agricultural applications for pine-based biochar

542
Influence of Pyrolysis Conditions on Char Properties Bob Hawkins Managing Research Chemist Eprida Athens, GA

Upload: carbonbrokers

Post on 16-Nov-2014

103 views

Category:

Documents


0 download

TRANSCRIPT

Page 1: Agricultural Applications for Pine-Based BioChar

Influence of Pyrolysis Conditions on

Char Properties

Bob HawkinsManaging Research Chemist

EpridaAthens, GA

Page 2: Agricultural Applications for Pine-Based BioChar

Intro

Char’s ability to provide nutrientsChar’s ability to facilitate nutrient

retention/uptakeLow temperature char –

temperature range 375-500o

Page 3: Agricultural Applications for Pine-Based BioChar

Sample PreparationBatch unit

Page 4: Agricultural Applications for Pine-Based BioChar

Sample PreparationPilot Plant

Page 5: Agricultural Applications for Pine-Based BioChar

Volatile ContentVM%

23.50%

24.50%

25.50%

26.50%

27.50%

28.50%

0 2 4 6 8

psig

PN

no steam

pine

higher temp

no vent

vent

Page 6: Agricultural Applications for Pine-Based BioChar

Fixed CarbonFC%

64.00%

65.00%

66.00%

67.00%

68.00%

69.00%

70.00%

0 2 4 6 8

psig

press

no steam

pine

higher temp

no vent

vent

Page 7: Agricultural Applications for Pine-Based BioChar

Total NutrientsCarbon content

55.0

60.0

65.0

70.0

75.0

80.0

PN371

PN402PN42

6SD37

8SD39

9SD418PC37

9PC40

1PC42

6PB382PB399PB426HW382HW400HW426HR387HR428

Charcoal sample ID

% C

Page 8: Agricultural Applications for Pine-Based BioChar

Total NutrientsNitrogen content

0.00

0.50

1.00

1.50

2.00

2.50

PN371

PN402

PN426

SD378

SD399

SD418

PC379

PC401

PC426

PB382PB399PB426HW382HW400HW426HR387HR428

Charcoal sample ID

% N

Page 9: Agricultural Applications for Pine-Based BioChar

Total Nutrients

Al B

Ca Cu

Fe K

Mg Mn

Mo Na

P Pb

Zn

Page 10: Agricultural Applications for Pine-Based BioChar

Available Nutrients Available Potassium

0

200

400

600

800

1000

1200

1400

360.0 380.0 400.0 420.0 440.0

Charring temperature (deg C)

mg

/kg

01000

20003000

40005000

60007000

80009000

Pine sawdust

Pine chips

Pine bark

Oak-sapwood

Oak-heartwood

Peanut hull pellets

Page 11: Agricultural Applications for Pine-Based BioChar

Available Nutrients Available Phosphorous

0.0

50.0

100.0

150.0

360.0 370.0 380.0 390.0 400.0 410.0 420.0 430.0 440.0

Charring temperature (deg C)

mg

/kg

0.0200.0400.0600.0800.01000.0

Pine saw dust

Pine chips

Pine bark

Oak-sapw ood

Oak-heartw ood

Peanut hull pellets

Page 12: Agricultural Applications for Pine-Based BioChar

Available Nutrients

Available P as % of total

0.00%

10.00%

20.00%

30.00%

40.00%

50.00%

PN371

PN402

PN426

SD378

SD399

SD418

PC379

PC401

PC426

PB382

PB399

PB426

HW38

2HW

400

HW42

6HR38

7HR42

8

% o

f to

tal P

Available K as % of total

0.00%10.00%20.00%30.00%40.00%50.00%60.00%

PN371

PN402

PN426

SD378

SD399

SD418

PC379

PC401

PC426

PB382

PB399

PB426

HW38

2HW

400

HW42

6HR38

7HR42

8

% o

f to

tal K

Page 13: Agricultural Applications for Pine-Based BioChar

Char pHChar pH

5

6

7

8

9

10

11

12

360.00 370.00 380.00 390.00 400.00 410.00 420.00 430.00 440.00

Temp

pH

Peanut hull pellet s

Pine sawdust

Pine chips

Pine bark

Oak-sapwood

Oak-hear twood

Page 14: Agricultural Applications for Pine-Based BioChar

CECCEC

9.010.011.012.013.014.015.016.017.018.019.0

350 400 450 500

PN

+250-420

+500-850

PN-pilot

No Steam

Page 15: Agricultural Applications for Pine-Based BioChar

CECCEC vs Pressure

0.0

2.0

4.0

6.0

8.0

10.0

12.0

14.0

0 2 4 6 8

PN

No Steam

Higher temp

Pine

Page 16: Agricultural Applications for Pine-Based BioChar

Surface Acid ConcentrationCharcoal surface acids (Titration w ith NaOH)

0

0.5

1

1.5

2

2.5

3

300 350 400 450 500

Charcoal temperature

To

tal a

mo

un

t o

f su

rfac

e ac

ids

(meq

/g)

pine chips

Pine saw dust

Pine Bark

Hardw ood (red)

Hardw ood (w hite)

Peanut hull pellets

No Steam

Pilot plant

Page 17: Agricultural Applications for Pine-Based BioChar

Char Production

Need for quick test for QA/QCUse of steam as a sweep gas shows increases in CEC and

surface acid formation

Page 18: Agricultural Applications for Pine-Based BioChar

ELSEVIER PII:SOO16-2361(!Xi)OOO81-6

Fuel Vol. 75, No. 9, 1051-1059, 1996 pp. Copyright 0 1996 Elsevier Science Ltd

Printed in Great Britain. All rights reserved 0016-2361/96 %15.00+0.00

Influence of temperature on the products from the flash pyrolysis of biomass

Patrick A. Horne and Paul T. Williams Department of Fuel and Energy, The University of Leeds, Leeds LS2 9JT, UK (Received 12 May 1995; revised 27 March 1996)

Biomass in the form of mixed wood waste was pyrolysed in a fluidized bed reactor at 400, 450, 500 and 550°C. The char, liquid and gas products were analysed to determine their elemental composition and calorific value. In particular, the liquid products were analysed in detail to determine the concentration of environmentally hazardous polycyclic aromatic hydrocarbons (PAH) and potentially high-value oxygenated aromatic compounds in relation to the process conditions. The gases evolved were COZ, CO and C,-C4 hydrocarbons. The liquids were homogeneous, of low viscosity and highly oxygenated. The molecular weight range of the liquids was 50-1300~. Chemical fractionation of the liquids showed that only low quantities of hydrocarbons were present and the oxygenated and polar fractions were dominant. PAH up to MW 252 were present in the liquids; some of the PAH identified have been shown to be carcinogenic and/or mutagenic. The concentration of PAH in the liquids increased with pyrolysis temperature, but even at the maximum pyrolysis temperature of 550°C the total concentration was < 120ppmw. The liquids contained significant quantities of phenolic compounds and the yield of phenol and its alkylated derivatives was highest at 500 and 550°C. Some of the oxygenated compounds identified are of high value. Copyright 0 1996 Elsevier Science Ltd.

(Keywords: biomass; flash pyrolysis; products)

The energy potential of biomass and solid wastes has become increasingly recognized as a means to help meet world energy demand. The use of biomass has a particularly important role as an energy source in developing countries1’2. The utilization of biomass and other alternative fuel sources rather than existing fossil fuels could offer more environmentally acceptable processes for energy production and will aid in conser- ving the limited supplies of fossil fuels. The recovery of energy from biomass and solid wastes has centred on biochemical and thermochemical processes3. Of the thermochemical processes, pyrolysis has received increased interest, since the process conditions can be optimized to maximize the production of chars, liquids or gasesle3. In particular, the production of pyrolysis liquids has been investigated with the aim of using the liquid product directly in fuel applications or by

;;t;zEfj producing refined fuels and/or chemical . The solid char can be used as a fuel in the

form of briquettes or as a char-oil/water slurry, or it can be upgraded to activated carbon and used in purification processes”*. The gases generated have a low to medium heating value but may contain sufficient energy to supply the energy requirements of a pyrolysis plant.

The physical conditions of the pyrolysis of biomass, such as temperature, heating rate and residence time, have been shown to have a profound effect on the product ields and composition . High heating rates of up to lc& s-1 at temperatures < 650°C and with rapid quenching, fav&r the formation of liquid products and minimize char and gas formation; these process conditions

are often referred to as ‘flash pyrolysis’. High heating rates to temperatures > 650°C tend to favour the formation of gaseous products at the expense of liquids. Slow heating rates coupled with low maximum tempera- tures maximize the yield of char.

In recent years, various flash pyrolysis processes have been developed to maximize the formation of liquid products for use as fuels or chemical feedstocks. A vortex reactor process has been developed by Diebold”“. This type of pyrolKsk process is an ablative technique. Scott and Piskorz ’ have designed the Waterloo flash pyrolysis process to maximize the liquid product yield. They have used small biomass particles (< 1 mm) as the feed and high heat transfer rates with a hot fluidized bed of sand. Georgia Tech in the USA has used an entrained flow pyrolysis reactor where the biomass particles are rapidly heated by a flow of hot gases13. Vacuum pyrolysis has also been used as a flash pyrolysis technique by Roy et a1.14. The liquid product yields from all the above processes were >50 wt%, with Dieboldgl” and Scott and Piskorz11112 reporting yields of >70 wt%.

The liquid products from flash pyrolysis processes have been reported as being homogeneous and of low viscosity, and are chemically extremely complex, containing hundreds of different components’5-‘7. The chemical composition of the liquid hydrocarbons and the relation of composition to process conditions has implications for end use as a fuel or chemical feedstock. Many biomass-derived pyrolysis oils are known to contain polycyclic aromatic hydrocarbons (PAH)18-20, some of which have been shown to be carcinogenic and/

Fuel 1996 Volume 75 Number 9 1051

Page 19: Agricultural Applications for Pine-Based BioChar

Influence of temperature on flash pyrolysis of biomass: P. A. Horne and P. T. Williams

n 4 S7ktyWVe -

II

Figure 1 Schematic diagram of the fluidized bed pyrolysis reactor

or mutagenic*l’**, which may have consequences for the handling of the fuel. Where the proposed end use of the liquid hydrocarbons is as a chemical feedstock, again the process conditions which optimize the formation of high-value chemicals in the liquid have economic benefits. In this context the oxygenated aromatic hydrocarbons are of particular interest. Biomass-derived oils have been shown to contain phenols’5’23 which have extensive use in the production of resins. In addition, phenolic derivatives have a high value, as they are used as flavourings in the food industry. Syringol and guaiacol are also found in significant concentrations in biomass- derived pyrolysis oils and are used in the production of biodegradable polyesters and polyethers.

In this work, a semi-continuous fluidized bed reactor was used to flash-pyrolyse a waste wood feed. The pyrolysis temperature range studied was 400-550°C as this is known to give high yields of liquid products whilst minimizing the formation of char and gases. Pyrolytic liquids derived from biomass have been analysed by a number of workers15-17, but there are limited data on the individual yields of PAH and oxygenated aromatic compounds in relation to process conditions, coupled with analyses of the gas phase and char. Therefore in this

work the pyrolysis liquids were characterized in detail in relation to process conditions, with particular reference to the contents of PAH and oxygenated aromatic compounds.

EXPERIMENTAL

Biomass The biomass used was a mixture of waste wood

shavings obtained from a woodworking company, and therefore represented a mixture of different wood types. Table 2 shows the proximate and ultimate analyses of the biomass pyrolysed.

Pyrolysis reactor The reactor system used was a fluidized bed pyrolysis

unit (Figure I). The reactor was 7.5 cm diameter x 50 cm high, constructed from stainless steel. The fluidization gas was nitrogen, preheated before entry into the reactor. The flow-rate of nitrogen was sufficient to provide three times the minimum fluidizing velocity (MFV) to the bed. The bed material was quartz sand with a mean diameter of 250 pm and a static bed depth of 8 cm. The biomass was fed to the reactor via a screw feeder and nitrogen gas stream to the top of the fluidized bed at a rate of 0.216- 0.228 kg h-l. The residence time of the pyrolytic vapours in the hot reactor was N 2.5 s at a pyrolysis temperature of 500°C. The pyrolysis vapours leaving the reactor were passed through a series of condensers. The initial condensation was provided by two stainless steel condensers which were water-cooled both internally and externally, with the catch pots for each condenser ice-cooled. There followed a series of glass condensers cooled using a mixture of solid carbon dioxide and acetone, which were used to remove any residual vapours from the gas stream. This condensation system was found to be 97% efficient in trapping volatile aromatic hydrocarbons such as toluene and 99% efficient for the condensation of water. The pyrolysis condensate from all the condensers was mixed and stored at -10°C. The water fraction of the pyrolysis liquids was separated from the organic fraction using the standard ASTM D244 and IP 29.1 methods.

Gas analysis The carrier gas stream was sampled after the

condensation system to allow for the analysis of any non-condensable gases. Analysis was carried out using gas chromatography. The gases determined were CO and H2 using a molecular sieve SA 60-80 column and CO2 using a silica column, with argon as carrier gas and thermal conductivity detection. For the determination of hydrocarbon gases up to Cs a Porisil C 80-100 column was used, with nitrogen as carrier gas and a flame ionization detector.

Table 1 Proximate and ultimate analyses (wt%) of the wood feed

Proximate analysis Volatiles 91.0 Moisture 1.5 Ash 1.5

Ultimate analysis C 45.9 H 5.12 0 46.6

Elemental analysis The carbon and hydrogen contents of the pyrolysis

liquids and char were determined using an elemental analyser. The oxygen content of the liquids and chars was found by difference.

Calor@ic value The calorific value of the pyrolysis liquid was

1052 Fuel 1996 Volume 75 Number 9

Page 20: Agricultural Applications for Pine-Based BioChar

Influence of temperature on flash pyrolysis of biomass: P. A. Horne and P. J. Williams

determined by bomb calorimetry. The values reported are the gross heat of combustion at constant volume.

Oil analysis Molecular weight range. The molecular weight (MW)

range of the oils was determined using a mini-column size exclusion chromatography (s.e.c.) system which has been described previouslg4. The system incorporated two 150 mm x 4.6 mm i.d. columns with Polymer Labora- tories 5 pm RPSEC 100 A type packing. A third column of the same material was placed in line between the pump and the injection valve, to ensure pre-saturation of the solvent with the column packing material and also to avoid analytical column dissolution and hence loss of performance. The solvent used for the mobile phase was tetrahydrofuran (THF), which has been shown by Johnson and Chum25 to be suitable for the analysis of biomass pyrolysis oils. The calibration system used was based on polystyrene samples of low polydispersity in the MW range from 800 to 860000; also included was benzene for low-MW calibration. Samples were intro- duced through a 2 ,ul loop injection valve. Two detectors were used: a U.V. detector sensitive to the aromatic compounds, and a refractive index (RI) detector moni- toring the elution of all compounds, enabling more infor- mation to be obtained regarding the relative contribution to the MW of the difference chemical class fractions24. Ultraviolet scanning of the polystyrene MW fractions in THF indicated that the maximum absorbance was at 262nm. Determination of the maximum efficiency for the system showed that a mobile phase flow rate of 0.26 mL min-’ and a column temperature between 2 and 14°C were optimum24. For practical purposes the column was maintained at 0°C. Column temperature is usually maintained at room26 or elevated temperature27-29. However, the optimum efficiency was obtained at lower than ambient temperatures for the system used in this work.

Evaluation of the system has shown that there are systematic variations in the measured MW of n-alkanes, n-alkenes, PAH and alkylated cyclic hydrocarbons compared with the polystyrene standards24. Deviations from polystyrene calibration curves have also been shown previously for other model compounds26>30>31. For biomass pyrolysis oils, Johnson and Chum25 used polystyrene MW fractions and showed that aromatic acids and naphthalenes deviated significantly from the calibration curve. However, in this work the s.e.c. system was used to compare oils derived from different process conditions rather than to determine the absolute MW.

Chemicalfractionation. The biomass-derived pyrolysis oils were fractionated using mini-column liquid chroma- tography. The mini-columns were conditioned by washing with n-pentane. A 250 mg sample of the oil was placed on the column. The samples were added by adsorption on to inert Chromosorb G/AW/DMCS 60-80 support, mixed and then packed above the silica section of the column. This approach is necessary for polar oils, which may produce a solid-phase precipitate with the n-pentane solvent and block the column, and also to improve solvent contact with the oil. The column was then eluted with n-pentane, benzene, ethyl acetate and methanol (polarity relative to Al2O3, 0.00, 0.32, 0.58 and 0.95 respectively), to produce aliphatic, aromatic, oxygenated- aromatic and polar chemical class fractions respectively.

The fractions were analysed by Fourier transform infrared spectroscopy (FT-i.r.) to determine the efficient separation of the chemical classes. In addition, each fraction was analysed by gas chromatography-mass spectrometry using ion trap detection (g.c.-ITD) to verify the fractionation scheme. The percentage mass in each class fraction was determined by analysis of the total gas chromatogram in relation to known masses of sample and standards analysed by the system. This avoided the necessity to nitrogen-evaporate (blow down) the solvent eluant, which may result in losses of light hydrocarbons.

Detailed characterization of the pyrolysis liquids. The concentrations of monocyclic and polycyclic aromatic hydrocarbons (PAH) in the benzene fractions and the oxygenated aromatic species present in the ethyl acetate fraction were determined using gas chromatography- mass spectrometry (g.c.-m.s.) The g.c.-m.s. system was a Carlo-Erba Vega HRGC with cold on-column injections, coupled to a Finnigan Mat ion trap detector (ITD). A DB-5 fused silica capillary column 25mx 0.3mm was used and the temperature programme was 60°C for 2min followed by 5 Kmin-’ to 270°C with a dwell time of 25 min at 270°C. The ITD mass range was set at 30-350~ with a scan time of 0.125-2 s. The ITD was linked to a PC with a mass spectral library facility. Identification of the individual constituents in the chemical fractions was carried out using the g.c.- m.s. and retention indices23,32Y33. Single-ion monitoring (SIM) was also carried out to confirm the identification of compounds and also to examine the samples for a series of substituted compounds, for example, naphthalene and methyl-, dimethyl- and trimethylnaphthalenes. Quantification was determined by the use of extensive external standards.

RESULTS AND DISCUSSION

The yields of the pyrolysis products are shown in Table 2. Several repeat runs were carried out at 550°C under identical conditions to test the repeatability of the process. The differences observed between the yields of the char, liquid and gas for these repeat runs were negligible. The liquid yield for all the runs was >65 wt%, with a maximum yield of 67.8 wt% at 550°C. At pyrolysis temperatures of 500 and 550°C the pyrolysis

Table 2 Product yields (wt%) from the flash pyrolysis of wood

Reactor temperature (“C) Char Liquid Gases Total

400 24.1 65.5 10.2 99.8 450 21.4 65.7 11.1 98.2 500 18.9 66.0 14.6 99.5 550 17.3 67.0 14.9 99.2 550 16.7 67.8 15.7 99.2 550 17.1 66.2 15.2 98.5

Table 3 Water and organic contents (wt%) of the liquid product from the flash pyrolysis of wood

Reactor temperature (“C) Water Organic material

400 28.0 72.0 450 27.6 72.4 500 29.6 70.4 550 26.8 73.2

Fuel 1996 Volume 75 Number 9 1053

Page 21: Agricultural Applications for Pine-Based BioChar

Influence of temperature on flash pyrolysis of biomass: P. A. Horne and P. T. Williams

liquid was a homogeneous dark liquid of low viscosity. Similar observations were made by Scott and Piskorz ’ using a fluidized bed process with a pyrolysis tempera- ture of 500°C. The pyrolytic product from the 400 and 450°C fluidized bed pyrolysis temperature experiments was found to be of low viscosity but there were traces of a black tar residue on the base of the storage vial. The pyrolysis liquid product was a mixture of organic material and water. The water content of the liquid was determined using the ASTM D244, IP29.1 method; Table 3 shows the results of this separation. The water content of all the pyrolytic liquids was approximately the same (26.8-29.6wt%). The initial wood feed contained 7.5 wt% moisture, which would be released during pyrolysis and subsequently collected during condensation. This contributed approximately half the water present in the pyrolytic liquid. Therefore water formed by pyrolysis accounts for 14 wt% of the liquid condensate or lOwt% of the initial wood feed. Table 3 also shows that over the temperature range studied, the yield of oil was not significantly affected by a change in temperature.

The char yield was reduced as the pyrolysis temperature was increased, from 24.1 wt% at 400°C to 16.7 wt% at 550°C. The char yields reported in this work were higher than those found by other workers1”12. This difference was probably due to the fact that a mixed wood waste was used in this work rather than a single known biomass feedstock as used by Scott et al.11>‘2. The decrease in the char yield with increasing temperature could be due either to greater primary decomposition of the wood at higher temperatures or to secondary decomposition of the char residue.

The gaseous product yield increased with pyrolysis temperature. The individual yields of the major gaseous species are shown in Table 4. The increase in gaseous products is thought to be predominantly due to secondary cracking of the pyrolysis vapours at higher

Table 4 Yields (wt%) of gases from the flash pyrolysis of wood

Reactor teme. (“(7 L CO COP Hz CH4 C2H6 W4 C3h C3H6

400 3.75 6.02 0.018 0.21 0.05 0.05 0.03 0.05 450 4.20 6.32 0.022 0.35 0.05 0.08 0.02 0.08 500 6.76 6.61 0.022 0.58 0.09 0.26 0.05 0.19 550 6.71 6.86 0.023 0.69 0.16 0.26 0.04 0.45

Table 5 Elemental composition (wt%) of the products from the flash nvrolvsis of wood

Reactor temp. (C) C H 0

Total liquid product 400 38.6 450 39.9 500 37.6 550 38.1

Liquid product after water removal 400 58.1 450 58.0 500 57.2 550 59.6

Char 400 68.1 450 71.9 500 73.0 550 71.6

8.52 8.61 8.42 8.46

6.10 34.6 6.24 35.0 6.12 35.2 6.05 33.5

3.23 3.16 3.17 2.65

51.7 50.4 53.0 52.8

28.2 24.2 22.9 24.4

temperatures. However, the secondary decomposition of the char at higher temperatures may also give non-condensable gaseous products. Beaumont and Schwob34 and Samolada et aL3’ investigated the flash pyrolysis of wood and found that as the pyrolysis temperature was raised, the gaseous yield was increased. The yield of CO and CO2 in general increased with increasing pyrolysis temperature. However, the increase in CO was far more pronounced than that of C02. The yield of all the hydrocarbon gases increased with temperature. Similar observations have been made by other workers11’35.

Elemental analysis of pyrolysis products The liquid and char products were analysed to

determine their elemental composition. Table 5 shows the elemental compositions of the wet pyrolytic liquid, the oil after removal of water, and the chars. The elemental compositions of the pyrolytic liquids both before and after removal of water were similar for all the pyrolysis temperatures investigated. The similarity was probably due to the particular temperature range studied, the lowest temperature of 400°C being adequate to decompose the wood feed, and the low residence time limiting the amount of secondary reactions. The pyrolysis liquids arising from the reactor before water removal had a carbon content lower than that of the initial wood feed. This indicates that such pyrolytic liquids have a low CV, and the removal of the water is necessary to maximize their CV. The composition of the pyrolytic liquid produced in this work compares well with the finding of Churin36.

Characterization of the pyrolysis liquids Molecular weight range. The pyrolytic liquid after

water removal was used for determination of the MW range of the oils, because the presence of water caused the RI detector to give inconsistent results. Figure 2 shows MW ranges of the pyrolysis oils for the RI and U.V. detectors. Only the data for the 400 and 550°C pyrolysis oils are shown, for clarity. The oils all showed similar MW ranges from 50 to 1300~ for both the RI and U.V. detectors. The similarity in MW among the oils over the temperature range studied was due to the fact that the lowest temperature, 4OO”C, was sufficient to give almost complete decomposition of the wood feed and the low residence times minimized secondary reactions which might have occurred at higher tempera- tures. The average MW was -220 and ~275 u for the RI and U.V. detectors respectively. Diebold et a1.37 obtained flash pyrolysis oils from a vortex reactor system at 625°C. They carried out s.e.c. analysis of the oil and found components present in the oil up to and including 2000~. Evans and Milne2’ used molecular beam mass spectrometry (MB-m.s.) to analyse the pyrolysis vapours whilst in the pyrolysis reactor. They found molecular

Table 6 Chemical fractionation of the pyrolysis liquids (wt%)

Reactor Pentane Benzene Ethyl acetate Methanol temp. (“C) eluate eluate eluate eluate Total

400 <0.2 0.42 36.2 56.8 94.6 450 <0.2 0.51 37.4 57.6 95.7 so0 <0.2 0.54 39.3 56.7 96.7 550 <0.2 0.54 38.4 55.2 95.3

1054 Fuel 1996 Volume 75 Number 9

Page 22: Agricultural Applications for Pine-Based BioChar

influence of temperature on flash pyrolysis of biomass: P. A. Horne and P. T. Williams

0 1.6 1.8 2.0 2.2 2.4 2.6 2.8 3.0 3.2

Log Molecular Mass

(b)

b oi,4,,,, , , ‘, , ” , , ), I 16 1.6 2.0 2.2 2.4 2.6 2.8 3.0 3.2

Log Molecular Mass

Figure 2 Molecular mass range of the pyrolysis liquid at 400 and 550°C after removal of water, using refractive index and ultraviolet detection

weights predominantly between 100 and 150 u. The dif- ference between the findings of Evans and Milne and the present results is due to the fact that the condensed pyrolysis liquids were analysed in this work and that of Diebold et al.37. It is thought that some of the smaller species present in the pyrolysis vapours are highly reac- tive and on condensation can polymerize to form higher-molecular-weight material’.

Johnson and Chum25 have suggested that the high apparent MW of biomass pyrolysis oils may be due to solute-solute or solute-solvent association, producing high-molecular-weight complexes. In this work, the samples were prepared with THF immediately prior to analysis, since previous work has shown that storage of the sample in THF for extended periods did result in an increase in apparent MW due to interaction of the sample with the solvent3*.

The U.V. detector was used to obtain detail on the MW range of the aromatic fraction of the pyrolysis oils. It showed that there was some high-molecular-weight material present in the oils which was aromatic in nature. This could be formed from the decomposition of the lignin fraction of the wood.

The results of the chemical fractionation are shown in Table 6, corrected to account for the removal of water. They show that the liquids are almost exclusively made up of oxygenated compounds. The ethyl acetate fraction, which contains the phenolic and aromatic oxygenated compounds, shows a small but significant increase in concentration from 36.2 to 39.3 wt% of the oil as the pyrolysis temperature increases from 400 to 550°C. The polar material present in the methanol fraction of the liquids shows no significant trend with change in temperature, varying from 55.2 to 57.6 wt%. The hydro- carbons, eluted in the pentane and benzene fractions, account for < 1 wt% of the pyrolytic liquid. The benzene fraction, containing aromatic species, shows a small increase with increasing pyrolysis temperature. The similarity of the results for the chemical fractionation of the oils over the temperature range studied is again due to the fact that the fluidized bed process minimized any secondary reactions and the lowest temperature, 400°C was sufficient to give almost complete decomposi- tion of the wood feed.

Characterization of the chemical fractions of the pyrolysis liquids

Chemical fractionation. The pyrolytic liquids after PAH content. The major aromatic hydrocarbon removal of water were separated into four chemical compounds present in the pyrolysis oils are shown in classes by sequential elution of the column with pentane, Table 7, with PAH compounds up to molecular mass benzene, ethyl acetate and methanol to give aliphatics, aromatics including PAH, phenolic and neutral oxyge-

252 identified and quantified. The major aromatic hydro-

nated compounds, and polar compounds respectively. carbons present in the pyrolysis liquids were the monocyclic compounds such as benzene, toluene and

Table 7 Concentrations (ppmw) of the aromatic compounds present in the pyrolysis oils

Reactor temperature (“C)

400 450 500 550

Benzene 7 14 55 97 Toluene 5 12 35 6-l Dimethylbenzene 1 1 2 I Ethylbenzene 2 2 7 24 Dimethylbenzene 1 1 3 12 Trimethylbenzene 5 5 7 9 Dihydroindene <l <l <l 4 Indene 2 3 6 2 Benzofuran 1 2 4 10 Methylbenzofuran 3 2 5 13 Tetramethylbenzene <l <l <l <l Methylindene <l <l <l 2 Naphthalene 3 5 4 11 Methylnaphthalene 3 4 9 14 Biphenyl 1 1 1 2 Acenaphthene <l 1 1 3 Dimethylnaphthalene 3 5 9 15 Trimethylnaphthalene <l 3 5 7 Tetramethylnaphthalene <l <l <l <l Fluorene <l <l 1 1 Methylfluorene <l <l 1 <l Phenanthrene 3 5 6 11 Anthracene 2 2 4 6 Dimethylfluorene <l <l <l <l Methylphenanthrene I I 10 16 Dimethylphenanthrene 3 I 8 12 Trimethylphenanthrene <l 1 1 2 Tetramethylphenanthrene <l <l <l 2 Pyrene <l <l <l 1 Methylpyrene <l <l <l <l Dimethylpyrene <l <l <l <l Chrysene <l <l <l <l Methylchrysene <l <l <l <l Benzopyrene <l <l <l <l

Fuel 1996 Volume 75 Number 9 1055

Page 23: Agricultural Applications for Pine-Based BioChar

influence of temperature on flash pyrolysis of biomass: P. A. Horne and P. T. Williams

dimethyl- and ethylbenzenes. The PAH found were naphthalene and phenanthrene and their alkylated derivatives and in minor concentrations other compounds such as pyrene, chrysene and benzopyrenes. The concen- tration of PAH increased with increasing temperature. The PAH found have been shown to be carcinogenic and/or mutagenic2113g@. However, even at the highest temperature of 550°C the total concentration of PAH quantified was < 120 ppmw.

PAH have been detected by other workers in biomass pyrolysis oils. For example, Pakdel and Roy41 analysed oil from the pyrolysis of Aspen poplar wood chips in a vacuum pyrolysis unit. They found a wide range of PAH including naphthalene, phenanthrene and fluorene and their alkylated substituents, in addition to benzene and its alkylated substituents. In addition, they quantified certain PAH, some of which were biologically active, such as benzo[a]pyrene, chrysene and benzo[k]fluor- anthene, but were present in very low concentration, <5ppmw. However, the oil was collected at a biomass pyrolysis temperature of only 263°C. Gasification tars, produced at higher temperatures (XSO’C) than the pyrolysis oils, were found to contain much higher concentrations of PAH. However, the yield of gasification tar was small relative to that of the biomass pyrolysis oils. Elliottlg has also confirmed that PAH are not present in pyrolysis oils produced at temperatures <5OO”C but markedly increase in concentration in gasification tars produced >7OO”C. Desbene et ~21.‘~ analysed pyrolysis oils from the slow pyrolysis of hornbeam biomass. The PAH detected included alkylated naphthalenes, biphenyls, fluorene, anthracene, pyrene and benzofluorene. The composition of the oil depended on whether the pyrolysis was slow or fast. The low concentrations of PAH in the pyrolysis oils in the present work are due to the process conditions used. The relatively low temperatures and residence times restrict the formation of PAH by reducing the amount of possible secondary reactions. For significant quantities of PAH to form during the pyrolysis of biomass, long residence times are needed at temperatures >700”C20.

Table 7 shows that as the temperature of pyrolysis was increased, the concentration of PAH in the oils also increased. For each individual PAH there was an increase with increasing pyrolysis temperature. The reactions of the pyrolysis vapours at increased temperatures result in the formation of PAH. The formation of aromatic and polyaromatic hydrocarbons by secondary reactions during pyrolysis has been attributed to at least two mechanisms: a Diels-Alder type reaction, and deoxy- genation of oxygenated aromatic compounds42.

The calorific values of the pyrolysis liquid after removal of water, the char and the

g ases from the

550°C run were found to be 22MJ kg- , 25.9 MJ kg-’ and 15.7 MJ me3 respectively. The original wood feed had a CV of 17.7 MJ kg-‘. Therefore the pyrolysis liquid after removal of water contained -63% of the potential energy in the wood feed. The density of the pyrolytic liquid (1.2 g cme3) was also much greater than that of the initial feed (0.4 gcmp3), giving a much higher energy density. There was a significant amount of water present in the pyrolytic liquid which would significantly reduce its CV. Indeed, the elemental analysis shows that the pyrolysis liquid before removal of water contains significantly less carbon than the original biomass. However, removal of the water may not be beneficial,

1056 Fuel 1996 Volume 75 Number 9

as the liquid product from the flash pyrolysis of wood has been shown to be unstable at elevated temperatures and polymerizes when exposed to air37. The viscosity of the pyrolytic liquid may also be increased by removing the water, which could affect its use as a fuel.

There are conflicting opinions as to the potential uses of pyrolytic liquids derived from biomass. Maggi et aI.43 state that flash pyrolysis bio-oils are corrosive, are not completely volatile, have a high oxygen content and do not mix readily with conventional fuels. They state that bio-oils used in direct combustion processes rarely meet the standards required for fuels. Rapper questions whether pyrolysis liquids meet the requirements of a storable liquid fuel, and states that pyrolysis oils are much lower in quality than even a heavy fuel oil, which itself has a rapidly shrinking market. However, Bridgwater45 has suggested various processes where flash pyrolysis liquids could be used both now and in the future. Many of the processes that he suggests require the pyrolysis liquids to be refined or upgraded before they are suitable for use. Solantausta et a1.46 used flash pyrolysis oils as a fuel in a diesel power plant. They concluded that the preliminary results were positive but that further research was necessary on the storage of the oils and that the oils themselves required more detailed characterization. More detailed characterization of the pyrolysis oils is necessary to optimize their potential. The PAH content of any fuel is of great importance, as these compounds are environmentally hazardous and therefore their concentration in a fuel should be minimized. The process conditions used in this work show that flash pyrolysis gives only low levels of PAH formation from biomass feedstocks.

Ethyl acetate fraction. The major compounds present in the ethyl acetate eluates of the pyrolysis liquids were identified and quantified; the results are shown in Table 8. The major constituents of the eluate appear to be light organic oxygenates and phenolic material. The major phenolic compounds present in the ethyl acetate eluate of the pyrolysis liquid were phenols, benzenediols, meth- oxyphenols and dimethoxyphenols. The concentration of phenol and its alkylated derivatives increased as the pyrolysis temperature was increased, but 500 and 550°C gave similar yields. The formation of methoxyphe- no1 and its mono- and dimethyl derivatives was greatest at the lower pyrolysis temperatures. This was also true for the overall concentration of dimethoxyphenol and its derivatives. The more severe pyrolysis temperatures of 500 and 550°C would increase the possibility of secondary reactions that could be responsible for the thermal breakdown of the larger phenolic compounds such as methoxy- and dimethoxyphenols to phenol, which would then undergo alkylation, thus giving the increase in alkylated phenols observed at 500 and 550°C.

The ethyl acetate fraction also contained large amounts of methylmethoxy-, dimethoxy-, hydroxy- methoxy- and dihydroxymethoxyphenylethanones. The concentration of these compounds in the pyrolysis oils varied, depending on the pyrolysis temperature. The other major group of compounds present in this fraction comprised cyclopentanone, cyclopentenone and the methyl and hydroxymethyl derivatives of cyclopen- tenone. The concentration of these compounds in the pyrolysis oils increased as the pyrolysis temperature was increased. There were large amounts of light organic

Page 24: Agricultural Applications for Pine-Based BioChar

Influence of temperature on flash pyrolysis of biomass: P. A. Horne and P. T. Williams

compounds such as glycol aldehyde and the propyl ester of acetic acid, which were greatest in the pyrolysis oil produced at 450°C. Other light organics present in the oils were furanmethanol, furanone and methylfurfural. The concentration of these compounds in general increased with pyrolysis temperature.

In the work the biomass pyrolysis liquids have been shown to contain significant quantities of phenolic compounds. These phenolic compounds could be removed from the pyrolysis liquids prior to their combustion, as they have a significant commercial value47148. The use of the pyrolysis liquids for the

production of phenolic chemical feedstocks as well as for the production of liquid fuels would increase their potential commercial exploitation. In maximizing the formation of individual phenolic compounds, it must be taken into account that an increase in pyrolysis temperature in this work tended to increase the forma- tion of phenol and its alkylated derivatives whilst reducing the formation of the larger phenolic compounds. Stoikos48 has reviewed the upgrading of biomass oils to high-value chemicals and premium-grade fuels. He reports that oxygenated compounds such as methylphenols (cresols), methyoxyphenol (guaiacol),

Table 8 Concentrations (ppmw) of the major constituents in the ethyl acetate eluate of the flash pyrolysis oils

Reactor temperature (“C)

400 450 500 550

MW 60 (acetic acid methyl ester or glycol aldehyde) 11876 13211 12874 12000

Acetic acid propyl ester 13214 17656 14901 15710

Cyclopentanone 2231 2310 2415 2380 Cyclopentenone 4645 4650 5315 5580

Furanmethanol 2641 2460 2412 2467

Methylcyclopentenone 610 742 898 845

Furanone 7178 8141 9542 10024

Methylfuraldehyde 0 0 0 2308

Methylcyclopentenone 0 0 0 681

Phenol 937 1073 1992 1839

Methylhydroxycyclopentenone 1987 2143 2101 2470 Methylphenol 779 1213 2215 2261

Methoxyphenol 3373 3657 2892 2930

Dimethylphenol 116 149 430 436

Methylmethoxyphenol 206 177 143 1412

Benzenediol 3432 3771 3730 4028

Methylbenzenediol 715 1313 2379 2675 Trimethylphenol 0 0 408 229

Tetramethylphenol 0 0 0 0 Dimethylmethoxyphenol 1317 1021 954 750 Hydroxymethylphenylethanone 3003 2974 2854 3097 Dimethoxyphenol 3756 3720 4120 4261 Ethenylbenzenediol n/a nla nla 1414 Methoxypropenylphenol 2711 2881 3214 3542 MW 168 (unidentified) 4271 3297 3365 3252 Methoxypropenylphenol 6645 6525 4974 4511 Hydroxymethoxyphenylethanone 1316 1723 1721 1775 Dihydroxymethoxyphenylethanone 1190 1303 1021 807 Hydroxymethoxyphenylpropanone 895 1074 876 913 MW 180 (unidentified) 3134 3017 4521 5246 Dimethoxypropenylphenol 2381 2751 2552 2257 MW 180 (unidentified) 597 703 515 465 Hydroxydimethoxybenzaldehyde 1695 1723 2195 1669 Hydroxymethoxypropenylphenol 7660 8305 8778 9203 Dimethoxypropenylphenol 5834 5520 4874 4948 Hydroxydimethoxyphenylethanone 1019 1071 1066 1026 MW210 (unidentified) 641 607 688 906 MW210 (unidentified) 1444 1861 2154 3146 Naphthol 33 40 65 54 Methylnaphthol 66 70 99 116 Dimethylnaphthol 0 0 0 0 Trimethylnaphthol 0 0 0 0

Fuel 1996 Volume 75 Number 9 1057

Page 25: Agricultural Applications for Pine-Based BioChar

Influence of temperature on flash pyrolysis of biomass: P. A. Horne and P. T. Williams

2-furaldehyde (furfural) and methoxypropenylphenol (isoeugenol), which have been shown to be in high concentration in the oils (Table 8), have a considerable economic potential. Such chemicals have applications in the pharmaceutical, food and paint industries.

CONCLUSIONS

The formation of pyrolytic liquid products derived from biomass can be maximized using a fluidized bed reactor coupled with moderate temperatures of 400- 550°C and short residence times. The pyrolysis temperatures of 500 and 550°C gave a pyrolytic liquid product which was homogeneous and of low viscosity. The pyrolytic oil was found to contain material with a molecular mass of up to 1300 u. Chemical fractionation showed that the pyrolytic liquids were composed almost entirely of oxygenated components, with only low quantities of hydrocarbons present. The analysis of the ethyl acetate eluate from the chemical fractionation of the pyrolytic liquids showed that the oils contained significant quantities of oxygenated aromatics, mainly phenol and its deriva- tives. The concentration of phenol and its alkylated derivatives was greatest at 500 and 550°C whereas the concentration of the larger phenolic compounds was greatest at lower temperatures. Some of the phenolic compounds present have been shown to have a significant commercial value. PAH up to molecular mass 252 were found to be present in the pyrolytic liquids. The concentration of PAH was increased with temperature, but the overall PAH concentration in all the pyrolytic liquids was low. The pyrolytic liquids were found to have a relatively low CV, but they contained -63% of the potential energy in the initial biomass feed and had a much greater density than the original biomass.

ACKNOWLEDGEMENTS

This work was supported by the UK Science and Engineering Research Council under grant numbers GR/F/06074 and GR/F/87837, whose support the authors gratefully acknowledge.

REFERENCES

Strub, A., Chartier, P. and Schleser, G. (Eds), ‘Research in Thermochemical Biomass Conversion’, Elsevier Applied Science, London, 1983 Bridgwater, A. V. and Kuester, J. L. (Eds), ‘Research in Thermochemical Biomass Conversion’, Elsevier Applied Science, London, 1988 Grassi, G., Gosse, G. and dos Santos, G. (Eds), ‘Biomass for Energy and Industry’, Elsevier Applied Science, London, 1990 Diebold, J. and Scahill, J. In ‘Pyrolysis Oils from Biomass: Producing, Analysing and Upgrading’ (Eds J. Soltes and T. A. Milne), Symposium Series 376, American Chemical Society, Washington, DC, 1988 Bridgwater, A. V. In ‘Biomass for Energy and Industry’, (Eds G. Grassi, G. Gosse, and G. dos Santos), Elsevier Applied Science, London, 1990 Esnouf, C., Francois, 0. and Churin, D. In ‘Biomass for Energy and Industry’ (Eds G. Grassi, G. Gosse and G. dos Santos), Elsevier Applied Science, London, 1990 Keirsse, H., Hartoyo, W., Buehens, A., Schoeters, J. and

8

14

15

16

17 18

19

20 21

22 23

24

25

26

27 28

29

30

31 32

33

34

35

36

37

38

39

40

Janssens, J. In ‘Research in Thermochemical Biomass Conversion’ (Eds A. V. Bridgwater and J. L. Kuester), Elsevier Applied Science, London, 1988 Bridgwater, A. V. In ‘Pyrolysis and Gasification’ (Eds G. L. Ferrero. K. Maniatis. A. Buekens and A. V. Bridawater). Elsevier Applied Science, London, 1989

,.

Diebold, J. In ‘Specialists Workshop on Fast Pyrolysis of Biomass’, Copper Mountain, CO, 1980, p. 237 Diebold, J. Am. Chem. Sot. Div. Pet. Chem. Preprints. 1987, 32(2), 297 Scott, D. S. and Piskorz, J. Can. J. Chem. Eng. 1987,60, 1246 Scott, D., Piskorz, J. and Radlein, D. Znd. Eng. Chem. Process Des. Dev. 198524, 581 Knieht. J.. Gordon. C. W.. Kovac. R. J. and Newman. C. J. In Proceedings of the 1985 Biomass Thermochemical Contractors Meeting, Minnesota, 1985, p. 99 Roy C., de Caumia, B., Plante, P. and Menard, H. In ‘Energy from Biomass and Wastes VII’, 1983, pp. 1147-l 170 Piskorz, J., Scott, D. S. and Radlein, D. In ‘Pyrolysis Oils from Biomass: Producing, Analysing and Upgrading’ (Eds J. Soltes and T. A. Milne), Symposium Series 376, American Chemical Society, Washington, DC, 1988, pp. 167-178 Pouwels, A. D., Tom, A., Eijkel, B. and Boon, J. J. Anal. Appl. Pyrol. 1987, 11,417 Beaumont, 0. Wood Fibre Sci. 1985,17,228 Desbene, P. L., Essayegh, M., Desmazieres, B. and Basselier, J. J. In ‘Biomass Pyrolysis Liquids Upgrading and Utilization’ (Eds A. V. Bridgwater and G. Grassi), Elsevier Applied Science, London, 1991 Elliott, D. C. In Pyrolysis Oils from Biomass: Producing, Analysing and Upgrading’ (Eds J. Soltes and T. A. Milne), Symposium Series 376, American Chemical Society, Washington, DC, 1988 Evans, R. J. and Milne, T. A. Energy Fuels 1987,1, 125 Lee, M. L., Novotny M. and Bartle, K. D. ‘Analytical Chemistry of Polycyclic Aromatic Compounds’, Academic Press, New York, 1981 Williams, P. T. J. Inst. Energy 1990, 63, 22 Williams, P. T. and Home, P. A. J. Anal. Appl. Pyrol. 1995, 31, 15 Williams, P. T. and Taylor, D. T. J. Anal. Appl. Pyrol. 1994, 29, 111 Johnson, D. K. and Chum, H. L. In ‘Pyrolysis Oils from Biomass: Producing, Analysing and Upgrading’ (Eds J. Soltes and T. A. Milne), Symposium Series 376, American Chemical Society, Washington, DC, 1988, pp. 157-166 Bartle, K. D., Mulligan, M. J., Taylor, N., Martin, T. G. and Snape, C. E. Fuel 1984,63, 1556 Sanchez, V., Murgia, E. and Lubkowitz, J. A. Fuel 1984,63,612 Determann, H. ‘Gel Chromatography’, Springer-Verlag, New York, 1968 Yau, W. W., Kirkland, J. J. and Bly, D. D. ‘Modem Size Exclusion Liauid Chromatoeraohv’. Wilev. New York. 1979 Mulligan, M.. J., Thomas, K. M. and Tytko, A. P. Fuel 1987, 66, 1472 Karlsson, 0. Fuel 1990,69, 608 Lee, M. L., Vassilaros, D. L., White, C. M. and Novotny, M. Anal. Chem. 1982,51,768 Vassilaros, D. L., Kong, R. C., Later, D. W. and Lee, M. L. J. Chromatogr. 1982,252, 1 Beaumont. 0. and Schwab. Y. Znd. End. Chem. Process Des. Dev. 1984,‘23, 637 ’ Samolada, M. C., Stoicos, T. and Vasalos, I. A. J. Anal. Appl. Pyrol. 1990, 18, 127 Churin, E. ‘Catalytic Treatment of Pyrolysis Oils’, Cat. No. CD-NA-12480-EN-C, Commission of the European Commu- nities, 1990 Diebold, J. P., Chum, H. L. Evans, R. L. Milne, T. A. Reed, T. B. and Scahill, J. W. In ‘Energy from Biomass and Wastes’ (Ed. D. Klass), Elsevier Applied Science, London, 1987, pp. 801-829 Williams, P. T. and Taylor, D. T. In ‘Biomass for Energy and Industry’ (Eds G. Grassi, G. Gosse and G. dos Santos), Elsevier Applied Science, London, 1990 Longwell, J. P. In ‘Soot in Combustion Systems and its Toxic Properties’ (Eds J. Lahaye and G. Prado), Plenum Press, New York, 1983 Barfnecht, T. R., Andon, B. M., Thilly, W. G. and Hites, R. A. In ‘Polynuclear Aromatic Hydrocarbons: Chemical Analysis and Biological Fate’ (Eds M. Cooke and A. J. Dennis), Battelle Press, Columbus, OH, 1981

1058 Fuel 1996 Volume 75 Number 9

Page 26: Agricultural Applications for Pine-Based BioChar

Influence of temperature on flash pyrolysis of biomass: P. A. Horne and P. T. Williams

41 42 43

44

45

Pakdel, H. and Roy. C. Energy Fuels 1991,5,421 Williams P. T. and Home, P. A. Fuel 199574, 1839 Maggi, E., Grange, R. and Delmon, P. In ‘Research in Thermo- chemical Biomass Conversion’ (Eds A. V. Bridgwater and J. L. Kuester), Elsevier Applied Science, London, 1988, pp. 896-910 Rupp, M. In ‘Biomass Pyrolysis Liquids Upgrading and Utiliza- tion’ (Eds A. V. Bridgwater and G. Grassi), Elsevier Applied Science, London, 1991, pp. 219-225 Bridgwater, A. V. In ‘Biomass Pyrolysis Liquids Upgrading and

46

47

48

Utilisation’ (Eds A. V. Bridgwater and G. Grassi), Elsevier Applied Science, London, 1991, pp. 1 l-92 Solantausta, Y., Nylund, N. O., Westerholm, M., Kolijonen, T. and Oasmaa, A. Bioresource Technol. 1993,46, 177 Franck, H. G. and Stadelhofer, J. W. ‘Industrial Aromatic Chemistry’, Springer-Verlag, Berlin, 1988 Stoikos, T. In ‘Biomass Pyrolysis Liquids Upgrading and Utilisation’ (Eds A. V. Bridgwater and G. Grassi), Elsevier Applied Science, London, 1991

Fuel 1996 Volume 75 Number 9 1059

Page 27: Agricultural Applications for Pine-Based BioChar

UTILIZATION OF BIOMASS PYROLYSIS FOR ENERGY PRODUCTION, SOIL FERTILITY AND CARBON SEQUESTRATION

ROBERT HAWKINS, JON NILSSON AND REBECCA OGLESBY (for authors correspondence, E-mail: [email protected])

Abstract. New pyrolysis technologies have been developed that allow for carbon sequestration through the production of sustainable energy from biomass (bioenergy). These systems produce charcoal (biochar) and energy in the form of heat, steam, electricity, or liquid fuels. Purified hydrogen can also be produced, allowing production of ammonia and future electric systems that utilize hydrogen (such as hydrogen fuel cells). Pyrolysis energy systems produce more power than they consume, and can supply their own power utilizing waste heat from the system. Therefore, this technology could be deployed without the need for existing energy infrastructure. The biochar is a carbon-based co-product that has value as a soil amendment, containing nutrients such as potassium (K), phosphorous (P), magnesium (Mg) and calcium (Ca). When placed in the soil, an increase in soil organic matter (SOM) is observed, along with increases in crop productivity, water retention, and soil biological activity as well as a decreased fertilizer requirement. Pyrolysis technology can be deployed on a large industrial scale, or on small farm or community scales. In these applications it can produce fuel, heat, electricity and fertilizer from crop residues and wastes. The deployment of new biochar and bio-energy systems creates economic opportunities for local communities through the creation of new businesses that develop to support its infrastructure (suppliers of bio-wastes, manufacturer and distribution of co-products, and related agricultural application services etc.). Due to its adaptability to a wide range of feedstocks, over 60 organizations are now involved in biochar research worldwide.

Figure 1. Concept of low-temperature pyrolysis bio-energy with biochar sequestration. Typically, about 50% of the pyrolyzed biomass is converted into biochar and can be returned to soil. (Adapted from: Lehmann, J. 2007, Bioenergy in the black. Front Ecol Environ 2007; 5(7): 381–387)

Transport Energy Coproducts Industry

Biomass - manure - organic wastes - crop residues - wood waste

Returned to soil as bio-char

Optionally, N2, NOX, SOX, CO2 can be added to increase C sink and nutrient content

Pyrolysis

Biofuel bio-oil hydrogen

Residual Heat

Page 28: Agricultural Applications for Pine-Based BioChar

Biomass Pyrolysis Technology

At the 2007 United Nations Commission on Sustainable Development, a new system of converting biomass to energy was presented which can reduce dependence on oil. This technology is called biomass pyrolysis. In this system, biomass is exposed to high temperatures in the absence of oxygen, producing energy and co-products. Although pyrolysis biofuel production represents only a small portion of energy production worldwide (UNDP 2004), it has the potential to generate electricity at a cost lower than any other biomass-to-electricity technology available (Bridgewater et. al. 2002). A main advantage to implementing this technology is that a pyrolysis system can supply its own power and heat by utilizing waste heat from the system, so there is no need to supply power or heat from outside sources (Iwasaki, 2003). Therefore, these systems can be deployed without the need for existing energy infrastructure. With these new advances, well over 15 countries are now involved in commercializing biomass pyrolysis systems (http://terrapreta.bioenergylists.org/company). A number of companies are working on making this technolgy more scaleable to agricultural industries with various sizes of pyrolysis units. With these new designs, it is estimated that a 1-ton of biomass per hour unit can produce 1 mw of electricity, 1 megawatt of usable heat and 600 pounds of charcoal per hour. A unit capable of processing 25kg of biomass is estimated to produce 25 kw of heat and electricity and 20 pounds of charcoal per hour.

The EPRIDA pyrolysis plant that operated at the Biomass Conversion Center in Athens, GA. until spring of 2009.

Biomass Pyrolysis vs. Conventional Biomass to Energy Systems

In conventional use of biomass for fuel, biomass is harvested and burned, and like fossil fuels, releases compounds back to the atmosphere. This contributes to increased greenhouse gases. In order for the energy cycle to be truly carbon neutral, an amount of biomass equal to that which was harvested must be re-grown so that the plants can absorb an equivalent amount of CO2. To be a steady fuel supply, biomass crops require an increase in agricultural production, which further depletes soil nutrients and minerals. This reduces the ability to grow biomass in the future. Therefore, although biomass crops are a renewable source of energy, they are not necessarily sustainable. With biomass pyrolysis, what was previously considered agricultural waste (crop residues, wood wastes, manures) can create energy and nutrient enhancing soil supplements. The energy created can be converted into several forms including hydrogen and electricity, which can be used to power small farms or fed back onto the energy grid. Examples of feedstocks include: coconut husks, corn stover, bean stubble, tobacco stalks, wastes from agricultural processing, wood wastes from manufacturing and lumber industries, demolition wood wastes,

Page 29: Agricultural Applications for Pine-Based BioChar

short-rotation energy crops, municipal solid waste, manure and sewage (Antal 1982). By using agricultural wastes, biomass pyrolysis does not compete with food production. The Products of Biomass Pyrolysis

The main products generated by biomass pyrolysis are pyrolysis vapors, heat and charcoal (biochar). These outputs can be used in a wide range of applications. 1. Pyrolysis vapors can be condensed to form bio-oil Bio-oil is a complex mixture of oxygenated hydrocarbons and water that can be used as low grade heating fuel. Due to its high density, bio-oil is much more economical to transport than either biomass or hydrogen (Czernik et al., 2007). The heating value of bio-oil is about 40% to 50% of that for petroleum-based fuels (Yaman, 2004) and about 60% of ethanol (Raveendran et al., 1996). Bio-oil can be refined to be used as a source of chemical feedstock for gasoline, can be added to petroleum refinery feedstock or combusted in raw form (Samolada et al., 1998). Biomass pyrolysis allows biomass to be processed at dispersed locations where wastes are generated and bio-oil can be transported to a central refinery or power plant. Cost benefits are significant due to the high price of transporting biomass feedstock over large distances (>30 km). Decentralized production of bio-oil also makes sense since biomass is often generated in rural areas where bio-oil can be processed for use in agricultural machinery. 2. Pyrolysis vapors can be used directly for energy In this scenario it is not necessary to condense pyrolysis vapors into bio-oil to extract the energy. Pyrolysis vapors can be burned directly as fuel for integrated heat and power production, or refined to produce fuels and chemicals such as gasoline, diesel, alcohols, olefins, oxychemicals, synthetic natural gas and high purity hydrogen (Magrini-Bair and others, 2007). If the energy is needed for local use, such as on a small farm, it is better to work with the pyrolysis vapors in this form. 3. Pyrolysis vapors can be treated to produce synthetic gas (syngas) Utilizing steam reforming, pyrolysis vapors can produce a syngas consisting of over 50% hydrogen, plus CO, CO2, and small amounts of methane (Czernik et al., 2007). Since these gases are comprised of hydrocarbons, they should not be emitted into the atmosphere in an unaltered state. Instead they can be converted into a clean burning, mid BTU fuel, similar to natural gas. This can be combusted in existing engines, generators, boilers, and turbines to produce heat, steam and electricity. Syngas is also suitable as a cooking fuel and can substitute for propane or natural gas in uses such as home heating. High purity hydrogen from syngas can be suitable for use in hydrogen engines, fuel cells (Czernik et al., 2007) and for production of ammonia fertilizers. The current largest use of hydrogen in the world today is for the production of ammonia. Utilizing pyrolysis to generate hydrogen could replace natural gas as the primary feedstock required to manufacture ammonia based fertilizers. The production of ammonia using natural gas emits carbon dioxide into the atmosphere and fixes the price of fertilizer to the price of natural gas. Production of ammonia from syngas could change this, allowing the price of fertilizer to become influenced by the lower price of biomass wastes. 4. Pyrolysis syngas can create synthetic liquid fuels Pyrolysis of biomass is one of the leading near-term options for renewable production of hydrogen and has the potential to provide a significant fraction of transportation fuel required in the future (Czernik et al., 2007). This can be achieved by use of hydrogen fuel cell vehicles or hydrogen powered combustion engines. Pyrolysis syngas can be used to produce transportation fuels that work with current infrastructures and technologies. Hydrogen and carbon monoxide, main components of the pyrolysis syngas, are the reactants necessary to produce liquid fuels (methanol, ethanol, gasoline, aviation fuel and diesel fuel) via Fischer-Tropsch (F-T) synthesis. F-T synthesis is regarded as the key technological component for converting syngas to transportation fuels and other liquid products (Wilhelm and others, 2001). F-T diesel is not bio-diesel. FT diesel is a clear liquid that gives complete combustion with no particulate emissions and has a higher energy density that petroleum diesel and biodiesel. F-T diesel can be used in all existing diesel engines and can be

Page 30: Agricultural Applications for Pine-Based BioChar

mixed without a maximum mixture level with petroleum diesel (Wilhelm and others 2001). For instance Audi won the “24 Hours at LeMans” sports car race with F-T diesel. Currently, F-T fuels are produced from syngas originating from natural gas and coal. Biomass syngas can replace fossil fuels as the primary feedstock. 5. Pyrolysis vapors can produce non-energy products Pyrolysis vapors can also be used to produce a number of co-products such as wood preservative, meat browning, food flavorings, adhesives, or specific chemical compounds (Czernik, 2004). Liquid smoke, the chemical used to add smoke flavor to foods, is currently produced by pyrolysis of mesquite and other hardwoods. In local agricultural applications these vapors can be condensed and used as insecticides, herbicides, and fungicides (Steiner, 2007). The bio-oil by product from these processes can be refined as a source of chemical feedstocks to yield products such as acetic acid (vinegar).

6. Biomass pyrolysis can create valuable soil amendments One of the most exciting new benefits of biomass pyrolysis is its ability to produce valuable soil amendments in the form of charcoal (biochar). Biochar is currently used in Japan and in other parts of the world by indigenous tribes. Recent archeological exploration has found that indigenous peoples of the Amazon used charcoal to enrich their soil over 1,000 years ago. This was due to the discovery of a black colored soil in the Amazon basin of Brazil termed Terra Preta. It is believed that prior to the arrival of Europeans, the charcoal in these soils was added by native Amazonians to create arable farmland (Lehmann et al., 2006). Phosphorus (P) and calcium (Ca) are normally scarce in the very acidic Oxisols and Utisols that are predominant in this region. In contrast, Terra Preta soils contain higher levels of P and Ca with a higher, almost neutral pH (Glaser et al., 1998). Another distinctive feature of Terra Preta soil is the high stability of its soil organic matter (SOM), and high cation exchange capacity (Sombroek, 2003), all factors that improve soil fertility.

Figure 2. Co-products from Biomass Pyrolysis (Olglesby, Hawkins, 2007)

Page 31: Agricultural Applications for Pine-Based BioChar

The use of charcoal as a soil amendment is not limited to ancient civilizations such as the ones that created Terra Preta. New research has shown that biochar is more efficient at increasing soil fertility and nutrient retention than un-charred organic matter (Lehmann et al., 2006). Carbon enhanced SOM offers direct value through improved water infiltration, water holding capacity, structural stability, cation exchange capacity, soil biological activity and as a CO2 sink (Lehmann, 2007). Charcoal can also reduce fertilizer runoff and adsorb ammonium ions.

The use of biochar has recently been authorized for use as a soil amendment in Japan. Of all of the charcoal used in Japan in 1999, the highest percentage of use was in agricultural land as a soil amendment.

The second highest use was in the livestock industry where it used for animal feed and deodorization (Okimori et al.,2003). In the U.S. a system has been developed where biochar can be amended with ammonium bicarbonate producing a valuable carbon based fertilizer called ECOSS (Day and others, 2005). Other benefits of biochar include its ability to: adsorb soil-damaging pesticides and neutralize natural toxins in decomposing organic materials (Yelverton and others, 1996), and increase soil organic content (Blanco-Canqui et al., 2004). On farm trials in the U.S., a 20% increase in corn yield and a 520% in mycorrhizal populations (beneficial soil fungi that plants depend on) was observed where carbon based soil amendments were applied at 7-9 pounds per acre. In two years of trials at the Virginia Polytechnic Institute, a similar product achieved a 10% increase in sweet corn yield, a 30-pound per acre savings in nitrogen for Irish potatoes and a 47% increase in tomato yield (Morse, R and P. Stevens, 2006,-2008). Observations in the field also verified reduced need for irrigation where carbon based amendments were applied ( http://www.carbonchar.com/). Under proper conditions, scientists have also shown that when added to soil, biochar has the potential to increase soil carbon sequestration by as much as 400%. This is due to its beneficial effects on soil microorganisms, which convert soluble organic matter into stable organic compounds (Day, Reicosky, Nichols 2005). 7. Biomass pyrolysis can be used to sequester atmospheric carbon dioxide Charcoal is commonly used for heating and cooking, and in many developing countries is the only available fuel. In traditional methods of charcoal manufacturing all the valuable chemicals (tars, oils and smoke) and heat escape into the atmosphere. While biomass pyrolysis can provide fuel for heating and cooking, it is vastly different than the smoking kilns and barrels that are currently used throughout the world. Pyrolysis systems that produce biochar and energy do not produce pollution, contaminate water supplies, or create waste disposal problems. To ensure that systems producing biochar are clean and do not contribute to green house gas (GHG) pollution, an organization called the International Biochar Initiative has formed and is setting standards for this product (http://www.biochar-international.org/home.html). Biomass pyrolysis can sequester up to 50% of the initial carbon (C) input and return it to the soil. The initial loss of C can be used for energy production and can offset fuel use (Figure 1.). This contrasts greatly with burning of biomass, which sequesters 3% of the initial C as charcoal, with the rest being emitted to the atmosphere, or biological decomposition which retains only 10 –20% of initial C after 5 – 10 years (Lehmann et al., 2006). Therefore, with its ability to capture and store carbon in the soil, biomass pyrolysis can deliver tradable carbon emission reductions (Lehmann, et.al. 2006). Controlled pyrolysis has recently been approved by the United Nations Framework Convention on Climate Change as a Clean Development Mechanism (CDM) for avoidance of methane production from biomass decay. (http://cdm.unfccc.int/UserManagement/FileStorage/CDMWF_AM_C7UWTIEMRJ05M3D02XWDW80JN989IP).

Figure 3: LETS FIND A NEW PHOTO

Page 32: Agricultural Applications for Pine-Based BioChar

In a CDM feasibility study on pyrolysis at an industrial tree plantation, it was calculated that annual processing of 368,000 tons of biomass would provide emissions reductions of 230,000 tons of CO2 per year and could provide jobs for approximately 2,600 people (Okimori, 2003). The latest figures published by the World Bank indicate that the carbon market grew in value to an estimated US$30 billion in 2006 (€23 billion), three times greater than the previous year. As of November 2007, over 850 carbon-offset projects have been registered worldwide with about seven percent of them in the area of biomass fuels (UNEP 2008 Yearbook). One of the first machines for offsetting CO2 emission has been in use in Senegal in the Saint-Louis region since the end of 2007 . In partnership with Areva, the technology was transferred to South Africa to the Necsa Company who has a production license for the southern cone of Africa. The calculation evaluating carbon credits generated by this machine result in: 11.6 tons of CO2-equivalent per ton of green charcoal. Air France, through the intermediary Action Carbone of GoodPlanet, is now giving its passengers the option to compensate their CO2 emissions with carbon credits generated primarily by the Pro-Natura green charcoal project in Senegal. (http://www.pronatura.org/index.php?lang=en&page=greenchar#greenchar2) 7. Carbon from biomass pyrolysis can be used in a wide range of non-soil applications In addition to use for soil applications, biomass carbon can also be considered for more traditional applications. The applications for carbon and its compounds are so widespread that it would be impossible to adequately describe them in a single article. Some common examples include: carbon black as a pigment for printing ink, carbon paper, printer toner, a filler in plastics and rubber, graphite as a lubricant and molding material in glass manufacture, in electrodes for dry batteries, in electroplating, in brushes for electrical motors and as a neutron moderator in nuclear reactors. Activated carbon is used in medicine to absorb toxins, poisons or gases from the digestive system and in air and water purification. Due to the fact the fact that carbon can form alloys with iron, it can also be used in steel production, in chemical reduction, case hardening, and in carbides for cutting and grinding tools. One company that has been evaluating biochar for both soil and conventional use has found that it can become a precursor for a wide range of carbon based products (http://c6scientific.com). Another use for biochar that can achieve carbon emission reduction credits under the Kyoto protocol is its use as a replacement for coal in power generation. Biochar can be used as a direct replacement for coal without the need to modify the existing powerplant. All of the CO2 that is released as a result of replacing fossil fuels with biochar counts toward carbon emission reductions and can be traded in the carbon exchange markets. As pyrolysis systems become more readily available, it is important that system managers take advantage of the full range of applications and markets that may be achieved.

Conclusions Biomass fuels such as wood, herbaceous materials and agricultural by-products currently form the world’s third largest primary energy resource, behind coal and oil. At best, conventional biomass to energy is considered to be carbon neutral. Harvesting biomass to produce energy may not be sustainable because it can result in reduced soil productivity by depletion of carbon and nutrients. Biomass pyrolysis addresses this dilemma, because it can utilize waste products and about half of the original carbon can be returned to the soil (Lehmann, 2007). Utilizing biomass pyrolysis for the production of fuels also has significant advantages when compared to coal fuels because it can eliminate the need for post combustion scrubbing and can reduce nitric oxide (NOx) formation (Bisio et al., 1995). In fact such energy is actually CARBON NEGATIVE, because for each carbon molecule recycled back to the atmosphere, one is buried in the soil, so the net effect is to reduce atmospheric CO2! The deployment of biomass pyrolysis systems can create new local businesses, job opportunities and raise the income of people in rural communities (Okimori et al., 2003). Farming communities can benefit most from this system because the biochar co-product can reduce or eliminate purchased fertilizers while sequestering atmospheric CO2 (Glaser and others., 2002). This can create new profit centers for landowners by creating carbon credits and energy, which farmers can use or sell. This can decentralize fertilizer and energy distribution,

Page 33: Agricultural Applications for Pine-Based BioChar

making resources more available to farmers. It can reduce agricultural dependence on petroleum and natural gas based products by allowing regional energy production that is cost competitive with fossil fuels. Although biomass pyrolysis represents only a small portion of energy production worldwide it has the potential to generate energy at a lower cost than other energy systems. With its carbon negative footprint, biomass pyrolysis has the ability to do this in a way that can contribute to reduction in greenhouse gas emissions. Given that 1) soil organic carbon is one of the largest reservoirs in interaction with the atmosphere and 2) enhancing natural processes is thought to be the most cost-effective means of reducing atmospheric CO2; biomass pyrolysis provides a way forward toward overcoming the obstacles that are facing biofuels production today. In the words of USDA Soil Scientist, David Laird, we now have “A Win–Win–Win Scenario for Simultaneously Producing Bioenergy, Permanently Sequestering Carbon, while Improving Soil and Water Quality” (Laird, 2008). References (A complete list of the references shown in this paper is available from: http://c6scientific.com). Antal, Michael (1982). Biomass Pyrolysis: A Review of the Literature Part 1- Carbohydrate Pyrolysis. K.W Boer, J.A. Duffie (ed.) Advances in Solar Energy: An annual review of Research and Development Vol 1 American Solar Energy Society, Inc. NY 61-111.

Bisio, Attilio and Sharon Boots (1995) Encyclopedia of Energy Technology and the Environment Vol 3 John Wiley & Sons, Inc, New York, NY 2281-2310.

Blanco-Canqui, H. and Rattan Lal (2004). Mechanisms of carbon sequestration in soil aggregates. Critical Reviews in Plant Sciences 23(6): 481-504.

Czernik, Stefan, Robert Evans, Richard French (2007). Hydrogen from biomass-production by steam reforming of biomass pyrolysis oil. Catalysis Today 129: 265-268.

Czernik, Stefan, A.V. Bridgewater (2004). Overview of Application of Biomass Fast Pyrolysis Oil. Energy Fuels 18: 590-598

Day, Danny, R.J. Evans, J.W. Lee, D. Reicosky (2005). Economical CO2, SOx, and NOx Capture from Fossil-fuel Utilization with Combined Renewable Hydrogen Production and Large-scale Carbon Sequestration. Energy 30: 2558-2579.

Day D, D Reicosky, K Nichols (2005). Internal report to U.S. Office of Management & Budget.

Glaser, Bruno, Ludwig Haumaier, Georg Guggenberger, Wolfgang Zech (1998). Stability of soil organic matter in Terra Preta soils. 16th World Congress of Soil Science, Montpellier, 20-26/08/1998, Proceedings on CD-ROM.

Glaser, Bruno, Johannes Lehmann, Christoph Steiner, Thomas Nehls, Muhammad Yousaf, and Wolfgang Zech (2002). Potential of Pyrolyzed Organic Matter in Soil Amelioration. 12th ISCO Conference: 421-427.

Iwasaki, W. (2003). A Consideration of the Economic Efficiency of Hydrogen Production from Biomass. International Journal of Hydrogen Energy 28: 939-944.

Laird, D.A. (2008) The Charcoal Vision: A Win–Win–Win Scenario for Simultaneously Producing Bioenergy, Permanently Sequestering Carbon, while Improving Soil and Water Quality. Agronomy Journal: 100(1) 178-181

Lehmann, Johannes, John Gaunt, Marco Rondon (2006). Bio-Char Sequestration in Terrestrial Ecosystems. Mititagtion and Adaptation Strategies for Global Change 11: 403-427.

Lehmann, Johannes (2007). Bio-energy in the black. Frontiers in Ecology and in the Environment 5: 381–387.

Magrini-Bair, K., S. Czernik, R. French, Y.O. Parent, E. Chornet, D.C. Dayton, C. Feik, R. Bain (2007). Fluidizable reforming catalyst development for conditioning biomass-derived syngas. Applied Catalysis A: General 318: 199-206.

Page 34: Agricultural Applications for Pine-Based BioChar

Okimori, Y, Makoto Ogawa, F. Takahashi (2003). Potential of CO2 Emission Reductions by Carbonizing Biomass Waste from Industrial Tree Plantation in South Sumatra, Indonesia. Mitigation and Adaptation Strategies for Global Change 8: 261-280.

Raveendran, K. and Anuradda Ganesh (1996). Heating value of biomass and biomass pyrolysis products. Fuel 75: 1715-1720.

Samolada, M.C., W. Baldauf, and I. A. Vasalos (1998). Production of a bio-gasoline by upgrading biomass flash pyrolysis liquids via hydrogen processing and catalytic cracking. Fuel 77: 1667 – 1675.

Sombroek, W., M L Ruivo, P M Fearnside, B Glaser, and J Lehmann (2003). ‘Amazonian Dark Earths as carbon stores and sinks’, in J. Lehmann, D.C. Kern, B. Glaser and W.I. Woods eds., Amazonian Dark Earths: Origin, Properties, Management, Dordrecht, KluwerAcademic Publishers. 125–139

Steiner, Christoph, K.C. Das, M. Garcia, B Forster, and Wolfgang Zech (2007). Charcoal and smoke extract stimulate the soil microbial community in a highly weathered Xanthic Ferralsol. Pedobiologia In press.

UNDP: (2004). World Energy Assessment; ed. J. Goldemberg and T. B. Johansson, New York, NY, UNDP

UNEP Website: (United Nations Environment Program) (2008) UNEP Launches Year Book 2008 at its 10th Special Session of the Governing Council/Global Ministerial Environment Forum in Monaco (Monaco, 20 February 2008 )

Wilhelm, D.J., D.R. Simbeck, A.D. Karp, R.L. Dickenson (2001). Syngas production for gas-to-liquids applications: technologies, issues and outlook. Fuel Processing Technology 71: 139-148.

Yaman, Serdar (2004). Pyrolysis of biomass to produce fuels and chemical feedstocks. Energy Conversion and Management 45: 651-671.

Yelverton, F.H, Jerome B Weber, G. Peedin, W. D. Smith (1996). Using activated charcoal to inactivate agricultural chemical spills. North Carolina Cooperative Extension Service Pub. AG-442 1-4.

Page 35: Agricultural Applications for Pine-Based BioChar

Soil Science and Plant Nutrition (2007) 53, 181–188 doi: 10.1111/j.1747-0765.2007.00123.x

© 2007 Japanese Society of Soil Science and Plant Nutrition

Blackwell Publishing, Ltd.ORIGINAL ARTICLEEffect of charcoal on N2O emissionsORIGINAL ARTICLE

Effects of charcoal addition on N2O emissions from soil resulting from rewetting air-dried soil in short-term laboratory experiments

Yosuke YANAI1, Koki TOYOTA2 and Masanori OKAZAKI2

1Graduate School of Bio-Applications and Systems Engineering and 2Institute of Symbiotic Science and Technology, Tokyo University of Agriculture and Technology, Tokyo 184-8588, Japan

Abstract

Laboratory experiments were conducted to examine the effect of charcoal addition on N2O emissionsresulting from rewetting of air-dried soil. Rewetting the soil at 73% and 83% of the water-filled pore space(WFPS) caused a N2O emission peak 6 h after the rewetting, and the cumulative N2O emissions throughoutthe 120-h incubation period were 11 ± 1 and 13 ± 1 mg N m−2, respectively. However, rewetting at 64%WFPS did not cause detectable N2O emissions (−0.016 ± 0.082 mg N m−2), suggesting a severe sensitivity tosoil moisture. When the soils were rewetted at 73% and 78% WFPS, the addition of charcoal to soil at10 wt% supressed the N2O emissions by 89% . In contrast, the addition of the ash from the charcoal did notsuppress the N2O emissions from soil rewetted at 73% WFPS. The addition of charcoal also significantlystimulated the N2O emissions from soil rewetted at 83% WFPS compared with the soil without charcoaladdition (P < 0.01). Moreover, the addition of KCl and K2SO4 did not show a clear difference in the N2Oemission pattern, although Cl− and , which were the major anions in the charcoal, had differenteffects on N2O-reducing activity. These results indicate that the suppression of N2O emissions by theaddition of charcoal may not result in stimulation of the N2O-reducing activity in the soil because ofchanges in soil chemical properties.

Key words: denitrification, K fertilization, liming, N2O-reducing activity, rewetting effect.

INTRODUCTION

N2O is an important greenhouse gas produced in soil(Bouwman 1990). It has a destructive potential in thestratospheric ozone layer (Crutzen 1981). Nitrificationand denitrification are the most important biologicalprocesses in the production of N2O in soil. Denitrificationis identically the sole process associated with N2Oreduction (Zumft 1997).

In a previous study, we examined the effects of soilamendments (liming material, inorganic salts andcharcoal) on the N2O-reducing activity of denitrifyingcommunities (Yanai et al.). We found that charcoal andits ash, which had a high content of alkali and inorganicsalts (Nerome et al. 2005), seemed to promote the growthactivity and N2O-reducing activity of denitrifying

communities and that liming and anions affected theseactivities more than cations. These results suggestthat N2O emissions from soil can be affected by certainsoil amendments because of the modifying activity ofN2O reduction, assuming that N2O emissions from soilthrough denitrification depend on the balance of theN2O-producing and N2O-reducing activity of denitrify-ing communities (Cavigelli and Robertson 2001). Infact, Inubushi et al. (1999) and Azam and Müller(2003) observed stimulation of N2O emissions from soilby the addition of NaCl in a laboratory incubationstudy, and this result can be explained by the suppressionof N2O-reducing activity by Cl− or Na+ (Yanai et al.). Incontrast, the effects of liming on N2O emissions fromsoil are inconsistent in field studies (Borken and Brumme1997; Butterbach-Bahl et al. 1997; Klemedtsson et al.1997; Mosier et al. 1998; Tokuda and Hayatsu 2004;Wang et al. 1997) and in laboratory incubation studies(Borken et al. 2000; Clough et al. 2003; Clough et al.2004; Khalil et al. 2003).

Pulses of N2O emission have been observed in fieldstudies following irrigation and precipitation events

SO42−

Correspondence: Y. YANAI, BASE 415, 2-24-16, Nakacho,Koganeishi, Tokyo 184-8588, Japan. Email: [email protected] 31 July 2006. Accepted for publication 15 December 2006.

Page 36: Agricultural Applications for Pine-Based BioChar

182 Y. Yanai et al.

© 2007 Japanese Society of Soil Science and Plant Nutrition

(e.g. Kusa et al. 2006; Ruser et al. 2001) and have beenreproduced in laboratory incubation experiments as arewetting of dry soil (Rudaz et al. 1991). Rudaz et al.(1991) and Ruser et al. (2006) investigated the contri-bution of nitrification and denitrification to the produc-tion of N2O emitted after rewetting using the C2H2

addition method and 15N tracing technique, respectively,and concluded that the N2O was mainly producedthrough denitrification. In the present study, to examinethe relationship between enhancing the N2O-reducingactivity of denitrifying communities and N2O emissionsfrom soil, we examined the effects of charcoal andanion species on N2O emissions caused by the rewettingof air-dried soil in the laboratory.

MATERIALS AND METHODS

Soil samples and charcoalThe soil samples examined were the same as those usedin our previous study (Yanai et al.). Soil sampling wasconducted at the Field Museum Tsukui, the FieldScience Center of Tokyo University of Agriculture andTechnology, Tokyo, Japan. Soil samples were collectedfrom a grassland field in which one side was plantedwith Sorghum bicolor (L.) Moench and the other withSorghum sudanense (Piper) on April 2004 and March2005, respectively. The soil is classified as TypicHapludand, and the soil texture is loam to clay loam ata depth of 0–40 cm, with a granular structure (Kurokawa,pers. comm.). After collection, moist soil samples werepassed through a 2-mm mesh sieve, and part of thesample was then air-dried. Selected physico-chemicalproperties of the soil samples are listed in Table 1. Soil

pH (H2O) value was determined in a 1:2.5 air-dried soil(weight) to deionized water (volume) ratio. Total carbonand nitrogen contents of the soils were determinedusing the dry combustion method using a CN CORDERMT-700 (Yanaco, Kyoto, Japan). Water soluble organic Cand -N contents were determined using a TOCmeter (TOC-VCSH, SHIMADZU Co. Ltd., Kyoto, Japan)and an ion chromatograph (LC-20AT, SHIMADZU Co.Ltd., Kyoto, Japan), respectively, in 1:10 extracts (air-driedsoil to deionized water w/v) at 240 rpm for 30 min. Thepopulation density of denitrifiers in the air-dried soilsamples was determined using the most probable numbermethod in five replicates of 10-fold serial dilution (Tiedje1994). Maximum water-holding capacity (MWHC) wasdetermined using the Hilgard method. Particle densitywas determined using the pycnometer method (Blakeand Hartge 1986). Water-filled pore space (WFPS) wascalculated as follows:

WFPS = (Gravimetric water content/ρH2O) · (Bulk density/Porosity)

where Porosity = 1 − (Bulk density/Particle density). In thepresent study, we set the density of water (ρH2O) at 1 g cm−3.

The charcoal, which was made from municipal biowaste,was provided by JFE Holdings. The physico-chemicalproperties of the charcoal are listed in Yanai et al. andits potential usefulness for cultivation was demonstratedby Nerome et al. (2005). Some selected physico-chemicalproperties of the charcoal and its ash, which was obtainedby heating at 700°C for 4 h (as the test of weight loss-on-ignition; LOI), are listed in Table 2. Charcoal and ashpH (H2O) values were determined in a 1:5 air-driedmaterial to deionized water ratio (w/v). The MWHC andparticle density were determined as described above. Anion

Table 1 Selected physico-chemical properties of the air-dried soils examined in this study (oven-dry basis)

Abbreviation of soil name

Date of sampling

pH (H2O)

Total C Total N C/N ratio

WSOC -N Denitrifiers Water

content MWHC Bulk

density Specific gravity Porosity

(mg C g−1) (mg N g−1) (µg g−1) (log MPN g−1) (g H2O g−1) (g cm−3) (cm3 cm−3)

TG2004 Apr. 2004 6.0 69.6 5.62 12.4 155 45.8 6.5 0.15 1.21 0.58 2.05 0.72TG2005 Mar. 2005 5.4 70.3 5.45 12.9 74 6.4 6.2 0.13 1.11 0.59 2.03 0.71

MPN, most probable number; MWHC, maximum water-holding capacity; WSOC, water soluble organic carbon.

NO3−

NO3−

Table 2 Selected physico-chemical properties of charcoal and its ash examined in this study

pH (H2O)†

LOI (%)

Water content

(g H2O g−1)MWHC

(g H2O g−1)

Bulk density (g cm−3)

Particle density (g cm−3)

Anion content (µmol g−1)‡

Cl−

Charcoal 9.3 38 0.14 1.38 0.50 1.64 510 0 9Ash 11.6 – 0.03 – 0.46 – 1240 2 80

†1:5 ratio. ‡Air-dried material basis in Yanai et al. LOI, weight loss-on-ignition; MWHC, maximum water-holding capacity; –, not determined.

NO3− SO4

2−

Page 37: Agricultural Applications for Pine-Based BioChar

Effect of charcoal on N2O emissions 183

© 2007 Japanese Society of Soil Science and Plant Nutrition

contents (Cl−, and ) in these materials weredetermined using an ion chromatograph (LC-20AT,SHIMADZU Co. Ltd. Kyoto, Japan) in 1:20 extracts(air-dried material to deionized water w/v) at 240 rpmfor 30 min.

Measurement of N2O emissions from soil after rewettingTo simulate the thin surface layer in arable fields, wherethe soil could be subjected to air-drying followingcontinuous clear weather, 30 g of sieved air-dried soilwas placed in a Petri dish (1.3 cm height and 8.5 cmdiameter) without compaction. As a result, the thicknessof the soil was approximately 0.8 cm. To simulate thecondition of the soil during or immediately after precip-itation, distilled water was added into the soil samplesin the Petri dishes to more than 70% of their MWHC(equivalent to 64% of the water-filled pore space [WFPS]).Immediately after rewetting the soil sample, N2Oemissions were periodically measured using the closed-chamber method (Hutchinson and Mosier 1981). Aclear glass bell-jar (14 cm width, 26 cm height, 2.32 L)was used as a gas-tight chamber to monitor the concen-tration change in the headspace gas. The inlet and outletof the bell-jar were sealed with a rubber stopper and arubber septum, respectively, and the bottom part of thebell-jar was tightly attached with a ground glass-plateusing a high vacuum-sealing compound (HIVAC-G,Shin-Etsu Chemical Co. Ltd., Tokyo, Japan). A pressure-controlling bent (Hutchinson and Mosier 1981) wasinstalled at the rubber stopper in the inlet and gas sampleswere collected through the rubber septum installed at theoutlet. After placing the chamber onto the soil sample,headspace gas was withdrawn five times at 2 or 8 minintervals, depending on the rate of concentration change.N2O concentration in the collected gas sample was analyzedusing a gas chromatograph (GC-14A, SHIMADZU,Kyoto, Japan) equipped with an electron capture detectorand a stainless steel column packed with Porapak-Q (80/100 mesh, 3 mm diameter, 2 m length). The column anddetector temperatures were kept at 90°C and 330°C,respectively. Argon containing 5% CH4 was used as acarrier gas at a flow rate of 23 mL min−1. The N2O emis-sion rate was calculated using the linear regression method(Hutchinson and Mosier 1981). After measurement ofthe N2O emission rate, the chamber was removed and thesoil sample was left at room temperature (approximately20–28°C) without a lid on the Petri dish. The watercontent was maintained during the incubation periodby adding distilled water. N2O emissions were monitoreduntil the first peak of N2O emissions disappeared.

As a preliminary experiment, we examined the effectof moisture content after rewetting on the N2O emissionsfrom soil (TG2005). Distilled water was added into the

soil samples at 17.0, 19.9 and 23.1 mL to adjust therewetted condition to 70, 80 and 91% MWHC, equivalentto 64, 73 and 83% WFPS, respectively. This experimentwas conducted in triplicate.

Effect of soil amendments on N2O emissions from soil resulting from rewettingBased on the result of the preliminary experiment (Fig. 1),the moisture content after rewetting was adjusted tomore than 73% WFPS in this study. First, to simulateprecipitation in grassland amended with charcoal in thesurface layer, 2 mm-sieved charcoal was mixed withsoil (TG2004) in three of six Petri dishes at 10 wt%(equivalent to 13 vol%) before rewetting, and the N2Oemissions were compared with the remaining three Petridishes as the non-added control. The soil samples wereadded with distilled water to moisten the soil of thenon-added control at 78% WFPS. Second, to test whetherthe effect of the charcoal addition on the N2O emissionresults from the stimulation of N2O-reducing activity bypH increase, the charcoal or its ash was mixed with soil(TG2005) in three of nine Petri dishes before rewetting,and three Petri dishes as the non-added control. Theamounts of added charcoal and its ash were determinedin order to set soil pH (H2O) at 6.0, and the rate ofaddition was 8.2 and 1.6 wt%, equivalent to 9.7 and2.0 vol%, respectively. The soil samples were rewettedby adding distilled water, which was necessary to

NO3− SO4

2−

Figure 1 Effect of rewetting on N2O emissions from soil(TG2005). An air-dried soil sample was rewetted usingdistilled water at 64 (×), 73 (�) and 83% (�) of the water-filledpore space (WFPS) and incubated at room temperature. Thevalues shown are the mean ± standard deviation of three replicates.The cumulative N2O emissions during the 120-h incubationperiod at a rewetting level of 64, 73 and 83% WFPS were−0.016 ± 0.082, 11 ± 1 and 13 ± 1 mg N m−2 (equivalent to−0.003 ± 0.03, 2.3 ± 0.3 and 2.8 ± 0.4 µg N g−1soil), respectively.

Page 38: Agricultural Applications for Pine-Based BioChar

184 Y. Yanai et al.

© 2007 Japanese Society of Soil Science and Plant Nutrition

moisten the soil of the non-added control at 73% WFPS.Third, to estimate the interaction between the rate ofcharcoal addition and the moisture content after rewet-ting, N2O emissions were compared with three levels ofcharcoal additions (0, 2 and 8.2 wt%, equivalent to 0,2.4 and 9.7 vol%, respectively) in triplicate. Distilledwater was added to the soil samples to moisten the soilof the non-added control (0% charcoal) at 83% WFPS.Finally, as Cl− and were not only the major anionspecies of the charcoal (Table 2), but also were appliedinto arable fields through fertilization, we examined theeffect of anion species of K solution on N2O emissionsafter rewetting. Of the nine Petri dishes containing thesoil samples (TG2005), distilled water, 10 mmol L−1 KCland 5 mmol L−1 K2SO4 solution were each added to threedishes to adjust to 73% WFPS of the soil, and the N2Oemissions were compared. The concentration of K solutionwas decided based on the concentration of K in a commer-cial liquid fertilizer (Otsuka Chemical Co. Ltd., Osaka,Japan), and the estimated load of Cl− and added withthe charcoal, ash and K solution is listed in Table 3.

Calculation of the cumulative N2O emission and statistical analysisThe cumulative N2O emissions were estimated using thelinear trapezoidal method, and the value was expressedas an arithmetic mean and standard deviation (SD). Thelevel of significance of the treatments was examinedusing an unpaired t-test for TG2004 and by anovafollowed by Tukey’s multiple comparison tests forTG2005 (P < 0.05). If one of the mean values of the tri-plicates appeared to lose normality (mean − 2SD < 0),the original data were log-transformed before compari-son (Bland and Peacock 2002).

RESULTS

N2O emissions from soil after rewettingN2O emissions were not detected after rewetting at 64%WFPS, but were detected after rewetting at 73% and

83% WFPS, and the cumulative N2O emissions throughoutthe 120-h incubation period at room temperaturewere −0.016 ± 0.082, 11 ± 1 and 13 ± 1 mg N2O-N m−2

(−0.003 ± 0.03, 2.3 ± 0.3 and 2.8 ± 0.4 µg N2O-N g−1soil),respectively (Fig. 1). Rewetting over 73% WFPS triggeredN2O emissions, but there were no significant differencesin the cumulative N2O emissions between soils rewettedat 73% and 83% WFPS (P = 0.180).

Effects of charcoal addition on N2O emissions after rewetting at 73% WFPS for TG2004The highest N2O emission rate was observed 30 hafter rewetting, and the values were 2620 ± 460 and383 ± 74 µg N m−2 h−1 in the treatments without and withcharcoal addition, respectively (Fig. 2). The addition of

SO42−

SO42−

Table 3 Estimation of Cl− and load onto soil (TG2005) by the addition of charcoal, ash and K solution

Application rate orconcentration

Added into soil(µmol g−1 soil)

Concentration in soil solution (mmol L−1) at

73% WFPS 83% WFPS

Cl– Cl− Cl−

Charcoal 2 wt% 10 0.2 NA NA 10 0.2Charcoal 8.2 wt% 42 0.7 46 0.8 40 0.7Ash 1.6 wt% 20 1.3 23 1.5 NA NAKCl 10 mmol L−1 7.5 0 8.5 0 NA NAK2SO4 5 mmol L−1 0 3.7 0 4.3 NA NA

NA, not applicable with respect to the objectives of this study; WFPS, water-filled pore space.

SO42−

SO42− SO4

2− SO42−

Figure 2 Effect of charcoal addition on N2O emissions fromsoil (TG2004) rewetted at 78% of the water-filled pore spaceof the soil. The values shown are the mean ± standarddeviation of three replicates. The cumulative N2O emis-sions during the 168-h incubation period for the non-addedcontrol and the 10 wt% charcoal addition were 105 ± 14and 11.1 ± 2.4 mg N m−2 (equivalent to 19.9 ± 2.7 and2.1 ± 0.5 µg N g−1 soil), respectively.

Page 39: Agricultural Applications for Pine-Based BioChar

Effect of charcoal on N2O emissions 185

© 2007 Japanese Society of Soil Science and Plant Nutrition

charcoal decreased the N2O emission peak by 85% ofthat of the control without charcoal. The cumulativeN2O emissions were 105 ± 14 and 11.1 ± 2.4 mg N m−2

(19.9 ± 2.7 and 2.1 ± 0.5 µg N g−1 soil) in the treatmentswithout and with charcoal addition, respectively. Thecharcoal addition significantly decreased N2O emissionsby 89% of the control value without charcoal (P < 0.01).

Effects of liming (pH 6.0) with charcoal and its ash on N2O emissions after rewetting at 73% WFPS for TG2005The highest N2O emission rate was observed at 12 hafter rewetting in the non-added control and the ash-added soil (Fig. 3), but N2O emissions were kept at alow level in the charcoal-added soil throughout theobservation period (72 h). The cumulative N2Oemissions throughout the 72-h incubation period in thenon-added control, ash-added and charcoal-added soilswere 4.1 ± 1.9, 4.3 ± 1.2 and 0.8 ± 0.7 mg N m−2 (0.9 ± 0.4,1.0 ± 0.3 and 0.2 ± 0.2 µg N g−1 soil), respectively.Charcoal addition decreased N2O emissions by 80% ofthe value of the non-added control (P < 0.05), whereasash addition did not.

Effects of charcoal addition on N2O emissions after rewetting at 83% WFPS for TG2005The N2O emission rate at 6 h after rewetting was lowerin the 2 and 8.2 wt% charcoal added-soils than in the

non-added control, while the N2O emission rate morethan 12 h after the rewetting was higher in the 2 and8.2 wt% charcoal added-soil than in the non-addedcontrol (Fig. 4). The cumulative N2O emissions throughoutthe 72-h incubation period in the non-added control,and in the 2 and 8.2 wt% charcoal-added soil were6.8 ± 0.9, 10.0 ± 0.8 and 10.3 ± 0.6 mg N m−2 (1.5 ± 0.2,2.2 ± 0.2 and 2.4 ± 0.1 µg N g−1soil), respectively. Theaddition of charcoal at 2 and 8.2 wt% significantlyincreased N2O emissions by 47% and 51% of the valuesof the non-added control, respectively (P < 0.01).

Effects of KCl and K2SO4 on N2O emissions after rewetting at 73% WFPS for TG2005The highest N2O emission rate was observed 12 h afterrewetting (Fig. 5). The mean N2O emission rate washigher in 10 mmol L−1 KCl than in 5 mmol L−1 K2SO4

and the non-added control, but considerable variabilitywas observed in the KCl-added soil. The cumulativeN2O emissions throughout the 72 h incubation in thenon-added control, 10 mmol L−1 KCl and 5 mmol L−1

K2SO4 were 2.9 ± 0.6, 5.3 ± 6.1 and 4.4 ± 1.5 mg N m−2

(0.6 ± 0.1, 1.2 ± 1.3, 1.0 ± 0.3 µg N g−1 soil) with CVvalues of 21, 115 and 34% (17, 108 and 30%), respectively.There were no significant differences between thecontrol and the 10 mmol L−1 KCl (P = 0.9986) or 5 mmol L−1

K2SO4 additions (P = 0.8559), or between the 10 mmol L−1

KCl and 5 mmol L−1 K2SO4 additions (P = 0.8794).

Figure 3 Effect of liming by using charcoal and its ash on N2Oemissions from soil (TG2005) rewetted at 73% of its water-filled pore space. The values shown are the mean ± standarddeviation of three replicates. The cumulative N2O emissionsduring the 72-h incubation period for the non-added control,ash-amended soil and charcoal-amended soil were 4.1 ± 1.9,4.3 ± 1.2 and 0.8 ± 0.7 mg N m−2 (equivalent to 0.9 ± 0.4,1.0 ± 0.3 and 0.2 ± 0.2 µg N g−1soil), respectively.

Figure 4 Effect of charcoal addition on N2O emissions fromsoil (TG2005) rewetted at 83% of its water-filled pore space.The values shown are the mean ± standard deviation ofthree replicates. The cumulative N2O emissions during the72-h incubation period for the non-added control and the 2and 8.2 wt% charcoal additions were 6.8 ± 0.9, 10.0 ± 0.8and 10.3 ± 0.6 mg N m−2 (equivalent to 1.5 ± 0.2, 2.2 ± 0.2 and2.4 ± 0.1 µg N g−1soil), respectively.

Page 40: Agricultural Applications for Pine-Based BioChar

186 Y. Yanai et al.

© 2007 Japanese Society of Soil Science and Plant Nutrition

DISCUSSION

The present study demonstrated that rewetting ofair-dried soil at 73% WFPS caused significant N2Oemissions (Fig. 1), and the N2O emissions were sup-pressed by the addition of charcoal (Figs 2,3). Thissuppression of the N2O emissions was first consideredto be a liming effect because charcoal has alkali (Table 2)and it had the potential to increase the N2O-reducingactivity of denitrifying communities (Cavigelli andRobertson 2000), which might cause a decrease in N2Oemissions (Cavigelli and Robertson 2001). Therefore,liming resulting from the ash was expected to have asimilar potential for promoting N2O-reducing activityto the charcoal itself. We checked the soil pH (1:2.5ratio) after the observation of N2O emission from soilsto which charcoal and its ash had been added and therewere no significant differences between these amendments(5.7 ± 0.03 and 5.6 ± 0.01, respectively, P = 0.08), butthese treatments were significantly different from thenon-added control (4.9 ± 0.2, P < 0.01, n = 3). However,the addition of ash did not suppress N2O emissions (Fig. 4).Moreover, the suppressive effects of charcoal additionon N2O emissions were not observed when the soilswere rewetted at 83% WFPS (Fig. 4). These resultsindicate that soil pH amendments, which are intended

to stimulate the N2O-reducing activity, may not explainthe suppression of the N2O emissions from soil rewet-ted at 73% WFPS (Figs 2,3). In addition, irrespective ofthe inhibitory effects of Cl− and the stimulatory effectsof on N2O-reducing activity of denitrifying com-munities (Yanai et al.), there were no clear differences inthe N2O emissions when KCl and K2SO4 were addedto the soils (Fig. 5). This finding could result from theuse of concentrations (5 and 10 mmol L−1) that weretoo low to affect the denitrifying communities (Table 3)because the effects of Cl− and were detected at morethan 40 mmol L−1 in the liquid medium in our previousstudy (Yanai et al.). Nevertheless, these results sug-gested that amelioration of the chemical properties ofsoil in order to stimulate the N2O-reducing activity maynot be related to the suppression of the N2O emissionsfrom soil rewetted at 73% WFPS (Figs 2,3).

Increases in N2O emission rates with increasing soilwater contents have been reported from laboratory andfield studies and have been attributed to increasingdenitrifying activity induced by decreased O2 diffusioninto the soil (Ruser et al. 2006 and references therein).In the present study, we observed a similar trend, namely,that N2O emissions increased with increases in the watercontent of soil by rewetting at 73% and 83% WFPS,whereas significant N2O emissions were not detected byrewetting at 64% WFPS (Fig. 1). This result suggests thata decrease in the moisture conditions from 83% to 73%WFPS did not affect the denitrifying communities, whilea decrease from 73% to 64% WFPS may result in a sig-nificant decrease in the anoxic microsites, which resultsin the suppression of denitrification. Thus, undetectableN2O emissions from soil rewetted at 64% WFPS may notbe the result of complete denitrification, including N2Oreduction to N2, but, rather, to insufficient developmentof anoxic microsites in the soil to trigger denitrification.Possibly, this was caused by the soil sample TG2005,which had less denitrification activity because of a lowerpopulation density of denitrifiers, soil pH, and the amountof substrate compared with the soil sample TG2004(Table 1). In addition, the decay of the N2O emission ratein the later incubation period after rewetting may be thecompletion of N2O production (stepwise reductions of

, , and NO) rather than the kinetic equilibra-tion of N2O production and reduction followed by N2

production. Ruser et al. (2006) observed few N2 emissionsafter rewetting, indicating a low or undetectable contri-bution of N2O-reducing activity in the later incubationperiod after rewetting. Therefore, the N2O-reducing activityof denitrifying communities may not significantly affectN2O emissions after rewetting of air-dried soil, suggestingthat the suppressive effect of the charcoal addition onN2O emissions (Figs 2,3) might result from inhibition ofN2O-producing activity of denitrifying communities.

Figure 5 Effect of Cl− and of K salts on N2O emissionsfrom soil (TG2005) rewetted at 73% of its water-filled porespace. An air-dried soil sample was rewetted using distilledwater (control) or a K solution and incubated at roomtemperature. The values shown are the mean ± standarddeviation of three replicates. The cumulative N2O emissionsduring the 72-h incubation period for the non-added control,the 10 mmol L−1 KCl-added soil and the 5 mmol L−1 K2SO4

added soil were 2.9 ± 0.6, 5.3 ± 6.1 and 4.4 ± 1.5 mg N m−2

(equivalent to 0.6 ± 0.1, 1.2 ± 1.3 and 1.0 ± 0.3 µg N g−1 soil),respectively.

SO42−

SO42−

NO3− NO2

Page 41: Agricultural Applications for Pine-Based BioChar

Effect of charcoal on N2O emissions 187

© 2007 Japanese Society of Soil Science and Plant Nutrition

Although there was no direct evidence to show alinkage between the addition of charcoal and thesuppression of N2O emissions from soil (Figs 2,3), theadded charcoal itself probably absorbed water andimproved the aeration of the soil, leading to a suppressionof N2O production (stepwise reduction of , and NO) similar to the soil rewetted at 64% WFPS (Fig. 1).In fact, the charcoal examined was made up of porousparticles, whereas the ash was nearly pulverized. Suchdifferences in the size and structure possibly affect the waterabsorption capacity of these materials, and may conse-quently cause differences in the soil aeration, the denitrifi-cation process, and N2O emissions from soil, althoughthe charcoal addition did not significantly affect theMWHC or the particle density (data not shown). Hence,the significant increases in N2O emissions by the addi-tion of charcoal to soil rewetted at 83% WFPS (Fig. 4)can be interpreted as an interaction between the insig-nificant improvement of the aeration of the soil and thestimulation of the N2O-producing activity resultingfrom neutralization (e.g. Cavigelli and Robertson 2000).

Charcoal was examined in this study because of itspotential use for soil amendments in temperate regions(Nerome et al. 2005) and in the tropics (Glaser et al. 2002;Yamato et al. 2006). Although any extrapolation of thefindings from this short-term laboratory study to a long-term field scale should be conducted with caution, fieldapplications of charcoal possibly suppress N2O emissionsfrom arable soil, depending on the moisture or aerationconditions of the soil. In contrast, our understanding of theprocess of suppressing N2O emissions from soil by charcoal isstill preliminary. Therefore, further studies are necessary tounderstand both the mechanisms and possible side-effectsof charcoal addition to soil on the suppression of N2Oemissions from soil, such as the activity of assimila-tion, accumulation in soil or NOx emissions from soil.

ACKNOWLEDGMENTS

The authors thank Dr Yuzo Kurokawa (Tokyo Universityof Agriculture and Technology) for providing soil samplesand Mr Sumio Yamada (JFE Holdings) for providing thecharcoal samples. The work described in this report wasfinancially supported by a Sasakawa Scientific ResearchGrant from The Japan Science Society (16-315), the TUA&T21 Century COE program (Evolution and Survival ofTechnology-based Civilization: Professor Masayuki Horio)and by the Japan Society for the Promotion of ScienceResearch Fellowships for Young Scientists (17-6518).

REFERENCESAzam F, Müller C 2003: Effect of sodium chloride on deni-

trification in glucose amended soil treated with ammo-

nium and nitrate nitrogen. J. Plant Nutr. Soil Sci., 166,594–600.

Blake GR, Hartge KH 1986: Particle density. In Physical andMineralogical Methods. Ed. A Klute, pp. 377–382, SoilScience Society of America, Madison.

Bland M, Peacock J 2002: Normal distribution. In StatisticalQuestions in Evidence-based Medicine. Ed. K Adachi, pp.79–85, Shinoharashinsha Press, Tokyo (in Japanese).

Borken W, Brumme R 1997: Liming practice in temperateforest ecosystems and the effects on CO2, N2O and CH4

fluxes. Soil Use Manage., 13, 251–257.Borken W, Grundel S, Beese F 2000: Potential contribution of

Lumbricus terrestris L. to carbon dioxide, methane andnitrous oxide fluxes from a forest soil. Biol. Fertil. Soils,32, 142–148.

Bouwman AF 1990: Exchange of greenhouse gases betweenterrestrial ecosystems and the atmosphere. In Soils andthe Greenhouse Effect. Ed. AF Bouwman, pp. 61–127.John Wiley, New York.

Butterbach-Bahl K, Gasche R, Breuer L, Papen H 1997: Fluxesof NO and N2O from temperate forest soils: Impact offorest type, N deposition and of liming on the NO andN2O emissions. Nutr. Cycl. Agroecosys., 48, 79–90.

Cavigelli MA, Robertson GP 2000: The functional significanceof denitrifier community composition in a terrestrialecosystem. Ecology, 81, 1402–1414.

Cavigelli MA, Robertson GP 2001: Role of denitrifier diversityin rates of nitrous oxide consumption in a terrestrialecosystem. Soil Biol. Biochem., 33, 297–310.

Clough TJ, Kelliher FM, Sherlock RR, Ford CD 2004: Limeand soil moisture effects on nitrous oxide emissions froma urine patch. Soil Sci. Soc. Am. J., 68, 1600–1609.

Clough TJ, Sherlock RR, Kelliher FM 2003: Can limingmitigate N2O fluxes from a urine-amended soil? Aust. J.Soil Res., 41, 439–457.

Crutzen PJ 1981: Atmospheric chemical processes of the oxidesof nitrogen, including nitrous oxide. In Denitrification,Nitrification and Atmospheric Nitrous Oxide. Ed. CCDelwiche, pp. 17–44. John Wiley, New York.

Glaser B, Lehmann J, Zech W 2002: Ameliorating physicaland chemical properties of highly weathered soils in thetropics with charcoal – A review. Biol. Fertil. Soils, 35,219–230.

Hutchinson GL, Mosier AR 1981: Improved soil covermethod for field measurement of nitrous oxide fluxes.Soil Sci. Soc. Am. J., 45, 311–316.

Inubushi K, Barahona MA, Yamakawa K 1999: Effects ofsalts and moisture content on nitrous oxide emission andnitrogen dynamics in Yellow soil and Andosol in modelexperiments. Biol. Fertil. Soils, 29, 401–407.

Khalil MI, Van Cleemput O, Rosenani AB, Fauziah CI,Shamshuddin J 2003: Nitrous oxide formation potentialof various humid tropic soils of Malaysia: A laboratorystudy. Nutr. Cycl. Agroecosys., 66, 13–21.

Klemedtsson L, Klemedtsson AK, Moldan F, Weslien P 1997:Nitrous oxide emission from Swedish forest soils inrelation to liming and simulated increased N-deposition.Biol. Fertil. Soils, 25, 290–295.

Kusa K, Hu R, Sawamoto T, Hatano R 2006: Three years of

NO3− NO2

NO3−

NO2−

Page 42: Agricultural Applications for Pine-Based BioChar

188 Y. Yanai et al.

© 2007 Japanese Society of Soil Science and Plant Nutrition

nitrous oxide and nitric oxide emissions from silandicandosols cultivated with maize in Hokkaido, Japan. SoilSci. Plant Nutr., 52, 103–113.

Mosier AR, Delgado JA, Keller M 1998: Methane and nitrousoxide fluxes in an acid Oxisol in western Puerto Rico:Effects of tillage, liming and fertilization. Soil Biol.Biochem., 30, 2087–2098.

Nerome M, Toyota K, Islam T-MD et al. 2005: Suppressionof bacterial wilt of tomato by incorporation of municipalbiowaste charcoal into soil. Soil Microorganisms, 59,9–14 (in Japanese with English summary).

Rudaz AO, Davidson EA, Firestone MK 1991: Sources ofnitrous oxide production following wetting of dry soil.FEMS Microbiol. Ecol., 85, 117–124.

Ruser R, Flessa H, Russow R, Schmidt G, Buegger F, MunchJC 2006: Emission of N2O, N2 and CO2 from soil ferti-lized with nitrate: Effect of compaction, soil moisture andrewetting. Soil Biol. Biochem., 38, 263–274.

Ruser R, Flessa H, Schilling R, Beese F, Munch JC 2001:Effect of crop type-specific soil management and Nfertilization on N2O emissions from a fine-loamy soil.Nutr. Cycl. Agroecosys., 59, 177–191.

Tiedje JM 1994: Denitrifiers. In Microbiological and

Biochemical Properties. Eds RD Weaver, JS Angle and PSBottomley, pp. 245–267, Soil Science Society of America,Madison.

Tokuda S, Hayatsu M 2004: Nitrous oxide flux from a teafield amended with a large amount of nitrogen fertilizerand soil environmental factors controlling the flux. SoilSci. Plant Nutr., 50, 365–374.

Wang YP, Meyer CP, Galbally IE, Smith CJ 1997: Compari-sons of field measurements of carbon dioxide andnitrous oxide fluxes with model simulations for a legumepasture in southeast Australia. J. Geophys. Res., 102,28 013–28 024.

Yamato M, Okimori Y, Wibowo IF, Anshori S, Ogawa M2006: Effects of the application of charred bark of Acaciamangium on the yield of maize, cowpea and peanut, andsoil chemical properties in South Sumatra, Indonesia. SoilSci. Plant Nutr., 52, 489–495.

Yanai Y, Hatano R, Okazaki M, Toyota K. Chemical factorsaffecting the N2O-reducing activity of denitrifying com-munities – Analysis of the C2H2 inhibition-based N2Oproduction curve of soil.

Zumft WG 1997: Cell biology and molecular basis of denitri-fication. Microbiol. Mol. Biol. Rev., 61, 533–616.

Page 43: Agricultural Applications for Pine-Based BioChar
Page 44: Agricultural Applications for Pine-Based BioChar
Page 45: Agricultural Applications for Pine-Based BioChar
Page 46: Agricultural Applications for Pine-Based BioChar
Page 47: Agricultural Applications for Pine-Based BioChar

US Offset Market

•  Trends – Fossil fuels will likely be capped – Favor domestic projects over international projects

•  Destroying methane emissions •  Sequestration

–  Forestry –  Soil Management –  Biochar?

Page 48: Agricultural Applications for Pine-Based BioChar

Sequestration Projects •  Clean Development Mechanism

– Reforestation/afforestation only – Temporary credits

HFCs, PFCs & N2O reduction

27%

Renewables 35%

CH4 reduction & Cement & Coal mine/bed

20%

Supply-side EE 10%

Fuel switch 7%

Demand-side EE 1%

Afforestation & Reforestation

0.4%

Transport 0.2%

Expected CERs Until 2012 (%) in each category

Page 49: Agricultural Applications for Pine-Based BioChar

Outline

•  Theory of offsets •  How offsets could support biochar projects •  Methodology issues •  Current funding from The Climate Trust

Page 50: Agricultural Applications for Pine-Based BioChar

$ = CO2 Sequestered x Price • Low Quality US Projects

•  Chicago Climate Exchange: $2-$4/mt CO2

•  High Quality US Projects

•  Voluntary Carbon Standard: $4-$9/mt CO2

•  California Climate Action Registry: $5-$11/mt CO2

•  Mature International Markets

•  EU Emissions Trading Scheme: $10-$40/mt CO2

•  Projections for Early US Market

•  Markey-Waxman Bill : $10-$15/mt CO2

Page 51: Agricultural Applications for Pine-Based BioChar

GHG Reduction Reduction Size Qualify for Carbon Finance?

Sequestration Large Yes

Fuel switch Medium Likely to be capped

Less fertilizer fewer soil emissions (N2O and CH4)

Medium/Large Hard to measure

Less fertilizer less fertilizer production

Small/Medium Indirect, hard to measure, likely to be capped

Biochar GHG Reductions

Page 52: Agricultural Applications for Pine-Based BioChar

Currently Methodologies

Avoidance of methane production from biomass decay through controlled pyrolysis

•  Small scale •  No credit for carbon sequestration, but… •  Char must be “biologically inert”

•  Volatile C/Fixed C ratio lower than 50%

Page 53: Agricultural Applications for Pine-Based BioChar

Next Step: Sequestered Carbon

Carbon Gold methodology for proposed to the Voluntary Carbon Standard

Page 54: Agricultural Applications for Pine-Based BioChar

Outline

•  Theory of offsets •  How offsets could support biochar projects •  Methodology issues •  Current funding from The Climate Trust

Page 55: Agricultural Applications for Pine-Based BioChar

Unresolved Methodology Issues

•  Recalcitrance •  Guarantee 100 years of permanent sequestration •  Carbon Gold: Volatile C/Fixed C ratio lower than 50%

•  Soil monitoring •  What happens to char that erodes out of the soils?

Page 56: Agricultural Applications for Pine-Based BioChar

Unresolved Methodology Issues

•  Ownership – Three entities, same reduction 1.  Feedstock owner 2.  Pyrolysis plant 3.  Land owner

•  Carbon Gold: Credits pyrolysis plant •  Sequestered carbon can only be claimed once

Page 57: Agricultural Applications for Pine-Based BioChar

Unresolved Methodology Issues

•  Environmental impact –  Heavy metals –  Criteria air pollutants –  Microbe health –  Carbon already in soil

Page 58: Agricultural Applications for Pine-Based BioChar

Resolved Issue: Waste Feedstocks

•  Leakage – Changes in emissions outside the project

itself •  Direct: Biomass fuel unavailable •  Indirect: displace current farm land for biochar

feedstock plantations land use change •  Carbon Gold: “biomass that would otherwise

have been left to decay or been burned in an uncontrolled manner”

Page 59: Agricultural Applications for Pine-Based BioChar

Carbon Markets and Biochar: An Offset Buyers Perspective

North American Biochar Conference August 10th, 2009

Peter Weisberg Offset Project Analyst

[email protected] 503-238-1915

Page 60: Agricultural Applications for Pine-Based BioChar

Outline

•  Theory of offsets •  How offsets could support biochar projects •  Methodology issues •  Current funding from The Climate Trust

Page 61: Agricultural Applications for Pine-Based BioChar
Page 62: Agricultural Applications for Pine-Based BioChar

Source: The McKinsey Quarterly. 2007. “A cost curve for greenhouse gas reductions.”

Page 63: Agricultural Applications for Pine-Based BioChar
Page 64: Agricultural Applications for Pine-Based BioChar
Page 65: Agricultural Applications for Pine-Based BioChar
Page 66: Agricultural Applications for Pine-Based BioChar

US Offset Market

•  Trends – Fossil fuels will likely be capped – Favor domestic projects over international projects

•  Destroying methane emissions •  Sequestration

–  Forestry –  Soil Management –  Biochar?

Page 67: Agricultural Applications for Pine-Based BioChar

Sequestration Projects •  Clean Development Mechanism

– Reforestation/afforestation only – Temporary credits

HFCs, PFCs & N2O reduction

27%

Renewables 35%

CH4 reduction & Cement & Coal mine/bed

20%

Supply-side EE 10%

Fuel switch 7%

Demand-side EE 1%

Afforestation & Reforestation

0.4%

Transport 0.2%

Expected CERs Until 2012 (%) in each category

Page 68: Agricultural Applications for Pine-Based BioChar

Outline

•  Theory of offsets •  How offsets could support biochar projects •  Methodology issues •  Current funding from The Climate Trust

Page 69: Agricultural Applications for Pine-Based BioChar

$ = CO2 Sequestered x Price • Low Quality US Projects

•  Chicago Climate Exchange: $2-$4/mt CO2

•  High Quality US Projects

•  Voluntary Carbon Standard: $4-$9/mt CO2

•  California Climate Action Registry: $5-$11/mt CO2

•  Mature International Markets

•  EU Emissions Trading Scheme: $10-$40/mt CO2

•  Projections for Early US Market

•  Markey-Waxman Bill : $10-$15/mt CO2

Page 70: Agricultural Applications for Pine-Based BioChar

GHG Reduction Reduction Size Qualify for Carbon Finance?

Sequestration Large Yes

Fuel switch Medium Likely to be capped

Less fertilizer fewer soil emissions (N2O and CH4)

Medium/Large Hard to measure

Less fertilizer less fertilizer production

Small/Medium Indirect, hard to measure, likely to be capped

Biochar GHG Reductions

Page 71: Agricultural Applications for Pine-Based BioChar

Currently Methodologies

Avoidance of methane production from biomass decay through controlled pyrolysis

•  Small scale •  No credit for carbon sequestration, but… •  Char must be “biologically inert”

•  Volatile C/Fixed C ratio lower than 50%

Page 72: Agricultural Applications for Pine-Based BioChar

Next Step: Sequestered Carbon

Carbon Gold methodology for proposed to the Voluntary Carbon Standard

Page 73: Agricultural Applications for Pine-Based BioChar

Outline

•  Theory of offsets •  How offsets could support biochar projects •  Methodology issues •  Current funding from The Climate Trust

Page 74: Agricultural Applications for Pine-Based BioChar

Unresolved Methodology Issues

•  Recalcitrance •  Guarantee 100 years of permanent sequestration •  Carbon Gold: Volatile C/Fixed C ratio lower than 50%

•  Soil monitoring •  What happens to char that erodes out of the soils?

Page 75: Agricultural Applications for Pine-Based BioChar

Unresolved Methodology Issues

•  Ownership – Three entities, same reduction 1.  Feedstock owner 2.  Pyrolysis plant 3.  Land owner

•  Carbon Gold: Credits pyrolysis plant •  Sequestered carbon can only be claimed once

Page 76: Agricultural Applications for Pine-Based BioChar

Unresolved Methodology Issues

•  Environmental impact –  Heavy metals –  Criteria air pollutants –  Microbe health –  Carbon already in soil

Page 77: Agricultural Applications for Pine-Based BioChar

Resolved Issue: Waste Feedstocks

•  Leakage – Changes in emissions outside the project

itself •  Direct: Biomass fuel unavailable •  Indirect: displace current farm land for biochar

feedstock plantations land use change •  Carbon Gold: “biomass that would otherwise

have been left to decay or been burned in an uncontrolled manner”

Page 78: Agricultural Applications for Pine-Based BioChar

Outline

•  Theory of offsets •  How offsets could support biochar projects •  Methodology issues •  Current funding from The Climate Trust

Page 79: Agricultural Applications for Pine-Based BioChar

•  3 Programs •  Oregon Program •  Smart Energy •  Colorado Carbon Fund

•  16 projects, $8.8 million in funding, 2.6 million tons of CO2 offset •  Non-profit

- Laboratory for innovative offset projects

Page 80: Agricultural Applications for Pine-Based BioChar
Page 81: Agricultural Applications for Pine-Based BioChar

Project Development Timeline

Proposal Due Diligence

Contract Negotiation Commercial

Operation

Annual Monitoring

Upfront Payment

Annual payment “upon delivery”

Page 82: Agricultural Applications for Pine-Based BioChar

Peter Weisberg Offset Project Analyst [email protected] 503-238-1915 x 207

Page 83: Agricultural Applications for Pine-Based BioChar

www.elsevier.com/locate/chemosphere

Chemosphere 67 (2007) 1033–1042

Differential sorption behaviour of aromatic hydrocarbons oncharcoals prepared at different temperatures from grass and wood

Ludger C. Bornemann a,b,*,1, Rai S. Kookana a, Gerhard Welp b

a CSIRO Land and Water, Adelaide Laboratory, Waite Road, Urrbrae SA, Australiab Institute of Crop Science and Resource Conservation of the University of Bonn, Division of Soil Science, Nussallee 13, 53115 Bonn, Germany

Received 27 June 2006; received in revised form 13 October 2006; accepted 19 October 2006Available online 8 December 2006

In memory of the 100th anniversary of the birth of Prof. Dr. H.C. Eduard Muckenhausen (February 17th 1907)

Abstract

Naturally occurring charcoals are increasingly being recognized as effective sorbents for organic compounds. In this study we inves-tigated the sorption of benzene and toluene in single-sorbate and bi-sorbate systems on different types of charcoals produced in labora-tory, employing the batch sorption technique. Air dried plant materials from Phalaris grass (Phalaris tuberosa) and Red Gum wood(Eucalyptus camadulensis) were combusted under limited oxygen supply at 250 �C, 450 �C, and 850 �C. The resulting charcoals were char-acterized for their specific surface areas, total cation content, and pore size distributions (pore size distribution only for wood combustedat 450 �C and 850 �C). For the materials treated at 850 �C not only the surface area, microporosity, and total amount of sorbed sorbateincreased markedly, but also the non-linearity of the sorption isotherm. The pore size distributions and surface areas as well as an indif-ferent sorption behaviour and competition effects for both sorbates indicated that pore filling mechanisms were the dominating processesgoverning the sorption on these microporous, high temperature treated materials. For the materials treated at lower temperatures theaffinity of toluene was higher compared to that of benzene. In the bi-sorbate system the overall uptake of benzene increased. These phe-nomena might be due to the stronger hydrophobicity of toluene, and to a varying potential for swelling of the matrix and pore defor-mation by the two sorbates. The significantly lower sorption capacity of the Phalaris-derived material compared to the Red Gumcharcoal correlated with its smaller surface area and higher cation content.� 2006 Elsevier Ltd. All rights reserved.

Keywords: Charcoal; Aromatic hydrocarbons; Pore filling; Hydrophobic partitioning

1. Introduction

Charcoal, the solid residue of partially combusted bio-mass, is a major constituent of the non-living organic mat-ter of many soils and sediments (Schmidt and Noack,2000). Together with other species of pyrolytic carbon itcomprises a ubiquitous group of materials in our environ-ment, commonly named black carbon (BC) (Goldberg,1985). Currently, little is known about formation, move-

0045-6535/$ - see front matter � 2006 Elsevier Ltd. All rights reserved.

doi:10.1016/j.chemosphere.2006.10.052

* Corresponding author. Tel.: +49 228 73 9368; fax: +49 228 73 2782.E-mail address: [email protected] (L.C. Bornemann).

1 PMB 2, Glen Osmond, SA 5064, Australia.

ment, and oxidation of charcoal, but there are indicationsthat frequent vegetation fires and alluvial transport areplaying a major role (Skjemstad et al., 1997). Charcoalwithstands biological and chemical degradation to a con-siderable degree (Goldberg, 1985) and plays an importantrole in the global carbon cycle and carbon sequestrationdue to accumulation processes (Jenkinson, 1990).

Several studies revealed the potential of charcoal toserve as a strong sorbent for environmental pollutants,thereby playing a crucial role in governing their environ-mental fate and risks to human and ecosystem health. Poly-cyclic aromatic hydrocarbons (PAH), polychlorinatedbiphenyls (PCB), and polychlorinated dibenzo-dioxins

Page 84: Agricultural Applications for Pine-Based BioChar

1034 L.C. Bornemann et al. / Chemosphere 67 (2007) 1033–1042

(PCDD) have been detected on carbonaceous geosorbentsand are contaminants of environmental concern (e.g.Accardi-Dey and Gschwend, 2003; Abelmann et al.,2005; Lohmann et al., 2005). However, the majority ofstudies dealing with sorption on activated carbon, soot,coal, charcoal, graphite, opaque particles and other formsof BC has been conducted utilizing rather simple aromaticcompounds as model substances like benzene, toluene, orphenanthrene (e.g. Gustafsson et al., 1997; Kleineidamet al., 2002; Zhu and Pignatello, 2005). The sorption ofthese model substances on BC species has been shown tobe strong and highly non-linear (e.g. Accardi-Dey andGschwend, 2003; Braida et al., 2003; Nguyen et al., 2004;James et al., 2005). Several attempts to explain the sorptionbehaviour of organic materials with varying physicochem-ical properties have been made during the last decade.Chiou et al. (2000) introduced the term of ‘‘high surfacearea carbonaceous material’’ (HSACM). Small amountsof charred material like soot or charcoal are consideredto be responsible for the non-linear sorption of polar andapolar components. The involved mechanisms are assumedto be hydrophobic partitioning and pore filling, accordingto the Polanyi–Manes (PM) model (Manes, 1998). The the-ory postulates the existence of a nonpolar, microporousadsorption site with a characteristic adsorption potential,which is influenced by the nature of the sorbent, and thedistance of the sorption site from the sorbent surface. Alsointeractions of water and adsorbent surface are taken intoaccount. The fundamental idea is a condensation of theadsorbate in (micro-) pores while exhibiting the same phys-ical properties as the unconfined bulk organic liquid orsolid. The sorption capacity is believed to be restricted bythe pore volume occupied by the mixed phase of condensedliquids or solids. Consequently, the sorption of hydropho-bic organic contaminants (HOC) on BC materials would bemainly governed by its microporosity and its hydrophobiccharacter.

The physical properties of charcoals from burned bio-mass are strongly dependent on the conditions during thecombustion process (Shafizadeh, 1984). According toSchmidt and Noack (2000), charcoals produced by vegeta-tion wildfires consist mainly of several randomly orientatedstacks of graphitic sheets. Still, the structure is influencedcrucially by a number of combustion parameters. The mainfactors are the fuel type, fuel load, fuel condition, weathercondition, substrate heterogeneity, fire intensity, and dura-tion (Patterson et al., 1987). Karapanagioti et al. (2004)stated that ‘‘. . .the charcoal particle subgroup of organicmatter is heterogeneous in nature’’, and therefore con-cluded that different subgroups of charcoal have to be dis-tinguished in order to optimize the predictions for the bulksorption behaviour.

So far, little attention has been directed to the heteroge-neity within the subgroup of charcoals. From work of Rai-son (1979) and Scott (1989) we know that elevated groundtemperatures during most wildfires may vary between200 �C and 500 �C, with highest temperatures for scrub-

land wildfires ranging up to levels between 700 �C and1000 �C. Despite these extreme temperature ranges, artifi-cial charcoals as used in most sorption studies consistedeither of charcoals produced from one fixed, or only asmall range of temperatures (Sander and Pignatello,2005; Zhu and Pignatello, 2005; Zhu et al., 2005). A studyby James et al. (2005), however, employed a range of differ-ent combustion temperatures for three species of softwood.Still, the sorptive behaviour of the range of natural char-coals remains poorly understood and data is lacking forcharcoals produced from different parent materials at var-ious temperatures.

The objectives of this study were (i) investigate the sorp-tive properties of charcoals produced from hardwood andherbaceous material at various temperatures representativeof wildfires, and (ii) compare the sorption behaviour of twosimple aromatic model compounds on the range of char-coals in single and bi-sorbate systems.

2. Experimental section

2.1. Wood and grass charcoal production

Red Gum (Eucalyptus camadulensis) chips, as used forgardening purposes, were purchased from a landscape sup-plier, and a pure stand of Phalaris pasture grass (Phalaris

tuberosa) was cut from a meadow. Both materials wereair dried at 40 �C. Thin pieces of Red Gum wood werehand picked, the Phalaris grass was milled into coarse seg-ments and the dust was separated by sieving (2 mm grid).To allow a uniform combustion process, the materials werestacked uncongested in porcelain crucibles with lids. Thefilled crucibles were weighed and subsequently placed in amuffle furnace. For the charcoals combusted at 250 �Cand 450 �C, the furnace was ramped from room tempera-ture to the final temperature in 1 h. As a second stage,the final temperature was held for 2 h for the Red Gumwood. Due to the more combustible nature of the Phalarisgrass, the final temperature was held only for 1 h in thiscase. The furnace was then switched off to allow the cruci-bles to cool down to room temperature. The Red Gumwood treated at 850 �C was combusted for only 1 h afterreaching the final temperature, for the Phalaris grass thetime was reduced to half an hour. The charred materialwas weighed and grinded to powder on a N.V. THEMAdisc-rotating mill for 3 min. In the following, the abbrevia-tions R250, R450, and R850 are used for the Red Gumcharcoals, P250, P450 and P850 for the Phalaris charcoals.

2.2. Determination of charcoal properties

The continuous flow method at 77 K was employed forquantification of adsorbed and desorbed N2, using aQUANTACHROME QUANTASORB QS-13 Surface-Area Particle-Size Analyzer and ultra high purity gaseousnitrogen (99.999%, from BOC Gases). Surface areas forall six utilized charcoals were calculated from three-point

Page 85: Agricultural Applications for Pine-Based BioChar

ls �1)

Na

(mg

kg�

1)

K (mg

kg�

1)

Su

m(m

gk

g�1)

Su

mC

Ma

(%)

Su

mD

Mb

(%)

Vm

icro

c

(ml li

qg�

1)

Vto

tald

(ml li

qg�

1)

N2

BE

T-S

SA

e

(m2

g�1)

140

840

611

00.

60.

4–

–8

320

128

08

690

0.9

0.4

0.00

375

0.02

219

3466

02

580

1315

01.

30.

30.

2469

0.27

5760

5

538

017

640

2740

02.

71.

9–

–4

766

029

240

4407

04.

41.

8–

–20

1266

036

080

5820

05.

81.

6–

–37

1

1938

).

L.C. Bornemann et al. / Chemosphere 67 (2007) 1033–1042 1035

regression, based on the BET equation after Brunauer et al.(1938). Additionally, the pore size distribution of R450 andR850 was evaluated using BET nitrogen adsorption tech-nique at 77 K. The details of the method and uncertaintiesassociated with the measurement have been publishedelsewhere (Badalyan and Pendleton, 2003). Outgassing ofthe charcoal was carried out at 300 �C for 8 h at a back-ground vacuum of 1 · 10�4 Pa, similar to that used forcharcoal samples by Braida et al. (2003). For the pore vol-ume evaluation, we employed aS-plot analysis, where theadsorption properties of a porous solid are compared withthose of a non-porous standard material exhibiting surfacechemistry similar to the test sample (Badalyan and Pendl-eton, 2003). Moisture content was determined by compar-ison of sample mass before and after evacuation at 300 �C.We classified pore width (dp), according to IUPAC recom-mendations as follows: micropores: dp < 2 nm, mesopores:2 < dp < 50 nm, and macropores: dp > 50 nm. Pores, whichwere smaller than 2 nm were analyzed using the Horvath–Kawazoe (H–K) method (Horvath and Kawazoe, 1983).This method calculates the effective micropore size distri-bution of slit-shape pores using the data from adsorptionisotherms. Using the H–K equation we calculated effectivemean width of slit pores (dp), and correlated it with thevalue of DV ads

Drslit, where DVads is the incremental amount of

nitrogen adsorbed (converted to condensed liquid volumeof nitrogen) and Drslit is the corresponding incrementalwidth of slit pores. The individual and cumulative frequen-cies were calculated for a range of dp data. Further infor-mation on the characteristics of these materials hasrecently been published by Smernik et al. (2006) and Yuet al. (2006).

For the measurement of the total cation contents byatomic absorption spectroscopy (AAS), �0.2 g of thecharred material was weighed into microwave vessels and2 ml H2O2 (35%) and 5 ml HNO3 (70%) were added. Thesamples were then digested, using a MILESTONE mls1200 Digestion Unit (300 W, 5 min, 600 W, 5 min, 500 W,3 min). The samples were converted into 50 ml volumetricflasks and made up to volume in Milli-Q water. The liquidwas filtered through 0.45 lm filters and 0.5 ml of the samplewas diluted 20 times prior to AAS analysis. Charcoal prop-erties and composition details are presented in Table 1.

Tab

le1

Sel

ecte

dch

arp

rop

erti

esan

dco

mp

osi

tio

nd

etai

Sam

ple

nam

eC

a(m

gk

g�1)

Mg

(mg

kg

Red

Gu

m25

0�C

485

028

0R

edG

um

450

�C6

700

390

Red

Gu

m85

0�C

940

051

0

Red

Gu

m25

0�C

202

02

360

Red

Gu

m45

0�C

349

03

680

Red

Gu

m85

0�C

474

04

720

aS

um

of

com

bu

sted

mat

ter

(Ch

arco

al).

bS

um

of

dry

mat

ter

(pre

curs

or

mat

eria

l).

cM

icro

po

re-v

olu

me

(<2

nm

).d

To

tal

po

revo

lum

e.e

Sp

ecifi

csu

rfac

ear

eaaf

ter

Bru

nau

eret

al.

(

2.3. Batch sorption

All experiments were conducted in 32 ml KIMAX�

glass culture-tubes (Kimble Glass Inc. USA) with PTFE-lined screw lids to minimize sorption effects on the con-tainer. Aliquots of 32 mg of charcoal were weighed in thereaction vials and hydrated with 20 ml Milli-Q water for42 h in an end-over-end shaker. A pre-hydrating periodof at least 20–24 h is required due to the hydrophobic nat-ure of the charcoal (Zhu and Pignatello, 2005; Zhu et al.,2005). After hydrating, the test sorbate was added as astock solution in a methanol-carrier. Benzene, toluene, pro-

Page 86: Agricultural Applications for Pine-Based BioChar

1036 L.C. Bornemann et al. / Chemosphere 67 (2007) 1033–1042

pyl-benzene, methanol, and dichloromethane with HPLC-grade purity (>99.9%) were used in the experiments. Forpractical reasons the sorbate concentrations were preparedas ll l�1and converted into lg l�1 in the calculations. In thesingle-sorbate system, for the materials treated at 250 �Cand 450 �C, the initial sorbate concentrations were cover-ing 2.20–87.90 lg ml�1 for benzene, and 2.17–86.6 lg ml�1

for toluene. Due to the considerably higher sorption capac-ity of the 850 �C materials the concentration range wasexpanded to 351.6 lg ml�1 for benzene and 346.4 lg ml�1

for toluene. In the bi-sorbate systems both sorbates wereadded in equal amounts, the total sorbate concentrationtherefore being doubled, compared to the single-sorbatesystems. In order to prevent varying solvent effects, metha-nol was always kept at 1% by volume throughout allexperiments. Specifications regarding the maximum con-centration of carrier-solvent avoiding interference withthe sorption process are inconsistent (e.g. Kleineidamet al., 2002; Karapanagioti et al., 2004; Sander and Pigna-tello, 2005). However, we found in preliminary experimentsthat keeping the solvent concentration constant at 1% pro-vided reproducible results. To avoid headspace (in order tominimize volatilization losses), the vials were filled up totheir capacity with Milli-Q water. As charcoal in such smallconcentrations suspended in water would hardly settledown during centrifugation, 0.32 ml of 1 M CaCl2-solutionwas added in order to support the flocculation. A final con-centration of 0.01 M CaCl2 was also chosen by otherauthors (Ahmad et al., 2001; Sander and Pignatello,2005). The vials were placed in the end-over-end shakeragain to equilibrate for 24 h. According to Braida et al.(2003), at low initial concentrations (8 lg ml�1), benzenesorption reached an equilibrium after eight days, butthe vast majority of benzene (>95%) was already sorbedwithin 24 h. For higher initial benzene concentrations(�1600 lg ml�1) the apparent equilibrium was shown tobe reached after 24 h. Kwon and Pignatello (2005) reportedthat maximum sorption of benzene on the charcoal alsoutilized by Braida et al. (2003) was achieved within 20 h.From these findings, together with observations that dieselsoot uptake of PAHs occurs within hours to one or twodays (Bucheli and Gustafsson, 2000) we concluded thatequilibration times of 24 h would be appropriate for ourpurposes. The samples were then centrifuged at 650 g fora duration of 10 min. Subsequently, 5 ml of the superna-tant were transferred to PTFE-lined extraction vials with15 ml capacity and extracted with 2 ml dichloromethane.Prior to extraction, propyl-benzene was added as an inter-nal standard. The extraction tubes were then shaken byhand vigorously and an aliquot of the solvent was trans-ferred into PTFE-lined GC-vials. Analysis of the extractswas performed on a PERKIN ELMER Auto System GasChromatograph equipped with a flame ionization detector(FID). The column was a DB-5 column with a length of30 m, an internal diameter of 0.25 mm and a film thicknessof 0.25 lm. The injection temperature was 200 �C with 1 llof sample injected. Helium was used as the carrier gas with

a constant pressure of 22 psi. The detector was heated to250 �C. The initial temperature of the oven was set to35 �C, held for 3 min, and then ramped to 80 �C with a rateof 5 �C min�1.

3. Results

3.1. Charcoal properties

Charcoals combusted at 250 �C and 450 �C exhibitedrelatively low surface areas as revealed by N2-BET surfacearea measurement, whereas the surface areas of the hightemperature treated charcoals (850 �C) were very high(Table 1). The Red Gum charcoals exhibited a much biggersurface area than the Phalaris charcoals at correspondingtemperatures. The ratio of the surface areas of the RedGum charcoals to the ones from Phalaris drops from 2 at250 �C to 1.7 and 1.6 at the higher combustion tempera-tures. For both materials the outstanding increase of thesurface areas (by almost 20 times) occurred between450 �C and 850 �C. This critical change was also docu-mented by the pore size distribution of R450 and R850.The total pore volume of the 850 �C material was higherby more than an order of magnitude than that for the450 �C material (Table 1). Furthermore, the fraction of themicropores (pores <2 nm), vmicro [mlliq g�1], revealed amicroporosity of �90% for the 850 �C material, whereasthe 450 �C material did not exceed a microporosity ofabout 17%. The diagram displaying the integral pore sizedistribution indicated a relatively wide range of porewidths, i.e. 0.5–300 nm, the steep slope at about about1.2 nm pore diameter indicating the large contribution ofthis pore size for the 450 �C material (Fig. 1). On the con-trary, the range of pore size distribution for the 850 �Cmaterial was very narrow (Yu et al., 2006). Here, the over-all dominating pore sizes ranged from only 0.4–1 nm, withinsignificant participation of pores with a diameter >10 nm(Fig. 1). Corresponding to the observed N2-BET surfaceareas, the pore size distribution illustrates the extraordi-nary increase of the inner surface area with decreasingdiameter of the pores.

The total cation content of the Phalaris charcoalsexceeds the one of the Red Gum charcoals by a factorgreater than four (Table 1). Differences in the cation con-tents of grass and wood are also documented in literature.Harmand et al. (2004) found a value of about 0.4% for thesum of calcium, magnesium and potassium in Red Gumwood (Eucalyptus camadulensis) from Cameroon. Consid-ering the low proportion of sodium contributing to thetotal cation content of our Red Gum charcoal (�2–5%),the findings of Harmand et al. (2004) are in line with ourdata (Table 1). For a Phalaris species harvested betweenJuly and October in Sweden, the sum of the four cationsalso determined in our study was reported to be about1.8% of the dry matter (Burval, 1997), and thus again ingood agreement with our data set (Table 1).

Page 87: Agricultural Applications for Pine-Based BioChar

0.00

0.10

0.20

0.30

0.1 1.0 10.0 100.0 1000.0d p [nm]

Vto

tal [

ml liq

g -1

] R

850

0.00

0.01

0.02

0.03

Vto

tal [

ml li

qg-1

] R

450

R850

R450

Fig. 1. Integral pore size distribution of the charred material. Total pore volumes (vtotal) of R850 (ordinate on the left) and R450 (ordinate on the right),plotted against the diameter of the pores (dp).

L.C. Bornemann et al. / Chemosphere 67 (2007) 1033–1042 1037

3.2. Influence of the combustion temperature on the

sorption process

Fundamental differences in the sorptive behaviour ofbenzene and toluene were found for the Red Gum materi-als treated at different temperatures. In Fig. 2, we plottedthe sorbed concentration of sorbate q [mg g�1] againstthe final concentration in aqueous solution Cf [mg ml�1]

1

10

100

1000

R250R450R850

a: Benzene

Cf [mg ml-1]

0.00 0.02 0.04 0.06 0.08 0.10 0.12 0.14

q [m

g g-1

]

1

10

100

1000

R250R450R850

b: Toluene

Fig. 2. Sorbed amount of sorbate q plotted against the final sorbateconcentration Cf. Single-sorbate sorption isotherms for (a) benzene and(b) toluene on R250, R450, and R850. Error bars represent standarddeviation of duplicate samples (n = 2). Symbols may cover error bars.

and found Langmuir-type sorption isotherms for R850,after the classification by Giles et al. (1960). Both, benzeneand toluene were sorbed by R850 to a much higher degreethan by the other materials. Comparing the respective coef-ficients of determination (R2) and especially the standarderrors of estimate (SEE), the isotherms from single andbi-sorbate experiments on R850 showed considerably bet-ter fits to the Langmuir than to the Freundlich equation(Table 2). The calculated maximum uptake (Smax) of eachsorbate in the bi-sorbate system was about half of the max-imum uptake in the single-sorbate systems, where benzeneand toluene were sorbed in comparable amounts (Table 2).

Sorption isotherms of R250 and R450 could successfullybe described with the model after Freundlich. For benzene,R250 and R450 exhibited a comparable sorption, whereastoluene expressed a slightly higher affinity to R450 com-pared to R250 (Fig. 2 a and b). In contrast to R850, thesorption of toluene on R450 and R250 was significantlyhigher than that of benzene (Fig. 3 a and b; Table 2).Whereas toluene was hardly affected by competition frombenzene, the benzene uptake even increased in combinationwith toluene on both materials.

3.3. Influence of the precursor material on the sorption

process

The apparent difference between the Phalaris- and RedGum-derived materials was the lower sorption capacityof P850 as compared to R850 (Table 2). For P850, the cal-culated maximum uptake after the Langmuir equationresulted in a value of Smax = 153 mg g�1, whereas the cor-responding value for the Red Gum charcoal was as large as

Page 88: Agricultural Applications for Pine-Based BioChar

Table 2Results of model fits to single and bi-sorbate isotherms

Char type Temperature (�C) Single-/bi-solute Sorbate Smaxa (mg g�1) KL

b (ml mg�1) R2c (–) SEE d (–) ne (–) KFf (mln mg1�n g�1) R2g (–) SEE h (–)

Phalaris 850 Single Benzene 153 ± 5.6 245 ± 91 0.99 0.05 0.41 ± 0.05 452.5 ± 1.5 0.86 0.24Redgum 850 Single Benzene 222 ± 3.0 491 ± 99 1.00 0.05 0.45 ± 0.06 981.7 ± 1.7 0.83 0.29Redgum 850 Single Toluene 236 ± 13.4 326 ± 121 0.97 0.03 0.39 ± 0.10 689.6 ± 2.2 0.60 0.38Redgum 850 Bi Benzene 114 ± 8.3 1367 ± 373 0.96 0.01 0.44 ± 0.07 979.0 ± 1.8 0.87 0.22Redgum 850 Bi Toluene 113 ± 1.2 8872 ± 2895 1.00 0.01 0.50 ± 0.18 7206.1 ± 7.7 0.51 0.37Redgum 450 Single Benzene – – – 0.51 ± 0.4 60.9 ± 1.2 0.96 0.07Redgum 450 Single Toluene – – – 0.50 ± 0.01 150.4 ± 1.1 1.00 0.03Redgum 450 Bi Benzene – – – 0.48 ± 0.04 69.2 ± 1.2 0.96 0.07Redgum 450 Bi Toluene – – – 0.47 ± 0.01 126.7 ± 1.1 0.99 0.04Phalaris 250 Single Benzene – – – 0.56 ± 0.03 56.6 ± 1.1 0.98 0.05Redgum 250 Single Benzene – – – 0.55 ± 0.04 63.1 ± 1.2 0.96 0.07Redgum 250 Single Toluene – – – 0.58 ± 0.03 126.3 ± 1.1 0.98 0.05Redgum 250 Bi Benzene – – – 0.56 ± 0.06 83.5 ± 1.3 0.92 0.10Redgum 250 Bi Toluene – – – 0.52 ± 0.04 110.3 ± 1.2 0.95 0.08

Number of observations is 22 for benzene and toluene on materials treated at 850 �C in single sorbate systems, 18 for all other systems.a Maximum sorbate uptake (Langmuir model).b Langmuir affinity coefficient.c Coefficient of determination (Langmuir model).d Standard error of estimate (Langmuir model).e Freundlich exponent.f Freundlich affinity coefficient.g Coefficient of determination (Freundlich model).h Standard error of estimate (Freundlich model).

1038L

.C.

Bo

rnem

an

net

al.

/C

hem

osp

here

67

(2

00

7)

10

33

–1

04

2

Page 89: Agricultural Applications for Pine-Based BioChar

Benzene single Toluene singleBenzene bi Toluene bi

C f [mg ml-1]0.0001 0.001 0.01 0.1

q [m

g g-1

]

1

10

1001

10

100a: R250

b: R450

Fig. 3. Sorbed amount of sorbate q plotted against the final sorbateconcentration Cf. Sorption isotherms for (a) single- and bi-sorbate systemsof benzene and toluene on R250, and (b) single- and bi-sorbate systems ofbenzene and toluene on R450. Error bars represent standard deviation ofduplicate samples (n = 2). Symbols may cover error bars (Freundlich-linearization).

L.C. Bornemann et al. / Chemosphere 67 (2007) 1033–1042 1039

Smax = 222 mg g�1. Similar observations were made for the250 �C materials. The Freundlich sorption coefficient (KF)for P250 showed reduced uptake of benzene compared toR250 (Table 2), however, the slopes indicated by the Fre-undlich exponent (n) were similar for both materials.

4. Discussion

4.1. Effect of the combustion temperature on sorption

properties of charcoal

Except for R850, surface areas of laboratory-producedcharcoals in published studies are generally comparablewith our data. The surface area of �600 m2 g�1and amicroporosity of �90% as observed for R850 exceeds themaximum values found in the literature. According to San-der and Pignatello (2005), N2-BET surface areas for typicalcharcoals ranged from 200–500 m2 g�1. However, litera-ture data (Nguyen et al., 2004; James et al., 2005) andour own results suggest that surface areas of charcoalsmay change considerably with varying combustion temper-atures and precursor materials. Surface areas and the porevolumes appear to escalate, and the pore size distributionshifts to a mostly microporous pattern above a critical tem-perature. According to Hellwig (1985), combustion temper-atures of 250 �C are only sufficient to cause the evolution ofvolatiles, whereas at temperatures as high as 450 �C thesoftening of the woody material is already initiated. Resultsof Haghseresht et al. (1999), who examined carbonaceous

adsorbents using 13C NMR, indicated that increased heattreatment results in enhanced contribution of aromaticstructures and an increase of amorphous carbon andmolecular disorder, thereby having impact on amountand size of micropores. Although the amount of microp-ores is still low, the maximum peak for the pore widthsof about 1.1 nm for the material combusted at 450 �C(Fig. 1) is displaying the beginning of micropore formation.

It is noteworthy that despite a significantly higher hydro-phobicity of toluene (benzene: KOW = 134.9; toluene:KOW = 498.8), the calculated maximum uptake (Smax) onR850 was in about the same order of magnitude for bothsorbates in the single-sorbate systems, as well as in the bi-sorbate system. Especially the results of the bi-sorbateexperiments are consistent with the theory of Chiou et al.(2000) and indicate the pore filling mechanism. Accordingto the assumption of an universal adsorbate for the pore fill-ing process, the amount of adsorbed benzene and tolueneshould be about the same when identical volumes of the sor-bates are added. Furthermore, the suppression of thesorbed amount of benzene and toluene from the respectivecompetitor in the bi-sorbate system compared to the single-sorbate system should be about 50% and almost identicalfor both sorbates, since the densities of benzene and tolueneare differing only slightly (benzene: 0.879 g ml�1; toluene:0.866 g ml�1). As seen in Table 2, the calculated maximumuptake for benzene and toluene in the bi-sorbate experimentwas indeed identical for each sorbate and about the half ofthe calculated capacities in the single-sorbate experiments.Considering that in the bi-sorbate system the two sorbateswere added in identical amounts, condensation of the sor-bates in the pores of this highly microporous material(Table 1) could explain the observed phenomenon. This isalso supported by studies of Zhu and Pignatello (2005),addressing pore filling as the most likely dominant processfor the sorption of aromatic compounds on such materials.In their study, the sorptive abilities of a charcoal frommaple wood shavings were compared with that of (non-por-ous) graphite as a model. The experiments displayed sizeexclusion effects on the charcoal for compounds exceedinga certain molecular size, and enhanced sorption on the char-coal compared to the graphite, despite a charcoal graphitepartition coefficient >1. By investigating the effect on poreblocking by lipids on the same material as used by Zhuand Pignatello (2005), Kwon and Pignatello (2005) showedthat benzene sorption is largely located in the interior porework. Still, essential differences are apparent between thematerial used by Zhu and Pignatello (2005) and the char-coals used in our study. The surface area of the maple woodcharcoal (400 m2 g�1) examined by Zhu and Pignatello(2005) was considerably lower than the one of our R850material (605 m2 g�1). Also the microporosity of our mate-rial (�90%, Table 1) exceeds the one of the char from maplewood shavings (�80%). The degree of non-linearity of thesorption process increases with increasing microporosity(after the Polanyi–Manes model), and might thus explainthat the isotherms for our R850 could be described by the

Page 90: Agricultural Applications for Pine-Based BioChar

1040 L.C. Bornemann et al. / Chemosphere 67 (2007) 1033–1042

Langmuir model, whereas the isotherms for the maplewood char showed better fit to a Freundlich sorption iso-therm. The sorption on charcoals produced at lower tem-perature in our study also fitted better to Freundlich model.

Kleineidam et al. (2002) investigated the sorption of dif-ferent low-polarity organic compounds on a series of carbo-naceous adsorbents, covering humic soil organic matter,thermally altered carbon materials, and purely engineeredmicroporous sorbents. Employing the PM-model combinedwith linear partitioning for sorbents containing humicmaterial, they were able to predict unique sorption iso-therms by employment of solubility normalized aqueousconcentrations. Their results suggest that the PM-model isthe most appropriate model for sorption processes onhighly porous materials. However, some concerns aboutpotential artefacts resulting from enhanced water adsorp-tion to functional groups of sorbents with varying hydro-philicity have been expressed (Li et al., 2005). Also recentresults by Yang et al. (2006) showed that gaps in the under-standing of the PM-model still exist. Their study revealed,that the molar volume alone (as employed e.g. by Sanderand Pignatello, 2005) in some cases may fail to be an appro-priate scaling factor in order to obtain matching isothermsof hydrophobic compounds with varying molecular sizes.Although the PM-model is increasingly used for modellingof sorption processes, our results among with those of otherresearchers (e.g. Xia and Ball, 2000) show that the classicalapproaches like the Freundlich model and the Langmuirmodel may still be adequate in some cases. These modelsare appropriate here, as the aim of our investigations wasto detect general differences in the sorptive properties ofvarious charcoals, rather than seeking a specific mechanismor an improvement in modelling of sorption isotherms.

The higher sorption of toluene in comparison with ben-zene on R250 and R450 (Fig. 3a and b; Table 2) is possiblydue to its higher hydrophobicity. However, toluene sorptionin single and bi-sorbate system was the same, showing nocompetitive effect. Sander and Pignatello (2005) examinedthe competitive sorption of benzene, toluene, and nitroben-zene on the charcoal mentioned above, which was also uti-lized by Zhu and Pignatello (2005). In their bi-sorbateexperiments, the amount of competitive sorbate was keptconstant while the concentration of the test sorbate chan-ged. From their resulting competitive sorption isotherms itcan be seen that competition effects were most pronouncedwhen the competitor solutes were added at high concentra-tions together with a low concentration of test sorbate.Competition effects diminished as the concentrations ofthe two competing sorbates converged. This explains thelack of significant competition effect from either sorbate inour bi-sorbate systems, as in our experiments both sorbateswere always added in equal concentrations.

In our bi-sorbate experiments, the sorption of benzene onR250 and R450 was even enhanced compared to the single-sorbate system (Fig. 3a and b; Table 2). The reasons for thisare unclear, but may be related to the ability of aromaticcompounds like benzene and toluene to cause the swelling

of charcoal particles. Jonker and Koelmans (2002) foundin their experiments that different solvents exhibited varyingabilities to extract PAHs from soot and sediments and pro-posed a two-step mechanism. According to them, the PAHsare being extracted by an initial swelling of the sorbentmatrix with a subsequent displacement of sorbates by sol-vent molecules. Among a selection of seven popular sol-vents, also comprising two mixtures of benzene and othersolvents, toluene was proven to be the best suited solventfor the extraction of PAHs from charcoal. Therefore, theenhanced sorption of benzene in the bi-sorbate systemsmay result from a toluene-induced swelling of the matrix,thereby opening up additional sorption sites for the smallerbenzene molecules and toluene itself being sterically hin-dered to penetrate by its larger molecular size. Braidaet al. (2003) proved that certain benzene concentrationswere able to induce the swelling of charcoal matrices,thereby increasing the sorption capacity and inducing sorp-tion hysteresis by pore deformation and solvent entrapment.

4.2. Influence of the precursor material on the sorption

process

The lower (�33%) sorption capacity of P850 comparedto R850 (Table 2) is ascribed to the physicochemical differ-ences between the respective materials. Although the expo-sure time to the heat treatment was already reduced due tothe more combustible nature of the grass, the charred grassappeared to be much more disaggregated compared to thewood charcoal. A more extensive combustion, resulting inthe loss of sorption active constituents may have resulted inthe reduced sorption capacity. James et al. (2005) foundthat surface area, pore volume, and microporosity arenot increasing endlessly with increasing combustion tem-peratures, and that softening temperatures are also depen-dent on the precursor material. In their study, a heatingtemperature of 820 �C resulted in drastically reduced sur-face areas and microporosity for a charcoal from Betula

pendula, compared to charcoal produced at a temperatureof 700 �C. For Auraucaria araucana, the softening temper-ature was already reached at 450 �C. Another explanationfor the reduced sorption capacities could be the overallhigher cation content in Phalaris grass compared to RedGum wood (Table 1). As the charcoal was weighed in asbulk, and was not corrected for its content of mineral con-stituents, a higher cation content reduces not only the pro-portion of highly sorptive BC in the bulk, but also increasesthe hydrophilic character of the whole sample. The latter istrue as these cations are present as salts, their hydrophiliccharacter hindering the sorption of hydrophobic compo-nents. Haghseresht et al. (1999) found that the content ofaromatic carbon in the precursor correlated with the con-tribution of amorphous carbon in the corresponding char-coal. A high amount of amorphous carbon results in anincreased abundance of sorption-active edge sites as wellas in an increased disorder, thereby supporting the forma-tion of micropores and increasing the sorption capacity

Page 91: Agricultural Applications for Pine-Based BioChar

Table of symbols

Cf final sorbate concentration (mg ml�1)Kd soil water partition coefficient (l kg�1)KF Freundlich affinity coefficient (mln

mg1�n g�1)KL Langmuir affinity coefficientn Freundlich exponentq sorbed amount of sorbate per mass of

L.C. Bornemann et al. / Chemosphere 67 (2007) 1033–1042 1041

(Haghseresht et al., 1999). The content of aromatic carbonin plant tissue is mainly governed by its lignin content. Thelignin content of hardwood (�35%) (Anderson and Till-mann, 1977) is considerably higher than the one forgrasses, with values ranking between �3% and �10% (But-ler and Bailey, 1973). We suggest that also the slightlylower sorption capacity of Phalaris charcoals is likely tobe the combined effect of their smaller surface area, stron-ger hydrophilic effects from mineral salts, and lower lignincontent.

sorbent (mg g�1)Smax maximum sorbate uptake (mg kg�1)

(Langmuir model)SW water solubility (mg l�1)V total volume (ml)vmicro volume of micropores (mlliq g�1)VP vapour pressure (mm HG at 20 �C)vtotal total pore volume (mlliq g�1)dp pore diameter (nm)DVads incremental amount of nitrogen absorbed

(mlliq g�1)Dr incremental width of slit pores (nm)

5. Conclusions

The results from the present studies demonstrated thatcharcoals prepared under different combustion tempera-tures exhibit substantially different physicochemical andthus also sorptive properties, especially if a critical ‘‘soften-ing temperature’’ is exceeded during combustion. For theobserved precursor materials, this critical temperaturewas within the scope of temperatures observed for wildfires(200–1000 �C) (Raison, 1979; Scott, 1989). The charcoalsderived from herbaceous material expressed basically com-parable sorptive patterns to wood charcoals. However,their mineral contents were higher, whereas the N2-surfaceareas and sorption capacities were lower than for the woodcharcoals. The observed highly non-linear sorption behav-iour of R850 and P850 showed better fits to Langmuir iso-therms than to Freundlich isotherms and was most likelyindicative of pore filling processes on the highly micropo-rous charcoal studied here. The surface area varied orderlywith increasing combustion temperature among theobserved charcoals and gave a good indication for thesorptive abilities of the charcoals. Also other parameterssuch as hydrophobicity and swelling of the sorbing matrixseemed to be important for sorption of aromatic hydrocar-bons, as indicated by the enhanced sorption of benzene onR250, R450, and P250 in the presence of toluene. Morework is needed to establish the effect of combustion condi-tions on the nature of charcoals and their subsequentimpact on sorption and desorption behaviour of organiccontaminants.

Acknowledgements

The measurement of pore size distributions was con-ducted by Dr. Alexander Badalyan (University of SouthAustralia), N2 BET-SSA and total cation contents weredetermined by Mr Lester Smith (CSIRO Australia). MsNatasha Waller (CSIRO) provided valuable technical assis-tance during these studies. The authors would like to thankDr. Sonja Brodowski (University of Bonn) and Dr. G.-G.Ying (CSIRO) for their comments on the manuscript. Lud-ger Bornemann was partially funded by the ‘‘Studienstif-tung des deutschen Volkes’’ while working on this projectat CSIRO laboratories in Adelaide.

Appendix A

References

Abelmann, K., Kleineidam, S., Knicker, H., Grathwohl, P., Kogel-Knabner, I., 2005. Sorption of HOC in soils with carbonaceouscontamination: influence of organic-matter composition. J. Plant Nutr.Soil Sci. 168, 293–306.

Accardi-Dey, A., Gschwend, P.M., 2003. Reinterpreting literature sorp-tion data considering both absorption into organic carbon andadsorption onto black carbon. Environ. Sci. Technol. 37, 99–106.

Ahmad, R., Kookana, R.S., Alston, A.M., Skjemstad, J.O., 2001. Thenature of soil organic matter affects sorption of pesticides: 1.Relationships with carbon chemistry as determined by 13C CPMASNMR spectroscopy. Environ. Sci. Technol. 35, 878–884.

Anderson, L.L., Tillmann, D.A., 1977. Fuels from Waste. Academic Press,London.

Badalyan, A., Pendleton, P., 2003. Analysis of uncertainties in manomet-ric gas-adsorption measurements. I: Propagation of uncertainties inBET analyses. Langmuir 19, 7919–7928.

Braida, W.J., Pignatello, J.J., Lu, Y., Ravikovitch, P.I., Neimark, A.v.,Xing, B., 2003. Sorption hysteresis of benzene in charcoal particles.Environ. Sci. Technol. 37, 409–417.

Brunauer, S., Emmett, P.H., Teller, E., 1938. Adsorption of gases inmultimolecular layers. J. Am. Chem. Soc. 60, 309–319.

Bucheli, T.D., Gustafsson, O., 2000. Quantification of the soot-waterdistribution coefficient of PAHs provides mechanistic basisfor enhanced sorption observations. Environ. Sci. Technol. 34, 5144–5151.

Burval, J., 1997. Influence of harvest time and soil type on fuel quality inreed canary grass (Phalaris arundiacea L.). Biomass Bioenergy 12,149–154.

Butler, G.W., Bailey, R.R., 1973. Chemistry and Biochemistry ofHerbage. Academic Press, London.

Chiou, C.T., Kile, D.E., Rutherford, D.W., Sheng, G., Boyd, S.A., 2000.Sorption of selected organic compounds from water to a peat soil andits humic and humin fractions: potential sources of the sorptionnonlinearity. Environ. Sci. Technol. 33, 1637–1644.

Giles, C.H., Mac Evan, T.H., Nakhwa, S.N., Smith, D., 1960. Studies inadsorption. Part XI. A system of classification of solution adsorptionisotherms, and its use in diagnosis of adsorption mechanisms and in

slit

Page 92: Agricultural Applications for Pine-Based BioChar

1042 L.C. Bornemann et al. / Chemosphere 67 (2007) 1033–1042

measurement of specific surface areas of solids. J. Chem. Soc. 3, 3973–3993.

Goldberg, E.D., 1985. Black Carbon in the Environment. J. Wiley & Sons,New York.

Gustafsson, O., Haghseta, F., Chan, C., Mac Farlane, J., Gschwend,P.M., 1997. Quantification of the dilute sedimentary soot phase:implications for PAH speciation and bioavailability. Environ. Sci.Technol. 31, 203–209.

Haghseresht, F., Lu, G.Q., Whittaker, A.K., 1999. Carbon structure andporosity of carbonaceous adsorbents in relation to their adsorptionproperties. Carbon 37, 1491–1497.

Harmand, J.-M., Njiti, J.F., Bernhard-Reversat, F., Puig, H., 2004.Aboveground and belowground biomass, productivity and nutrientaccumulation in tree improved fallows in the dry tropics of Cameroon.Forest Ecol. Manag. 188, 249–265.

Hellwig, G., 1985. Basics of the combustion of wood and straw. In: Palz,W., Coombs, J., Hall, D.O. (Eds.), Energy from Biomass. 3rd E.C.Conference. Elsevier Applied Science, London, pp. 793–798.

Horvath, G., Kawazoe, K., 1983. Method for the calculation of effectivepore size distribution in molecular sieve carbon. J. Chem. Eng. Jpn. 16,470–475.

James, G., Sabatini, D.A., Chiou, C.T., Rutherford, D., Scott, A.C.,Karapanagioti, H.K., 2005. Evaluating phenanthrene sorption onvarious wood chars. Water Res. 39, 549–558.

Jenkinson, D.S., 1990. The turnover of organic carbon and nitrogen insoil. Philos. Trans. Roy. Soc. London B 329, 361–368.

Jonker, M.T.O., Koelmans, A.A., 2002. Extraction of polycyclic aromatichydrocarbons from soot and sediment: solvent evaluation and impli-cations for sorption mechanism. Environ. Sci. Technol. 36, 4107–4113.

Karapanagioti, H.K., James, G., Sabatini, D.A., Kalaitzidis, S., Chri-stanis, K., Gustafsson, O., 2004. Evaluating charcoal presence insediments and its effect on phenanthrene sorption. Water, Air, SoilPoll. 4, 359–373.

Kleineidam, S., Schuth, C., Grathwohl, P., 2002. Solubility-normalizedcombined adsorption-partitioning sorption isotherms for organicpollutants. Environ. Sci. Technol. 36, 4689–4697.

Kwon, S., Pignatello, J.J., 2005. Effect of natural organic substances onthe surface and adsorptive properties of environmental black carbon(char): pseudo pore blockage by model lipid components and itsimplications for N2-probed surface properties of natural sorbents.Environ. Sci. Technol. 39, 7932–7939.

Li, L., Quinlivan, P.A., Knappe, D.R.U., 2005. Predicting adsorptionisotherms for aqueous organic micropollutants from activated carbonand pollutant properties. Environ. Sci. Technol. 39, 3393–3400.

Lohmann, R., Mac Farlane, J.K., Gschwend, P.M., 2005. Importance ofblack carbon to sorption of native PAHs, PCBs, and PCDDs in

Boston and New York harbour sediments. Environ. Sci. Technol. 39,141–148.

Manes, M., 1998. Activated carbon adsorption fundamentals. In: Meyers,R.A. (Ed.), Encyclopedia of Environmental Analysis and Remedia-tion. John Wiley, New York, pp. 6–68.

Nguyen, T.H., Brown, R.A., Ball, W.P., 2004. An evaluation of thermalresistance as a measure of black carbon content in diesel soot, woodchar, and sediment. Org. Geochem. 35, 217–234.

Patterson, W.A., Edwards, K.J., Maguire, D.J., 1987. Microscopiccharcoal as a fossil indicator of fire. Quat. Sci. Rev. 6, 3–23.

Raison, R.J., 1979. Modifications of the soil environment by vegetationfires: a review. Plant Soil 51, 73–108.

Sander, M., Pignatello, J.J., 2005. Characterization of charcoal adsorptionsites for aromatic compounds: insights drawn from single-solute andbi-solute competitive experiments. Environ. Sci. Technol. 39, 1606–1615.

Schmidt, M.W.I., Noack, A.G., 2000. Black carbon in soils and sediments:analysis, distribution, implications and current challenges. GlobalBiogeochem. Cycles 14, 777–793.

Scott, A.C., 1989. Observations on nature and origin of fusain. Int. J. CoalGeol. 12, 443–475.

Shafizadeh, F., 1984. The chemistry of pyrolysis and combustion. In:Rowell, R.M. (Ed.), The Chemistry of Solid Wood. Am. Chem. Soc.,Washington, DC, pp. 481–529.

Skjemstad, J.O., Clarke, P., Golchin, A., Oades, J.M., 1997. Character-ization of soil organic matter by solid-state 13C NMR Spectroscopy.In: Cadish, G., Giller, K.E. (Eds.), Driven by Nature: Plant LitterQuality and Decomposition. CAB International, Wallingford, UK, pp.53–271.

Smernik, R.J., Kookana, R.S., Skjemstad, J.O., 2006. NMR character-ization of 13C-benzene sorbed to natural and prepared charcoals.Environ. Sci. Technol. 40, 1764–1769.

Xia, G., Ball, W., 2000. Polanyi-based models for the sorption of low-polarity organic contaminants on a natural sorbent. Environ. Sci.Technol. 34, 1246–1253.

Yang, K., Zhu, L., Xing, B., 2006. Adsorption of polycyclic aromatichydrocarbons by carbon nanomaterials. Environ. Sci. Technol. 40,1855–1861.

Yu, X.Y., Ying, G.G., Kookana, R.S., 2006. Sorption and desorptionbehaviour of diuron in soil amended with charcoal. J. Agric. FoodChem. 54, 8545–8550.

Zhu, D., Pignatello, J.J., 2005. Characterization of aromatic compoundsorptive interactions with black carbon (charcoal) assisted by graphiteas a model. Environ. Sci. Technol. 39, 2033–2041.

Zhu, D., Kwon, S., Pignatello, J.J., 2005. Adsorption of single ringorganic compounds to wood charcoals prepared under differentthermochemical conditions. Environ. Sci. Technol. 39, 3990–3998.

Page 93: Agricultural Applications for Pine-Based BioChar

Sorption and Desorption Behaviors of Diuron in Soils Amendedwith Charcoal

XIANG-YANG YU,†,‡ GUANG-GUO YING,†,§ AND RAI S. KOOKANA* ,†

CSIRO Land and Water, Adelaide Laboratory, PMB 2, Glen Osmond 5064, South Australia,Australia; Food Safety Research Institute, Jiangsu Academy of Agricultural Sciences,

Nanjing 210014, China; and Guangzhou Institute of Geochemistry, Chinese Academy of Sciences,Guangzhou 510640, China

Charcoal derived from the partial combustion of vegetation is ubiquitous in soils and sediments andcan potentially sequester organic contaminants. To examine the role of charcoal in the sorption anddesorption behaviors of diuron pesticide in soil, synthetic charcoals were produced throughcarbonization of red gum (Eucalyptus spp.) wood chips at 450 and 850 °C (referred to as charcoalsBC450 and BC850, respectively, in this paper). Pore size distribution analyses revealed that BC850contained mainly micropores (pores ≈ 0.49 nm mean width), whereas BC450 was essentially not amicroporous material. Short-term equilibration (<24 h) tests were conducted to measure sorptionand desorption of diuron in a soil amended with various amounts of charcoals of both types. Thesorption coefficients, isotherm nonlinearity, and apparent sorption-desorption hysteresis markedlyincreased with increasing content of charcoal in the soil, more prominently in the case of BC850,presumably due to the presence of micropores and its relatively higher specific surface area. Thedegree of apparent sorption-desorption hystersis (hysteresis index) showed a good correlation withthe micropore volume of the charcoal-amended soils. This study indicates that the presence of smallamounts of charcoal produced at high temperatures (e.g., interior of wood logs during a fire) in soilcan have a marked effect on the release behavior of organic compounds. Mechanisms of this apparenthysteretic behavior need to be further investigated.

KEYWORDS: Diuron; sorption; desorption; soil; charcoal; carbonization; hysteresis

INTRODUCTION

Black carbon (e.g., soot and charcoal) produced from theincomplete combustion of vegetation and fossil fuel is ubiquitousin terrestrial and aquatic environments (1, 2). In addition todispersal through biomass and fossil fuel combustion in theenvironment, some agricultural practices may also contributeto the increasing amount of black carbon in agricultural soils.For example, it is an old practice in the eastern and southernparts of China to mix firewood ashes with soils and livestockdung followed by heating and aging for several months, beforethe mixture is added directly into the field as a fertilizer. Directburning of plant residues in the field after harvest for landclearing is common all over the world. Such agriculturalpractices will also provide direct input of black carbon intoagricultural soil (3-6). Terrestrial black carbon, being erosion-prone, is readily transported by wind and water and is oftendeposited into aquatic ecosystems. Black carbon has been foundto make a significant proportion of soils and sediments: 15-

30% of total organic matter in marine sediments (7) and 12-31% of deep-sea sediments (8), 18-41% of the soils andsediments collected from the suburban area of Guangzhou,China (9), up to 30% of soils collected around Australia (4,10), and up to 45% of total organic carbon (TOC) in soilscollected from Germany (11).

It has been well recognized that the presence of charcoal insoil could not only enhance the sorption of organic contaminantssuch as pesticides (12) but also influence the nature of thesorption mechanism (13). Research in recent years (14) hasshown that the residues produced from burning wheat and ricewere 400-2500 times more effective than soil in sorbing diuronover the concentration range of 0-6 mg/L in water. However,the effect of these amendments on the desorption behavior ofdiuron was not investigated in that study.

The nature and properties of black carbon are stronglyaffected by the nature of parent materials (wood, grass) andthe temperature experienced during combustion (2, 15). Char-coals formed from lignocellulosic materials under conditionsof pyrolysis become increasingly carbonized as temperaturesrise above 500°C and are completely carbonized as temperaturesapproach 1000°C (15). Under relatively high pyrolysis tem-peratures (500-700 °C), the charcoal derived from wheat was

* Corresponding author (e-mail [email protected]; fax+61 883038565).

† CSIRO Land and Water.‡ Jiangsu Academy of Agricultural Sciences.§ Chinese Academy of Sciences.

J. Agric. Food Chem. 2006, 54, 8545−8550 8545

10.1021/jf061354y CCC: $33.50 © 2006 American Chemical SocietyPublished on Web 10/11/2006

Dow

nloa

ded

by U

NIV

OF

GE

OR

GIA

on

Aug

ust 4

, 200

9Pu

blis

hed

on O

ctob

er 1

1, 2

006

on h

ttp://

pubs

.acs

.org

| do

i: 10

.102

1/jf

0613

54y

Page 94: Agricultural Applications for Pine-Based BioChar

found to be well carbonized and had a relatively high surfacearea and low oxygen content (16). Such chars have been reportedto show high affinity for organic compounds (16, 17), especiallyfor polar solutes (16).

Despite the fact that the environmental fate and impact ofcontaminants (bioaccessibility, bioavailability, and toxicologicalimpact) are strongly influenced by their desorption behavior(18-21), the effect of black carbon on the desorption behaviorof compounds has so far received limited attention. Braida etal. (22) observed pronounced hysteresis in the sorption ofbenzene in water to pure-form maple-wood charcoal preparedby oxygen-limited pyrolysis. Here they found that the sorptionof wood charcoal was highly irreversible and proposed thathysteresis was due to pore deformation of charcoal duringdesorption of the sorbate, leading to entrapment of moleculesas the polyaromatic scaffolding collapsed during desorption.

The objective of this study was to assess the effect of thepresence of small amounts of charcoal materials (prepared fromeucalyptus wood at two different temperatures of 450 and850 °C) in soil on the sorption-desorption behaviors of pesti-cides in soil. Sorption and desorption behaviors were investi-gated to assess the role of the types and amounts of charcoal assorbent for pesticides (represented by diuron as a model nonionicpesticide) in soils amended with various amounts of charcoals.

EXPERIMENTAL PROCEDURES

Chemicals.Diuron [N-(3,4-dichlorophenyl)-N,N-dimethyl urea, withpurity >99%] was obtained from Sigma-Aldrich (Sydney, Australia).Diuron is a nonionic urea herbicide with a very wide use globally.The herbicide is nonvolatile (vapor pressure is 1.1× 10-3 mPa at25 °C), has a water solubility of 36.4 mg/L, and is stable in neutralmedia. Its reported average soil half-life is in the range of 90-180days (23). Sodium azide was obtained from Fluka (Sydney, Australia).Calcium chloride of analytical grade and all solvents of HPLC gradewere obtained from Merck Pty. Ltd. (Victoria, Australia). A stocksolution of 100 mg/L of diuron was prepared in methanol.

Charcoal, Soil, and Sorbent.Charcoals were prepared from redgum wood (Eucalyptusspp.), at two different temperatures, namely,450 and 850°C (BC450 and BC850, respectively). Red gum woodchipswere air-dried at 40°C, and pieces of<5 mm were hand picked forthe carbonization process. The woodchips were placed in porcelaincrucibles with lids in a temperature-programmable muffle furnace(S.E.M., Australia). The temperature of the furnace was ramped to thedefined temperature (450 or 850°C) and held for 2 h for BC450 andfor only 1 h for BC850. The prepared black carbon materials wereground to a fine powder on a disk-rotating mill for 3 min.

The specific surface areas (SSA) of the two charcoals were evaluatedusing the Brunauer, Emmett, and Teller (BET) nitrogen adsorption tech-nique (24) at 77 K, using an automated manometric gas adsorptionapparatus (25) and ultrahigh-purity gaseous nitrogen (99.999%, fromBOC Gases). The details of the method and uncertainties associatedwith the measurement have been published elsewhere (25). Outgassingof the charcoal was carried out at 300°C for 8 h at abackgroundvacuum of 1× 10-4 Pa, similar to that used for charcoal samples byBraida et al. (22). For the pore volume evaluation, we employedRS-plot analysis, where the adsorption properties of a porous solid arecompared with those of a nonporous standard material exhibiting surfacechemistry similar to that of the test sample (25). Moisture content wasdetermined by comparison of sample mass before and after evacuationat 300°C.

We classified pore width (dp) according to the International Unionof Pure and Applied Chemistry (IUPAC) recommendations as fol-lows: micropores,dp < 2 nm; mesopores, 2< dp < 50 nm; and macro-pores,dp > 50 nm. Pores smaller than 2 nm were analyzed using theHorvath-Kawazoe (H-K) method (26). This method calculates theeffective micropore size distribution of slit-shape pores using the datafrom adsorption isotherms. Using the H-K equation we calculated theeffective mean width of slit pores (dp) and correlated it with the

value of∆Vads/∆rslit, where∆Vadsis the incremental amount of nitrogenadsorbed (converted to condensed liquid volume of nitrogen) and∆rslit

is the corresponding incremental width of slit pores. The individualand cumulative frequencies were calculated for a range ofdp data. Otherproperties of these chars as characterized using NMR techniques havebeen published elsewhere (27).

The soil used in this experiment was collected from the RoseworthyCampus, University of Adelaide, and was amended with charcoal. Afterair-drying, the soil was passed through a 2 mmsieve. This soil contained87.8% sand, 1.3% silt, 8.3% clay, and 1.4% organic matter and is ofsandy loam texture. The soil pH value was 6.8 in a 1:5 (soil/water)soil suspension and had a maximum water-holding capacity of 34.2%(v/v) and a cation exchange capacity of 9.3 cmol(+)/kg. The soil wassterilized by autoclaving at 120°C under 300 kPa chamber pressurefor 30 min three times within 3 days.

Charcoal-amended soils used in the experiment were prepared bymixing the above soil and the two types of charcoal at different ratios.The percentages of charcoal materials in the amended soils were 0,0.1, 0.5, 1.0, 2.0, and 5.0% (w/w) for BC450 and 0, 0.1, 0.2, 0.5, 0.8,and 1.0% (w/w) for BC850. The charcoal-amended soils were thor-oughly mixed on a rotary shaker for 7 days before their use as sorbentsfor sorption and desorption experiments.

Sorption and Desorption Isotherms. Diuron sorption by thesorbents was measured by the batch equilibration technique. Preliminarykinetic experiments showed sorption and desorption of diuron incharcoal-amended soils reached an apparent equilibrium within 24 h.Although sorption is known to continue for days at a very slow rate,for the comparative assessment between different chars under similarconditions, the 24 h shaking time was deemed to be adequate for thepurposes of this study. The sorbents were suspended in 10 mL of 0.01M CaCl2 solutions (containing 0.5% NaN3 to inhibit microbial activity)spiked at concentrations from 1 to 27 mg/L of diuron. The amounts ofcharcoal-amended soil used in the experiments were adjusted to allowfor 30-80% of the added chemical to be sorbed at equilibrium. Onthe basis of our preliminary experiments, for BC450-amended soil analiquot of 1.0 g of soil was used for 0, 0.1, 0.5, 1.0, and 2.0% and only0.2 g of soil for 5.0%. For BC850-amended soils, an aliquot of 0.5 gof soil was used for 0.1 and 0.2% and only 0.2 g for 0.5, 0.8, and1.0% amendment. The suspensions were shaken on a rotary shaker atroom temperature (22( 2 °C) at 120 rpm for 24 h and then centrifugedat 4000 rpm for 60 min. After centrifugation, an aliquot of the super-natant in each tube was taken out and analyzed directly by high-performance liquid chromatography (HPLC).

Each sorption test was carried out in triplicate. Losses during thetest were monitored by including two blank controls in each test: onetube that had only a chemical solution without any sorbent and theother control tube that had only the sorbent and CaCl2 solution withoutchemical. Tests showed losses due to adsorption to glassware anddegradation were negligible, and no interferences were found duringthe analysis of solutions. This is consistent with previous studies andthe nature of the chemical (persistent and nonvolatile).

Desorption experiments were conducted for those samples with thehighest sorption loading. After 24 h of equilibration, the tubes werecentrifuged and 5 mL of the supernatant in each tube was taken outfor analysis. Another 5 mL of 0.01 M CaCl2 (including 0.5% NaN3)was added into each tube, and the tubes were shaken for 24 h again.The desorption process was repeated three more times for each tube.All tests were performed in triplicate.

Pesticide Analysis.Analysis of diuron in the supernatant fractionfrom sorption and desorption experiments was carried out on an Agilent1100 series high-performance liquid chromatograph (HPLC) fitted witha diode array detector and an SGE C18 RS column (250× 4.6 mm,5 µm). Acetonitrile (ACN) and water were used as the mobile phase,which was programmed from 36% ACN at 0 min to 80% ACN at 6 minat a flow rate of 1 mL/min. The UV wavelength for detection of diuronwas 248 nm. The detection limit for diuron was 0.03 mg/L.

Data Analysis. The sorption and desorption isotherms were fittedwith the linear form of the Freundlich equation

log Cs ) log Kf + N log Cw

8546 J. Agric. Food Chem., Vol. 54, No. 22, 2006 Yu et al.

Dow

nloa

ded

by U

NIV

OF

GE

OR

GIA

on

Aug

ust 4

, 200

9Pu

blis

hed

on O

ctob

er 1

1, 2

006

on h

ttp://

pubs

.acs

.org

| do

i: 10

.102

1/jf

0613

54y

Page 95: Agricultural Applications for Pine-Based BioChar

whereCw is the concentration of the chemical in solution,Cs is theconcentration of the chemical in the sorbent,Kf is the Freundlichsorption coefficient, andN is the exponent indicative of sorptionmechanism. The sorption-desorption apparent hysteresis index (H) wasdetermined by the equation (28)

where N and Nd are the Freundlich exponents calculated from thesorption and desorption isotherms, respectively.

RESULTS AND DISCUSSION

Characteristics of Charcoals.Upon carbonization at 450and 850°C, 100 g of red gum chips produced about 36.1 and28.8 g of charred materials, respectively. These are relativelyhigher yields of charcoal than those derived from burning cropresidues (29). The color was gray to black for the BC850,whereas for BC450 it was a little brown to black. The relativelylower mass that remained under higher burning temperatureindicates that BC850 is carbonized to a greater degree thanBC450. The higher mass recovery of red gum chip-derivedcharcoal is believed to be due to the more condensed structureof wood chips than that of crop residues.

For the charcoal BC450, the shape of the nitrogen adsorptionisotherm was similar to that for nonporous materials (Figure1A), suggesting a negligibly small micropore volume (30). Incontrast, the BC850 is a microporous material with a highspecific surface area. The initial steep portion of the adsorptionisotherm for BC850 is indicative of the presence of microporesin the charcoal material (30).

The SSA for BC850 was much higher than that of charcoalBC450 (Table 1) and also higher than wheat-residue-derivedchars, the highest SSA of which was reported to be 438 m2/g(charred at 600°C) (16). Chun et al. (16) also found char surfacearea to increase with increasing charring temperatures (300-600 °C); however, SSA measurement of char produced at700°C was lower than that of char produced at 600°C, whichthey speculated to be due to microporous structures which weredestroyed at 700°C.

Charcoal BC450 has a very low level of microporosity (peakmaxima occurred at a pore width of about 1.1 nm) (Figure 2).This may indicate the beginning of micropore formation at450 °C. Increasing the preparation temperature, as in the caseof charcoal BC850, clearly promoted the formation of micro-pores with the maximum peak occurring for pore widths of about0.49 nm and essentially all pores<1 nm in pore width.

From the pore volume values listed inTable 1, we regardcharcoal BC450 as a non-microporous material. Therefore, thelower temperature (450°C) used for the preparation of charcoalmaterials did not lead to the formation of microporous structure.In contrast, charcoal BC850 is predominantly a microporousmaterial with about 89.6% of volume from micropores (in termsof specific micropore volume). It is customary to express thetotal specific pore volume (V total

pore) of an adsorbent as the liquidvolume adsorbed at a certain value of relative pressure (P/P0

) 0.95) (31). The gaseous nitrogen volume adsorbed at thisvalue of relative pressure was converted into a liquid volumeof nitrogen. For mixed-pore materials, the mesopore volume isdetermined as the difference between the total specific porevolume and total specific micropore volume.

Sorption-Desorption Isotherms and Their Nonlinearity.The presence of charcoal in the soil caused the sorption iso-therms to change progressively into highly nonlinear, concave-downward-shaped isotherms (Figures 3and4). Most of the dataon sorption and desorption isotherms fitted well to the Freund-

lich equation (Table 2); however, at the highest level of charcoalamendment, the fit was noted to be relatively poor in both typesof chars. Instead, the data showed a much better fit to theLangmuir model in these cases. The increasing Freundlichsorption coefficientKf values and decreasingN values withcharcoal content in soil (Table 2) show that the sorption capacityof diuron on charcoal-amended soils gradually increased withincreasing content of charcoal in soil. TheN values decreasedfrom 0.83 to 0.25 and 0.16, respectively, for BC450 and BC850,

Figure 1. Nitrogen adsorption/desorption isotherm for (A) BC450 and(B) BC850.

Table 1. Characteristics of Black Carbon Materialsa

BCburningtemp(°C) abbrev

SSA(m2/g)

moisturecontent

(%)V total

micro

[mL (liq)/g]V total

pore

[mL (liq)/g]

450 BC450 27.330.035 11.7 0.00374 ± 0.00004 0.02219 ± 0.00004850 BC850 566.390.31 9.9 0.2469 ± 0.0039 0.2757 ± 0.0015

a V totalmicro ) volume of total specific microspore; V total

pore ) volume of specificmicrospore and total specific pore.

H ) N/Nd

Sorption/Desorption of Diuron in Charcoal-Amended Soils J. Agric. Food Chem., Vol. 54, No. 22, 2006 8547

Dow

nloa

ded

by U

NIV

OF

GE

OR

GIA

on

Aug

ust 4

, 200

9Pu

blis

hed

on O

ctob

er 1

1, 2

006

on h

ttp://

pubs

.acs

.org

| do

i: 10

.102

1/jf

0613

54y

Page 96: Agricultural Applications for Pine-Based BioChar

as the amount of charcoal in soil increased from 0.1 to 5.0% ofBC450 and to 1.0% of BC850 (Table 2).

Highly nonlinear sorption isotherms and high sorption capac-ity for organic compounds on sorbents (e.g., soils and sediments)containing black carbon have been observed in a number ofstudies (e.g., refs32-35). Soil organic carbon has commonlybeen hypothesized to consist of an amorphous phase and acondensed phase of organic carbon (36, 37), which are consid-ered to be responsible for partitioning and sorption, respectively.Depending upon the relative contents of the two phases oforganic carbon, sorption by soils and sediments could rangefrom linear partitioning to highly nonlinear sorption (34, 38,39).

Due to the highly nonlinear nature of isotherms, a comparisonof sorption affinities among the charcoal-amended soils needsto be calculated for a specific solution concentration [e.g.,Cw

of 1 mg/L, whereKf ) Kd(Cs/Cw)]. On this basis the sorptioncapacities of the charcoal amended soil were 7-80 times forBC450 and 5-125 times for BC850 in comparison to that ofcharcoal-free soil (Table 2). The sorption contribution of evensmall additions of charcoals to the soil (0.5% of BC450 and0.1% of BC850) was very high indeed (>85%), assuming nochange in inherent sorption capacity of soil. This shows thatthe presence of even small amounts of highly carbonaceousblack carbon (charcoal, soot, or other carbonaceous materials)can dominate sorption of an organic compound in soils andsediments.

Desorption Behavior and the Role of Microporosity.Sorp-tion and desorption isotherms were compared to assess the

Figure 2. Pore size distribution for (A) BC450 and (B) BC850. Using theHorvath−Kawazoe (H−K) method (26), we calculated the effective meanwidth of slit pores, dp, and plotted against the value of ∆Vads/∆rslit, where∆Vads is the incremental amount of nitrogen adsorbed (converted tocondensed liquid volume) and ∆rslit is the corresponding incremental widthof slit pores.

Figure 3. Influence of BC450 on sorption and desorption of diuron insoil. (Inset) Sorption−desorption on unamended soil and on 0.1% BC450.

Figure 4. Influence of BC850 on sorption and desorption of diuron insoil. (Inset) Sorption−desorption on unamended soil and on 0.1% BC850.

Table 2. Freundlich Constants for the Sorption (Kf, N) and Desorption(Kfd, Nd) of Diuron on Soil Amended with Charcoal and the CalculatedHysteresis Index (H)

charcoal

content ofcharcoal in

soil (%) Kf N R 2 Kfd Nd R 2 H

original soil 4.08 0.83 0.9974 5.40 0.73 0.9975 1.14

BC450 0.1 4.47 0.82 0.9994 11.1 0.48 0.9944 1.690.5 28.0 0.45 0.9983 47.5 0.23 0.9990 1.931.0 514 0.37 0.9979 78.6 0.21 0.9977 1.792.0 109 0.34 0.9958 168 0.12 0.9772 2.875.0 314 0.25 0.9980 427 0.10 0.8784 2.37

BC850 0.1 25.3 0.37 0.9979 39.5 0.28 0.9958 1.320.2 72.8 0.32 0.9911 138 0.09 0.9926 3.540.5 224 0.22 0.9875 371 0.04 0.9990 5.140.8 350 0.21 0.9928 576 0.02 0.9004 9.751.0 500 0.16 0.9249 727 0.01 0.8194 14.92

8548 J. Agric. Food Chem., Vol. 54, No. 22, 2006 Yu et al.

Dow

nloa

ded

by U

NIV

OF

GE

OR

GIA

on

Aug

ust 4

, 200

9Pu

blis

hed

on O

ctob

er 1

1, 2

006

on h

ttp://

pubs

.acs

.org

| do

i: 10

.102

1/jf

0613

54y

Page 97: Agricultural Applications for Pine-Based BioChar

degree of reversibility of sorption reaction. Due to the shortequilibration time (24 h) employed here, it is not appropriateto refer to the discrepancy between the sorption and desorptionflanks of the isotherms as true hysteresis. This is because thesorption kinetics may have been slow and the sorption reactionmay have continued beyond the point in time when the desorp-tion part of experiment was initiated. Nevertheless, a comparisonof these isotherms does provide an assessment of the impact ofthe nature of sorbate on the desorption behavior of diuron orlack of it. For the purposes of this study, by hysteresis we mean“apparent hysteresis”.

The highly nonlinear sorption isotherm and relatively flatdesorption isotherm inFigures 3and4 provide visual evidenceof apparent sorption-desorption hysteresis on the charcoal-amended soils. We calculated the hysteresis index (H), definedas theN/Nd ratio (28), to quantify the degree of apparent hys-teresis. TheH values for all of the sorbents are listed inTable2. For the original soil sample theH value was 1.14, indicatingminimal desorption hysteresis. As the content of charcoal inthe soil increased, the value ofH also increased. For the soilsamended with charcoal BC850, theH values increased rapidlyfrom 1.32 for the soil with 0.1% of charcoal to 14.92 for 1.0%of charcoal. For the soils amended with charcoal BC450 theH value also progressively increased but at a slower rate. Theresults showed that besides the high sorption capacity, charcoalproduced under higher temperature either had stronger sorptionor provided domains for diffusion of sorbate into micropores.In this way the more microporous structure may lead to effectivesequestration of a compound. This is consistent with the studiesreporting poor bioavailability and bioaccessibility of organiccompounds sorbed on black carbon materials (40, 41).

Comparison of the results for the two types of charcoalmaterials also revealed that although the sorption capacity of asoil could be enhanced to the same level by adding differentialamounts of chars (0.8% BC850 vs 5% BC450), the degree ofreversibility was quite different between the two charcoals. Inthe present study, the discrepancy between sorption and de-sorption isotherms at comparable levels of sorption (e.g., 0.8%BC850 vs 5% BC450,Table 2) was clearly much moreprominent in the case of charcoal BC850.

To assess if a link between the microporosity and apparentdesorption hysteresis exists, we plotted the values of the totalpore volume for each sorbent calculated from theV total

pore valueand the content of charcoal material in the soil against theapparent hysteresis index (H) in Figure 5. Here, we assumedthat the soil free of charcoal is a nonporous material and thatthe pore volume of the charcoal-amended soils was mainlyprovided by the added charcoal.Figure 5 shows a good rela-tionship between these two parameters; theH index increasedexponentially (y ) 1.582 e0.008x, R2 ) 0.8982) as the total porevolume of the sorbent increased. A smaller increase inH valueat lower pore volume is essentially associated with the presenceof charcoal BC450 and only small amounts of BC850. This isbecause charcoal BC450 had a negligible proportion of micro-pores, whereas in BC850 essentially all pores existed as micro-pores of<1 nm width. These micropores either entrapoed thesorbed molecules of diuron or caused a slow and prolongedsorption phase, which may have led to the apparent hysteresisdue to nonequilibrium processes. Braida et al. (22) noted swell-ing of a sorbent during benzene sorption and suggested poredeformation during desorption causing desorption hysteresis.It has also been suggested in other studies that surface-specificadsorption, entrapment into micropores, and partitioning into

condensed structures of soil organic matter are among the maincauses of chemical sequestration (35-37, 42-45).

Conclusions.This study showed that the presence of smallamounts of black carbon in the form of charcoals in soil,especially those produced at high temperatures (e.g., interiorof wood logs during a fire), can have a major effect on thesorption and desorption behaviors of organic compounds suchas the diuron pesticide. The marked effect on the desorption ofhighly carbonaceous materials such as charcoal produced at hightemperatures is expected to have strong implications for thebioavailability of such compounds in terrestrial and aquaticecosystems. The role of such carbonaceous materials onsorption-desorption kinetics and bioavailability needs to befurther investigated.

ACKNOWLEDGMENT

We acknowledge the contributions by Drs. Phillip Pendletonand Alexander Badalyan (University of South Australia) inmeasuring pore size distribution; Jan Skjemstad and EvelynKrull (CSIRO) for advice and comments on synthetic charproduction; Tasha Waller and Sonia Grocke (CSIRO) fortechnical support; and Dr. Ron Smernik (University of Adelaide)for helpful comments on the manuscript.

LITERATURE CITED

(1) Goldberg, E. D.Black Carbon in the EnVironment; Wiley: NewYork, 1985.

(2) Schmidt, M. W. I.; Noack, A. G. Black carbon in soils andsediments: analysis, distribution, implication, and challenges.Global Biogeochem. Cycles2000, 14, 777-793.

(3) Schmidt, M. W. I.; Knicker, H.; Hatcher, P. G.; Ko¨gel-Knabner,I. Impact of brown coal dust on the organic matter in particle-size fractions of a Mollisol.Org. Geochem. 1996, 25, 29-39.

(4) Skjemstad, J. O.; Clarke, P.; Taylor, J. A.; Oades, J. M.; McClure;S. G. The chemistry and nature of protected carbon in soil.Aust.J. Soil Res. 1996, 34, 251-271.

Figure 5. Relationship between total pore volume and apparent hysteresisindex (H).

Sorption/Desorption of Diuron in Charcoal-Amended Soils J. Agric. Food Chem., Vol. 54, No. 22, 2006 8549

Dow

nloa

ded

by U

NIV

OF

GE

OR

GIA

on

Aug

ust 4

, 200

9Pu

blis

hed

on O

ctob

er 1

1, 2

006

on h

ttp://

pubs

.acs

.org

| do

i: 10

.102

1/jf

0613

54y

Page 98: Agricultural Applications for Pine-Based BioChar

(5) Guo, L. P.; Erda, L. Carbon sink in cropland soils and theemission of greenhouse gases from paddy soils: a review ofwork in China. Chemosphere: Global Change Sci. 2001, 3,413-418.

(6) Young, R.; Wilson, B. R.; Mcleod, M.; Alston, C. Carbon storagein the soils and vegetation of contrasting land uses in northernNew South Wales, Australia.Aust. J. Soil Res.2005, 43, 21-31.

(7) Middelburg, J. J.; Nieuwenhuize, J.; Breugel, P. V. Black carbonin Marine sediment.Mar. Chem.1999, 65, 245-252.

(8) Masiello, C. A.; Druffel, E. R. M. Black carbon in deep-seasediments.Science1998, 280, 1911-1913.

(9) Song, J. Z.; Peng, P. A.; Huang, W. L. Black carbon and kerogenin soils and sediments: 1. Quantification and characterization.EnViron. Sci. Technol. 2002, 36, 3960-3967.

(10) Schmidt, M. W. I.; Skjemstad, J. O.; Czimczik, C. I.; Glaser,B.; Prentice, K. M.; Gelinas, Y.; Kuhlbusch, T. A. J. Comparativeanalysis of black carbon in soils.Global Biogeochem. Cycles2001, 15, 163-167.

(11) Schmidt, M. W. I.; Skjemstad, J. O.; Gehrt, E.; Ko¨gel-Knabner,I. Charred organic carbon in German chernozemic soils.Eur. J.Soil Sci. 1999, 50, 351-365.

(12) Hilton, H. W.; Yuen, Q. H. Adsorption of several pre-emergenceherbicides by Hawaiian sugar cane soils.J. Agric. Food Chem.1963, 11, 230-234.

(13) Yamane, V. K.; Green, R. E. Adsorption of ametryn and atrazineon an oxisol, montmorillonite and charcoal in relation to pH andsolubility effects.Soil Sci. Soc. Am. Proc. 1972, 36, 58-64.

(14) Yang, Y. N.; Sheng, G. Y. Enhanced pesticide sorption by soilscontaining particulate matter from crop residue burns.EnViron.Sci. Technol. 2003, 37, 3635-3639.

(15) Allen-King, R. M.; Grathwohl, P.; Ball, W. P. New modelingparadigms for the sorption of hydrophobic organic chemicals toheterogeneous carbonaceous matter in soils, sediments and rocks.AdV. Water Resour.2002, 25, 985-1016.

(16) Chun, Y.; Sheng, G. Y.; Chiou, C. T.; Xing, B. S. Compositionsand sorptive properties of crop residue-derived chars.EnViron.Sci. Technol. 2004, 38, 4649-4655.

(17) Sheng, G. Y.; Yang, Y. N.; Huang, M. S.; Yang, K. Influenceof pH on pesticide sorption by soil containing wheat residue-derived char.EnViron. Pollut. 2005, 134, 457-463.

(18) Alexander, M. How toxic are toxic chemicals in soil?EnViron.Sci. Technol. 1995, 29, 2713-2717.

(19) Nam, K.; Alexander, M. Role of nanoporosity and hydrophobicityin sequestration and bioavailability: tests with model solids.EnViron. Sci. Technol. 1998, 32, 71-74.

(20) Huang, W. L.; Yu, H.; Weber, Jr., W. J. Hysteresis in the sorptionand desorption of hydrophobic organic contaminants by soilsand sediments. 1. A comparative analysis of experimentalprotocols.J. Contam. Hydrol. 1998, 31, 129-148.

(21) Kan, A. T.; Fu, G.; Hunter, M.; Chen, W.; Ward, C. H.; Tomson,M. B. Irreversible sorption of neutral hydrocarbons to sedi-ments: experimental observations and model predictions.EnVi-ron. Sci. Technol. 1998, 32, 892-902.

(22) Braida, W. J.; Pignatello, J. J.; Lu, Y.; Ravikovitch, P. I.,Naimark, A. V.; Xing, B. Sorption hysteresis of benezene incharcoal particles.EnViron. Sci. Technol. 2003, 37, 409-417.

(23) Tomlin, C. D. S.The Pesticide Manual, 12th ed.; British CropProtection Council: Surrey, U.K., 2000.

(24) Brunauer, S.; Emmett, P. H.; Teller, J. Adsorption of gases inmultimolecular layers,J. Am. Chem. Soc. 1938, 60, 309-319.

(25) Badalyan, A.; Pendleton, P. Analysis of uncertainties in mano-metric gas-adsorption measurements. I: Propagation of uncer-tainties in BETAnalyses.Langmuir2003, 19, 7919-7928.

(26) Horvath, G.; Kawazoe, K. Method for the calculation of effectivepore size distribution in molecular sieve carbon.J. Chem. Eng.Jpn.1983, 16, 470-475.

(27) Smernik, R. J.; Kookana, R. S.; Skjemstad, J. O. NMRcharacterization of13C-benzene sorbed to natural and preparedcharcoals.EnViron. Sci. Technol.2006, 40, 1764-1769.

(28) Sanchez-Camazano, M.; Sanchez-Martin, M. J.; Rodriguez-Cruz,M. S. Sodium dodecyl sulphate-enhanced desorption of atra-zine: effect of surfactant concentration and of organic mattercontent of soils.Chemosphere2000, 41, 1301-1305.

(29) Yang, Y. N.; Sheng, G. Y. Pesticide adsorptivity of agedparticulate matter arising from crop residue burns.J. Agric. FoodChem.2003, 51, 5047-5051.

(30) Gregg, S. J.; Sing, K. S. W.Adsorption, Surface Area andPorosity; Academic Press: London, U.K., 1982.

(31) Rouquerol, F.; Rouquerol, J.; Sing, K.Adsorption by Powdersand Porous Solids; Academic Press: San Diego, CA, 1999.

(32) Kleineidam, S.; Schu¨th, C.; Ligouis, B.; Grathwohl, P. Organicmatter facies and equilibrium sorption of phenanthrene.EnViron.Sci. Technol.1999, 33, 1637-1644.

(33) Accardi-Dey, A.; Gschwend, P. M. Reinterpreting literaturesorption data considering both absorption into organic carbonand adsorption onto black carbon.EnViron. Sci. Technol. 2003,37, 99-106.

(34) Cornelissen, G.; Gustafson, O. Sorption of phenanthrene to envi-ronmental black carbon in sediment with and without organicmatter and native sorbates.EnViron. Sci. Technol.2004, 38, 148-155.

(35) Huang, W. L.; Peng, P. A.; Yu, Z. Q.; Fu, J. M. Effects of organicmatter heterogeneity on sorption and desorption of organiccontaminants by soils and sediments.Appl. Geochem.2003, 18,-955-972.

(36) Xing, B. S.; Pignatello, J. J. Dual-mode sorption of low-polaritycompounds in glassy poly (vinyl chloride) and soil organicmatter.EnViron. Sci. Technol. 1997, 31, 792-799.

(37) Weber, W. J., Jr.; Mcglnley, P. M.; Katz, L. E. A distributedreactivity model for sorption by soils and sediments. 1. Con-ceptual basis and equilibrium assessment.EnViron. Sci. Technol.1992, 26, 1955-1962.

(38) Huang, W. L.; Weber, W. J., Jr. A distributed reactivity modelfor sorption by soil and sediments. 10. Relationships betweendesorption, hysteresis, and the chemical characteristics of organicdomains.EnViron. Sci. Technol. 1997, 31, 2562-2569.

(39) Chiou, C. T.; Kile, D. E.; Rutherford, D. W. Sorption of selectedorganic compounds from water to a peat soil and its humic-acidand humin fractions: potential sources of the sorption nonlin-earity.EnViron. Sci. Technol. 2000, 34, 1254-1258.

(40) Yang, Y. N.; Sheng, G. Y.; Huang, M. Bioavailability of diuronin soil containing wheat-straw-derived char.Sci. Total EnViron.2006, 354, 170-178.

(41) Zhang, P.; Sheng, G. G.; Feng, Y.; Miller, D. M. Role of wheat-residue-derived char in the biodegradation of benzonitrile insoil: nutritional stimulation versus adsorptive inhibition.EnViron.Sci. Technol.2005, 39, 5442-5448.

(42) Ghosh, U.; Gillette, J. S.; Luthy, R. G.; Zare, R. N. Microscalelocation, characterization, and association of polycyclic aromatichydrocarbons on harbor sediment particles.EnViron. Sci. Technol.2000, 34, 1729-1736.

(43) Ahmad, R.; Kookana, R. S.; Alston, A. M.; Skjemstad, J. O.The nature of soil organic matter affects the sorption of pesti-cides. 1. Relationship with carbon chemistry as determined by13C CPMAS NMR spectroscopy.EnViron. Sci. Technol.2001,35, 878-884.

(44) Abelmann, K.; Kleineidam, S.; Knicker, H.; Grathwohl, P.;Kogel-Knabner, I. Sorption of HOC in soils with carbonaceouscontamination: Influence of organic-matter composition.J. PlantNutr. Soil Sci.2005, 168, 1-14.

(45) Lu, Y. F.; Pignatello, J. J. Demonstration of the “conditioningeffect” in soil organic matter in support of a pore deformationmechanism for sorption hysteresis.EnViron. Sci. Technol. 2002,36, 4553-4561.

Received for review May 12, 2006. Revised manuscript received August31, 2006. Accepted September 4, 2006.

JF061354Y

8550 J. Agric. Food Chem., Vol. 54, No. 22, 2006 Yu et al.

Dow

nloa

ded

by U

NIV

OF

GE

OR

GIA

on

Aug

ust 4

, 200

9Pu

blis

hed

on O

ctob

er 1

1, 2

006

on h

ttp://

pubs

.acs

.org

| do

i: 10

.102

1/jf

0613

54y

Page 99: Agricultural Applications for Pine-Based BioChar

www.elsevier.com/locate/scitotenv

Science of the Total Environm

Bioavailability of diuron in soil containing

wheat-straw-derived char

Yaning Yanga,c, Guangyao Shenga,T, Minsheng Huangb

aDepartment of Crop, Soil, and Environmental Sciences, University of Arkansas, Fayetteville, AR 72701, U.S.A.bDepartment of Environmental Science and Technology, East China Normal University, Shanghai 200062, P.R. China

cDepartment of Civil and Environmental Engineering, University of Illinois, Urbana, IL 61801, U.S.A.

Received 19 October 2004; accepted 26 January 2005

Available online 23 March 2005

Abstract

This study evaluated the bioavailability of diuron in soil as influenced by char arising from the burning ofwheat straw. Thewheat

char was a highly effective sorbent for diuron. The presence of 1%wheat char in soil resulted in a 7–80 times higher diuron sorption.

A 10-week incubation resulted in b40% of 0.5 mg/kg diuron in 0.5% char-amended soil microbially degraded, as compared to 50%

in char-free soil under the same conditions. Over the experimental range of diuron application rates from 0 to 12 mg/kg and of char

contents from 0% to 1.0%, a 4-week bioassay indicated that both the barnyardgrass survival rating and the fresh weight of

aboveground biomass decreasedwith increasing diuron application at given char contents but increasedwith increasing char content

at potentially damaging diuron application rates. Residual analyses of bioassayed soils showed that the soils with char contents of

0.5% and higher and diuron application rates of 3.0mg/kg and higher, as compared to thosewith no or low (0.05%) char and a diuron

application rate of 1.5 mg/kg, had higher residual diuron levels but higher barnyardgrass survival ratings and fresh weights. These

results suggest that enhanced sorption of diuron in soil in the presence of wheat char reduced the bioavailability of diuron, as

manifested by reduced microbial degradation of diuron and its herbicidal efficacy to barnyardgrass. This study may have greater

implication than for burning of wheat straw that field burning of vegetations may reduce bioavailability of pesticides.

D 2005 Elsevier B.V. All rights reserved.

Keywords: Bioavailability; Diuron; Microorganism; Barnyardgrass; Sorption; Wheat char

1. Introduction

Many studies have suggested that soil-bound

organic contaminants are unavailable for microbial

0048-9697/$ - see front matter D 2005 Elsevier B.V. All rights reserved.

doi:10.1016/j.scitotenv.2005.01.026

T Corresponding author. Tel.: +1 479 575 6752; fax: +1 479 575

3975.

E-mail address: [email protected] (G. Sheng).

degradation (Ogram et al., 1985; Shimp and Young,

1988; Steen et al., 1980). Although recent research

suggested that limited biodegradation of soil-sorbed

pesticides may occur (Feng et al., 2000; Park et al.,

2001, 2002, 2003), liquid-phase contaminants are

much more bioaccessible to soil microorganisms

(Ogram et al., 1985; Guerin and Boyd, 1992; Lahlou

and Ortega-Calvo, 1999). Other studies have estab-

ent 354 (2006) 170–178

Page 100: Agricultural Applications for Pine-Based BioChar

Y. Yang et al. / Science of the Total Environment 354 (2006) 170–178 171

lished that phytotoxicity of herbicides is directly

related to their concentrations in the soil solution

(e.g., Lambert, 1966; Pillay and Tchan, 1971). It is

generally true that only dissolved nutrients and

organic chemicals in the soil interstitial bulk-like

water (i.e., plant-available water above the wilting

point) are available for plant-root uptake. Sorption

largely controls concentrations of organic contami-

nants in the soil solution and thus is the major

determinant of the bioavailability of pesticides to both

microorganisms and plants. Enhancing sorption by

increasing soil organic matter content leading to a

reduction in the solution-phase concentrations results

in a decreased microbial degradation of organic

contaminants (e.g., Guerin and Boyd, 1993). Charcoal

dipping or banding effectively protects many plants

from herbicidal injury (Arle et al., 1948; Burr et al.,

1972; Chandler et al., 1978; Jordan and Smith, 1971;

William and Romanowski, 1972).

Sorptive properties of agricultural soils, and thus

bioavailability of pesticides, are often influenced by

agricultural practices. Field burning of crop residues

worldwide incorporates the resulting chars into soils.

Hilton and Yuen (1963) postulated that the retained

sorptivity of many Hawaiian soils for ureas and s-

triazines after oxidative removal of soil organic matter

by hydrogen peroxide was a result of the peroxide-

resistant soil chars arising from burning of sugarcane

trash. Toth et al. (1999) observed a reduction in the

phytotoxicity of diuron applied over the ash of

recently burned kangaroo grass, due primarily to the

diuron sorption by the ash. We confirmed their

postulation by measuring the sorption of pesticides

on soil-free chars from burning of crop residues.

Sorption of diuron by the chars from burning of wheat

straw and rice residue was 400–2500 times higher

than that by a soil with 2.1% organic matter (Yang and

Sheng, 2003a). Amendment of the soil with the wheat

char up to 1% (by weight) enhanced the sorptivity of

the soil for diuron in proportion to the char content.

The char aged in the soil for one month remained

highly effective for diuron sorption and dominated the

sorption, although a small reduction (b30%) in

sorptivity was observed (Yang and Sheng, 2003b).

Further aging of the char for up to 12 months did not

result in a further sorptivity reduction, indicating that

the char was resistant to degradation. One direct

consequence of the high sorptivity of crop-residue-

derived chars may be the reduced bioavailability of

pesticides in soils to both microbes and plants. The

reduction in microbial degradation of benzonitrile in a

soil in the presence of wheat char has been reported

(Zhang et al., 2004). Reduced microbial degradation

increases the persistence of pesticides and thus the

environmental risk associated with pesticide use. The

high sorptivity of crop-residue-derived chars may also

reduce herbicidal efficacy to weeds. Poor herbicidal

efficacy is a concern both economically and environ-

mentally due to additional application of herbicides

for weed control.

In this study, we determined the bioavailability of

diuron to soil microorganisms and to barnyardgrass

(Echinochloa crus-galli (L.) Beauv.) in soil in the

presence of wheat-straw-derived char. Use of bar-

nyardgrass, a common rice weed, has both agronomic

and environmental significance. Our objectives were

to determine the microbial degradation of diuron and

its efficacy to barnyardgrass in relation to soil

sorption in the presence of wheat char and to evaluate

the impact of crop-residue-derived chars on the

bioavailability of pesticides in soil. Results from

laboratory measurements and greenhouse bioassays

indicated that wheat char was a highly effective

sorbent for diuron and its presence in soil resulted in

enhanced diuron sorption and subsequently dimin-

ished bioavailability.

2. Materials and methods

2.1. Materials

Wheat char used in this study was from our

previous studies (Yang and Sheng, 2003a,b). Air-

dried wheat (Triticum aestivum L.) straw (10 kg) was

collected from the Arkansas Agricultural Research

and Extension Center in Fayetteville, Arkansas.

Wheat char was obtained by burning the straw on a

stainless steel plate (1 m � 1 m) in an open field under

natural conditions in a July afternoon. The BET

surface area of the char was determined to be 10.1 m2/

g in a commercial service laboratory. Chemical

analysis showed that the char contained 13% elemen-

tal carbon and 42% silica.

Soil, classified as Stuttgart silt loam, was collected

at the Rice Research and Extension Center, Stuttgart,

Page 101: Agricultural Applications for Pine-Based BioChar

Y. Yang et al. / Science of the Total Environment 354 (2006) 170–178172

Arkansas. The soil had a mechanical composition of

17.1% sand, 60.4% silt, and 22.5% clay. The soil

contained 2.1% organic matter and had a cation-

exchange capacity of 8.5 cmolc/kg. The soil, without

records of crop residue burns, was presumed to contain

minimal levels of chars. The soil was air-dried, ground,

and passed through a 1-mm sieve. Char-amended soils

were prepared by thoroughly mixing soil with accu-

rately weighed char in exact char contents of 0.05%,

0.1%, 0.5%, and 1.0% (by weight).

Diuron with a purity of 99% was purchased from

ChemService (West Chester, PA) and used as received.

Diuron is an electroneutral molecule. The pesticide has

a water solubility of ~42 mg/l and a log Kow of 2.68 at

room temperature (Howard and Meylan, 1997). The

Henry’s Law constant of 2.7�10�6 atm m3/mol

indicates that the pesticide is non-volatile and therefore

suitable for prolonged laboratory and greenhouse

studies. Diuron is a urea compound primarily used as

a preemergence herbicide in soils to control germinat-

ing grasses and broad-leaved weeds. As a photosyn-

thesis inhibitor, diuron injures weeds with symptoms

of foliar chlorosis concentrated around veins (some-

times interveinal) followed by necrosis.

A mixed diuron-degrading culture was isolated

from soil collected in a cotton field where diuron has

been applied annually for over 15 years. One gram of

the soil was inoculated into 100 ml of medium

containing mineral salts (Stanier et al., 1966), 0.1 ml

of vitamin solution (Wolin et al., 1963), and saturated

diuron. The mixture was incubated for 1 week at 28

8C on a platform shaker at 150 rpm. After two serial

transfers to fresh medium, the culture enrichment was

obtained. Preliminary tests showed that the isolated

culture readily degraded diuron in solution.

Barnyardgrass seeds, collected from the plant

grown in a rice field in Stuttgart, AR in 1983, were

acid-scarified in 1 N nitric acid for 1 h at room

temperature. The seeds were washed with deionized

water, spread evenly on filter paper in petri dishes,

covered with another filter paper, watered with 3 ml of

deionized water, and incubated in the dark at room

temperature for 72 h for germination.

2.2. Sorption isotherms for diuron

Sorption of diuron by soil, wheat char, and 1%

char-amended soil was measured by the batch

equilibration technique. Various quantities of diuron

in 0.005 M CaCl2 solution were added into 25-ml

Corex glass centrifuge tubes containing sorbents with

a constant mass between 0.01 and 3.5 g. The mass of

sorbents was adjusted to allow for N40% of added

diuron to be adsorbed. Additional 0.005 M CaCl2solution was added to bring the total liquid volume to

10 ml. Initial concentrations of diuron ranged from

1.25 to 12.5 mg/l. The tubes were closed with Teflon-

lined screw caps and rotated (40 rpm) at room

temperature (~25 8C) for 48 h. Other measurements

have shown that sorption of diuron by both the soil

and the char reached apparent equilibria within 24 h;

the sorption by char-amended soil was thus assumed

to also reach equilibrium within the same duration.

After the establishment of sorption equilibria,

sorbents and aqueous phases were separated by

centrifugation at 6000 rpm (RCF=5210 g) for 30

min. The diuron concentrations in supernatants were

analyzed by high-performance liquid chromatography

(HPLC). The amount of diuron sorbed was calculated

from the difference between the amount initially

added and that remaining in equilibrium solution.

All measurements were in duplicate with a variation

generally b5%, and the calculated average data were

reported. The measurements with blanks not contain-

ing sorbents found that glass tubes did not adsorb

diuron and no processes other than sorption con-

tributed to the loss of solution-phase diuron.

2.3. Microbial degradation of diuron

Sterilized soil and 0.5% char-amended soil (200 g

each) were placed in 1000-ml glass beakers, spiked

with 2 ml of 50 mg/l diuron stock solution in acetone,

thoroughly mixed, and allowed for acetone to

evaporate for 2 days. The soils were then watered

to near the field capacity and aged for another 2 days

to allow the diuron sorption to complete. Three 5-g

samples from each of the soils were extracted with 5

ml of H2O and 5 ml of water-saturated ethyl acetate

for 72 h. Following the phase separation, 2 ml of

ethyl acetate were dried under N2 gas and redissolved

in 1 ml of methanol. The diuron concentrations in

methanol were analyzed by HPLC. The recoveries

were 95.2% and 85.2% for soil and char-amended

soil, respectively. Each soil was inoculated with 5 ml

of the isolated culture enrichment. Preliminary tests

Page 102: Agricultural Applications for Pine-Based BioChar

Y. Yang et al. / Science of the Total Environment 354 (2006) 170–178 173

found that 5 ml of the enrichment in 200 g of soil

gave an appreciable degree of diuron degradation in

one week. The soils were thoroughly mixed again.

The beakers were then covered with aluminum foil

and placed in the dark at room temperature. Three 5-g

soil samples from each beaker were taken weekly for

10 weeks for diuron analysis. The soils were

extracted following the same extraction procedures

as those for the recoveries, except that extracting

water contained 0.5% Ag2SO4 to immediately termi-

nate biodegradation. The diuron concentrations were

adjusted for the recoveries. The soils, watered when

necessary, were maintained moist throughout the

degradation experiment.

2.4. Barnyardgrass bioassay for diuron

A series of 4 diuron solutions with concentrations

of 60, 120, 240, and 480 mg/l in acetone were

prepared. Five milliliters of each of the solutions,

along with acetone only, were added to 200 g of char-

free soil or char-amended soils in plastic bags,

resulting in the diuron levels of 0, 1.5, 3.0, 6.0, and

12 mg/kg in the soils, respectively. The five diuron

levels were referred to as 0X, 1X, 2X, 4X, and 8X,

where X=1.5 mg/kg and is within the range of

recommended field application rates. The five char

contents were 0%, 0.05%, 0.1%, 0.5%, and 1%. The

combination of the 5 diuron rates and the 5 char

contents resulted in a total of 25 treatments. Each

treatment was in triplicate. The soils were thoroughly

mixed in the bags, and transferred to plastic cups

following the evaporation of acetone from the opened

bags.

A small quantity of soil (~20 g) was first removed

from each cup. Ten pregerminated barnyardgrass

seeds with extended radicles and hypocotyls were

placed evenly on the soil surface in each cup and then

covered with the previously removed soil. Following

planting, the cups were placed in a completely

randomized block design in a greenhouse, watered

with 40 ml of deionized water, and maintained moist

throughout the experiment. The greenhouse was

maintained at 34/20 8C day/night temperatures with

a 14-h lighting cycle. Barnyardgrass seedling survival

was visually rated two weeks after planting as percent

of survival between 0 and 100, with 0% representing

no survival and 100% complete survival (no injury).

The survival rating was performed independently by

three individuals. Average survival ratings were

calculated using the data from the replicated samples

from all the individuals. Four weeks after planting,

plants were cut at the soil level and immediately

weighed to obtain the fresh weights of the above-

ground biomass. All the visual survival rating and

fresh weight data were statistically analyzed using the

SAS program.

Following the bioassay, the soil samples of selected

treatments were analyzed for residual diuron by

HPLC using the extraction procedures described

earlier. The average diuron concentration of the

replicate soils of the same treatment was reported.

The soils from the following 6 treatments were

selected based on the char contents, diuron rates,

and barnyardgrass aboveground fresh weights: S0-0,

S0-1.5, S0.05-1.5, S0.5-3.0, S1-3.0, and S1-6.0,

where the suffix C-D to S represents the char content

(C)-applied soil concentration of diuron (D).

2.5. Analysis of diuron

Diuron in the supernatants from sorption experi-

ments and in the extracts from microbial degradation

and greenhouse bioassay tests was analyzed on a

Hitachi reversed-phase high-performance liquid chro-

matograph (Hitachi High-Technologies Tokyo,

Japan) fitted with a UV-visible detector set at the

maximum absorption wavelength for diuron (252

nm). A Phenomenex Prodigy C18 column was used

(Alltech Assoc., Deerfield, IL). The mobile phase

was a mixture of acetonitrile and water (50:50, v/v)

at a flow rate of 1.0 ml/min. The injection volume

was 20 Al.

3. Results and discussion

Isotherms for the sorption of diuron by soil, wheat

char and 1% char-amended soil are presented in Fig.

1, in which the amount of diuron sorbed (mg/kg) is

plotted against the equilibrium concentration (mg/l) in

water. No single mathematical models provided

adequate fits for the sorption data. The curves were

drawn to assist in visualization and comparison of the

data. Soil effectively sorbed diuron, rather consistent

with the prediction from the log Kow value of diuron

Page 103: Agricultural Applications for Pine-Based BioChar

Incubation Time (days)

0 20 40 60 80

Diu

ron

Deg

rade

d (%

)

0

10

20

30

40

50

60

Soil0.5% Wheat Char in Soil

Fig. 2. Microbial degradation of diuron over time in sterilized soi

and char-amended soil inoculated with a mixed enrichment culture

Equilibrium Concentration (mg/L)

0 2 4 6 8 100

20

40

60

80

100Soil1% Wheat Char in Soil

0 2 4 60

3000

6000

9000

Wheat Char

Am

ount

of D

iuro

n S

orbe

d (m

g/kg

)

Fig. 1. Isotherms for sorption of diuron from water by soil, wheat

char, and char-amended soil.

Y. Yang et al. / Science of the Total Environment 354 (2006) 170–178174

and the soil organic matter content. Wheat char had a

much higher sorptivity than soil for diuron (see the

inset in Fig. 1). From the curves, we estimated that the

char was 700–37,000 times more effective than the

soil in sorbing diuron over the experimental concen-

tration range (0–6 mg/l). These results are similar to

those obtained in our previous study (Yang and

Sheng, 2003a). It has also been reported in the

literature that chars (the term ash was used) derived

from burning of vegetation are effective adsorbents

for pesticides (Yang and Sheng, 2003b; Toth and

Milham, 1975).

Much higher sorptivity of wheat char than of soil

resulted in enhanced sorption of diuron by the soil in

the presence of the char, as indicated in Fig. 1.

Calculations show that 1% char-amended soil sorbed

about 7–80 times more diuron than char-free soil over

the experimental concentration range. Assuming that

the amendment of soil with 1% char did not change

the sorptivity of the soil for diuron, 1% char

contributed N86% to the total sorption of diuron,

indicating the predominance of the char for diuron

sorption. Normalization of the sorption to char content

resulted in a diuron isotherm slightly lower than that

for soil-free char, which may have resulted from the

competitive sorption of dissolved soil organic matter

on the char. While the diuron sorption by char-

amended soil was evaluated with only one char

content, enhanced sorption at other char contents is

expected. At recommended field application rates,

enhanced diuron sorption in the presence of wheat

char may decrease the concentration of diuron in the

soil solution, leading to reduced biodegradation and

loss of herbicidal efficacy.

An evaluation of the bioavailability of diuron to

soil microorganisms in the presence and absence of

wheat char in soil was made by comparing the

degradation of diuron in char-free soil and 0.5%

char-amended soil, both inoculated with the same size

of an isolated diuron-degrading culture. The initial

diuron concentration in both soils was 0.5 mg/kg. We

simply measured the dissipation of diuron over

incubation time and did not identify the degradation

products, thus offering no mechanistical information

on the diuron transformation reaction. In Fig. 2, the

degradation is expressed as the percent of total diuron

degraded at given time. Although diuron is a rather

persistent pesticide in field soils, it slowly degraded in

field soils (Hill et al., 1955). It has been reported that

mixed cultures from pond water and sediment aerobi-

cally degraded diuron to several identified products

and carbon dioxide (Ellis and Camper, 1982). While

we did not know the species and the population of the

isolated cultures, diuron in both soils was degraded

with time. The degradation was slower in char-

amended soil than in char-free soil. Over a 10-week

incubation, b40% of diuron in 0.5% char-amended

soil was degraded, in comparison to about 55% in

char-free soil. While direct degradation of soil-sorbed

organic compounds by bacteria may occur, we did not

know whether such a process was involved in diuron

degradation. However, our results clearly show that

l

.

Page 104: Agricultural Applications for Pine-Based BioChar

Y. Yang et al. / Science of the Total Environment 354 (2006) 170–178 175

enhanced sorption in the presence of wheat char

reduced the bioavailability of diuron to soil micro-

organisms. Reduced biodegradation of benzonitrile by

a bacterium in soil in the presence of wheat char was

also due to enhanced sorption (Zhang et al., 2004). In

addition to elemental carbon and silica, wheat char

contained 21% potassium, 1.5% phosphorous, 0.64%

nitrogen, and other microelements (Yang and Sheng,

2003b). When in their available forms in soil, some of

these nutrients may stimulate microbial activity. We

have found that when benzonitrile was not limiting,

1% wheat char provided nutritional stimulation on

benzonitrile degradation (data not shown). Such a

stimulation on diuron degradation in 0.5% char-

amended soil was not obvious.

Fig. 3 is the photograph comparing the barnyard-

grass growth among the soil samples subjected to

diuron applications in the absence and presence of

wheat char just prior to cutting the plants for their

fresh weights. The samples consisted of 25 cups, each

representing one of the three replicates for each of all

the treatments, and were placed de-randomized to aid

visualization. In the absence of diuron application,

barnyardgrass showed a normal growth without

observable growth stimulation by wheat char

nutrients. One week after planting, the barnyardgrass

injury was obvious (photograph not shown). The

injury increased with increasing diuron application

Application Rate of Diuron (0.0 1.5 3.0 6

Fig. 3. Photograph showing barnyardgrass growth in soils as a function

planting.

rate at a given char content and decreased with

increasing char content at a given diuron application

rate. The observation is consistent with the earlier

sorption measurements that the presence of wheat

char enhanced the diuron sorption by soil. By four

weeks after planting (prior to cutting), uninjured

barnyardgrass showed continued growth, whereas

injured ones did not recover (Fig. 3).

More quantitative barnyardgrass bioassay to eval-

uate the impact of wheat char on the bioavailability of

diuron was obtained by visually rating barnyardgrass

survival two weeks after planting and by weighing

aboveground fresh biomass four weeks after planting

(Fig. 4). Without application of diuron, barnyardgrass

was somehow injured in char-free soil. In the presence

of wheat char (z0.05%), the injury was eliminated.

This suggests that unknown herbicides likely phyto-

toxic to barnyardgrass may be present in char-free soil

but deactivated by the char. A full rate of diuron (1.5

mg/kg) in char-free soil showed almost complete

injury to barnyardgrass. However, both the barnyard-

grass survival rating and fresh weight increased with

increasing char content. A char content of 0.5% or

higher was sufficiently high that diuron completely

lost its efficacy to barnyardgrass. The application rates

of 3 mg/kg and higher resulted in complete-to-partial

losses of diuron efficacy to barnyardgrass. Similar to

the observations with the full rate of diuron, the

Whe

at C

har

in S

oil (

%)

mg/kg).0 12

1.0

0.5

0.1

0.05

0.0

of diuron application rate and wheat char content four weeks after

Page 105: Agricultural Applications for Pine-Based BioChar

Table 1

Relationship between measured residual concentrations of diuron

and barnyardgrass fresh weights in selected soil and char-amended

soil samples subjected to various treatments four weeks after

planting as influenced by percent char content and application rate

of diuron

Soil Char

content

(%)

Rate of

diuron fresh

weight (g)

Barnyardgrass

fresh weight (g)

Residual

concentration

(mg/kg)

S0-0 0 0 0.0242 0.00

S0-1.5 0 1.5 0.0007 0.73

S0.05-1.5 0.05 1.5 0.0030 0.69

S0.5-3.0 0.5 3.0 0.0224 1.28

S1-3.0 1 3.0 0.0308 1.20

S1-6.0 1 6.0 0.0378 2.42

0

20

40

60

80

100

Sur

viva

l Rat

ing

(%)

Cha

r Con

tent

(%)

Cha

r Con

tent

(%)

Rate of Diuron (mg/kg)

Rate of Diuron (mg/kg)

0.00

0.01

0.02

0.03

0.04

0.05

Fre

sh W

eigh

t (g)

00.05

0.10.5

1.0

00.05

0.10.5

1.0

01.5 3.0 6.0

12

01.5 3.0 6.0

12

(a) (b)

Fig. 4. Growth of barnyardgrass in soils as a function of diuron application rate and wheat char content showing (a) survival rating of

barnyardgrass two weeks after planting, and (b) fresh weight of barnyardgrass four weeks after planting.

Y. Yang et al. / Science of the Total Environment 354 (2006) 170–178176

survival rating and fresh weight at higher application

rates increased with increasing char content over the

tested range of char contents in soil. The Student’s t

test at the 95% level of confidence (a=0.05) was usedto compare the individual survival ratings and fresh

biomass weights at various char contents and diuron

application rates. Survival ratings and fresh weights

were statistically different (a=0.05) for V0.05% char

with no diuron application, for V0.5% char with 1.5

mg diuron/kg, for z0.1% char with 3.0 mg or 6.0 mg

diuron/kg (fresh weights were significantly different

forz0.5% char with 6.0 mg diuron/kg), and for

z0.5% char with 12 mg diuron/kg. These results

suggest the decreased bioavailability of diuron to

barnyardgrass with increasing char content in soil, due

presumably to enhanced sorption of diuron in the

presence of the char.

The sorptive role of wheat char in reducing diuron

bioavailability (efficacy) to barnyardgrass is con-

firmed by measuring residual concentrations of diuron

in soils after cutting barnyardgrass. Soils from 6

selected treatments, where barnyardgrass fresh

weights differed significantly, were analyzed for

residual diuron. The concentrations in the three

replicate soils of each treatment were highly invariant,

with the difference b4.3%. The average concentra-

tions were calculated and presented in Table 1. Char-

free soil (S0-0) did not contain a measurable level of

diuron. All other soils that had received diuron

contained residual diuron with levels of about 40–

49% of their respective application rates. The soils S0-

1.5 and S0.05-1.5 containing no or low char (0% and

0.05%, respectively) had residual diuron concentra-

tions of ~0.7 mg/kg and produced much lower

barnyardgrass fresh weights than the soil S0-0,

indicating the availability of diuron to barnyardgrass

in these soils. Although the soils S0.5-3.0 and S1-3.0

containing 0.5% and 1% char, respectively, had

residual diuron concentrations almost twice those in

the soils S0-1.5 and S0.05-1.5, the barnyardgrass

fresh weights associated with the former two soils

were much higher than those with the latter two. In

fact, the barnyardgrass fresh weights with the soils

Page 106: Agricultural Applications for Pine-Based BioChar

Y. Yang et al. / Science of the Total Environment 354 (2006) 170–178 177

S0.5-3.0 and S1-3.0 were similar to that with char-free

soil without receiving diuron application (i.e. the soil

S0-0). The barnyardgrass fresh weight with the soil

S1-6.0 containing an even higher level of residual

diuron remained high. These results indicate that

diuron in soils with high contents of wheat char was

largely unavailable to barnyardgrass.

Our measurements indicate that at typical applica-

tion rates of diuron, a char content of as low as 0.1%

may appreciably reduce the bioavailability of diuron

in soil. We reported that burning of wheat straw

produced wheat char at ~6% of the straw weight

(Yang and Sheng, 2003a). Using the average produc-

tion of wheat straw of ca. 6000 kg/ha, its burning

would generate ~360 kg/ha wheat char. If this wheat

char were mixed in soil with a density of 1.4 g/cm3 to

the depth of furrow slice (~0.15 m), a single burning

would result in a wheat char content of~0.02%. Crop-

residue-derived chars are expected to accumulate in

soils, as crop residues are repeatedly burned, and the

resulting chars are expected to remain to be highly

effective sorbents for pesticides (Yang and Sheng,

2003b). As such, field burning of crop residues may

effectively reduce the bioavailability of pesticides.

4. Conclusions

Wheat char is a highly effective sorbent for diuron.

Field burning of wheat straw incorporates the resulting

wheat char into soil and enhances the sorption of

diuron by the soil. A direct consequence of this

agricultural practice is the reduced bioavailability of

diuron in soil. We found that diuron was less

biodegradable in soil in the presence of wheat char.

Its herbicidal efficacy to barnyardgrass decreased with

increasing char content in soil and, at recommended

field application rates, could be completely lost when

the soil char content was 0.5% or higher. Reduced

bioavailability of diuron appeared to result from the

enhanced sorption in soil in the presence of wheat char.

Although only wheat char and diuron were tested in

this study, it is expected that chars arising from field

burning of other crop residues and vegetations also

effectively sorb other pesticides and reduce their

bioavailability. The presence of crop-residue-derived

chars in soil may increase the environmental risk of

pesticides and reduce their efficacy to pests.

Acknowledgments

This research was supported by USDA National

Research Initiative Competitive Grants Program

(Grant No. 2002-35107-12350).

References

Arle HF, Leonard OA, Harris VC. Inactivation of 2,4-D on sweet-

potato slips with activated carbon. Science 1948;107:247–8.

Burr RJ, Lee WO, Appleby AP. Factors affecting use of activated

carbon to improve herbicide selectivity. Weed Sci 1972;

20:180–3.

Chandler JM, Wooten OB, Fulgham FE. Influence of placement of

charcoal on protection of cotton (Gossypium hirsutum) from

diuron. Weed Sci 1978;26:239–44.

Ellis PA, Camper ND. Aerobic degradation of diuron by aquatic

microorganisms. J Environ Sci Health 1982;B17:277–89.

Feng Y, Park J-H, Voice TC, Boyd SA. Bioavailability of soil-

sorbed biphenyl to bacteria. Environ Sci Technol 2000;34:

1977–84.

Guerin WF, Boyd SA. Differential bioavailability of soil-sorbed

naphthalene to two bacterial species. Appl Environ Microbiol

1992;58:1142–52.

Guerin, WF, Boyd, SA Bioavailability of sorbed naphthalene to

bacteria: influence of contaminant aging and soil organic carbon

content. Sorption and degradation of pesticides and organic

chemicals in soil. SSSA Special Publ No 32. Soil Sci Soc Am

and Am Soc Agron, Madison, WI; 1993. p. 197–208.

Hill GD, McGahen JW, Baker HM, Finnerty DW, Bingeman CW.

The fate of substituted urea herbicides in agricultural soils.

Agron J 1955;47:93–104.

Hilton HW, Yuen QH. Adsorption of several pre-emergence

herbicides by Hawaiian sugar cane soils. J Agric Food Chem

1963;11:230–4.

Howard PH, Meylan WM. Handbook of Physical Properties of

Organic Chemicals. Boca Raton, FL7Lewis Publ.; 1997. 1585 pp.

Jordan PD, Smith LW. Adsorption and deactivation of atrazine and

diuron by charcoals. Weed Sci 1971;19:541–4.

Lahlou M, Ortega-Calvo JJ. Bioavailability of labile and desorption-

resistant phenanthrene sorbed to montmorillonite clay contain-

ing humic fractions. Environ Toxicol Chem 1999;18:2729–35.

Lambert SM. The influence of soil-moisture content on herbicidal

response. Weeds 1966;14:273–5.

Ogram AV, Jessup RE, Ou LT, Rao PSC. Effects of sorption on

biological degradation rates of (2,4-dichlorophenoxy) acetic

acid in soil. Appl Environ Microbiol 1985;49:582–7.

Park J-H, Zhao X, Voice TC. Biodegradation of non-desorbable

naphthalene in soils. Environ Sci Technol 2001;35:2734–40.

Park J-H, Zhao X, Voice TC. Development of a kinetic basis for

bioavailability of sorbed naphthalene in soil slurries. Water Res

2002;36:1620–8.

Park J-H, Feng Y, Ji P, Voice TC, Boyd SA. Assessment of

bioavailability of soil-sorbed atrazine. Appl Environ Microbiol

2003;69:3288–98.

Page 107: Agricultural Applications for Pine-Based BioChar

Y. Yang et al. / Science of the Total Environment 354 (2006) 170–178178

Pillay AR, Tchan YT. Phytotoxicity of diuron in some Australian

soils. Proc Weed Soc NSW 1971;IV:21–4.

Shimp RJ, Young RL. Availability of organic chemicals for

biodegradation in settled bottom sediments. Ecotoxicol Environ

Saf 1988;15:31–45.

Stanier RY, Palleroni NJ, Doudoroff M. The aerobic pseudomonads:

a taxonomic study. J Gen Microbiol 1966;43:159–271.

Steen WC, Paris OF, Baughman GL. Effects of sediment sorption

on microbial degradation of toxic substance. In: Baker RA,

editor. Contam Sediments, vol. 1. Ann Arbor, MI7 Ann Arbor

Science Publ.; 1980. p. 477–82.

Toth J, Milham PJ. Activated-carbon and ash-carbon effects on

the adsorption and phytotoxicity of diuron. Weed Res 1975;

15:171–6.

Toth J, Milham PJ, Kaldor CJ. Decreased phytotoxicity of diuron

applied over ash of recently burned kangaroo grass (Themeda

australis (RBr) Stapf). Plant Prot Q 1999;14:151–4.

William RD, Romanowski RR. Vermiculite and activated carbon

adsorbents protect direct-seeded tomatoes from partially selec-

tive herbicides. J Am Soc Hortic Sci 1972;97:245–9.

Wolin EA, Wolin MJ, Wolfe RS. Formation of methane by bacterial

extracts. J Biol Chem 1963;238:2882–6.

Yang Y, Sheng G. Enhanced pesticide sorption by soils containing

particulate matter from crop residue burns. Environ Sci Technol

2003a;37:3635–9.

Yang Y, Sheng G. Pesticide adsorptivity of aged particulate matter

arising from crop residue burns. J Agric Food Chem

2003b;51:5047–51.

Zhang P, Sheng G, Wolf DC, Feng Y. Reduced biodegradation

of benzonitrile in soil containing wheat-residue-derived ash.

J Environ Qual 2004;33:868–72.

Page 108: Agricultural Applications for Pine-Based BioChar

Simultaneous biodegradation of chloro-and methylthio-s-triazines usingcharcoal enriched with a newlydeveloped bacterial consortium

Ken-ichi YAMAZAKI,† Kazuhiro TAKAGI*,†,††

Kunihiko FUJII,††† Akio IWASAKI,†††

Naoki HARADA†††† and Tai UCHIMURA†

† Department of Applied Biology and Chemistry, Tokyo University ofAgriculture, Setagaya-ku, Tokyo 156–8502, Japan

†† Organochemicals Division, National Institute for Agro-Environmental Sciences, Tsukuba, Ibaraki 305–8604, Japan

††† Kowa Research Institute, Kowa Co., Ltd., Tsukuba, Ibaraki 305–0856, Japan

†††† Faculty of Agriculture, Niigata University, Nishi-ku, Niigata 950–2181, Japan

(Received February 18, 2008; Accepted April 10, 2008)

A special type of charcoal, Charcoal A100, was enriched with anewly developed bacterial consortium using a perfusion method.The bacterial consortium consisted of a methylthio-s-triazine-de-grading bacterium (Rhodococcus sp. FJ1117YT) and the chloro-s-triazine-degrading bacterial consortium CD7 (containingBradyrhizobium japonicam CSB1, Arthrobacter sp. CD7w andb-Proteobacteria CDB21). Enriched charcoal was capable of degrading chloro-s-triazines (simazine and atrazine) andmethylthio-s-triazines (simetryn and dimethametryn) simultane-ously in sulfur-free medium. Almost complete degradation wasobserved after 4-day cultivation of chloro-s-triazines and 9-daycultivation of methylthio-s-triazines. These triazines were miner-alized via their 2-hydroxy analogues.

Keywords: biodegradation, methylthio-s-triazines, chloro-s-tri-azines, bacterial consortium, Charcoal A100.

Introduction

The s-triazines are recognized as a major class of herbicides andare widely used in agriculture for controlling various weeds, andthey have been detected in ground and surface water.1–3) Amongthe removal technologies for such residual pesticides, bioremedi-ation is considered to be the most cost-effective and safe technol-ogy; therefore, many studies concerning s-triazine-degrading

bacteria have been reported.In our study, bacterial consortium CD74) was obtained which

can mineralize simazine, and a degrading bacterium b-Pro-teobacteria CDB21 was isolated from CD7 by Iwasaki et al.5) Itwas considered that CD7 was more effective for bioremediationthan strain CDB21 because strain CDB21 could not utilizesimazine for its growth in mineral salt medium withoutcyanocobalamin, but CD7 could utilize simazine as sole carbonand nitrogen sources in mineral salt medium.4,5) In addition, aspecial type of charcoal, Charcoal A100, enriched with CD7 wasdeveloped, and was placed under the subsoil of a golf course todegrade simazine. The simazine-degrading capability of the en-riched charcoal was maintained for nearly 2 years.4) Thus, Char-coal A100 enriched with CD7 is considered to be an effectivematerial for bioremediation; however, CD7 and strain CDB21could not degrade methylthio-s-triazines detected in riverwater,3,6) a lake basin,7) and river sediments,8) while Rhodococcussp. FJ1117YT9) can transform methylthio-s-triazines to their hy-droxyl analogues via sulfur oxidation, and accumulate hydroxy-s-triazines. It is considered that simultaneous degradation ofchloro- and methylthio-s-triazines using a mixture of these bacte-ria is meaningful because river water3,10) and river sediment3)

contamination with both triazines has been reported.To take advantage of these useful properties of CD7 and Char-

coal A100, this study describes the development of CharcoalA100 enriched with strain FJ1117YT and CD7, and demonstra-tion of the simultaneous degradation of chloro- and methylthio-s-triazines using this novel material.

Materials and Methods

1. MaterialsSimazine, atrazine, simetryn, and dimethametryn were purchasedfrom Kanto Kagaku. Cyanuric acid and simazine-2-hydroxy werepurchased from Dr. Ehrenstorfer GmbH. The sulfur-free mineralsalt medium (MM) used in this study contained Na2HPO4·12H2O1.2 g/l and KH2PO4 0.5 g/l. Prior to autoclaving, the medium wassupplemented with 10 ml/l of a sulfur-free solution of trace ele-ments, which contained MgCl2· 6H2O 2000 mg/l, FeCl2·H2O 200mg/l, ZnCl2 10 mg/l, MnCl2 5 mg/l, CoCl2 24 mg/l, CuCl2 5 mg/l,NiCl2· 6H2O 5 mg/l, Na2MoO4 5 mg/l, H3BO4 30 mg/l, Ca(OH)2

50 mg/l, and EDTA 500 mg/l. Mineral salt medium containingsulfate (MM�S) was also used. MM�S contained MgSO4 20mg/l and a solution of trace elements described by Yanze-Kontchou and Gschwind.11) MM and MM�S were supplementedwith s-triazines before autoclaving. Vitamin mixture was used asdescribed by Fujii et al.9)

2. Analytical methodsThe concentration of s-triazines in the medium was determinedusing HPLC (Tosoh) using the following method. Separation ofs-triazines was achieved at 40°C on an ODS column (Capcell PakC18 UG120 3�250 mm, 5 mm particle size; Shiseido) with a mo-

J. Pestic. Sci., 33(3), 266–270 (2008)DOI: 10.1584/jpestics.G08-08

Note

* To whom correspondence should be addressed.E-mail: [email protected] online July 14, 2008© Pesticide Science Society of Japan

Page 109: Agricultural Applications for Pine-Based BioChar

bile phase containing a gradient mixture of acetonitrile and water(20%/80% 0 min–20%/80% 5 min, linear gradient–40%/60% 11min, and linear gradient–20%/80% 15 min–20%/80% 20 min).The injection volume was 50 m l and the eluted compounds weredetected by UV at 220 nm. Metabolites of s-triazines were deter-mined using LC-ESI-MS. Separation was achieved using LC Al-liance 2695 (Waters) system equipped with the same ODS col-umn as above (40°C). A mixture of acetonitrile/0.2% acetic acidwas used as the eluent (5%/95% 0 min, linear gradient–50%/50%10 min–80%/20%10.1 min–80%/20% 15 min, and linear gradi-ent–5%/95% 20 min). The injection volume was 10 m l. The ESI-MS system was Quattro micro API (Waters) with the flow rate ofnebulization set at 100 l/h and the flow rate for desolvation gas(N2) set at 500 l/h. The respective temperatures of source and desolvation were set at 100 and 350°C; and capillary voltage was3.5 kV. Detection was performed by scanning between m/z 100and m/z 300 under cone voltage of 35 V in positive ion mode.Cyanuric acid was detected at m/z 128 [M�H]� under cone volt-age of 23 V in negative ion mode, and simazine-2-hydroxy wasm/z 184 [M�H]� under cone voltage of 35 V in positive ionmode.

3. Enrichment of Charcoal A100 with strain FJ1117YT andCD7

Charcoal A100 (Toyo Denka Kogyo) was used as the enrichmentmaterial. Enrichment of charcoal with a bacterial consortium wasperformed using a charcoal perfusion method, which was modi-fied from the soil perfusion method described by Audus.12) First,washed Charcoal A100 (7.5 g, dry weight) was packed in perfu-sion apparatus equipped with glass sintered filter, and then auto-claved. Subsequently, three pieces of stab cultures of CD7 on aMM agar plate containing 40 mg/l simazine were placed on thecharcoal, and the charcoal layer was covered with glass fiber filterpaper. Enrichment was performed in the dark at 25°C. MM (300ml) containing 5 mg/l simazine was perfused with air lift using anair pump for 14 days. The concentration of simazine in the perfu-sion fluid was determined by HPLC, and the perfusion fluid wasreplaced twice. After 14 days, the glass fiber filter paper was re-placed. A phosphate buffer suspension of strain FJ1117YT wasplaced on the filter paper. MM (300 ml) containing 5 mg/lsimazine, 5 mg/l simetryn was perfused under similar conditionsfor 21 days, and the perfusion fluid was replaced once during theperfusion process. Lastly, MM (300 ml) containing 5 mg/l sime-tryn was used as perfusion fluid for 38 days, and was replacedonce. The vitamin mixture was added twice. Total enrichmenttime was 73 days, and this material was used thereafter. Non-en-riched Charcoal A100 was also perfused as a control under thesame conditions.

4. Preparation of DNA and analysis of 16S rRNA geneAdherent bacteria on the surface of Charcoal A100 enriched withstrain FJ1117YT and CD7 were removed by sonication in phos-phate buffer for 2 min. Charcoal A100 inhabited with strainFJ1117YT and CD7 was pulverized, and total DNA was ex-tracted with Fast DNA Kit for soil (Q-Bio gene). Total DNA of

strain FJ1117YT and each member of CD7 were extracted fromsuspensions of bacterial colonies grown on R2A agar (Difco)plates by a protocol for gram-positive bacteria of DNeasy Blood& Tissue Kit (QIAGEN). Nucleotide sequences of 16S rRNAgenes of isolated bacteria were analyzed by direct sequencing ofthe PCR products described previously.5)

5. Denaturing gradient gel electrophoresis (DGGE) analy-sis

Touchdown PCR was performed with a TP600 thermal cycler(Takara BIO) using GoTaq Green Master Mix (Promega). GM5F-gc-clamp and R534,13) primers designed from a sequence of thevariable V3 region of 16S rRNA, were used for PCR. DGGEanalysis was performed using 6% polyacrylamide gel (ratio ofacrylamide to bisacrylamide 37.5 : 1) in 1�TAE (40 mM Trisbase, 20 mM acetic acid, and 1 mM EDTA) with a 30% to 60%denaturant gradient (100% denaturant containing 7 M urea and40% formamide). Electrophoresis was performed at a constantvoltage of 150 V and at a temperature of 60°C for 3.5 h by usingthe DcodeTM universal mutation detection system (Bio-Rad).After electrophoresis was completed, the gel was stained withSYBR gold (Invitrogen) for 20 min, rinsed, and the bands werevisualized with a Molecular Imager Pharos FX plus system (Bio-Rad).

6. Simultaneous degradation of chloro- and methylthio-s-tri-azines using Charcoal A100 enriched with strainFJ1117YT and CD7

Charcoal A100 enriched with strain FJ1117YT and CD7 (0.4 gdry weight) was inoculated in MM (30 ml) containing 5 mg/leach of simazine, atrazine, simetryn, and dimethametryn or inMM�S containing 5 mg/l of each herbicide in 50 ml flasks. Theflasks were shaken at 120 rpm at 25°C for 15 days. As controls,sterile Charcoal A100 and/or Charcoal A100 enriched with onlyCD7 were inoculated and shaken under the same conditions. Theconcentration of s-triazines in the medium was determined peri-odically by HPLC. Cyanuric acid, simazine-2-hydroxy, and hy-droxy analogues of atrazine and dimethametryn in the mediumafter 15 days were measured by LC-ESI-MS.

Results and Discussion

1. Enrichment of Charcoal A100 with a bacterial consor-tium

The extent of enrichment of Charcoal A100 with strainFJ1117YT and CD7 was determined from the change in the con-centration of simazine and simetryn in the perfusion fluid. In thefirst step of enrichment, CD7 was enriched in Charcoal A100.Concentration of simazine in the CD7-inoculated charcoal de-creased faster than the control, and the degradation rate ofsimazine increased with every replacement of the perfusion fluid(data not shown). The charcoal was subsequently further enrichedwith strain FJ1117YT and perfused with MM containingsimazine and simetryn. Simazine was degraded almost immedi-ately (Fig. 1-A until Day21), in contrast to the slow degradationof simetryn (Fig. 1-B until Day21). The disappearance rate of

Vol. 33, No. 3, 266–270 (2008) Simultaneous biodegradation of chloro- and methylthio-s-triazines 267

Page 110: Agricultural Applications for Pine-Based BioChar

simetryn was initialing almost the same as that of control, but in-creased after the second perfusion (Fig. 1-B on Day8). The de-crease of pesticides in sterile Charcoal A100 was considered tooccur because pesticides were adsorbed on Charcoal A100. Inorder to aid the growth of strain FJ1117YT,9) vitamin mixturewas added but had little effect on the enrichment of FJ1117YT.However, because the enrichment of CD7 was sufficient, MMcontaining simetryn without simazine was further perfused (Fig.1-B after Day21), and the degradation rate of simetryn was fur-ther increased. This result indicates the enrichment of strainFJ1117YT in Charcoal A100.

2. Detection of bacterial community in Charcoal A100 en-riched with strain FJ1117YT and CD7

Colony isolation from the bacterial consortium CD7 and subse-quent analyses of 16S rRNA genes revealed that CD7 consistedof Bradyrhizobium japonicam CSB1, Arthrobacter sp. CD7w andstrain CDB21. The presence of all members of CD7 and strainFJ1117YT enriched in Charcoal A100 were confirmed by PCR-DGGE analyses (Fig. 2).

3. Simultaneous degradation of chloro- and methylthio-s-tri-azines, and detection of their metabolites

Charcoal A100 enriched with strain FJ1117YT and CD7 was ap-plied to simultaneous degradation of chloro- and methylthio-s-tri-azines. Simazine and atrazine were degraded to by 80–100% withCharcoal A100 enriched with both strain FJ1117YT and CD7 orCD7 alone after 9 days, and were completely degraded after 15days (Fig. 3-A, B). On the other hand, simetryn and dimethame-tryn were degraded by over 80% with strain FJ1117YT and CD7enriched charcoal in sulfur-free medium, but they were not de-graded in the presence of sulfate (in MM�S) (Fig 3-C, D). In thesulfur-free medium with strain FJ1117YT and CD7 after 15 days,the concentrations of simazine-2-hydroxy and cyanuric acid were

less than 0.1 mg/l and hydroxy analogues of atrazine anddimethametryn were not detected (data not shown). This resultsuggests that hydroxyl analogues of methylthio-s-triazines, whichcan not be metabolized by strain FJ1117YT, were mineralized byCD7 via N-ammelide analogue and cyanuric acid. These resultsalso indicate that methylthio-s-triazines could be mineralized bythe bacterial consortium that included strain FJ1117YT and CD7.

In conclusion, the respective degradation abilities of CD7 andstrain FJ1117YT were successfully maintained in Charcoal

268 K.-i. Yamazaki et al. Journal of Pesticide Science

Fig. 1. Enrichment of strain FJ1117YT and CD7 in Charcoal A100 using a charcoal perfusion method. Changes in the concentrations ofsimazine (A) and simetryn (B) during enrichment are illustrated (both figures overlapped until 21 days). Charcoal A100 without enrichment wasused as a control. In order to enrich CD7, MM containing 5 mg/l simazine was perfused for 14 days before these data. The arrows indicate as fol-lows: replacement with MM containing simazine and simetryn (black), replacement with MM containing simetryn (white), and addition of vita-min mixture (striped).

Fig. 2. PCR-DGGE band profiles of bacterial strains inhabitingCharcoal A100. Each lane represents DNA samples extracted fromthe following specimens: Charcoal A-100 enriched with FJ1117YTand CD7 (A); FJ1117YT (B); CDB21 (C); CSB1 (D); and CD7w(E).

Page 111: Agricultural Applications for Pine-Based BioChar

A100. Chloro- and methylthio-s-triazines were degraded simulta-neously and their metabolites were hardly detected. The expectedmetabolic pathways of chloro- and methylthio-s-triazines in themixed culture are shown in Fig. 4. Degradation of methylthio-s-triazines by the bacterial consortium, strain FJ1117YT and CD7,was suppressed by the presence of sulfate (Fig. 3) as well as theculture of strain FJ1117YT reported previously.9) However, Char-

coal A100 enriched with strain FJ1117YT and CD7 could be apromising model to construct a multifunctional material enrichedwith bacterial consortium for in situ bioremediation. On the basisof this study, we will attempt to construct another charcoal mate-rial, which will include methylthio-s-triazines-degrading bacteriathat are not suppressed by external sulfur sources.

Vol. 33, No. 3, 266–270 (2008) Simultaneous biodegradation of chloro- and methylthio-s-triazines 269

Fig. 3. Time course of simultaneous degradation of chloro- and methylthio-s-triazines with Charcoal A100 enriched with strain FJ1117YTand CD7. Degradation of simazine (A), atrazine (B), simetryn (C), and dimethametryn (D) by strain FJ1117YT and CD7 with (�) or without(�) sulfate, with CD7 alone (�), and using non-enriched Charcoal A100 as a control (�) are shown.

Fig. 4. The expected metabolic pathways of chloro- and methylthio-s-triazines degraded by CD7 (strain CDB21) and strain FJ1117YT.Simazine (R1, R2�C2H5) and atrazine [R1�C2H5, R2�CH(CH3)2] were selected as chloro-s-triazines, and simetryn (R1, R2�C2H5) anddimethametryn [R1�C2H5, R2�CH(CH3)CH(CH3)2] were used as methylthio-s-triazines in this study.

Page 112: Agricultural Applications for Pine-Based BioChar

Acknowledgments

This work was supported in part by a Grant-in-aid (Hazardous Chem-icals) from the Ministry of Agriculture, Forestry, and Fisheries ofJapan (HC-05-2441-1).

References

1) D. A. Belluck, S. L. Benjamin and T. Dawson: ACS Symp. Scr.459, 254–273 (1991).

2) F. E. Pick, L. P. van Dyk and E. Botha: Chemosphere 25,335–341 (1992).

3) C. J. Miles and R. J. Pfeuffer: Arch. Environ. Contam. Toxicol.32, 337–345 (1997).

4) K. Takagi, A. Iwasaki and Y. Yoshioka: Proceedings of the 2ndinternational conference on soil pollution and remediation, Nan-jing 228–230 (2004).

5) A. Iwasaki, K. Takagi, Y. Yoshioka, K. Fujii, Y. Kojima and N.Harada: Pest. Manag. Sci. 63, 261–268 (2007).

6) A. Tanabe, H. Mitobe, K. Kawata and M. Sakai: J. Chromatogr.A 754, 159–168 (1996).

7) M. Sudo, T. Kunimatsu and T. Okubo: Wat. Res. 36, 315–329(2002).

8) T. Kawakami, H. Eun, T. Arao, S. Endo, M. Ueji, K. Tamura andT. Higashi: J. Pestic. Sci. 31, 6–13 (2006).

9) K. Fujii, K. Takagi, S. Hiradate, A. Iwasaki and N. Harada: Pest.Manag. Sci. 63, 254–260 (2007).

10) http://web.nies.go.jp/edc/edrep/report/1-1-2-1.htm (in Japanese)11) C. Yanze-Kontchou and N. Gschwind: Appl. Environ. Microbiol.

60, 4297–4302 (1994).12) L. J. Audus: Nature 158, 419–419 (1946).13) G. Muyzer, E. de Waal and A. Uitterlinden: Appl. Environ. Mi-

crobiol. 59, 695–700 (1993).

270 K.-i. Yamazaki et al. Journal of Pesticide Science

Page 113: Agricultural Applications for Pine-Based BioChar

Transactions of the ASABE

Vol. 51(6): 2061-2069 � 2008 American Society of Agricultural and Biological Engineers ISSN 0001-2351 2061

EFFECT OF LOW‐TEMPERATURE PYROLYSIS CONDITIONS

ON BIOCHAR FOR AGRICULTURAL USE

J. W. Gaskin, C. Steiner, K. Harris, K. C. Das, B. Bibens

ABSTRACT. The removal of crop residues for bio‐energy production reduces the formation of soil organic carbon (SOC) andtherefore can have negative impacts on soil fertility. Pyrolysis (thermoconversion of biomass under anaerobic conditions)generates liquid or gaseous fuels and a char (biochar) recalcitrant against decomposition. Biochar can be used to increaseSOC and cycle nutrients back into agricultural fields. In this case, crop residues can be used as a potential energy source aswell as to sequester carbon (C) and improve soil quality. To evaluate the agronomic potential of biochar, we analyzed biocharproduced from poultry litter, peanut hulls, and pine chips produced at 400°C and 500°C with or without steam activation.The C content of the biochar ranged from 40% in the poultry litter (PL) biochar to 78% in the pine chip (PC) biochar. Thetotal and Mehlich I extractable nutrient concentrations in the biochar were strongly influenced by feedstock. Feedstocknutrients (P, K, Ca, Mg) were concentrated in the biochar and were significantly higher in the biochars produced at 500°C.A large proportion of N was conserved in the biochar, ranging from 27.4% in the PL biochar to 89.6% in the PC biochar. Theamount of N conserved was inversely proportional to the feedstock N concentration. The cation exchange capacity wassignificantly higher in biochar produced at lower temperature. The results indicate that, depending on feedstock, somebiochars have potential to serve as nutrient sources as well as sequester C.

Keywords. Agricultural residues, Biochar, Bioenergy, Black carbon, Carbon sequestration, Charcoal, Plant nutrition,Pyrolysis, Soil fertility, Soil organic carbon.

yrolysis of crop residues to produce renewable ener‐gy is one option to reduce the use of fossil fuels. Py‐rolysis generates biochar, oil, and gas products thatcan all be used as fuels (Ioannidou and Zabaniotou,

2007). Pyrolytic biochar can also potentially be used as a low‐cost sorbent (Ioannidou and Zabaniotou, 2007) or as a soilamendment to improve soil fertility and sequester carbon(Lehmann et al., 2006; Steiner, 2007). Removal of crop resi‐dues for energy production can have deleterious effects onsoil organic carbon (SOC) and consequently on soil fertility(Lal, 2004). Pyrolysis of crop residues with C returned to thesoil in the form of biochar may help maintain or increasestable SOC pools and cycle nutrients back into agriculturalfields. Pyrolysis with biochar C sequestration may offer anoption to reduce the conflict between cultivating crops fordifferent purposes, e.g., energy vs. C sequestration or food.

There are several lines of evidence that charcoal plays animportant role in soil fertility. Charcoal has been identifiedas an important soil constituent in fertile Chernozems(Schmitdt et al., 1999) and in anthropogenic enriched dark

Submitted for review in August 2008 as manuscript number SW 7634;approved for publication by the Soil & Water Division of ASABE inNovember 2008.

The authors are Julia W. Gaskin, Sustainable Agriculture Coordinator,Christoph Steiner, Post‐Doctoral Associate, Keith Harris, Technician, K.C. Das, Associate Professor, and Brian Bibens, Research Engineer,Department of Biological and Agricultural Engineering, DriftmierEngineering Center, University of Georgia, Athens, Georgia.Corresponding author: Julia W. Gaskin, Department of Biological andAgricultural Engineering, Driftmier Engineering Center, University ofGeorgia, Athens, GA 30602; phone: 706‐542‐1401; fax: 706‐542‐1886;e‐mail: [email protected].

soil (Terra Preta) found throughout the lowland portion of theAmazon Basin (Glaser et al., 2000). Research on tropicalsoils indicates that charcoal amendments can increase andsustain soil fertility (Steiner et al., 2007). The beneficial ef‐fects appear to be related to alterations in soil physical, chem‐ical, and biological properties, such as reduced acidity(Topoliantz et al., 2005), increased cation exchange capacity(CEC) (Cheng et al., 2008; Liang et al., 2006), enhanced ni‐trogen (N) retention (Lehmann et al., 2003; Steiner et al.,2008b), increased microbiological activity (Steiner et al.,2008a), and increased mycorrhizal associations (Warnock etal., 2007). Research on the effect of wildfire charcoal in for‐est ecosystems indicates that it stimulates microbial activity(Pietikäinen et al., 2000) and influences nitrogen cycling(Berglund et al., 2004; DeLuca et al., 2006; Wardle et al.,1998). Research also indicates that charcoal is recalcitrant(Seiler and Crutzen, 1980), and it may persist for hundreds orthousands of years.

Charcoals produced from wildfire or traditional charcoalproduction may have different chemical and physical charac‐teristics from pyrolytic biochars created under specific con‐ditions for energy production. Both feedstock and pyrolysisconditions such as temperature and carrier gas affect thechemical and physical characteristics of biochar (Antal andGrønli, 2003; Bansal et al., 1988; Benaddi et al., 2000; Guoand Rockstraw, 2007a; Strelko et al., 2002). Most of the liter‐ature discusses high‐temperature biochars that are producedat greater than 500°C or activated carbon typically producedat 800°C. As pyrolysis temperatures increase, volatile com‐pounds in the biochar matrix are lost, surface area and ash in‐crease, but surface functional groups that can provideexchange capacity decrease (Guo and Rockstraw, 2007a).

P

Page 114: Agricultural Applications for Pine-Based BioChar

2062 TRANSACTIONS OF THE ASABE

Pyrolysis of nutrient‐rich feedstock is likely to producenutrient‐rich biochar, but nutrient conservation and availabil‐ity in biochars is not well understood. Nutrients susceptibleto volatilization such as N are almost completely lost after aburn (Giardina et al., 2000). Whether elements are retainedduring pyrolysis, the availability of nutrients for plants, andthe effect of pyrolysis conditions on these characteristics areunclear. For biochar to be used in agriculture, a better under‐standing of its properties and how it affects soil fertility isneeded. Therefore, our objectives were to determine the ef‐fect of feedstock, temperature, and carrier gas on key charac‐teristics of biochar for agricultural use. Specifically, wewished to compare characteristics critical for agricultural useincluding pH, CEC, total nutrient concentrations, and poten‐tially available nutrient concentrations in biochars from threefeedstocks under two temperature regimes using two carriergases with and without secondary steam activation.

MATERIALS AND METHODSBIOCHAR PRODUCTION

We selected three common feedstocks to represent a rangeof physical properties and mineral content: raw poultry litterfrom broiler houses (Gallus domesticus, PL), pelletized pea‐nut hulls (Arachis hypogaea, PN), and raw pine chips (Pinustaeda, PC). Biochars were produced in a batch pyrolysis unitat two peak temperatures (400°C and 500°C) with eithersteam or nitrogen (N2) as a carrier gas. The biochars producedwith N2 as a carrier gas were produced with or without steamactivation at the original pyrolysis temperatures (400°C and500°C). Each of the production combinations (three feed‐stocks, three pyrolysis types, two temperatures = 18) was rep‐licated three times. The conversion efficiency was calculatedas the percentage of the feedstock input (dry weight, DW) andbiochar output (biochar DW / feedstock DW).

CHEMICAL ANALYSESBiochars were ground in a ball mill to pass a 300 �m sieve

before nutrient analysis. Feedstock and the biochars wereanalyzed for total C, N, and sulfur (S) by dry combustion(CNS‐2000, Leco Corp., St. Joseph, Mich.). Total mineralswere extracted using a closed‐vessel microwave digestionwith HNO3 (USEPA method 3050; USEPA, 1994). A Meh‐lich I extraction (0.05 M HCl + 0.0125 M H2SO4) (Mehlich,1953) was also used on biochar samples as an index of poten‐tially plant‐available nutrients. Aluminum, Cu, Ca, Fe, Mg,Mn, P, K, Na, and Zn were measured by inductively coupledplasma spectrometry (ICP, Thermo Jarrell‐Ash model 61E,Thermo Fisher Scientific, Waltham, Mass.).

Biochar pH was measured in deionized water using a 1 to5 wt/wt ratio. Samples were thoroughly mixed and allowedto equilibrate for 1 h. The pH was measured with a digital pHmeter (AR15, Thermo Fisher Scientific, Waltham, Mass.).

Cation exchange capacity of the biochar was measured bya modified ammonium‐acetate compulsory displacement

(Sumner and Miller, 1996). Samples were leached with de‐ionized water five times before starting the CEC extractionto reduce interference from soluble salts. Twenty mL of de‐ionized water was added to a 1 g sample of biochar in a dis‐posable nalgene 0.45 �m cellulose nitrile filter flask. Theflask was placed on an orbital shaker and shaken at 180 rpmfor 5 minutes. The sample was vacuum filtered, and the lea‐chate was saved for further analysis. After the fifth wash,10�mL of Na‐acetate (pH 7) was added to the sample, and themixture shaken for 10 min. This process was repeated threetimes to ensure that exchange sites were saturated with Naions. Biochar samples were then washed three times withethanol to remove excess Na. Sodium ions were displacedwith NH4‐acetate (pH 7) three times and measured by atomicadsorption (PE 4100ZL, Perkin Elmer, Waltham, Mass.).

The reserved leachate from the five washings (CEC proce‐dure above) was composited and analyzed for dissolved car‐bon (DC), dissolved inorganic carbon (DIC), ammonium‐nitrogen (NH4-N), and nitrate‐nitrogen (NO3

-N). Dissolvedcarbon and DIC was measured by combustion (ShimadzuTOC‐5050A, Shimadzu, Columbia, Md.). Dissolved organicC (DOC) was calculated by difference (DOC = DC - DIC).Nitrate‐nitrogen and NH4-N were analyzed on anautoanalyzer using cadmium reduction and phenatecolorimetric methods (EnviroFlow 3000, Perstorp, Toledo,Ohio).

STATISTICAL ANALYSESTreatment effects were analyzed by general linear model

(GLM) univariate analysis of variance (ANOVA). Thedetection limit was used for results below the detection limit,if other results were above the limit. This allowed aconservative estimate of the elemental concentration of thebiochar. If all results were below the detection limit, then nostatistical analysis was performed. Significant differences(p�< 0.05) between the feedstock and treatments wereseparated by the Tukey test. Statistical analyses and plotswere performed using SPSS 12.0 and SigmaPlot 8.02 (SPSS,Inc., Chicago, Ill.).

RESULTS AND DISCUSSIONSteam pyrolysis of the peanut hull pellets in the batch reactor

presented difficulties due to excessive swelling by the peanuthull feedstock that clogged the reactor. Low‐temperature steampyrolysis in a batch reactor may not be appropriate for thisfeedstock. Analysis of PC and PL biochars revealed nodifference in total nutrients, Mehlich I extractable nutrients,CEC, or pH between steam and N2 as carrier gas; consequently,we report on the results from pyrolysis with the N2 carrier gaswith or without subsequent steam activation.

INFLUENCE OF FEEDSTOCK

The total element concentrations in the feedstock had thestrongest influence on the chemical composition of the

Table 1. Total element concentrations in the three agricultural feedstocks used for pyrolysis at 400°C and 500°C.

Feedstock

Values in g kg‐1 Values in mg kg‐1

C N P K S Ca Mg Al Fe Na Cd Cr Cu Mn B Mo Ni Zn

Poultry litter (PL) 326 45.1 19.5 29.5 5.8 28.0 5.66 6.32 3.91 9.27 1.4 7.3 381 377.0 49.9 3.5 8.0 414Peanut hulls (PN) 552 13.6 0.61 5.06 0.9 1.84 0.79 0.92 0.42 0.04 <1 2.0 36.5 44.0 15.2 15.6 1.5 20.2Pine chips (PC) 571 0.9 0.08 0.59 0 0.75 0.21 0.03 0.13 0.04 <1 2.1 1.7 13.8 2.1 <1.0 <2.0 47.8

Page 115: Agricultural Applications for Pine-Based BioChar

2063Vol. 51(6): 2061-2069

Table 2a. Means and standard errors for pH, CEC, and total macronutrient concentrations in poultry litter, peanuthull, and pine chip biochars. Feedstock and temperature columns indicate significant differences (p < 0.05, n = 3).[a]

Poultry Litter (PL) Peanut Hulls (PN) Pine Chips (PC)

Feedstock

Temp.

400°C 500°C 400°C 500°C 400°C 500°C

Biochar SA Biochar SA Biochar SA Biochar SA Biochar SA Biochar SA

pH(S.U.)

10.1±0.04

10.1±0.07

9.74±0.05

9.88±0.09

10.5±0.05

10.5±0.10

10.1±0.02

9.96±0.01

7.55±0.09

7.99±0.09

8.30±0.15

8.10±0.60 PC<PL<PN

CEC(cmol kg‐1)

61.1±0.73

57.4±1.4

38.3±1.7

37.0±1.6

14.2±0.46

11.7±2.04

4.63±0.10

4.46±0.13

7.27±0.54

6.00±0.11

5.03±0.85

6.02±3.12 PC<PN<PL 500<400

C(g kg‐1)

392±3.8

399±7.4

392±8.6

421±23

732±14

762±3.4

804±1.7

806±5.8

739±17

761±3.6

817±1.9

820±17 PL<PN, PC 400<500

N(g kg‐1)

34.7±0.79

34.7±0.77

30.9±0.89

32.3±1.6

24.3±0.18

24.0±0.37

24.8±0.89

24.8±0.34

2.55±0.40

1.95±0.06

2.23±0.09

2.20±0.12 PC<PN<PL 500<400

P(g kg‐1)

30.1±0.16

32.2±2.3

35.9±1.6

34.8±2.6

1.83±0.11

1.70±0.12

1.97±0.03

2.06±0.11

0.15±0.004

0.14±0.004

0.14±0.02

0.20±0.02 PC<PN<PL 400<500

K(g kg‐1)

51.1±1.3

52.6±4.9

58.6±2.9

54.7±1.5

15.2±0.58

14.40±1.40

16.4±0.19

16.5±0.79

1.45±0.06

1.51±0.07

1.45±0.18

2.25±0.25 PC<PN<PL 400<500

Ca(g kg‐1)

42.7±0.30

45.7±3.0

50.4±2.2

49.1±3.7

4.62±0.06

4.46±0.29

5.12±0.12

5.21±0.20

1.71±0.11

1.69±0.02

1.85±0.14

2.17±0.04 PC<PN<PL 400<500

Mg(g kg‐1)

10.7±0.23

11.4±0.91

12.9±0.50

12.4±1.0

2.19±0.06

2.17±0.16

2.50±0.05

2.59±0.11

0.60±0.04

0.58±0.03

0.59±0.06

0.76±0.01 PC<PN<PL 400<500

S(g kg‐1)

13.67±0.39

12.3±0.09

13.93±1.1

13.9±0.37

0.56±0.02

0.51±0.03

0.55±0.09

0.37±0.09

0.01±0.04

0.16±0.05

0.06±0.01

0.08±0.04 PC, PN<PL

[a] SA = steam activation.

Table 2b. Means and standard errors for total micronutrient and selected element concentrations in poultry litter, peanuthull, and pine chip biochars. Feedstock and temperature columns indicate significant differences (p < 0.05, n = 3).[a]

Poultry Litter (PL) Peanut Hulls (PN) Pine Chips (PC) Feedstock Temp.

400°C 500°C 400°C 500°C 400°C 500°C

Biochar SA Biochar SA Biochar SA Biochar SA Biochar SA Biochar SA

Al(g kg‐1)

9.87±1.36

8.12±1.59

13.02±0.36

14.25±1.97

2.40±0.07

2.33±0.16

2.73±0.05

2.81±0.13

0.07±0.01

0.05±0.005

0.07±0.01

0.06±0.008 PC, PN<PL 400<500

Fe(g kg‐1)

6.06±0.52

5.55±0.42

8.03±0.55

8.89±1.27

1.00±0.02

0.97±0.07

1.15±0.02

1.20±0.06

0.15±0.11

0.04±0.007

0.05±0.01

0.20±0.07 PC, PN<PL 400<500

Na(g kg‐1)

15.1±0.31

15.8±1.37

17.2±1.02

16.6±1.12

0.026±0.001

0.028±0.006

0.035±0.004

0.044±0.005

<0.014±0.004

0.053±0.032

0.013±0.002

0.075±0.054 PN, PC<PL

B(mg kg‐1)

91.5±3.16

96.0±8.25

100±0.31

93.0±3.98

32.5±1.57

29.9±2.87

33.7±0.27

34.1±1.15

5.69±0.30

6.69±0.21

4.21±0.62

6.94±1.33 PC<PN<PL

Cd(mg kg‐1)

2.75±0.73

<2.65±0.83 <1

<1.10±0.10

<1.35±0.35

<1.35±0.35 <1 <1 <1 <1 <1 <1

Cr(mg kg‐1)

28.0±4.1

28.8±5.2

59.4±3.3

56.1±4.5

3.95±0.31

3.00±0.57

3.63±0.31

3.94±0.16 <1

1.23±0.09

3.43±0.88

17.7±5.9 PN, PC<PL 400<500

Cu(mg kg‐1)

805±23

880±49

1034±68

943±81

16±0.60

13±1.27

19±0.50

19±1.84

25±7.03

10±6.18

9±2.34

13±5.57 PC, PN<PL 400<500

Mn(mg kg‐1)

596±5.6

637±37

725±29

697±46

116±2.3

116±8.0

131±2.3

136±5.7

274±9.3

269±7.8

258±30

350±4.0 PN<PC<PL 400<500

Mo(mg kg‐1)

17.1±5.3

12.1±0.41

14.2±1.1

13.8±1.2

4.78±3.6 <1 <1 <1 <1 <1 <1

<4.11±3.11 PC, PN<PL

Ni(mg kg‐1)

13.6±0.00

19.5±3.7

20.3±1.1

29.1±8.4

<2.29±0.29

<2±0

<2±0

<10.4±8.0

<2±0

<2±0

<2.91±0.55

17.5±14.7 PC, PN<PL

Zn(mg kg‐1)

628±12

680±41

752±28

728±50

35±2.2

31±2.9

37±2.1

36±0.00

15±1.1

16±0.7

18±0.6

20±2.4 PC, PN<PL 400<500

[a] SA = steam activation; < indicates mean contains results below the detection limit; ±0.00 indicates all results were near instrument detection limit.

biochar. Concentrations of plant nutrients in the feedstocksgenerally followed the pattern of PC < PN < PL. Feedstockcarbon concentrations had the opposite pattern, with PL < PN< PC (table 1).

There were significant differences in C concentrations inthe biochar, with PL containing less C than the PN or PCbiochar (table 2a). The nutrient‐rich poultry litter containsrelatively more minerals than the other feedstocks, which

decreases the C content. Nitrogen, P, K, Ca, and Mgconcentrations in the biochar were significantly different,with PC < PN < PL (table�2a). The concentration of themicronutrients B, Cu, Fe, Mn, Na, and Zn were significantlyhigher in PL biochar (p < 0.05), but there were no differencesdetected between the PN and PC biochars except for Mn(table 2b). Concentrations of metals such as Al, Cr, Ni, andMo were low. The PL biochar contained the highest

Page 116: Agricultural Applications for Pine-Based BioChar

2064 TRANSACTIONS OF THE ASABE

Figure 1. Percentages with standard errors of feedstock nutrients conserved in the biochar and percentages of total nutrients that were Mehlich Iextractable at two pyrolysis temperatures and in three biochars. Letters above the columns indicate significant difference of nutrients conservedbetween biochar types (p < 0.05, n = 3). Letters within columns indicate significant difference in the percentage of total nutrients that were Mehlich�Iextractable (p < 0.05, n = 3).

concentrations of these metals, as would be expected fromthe higher feedstock concentrations. Cadmium was belowthe detection limit in PC biochars and near or at the detectionlimits in PL and PN biochars (table 2b).

The amount of N conserved ranged from 27.4% in the PLbiochar to 89.6% in the PC biochar and was inverselyproportional to the feedstock N concentration (fig. 1b andtable 1). The higher N losses seen from the PL were likely dueto the volatilization of the poultry manure NH4-N and easilydecomposable N-containing organic compounds in themanure, such as uric acid. In contrast, the low concentrationof N in the PC feedstock is likely to be incorporated intocomplex structures that are not easily volatilized.

About 60% of the P in the PL and PC feedstock wasretained in the PL and PC biochar, while nearly 100% of theP in the PN feedstock was retained in the PN biochar (fig. 1c).

In general, the PL biochar had a lower proportion of nutrientsretained than the PN or the PC biochar (figs. 1c through 1f).This may be due to a higher proportion of some of theseelements retained in the aqueous/bio‐oil fraction in PLbiochar (K. C. Das, 2007, unpublished data, University ofGeorgia, Athens, Ga.).

The pattern of Mehlich I extractable concentrations wassimilar to that of the total nutrient concentrations (tables 3aand 3b). There were significant differences in Mehlich Iextractable P, K, Ca, and Mg concentrations, with PC < PN< PL. There were differences by feedstock in the percentageof the total nutrients that were Mehlich I extractable (figs. 1athrough 1f). Only 19% of the PL biochar P was Mehlich Iextractable compared to over 40% in the PN biochar (400°C,fig. 1c). About 90% of the PL biochar K was Mehlich Iextractable compared to only 45% in the PN biochar (400°C,

Page 117: Agricultural Applications for Pine-Based BioChar

2065Vol. 51(6): 2061-2069

Table 3a. Means and standard errors of the Mehlich I macronutrient concentrations in poultry litter, peanut hull,and pine chip biochars. Feedstock and temperature columns indicate significant differences (p < 0.05, n = 3).[a]

Poultry Litter (PL) Peanut Hulls (PN) Pine Chips (PC) Feedstock Temp.

400°C 500°C 400°C 500°C 400°C 500°C

Biochar SA Biochar SA Biochar SA Biochar SA Biochar SA Biochar SA

P(g kg‐1)

5.58±0.31

4.09±1.22

5.33±0.18

4.66±0.20

0.76±0.02

0.67±0.06

0.57±0.04

0.59±0.03

0.03±0.002

0.034±0.004

0.04±0.008

0.06±0.03 PC<PN<PL

K(g kg‐1)

46.2±0.96

34.1±8.40

38.1±2.68

40.0±2.81

6.84±0.16

6.28±0.67

5.91±0.28

6.76±0.30

0.30±0.009

0.38±0.02

0.41±0.06

0.97±0.32 PC<PN<PL

Ca(g kg‐1)

3.34±0.84

1.95±0.82

2.21±0.36

1.63±0.13

1.68±0.02

1.48±0.15

1.19±0.06

1.22±0.06

0.30±0.04

0.31±0.05

0.43±0.10

0.39±0.16 PC<PN<PL

Mg(g kg‐1)

3.09±0.28

2.19±0.68

3.03±0.13

2.92±0.05

0.80±0.03

0.62±0.09

0.37±0.02

0.39±0.01

0.05±0.008

0.06±0.009

0.06±0.01

0.08±0.04 PC<PN<PL

[a] SA = steam activation.

Table 3b. Means and standard errors of the Mehlich I micronutrient and selected element concentrations in poultry litter,peanut hull, and pine chip biochars. Feedstock and temperature columns indicate significant differences (p < 0.05, n = 3).[a]

Poultry Litter (PL) Peanut Hulls (PN) Pine Hips (PC) Feedstock Temp.

400°C 500°C 400°C 500°C 400°C 500°C

Biochar SA Biochar SA Biochar SA Biochar SA Biochar SA Biochar SA

Al(g kg‐1)

0.47±0.11

11.3±2.24

1.43±0.31

1.52±0.24

330±24

585±213

1129±32

1360±51

6.17±0.59

6.35±0.53

7.53±1.12

12.12±4.76 PL, PC<PN 400<500

Fe(g kg‐1)

0.66±0.21

3.16±0.08

0.06±0.007

0.19n = 1

140±2.2

142±18

197±3.8

221±11

3.72±0.26

4.58±0.19

14.6±2.89

33.3±8.39 PL, PC<PN 400<500

Na(g kg‐1)

9.57±0.19

7.08±1.61

6.98±0.43

7.24±0.07

0.02±0.001

0.02±0.002

0.02±0.58

0.03±0.002

0.03±0.002

0.03±0.002

0.03±0.005

0.08±0.037 PN, PC<PL

B(mg kg‐1)

16.7±1.59

18.8±2.05

18.67±0.85

20.4±0.59

4.20±0.12

4.96±1.08

3.97±0.22

5.84±0.66

0.45±0.04

0.41±0.07

0.52±0.07

1.15±0.49 PC<PN<PL

Cr(mg kg‐1)

0.19±0.03

0.19±0.02

0.14±0.01

0.11±0.01 <0.04 <0.04

0.41±0.04

0.52±0.03 <0.06 <0.06 <0.06 <0.06

Cu(mg kg‐1)

0.40±0.06

0.29±0.08

<0.08±0.02

<0.05±0.005

0.67±0.04

<0.59±0.32

<0.04±0.001 <0.04

6.55±2.18

2.48±0.68

2.70±0.89

3.82±3.34 PL, PN<PC

Mn(mg kg‐1)

7.69±1.23

8.64±1.28

6.75±1.03

5.17±0.43

24.7±0.70

21.2±2.33

14.4±0.45

16.3±0.71

22.6±2.61

25.2±3.79

24.1±6.67

36.2±12.5 PL<PN<PC

Mo(mg kg‐1)

0.87±0.19

1.11±0.22

1.42±0.14

1.94±0.19 <0.04 <0.04 <0.04 <0.04

0.15±0.002

0.25±0.06

0.11±0.03

0.65±0.35

Ni(mg kg‐1) <0.08 <0.08 <0.08 <0.08 <0.08 <0.08 <0.08 <0.08 <0.2 <0.2 <0.2 <0.2

Zn(mg kg‐1)

0.06±0.01

0.30±0.02

0.05±0.07 <0.04

10.51±1.22

7.36±0.59

5.58±0.26

6.30±0.45

2.20±0.17

2.31±0.21

1.36±0.26

3.66±1.17 PL<PC<PN

[a] SA = steam activation; < indicates mean contains results below the detection limit.

fig. 1d). Manganese and Zn concentrations were significantlylower in the PL biochar than the PC or PN biochars. Copper,Al, and Fe was also lower in the PL biochar compared to thePN biochar. These patterns are the reverse of that seen in thefeedstock or the total element concentrations in the biochars.If pyrolysis can reduce P and other metal availability inpoultry litter, it may reduce some of the environmentalconcerns associated with land application of poultry litter.These results should be interpreted with caution. TheMehlich I extraction, which is a weak double acid extraction,may not have been strong enough to remove these acid‐soluble cations under the high pH conditions found in the PLbiochar.

The Mehlich I extraction was developed for acidic soils inthe southeastern U.S. with low CEC or base saturation (Kuo,1996), and it is the standard extraction used for plant‐available nutrients and fertilizer recommendations inAlabama, Georgia, Florida, South Carolina, Tennessee, andVirginia. In this study, Mehlich I extractable elementconcentrations were used as an index to compare the

potential for different biomass sources and productiontechniques to supply plant‐available nutrients. Theextraction has not been calibrated for biochar and may notreflect actual plant‐available nutrient concentrations.However, data from a greenhouse trial using pine chip andpeanut hull biochar amendment of three different Ultisols(Speir, 2008) and from a field trial with the same biochars(Gaskin et al., 2007) indicate an increase in Mehlich I K andMg in soils amended with peanut hull biochar. The increasedMehlich I K in the soil was reflected in an increase of thesenutrients in corn tissue (Zea mays) in the field trial.

The pH and CEC of the biochars were also significantlyinfluenced by feedstock (table 2a). All the biochars werebasic, with the highest pH seen in the PN biochar. Tryon(1948) reported increased soil pH with the addition of pineand hardwood charcoal. He attributed the greater pH increaseseen in the hardwood charcoal treatment to the higher ashcontent, in particular to the hydrolysis of salts of Ca, K, andMg in the presence of water. In this study, PC biochar hadboth the lowest total concentrations of these cations and the

Page 118: Agricultural Applications for Pine-Based BioChar

2066 TRANSACTIONS OF THE ASABE

Table 4. Means and standard errors of dissolved carbon (DC), dissolved inorganic carbon (DIC), dissolved organic carbon(DOC), ammonium‐nitrogen (NH4-N), and nitrate‐nitrogen (NO3-N) in leachate from poultry litter, peanut hull,and pine chip biochars. Feedstock and temperature columns indicate significant differences (p < 0.05, n = 3).[a]

Poultry Litter (PL) Peanut Hulls (PN) Pine Chips (PC) Feedstock Temp.

400°C 500°C 400°C 500°C 400°C 500°C

Biochar SA Biochar SA Biochar SA Biochar SA Biochar SA Biochar SA

DC(g kg‐1)

2.20±0.31

1.85±0.25

0.85±0.01

0.75±0.02

0.51±0.09

0.40±0.02

0.52±0.02

0.41±0.10

0.13±0.10

0.13±0.10

0.12±0.05

0.19±0.07 PC<PN<PL 500<400

DIC(g kg‐1)

0.39±0.04

0.44±0.04

0.57±0.03

0.54±0.03

0.32±0.03

0.31±0.03

0.38±0.03

0.37±0.04

0.014±0.003

0.025±0.003

0.034±0.005

0.055±0.012 PC<PN<PL 400<500

DOC(g kg‐1)

1.81±0.34

1.46±0.29

0.28±0.04

0.21±0.04

0.20±0.06

0.10±0.03

0.14±0.03

0.10±0.03

0.12±0.01

0.10±0.01

0.09±0.003

0.10±0.01 PC, PN<PL 500<400

NH4‐N(mg kg‐1)

8.5±0.39

6.69±0.69

11.3±6.41

3.49±0.15

2.86±0.27

1.94±0.01

2.12±0.12

2.28±0.44

1.75±0.29

7.93±6.16

2.41±0.16

2.37±0.08 PN<PL

NO3‐N(mg kg‐1)

<0.4 <0.4 <0.4 <0.4 1.02±0.01

1.07±0.02

1.27±0.06

1.11±0.02

<0.4 <0.4 <0.4 <0.4

[a] SA = steam activation; < indicates mean contains results below the detection limit.

lowest pH, which would support Tyron's hypothesis;however, the pH of PL biochar was similar to the PN biocharalthough it contained higher concentrations of total Ca, K,and Mg than PN biochar (table 2).

Higher CEC was associated with higher concentrations ofminerals in the feedstock. Mészáros et al. (2007)hypothesized that K, Mg, Na, and P in the biomass maycatalyze the formation of oxygen groups on the biocharsurface at low pyrolysis temperatures. Oxygen groups suchas carboxyls, lactones, and phenols could contribute to thepresence of negative surface charges (Boehm, 1994).

Dissolved C concentrations were very low (table 4).Feedstock had a significant effect on DC in the biocharleachate, with PC < PN < PL. Dissolved inorganic C was alsoaffected by feedstock, with PC < PN < PL. The PL biocharhad a higher proportion of DOC than PC or PN biochars. ThePL feedstock is a combination of wood chip (typically pine)bedding and poultry manure. The manure may contribute tohigher DOC leached from the PL biochar.

DOC plays an important role in many soil processes,including serving as an energy source for the microbialcommunity and reacting with other soil solution components(Sposito, 1989). Biochars are known to contain condensedvolatile compounds. These compounds are either lost to thegaseous or liquid phase or undergo further reactions to formsecondary char at high temperatures (Antal and Grønli,2003). Garcia‐Perez et al. (2007) identified water‐solublecompounds from pyrolysis of lignin materials to containmono‐ and oligo‐sugars, formic and aecetic acids, as well asmethanol, hydroxyl‐acetaaldehyde, and 1‐hydroxyl‐2‐propanone. Schnitzer et al. (2007) identified numerousorganic compounds in the light and heavy fractions of poultrylitter pyrolyzed at 330°C, including N-heterocyclics,substituted furans, phenol and substituted phenols, benzenesand substituted benzenes, as well as aliphatic C chains. It islikely that some of these compounds remain trapped in thebiochar pore structure, but few of these compounds appear tobe immediately water soluble.

Ammonium‐nitrogen in the biochar leachate was alsofound in very low concentrations (table 4). No NO3-N wasdetected in any of the leachates. The NH4-N concentrationswere highest in the leachate from the PL biochar. Freshpoultry litter typically contains about 2.8 g NH4-N kg-1

(University of Georgia Agricultural and Environmental

Services Laboratory, unpublished data). Small amounts ofthis NH4-N may remain trapped, or microbes may havemineralized nitrogen‐containing organic compounds in thebiochar. Das et al. (2008) found that the liquid productsobtained from poultry litter pyrolysis enhanced microbialgrowth in well water and concluded that N-heterocycliccompounds derived from proteins were responsible for thatincrease. A small fraction of these compounds may bepresent in the biochars.

INFLUENCE OF PYROLYSIS TEMPERATURE

The average conversion ratio (biochar weight / feedstockweight) was 33.2%. Biochar yield decreased with increasedpyrolysis temperature, and except for N, nutrientconcentrations were higher in the biochar produced at 500°C(tables 2a and�b). Due to the wide range of initial nutrientconcentrations in the feedstock, there were significantinteractions between feedstock and temperature for total N,P, Mg, Mn, Cu, Fe, Zn, and Al (p < 0.05).

As noted earlier, N was conserved in the biochar (fig. 1b).After forest fires, on average, only 3% of the N in the biomassis found in ash, which contains black carbon or biochar(Giardina et al., 2000). Almendros et al. (2003) found C andN enrichment in charred residues during thermaltransformation of peat organic matter. Nitrogen wasincorporated into structures resistant to heating at moderatethermal oxidation by aromatization and formation ofheterocyclic N (Almendros et al., 2003). Studies of wildfireeffects on biomass composition indicate that N begins tovolatilize at 200°C, and above 500°C half of the N in organicmatter is lost to the atmosphere. Our study indicated that arelatively high proportion of the feedstock N was conservedat low pyrolysis temperatures, and as expected more N wasretained in the biochar at 400°C compared to 500°C (fig. 1b).

Knicker et al. (2005) has shown that fire and carbonizationcan increase the N content of SOC, but the alterations inchemical structure have long‐term consequences for Navailability (Knicker and Skjemstad, 2000). Field trials of PNand PC biochar as a soil amendment with corn (Zea mays)indicate that PN biochar N is not plant available (Gaskin et al.,2007). However, Tagoe et al. (2008) studied N recovery of15N‐labeled chicken manure and did not find differences in Navailability between carbonized and dried chicken manure.

Page 119: Agricultural Applications for Pine-Based BioChar

2067Vol. 51(6): 2061-2069

Figure 2. Representative relationship of the ratio of nutrient (K) in thebiochar to feedstock and conversion efficiency for pine chip, peanut hull,and poultry litter biochars. Solid circles represent means, and barsindicate standard errors.

The total concentration of other elements (P, K, Ca, andMg) significantly increased with increasing volatizationlosses of C, H, O, and N (tables 2a and 2b). Potassium isrepresentative of the nutrient concentration seen (fig. 2).Potassium and P vaporize at temperatures above 760°C, Sand Na need temperatures above 800°C, and Mg and Ca arelost only at temperatures above 1107°C and 1240°C,respectively (Lide, 2004, reviewed by Knicker, 2007). Therewas a significant interaction between temperature andfeedstock for Mehlich I extractable concentrations of theseelements (p = 0.05). At the low nutrient concentrations seenin the PC biochar, temperature appeared to have little effect.In the PN and PL biochars, Mehlich I extractable nutrientstended to decrease with increasing temperature. Mehlich Iextractable Al and Fe were significantly increased in the500°C biochar (table 3b).

The CEC of biochar produced at 500°C was significantlyless than that produced at 400°C (table 2a, p < 0.01). Therewas a significant interaction between feedstock andtemperature. In general, the literature indicates the loss ofsurface functional groups with the increase in pyrolysistemperature. Guo and Rockstraw (2007b) showed that thenumber of acidic functional groups decreased withincreasing temperature. The highest decrease occurredbetween 300°C and 400°C, and the loss of these acidicgroups slowed after 400°C. This process may havecontributed to the lower CEC seen at higher temperatures.Iyobe et al. (2004) indicated that lignin and cellulose undergothermolysis at 400°C to 500°C, which creates acidicfunctional groups such as carboxyls and phenolic hydroxyls.Chun et al. (2004) found decreasing acidity and increasingbasicity with increasing pyrolysis temperature.

Temperature influenced DC (table 4). The higher temper-ature reduced the concentration of organic C but increasedinorganic C significantly.

INFLUENCE OF STEAM ACTIVATION

Steam activation had little effect on the studiedparameters (tables 2a, 2b, 3a, 3b, and 4). Productiontechnology is known to influence physical parameters, andsteam can improve the yield and surface characteristics atelevated pressures and temperatures (Antal and Grønli,2003). At the relatively low pyrolysis temperatures used inthis study, we only found significantly higher C and MehlichI extractable B concentrations in steam‐activated biochar(p�< 0.05).

CONCLUSIONSPyrolytic biochar has the potential to be used in

agricultural production to sequester carbon and serve as afertilizer. Although pyrolysis conditions are known to affectthe chemical and physical characteristics of biochar, at therelatively low pyrolysis temperatures used in this study,feedstock characteristics had the greatest influence on keyagricultural characteristics. Carbon concentrations in thebiochars decreased with increasing mineral content of thefeedstock. Little DC was leachable from the fresh biochar. Ahigh proportion of the feedstock N was conserved in thebiochar; however, the N may not be plant available. Nutrientssuch as P, K, and Ca are extractable with a weak double acidextractant and may be plant available.

The higher pyrolysis temperature increased nutrientconcentrations, except for N, but decreased CEC. Recentliterature has shown that natural long‐term oxidation ofbiochar in the soil increases the amount of negative chargeson the biochar surface (Cheng et al., 2008). Development andoptimization of pyrolysis and post‐production treatments toincrease CEC or available nutrients is important in order toincrease the immediate benefits of biochar applications inagriculture.

ACKNOWLEDGEMENTS

This work was conducted with funding from the State ofGeorgia and the U.S. Department of Energy. We wish tothank Dr. Jim Kastner for his helpful comments on variousideas in the manuscript, and Mr. Roger Hilten for assistancewith this project.

Page 120: Agricultural Applications for Pine-Based BioChar

2068 TRANSACTIONS OF THE ASABE

REFERENCESAlmendros, G., H. Knicker, and F. J. González‐Vila. 2003.

Rearrangement of carbon and nitrogen forms in peat afterthermal oxidation as determined by solid‐state 13C and 15NNMR spectroscopy. Org. Geochem. 34(11): 1559‐1568.

Antal, M. J., and M. Grønli. 2003. The art, science, and technologyof charcoal production. Ind. Eng. Chem. Res. 42(8): 1619‐1640.

Bansal, R. C., J. Donnet, and F. Stoeckli. 1988. Active Carbon. NewYork, N.Y.: Marcel Dekker.

Benaddi, H., T. J. Bandosz, J. Jagiello, J. A. Schwarz, J. N.Rouzaud, D. Legras, and F. Beguin. 2000. Surface functionalityand porosity of activated carbons obtained from chemicalactivation of wood. Carbon 38(5): 669‐674.

Berglund, L. M., T. H. DeLucca, and O. Zackrisson. 2004.Activated carbon amendments to soil alters nitrification rates inScots pine forests. Soil Biol. Biochem. 36(12): 2067‐2073.

Boehm, H. P. 1994. Some aspects of the surface chemistry ofcarbon blacks and other carbons. Carbon 32(5): 759‐769.

Cheng, C.‐H., J. Lehmann, and M. H. Engelhard. 2008. Naturaloxidation of black carbon in soils: Changes in molecular formand surface charge along a climosequence. Geochim.Cosmochim. Acta 72(6): 1598‐1610.

Chun, Y., G. Sheng, C. T. Chiou, and B. Xing. 2004. Compositionsand sorptive properties of crop residue‐derived chars. Environ.Sci. Tech. 38(17): 4649‐4655.

Das, K. C., M. Garcia‐Perez, B. Bibens, and N. Melear. 2008. Slowpyrolysis of poultry litter and pine woody biomass: Impact ofchars and bio‐oils on microbial growth. J. Environ. Sci. Health A43(7): 714‐724.

DeLuca, T. H., M. D. M. Kenzie, M. J. Gundale, and W. E. Holben.2006. Wildfire‐produced charcoal directly influences nitrogencycling in ponderosa pine forests. SSSA J. 70(2): 448‐453.

Garcia‐Perez, M. A., H. Chaala, H. Pakdel, D. Kretschmer, and C.Roy. 2007. Characterization of bio‐oils in chemical families.Biomass Bioenergy 31(4): 222‐242.

Gaskin, J. W., R. A. Speir, K. R. Harris, R. D. Lee, L. M. Morris,and K. C. Das. 2007. Effect of two types of pyrolysis chars oncorn yield, soil nutrient status, and soil C in loamy sand soil ofthe southeastern United States. Madison, Wisc.:ASA‐CSSA‐SSSA International Meetings.

Giardina, C. P., R. L. Sanford, I. C. Dockersmith, and V. J.Jaramillo. 2000. The effects of slash burning on ecosystemnutrients during the land preparation phase of shiftingcultivation. Plant Soil 220(1‐2): 247‐260.

Glaser, B., E. Balashov, L. Haumaier, G. Guggenberger, and W.Zech. 2000. Black carbon in density fractions of anthropogenicsoils of the Brazilian Amazon region. Org. Geochem. 31(7‐8):669‐678.

Guo, Y., and A. D. Rockstraw. 2007a. Physicochemical propertiesof carbons prepared from pecan shell by phosphoric acidactivation. Bioresource Tech. 98(8): 1513‐1521.

Guo, Y., and D. A. Rockstraw. 2007b. Activated carbons preparedfrom rice hull by one‐step phosphoric acid activation.Microporous Mesoporous Mat. 100: 12‐19.

Ioannidou, O., and A. Zabaniotou. 2007. Agricultural residues asprecursors for activated carbon production: A review. Renew.Sust. Energy Rev. 11(9): 1966‐2005.

Iyobe, T., T. Asada, K. Kawata, and K. Oikawa. 2004. Comparisonof removal efficiencies for ammonia and amine gases betweenwoody charcoal and activated carbon. J. Health Sci. 50(2):148‐153.

Knicker, H. 2007. How does fire affect the nature and stability ofsoil organic nitrogen and carbon? A review. Biogeochem. 85(1):91‐118.

Knicker, H., and J. O. Skjemstad. 2000. Nature of organic carbonand nitrogen in physically protected organic matter of someAustralian soils as revealed by solid‐state 13C and 15N NMRspectroscopy. Australian J. Soil Res. 38(1): 113‐127.

Knicker, H., F. J. Conzález‐Vila, O. Polvillo, J. A. González, and G.Almendros. 2005. Fire‐induced transformation of C- and N-forms in different organic soil fractions from a dystric cambisolunder a Mediterranean pine forest (Pinus pinaster). Soil Biol.Biochem. 37(4): 701‐718.

Kuo, S. 1996. Phosphorus: Part 3. Chemical methods. In Methodsof Soil Analysis, 869‐919. Madison, Wisc.: SSSA and ASA.

Lal, R. 2004. Soil carbon sequestration impacts on global climatechange and food security. Science 304(5677): 1623‐1627.

Lehmann, J., J. P. da Silva Jr., C. Steiner, T. Nehls, W. Zech, and B.Glaser. 2003. Nutrient availability and leaching in an archaeologicalanthrosol and a ferralsol of the central Amazon basin: Fertilizer,manure and charcoal amendments. Plant Soil 249(2): 343‐357.

Lehmann, J., J. Gaunt, and M. Rondon. 2006. Bio‐charsequestration in terrestrial ecosystems: A review. Mit. Adapt.Strat. Global Change 11(2): 403‐427.

Liang, B., J. Lehmann, D. Solomon, J. Kinyangi, J. Grossman, B.O'Neill, J. O. Skjemstad, J. Thies, F. J. Luizão, J. Petersen, andE. G. Neves. 2006. Black carbon increases cation exchangecapacity in soils. SSSA J. 70(5): 1719‐1730.

Mehlich, A. 1953. Determination of P, Ca, Mg, K, Na, and NH4.Mimeo 1953. Raleigh, N.C.: North Carolina Department ofAgriculture, North Carolina Soil Test Division.

Mészáros, E., E. Jakab, G. Varhegyi, J. Bourke, M. Manly‐Harris, T.Nunoura, and M. J. Antal. 2007. Do all carbonized charcoalshave the same chemical structure? 1. Implications ofthermogravimetry: Mass spectrometry measurements. Ind. Eng.Chem. Res. 46(18): 5943‐5953.

Pietikäinen, J., O. Kiikkilä, and H. Fritze. 2000. Charcoal as ahabitat for microbes and its effect on the microbial communityof the underlying humus. Oikos 89(2): 231‐242.

Schmitdt, M. W. I., J. O. Skjemstad, E. Gehrt, and I.Kögel‐Knabner. 1999. Charred organic carbon in Germanchernozemic soils. European J. Soil Sci. 50(2): 351‐365.

Schnitzer, M. I., C. Monreal, G. Jandl, P. Leinweber, and P. B.Fransham. 2007. The conversion of chicken manure to biooil byfast pyrolysis: II. Analysis of chicken manure, biooils, and charby curie‐point pyrolysis‐gas chromatography/mass spectrometry.J. Environ. Sci. Health B 42(1): 79‐95.

Seiler, W., and P. J. Crutzen. 1980. Estimates of gross and net fluxesof carbon between the biosphere and the atmosphere frombiomass burning. Climatic Change 2(3): 207‐247.

Speir, R. A. 2008. Use of pyrolysis char in southeastern soils. MSthesis. Athens, Ga.: University of Georgia, Warnell School ofForestry and Natural Resources.

Sposito, G. 1989. The Chemistry of Soils. New York, N.Y.: OxfordUniversity Press.

Steiner, C. 2007. Slash and char as alternative to slash and burn:Soil charcoal amendments maintain soil fertility and establish acarbon sink. PhD diss. Bayreuth, Germany, University ofBayreuth, Faculty of Biology, Chemistry and Geosciences.

Steiner, C., W. G. Teixeira, J. Lehmann, T. Nehls, J. L. V. d.Macêdo, W. E. H. Blum, and W. Zech. 2007. Long‐term effectsof manure, charcoal, and mineral fertilization on crop productionand fertility on a highly weathered central Amazonian uplandsoil. Plant Soil 291(1‐2): 275‐290.

Steiner, C., K. C. Das, M. Garcia, B. Förster, and W. Zech. 2008a.Charcoal and smoke extract stimulate the soil microbialcommunity in a highly weathered xanthic ferralsol.Pedobiologia 51(5‐6): 359‐366.

Steiner, C., B. Glaser, W. G. Teixeira, J. Lehmann, W. E. H. Blum,and W. Zech. 2008b. Nitrogen retention and plant uptake on ahighly weathered central Amazonian ferralsol amended withcompost and charcoal. J. Plant Nutrition Soil Sci. (in press).

Strelko, V., D. J. Malik, and M. Streat. 2002. Characterisation of thesurface of oxidized carbon adsorbents. Carbon 40(1): 95‐104.

Sumner, M. E., and W. P. Miller. 1996. Cation exchange capacityand exchange coefficients. In Methods of Soil Analysis,1201‐1230. Madison, Wisc.: SSSA and ASA.

Page 121: Agricultural Applications for Pine-Based BioChar

2069Vol. 51(6): 2061-2069

Tagoe, S. O., T. Horiuchi, and T. Matsui. 2008. Effects ofcarbonized and dried chicken manures on the growth, yield, andN content of soybean. Plant Soil 306: 211‐220.

Topoliantz, S., J.‐F. Ponge, and S. Ballof. 2005. Manioc peel andcharcoal: A potential organic amendment for sustainable soilfertility in the tropics. Biol. Fert. Soils 41(1): 15‐21.

Tryon, E. H. 1948. Effect of charcoal on certain physical, chemical,and biological properties of forest soils. Ecol. Mono. 18(1):81‐115.

USEPA. 1994. Methods for the determination of metals inenvironmental samples. Supplement I EPA‐600/R‐94/111/May1994. Cincinnati, Ohio: U.S. EPA, Environmental MonitoringSystems Laboratory.

Wardle, D. A., O. Zackrisson, and M. C. Nilsson. 1998. Thecharcoal effect in boreal forests: Mechanisms and ecologicalconsequences. Oecologia 115(3): 419‐426.

Warnock, D. D., J. Lehmann, T. W. Kuyper, and M. C. Rillig. 2007.Mycorrhizal responses to biochar in soil: Concepts andmechanisms. Plant Soil 300: 9‐20.

Page 122: Agricultural Applications for Pine-Based BioChar

2070 TRANSACTIONS OF THE ASABE

Page 123: Agricultural Applications for Pine-Based BioChar

1

Chapter _ CHARACTERIZATION OF CHAR FOR AGRICULTURAL USE IN THE SOILS OF THE SOUTHEASTERN UNITED STATES J. GASKIN, K. DAS, A. TASISTRO, L. SONON, K. HARRIS, B. HAWKINS Dept. of Biological and Agricultural Engineering and Soil, Plant and Water Laboratory, University of Georgia, and EPRIDA., Athens, Georgia, US Abstract: Char produced from the pyrolysis of biomass has potential as an agricultural amendment for increasing agricultural productivity in the

infertile, low C soils of the southeastern United States, but it is unclear if the chars produced by pyrolysis plants will function in soils similar to the charcoal in Terra Preta. Recent work in characterizing pyrolysis char indicates that the feedstock, temperature, and carrier gas has a strong influence on important characteristics for agricultural production, such as available nutrients, cation exchange capacity, and mineralization rates. Preliminary data indicate pyrolysis char may increase CEC, sorbs P, and serves as a source of plant available K. Nitrogen mineralization data and first growing season field trials with corn (Zea mays) indicate although some mineralization may occur, N in high N char (2%) is not readily available. A better understanding of char effects on soil processes is needed.

Keywords: char, Ultisols, agricultural amendment, nutrients, nitrogen, mineralization, cation exchange capacity, phosphorus sorption

1. INTRODUCTION Char produced from the pyrolysis of biomass has potential as an agricultural amendment in low fertility soils. Much

of the interest in its potential use as an agricultural amendment has been stimulated by research discussed in this book and the previous volumes on the role of charcoal in Terra Preta soils. Results from studies conducted in South American and African tropics on acidic, highly-weathered Oxisols with low organic carbon, cation exchange capacity, and base saturation indicates that addition of charcoal has significantly influenced nutrient cycling, soil biology, and crop productivity (Glaser et al. 2002; Lehmann and Rondon 2006; Oguntunde et al. 2004). Increased yields and biomass have been reported for various legumes (Iswaran et al. 1980; Lehman et al. 2003; Topoliantz et al. 2005) and for corn (Lehmann and Rondon 2006; Oguntunde et al. 2004). Increased productivity may be related to available nutrients (Glaser et al. 2002; Lehman et al. 2003; Steiner et al. 2007), or increases in pH (Topoliantz et al. 2005; Steiner et al. 2007), and cation exchange capacity (CEC)(Steiner et al. 2007, Liang et al. 2006), as well as changes in water relations and soil biology (Glaser et al. 2002; Steiner et al. 2004). Although most studies report increased plant productivity with charcoal addition, plant biomass decreases have been observed, particularly at high application rates (Glaser et al. 2002). These responses could be related to nitrogen immobilization through high C:N ratios and sorption of NH4-N and NO3-N(Lehmann and Rondon 2006).

The southeastern United States is an important agricultural area. The state of Georgia alone has approximately 4.3 million hectares of corn (Zea mays), soybean (Glycine max), cotton (Gossypium hirsutum), and peanuts (Arachis hypogaea) in production and 9.6 million hectares of forestland largely in loblolly pine (Pinus taeda) production (USDA 2002; Georgia Forestry Association 2007). The growing interest in biofuels is increasing demands on row crop production and may also increase demand on forestlands. The Ultisols of the southeastern United States are similar to tropical Oxisols with low organic carbon contents of less than 1%, low cation exchange capacities of approximately 5 cmol kg-1, and low base saturation of usually less than 30% (Perkins 1987). Char produced as a byproduct of energy production through pyrolysis may provide an opportunity to increase the productivity of southeastern soils, similar to the way charcoal functions in Terra Preta. However, because char characteristics vary with feedstock and pyrolysis conditions (Harris et al. 2006; Antal and Gronli 2003), a better understanding of the influence of these factors on char characterisitics and the effect of different chars on soil processes in the southeastern United States is needed.

2. PYROLYSIS CONDITIONS AND CHAR CHARACTERISTICS

Char or charcoal corresponds to black carbons that result from the incomplete combustion of biomass. Black carbon consists of graphite-like planes (graphene layers) that show varying degrees of disorientation. The resulting spaces between these planes constitute porosity. The capacity of char to remove impurities from solutions and gases has been known for many centuries. This is due to the porous nature of the material (Barkauskas 2002) and to the surface chemical properties including the type and number of functional groups (Stoeckli et al. 2004). Charcoal has chemical reactivity due to the existence of unsaturated valence (active sites) at the edges of the aromatic planes. The ratio of these active sites in relation to the inert carbon atoms within

Page 124: Agricultural Applications for Pine-Based BioChar

2

the graphene layers increases as the surface area increases. Heteroatoms, such as oxygen, hydrogen or nitrogen also have a strong influence on the mechanisms of the adsorption process. Oxygen is the most important heteroatom and is part of chemical groups that have both Lewis base properties such as chromene and pyrone or acidic properties such as anhydrides, lactones, lactols, phenols, carbonyls, and carboxyls. The presence and quantity of these groups affect the capacity of char to add to the cation or anion exchange capacity of the soil and other soil productivity properties. Charcoals are known to sorb cations (Lima and Marshall 2005a) and also anions when basic surface oxides are present due to exposure to the atmosphere (Boehm, 1994). These sorption capacities may create the potential for char to retain needed nutrients in the low exchange capacity soils of the southeastern United States. 2.1 Feedstocks

The mineral content of the char depends upon the nature of the feedstock and can influence the surface chemistry of charcoal by interaction with electrons of the aromatic rings and through electron paramagnetism. (Benaddi et al. 2000). Ash complicates interpretation of surface phenomena of carbon. Ash solubility in water is variable, making the analysis of surface groups difficult at higher ash concentrations. Insoluble metal oxides involved in the charge development on the carbon surface become charged in aqueous suspension, and are considered part of the active surface sites.

Feedstock particle size also affects char yield from pyrolysis. At low pyrolysis temperature, larger particle sizes favor longer inter-pore residence time for volatiles increasing yield (Antal and Gronli, 2003).

2.2 Pyrolysis Conditions Important parameters that determine quality and yield of the carbonized product are the rate of heating, final temperature, and the gas environment (Bansal et al., 1988). A low heating rate during pyrolysis leads to lower volatilization and higher char yields. This creates char with higher carbon contents but does not affect char microporosity. In addition, chars developed at low heating rates are heavier and denser than those from high heating rates. This may be an advantage for agricultural use in terms of handling properties. The final temperature during pyrolysis typically ranges between 400 and 600 oC, and does not exceed 800 oC. Guo and Rockstraw (2007) observed that surface area and porosity did not develop at temperatures < 300 oC and that from 300 oC onwards, the concentration of acidic surface groups decreased with increasing temperature. The decrease occurred more quickly between 300 and 400 oC, and slowed after 400 oC, probably due to an equilibrium between decomposition and formation of strong acidic surface groups, or because most of the temperature-sensitive strong acidic groups had disappeared. Iyobe, et al. (2004) reported that thermolysis of cellulose or lignin occurred actively at 400 to 500 oC, with the formation of acidic functional groups, such as carboxyls and phenolic hydroxyls. The amount of acidic functional groups continue to decrease with pyrolysis temperatures > 600 oC. Hydroxide (C-OH), C=O, and C-H groups are largely lost at temperatures > 650°C, and most of the aromatic and C-H groups are decomposed above 750°C (Antal and Gronli, 2003). Above 950°C chars are almost like graphite with little active chemistry on its surfaces. The effect is decreasing ability to sorb cations. Asada et al. (2002) reported that char obtained by carbonizing bamboo at 500 oC had the highest removal effect for NH3 compared to carbonizing at 700 or 1000oC. In general, these data indicates chars produced at lower temperatures (<500 oC) may hold the greatest promise for agricultural use in terms of nutrient holding capacity. The gas environment during pyrolysis also exerts considerable influence on char properties. Lower carrier gas flow rates result in longer residence time of vapors in the char matrix, which allows for char-catalyzed secondary reactions to occur. Steam may increase the presence of oxygen in surface functional groups. Carbon-oxygen surface compounds are by far the most important in influencing surface reactions, surface behavior, hydrophilicity, and electrical and catalytic properties of carbons. Substantial quantities of oxygen can be introduced in the course of charcoal production by an oxidating gas such as steam (Strelko et al. 2002). 2.3 Comparison between traditional two-step pyrolysis and activation with 1-step steam pyrolysis Typically chars produced at temperatures around 400 to 600 oC do not have the well developed surface areas or adsorbent properties of activated carbons because of tars deposited on the solid surface that restrict pore structures. Steam activation at temperatures between 800 and 1,100 oC physically removes these residues and opens pores. After activation, chars have higher surface area, adsorption capacity and pore size distribution (Gregova et al. 1994; Alaya et al. 2000). The combination of this two-step process into a single step, which involves pyrolyzing under steam conditions, may increase surface area and increase adsorbent properties, and requires less energy and less time. Steam pyrolysis at low temperatures (600 oC) has been shown to increase micropores with the ratio of micropore volume to total pore volume approaching 95% (Alaya et al. 2000). These authors suggest that steam enhances the evolution of volatile molecules at

Page 125: Agricultural Applications for Pine-Based BioChar

3

lower temperatures and prevents the cracking of volatiles. In addition, gasification (conversion of solids to gases) is induced much earlier (600 oC compared to 800 to 900 oC in non-steam environments) and results a more porous carbon skeleton. Chars produced at lower temperatures with steam may have a more active surface chemistry; however, the literature is not clear about the impacts of one-step processing on nutrient properties and surface chemistry. Based on available literature on char and activated carbons, it appears that chars produced at low pyrolysis temperatures with steam may hold the greatest promise for agricultural use due to lower production cost, higher surface functional groups for sorption, and a more dense char product.

3. AGRICULTURAL CHARACTERISTICS OF PYROLYSIS CHAR 3.1 Feedstock and Pyrolysis Condition Effects on Nutrient Status Analyses of char from common feedstocks in the Southeastern US confirm the effect of feedstock and temperature on char composition. Total nutrients were analyzed in chars produced from peanut hull (PN), pine chip (PC), and hardwood (HW) feedstocks pyrolyzed at low temperatures (380, 400, and 420 oC) with steam in a small furnace, and poultry litter (PL) at 400 oC in a batch reactor in a steam flow environment (Table 1). At these lower pyrolysis temperatures, the initial nutrient content of the feedstock had a larger effect on char nutrient concentration than pyrolysis temperature (Table 1, Figure 1). Small increases in pyrolysis temperature increased the total nutrient concentration in the char of most nutrients (e.g. K, Figure 1). Table 1. Total carbon and nutrient concentrations for feedstocks and chars (on an as is basis) produced from those feedstocks at 400 oC with steam.

Constituent Peanut hull Feedstock Char

Poultry Litter Feedstock* Char

Pine chips Feedstock Char

Hardwood Feedstock Char

C (%) 47.7 65.5 N/A 41.7 46.5 67.0 44.7 70.3 N (%) 1.44 2.00 3.80 3.70 0.05 0.14 0.20 0.30 C:N 33 33 N/A 11 949 543 224 234 S (%) 0.13 0.13 0.42 1.18 0.02 0.02 0.02 0.02 P mg kg -1 732 1,620 11,930 33,580 30.0 235 92.9 278 K mg kg -1 6,340 15,372 19,339 45,593 436 1,973 937 2,409 Ca mg kg -1 1,880 4,420 17,900 46,760 418 1,686 794 2,709 * Average Georgia poultry litter concentrations analyzed by the University of Georgia Agricultural and Environmental Services Laboratory N/A – not available

0

1000

20003000

4000

5000

60007000

8000

9000

380 400 420

Temperature

K m

g kg

-1 PC

HW

PN

Figure 1. Total nutrients in char produced from pine chips (PC), hardwoods (HW), and peanut hulls (PN) pyrolized with steam at three different temperatures. At these low pyrolysis temperatures, the total N concentration in the char was similar to that of the initial feedstock (Table 1). Total N concentration in the PL and PN char was high at 3.7% and 2%, respectively. The PL char concentration was higher than that reported for active carbon produced from turkey litter (1.12%) although the N concentration of the turkey litter feedstock was similar at 3.84%(Lima and Marshall 2005b). The turkey litter active carbon was produced at 700 oC and activated with steam at 800 oC, which may have volatilized more N. The N concentrations in PC and HW char were similar to those reported for pinewood (0.11%) and oak board (0.18%) char by Antal and Gronli (2003).

Page 126: Agricultural Applications for Pine-Based BioChar

4

Although the N concnetration of the PN char is potentially high enough to offer a substantial nitrogen input and the C:N ratio is relatively low (33, Table 1), the N does not appear to be readily available. Nitrogen mineralization was very low in incubations (24-days at 25 o C, 55% water filled pore space) of infertile, low C Tifton soils (fine-loamy, siliceous, thermic Plinthic Kandiudults) amended with PN and PC chars at 11 and 22 Mg ha-1 equivalent rate (Table 2). These PN and PC chars were produced in a pilot scale pyrolysis unit at 400 oC with steam. Peanut hull char C and N concentrations were 72.85and 1.90%, respectively, and PC char C and N were 76.99 and 0.17%, respectively. There was no statistical difference in NH4-N concentrations between the control and char amended soils (p=0.05). There was a trend for higher NO3-N concentrations in the PN amended soils, but only the PN 11 Mg ha-1 rate was statistically different from the control. Table 2. Mean change (final –initial) in ammonium- and nitrate-nitrogen concentrations with standard deviations in Tifton soils amended with peanut hull (PN) and pine chip (PC) char at 11 and 22 Mg ha –1 and incubated for 24 days. Analysis of variance with mean separation by Tukey-Kramer Multiple Comparison test. Letters within the same column indicate statistical difference at the p=0.05 level.

Feedstock n Δ NH4-N Δ NO3-N

---------------mg kg-1-------------- PN 11 4 1.49 +/- 0.24 5.53 +/- 0.65b PN 22 4 0.94 +/- 0.78 5.08 +/- 0.62a PC 11 4 1.19 +/- 0.36 3.62 +/- 0.51a PC 22 4 1.44 +/- 0.26 4.41 +/- 0.16a

Control 4 1.37 +/- 0.38 3.26 +/- 1.66 We saw similar indications that N in the high N char was not plant available in the first year of field trials on similar Tifton soils with irrigated corn (Zea mays, Gaskin et al. 2006). Peanut hull char was incorporated to a depth of 15 cm in microplots (1.8 x 2.2 m) at rates of 0, 11 and 22 Mg ha-1 in a factorial combination with two rates of nitrogen fertilizer (0 and 213 kg N ha-1) surface applied as ammonium nitrate. Tissue samples at the earleaf stage during the first growing season only showed a significant effect (p=<0.0001) due to N fertilizer. The mean N tissue concentration in the PN char/no N fertilizer treatments were similar to the control (1.40%) and had average N concentrations averaging 1.13% for the PN 11 and 1.52% for the PN 22 treatment. Nitrogen tissue concentrations in the N fertilized treatments averaged 2.91%. At the p=0.05 level, there was a significant effect due to N fertilizer for both grain yield and stover (p= <0.0001; Figure 2), but no significant effect due to char rate for grain (p=0.7197). There was a significant effect of char rate for stover (p=0.0241). The interaction between char and fertilizer was only significant for the stover (p=0.0145). These preliminary data indicate, although some N may be mineralizing, the N in the PN char is not readily available to microorganisms in the short–term (24-days) and is not highly plant available over a growing season (approximately 4 months).

Grain Stover

02468

1012141618

Fertiliz

er

PN22 +

F

PN11 +

FPN22

PN11

Contro

l

Fertiliz

er

PN22 +

F

PN11 +

FPN22

PN11

Contro

l

Treatment

Mg

ha-1

Figure 2. Corn grain yield and stover (dry wt basis) from Tifton soil plots amended with peanut hull (PN) biochar. Fertilizer – N fertilizer check,

PN22+F- PN char at 22 Mg ha-1 + N fertilizer, PN11+F- PN char at 11 Mg ha-1 + N fertilizer, PN22- PN char at 22 Mg ha-1, PN11 char at 11 Mg ha-1, Control- no amendment or N fertilizer.

Page 127: Agricultural Applications for Pine-Based BioChar

5

Although N in the char does not appear to be readily available, the char may serve as a source for other nutrients, particularly K. Mehlich I K at the end of the first growing season was higher in the PN char amended plots than the control (Table 3). Table 3. Mehlich I K in Tifton soil amended with peanut hull (PN) char at 11 and 22 Mg ha-1. Analysis of variance with mean separation by Tukey-Kramer Mulitple Comparision Test. Letters within rows indicate statistical difference at p=0.05 level.

Depth Control Fertilizer PN 11 PN 11 + F PN 22 PN 22 + F

cm --------------------------------------------------- mg kg-1 ---------------------------------------------------------

0-15 28.3 +/- 8.7a 33.2 +/- 12.6a 53.2 +/- 6.8b 49.2 +/- 9.9b 74.1 +/- 11.0c 65.9 +/- 14.3c 15-30 21.3 +/- 4.4a 24.0 +/- 8.4a 43.2 +/- 4.1b 38.4 +/- 7.4b 68.2 +/- 11.3c 51.0 +/- 7.0c

3.2 Feedstock and Pyrolysis Condition Effects on Cation Exchange Capacity The PN, PC, and HW chars (Table 1) were analyzed for cation exchange capacity (CEC) using a modified Na-acetate /ethanol/NH4-acetate compulsory replacement method (Sumner and Miller 1996) with sodium analyzed by atomic absorption spectrophometry. Due to interference of the char ash, chars were leached with deionized water before analysis to remove soluble salts. In this preliminary study, there was a trend for higher CEC at 400 oC (Table 4). The PN char had the highest CEC perhaps due to its higher initial mineral concentrations. Table 4. Mean cation exchange capacity and standard deviation in peanut hull(PN), pine chip (PC) and hardwood (HW) chars produced at three pyrolysis temperatures with steam.

Temperature

Feedstock 380° C 400° C 420° C ---------------------------------cmol kg-1------------------------------------

PN 36.7+/-0.76 (n=4) 44.0+/-0.35 (n=2) 28.0+/-5.26 (n=4) PC 18.6+/-1.34 (n=3) 27.0+/-0.60 (n=2) 16.5+/-2.42 (n=4) HW 22.6+/-0.04 (n=2) 22.9+/-3.21 (n=2) 14.1+/-0.34 (n=2)

3.3 Feedstock and Pyrolysis Condition Effects on Sorption Properties Subsamples of the PC and PN chars (Table 1) pyrolyzed at 420oC were ground to <420 µm and washed with deionized water to remove soluble salts and air-dried. Chars were then added to Tifton soils at the rate of 0.05 g char g-1 soil and phosphorus sorption isotherms were determined using batch techniques. Soil-char mixtures were equilibrated with five concentrations of P (0, 5, 20, 50, and 100 mg P L-1) in 0.01M CaCl2 matrix. The capacity and intensity of sorption by soil varied with the type of char added to soil. The amount of P sorbed was highest in soil amended with PN char, while the lowest P sorption occurred in unamended soil (Figure 3). All systems showed a sharp increase in adsorption at low equilibrium P concentrations but sorption eventually reached a plateau. This is a characteristic of an L-curve isotherm where the adsorbate (P) has high affinity for the sorption sites but sorption diminishes regardless of the amount of adsorbate as surface area decreases (Sposito 1989). Such a relationship suggests a strong interaction between the P and the exchange surfaces and that the overall sorption was dependent on the properties of both components (Giles et al. 1960; McBride 1994).

Page 128: Agricultural Applications for Pine-Based BioChar

6

0

20

40

60

80

100

120

140

160

0 20 40 60 80 100 120

P concentration at equilibrium (mg L-1)

P ad

sorb

ed (m

g kg

-1)

Soil + PC

Soil + PN

Soil alone

Figure 3. Phosphorus adsorption isotherm form a Tifton soil amended with pine chips (PC), and peanut hull (PN) chars pyrolyzed at 420 oC with steam at 0.05 g char g-1 soil . 4. SUMMARY Soils in the southeastern United States are typically have low C, CEC, and base saturation. Studies of Terra Preta soils show charcoal has an important influence on these soils productivity and reviews of the activated carbon literature illuminate some of the physical and chemical mechanisms that could influence soil productivity with char addition. Pyrolysis chars may have the potential to supply nutrients, sorb cations and anions. The literature and our data indicate pyrolysis conditions and the feedstock have considerable effects on char characteristics. Our studies on feedstocks commonly available in the southeastern United States indicate had CECs that potentially increase the ability of low C loamy sands to retain nutrients. Some chars also have the potential to increase P sorption. It is unknown at this point if there would be subsequent desorption of P by char and what affect this may have on crops. Preliminary studies indicate that N from chars with a relatively high N content such as peanut hulls was not readily bioavailable during the first year of cropping, but some chars contain mineral nutrients such as K that are available to crops. Our preliminary work indicates char addition may have potential agricultural benefits, but a better understanding of how char from various feedstocks and produced under different pyrolysis conditions changes soil processes and crop response is needed. 5. REFERENCES Alaya, M.N., B.S. Girgi, and W.E. Mourad. (2000). Activated carbon from some agricultural wastes under action of one-

step steam pyrolysis. Journal of Porous Materials 7: 509-517. Antal, M.J. and M. Gronli. (2003). The art, science, and technology of charcoal production. Industrial and Engineering

Chemistry Research 42:1619-1640. Asada, T., Ishihara, S., Yamame, T., Toba, A., Yamada, A., and Oikawa, K. 2002. Science of bamboo charcoal: study on

carbonizing temperature of bamboo charcoal and removal capability of harmful gases. Journal of Health Science 48[6], 473-479.

Bansal, R.C., J. Donnet, F. Stoeckli. 1988. Active Carbon. Marcel Dekker, Inc. New York. 482 pp. Barkauskas, J. (2002). Functional groups on the surface of activated carbons. Part A. Investigation by means of proton

affinity distribution. Chemine Technologia, 24 (3). Benaddi, H., T. J. Bandosz, J. Jagiello, J. A. Schwarz, J. N. Rouzaud, D. Legras, and F. Beguin. 2000. Surface

functionality and porosity of activated carbons obtained from chemical activation of wood. Carbon 38(5):669-674. Boehm, H.P. (1994). Some aspects of the surface chemistry of carbon balcks and other carbons. Carbon, 32 (5), pp. 759-

769. Gaskin, J., L. Morris, D. Lee, R. Adolphson, K. Harris, and K.C. Das. (2006). Effect of pyrolysis char on corn growth and

loamy sand soil characteristics. Abstracts of American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America International Annual Meetings. Nov. 12-16, 2006. Indianapolis, IN.

Page 129: Agricultural Applications for Pine-Based BioChar

7

Georgia Forestry Commission. (2007). Georgia Facts. http://www.gfagrow.org/facts.asp Giles, C.H., MacEwan, T.H., Nakhwa, S.N., and Smith, D. 1960. Studies in adsorption. isotherms and its use in

diagnosis of adsorption mechanisms and in measurements of specific surface areas of solids. J. Chem. Soc., London, 3973-3993.

Glaser, B., J. Lehmann, and W. Zech. (2002). Ameliorating physical and chemical properties of highly weathered soils in the tropics with charcoal – a review. Biology and Fertility of Soils 35:219-230

Gregova, K., N. Petrov, and S. Eser. (1994). Adsorption properties and microstructure of activate carbons produced from agricultural by-products by steam pyrolysis. Carbon 32(4):693-702.

Guo, Y. and D. A. Rockstraw. 2007. Physicochemical properties of carbons prepared from pecan shell by phosphoric acid activation. Bioresource Technology, 98 (8), 1513-1521

Harris, K., J.W. Gaskin, L.S. Sonon, and K.C. Das. (2006). Characterization of pyrolysis char for use as an agricultural soil amendment. American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America International Annual Meetings. Nov. 12-16, 2006. Indianapolis, IN.

Iswaran, V., K.S. Jauhri, and A. Sen. (1980). Effect of charcoal, coal and peat on the yield of moong, soybean and pea. Soil Biol. Biochem. 12:191-192.

Iyobe, T., T. Asada, K. Kawata, and K. Oikawa. (2004). Comparison of removal efficiencies for ammonia and amine gases between woody charcoal and activated carbon. Journal of Health Science 50[2], 148-153.

Liang, B., J. Lehman, D. Solomon, J. Kinyangi, J. Grossman, B. O’Neill, J.O. Skjemstad, J. Thies, F.J. Luizao, J. Peterson, and E.G. Neves. (2006). Balck carbon increases cation exchange capacity on soils. Soil Sci. Soc. Am. J. 70:1719-1730.

Lehman, J. and M. Rondon. (2006). Bio-char soil management on highly weathered soils in the humid tropics. In: Uphoff, N., A.S. Ball, E. Fernandes, H. Herren, O.Husson, M.Lang, C. Palm, J. Pretty, P. Sanchez, N. Sanginga, and J. Theis (eds). Biological Approaches to Sustainable Soil Systems. CRC Taylor and Francis, Boca Raton, FL.

Lehman, J. J. Pereira da Silva, Jr., C. Steiner, T. Nehls, W. Zech, and B Glaser. (2003). Nutrient availability and leachng in an archealogical Ahtrosol and a Ferrasol of the Central Amazon basin: fertilizer, manure and charcoal amendments. Plant and Soil 249:343-357.

Lima, I. and W.E. Marshall. 2005a. Adsorption of selected environmentally important metals by poultry manure-based granular activated carbons. Journal of Chem Technol Biotechnol 80:1054-1061.

Lima, I and W.E. Marshall. 2005. Utilization of turkey manure as granular activated carbon: physical, chemical and adsorptive properties. Waste Management 25:726-732.

McBride, M.B. 1994. Environmental Chemistry of Soils. Oxford University Press, 406 pp. Oguntunde, P.G., M. Fosu, A.E. Ajayi, N. van de Giesen. (2004) Effects of charcoal production on maize yields, chemical

properties and texture of soil. Biol. Fertil. Soils 39:295-299. Perkins, H.,F. (1987). Characterization Data for Selected Georgia Soils. The Georgia Agricultural Experiments Stations,

College of Agriculture, The University of Georgia. Athens, GA. Special Publication 43. Sonon, L. K. Harris, J. Gaskin, and K Das. (2006). Phosphorus sorption characteristics of Tifton soil amended with

pyrolysis-derived chars. Abstracts of American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America International Annual Meetings. Nov. 12-16, 2006. Indianapolis, IN.

Sposito, G. (1989). The Chemistry of Soils. Oxford University Press. NY, USA. Stoeckli, F., A. Guillot, and A.M. Slasli. (2004). Specific and non-specific interactions between ammonia and activated

carbons. Carbon 42 (8-9): 1619-1624. Strelko, V., D.J. Malik, and M. Streat. (2002). Characterisation of the surface of oxidized carbon adsorbents. Carbon

40(1):95-104. Steiner, C., W.G. Teixeira, J. Lehman, T. Nehls, J.L. Vasconcelos de Macedo, W. E. H. Blum, W. Zech. (2007). Lang

term effects of manure, charcoal and mineral fertilization on crop production and fertility on a highly weathered Central Amazonian upland soil. Plant Soil 291(1-2):275-290.

Steiner, C. W.G. Teixeira, J. Lehman, and W. Zech. (2004). Microbial response to charcoal amendments of highly weathered soils and Amazonian dark earths in Central Amazonia – Preliminary results. In: B. Glaser and W.I. Woods (eds). Amazonian Dark Earths: Explorations in Space and Time. Springer-Verlag, New York, NY. pp. 195-212.

Sumner, M.E. and W.P. Miller. (1996). Cation exchange capacity and exchange coefficients. In: Methods of Soil Analysis. Part 3. Chemical Methods. Soil Sci. Soc. Am. and Am. Soc. Agron. SSSA Book Series No. 5.

Topoliantz, S., J-F. Ponge, and S. Ballof. (2005). Manioc peel and charcoal: a potential organic amendment for sustainable soil fertility in the tropics. Biol. Fertil. Soils 41:15-21.

USDA. (2002). Census of Agriculture. 29 May 2007. <http://www.nass.gov/Data_and_Statistics/Quick_Stats/>

Page 130: Agricultural Applications for Pine-Based BioChar

Danny M. Day, Eprida, Inc., 6300 Powers Ferry, Suite 307, Atlanta, Georgiadanny.day AT eprida.com, 404-228-8687Robert J. Evans, National Renewable Energy Laboratory, Golden, CoJames W. Lee, Oak Ridge National Laboratory, Oak Ridge, TN

Introduction and Abstract

Carbon dioxide (CO2) emissions from fossil fuel combustion directly contribute to ris ing atmospheric CO2 levels, which in turn are likely linked to global climate change. The need for efficient and economical technologies to rapidly sequester point source production of carbon dioxide has become both an urgent and widespread technical need. The significant adoption of any mitigation technology requires a measurable return to end-users. An example is coupling enhanced oil recovery (EOR) with deep well injection of CO2, though to be economically viable, the carbon dioxide source must be co-located with the oil fields. We propose an integrated sequestration approach in which agricultural waste products are used to produce hydrogen, a renewable fuel, and a carbon sequestering soil amendment (char) as a valuable co-product. The dual function char,derivitized with ammonium bicarbonate (2NH4HCO3) (“ABC”) obtained from treating power plant CO2 emissions, acts both as an enriched carbon, organic slow release fertilizer and a long-lived carbon storage medium in soils or ECOSS™.

This project had the following objectives:

?To verify a hydrogen co-product could be produced that would offer sufficient value for high volume application

?Test a simply production process that would allow the co-product to be produced from the exhaust of fossil fuel combustion,

?Analyze the material for characteristics needed of a large volume co-product.

The ammonium bicarbonate technology, developed through the collaboration of Oak Ridge National Laboratory (ORNL), the National Renewable Energy Laboratory (NREL) and Eprida Scientific Carbons, Inc. (E-SCI), operates at ambient temperature and pressure and does not require carbon dioxide separation or energy intensive compression. Chars generated from agricultural waste pyrolysis have been derivitized with the ammonium bicarbonate. This research provides results that point toward the utilization as a time-release fertilizer while concurrently sequestering stable charcoal in soils and producing an excess of hydrogen. This hydrogen manufacturing and sequestration strategy utilizes the largest existing market for hydrogen (i.e. the production of fertilizer) and leverages the existing farm fertilizer infrastructure to restore soil carbon lost by erosion and extensive tillage. An ancillary benefit of this process is the accrual of carbon credits from capturing power plant emissions, producing a long-lived carbon soil amendment, and enhancing plant growth. If this integrated strategy ultimately proves successful, then the agricultural sector can play an inte gral role in developing the hydrogen economy and restore soil carbon, sequestering vast amounts of carbon, while increasing available nitrogen and sustained natural sequestration will occur through enhanced plant growth. Implementation could allow hydrogen production to work synergistically with fossil fuel emission reductions. A global economic stimulus is possible through profitable sequestration, increased farm productivity, local energy production, rural income opportunities, small business development and offer hope for a positive and sustainable future.

Distributed Hydrogen Production with Profitable Carbon Sequestration: A Novel Integrated Sustainable System for Clean Fossil Fuel Emissions and a Bridge to the New Hydrogen Economy and Global Socio-Economic Stability

1

Page 131: Agricultural Applications for Pine-Based BioChar

Step 1. Hydrogen Production Leveraging Photosynthesis

Extract Hydrogen From Organic Matter

100-Hour Field Demonstration of Hydrogen From Biomass Catalytic Steam Reforming (August 2002)

Catalytic Steam Reforming60% H220% CO27% CO3% CH4

Plus 20% (by weight) Charcoal

But why produce charcoal?2

Page 132: Agricultural Applications for Pine-Based BioChar

Step 2: Evaluation of Charcoal as a Sequestration Media and Carrier for Plant Nutrients

Charcoal Background

? Forest fires have been sequestering carbon in the soil in as charcoal for billions of years ? The half-life of charcoal in the soil is measured in 1000’s of years (Skjemstad)? Charcoal even in weathering environments can be found as old as 11,000 years old (Gavin)

A Valuable Co-Product?

We began to investigate the use of the material as a soil amendment and nutrient carrier after employees mentioned that a mound of char, used to supply char for start-up operations was covered in vegetation and more specifically turnips. Someone had tossed some turnip seeds, on the two year old, chest high, char pile. It was comprised only of char with no soil, yet on plants completely covered the mound. The plants appeared healthy with roots that enveloped each char particle. The turnips, unfortunately could not be inspected as they already had been eaten, but it was reported they were “Good!”.

The missing turnips

Charcoal is a natural part of all soil carbon content

Carbon in the Soil?Char is a pyrogenic carbon, often lumped under the classification of black carbon

? Black carbon is a term widely used for soot, an amorphous residue of combustion and a contributor to global warming. Char is not soot.

? Char found in soils from forest and range fires has a carbon framework remaining after the pyrolysis of volatile organics.

? Charcoal has proven itself with over 2000 years of testing as a soil amendment in terrapreta soils.

The Terra Preta Soil Experiment, 2000 Years Old

Terra Preta refers to black high carbon (9%) earth-like anthropogenic soil with enhanced fertility due to high levels of soil organic matter (SOM) and nutrients such as nitrogen, phosphorus, potassium, and calcium. Terra Preta soils occur in small patches averaging 20 ha. These man-made soils are found in the Brazilian Amazon basin, also in Western Africa and in the savannas of South Africa. C14 dating the sites back to between 800 BC and 500 AD. Terra Preta soils are very popular with the local farmers and are used especially to produce cash crops such as papaya and mango, which grow about three times as rapid as on surrounding infertile soils.

(Map reprinted by permission: Steiner, 2002)

3

Page 133: Agricultural Applications for Pine-Based BioChar

Pyrogenic Carbon Benefits• Terra Preta soils contain 15-60 Mg/ha C in 0-0.3m but 1-3Mg/ha may be

sufficient to enhance plant growth (GLASER et al.)

• Surface oxidation increased cation exchange capacity (GLASER)

• Char decreased leaching significantly (LEHMANN)

• Char traps nutrients and supports microbial growth (Pietikainen)

• Char increased available water capacity by more than 18% than surrounding soils (GLASER)

• Char experiments have shown up to 266% more biomass growth (STEINER) and 324% (Kishimoto and Sugiura)

The images above were provided for this poster by Christoph Steiner, who has been recreating Terra Preta soils in Brazil since 1999.

•Amount of applied organic matter (25% increase of Corg in 0-10 cm• Increased the soil C content ~ 0.75% •Applied Charcoal 11 t / ha•Mineral fertilizer: N (30), P (35), K (50), lime (2100 kg/ha)

International Workshop on Anthropogenic Terra Preta Soils, (July 2002 Brazil)

Current Research

1. A source for microbial energy

2. Low leaching rates

3. Internal pore structure for deposition

4. Good cation exchange

Leaching Examination of Different Chars

77.5

88.5

99.510

pH Int

itail 2 4 6 8 10 12

100ml Rinse - Char Sample 20.0g

pH

900 C

600 C

450 C

400 C

Characteristics of an Optimized Pyrogenic Fertilizer

Intra-particle volatile fatty acids deposits (Runkle et al.) occurring inside exothermic zone of pyrolysis are an excellent microbial energy source (Westjohn et al.) for processing nitrogen compounds. We speculated that near the dew point temperature a suitable material might require no outside fuel.

Leaching experiments were conducted of materials from different temperatures. Crushed and sieved (US #30 mesh), 20g samples was soaked for 5 minutes in 48% NH4NO3 solution and allowed to dry for 24 hours. Samples were leached with 100 ml rinses ( 8.0 pH). The 400C sample displayed very low leaching rates and was chosen as a starting material.

4

Page 134: Agricultural Applications for Pine-Based BioChar

Step 3: Process MapAn additional benefit of the process is its ability to combine with SOx and NOx from fossil fuel exhaust. Both of the molecules are scrubbed from the exhaust to form value added nutrients.

Step 3: Process Map

Process Flow : H2 Production w/ECOSS (Patent Pending)

PyrolysisReactor#3 (Opt)

Char

Steam

Pressure Swing Adsorption

Purifier/Dryer N2

CO2

Compressor

Heat Exchanger

Catalytic Converter

CondenserRecyclingPump

FluidizedCyclone

PyrolysisOff-Gas

AmmoniaChar

Fossil Fuel Gases w/ CO2/SOx/NOx

CleanExhaust

Multistage ReleaseECOSS Fertilizer

Water

Stea

m R

efor

mer

(or

alte

rnat

e H

2Sy

stem

)

H2 + CO2

PyrolysisReactor#2 (Opt)

PyrolysisReactor

#1

CharChar

BlendingMetering

Forest Residue / Energy Crops

Nutrient Mix/PK

H2(27%)

H2 (73%) Use/Sell

(Opt. Ammonia Purchased)

5

Page 135: Agricultural Applications for Pine-Based BioChar

The reactor was fed powdered char, ammonia (saturated with water), and CO2. A variable speed rotor suspended the particles and as the ammonia and CO2 derivitizedammonium bicarbonate, they would gain mass and move down the cyclone until reaching the discharge cyclone. The speed of the rotor controlled average residency time. The sand like material formed within 5-15 minutes and the larger granules (Nitrogen >10%) between 15-30 minutes.

Step 4: Bench Scale Reactor

50 kg of char was prepared at 400C. After initial heat up, no additional heat was added and the pyrolysis unit ran exothermically. The high temperature rotary value discharged the char into a closed container where it cooled. The granular material was ground and sieved to a uniform particle range. (20-30 US Mesh)

Step 4: Bench Scale Reactor

Step 5:Analysis

The exterior images show the visible build up on the outside of the particles. After crushing a particle, the formation of the ammonium bicarbonate inside the fractures and interior cavities can be clearly identified.

Formation of ABC in Fractures

Sizable Interior Cavities

Exterior Buildup as Expected

Slow Release Mechanisms

Volcano like Structures

around pores

Interior View 422x

Char

Sand like

Granular

Exterior

6

Page 136: Agricultural Applications for Pine-Based BioChar

ABC Deposits

Charred Plant

FrameworkThe image below shows ammonium bicarbonate has filled the interior of the large granular particles.

Granular Interior – 1000X

Interior Image (Sand Like - 2000X)The SEM to the left is of the sand like material and was taken of the crushed interior. The charred carbon framework of the plant cell structure is visible, appearing like plastic. The volatile organics inside this char provide the needed energy source for microbial action. The ammonium bicarbonate appears as cotton-like fibers.

ABC Deposits

Charred Plant

Framework

ABC Deposits

Charred Plant

FrameworkThe image below shows ammonium bicarbonate has filled the interior of the large granular particles.

Granular Interior – 1000X

Interior Image (Sand Like - 2000X)The SEM to the left is of the sand like material and was taken of the crushed interior. The charred carbon framework of the plant cell structure is visible, appearing like plastic. The volatile organics inside this char provide the needed energy source for microbial action. The ammonium bicarbonate appears as cotton-like fibers.

Current energy use ~400Ej/yr (Lysen) and CO2 is increasing by 6.1 Gt/yr (IPCC). Each 1.0 MBTU H2/ECOSS represents 91kg (as measured, notcalculated) of sequestered CO2, then 6.1Gt/91kg equals 0.07Ej or 0.01.8% of the current world consumption of energy.

Step 6: Potential Impacts Evaluation

-100 -50 0 50 100

H2 & ECOSS

Natural Gas (Pipeline)

Liquified Petroleum Gases (LPG)

Propane

Gasoline

Diesel

Bituminous

Fuel

Carbon Dioxide per Million BTU

CO2 kg/MBTU

7

Page 137: Agricultural Applications for Pine-Based BioChar

Conclusions

Material Balance and Production Limits (Energy is not the limiting factor) At theoreticalmaximum H2 –CO2 conversion there would only be enough CO2 to convert 61% of H2 toABC and since our target nitrogen content for the pyrogenic carbon is 10%, (requiring 45%carbon by weight), our limit becomes the 20% carbon char (wt. 12) vs the 56% of ABC(mol.wt. 79). The limit is therefore the carbon char as a carrier utilizing only 27% of avail-able hydrogen but sequestering 91kg of carbon dioxide (as measured experimentally) permillion BTU of hydrogen utilized for energy. In addition, there is more than 91kg when thecarbon sequestered in the form of additional plant growth and CO2 equivalents from reducedgreenhouse gas emissions from lower power plant and fertilizer NOx release.

? Hydrogen and carbon sequestration can be economically combined.

? Production of a valuable sequestering co-product during hydrogen production has a

potentially large volume application

? The material displays characteristics which will reduce nutrient leaching and loss

? Production of a nutrient inside carbon pores for physical slow release mechanism possi-

bly enhancing plant uptake and reducing fertilizer GHG emissions.

? Physical micro pore structure offers safe haven for enhanced microbial activity and in-

creased soil fertility

? Intra-particle deposition of volatile fatty acids offer microbial energy source and enhance-

ment of nitrogen compound processing.

? Increased cation exchange and water holding capacity provide better plant-soil efficien-

cies.

? Provides a stable sequestration method where existing fertilizer business infrastructure

can profit

? Offers forestry and agriculture a method to enhance carbon sequestration and fiber/crop

yields

8

Danny DayEprida6300 Powers Ferry Rd, Suite 307Atlanta, GA 30339

danny.day AT eprida.com404-228-8687http://www.eprida.com

Page 138: Agricultural Applications for Pine-Based BioChar

The Potential for BiofertilisersThe growth in agricultural production during the last three decades has been accom-panied by a sharp increase in the use of chemical fertilisers, causing serious concern(Marothia, 1997). Foremost among these concerns is the effect of excessive fertiliser(especially nitrogenous fertilisers) on the quality of soil and ground water.8

Biofertilisers are considered to be an important alternative source of plant nutrition.They are biologically active products, including bacteria, algae or fungi, with the abilityto provide plants with nutrients. Most biofertilisers belong to one of two categories:nitrogen fixing and phosphate solubilising. Nitrogen fixing biofertilisers fix atmos-pheric nitrogen into forms which are readily useable by plants. These include rhizo-bium, azatobacter, azospirillum, blue green algae (BGA) and azolla. While rhizobiumrequires symbiotic association with the root nodules of legumes to fix nitrogen, otherscan fix nitrogen independently. Phosphate solubilising micro-organisms (PSM) secreteorganic acids which enhance the uptake of phosphorus by plants by dissolving rockphosphate and tricalcium phosphates. PSMs are particularly valuable as they are notcrop specific and can benefit all crops (Table 2).

Table 2. Major biofertilisers and target crops

Biofertiliser Target CropRhizobium Leguminous crops

(Pulses, oilseeds, fodder)Azatobacter Wheat, rice, vegetablesAzospirillum rice, sugarcaneBlue green algae (BGA) riceAzolla ricePhosphate solubilising microorganisms (PSMs) all

Production of biofertilisers in India

The idea of using micro-organisms to improve land productivity has been around inIndia for at least 70 years, but it was only in the 1990s that large scale production ofvarious biofertilisers commenced. Presently, a number of agricultural universities, stateagricultural departments and commercial enterprises produce various biofertilisers.

The promotion of biofertilisers is mainly carried out by the National Biofertiliser Devel-opment Centre (Ghaziabad), which was set up in 1987. The main objectives of theNational Centre are to:

8 GATEKEEPER SERIES NO .SA93

8 Water containing excess of nitrates can affect the blood’s ability to transport oxygen, with serious health implica-tions (WHO, 1963).

Page 139: Agricultural Applications for Pine-Based BioChar

• produce and market biofertilisers of required quality;• isolate and maintain biofertiliser strains suitable to various agro-climatic regions;• train agricultural extension workers;• promote biofertilisers through field demonstrations;• prepare quality parameters;• test samples of biofertilisers produced by others;• provide technical and financial assistance to units producing biofertilisers.

The National Centre has the capacity to produce 375 tons of biofertilisers per year. Inaddition to this, 58 commercial production units have been set up with governmentsupport. India’s total production in 1998-99 was reported to be 16,000 tons.9 Rhizo-bium accounts for the largest proportion (40%) of the total production in India. Thisis followed by azatobacter. With the increase in the price of phosphate fertilisers, thepotential for the use of PSM has also increased.

Effectiveness of biofertilisers

A considerable amount of research has been done to establish the effectiveness of biofer-tilisers on various crops, in different agro-climatic regions. Most agricultural universi-ties, the ICAR and the National Biofertiliser Development Centre have carried out anumber of field trials to document the effectiveness of these micro-organisms. Theseprogrammes show that the use of biofertilisers can have a significant effect on the yieldof most crops. However, their effectiveness is found to vary greatly, depending largelyon soil condition, temperature and farming practices. As an example, Table 3 shows theeffect of azatobacter on yield.

Table 3. Effect of azatobacter on crop yield

Crop Increase in yield over Crop Increase in yield overyields obtained with yields obtained withchemical fertilisers (%) chemical fertilisers (%)

Food grains OtherWheat 8-10 Potato 13Rice 5 Carrot 16Maize 15-20 Cauliflower 40Sorghum 15-20 Tomato 2-24

Cotton 7-27Sugarcane 9-24

Source: Das, 1991

GATEKEEPER SERIES NO .SA93 9

9 Dr. T. Singh, pers. comm., Director, National Biofertiliser Development Centre.

Page 140: Agricultural Applications for Pine-Based BioChar

The Case Study: Karnal and Bhiwani Districts, Haryana

A field study was initiated in two districts in Haryana to try to understand why biofer-tilisers and biopesticides were not being adopted on a wide scale. The study focusedon two districts: Karnal and Bhiwani. While Karnal represents intensive agriculturewith a high degree of irrigation, Bhiwani represents dryland farming, with low levelirrigation. The potential for biofertilisers and pesticides is described below, followedby the results of our interviews with farmers to establish why biofertilisers and biopes-ticdes have not been taken up more widely.

The Potential for Biopesticides and Biofertilisers in Haryana

The problems caused by excessive pesticide use are particularly serious in rice andcotton in Haryana, both important crops in our study districts. The American boll-worm, jassid and white fly in cotton; and stem borer in rice; have developed resistanceto chemicals in many parts of Haryana, including parts of the districts studied. In thissituation there is great potential for biopesticides.

The potential of biofertilisers is evidenced by the fact that about 90% of Haryana’s soilis deficient in nitrogen, indicating severe nutrient deficiency (Dahiya et al., 1993). Thedryland districts such as Bhiwani, Mohindergarh, Sirsa and Faridabad are particularlylow in nitrogen, and soils are short of organic matter due to poor vegetative cover, hightemperatures and the light texture of soil. Biofertilisers could play a role in providingthe much needed nutrients and improving soil conditions in these dryland areas, whichaccount for about 28% of the state’s total cultivable area.

Biofertilisers can also reduce the intensity of chemical fertiliser consumption, especiallyin irrigated areas. With the increase in cropping intensity (see below), the use of chem-ical fertilisers has increased significantly in these areas. The use of organic manure, onthe other hand, has not increased. As a result, many parts of Haryana face deteriorat-ing soil conditions and increasing ground water contamination.

The suitability of biofertilisers for various crops grown in Haryana has been shownthrough demonstrations conducted by the Hissar Centre of the National BiofertiliserDevelopment Centre (NBDC). Azatobacter and azospirillum, which can be used for awide range of crops, are estimated to have particularly large potential. For example,NBDC experiments showed an increase in yield between 3 and 25% with the applica-tion of azotobacter in cotton. Similarly, in the case of wheat, use of azotobacter resultedin yield increases between 2 and 20%.10

10 GATEKEEPER SERIES NO .SA93

10 National project on use and development of biofertilisers. Biofertiliser News, 1(2), December 1993.

Page 141: Agricultural Applications for Pine-Based BioChar

GATEKEEPER SERIES NO .SA93 11

The potential for the use of rhizobium is largely confined to the dryland areas ofHaryana, where pulses are commonly grown, and where the soils show poor to moder-ate nodulation.11

Karnal DistrictIn Karnal the main nutrient and pest problems relate to the district’s high croppingintensity. Wheat-rice rotation has been common for some time now, and cropping inten-sity has recently increased further with the introduction of short duration rice varietiessuch as Govinda (90 days). Planting these varieties allows farmers to take two rice cropsbetween April and October. The first paddy crop is planted in April-May, as soon aswheat has been harvested. This rice crop is ready for harvest by mid July. This isfollowed immediately by the transplanting of fresh paddy seedlings. The second ricecrop is harvested by the end of October, to be followed by wheat, which is sown byearly November.

This very high intensity of cropping has worsened both the soil quality and pest problemin parts of Karnal. It is extremely damaging to the soil condition, as large amounts ofnutrients are used continuously without replenishment. As a new crop is planted assoon as the older crop is harvested (sometimes both activities are done simultaneously),there is no time for proper land preparation and for using organic manure. As the useof chemical fertilisers has increased to provide the required nutrients, soil and waterconditions have deteriorated.

The problem of pests and pesticide use in Karnal is largely confined to rice. Growingtwo rice crops without a break is one factor. The continuation of rice plants in the samefield, and the high degree of moisture, enable pests to multiply without a break, leadingto particularly intense pest attacks in the second crop. Another reason is the popular-ity of certain basmati varieties which are highly susceptible to pests and diseases. Thisis particularly serious in one of the most popular of these varieties, called duplicatebasmati. This variety was introduced about five years ago from West UP, and becamevery popular because of its high yields,12 and totally replaced the desi (traditional)basmati variety in many areas. After performing well for three years, the variety beganto be affected by pests (stem borer, leaf folder and white back plant hopper) and diseases(sheath blight, blast and bacterial leaf blight) two years ago. The attack was particu-larly severe last year, forcing many farmers to stop planting basmati in general, andduplicate basmati in particular. In one of the villages we studied, Kuuchhpura, farmersmade up to 15 pesticide applications last year but could not save the crop. This year,very few farmers have planted basmati in the village.

11 The assimilation of atmospheric nitrogen by the roots of pulse (and other leguminous) crops is carried outby the nodules formed in the roots of these plants. The low degree of nodulation suggests that their ability toassimilate atmospheric nitrogen is low and that they could benefit from the use of rhizobium.12 Compared to the average yield of 10 quintal/acre from desi basmati, the yields of duplicate basmati wereabout 20 quintal/acre.

Page 142: Agricultural Applications for Pine-Based BioChar

The problem of pesticide resistance in stem borer is now common in Karnal, largelycaused by the indiscriminate and excessive use of pesticides. Another important reasonrelates to the fact that farmers in Karnal do not spray their fields themselves. This isdone by professional workers who are sent by the shops selling pesticides. As theseworkers are paid by the area covered, they do a rushed job. The spraying is not uniform:while some parts of the fields get very little, others get excessive pesticides. Secondly,in order to save time they use about one third of the water prescribed to make the pesti-cide solution. The non-uniform spray of highly concentrated pesticide solution isreported to be a major reason for the development of resistance in rice pests in manyparts of the district.13

Bhiwani DistrictIn Bhiwani, the focus of the study is on cotton and gram, which, along with wheat andmustard are the main crops in the area. The use of chemical fertilisers is comparativelylow in Bhiwani, being used only on wheat and cotton, and not at all on gram andmustard. But, as in Karnal, use of organic manure is not common and the condition ofthe soil is poor. Three biofertilisers have potential for Bhiwani: rhizobium for gram andazatobacter and PSM for wheat. The potential of rhizobium is reported to be particu-larly high in Bhiwani because the level of nodulation is very low.

The District Agriculture Department is responsible for the sale of rhizobium in Bhiwani.Being a major gram growing district, it was allocated the largest amount of rhizobiumlast year and its sale to farmers is subsidised at the rate of 50%.

The main pest problem in Bhiwani concerns cotton, which is attacked by American,pink and spotted bollworm, white fly and jassid. These pests have become resistant tomost pesticides. According to a study of pesticide use in Bhiwani in 1998, about 70%of farmers reported that they were unable to control pests with pesticides (Saini andJaglan, 1998). Some of these farmers had used up to 11 pesticide applications.

The pest problem in Bhiwani is closely linked with the spread of irrigation facilities.Large parts of Bhiwani district are irrigated by the Indira Gandhi Canal, which suffersfrom large scale seepage. This has led to a rise in the groundwater level from 50-60 feetbelow the surface in the past to 5-10 feet at present in many areas. As a result, waterlogging and high humidity are serious problems in many areas of the district. Apartfrom causing direct damage, this has also created favourable conditions for the growthof pests. Consequently, the problem of pests has become extremely serious in the districtduring the last five years.

The pest problem caused the area under cotton to decline in the second half of the1990s from 57, 000 hectares in 1996-97 to 51,000 hectares in 1999-2000.14 As in rice

12 GATEKEEPER SERIES NO .SA93

13 Information from the District Agricultural Officers.14 Information provided by the State Agricultural Department, Bhiwani.

Page 143: Agricultural Applications for Pine-Based BioChar

GATEKEEPER SERIES NO .SA93 13

in Karnal, the pest problem in cotton in Bhiwani is closely related to the susceptibilityof the varieties being planted. The cultivation of cotton in this area is comparativelynew: it was introduced in the 1970s. Most of the varieties introduced since then arelong staple, American types. Although they fetch high prices, they are highly suscepti-ble to various cotton pests. The problem of pests and the excessive use of pesticides inBhiwani is mostly confined to the American varieties. Desi varieties, which are compar-atively resistant to pests and diseases, require less use of pesticides.

We observed a shift back in favour of desi cotton in one of the divisions of Bhiwanifollowing severe losses to pests to the American varieties. Whilst many more farmerswould prefer to shift to desi cotton varieties, as they provide stable yields, their whole-sale prices are too low. In addition it appears that the state agriculture departmentprefers to promote long staple American varieties, as they have large domestic andexport markets.

Farmers’ Perspectives

We selected 11 villages from the two districts, six villages from Karnal and five fromBhiwani, in which to interview farmers to establish their awareness and use of biofer-tilisers and biopesticides. A total of 74 farmers from these villages were interviewed, andwere mainly selected because they had attended one of the demonstration programmescarried out by government agencies to promote IPM, biopesticides and biofertilisers(58 of the farmers, or about 80% of the sample). However, some farmers who had notbeen to the programmes were also interviewed (16 farmers). All the farmers were men;only men had participated in the demonstration programmes, and we were told thatmen take the decisions about the types of fertilisers and pesticides to be used.

The farmers included in the study represent the range of small, medium and largefarmers. While 29% of the farmers have less than 5 acres of land, 46% have between5 and 20 acres. 25% of the farmers have landholdings larger than 20 acres. In termsof education, about one third of the farmers have studied up to class 10 or more. Asemi-structured questionnaire was used for interviews, which were conducted infarmers’ homes.

Findings: Biopesticides

Although biopesticides and bio-control agents are important components of IPM, theIPM programmes being conducted by various agencies put very little emphasis on theseagents. None of the farmers we interviewed had ever used biopesticides, and few wereeven aware they existed. We found that none of the farmers had even used neem, widelybelieved to be commonly used by Indian farmers.

In fact, we found that IPM itself was not being practised by most farmers. While someof the farmers were aware of IPM practices, such as the need for monitoring and

Page 144: Agricultural Applications for Pine-Based BioChar

augmenting natural enemies of pests, very few farmers have adopted these practices.None of the farmers practised IPM fully, but about 15% practised partial IPM. In mostcases this meant delaying the first spray of pesticides until damage by pests becomesevident. The situation is particularly bad in Bhiwani, where 85% of farmers reportednot using IPM at all and only 9% reported using some aspects of IPM. Compared tothis, 20% of farmers reported using limited IPM in Karnal. This is despite the fact thatmost of the farmers included in the study participated in the IPM demonstrationprogrammes conducted by the Central IPM.

Why is IPM not practised?We found four important reasons for the low acceptance of IPM:

1. Lack of awareness. This reason was found to be particularly important in Bhiwani,where 77% of farmers were unaware of the concepts of IPM. Compared to this, fewerthan 3% of farmers in Karnal were unaware of IPM. Clearly, there is a big district-wise difference in the success of IPM demonstration programmes and state agriculturalextension workers in familiarising farmers with IPM. In Karnal these agencies havebeen successful in at least making farmers aware of the need to practise IPM.

2. Lack of skills. Almost all the farmers, including all of those who were aware of IPM,reported that they lacked the skills necessary to practise IPM. Their ability to practiseIPM was, for example, severely constrained by the fact that most of them could not differ-entiate between harmful and beneficial insects. In fact, many farmers thought that allinsects were a potential threat to their crop and had to be destroyed. They were also notable to work out economic thresholds15 to determine the timings of pesticide application.

3. Lack of faith in IPM. This factor was found to be very important amongst 60% offarmers in Karnal. Although almost all of them were aware of IPM, they felt that theydid not have sufficient faith in it to reduce the use of chemical pesticides. Many ofthem felt that the support from the agricultural department was not adequate for themto try IPM practices, which were considered risky. As the CIPM personnel do not keepin touch with the farmers after IPM demonstrations, they felt that they would not getadequate advice and support if things went wrong. Similarly, the local extensionworkers (ADOs) are not sufficiently trained in IPM to instil confidence in the farmers.

The issue of skills and confidence is obviously linked to the intensity of trainingprovided by the IPM agencies to farmers and extension workers. We found that thetraining is very basic and superficial, being conducted for three to four days in avillage, during which 30 villagers and five extension workers are trained. The farmersfelt that the training was not intensive and did not impart sufficient skills for themto feel competent and confident in following IPM practices.

14 GATEKEEPER SERIES NO .SA93

15 The economic threshold is the level of pest population at which the damage to crop justifies the use of pestcontrol methods.

Page 145: Agricultural Applications for Pine-Based BioChar

GATEKEEPER SERIES NO .SA93 15

4. IPM practices are difficult and cumbersome. About 70% of the farmers in bothdistricts who were aware of IPM, felt that the IPM practices were too cumbersomeand time consuming to be used regularly. Both the monitoring of pest populationsand the calculation of economic thresholds were considered by farmers to be imprac-tical. In Karnal, where cropping intensity is high, the farmers felt that they did nothave time to keep a close watch on their fields to monitor pests and calculateeconomic thresholds.

Whose advice is taken?An important reason for the failure of the IPM programme, and the lack of biopesti-cide use, is related to the fact that most farmers depend on shopkeepers for advice onpesticide application. More than 80% of the farmers reported that shopkeepers, dealersand representatives of pesticide manufacturers were their most important sources ofinformation about pest control methods (Table 4).

Table 4. Importance of source of advice for pesticide application

Other Extension Shops/manufacturers/ Farmers workers and dealers

agricultural universityKarnal 12 (30) 18 (45) 33 (83)Bhiwani 10 (30) 9 (26) 27 (80)Total 22 (30) 27 (36) 60 (81)

Number of responses=74. Note that some farmers listed more than one source of advice as beingequally important

Note: Figures in parenthesis indicate percentages.

Compared to the manufacturers and sellers of pesticides, agricultural extension workersplay a small role, especially in Bhiwani, where only 26% of farmers reported them tobe important.

The role of shopkeepers and dealers is particularly important because many farmers(58%) purchase their pesticides on credit. This gives the shopkeepers strong controlover the amount and choice of pesticides used. It also makes it easier for the shop-keepers to sell spurious pesticides.

Finally, we found that the knowledge of the State Agricultural Department aboutbiopesticides was extremely limited. This was particularly true of the village levelworkers (ADOs), but also the case even in the Central IPM office in Faridabad. Consid-ering the importance given to the use of biopesticides by national government agen-cies, the neglect of biopesticides at the state and district level is difficult to understand.The main emphasis is on the monitoring of pest populations and the use of economicthresholds, which farmers find too difficult and time consuming. Further, the Haryana

Page 146: Agricultural Applications for Pine-Based BioChar

Agricultural University recommends the use of only two biopesticides (Bt and neem) ononly one vegetable crop. On all other crops, including cotton and rice, the recommen-dations include only chemical pesticides.

Findings: Biofertilisers

Few (19%) farmers have ever used biofertilisers in the two districts. Their number wasespecially small in Karnal, where only three out of 40 farmers had used them. InBhiwani about 75% of farmers were not even aware of biofertilisers; the proportion ofsuch farmers was even higher in Karnal (85%).

The most important reason for this lack of awareness is the fact that agriculture exten-sion workers do not promote biofertilisers. On the whole, only 15% of farmers hadbeen told about biofertilisers by the extension workers. The emphasis on biofertiliserswas particularly low in Karnal, where only one farmer out of 40 had heard about themfrom extension workers.

The District Agricultural Departments do not have a positive attitude towards biofer-tilisers. They feel that their quality is poor, and their performance totally unreliable.Therefore, they are not prepared to risk their reputation and good will with the farmersby recommending them. The extension services run by the Haryana Agriculture Univer-sity (krishi vigyan kendra) feel that in areas of wheat/paddy rotation, such as Karnal,the potential of biofertilisers is low. The farmers in these areas can get the same yieldby using the recommended dose of chemical fertilisers. As these fertilisers are easy touse, the farmers prefer them. Biofertilisers have to be stored and applied in conditionswhich are suitable for the multipication of micro-organisms. This requires special facil-ities and care, which farmers are often unable to provide. Chemical fertilisers, on theother hand, can be stored and applied without special care. In fact, the KVK in Karnaldoes not recommend the use of biofertilisers at all.

Nevertheless, the extension workers in Bhiwani are required to sell a fixed number ofrhizobium packets. This explains the larger number of farmers who are aware of biofer-tilisers, and have used them in this district. But we found that a large proportion of therhizobium allotted to the district is not sold to the farmers, and is allowed to go towaste. The ADOs say that the quality and performance is so poor that the farmers arenot interested in buying it. The quota is shown as sold in official records, and thepayment is made by the ADOs from their salary.16 The fact that the rhizobium meantfor sale in various pulse growing districts is not being used by farmers is widely knownto both the State Agricultural Department and the National Biofertiliser Development

16 GATEKEEPER SERIES NO .SA93

16 For example, one of the ADOs in Bhiwani was given a quota of 2000 packets of rhizobium this year. Hecould manage to sell only about 200 packets, mostly to his contact farmers. But these have not actually beenused by the farmers. He feels that the contact farmers accept biofertilisers because they want to stay in the goodbooks of the ADOs, from whom they receive subsidised or free goods, such as seed kits. He will have to payto the Agricultural Department Rs. 8,000/- (@Rs. 4.00 a packet).

Page 147: Agricultural Applications for Pine-Based BioChar

Centre. However, every year the practice of fixing quotas and reporting of sale is carriedout, as if rhizobium is actually being used.

Out of 19 farmers who were aware of biofertilisers, 14 had used them, showing thatfarmers are prepared to try biofertilisers. However, most of these farmers stopped usingthem after one crop - only three were still using them. Two reasons were reported tobe important for the discontinuation of use: lack of availability and poor performance.

AvailabilityMany farmers who stopped using biofertilisers reported that this was partly because thesupply was extremely unreliable. This was largely because biofertilisers were not beingsold by most shops. While none of the shops stock biofertilisers in Karnal, two shopsin Bhiwani do. The shopkeepers, in turn, say that they do not stock biofertilisersbecause sales are poor. One of the Bhiwani shops, for example, has been stocking biofer-tilisers from National Fertilisers Ltd. for the last four years but has sold only 30 packets.

QualityIt is clear that the poor quality and performance of biofertilisers present serious prob-lems. Most studies suggest that the biofertilisers being sold in the market are contam-inated and have a low count of micro-organisms. It is therefore not surprising that theirperformance is poor and uneven. For example, in a survey of rhizobium carried out byICRISAT, 90% of samples from India were found to have a rhizobia count lower thanthat required for effective performance (Singleton et al., 1996). Incidentally, thisproblem exists in most developing countries. For example, in a survey of 12 develop-ing countries, only 19% of the samples met the standards prevalent in developed coun-tries (Singleton et al., 1996).

The poor performance of biofertilisers in India is primarily linked to inappropriatestrains and inefficient production technology. Essentially, the production of bacterialbiofertilisers requires the selection of strains appropriate for a particular crop in a givenagro-climate. These strains are mass multiplied by adding bacterial culture to a suit-able sterilised broth, either using the shake flask method (for small scale production)or the fermenter method (for large scale production). When an adequate growth ofbacteria is achieved, the solution is mixed with a carrier such as lignite or charcoal andis packaged.

As agro-climatic conditions and soil characteristics vary widely, a large range of strainsof each biofertiliser needs to be isolated for each area. The problem of identifying suit-able strains is particularly serious in north India, as many of the strains do not survivethe very hot temperatures prevalent in these areas. Until strains which can tolerate widevariations in temperature can be identified, the performance of biofertilisers will remainuneven. The Haryana Agriculture University is reported to be working in this directionand has developed improved strains for pearl millet, wheat, mustard, potatoes, andflowering plants. These are, however, yet to be used in large scale production.

GATEKEEPER SERIES NO .SA93 17

Page 148: Agricultural Applications for Pine-Based BioChar

Furthermore, the production of biofertilisers is prone to contamination, which reducesthe effectiveness of micro-organisms. It is, therefore, vitally important that throughoutthe process extreme care is taken to maintain sterile conditions. It is also importantthat precautions are taken to avoid contamination during the packaging, storage andapplication of biofertilisers.

The production technology employed in India is inefficient and is responsible for mostof the contamination common in Indian biofertilisers. Generally, production is under-taken by the flask method, which is unsuitable for large scale production. Althoughsome firms use fermenters, they lack the sophisticated controls and monitoring facili-ties necessary to regulate factors such as pH, temperature and aeration. As a result thequality of the bacterial broth is often poor and uneven.

Another problem relates to the fact that Indian producers do not sterilise the carriersused for mixing the bacterial solution. For example, both the producers in Haryana, theHissar Biofertiliser Centre and the HAU, use non-sterilised charcoal, as they do nothave facilities to sterilise large amounts of charcoal in a short time. This is an impor-tant cause of the poor quality and short shelf life of these biofertilisers (Singh et al.,1999). Although India has ISI (Indian Standards Institution) standards for some of thebiopesticides (rhizobium and azatobacter), they are not enforced. This is reportedlybecause the ISI lacks facilities to test biofertilisers.

ConclusionsBiopesticides

The problem of pests, the development of pesticide resistance and the excessive use ofpesticides need to be seen in the totality of the agricultural system. Our study shows thatin Karnal and Bhiwani the problem is linked to the increase in cropping intensity (threecrops in Karnal), the expansion of irrigation facilities (Bhiwani), the release and adop-tion of susceptible varieties (govinda and basmati rice in Karnal, and American cottonvarieties in Bhiwani), purchase of pesticides on credit (in both the districts) and inap-propriate agricultural practices (the use of contract labour for pesticide application,using power spraying machines in Karnal). In the circumstances, mere reliance on pestcontrol, without correcting the basic problem in the system, will not produce sustain-able results.

The efforts of various government agencies to popularise integrated pest management(IPM), and the use of biopesticides have had little impact. IPM departments have verylittle knowledge and experience of biopesticides, and most state agricultural universi-ties, on whose recommendations pest control methods are promoted, do not include theuse of biopesticides in their recommendations. In the absence of active promotion bythe agriculture department, the demand for these products has not developed. It is forthis reason that most private shops and dealers do not stock and sell biopesticides.

18 GATEKEEPER SERIES NO .SA9318 GATEKEEPER SERIES NO .SA91

Page 149: Agricultural Applications for Pine-Based BioChar

A Study ofBiopesticides andBiofertilisers inHaryana, India

Ghayur Alam

2000

Gatekeeper Series no. 93

Page 150: Agricultural Applications for Pine-Based BioChar

Submitting papers to the Gatekeeper SeriesWe welcome contributions to the Gatekeeper Series from researchers and practitioners alike. The Series addresses issues of interest to policy makers relatingto the broad area of sustainable agriculture and resource management.Gatekeepers aim to provide an informed briefing on key policy issues in a readable, digestible form for an institutional and individual readership largelycomprising policy and decision-makers within aid agencies, national governments,NGOs and research institutes throughout the world. In addition to this primaryaudience, Gatekeepers are increasingly requested by educators in tertiary education institutions, particularly in the South, for use as course or seminar discussion material.

Submitted material must be of interest to a wide audience and may combine anexamination of broad policy questions with the presentation of specific case studies. The paper should conclude with a discussion of the policy implications ofthe work presented.

StyleGatekeepers must be short, easy to read and make simple, concise points.

■ Use short sentences and paragraphs.■ Keep language simple.■ Use the active voice.■ Use a variety of presentation approaches (text, tables, boxes, figures/

illustrations, bullet points).■ Length: maximum 5,000 words

AbstractAuthors should also include a brief summary of their paper – no longer than 450words.

Editorial processPlease send two hard copies of your paper. Papers are reviewed by the editorialcommittee and comments sent back to authors. Authors may be requested tomake changes to papers accepted for publication. Any subsequent editorialamendments will be undertaken in consultation with the author. Assistance withediting and language can be provided where appropriate.

Papers or correspondence should be addressed to:

Gatekeeper EditorSustainable Agriculture and Rural Livelihoods Programme IIED, 3 Endsleigh Street, London WC1H ODD, UK Tel:(+44 020) 7388 2117; Fax: (+44 020) 7388 2826; e-mail: [email protected]

Page 151: Agricultural Applications for Pine-Based BioChar

GATEKEEPER SERIES NO.SA93 1

The Gatekeeper Series produced by IIED’s Sustainable Agriculture and Rural Liveli-hoods Programme aims to highlight key topics in the field of sustainable agricultureand resource management. Each paper reviews a selected issue of contemporary impor-tance and draws preliminary conclusions for development that are particularly relevantfor policymakers, researchers and planners. References are provided to importantsources and background material. The Series is published three times a year – in April,August and December – and is supported by the Swedish International DevelopmentCooperation Agency (Sida).

The views expressed in this paper are those of the author(s), and do not necessarilyrepresent those of the International Institute for Environment and Development (IIED),The Swedish International Development Cooperation Agency (Sida), or any of theirpartners.

Dr Ghayur Alam is Director of the Centre For Technology Studies in New Delhi. Hismain areas of interest include technology policy, intellectual property rights,agricultural biotechnology and the adoption of environmentally suitable technologiesin industry and agriculture. He can be contacted at: Centre For Technology Studies,U 24/20, DLF III, Gurgaon, Haryana 122002, India. Email: [email protected]: +91 (0124) 6355942; Fax: +91 (0124) 6358322

2000

Page 152: Agricultural Applications for Pine-Based BioChar

2 GATEKEEPER SERIES NO.SA93

Executive SummaryThe use of chemical pesticides and fertilisers in Indian agriculture has seen asharp increase in recent years, and in some areas has reached alarming levelswith grave implications for human health, the ecosystem and ground water. It istherefore increasingly urgent that environmentally friendly methods of improv-ing soil fertility and pests and disease control are used.

The potential of biopesticides and biofertilisers for promoting sustainable agri-culture has been known for many years. A number of government agencies,including the Ministry of Agriculture and the Department of Biotechnology, areengaged in supporting research, production and application of these agents.However, in spite of these efforts, their use in India is small. This paper investi-gates the potential of and constraints in the use of biopesticides and biofertilis-ers, taking the state of Haryana as a case study. It explores the factors responsi-ble for the limited use of these agents, based on detailed discussions with alarge number of farmers, various agencies engaged in the promotion of biopes-ticides and biofertilisers, State Agricultural Department officials, and shopkeep-ers.

The study found that for the use of biopesticides, a key problem was thatdepartments promoting Integrated Pest Management (IPM) have very littleknowledge and experience of biopesticides, and most state agricultural universi-ties, on whose recommendations pest control methods are promoted, do nottend to recommend biopesticides. In the absence of active promotion by theagriculture department, the demand for these products has not developed, andmost private shops and dealers do not stock and sell biopesticides. The paperrecommends that the agricultural departments and universities pay greaterattention to the promotion of biopesticides, that IPM training is improved, andthat there is a greater focus on cropping techniques and varieties which do notrequire such a dependence on pesticides.

In the case of biofertilisers, their poor quality and performance is a major factorin their limited uptake by farmers. This is primarily linked to inappropriatestrains and inefficient production technology. As a result it is recommended thatresearch and development to identify more suitable strains, to develop betterproduction technology and quality control methods is greatly increased, andthat in the meantime the various grants and subsidies on biofertilisers are divert-ed to support these R&D programmes.

Page 153: Agricultural Applications for Pine-Based BioChar

A Study of Biopesticides and Biofertilisers inHaryana, India

Ghayur Alam

IntroductionThe use of chemical pesticides and fertilisers in Indian agriculture has seen a sharpincrease in recent years. In some areas, such as Haryana, Punjab and west UttarPradesh, it has reached alarming levels. The heavy use of these chemicals has alreadycaused grave damage to health, ecosystems and ground water. It is therefore increasinglyurgent that environmentally friendly methods of improving soil fertility and pests anddisease control are used.

The potential of biopesticides and biofertilisers for promoting sustainable agriculturehas been known for many years. A number of government agencies, including theMinistry of Agriculture and the Department of Biotechnology, are engaged in support-ing research, production and application of these agents. However, in spite of theseefforts, their use in India is small. This paper investigates the potential of and constraintsin the use of biopesticides and biofertilisers, and explores the factors responsible forthe limited use of these agents. It is based on a study in the state of Haryana, a statewhich represents the problem of excessive use of pesticides and fertilisers, common inmany parts of India. The paper also suggests policy measures for the promotion ofbiopesticides and biofertilisers in the state. The study is based on detailed discussionswith a large number of farmers, various agencies engaged in the promotion of biopes-ticides and biofertilisers, State Agricultural Department officials, and shopkeepers. Thestudy was carried out in 1999 as part of a research project on agricultural problems,undertaken by the Agricultural Economics Research Centre, University of Delhi.

The Potential for BiopesticidesAbout 80,000 tons of pesticides are used in agriculture in India annually (Srinivasan,1997), mostly in cotton and rice. While cotton is planted on about 5% of the totalcultivable area (on about 8 million hectares out of a total of 170 million), it accountsfor about 45% of pesticide application (Dhaliwal and Pathak, 1993). Rice accountsfor another 23%. Vegetables and fruit also account for a significant proportion (Table1).

GATEKEEPER SERIES NO.SA93 3

Page 154: Agricultural Applications for Pine-Based BioChar

Table 1. Cropwise consumption of pesticide in India (%)

Cotton 44.5Paddy 22.8Jowar 8.9Fruits and Vegetables 7.0Wheat 6.4Arhar 2.8Other 7.6Total 100.00

Source: Dudani and Sengupta, 1991

The intensive use of pesticides in agriculture is a cause of serious concern. The problemis especially serious because of the development of resistance to pesticides in importantpests and the presence of pesticide residue in agricultural and dairy products.

Pesticide resistance in agriculture was first noticed in India in 1963 when a number ofserious pests were reported to have become resistant to DDT and HCH (two of themost commonly used pesticides during the 1960s and 1970s). Since then the numberof pests with pesticide resistance has increased. The most serious problem of resistanceis witnessed in cotton, for which American bollworm is a serious pest. The bollwormhas developed resistance to almost all pesticides in a number of regions, and is partic-ularly serious in parts of Punjab, Haryana, Andhra Pradesh, Karnataka and Maha-rashtra. Other important pests of cotton, white fly and jassid, have also developedpesticide resistance in some places.

Growing pesticide resistance has meant that a large proportion of agricultural produc-tion is lost to pests. According to some estimates, these losses amount to between 20-30% of total production (Mehrotra, 1989). The losses are particularly serious in cotton.For example, cotton production in Punjab declined by about 50% during 1997 and1998,1 causing a number of cotton farmers to commit suicide in the affected areas.2

Pesticide resistance has mainly been caused by excessive and indiscriminate use of pesti-cides (Jayaraj, 1989). Pesticides of spurious quality, which are commonly sold in smalltowns and villages, have also contributed to resistance in many areas. For example, inBidar (Karnataka) where the problem of pest resistance has become extremely serious,more than 50 brands of pesticides were found to be sub-standard in 1998-99. In anotherincident, the licenses of 115 pesticide producers were cancelled in Punjab for selling

4 GATEKEEPER SERIES NO.SA93

1 “Another bad season for cotton farmers”, Hindustan Times, September 17, 1998.2 For example, in Punjab 133 farmers were reported to have committed suicide in 1998 due to crop failurecaused by pest attack. “Another farmer in debt trap commits suicide”, Hindustan Times, October 4, 1998.

Page 155: Agricultural Applications for Pine-Based BioChar

GATEKEEPER SERIES NO.SA93 5

sub-standard pesticide.3 Sub-standard pesticides contribute to resistance as the pestsare repeatedly exposed to a low concentration of pesticides. This contributes to thebuild-up of resistance, without destroying the pests.

The other important problem caused by the excessive and inappropriate use of chem-ical pesticides concerns the presence of pesticide residue in food. Many of the pesti-cides currently being used have a tendency to survive in plants for a long time. They alsoenter the food chain and are found in meat and dairy products. The problem of pesti-cide residue is already a serious threat to health and environment in India. The inci-dence of pesticide residue is much higher in India than in developed countries. Forexample, according to one study, more than 80% of milk samples tested in India werefound to contain residues of DDT and HCH (Handa, undated). According to anotherstudy, residue of DDT and benzene hexachloride, both suspected carcinogens, werefound in breast milk samples collected from mothers in Punjab. The amount of residuewas very high and babies were ingesting 21 times the amount of these chemicals consid-ered acceptable through their mothers’ milk (Jumanah, 1994).

Compared to this, only 0.17% of samples tested in the US in 1990 were found tocontain residues over the acceptable limits.4 Similarly, in a study in the UK, only 1% ofthe samples were found to contain residues above the prescribed limit.5

It is clear that the excessive use of chemical pesticides in agriculture is a serious causeof concern. It is, therefore, important that alternative, environmentally friendly methodsof plant protection are adopted, such as integrated pest management (IPM) techniques,including the use of biopesticides.

Biopesticides and Bio-control Agents

Biopesticides are derived from animals, plants and micro-organisms such as bacteriaand viruses. The advantages of biopesticides are:

• They are inherently less harmful than chemical pesticides;• They are more target specific than chemical pesticides affecting only the target pests

and their close relatives. In contrast, chemical pesticides often destroy friendly insects,birds and mammals.

• They are often effective in small quantities. Also, they decompose quickly and do notleave problematic residues.

The most commonly used biopesticides include Bacillus thuringiensis (Bt), Baculovirusesand neem. In addition to these, trichoderma, which is a fungicide, is also used. Bio-control agents, such as Trichogramma, are parasites and predators of pests and their

3 “Another bad season for cotton farmers”, Hindustan Times, September 17, 1998.4 “Current Pesticide Residue Levels in Food are Safe”, Pesticide Outlook (5)1, Feb 94. Cambridge.5 “Latest UK Pesticide Residue Results Published”, Pesticide Outlook, Dec 1994, pp8. Cambridge.

Page 156: Agricultural Applications for Pine-Based BioChar

6 GATEKEEPER SERIES NO.SA93

eggs. These biopesticides and bio-control agents are briefly described below:

• Bacillus thuringiensis (Bt). Bacillus thuringiensis is the most commonly used biopes-ticide globally. It is primarily a pathogen of lepidopterous pests which are some ofthe most damaging. These include American bollworm in cotton and stem borers inrice. When ingested by pest larvae, Bt releases toxins which damage the mid gut ofthe pest, eventually killing it. Bt based pesticides are being marketed by three compa-nies in India. The total sale in 1999 was about 70 tons.6

• Baculoviruses. These are target specific viruses which can infect and destroy a numberof important plant pests. They are particularly effective against the lepidopterouspests of cotton, rice and vegetables. Their large-scale production poses certain diffi-culties, so their use has been limited to small areas. They are not available commer-cially in India, but are being produced on a small scale by various IPM centres andstate agricultural departments.

• Neem. Derived from the neem tree (Azadirachta indica), this contains several chem-icals, including ‘azadirachtin’, which affects the reproductive and digestive processof a number of important pests. Recent research carried out in India and abroad hasled to the development of effective formulations of neem, which are being commer-cially produced. As neem is non-toxic to birds and mammals and is non-carcinogenic,its demand is likely to increase. However, the present demand is very small. Althoughmore than 100 firms are registered to produce neem-based pesticides in India, only ahandful are actually producing it. Furthermore, very little of the production is soldlocally, most being for export markets.

• Trichoderma. Trichoderma is a fungicide effective against soil born diseases such asroot rot. It is particularly relevant for dryland crops such as groundnut, black gram,green gram and chickpea, which are susceptible to these diseases. Three companiesare marketing trichoderma in India.

• Trichogramma. Trichogramma are minute wasps which are exclusively egg-parasites.They lay eggs in the eggs of various lepidopteran pests. After hatching, theTrichogramma larvae feed on and destroy the host egg. Trichogramma is particularlyeffective against lepidopteran pests like the sugarcane internode borer, pink bollwormand sooted bollworms in cotton and stem borers in rice. They are also used againstvegetable and fruit pests. Trichogramma is the most popular bio-control agent inIndia, mainly because it kills the pest in the egg stage, ensuring that the parasite isdestroyed before any damage is done to the crop. A number of countries produceTrichogramma on a large scale. For example, in the former Soviet Union more than10 biological factories were reported to produce about 50 billion Trichograma andother parasites per season. Similarly, more than 50 commercial insectaries are reported

6 Dr MC Sharma, pers. comm. Director, Biotech International, New Delhi.

Page 157: Agricultural Applications for Pine-Based BioChar

GATEKEEPER SERIES NO.SA93 7

to be producing Trichogramma and other parasites in the USA and Canada. A numberof communes in China are also known to produce Trichogramma on a large scale.

Whilst India does not have technology to produce Trichogramma on a large scale, theyare being produced in small scale facilities for local use, mostly by sugar mills and coop-eratives, state agricultural departments, IPM centres and agricultural universities.Recently, some companies have started marketing Trichogramma through direct selling.But the volume of sale is very small. Trichogramma eggs have to be used within a shortperiod (before the eggs hatch). This limits their production and marketing on a largescale, and is also the reason why Trichogramma is not sold through dealers and shop-keepers.

Promotion and effectiveness of Integrated Pest Management andbiopesticides

The Ministry of Agriculture and the Department of Biotechnology are responsible forpromoting biopesticides, the former via the Central IPM Centre (Faridabad), theNational Centre for IPM (NIPM) under the Indian Council For Agricultural Research(ICAR) and the Directorate of Biological Control. As a part of the Department ofBiotechnology’s demonstration programme, biopesticides have been demonstrated onabout 55,000 hectares (Wahab, 1998). The Department has also supported a pilot plantat the Tamil Nadu Agricultural University (Coimbatore) to develop and demonstrateproduction and application technologies for baculoviruses, trichoderma andTrichogramma.

Some Integrated Pest Management (IPM) demonstrations have shown success incontrolling pests without the use of chemical pesticides. For example, NIPM carriedout a demonstration in rice in a village in west UP on 100 acres in 1999. NIPM totallysubstituted chemical pesticides with the bio-control agent Trichogramma, which is effec-tive against both stem borer and leaf folder. According to NIPM, the control of pestswas complete and the yields were between 6-7 tons/hectare. Compared to this, the yieldin the area where chemical pesticides were applied was only 3.5 to 4 tons per hectare(Damodran, 1999).

In another successful demonstration by NIPM on cotton in Maharashtra during 1998-99, Baculoviruses, neem and Trichogramma were found to be more effective in control-ling pests than chemical pesticides. The yield in these plots was about 1 ton/hectare,compared to yields of only 300 to 500 kilograms/hectare in the fields where chemicalpesticides were used.7

7 “Integrated Pest Management Module for Dryland Regions - ICAR Trials in Cotton Fields Successful”.Hindu Business Line, 4.1.1999.

Page 158: Agricultural Applications for Pine-Based BioChar

The Potential for BiofertilisersThe growth in agricultural production during the last three decades has been accom-panied by a sharp increase in the use of chemical fertilisers, causing serious concern(Marothia, 1997). Foremost among these concerns is the effect of excessive fertiliser(especially nitrogenous fertilisers) on the quality of soil and ground water.8

Biofertilisers are considered to be an important alternative source of plant nutrition.They are biologically active products, including bacteria, algae or fungi, with the abilityto provide plants with nutrients. Most biofertilisers belong to one of two categories:nitrogen fixing and phosphate solubilising. Nitrogen fixing biofertilisers fix atmos-pheric nitrogen into forms which are readily useable by plants. These include rhizo-bium, azatobacter, azospirillum, blue green algae (BGA) and azolla. While rhizobiumrequires symbiotic association with the root nodules of legumes to fix nitrogen, otherscan fix nitrogen independently. Phosphate solubilising micro-organisms (PSM) secreteorganic acids which enhance the uptake of phosphorus by plants by dissolving rockphosphate and tricalcium phosphates. PSMs are particularly valuable as they are notcrop specific and can benefit all crops (Table 2).

Table 2. Major biofertilisers and target crops

Biofertiliser Target CropRhizobium Leguminous crops

(Pulses, oilseeds, fodder)Azatobacter Wheat, rice, vegetablesAzospirillum rice, sugarcaneBlue green algae (BGA) riceAzolla ricePhosphate solubilising microorganisms (PSMs) all

Production of biofertilisers in India

The idea of using micro-organisms to improve land productivity has been around inIndia for at least 70 years, but it was only in the 1990s that large scale production ofvarious biofertilisers commenced. Presently, a number of agricultural universities, stateagricultural departments and commercial enterprises produce various biofertilisers.

The promotion of biofertilisers is mainly carried out by the National Biofertiliser Devel-opment Centre (Ghaziabad), which was set up in 1987. The main objectives of theNational Centre are to:

8 GATEKEEPER SERIES NO.SA93

8 Water containing excess of nitrates can affect the blood’s ability to transport oxygen, with serious health implica-tions (WHO, 1963).

Page 159: Agricultural Applications for Pine-Based BioChar

• produce and market biofertilisers of required quality;• isolate and maintain biofertiliser strains suitable to various agro-climatic regions;• train agricultural extension workers;• promote biofertilisers through field demonstrations;• prepare quality parameters;• test samples of biofertilisers produced by others;• provide technical and financial assistance to units producing biofertilisers.

The National Centre has the capacity to produce 375 tons of biofertilisers per year. Inaddition to this, 58 commercial production units have been set up with governmentsupport. India’s total production in 1998-99 was reported to be 16,000 tons.9 Rhizo-bium accounts for the largest proportion (40%) of the total production in India. Thisis followed by azatobacter. With the increase in the price of phosphate fertilisers, thepotential for the use of PSM has also increased.

Effectiveness of biofertilisers

A considerable amount of research has been done to establish the effectiveness of biofer-tilisers on various crops, in different agro-climatic regions. Most agricultural universi-ties, the ICAR and the National Biofertiliser Development Centre have carried out anumber of field trials to document the effectiveness of these micro-organisms. Theseprogrammes show that the use of biofertilisers can have a significant effect on the yieldof most crops. However, their effectiveness is found to vary greatly, depending largelyon soil condition, temperature and farming practices. As an example, Table 3 shows theeffect of azatobacter on yield.

Table 3. Effect of azatobacter on crop yield

Crop Increase in yield over Crop Increase in yield overyields obtained with yields obtained withchemical fertilisers (%) chemical fertilisers (%)

Food grains OtherWheat 8-10 Potato 13Rice 5 Carrot 16Maize 15-20 Cauliflower 40Sorghum 15-20 Tomato 2-24

Cotton 7-27Sugarcane 9-24

Source: Das, 1991

GATEKEEPER SERIES NO.SA93 9

9 Dr. T. Singh, pers. comm., Director, National Biofertiliser Development Centre.

Page 160: Agricultural Applications for Pine-Based BioChar

The Case Study: Karnal and Bhiwani Districts, Haryana

A field study was initiated in two districts in Haryana to try to understand why biofer-tilisers and biopesticides were not being adopted on a wide scale. The study focusedon two districts: Karnal and Bhiwani. While Karnal represents intensive agriculturewith a high degree of irrigation, Bhiwani represents dryland farming, with low levelirrigation. The potential for biofertilisers and pesticides is described below, followedby the results of our interviews with farmers to establish why biofertilisers and biopes-ticdes have not been taken up more widely.

The Potential for Biopesticides and Biofertilisers in Haryana

The problems caused by excessive pesticide use are particularly serious in rice andcotton in Haryana, both important crops in our study districts. The American boll-worm, jassid and white fly in cotton; and stem borer in rice; have developed resistanceto chemicals in many parts of Haryana, including parts of the districts studied. In thissituation there is great potential for biopesticides.

The potential of biofertilisers is evidenced by the fact that about 90% of Haryana’s soilis deficient in nitrogen, indicating severe nutrient deficiency (Dahiya et al., 1993). Thedryland districts such as Bhiwani, Mohindergarh, Sirsa and Faridabad are particularlylow in nitrogen, and soils are short of organic matter due to poor vegetative cover, hightemperatures and the light texture of soil. Biofertilisers could play a role in providingthe much needed nutrients and improving soil conditions in these dryland areas, whichaccount for about 28% of the state’s total cultivable area.

Biofertilisers can also reduce the intensity of chemical fertiliser consumption, especiallyin irrigated areas. With the increase in cropping intensity (see below), the use of chem-ical fertilisers has increased significantly in these areas. The use of organic manure, onthe other hand, has not increased. As a result, many parts of Haryana face deteriorat-ing soil conditions and increasing ground water contamination.

The suitability of biofertilisers for various crops grown in Haryana has been shownthrough demonstrations conducted by the Hissar Centre of the National BiofertiliserDevelopment Centre (NBDC). Azatobacter and azospirillum, which can be used for awide range of crops, are estimated to have particularly large potential. For example,NBDC experiments showed an increase in yield between 3 and 25% with the applica-tion of azotobacter in cotton. Similarly, in the case of wheat, use of azotobacter resultedin yield increases between 2 and 20%.10

10 GATEKEEPER SERIES NO.SA93

10 National project on use and development of biofertilisers. Biofertiliser News, 1(2), December 1993.

Page 161: Agricultural Applications for Pine-Based BioChar

GATEKEEPER SERIES NO.SA93 11

The potential for the use of rhizobium is largely confined to the dryland areas ofHaryana, where pulses are commonly grown, and where the soils show poor to moder-ate nodulation.11

Karnal DistrictIn Karnal the main nutrient and pest problems relate to the district’s high croppingintensity. Wheat-rice rotation has been common for some time now, and cropping inten-sity has recently increased further with the introduction of short duration rice varietiessuch as Govinda (90 days). Planting these varieties allows farmers to take two rice cropsbetween April and October. The first paddy crop is planted in April-May, as soon aswheat has been harvested. This rice crop is ready for harvest by mid July. This isfollowed immediately by the transplanting of fresh paddy seedlings. The second ricecrop is harvested by the end of October, to be followed by wheat, which is sown byearly November.

This very high intensity of cropping has worsened both the soil quality and pest problemin parts of Karnal. It is extremely damaging to the soil condition, as large amounts ofnutrients are used continuously without replenishment. As a new crop is planted assoon as the older crop is harvested (sometimes both activities are done simultaneously),there is no time for proper land preparation and for using organic manure. As the useof chemical fertilisers has increased to provide the required nutrients, soil and waterconditions have deteriorated.

The problem of pests and pesticide use in Karnal is largely confined to rice. Growingtwo rice crops without a break is one factor. The continuation of rice plants in the samefield, and the high degree of moisture, enable pests to multiply without a break, leadingto particularly intense pest attacks in the second crop. Another reason is the popular-ity of certain basmati varieties which are highly susceptible to pests and diseases. Thisis particularly serious in one of the most popular of these varieties, called duplicatebasmati. This variety was introduced about five years ago from West UP, and becamevery popular because of its high yields,12 and totally replaced the desi (traditional)basmati variety in many areas. After performing well for three years, the variety beganto be affected by pests (stem borer, leaf folder and white back plant hopper) and diseases(sheath blight, blast and bacterial leaf blight) two years ago. The attack was particu-larly severe last year, forcing many farmers to stop planting basmati in general, andduplicate basmati in particular. In one of the villages we studied, Kuuchhpura, farmersmade up to 15 pesticide applications last year but could not save the crop. This year,very few farmers have planted basmati in the village.

11 The assimilation of atmospheric nitrogen by the roots of pulse (and other leguminous) crops is carried outby the nodules formed in the roots of these plants. The low degree of nodulation suggests that their ability toassimilate atmospheric nitrogen is low and that they could benefit from the use of rhizobium.12 Compared to the average yield of 10 quintal/acre from desi basmati, the yields of duplicate basmati wereabout 20 quintal/acre.

Page 162: Agricultural Applications for Pine-Based BioChar

The problem of pesticide resistance in stem borer is now common in Karnal, largelycaused by the indiscriminate and excessive use of pesticides. Another important reasonrelates to the fact that farmers in Karnal do not spray their fields themselves. This isdone by professional workers who are sent by the shops selling pesticides. As theseworkers are paid by the area covered, they do a rushed job. The spraying is not uniform:while some parts of the fields get very little, others get excessive pesticides. Secondly,in order to save time they use about one third of the water prescribed to make the pesti-cide solution. The non-uniform spray of highly concentrated pesticide solution isreported to be a major reason for the development of resistance in rice pests in manyparts of the district.13

Bhiwani DistrictIn Bhiwani, the focus of the study is on cotton and gram, which, along with wheat andmustard are the main crops in the area. The use of chemical fertilisers is comparativelylow in Bhiwani, being used only on wheat and cotton, and not at all on gram andmustard. But, as in Karnal, use of organic manure is not common and the condition ofthe soil is poor. Three biofertilisers have potential for Bhiwani: rhizobium for gram andazatobacter and PSM for wheat. The potential of rhizobium is reported to be particu-larly high in Bhiwani because the level of nodulation is very low.

The District Agriculture Department is responsible for the sale of rhizobium in Bhiwani.Being a major gram growing district, it was allocated the largest amount of rhizobiumlast year and its sale to farmers is subsidised at the rate of 50%.

The main pest problem in Bhiwani concerns cotton, which is attacked by American,pink and spotted bollworm, white fly and jassid. These pests have become resistant tomost pesticides. According to a study of pesticide use in Bhiwani in 1998, about 70%of farmers reported that they were unable to control pests with pesticides (Saini andJaglan, 1998). Some of these farmers had used up to 11 pesticide applications.

The pest problem in Bhiwani is closely linked with the spread of irrigation facilities.Large parts of Bhiwani district are irrigated by the Indira Gandhi Canal, which suffersfrom large scale seepage. This has led to a rise in the groundwater level from 50-60 feetbelow the surface in the past to 5-10 feet at present in many areas. As a result, waterlogging and high humidity are serious problems in many areas of the district. Apartfrom causing direct damage, this has also created favourable conditions for the growthof pests. Consequently, the problem of pests has become extremely serious in the districtduring the last five years.

The pest problem caused the area under cotton to decline in the second half of the1990s from 57, 000 hectares in 1996-97 to 51,000 hectares in 1999-2000.14 As in rice

12 GATEKEEPER SERIES NO.SA93

13 Information from the District Agricultural Officers.14 Information provided by the State Agricultural Department, Bhiwani.

Page 163: Agricultural Applications for Pine-Based BioChar

GATEKEEPER SERIES NO.SA93 13

in Karnal, the pest problem in cotton in Bhiwani is closely related to the susceptibilityof the varieties being planted. The cultivation of cotton in this area is comparativelynew: it was introduced in the 1970s. Most of the varieties introduced since then arelong staple, American types. Although they fetch high prices, they are highly suscepti-ble to various cotton pests. The problem of pests and the excessive use of pesticides inBhiwani is mostly confined to the American varieties. Desi varieties, which are compar-atively resistant to pests and diseases, require less use of pesticides.

We observed a shift back in favour of desi cotton in one of the divisions of Bhiwanifollowing severe losses to pests to the American varieties. Whilst many more farmerswould prefer to shift to desi cotton varieties, as they provide stable yields, their whole-sale prices are too low. In addition it appears that the state agriculture departmentprefers to promote long staple American varieties, as they have large domestic andexport markets.

Farmers’ Perspectives

We selected 11 villages from the two districts, six villages from Karnal and five fromBhiwani, in which to interview farmers to establish their awareness and use of biofer-tilisers and biopesticides. A total of 74 farmers from these villages were interviewed, andwere mainly selected because they had attended one of the demonstration programmescarried out by government agencies to promote IPM, biopesticides and biofertilisers(58 of the farmers, or about 80% of the sample). However, some farmers who had notbeen to the programmes were also interviewed (16 farmers). All the farmers were men;only men had participated in the demonstration programmes, and we were told thatmen take the decisions about the types of fertilisers and pesticides to be used.

The farmers included in the study represent the range of small, medium and largefarmers. While 29% of the farmers have less than 5 acres of land, 46% have between5 and 20 acres. 25% of the farmers have landholdings larger than 20 acres. In termsof education, about one third of the farmers have studied up to class 10 or more. Asemi-structured questionnaire was used for interviews, which were conducted infarmers’ homes.

Findings: Biopesticides

Although biopesticides and bio-control agents are important components of IPM, theIPM programmes being conducted by various agencies put very little emphasis on theseagents. None of the farmers we interviewed had ever used biopesticides, and few wereeven aware they existed. We found that none of the farmers had even used neem, widelybelieved to be commonly used by Indian farmers.

In fact, we found that IPM itself was not being practised by most farmers. While someof the farmers were aware of IPM practices, such as the need for monitoring and

Page 164: Agricultural Applications for Pine-Based BioChar

augmenting natural enemies of pests, very few farmers have adopted these practices.None of the farmers practised IPM fully, but about 15% practised partial IPM. In mostcases this meant delaying the first spray of pesticides until damage by pests becomesevident. The situation is particularly bad in Bhiwani, where 85% of farmers reportednot using IPM at all and only 9% reported using some aspects of IPM. Compared tothis, 20% of farmers reported using limited IPM in Karnal. This is despite the fact thatmost of the farmers included in the study participated in the IPM demonstrationprogrammes conducted by the Central IPM.

Why is IPM not practised?We found four important reasons for the low acceptance of IPM:

1. Lack of awareness. This reason was found to be particularly important in Bhiwani,where 77% of farmers were unaware of the concepts of IPM. Compared to this, fewerthan 3% of farmers in Karnal were unaware of IPM. Clearly, there is a big district-wise difference in the success of IPM demonstration programmes and state agriculturalextension workers in familiarising farmers with IPM. In Karnal these agencies havebeen successful in at least making farmers aware of the need to practise IPM.

2. Lack of skills. Almost all the farmers, including all of those who were aware of IPM,reported that they lacked the skills necessary to practise IPM. Their ability to practiseIPM was, for example, severely constrained by the fact that most of them could not differ-entiate between harmful and beneficial insects. In fact, many farmers thought that allinsects were a potential threat to their crop and had to be destroyed. They were also notable to work out economic thresholds15 to determine the timings of pesticide application.

3. Lack of faith in IPM. This factor was found to be very important amongst 60% offarmers in Karnal. Although almost all of them were aware of IPM, they felt that theydid not have sufficient faith in it to reduce the use of chemical pesticides. Many ofthem felt that the support from the agricultural department was not adequate for themto try IPM practices, which were considered risky. As the CIPM personnel do not keepin touch with the farmers after IPM demonstrations, they felt that they would not getadequate advice and support if things went wrong. Similarly, the local extensionworkers (ADOs) are not sufficiently trained in IPM to instil confidence in the farmers.

The issue of skills and confidence is obviously linked to the intensity of trainingprovided by the IPM agencies to farmers and extension workers. We found that thetraining is very basic and superficial, being conducted for three to four days in avillage, during which 30 villagers and five extension workers are trained. The farmersfelt that the training was not intensive and did not impart sufficient skills for themto feel competent and confident in following IPM practices.

14 GATEKEEPER SERIES NO.SA93

15 The economic threshold is the level of pest population at which the damage to crop justifies the use of pestcontrol methods.

Page 165: Agricultural Applications for Pine-Based BioChar

GATEKEEPER SERIES NO.SA93 15

4. IPM practices are difficult and cumbersome. About 70% of the farmers in bothdistricts who were aware of IPM, felt that the IPM practices were too cumbersomeand time consuming to be used regularly. Both the monitoring of pest populationsand the calculation of economic thresholds were considered by farmers to be imprac-tical. In Karnal, where cropping intensity is high, the farmers felt that they did nothave time to keep a close watch on their fields to monitor pests and calculateeconomic thresholds.

Whose advice is taken?An important reason for the failure of the IPM programme, and the lack of biopesti-cide use, is related to the fact that most farmers depend on shopkeepers for advice onpesticide application. More than 80% of the farmers reported that shopkeepers, dealersand representatives of pesticide manufacturers were their most important sources ofinformation about pest control methods (Table 4).

Table 4. Importance of source of advice for pesticide application

Other Extension Shops/manufacturers/ Farmers workers and dealers

agricultural universityKarnal 12 (30) 18 (45) 33 (83)Bhiwani 10 (30) 9 (26) 27 (80)Total 22 (30) 27 (36) 60 (81)

Number of responses=74. Note that some farmers listed more than one source of advice as beingequally important

Note: Figures in parenthesis indicate percentages.

Compared to the manufacturers and sellers of pesticides, agricultural extension workersplay a small role, especially in Bhiwani, where only 26% of farmers reported them tobe important.

The role of shopkeepers and dealers is particularly important because many farmers(58%) purchase their pesticides on credit. This gives the shopkeepers strong controlover the amount and choice of pesticides used. It also makes it easier for the shop-keepers to sell spurious pesticides.

Finally, we found that the knowledge of the State Agricultural Department aboutbiopesticides was extremely limited. This was particularly true of the village levelworkers (ADOs), but also the case even in the Central IPM office in Faridabad. Consid-ering the importance given to the use of biopesticides by national government agen-cies, the neglect of biopesticides at the state and district level is difficult to understand.The main emphasis is on the monitoring of pest populations and the use of economicthresholds, which farmers find too difficult and time consuming. Further, the Haryana

Page 166: Agricultural Applications for Pine-Based BioChar

Agricultural University recommends the use of only two biopesticides (Bt and neem) ononly one vegetable crop. On all other crops, including cotton and rice, the recommen-dations include only chemical pesticides.

Findings: Biofertilisers

Few (19%) farmers have ever used biofertilisers in the two districts. Their number wasespecially small in Karnal, where only three out of 40 farmers had used them. InBhiwani about 75% of farmers were not even aware of biofertilisers; the proportion ofsuch farmers was even higher in Karnal (85%).

The most important reason for this lack of awareness is the fact that agriculture exten-sion workers do not promote biofertilisers. On the whole, only 15% of farmers hadbeen told about biofertilisers by the extension workers. The emphasis on biofertiliserswas particularly low in Karnal, where only one farmer out of 40 had heard about themfrom extension workers.

The District Agricultural Departments do not have a positive attitude towards biofer-tilisers. They feel that their quality is poor, and their performance totally unreliable.Therefore, they are not prepared to risk their reputation and good will with the farmersby recommending them. The extension services run by the Haryana Agriculture Univer-sity (krishi vigyan kendra) feel that in areas of wheat/paddy rotation, such as Karnal,the potential of biofertilisers is low. The farmers in these areas can get the same yieldby using the recommended dose of chemical fertilisers. As these fertilisers are easy touse, the farmers prefer them. Biofertilisers have to be stored and applied in conditionswhich are suitable for the multipication of micro-organisms. This requires special facil-ities and care, which farmers are often unable to provide. Chemical fertilisers, on theother hand, can be stored and applied without special care. In fact, the KVK in Karnaldoes not recommend the use of biofertilisers at all.

Nevertheless, the extension workers in Bhiwani are required to sell a fixed number ofrhizobium packets. This explains the larger number of farmers who are aware of biofer-tilisers, and have used them in this district. But we found that a large proportion of therhizobium allotted to the district is not sold to the farmers, and is allowed to go towaste. The ADOs say that the quality and performance is so poor that the farmers arenot interested in buying it. The quota is shown as sold in official records, and thepayment is made by the ADOs from their salary.16 The fact that the rhizobium meantfor sale in various pulse growing districts is not being used by farmers is widely knownto both the State Agricultural Department and the National Biofertiliser Development

16 GATEKEEPER SERIES NO.SA93

16 For example, one of the ADOs in Bhiwani was given a quota of 2000 packets of rhizobium this year. Hecould manage to sell only about 200 packets, mostly to his contact farmers. But these have not actually beenused by the farmers. He feels that the contact farmers accept biofertilisers because they want to stay in the goodbooks of the ADOs, from whom they receive subsidised or free goods, such as seed kits. He will have to payto the Agricultural Department Rs. 8,000/- (@Rs. 4.00 a packet).

Page 167: Agricultural Applications for Pine-Based BioChar

Centre. However, every year the practice of fixing quotas and reporting of sale is carriedout, as if rhizobium is actually being used.

Out of 19 farmers who were aware of biofertilisers, 14 had used them, showing thatfarmers are prepared to try biofertilisers. However, most of these farmers stopped usingthem after one crop - only three were still using them. Two reasons were reported tobe important for the discontinuation of use: lack of availability and poor performance.

AvailabilityMany farmers who stopped using biofertilisers reported that this was partly because thesupply was extremely unreliable. This was largely because biofertilisers were not beingsold by most shops. While none of the shops stock biofertilisers in Karnal, two shopsin Bhiwani do. The shopkeepers, in turn, say that they do not stock biofertilisersbecause sales are poor. One of the Bhiwani shops, for example, has been stocking biofer-tilisers from National Fertilisers Ltd. for the last four years but has sold only 30 packets.

QualityIt is clear that the poor quality and performance of biofertilisers present serious prob-lems. Most studies suggest that the biofertilisers being sold in the market are contam-inated and have a low count of micro-organisms. It is therefore not surprising that theirperformance is poor and uneven. For example, in a survey of rhizobium carried out byICRISAT, 90% of samples from India were found to have a rhizobia count lower thanthat required for effective performance (Singleton et al., 1996). Incidentally, thisproblem exists in most developing countries. For example, in a survey of 12 develop-ing countries, only 19% of the samples met the standards prevalent in developed coun-tries (Singleton et al., 1996).

The poor performance of biofertilisers in India is primarily linked to inappropriatestrains and inefficient production technology. Essentially, the production of bacterialbiofertilisers requires the selection of strains appropriate for a particular crop in a givenagro-climate. These strains are mass multiplied by adding bacterial culture to a suit-able sterilised broth, either using the shake flask method (for small scale production)or the fermenter method (for large scale production). When an adequate growth ofbacteria is achieved, the solution is mixed with a carrier such as lignite or charcoal andis packaged.

As agro-climatic conditions and soil characteristics vary widely, a large range of strainsof each biofertiliser needs to be isolated for each area. The problem of identifying suit-able strains is particularly serious in north India, as many of the strains do not survivethe very hot temperatures prevalent in these areas. Until strains which can tolerate widevariations in temperature can be identified, the performance of biofertilisers will remainuneven. The Haryana Agriculture University is reported to be working in this directionand has developed improved strains for pearl millet, wheat, mustard, potatoes, andflowering plants. These are, however, yet to be used in large scale production.

GATEKEEPER SERIES NO.SA93 17

Page 168: Agricultural Applications for Pine-Based BioChar

Furthermore, the production of biofertilisers is prone to contamination, which reducesthe effectiveness of micro-organisms. It is, therefore, vitally important that throughoutthe process extreme care is taken to maintain sterile conditions. It is also importantthat precautions are taken to avoid contamination during the packaging, storage andapplication of biofertilisers.

The production technology employed in India is inefficient and is responsible for mostof the contamination common in Indian biofertilisers. Generally, production is under-taken by the flask method, which is unsuitable for large scale production. Althoughsome firms use fermenters, they lack the sophisticated controls and monitoring facili-ties necessary to regulate factors such as pH, temperature and aeration. As a result thequality of the bacterial broth is often poor and uneven.

Another problem relates to the fact that Indian producers do not sterilise the carriersused for mixing the bacterial solution. For example, both the producers in Haryana, theHissar Biofertiliser Centre and the HAU, use non-sterilised charcoal, as they do nothave facilities to sterilise large amounts of charcoal in a short time. This is an impor-tant cause of the poor quality and short shelf life of these biofertilisers (Singh et al.,1999). Although India has ISI (Indian Standards Institution) standards for some of thebiopesticides (rhizobium and azatobacter), they are not enforced. This is reportedlybecause the ISI lacks facilities to test biofertilisers.

Conclusions

Biopesticides

The problem of pests, the development of pesticide resistance and the excessive use ofpesticides need to be seen in the totality of the agricultural system. Our study shows thatin Karnal and Bhiwani the problem is linked to the increase in cropping intensity (threecrops in Karnal), the expansion of irrigation facilities (Bhiwani), the release and adop-tion of susceptible varieties (govinda and basmati rice in Karnal, and American cottonvarieties in Bhiwani), purchase of pesticides on credit (in both the districts) and inap-propriate agricultural practices (the use of contract labour for pesticide application,using power spraying machines in Karnal). In the circumstances, mere reliance on pestcontrol, without correcting the basic problem in the system, will not produce sustain-able results.

The efforts of various government agencies to popularise integrated pest management(IPM), and the use of biopesticides have had little impact. IPM departments have verylittle knowledge and experience of biopesticides, and most state agricultural universi-ties, on whose recommendations pest control methods are promoted, do not include theuse of biopesticides in their recommendations. In the absence of active promotion bythe agriculture department, the demand for these products has not developed. It is forthis reason that most private shops and dealers do not stock and sell biopesticides.

18 GATEKEEPER SERIES NO.SA9318 GATEKEEPER SERIES NO.SA91

Page 169: Agricultural Applications for Pine-Based BioChar

The following policy measures need to be taken urgently in order to reduce excessiveuse of chemical pesticides.

• Focus on sustainable agriculture by promoting: a) disease and pest resistant, and espe-cially traditional, varieties; b) judicious inter-cropping and c) reduced crop intensity.

• Improvement in the intensity of training for IPM. The focus should be on the qualityof training and not on the number of farmers trained. The training should be followedby regular contact with the trained farmers for providing continous support.

• Promotion of the use of biopesticides by the state agricultural departments and IPMworkers. The state agricultural universities, which have decisive influence over whatpest control methods are promoted by governmental agencies, should pay greaterattention to biopesticides.

Biofertilisers

Despite the Indian government’s efforts to promote the production and use of biofer-tilisers, our study found that biofertilisers have found little acceptance among farmersin Haryana. The problems of unavailability of biofertilisers and their poor quality arelinked. On the one hand, we find that both the State Agriculture Department and shop-keepers are unwilling to stock and sell biofertilisers as they feel that their quality isunreliable. On the other hand, the low demand for biofertilisers has prevented largeinvestment in advanced production and storage facilities, which are required forimproving the quality. It is, therefore, clear that the two problems have to be seen intheir totality, and a new policy is needed, some elements of which are as follows:

• The present policy of providing grants and low interest loans to biofertiliser produc-ers should be abolished; this has resulted in the setting up of a large number of inef-ficient plants, which cannot produce good quality biofertilisers.

• The policy of marketing biofertilisers at very low prices should also be stopped. Theseprices are too low to attract adequate investment in modern manufacturing facilities.Take the example of rhizobium. A 200 gram packet of biofertiliser, which is supposedto replace about 30 kilograms of urea (a commonly used chemical fertiliser), ispurchased by the Agricultural Department for Rs. 8/ packet. This price is not enoughto justify investment in facilities such as charcoal sterilisation plants and cold chainfor storage and transportation. Rhizobium is sold to farmers at a subsidised rate ofRs. 4/-. Our discussions with farmers suggest they feel that nothing so cheap canprovide much nutrition to the plants, and do not value it. The price of biofertilisersshould have some relationship with the price of the chemical fertiliser it replaces.Only then will the producers, the shopkeepers and the farmers begin to take biofer-tilisers seriously.

• The storage and application of biofertilisers require special facilities and skills, whichmost producers, shopkeepers and farmers do not possess. It is important that greater

GATEKEEPER SERIES NO.SA93 19

Page 170: Agricultural Applications for Pine-Based BioChar

R&D efforts are focused on developing biofertilizers which are easier to store andapply.

• Research and development to identify more suitable strains, and to develop betterproduction technology and quality control methods has to be increased greatly. Themoney saved through the abolishment of various grants and subsidies should beinvested in these R&D programmes.

We recommend that the promotion and production of biofertilisers should be suspendeduntil these steps are taken. The present government policy of promoting biofertiliserswithout ensuring good quality and performance has actually harmed their cause, creat-ing a widespread feeling among farmers and extension workers that biofertilisers donot work. It will be better if the production and promotion of biofertilisers is suspendeduntil biofertilisers of improved quality can be made available in adequate quantity. Untilthen all efforts should be focused on developing technology, setting up modern produc-tion facilities and developing infrastructure that will produce and deliver biofertilisersof the required quality.

AcknowledgementsThe study was funded by the Agricultural Economics Research Center, University ofDelhi. The author is grateful to Professor Prem Vashishtha, Director, AgriculturalEconomics Research Center, University of Delhi for his support to the study. The viewsexpressed in the paper, however, are solely the responsibility of the author.

ReferencesDahiya, IS., Grewal, MS. and Kuhad, MS. 1993. Available nitrogen status of the soilsof different districts of Haryana. Haryana Farming, April 1993, 16.

Damodran, H. 1999. Pest control in basmati fields: ICAR methods pays. HinduBusiness Line, October 7, 1999.

Das, HK. 1991. Biological nitrogen fixation in the context of Indian agriculture.Current Science, May 25, 1991: 551-555.

Dhaliwal GS. and Pathak, MD. 1993. Pesticides in the de-veloping world: a boon inban. In: Dhaliwal, GS. and Singh, B. (eds). Pesticides: Their ecological impact indeveloping coun-tries. Commonwealth Publishers, New Delhi.

Dudani, AT. and Sengupta, S. 1991. Status of Banned and Bannable Pesticides.Voluntary Health Association of India, New Delhi.

20 GATEKEEPER SERIES NO.SA93

Page 171: Agricultural Applications for Pine-Based BioChar

Handa SK. Undated. Monitoring of pesticide residues in the Indian environment. In:David, BV. (ed). Pest Management and Pesticides: Indian scenario. NamruthaPublishers, Madras, India.

Jayaraj S. 1989. Advances in biological means of pest control. The Hindu Survey ofIndian Agriculture. Hindu Newspaper Group, India.

Jumanah, F. 1994. Pesticide Policies in Developing Countries: Do they encourageexcessive use? World Bank Discussion Papers 238, The World Bank, Washington DC.

Marothia, DK. 1997. Agricultural technology and environmental quality: aninstitutional perspective. Indian Journal of Agricultural Economics, 25(3): 477-479.

Mehrotra, KN. 1989. Pesticide resistance in insect pests: Indian scenario. PesticideResearch Journal 1(2):95-103, December 1989.

Saini, RK. and Jaglan, RS. 1998. Adoption of insect-pest control practices by Haryanafarmers in cotton: a survey. Journal of Cotton Research and Development, 12(2): 198.

Singh T,.Ghosh, TK., Tyagi, MK. and Duahn, JS. 1999. Survival of Rhizobia and levelof contamination in charcoal and lignite. Annal of Biology 15(2):155-158.

Singleton, PW., Boonkerd, N., Carr, TJ. and Thompson, JA. 1996. Technical andmarket constraints limiting legume inoculant use in Asia. In: Extending NitrogenFixation Research to Farmers’ Fields: Proceedings of an International Workshop onManaging Legume Nitrogen Fixation in the Cropping System of Asia, 20-24 Aug1996, ICRISAT Asia Centre, India.

Srinivasan G. 1997. Panel for reduced use of chemical pesticides. Hindu BusinessLine, November 5, 1997.

Wahab, S. 1998. Bio-control and economics of IPM in India. RIS Biotechnology andDevelopment Review, October 1998, 31-39.

WHO. 1963. International Standards for Drinking Water. World HealthOrganisation, Geneva.

GATEKEEPER SERIES NO.SA93 21

Page 172: Agricultural Applications for Pine-Based BioChar

Gatekeeper Series1. Pesticide Hazards in the Third World: New

Evidence from the Philippines. 1987. J.A.McCracken and G.R. Conway.

2. Cash Crops, Food Crops and AgriculturalSustainability. 1987. E.B. Barbier.

3. Trees as Savings and Security for the RuralPoor. 1992. Robert Chambers, CzechConroy and Melissa Leach. (1st edition,1988)

4-12 Out of Print

13. Crop-Livestock Interactions for SustainableAgriculture. 1989. Wolfgang Bayer andAnn Waters-Bayer.

14. Perspectives in Soil Erosion in Africa:Whose Problem? 1989. M. Fones-Sondell.

15-16. Out of Print

17. Development Assistance and the Environ-ment: Translating Intentions into Practice.1989. Marianne Wenning.

18. Energy for Livelihoods: Putting People Backinto Africa’s Woodfuel Crisis. 1989. RobinMearns and Gerald Leach.

19. Crop Variety Mixtures in MarginalEnvironments. 1990. Janice Jiggins.

20. Displaced Pastoralists and TransferredWheat Technology in Tanzania. 1990.Charles Lane and Jules N. Pretty.

21. Teaching Threatens Sustainable Agricul-ture. 1990. Raymond I. Ison.

22. Microenvironments Unobserved. 1990.Robert Chambers.

23. Low Input Soil Restoration in Honduras:the Cantarranas Farmer-to-Farmer Exten-sion Programme. 1990. Roland Bunch.

24. Rural Common Property Resources: AGrowing Crisis. 1991. N.S. Jodha.

25. Participatory Education and GrassrootsDevelopment: The Case of Rural Appal-achia. 1991. John Gaventa and HelenLewis.

26. Farmer Organisations in Ecuador: Contrib-utions to Farmer First Research and Devel-opment. 1991. A. Bebbington.

27. Indigenous Soil and Water Conservation inAfrica. 1991. Reij. C.

28. Tree Products in Agroecosystems: Econ-omic and Policy Issues. 1991. J.E.M.Arnold.

29. Designing Integrated Pest Management forSustainable and Productive Futures. 1991.Michel P. Pimbert.

30. Plants, Genes and People: Improving theRelevance of Plant Breeding. 1991. Angel-ique Haugerud and Michael P. Collinson.

31. Local Institutions and Participation for Sus-tainable Development. 1992. NormanUphoff.

32. The Information Drain: Obstacles toResearch in Africa. 1992. Mamman AminuIbrahim.

33. Local Agro-Processing with SustainableTechnology: Sunflowerseed Oil in Tanzania.1992. Eric Hyman.

34. Indigenous Soil and Water Conservation inIndia’s Semi-Arid Tropics. 1992. John Kerrand N.K. Sanghi.

35. Prioritizing Institutional Development: ANew Role for NGO Centres for Study andDevelopment. 1992. Alan Fowler.

36. Out of Print

37. Livestock, Nutrient Cycling and SustainableAgriculture in the West African Sahel.1993. J.M. Powell and T.O. Williams.

38. O.K., The Data’s Lousy, But It’s All We’veGot (Being a Critique of ConventionalMethods. 1993. G. Gill.

39. Homegarden Systems: Agricultural Char-acteristics and Challenges. 1993. Inge D.Hoogerbrugge and Louise O. Fresco.

40. Opportunities for Expanding Water Harv-esting in Sub-Saharan Africa: The Case ofthe Teras of Kassala. 1993. Johan A. VanDijk and Mohamed Hassan Ahmed.

41 Out of Print

42. Community First: Landcare in Australia.1994. Andrew Campbell.

22 GATEKEEPER SERIES NO.SA93

Page 173: Agricultural Applications for Pine-Based BioChar

43. From Research to Innovation: Getting theMost from Interaction with NGOs in FarmingSystems Research and Extension. 1994. JohnFarrington and Anthony Bebbington.

44. Will Farmer Participatory Research Survivein the International Agricultural ResearchCentres? 1994. Sam Fujisaka.

45. Population Growth and EnvironmentalRecovery: Policy Lessons from Kenya.1994. Mary Tiffen, Michael Mortimoreand Francis Gichuki.

46. Two Steps Back, One Step Forward: Cuba’sNational Policy for Alternative Agriculture.1994. Peter Rosset and Medea Benjamin.

47. The Role of Mobility Within the RiskManagement Strategies of Pastoralists andAgro-Pastoralists. 1994. Brent Swallow.

48. Participatory Agricultural Extension:Experiences from West Africa. 1995. TomOsborn.

49. Women and Water Resources: ContinuedMarginalisation and New Policies. 1995.Francis Cleaver and Diane Elson.

50. New Horizons: The Economic, Social andEnvironmental Impacts of ParticipatoryWatershed Development. 1995. FionaHinchcliffe, Irene Guijt, Jules N. Pretty andParmesh Shah.

51. Participatory Selection of Beans in Rwanda:Results, Methods and Institutional Issues.1995. Louise Sperling and Urs Scheidegger.

52. Trees and Trade-offs: A StakeholderApproach to Natural Resource Man-agement. 1995. Robin Grimble, Man-KwunChan, Julia Aglionby and Julian Quan.

53. A Role for Common Property Institutionsin Land Redistribution Programmes inSouth Africa. 1995. Ben Cousins.

54. Linking Women to the Main Canal: Genderand Irrigation Management. 1995.Margreet Zwarteveen.

55. Soil Recuperation in Central America: Sust-aining Innovation After Intervention. 1995.Roland Bunch and Gabinò López.

56. Through the Roadblocks: IPM and CentralAmerican Smallholders. 1996. JefferyBentley and Keith Andrews.

57. The Conditions for Collective Action: LandTenure and Farmers’ Groups in the Rajas-than Canal Project. 1996. Saurabh Sinha.

58. Networking for Sustainable Agriculture:Lessons from Animal Traction Develop-ment. 1996. Paul Starkey.

59. Intensification of Agriculture in Semi-AridAreas: Lessons from the Kano Close-SettledZone, Nigeria. 1996. Frances Harris.

60. Sustainable Agriculture: Impacts on FoodProduction and Food Security. 1996. JulesPretty, John Thompson and Fiona Hinch-cliffe.

61. Subsidies in Watershed Development Pro-jects in India: Distortions and Opportu-nities. 1996. John M. Kerr, N.K. Sanghiand G. Sriramappa.

62. Multi-level Participatory Planning forWater Resources Development in SriLanka. 1996. K. Jinapala, Jeffrey D.Brewer, R. Sakthivadivel.

63. Hitting a Moving Target: Endogenous Dev-elopment in Marginal European Areas.1996. Gaston G.A. Remmers.

64. Poverty, Pluralism and Extension Practice.1996. Ian Christoplos.

65. Conserving India’s Agro-Biodiversity: Pro-spects and Policy Implications. 1997.Ashish Kothari.

66. Understanding Farmers’ CommunicationNetworks: Combining PRA With Agricul-tural Knowledge Systems Analysis. 1997.Ricardo Ramirez.

67. Markets and Modernisation: NewDirections for Latin American PeasantAgriculture. 1997. Julio A. Berdegué andGermán Escobar.

68. Challenging ‘Community’ Definitions inSustainable Natural Resource Management:The case of wild mushroom harvesting in theUSA. 1997. Rebecca McLain and Eric Jones.

69. Process, Property and Patrons: LandReform In Upland Thai Catchments. 1997.Roger Attwater.

70. Building Linkages for Livelihood Security inChivi, Zimbabwe. 1997. Simon Croxtonand Kudakwashe Murwira.

GATEKEEPER SERIES NO.SA93 23

Page 174: Agricultural Applications for Pine-Based BioChar

71. Propelling Change from the Bottom-Up:Institutional Reform in Zimbabwe. 1997. J.Hagmann, E. Chuma, M. Connolly and K.Murwira.

72. Gender is not a Sensitive Issue: Institution-alising a Gender-Oriented ParticipatoryApproach in Siavonga, Zambia. 1997.Christiane Frischmuth.

73. A Hidden Threat to Food Production: AirPollution and Agriculture in the DevelopingWorld. 1997. F. Marshall, Mike Ashmoreand Fiona Hinchcliffe.

74. Policy Research and the Policy Process: Dothe Twain ever Meet? 1998. James L.Garrett and Yassir Islam.

75. Lessons for the Large-Scale Application ofProcess Approaches from Sri Lanka. 1998.Richard Bond.

76. Malthus Revisited: People, Population andthe Village Commons in Colombia. 1998.Juan Camilo Cardenas.

77. Bridging the Divide: Rural-Urban Inter-actions and Livelihood Strategies. 1998.Cecilia Tacoli.

78. Beyond the Farmer Field School: IPM andEmpowerment in Indonesia. 1998. Peter A.C. Ooi.

79 The Rocky Road Towards SustainableLivelihoods: Land Reform in Free State,South Africa. 1998. James Carnegie,Mathilda Roos, Mncedisi Madolo, ChallaMoahloli and Joanne Abbot.

80 Community-based Conservation: Experiencesfrom Zanzibar. 1998. Andrew Williams,Thabit S. Masoud and Wahira J. Othman.

81 Participatory Watershed Research andManagement: Where the Shadow Falls. 1998.Robert E. Rhoades.

82 Thirty Cabbages: Greening the Agricultural‘Life Science’ Industry. 1998 William T.Vorley.

83 Dimensions of Participation in Evaluation:Experiences from Zimbabwe and theSudan. 1999. Joanne Harnmeijer, AnnWaters-Bayer and Wolfgang Bayer

84 Mad Cows and Bad Berries. 1999. DavidWaltner-Toews.

85. Sharing the Last Drop: Water Scarcity,Irrigation and Gendered Poverty Eradication.1999. Barbara van Koppen.

86. IPM and the Citrus Industry in SouthAfrica. 1999. Penny Urquhart

87. Making Water Management Everybody’sBusiness: Water Harvesting and RuralDevelopment in India. 1999. Anil Agarwaland Sunita Narain

88. Sustaining the Multiple Functions ofAgricultural Biodiversity. 1999. MichelPimbert

89. Demystifying Facilitation in ParticipatoryDevelopment. 2000. Annemarie Groot andMarleen Maarleveld

90. Woodlots, Woodfuel and Wildlife: Lessonsfrom Queen Elizabeth National Park,Uganda. 2000. Tom Blomley

91. Borders, Rules and Governance: Mappingto catalyse changes in policy and manage-ment. 2000. Janis B. Alcorn

92. Women’s Participation in WatershedDevelopment in India. 2000. Janet Seeley,Meenakshi Batra and Madhu Sarin

93. A Study of Biopesticides and Biofertilisersin Haryana, India. 2000. Ghayur Alam

94. Poverty and Systems Research in theDrylands. 2000. Michael Mortimore, BillAdams and Frances Harris

Gatekeeper paperscan be purchased from IIED’sbookshop. Contact The Bookshop, 3 Endsleigh Street, London WC1HODD, UK. Telephone: +44 (0)20 7388 2117Facsimile: +44 (0)20 7388 2826E-mail: [email protected]: http://www.iied.org/

For further information about the seriescontact:

The Sustainable Agriculture and RuralLivelihoods Programme at the sameaddress, or e-mail: [email protected]

24 GATEKEEPER SERIES NO.SA93

Page 175: Agricultural Applications for Pine-Based BioChar

The Sustainable Agriculture and RuralLivelihoods Programme

The Sustainable Agriculture and Rural LivelihoodsProgramme of IIED promotes and supports thedevelopment of socially and environmentally awareagriculture through policy research, training andcapacity strengthening, networking and informa-tion dissemination, and advisory services.

The Programme emphasises close collaboration andconsultation with a wide range of institutions in theSouth. Collaborative research projects are aimed atidentifying the constraints and potentials of thelivelihood strategies of the Third World poor whoare affected by ecological, economic and socialchange. These initiatives focus on the developmentand application of participatory approaches toresearch and development; resource conservingtechnologies and practices; collective approachesto resource management; the value of wild foodsand resources; rural-urban interactions; and policiesand institutions that work for sustainable agriculture.

The Programme supports the exchange of fieldexperiences through a range of formal and informalpublications, including PLA Notes (Notes onParticipatory Learning and Action – formerly RRANotes), the IIED Participatory Methodology Series,the Working Paper Series, and the GatekeeperSeries. It receives funding from the SwedishInternational Development Cooperation Agency,the British Department for InternationalDevelopment, the Danish Ministry of ForeignAffairs, the Swiss Agency for Development andCooperation, and other diverse sources.

ISSN 1357-9258

International Institute for Environment and Development3 Endsleigh StreetLondonWC1H 0DD

Tel: (+44 020) 7388 2117Fax: (+44 020) 7388 2826E-mail: [email protected]

Page 176: Agricultural Applications for Pine-Based BioChar

Dissolution of phosphorus from animal bone char in 12 soils

G. P. Warren Æ J. S. Robinson Æ E. Someus

Received: 1 May 2008 / Accepted: 28 November 2008 / Published online: 14 December 2008

� Springer Science+Business Media B.V. 2008

Abstract Heat-treated animal bone char (ABC) has

not previously been evaluated for its potential as a

phosphorus (P) fertilizer. ABC, Gafsa phosphate rock

(GPR) and triple superphosphate fertilizer (TSP)

were incubated in 12 soils. Dissolved-P was assessed

by extraction with NaOH and bioavailability with the

Olsen extractant. The rate of P dissolution from ABC

was described almost equally well by the Elovich and

Power equations. After 145 days, the fraction of P

dissolved ranged from 0 to 73% and to 56% for ABC

and GPR, respectively. The most important soil

properties determining P dissolution from ABC were

pH and P sorption. P dissolution was not significant at

soil pH[6.1 (ABC) and[5 (GPR) and the lower the

pH, the greater the Dissolved-P. Dissolved-P also

correlated positively and significantly with inorganic

P sorption, measured by the Freundlich isotherm and

the P sorption index of Bache and Williams (1971).

Soil pH and P sorption index could be combined in

multiple regression equations that use readily

measured soil properties to predict the potential for

ABC dissolution in a soil. Dissolution of P from GPR

correlated with soil pH and exchangeable acidity. In

comparison with GPR, ABC was a better source of

available P, assessed by Olsen-P. In most soils, ABC

increased Olsen-P immediately after application,

including soils of relatively high pH in which GPR

was ineffective. ABC is a P fertilizer of solubility

intermediate between GPR and TSP.

Keywords Available P � Biochar �Fertilizer � Phosphorus � Phosphate rock

Introduction

It is probable that bones have always been regarded

as a valuable manure, and by about the end of the

eighteenth century, their manurial value was attrib-

uted to phosphates (Smith 1959). Bone products

remain advocated and widely used in domestic

gardening (Royal Horticultural Society 2002). How-

ever, by the 1950s, for most commercial farming,

bone and P fertilizers derived from it were sup-

planted by fertilizers made from mineral deposits

(Smith 1959). This lack of interest in bone as a

fertilizer for commercial purposes may explain the

observation that reliable data on the plant availabil-

ity of P from recycled products of P-containing

wastes such as sewage sludge, meat and bone are

G. P. Warren (&) � J. S. Robinson

Department of Soil Science, The University of Reading,

P.O. Box 233, Reading RG6 6DW, UK

e-mail: [email protected]

E. Someus

Terra Humana Ltd, Szechenyi u. 59,

1222 Budapest, Hungary

123

Nutr Cycl Agroecosyst (2009) 84:167–178

DOI 10.1007/s10705-008-9235-6

Page 177: Agricultural Applications for Pine-Based BioChar

rare (Romer 2006). Nevertheless, trials in arable

fields can show a slow release of P from bone,

comparable to that of phosphate rock (PR) directly

applied to soil (Bekele and Hofner 1993) or, in

certain soils, an effectiveness as good as superphos-

phate fertilizer (Ramos 1982). Reasons for looking

at alternative and renewable sources of P include

the future depletion of economically recoverable PR

reserves and the need to restrict introduction of

toxic metals to agricultural soil via fertilizer, for

which bone is a clean P source. For example,

reviews show that cadmium concentrations range up

to only 3.03 mg kg-1 in cattle and pig bone (Doyle

1979) but up to 556 mg kg-1 in PR (Van Kauwen-

bergh 1997). However, concerns have arisen about

the transmission of diseases through animal by-

products and in the European Union, regulations

control their disposal (EU 2002). Controlled thermal

treatment exceeding about 400�C can be used to

make a form of biochar that is free of infective

agents, rich in P, and that we call animal bone char

(ABC). ABC appears potentially an effective P

fertilizer, but it has not been tested for this purpose.

To assess its value and limitations as a P fertilizer,

information is required about its rate of dissolution

in soil and soil properties that may influence its

dissolution.

A substantial body of information exists on the

dissolution rate of P from PR directly applied to soil.

The requirements for P dissolution are a source of

acidity, and sinks for P and Ca (Rajan et al. 1996),

which must be provided by the soil/plant system.

Sedimentary carbonate fluorapatites are the PRs that

are most widely exploited for agriculture (Khasawneh

and Doll 1978). Chemical and X-ray diffraction

evidence show that the inorganic phases of bone

should also be classed as carbonate apatites (LeGeros

1994), so it appears that P dissolution from bone,

ABC and phosphate rock should be controlled by the

same soil factors. However, this hypothesis has not

been tested. The first aim of the work was therefore to

measure the dissolution of P from ABC, in compar-

ison with well-known soluble and slowly-soluble P

fertilizers, relate P dissolution from ABC to a wide

range of soil characteristics, and test the hypothesis

that P dissolution is controlled by the same soil

properties for ABC as for PR. The second aim was to

assess the ability of ABC to improve plant-available

P in soil.

Materials and methods

Soils

Soils were obtained from 12 locations, chosen to

provide a range of types and to include some with

severe P deficiency. Sampling was from the 0 to

20 cm horizon using multiple auger holes or pits.

Stones were removed with a coarse sieve (approx

2 cm aperture), the soil air-dried for 2 or 3 days at

room temperature or in a well-ventilated oven at

30�C and the soil ground to pass a sieve of 2 mm

mesh. Table 1 gives their main properties.

P sources

The ABC (batch SM7) was supplied by Terra

Humana Ltd. It was derived from cattle bone, and

prepared by heating at 400�C for 45 min. Gafsa

Phosphate Rock (GPR), from Tunisia, was a carbon-

ate fluorapatite containing some accessory calcitic

materials (Hammond et al. 1986). A fully soluble

fertilizer, Triple Superphosphate (TSP, containing

20% P), was used to provide a benchmark for

agronomic effectiveness, against which to compare

the slowly soluble sources, and to assess the potential

of soils for immobilization of free phosphate. To

minimise the potential effect of particle size, all P

sources were crushed gently in a pestle and mortar to

pass a 2 mm aperture sieve.

Analytical methods

For the ABC and PR, P extracted by neutral

ammonium citrate was measured by the method of

Mackay et al. (1990), P extracted by water was at a

solid:solution ratio of 1:50 for 1 h at 20�C, and

surface area was measured by gas adsorption. Mea-

surements of Olsen-P (0.5 M NaHCO3 adjusted to pH

8.5), pH in water and 0.01 M CaCl2, exchangeable

acidity, organic C and clay were made as described

by Rowell (1994). Total C was measured by

combustion (Leco model SC444 analyser) and total

P by dissolution in H2SO4/H2O2/Li2SO4/Se solution

at 360�C and colorimetric analysis (Anderson and

Ingram 1993). CEC and exchangeable cations were

measured by the unbuffered method of Sumner and

Miller (1996). pH in KCl and pH buffer capacity

168 Nutr Cycl Agroecosyst (2009) 84:167–178

123

Page 178: Agricultural Applications for Pine-Based BioChar

were measured by the method of Robinson et al.

(1992). The P sorption index of Bache and Williams

(1971) was measured, being the quotient X/logC,

where X equals P sorbed (mg P 100 g-1 soil) and C

the P concentration in solution (lmol P l-1). Two

indices were measured, one with P addition at the

usual P addition rate of 1.5 g P kg-1 (Pindex-1500)

and also at a low rate of 300 mg P kg-1 (Pindex-300),

comparable to the actual rate of added P used in the

incubation experiment. To measure the P sorption

isotherm, samples of soil were equilibrated with end-

over-end shaking for 16 h at 20�C in 0.03 M KCl

(soil:solution = 1:20), with P additions to result in

final concentrations in the range 0 to 20 mg P l-1. In

many soils the amount of readily extractable P was

high and so there was substantial desorption of soil P

at low initial solution P concentrations, making it

difficult to fit equations to describe the P sorption

isotherm. Therefore the data for sorbed P were

adjusted by adding Olsen-P to estimate pre-existing

labile P, and then fitted to the Freundlich isotherm:

P ¼ a Cb ð1ÞThe product of the Freundlich parameters, ab, was

also used in the regression analyses because at a P

concentration of 1, a equals the amount of P sorbed,

and ab equals the P buffer capacity at the same

concentration. Phosphorus sorption properties of the

soils are given in Table 2.

Field capacity for water was estimated by flooding

soil with water and allowing it to drain freely for

24 h. Experimentation showed that for most soils,

wetting air-dry soil to 60% of the field capacity gave

soil that was moist to touch and the texture in a

reasonable state if plants were to have been grown.

Pwllpeiran, Neuhaus and Florasca required wetting to

75% field capacity. Water contents were measured by

oven-drying overnight at 105�C. All results are

presented on an oven-dry basis.

Incubation procedure

Air dry soil (300 g) was mixed with the P amend-

ment, if used, water added to a water content of 60 or

70% field capacity (range 35–70% moisture content)

and mixed again. The treatments were Control (no P),

ABC, GPR and TSP, with additions at rates providing

500 mg P kg-1 soil. There were three replicates of

each treatment. The soils were incubated at 20�C inTa

ble

1C

har

acte

rist

ics

of

the

soil

sas

sam

ple

d

So

ilC

ou

ntr

yC

lay

(%)

Ols

enP

(mg

kg

-1)

Org

anic

C

(gk

g-

1)

pH

,w

ater

pH

bu

ffer

ing

(mm

ol

kg

-1

pH

-1)

Ex

chan

gea

ble

acid

ity

(cm

ol

kg

-1)

CE

C

(cm

ol

kg

-1)

Ex

chan

gea

ble

Ca

(cm

ol

kg

-1)

Lan

du

se

Alb

eng

aIt

aly

18

.86

81

2.0

7.9

12

.68

0.0

44

3.7

21

1.5

1V

eget

able

Dro

even

daa

lN

eth

erla

nd

s8

.35

22

3.2

6.1

20

.40

0.0

75

4.2

52

.84

Veg

/Gra

ss

Flo

rasc

aaH

un

gar

y2

.49

21

70

.26

.87

2.5

00

.06

33

5.8

02

1.9

6V

eget

able

Hu

laIs

rael

78

.72

01

4.4

8.3

32

.73

-0

.02

23

7.1

92

6.4

5V

eget

able

Kib

ok

oK

eny

a2

6.4

14

13

.67

.41

2.5

90

.04

47

.91

3.9

5A

rab

le

Mis

amfu

Zam

bia

25

.95

8.8

5.0

7.5

10

.61

51

.23

0.2

9F

ore

st

Neu

hau

sG

erm

any

4.7

75

17

.05

.51

2.8

40

.14

41

.92

1.1

4G

rass

Fal

low

Od

jaC

amer

oo

n4

6.1

21

1.7

5.0

8.8

50

.29

83

.13

1.2

4A

rab

le

Pw

llp

eira

nU

K4

0.2

17

37

.35

.41

8.0

20

.28

25

.37

3.0

2G

rass

Fal

low

Ro

sem

aun

dU

K3

1.6

17

12

.75

.11

0.7

30

.08

11

2.5

36

.83

Ara

ble

Sze

nte

sH

un

gar

y5

3.0

18

21

.78

.82

4.3

3-

0.0

10

21

.89

13

.88

Veg

etab

le

Wh

itek

nig

hts

UK

16

.18

30

.03

.43

7.0

35

.15

25

.41

1.0

5F

ore

st

aC

om

po

st

Nutr Cycl Agroecosyst (2009) 84:167–178 169

123

Page 179: Agricultural Applications for Pine-Based BioChar

the dark in polyethylene containers with ventilation

holes. Soil water content was maintained by occa-

sional addition of purified water to weight. At days 1,

5, 13, 34, 70 and 145, soil samples were taken from

each replicate for Olsen P and P dissolution analysis.

For some soils, there were minor deviations from this

sampling plan to fit with the calendar. At the end of

the incubation period, a portion of the remaining soil

was air-dried at 30�C and ground to pass a 2-mm

aperture sieve prior to storage for additional analysis.

Dissolved-P in soil

A two-step sequential extraction was performed

following the method of Mackay and Syers (1986).

Soil (containing 0.8 g oven-dry mass) was weighed

into a pre-weighed polymer centrifuge tube (50 ml).

NaCl solution (1.0 M, 40 ml) was added and the tube

shaken end-over-end for 30 min. Following centrifu-

gation (RCF = 500g), the supernatant was carefully

decanted and the tube with moist soil reweighed.

NaOH solution (0.5 M, 40 ml) was added and the

tube shaken with a vortex mixer to re-disperse the

soil. The sample was shaken end-over-end for 16 h,

centrifuged (RCF = 2,800g) and the supernatant

filtered (Whatman 42 filter).

P in the NaCl extract was measured colorimetri-

cally by the molybdenum blue and ascorbic acid

method (Kuo 1996). An aliquot of the NaOH extract

was neutralized with 1 M H2SO4, centrifuged

(RCF = 2,800g) to remove precipitated humic acid,

and the P concentration measured colorimetrically. In

calculation of the results for P extracted by NaOH,

allowance was made for P in the NaCl solution that

was entrained in the moist soil immediately before

addition of NaOH. Dissolved-P was defined as the

difference between treated soil and Control soil (the

mean value) for the P extracted by NaOH.

Description of dissolution rates for ABC

The following equations with two fitted parameters

are commonly used to describe the kinetics of soil

processes such as sorption and dissolution (Sparks

1989):

First order: Q ¼ a 1� e�bT� �

ð2Þ

Elovich: Q ¼ aþ b ln (T) ð3Þ

Powerequation: Q ¼ a Tb ð4Þ

where Q is the quantity of product at time T in days,

and a and b are fitted parameters. In presentation of

results, a and b are re-used in the different equations,

but this does not imply any relationship or connection

between the same parameter symbol used in different

equations. Dissolved-P was used for Q. The results

were fitted by linear regression for the Elovich

equation and by non-linear regression for First order

and Power equations.

Table 2 Phosphorus

sorption properties

of the soils

Soil P sorption index (cg kg-1) Freundlich isotherm parameters

P addition rate (mg kg-1) a (mg kg-1) b (l kg-1)

300 1500

Albenga 2.56 4.8 61.9 0.233

Droevendaal 8.29 10.9 125.3 0.325

Florasca 19.97 29.6 194.6 0.537

Hula 12.21 25.3 193.2 0.372

Kiboko 4.37 6.2 42.0 0.274

Misamfu 7.84 13.9 106.6 0.313

Neuhaus 2.99 5.2 67.9 0.237

Odja 8.68 12.6 97.4 0.326

Pwllpeiran 18.74 27.3 264.8 0.370

Rosemaund 5.82 9.1 66.6 0.352

Szentes 8.02 14.2 96.4 0.397

Whiteknights 14.64 23.6 205.4 0.352

170 Nutr Cycl Agroecosyst (2009) 84:167–178

123

Page 180: Agricultural Applications for Pine-Based BioChar

Statistics

All statistical calculations were made with Genstat

(Lawes Agricultural Trust 2006).

Results

ABC and Gafsa PR

The ABC and GPR contained similar concentrations

of total P (13.4 and 12.5%, respectively). However,

ABC contained very much more P in all extractable

forms; for example, 244 mg kg-1 water extractable P

compared with 42 mg kg-1 in GPR (Table 3).

Organic C was a minor component (10.4%) of ABC.

Olsen-P in soil

The addition of ABC produced an immediate signif-

icant increase in Olsen-P after one day of incubation

in all soils except Albenga and Szentes (Table 4).

The increase, relative to the control, ranged from

6.1 mg kg-1 (Hula) to 44.9 mg kg-1 (Whiteknights).

In most soils where ABC caused immediate Olsen-

P increase, Olsen-P increased further over the incu-

bation period, and by the end of incubation the value

was changing little. In Szentes soil with ABC, Olsen-

P remained unchanged, while in Albenga, Florasca

and Hula, Olsen-P declined (Table 4). In Florasca

and Hula soils, ABC initially gave an increase in

Olsen-P, but not after 145 days.

GPR gave an immediate increase in Olsen-P only

in Odja, Neuhaus, Misamfu and Whiteknights soils.

In the same four soils plus Pwllpeiran, there was a

significant increase in Olsen-P during incubation. In

Albenga and Florasca, there were decreases in Olsen-

P during incubation with GPR, in parallel with those

seen in those soils incubated with ABC.

TSP caused a significant initial increase in Olsen-P

for all soils (Table 4), but the size of the increase

differed between soils and for all TSP treated soils,

Olsen-P was much less than the Control value plus

500 mg P kg-1. During incubation, Olsen-P declined

in all soils except Szentes and Whiteknights. This

suggests that a substantial and variable portion of the

soluble P was sorbed in all soils. The net sorption was

Table 3 Properties of ABC and Gafsa PR

ABC GPR

Total P (%) 13.4 12.5

Neutral ammonium citrate extractable P (%) 11.5 4.1

Olsen P (mg kg-1) 1498 116

Water extractable P (mg kg-1) 244 42

Total C (%) 12.50 2.13

Organic C (%) 10.4 0.38

Surface area (m2 g-1) 82.2 16.5

pH (water) 7.6 6.4

Table 4 Olsen-P (mg kg-1) in soils after incubation without P and with ABC, GPR and TSP

Soil Day 1 Day 145

Control ABC GPR TSP Control ABC GPR TSP

Albenga 54.6 55.6 53.2 429.0 46.6 44.7 41.7 240.1

Droevendaal 52.1 63.8 52.0 235.5 50.2 68.7 50.7 160.1

Florasca 55.2 62.3 58.6 234.7 39.2 41.2 38.9 122.7

Hula 14.2 20.3 15.1 303.3 13.4 14.9 13.3 73.7

Kiboko 13.8 20.5 13.8 432.9 13.9 25.6 12.7 239.0

Misamfu 5.1 48.2 15.0 323.6 5.3 70.8 36.6 167.3

Neuhaus 68.4 88.5 72.1 329.0 67.7 127.8 93.1 271.1

Odja 1.5 25.0 7.2 179.9 1.4 65.0 34.8 133.5

Pwllpeiran 14.2 30.9 16.0 193.8 12.1 47.1 26.5 66.5

Rosemaund 15.0 26.9 15.6 304.9 12.8 44.0 19.1 148.2

Szentes 13.9 16.9 13.8 285.5 11.0 13.1 11.4 287.8

Whiteknights 7.5 52.4 44.6 168.2 11.2 146.7 118.1 174.0

s.e. (df = 71) 1.223 1.223 1.223 62.7 1.611 1.611 1.611 22.77

Nutr Cycl Agroecosyst (2009) 84:167–178 171

123

Page 181: Agricultural Applications for Pine-Based BioChar

estimated by the difference between TSP and Control

treatments for Olsen-P. Hula and Pwllpeiran soils

showed the greatest TSP sorption. It was correlated

significantly with P sorption, assessed by the two P

sorption indices, and highly significantly with Fre-

undlich sorption isotherm parameter a (Fig. 1).

ABC dissolution rate

Data for Dissolved-P from ABC were successfully

fitted to the First order, Elovich and Power equations

for eight soils (Table 5). For Kiboko soil, there was

significant dissolution averaged over all times and

thus in parameter a, but the change from Day 1 to 145

and thus the curvature of the relationship between

Dissolved-P and time was not significant. For the

remaining four soils, there was no significant ABC

dissolution. For most soils, the Elovich and Power

equation fitted almost equally well, judged by

variance accounted for (Table 5), but since the Power

equation gave the best fit for more soils than any

other equation, it was used to describe the dissolution

rate in subsequent work.

Proportion of dissolved-P and soil pH

Dissolved-P was expressed as a percentage of the

amount of P added, and abbreviated to PD34 and

PD145, for 34 and 145 days’ incubation respectively.

In five soils, PD145 was not significantly different

from zero (Table 6). The highest soil pH for signif-

icant P dissolution from ABC was 6.14 (Droevendaal

soil).

y = -0.6847x + 236.79

R2 = 0.51

0

50

100

150

200

250

300

0 100 200 300

Freundlich parameter a

Ols

en-P

from

TS

P,

mg/

kg

Fig. 1 Olsen-P derived from TSP applied at 500 mg P kg-1, at

Day 145 of incubation, in relation to Freundlich parameter a of

the soil P sorption isotherms

Ta

ble

5F

itte

dp

aram

eter

so

fth

eF

irst

ord

er,

Elo

vic

han

dP

ow

ereq

uat

ion

s,u

sed

tod

escr

ibe

Dis

solv

ed-P

fro

mA

BC

(mg

kg

-1)

inre

lati

on

toti

me

(day

s)fo

rei

gh

tso

ils

So

ilF

irst

ord

erp

aram

eter

sE

lov

ich

par

amet

ers

Po

wer

equ

atio

np

aram

eter

s%

Var

ian

ceac

cou

nte

dfo

r

as.

e.b

s.e.

as.

e.b

s.e.

as.

e.b

s.e.

Fir

sto

rder

Elo

vic

hP

ow

er

Dro

even

daa

l5

9.3

4.7

30

.40

30

.18

62

9.0

6.4

08

.19

1.9

03

1.0

5.1

20

.17

02

0.0

42

22

9.0

50

.15

1.6

Kib

ok

o3

1.7

2.7

70

.78

20

.41

42

1.5

5.0

82

.63

1.5

32

2.2

4.7

00

.08

99

0.0

57

72

3.6

10

.81

0.0

Mis

amfu

17

0.5

9.8

90

.26

10

.07

46

81

.07

.19

22

.70

2.1

98

7.5

5.6

50

.16

60

0.0

16

64

2.7

86

.28

7.4

Neu

hau

s8

3.6

7.8

70

.19

70

.08

52

33

.51

1.4

12

.10

3.4

73

9.9

9.5

60

.17

40

0.0

61

63

9.3

39

.73

6.3

Od

ja2

29

.21

6.5

0.0

72

0.0

18

93

1.7

14

.94

3.7

74

.56

60

.41

0.7

0.2

97

30

.04

23

73

.38

4.3

81

.8

Pw

llp

eira

n2

40

.31

5.1

0.0

54

0.0

11

43

5.6

14

.54

2.1

64

.42

56

.77

.92

0.3

11

90

.03

32

80

.58

4.1

88

.6

Ro

sem

aun

d7

5.6

4.3

50

.19

20

.05

05

29

.34

.22

11

.40

1.2

93

3.6

3.3

70

.19

63

0.0

25

46

0.0

81

.98

1.6

Wh

itek

nig

hts

29

2.8

18

.80

.14

40

.03

80

10

4.2

14

.94

4.4

24

.54

11

8.9

10

.30

.21

17

0.0

21

45

5.0

84

.88

7.8

172 Nutr Cycl Agroecosyst (2009) 84:167–178

123

Page 182: Agricultural Applications for Pine-Based BioChar

For GPR, PD145 was significant in only four soils

(Table 6). Compared with ABC, a lower pH was

required for P dissolution, less than 5.03 (Misamfu

soil). Both ABC and GPR caused significant

increases in pH for seven of the soils (Table 6).

These soils were the same seven where PD145 for

ABC was significant. TSP normally lowered pH.

The relationships of PD34 and PD145 with pH

appeared curved because there are four soils with high

pH values and non-significant P dissolution, while at

soil pH less than about 7.0, the relationship between pH

and PD145 was much closer to linear (Fig. 2). It was

considered that if P dissolution did not occur above

about pH 7, then the weaker influence of other soil

properties could be masked for those soils of pH\7.

Therefore, the correlations to assess factors influencing

ABC dissolution were based only on the eight soils

with measurable P dissolution from ABC, comprising

the seven with significant PD145, plus Kiboko.

Although the PD145 for Kiboko soil was not signif-

icant, the fitted dissolution curves did demonstrate

significant P dissolution on average (rate parameter a).

Correlations between ABC dissolution and soil

properties

Significant inverse correlations were found between

PD34 and PD145, and soil pH (Table 7). Significant

positive correlations were found between PD34 and

PD145, and the following properties relating to P

sorption: Freundlich parameters a and ab, and P

sorption index at both rates of P addition. Fitted

parameter a of the Power equation for dissolution rate

correlated significantly with soil pH, but not P

sorption properties, while parameter k showed no

correlation with soil properties. However, dissolution

rate parameter a was significantly correlated with

exchangeable acidity and exchangeable Al.

In most soils, PD145 was greater than PD34, but

the incidence and closeness of significant correlations

with soil parameters was the same for these two

assessments of P dissolution (Table 7). Therefore, it

was decided to use PD145 as the principal assessment

Table 6 Dissolved-P from ABC, GPR and TSP after 145 days’ incubation, as a percentage of P applied (PD145)

Soil PD145 Effect of P source on soil pH (water)

ABC GPR TSP ABC GPR TSP

Florasca -2.8 -4.1 55.7 -0.06 0.06 -0.51

Albenga -1.9 -0.8 -0.4 0.00 0.09 -0.74

Hula -0.3 -0.0 5.9 -0.03 0.02 -0.50

Szentes 0.1 -0.1 56.1 -0.05 0.11 -0.86

Kiboko 8.0 0.6 60.2 0.07 0.11 -0.56

Droevendaal 16.5 1.3 89.8 0.24 0.19 -0.11

Neuhaus 16.9 6.5 56.5 0.43 0.23 -0.29

Rosemaund 19.4 4.6 85.1 0.59 0.34 -0.22

Misamfu 39.6 20.6 82.4 0.98 0.83 0.21

Odja 49.3 28.2 88.8 0.26 0.29 0.10

Pwllpeiran 54.1 23.3 93.7 1.10 0.96 0.19

Whiteknights 68.0 52.5 80.1 0.32 0.46 0.02

Soils are placed in rank order of increasing PD145 for ABC. The effect of P source on soil pH was measured on soils after incubation.

The SEM (df = 72) was 3.00 for PD145 and 0.081 for effect of P source on soil pH

-10

0

10

20

30

40

50

60

70

80

2 4 6 8 10

soil pH

PD

145

(%)

pH KCl

pH water

Fig. 2 Relationships between ABC dissolved at 145 days

(PD145) and initial soil pH in 12 soils. Fitted quadratic lines

are shown for pH in water (dashed) and KCl (solid)

Nutr Cycl Agroecosyst (2009) 84:167–178 173

123

Page 183: Agricultural Applications for Pine-Based BioChar

of P dissolution because it related to more soil

properties than dissolution rate parameter a, and

being a larger value than PD34 was considered to be

a more reliable measurement.

Multiple correlations of PD145 with soil properties

were investigated and the best was with pH (KCl) and

Pindex-300 (% variance accounted for = 91.9%;

Fig. 3):

PD145 ¼72:1� 12:2� pH KClð Þþ 2:22� Pindex-300

ð5Þ

An alternative multiple regression with a good fit

existed with pH in water and Pindex-1500 (%

variance accounted for = 84.5%):

PD145 ¼57:6� 8:62� pH waterð Þþ 1:70� Pindex-1500

ð6Þ

Correlations between GPR dissolution and soil

properties

Significant correlations were found between PD145

for GPR and soil pH, exchangeable acidity and Al,

and Pindex-1500 (Table 7). PD145 for ABC

(PD145[ABC]) and for GPR (PD145[GPR]) were

very closely correlated (r = 0.957, Table 7),

although PD145[GPR] was consistently lower, as

shown by the regression equation:

Table 7 Extract from the matrix of correlation coefficients

between dissolved-P at 34 and 145 days (PD34 and PD145

respectively) for ABC, PD145 for GPR, power equation

parameters a and k for dissolution of ABC, and soil properties,

for the eight soils with measurable P dissolution from ABC

GPR ABC ABC

PD145 PD34 PD145 Power Eq-a Power Eq-k

PD34 (ABC) 0.955*** 1

PD145 (ABC) 0.957*** 0.957*** 1

Power Eq-a 0.930*** 0.890** 0.866** 1

Power Eq-k 0.675 0.675 0.707* 0.309 1

Olsen P -0.508 -0.494 -0.536 -0.456 -0.263

Pindex-300 0.673 0.801* 0.816* 0.549 0.693

Pindex-1500 0.746* 0.864** 0.869** 0.657 0.664

Freundlich-a 0.638 0.776* 0.776* 0.544 0.656

Freundlich-b 0.484 0.583 0.626 0.389 0.612

Freundlich-ab 0.625 0.766* 0.770* 0.52 0.667

pH, water -0.835** -0.823* -0.801* -0.846** -0.510

pH, CaCl2 -0.807* -0.786* -0.759* -0.822* -0.501

pH, KCl -0.888** -0.872** -0.845** -0.924** -0.480

pH Buffer capacity 0.617 0.517 0.510 0.548 0.085

Exchangeable acidity 0.844** 0.704 0.685 0.835** 0.083

CEC -0.252 -0.286 -0.268 -0.359 -0.139

Exchangeable Al 0.818* 0.670 0.649 0.807* 0.055

Exchangeable Ca -0.523 -0.498 -0.476 -0.613 -0.145

Exchangeable K -0.382 -0.506 -0.494 -0.413 -0.641

Exchangeable Mg -0.355 -0.420 -0.378 -0.486 -0.261

Exchangeable Mn 0.182 0.239 0.302 -0.005 0.661

Exchangeable Na -0.262 -0.180 -0.136 -0.449 0.153

Clay 0.215 0.322 0.377 0.037 0.602

Organic C 0.408 0.507 0.503 0.262 0.463

Total C 0.420 0.526 0.524 0.269 0.498

Total P -0.192 0.016 0.043 -0.382 0.461

*, ** and *** denote correlations significant at the 5, 1 and 0.1% levels respectively

174 Nutr Cycl Agroecosyst (2009) 84:167–178

123

Page 184: Agricultural Applications for Pine-Based BioChar

PD145 GPR½ � ¼ 0:781� PD145 ABC½ � � 9:34 ð7Þ

Exchangeable acidity in Whiteknights soil

Exchangeable acidity was measured in the dried

Whiteknights soil after incubation. This soil was

analysed because it gave the highest PD145 and

should therefore demonstrate most clearly the

demands made on soil acidity for P dissolution.

Dissolution of GPR and ABC consumed a large part

of the exchangeable acidity (Table 8). Estimates for

the actual and theoretical consumption of acidity on

dissolution of ABC were compared. The difference in

total exchangeable acidity between ABC and control

treatments was 32.2 mmol kg-1. This difference was

caused by consumption of acidity in order to dissolve

ABC in Whiteknights soil. Whiteknights soil pH after

incubation with ABC was 3.83, and pKa values for

steps 1 and 2 of orthophosphoric acid are 2.12 and

7.21, so it is expected that H2PO4- is the dissolution

product at pH 3.83. If it is assumed that P in ABC

exists as hydroxyapatite and that dissolution was to

H2PO4-, then the dissolution equation is:

Ca5 PO4ð Þ3OHþ 7Hþ ! 5Ca2þ þ 3H2PO4� þ H2O

ð8ÞIt shows that dissolution of 3 mol of P require 7

mol of acidity (H?); therefore 500 mg kg-1 of P

would require (7/3) 9 (500/30.97) = 37.7 mmol kg-1.

PD145 shows that 68% of ABC was dissolved

(Table 6), thus consuming 25.6 mmol kg-1 acidity,

while the measured consumption was 32.2 mmol

kg-1. Given that there is substitution of both cations

and anions in the ABC, and other components such as

carbonate that may consume acidity, this is considered

to be reasonable agreement. Thus the acidity required

to dissolve ABC was provided largely by the inorganic

exchangeable acidity.

Discussion

Influence of soil properties on ABC dissolution

The data for dissolution rate of ABC were interpreted

by fitting to three Eqs. 2–4 that have been commonly

used to assess dissolution rates of materials added to

soil. For most soils, the Power Function (4) gave the

best fit, assessed by the % variance accounted for

(Table 5). Equations 2 and 3 may be justified by

theoretical mechanisms for dissolution reactions

(Chien et al. 1980a). However, although the relation-

ship is empirical, equations of the form of (4) in

respect of time describe well the time course of

desorption of phosphate from soil and soil compo-

nents (Barrow 1979).

Equation 4 fitted the data best for the eight soils

in which significant P dissolution took place.

Therefore, its fitted parameters were the logical

ones to correlate with soil properties and parameter

a showed significant correlations with soil properties

related to acidity (Table 7). However, for this

purpose of investigating the influence of soil prop-

erties on ABC dissolution, the simple percentages of

Dissolved-P from ABC (PD34 or PD145) were

preferred, being correlated with more soil properties,

and would be much easier to measure in future

work, since one measurement only is needed instead

of a time series.

0

10

20

30

40

50

60

70

80

0 20 40 60 80

Fitted Value

PD

145

(%)

Fig. 3 Multiple regression equation describing PD145 (ABC

dissolved at 145 days) in relation to soil pH and soil P sorption

index, for eight soils with significant P dissolution. Fitted

value = 72.1 - 12.2 9 pH(KCl) ? 2.22 9 Pindex-300

Table 8 Exchangeable acidity (cmol kg-1) in Whiteknights

soil after 145 days’ incubation

Treatment Al acidity H acidity Total acidity

Control 4.34 0.70 5.05

ABC 1.43 0.40 1.83

GPR 1.74 0.36 2.11

TSP 3.12 0.66 3.78

SED (df = 10) 0.089 0.063 0.073

Nutr Cycl Agroecosyst (2009) 84:167–178 175

123

Page 185: Agricultural Applications for Pine-Based BioChar

Soil acidity was clearly a major constraint on P

dissolution from ABC. This is shown by (i) the

significant correlations of PD145 with soil pH

(Table 7), (ii) the increases in soil pH when P

dissolution occurred from ABC (Table 6), (iii) the

significant correlation of dissolution rate parameter a

with exchangeable acidity and Al, and (iv) the

consumption of exchangeable acidity in Whiteknights

soil (Table 8).

Dissolution of calcium phosphates such as ABC

releases Ca and H2PO4- into soil solution (Eq. 8),

and therefore the reaction will not proceed if soluble

Ca and H2PO4- concentrations rise too far. A sink for

P dissolved was also an important soil property that

influenced P dissolution from ABC. This was shown

by significant correlations of PD34 and PD145 with

the two P sorption indices and the ‘‘extensive’’

parameter a of the P sorption isotherms (Table 7).

The latter relates to the P sorption capacity of the soil

(Holford 1982), whereas the parameter b is an affinity

parameter (Holford 1982) for P sorption, and was not

correlated with the extent of ABC dissolution, again

suggesting that the capacity of the soil to sorb

released P is an important influence. Dissolution of

PR has been shown to be positively affected by the

size of Ca sink (Robinson et al. 1992), but there

was no significant correlation of PD145 with CEC

or exchangeable Ca, either alone or in multiple

regressions. This suggests that the sink for Ca was not

an important factor in assisting P dissolution from

ABC.

After addition of 500 mg kg-1 soluble P as TSP,

the P remaining extractable as Olsen-P was lower in

soils with higher P sorption as expected (Fig. 1). This

shows that soluble P released by dissolution from

ABC is sorbed in the soil, reducing its plant

availability, but providing a bigger sink and therefore

encouraging P dissolution. The complementary

nature of the P sink with acidity is illustrated by the

very close multiple correlation of the two with PD145

(Eqs. 5, 6).

The two multiple correlations of PD145 with pH

and P sorption (Eqs. 5, 6) suggest that relationships

could be obtained to predict the likely extent of ABC

dissolution in a soil from its known properties.

Equation 5 gave the closer correlation, but Eq. 6 uses

variants of the measurements that are more com-

monly in routine use for other purposes, and so are

better suited for predictive use.

Comparison of P dissolution from ABC and GPR

In general, initial soil pH is a good predictor of PR

dissolution (Rajan et al. 1996), and we found the

same applied to dissolution of ABC. An approximate

cut-off pH value could be identified above which P

dissolution was insignificant, for GPR ([5.03) and

ABC ([6.14). For both ABC and GPR, the closest

correlations with soil properties were with pH, while

the correlation of GPR dissolution was less close with

P sorption (Table 7). For the eight soils with signif-

icant ABC dissolution, the relationship between soil

pH and PD145 approximated to linear below pH 7

(Fig. 2), and other linear relationships between soil

pH and PR dissolution have been found, e.g., in acid

New Zealand soil (Bolan and Hedley 1990). Corre-

lation of P dissolution parameters for North Carolina

PR in 16 Colombian acid soils showed significant

effects of P sorption, pH and exchangeable Al (Chien

et al. 1980b). The same effects were found in this

work with GPR, but Chien et al. (1980b) found

additional correlations with clay and organic matter,

which were not found in our group of soils. However,

we can conclude that the generally established

controlling principles for P dissolution from PR also

apply to ABC.

Agronomic effectiveness of ABC

Recent data on the availability of P to plants from

modern recycling products are rare (Romer 2006).

Studies show that products such as MBM (meat and

bone meal), steamed bone meal and bone chips give P

responses to pot and field grown crops (Romer 2006;

Jeng et al. 2006; Klock and Taber 1996). ABC is

manufactured using much higher temperatures (ca.

400�C) than the previously mentioned materials and

contains less organic matter. It was therefore

expected to have different surface properties and

different dynamics of dissolution and availability

when compared with PR and the above-mentioned

materials.

Olsen-P is a widely accepted laboratory index of

the plant-available P in soil, and it is useful in both

acid and calcareous soils (Kuo 1996), a particular

advantage in the present work where a wide soil pH

range was intended. At the end of the incubation

period, the soils where significant P dissolution from

ABC occurred (Table 6) were the same ones that

176 Nutr Cycl Agroecosyst (2009) 84:167–178

123

Page 186: Agricultural Applications for Pine-Based BioChar

gave significant increases in Olsen-P (Table 4),

showing that P dissolution is a guide to the P

availability to plants and that ABC will be an

effective P fertilizer in many soils.

When P dissolution occurred, the majority took

place in the first 20 days. Because the mobility of P in

soil is low, the early availability of P is essential for

proper crop development (Hedley et al. 1995). ABC

showed a clear benefit to Olsen-P over GPR for most

soils (Tables 4, 5). In two soils, Florasca and Hula,

ABC improved Olsen-P at Day 1 although not at Day

145, and these soils were high pH soils where GPR

was completely insoluble. Thus, for most soils, ABC

provides a limited but immediately available P pool

in soil, combined with further P release thereafter, a

pattern of release that appears well timed to suit crop

requirements. This pattern is different to the one for

TSP, where Olsen-P starts at a much higher concen-

tration than with ABC and then declines because of

the reaction of dissolved phosphate with soil

(Table 4). However, it should be noted that for

slowly-soluble fertilizers, Olsen-P gives a measure of

the availability of immediate reaction products only

and underestimates plant-available P (Menon and

Chien 1995; Saggar et al. 1992). Thus in comparison

with TSP, plant-available P from ABC may be better

than our data suggest. It is clear that ABC is a

fertilizer with P supply characteristics intermediate

between traditional slow-release (PR) and fully

soluble (TSP) fertilizers. The results call for pot and

field trials to test this conclusion.

Conclusions

The soil properties that influenced P dissolution from

ABC were the same as those that control P dissolu-

tion from PR, as originally hypothesised. In

particular, the most important soil properties were

those related to soil acidity, and the more exchange-

able acidity and lower the pH, the greater the

dissolution of ABC. The size of the sink for

Dissolved-P was the other significant control on

ABC dissolution, and the two could be combined in

multiple regression Eqs. 5 and 6 that use readily

measured soil properties to predict the potential for

ABC dissolution in a soil. This conclusion is based on

a correlation study with a wide range of soils, and

calls for detailed mechanistic studies on the

mineralogical and surface properties of ABC and P

dissolution from it.

The above conclusion implies that the knowledge

of the soils and circumstances when PR is useful as a

fertilizer applies also to ABC. However, in a direct

comparison with GPR, which is well-characterised

and widely accepted as a relatively soluble PR, ABC

was much better in providing available P, as assessed

by the Olsen method. It could even supply some

available P immediately after application to soils of

high pH, in which GPR was ineffective. Therefore,

ABC is predicted to have a wider range of application

than PR, so that the soils for which it is suitable and

rates of ABC addition need to be assessed under field

conditions. Because of its apparent potential as a P

fertilizer, field trials are now in progress.

Acknowledgements This work was financially supported by

the European Union, Framework VI (Contract no. FOOD-CT-

2005-514082). We thank the anonymous reviewers for their

helpful comments.

References

Anderson JM, Ingram JSI (1993) Tropical soil biology and

fertility. A handbook of methods. CABI, Wallingford

Bache BE, Williams EG (1971) A phosphate sorption index for

soils. J Soil Sci 22:289–301. doi:10.1111/j.1365-2389.

1971.tb01617.x

Barrow NJ (1979) The description of desorption of phosphate

from soil. J Soil Sci 30:259–270. doi:10.1111/j.1365-2389.

1979.tb00983.x

Bekele T, Hofner W (1993) Effects of different phosphate

fertilizers on yield of barley and rape seed on reddish

brown soils of the Ethiopian highlands. Fert Res 34:243–

250. doi:10.1007/BF00750570

Bolan NS, Hedley MJ (1990) Dissolution of phosphate rocks in

soils II. Effect of pH on the dissolution and plant avail-

ability of phosphate rock in soil with pH dependent

charge. Fert Res 24:125–134. doi:10.1007/BF01073580

Chien SH, Clayton WR, McClellan GH (1980a) Kinetics of

dissolution of phosphate rocks in soils. Soil Sci Soc Am J

44:260–264

Chien SH, Leon LA, Tejeda HR (1980b) Dissolution of North

Carolina phosphate rick in acid Colombian soils as related

to soil properties. Soil Sci Soc Am J 44:1267–1271

Doyle JJ (1979) Toxic and essential elements in bone—a

review. J Anim Sci 49:482–497

EU (2002) Animal by-products regulations (EC) No 1774/

2002. Official Journal of the European Communities

10.10.2002. L 273/1-95

Hammond LL, Chien SH, Mokwunye AU (1986) Agronomic

value of unacidulated and partially acidulated phosphate

rocks indigenous to the tropics. Adv Agron 40:89–140.

doi:10.1016/S0065-2113(08)60281-3

Nutr Cycl Agroecosyst (2009) 84:167–178 177

123

Page 187: Agricultural Applications for Pine-Based BioChar

Hedley MJ, Mordtvedt JJ, Bolan NS, Syers JK (1995) Phos-

phorus fertility management in agroecosystems. In:

Tiessen H (ed) Phosphorus in the global environment.

Transfers cycles and management. Wiley, Chichester, pp

59–92

Holford ICR (1982) The comparative significance and utility of

the Freundlich and Langmuir parameters for characteriz-

ing sorption and plant availability of phosphate in soils.

Aust J Soil Res 20:233–242. doi:10.1071/SR9820233

Jeng AS, Haraldsen TK, Grønlund A, Pedersen PA (2006)

Meat and bone meal as nitrogen and phosphorus fertilizer

to cereals and rye grass. Nutr Cycl Agron 76:183–191.

doi:10.1007/s10705-005-5170-y

Khasawneh FC, Doll EC (1978) The use of phosphate rock for

direct application to soils. Adv Agron 30:159–206. doi:

10.1016/S0065-2113(08)60706-3

Klock KA, Taber HG (1996) Comparison of bone products for

phosphorus availability. Hortic Tech 6:257–260

Kuo S (1996) Phosphorus. In: Sparks DL (ed) Methods of soil

analysis Part 3 chemical methods. Soil Science Society of

America and American Society of Agronomy, Madison,

pp 869–919

Lawes Agricultural Trust (2006) Genstat release 9 reference

manual. VSN International Hemel Hempstead, UK

LeGeros RZ (1994) Biological and synthetic apatites. In:

Brown PW, Brent Constanz (eds) Hydroxyapatite and

related materials. CRC Press, Boca Raton, pp 3–28

Mackay AD, Syers JK (1986) Effect of phosphate, calcium and

pH on the dissolution of a phosphate rock in soil. Fert Res

10:175–184

Mackay AD, Brown MW, Currie LD, Hedley MJ, Tillman RW,

White RE (1990) Effect of shaking procedures on the

neutral ammonium citrate soluble phosphate fraction in

fertiliser materials. J Sci Food Agric 50:443–457. doi:

10.1002/jsfa.2740500403

Menon RG, Chien SH (1995) Soil testing for available phos-

phorus in soils where phosphate rock-based fertilizers are

used. Fert Res 41:179–187. doi:10.1007/BF00748307

Rajan SS, Watkinson JH, Sinclair AG (1996) Phosphate rocks

for direct application to soils. Adv Agron 57:78–146

Ramos MG (1982) Efficiency of eight phosphates for wheat

and soybean on an argillaceous Dark Red Latosol. Rev

Bras Cienc Do Solo 6:38–42

Robinson JS, Syers JK, Bolan NS (1992) Importance of proton

supply and Ca-sink size in the dissolution of phosphate

rock materials of different reactivity. J Soil Sci 43:447–

459. doi:10.1111/j.1365-2389.1992.tb00151.x

Romer W (2006) Plant availability of P from recycling prod-

ucts and phosphate fertilizers in a growth-chamber trial

with rye seedlings. J Plant Nutr Soil Sci 169:826–832. doi:

10.1002/jpln.200520587

Rowell DL (1994) Soil science: methods and applications.

Longman, Harlow

Royal Horticultural Society (2002) www.rhs.org.uk/NR/rdon

lyres/C46FFCC8-FAE1-4DD8-A9BA-4D00137F8892/0/c_

and_e_manures.pdf. Accessed 28 February 2008

Saggar S, Hedley MJ, White RE, Gregg PEH, Perrott KW,

Cornforth IS (1992) Development and evaluation of an

improved soil test for phosphorus: 2 Comparison of the

Olsen and mixed cation–anion exchange resin tests for

predicting the yield of ryegrass grown in pots. Fert Res

33:135–144. doi:10.1007/BF01051168

Smith AM (1959) Manures and fertilisers. Nelson, London

Sparks DL (1989) Kinetics of soil chemical processes.

Academic Press, London

Sumner ME, Miller WP (1996) Cation exchange capacity and

exchange coefficients. In: Sparks DL (ed) Methods of soil

analysis Part 3 chemical methods. Soil Science Society of

America and American Society of Agronomy, Madison,

pp 1201–1229

Van Kauwenbergh SJ (1997) Cadmium and other minor ele-

ments in world resources of phosphate rock. In:

Proceedings No. 400 International Fertiliser Society,

York, UK pp 1–40

178 Nutr Cycl Agroecosyst (2009) 84:167–178

123

Page 188: Agricultural Applications for Pine-Based BioChar

Oil Mallee charcoal properties

0 20 40 60 80 100

s.area m2/g

fixed C%dry

fixed C%wet

ash%dry

volatiles%dry

CEC meq/100g

%

pH(CaCl2) 8.4 EC 25 uS/m N 1.2% P 0.12% K 0.7% Ca 2.8% Zn 38 ppm

Page 189: Agricultural Applications for Pine-Based BioChar

deep banding charcoal at Pindar April 2005; Ausplow Deep Blade System.thanks to John Ryan

Page 190: Agricultural Applications for Pine-Based BioChar

visible effect at 6 t/ha rate

6 t/ha in 100 mm wide band

1 t/ha at broad-acre ratefor row spacing of 600 mm

DEEP BANDED MALLEE CHARCOAL

Page 191: Agricultural Applications for Pine-Based BioChar

TRIAL SITES

PINDAR; sandy clay loam 40ppm av. P

KALANNIE; yellow sand 44ppm av. P

Page 192: Agricultural Applications for Pine-Based BioChar

0

500

1000

1500

2000

2500

0 1 2 3 4 5 6 7rate of deep banded charcoal, t/ha

grai

n yi

eld,

kg/

haPindar Kalannie 2 Kalannie 1

55 kg/ha soluble fertiliser - May sown

110 kg/ha soluble fertiliser - June sown

poor yield increase with recommended rates of soluble fertiliser

Page 193: Agricultural Applications for Pine-Based BioChar

0

500

1000

1500

2000

2500

0 1 2 3 4 5 6 7rate of deep banded charcoal, t/ha

grai

n yi

eld,

kg/

hahalf rate full rate

+340 kg/ha

Pindar

18% yield increase with half rates of soluble fertiliser at 6 t/ha char

Page 194: Agricultural Applications for Pine-Based BioChar

0

500

1000

1500

2000

2500

0 1 2 3 4 5 6 7rate of deep banded charcoal, t/ha

grai

n yi

eld,

kg/

hamineral plus microbes

+640 kg/ha

46% yield increase with at least 1.5 t/ha char added to the mineral fertiliser

Page 195: Agricultural Applications for Pine-Based BioChar

Trial site# yield

benefit banded charcoal

broad acre equivalent

value ($/ha) for wheat at

carbon value

and fertiliser kg/ha t/ha

kg/ha charcoal

kg/ha carbon $150/t $250/t $/kg C#

1. 100 kg/ha mineral+1 640 1.5 250 56 96 160 2.84 1. 30 kg/ha soluble2 344 6.0 1000 225 52 86 0.38 2. 110 kg/ha soluble3 76 6.0 1000 225 11 19 0.08 3. 110 kg/ha soluble* 83 3.0 620* 140 12 21 0.15 # wheat at $250/t

values of yield increases

~$3/kg = $3000/t of carbon!

Page 196: Agricultural Applications for Pine-Based BioChar

1.0

1.2

1.4

1.6

1.8

2.0

2.2

2.4

2.6

10 15 20 25 30 35 40

grains per head

grai

n yi

eld,

t/ha

Mineral+ half rate of soluble full rate of soluble

Pindar

grains/ head explained 42% of yield variation = drought stress effect(the crop needed an ‘irrigation’ to survive 2005)

Page 197: Agricultural Applications for Pine-Based BioChar

0

5

10

15

20

25

30

35

40

45

50

0 1 2 3 4 5 6 7

deep banded charcoal, t/ha

root

col

onis

atio

n; fl

ower

ing,

%55 kg/ha Sol. 30 kg/ha Sol. Min+

char increased AMF colonisation (especially the inoculated microbes)

Pindarat flowering

Page 198: Agricultural Applications for Pine-Based BioChar

AMF colonisation associated with grains/head- may have helped reduce drought stress – fungal hyphae extend root system

Pindarat flowering

10

15

20

25

30

35

0 5 10 15 20 25 30 35 40 45 50root colonisation September %

Gra

ins

per h

ead

HS LS M+

0

0

0

33

3

6

6

6

Page 199: Agricultural Applications for Pine-Based BioChar

0

5

10

15

20

25

30

0 1 2 3 4 5 6 7banded charcoal, t/ha

biom

ass

at ti

llerin

g, g

/m2

S55 S30 M+ S110

char increased early growth for lower soluble P conditionsBut decreased early growth for higher soluble P conditions

SYMBIOTIC ?

PARASITIC ?

Page 200: Agricultural Applications for Pine-Based BioChar

Interpretations• Valuable yield increases from char addiction

– broadacre agriculture, low native AMF• Very efficient Carbon sequestration with low

rates of low C char– Few soil effects, long term benefits?

• Char seems to have increased drought tolerance by encouraging symbiotic fungi.

• Higher levels of soluble P may suppress symbiosis – more value in low fertility situations.

Page 201: Agricultural Applications for Pine-Based BioChar

Paul Blackwell1, Syd Shea2, Paul Storer3, Zakaria Solaiman4, Mike Kerkmans5, and Ian Stanley6

11Department of Agriculture and Food, Geraldton WADepartment of Agriculture and Food, Geraldton WA22 Oil Mallee Company of AustraliaOil Mallee Company of Australia33Western Mineral FertilisersWestern Mineral Fertilisers44University of Western AustraliaUniversity of Western Australia55Oil Mallee Association of WAOil Mallee Association of WA66 "Bungadale", Kalannie , WA"Bungadale", Kalannie , WA

Improving wheat production with deep banded Oil Mallee Charcoal in Western

Australia

Page 202: Agricultural Applications for Pine-Based BioChar

location• Mostly winter rain from May to October

• Many sandy soils with organic matter

<1%

•Usually grows > 50% of Australia’s

wheat

WESTERN AUSTRALIA

PERTH

GERALDTON

WHEAT BELT

PindarKalannie

Page 203: Agricultural Applications for Pine-Based BioChar

BLOCK plantingMALLEE in WA

ALLEY planting

Makoto Ogawa Syd Shea

potential

~10 Mt/yr biomass

20 years R&D into charcoal and soil fungi in

Japan and Indonesia

helped develop Oil Mallee

concept with John Bartle of

CALM

Director of Oil Mallee company

Page 204: Agricultural Applications for Pine-Based BioChar

from Ogawa, M. 1994.Symbiosis of People and Nature in the Tropics. Farming Japan Vol.. 28 – 5, p10 21.

CHARCOAL improves the MICRO-HABIAT of beneficial so il microbes

Page 205: Agricultural Applications for Pine-Based BioChar

Some new fertiliser suppliers are using

beneficial soil microbes and mineral fertilisers. Is charcoal a better

source of microporosity than

zeolite?

Page 206: Agricultural Applications for Pine-Based BioChar

Research questions

• Will charcoal improve crop yields from poor soil in a dry Mediterranean environment?– (50% increase in Sumatra; Yamato et al.,

220% increase in Brazil; Lehmann & Rondon)

• How much soluble fertiliser• Will mineral fertiliser and inoculated soil

microbes enable more yield with charcoal?

Page 207: Agricultural Applications for Pine-Based BioChar

Soil biological nutrition model with charcoal

charcoal particle

mineral particle

Symbiotic fungi (AM)

plantroot

Page 208: Agricultural Applications for Pine-Based BioChar

HARVESTING

OIL DISTILLATION

processing Mallee for eucalyptus oil

THE OIL MALLEE INDUSTRY

Page 209: Agricultural Applications for Pine-Based BioChar

Pyrolysis with an open pan ‘Moki’ method

at Kalannie by Shea, Stanley and Okimori

March 2005; air temp. = 40 oC+!

Yasuyuki Okimori

Page 210: Agricultural Applications for Pine-Based BioChar

wood charcoal (Jarrah) mallee charcoal (‘05 trials)

Mallee biomass after oil extraction

Page 211: Agricultural Applications for Pine-Based BioChar

Oil Mallee charcoal properties

0 20 40 60 80 100

s.area m2/g

fixed C%dry

fixed C%wet

ash%dry

volatiles%dry

CEC meq/100g

%

pH(CaCl 2) 8.4 EC 25 uS/m N 1.2% P 0.12% K 0.7% Ca 2.8 % Zn 38 ppm

Page 212: Agricultural Applications for Pine-Based BioChar

deep banding charcoal at Pindar April 2005; Ausplow Deep Blade System.

thanks to John Ryan

Page 213: Agricultural Applications for Pine-Based BioChar

visible effect at 6 t/ha rate

6 t/ha in 100 mm wide band

1 t/ha at broad-acre ratefor row spacing of 600 mm

DEEP BANDED MALLEE CHARCOAL

Page 214: Agricultural Applications for Pine-Based BioChar

TRIAL SITES

PINDAR; sandy clay loam 40ppm av. P

KALANNIE; yellow sand 44ppm av. P

Page 215: Agricultural Applications for Pine-Based BioChar

0

500

1000

1500

2000

2500

0 1 2 3 4 5 6 7

rate of deep banded charcoal, t/ha

grai

n yi

eld,

kg/

haPindar Kalannie 2 Kalannie 1

55 kg/ha soluble fertiliser - May sown

110 kg/ha soluble fertiliser - June sown

poor yield increase with recommended rates of solub le fertiliser

Page 216: Agricultural Applications for Pine-Based BioChar

0

500

1000

1500

2000

2500

0 1 2 3 4 5 6 7

rate of deep banded charcoal, t/ha

grai

n yi

eld,

kg/

hahalf rate full rate

+340 kg/ha

Pindar

18% yield increase with half rates of soluble ferti liser at 6 t/ha char

Page 217: Agricultural Applications for Pine-Based BioChar

0

500

1000

1500

2000

2500

0 1 2 3 4 5 6 7

rate of deep banded charcoal, t/ha

grai

n yi

eld,

kg/

hamineral plus microbes

+640 kg/ha

46% yield increase with at least 1.5 t/ha char adde d to the mineral fertiliser

Page 218: Agricultural Applications for Pine-Based BioChar

Trial site# yield

benefit banded charcoal

broad acre equivalent

value ($/ha) for wheat at

carbon value

and fertiliser kg/ha t/ha

kg/ha charcoal

kg/ha carbon $150/t $250/t $/kg C#

1. 100 kg/ha mineral+ 1 640 1.5 250 56 96 160 2.84 1. 30 kg/ha soluble 2 344 6.0 1000 225 52 86 0.38 2. 110 kg/ha soluble 3 76 6.0 1000 225 11 19 0.08 3. 110 kg/ha soluble * 83 3.0 620* 140 12 21 0.15

# wheat at $250/t

values of yield increases

~$3/kg = $3000/t of carbon!

Page 219: Agricultural Applications for Pine-Based BioChar

1.0

1.2

1.4

1.6

1.8

2.0

2.2

2.4

2.6

10 15 20 25 30 35 40

grains per head

grai

n yi

eld,

t/ha

Mineral+ half rate of soluble full rate of soluble

Pindar

grains/ head explained 42% of yield variation = dro ught stress effect

(the crop needed an ‘irrigation’ to survive 2005)

Page 220: Agricultural Applications for Pine-Based BioChar

0

5

10

15

20

25

30

35

40

45

50

0 1 2 3 4 5 6 7

deep banded charcoal, t/ha

root

col

onis

atio

n; fl

ower

ing,

%55 kg/ha Sol. 30 kg/ha Sol. Min+

char increased AMF colonisation (especially the ino culated microbes)

Pindar

at flowering

Page 221: Agricultural Applications for Pine-Based BioChar

AMF colonisation associated with grains/head

- may have helped reduce drought stress – fungal hyph ae extend root system

Pindar

at flowering

10

15

20

25

30

35

0 5 10 15 20 25 30 35 40 45 50

root colonisation September %

Gra

ins

per

head

HS LS M+

0

0

0

33

3

6

6

6

Page 222: Agricultural Applications for Pine-Based BioChar

0

5

10

15

20

25

30

0 1 2 3 4 5 6 7

banded charcoal, t/ha

biom

ass

at ti

llerin

g, g

/m2

S55 S30 M+ S110

char increased early growth for lower soluble P con ditions

But decreased early growth for higher soluble P con ditions

SYMBIOTIC ?

PARASITIC ?

Page 223: Agricultural Applications for Pine-Based BioChar

Interpretations

• Valuable yield increases from char addiction– broadacre agriculture, low native AMF

• Very efficient Carbon sequestration with low rates of low C char– Few soil effects, long term benefits?

• Char seems to have increased drought tolerance by encouraging symbiotic fungi.

• Higher levels of soluble P may suppress symbiosis – more value in low fertility situations.

Page 224: Agricultural Applications for Pine-Based BioChar

Questions

• Can these results be repeated?– pot trials UWA, small plot trials. NLP submission

• How low is the char requirement of the mineral fertiliser?– 2007 small plot trials

• How long can the char effect last?– resowing Pindar and Kalannie trials– NLP submission– ARWA support a research potential seminar in June– KEY information for potential Char economics

Page 225: Agricultural Applications for Pine-Based BioChar

INTEGRATED WOOD PROCESSING (IWP) plant at NARROGIN

5MW plant = $6.2M over 20 years; est. Bell and Ben nett (2002)

Page 226: Agricultural Applications for Pine-Based BioChar

Ogawa and Okimori (2004)

Page 227: Agricultural Applications for Pine-Based BioChar

Ogawa and Okimori (2004)

Page 228: Agricultural Applications for Pine-Based BioChar

A BENEFICIAL SYSTEM?

THANKYOUSylvain Pottier

Yasuyuki Okimori and Makoto Ogawa of Kansai Environmental Engineering Centre,

Kansai Electric Co. Ltd and General Environmental Technos Co., Ltd. and the Oil Mallee Company for financial support

Ausplow Ltd for the use of their plot airseeder. Andrew Donken

Victor Dodd and Doug Cail

Dave Gartner, Ben Parkin and Chris Gazey

United Farmers Cooperative and Hans Schoof for soil testing and interpretation.

Stephen Davies, Bill Bowden, John Bartle, and Tony Vyn for field advice and

assistance.

Page 229: Agricultural Applications for Pine-Based BioChar

Introduction

Composts produced from plant and animal residuals have beenused by farmers worldwide for many hundreds of years toincrease crop productivity and improve soil quality but they arenot typically used as a component of Australian agriculturalproduction systems. However, Australian farmers areincreasingly seeking alternatives to conventional inputs toprovide plant nutrients and improve soil health as indicated bythe increasing interest in the use of organic fertilisers instead ofinorganic fertilisers.

Across Australia, government legislation (Resource NSW2001; Victorian Consolidation Legislation 2005) and strategies(Resource NSW 2003; Zero Waste SA 2005) focus on divertingmaterials from landfills and the beneficial re-use of thesematerials. For example, in New South Wales (NSW), Australia,over 600000 tonnes of garden organics, such as grass clippings,prunings and other vegetation, are collected from householdsand municipal areas each year and composted to produce~0.3 m t/year of composted garden organics (CGO) (DEC

2004). After composting, the product is usually screened intocoarse and fine fractions, to produce mulches and soilconditioners, respectively.

Most (87%) of the recycled organics generated in the Sydneymetropolitan area are consumed in the urban amenity marketsegments including landscaping, and domestic gardenapplications (DEC 2004). However, the urban amenity market isapproaching saturation (WMAA 2005), whereas only ~4% ofthe CGO are currently used in agriculture (DEC 2004). Giventhe large area of arable agricultural land in NSW(>100000 km2; ABS 2001) the size of the agricultural market isvirtually unlimited.

As a prerequisite for developing agricultural markets forcomposts, there is a need to understand the characteristics ofCGO and demonstrate their agronomic value to farmers.However, little information is available on the quality andagronomic performance of the CGO currently being producedin NSW.

Australian Journal of Experimental Agriculture, 2007, 47, 1377–1382

0816-1089/07/11137710.1071/EA06128© CSIRO 2007

K. Y. ChanA,B,E, C. DorahyA,C and S. Tyler A,D

ACentre for Recycled Organics in Agriculture.BNSW Department of Primary Industries, Locked Bag 4, Richmond, NSW 2753, Australia.CNSW Department of Primary Industries, PMB 8, Camden, NSW 2570, Australia.D432 Zara Road, Chillingham, NSW 2484, Australia.ECorresponding author. Email: [email protected]

Abstract. About 0.3 million t/year of composted garden organics (CGO) including mulches and soil conditioners areproduced annually in New South Wales, Australia, although only a small proportion of this material (<4%) is used inagriculture. A lack of information on product characteristics and agronomic performance has limited the development ofagricultural markets for CGO products. These CGO products are the coarse and fine fractions separated by screening aftercomposting. This paper presents the results of a survey of CGO mulches and soil conditioners (unblended or blended witha mixture of other organic materials including biosolids, animal manures and paper), which are commercially produced inthe metropolitan areas of New South Wales and assesses their agronomic and soil amendment values in terms of chemicaland biological properties. It also evaluates the short-term effects of applying increasing rates (0, 25, 50 and 100 t/ha) ofselected composted soil conditioners on radish growth in a pot experiment.

The mulch products had low nutrient concentrations but had high carbon (C) contents (mean C = 45%) and C/Nitrogen(N) ratios (mean C/N = 72) and are most suitable for use as surface mulch. The unblended soil conditioners were low innutrients, particularly N (average total N = 1.0%, range 0.9–12%), and had lower and variable C contents. The pot trialresults indicated lack of growth response of radish at application rates up to 100 t/ha of unblended soil conditioners fromgarden organics. The blended soil conditioners were more variable in quality and as confirmed by pot trial results producedhighly variable plant responses. The high variability in product quality and performance of the soil conditioners,particularly the blended products might be related to the source and type of blending material as well as the compostingconditions used in the manufacturing process.

These results highlight the need to improve compost quality and consistency and the need for further research toadvance understanding of the benefits using CGO in terms of improving soil quality, crop productivity and net economicreturns to growers.

Determining the agronomic value of composts producedfrom garden organics from metropolitan areas ofNew South Wales, Australia

www.publish.csiro.au/journals/ajea

CSIRO PUBLISHING

Page 230: Agricultural Applications for Pine-Based BioChar

K. Y. Chan et al.1378 Australian Journal of Experimental Agriculture

The objectives of this paper are: (i) to present the results of asurvey of CGO being commercially produced in themetropolitan areas, particularly in the Sydney region; (ii) toassess their agronomic and soil amendment values in terms ofphysical, chemical and biological properties; and (iii) toevaluate the short-term performance of selected soilconditioners in a pot experiment.

Materials and methodsSurvey of CGOA survey of 13 composting facilities in the Sydney region andother major metropolitan areas of NSW was conducted in 2004.All the facilities surveyed employed open-windrow systems, thedominant form of composting in most parts of Australia(Wilkinson et al. 2002). At each facility, finished compostproducts that were ready for market were collected. Compositesamples (10–20 kg) of composted soil conditioners and mulcheswere obtained by shovelling 1–2 kg of compost from 10 randompositions in the standing pile into plastic bags. The compositesamples were thoroughly mixed and stored at 4°C before analysis.

In total, nine CGO mulches, 10 CGO soil conditioners and12 blended CGO soil conditioners were collected and studied inthis research. Soil conditioners refer to the fine compostfraction (<8–10 mm) produced from garden organics as the onlyfeedstock. Blended CGO soil conditioners are fine compostfraction produced from either co-composting a mixture ofgarden organics and other organic residuals, such as biosolids,poultry litter and cattle feedlot manure or mixing CGO soilconditioners with other organic residuals.

CGO characterisationThe samples of mulches and soil conditioners were analysed fora range of chemical, physical and biological properties.Immediately after sampling, moist samples were analysed forpH, electrical conductivity, ammonium, nitrate and solublephosphorus (P) concentration following the proceduresdescribed in Standards Australia (2003). The CGO soilconditioners were also tested for phytotoxicity and microbialactivity. The phytotoxicity bioassay involved germinating radishseeds on a sample of soil conditioner and assessing early rootgrowth against a minimum length requirement of 60 mm(Standards Australia 2003). Microbial activity was measuredusing the Food and Drug Administration (FDA) enzymatic test(Schnurer and Rosswall 1982).

Subsamples of mulches and soil conditioners were dried andground (<2 mm) and analysed for total carbon (C), organicnitrogen (N), total sulfur (S), total P, pH, electrical conductivity(EC), total copper (Cu), total zinc (Zn) and total iron (Fe). pHand EC were determined on 1:5 sample/water extract followingRayment and Higginson (1992). Total C, N and S weredetermined using Leco combustion (Rayment and Higginson1992). Total P, total Cu, total Zn, total boron and total Fe weredetermined using an inductively coupled plasma massspectrometer after acid digestion (USEPA 1996).

Pot experimentFour soil conditioners and six blended soil conditioners wereused in the pot experiment (Table 1). The blended soilconditioners contained biosolids, poultry litter, cattle feedlot

manure and paper pulp and represented the range of materialscommonly used in compost manufacturing in NSW. All thecompost samples were brought to ~40% moisture content andleft at room temperature for 4 days before application.

The soil used for the pot trial was collected from 0–10 cm ofa grey Dermosol (Isbell 1996) located at the Centre for RecycledOrganic in Agriculture, near Camden (70 m Australia HeightDatum at 34.07536°S, 150.6956°E), NSW. The site had a longhistory of cropping and cultivation but was under lucerne pastureat the time of sampling. The soil properties were: pHCa (4.5);organic C (12.9 g/kg); extractable P (21 mg/kg); water contentfield capacity (–10 kPa) (0.28 kg/kg); clay content (260 g/kg).

Treatments and experimental designTreatments involved 10 soil conditioners and four rates of soilconditioner application, namely 0, 25, 50 and 100 t/ha on anoven dry basis. The experiment followed a randomised completeblock design with four replications. Pots (115-mm internaldiameter and 100-mm tall) with individual trays were used. Thequantity of oven dry soil conditioners equated to 0, 25, 50 and100 g/pot for the four application rates, respectively. 900 g ofoven dry equivalent of the screened soil was packed into eachpot. The appropriate amount of soil conditioner was then addedto the respective pot and thoroughly mixed. The individual potswere then watered to field capacity (28% by weight) and left for24 h in the glasshouse before sowing.

Ten radish seeds (Raphanus sativus L. cv. Long Scarlet) weresown in each pot and these were thinned to five after plantemergence. The pots were placed on four benches, each ofwhich represented an experimental block. All of the pots wererandomised within each block. During the experiment, all thepots were maintained at approximately field capacity andwatered by hand on a regular basis.

After 26 days, the radish plants were harvested and the freshweight of both the tops and roots recorded. The harvested plantswere dried at 60°C to constant weight and re-weighed todetermine dry weight.

Statistical analysesThe different properties of the compost products were comparedusing 1-way ANOVA in GENSTAT (VSN International Ltd 2003).For the pot trial, results of both fresh weight and dry weight of

Table 1. Descriptions of the blended and unblended soil conditionersderived from composted garden organics (CGO) used in the pot

experiment

Sample no. Type of conditioner Description

2 Soil conditioner CGO 3 Soil conditioner CGO6 Soil conditioner CGO 28 Soil conditioner CGO 1 Blended soil conditioner CGO/biosolids 5 Blended soil conditioner CGO compost/poultry

litter/cow manure11 Blended soil conditioner CGO/biosolids 14 Blended soil conditioner CGO/paper compost 16 Blended soil conditioner CGO/poultry litter17 Blended soil conditioner CGO/poultry litter

Page 231: Agricultural Applications for Pine-Based BioChar

Australian Journal of Experimental Agriculture 1379

the radish using different soil conditioners and rate ofapplication were analysed using 2-way ANOVA. Differencesbetween treatments were statistically significant at 5%probability unless otherwise stated. Product variability wasassessed by examining the ranges as well as coefficients ofvariation (CV) of the different chemical parameters of thedifferent categories of composting products. Linear regressionanalysis was also undertaken in GENSTAT to determine;(i) whether radish dry weight was correlated with any of thecompost chemical parameters measured; and (ii) correlation, ifany, between results of FDA test and phytotoxicity bioassay.

ResultsProduct qualityApart from size grading, the mulches had very differentproperties compared with the soil conditioners (Table 2). Themulches had lower total N, total P, total Ca and total magnesiumconcentrations but higher C and C/N than the soil conditioners.Mean C content of the mulches was 44.6%, which is nearlytwice that of the soil conditioners. Mean C/N of the mulcheswas 71.7 compared with 25.5 of the soil conditioners.

Comparing the two categories of soil conditioners revealedthe blended soil conditioners had higher average EC, mineral Nand total S (Table 2) than the unblended soil conditioners. Theywere also higher in heavy metals, as indicated by the Zn and Cuconcentrations in Table 2. Mean FDA values as well as CV weresimilar between the two groups of soil conditioners (Table 3).Similarly, mean root length, as a measure of phytotoxicity, wasnot significantly different between the unblended CGO soilconditioners and the blended products.

Product variabilityWhile the C content of the mulches was fairly uniform (range41–47%, CV = 4.5%), nutrient concentrations (total N and totalP) were more variable (CV >20%) (Table 2). Total Nconcentration in the mulches varied more than 2-fold (range0.5–1.0%), resulting in a similar magnitude of variation in theC/N ratio (range 41–104). Higher variability was found in thesoluble/available nutrients, namely, soluble P and mineral N(CV >50%).

Compared with the mulches, soil conditioners were morevariable in C content (15–32%, CV = 25.8%). While the Ccontent of the blended soil conditioners was similar to those ofthe unblended soil conditioners, they were highly variable withrespect to most of the chemical parameters measured (Table 2).For example, mineral N concentration ranged from 1.3 to530 mg/kg (Table 2). The results from the phytotoxicitybioassays (Table 3) showed that despite similar mean values, theblended soil conditioners were more variable than the unblendedsoil conditioners (CV 65.8 v. 13.7%; Table 3). In fact, 42% ofthe blended products had root length <60 mm, the critical valuebelow which the medium is classified as phytotoxic (StandardsAustralia 2003). In contrast, similar CV was found for the FDAresults of the two categories of soil conditioners.

Pot experimentFor the soil conditioners, no significant changes in fresh weightof radish harvested 26 days after sowing with increasingapplication rates up to 100 t/ha were observed (Fig. 1). Incontrast, radish fresh weight increased in response to increasingapplication rate in five out of the six blended soil conditioners

Agronomic value of composted garden organics

Table 2. Mean, range (in parentheses) and coefficient of variation (CV%) of basic chemical properties total elemental composition ofmulches, soil conditioners (SC) and blended soil conditioners (blended SC) produced from composted garden organics in the

metropolitan areas of New South WalesWithin rows, mean values followed by different letters are statistically different (P < 0.05)

Parameter Mulch SC Blended SC Mulch SC Blended SC (mean and range) (CV%)

Chemical propertiespH (1:5 solid:water) 6.53a (5.0–7.3) 6.89a (5.2–7.5) 7.13a (5.9–7.9) 11.1 11.3 7.7Electric conductivity (dS/m) 1.22a (0.39–1.95) 1.96a (1.24–3.12) 3.08b (1.34–4.68) 40.7 20.5 50.9Soluble P (mg/kg) 2.7a (0.9–5.3) 2.2a (0.9–7.1) 11.2a (0.2–43.4) 50.2 76.9 119.0NH4-N (mg/kg) 13.2a (0.7–63.7) 6.6a (0.4–57.4) 78.0b (0.6–231) 164.4 140.8 107.7NO3-N (mg/kg) 0.9a (0–2) 2.9a (0–16) 74.0b (0–527) 95.4 198.4 205.0Mineral N (mg/kg) 26.7a (0.7–65.7) 15.8a (0.6–57.4) 202.1b (1.3–530) 159.5 98.4 106.5C:N 71.7a (41.1–104.4) 25.5b (13.6–32.0) 19.9b (9.4–28.0) 27.0 26.6 37.5

Elemental compositionC (%) 44.6a (41–47) 25.1b (15–32) 20.6b (14–31) 4.6 25.8 29.3N (%) 0.66a (0.5–1.0) 1.00b (0.9–1.2) 1.21b (0.5–2.1) 26.0 15.2 44.1Ca (%) 0.71a (0.51–1.10) 1.44b (0.74–2.20) 2.23b (1.00–4.30) 28.2 33.3 54.2K (%) 0.40a (0.14–0.52) 0.50a (0.38–0.57) 0.44a (0.12–0.75) 30.0 16.0 54.6Mg (%) 0.14a (0.11–0.19) 0.25b (0.19–0.38) 0.29b (0.21–0.44) 21.4 24.0 24.1Na (%) 0.14a (0.11–0.18) 0.14a (0.10–0.20) 0.16a (0.07–0.27) 21.4 21.4 31.3P (%) 0.07a (0.03–0.13) 0.16b (0.05–0.24) 0.38b (0.09–0.82) 45.3 28.6 70.1S (%) 0.11a (0.06–0.17) 0.13a (0.09–0.16) 0.19b (0.07–0.28) 36.4 15.4 31.6Fe (%) 0.41a (0.19–0.76) 1.19b (0.70–1.50) 1.43b (0.90–2.60) 43.9 20.2 37.1B (mg/kg) 11.9a (6.1–15.0) 11.9a (8.9–16.0) 10.2a (2.8–17.0) 33.1 23.0 47.2Zn (mg/kg) 64.6a (48–87) 153.3b (120–200) 190.3c (63–330) 21.9 22.1 41.2Cu (mg/kg) 39.4a (11–110) 59.6b (30–190) 84.8c (25–240) 89.2 84.4 75.5

Page 232: Agricultural Applications for Pine-Based BioChar

K. Y. Chan et al.1380 Australian Journal of Experimental Agriculture

evaluated. The only exception was the blended soil conditionercontaining paper pulp (no. 14), which did not affect radish freshweight at any rate of application compared with the nil treatment(Fig. 1a). It had the lowest total N concentration (0.5%) andnegligible mineral N (1.3 mg/kg; Table 2). Three of the blendedsoil conditioners (no. 1, 11 and 17) showed continuing increasesin radish fresh weight with increasing application rates. Two ofthe samples (no. 5 and 16) showed increases up to 50 t/ha andthen remained unchanged at higher application rates. Both hadhigh mineral N concentration but were found to be phytotoxic(root length <20 mm long).

The nature of radish dry weight production in response toincreasing application rates of unblended and blended soilconditioners was similar to that observed for fresh weightproduction (Fig. 1). Regression of dry weight with mineral N,total N and C/N ratio of the soil conditioners all resulted instatistically significant correlation coefficients. Dry weight ofradish was found to be positively correlated with mineral N andtotal N but negatively correlated with C/N ratio. The highestcorrelation coefficient (r2 = 0.788) was obtained in the case ofC/N ratio. The equation is:

DW = 4.931 – (0.135 × CN) (r2 = 0.788, n = 10, P < 0.001) (1)

where DW is dry weight of radish at harvest and CN is C/N ratioof the soil conditioners. Therefore, dry matter production ofradish was negatively related to C/N ratio of the soilconditioners.

DiscussionThe mulches had low nutrient concentrations (e.g. mean mineraln = 27 mg/kg) and high C/N ratios (mean 72) suggesting theyare unlikely to be a source of nutrients for growing plants.However, the mulches are likely to be suitable as compostblankets for controlling weeds, conserving water and protectingthe soil surface against erosion (DEC 2005).

Compared with the other organic amendments (cow manure,N = 1.5%, P = 0.5%, potassium (K) = 1.2%; blood and bone,N = 5.3%, P = 5.2%; poultry manure, N = 3.1%, P = 2.5%,K = 1.6%; sewage sludge, N = 2.0%, P = 1.0% (Burgess 1993)),soil conditioners produced from garden organics as the onlyfeedstock were generally low in total N (1%), P (0.07%) and K(0.5%). In fact, average total N of the soil conditioners was lessthan a third of that of the poultry manure (Table 2). Accordingto Verdonck (1998), the total N of whole green compost (beforescreening) ranged from 0.6 to 0.8%. Cook et al. (1998) used agreen waste compost with a total N concentration of 1% to growbarley and found that the only significant yield increase wasobserved at the highest rate of compost application (150 t/ha).The low nutrient concentrations in the soil conditioners of ourstudy can be partly attributed to the nature of the feedstock,which consisted of grass clippings and tree prunings. The meanC/N ratio for the unblended soil conditioner was 25.5, which ishigher than the recommended optimal C/N range of 15 to 20:1for mature compost (Verdonck 1998). Composts with C/N ratiosabove 25 to 30:1 usually immobilises inorganic N (Sullivan andMiller 2001). The pot trial results confirmed the low nutrientavailability of the soil conditioners produced from gardenorganics alone and their unsuitability as soil amendments whenapplied as sole source of fertilisation. The significant reverse

Table 3. FDA and phytotoxicity tests of soil conditioners (SC) and blended soil conditioners (blended SC) produced from composted garden organics in the metropolitan areas of New South Wales

Mean values in the same row followed by different letters are statistically different (P < 0.05)

Parameter SC Blended SC SC Blended SC(mean and range) (CV%)

FDA (µg fluorescein/g soil.min) 25.6a (10.7–40.1) 22.7a (8.9–52.9) 44.1 58.6Root length (mm)A 98a (78–115) 63a (16–112) 13.7 65.8

AThe phytotoxity test using radish plant roots following Standards Australia (2003).

Fre

sh to

p w

eigh

t (g/

pot)

5

10

15

20

25

30

35 11

161

5

17

2

614

3 28

Application rate (t/ha)

20 40 60 80 100

Dry

top

wei

ght (

g/po

t)

0

0.5

1.0

1.5

2.0

2.5

3.0

3.5 1611

1175

2

614

3

28

0

(a)

(b)

Fig. 1. (a) Fresh weight and (b) dry weight of radish tops (g/pot) inresponse to increasing application rates (0, 25, 50 and 100 dry t/ha) of soilconditioners (�) and blended soil conditioners (�) produced fromcomposted garden organics.

Page 233: Agricultural Applications for Pine-Based BioChar

Australian Journal of Experimental Agriculture 1381

relationship between dry matter of radish plants and C/N ratio(Eqn 1) suggested the usefulness of the ratio as an indicator ofcompost maturity. Garcia et al. (1992) also suggested that C/Nis a good indicator of maturity for composts made fromfeedstock of high C/N ratio.

The FDA test is a measure of microbiological activity basedon enzymatic activities (Schnurer and Rosswall 1982).Recently, the test has been evaluated as an indicator ofmicrobiological activity and hence of compost stability duringcomposting process, with conflicting results (Garcia-Gomezet al. 2003; Saviozzi et al. 2004; Ntougias et al. 2006). WhileGarcia-Gomez et al. (2003) concluded that the FDA test couldbe used in place of respiration rate as a measure of stabilityduring composting of olive wastes, results of Saviozzi et al.(2004) for composting of urban wastes indicated that FDAvalues did not alter during the entire composting process and assuch was not a sensitive indicator of stability compared with thestandard respiration test. In the present study, similar FDAresults between the two categories of soil conditionerssuggested that they had similar level of microbiological activity,even though 42% of the blended soil conditioners were found tobe phytotoxic as measured by the root length bioassay test.Linear regression analyses indicated that the FDA results werenot significantly (P > 0.05) correlated with the root lengthbioassay results and, therefore, suggested that it is unsuitable asan indicator of compost stability. Further research is needed toresolve the discrepancy and to assess the usefulness of FDA testas an indicator of compost stability.

The high variability in the chemical composition of the CGOcompost products observed in this survey of NSW supportedearlier reports from other parts of Australia (Wilkinson et al.2000; Wilkinson et al. 2002). Such high variability and,therefore, uncertainty about the consistency of compostproducts has been identified as a barrier to market acceptance inAustralian agriculture (Wilkinson et al. 2002). The variability inthe chemical composition of the CGO compost products isprobably related to the differences in the composition of theorganic feedstock and the degree of maturity of the products.Garden organics can vary in total N concentrations dependingon the proportions of leafy material, such as grass clippings andmore woody material like tree trunks and branches. This isinfluenced by several factors, such as the size of the operation,geographical location, season, rainfall patterns and method ofgarden organic collection (Wilkinson et al. 2002; Dorahy et al.2005). For example, more grass clippings are generated duringthe summer months, which can lower the C/N ratio in compostsproduced during this period. Degree of maturity is determinedby the conditions and duration of the composting process (Chenand Inbar 1993). Immature compost products are oftenbiologically unstable and have the potential to reduce crop yield(Dick and McCoy 1993; Paulin et al. 2001). In our survey,nearly half of the blended soil conditioners were found to bephytotoxic and, therefore, immature. Results of the pot trialhighlighted the variable short-term plant responses, which werea direct reflection of the variability of the soil conditioners.

CGO soil conditioners have the potential to play an importantrole as a source of C for improving soil quality in the longer termthrough increasing aggregate stability, water holding capacityand microbial activity (Dick and McCoy 1993; Gibson et al.

2002). However, the unblended and blended CGO soilconditioners evaluated in our survey had mean C concentrationsof 25 and 21%, respectively, and some were as low as 14–15%,which was much lower than expected. This suggests inorganicmaterials, such as sand and clay were somehow enriched duringprocessing. If these products are to be promoted for use as asource of organic matter, then the total C concentrations willneed to be increased. The long-term benefit of CGO soilconditioners in improving soil quality of organic matterimpoverished soil needs to be demonstrated in field experiments.

The generally higher variability of the blended soilconditioners compared with the unblended soil conditionersreflected the variety of materials used for blending. The surveyresults further highlighted how the type of blending materialcan influence the properties, such as nutrient status, andagronomic performance of the final product. For example, theblended soil conditioners containing biosolids were higher in Nand heavy metals than those containing other organic residuals.The pot trial results emphasised that additional effort is stillrequired to improve product consistency, given that the soilconditioners containing the same blending material(e.g. poultry litter in no. 16 and 17) did not perform equally,with respect to increasing radish growth (Fig. 1). Compostquality and consistency can be improved by selecting feedstockand blending materials more judiciously, as well as controllingthe composting process more carefully.

Farmers will only buy CGO soil conditioners and mulches ifthere is a demonstrated value from using them, either throughimproving soil quality and crop productivity or providing a neteconomic return. Such information is not available and limitsthe potential to develop agricultural markets for CGO.Consequently, further research is required to quantify thebeneficial characteristics of these products and promote thesebenefits to farmers and the broader community.

ConclusionsOur survey of CGO commercially produced in the metropolitanareas of NSW has revealed that mulches and soil conditionershave variable physical, chemical and biological properties.Similarly, our pot experiment revealed the short-termagronomic performance of a selection of unblended andblended soil conditioners was inconsistent.

Product variability can be reduced and product quality can beimproved by more careful selection of feedstocks and blendingmaterials, as well as better control of the composting process.Further research is required to quantify the benefits theseproducts have in terms of improving soil quality, cropproductivity and net economic returns to farmers. These issuesneed to be addressed if viable agricultural markets for CGO areto be developed.

AcknowledgementsFinancial support provided by NSW Department of Environment andConservation is acknowledged. We also thank the compost producers fortheir cooperation in undertaking this study.

ReferencesABS (2001) 2001 agricultural census data. Australian Bureau of Statistics.

Available at http://www.abs.gov.au [Verified 15 August 2007]

Agronomic value of composted garden organics

Page 234: Agricultural Applications for Pine-Based BioChar

K. Y. Chan et al.1382 Australian Journal of Experimental Agriculture

Burgess J (1993) Organic fertilisers – an introduction. Agfact AC.20, NSWAgriculture, NSW, Australia.

Chen Y, Inbar Y (1993) Chemical and spectroscopical analyses of organicmatter transformation during composting in relation to compostmaturity. In ‘Science and engineering of composting: design,environmental, microbiological and utilisation aspects’. (Eds HAJHoitink, HM Keener) pp. 551–600. (Ohio State University: Wooster,OH)

Cook JA, Keeling AA, Bloxham PF (1998) Effect of green waste composton yield parameters in spring barley (Hordeum vulgare) v. Hart ActaHorticulturae 469, 283–286. [International Society of HorticultureScience]

DEC (2004) Draft aggregated analysis of the Department of Environmentand Conservation’s 2002/03 survey of organics processing in NSW.Department of Environment and Conservation (NSW), Parramatta,NSW, Australia.

DEC (2005) Recycled organics in catchment management. Final Report.(DEC 2005/363) Department of Environment and Conservation (NSW),Parramatta, NSW, Australia. Available at http://www.environment.nsw.gov.au/resources/2005363_ORG_CatchMgtRpt.pdf [Verified15 August 2007]

Dick WA, McCoy EL (1993) Enhancing soil fertility by additions ofcompost. In ‘Science and engineering of composting: design,environmental, microbiological and utilisation aspects’. (EdsHAJ Hoitink, HM Keener) pp. 622–644. (Ohio State University:Wooster, OH)

Dorahy C, Chan KY, Gibson TS, Tyler S (2005) Identifying potentialagricultural and horticultural markets for composted garden organics inNew South Wales. Centre for Recycled Organics in Agriculture, NSWDPI.

Garcia C, Hernandez T, Costa F, Ayuso M (1992) Evaluation of the maturityof municipal waste compost using simple chemical parameters.Communications in Soil Science and Plant Analyses 23, 1501–1512.

Garcia-Gomez A, Roig A, Bernal MP (2003) Composting of the solidfraction of olive mill wastewater with olive leaves: organic matterdegradation and biological activity. Bioresource Technology 86, 59–64.doi:10.1016/S0960-8524(02)00106-2

Gibson TS, Chan KY, Sharma G, Shearman R (2002) ‘Soil carbonsequestration using recycled organics – a review of the scientificliterature.’ NSW Agriculture consultancy report prepared forDepartment of Environment and Conservation, NSW. Available athttp://www.environment.nsw.gov.au/resources/SPD_ORG_0208SoilCarbonSeq.pdf [Verified 15 August 2007]

Isbell RF (1996) ‘The Australian soil classification.’ (CSIRO Publishing:Melbourne)

Ntougias S, Ehaliotis C, Papadopoulou KK, George Zervakis G (2006)Application of respiration and FDA hydrolysis measurements forestimating microbial activity during composting processes. Biology andFertility of Soils 42, 330–337. doi:10.1007/s00374-005-0031-z

Paulin R, Reid A, Solin E (2001) Marketing composted organics tohorticulture. Report to WA Waste Management and Recycling FundGRW/1/98 and GRW/6/98. Department of Agriculture, WesternAustralia.

Rayment GE, Higginson FR (1992) Australian laboratory handbook of soiland water chemical methods. In ‘Australian soil and land surveyhandbook’. pp. 17–23. (Inkata Press: Melbourne)

Resource NSW (2001) Waste Avoidance and Recovery Act 2001. NSWConsolidated Act. Available at http://www.austlii.edu.au/au/legis/nsw/consol_act/waarra2001364/ [Verified 15 August 2007]

Resource NSW (2003) Waste Avoidance and Resource RecoveryStrategy. NSW Government 2003. Available athttp://www.environment.nsw.gov.au/resources/warr2003_fullreport.pdf[Verified 15 August 2007]

Saviozzi R, Cardelli R, Levi-Minzi R, Riffaldi R (2004) Evolution ofbiochemical parameters during composting of urban wastes. CompostScience & Utilization 12, 153–160.

Schnurer JS, Rosswall T (1982) Fluorescein diacetate hydrolysis a measureof total microbial activity in soil and litter. Applied and EnvironmentalMicrobiology 432, 1256–1261.

Standards Australia (2003) ‘Australian standard composts, soil conditionersand mulches – AS4454–2003.’ (Standard Australia International Ltd:Sydney)

Sullivan DM, Miller RO (2001) ‘Compost quality attributes, measurementsand variability.’ (CRC Press: Boca Raton, FL)

USEPA (1996) USEPA Method 3050B (Acid digestion of sediments,sludges and soils). Test methods for evaluating solid waste,physical/chemical methods. USEPA.

Verdonck O (1998) Compost specifications. Acta Horticulturae 469,169–176.

Victorian Consolidation Legislation (2005) Sustainability Victoria Act2005. Victorian Acts. Available at http://www.austlii.edu.au/au/legis/vic/consol_act/sva2005277/ [Verified 15 August 2007]

VSN International Ltd (2003) ‘GENSTAT for Windows.’ 7th edn. (LawesAgricultural Trust: Rothamsted, UK)

Wilkinson K, Tee E, Hood V (2000) Does AS4454 adequately benchmarkcompost quality? In ‘Compost 2000 Down Under Conference.’ pp. 1–7.(Compost Australia: Melbourne)

Wilkinson K, Paulin R, Tee E, O’Malley P (2002) Grappling with compostquality down-under. In ‘Proceedings of the 2002 internationalsymposium on composting and compost utilization. 6–8 May 2002,Columbus, Ohio’. (Eds SC Michel Jr, RF Rynk, HAJ Hoitink)pp. 527–539. (Ohio State University: Columbus)

WMAA (2005) Compost industry supply chain – industry position paper.Waste Management Association of Australia, Compost Australia.Available at http://www.wmaa.asn.au/director/divisions/compost/Roadmap%20Strategies%20And%20Actions.cfm [Verified20 September 2007]

Zero Waste SA (2005) South Australia’s waste strategy 2005–2010.Government of South Australia, Adelaide. Available athttp://www.zerowaste.sa.gov.au/pdf/waste_strategy/zw_waste_strategy_final.pdf [Verified 15 August 2007]

Manuscript received 4 April 2006, accepted 4 April 2007

http://www.publish.csiro.au/journals/ajea

Page 235: Agricultural Applications for Pine-Based BioChar

2008 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim www.plant-soil.com

J. Plant Nutr. Soil Sci. 2008, 171, 893–899 DOI: 10.1002/jpln.200625199 893

Nitrogen retention and plant uptake on a highly weathered centralAmazonian Ferralsol amended with compost and charcoalChristoph Steiner1,2*, Bruno Glaser1, Wenceslau Geraldes Teixeira3, Johannes Lehmann4, Winfried E.H. Blum5, andWolfgang Zech1

1 Institute of Soil Science and Soil Geography, University of Bayreuth, 95440 Bayreuth, Germany2 Current address: Biorefining and Carbon Cycling Program, The University of Georgia, Athens, USA3 Embrapa Amazonia Ocidental, CP 319–69011–970 Manaus, Brazil4 Department of Crop and Soil Sciences, Cornell University, Ithaca, NY 14853, USA5 Institute of Soil Research, University of Natural Resources and Applied Life Sciences (BOKU), 1180 Vienna, Austria

AbstractLeaching losses of N are a major limitation of crop production on permeable soils and underheavy rainfalls as in the humid tropics. We established a field trial in the central Amazon (nearManaus, Brazil) in order to study the influence of charcoal and compost on the retention of N.Fifteen months after organic-matter admixing (0–0.1 m soil depth), we added 15N-labeled(NH4)2SO4 (27.5 kg N ha–1 at 10 atom% excess). The tracer was measured in top soil (0–0.1 m)and plant samples taken at two successive sorghum (Sorghum bicolor L. Moench) harvests.The N recovery in biomass was significantly higher when the soil contained compost (14.7% ofapplied N) in comparison to only mineral-fertilized plots (5.7%) due to significantly higher cropproduction during the first growth period. After the second harvest, the retention in soil was sig-nificantly higher in the charcoal-amended plots (15.6%) in comparison to only mineral-fertilizedplots (9.7%) due to higher retention in soil. The total N recovery in soil, crop residues, and grainswas significantly (p < 0.05) higher on compost (16.5%), charcoal (18.1%), and charcoal-plus-compost treatments (17.4%) in comparison to only mineral-fertilized plots (10.9%). Organicamendments increased the retention of applied fertilizer N. One process in this retention wasfound to be the recycling of N taken up by the crop. The relevance of immobilization, reduced Nleaching, and gaseous losses as well as other potential processes for increasing N retentionshould be unraveled in future studies.

Key words: biochar Brazil / carbon / nitrogen cycling / slash-and-burn / soil organic matter / Terra Preta

Accepted January 2, 2008

1 Introduction

The fertility of highly weathered Ferralsols in the tropics islow, and soil organic matter (SOM) plays a major role in sus-taining soil productivity. Thus, long-term intensive use is notsustainable without nutrient inputs where SOM stocks aredepleted (Tiessen et al., 1994). Due to low nutrient-retentioncapacity and high permeability of these soils, strong tropicalrainfalls cause rapid leaching of mobile nutrients such asthose applied with mineral N fertilizers (Hölscher et al.,1997a; Giardina et al., 2000; Renck and Lehmann, 2004).

To overcome these limitations of poor soil, low nutrient-reten-tion capacity and accelerated SOM decay require alternativesto slash-and-burn (the prevalent agricultural practice in thetropics) and alternative fertilization methods (Ross, 1993;Fernandes et al., 1997). Instead of burning, involving a quickrelease of nutrients (Kuhlbusch et al., 1991; Hölscher et al.,1997b; Giardina et al., 2000; Hughes et al., 2000) and CO2(Fearnside, 1997), fallow vegetation could be applied asmulch (Sommer et al., 2004), compost, or charcoal (Lehmannet al., 2002). Depending on the mineralization rate, organicfertilizers such as compost, mulch, or manure applicationsrelease nutrients in a gradual manner (Burger and Jackson,2003). This may be different for very recalcitrant organic addi-

tions such as charcoal. According to Duxbury et al. (1989)and Sombroek et al. (1993), it is important to separate effectsdue to OM per se (maintenance and improvement of waterinfiltration, water-holding capacity, structure stability, CEC,healthy soil-biological activity) from those due to its decompo-sition (source of nutrients).

Only relatively small amounts of charcoal are produced bythe traditional slash-and-burn technique. Charcoal representsonly 1.7% of the preburn biomass if a forest is converted intocattle pasture (Fearnside et al., 2001). Producing charcoal forsoil amelioration from aboveground biomass instead of con-verting it to CO2 through burning might be an alternative toslash-and-burn (Lehmann et al., 2002; Steiner et al., 2004b;Lehmann et al., 2006).

The existence of so-called “Terra Preta de Índio” (Indian blackearth) suggests that a human-induced accumulation of SOMcan be maintained over centuries (Sombroek et al., 1993).These soils are exceptionally fertile, and their productivity ismost likely linked to an anthropogenic accumulation of P andCa associated with bone apatite (Lima et al., 2002) and blackC (BC) as charcoal (Glaser et al., 2001).

* Correspondence: Dr. Ch. Steiner;e-mail: [email protected]

Page 236: Agricultural Applications for Pine-Based BioChar

The sustained fertility of charcoal-containing Terra Preta andthe frequent use of charcoal as a soil conditioner (Steineret al., 2004b) in Brazil provided the incentive to study theeffects of charcoal application on N cycling. Charcoal actedas an adsorber which reduced N leaching in previous potexperiments (Lehmann et al., 2002, 2003), and charcoaladditions proved to sustain fertility if an additional nutrientsource is given in a field trial (Steiner et al., 2007). Charcoalplus fertilizer improved plant growth and doubled grain pro-duction in comparison to the fertilizer without charcoal. Plantbiomass production sharply decreased within 1 y when onlymineral fertilizer was applied, but could be maintained for alonger period of time when OM was added. The authors pro-posed that charcoal can improve soil chemical, biological,and physical properties, but could not completely discern themechanisms of fertility enhancement (Steiner et al., 2007).

Stable isotopes such as 15N can serve as valuable tracers tostudy plant resource acquisition and as a means to understandhow plants interact with their abiotic and biotic environments(Dawson et al., 2002). Therefore, our objective was to comparethe effect of organic amendments such as charcoal and com-post on retention of 15N-labeled mineral fertilizer in a highlyweathered Ferralsol under humid tropical field conditions.

2 Materials and methods

2.1 Study location and experimental setup

The experiment was conducted within a larger field trial estab-lished 30 km N of Manaus, Amazonas, Brasil (3°8′ S, 59°52′ W,40–50 m asl) at the Embrapa-Amazônia Ocidental (EmpresaBrasileira de Pesquisa Agropecuaria) experimental researchstation. The natural vegetation is evergreen tropical rainforestwith a mean annual precipitation of 2530 mm (1971–1997) hav-ing its seasonal maximum between December and May, amean annual temperature of 25.8°C (1987–1997), and relativehumidity of 85% (Correia and Lieberei, 1998). The soil was clas-sified as a highly weathered Xanthic Ferralsol (FAO, 1990), fine-textured with high clay content. It is strongly aggregated and hasmedium contents of organic C (24 g kg–1), low pH values of 4.7(in H2O), low CEC of 1.6 cmolc kg –1, and low base saturation(BS) of 11% (Steiner et al., 2007).

This experiment is part of a long-term field trial established inJanuary 2001 (Steiner et al., 2007). The main objective wasto study different organic-amendment combinations based onequal amounts of C additions. Fifteen different treatmentswere established in five repetitions after clearing of approx.3600 m2 secondary forest and removing the abovegroundbiomass. The treatments were applied on 4 m2 plots (2 m × 2 m)forming an entire field area of 1600 m2 (45 m × 35 m) with aminimum distance to the surrounding vegetation of 10 m. Forthis study, five mineral-fertilized (F) treatments were chosen,four of them with compost (CO + F) and/or charcoal (CC + F)application (Tab. 1). The treatment receiving compost only(CO) served to provide a reference value for N isotope com-position in soil and plants. This treatment was used as a con-trol for all treatments as d15N did not differ between the treat-ments without tracer application [(NH4)2SO4 fertilized or not].

The charcoal derived from secondary forest wood and wasconsidered rather as soil conditioner than fertilizer due to thecharcoal’s low nutrient contents (Tab. 1). It was manuallycrushed to particle sizes <2 mm. The applied 11 Mg ha–1

corresponded to the amount of charcoal-C which could beproduced by a single slash-and-char event of a tropicalsecondary forest on Xanthic Ferralsols in central Amazonia(Lehmann et al., 2002). The amount of C added with charcoalwas chosen as a reference value for adding the compost.Compost was prepared from biomass of a secondary forest,fruit residues, manure, and kitchen waste. On February 3,2001, organic materials were mixed with hand hoes into thetop soil (0–0.1 m) of the plots, and the first mineral fertilizationwas done on March 19, 2001 [30 N kg ha–1 as (NH4)2SO4,35 kg P ha–1 as simple superphosphate, 50 kg K ha–1 as KCl,and 2100 kg lime ha–1]. The fields were cropped twice (riceOryza sativa L. and sorghum Sorghum bicolor L. Moench)prior the second fertilization on April 16 (see Tab. 1 for treat-ment description). All crop residues remained on the field,and only grains were removed. Sorghum was planted againon April 18, 2002 in a density of 25 plants m–2 producing twoharvests by ratooning (July 21 and October 16, 2002). Onlythese two harvests are subject of the present paper anddesignated as 1st (HI) and 2nd (HII) harvest.

2.2 Tracer application, sampling, and calculations

The chosen treatments (F, CC + F, CO + F, ½CC + ½CO + F,and CC + ½CO + F) received 15N isotope enrichment using15N-labeled (NH4)2SO4 with 10 atom% 15N excess. The tra-cer was mixed in a ratio 1:1 with conventional (NH4)2SO4 and

2008 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim www.plant-soil.com

Table 1: Treatments, organic amendments, and harvest remnants(from previous harvests remained in the field). Mineral fertilization (F)was applied after the second harvest in April 2002, 15N-labeled N(55), P (40), K (50), lime (430) [kg ha–1].

Token Organic matter 1stharvest(HI)remnantsa

2ndharvest(HII)remnantsa

Total

[Mg dry matter ha–1]

COb compost (67) 5.13 1.11 6.24

F 1.98 0.27 2.25

CO + F compost (67) 6.24 1.51 7.75

CC + F charcoal (11) 2.55 0.72 3.27

½CC + ½CO + F charcoal (5,5),compost (33,5)

4.74 1.10 5.85

CC + ½CO + F charcoal (11),compost (33,5)

4.28 1.10 5.38

F = mineral fertilizer; CO = compost; CC = charcoala previous harvests July 7, 2001 and February 6, 2002b unfertilized control treatment, reference value for 15N natural abun-dance;previous mineral fertilization: March 2001 [kg ha–1] N (30), P (35), K(50), lime (2100);compost contained 10.1, 0.73, 2.85, 3.27, and 1.51 g kg–1 N, P, K,Ca, and Mg, respectively;charcoal contained 5.39, 0.03, 0.23, 0.82, and 0.17 g kg–1 N, P, K,Ca, and Mg, respectively.

894 Steiner, Glaser, Teixeira, Lehmann, Blum, Zech J. Plant Nutr. Soil Sci. 2008, 171, 893–899

Page 237: Agricultural Applications for Pine-Based BioChar

applied at a rate of 55 kg N ha–1 in April 2002 (second fertili-zation). Additionally, 40 kg P ha–1, 50 kg K ha–1, and 430 kgha–1 of lime was applied. Soil and plant samples were takenat each harvest and analyzed for d15N. Only the top 0.1 m ofsoil was sampled, this was also the depth down to which theorganic amendments were mixed. Two soil samples weretaken per plot to form one composite sample. Soils were air-dried and ground before isotope analysis. Representativeplant samples were taken from the entire crop by using thecenter 1.4 × 1.4 m (49 plants) of each plot. Plant sampleswere dried at 70°C for 48 h and ground.

The remaining fertilizer N in soil or plant biomass was calcu-lated after Eq. 1 (Boutton, 1996).

Nf � d15Nf� Nf � d15Nc�Y � d15NNPK, (1)

Nf = nitrogen content of biomass or soil in N-fertilized treat-ment,

d15Nf = measured d15N value of biomass or soil in N-fertilizedtreatment,

d15Nc = measured d15N value of biomass or soil in unfertilizedcontrol treatment (only CO served as valid control treatmentas d15N did not differ between treatments without tracer appli-cation),

d15NNPK = d15N of (NH4)2SO4 10 atom% 15N excess(= 29330.3‰).

The amount of 15N remaining in soil or in plant biomass (Y)was calculated according to Eq. 2. The subtraction of d15Nc inthe denominator was neglected because it is small (approx.10 and 20 for soil and biomass, respectively) in comparisonto d15NNPK.

Y �Nf � d15Nf � Nf � d15Nc

d15NNPK. (2)

The percentage of N taken up by biomass or remaining in thesoil was calculated according to Eq. 3:

N% � YN�NH4�2SO4

� 100, (3)

where N(NH4)2SO4 = amount of tracer fertilized [27.5 kg ha–1

(NH4)2SO4 10 atom% 15N excess].

2.3 Analyses of soil and plant samples

Soil and plant samples were analyzed for their C and N con-tents by dry combustion with an automatic C/N-Analyzer (Ele-mentar, Hanau, Germay). Total N isotope composition in soiland plants was determined using an Elemental Analyzer(Carlo Erba NA 1500, Carlo Erba Reagenti, Rodano, Italy; forDumas combustion) connected to an isotope-mass spectro-meter (FINNIGAN MAT delta E; Thermo Finnigan, San JoseCA) via a split interface.

2.4 Statistical analyses

Treatment effects were analyzed by one-way analysis of var-iance (ANOVA). Significant treatment effects were detectedusing the Fisher’s LSD (last significant difference) test. Statis-tical analyses and figures were performed using SPSS 12.0(SPSS Inc.) and SigmaPlot 7.0.

3 Results and discussion

While the soil C contents were significantly increased by theorganic amendments (CO and CC), the N values were onlysignificantly enhanced in comparison to the F plots if CO wasapplied (Fig. 1). After the second harvest (HII), the N and Ccontents on solely compost-amended plots (CO) did not differfrom those receiving only mineral fertilizer. The OM-amendedand N-fertilized plots had significantly higher C and N con-tents than the F plots. All organic amendments significantlyincreased the C : N ratio after the first harvest. This differencewas even more distinct after the second harvest but only oncharcoal-containing plots (Fig. 1).

Neither the N concentrations in the biomass nor the mea-sured d15N values differed significantly (data not shown). Thesignificantly higher mineral N uptake by plants growing on thecompost-amended plots (CO + F) was due to a significantlyhigher plant biomass production (Tab. 2).

Wardle et al. (1998) found greater tree-seedling growth, Nuptake, and enhanced efficiency of nutrient uptake in borealforest soils when charcoal was added. The authors assumedthat adsorption of phenolics by the charcoal diminishedadverse effects on plant growth, both as allelopathic agents,and through complexing N, thus reducing its availability toplants. In our case, soil analyses indicate that other nutrientsthan N were more important to enhance plant growth leadingto N sequestration in biomass (Steiner et al., 2007). Thisassumption is corroborated by the study of Alfaia et al. (2000)who found only a 16% rice grain-yield increase due to(NH4)2SO4 fertilization, but significant losses of fertilized N.

In the soil, the situation was rather different. After the secondharvest (HII), significantly more fertilizer N remained in thesoil amended with charcoal (15.6% of applied N) than onplots without organic amendment (9.7%). The compost treat-ment showed intermediate values (12.6%) (Fig. 2). In the soil,the increased retrieval of N rather than higher total soil N con-tents caused the significantly enhanced N recovery. Onlyremaining crop residues could have caused the increase inencountered 15N from HI to HII. However, the treatment ½CC+ ½CO + F showed a much larger increase in soil 15Nencountered from HI to HII than the F treatment but hadslightly less crop-residue input (Tab. 2). Only the composttreatment (CO + F) generated significantly more crop residue15N than the control group but this additional residue returndid not significantly affect the soil 15N at HII.

At least to some extent the accrued crop residues after HIIadded to the soil’s N pool as shown by the shift in isotopevalues (data not shown) because soil sampling was done7–14 d after the harvest. Belowground biomass was not

2008 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim www.plant-soil.com

J. Plant Nutr. Soil Sci. 2008, 171, 893–899 Nitrogen retention with compost and charcoal 895

Page 238: Agricultural Applications for Pine-Based BioChar

assessed and can contribute significantly to N cycling as theroot biomass pool can be assumed to be at least half as largeas the aboveground biomass pool (Lacerda et al., 2004;Hattori et al., 2005). Lehmann and Zech (1998) found 30% ofsorghum roots in Kenya below 0.3 m. We sampled only theupper 0.1 m, thus N could have been recycled from deepersoil layers.

The significantly increased uptake of applied N by plants onplots with additional compost and the significantly higher Nretention in the soil due to charcoal additions may be explainedby either reduced N leaching (Lehmann et al., 2003) or reducedgaseous N losses (Yanai et al., 2007). Reduced N leaching maybe a result (1) of either improved retention of the applied NH�

4 byelectrostatic adsorption to exchange sites provided by the com-

2008 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim www.plant-soil.com

Figure 1: Contents of C and N in of the soilat the first (HI) and second harvest (HII). Theerror bars show the mean ± standard error.The Fisher’s LSD (least significant differ-ence) value is plotted to scale significantmean separation (p < 0.05).

Table 2: Biomass production, N uptake, and withdrawal (grains) at the first (HI) and second harvest (HII). Different letters in the same columnindicate significant differences (p < 0.05) between treatments (Fisher’s LSD test, n = 5).

HI HII HI HII

crop residues grains crop residues grains N residues N grains N residues N grains

Treatment [Mg dry matter ha–1] [kg ha–1]

F 1.38 b 0.28 c 0.50 c 0.14 c 11.3 c 4.7 c 4.9 b 2.3 c

CO 1.50 b 0.28 c 0.56 c 0.16 bc 19.8 b 5.8 c 7.5 b 3.2 bc

CO + F 2.69 a 0.96 a 1.17 a 0.80 a 29.8 a 15.5 a 13.1 a 12.6 a

CC + F 1.85 b 0.42 bc 0.72 bc 0.28 bc 17.3 bc 7.1 c 7.0 b 4.6 bc

½CC + ½CO + F 1.76 b 0.65 b 0.80 abc 0.33 bc 18.9 bc 11.8 ab 8.7 b 6.1 bc

CC + ½CO + F 2.08 ab 0.49 bc 0.97 ab 0.49 ab 19.7 b 8.1 bc 9.1 ab 8.5 ab

F = mineral fertilizer; CO = compost; CC = charcoalCrop residues remained in the field; mean C 44.8, N 9.97 g kg–1, C : N = 44.16; mean N content of grains = 16.9 g kg–1

896 Steiner, Glaser, Teixeira, Lehmann, Blum, Zech J. Plant Nutr. Soil Sci. 2008, 171, 893–899

Page 239: Agricultural Applications for Pine-Based BioChar

post or charcoal or (2) of immobilization of N by microbial bio-mass. Lehmann et al. (2003) made microbial immobilizationresponsible for decreases in foliar N contents and total N uptakeas a response to charcoal additions due to their higher C : Nratio. However, their pot experiment used larger amounts ofapplied charcoal (67.6 and 135.2 Mg C ha–1) than our study. TheC : N ratio in the soil studied here was found to be significantlyhigher in the charcoal treatments at both harvest times (Fig. 1)in comparison to the control. Decomposition of a portion ofnewly applied charcoal and concurrent N immobilization is mostlikely a transient phenomenon as charcoal is much more stablethan other organic additions (Baldock and Smernik, 2002). Inthe studied permeable soils under high-rainfall conditions,temporary immobilization of mobile nutrients might be desirable.The results of the 15N experiments by Burger and Jackson(2003) suggest a very dynamic role of microbially bound N andhighlight the importance of N immobilization that is taking placesimultaneously with inorganic-N production by mineralization.They concluded that greater C availability stimulates microbialactivity resulting in greater N demand, promoting immobilizationand recycling of NO�

3 . The resilience of soil C in charcoal-amended plots shows the refractory nature of charcoal (Kuhl-busch and Crutzen, 1995). While the stability of charcoal leadsto low C losses, nutrient release by mineralization is most likelylower than from other organic materials. As charcoal is expectedto be an extremely recalcitrant form of OM, it is unknown to whatextent charcoal C favors N immobilization. In previous studies,the same plots showed significantly increased plant growth andpotential for microbial-population growth in mineral-fertilizedsoils amended with charcoal and in Terra Preta, but lower micro-bial respiration in the absence of an easily degradable C source(glucose) compared to soils without charcoal (Steiner et al.,2004a, 2007). It has been shown that charcoal amendmentscan significantly enhance nitrification in pine-forest soils(DeLuca et al., 2006). The authors suggest that charcoal alters

the activity of the nitrifying community and removes inhibitingphenols. We could not elucidate alterations in nitrification and itspossible consequences for leaching and denitrification,although Birk (2005) found evidence that the organic amend-ments increased the presence of anaerobic bacteria which pos-sibly are denitrifiers. Dinkelmeyer et al. (2003) found a rapidlydecreasing total recovery (in plants and soil) of 15N (87% to 54%to 24% at 1, 3, and 12 months after N application, respectively),but they assessed a complex and deep-rooting agroforestrysystem to a soil depth of 5 m. They found a minimum of 13% N-fertilizer efficiency when applied to peach palm (Bactris gasi-paes) and a maximum of 38% if applied to cupuassu (Theo-broma grandiflorum). Alfaia et al. (2000) assessed N utilizationof a rice crop grown in central Amazona and found a N-fertilizerefficiency of only 7.8%, 10.0%, and 1% in shoot, grain, and rootbiomass, respectively. We found a maximum recovery in plantbiomass of 15% and total recovery of 22% 3 months after Napplication at HI. Already after 4 d, Renck and Lehmann (2004)found applied 15N in the soil solution to a depth of 0.6 m and to adepth of 5 m after 1 week at the same study site. They found thatthe largest part of applied 15N in the top soil was leached asorganic N. The total fluxes of organic N were similar to those ofNO�

3 in the topsoil. According to Lehmann et al. (2002), the NH�4

adsorbability of charcoal is largely dependent on soluble OM, asan addition of DOC from a manure extract increased NH�

4adsorption. Therefore charcoal might have reduced leaching oforganic N in addition to the inorganic forms. The organic amend-ments might likewise have altered denitrification but leaching ismost likely the predominant N loss in the studied soil and therelative proportion could not be clarified in this study.

The charcoal’s low biodegradability (Kuhlbusch and Crutzen,1995), low nutrient content (Ogawa, 1994; Antal and Grønli,2003), and high porosity and specific surface area (Braidaet al., 2003) makes charcoal a rather exceptional SOM con-

2008 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim www.plant-soil.com

Figure 2: Amount of mineral N fertilizerremaining in the soil (Ferralsol, a and b)and in the crop (sorghum, c and d) afterthe first (HI, a and c) and second harvest(HII, b and d) as a percentage. Meansand standard errors (p < 0.05, Fisher’sLSD test, n = 5).

J. Plant Nutr. Soil Sci. 2008, 171, 893–899 Nitrogen retention with compost and charcoal 897

Page 240: Agricultural Applications for Pine-Based BioChar

stituent. Terra Preta research has shown that oxidation onthe edges of the aromatic backbone and adsorption of otherOM to charcoal is responsible for the increased CEC, thoughthe relative importance of these two processes remainsunclear (Liang et al., 2006).

4 Conclusion

We conclude that both the higher retention of N in the soiland the increased uptake by biomass are responsible for thesignificantly enhanced N cycling in plots that received char-coal. Soil charcoal amendments improve the efficiency ofmineral N fertilizer.

Acknowledgments

The research was conducted within SHIFT ENV 45, a Ger-man–Brazilian cooperation and financed by BMBF, Germanyand CNPq, Brazil (BMBF No. 0339641 5A, CNPq 690003/986). A financial contribution was given by the doctoral scho-larship program of the Austrian Academy of Sciences. Weare grateful for the fieldworkers’ help particularly Luciana Fer-reira da Silva and Franzisco Aragão Simão and the laborato-ry technician Marcia Pereira de Almeida. Jago Birk helpedduring an internship on the field and in the laboratory.

References

Alfaia, S. S., Guiraud, G., Jacquin, F., Muraoka, T., Ribeiro, G. A.(2000): Efficiency of nitrogen-15labelled fertilizers for rice and rye-grass cultivated in an Ultisol of Brazilian Amazonia. Biol Fertil.Soils 31, 329–333.

Antal, M. J., Grønli, M. (2003): The art, science, and technology ofcharcoal production. Ind. Eng. Chem. Res. 42, 1619–1640.

Baldock, J. A., Smernik, R. J. (2002): Chemical composition andbioavailability of thermally altered Pinus resinosa (Red pine) wood.Org. Geochem. 33, 1093–1109.

Birk, J. J. (2005): Einfluss von Holzkohle und Düngung auf die mikro-bielle Zersetzergemeinschaft und den Streuumsatz in amazo-nischen Ferralsols. Master thesis (unpublished), University ofBayreuth, Germany.

Boutton, T. W. (1996): Stable carbon isotope ratios of soil organicmatter and their use as indicators of vegetation and climatechange, in Boutton, T. W., Yamasaki, S. (eds.): Mass Spectrometryof Soils. Marcel Dekker, New York, pp. 47–82.

Braida, W. J., Pignatello, J. J., Lu, Y. F., Ravikovitch, P. I., Neimark,A. V., Xing, B. S. (2003): Sorption hysteresis of benzene incharcoal particles. Environ. Sci. Technol. 37, 409–417.

Burger, M., Jackson, L. E. (2003): Microbial immobilization of ammo-nium and nitrate in relation to ammonification and nitrification ratesin organic and conventional cropping systems. Soil Biol. Biochem.35, 29–36.

Correia, F. W. S., Lieberei, R. (1998): Agroclimatological informationabout the experimental field of the SHIFT-area, ENV 23, 42, 45,52. Third SHIFT Workshop, Manaus. BMBF, Berlin, Germany,pp. 389–396.

Dawson, T. E., Mambelli, S., Plamboeck, A. H., Templer, P. H., Tu,K. P. (2002): Stable isotopes in plant ecology. Annu. Rev. Ecol.Syst. 33, 507–559.

DeLuca, T. H., Kenzie, M. D. M., Gundale, M. J., Holben, W. E.(2006): Wildfire-produced charcoal directly influences nitrogencycling in Ponderosa pine forests. Soil Sci. Soc. Am. J. 70,448–453.

Dinkelmeyer, H., Lehmann, J., Renck, A., Trujillo, L. Jr., J. P. d. S.,Gebauer, G., Kaiser, K. (2003): Nitrogen uptake from 15N-enrichedfertilizer by four tree crops in an Amazonian agroforest. Agroforest.Syst. 57, 213–224.

Duxbury, J. M., Smith, M. S., Doran, J. W., Jordan, C., Szott, L.,Vance, E. (1989): Soil Organic Matter as a Source and a Sink ofPlant Nutrients, in Coleman, D. C., Oades, J. M., Uehara, G.(eds.): Dynamics of Soil Organic Matter in Tropical Ecosystems.University of Hawaii Press, Honolulu, pp. 33–67.

FAO (1990): Soil map of the world, revised legend. FAO, Rome, Italy.

Fearnside, P. M. (1997): Greenhouse gases from deforestation inBrazilian Amazonia: Net committed emissions. Climatic Change.35, 321–360.

Fearnside, P. M., Lima, P. M., Graça, A., Rodrigues, F. J. A. (2001):Burning of Amazonian rainforest: burning efficiency and charcoalformation in forest cleared for cattle pasture near Manaus, Brazil.Forest Ecol. Manage. 146, 115–128.

Fernandes, E. C. M., Motavalli, P. P., Castilla, C., Mukurumbira, L.(1997): Management control of soil organic matter dynamics intropical land-use systems. Geoderma 79, 49–67.

Giardina, C. P., Sanford, R. L., Dockersmith, I. C., Jaramillo, V. J.(2000): The effects of slash burning on ecosystem nutrients duringthe land preparation phase of shifting cultivation. Plant Soil 220,247–260.

Glaser, B., Guggenberger, G., Haumaier, L., Zech, W. (2001): Persis-tence of Soil Organic Matter in Archaeological Soils (Terra Preta)of the Brazilian Amazon Region, in Rees, R. M., Ball, B. C.,Campbell, C. D., Watson, C. A.: Sustainable management of soilorganic matter. CABI Publishing, Wallingford, pp. 190–194.

Hattori, T., Inanaga, S., Araki, H., An, P., Morita, S., Luxová, M., Lux,A. (2005): Application of silicon enhanced drought tolerance inSorghum bicolor. Physiol. Planta. 123, 459–466.

Hölscher, D., Ludwig, B., Möller, R. F., Fölster, H. (1997a): Dynamicof soil chemical parameters in shifting agriculture in the EasternAmazon. Agr. Ecosyst. Environ. 66, 153–163.

Hölscher, D., Möller, R. F., Denich, M., Fölster, H. (1997b): Nutrientinput-output budget of shifting agriculture in Eastern Amazonia.Nutr. Cycl. Agroecosys. 47, 49–57.

Hughes, R. F., Kauffman, J. B., Cummings, D. L. (2000): Fire in theBrazilian Amazon 3. Dynamics of biomass, C, and nutrient pools inregenerating forests. Oecologia 124, 574–588.

Kuhlbusch, T. A. J., Crutzen, P. J. (1995): Toward a global estimate ofblack carbon in residues of vegetation fires representing a sink ofatmospheric CO2 and a source of O2. Global Biogeochem. Cycl. 9,491–501.

Kuhlbusch, T. A., Lobert, J. M., Crutzen, P. J., Warneck, P. (1991):Molecular nitrogen emissions from denitrification during biomassburning. Nature 351, 135–137.

Lacerda, C. F., Cambraia, J., Oliva, M. A., Ruiz, H. A. (2004): Influ-ência do cálcio sobra o crescimento e solutos em plântulas desorgo estressadas com cloreto de sódio. R. Bras. Ci. Solo. 28,289–295.

Lehmann, J., Zech, W. (1998): Fine root turnover of irrigatedhedgerow intercropping in Northern Kenya. Plant Soil 198, 19–31.

Lehmann, J., da Silva Jr., J. P., Rondon, M., Cravo, M. d. S.,Greenwood, J., Nehls, T., Steiner, C., Glaser, B. (2002): Slash andchar – a feasible alternative for soil fertility management in the

2008 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim www.plant-soil.com

898 Steiner, Glaser, Teixeira, Lehmann, Blum, Zech J. Plant Nutr. Soil Sci. 2008, 171, 893–899

Page 241: Agricultural Applications for Pine-Based BioChar

central Amazon? 17th World Congress of Soil Science, Bangkok,Thailand, The International Union of Soil Sciences, pp. 1–12.

Lehmann, J., da Silva Jr., J. P., Steiner, C., Nehls, T., Zech, W.,Glaser, B. (2003): Nutrient availability and leaching in an archaeo-logical Anthrosol and a Ferralsol of the Central Amazon basin:fertilizer, manure and charcoal amendments. Plant Soil 249,343–357.

Lehmann, J., Gaunt, J., Rondon, M. (2006): Bio-char sequestration interrestrial ecosystems–a review. Mitig. Adapt. Strat. Glob. Change.11, 403–427.

Liang, B., Lehmann, J., Solomon, D., Grossman, J., O′Neill, B.,Skjemstad, J. O., Thies, J., Luizão, F. J., Petersen, J., Neves, E. G.(2006): Black carbon increases cation exchange capacity in soils.Soil Sci. Soc. Am. J. 70, 1719–1730.

Lima, H. N., Schaefer, C. E. R., Mello, J. W. V., Gilkes, R. J., Ker,J. C. (2002): Pedogenesis and pre-Colombian land use of “TerraPreta Anthrosols” (“Indian black earth”) of Western Amazonia.Geoderma 110, 1–17.

Ogawa, M. (1994): Symbiosis of people and nature in the tropics.Farming Japan 28, 10–30.

Renck, A., Lehmann, J. (2004): Rapid water flow and transport ofinorganic and organic nitrogen in a highly aggregated tropical soil.Soil Sci. 169, 330–341.

Ross, S. M. (1993): Organic matter in tropical soils–Current condi-tions, concerns and prospects for conservation. Prog. Phys. Geog.17, 265–305.

Sombroek, W. G., Nachtergaele, F. O., Hebel, A. (1993): Amounts,dynamics and sequestering of carbon in tropical and subtropicalsoils. Ambio 22, 417–426.

Sommer, R., Vlek, P. L. G., Sá, T. D. d. A., Vielhauer, K., Coelho, R.d. F. R., Fölster, H. (2004): Nutrient balance of shifting cultivationby burning or mulching in the Eastern Amazon–evidence forsubsoil nutrient accumulation. Nutr. Cycl. Agroecosys. 68,257–271.

Steiner, C., Teixeira, W. G., Lehmann, J., Zech, W. (2004a): MicrobialResponse to Charcoal Amendments of Highly Weathered Soilsand Amazonian Dark Earths in Central Amazonia – PreliminaryResults, in Glaser, B., Woods, W. I.: Amazonian Dark Earths:Explorations in Space and Time. Springer Verlag, Heidelberg,pp. 195–212.

Steiner, C., Teixeira, W. G., Zech, W. (2004b): Slash and Char: AnAlternative to Slash and Burn Practiced in the Amazon Basin, inGlaser, B., Woods, W. I.: Amazonian Dark Earths: Explorations inSpace and Time. Springer Verlag, Heidelberg, pp. 183–193.

Steiner, C., Teixeira, W. G., Lehmann, J., Nehls, T., Macêdo, J. L. V.d., Blum, W. E. H., Zech, W. (2007): Long term effects of manure,charcoal and mineral fertilization on crop production and fertility ona highly weathered Central Amazonian upland soil. Plant Soil 291,275–290.

Tiessen, H., Cuevas, E., Chacon, P. (1994): The role of soil organicmatter in sustaining soil fertility. Nature 371, 783–785.

Wardle, D. A., Zackrisson, O., Nilsson, M. C. (1998): The charcoaleffect in Boreal forests: mechanisms and ecological conse-quences. Oecologia 115, 419–426.

Yanai, Y., Toyota, K., Okazaki, M. (2007): Effects of charcoal additionon N2O emissions from soil resulting from rewetting air-dried soil inshort-term laboratory experiments. Soil Sci. Plant Nutr. 53,181–188.

2008 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim www.plant-soil.com

J. Plant Nutr. Soil Sci. 2008, 171, 893–899 Nitrogen retention with compost and charcoal 899

Page 242: Agricultural Applications for Pine-Based BioChar

2008 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim www.plant-soil.com

J. Plant Nutr. Soil Sci. 2008, 171, 893–899 DOI: 10.1002/jpln.200625199 893

Nitrogen retention and plant uptake on a highly weathered centralAmazonian Ferralsol amended with compost and charcoalChristoph Steiner1,2*, Bruno Glaser1, Wenceslau Geraldes Teixeira3, Johannes Lehmann4, Winfried E.H. Blum5, andWolfgang Zech1

1 Institute of Soil Science and Soil Geography, University of Bayreuth, 95440 Bayreuth, Germany2 Current address: Biorefining and Carbon Cycling Program, The University of Georgia, Athens, USA3 Embrapa Amazonia Ocidental, CP 319–69011–970 Manaus, Brazil4 Department of Crop and Soil Sciences, Cornell University, Ithaca, NY 14853, USA5 Institute of Soil Research, University of Natural Resources and Applied Life Sciences (BOKU), 1180 Vienna, Austria

AbstractLeaching losses of N are a major limitation of crop production on permeable soils and underheavy rainfalls as in the humid tropics. We established a field trial in the central Amazon (nearManaus, Brazil) in order to study the influence of charcoal and compost on the retention of N.Fifteen months after organic-matter admixing (0–0.1 m soil depth), we added 15N-labeled(NH4)2SO4 (27.5 kg N ha–1 at 10 atom% excess). The tracer was measured in top soil (0–0.1 m)and plant samples taken at two successive sorghum (Sorghum bicolor L. Moench) harvests.The N recovery in biomass was significantly higher when the soil contained compost (14.7% ofapplied N) in comparison to only mineral-fertilized plots (5.7%) due to significantly higher cropproduction during the first growth period. After the second harvest, the retention in soil was sig-nificantly higher in the charcoal-amended plots (15.6%) in comparison to only mineral-fertilizedplots (9.7%) due to higher retention in soil. The total N recovery in soil, crop residues, and grainswas significantly (p < 0.05) higher on compost (16.5%), charcoal (18.1%), and charcoal-plus-compost treatments (17.4%) in comparison to only mineral-fertilized plots (10.9%). Organicamendments increased the retention of applied fertilizer N. One process in this retention wasfound to be the recycling of N taken up by the crop. The relevance of immobilization, reduced Nleaching, and gaseous losses as well as other potential processes for increasing N retentionshould be unraveled in future studies.

Key words: biochar Brazil / carbon / nitrogen cycling / slash-and-burn / soil organic matter / Terra Preta

Accepted January 2, 2008

1 Introduction

The fertility of highly weathered Ferralsols in the tropics islow, and soil organic matter (SOM) plays a major role in sus-taining soil productivity. Thus, long-term intensive use is notsustainable without nutrient inputs where SOM stocks aredepleted (Tiessen et al., 1994). Due to low nutrient-retentioncapacity and high permeability of these soils, strong tropicalrainfalls cause rapid leaching of mobile nutrients such asthose applied with mineral N fertilizers (Hölscher et al.,1997a; Giardina et al., 2000; Renck and Lehmann, 2004).

To overcome these limitations of poor soil, low nutrient-reten-tion capacity and accelerated SOM decay require alternativesto slash-and-burn (the prevalent agricultural practice in thetropics) and alternative fertilization methods (Ross, 1993;Fernandes et al., 1997). Instead of burning, involving a quickrelease of nutrients (Kuhlbusch et al., 1991; Hölscher et al.,1997b; Giardina et al., 2000; Hughes et al., 2000) and CO2(Fearnside, 1997), fallow vegetation could be applied asmulch (Sommer et al., 2004), compost, or charcoal (Lehmannet al., 2002). Depending on the mineralization rate, organicfertilizers such as compost, mulch, or manure applicationsrelease nutrients in a gradual manner (Burger and Jackson,2003). This may be different for very recalcitrant organic addi-

tions such as charcoal. According to Duxbury et al. (1989)and Sombroek et al. (1993), it is important to separate effectsdue to OM per se (maintenance and improvement of waterinfiltration, water-holding capacity, structure stability, CEC,healthy soil-biological activity) from those due to its decompo-sition (source of nutrients).

Only relatively small amounts of charcoal are produced bythe traditional slash-and-burn technique. Charcoal representsonly 1.7% of the preburn biomass if a forest is converted intocattle pasture (Fearnside et al., 2001). Producing charcoal forsoil amelioration from aboveground biomass instead of con-verting it to CO2 through burning might be an alternative toslash-and-burn (Lehmann et al., 2002; Steiner et al., 2004b;Lehmann et al., 2006).

The existence of so-called “Terra Preta de Índio” (Indian blackearth) suggests that a human-induced accumulation of SOMcan be maintained over centuries (Sombroek et al., 1993).These soils are exceptionally fertile, and their productivity ismost likely linked to an anthropogenic accumulation of P andCa associated with bone apatite (Lima et al., 2002) and blackC (BC) as charcoal (Glaser et al., 2001).

* Correspondence: Dr. Ch. Steiner;e-mail: [email protected]

Page 243: Agricultural Applications for Pine-Based BioChar

The sustained fertility of charcoal-containing Terra Preta andthe frequent use of charcoal as a soil conditioner (Steineret al., 2004b) in Brazil provided the incentive to study theeffects of charcoal application on N cycling. Charcoal actedas an adsorber which reduced N leaching in previous potexperiments (Lehmann et al., 2002, 2003), and charcoaladditions proved to sustain fertility if an additional nutrientsource is given in a field trial (Steiner et al., 2007). Charcoalplus fertilizer improved plant growth and doubled grain pro-duction in comparison to the fertilizer without charcoal. Plantbiomass production sharply decreased within 1 y when onlymineral fertilizer was applied, but could be maintained for alonger period of time when OM was added. The authors pro-posed that charcoal can improve soil chemical, biological,and physical properties, but could not completely discern themechanisms of fertility enhancement (Steiner et al., 2007).

Stable isotopes such as 15N can serve as valuable tracers tostudy plant resource acquisition and as a means to understandhow plants interact with their abiotic and biotic environments(Dawson et al., 2002). Therefore, our objective was to comparethe effect of organic amendments such as charcoal and com-post on retention of 15N-labeled mineral fertilizer in a highlyweathered Ferralsol under humid tropical field conditions.

2 Materials and methods

2.1 Study location and experimental setup

The experiment was conducted within a larger field trial estab-lished 30 km N of Manaus, Amazonas, Brasil (3°8′ S, 59°52′ W,40–50 m asl) at the Embrapa-Amazônia Ocidental (EmpresaBrasileira de Pesquisa Agropecuaria) experimental researchstation. The natural vegetation is evergreen tropical rainforestwith a mean annual precipitation of 2530 mm (1971–1997) hav-ing its seasonal maximum between December and May, amean annual temperature of 25.8°C (1987–1997), and relativehumidity of 85% (Correia and Lieberei, 1998). The soil was clas-sified as a highly weathered Xanthic Ferralsol (FAO, 1990), fine-textured with high clay content. It is strongly aggregated and hasmedium contents of organic C (24 g kg–1), low pH values of 4.7(in H2O), low CEC of 1.6 cmolc kg –1, and low base saturation(BS) of 11% (Steiner et al., 2007).

This experiment is part of a long-term field trial established inJanuary 2001 (Steiner et al., 2007). The main objective wasto study different organic-amendment combinations based onequal amounts of C additions. Fifteen different treatmentswere established in five repetitions after clearing of approx.3600 m2 secondary forest and removing the abovegroundbiomass. The treatments were applied on 4 m2 plots (2 m × 2 m)forming an entire field area of 1600 m2 (45 m × 35 m) with aminimum distance to the surrounding vegetation of 10 m. Forthis study, five mineral-fertilized (F) treatments were chosen,four of them with compost (CO + F) and/or charcoal (CC + F)application (Tab. 1). The treatment receiving compost only(CO) served to provide a reference value for N isotope com-position in soil and plants. This treatment was used as a con-trol for all treatments as d15N did not differ between the treat-ments without tracer application [(NH4)2SO4 fertilized or not].

The charcoal derived from secondary forest wood and wasconsidered rather as soil conditioner than fertilizer due to thecharcoal’s low nutrient contents (Tab. 1). It was manuallycrushed to particle sizes <2 mm. The applied 11 Mg ha–1

corresponded to the amount of charcoal-C which could beproduced by a single slash-and-char event of a tropicalsecondary forest on Xanthic Ferralsols in central Amazonia(Lehmann et al., 2002). The amount of C added with charcoalwas chosen as a reference value for adding the compost.Compost was prepared from biomass of a secondary forest,fruit residues, manure, and kitchen waste. On February 3,2001, organic materials were mixed with hand hoes into thetop soil (0–0.1 m) of the plots, and the first mineral fertilizationwas done on March 19, 2001 [30 N kg ha–1 as (NH4)2SO4,35 kg P ha–1 as simple superphosphate, 50 kg K ha–1 as KCl,and 2100 kg lime ha–1]. The fields were cropped twice (riceOryza sativa L. and sorghum Sorghum bicolor L. Moench)prior the second fertilization on April 16 (see Tab. 1 for treat-ment description). All crop residues remained on the field,and only grains were removed. Sorghum was planted againon April 18, 2002 in a density of 25 plants m–2 producing twoharvests by ratooning (July 21 and October 16, 2002). Onlythese two harvests are subject of the present paper anddesignated as 1st (HI) and 2nd (HII) harvest.

2.2 Tracer application, sampling, and calculations

The chosen treatments (F, CC + F, CO + F, ½CC + ½CO + F,and CC + ½CO + F) received 15N isotope enrichment using15N-labeled (NH4)2SO4 with 10 atom% 15N excess. The tra-cer was mixed in a ratio 1:1 with conventional (NH4)2SO4 and

2008 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim www.plant-soil.com

Table 1: Treatments, organic amendments, and harvest remnants(from previous harvests remained in the field). Mineral fertilization (F)was applied after the second harvest in April 2002, 15N-labeled N(55), P (40), K (50), lime (430) [kg ha–1].

Token Organic matter 1stharvest(HI)remnantsa

2ndharvest(HII)remnantsa

Total

[Mg dry matter ha–1]

COb compost (67) 5.13 1.11 6.24

F 1.98 0.27 2.25

CO + F compost (67) 6.24 1.51 7.75

CC + F charcoal (11) 2.55 0.72 3.27

½CC + ½CO + F charcoal (5,5),compost (33,5)

4.74 1.10 5.85

CC + ½CO + F charcoal (11),compost (33,5)

4.28 1.10 5.38

F = mineral fertilizer; CO = compost; CC = charcoala previous harvests July 7, 2001 and February 6, 2002b unfertilized control treatment, reference value for 15N natural abun-dance;previous mineral fertilization: March 2001 [kg ha–1] N (30), P (35), K(50), lime (2100);compost contained 10.1, 0.73, 2.85, 3.27, and 1.51 g kg–1 N, P, K,Ca, and Mg, respectively;charcoal contained 5.39, 0.03, 0.23, 0.82, and 0.17 g kg–1 N, P, K,Ca, and Mg, respectively.

894 Steiner, Glaser, Teixeira, Lehmann, Blum, Zech J. Plant Nutr. Soil Sci. 2008, 171, 893–899

Page 244: Agricultural Applications for Pine-Based BioChar

applied at a rate of 55 kg N ha–1 in April 2002 (second fertili-zation). Additionally, 40 kg P ha–1, 50 kg K ha–1, and 430 kgha–1 of lime was applied. Soil and plant samples were takenat each harvest and analyzed for d15N. Only the top 0.1 m ofsoil was sampled, this was also the depth down to which theorganic amendments were mixed. Two soil samples weretaken per plot to form one composite sample. Soils were air-dried and ground before isotope analysis. Representativeplant samples were taken from the entire crop by using thecenter 1.4 × 1.4 m (49 plants) of each plot. Plant sampleswere dried at 70°C for 48 h and ground.

The remaining fertilizer N in soil or plant biomass was calcu-lated after Eq. 1 (Boutton, 1996).

Nf � d15Nf� Nf � d15Nc�Y � d15NNPK, (1)

Nf = nitrogen content of biomass or soil in N-fertilized treat-ment,

d15Nf = measured d15N value of biomass or soil in N-fertilizedtreatment,

d15Nc = measured d15N value of biomass or soil in unfertilizedcontrol treatment (only CO served as valid control treatmentas d15N did not differ between treatments without tracer appli-cation),

d15NNPK = d15N of (NH4)2SO4 10 atom% 15N excess(= 29330.3‰).

The amount of 15N remaining in soil or in plant biomass (Y)was calculated according to Eq. 2. The subtraction of d15Nc inthe denominator was neglected because it is small (approx.10 and 20 for soil and biomass, respectively) in comparisonto d15NNPK.

Y �Nf � d15Nf � Nf � d15Nc

d15NNPK. (2)

The percentage of N taken up by biomass or remaining in thesoil was calculated according to Eq. 3:

N% � YN�NH4�2SO4

� 100, (3)

where N(NH4)2SO4 = amount of tracer fertilized [27.5 kg ha–1

(NH4)2SO4 10 atom% 15N excess].

2.3 Analyses of soil and plant samples

Soil and plant samples were analyzed for their C and N con-tents by dry combustion with an automatic C/N-Analyzer (Ele-mentar, Hanau, Germay). Total N isotope composition in soiland plants was determined using an Elemental Analyzer(Carlo Erba NA 1500, Carlo Erba Reagenti, Rodano, Italy; forDumas combustion) connected to an isotope-mass spectro-meter (FINNIGAN MAT delta E; Thermo Finnigan, San JoseCA) via a split interface.

2.4 Statistical analyses

Treatment effects were analyzed by one-way analysis of var-iance (ANOVA). Significant treatment effects were detectedusing the Fisher’s LSD (last significant difference) test. Statis-tical analyses and figures were performed using SPSS 12.0(SPSS Inc.) and SigmaPlot 7.0.

3 Results and discussion

While the soil C contents were significantly increased by theorganic amendments (CO and CC), the N values were onlysignificantly enhanced in comparison to the F plots if CO wasapplied (Fig. 1). After the second harvest (HII), the N and Ccontents on solely compost-amended plots (CO) did not differfrom those receiving only mineral fertilizer. The OM-amendedand N-fertilized plots had significantly higher C and N con-tents than the F plots. All organic amendments significantlyincreased the C : N ratio after the first harvest. This differencewas even more distinct after the second harvest but only oncharcoal-containing plots (Fig. 1).

Neither the N concentrations in the biomass nor the mea-sured d15N values differed significantly (data not shown). Thesignificantly higher mineral N uptake by plants growing on thecompost-amended plots (CO + F) was due to a significantlyhigher plant biomass production (Tab. 2).

Wardle et al. (1998) found greater tree-seedling growth, Nuptake, and enhanced efficiency of nutrient uptake in borealforest soils when charcoal was added. The authors assumedthat adsorption of phenolics by the charcoal diminishedadverse effects on plant growth, both as allelopathic agents,and through complexing N, thus reducing its availability toplants. In our case, soil analyses indicate that other nutrientsthan N were more important to enhance plant growth leadingto N sequestration in biomass (Steiner et al., 2007). Thisassumption is corroborated by the study of Alfaia et al. (2000)who found only a 16% rice grain-yield increase due to(NH4)2SO4 fertilization, but significant losses of fertilized N.

In the soil, the situation was rather different. After the secondharvest (HII), significantly more fertilizer N remained in thesoil amended with charcoal (15.6% of applied N) than onplots without organic amendment (9.7%). The compost treat-ment showed intermediate values (12.6%) (Fig. 2). In the soil,the increased retrieval of N rather than higher total soil N con-tents caused the significantly enhanced N recovery. Onlyremaining crop residues could have caused the increase inencountered 15N from HI to HII. However, the treatment ½CC+ ½CO + F showed a much larger increase in soil 15Nencountered from HI to HII than the F treatment but hadslightly less crop-residue input (Tab. 2). Only the composttreatment (CO + F) generated significantly more crop residue15N than the control group but this additional residue returndid not significantly affect the soil 15N at HII.

At least to some extent the accrued crop residues after HIIadded to the soil’s N pool as shown by the shift in isotopevalues (data not shown) because soil sampling was done7–14 d after the harvest. Belowground biomass was not

2008 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim www.plant-soil.com

J. Plant Nutr. Soil Sci. 2008, 171, 893–899 Nitrogen retention with compost and charcoal 895

Page 245: Agricultural Applications for Pine-Based BioChar

assessed and can contribute significantly to N cycling as theroot biomass pool can be assumed to be at least half as largeas the aboveground biomass pool (Lacerda et al., 2004;Hattori et al., 2005). Lehmann and Zech (1998) found 30% ofsorghum roots in Kenya below 0.3 m. We sampled only theupper 0.1 m, thus N could have been recycled from deepersoil layers.

The significantly increased uptake of applied N by plants onplots with additional compost and the significantly higher Nretention in the soil due to charcoal additions may be explainedby either reduced N leaching (Lehmann et al., 2003) or reducedgaseous N losses (Yanai et al., 2007). Reduced N leaching maybe a result (1) of either improved retention of the applied NH�

4 byelectrostatic adsorption to exchange sites provided by the com-

2008 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim www.plant-soil.com

Figure 1: Contents of C and N in of the soilat the first (HI) and second harvest (HII). Theerror bars show the mean ± standard error.The Fisher’s LSD (least significant differ-ence) value is plotted to scale significantmean separation (p < 0.05).

Table 2: Biomass production, N uptake, and withdrawal (grains) at the first (HI) and second harvest (HII). Different letters in the same columnindicate significant differences (p < 0.05) between treatments (Fisher’s LSD test, n = 5).

HI HII HI HII

crop residues grains crop residues grains N residues N grains N residues N grains

Treatment [Mg dry matter ha–1] [kg ha–1]

F 1.38 b 0.28 c 0.50 c 0.14 c 11.3 c 4.7 c 4.9 b 2.3 c

CO 1.50 b 0.28 c 0.56 c 0.16 bc 19.8 b 5.8 c 7.5 b 3.2 bc

CO + F 2.69 a 0.96 a 1.17 a 0.80 a 29.8 a 15.5 a 13.1 a 12.6 a

CC + F 1.85 b 0.42 bc 0.72 bc 0.28 bc 17.3 bc 7.1 c 7.0 b 4.6 bc

½CC + ½CO + F 1.76 b 0.65 b 0.80 abc 0.33 bc 18.9 bc 11.8 ab 8.7 b 6.1 bc

CC + ½CO + F 2.08 ab 0.49 bc 0.97 ab 0.49 ab 19.7 b 8.1 bc 9.1 ab 8.5 ab

F = mineral fertilizer; CO = compost; CC = charcoalCrop residues remained in the field; mean C 44.8, N 9.97 g kg–1, C : N = 44.16; mean N content of grains = 16.9 g kg–1

896 Steiner, Glaser, Teixeira, Lehmann, Blum, Zech J. Plant Nutr. Soil Sci. 2008, 171, 893–899

Page 246: Agricultural Applications for Pine-Based BioChar

post or charcoal or (2) of immobilization of N by microbial bio-mass. Lehmann et al. (2003) made microbial immobilizationresponsible for decreases in foliar N contents and total N uptakeas a response to charcoal additions due to their higher C : Nratio. However, their pot experiment used larger amounts ofapplied charcoal (67.6 and 135.2 Mg C ha–1) than our study. TheC : N ratio in the soil studied here was found to be significantlyhigher in the charcoal treatments at both harvest times (Fig. 1)in comparison to the control. Decomposition of a portion ofnewly applied charcoal and concurrent N immobilization is mostlikely a transient phenomenon as charcoal is much more stablethan other organic additions (Baldock and Smernik, 2002). Inthe studied permeable soils under high-rainfall conditions,temporary immobilization of mobile nutrients might be desirable.The results of the 15N experiments by Burger and Jackson(2003) suggest a very dynamic role of microbially bound N andhighlight the importance of N immobilization that is taking placesimultaneously with inorganic-N production by mineralization.They concluded that greater C availability stimulates microbialactivity resulting in greater N demand, promoting immobilizationand recycling of NO�

3 . The resilience of soil C in charcoal-amended plots shows the refractory nature of charcoal (Kuhl-busch and Crutzen, 1995). While the stability of charcoal leadsto low C losses, nutrient release by mineralization is most likelylower than from other organic materials. As charcoal is expectedto be an extremely recalcitrant form of OM, it is unknown to whatextent charcoal C favors N immobilization. In previous studies,the same plots showed significantly increased plant growth andpotential for microbial-population growth in mineral-fertilizedsoils amended with charcoal and in Terra Preta, but lower micro-bial respiration in the absence of an easily degradable C source(glucose) compared to soils without charcoal (Steiner et al.,2004a, 2007). It has been shown that charcoal amendmentscan significantly enhance nitrification in pine-forest soils(DeLuca et al., 2006). The authors suggest that charcoal alters

the activity of the nitrifying community and removes inhibitingphenols. We could not elucidate alterations in nitrification and itspossible consequences for leaching and denitrification,although Birk (2005) found evidence that the organic amend-ments increased the presence of anaerobic bacteria which pos-sibly are denitrifiers. Dinkelmeyer et al. (2003) found a rapidlydecreasing total recovery (in plants and soil) of 15N (87% to 54%to 24% at 1, 3, and 12 months after N application, respectively),but they assessed a complex and deep-rooting agroforestrysystem to a soil depth of 5 m. They found a minimum of 13% N-fertilizer efficiency when applied to peach palm (Bactris gasi-paes) and a maximum of 38% if applied to cupuassu (Theo-broma grandiflorum). Alfaia et al. (2000) assessed N utilizationof a rice crop grown in central Amazona and found a N-fertilizerefficiency of only 7.8%, 10.0%, and 1% in shoot, grain, and rootbiomass, respectively. We found a maximum recovery in plantbiomass of 15% and total recovery of 22% 3 months after Napplication at HI. Already after 4 d, Renck and Lehmann (2004)found applied 15N in the soil solution to a depth of 0.6 m and to adepth of 5 m after 1 week at the same study site. They found thatthe largest part of applied 15N in the top soil was leached asorganic N. The total fluxes of organic N were similar to those ofNO�

3 in the topsoil. According to Lehmann et al. (2002), the NH�4

adsorbability of charcoal is largely dependent on soluble OM, asan addition of DOC from a manure extract increased NH�

4adsorption. Therefore charcoal might have reduced leaching oforganic N in addition to the inorganic forms. The organic amend-ments might likewise have altered denitrification but leaching ismost likely the predominant N loss in the studied soil and therelative proportion could not be clarified in this study.

The charcoal’s low biodegradability (Kuhlbusch and Crutzen,1995), low nutrient content (Ogawa, 1994; Antal and Grønli,2003), and high porosity and specific surface area (Braidaet al., 2003) makes charcoal a rather exceptional SOM con-

2008 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim www.plant-soil.com

Figure 2: Amount of mineral N fertilizerremaining in the soil (Ferralsol, a and b)and in the crop (sorghum, c and d) afterthe first (HI, a and c) and second harvest(HII, b and d) as a percentage. Meansand standard errors (p < 0.05, Fisher’sLSD test, n = 5).

J. Plant Nutr. Soil Sci. 2008, 171, 893–899 Nitrogen retention with compost and charcoal 897

Page 247: Agricultural Applications for Pine-Based BioChar

stituent. Terra Preta research has shown that oxidation onthe edges of the aromatic backbone and adsorption of otherOM to charcoal is responsible for the increased CEC, thoughthe relative importance of these two processes remainsunclear (Liang et al., 2006).

4 Conclusion

We conclude that both the higher retention of N in the soiland the increased uptake by biomass are responsible for thesignificantly enhanced N cycling in plots that received char-coal. Soil charcoal amendments improve the efficiency ofmineral N fertilizer.

Acknowledgments

The research was conducted within SHIFT ENV 45, a Ger-man–Brazilian cooperation and financed by BMBF, Germanyand CNPq, Brazil (BMBF No. 0339641 5A, CNPq 690003/986). A financial contribution was given by the doctoral scho-larship program of the Austrian Academy of Sciences. Weare grateful for the fieldworkers’ help particularly Luciana Fer-reira da Silva and Franzisco Aragão Simão and the laborato-ry technician Marcia Pereira de Almeida. Jago Birk helpedduring an internship on the field and in the laboratory.

References

Alfaia, S. S., Guiraud, G., Jacquin, F., Muraoka, T., Ribeiro, G. A.(2000): Efficiency of nitrogen-15labelled fertilizers for rice and rye-grass cultivated in an Ultisol of Brazilian Amazonia. Biol Fertil.Soils 31, 329–333.

Antal, M. J., Grønli, M. (2003): The art, science, and technology ofcharcoal production. Ind. Eng. Chem. Res. 42, 1619–1640.

Baldock, J. A., Smernik, R. J. (2002): Chemical composition andbioavailability of thermally altered Pinus resinosa (Red pine) wood.Org. Geochem. 33, 1093–1109.

Birk, J. J. (2005): Einfluss von Holzkohle und Düngung auf die mikro-bielle Zersetzergemeinschaft und den Streuumsatz in amazo-nischen Ferralsols. Master thesis (unpublished), University ofBayreuth, Germany.

Boutton, T. W. (1996): Stable carbon isotope ratios of soil organicmatter and their use as indicators of vegetation and climatechange, in Boutton, T. W., Yamasaki, S. (eds.): Mass Spectrometryof Soils. Marcel Dekker, New York, pp. 47–82.

Braida, W. J., Pignatello, J. J., Lu, Y. F., Ravikovitch, P. I., Neimark,A. V., Xing, B. S. (2003): Sorption hysteresis of benzene incharcoal particles. Environ. Sci. Technol. 37, 409–417.

Burger, M., Jackson, L. E. (2003): Microbial immobilization of ammo-nium and nitrate in relation to ammonification and nitrification ratesin organic and conventional cropping systems. Soil Biol. Biochem.35, 29–36.

Correia, F. W. S., Lieberei, R. (1998): Agroclimatological informationabout the experimental field of the SHIFT-area, ENV 23, 42, 45,52. Third SHIFT Workshop, Manaus. BMBF, Berlin, Germany,pp. 389–396.

Dawson, T. E., Mambelli, S., Plamboeck, A. H., Templer, P. H., Tu,K. P. (2002): Stable isotopes in plant ecology. Annu. Rev. Ecol.Syst. 33, 507–559.

DeLuca, T. H., Kenzie, M. D. M., Gundale, M. J., Holben, W. E.(2006): Wildfire-produced charcoal directly influences nitrogencycling in Ponderosa pine forests. Soil Sci. Soc. Am. J. 70,448–453.

Dinkelmeyer, H., Lehmann, J., Renck, A., Trujillo, L. Jr., J. P. d. S.,Gebauer, G., Kaiser, K. (2003): Nitrogen uptake from 15N-enrichedfertilizer by four tree crops in an Amazonian agroforest. Agroforest.Syst. 57, 213–224.

Duxbury, J. M., Smith, M. S., Doran, J. W., Jordan, C., Szott, L.,Vance, E. (1989): Soil Organic Matter as a Source and a Sink ofPlant Nutrients, in Coleman, D. C., Oades, J. M., Uehara, G.(eds.): Dynamics of Soil Organic Matter in Tropical Ecosystems.University of Hawaii Press, Honolulu, pp. 33–67.

FAO (1990): Soil map of the world, revised legend. FAO, Rome, Italy.

Fearnside, P. M. (1997): Greenhouse gases from deforestation inBrazilian Amazonia: Net committed emissions. Climatic Change.35, 321–360.

Fearnside, P. M., Lima, P. M., Graça, A., Rodrigues, F. J. A. (2001):Burning of Amazonian rainforest: burning efficiency and charcoalformation in forest cleared for cattle pasture near Manaus, Brazil.Forest Ecol. Manage. 146, 115–128.

Fernandes, E. C. M., Motavalli, P. P., Castilla, C., Mukurumbira, L.(1997): Management control of soil organic matter dynamics intropical land-use systems. Geoderma 79, 49–67.

Giardina, C. P., Sanford, R. L., Dockersmith, I. C., Jaramillo, V. J.(2000): The effects of slash burning on ecosystem nutrients duringthe land preparation phase of shifting cultivation. Plant Soil 220,247–260.

Glaser, B., Guggenberger, G., Haumaier, L., Zech, W. (2001): Persis-tence of Soil Organic Matter in Archaeological Soils (Terra Preta)of the Brazilian Amazon Region, in Rees, R. M., Ball, B. C.,Campbell, C. D., Watson, C. A.: Sustainable management of soilorganic matter. CABI Publishing, Wallingford, pp. 190–194.

Hattori, T., Inanaga, S., Araki, H., An, P., Morita, S., Luxová, M., Lux,A. (2005): Application of silicon enhanced drought tolerance inSorghum bicolor. Physiol. Planta. 123, 459–466.

Hölscher, D., Ludwig, B., Möller, R. F., Fölster, H. (1997a): Dynamicof soil chemical parameters in shifting agriculture in the EasternAmazon. Agr. Ecosyst. Environ. 66, 153–163.

Hölscher, D., Möller, R. F., Denich, M., Fölster, H. (1997b): Nutrientinput-output budget of shifting agriculture in Eastern Amazonia.Nutr. Cycl. Agroecosys. 47, 49–57.

Hughes, R. F., Kauffman, J. B., Cummings, D. L. (2000): Fire in theBrazilian Amazon 3. Dynamics of biomass, C, and nutrient pools inregenerating forests. Oecologia 124, 574–588.

Kuhlbusch, T. A. J., Crutzen, P. J. (1995): Toward a global estimate ofblack carbon in residues of vegetation fires representing a sink ofatmospheric CO2 and a source of O2. Global Biogeochem. Cycl. 9,491–501.

Kuhlbusch, T. A., Lobert, J. M., Crutzen, P. J., Warneck, P. (1991):Molecular nitrogen emissions from denitrification during biomassburning. Nature 351, 135–137.

Lacerda, C. F., Cambraia, J., Oliva, M. A., Ruiz, H. A. (2004): Influ-ência do cálcio sobra o crescimento e solutos em plântulas desorgo estressadas com cloreto de sódio. R. Bras. Ci. Solo. 28,289–295.

Lehmann, J., Zech, W. (1998): Fine root turnover of irrigatedhedgerow intercropping in Northern Kenya. Plant Soil 198, 19–31.

Lehmann, J., da Silva Jr., J. P., Rondon, M., Cravo, M. d. S.,Greenwood, J., Nehls, T., Steiner, C., Glaser, B. (2002): Slash andchar – a feasible alternative for soil fertility management in the

2008 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim www.plant-soil.com

898 Steiner, Glaser, Teixeira, Lehmann, Blum, Zech J. Plant Nutr. Soil Sci. 2008, 171, 893–899

Page 248: Agricultural Applications for Pine-Based BioChar

central Amazon? 17th World Congress of Soil Science, Bangkok,Thailand, The International Union of Soil Sciences, pp. 1–12.

Lehmann, J., da Silva Jr., J. P., Steiner, C., Nehls, T., Zech, W.,Glaser, B. (2003): Nutrient availability and leaching in an archaeo-logical Anthrosol and a Ferralsol of the Central Amazon basin:fertilizer, manure and charcoal amendments. Plant Soil 249,343–357.

Lehmann, J., Gaunt, J., Rondon, M. (2006): Bio-char sequestration interrestrial ecosystems–a review. Mitig. Adapt. Strat. Glob. Change.11, 403–427.

Liang, B., Lehmann, J., Solomon, D., Grossman, J., O′Neill, B.,Skjemstad, J. O., Thies, J., Luizão, F. J., Petersen, J., Neves, E. G.(2006): Black carbon increases cation exchange capacity in soils.Soil Sci. Soc. Am. J. 70, 1719–1730.

Lima, H. N., Schaefer, C. E. R., Mello, J. W. V., Gilkes, R. J., Ker,J. C. (2002): Pedogenesis and pre-Colombian land use of “TerraPreta Anthrosols” (“Indian black earth”) of Western Amazonia.Geoderma 110, 1–17.

Ogawa, M. (1994): Symbiosis of people and nature in the tropics.Farming Japan 28, 10–30.

Renck, A., Lehmann, J. (2004): Rapid water flow and transport ofinorganic and organic nitrogen in a highly aggregated tropical soil.Soil Sci. 169, 330–341.

Ross, S. M. (1993): Organic matter in tropical soils–Current condi-tions, concerns and prospects for conservation. Prog. Phys. Geog.17, 265–305.

Sombroek, W. G., Nachtergaele, F. O., Hebel, A. (1993): Amounts,dynamics and sequestering of carbon in tropical and subtropicalsoils. Ambio 22, 417–426.

Sommer, R., Vlek, P. L. G., Sá, T. D. d. A., Vielhauer, K., Coelho, R.d. F. R., Fölster, H. (2004): Nutrient balance of shifting cultivationby burning or mulching in the Eastern Amazon–evidence forsubsoil nutrient accumulation. Nutr. Cycl. Agroecosys. 68,257–271.

Steiner, C., Teixeira, W. G., Lehmann, J., Zech, W. (2004a): MicrobialResponse to Charcoal Amendments of Highly Weathered Soilsand Amazonian Dark Earths in Central Amazonia – PreliminaryResults, in Glaser, B., Woods, W. I.: Amazonian Dark Earths:Explorations in Space and Time. Springer Verlag, Heidelberg,pp. 195–212.

Steiner, C., Teixeira, W. G., Zech, W. (2004b): Slash and Char: AnAlternative to Slash and Burn Practiced in the Amazon Basin, inGlaser, B., Woods, W. I.: Amazonian Dark Earths: Explorations inSpace and Time. Springer Verlag, Heidelberg, pp. 183–193.

Steiner, C., Teixeira, W. G., Lehmann, J., Nehls, T., Macêdo, J. L. V.d., Blum, W. E. H., Zech, W. (2007): Long term effects of manure,charcoal and mineral fertilization on crop production and fertility ona highly weathered Central Amazonian upland soil. Plant Soil 291,275–290.

Tiessen, H., Cuevas, E., Chacon, P. (1994): The role of soil organicmatter in sustaining soil fertility. Nature 371, 783–785.

Wardle, D. A., Zackrisson, O., Nilsson, M. C. (1998): The charcoaleffect in Boreal forests: mechanisms and ecological conse-quences. Oecologia 115, 419–426.

Yanai, Y., Toyota, K., Okazaki, M. (2007): Effects of charcoal additionon N2O emissions from soil resulting from rewetting air-dried soil inshort-term laboratory experiments. Soil Sci. Plant Nutr. 53,181–188.

2008 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim www.plant-soil.com

J. Plant Nutr. Soil Sci. 2008, 171, 893–899 Nitrogen retention with compost and charcoal 899

Page 249: Agricultural Applications for Pine-Based BioChar

9/27/08 9:18 AMhttp://mail.google.com/mail/?ui=2&ik=1677caa948&attid=0.1&disp=vah&view=att&th=11ca234967c52991

Page 1 of 15

Introduction Introduction to the Pioneer Works of Charcoal Usesto the Pioneer Works of Charcoal Usesin Agriculture, Forestry and Others in Agriculture, Forestry and Others in Japanin Japan

Makoto Ogawa

Osaka Institute of Technology

IntroductionIntroduction

In Asian countries, the highly intensive agriculture has been popular since ancient days

because of high population density, limited arable field and rice plant cultivation. Therefore,various traditional cultivation techniques had developed in order to raise the productivity ofcrops. Any kinds of wastes, the excretions of human and live stocks, straw, leaf litter,grass、sewages and rice husk charcoal has been used as for the fertilizers and soilamendments not only in agriculture but also gardening or greening. Particularly wood ashcontaining some cinders was used as an important material for soil amendment and mineralsupply.

In Japan where the domestic supply of energy sources has been limited, the forest

resources, fire wood and charcoal were a most important energy source until the beginning of

20th century. Charcoal production and consumption increased depending on the increase ofpopulation and reached to the maximum, 2.7 million ton per year in 1947. It may be estimatedthat the wood, mainly broad leaved trees, of about 10 million ton was carbonized by thetraditional kiln at that time (1).

However, according to the rapid increase of the imported fossil fuels in 1960s, so called

“Fuel Revolution” progressed, and the productivity of charcoal decreased to the minimum,about 30 thousand ton per year in 1980s. The abrupt changes in the people’s daily life and therelations between human and forest caused the decrease of Matsutake mushroom,mycorrhizal fungus and the outbreak of pine wilting disease (2).

In 1970s, under such a circumstance, late Dr. Kishimoto S. and Sugiura G. who were the

experts of charcoal and wood vinegar production began the movement to make revive charcoaland to encourage the new use. In 1980 they published a book “Introduction to charcoalmaking on Sunday” (3) and distributed the knowledge of popular charcoal making and use.They contributed largely toward the present prosperity of charcoal business in Japan andAsia. The author, Ogawa M. and his colleagues started the studies on the utilization ofcharcoal in agriculture and forestry on their requests in 1980 and reported the effects of barkcharcoal on soy bean and pine tree in 1983 (4) (5).

Being encouraged by their activities and the extension of organic farming in Japan, the

application and studies of charcoal in agriculture began actively in 1980s. In 1986, “TechnicalResearch Association for Multiuse of Carbonized Materials” (TRA) was established by thefinancial support of Forest Agency, and the studies of new charcoal use launched beingparticipated with 13 private companies for 3 years. The studies on the effects of charcoal andwood vinegar were conducted covering the various fields; the improvement of carbonization

Page 250: Agricultural Applications for Pine-Based BioChar

9/27/08 9:18 AMhttp://mail.google.com/mail/?ui=2&ik=1677caa948&attid=0.1&disp=vah&view=att&th=11ca234967c52991

Page 2 of 15

technology, soil amendment in agriculture and greening, activation of microorganisms andwater purification. The research result with some general comments was published in 1990and widely distributed (6).

By the report, the effects of charcoal and wood vinegar were recognized in public and

authorized as a specific material of soil amendment by MAFF (Ministry of Agriculture,Forestry and Fishery) in1990. Contrary to the government expectation to raise the charcoalproduction in rural area, the cheaper charcoals which are imported from Southeast Asia beingproduced from coconut and oil palm shells has reached to the same amount with those indomestic. In this paper, only the publications written by Japanese are introduced, because it

seems to be unavailable in other countries.

1. Charcoal Utilization Charcoal Utilization in Agriculture and Gardeningin Agriculture and Gardening1. Rice husk charcoalRice husk charcoal

The oldest description on charcoal use in agriculture is found in a text book, “Nogyo Zensho(Encyclopedia of Agriculture)” written by Yasusada Miyazaki in 1697 (7). He described in it;“After roasting every wastes, the dense excretions should be mixed with it and stocked for awhile. This manure is efficient for the yields of any crops. It is called the fire manure”.Probably the similar knowledge had been popular in China and Korea since ancient time.

In Asian countries, the rice husk charcoal which can be carbonized by simple method in field

soon after harvesting has been one of the most common materials for soil amendment. Itseems that the rice husk charcoal has been used for several thousand years since thebeginning of rice cultivation in Asia, because rice husk with high content of silica is hardlydecomposed and unavailable for the manure.

The custom to use rice husk charcoal mixed with the excretions had spread among farmers

particularly in wheat cultivation until about 60 years ago. It seems to be reasonable, becausethe charcoal can absorb and keep chemical nutrients and deodorize the stench. However, thismethod was too popular to investigate for scientists, and so the roles of charcoal in agriculturehad been neglected for long time. After the information on wood charcoal use circulatedin1980’s, the roles of rice husk charcoal have been noticed in the research field of agriculture.

Recently Ezawa T. et al. (8) reported that rice husk and its charcoal enhanced A (arbuscular)

mycorhiza formation of some crop plants and improved the soil physical properties when eachof them was added into top soil. Ishii T. et al. (9) also reported the same effects on the Amycorrhiza formation of citrus seedlings. Komaki Y. et al. (10) suggested that a small amountof rice husk charcoal was effective on the growth of Catharanthus roseus, but the browning ofleaves appeared with the excessive application because of high concentration of potassiumand higher pH than wood charcoal. Takagi K. et al. (11) proposed a practical method to reducethe outflow of pesticides and herbicides from paddy field utilizing the absorbing ability of ricehusk charcoal. Also he tried to fix the bacteria with high decomposing ability of pesticide intorice husk charcoal and succeeded to reduce the outflow from golf course (12).

 At present, the carbonizing method has developed from the traditional method to thesophisticated facility equipped at the rice mill. Dried rice husk can be carbonized

Page 251: Agricultural Applications for Pine-Based BioChar

9/27/08 9:18 AMhttp://mail.google.com/mail/?ui=2&ik=1677caa948&attid=0.1&disp=vah&view=att&th=11ca234967c52991

Page 3 of 15

automatically and continuously in the self-burning kiln and the extra heat is utilized for smallscale power generation (13). Recently the facility and system have been exported to SouthEast Asia by the company. Probably it is possible to apply to the wheat and barley husks andother crop plant residues.

In Asian countries, the studies of charcoal use in agriculture have been mostly carried out by

JICA experts. In Indonesia, Igarashi T. started the experiment to produce the rice huskcharcoal with simple method and to cultivate soy bean and maize with the charcoal in 1989(14). Igarashi T. et al. (15) applied the charcoal together with magnesium phosphate and limerespectively and tried to rotate soy bean with maize. The charcoal application enhanced rootnodule formation, plant growth and the yields significantly. The effect was sustained also inthe second crop of maize without any supply of fertilizers, and the after effect was observed up

to 10th rotation. In particular, the growth and yield of maize treated with the charcoal weremore than that in the control plot cultivated only by chemical fertilizer. He also tried to applythe charcoal in several areas with different soil condition and reported that the effect seemedto be different from the soil properties and the kind of crops (16). Since the publication ofexperiment results, charcoal use is advancing in Indonesia.

In Thailand, Oka H. et al. (17) studied the effects of rice husk charcoal on the growth, yield

and nitrogen fixation rates of soy bean which was planted in the infertile sandy soil. Hereported that the amount of upper ground biomass, root, soy bean yield and the rate ofnitrogen fixation in soil increased significantly. In field, the application of 10 ton per hectarewas most efficient, and the effect appeared evidently in the second crop of sorghum and thethird of soy bean. The soil physical properties, porosity, water holding capacity, pH and CECwere also improved, although the values were different depending on soil type.

In Philippine, Noguti A. et al. (18) confirmed the effect of rice husk charcoal on the growth of

beans in an infertile acidic red soil. In this experiment the rice husk charcoal of 2.5 t / ha andlime of 1.5 t/ha were applied and mixed with top soil 15 cm in depth, chemical fertilizer wasapplied and the root nodule bacteria inoculated. The number of root nodule and nitrogenfixing rates increased in the plot with lime, but it was more stimulated evidently by theaddition of charcoal. The inoculation of root nodule bacteria and the application of rice huskcharcoal induced the same effect with single use of lime. It seems to be meaningful

economically in Philippine where the use of lime is rather costly for farmers.

2) Wood and bark 2) Wood and bark charcoalcharcoal

In 1983, Ogawa M. et al. (4, 5) reported that the bark charcoal powders containing a smallamount of chemical fertilizers were efficient for the mycorrhiza formation of pine tree and theA mycorrhiza and root nodule formations of soy bean plant. In the experiment of soy beanplant (19), the bark charcoal of broad leaved tree was mixed with 1 % (W / W) of the inorganicfertilizer (N: P: K (8: 8: 8)), urea, super lime phosphate, ammonium sulfate and oil cakepowder respectively. These charcoal fertilizers were stocked for one week and scattered oversoil surface at 500 g / m2 and 1500g / m2 each before plowing. Soy bean seedlings without rootnodules were planted in each plot. The plots in which applied the inorganic chemical fertilizer,100 g / m2 and 200 g / m2 and the control plot without any treatments were set to compare theefficiency.

Page 252: Agricultural Applications for Pine-Based BioChar

9/27/08 9:18 AMhttp://mail.google.com/mail/?ui=2&ik=1677caa948&attid=0.1&disp=vah&view=att&th=11ca234967c52991

Page 4 of 15

Soy bean yields which were harvested from the plots with charcoal fertilizers of 500 g / m2

were mostly equal to those from the plots with 100 and 200 g of chemical fertilizer. By thismethod the amount of chemicals could be saved remarkably to 1/20. Root nodule formationwas stimulated by charcoal fertilizers, but it was suppressed by the ones with ammoniumsulfate and synthetic chemical fertilizer. A mycorrhiza infection rates and the spore numbersincreased in the plots treated with charcoal fertilizers. It seems that the better growth of soybean plants resulted from the enhanced root growth and propagation of symbioticmicroorganisms being activated by the charcoal0..

The soil microbial flora in each plot changed with the application of charcoal fertilizers.

Charcoal fertilizers with higher pH than 8 inhibited the propagation of soil fungi, butenhanced that of bacteria and Actinomycetes soon after the treatment and then returned tothe normal state gradually. It was prospected that the emission of carbon dioxide increasedtemporarily being caused by the high microbial activity. At the same time, the free livingnitrogen fixing bacteria could be isolated on the nitrogen free medium. From the inoculationtest of the charcoal which was sterilized and buried in soil for a week, it was certain that thecharcoal became the habitat for root nodule bacteria (19).

The charcoal which was carbonized under high temperature is usually alkaline and porous

substance, and there is no substrate for saprophytic microorganisms. When the charcoal wasadded into soil, at first the plant root grows toward the charcoal with enough water and air.Next some microorganisms which can endure under high alkalinity can propagate in oraround charcoal. It seems that the charcoal provides a better habitat for the root andsymbiotic microorganisms.

These research results were confirmed also in the TRA. Wood charcoal was efficient toimprove the soil properties, but the mixtures with chemical fertilizers, zeolite, wood vinegarand organic fertilizer exhibited the better effects than charcoal itself on tea plant, citrus andvegetables (20), rice plant and apple tree (21) and some leguminous plants and grass forgreening (22).

It was found that root nodule bacteria could be immobilized with high frequency in the white

and hard charcoal with fine pores. So, Takagi S. (23) proposed the method to make theinoculum of root nodule bacteria of leguminous plants utilizing the charcoal. On the otherhand, A mycorrhizal fungi showed the better growth on black charcoal which was carbonizedat 400-500 degree Celsius. The spore of Gigaspora margarita was formed in black volcanic soilwith high carbon content (24). The application of wood charcoal to the plant associated withFrankia was effective also for the actinorhiza formation (25). In general, it is certain fromthese results that the white charcoal with the fine pore and high pH is suitable for theimmobilization of bacteria and the black one for that of fungi. After the study of TRA OohiraT. et al. (26) reported that the oak charcoal with finer pores than that of pine was suitable forthe immobilization of bacteria and Actinomycetes than that of pine. Meanwhile, theimmobilizing ability of pine charcoal could be improved by mixing of acetic acid. Matsubara Y.et al. (27) reported that coconut shell charcoal and the inoculation of A mycorrhizal fungi wereeffective to suppress the infection of soil born pathogen Fusarium spp..

The research results of charcoal use in various fields were distributed not only in Japan but

also in Asian countries mainly by Ogawa M. (28) (29) (30).

Page 253: Agricultural Applications for Pine-Based BioChar

9/27/08 9:18 AMhttp://mail.google.com/mail/?ui=2&ik=1677caa948&attid=0.1&disp=vah&view=att&th=11ca234967c52991

Page 5 of 15

3) Charcoal compost 3) Charcoal compost and wood vinegarand wood vinegar

  In Japan, the compost making from litter and excretions and its use has been verycommon for long time. Ash or carbonized material was an essential material to accelerate thedecomposition stimulating the bacterial activity and to neutralize the acidity. It is also wellknown that the charcoal absorbs smell and liquid.

In 1980s, a private company invented the method to produce charcoal compost which wasmade from fresh chicken dung and palm shell charcoal tip (31). In the process of compostmaking, the more the charcoal is used, the faster the decomposition progresses withexothermic reaction. Under aerobic condition Bacillus group became dominant and producesantibiotics. Kobayasi (32) reported that these antibiotics inhibited the growth of some soilborn pathogens, Pythium, Rhizoctonia, Phytophtra and Fusarium and were effective tosuppress root diseases of various plants. At present the charcoal compost (Haipuro) has beensold as a biological fungicide by the company. Following this instance, various kinds of organiccomposts have been produced from other livestock excretions and charcoal and sold in market.

It had been also well known that the liquid flowing out of charcoal kiln was useful. Actually ithad been used in forestry nursery bed as a pesticide and at road side as a herbicide. KishimotoS. et al. (33) published a text book in which they recommended the utilization of wood vinegarin agriculture, forestry, animal husbandry and food processing describing the methods for thepurification, distillation and filtration.

Wood vinegar is a byproduct which is obtained from the carbonization process cooling the

smoke by air or water. This liquid contains the volatile substances emitted with pyrolysis;water soluble fraction is wood vinegar and the oily one is wood tar. The chemical compositionis different depending on raw materials. Major components of broad leaved trees are 81 %water, acetic acid 8-10 %, methanol 2.44 %, acetone 0.56 % and soluble tar 7 %, and that ofconifers are rich in water, acetic acid 3.5 % and the others concentrations are lower than thatof broad leaved trees (34). The chemical components of wood vinegar containing many organicsubstances are unstable, so it has been sold as the material complex.

It has been recognized since 1960s that the wood vinegars extracted from broad leaved trees

are more efficient for the growth and rooting of various plants than that of conifers. Theeffects were confirmed also in the study of TRA (35) (36) (37). The concentrated liquid of woodvinegar with strong acidity shows the effects to kill microorganisms, plants and some larvae,but the diluted one to stimulate rooting, plant growth and microbial propagation. There aremany reports of the application in field practice and generally the effects have been wellknown by users, but there are a few available scientific reports on the mechanisms because of

the chemical property.

2. 2. Utilization in Forestry and GreeningUtilization in Forestry and Greening

1. Rehabilitation Rehabilitation and reforestation of trees and pine forest by and reforestation of trees and pine forest by charcoal andcharcoal and

mycorrhiza mycorrhiza

Page 254: Agricultural Applications for Pine-Based BioChar

9/27/08 9:18 AMhttp://mail.google.com/mail/?ui=2&ik=1677caa948&attid=0.1&disp=vah&view=att&th=11ca234967c52991

Page 6 of 15

In 1980, Ogawa et al. (38) tried to apply the bark charcoal powders with a small amount of

chemical fertilizers and succeeded to promote the growth of pine, Pinus thunbergii andcultivate the mycorrhizal fungi, Rhizopogon rubescens which is a dominant mycorrhizalspecies in the young stand with infertile basic sand

Some chemical fertilizers, urea, ammonium sulfate, super lime phosphate and synthetic

chemical fertilizer, were added to bark charcoal powder with 0.1-1.0% (W / W) respectively.These materials were buried into the trenches 30 cm in depth and width after cutting the rootsand covered by sand. The regenerated fresh roots grew inside the charcoal layers vigorouslyafter 3 months and the mushrooms appeared abundantly along the trenches 9 months later.After a year, the amounts of pine root and mycorrhiza increased remarkably in the charcoallayers. In addition, the growth of shoots and the color of needles became better than beforetreatment. These apparent effects probably resulted from the regeneration of root and theformation of mycorrhiza. It might be caused from the enhanced nutrient uptake and the waterabsorption through mycorrhiza. The water content in the charcoal was eminently higher andit was kept 40 % even in mid summer comparing with 5 % outside the charcoal layer (39).

After releasing the experiment result the similar phenomena were confirmed by many

researchers in local forest experiment stations, because it is an edible mushroom in Japan.For example Hirasa T. (40) devised the growing method of seedling with the mycorrhiza andthe cultivation method in field.

The same method has been widely accepted by professional gardeners and applied to variouskinds of tree species to make revive the famous trees in shrine, temple and park. Usually thecharcoal powder, maximum 1 cm in diameter, has been buried into trench or hole togetherwith a small amount of phosphate fertilizer and the spores of suitable mycorrhizal fungi tohost plant. Sometimes the root system was exposed removing top soil and covered by charcoalpowder as well. Also in nursery, the charcoal fertilizer is mixed with pot soil to improve soilproperties and inoculate the mycorrhizal fungi (41).

Both pine wilting disease by the insect and nematode and oak wilting by the insect and fungihave been spreading mainly in western Japan for several decades, and now it has become soserious problem in forestry. Pinus densiflora forest in low land mostly disappeared in thesouthwest and reaches to northern most area of Honshu. Pinus thunbergii forest which hadbeen planted along the seacoast to prevent natural disasters was also declining. Therefore, thepractical methods of the rehabilitation and reforestation of pine forest have been expectedeagerly in rural areas.

Mycorrhiza formation is essential to Pinus species which generate the forests as a pioneerplant at the dry site with infertile soil. These fungi also prefer to propagate in dry and infertilesoil condition. Therefore, it has been well known through the ecological study of pine forest (2)that the man-made pine forest should be kept at the primary stage of plant succession bycutting all of under shrubs and raking out the litter layer.

Ogawa M. proposed to rehabilitate and reforest the coastal pine forest using charcoal andmycorrhizal fungi publishing a monograph (41). In the established forest, the same methodsdescribed previously have been applied. Meanwhile, in the place from which all of pine treeentirely destroyed, the under shrubs and top soil are completely removed before planting.

Page 255: Agricultural Applications for Pine-Based BioChar

9/27/08 9:18 AMhttp://mail.google.com/mail/?ui=2&ik=1677caa948&attid=0.1&disp=vah&view=att&th=11ca234967c52991

Page 7 of 15

Then pine seedlings with the inoculated mycorrhizal fungi, Rhizopogon, Pithoritus, Suillusspecies, are planted together with the charcoal powder. The survival rates of these seedlingswere much higher than that without mycorrhiza and charcoal.

As such a trial, growing tree and burying charcoal, seems to be one of the practical methodsfor carbon sequestration, Ogawa M. and his colleagues have promoted the movement to makerevive “White Sand and Green Pine” which is one of the symbolic scenery of Japan in order to

contribute the prevention of natural disasters and the countermeasure for global warming.

2) Rehabilitation 2) Rehabilitation of tropical rain forest and forestation in semiarid of tropical rain forest and forestation in semiarid regionregion

Ogawa M. who was working in the rehabilitation project of tropical rain forest in 1989 foundthat a dominant species, Dipterocarpaceae, forms the ectomycorrhiza with several fungalspecies among which Scleroderma columnare enhanced the seedling growth efficiently innursery. He tested the effect of charcoal powder on the growth of Shorea species and foundthat the small amount of charcoal 2 % in volume was effective to stimulate the mycorrhizalformation and the growth (42). Kikuti J. and M. Ogawa (43) devised the practical inoculationmethod in which several saplings with the mycorrhiza were planted inside the nursery bedand the pots were set under the canopy. By this method the mycelium of mycorrhizal fungipenetrates through holes of the pot and naturally infected. Mori S. et al. (44) found the ricehusk charcoal is also effective and established the more convenient method. Rice huskcharcoal is not so harmful even if it was added too much.

The nursery technique to inoculate the mycorrhizal fungi with charcoal was also used in theforestation project of pine in northern China and obtained the successful results (45). Thematerial such as charcoal which has higher water holding capacity is efficient to stimulate therooting and to supply water to the root through mycorrhiza even under severe dry condition. Itcan be expected the charcoal will be used in dry land farming like date palm plantation and

the greening to stop the desertification (46).

3. Utilization of charcoal Utilization of charcoal and wood vinegar in animal husbandryand wood vinegar in animal husbandryand fisheryand fishery

Charcoal powder had been commonly used to cure the intestinal disorders of animals. In

1980s the utilization of charcoal and wood vinegar extended into the fields of animalhusbandry and the fish aquaculture. One of the wood vinegar makers invented in 1970s thetablet of charcoal powder containing wood vinegar and sold as a medicine of live stocks beingformally recognized MAFF (33). When animals take the drug with the feed, it is said that thequality of meat, fat and egg can be improved being affected with the high activity of intestinalmicroorganisms (47). Recently the use for pig and poultry increased to avoid the antibioticsand to prevent the epidemics.

In general, charcoal powder has the strong ability to absorb the smell of excretions and

liquid. Especially the charcoal carbonized under lower temperature than 300 degree Celsiusshows the strong adsorption of ammonium (48). The mixture of charcoal and wood vinegar hasbeen used in barn as the deodorant and absorbent of liquid. It seems that these effects resultfrom the complex reactions of charcoal and wood vinegar, but there is a few available scientific

Page 256: Agricultural Applications for Pine-Based BioChar

9/27/08 9:18 AMhttp://mail.google.com/mail/?ui=2&ik=1677caa948&attid=0.1&disp=vah&view=att&th=11ca234967c52991

Page 8 of 15

data (33).

The material containing wood vinegar also is used in the aquaculture of eel and fish to keep

water clean (33). Sometimes high quality charcoal which is carbonized under highertemperature has been also used for water purification in the fish tank. From experiences it issaid that fish likes to spawn around the charcoal, probably because some algae propagate on

the wood charcoal and carbon fiber

4. Trials of carbon sequestration Trials of carbon sequestration by charcoal use in agricultureby charcoal use in agricultureand forestryand forestry

1. Developing Developing charcoal industrycharcoal industry

In 2000, the fundamental law concerning to the establishment of recycling social system was

enacted in Japan, and it was acquired to reuse any wastes as much as possible. Particularlythe incineration of waste woods was prohibited in order to reduce the discharge of CO2 anddioxin. The total amount of waste woods mainly from construction has reached to 4.6 millionton per year, but the domestic use is only 60 % still now. Therefore, some constructioncompanies have switched from the incineration to the carbonization and intended to use thecharcoal not only in agriculture but also for the humidity control of house and building,because it is necessary to reduce the high humidity of traditional wooden building in Japan.

The function of charcoal for humidity control was studied intensively for several decades ago

(49) (50). Recently the construction companies have begun to spread the charcoal bag not onlyover the under floor but above the ceiling (51). Meanwhile it was also reported that thetreatment was efficient to reduce an asthma and atopic dermatitis by diminishing thepopulation of molds and tick (52) (53).

According to the development of charcoal utilization, carbonization technology is developing

from the simple kiln to the automatic mass production facilities. The newly devisedcarbonizers including various kinds of movable batch type kiln, rotary kiln, swing kiln and etchas been sold for the mass production of waste wood charcoal. In some cases the extra gas hasbeen used for thermal electric power generation. At the same time, the studies to establish theindustrial standards and function of carbonized materials have started, and the charcoal

industry begins to be renewed in 2000s.

2. New materials of charcoalNew materials of charcoal

Recently the raw materials of charcoal are ranging from waste woods to some flammable

substances. Among them the carbonization of bamboo and its utilization has been widelynoticed as one of the dealing methods of bamboo forest which is recently occupying the wideranges in southwest Japan. Bamboo charcoal with somewhat different structure and functionsfrom wood charcoal has been used for the purification of water and air.

Up to several years ago, all of garbage from urban life had been burned in the incinerationplant, but now some cities began to carbonize the garbage and try its utilization. But there aresome problems to be solved, because the water content is usually so high that it consumes too

Page 257: Agricultural Applications for Pine-Based BioChar

9/27/08 9:18 AMhttp://mail.google.com/mail/?ui=2&ik=1677caa948&attid=0.1&disp=vah&view=att&th=11ca234967c52991

Page 9 of 15

much energy for desiccation, and some products are unsuitable for agricultural use because ofthe high concentration of heavy metals and salt (54). Therefore, the thermal electric powerplants have tried to burn the garbage charcoal mixing with coal and oil (55). The wastesdisposed from food processing and live stock excretions have been also carbonized and used in

agriculture with compost (55).

3) 3) Carbon Sequestration by Forestation and Carbonization (CFSC)Carbon Sequestration by Forestation and Carbonization (CFSC)

On January 8 in 1991, Ogawa M. puts forward a new idea “The earth’s green saved withcharcoal” writing an article in Nihon Keizai Shinbun (Nikkei). He described in this paper theoutline of this concept; The carbon dioxide emitted into air can be fixed by photosynthesis intothe planted tree; If the waste wood will be carbonized and used in agriculture and other fields,a vast amount of carbon will be stocked for long term in soil, and at the same time thesustainable production of crops and trees will be realized.

In 1990s it has been recognized gradually in Japan that the carbonization are meaningful as acounter measure against global warming through the production of renewable energy and theuses for soil amendment in agriculture. However, the raw materials of carbonization in thisproject must be restricted only the plant residues, because it induces large scale deforestationas well as other biomass energy productions.

After COP3, Ogawa M. (56) (57) proposed the idea “Carbon Sequestration by Forestationand Carbonization (CSFC Project)” in Japan and Asia. In Indonesia and Malaysia, the largescale plantations of Acacia mangium for paper pulp and that of oil palm for biomass energyare expanding after clear cutting of the natural forests. Fast growing species in monoculturehas been cut in rotation of every 8 to 10 years, and still now the slash burn fields are alsospreading in wide area. The sustainability of tree plantation and cropland in tropical regionhas always become very serious problem. It needs to develop the more efficient techniques forsoil amendment to sustain the high productivity. It is certain that the charcoal use is one ofthe most reliable and low-cost procedures being harmonized the nature. The same opinion wasproposed in the review written by Glaser B. et al. (58).

If charcoal is easily weathered in field, the idea may be meaningless. But it has been actually

exhibited that the charcoal has remained for one thousand years or more without weatheringat the ruin of ancient coin studio and in the old tombs in Japan and Korea.

After the observation of stability in sulfuric acid, sodium hydrate or under ultra violet lightfor short term (personal communication), Kawamoto K. et al. (59) examined the durability ofwood charcoal against ozone and estimated the half-life of the charcoal in air. The weight ofsaw dust charcoal carbonized at 400ºC was not affected with 8.5% ozone, while the one done at1000ºC burned with 4.9% ozone. There were observed minute pores on the surface of charcoalcarbonized at 1000ºC. The half-life of charcoal which was carbonized at 1000ºC and treated byozone in air was about 50,000 years. From these results it is suggested that wood charcoal isstable on a geological time scale.

On the other hand, Yamato M. et al. (60) reported the changes in soil chemical propertiesand the crop yields when the bark charcoal of Acacia mangium, which was made of waste frompulp industry, was applied as soil amendment for the cultivation of maize, cowpea and peanut

Page 258: Agricultural Applications for Pine-Based BioChar

9/27/08 9:18 AMhttp://mail.google.com/mail/?ui=2&ik=1677caa948&attid=0.1&disp=vah&view=att&th=11ca234967c52991

Page 10 of 15

in Sumatra, Indonesia. The yields of maize and peanut significantly increased after theapplication of bark charcoal under the fertilized condition in an infertile soil. The amount ofroot and the colonization rate of A mycorrhiza increased especially in maize. The applicationof charcoal improved the soil chemical properties by neutralizing soil pH and increasing totalnitrogen, available phosphate contents, cation exchange capacity, amount of exchangeablecations and base saturation. Moreover, it induced the decreasing of exchangeable Al ion whichseems to be harmful for the root growth. The effects of charcoal application appeared moreevidently in tropical region than those in Japan. Root nodule formations of leguminous plantswere also stimulated by charcoal.

Formerly it was reported that the population of free living nitrogen fixing bacteriaincreased around the charcoal buried in tropical soil (28). Probably a small amount of nitrogenseems to be accumulated into soil by charcoal application also in slash burn cultivation.

According to these results in Indonesia, the feasibility study of CSFC project was conducted

with the existing project of an industrial plantation and pulp production by Okimori Y. et al.(61) in Indonesia Sumatra as an example of Clean Development Mechanism (CDM) project. Itwas prospected that a total of 368,000 t / year of biomass residue and waste which weredisposed from plantation and pulp mill could be transformed into charcoal of 77,000 t / year, ifconventional charcoal producing methods are used. It was also expected that the carbonemission reduction by the project reaches to 62,000 t-C / year (or 230,000 t-CO2). In addition,this project can contribute to local economy providing the employment chance for 2,600people, and will make realize the sustainable industrial plantation by soil amendment withcharcoal.

A similar trial was conducted also in Indonesian JICA project as a small scale example, andthe research result was reported by JICA (62). In this project it was confirmed that theapplications of charcoal were efficient both for the seedling growth of Acacia and the treegrowth in field.

In Western Australia, the multipurpose project of mallee eucalyptus plantation has beencarried out by Oil Mallee Company and Shea S. (63) in order to prevent the salinization ofarable soil. Another feasibility study of the project was conducted by Ogawa M. et al. (64) inWest Australia joining to the existing project. They proposed to carbonize wood waste and touse the charcoal for soil amendment in wheat field. In this study, it was prospected that thetotal carbon sink would reach 1,035,450 Mg-C with 14 % by aboveground biomass, 33.1 % bybelowground biomass and 52 % by charcoal in soil, if the plantation will be kept for 35 years.Meanwhile, the effects of eucalyptus charcoal on the growth and yield of wheat were evidentlyconfirmed by Paul J. (in printing).

The feasibility study of carbon sequestration in which various kinds of waste wood out ofconstruction, saw mill, trimmed branch and others were recycled by carbonization wasconducted by RITE (Research Institute of Environment and Industry) as summarized in theprevious paper(64). It was focused on the effective use of surplus heat from a garbageincinerator for carbonizing woody materials. It was prospected from the study that the wastewood of 936.0 Mg-C / year would be converted into the net carbon sink of 298.5 Mg-C / year bycarbonization, with the fixed carbon recovery of the system being 31.9 %.

Page 259: Agricultural Applications for Pine-Based BioChar

9/27/08 9:18 AMhttp://mail.google.com/mail/?ui=2&ik=1677caa948&attid=0.1&disp=vah&view=att&th=11ca234967c52991

Page 11 of 15

The life cycle assessment has been conducted also in Japan on the case of carbonization of

waste wood and the use of charcoal for construction and greening. By this study it wascertified that the CSFC project is significant and useful for carbon sequestration also incarbon and energy balance (unpublished).

From these research results, it is expected that CSFC project will be recognized as aconcrete, easy and low cost counter measure when the global warming will intensify moreseriously in the near future. Today the charcoal uses in various fields are extending throughthe release of technical informations, and the charcoal production industry is growing as one

of environment businesses not only in Japan but also among Asian countries.

Literature citedLiterature cited

1. Matsutake Kenkyu Konwakai ed. (1982) “How to Cultivate Matsutake in Field” pp. 158

Soobun, Tokyo (in Japanese)

2. Ogawa M. (1978) “Biology of Matsutake” pp.333 Tsukiji Shokan, Tokyo (in Japanese)

3. Kishimoto S. & G. Sugiura (1980) “Introduction to Charcoal Making on Sunday” pp. 250

Sougou Kagaku Shuppan Tokyo (in Japanese)

4. Ogawa M., Y. Yambe & G. Sugiura (1983) Effects of charcoal on the root nodule

formation and VA mycorrhiza formation of soy bean. The Third International

Mycological Congress (IMC3) Abstract: 578

5. Ogawa M., Y. Yambe & G. Sugiura (1983) Cultivation of the hypogenous mushroom,

Rhizopogon rubesscens. IMC3 Abstract: 577

6. Technical Research Association for Multiuse of Carbonized Materials(TRA) ed. (1990)

“The Research Report on The New Uses of Wood Charcoal and Wood Vinegar” Technical

Research Association for Multiuse of Carbonized Materials Tokyo pp. 374 (in Japanese)

7. Miyazaki Y. (1697) “Nougyouzennsho (Encyclopedia of Agriculture)” Vol. 1 1, 91-104 in

“Nihon Nousho Zenshu” Vol. 1212 (revised edition) Nousangyoson Bunka Kyokai, Tokyo

(in Japanese)

8. Ezawa T. et al. (2002) Enhancement of the effectiveness of indeginous arbuscular

mycorrhizal fungi by inorganic soil amendments. Soil Sci. Plant Nutr., 4848(6):897-900

9. Ishii T. & K. Kadoya (1994) Effects of charcoal as a soil conditioner on citrus growth and

VA mycorrhizal development. J. Japan, Soc. Hort. Sci. 6363(3):529-535

(10) Komaki et al. (2002) Utilization of chaff charcoal for medium of flower bed seedlingsand its effect on the growth and quality of Madagascar periwinkle (Catharanthusroseus) seedlings. Japan. Soc. Soil Sci. Plant Nutr., 7373(1):49-52 (in Japanese)

(11)Takagi K. & S. Takanashi (2003) Development of a technique for reducing herbiciderunoff from paddy field using PCPP-1 model and rice husk charcoal powder. Proceedings

3rd international Conference on Contaminants in the Soil Environment in theAustralasia –Pacific Region: 50 Beijing China

(12)Takagi K. & Y. Yoshida (2003) In situ bioremediation of herbicides simazine-

Page 260: Agricultural Applications for Pine-Based BioChar

9/27/08 9:18 AMhttp://mail.google.com/mail/?ui=2&ik=1677caa948&attid=0.1&disp=vah&view=att&th=11ca234967c52991

Page 12 of 15

polluted soils in a golf course using degrading bacteria –enriched charcoal. ProceedingsInternational Workshop on Material Circulation through Agro Ecosystems in East Asiaand Assessment of its Environmental Impact: 58-60 Tsukuba, Japan

(13)Kansai Sangyo Co. Ltd (1991) “Challenge toward Nature Farming” Kansai Sangyopp. 56 (in Japanese)

(14) Ogawa M. (1991) Effective utilization of charcoal as a material for soil amendment.AICAF Expert Bulletin 1212(3):1-13 (in Japanese)

(15) Igarashi T. (1996) Soil improvement effect of FMP & CRH in Indonesia. JICAPamphlet pp. 30

(16) Igarashi K. (2002) “Handbook for soil amendment of tropical soil”. AICAFF: 127-134(in Japanese)

(17) Oka H. et al. (1993) Improvement of sandy soil in the northeast by using carbonizedrice husks. JICATechnical Report 1313: 42-40 (in Japanese)

(18) Noguchi A. et al. (1993) Effect of rice husk charcoal application on the growth andnitrogen fixation of Phaseolus vulgaris. JICA Internal Report (in Japanese)

(19) Ogawa M. & Y. Yambe (1986) Effects of charcoal on VA mycorrhiza and noduleformations of soy bean. Studies on Nodule Formation and Nitrogen Fixation in LegumeCrops; Bulletin of Green Energy Program Group II No.88:108-134 MAFF (with Englishsummary)

(20) Ishigaki K. et al. (1990) The effect of the soil amendment materials with charcoaland wood vinegar on the growth of citrus, tea plant and vegetables. TRA Report: 107-120(in Japanese)

(21) Okutu M. et al. (1990) The effect of the soil amendment materials with charcoal andwood vinegar on the growth of rice plant, apple tree and vegetables. TRA Report: 121-131 (in Japanese)

(22) Sano H. et al. (1990) Effects of the materials for greening with charcoal on thegrowth of herbaceous plants and trees (1). TRA Report: 155-165 (in Japanese)

(23) Takagi S. (1990) Immobilization method of root nodule bacteria within charcoal andeffective inoculation method to the legumes. TRA Report: 229-248 (in Japanese)

(24) Soda R. et al. (1990) Spore propagation of VA mycorrizal fungi TRA Report: 199-212

(25) Aiba F. (1990) Effects of the materials for greening with charcoal on the growth ofherbaceous plants and trees (2). TRA Report: 167-170 (in Japanese)

(26) OOhira T. et al. (1992) Function of charcoal as microbial carrier in soil. J. Antibact.Antifung. Agents 2020(10): 511-517 (with English summary)

Page 261: Agricultural Applications for Pine-Based BioChar

9/27/08 9:18 AMhttp://mail.google.com/mail/?ui=2&ik=1677caa948&attid=0.1&disp=vah&view=att&th=11ca234967c52991

Page 13 of 15

(27) Matsubara Y. et al. (2002) Incidence of Fusarium root rot in Asparagus seedlingsinfected with arbuscular mycorrhizal fungus as affected by several soil amendment. J.Japn. Soc. Hort. Sci. 7171(3): 3370-374

(28) Ogawa M. (1987) “Symbiotic microorganisms connecting soil and plants-Ecology ofmycorrhiza” pp.241 Nosangyoson Bunka Kyokai, Tokyo (in Japanese)

(29) Ogawa M. (1991) Carbonized material as a soil amendment. AICAFF ExpertBulletin 1212(3): 1-13 (in Japanese)

(30) Ogawa M. (1994) Symbiosis of people and nature in the tropics. Farming Japan2828(5): 10-34

(31) King Coal Co. Ltd Pamphlet (2006) Hi-pro 251

(32) Kobayashi N. (2001) Charcoal utilization in agriculture (1) Nogyo Denka 5454(13):16-19 (in Japanese)

(33) Kishimoto S. et al. (1997) “Charcoal and Wood vinegar” pp.317 Sourinsha, Tokyo (inJapanese)

(34) Yatagai M. (1990) Purification and utilization of wood vinegar and the deodorizationby charcoal. TRA Report: 297- 313 (in Japanese)

(36) Ishii H. et al. (1990) Effects of purified wood vinegar on the growth of crop plants.TRA Report: 343- 362

(35) Nogi S. (1990) Purification of wood vinegar and the growth promoting effects forfruit trees. TRA Report: 314-330

(37) Hayashi R. (1990) Effects of purified wood vinegar as soil amendment and leafsurface spray. TRA Report: 331-341

(38) Ogawa M. (1983) Charcoal and the mushroom Rhizopogon rubescens. Forestry andForest Products Research Institute News (JOUHOU) 223223(2): 1-3 (in Japanese)

(39) Ogawa M. ed. (1992) “Cultivation of wild mushroom” pp.173 Ringyo Kairyo FukyuSousho 110 Zenkoku Ringyo Fukyu Kyokai, Tokyo (in Japanese)

(40) Hirasa T. (1992) Effects of charcoal granule buried in rhizosphere of Pinusthunbergii on the production of syoro mushroom (Rhizopogon rubescens). Bulletin ofShimane Forestry Research Center 4343: 25-30 (with English summary)

(41) Ogawa M. (2007) “Reviving pine tree with charcoal and mycorrhiza” pp.323 TsukijiShokan Tokyo (in Japanese)

(42) Ogawa M. (2006) Inoculation method of Scleroderma column are onto Dipterocarps.Suzuki K. et al. ed “Plantation Technology in Tropical Forest Science” 185-197 Springer

Page 262: Agricultural Applications for Pine-Based BioChar

9/27/08 9:18 AMhttp://mail.google.com/mail/?ui=2&ik=1677caa948&attid=0.1&disp=vah&view=att&th=11ca234967c52991

Page 14 of 15

(43) Kikuti J. & Ogawa M. (1999) Development of nursery techniques utilizingmicroorganisms. RETROF: “Research Report on Rehabilitation of Tropical Forest” 155-182

(44) Mori S. & Marjenah (2000) A convenient method for inoculating Dipterocarpseedlings with the ectomycorrhizal fungus, Scleroderma columnare. Guhardja H. et al.Eds. “Rainforest Ecosystems of East Kalimantan” Ecological Studies 140: 251-255

(45) Takami K. (2003) “Apricot bore fruit in our village” pp. 280 Nihon Keizai Shinbun,Tokyo (in Japanese)

(46) Ogawa M. (1998) Utilization of symbiotic microorganisms and charcoal for desertgreening. Green Age 1414: 5-11

(47) Article in “Monthly Swine Magazine (YOTON JOHO)” 3535(2) (2007) (in Japanese)

(48) Honma S. (2000) Chemical structure and ammonia adsorption ability of Todomatsu(Abies sachalinensis) wood carbonized in nitrogen and air atmospheres. J. Wood Sci.4646(4): 348-354 (with English summary)

(49) Nakano T. et al. (1996) Improvements of the under floor humidity in woody buildingand water content of wood material. Mokuzai Kogyo 5151(5): 198-202 (in Japanese)

(50) Abe I. et al. (1995) Humidity control capacity of microporous carbon. Seikatu Eisei3939(6): 333-336 (in Japanese)

(51) Kitamura T. (2005) Evaluation of the humidity control capacity of the waste woodcharcoal. J. Mat. Cycle & Waste Manage. 1616(6): 501-507 (in Japanese)

(52) Morita H. (2005) The effect of humid controlling charcoal on the environmental

antigenic allergy. Proceedings of 35th Annual Meeting of Japanese Society forDermatoallergology: 115.

(53) Taketani T. (2006) Evaluation of the effect of humid controlling charcoal on theinfantile bronchial asthma. Allergy 5555(3, 4): 467

(54) Abe I. et al. (2001) “Carbonization of all wastes ,urban wastes, sewage, garbage andwaste woods, and their utilization” Proceedings of the symposium on the production ofcharcoal and activated charcoal from wastes and their utilization. pp. 294, NIS Inc. (inJapanese)

(55) Shinogi Y. et al. (2003) Basic characteristics of low-temperature carbon productsfrom waste sludge. Advances in Environmental Research, 77: 661-665

(56) Ogawa M. (1998) Greening with symbiotic microorganisms and charcoal in desertregion. Monthly Bulletin Oversea Agricultural Development News 239239: 10-17 (inJapanese)

Page 263: Agricultural Applications for Pine-Based BioChar

9/27/08 9:18 AMhttp://mail.google.com/mail/?ui=2&ik=1677caa948&attid=0.1&disp=vah&view=att&th=11ca234967c52991

Page 15 of 15

(57) Ogawa M. (1999) Utilization of symbiotic microorganisms and charcoal in tropicalagriculture and forestry and CO2 fixation. Soil Microorganisms 5353(2): 73-79. (inJapanese)

(58) Glaser B et al. Ameliorating physical and chemical properties of highly weatheredsoils in the tropics with charcoal- a review. Biol Fertil Soils (2002) 3535: 219-220

(59) Kawamoto K. et al. (2005) Reactivity of wood charcoal with ozone. J. Wood Sci. 5151:66-72

(60) Yamato M. et al. (2006) Effects of the application of charred bark of Acaciamangium on the yield of maize, cowpea and peanut, and soil chemical properties inSouth Sumatra, Indonesia. Soil Sci. Plant Nut... 5252: 489-495

(61) Okimori Y. et al. (2003) Potential of CO2 emission reduction by carbonizing biomasswastes from industrial tree plantation in South Sumatra, Indonesia. Mitigation andAdaptation Strategies for Global Change 88: 261-280

(62) JICA (2002) “Demonstration studies on carbon fixing forest management project”.pp. 20 with appendices, JICA

(63) Shea S. (1999) Potential for carbon sequestration and product displacement with oilmallees, In Proceedings: The Oil Mallee Profitable Landcare Seminar, Oil MalleeAssociation, Perth, Australia

(64) Ogawa M. et al. (2006) Carbon sequestration by carbonization of biomass andforestation: Three case studies. Mitigation and Adaptation Strategies for Global Change1111: 429-444

.

Page 264: Agricultural Applications for Pine-Based BioChar

J. Japan. Soc. Hort. Sci. 63(3) : 529-535. 1994.

Effects of Charcoal as a Soil Conditioner on Citrus Growth and

Vesicular-Arbuscular Mycorrhizal Development

Takaaki Ishii1 and Kazuomi Kadoya2

I Faculty of Education , Ehime University, Matsuyama, Ehime 790 2 College of Agriculture

, Ehime University, Matsuyama, Ehime 790

Summary

Effects of several kinds of charcoal applied to soil on citrus growth and vesicular-arbuscular mycorrhizal (VAM) development were investigated. Satsuma mandarin (Citrus

unshiu Marc.) trees on trifoliate orange (Poncirus trifoliata Raf.) rootstocks were trans-planted to root boxes using the soil mixed with charcoal derived from rice husk, citrus juice sediment or western spruce bark. The trees were inoculated with the spores of Glomus fasciculatum (Thaxter) Gerdemann and Trappe emend. Walker and Koske. Elongation of the roots in the charcoal treatments was more vigorous than that in the charcoal-free control. The fresh weigths of the root, shoot and the whole tree increased in response to charcoal application. The intensity of VAM infection in any charcoal treatment was higher than that in the control. In particular, the percentage of the infection in the rice husk charcoal

plot was 41.5 and P concentration in the leaf exceeded that of the control. In a Citrus iyo orchard, the percentage of VAM infection was 52% in the rice husk

charcoal plot, the highest among plots. The intensity in the Bahia grass (Paspalum notatum Flugge.) plot was next, followed by the third highest rate found in the abandoned

plot which had not been cultivated in recent years. The lowest percentage of VAM infec-tion was in a clean-culture plot. A microscopic observation also revealed that in a charcoal-treated plot there were many sites where VAM fungi infected the root.

Introduction

A classic book written in Japan (Miyazaki,

1697) explained that soybean plants vigorously

flourished with a minimum of care when their seeds were sowed with charcoal. Recently, Ogawa

(1987) reported that charcoal applied to the soil could stimulate the activity of soil microorganisms

and promote the formation of root nodules and

vesicular-arbuscular mycorrhizae in soybean roots.

VAM symbioses are exceptionally common

among terrestrial flowering plants (Harley and Harley, 1987). Among these plants, there is a wide

range of dependency on VAM fungi for plant

growth. Citrus is also infected by several kinds of VAM fungi and is considered highly dependent on

them (Dixon et al., 1988; Edriss et al., 1984; Ishii

et al., 1992b; Menge et al., 1978; Nemec, 1979). These fungi improve mineral nutrition of the host

by increasing P uptake from a P deficient soil

(Antunes and Cardoso, 1991; Ferguson and Menge, 1986; Graham and Timmer, 1985; Krikun

and Levy, 1980; Nemec, 1979; Tang et al., 1984). Higher concentration of minor elements, especially

Zn (Krikun and Levy, 1980) and Cu (Timmer and

Leyden, 1980), were also observed after an inocu-lation with VAM fungi. Because the fungi pro-

vided essential elements for citrus growth, the in-

fected trees could grow more rapidly and appeared healthier than non-infected trees. This phe-

nomenon was especially noticeable in soils of low

fertility (Nemec, 1979). Furthermore, VAM fungi inoculation may increase tolerance to water stress

by regulating stomatal opening through hormone

synthesis (Graham et al., 1987). In our reports,

the photosynthesis and transpiration rates of VAM fungi-infected satsuma mandarin trees grow-

Received for publication 7 February 1994.

Parts of this paper were presented at the 1989 Spring

Meeting and 1990 Spring Meeting of the Japanese Society

for Horticultural Science.

529

Page 265: Agricultural Applications for Pine-Based BioChar

530 T. Ishii and K. Kadoya

ing in P-deficient soil surpassed those of non-VAM

trees stressed by high temperatures in August

(Shrestha et al., 1992). Interestingly, an inocula-tion of VAM fungi improved the fruit quality of

satsuma mandarin trees. In particular, it enhanced the Hunter's a/b value of peel color and the sugar

content in juice (Ishii et al., 1992b). In the citrus

orchards where high quality fruit was produced, the percentage of VAM infection in the root was

very high (Shrestha et al., 1993).

On the other hand, phytotoxic substances exist in the bark and sawdust extracts from several

woody forest species, especially in the bark ex-tracts of hinoki cypress (Chamaecyparis obtusa

Sieb. et Zucc. ex Endl.) which are condensed tan-

nins (Ishii and Kadoya, 1993). In soils to which unfermented organic matter were added, ethylene

has often been detected at concentrations high

enough to inhibit the growth of citrus trees (Ishii and Kadoya, 1984). The problem of growth inhibi-

tion is solved, however, if the organic matter with

phytotoxic substances is first transformed into charcoal and then used as a soil amendment.

The purpose of this study is to investigate

effects of several kinds of charcoal applied to soil on citrus growth and VAM development.

Materials and Methods

Experiment 1. Effects of charcoal application on citrus

growth and VAM development

In this experiment, we examined the effects of

charcoal application on the growth and VAM de-velopment of 'Aoshima' satsuma mandarin trees on

trifoliate orange rootstocks for two years. In early April of 1988, three two-year-old satsuma man-

darin trees per plot were transplanted individually to root boxes (40 cm × 40 cm × 40 cm) containing

the mixtures of river sand and a specific charcoal. Before planting, the roots were carefully washed

to remove the soil which had nourished the trees.

The control soil lacked charcoal. The charcoal used was made by using a chimney (15 cm in dia-

meter and 1.8 m in length) with some holes for

aeration or an oil drum (200 liter) equipped with

a chimney (15 cm in diameter and 1.8 m in length). The charcoal sources were rice husk, cit-

rus juice sediment and western spruce bark. The

charcoal derived from western spruce bark was

broken into 5 ~ 10 mm pieces. The sand and char-

coal were mixed in a proportion of 50 to 1 by

weight. The pH and electric conductivity (EC) of

the mixtures were measured with a pH meter and

an EC meter, respectively.

Two months after planting, the roots were

treated with 50 g fresh weight of soil inoculum con-

taining 300 ~ 340 spores of Glomus fasciculatum .

The inoculum was obtained from greenhouse pot

cultures of Bahia grass inoculated with Glomus

fasciculatum originally isolated from citrus

orchards in Matsuyama city, Ehime prefecture,

Japan. In 1988, each tree was fertilized with 6.4 g

of N, 3.2 g of P, and 3.8 g of K per annum from a

mixture of ammonium sulfate, calcium phosphate,

and potassium sulfate, respectively; the P and K

contents in the charcoal were first deducted. The

control trees were supplied with 5 g of calcium

carbonate-magnesium sulfate mixture (8 : 2 by

weight) to improve the soil pH. A Hoagland minor

element solution (1 liter/tree) was administered to

each trees. In 1989, P was excluded.

Roots appearing on the glass plates of root boxes

were traced onto transparent plastic sheets from

which the root lengths were measured, using a

personal computer equipped with an image proc-

essor (NEC mediagraph MG -10 with a stylus pen,

Tokyo, Japan) and a special software program.

In early December of 1989, the trees were re-

moved from the root boxes, and then the total,

root, and shoot fresh weights were measured. For

the determination of leaf P, leaf samples were

ashed at 550 •Ž overnight, and the residues were

dissolved in 2.4 N HC]. The P content was meas-

ured colorimetrically by the method of Deniges

(1920, 1921). Undamaged feeder rootlets were

sampled and rinsed with distilled water for a few

seconds. After the rootlets were cut into 2 - cm seg-

ments behind the growing tip, the segments were

immediately fixed in FAA (formalin: acetic acid:

50% ethanol, 13 : 5 : 200, v/v/v). Ten segments

per treatment, stained by the technique of Phillips

and Hayman (1970), were analyzed for the intensi-

ty of VAM infection by light microscopy. The per-

centage of VAM infection was calculated with the

following equation :

Page 266: Agricultural Applications for Pine-Based BioChar

J. Japan. Soc. Hort. Sci. 63(3) : 529-535. 1994. 531

Experiment 2. Soil management and the intensity of VAM infection in citrus roots

In late April of 1987, 4 experimental plots of 5

trees each were prepared in a Citrus iyo (15 - year-old trees on trifoliate orange rootstock) orchard in

Matsuyama city, Ehime prefecture. The ex-

perimental plots were as follows : 1) charcoal as a soil amendment, 2) abandoned culture, 3) sod cul-

ture with Bahia grass, and 4) clean culture by us-

ing herbicides such as paraquat dichloride and N - (phosphonomethyl) glycine (3 times in a year).

The charcoal plot had two pits (60 × 60 cm in width and 40 cm in depth) circling a tree and filled

with 6 kg of rice husk charcoal. Paraquat dichlo-

ride was applied once annually. In the Bahia grass

plot, the grass was mowed once each summer. Ex-cept for the abandoned plot, the rest received 32

kg N, 23 kg P, and 25 kg K per 10 a annually. The

application of agrochemicals, such as fungicides and pesticides, followed the guidelines of disease

and pest control for Ehime prefecture. In early September of 1988, root samples were

obtained from 3 to 5 places of each plot at a depth

of 5-10 cm, and then the intensity of VAM infec-

tion was determined by the methods described above. The root structure was observed with a

scanning electron microscope (SEM, JEOL type

JSM - T200, Tokyo, Japan). The apical 20 mm of 20 elongating roots from each plot were rinsed

with distilled water for a few seconds and the

apices were immediately fixed in Karnovsky solu-tion (Karnovsky, 1965) at room temperature for

24 hr. After being dehydrated through graded

solutions of ethyl alcohol-acetone, they were divided into 4 segments in 100% acetone. These

segments were then immersed in acetone for 2 hr,

critical-point-dried, mounted on aluminum stubs with silver conducting paint, and coated with a

thin layer of gold using an ion-coater (Eiko Engineering type IB -2, Tokyo, Japan). The roots

were observed in a SEM and photographed.

Results

Experiment 1.

No differences in soil pH among treatments were

observed. The EC value of the charcoal treatments

was higher than that of the control. The EC in the

western spruce bark charcoal treatment was about

13 times higher than that of the control plot

(Table 1). This is because NaCl permeated into the bark during sea storage after being imported into

Japan from North America. Soils treated with 3 kinds of charcoal had signif-

icant effects on growth, leaf P concentration, and

VAM development in roots of satsuma mandarin

trees. About 2 months after the onset of this ex-

periment, except in the western spruce bark char-coal treatment, roots appeared on the glass plates,

and their elongation rates indicated that roots in the charcoal-treated plots were more vigorous than

ones in the control. As of November 8, 1989, the

root length in any charcoal treatment was about 1.5 times longer than that in the control. The total

fresh weights and the fresh weights of roots and

shoots increased with charcoal treatments. The

growth increments varied little among the kinds of charcoal (Table 2). The intensity of VAM infection

in any charcoal treatment was higher than that in the control; that of the rice husk charcoal treat-

ment attaining 41.5% (Table 3). Hardly any signif-icant differences in leaf P concentration among

treatments with western spruce bark charcoal, cit-

rus juice sediments charcoal and the control were

observed; but leaf P concentration in the rice husk charcoal treatment, which significantly stimulated

VAM infection, was higher than that in the control

(Table 3).

Experiment 2.

The intensiy of VAM infection in the rice husk

charcoal plot was 52%, the highest among plots. The intensity in the Bahia grass sod plot was

second highest, whereas that of the abandoned plot was third. The lowest percentage of VAM infec-

tion was in the clean culture plot where herbicides

were used 3 times a year (Table 4). The hyphae, vesicles and arbuscles of VAM fungi were fre-

Table 1. The pH and electric conductivity (EC) of soils treated with charcoal (Experiment 1) .

Page 267: Agricultural Applications for Pine-Based BioChar

532 T. Ishii and K. Kadoya

quently observed on/in citrus roots sampled from the charcoal-treated plots (Fig. 1). The SEM photo-

micrographs also indicated that in the charcoal-

treated plot there were many sites where VAM fungi infected and penetrated into the root (Figs. 2

and 3).

Discussion

In Japan, it has long been known that charcoal

is a very effective soil conditioner which promotes

plant growth. Charcoal application may result in

improving physical properties of soil, its fertility,

and biological conditions. The present experiment

indicated that citrus growth and VAM develop-

ment in the root were stimulated by applying char-

coal to soil. This stimulation of citrus growth by charcoal is attributed to an increase in the percen-

tage of VAM infection in the roots. Ogawa (1987)

also reported that the enhanced colonization by

symbiotic microorganisms, such as Rhizobium and VAM fungi, by charcoal application, invigorated

soybean plants.

Table 2. Effect of charcoal application on the growth of satsuma mandarin trees (Experiment 1) .

Table 3. Effect of charcoal application on vesicular-

arbuscular mycorrhizal (VAM) development and

leaf phosphorus (P) concentration in satsuma man-

darin trees (Experiment 1) .

Table 4. Effect of soil management on VAM development in Citrus iyo trees (Experiment 2) .

Fig. 1. Photomicrograph of VAM fungal structures in

Citrus iyo roots stained with typan blue.

a : fungal hyphae ( × 100), b : vesicle ( × 150), c : arbuscle ( × 600).

Page 268: Agricultural Applications for Pine-Based BioChar

J. Japan. Soc. Hort. Sci. 63(3) : 529-535. 1994. 533

The increased VAM infections by charcoal ap-

plication may be because charcoal absorbs many kinds of toxic substances and agrochemicals which inhibit root growth and microbial activity. It has

also been shown that some agrochemicals inhibit

the germination of VAM spores (Kobayashi, 1988;

Ogawa, 1987). The growth inhibition of VAM fun-

gi by fungicides such as thiophanate methyl, be-nomyl, iprodione, and copper fungicides is severe. In the case of herbicides, Kobayashi (1988)

showed that the germination of Gigaspora margari-

ta spores was severely repressed by 48 ppm para-

quat dichloride or 410 ppm N - (phosphonomethyl) glycine. In our experiment, the percentage of VAM infcetion in the herbicide-treated clean culture plot is lower than that of the abandoned plot.

The pH value of water extracts from charcoal

was high (Ishii and Kadoya, 1990), indicating that

charcoal ameliorated soil acidity. Generally, soil

pH is low in citrus orchards in Japan, so that the percentage of VAM infection in the root is low and the number of VAM spores in the soil is small

(Ishii et al., 1989b, 1992a). By neutralizing soil acidity, charcoal may be improving the growth and development of VAM fungi.

There are very few reports on VAM develop-

ment in citrus trees grown in Japan. When roots of

satsuma mandarin and Citrus iyo trees from 24 orchards in Ehime prefecture (in southwestern

Japan) were observed for VAM infections, they were not extensive except for an orchard with

good soil conditions which produced 9 ~ 10 t satsu-ma mandarin fruit per 10 a every year (Ishii et al.,

1989b). Numerous VAM spores in the soil and VAM - infected plants are generally observed in

woodlands and non-cultivated fields. This indi-

cates that there are many factors which restrict

Fig. 2. SEM photomicrograph of VAM fungi in Citrus iyo roots.

Left : × 200, Right : × 1000.

Fig. 3. SEM photomicrograph of a VAM spore

(Glomus spp.) and invasion of its hyphae into roots (× 1000).

Page 269: Agricultural Applications for Pine-Based BioChar

534 T. Ishii and K. Kadoya

the existence and growth of VAM fungi in

orchards because of our present soil management

practices, such as the usage of agrochemicals and chemical fertilizers. The average annual amount of P applied is about 20 kg per 10 a. That P, espe-

cially soluble P, is detrimental to VAM develop-

ment in citrus roots was reported earlier (Antunes

and Cardoso, 1991; Graham and Timmer, 1985). Several kinds of VAM fungi, however, live in our

soil in spite of many malpractices in our present soil management (Ishii et al., 1992a). We sug-

gested that VAM formation in citrus roots could be effectively increased through application of charcoal to the soil or introduction of a sod cul-

ture system. In particular, the application of char-

coal is very effective for VAM development. Con-trarily, an excess of charcoal inhibits citrus

growth (Ishii and Kadoya, 1990). This inhibition by an excessive application of charcoal might be concerned with an increment of soil pH value.

Therefore, an appropriate amount of charcoal to

be applied is less than 2 t per 10 a (this is approx-imately equivalent to 2% charcoal, Table 2).

Furthermore, such an effect of charcoal may be

strengthened by mixing charcoal and soil. VAM fungi develop well in citrus orchards

where Bahia grass is used for sod (Ishii et al., 1993). We have also indicated that the intensity of

VAM formation on some weeds grown in citrus

orchards was higher than that on citrus trees

(Ishii et al., 1989a). However, sod culture in com-mercial citrus orchards has been unsuccessful in

Japan; most citrus growers believe that a clean culture is best for the production of high-quality fruits. Thus, our soil management system must be

re-evaluated. The prevailing cultural system in which large

quantities of agrochemical and chemical fertilizers are used, should be thoroughly revamped so that a cultural system which maintains beneficial soil

microorganisms is adopted. In conclusion, any ap-

plication of charcoal to the soil is a practical method to improve soil properties and to foster the

development of symbiotic microorganisms includ-

ing VAM fungi.

Literature Cited

Antunes, V. and E. J. B. N. Cardoso. 1991. Growth and

nutrient status of citrus plants as influenced by

mycorriza and phosphorous application. Plant and

Soil 131 : 11-19. Deniges, G. 1920. Reaction de coloration extremement

sensible des phosphates et des arseniates. Compt. rend. 171 : 802-804.

Deniges, G. 1921. Determination quantitative des plus faibles quantites de phosphates dans les produits

biologiques par la methode ceruleomolybdique. Compt. rend. Soc. biol. 84 : 875-877.

Dixon, R. K., H. E. Garrett and G. S. Cox. 1988. Cyto- kinin activities in Citrus jambhiri Lush. seedlings

colonized by vesicular-arbuscular mycorrhizal fungi. Tree 2 : 39-44.

Edriss, M. H., R. M. Davis and D. W. Burger. 1984. In- fluence of mycorrhizal fungi on cytokinin produc-

tion in sour orange. J. Amer. Soc. Hort. Sci. 109 : 587-590.

Ferguson, J. J. and J. A. Menge. 1986. Response of cit- rus seedlings to various field inoculation methods

with Glomus deserticola in fumigated nursery soils. J. Amer. Soc. Hort. Sci. 111 : 288-292.

Graham, J. H. and L. Timmer. 1985. Rock phosphate as a source of phosphorus for vesicular-arbuscular

mycorrhizal development and growth of citrus in a soilless medium. J. Amer. Soc. Hort. Sci. 110 :

489-492. Graham, J. H., J. P. Syvertsen and M. L. Smith, Jr.

1987. Water relations of mycorrhizal and

phosphorus-fertilized non-mycorrhizal citrus under drought stress. New Phytol. 105 : 411-419.

Harley, J. L. and E. L. Harley. 1987. A check-list of mycorrhiza in the British flora. New Phytol. 105 :

1-102. Ishii, T. and K. Kadoya. 1984. Growth of citrus trees

as affected by ethylene evolved from organic mate- rials applied to soil. J. Jap. Soc. Hort. Sci. 53 :

320-330. Ishii, T., K. Tatsumi and K. Kadoya. 1989a. VA

mycorrhizal development of citrus trees as affected by soil managements. J. Jap. Soc. Hort. Sci.

58 (Suppl. 1): 32-33. (In Japanese). Ishii, T., K. Tatsumi and K. Kadoya. 1989b. Distribu-

tion and ecological aspects of vesicular-arbuscular mycorrhizal fungi in citrus orchards. Mem. Coll.

Agr., Ehime Univ. 34 : 65-71. Ishii, T. and K. Kadoya. 1990. Use of charcoal as a

soil conditioner applied to citrus orchards. J. Jap. Soc. Hort. Sci. 59 (Suppl. 1): 36-37. (In Japanese).

Ishii, T., Y. H. Shrestha and K. Kadoya. 1992a. VA mycorrhizal fungi in citrus soils and the relation-

ship between soil factors and number of the spores. J. Jap. Soc. Hort. Sci. 61 (Suppl. 2): 166-167. (In Japanese).

Ishii, T., Y. H. Shrestha and K. Kadoya. 1992b. Effect of vesicular-arbuscular (VA) mycorrhizal fungi on

tree growth, fruit development and quality, and water stress of satsuma mandarin trees. J. Jap.

Page 270: Agricultural Applications for Pine-Based BioChar

J. Japan. Soc. Hort. Sci. 63(3) : 529-535. 1994. 535

Soc. Hort. Sci. 62 (Suppl. 1): 26-27. (In Japanese). Ishii, T., J. Hamada, K. Ishizaki, Y. H. Shrestha and K.

Kadoya. 1993. Effect of sod culture system by Bahia grass (Paspalum notatum Flugge.) on vesicular-arbuscular mycorrhizal development of satsuma mandarin trees. J. Jap. Soc. Hort. Sci. 62

(Suppl. 2): 98-99. (In Japanese). Ishii, T. and K. Kadoya. 1993. Phytotoxic constituents

in the bark and sawdust extracts of Chamaecyparis obtusa and Cryptomeria japonica and their effects on

the growth of seedlings of trifoliate orange (Ponci- rus trifoliate Ref.) and rice (Oryza sativa L.). J. Jap.

Soc. Hort. Sci. 53 : 320-330. Karnovsky, M. J. 1965. A formaldehyde-glutaralde-

hyde fixative of high osmolality for use in electron microscopy. J. Cell Biol. 27 : 137A-138A.

Kobayashi, N. 1988. Factors affecting the germination of spores of Gigaspara margarita . Microorganisms

31 : 13-28. Krikun, J. and Y. Levy. 1980. Effect of vesicular

arbuscular mycorrhiza on citrus growth and mineral composition. Phytoparasitica 8 : 195-200.

Menge, J. A., E. L. V. Johnson and R. G. Platt. 1978. Mycorrhizal dependency of several citrus culti- vars under three nutrient regimes. New Phytol. 81

: 553-559. Miyazaki, S. 1697. Nougyou-Zensho. In : Yamada, T., J.

Iinuma, M. Oka and S. Morita (eds.). The complete works of ancient agricultural books in Japan. Ru-

ral Culture Association, 1988. (In Japanese). Nemec, S. 1979. Response of six citrus rootstocks to

three species of Glomus , a mycorrhizal fungus. The citrus industry 5 : 5-14.

Ogawa, M. 1987. Mutualistic microorganisms at the plant-soil interface. Rural Culture Association. (In Japanese).

Phillips, J. M. and D. S. Hayman. 1970. Improved proc- edures for clearing roots and staining parasitic

and vesicular-arbuscular mycorrhizal fungi for rapid assessment of infection. Trans. Br. Mycol.

Soc. 55 : 158-161. Shrestha, Y. H., T. Ishii and K. Kadoya. 1992. Effect of

vesicular-arbuscular (VA) mycorrhizal fungi on

photosynthesis and transpiration, and the dis- tribution of photosynthates of fruit-bearing satsu-

ma mandarin trees. J. Jap. Soc. Hort. Sci. 62

(Suppl. 1): 28-29. (In Japanese). Shrestha, Y. H., T. Ishii and K. Kadoya. 1993. A rela-

tion of vesicular-arbuscular mycorrhizal develop- ment and fruit quality of satsuma mandarin. J. Jap.

Soc. Hort. Sci. 62 (Suppl. 2): 96-97. (In Japanese). Tang, Z., Q. Zhang and S. Hou. 1984. The effects of

mycorrhizal fungus on phosphate uptake by citrus in.red earth. Acta Mycologia Sinica 3 : 170-177.

Timmer, L. W. and R. F. Leyden. 1980. The relation- ship of mycorrhizal infection to phosphorus-in-

duced copper deficiency in sour orange seedlings. New Phytol. 85 : 15-23.

炭施用がカンキツの樹体生長およびVA菌 根形成に及ぼす影響

石 井 孝 昭1・ 門 屋 一 臣2

1愛媛 大学教 育学 部790愛 媛 県松 山市 文京 町3

2愛媛 大学 農学部790愛 媛 県 松 山市樽 味3 -5-7

摘 要

炭 施用 が カ ンキ ツの樹体 生 長 お よびVA菌 根 形 成 に

及 ぼす影 響 を調査 した.イ ネ もみが ら,ベ イ ツガ樹 皮

あ るい は カ ンキ ツ ジ ュース かす か ら作 った炭 で処 理 し

た土 壌 を用 いて,ル ー トボ ックス に ウンシ ュ ウ ミカ ン

(カ ラ タチ 台)樹 を 移植 し,こ れ にGlomusfascicula-

tumの胞子 を接種 した.そ の結 果,ボ ックス の ガ ラス

面 に観 察 され る根 の伸長 は,い ず れの炭 施用 区 にお い

て も対照(炭 無 施用)区 よ り旺 盛 であ った.全 生体重,

地 下部 重 お よ び新 梢 重 も炭 施 用 区で増 大 した.VA菌

根 形 成 は対照 区 よ りも炭 施用 区で 良好 であ り,特 に イ

ネ もみ が ら炭 で は その感 染率 が41.5%と 著 しく高 く,

また葉 内の リン含量 も増 加 した.一 方,宮 内 イ ヨカ ン

園 に おけ る炭(イ ネ もみが ら)施 用 区,バ ヒア グ ラス

草生 区,放 任 区お よび慣行裸 地(除 草剤 年3回 使用)

区 のVA菌 根 形成 を比較 調査 した ところ,VA菌 根 菌

の感 染率 は炭 施 用 区(52.0%),バ ヒア グ ラス 草生 区

(16.9%),放 任 区(7.3%),慣 行裸 地 区(3.6%)の

順 で あ った.

Page 271: Agricultural Applications for Pine-Based BioChar

6/25/09 7:07 AMMicrobial Fertilizers in Japan

Page 1 of 16http://www.agnet.org/library/eb/430/

Skip to the page content area.Site search: Search

HOME ABOUT US MAJOR ACTIVITIES FFTC PUBLICATION DATABASE

AGRICULTURAL SITUATIONER CONTACT US

:::FFTC Publication

Database

Annual Reports

Books

Newsletters

Issues in Asian Agriculture

Extension Bulletins

Technical Bulletins

Technical Notes

Practical Technology

Research Highlights

:::Microbial Fertilizers in Japan

Michinori Nishio

National Institute of Agro-Environmental Sciences

Kannondai 3-1-1, Tsukuba, Ibaraki 305 Japan, 1996-10-01

This Bulletin discusses microbial products in Japan, where they are used on

many farms, particularly by organic farmers who hope that these products will

improve nutrient uptake by plants and the quality of their products. It

discusses the use of charcoal and rhizobia to stimulate nutrient uptake, and

the use of arbuscular mycorrizal fungi (AMF) to help establish vegetation on

barren land. The range of commercial AMF products available in Japan is

briefly described, and their use and effectiveness in Japanese agriculture.

Abstracts in Other Languages: 中文, 日本語, !"#

Abstract

Introduction

In 1961, Japan enacted the "Fundamental Law of Agriculture", which

encouraged farmers to selectively produce vegetables, fruits, forage crops

and livestock as well as rice, instead of staple foods such as wheat, barley

and corn. The aim of the law was to raise farmers' incomes in response to the

rapid growth of the Japanese economy. Consumption of vegetables, fruits,

milk, eggs and meats increased with economic growth. Farmers adopted the

strategy of increasing crop yields by applying large amounts of chemical

fertilizers and pesticides. During the 1960s and 1970s, the yield of many

crops per unit area increased dramatically as the result of intensive use of

chemical inputs and various soil amendments.

At present, however, the yield of many crops in Japan has reached a plateau.

Moreover, the negative effects of heavy applications of chemical inputs are

becoming apparent, in terms of both production and the environment,

especially in the case of vegetables. Physiological disturbance of plant

metabolism is common, due to the accumulation of excess plant nutrients in

the soil. The spread of soil-borne diseases is a threat to vegetable production,

especially where monoculture is prevailing. Pollution of underground and

surface water by nitrates is sometimes reported from vegetable producing

areas. Quality deterioration, in terms of a decrease in the content of vitamins

Page 272: Agricultural Applications for Pine-Based BioChar

6/25/09 7:07 AMMicrobial Fertilizers in Japan

Page 2 of 16http://www.agnet.org/library/eb/430/

areas. Quality deterioration, in terms of a decrease in the content of vitamins

and sugars, is becoming a subject of concern. All these factors are giving

farmers an interest in the function and utilization of soil microorganisms, as a

way of repairing the damage from the overuse of chemical inputs.

Many farmers in Japan are showing a strong interest in the utilization of

microorganisms to help:

Stimulate plant nutrient uptake;

Provide biological control of soil-borne diseases;

Hasten the decomposition of straw and other organic wastes;

Improve soil structure; and

Promote the production of physio-logically active substances in the

rhizosphere or in organic matter.

The main incentive for farmers to use microorganisms seems to be that they

hope to increase the yield or quality of their crops at a relatively low cost,

without a large investment of money and labor. Although many microbial

materials are sold commercially, most of them are not microbiologically

defined, i.e. the microorganisms contained in the products are not identified,

and the microbial composition is not fixed. Many of these commercial

products are advertised as if they could solve any problem a farmer is likely

to encounter. Because most extension advisors lack any knowledge of

microbial products, confusion and trouble frequently occur.

In this report I would like to describe the present situation of microbial

technologies in Japan, focusing on the practical use of various products and

their potential.

Utilization of Arbuscular Mycorrhizal Fungi

More than 50% of upland and grassland soils in Japan are volcanic ash soils

(Andosols), which transform phosphate into unavailable forms by chemical

bonding with aluminum ions. Phosphate availability is therefore one of the

strongest limiting factors on Japanese upland and grassland farms. At present,

this problem is being overcome by a heavy basal dressing of a mixture of

superphosphate and fused phosphate. Although these heavy applications have

contributed to a remarkable increase in yields of many crops, many vegetable

fields have accumulated phosphate at levels which inhibit plant growth. On

the other hand, most grasslands are still deficient in phosphate, because

enough chemical phosphate is being applied only when they are reclaimed.

Therefore, there are two types of Andosols in Japan; one contains a sufficient

amount of phosphate, and one does not. In both cases, there have been

attempts to use arbuscular mycorrhizal fungi (AMF) or vesicular-arbuscular

mycorrhizal fungi (VAM) for soil amelioration.

Utilization of Indigenous Amf by the Application of Charcoal

The idea that the application of charcoal stimulates indigenous AMF in soil

and thus promotes plant growth is relatively well-known in Japan, although

the actual application of charcoal is limited due to its high cost. The concept

originated in the work of M. Ogawa, a former soil microbiologist in the

Forestry and Forest Products Research Institute in Tsukuba. He and his

colleagues applied charcoal around the roots of pine trees growing by the

seashore, and found that Japanese truffles became plentiful. He also tested

Page 273: Agricultural Applications for Pine-Based BioChar

6/25/09 7:07 AMMicrobial Fertilizers in Japan

Page 3 of 16http://www.agnet.org/library/eb/430/

seashore, and found that Japanese truffles became plentiful. He also tested

the application of charcoal to soybean with a small quantity of applied

fertilizer, and demonstrated the stimulation of plant growth and nodule

formation (Ogawa 1983). His findings with regard to legumes were taken up

for further study by the National Grassland Research Institute (Nishio and

Okano 1991).

Stimulation of Alfalfa Growth by Charcoal Application

Table 1 shows the results obtained with alfalfa in pot experiments. The soil

used was a volcanic ash soil with very low phosphate availability. Although

alfalfa growth was very poor without applied fertilizer, it was improved by the

application of small amounts of fertilizer, and even more by the application of

charcoal with the fertilizer.

Four sets of pots were prepared. Each set received the same amount of

fertilizer (2 g N, 4.4 g P and 8.3 g K/m2). Set [F] received only fertilizer. The

others received fertilizer and also rhizobia [F+R], 1,000g/m of charcoal

[F+C], and rhizobia plus charcoal [F+R+C]. The charcoal used was a

commercial product made of bark from several kinds of deciduous broad-

leaved trees. Particle composition was >2mm, 24%; 1-2mm, 18%, and

<1mm; 58%.

Compared to the sets which received fertilizer alone, or fertilizer plus rhizobia,

the charcoal application stimulated plant growth by 1.7 - 1.8 times [F+C] and

1.4 - 1.8 times [F+R+C], measured at 38 days after sowing. At this stage the

stimulatory effect of rhizobia on plant growth was not marked, because the

plants had met most of their requirements by absorbing the applied nitrogen

fertilizer, and nodule development was still at an early stage. At 58 days,

when the nitrate added had been completely exhausted, plants not inoculated

with rhizobia ([F] and [F + C]) ceased to grow, and their leaves turned yellow

due to nitrogen deficiency. The soil used did not contain any indigenous

rhizobia effective on alfalfa, so that roots not inoculated with R. meliloti did

not show any acetylene reduction activity. At this stage, the stimulatory effect

of charcoal on growth was observed only in the plants inoculated with

rhizobia. The shoot weight of the [F + R + C] plants was 1.7 times greater

than that of the [F + R] plants.

Stimulation of Nutrient Uptake by Charcoal Application

The amount of nutrients (N, P, K) absorbed by the shoots showed a trend

similar to that of the shoot fresh weight (Table 1). The amount of N fixed by

the nodules and transported to the shoots was calculated by subtracting the N

content of the shoots of the plants not inoculated with rhizobia from the N

content of the inoculated plants ([F+R]-[F], [F+R+C] - [F+C]). The addition

of charcoal increased this amount of N 2.8-4.0 times, and the ARA by 6.2

times (Table 2). Added charcoal also increased the nodule weight by 2.3

times.

Fig. 1 shows the relationship between the increment of P and N associated

with rhizobial inoculation in comparison with the non-inoculated alfalfa ([F+R]

- [F] and [+R+C] - [F+C]). A significant correlation was observed between

the increments of P and N, suggesting that the stimulation of nitrogen fixation

by charcoal addition may be due to the stimulation of P uptake.

Page 274: Agricultural Applications for Pine-Based BioChar

6/25/09 7:07 AMMicrobial Fertilizers in Japan

Page 4 of 16http://www.agnet.org/library/eb/430/

by charcoal addition may be due to the stimulation of P uptake.

Relationship between Charcoal Application and Amp

The relative values of the shoot fresh weight and the degree of AMF infection

were determined on the basis of the values of [F+R]. A significant correlation

was observed between the shoot weight and AMF infection (Fig. 2).

When the soil was sterilized by chloropicrin, alfalfa growth was greatly

reduced, even with the application of the same amount of fertilizer shown in

Table 1. The stimulatory effect of charcoal on plant growth also diminished.

On the other hand, vigorous plant growth and the stimulatory effects of

charcoal addition were clearly observed when the sterilized soil was mixed

with a large amount of native soil (Fig. 3). This clearly indicates that the

stimulatory effect of added charcoal may appear only when a certain level of

indigenous AMF are present.

Mechanism Whereby Charcoal Stimulates theGrowth of Amf

Charcoal may stimulate the growth of AMF by the following mechanism.

Charcoal particles have a large number of continuous pores with a diameter

of more than 100!m. They do not contain any organic nutrients, because of

the carbonization process. The large pores in the charcoal may offer a new

microhabitat to the AMF, which can obtain organic nutrients through mycelia

extended from roots. This may enable the AMF to extend their mycelia far out

from the roots, thus collecting a larger amount of available phosphate.

Utilization of Amf for Establishment of GreenCover on Barren Land

Barren land with poor vegetation cover, such as bare slopes beside roads and

on mountains, or large fresh deposits of volcanic debris, are subject to serious

soil erosion. The ordinary method of establishing plant cover on sloping

barren land is to seed grass or transplant tree seedlings, together with

fertilization of the soil. At the early stages of plant development, however,

when plant cover is not yet well established, heavy rainfall can cause soil

erosion and leach out fertilizers. This retards plant establishment. To

overcome the problem, a new technology is now being developed.

T. Marumoto of Yamaguchi University and his colleagues have developed a

new soil mulching sheet made of a plastic random-fiber sheet of webbing. It

contains plant seeds, fertilizer (including a coated nitrogen fertilizer and

culture media composed of organic materials (peat soil + bark manure),

zeolite and bentonite (Marumoto 1996). The sheet is stretched out over the

soil surface, and helps prevent soil erosion at the early stages of vegetation

growth. Shoots and roots of seedlings can easily push through the sheet and

develop further. Marumoto also attempted to stimulate the growth of grasses

and trees by inoculating the sheet with AMF and ectomycorrhizal fungi. Table

3 shows one of their experiments, in which a commercial product of AMF

(Gigarospora margarita) was inoculated on the soil surface beneath a sheet

containing mixed grass seeds. After six months, the dry weight of the grass

increased by 1.4-1.6 times compared to the control, and the level of infection

by AMF was clearly enhanced by the inoculation.

Page 275: Agricultural Applications for Pine-Based BioChar

6/25/09 7:07 AMMicrobial Fertilizers in Japan

Page 5 of 16http://www.agnet.org/library/eb/430/

by AMF was clearly enhanced by the inoculation.

Marumoto et al. demonstrated the effectiveness of their sheet by applying it

to more than 50 field sites, including bare slopes of building construction

sites, sites where golf courses were being developed, road construction sites

and fresh deposits of volcanic debris. They are now attempting to improve

their technology by utilizing mycorrhizal fungi. Their experiments show that

the selection of plant species suited to the targeted soil, and also of species of

endo- and ecto-mycorrhizal fungi suited to the host plant, are very important.

Utilization of the Commercial Amf Products inVegetable Production

A number of AMF products for inoculation are sold commercially in Japan. In

May 1994, Idemitsu Industry, one of the biggest oil companies in Japan,

launched its AMF product (Yorifuji and Suzuki 1955). The Central Glass

Company then began to sell its AMF products through Tosho Central Trading

Company. Before these two companies, Kyowa Fermentation Industry had

been the first company in Japan to produce an AMF product and subject it to

marketing tests, but abandoned actual marketing since it judged there would

be little profit, in the context of Japanese intensive agriculture. Several other

companies are now investigating the application of AMF to agriculture, and

intend to market new products in the near future. As the sales of chemical

fertilizers fall, affected by the environmental conservation movement and by

the increasing costs of production, fertilizer companies are searching for

alternative added-value technologies, of which AMF is one. In addition to

stimulating the nutrient uptake by plants, it is hoped that AMF will prevent

the infection by pathogens of roots. If they are found in fact to do this, a very

large market demand might be expected, because soil-borne plant diseases

are the most serious limiting factor in Japan's vegetable production, where

continuous cropping is widespread. Since the microbiological industry

generally needs a relatively small investment, at least at the start, companies

other than fertilizer producers are also competing to develop and sell AMF

products.

Brief Description of Commercial Amf Products

Idemitsu Industry uses mainly strains of Glomus, with complementary strains

of Gigaspora and Scutellospora. Central Glass uses strains of Gigaspora.

Although the specificity of AMF is generally said not to be high, researchers at

these companies have demonstrated that different strains may sometimes

vary greatly in their ability to infect the roots of certain plants. Therefore,

AMF products are composed of multiple strains, all with confirmed infection

abilities. Spores and mycelia produced by the cultivation of host plants are

packed with mineral carriers or peat moss. One AMF product sold by Idemitsu

Industry has a water content of 15%, and should be stored at temperatures

lower than 20°C. Activity can be maintained for at least two years if the

product is stored at 5°C.

Effectiveness of Commercial Amf Products

AMF products are used mainly on vegetables such as eggplant, tomato,

strawberry, sweet pepper, leek, asparagus and lettuce. They are not used

much on flowers or fruit trees, although they probably will be in future. They

Page 276: Agricultural Applications for Pine-Based BioChar

6/25/09 7:07 AMMicrobial Fertilizers in Japan

Page 6 of 16http://www.agnet.org/library/eb/430/

much on flowers or fruit trees, although they probably will be in future. They

will probably not be used on low-value crops such as cereals, soybean and

pasture, because of the cost-benefit relationship.

In most cases, nursery beds are inoculated with AMF products, and the

inoculated seedlings are planted out in the field. Usually nursery beds also

receive 150-205 kg/ha of P2O5 fertilizer. Although this amount of phosphate

seems to be excessive in terms of producing full AMF activity, the growth of

seedlings has been reported to be increased significantly, by 20% or more, by

AMF inoculation. Final yields of marketable produce were reported to be

increased by 20-50%.

Vegetable farmers regard large, healthy seedlings as important in achieving

higher yields and preventing soilborne diseases. A more noticeable stimulation

of seedling growth could be expected if phosphate applications were reduced

to a lower level. Even so, farmers might not be satisfied if lower phosphate

applications resulted in smaller seedlings. In intensive agriculture, the

objective is not a reduction in chemical fertilizers, but a higher yield of better

quality. Organic farming using reduced inputs might be able to utilize AMF

products more effectively.

Utilization of Phosphate SolubilizingMicroorganisms

Japan has only very small amounts of rock phosphate, and most of its soils

immobilize phosphate ions into unavailable forms. Rock phosphate which can

be mined by current technology is predicted to become exhausted in about

100 years' time. Therefore, there is a strong interest in developing alternative

sources of phosphate fertilizer. Many countries are studying the direct

utilization of rock phosphate. Australia has developed "biosuper", i.e. pellets

composed of rock phosphate, sulfur and sulfur-oxidizing bacteria. Japanese

scientists are very interested in the solubilization of bound phosphate in soil

which has accumulated phosphate from repeated, heavy applications of

phosphate fertilizer.

While more than 70% of total phosphate is present in organic forms, such as

inositol phosphate in volcanic ash soils, there are very few indigenous

microorganisms with a strong ability to decompose inositol phosphate in the

soil. On the contrary, Japanese soils contain many indigenous heterotrophic

microorganisms which solubilize mineral bound phosphates by the excretion

of chelating organic acids. In grassland soils, phosphate solubilizing

microorganisms made up 1% of bacterial populations and 10% of fungal

populations (Nishio 1985). Tinker (1980) raised doubts on the utilization of

heterorophic phosphate solubilizing microorganisms, because they need a

large amount of organic matter before they can excrete organic acids. Even if

phosphate is solubilized, phosphate ions are incorporated into the microbial

biomass, so roots cannot absorb enough of them. Thus, we adopted the

following strategy: a) The addition of a large amount of organic matter makes

phosphate solubilizing (PS) microorganisms proliferate and these solubilize

bound phosphate. b) Solubilized phosphates are incorporated into the

microbial biomass during other microbial multiplication, using organic matter.

c) Once the organic matter becomes exhausted, the microbial biomass

Page 277: Agricultural Applications for Pine-Based BioChar

6/25/09 7:07 AMMicrobial Fertilizers in Japan

Page 7 of 16http://www.agnet.org/library/eb/430/

c) Once the organic matter becomes exhausted, the microbial biomass

decreases and releases phosphate into the soil. d) The death of the microbial

biomass can be accelerated by various soil treatments, including tillage,

drying, liming and sterilization. e) Plants can absorb phosphate after microbial

proliferation has ceased. f) The absorption of phosphate by plants can be

accelerated by inoculation with AMF.

Experimental Evidence

Each step described above has been experimentally confirmed (Kimura and

Nishio 1989). Fig. 4 shows the difference in biomass P (P retained in biomass)

between the soils with and without compound phosphate. When the soil was

incubated for 7 days by adding sucrose and ammonium sulfate, the biomass P

significantly increased, utilizing Ca-, Al-, and Fe-phosphates and low-quality

rock phosphate. However, no significant increase was observed with varicite

(crystallized aluminum phosphate) over this short period. This indicates that

insoluble phosphates which are not crystallized can be solubilized by

indigenous microorganisms when abundant carbon sources are supplied.

The rate of increase in soil biomass P fell, and available phosphate increased,

after the depletion of carbon sources, or after soil treatments such as

chloropicrin fumigation, air-drying or grinding (Fig. 5). This indicates that

after the exhaustion of organic matter, microbial biomass falls, releasing

phosphate into the soil, and that the release of available phosphate can be

accelerated by soil treatments.

To demonstrate the stimulatory effect of AMF on plant absorption of

phosphate released from soil biomass, an experiment was conducted using

dry yeast as an alternative to dead soil biomass. Fig. 6 shows that the

simultaneous addition of dry yeast and AMF had a marked effect on both the

growth of alfalfa and phosphate absorption by the plant.

Implications

Although this experimental evidence merely shows the principles underlying

the technology, this is very useful when we attempt to utilize heterotrophic

phosphate-solubilizing (PS) microorganisms in soil. It indicates that

PS microorganisms need the addition of a large amount of organic matter

as a substrate (excretes from roots are not sufficient);

Phosphate solubilized by PS micro-organisms is seldom absorbed directly by

the plant as long as a large amount of organic matter remains, because other

heterotrophs incorporate phosphate into biomass; thus,

Growth retardation of the plant may be a possibility just after the

application of organic matter.

To avoid growth retardation, seeding or transplanting should be delayed.

If rock phosphate, basic sludge or other low-grade phosphate is added, pre-

solubilization of bound phosphate in the compost is one way of avoiding

growth retardation.

Utilization of Microbial Materials in OrganicFarming

The number of farmers following organic farming is increasing each year in

Japan. The Ministry of Agriculture, Forestry and Fisheries adopted guidelines

for organic commodities in 1993. These define organic produce as being

Page 278: Agricultural Applications for Pine-Based BioChar

6/25/09 7:07 AMMicrobial Fertilizers in Japan

Page 8 of 16http://www.agnet.org/library/eb/430/

for organic commodities in 1993. These define organic produce as being

produced in fields to which no chemically synthesized inputs, except for those

permitted, have been applied for at least three years. Since crop production

with no chemical inputs at all is very difficult in Japan, many farmers instead

try to make minimal use of chemical fertilizer and pesticides. Produce grown

in this way is regarded as being related to organic food.

In terms of the plant nutrient supply, there are two types of organic farming.

One provides plant nutrients from local resources, and the other uses

commercial organic fertilizers. Most organic farmers in Japan use the latter

type, i.e. commercial organic fertilizers, made from rape seed meal or

soybean meal (both residues of oil extraction), meat and fish meal, bone

meal etc. These supply sufficient plant nutrients to give relatively high yields.

Local resources include green manures, composted livestock manure etc.

Utilization of Microbial Materials to Make

&Quot;Bokashi&Quot;

Most Japanese organic farmers utilize what is known as `bokashi', in addition

to compost. `Bokashi' is organic fertilizer which is briefly composted, to make

it less attractive to pests. If rape seed or soybean meal is directly applied to

soil, a certain fly ("tanebae") lays eggs in it. The maggots feed on young

seedlings just after germination and cause serious damage. Fishmeal also

attracts field mice, which dig tunnels under the seed beds. To avoid damage

of this kind, farmers developed on their own initiative a technique of

composting organic fertilizers for a short period. Typical ingredients are

shown in Table 4. These are mixed, and inoculated with microorganisms.

Water is added to give a moisture content of 50-55%, and the compost is

heaped into a pile. When the temperature of the pile reaches 50-55°C, the

pile is mixed and spread out. After the compost has cooled down, it is again

heaped in a pile. This microbial decomposition and cooling is repeated three

or four times. The materials are then spread out to dry, and finally packed in

bags for storage. The name of the product, `bokashi', means in Japanese

"obscuring the direct effectiveness". The concentration of nitrogen in bokashi

is much lower than in chemical fertilizer, ranging from 2 to 5% total nitrogen.

Since the original ingredients are dried materials, there are not enough

microorganisms present to begin immediate decomposition of the organic

matter. To avoid anaerobic fermentation, with its unpleasant odor, the

compost is inoculated with aerobic microorganisms which multiply rapidly.

Because these microorganisms need oxygen and have no heat-tolerance, the

pile is mixed and spread every one or two days. During the process of

composting, easily decomposable organic matter is decomposed through the

production of microbial biomass, liberating ammonium ions. The ammonium is

retained on soil particles. The microbial biomass contributes to the slower

release of nutrients with the residual ingredients. Overall, the aim of the

process seems to be, firstly, to decompose substances which attract pests,

and secondly, to create a slower-acting organic fertilizer.

The production of bokashi in Japan seems to be increasing. Many organic

farmers engaged in vegetable production use bokashi when they limit the

water supply to plants. Plants under water stress increase the osmotic

pressure in their fluid by increasing concentrations of mono- and oligo-

Page 279: Agricultural Applications for Pine-Based BioChar

6/25/09 7:07 AMMicrobial Fertilizers in Japan

Page 9 of 16http://www.agnet.org/library/eb/430/

pressure in their fluid by increasing concentrations of mono- and oligo-

saccharides instead of starch. This results in a higher level of sugars and

vitamins in the vegetables, as well as a longer post-harvest storage life.

These attributes raise the quality of the produce. When vegetables are being

cultivated in a state of water stress, the application of ordinary chemical

fertilizers is very difficult, because a rapid increase in the concentration of

mineral nutrients in a small amount of soil water frequently damages plant

growth. Although slow-acting fertilizers can avoid these difficulties, organic

farmers prefer bokashi because it is organic.

Although many microbial products are sold in Japan, except in a few special

cases, they are not microbiologically defined, i.e. the microorganisms they

contain are not identified, and merely described in terms of their hoped-for

results. Products which not only identify the microorganisms, but quantify

them, are very rare. Fortunately, the microorganisms effective in bokashi

production are not restricted to a special group, but are very common species

which can multiply rapidly in ordinary composting materials. No serious

problems have occurred in bokashi production, with one interesting exception.

Is &Quot;Em&Quot; Really an Effective Microorganism?

What is "EM"?

This exception is "EM", standing for "effective microorganisms". EM products

were developed by T. Higa of Ryukyu University, Okinawa. They contain

abundant anaerobic lactic acid bacteria and yeasts, as well as other

microorganisms. The utilization of these anaerobic microorganisms is a

distinctive feature which distinguishes EM from other microbial products. EM

first attracted notice in garbage treatment by local governments that were

struggling to cope with the increasing amount of garbage. The EM

manufacturer claimed that individual households could make "compost" of

good quality in one or two weeks using a sealed plastic bag or container

containing cooking refuse mixed with an EM product. Although anaerobic

fermentation usually generates an unpleasant odor, EM products were claimed

to suppress any bad smells by producing lactic acid. Higa claimed that the

"compost" thus prepared could be used in a home garden or distributed to

farmers. This idea attracted local governments, who hoped it would cut down

on the cost of garbage treatment, as well as citizens who appreciated the

importance of recycling. The "compost" thus prepared, however, has a very

high water content, because water vapor cannot escape from a sealed bag. It

also contains a large amount of available organic matter, because the

decomposition of organic matter is incomplete, as with the making of silage

or pickles. Incorporating available organic matter into the soil causes an

explosive proliferation of pathogenic "sugar fungi" such as Physium and

Rhizoctonia. Therefore, many crop failures have occurred when seeds were

sown just after application of the "compost". Some farmers' groups are now

making bokashi from this garbage compost by drying it, mixing it with other

materials, and composting this mixture further. "EM Bokashi"

Apart from compost made from household wastes, farmers are also making

bokashi, using EM products under anaerobic conditions, from other ordinary

organic materials. Higa claims in his book that a revolution in agriculture is

possible, since the use of EM products increases greatly the yield of crops. For

Page 280: Agricultural Applications for Pine-Based BioChar

6/25/09 7:07 AMMicrobial Fertilizers in Japan

Page 10 of 16http://www.agnet.org/library/eb/430/

possible, since the use of EM products increases greatly the yield of crops. For

example, rice fertilized with EM bokashi produced brown rice yields of more

than 12 mt/ha.

I. Goto and a colleague of Tokyo Agricultural University carried out some field

experiments in cooperation with the EM company. They analyzed EM bokashi

supplied by the company and also bokashi supplied by farmers, and showed

that the samples contained on average 40 kg N, 30 Kg P2O5 and 13 kg K2O

per 1000 kg, much the same as ordinary bokashi (Goto and Muramoto 1995).

EM recommends the application of 1000 kg/ha of EM bokashi, but the input of

40 kg of nitrogen contained in this amount is not sufficient for the full growth

of vegetables. Goto examined the crops of farmers who use EM bokashi, and

found that the yield of lettuce from 1000 kg of EM bokashi was much the

same as that from ordinary commercial organic fertilizer, when the nitrogen

levels were adjusted. He also found that farmers generally applied 30 mt/ha

of cattle manure in addition to the EM bokashi, and pointed out that the yields

obtained by the farmers may have been greatly supported by the manure.

When in fact vegetables were cultivated with only 1000 kg/ha EM bokashi

alone in the fields of the University, he found that the yields of many

vegetables were only half those obtained by ordinary practices (Muramoto

and Goto 1995). Later, researchers of EM reported that when the nitrogen

level was adjusted to 100 kg/ha, EM bokashi (2500 kg/ha) yielded the same

quantity of lettuce as chemical fertilizer (Iwahori et al. 1996). Therefore, they

insisted that the standard amount of EM bokashi which should be applied was

2500 kg/ha for lettuce, and criticized Goto for using an insufficient amount.

These experiments seem to show that EM bokashi is no revolutionary step

forward, because when it is used, vegetables need the same level of nitrogen

as when they are given chemical fertilizers. Goto claims that EM bokashi is

nothing but ordinary bokashi, and has no special qualities (Goto et al. 1996).

Utilization of Azolla in Organic Paddy Fields

Although Azolla has seldom been utilized by Japanese farmers, regardless of

experimental results in research institutes, the recent trend towards organic

farming shows signs of changing the situation. A common practice in organic

rice production is to release ducklings, usually hybrids of domestic ducks and

wild ones, into paddy fields. The webs of their feet disturb the soil surface in

the shallow water, and remove the young seedlings of weeds, thus controlling

weeds without herbicides. I. Watanabe, who studied Azolla at the

International Rice Research Institute, speculated that this soil disturbance

would suspend soil particles in the water, thus increasing the availability of

phosphate adsorbed on soil particles to Azolla floating on the water surface.

He made contact with a farmer and proposed his idea. They carried out

experiments in 1995 in the farmer's paddy field, inoculating Azolla in early

May without fertilizer. The Azolla increased very rapidly, and covered the

whole field just like a carpet. The Azolla biomass was estimated to be 28

mt/ha on June 25. Subsequently, some of the Azolla was eaten by birds, and

was reduced by about 30% by July 14. Since the Azolla supplied too much

nitrogen to the rice, some of the plants collapsed, and the yield of brown rice

was only 4.36-4.5 mt/ha (Huruno 1995). This experiment is likely to trigger

off widespread utilization of Azolla in Japan.

Page 281: Agricultural Applications for Pine-Based BioChar

6/25/09 7:07 AMMicrobial Fertilizers in Japan

Page 1 of 16http://www.agnet.org/library/eb/430/

Skip to the page content area.Site search: Search

HOME ABOUT US MAJOR ACTIVITIES FFTC PUBLICATION DATABASE

AGRICULTURAL SITUATIONER CONTACT US

:::FFTC Publication

Database

Annual Reports

Books

Newsletters

Issues in Asian Agriculture

Extension Bulletins

Technical Bulletins

Technical Notes

Practical Technology

Research Highlights

:::Microbial Fertilizers in Japan

Michinori Nishio

National Institute of Agro-Environmental Sciences

Kannondai 3-1-1, Tsukuba, Ibaraki 305 Japan, 1996-10-01

This Bulletin discusses microbial products in Japan, where they are used on

many farms, particularly by organic farmers who hope that these products will

improve nutrient uptake by plants and the quality of their products. It

discusses the use of charcoal and rhizobia to stimulate nutrient uptake, and

the use of arbuscular mycorrizal fungi (AMF) to help establish vegetation on

barren land. The range of commercial AMF products available in Japan is

briefly described, and their use and effectiveness in Japanese agriculture.

Abstracts in Other Languages: 中文, 日本語, !"#

Abstract

Introduction

In 1961, Japan enacted the "Fundamental Law of Agriculture", which

encouraged farmers to selectively produce vegetables, fruits, forage crops

and livestock as well as rice, instead of staple foods such as wheat, barley

and corn. The aim of the law was to raise farmers' incomes in response to the

rapid growth of the Japanese economy. Consumption of vegetables, fruits,

milk, eggs and meats increased with economic growth. Farmers adopted the

strategy of increasing crop yields by applying large amounts of chemical

fertilizers and pesticides. During the 1960s and 1970s, the yield of many

crops per unit area increased dramatically as the result of intensive use of

chemical inputs and various soil amendments.

At present, however, the yield of many crops in Japan has reached a plateau.

Moreover, the negative effects of heavy applications of chemical inputs are

becoming apparent, in terms of both production and the environment,

especially in the case of vegetables. Physiological disturbance of plant

metabolism is common, due to the accumulation of excess plant nutrients in

the soil. The spread of soil-borne diseases is a threat to vegetable production,

especially where monoculture is prevailing. Pollution of underground and

surface water by nitrates is sometimes reported from vegetable producing

areas. Quality deterioration, in terms of a decrease in the content of vitamins

Page 282: Agricultural Applications for Pine-Based BioChar

6/25/09 7:07 AMMicrobial Fertilizers in Japan

Page 2 of 16http://www.agnet.org/library/eb/430/

areas. Quality deterioration, in terms of a decrease in the content of vitamins

and sugars, is becoming a subject of concern. All these factors are giving

farmers an interest in the function and utilization of soil microorganisms, as a

way of repairing the damage from the overuse of chemical inputs.

Many farmers in Japan are showing a strong interest in the utilization of

microorganisms to help:

Stimulate plant nutrient uptake;

Provide biological control of soil-borne diseases;

Hasten the decomposition of straw and other organic wastes;

Improve soil structure; and

Promote the production of physio-logically active substances in the

rhizosphere or in organic matter.

The main incentive for farmers to use microorganisms seems to be that they

hope to increase the yield or quality of their crops at a relatively low cost,

without a large investment of money and labor. Although many microbial

materials are sold commercially, most of them are not microbiologically

defined, i.e. the microorganisms contained in the products are not identified,

and the microbial composition is not fixed. Many of these commercial

products are advertised as if they could solve any problem a farmer is likely

to encounter. Because most extension advisors lack any knowledge of

microbial products, confusion and trouble frequently occur.

In this report I would like to describe the present situation of microbial

technologies in Japan, focusing on the practical use of various products and

their potential.

Utilization of Arbuscular Mycorrhizal Fungi

More than 50% of upland and grassland soils in Japan are volcanic ash soils

(Andosols), which transform phosphate into unavailable forms by chemical

bonding with aluminum ions. Phosphate availability is therefore one of the

strongest limiting factors on Japanese upland and grassland farms. At present,

this problem is being overcome by a heavy basal dressing of a mixture of

superphosphate and fused phosphate. Although these heavy applications have

contributed to a remarkable increase in yields of many crops, many vegetable

fields have accumulated phosphate at levels which inhibit plant growth. On

the other hand, most grasslands are still deficient in phosphate, because

enough chemical phosphate is being applied only when they are reclaimed.

Therefore, there are two types of Andosols in Japan; one contains a sufficient

amount of phosphate, and one does not. In both cases, there have been

attempts to use arbuscular mycorrhizal fungi (AMF) or vesicular-arbuscular

mycorrhizal fungi (VAM) for soil amelioration.

Utilization of Indigenous Amf by the Application of Charcoal

The idea that the application of charcoal stimulates indigenous AMF in soil

and thus promotes plant growth is relatively well-known in Japan, although

the actual application of charcoal is limited due to its high cost. The concept

originated in the work of M. Ogawa, a former soil microbiologist in the

Forestry and Forest Products Research Institute in Tsukuba. He and his

colleagues applied charcoal around the roots of pine trees growing by the

seashore, and found that Japanese truffles became plentiful. He also tested

Page 283: Agricultural Applications for Pine-Based BioChar

6/25/09 7:07 AMMicrobial Fertilizers in Japan

Page 3 of 16http://www.agnet.org/library/eb/430/

seashore, and found that Japanese truffles became plentiful. He also tested

the application of charcoal to soybean with a small quantity of applied

fertilizer, and demonstrated the stimulation of plant growth and nodule

formation (Ogawa 1983). His findings with regard to legumes were taken up

for further study by the National Grassland Research Institute (Nishio and

Okano 1991).

Stimulation of Alfalfa Growth by Charcoal Application

Table 1 shows the results obtained with alfalfa in pot experiments. The soil

used was a volcanic ash soil with very low phosphate availability. Although

alfalfa growth was very poor without applied fertilizer, it was improved by the

application of small amounts of fertilizer, and even more by the application of

charcoal with the fertilizer.

Four sets of pots were prepared. Each set received the same amount of

fertilizer (2 g N, 4.4 g P and 8.3 g K/m2). Set [F] received only fertilizer. The

others received fertilizer and also rhizobia [F+R], 1,000g/m of charcoal

[F+C], and rhizobia plus charcoal [F+R+C]. The charcoal used was a

commercial product made of bark from several kinds of deciduous broad-

leaved trees. Particle composition was >2mm, 24%; 1-2mm, 18%, and

<1mm; 58%.

Compared to the sets which received fertilizer alone, or fertilizer plus rhizobia,

the charcoal application stimulated plant growth by 1.7 - 1.8 times [F+C] and

1.4 - 1.8 times [F+R+C], measured at 38 days after sowing. At this stage the

stimulatory effect of rhizobia on plant growth was not marked, because the

plants had met most of their requirements by absorbing the applied nitrogen

fertilizer, and nodule development was still at an early stage. At 58 days,

when the nitrate added had been completely exhausted, plants not inoculated

with rhizobia ([F] and [F + C]) ceased to grow, and their leaves turned yellow

due to nitrogen deficiency. The soil used did not contain any indigenous

rhizobia effective on alfalfa, so that roots not inoculated with R. meliloti did

not show any acetylene reduction activity. At this stage, the stimulatory effect

of charcoal on growth was observed only in the plants inoculated with

rhizobia. The shoot weight of the [F + R + C] plants was 1.7 times greater

than that of the [F + R] plants.

Stimulation of Nutrient Uptake by Charcoal Application

The amount of nutrients (N, P, K) absorbed by the shoots showed a trend

similar to that of the shoot fresh weight (Table 1). The amount of N fixed by

the nodules and transported to the shoots was calculated by subtracting the N

content of the shoots of the plants not inoculated with rhizobia from the N

content of the inoculated plants ([F+R]-[F], [F+R+C] - [F+C]). The addition

of charcoal increased this amount of N 2.8-4.0 times, and the ARA by 6.2

times (Table 2). Added charcoal also increased the nodule weight by 2.3

times.

Fig. 1 shows the relationship between the increment of P and N associated

with rhizobial inoculation in comparison with the non-inoculated alfalfa ([F+R]

- [F] and [+R+C] - [F+C]). A significant correlation was observed between

the increments of P and N, suggesting that the stimulation of nitrogen fixation

by charcoal addition may be due to the stimulation of P uptake.

Page 284: Agricultural Applications for Pine-Based BioChar

6/25/09 7:07 AMMicrobial Fertilizers in Japan

Page 4 of 16http://www.agnet.org/library/eb/430/

by charcoal addition may be due to the stimulation of P uptake.

Relationship between Charcoal Application and Amp

The relative values of the shoot fresh weight and the degree of AMF infection

were determined on the basis of the values of [F+R]. A significant correlation

was observed between the shoot weight and AMF infection (Fig. 2).

When the soil was sterilized by chloropicrin, alfalfa growth was greatly

reduced, even with the application of the same amount of fertilizer shown in

Table 1. The stimulatory effect of charcoal on plant growth also diminished.

On the other hand, vigorous plant growth and the stimulatory effects of

charcoal addition were clearly observed when the sterilized soil was mixed

with a large amount of native soil (Fig. 3). This clearly indicates that the

stimulatory effect of added charcoal may appear only when a certain level of

indigenous AMF are present.

Mechanism Whereby Charcoal Stimulates theGrowth of Amf

Charcoal may stimulate the growth of AMF by the following mechanism.

Charcoal particles have a large number of continuous pores with a diameter

of more than 100!m. They do not contain any organic nutrients, because of

the carbonization process. The large pores in the charcoal may offer a new

microhabitat to the AMF, which can obtain organic nutrients through mycelia

extended from roots. This may enable the AMF to extend their mycelia far out

from the roots, thus collecting a larger amount of available phosphate.

Utilization of Amf for Establishment of GreenCover on Barren Land

Barren land with poor vegetation cover, such as bare slopes beside roads and

on mountains, or large fresh deposits of volcanic debris, are subject to serious

soil erosion. The ordinary method of establishing plant cover on sloping

barren land is to seed grass or transplant tree seedlings, together with

fertilization of the soil. At the early stages of plant development, however,

when plant cover is not yet well established, heavy rainfall can cause soil

erosion and leach out fertilizers. This retards plant establishment. To

overcome the problem, a new technology is now being developed.

T. Marumoto of Yamaguchi University and his colleagues have developed a

new soil mulching sheet made of a plastic random-fiber sheet of webbing. It

contains plant seeds, fertilizer (including a coated nitrogen fertilizer and

culture media composed of organic materials (peat soil + bark manure),

zeolite and bentonite (Marumoto 1996). The sheet is stretched out over the

soil surface, and helps prevent soil erosion at the early stages of vegetation

growth. Shoots and roots of seedlings can easily push through the sheet and

develop further. Marumoto also attempted to stimulate the growth of grasses

and trees by inoculating the sheet with AMF and ectomycorrhizal fungi. Table

3 shows one of their experiments, in which a commercial product of AMF

(Gigarospora margarita) was inoculated on the soil surface beneath a sheet

containing mixed grass seeds. After six months, the dry weight of the grass

increased by 1.4-1.6 times compared to the control, and the level of infection

by AMF was clearly enhanced by the inoculation.

Page 285: Agricultural Applications for Pine-Based BioChar

6/25/09 7:07 AMMicrobial Fertilizers in Japan

Page 5 of 16http://www.agnet.org/library/eb/430/

by AMF was clearly enhanced by the inoculation.

Marumoto et al. demonstrated the effectiveness of their sheet by applying it

to more than 50 field sites, including bare slopes of building construction

sites, sites where golf courses were being developed, road construction sites

and fresh deposits of volcanic debris. They are now attempting to improve

their technology by utilizing mycorrhizal fungi. Their experiments show that

the selection of plant species suited to the targeted soil, and also of species of

endo- and ecto-mycorrhizal fungi suited to the host plant, are very important.

Utilization of the Commercial Amf Products inVegetable Production

A number of AMF products for inoculation are sold commercially in Japan. In

May 1994, Idemitsu Industry, one of the biggest oil companies in Japan,

launched its AMF product (Yorifuji and Suzuki 1955). The Central Glass

Company then began to sell its AMF products through Tosho Central Trading

Company. Before these two companies, Kyowa Fermentation Industry had

been the first company in Japan to produce an AMF product and subject it to

marketing tests, but abandoned actual marketing since it judged there would

be little profit, in the context of Japanese intensive agriculture. Several other

companies are now investigating the application of AMF to agriculture, and

intend to market new products in the near future. As the sales of chemical

fertilizers fall, affected by the environmental conservation movement and by

the increasing costs of production, fertilizer companies are searching for

alternative added-value technologies, of which AMF is one. In addition to

stimulating the nutrient uptake by plants, it is hoped that AMF will prevent

the infection by pathogens of roots. If they are found in fact to do this, a very

large market demand might be expected, because soil-borne plant diseases

are the most serious limiting factor in Japan's vegetable production, where

continuous cropping is widespread. Since the microbiological industry

generally needs a relatively small investment, at least at the start, companies

other than fertilizer producers are also competing to develop and sell AMF

products.

Brief Description of Commercial Amf Products

Idemitsu Industry uses mainly strains of Glomus, with complementary strains

of Gigaspora and Scutellospora. Central Glass uses strains of Gigaspora.

Although the specificity of AMF is generally said not to be high, researchers at

these companies have demonstrated that different strains may sometimes

vary greatly in their ability to infect the roots of certain plants. Therefore,

AMF products are composed of multiple strains, all with confirmed infection

abilities. Spores and mycelia produced by the cultivation of host plants are

packed with mineral carriers or peat moss. One AMF product sold by Idemitsu

Industry has a water content of 15%, and should be stored at temperatures

lower than 20°C. Activity can be maintained for at least two years if the

product is stored at 5°C.

Effectiveness of Commercial Amf Products

AMF products are used mainly on vegetables such as eggplant, tomato,

strawberry, sweet pepper, leek, asparagus and lettuce. They are not used

much on flowers or fruit trees, although they probably will be in future. They

Page 286: Agricultural Applications for Pine-Based BioChar

6/25/09 7:07 AMMicrobial Fertilizers in Japan

Page 6 of 16http://www.agnet.org/library/eb/430/

much on flowers or fruit trees, although they probably will be in future. They

will probably not be used on low-value crops such as cereals, soybean and

pasture, because of the cost-benefit relationship.

In most cases, nursery beds are inoculated with AMF products, and the

inoculated seedlings are planted out in the field. Usually nursery beds also

receive 150-205 kg/ha of P2O5 fertilizer. Although this amount of phosphate

seems to be excessive in terms of producing full AMF activity, the growth of

seedlings has been reported to be increased significantly, by 20% or more, by

AMF inoculation. Final yields of marketable produce were reported to be

increased by 20-50%.

Vegetable farmers regard large, healthy seedlings as important in achieving

higher yields and preventing soilborne diseases. A more noticeable stimulation

of seedling growth could be expected if phosphate applications were reduced

to a lower level. Even so, farmers might not be satisfied if lower phosphate

applications resulted in smaller seedlings. In intensive agriculture, the

objective is not a reduction in chemical fertilizers, but a higher yield of better

quality. Organic farming using reduced inputs might be able to utilize AMF

products more effectively.

Utilization of Phosphate SolubilizingMicroorganisms

Japan has only very small amounts of rock phosphate, and most of its soils

immobilize phosphate ions into unavailable forms. Rock phosphate which can

be mined by current technology is predicted to become exhausted in about

100 years' time. Therefore, there is a strong interest in developing alternative

sources of phosphate fertilizer. Many countries are studying the direct

utilization of rock phosphate. Australia has developed "biosuper", i.e. pellets

composed of rock phosphate, sulfur and sulfur-oxidizing bacteria. Japanese

scientists are very interested in the solubilization of bound phosphate in soil

which has accumulated phosphate from repeated, heavy applications of

phosphate fertilizer.

While more than 70% of total phosphate is present in organic forms, such as

inositol phosphate in volcanic ash soils, there are very few indigenous

microorganisms with a strong ability to decompose inositol phosphate in the

soil. On the contrary, Japanese soils contain many indigenous heterotrophic

microorganisms which solubilize mineral bound phosphates by the excretion

of chelating organic acids. In grassland soils, phosphate solubilizing

microorganisms made up 1% of bacterial populations and 10% of fungal

populations (Nishio 1985). Tinker (1980) raised doubts on the utilization of

heterorophic phosphate solubilizing microorganisms, because they need a

large amount of organic matter before they can excrete organic acids. Even if

phosphate is solubilized, phosphate ions are incorporated into the microbial

biomass, so roots cannot absorb enough of them. Thus, we adopted the

following strategy: a) The addition of a large amount of organic matter makes

phosphate solubilizing (PS) microorganisms proliferate and these solubilize

bound phosphate. b) Solubilized phosphates are incorporated into the

microbial biomass during other microbial multiplication, using organic matter.

c) Once the organic matter becomes exhausted, the microbial biomass

Page 287: Agricultural Applications for Pine-Based BioChar

6/25/09 7:07 AMMicrobial Fertilizers in Japan

Page 7 of 16http://www.agnet.org/library/eb/430/

c) Once the organic matter becomes exhausted, the microbial biomass

decreases and releases phosphate into the soil. d) The death of the microbial

biomass can be accelerated by various soil treatments, including tillage,

drying, liming and sterilization. e) Plants can absorb phosphate after microbial

proliferation has ceased. f) The absorption of phosphate by plants can be

accelerated by inoculation with AMF.

Experimental Evidence

Each step described above has been experimentally confirmed (Kimura and

Nishio 1989). Fig. 4 shows the difference in biomass P (P retained in biomass)

between the soils with and without compound phosphate. When the soil was

incubated for 7 days by adding sucrose and ammonium sulfate, the biomass P

significantly increased, utilizing Ca-, Al-, and Fe-phosphates and low-quality

rock phosphate. However, no significant increase was observed with varicite

(crystallized aluminum phosphate) over this short period. This indicates that

insoluble phosphates which are not crystallized can be solubilized by

indigenous microorganisms when abundant carbon sources are supplied.

The rate of increase in soil biomass P fell, and available phosphate increased,

after the depletion of carbon sources, or after soil treatments such as

chloropicrin fumigation, air-drying or grinding (Fig. 5). This indicates that

after the exhaustion of organic matter, microbial biomass falls, releasing

phosphate into the soil, and that the release of available phosphate can be

accelerated by soil treatments.

To demonstrate the stimulatory effect of AMF on plant absorption of

phosphate released from soil biomass, an experiment was conducted using

dry yeast as an alternative to dead soil biomass. Fig. 6 shows that the

simultaneous addition of dry yeast and AMF had a marked effect on both the

growth of alfalfa and phosphate absorption by the plant.

Implications

Although this experimental evidence merely shows the principles underlying

the technology, this is very useful when we attempt to utilize heterotrophic

phosphate-solubilizing (PS) microorganisms in soil. It indicates that

PS microorganisms need the addition of a large amount of organic matter

as a substrate (excretes from roots are not sufficient);

Phosphate solubilized by PS micro-organisms is seldom absorbed directly by

the plant as long as a large amount of organic matter remains, because other

heterotrophs incorporate phosphate into biomass; thus,

Growth retardation of the plant may be a possibility just after the

application of organic matter.

To avoid growth retardation, seeding or transplanting should be delayed.

If rock phosphate, basic sludge or other low-grade phosphate is added, pre-

solubilization of bound phosphate in the compost is one way of avoiding

growth retardation.

Utilization of Microbial Materials in OrganicFarming

The number of farmers following organic farming is increasing each year in

Japan. The Ministry of Agriculture, Forestry and Fisheries adopted guidelines

for organic commodities in 1993. These define organic produce as being

Page 288: Agricultural Applications for Pine-Based BioChar

6/25/09 7:07 AMMicrobial Fertilizers in Japan

Page 8 of 16http://www.agnet.org/library/eb/430/

for organic commodities in 1993. These define organic produce as being

produced in fields to which no chemically synthesized inputs, except for those

permitted, have been applied for at least three years. Since crop production

with no chemical inputs at all is very difficult in Japan, many farmers instead

try to make minimal use of chemical fertilizer and pesticides. Produce grown

in this way is regarded as being related to organic food.

In terms of the plant nutrient supply, there are two types of organic farming.

One provides plant nutrients from local resources, and the other uses

commercial organic fertilizers. Most organic farmers in Japan use the latter

type, i.e. commercial organic fertilizers, made from rape seed meal or

soybean meal (both residues of oil extraction), meat and fish meal, bone

meal etc. These supply sufficient plant nutrients to give relatively high yields.

Local resources include green manures, composted livestock manure etc.

Utilization of Microbial Materials to Make

&Quot;Bokashi&Quot;

Most Japanese organic farmers utilize what is known as `bokashi', in addition

to compost. `Bokashi' is organic fertilizer which is briefly composted, to make

it less attractive to pests. If rape seed or soybean meal is directly applied to

soil, a certain fly ("tanebae") lays eggs in it. The maggots feed on young

seedlings just after germination and cause serious damage. Fishmeal also

attracts field mice, which dig tunnels under the seed beds. To avoid damage

of this kind, farmers developed on their own initiative a technique of

composting organic fertilizers for a short period. Typical ingredients are

shown in Table 4. These are mixed, and inoculated with microorganisms.

Water is added to give a moisture content of 50-55%, and the compost is

heaped into a pile. When the temperature of the pile reaches 50-55°C, the

pile is mixed and spread out. After the compost has cooled down, it is again

heaped in a pile. This microbial decomposition and cooling is repeated three

or four times. The materials are then spread out to dry, and finally packed in

bags for storage. The name of the product, `bokashi', means in Japanese

"obscuring the direct effectiveness". The concentration of nitrogen in bokashi

is much lower than in chemical fertilizer, ranging from 2 to 5% total nitrogen.

Since the original ingredients are dried materials, there are not enough

microorganisms present to begin immediate decomposition of the organic

matter. To avoid anaerobic fermentation, with its unpleasant odor, the

compost is inoculated with aerobic microorganisms which multiply rapidly.

Because these microorganisms need oxygen and have no heat-tolerance, the

pile is mixed and spread every one or two days. During the process of

composting, easily decomposable organic matter is decomposed through the

production of microbial biomass, liberating ammonium ions. The ammonium is

retained on soil particles. The microbial biomass contributes to the slower

release of nutrients with the residual ingredients. Overall, the aim of the

process seems to be, firstly, to decompose substances which attract pests,

and secondly, to create a slower-acting organic fertilizer.

The production of bokashi in Japan seems to be increasing. Many organic

farmers engaged in vegetable production use bokashi when they limit the

water supply to plants. Plants under water stress increase the osmotic

pressure in their fluid by increasing concentrations of mono- and oligo-

Page 289: Agricultural Applications for Pine-Based BioChar

6/25/09 7:07 AMMicrobial Fertilizers in Japan

Page 9 of 16http://www.agnet.org/library/eb/430/

pressure in their fluid by increasing concentrations of mono- and oligo-

saccharides instead of starch. This results in a higher level of sugars and

vitamins in the vegetables, as well as a longer post-harvest storage life.

These attributes raise the quality of the produce. When vegetables are being

cultivated in a state of water stress, the application of ordinary chemical

fertilizers is very difficult, because a rapid increase in the concentration of

mineral nutrients in a small amount of soil water frequently damages plant

growth. Although slow-acting fertilizers can avoid these difficulties, organic

farmers prefer bokashi because it is organic.

Although many microbial products are sold in Japan, except in a few special

cases, they are not microbiologically defined, i.e. the microorganisms they

contain are not identified, and merely described in terms of their hoped-for

results. Products which not only identify the microorganisms, but quantify

them, are very rare. Fortunately, the microorganisms effective in bokashi

production are not restricted to a special group, but are very common species

which can multiply rapidly in ordinary composting materials. No serious

problems have occurred in bokashi production, with one interesting exception.

Is &Quot;Em&Quot; Really an Effective Microorganism?

What is "EM"?

This exception is "EM", standing for "effective microorganisms". EM products

were developed by T. Higa of Ryukyu University, Okinawa. They contain

abundant anaerobic lactic acid bacteria and yeasts, as well as other

microorganisms. The utilization of these anaerobic microorganisms is a

distinctive feature which distinguishes EM from other microbial products. EM

first attracted notice in garbage treatment by local governments that were

struggling to cope with the increasing amount of garbage. The EM

manufacturer claimed that individual households could make "compost" of

good quality in one or two weeks using a sealed plastic bag or container

containing cooking refuse mixed with an EM product. Although anaerobic

fermentation usually generates an unpleasant odor, EM products were claimed

to suppress any bad smells by producing lactic acid. Higa claimed that the

"compost" thus prepared could be used in a home garden or distributed to

farmers. This idea attracted local governments, who hoped it would cut down

on the cost of garbage treatment, as well as citizens who appreciated the

importance of recycling. The "compost" thus prepared, however, has a very

high water content, because water vapor cannot escape from a sealed bag. It

also contains a large amount of available organic matter, because the

decomposition of organic matter is incomplete, as with the making of silage

or pickles. Incorporating available organic matter into the soil causes an

explosive proliferation of pathogenic "sugar fungi" such as Physium and

Rhizoctonia. Therefore, many crop failures have occurred when seeds were

sown just after application of the "compost". Some farmers' groups are now

making bokashi from this garbage compost by drying it, mixing it with other

materials, and composting this mixture further. "EM Bokashi"

Apart from compost made from household wastes, farmers are also making

bokashi, using EM products under anaerobic conditions, from other ordinary

organic materials. Higa claims in his book that a revolution in agriculture is

possible, since the use of EM products increases greatly the yield of crops. For

Page 290: Agricultural Applications for Pine-Based BioChar

6/25/09 7:07 AMMicrobial Fertilizers in Japan

Page 10 of 16http://www.agnet.org/library/eb/430/

possible, since the use of EM products increases greatly the yield of crops. For

example, rice fertilized with EM bokashi produced brown rice yields of more

than 12 mt/ha.

I. Goto and a colleague of Tokyo Agricultural University carried out some field

experiments in cooperation with the EM company. They analyzed EM bokashi

supplied by the company and also bokashi supplied by farmers, and showed

that the samples contained on average 40 kg N, 30 Kg P2O5 and 13 kg K2O

per 1000 kg, much the same as ordinary bokashi (Goto and Muramoto 1995).

EM recommends the application of 1000 kg/ha of EM bokashi, but the input of

40 kg of nitrogen contained in this amount is not sufficient for the full growth

of vegetables. Goto examined the crops of farmers who use EM bokashi, and

found that the yield of lettuce from 1000 kg of EM bokashi was much the

same as that from ordinary commercial organic fertilizer, when the nitrogen

levels were adjusted. He also found that farmers generally applied 30 mt/ha

of cattle manure in addition to the EM bokashi, and pointed out that the yields

obtained by the farmers may have been greatly supported by the manure.

When in fact vegetables were cultivated with only 1000 kg/ha EM bokashi

alone in the fields of the University, he found that the yields of many

vegetables were only half those obtained by ordinary practices (Muramoto

and Goto 1995). Later, researchers of EM reported that when the nitrogen

level was adjusted to 100 kg/ha, EM bokashi (2500 kg/ha) yielded the same

quantity of lettuce as chemical fertilizer (Iwahori et al. 1996). Therefore, they

insisted that the standard amount of EM bokashi which should be applied was

2500 kg/ha for lettuce, and criticized Goto for using an insufficient amount.

These experiments seem to show that EM bokashi is no revolutionary step

forward, because when it is used, vegetables need the same level of nitrogen

as when they are given chemical fertilizers. Goto claims that EM bokashi is

nothing but ordinary bokashi, and has no special qualities (Goto et al. 1996).

Utilization of Azolla in Organic Paddy Fields

Although Azolla has seldom been utilized by Japanese farmers, regardless of

experimental results in research institutes, the recent trend towards organic

farming shows signs of changing the situation. A common practice in organic

rice production is to release ducklings, usually hybrids of domestic ducks and

wild ones, into paddy fields. The webs of their feet disturb the soil surface in

the shallow water, and remove the young seedlings of weeds, thus controlling

weeds without herbicides. I. Watanabe, who studied Azolla at the

International Rice Research Institute, speculated that this soil disturbance

would suspend soil particles in the water, thus increasing the availability of

phosphate adsorbed on soil particles to Azolla floating on the water surface.

He made contact with a farmer and proposed his idea. They carried out

experiments in 1995 in the farmer's paddy field, inoculating Azolla in early

May without fertilizer. The Azolla increased very rapidly, and covered the

whole field just like a carpet. The Azolla biomass was estimated to be 28

mt/ha on June 25. Subsequently, some of the Azolla was eaten by birds, and

was reduced by about 30% by July 14. Since the Azolla supplied too much

nitrogen to the rice, some of the plants collapsed, and the yield of brown rice

was only 4.36-4.5 mt/ha (Huruno 1995). This experiment is likely to trigger

off widespread utilization of Azolla in Japan.

Page 291: Agricultural Applications for Pine-Based BioChar

Plant and Soil 244: 273–279, 2002.© 2002 Kluwer Academic Publishers. Printed in the Netherlands.

273

Inoculation with arbuscular mycorrhizal fungi: the status quoin Japan and the future prospects

Masanori Saito1,3 & Takuya Marumoto2

1Department of Grassland Ecology, National Institute of Livestock and Grassland Science, Nishi-nasuno, Tochigi,329-2793, Japan; 2Faculty of Agriculture, Yamaguchi University, Yoshida, Yamaguchi, 753-8515, Japan;3Corresponding author∗

Received 21 August 2001. Accepted in revised form 12 December 2001

Key words: charcoal, degraded soil, inoculum, revegetation, VA mycorrhizal fungi

Abstract

Inoculation of arbuscular mycorrhizal (AM) fungi has potential benefits in not only sustainable crop productionbut also environmental conservation. However, the difficulty of inoculum production due to the obligate biotrophicnature of AM fungi has been the biggest obstacle to putting inoculation into practice. Nevertheless, several compan-ies have sought to produce inoculum of AM fungi. Firstly in this review, the present status of inoculum productionand its use in Japan is described. Secondly, although the effectiveness of inoculation is primarily limited by environ-mental and biological factors, some possible ways to improve inoculation performance are discussed. Approachesinclude use of chemicals to increase spore germination and colonization and soil application of charcoal to providea microhabitat for AM fungi to colonize and survive.

Introduction

Inoculation with arbuscular mycorrhizal (AM) fungihas potential value for improved crop production, andnumerous trials have been conducted since the 1970s(Gianinazzi et al., 1990; Jarstfer and Sylvia, 1993,1999; Kurle and Pfleger, 1994; Menge, 1984; Pow-ell, 1984; Safir, 1994; Sieverding, 1991). However,the difficulty in inoculum production due to the ob-ligate biotrophic nature of AM fungi has been thebiggest obstacle to putting inoculation into practice.At present, nevertheless, several companies all overthe world have commercialized the inoculum of AMfungi (http://dmsylvia.ifas.ufl.edu/commercial.htm).

Sustainability of agricultural systems has been dis-puted because of environmental pollution and deteri-oration due to ‘modern’ and ‘intensive’ agriculture(Matson et al., 1997). The significance of AM fungi tothe sustainability of the environment has been realizedin arable and natural lands because AM fungi affectthe plant community structure in various ways (Van

∗ FAX No: +81-287-36-6629. E-mail: [email protected]

der Heijden et al., 1998). Therefore, for rehabilitationof deteriorated or degraded land, inoculation with AMfungi can be considered an effective option (Miller andJastrow, 1992; Pfleger et al., 1994). Such a trend mayencourage the inoculum production companies.

The intention of this is not to review numerouspapers on inoculum production of AM fungi, but topresent the current status of inoculum production andits use in Japan. Secondly, we discuss some pos-sible ways to improve inoculation performance and thefuture prospects in inoculation technology.

Inoculum production in Japan

In the 1940s in Japan, the growth promoting effectof endomycorrhizal fungi on plant growth was estab-lished by a pioneering scientist, T. Asai (Asai, 1943,1944). However, his work was neglected until re-search on inoculum production of AM fungi boomedin the 1980s in Japan (Ogawa, 1987). In the early1990s some companies started commercial productionof inoculum of AM fungi.

Page 292: Agricultural Applications for Pine-Based BioChar

274

The Ministry of Agriculture, Forestry and Fisher-ies (MAFF) of the Japanese Government has promotedthe introduction of various technologies to reduceagrochemical inputs to arable lands for sustainableagriculture. MAFF recognized that AM inocula areuseful to reduce phosphate fertilizer application, andin 1996 approved AM inocula as soil amendmentsby an ordinance of the Soil Productivity Improve-ment Law. The ordinance regulates the quality of 12types of amendments such as zeolite, peat, and otherorganic/inorganic materials that are effective for theimprovement of soil productivity. The ordinance spe-cifies that a quality guarantee be labeled on the outsideof the product container. In the case of AM fungi, thefollowing items are required; (i) name and address ofproducer, (ii) raw materials, (iii) symbiotic efficiency,(iv) efficacy, (v) recommended application rate, (vi)storage conditions, (vii) expiration date. In item (ii),carrier material, such as peat or zeolite, is indicated.In item (iii), the symbiotic efficiency is expressed aspercentage of colonization by the inoculum of a spe-cific test plant such as Welsh onion under standardconditions. In item (iv), the producer should note thatthe inoculum is not effective for some crops speciesbelonging to the Brassicaceae and Chenopodiaceae,and that the inoculum may not be effective in soilsrich in available phosphate. This quality guarantee isimportant to expel poor quality microbial inocula fromthe market place.

At present, three companies, Central Glass Co.,Idemitsu Kosan Co., and Osaka Gas Co., produceAM inoculum. The MAFF statistics indicate that 28– 83 tons of the inocula were supplied per year from1997 to 1999. Much of inoculum was supplied fornon-agricultural applications such as rehabilitation ofdegraded or devegetated landscapes. Because enduseof the inocula is not within the framework of the or-dinance, the above statistics do not include the supplyfor such non-agricultural objectives.

Although the detailed procedure for inoculum pro-duction is proprietary, these inocula are produced un-der glasshouse conditions based upon the pot culturetechnique (Jarstfer and Sylvia, 1993). One companyuses expanded clay as a potting medium (Dehne andBackhaus, 1986). Others extract and concentrate thepropagules of AM fungi from potting media, and car-riers such as peat are mixed with the propagules. Theinocula are mainly sold to horticulture farmers. Someformulations are specific for each crop species by tak-ing into account factors such as host plant species,

AM fungal species, and the handling of inoculum intohorticultural practices.

The cost of inoculum production is a serious prob-lem because the inocula are not competitive in pricewith phosphorus fertilizer. Even if farmers understandthe significance of sustainable agricultural systems,the reduction of phosphorus inputs by using AMfungal inocula alone cannot justify the use of theinocula except in the case of high value crops. An-other serious problem is control of phytopathogenicmicro-organisms. At present, the inoculum producedis not completely free from pathogens, even though theproducers attempt to control pathogens with variousagrochemicals. Farmers are very aware of the risk ofpathogens, so they do not accept inoculum containinghost root residues. Although pieces of root colonizedwith AM fungi, especially Glomus intraradices andrelated species, function well as propagules, the com-panies remove such residue of host roots from theirproducts.

Rehabilitation of a volcanic deposit-affected area

Inocula of AM fungi are expected to be substantiallybeneficial in the establishment of vegetation in de-graded or bare landscapes (Miller and Jastrow, 1992;Pfleger et al., 1994; Requena et al., 2001). Currentlyin Japan, AM fungal inocula has been applied mostsuccessfully in revegetation of land by devastated byvolcanic activities (Marumoto et al., 1996, 1999).

In the Japanese islands, active volcanos sometimesseriously damage large areas and destroy human activ-ities. Newly deposited volcanic materials are very lowin nutrients available for plants and very susceptible toerosion. The revegetation process is therefore slow, sothe acceleration of revegetation is required not only forenvironmental conservation but also for the preventionof erosion. In 1990, Mt. Fugendake (32◦ 45′ N, 130◦19′ E) began volcanic activities after 200 years of in-activity. During 1991 – 1994, several large pyroclasticflows completely destroyed the previous vegetation onthe mountain slope. More than 1000 ha of the moun-tain slope and the base of the mountain were coveredwith a thick pyroclastic deposit.

Immediately after volcanic activities ceased in1995, a revegetation project was started. Because thearea to be revegetated was on a steep slope of the vol-cano and was still a hazard, the workers were not ableto access the revegetation project site during the firsta few years. Therefore, revegetation materials were

Page 293: Agricultural Applications for Pine-Based BioChar

275

Figure 1. Revegetation in a volcano-devastated area of Mt. Fugendake, Japan. (A) Application of bags containing AM fungal inoculum onthe pyroclastic flow. (B) Germination of plants from seeds contained in the bag. (C) A landscape of the pyroclastic flow 3 weeks after theapplication. (D) A landscape in the same site as (C) 3 years after the application.

applied from the air by a helicopter in 1995. A bag ofunwoven polyester fabric, weighing about 2 kg, con-tained plant seeds, AM fungal inocula, slow-releasechemical fertilizer, and some carriers such as peatmoss. Seeds of various wild grass and shrub specieswere used: Miscanthus sinensis, Artemisia princeps,Lespedeza cuneata and others. Gigaspora margaritaand Glomus sp. were used as the fungal inocula. About3000 bags per ha were applied to the target-area (Fig-ure 1 A, B). The grass plants that germinated from thebag were highly colonized with AM fungi. Recently,the inoculated fungal species were still proliferating 6years after application (unpublished). Thus, the AMfungi and some nutrients in the bag supported thegrowth of the plants contained in the bag in the nutrientpoor pyroclastic flow. The site where the bags werelocated became a base from which the plants reve-getated the site and prevented serious erosion (Figure1 C, D). This ‘bag’ method reduced the amount ofrevegetation materials, including inoculum, and estab-lished plant coverage more effectively than broadcastapplication of revegetation materials to the whole area.Because the local government urgently requested the

Figure 2. Schematic model of the effectiveness of AM fungal in-oculation in relation to indigenous AM fungal potential and soilphosphorus availability.

revegetation project, the cost for inoculum was nottaken into account in the program.

Improvement in inoculation performance

The effectiveness of AM fungal inoculation is affectedby various environmental and biological factors, espe-

Page 294: Agricultural Applications for Pine-Based BioChar

276

cially the phosphorus availability in soil and the in-oculum potential of indigenous AM fungi (Gianinazziet al., 1990). In soil low in phosphorus availabilityand indigenous AM fungi, the effectiveness of inocu-lation is expected to be the greatest (Figure 2). Thiswas demonstrated in the revegetation project describedabove. Field trials in Japan with a commercial in-oculum indicate that the efficacy is generally highest inAndisols which show high phosphate fixing capacity(Ueda and Kubo, pers. comm.). On the other hand, insoils rich in available phosphorus, the effectiveness isreduced low and the inoculation might even reduce thecrop performance (Peng et al., 1993).

Although the effectiveness of inoculation isprimarily limited by inoculum potential and P avail-ability, there are possible ways to improve inoculationperformance. The inoculation process can be dividedinto three stages: (i) spore germination, (ii) colon-ization, and (iii) growth of extraradical hyphae andsporulation. The potential improvement of inoculumperformance is discussed for each stage of this pro-cess.

Spore germination

The propagules (mainly spores) in the inoculumshould be active and should immediately initiategrowth after inoculation. Many chemical compoundsand unidentified fractions of various extracts havebeen found to stimulate spore germination and hy-phal extension (Azcón–Aguilar et al., 1999; Hepper,1984; Ishii et al., 1997; Nagahashi and Douds, 2000;Nair et al., 1991). Addition of these compounds tothe inoculum may improve the germination rate andincrease the colonization potential of the inoculum(Tawaraya et al., 1998).

Spores of AM fungi often show dormancy, al-though this phenomenon has not yet been criticallyinvestigated. Storing the spores for a period from someweeks to some months under cold temperature usuallybreaks spore dormancy (Hepper, 1984; Safir et al.,1990). G. margarita often shows spore dormancy anda very low germination rate unless elevated temperat-ure treatment is used to break the dormancy (Figure 3).Breaking the spore dormancy technique can increaseinitial colonization and may enhance the effectivenessof the inoculation (Miyamoto et al., 1994).

Root colonization

Arbuscular mycorrhizal colonization is comprisedof a series of complicated processes from recogni-

Figure 3. Effect of temperature regime on spore germination ofGigaspora margarita (modified from Miyamoto et al., 1994). Thespores collected from a pot culture medium were mixed with cal-cined attapulgite and were kept for 1 – 28 days at different temperat-ures. After the treatment, 200 spores were extracted by wet-sieving,and the germination rates for 2 weeks at 30 ◦ C were examined.

Figure 4. Effect of charcoal application on the growth of alfalfa andindigenous AM fungi in a pot experiment. Alfalfa was grown in aclay loam infertile Andisol with N (2 g m−2) and K (8.3 g m−2)fertilization under different phosphate fertilizer application levels.L, M and H in P level was equivalent to 0, 2.2 and 4.4 g P m−2,respectively. Charcoal made of a mixture of barks from deciduoustrees was applied at a rate of 1 kg m−2 (modified from Nishio andOkano, 1991).

tion between the fungi and host plant to arbusculeformation (Nagahashi, 2000). Root exudates containcompounds that promote colonization by AM fungi(Nagahashi, 2000; Tawaraya et al., 1998). Sincethe colonization process may depend on a balanceamong phytohormones (Ludwig–Müller, 2000), andsome phytohormones affect colonization by AM fungi(Ghachtouli et al., 1996). Application of a flavonoid,formononetin at time of inoculation stimulated colon-ization by AM fungi (Fries et al., 1998; Koide et al.,1999). Application of such compounds at transplant-ing may increase inoculation performance.

Page 295: Agricultural Applications for Pine-Based BioChar

277

Growth of extraradical hyphae and sporulation

Nutrient absorption of mycorrhizal plants from soildepends upon the function of extraradical hyphae. Soilmanagement that assures the extraradical hyphae tobe fully functioning may enable improvement of in-oculation performance. Application of charcoal to soilstimulated the colonization of crops by indigenousAM fungi (Nishio and Okano, 1991; Ogawa et al.,1983; Saito, 1990) (Figure 4). The effect of char-coal was ascribed to its physioco-chemical properties.Charcoal is porous, weakly alkaline, and does notserve as a substrate for saprophytes. AM fungi sensit-ive to competition from saprophytes can easily extendtheir extraradical hyphae into charcoal buried in soiland sporulate in the particles (Ogawa, 1987). Charcoalparticles act as a micro-habitat for AM fungi to surviveand later grow into the soil, which makes charcoalsuitable as a carrier of AM fungal inoculum (Ogawa,1989). Charcoal can be applied in a large scale in in-fertile soils rich in indigenous AM fungi, but its costis not competitive with inorganic fertilizers at least inJapan.

Although many inoculation studies have been con-ducted, there is still little known about how AM fungiproliferate and survive in soil and how they affectthe following crop. In arable lands, various crops arecultivated in sequence. Absence of a host plant, cul-tivation of non-host crops, or long fallow negativelyaffect the population of AM fungi in soil (Kurle andPfleger, 1994; Safir, 1994; Thompson, 1987). Onthe other hand, some mycotrophic crops increase thegrowth of the succeeding mycotrophic crop (Ariharaand Karasawa, 2000; Karasawa et al., 2001). Irrespect-ive of inoculation, therefore, crop sequence should betaken into account when predicting the responses ofAM fungi in a sustainable agricultural system.

Future prospects

Commercial inoculum production of AM fungi hasbeen increasing during the past decade, althoughthe future prospect of the business is still uncer-tain. The obligate biotrophic nature of AM fungiinevitably raises the cost for inoculum produc-tion. Soilless culture systems seem to be prom-ising, because this enables the production of cleanspores (Jarstfer and Sylvia, 1999). A dual cultureof transformed carrot hairy root with AM fungiis an excellent system for providing the sterile

spores for research purposes (Glomales in vitro col-lection; http://www.mbla.ucl.ac.be/ginco-bel/anglais/cadre.htm) but is unsuitable for commercial inoculumproduction. Even if mass production system of thedual culture of lower production cost was developed(Jolicoeur et al., 1999), it is uncertain whether the useof spores produced from roots transformed by a patho-genic bacterium, Agrobacterium rhizogenes, would beallowed for inoculation in field.

In the field application of any microbial inoculum,it is essential to verify that the inoculated micro-organisms caused the plant response in field. Variousmolecular techniques have been developed to dis-tinguish the inoculated strain from other indigenousstrains. However, these techniques to identify AMfungi are still not routinely used because of geneticheterogeneity in AM fungi. Although ITS (internaltranscribed spacer) sequence of rDNA is widely usedfor discrimination among strains in other fungal taxa,application of the ITS sequence for identification ofAM fungi is complicated. For example, ITS sequencesof 3 isolates of G. margarita including BEG34 andtwo Japanese isolates showed that the sequences weretoo diverse to discriminate the isolates; the accessionnumber of the sequence data used were AJ006838–50for isolates BEG34, AB048619–29 for MAFF520052,and AB048607–18 for MAFF520054, respectively(Saito, 2000). Single stranded conformation poly-morphism (SSCP) of the large ribosomal subunit genemay be promising to discriminate isolates of severalGlomus spp. (Kjøller and Rosendahl, 2000), whilethe sequence diversity in this region is very high(Clapp et al., 2001). We need more reliable molecu-lar techniques to trace the inoculated fungi. Therefore,from the standpoint of not only basic biological in-terest but also application, molecular genetics of thesemultinucleate fungi is of high research priority.

It is now well recognized that inoculation of AMfungi has a potential significance in not only sustain-able crop production, but also environmental conser-vation. However, the status quo of inoculation is farfrom practical technology that can be widely used inthe field. Together, a basic understanding of the bio-logy of AM fungi and an improvement in inoculumproduction and inoculation technology are required toadvance management of these fungi.

Acknowledgements

The preparation of this paper was supported in part by

Page 296: Agricultural Applications for Pine-Based BioChar

278

Promotion of Basic Research Activities for InnovativeBiosciences (PROBRAIN), Bio-oriented TechnologyResearch Advancement Institution, Japan. The authorsare grateful to Central Glass Co. Ltd., Idemitsu KosanCo. Ltd., and Osaka Gas Co. Ltd. for valuable inform-ation on inoculum production and to Prof. R. Koidefor his critical reading of this manuscript. MS is grate-ful to Dr. Wu Chi–Guang for fruitful discussions oninoculum production.

References

Arihara J and Karasawa T 2000 Effect of previous crops on arbuscu-lar mycorrhizal formation and growth of succeeding maize. SoilSci.Plant Nutr. 46, 43–51.

Asai T 1943 Die Bedeutung der Mykorrhiza fur das Pflanzenleben.Jpn. J. Bot. 12, 359–436.

Asai T 1944 Uber die Mykorrhizenbildung der Leguminosen-Pflanzen. Jpn. J. Bot. 13, 463–485.

Azcón–Aguilar C, Bago B and Barea J 1999 Saprophytic growth ofarbuscular mycorrhizal fungi. In Mycorrhiza. Eds. A Varma andB Hock. pp. 391–408. Springer-Verlag, Berlin.

Clapp J P, Rodriguez A and Dodd J C 2001 Inter- and intra-isolaterRNA large subunit variation in Glomus coronatum spores. NewPhytol. 149, 539–554.

Dehne H W and Backhaus G F 1986 The use of vesicular-arbuscularmycorrhizal fungi and plant production. I. Inoculum production.J. Plant Dis. Protect. 93, 415–424.

Fries L L M, Pacovsky R S and Safir G R 1998 Influence ofphosphorus and formononetin on isozyme expression in theZea mays- Glomus intraradices symbiosis. Physiol. Plant. 103,172–180.

Ghachtouli N E, Martin–Tanguy J, Paynot M and Gianinazzi S 1996First report of the inhibition of arbuscular mycorrhizal infec-tion of Pisum sativum by specific and irreversible inhibition ofpolyamine biosynthesis by giberellic acid treatment. FEBS Lett.385, 189–192.

Gianinazzi S, Trouvelot A and Gianinazzi–Pearson V 1990 Con-ceptual approaches for the rational use of VA endomycorrhizaein agricultrure: Possibilities and limitations. Agric. Ecosyst.Environ. 29, 153–161.

Hepper C M 1984 Isolation and culture of VA mycorrhizal (VAM)fungi. In VA Mycorrhiza. Eds. C L Powell and D J Bagyaraji. pp.95–112. CRC Press, Boca Raton, FL.

Ishii T, Narutaki A, Sawada K, Aikawa J, Matsumoto I and KadoyaK 1997 Growth stimulatory substances for vesicular-arbuscularmycorrhizal fungi in Bahia grass (Paspalum notatum Flugge.)roots. Plant Soil 196, 301–304.

Jarstfer A G and Sylvia D M 1993 Inoculum produciton and in-oculation strategies for vesicular-arbuscular mycorrhizal fungi.In Microbial Ecology. Application in Agricultural and Environ-mental Management. Ed. F B Metting Jr. pp. 349–377. MarcelDekker, New York.

Jarstfer A G and Sylvia D M 1999 Aeroponic culture of VAM fungi.In Mycorrhiza. Structure, Function, Molecular Biology and Bio-technology. 2nd edition. Eds. A Varma and B Hock. pp. 427–441.Springer-Verlag, Berlin.

Jolicoeur M, Williams R D, Chavarie C, Fortin J A and Archam-bault J 1999 Production of Glomus intraradices propagules, an

arbuscular mycorrhizal fungus, in an airlift bioreactor. Biotech.Bioengineer. 63, 224–232.

Karasawa T, Kasahara Y and Takebe M 2001 Variable response ofgrowth and arbuscular mycorrhizal colonization of maize plantsto preceding crops in various types of soils. Biol. Fertil. Soils 33,286–293.

Kjøller R and Rosendahl S 2000 Detection and arbuscular my-corrhizal fungi (Glomales) in roots by nested PCR and SSCP(Single Stranded Conformation Polymorphism). Plant Soil 226,189–193.

Koide R T, Landherr L L, Besmer Y L, Detweiler J M and HolcombE J 1999 Strategies for mycorrhizal inoculation of six annualbedding plant species. Hortscience 34, 1217–1220.

Kurle J E and Pfleger F L 1994 The effects of cultural practices andpesticides on VAM fungi. In Mycorrhizae and Plant Health. Eds.F L Pfleger and R G Linderman. pp. 101–131. APS Press, St.Paul, MN.

Ludwig–Müller J 2000 Hormonal balance in plants during col-onization by mycorrhizal fungi. In Arbuscular Mycorrhizas:Physiology and Function. Eds. Y Kapulnik and D D Douds.pp. 263–286 Kluwer Academic Publishers, Dordrecht, TheNetherlands.

Marumoto T, Okabe H, Ezaki T, Nishiyama M and Yamamoto K1996 Application of symbiotic micro-organisms to soil conser-vation and reforestation. Proceeding of BIO JAPAN, 242–250.

Marumoto T, Kohno N, Ezaki T and Okabe H 1999 Reforestation ofvolcanic devastated land using the symbiosis with mycorrhizalfungi. Soil Microorganisms 53, 81–90.

Matson PA, Parton W J, Power A G and Swift M J 1997 Agriculturalintensification and ecosystem properties. Science 277, 504–509.

Menge JA 1984 Inoculum production. In VA Mycorrhiza. Eds. C LPowell and D J Bagyaraji. pp. 187–203. CRC Press, Boca Raton,FL.

Miller R M and Jastrow J D 1992 The application of VA mycor-rhizae to ecosystem restoration and reclamation. In MycorrhizalFunctioning. Ed. M J Allen. pp. 438–467. Chapman and Hall,New York.

Miyamoto H, Sakai M and Miyamoto J 1994 Production of sporesof VA mycorrhizal fungi. Japanese Patent Pub. No. 06-277048.

Nagahashi G 2000 In vitro and in situ techniques to examine the roleof root exudates duringAM fungus-host interactions. In Arbus-cular Mycorrhizas: Physiology and Function. Eds. Y Kapulnikand D D Douds. pp. 287–300. Kluwer Academic Publishers,Dordrecht, The Netherlands.

Nagahashi G and Douds D D 2000 Partial separation of root exud-ate components and their effects upon the growth of germinatedspores of AM fungi. Mycol.Res. 104, 1453–1464.

Nair M G, Safir G R and Siqueira J O 1991 Isolation and identifica-tion of vesicular-arbuscular mycorrhiza-stimulatory compoundsfrom clover (Trifolium repens) roots. Appl. Environ. Microbiol.57, 434–439.

Nishio M and Okano S 1991 Stimulation of the growth of alfalfaand infection of roots with indigenous vesicular-arbuscular my-corrhizal fungi by the application of charcoal. Bull. Natl. Grassl.Res. Inst. 45, 61–71.

Ogawa M 1987 Sakumotsu to tsuchi wo tsunagu kyousei-biseibutsu(Symbiotic Microorganisms liking Crop with Soil). NobunkyoPub., Tokyo, Japan. 241 pp.

Ogawa M 1989 Inoculation methods of VAM fungi: Charcoal ballmethod and rice hulls method. In Recent Advances in MicrobialEcology. Eds. T Hattori T et al., pp. 247–252. Japan ScientificSocieties Press, Tokyo.

Page 297: Agricultural Applications for Pine-Based BioChar

279

Ogawa M, Yambe Y and Sugiura G 1983 Effect of charcoal on theroot nodule and VA mycorrhiza formation of soybean. Abst. 3rdInt. Mycol. Cong. pp. 578. Tokyo.

Peng S, Eissenstat D M, Graham J H, Williams K and HodgeN C 1993 Growth depression in mycorrhizal citrus at high-phosphorus supply. Plant Physiol. 101, 1063–1071.

Pfleger F L, Stewart E L and Noyd R K 1994 Role of VAM fungiin mine land reclamation. In Mycorrhizae and Plant Health. Eds.F L Pfleger and R G Linderman. pp. 47–81. APS Press, St. Paul,MN.

Powell C L 1984 Field inoculation with VA mycorrhizal fungi. InVA Mycorrhiza. Eds. C L Powell and D J Bagyaraji. pp 205–222.CRC Press, Boca Raton, FL.

Requena N, Perez–Solis E, Azcón–Aguilar C, Jeffries P and BareaJ 2001 Management of indigenous plant-microbe symbioses aidsrestoration of desertified ecosystems. Appl. Envrion. Microbiol.67, 495–498.

Safir G R 1994 Involvement of cropping systems, plant producedcompounds and inoculum production in the functioning of VAMfungi. In Mycorrhizae and Plant Health. Eds. F L Pfleger and RG Linderman. pp. 239–259. APS Press, St. Paul, MN.

Safir G R, Coley S C, Siqueira J O and Carlson P S 1990 Im-provement and synchronization of VA mycorrhiza fungal sporegermination by short-term cold storage. Soil Biol. Biochem. 22,109–111.

Saito M 1990 Charcoal as a micro-habitat for VA mycorrhizal fungi,and its implication. Agric. Ecosyst. Environ. 29, 341–344.

Saito M 2000 Use of VA mycorrhizal fungi. In Biseibutsu noShizaika: Kenkyu no Saizennsen (Micro-organisms Resources:Its Characteristics and Utilization). Eds. T Suzui, N Okada, HKunimi, T Makino, M Saito and K Miyashita. pp. 57–70. SoftScience Inc., Tokyo, Japan.

Sieverding E 1991 Vesicular-arbuscular mycorrhiza managementin tropical agrosystems. Deutsche Gesellschaft fuer TechnischeZusammenarbeit GmbH, Eschborn. 371 pp.

Tawaraya K, Watanabe S, Yoshida E and Wagatsuma T 1996 Effectof onion (Allium cepa) root exudates on the hyphal growth ofGigaspora margarita. Mycorrhiza 6, 57–59.

Tawaraya K, Hashimoto K and Wagatsuma T 1998 Effect ofroot exudate fractions from P-deficient and P-sufficient onionplants on root colonisation by the arbuscular mycorrhizal fungusGigaspora margarita. Mycorrhiza 8, 67–70.

Thompson J P 1987 Decline of vesicular-arbuscular mycorrhizaein long fallow disorder of field crops and its expressionn inphosphorus deficiency of sunflower. Aust. J. Agric. Res. 38,847–867.

Van der Heijden M G A, Klironomos J N, Ursic M, MoutoglisR, Streitwolf–Engel T, Boller T, Wiemken A and Sanders I R1998 Mycorrhizal fungal diversity determines plant biodiversity,ecosystem variability and productivity. Nature 396, 69–72.

Page 298: Agricultural Applications for Pine-Based BioChar

lable at ScienceDirect

Soil Biology & Biochemistry 41 (2009) 1301–1310

Contents lists avai

Soil Biology & Biochemistry

journal homepage: www.elsevier .com/locate/soi lb io

Effect of biochar amendment on soil carbon balance and soil microbial activity

S. Steinbeiss a,*, G. Gleixner a, M. Antonietti b

a Max Planck Institute for Biogeochemistry, Hans-Knoell-Str. 10, 07745 Jena, Germanyb Max Planck Institute of Colloids and Interfaces, Am Muehlenberg 1, 14476 Potsdam-Golm, Germany

a r t i c l e i n f o

Article history:Received 28 July 2008Received in revised form16 March 2009Accepted 21 March 2009Available online 17 April 2009

Keywords:Biochar13C labelingPLFAResidence timesGreenhouse experiment

* Corresponding author at: Institute of GroundwatMunich, Ingolstaedter Landstr. 1, 85764 Neuherberg, G2916; fax: þ49 (0) 89 3187 3361.

E-mail address: sibylle.steinbeiss@helmholtz-mue

0038-0717/$ – see front matter � 2009 Elsevier Ltd.doi:10.1016/j.soilbio.2009.03.016

a b s t r a c t

We investigated the behavior of biochars in arable and forest soil in a greenhouse experiment in orderto prove that these amendments can increase carbon storage in soils. Two qualities of biochar wereproduced by hydrothermal pyrolysis from 13C labeled glucose (0% N) and yeast (5% N), respectively. Wequantified respiratory losses of soil and biochar carbon and calculated mean residence times of thebiochars using the isotopic label. Extraction of phospholipid fatty acids from soil at the beginning andafter 4 months of incubation was used to quantify changes in microbial biomass and to identifymicrobial groups utilizing the biochars. Mean residence times varied between 4 and 29 years,depending on soil type and quality of biochar. Yeast-derived biochar promoted fungi in the soil, whileglucose-derived biochar was utilized by Gram-negative bacteria. Our results suggest that residencetimes of biochar in soils can be manipulated with the aim to ‘‘design’’ the best possible biochar fora given soil type.

� 2009 Elsevier Ltd. All rights reserved.

1. Introduction

There is a large imbalance between carbon release to theatmosphere and carbon uptake by other compartments that leadsto a continued increase in atmospheric CO2 equivalent to a rate of4.1�109 tons of carbon per year (IPCC, 2007). Thus, it should be ofutmost importance to develop new methods to retain carbon ina stable form that can be stored outside of the atmosphere forlonger time periods. In this context, biochars have attracted a lotof research within the last years basically with focus on theapplication of biochars to soils, where they not only contribute tocarbon storage but at the same time act as fertilizers (Glaser et al.,2001; Marris, 2006). Although a positive effect of biocharamendments on crop yields was already known to ancientcultures (Glaser, 2007), to date little is known about the effects ofbiochar addition on soil microorganisms and consequently on thesoil carbon balance.

There is a huge variability in physical biochar structuresdepending on the parent material and the conditions present attheir formation, which leads to quite different turnover times insoils (Czimczik and Masiello, 2007). Large charcoal particles origi-nated from forest wildfires have been shown to remain in soils for

er Ecology, Helmholtz Centreermany. Tel.: þ49 (0) 89 3187

nchen.de (S. Steinbeiss).

All rights reserved.

thousands of years (Pessenda et al., 2001; Gouveia et al., 2002;Gavin et al., 2003), however, smaller particles as derived fromgrassland burning can hardly be detected in steppe ecosystems(Forbes et al., 2006). The physical and chemical structure, e.g.surface area and condensation grade, and the particle size ofsynthetic biochars can be modified in technical processes (Titiriciet al., 2007a,b) opening the question about the stability of syntheticbiochars in soils.

There have been developed numerous chemical and technicalmethods to produce charcoals from a variety of biomass materials(Antal and Gronli, 2003; Marris, 2006; Titirici et al., 2007a). Eachproduction method needs a certain energy supply to activate thereactions and results in completely different biochar structures.However, hydrothermal carbonization looks especially promisingenergy- and process-wise. Once activated in a continuous process,20–30% of the energy bound to the original biomass are liberatedin the process, while keeping practically all carbon bound to thefinal structure (Titirici et al., 2007b). No extensive biomassmaterial preparation or costly product isolation procedures arerequired. Also soft, wet and low grade biomass can be carbonized,making industrial biowaste, sludges or green household waste aptto carbonization. A crude estimate of such directly accessible andmostly already collected biowaste sums up to about 25�106 tonsper year in Germany, or to 10�109 tons per year worldwide.Thus, we deal with a potential measure to cure at least significantparts of the CO2 problem, appropriate biological stability in soilsand an added biological benefit provided. The optimal biochar

Page 299: Agricultural Applications for Pine-Based BioChar

S. Steinbeiss et al. / Soil Biology & Biochemistry 41 (2009) 1301–13101302

combining fertilizer and carbon storage function in soils wouldactivate the microbial community leading to nutrient release andfertilization and would add to the decadal soil carbon pool. Thestructural and chemical properties of biochars that are drivingtheir decomposition or stabilization in soils still have to beidentified.

In our current study, we added two types of hydrothermallysynthesized biochar, a highly condensed, nitrogen free biocharexpected to be stable in soil, and a nitrogen containing biocharwith low condensation grade expected to be easily degradable,to different soils with the aim to answer the followingquestions:

1) How stable are biochars produced by this method in differentsoils?

2) How do inherited soil microorganisms react on the addition ofsuch biochars?

3) Is the stability of these biochars tuneable by varying thecondensation grade and chemical composition of the biochar?

2. Materials and methods

2.1. Soil sampling and characterization

Soils used for the greenhouse experiment were sampled at thecontinued arable plot of the Jena Experiment (Roscher et al., 2004)and at the old growth forest field site of the Hainich National Park(Knohl et al., 2003), respectively. The soil of the Jena Experimentwas classified as Eutric Fluvisol (FAO, 1998) and had a texture of 23%clay, 64% silt and 13% sand (Kreutziger, personal communication).The soil of the Hainich field site was a fertile Cambisol containing40% clay, 56% silt and 4% sand (Knohl et al., 2003). In September2007 the top 5 cm of soil were sampled at both field sites, passedthrough a sieve with a mesh size of 2 mm and partitioned for PLFAextraction (fresh soil), for soil column filling and for chemicalanalyses (dried at 40 �C), respectively.

Soil carbon and nitrogen concentrations were measured fromball-milled sub-samples by elemental analysis (Elementar-analysator vario Max CN, Elementar Analysensysteme GmbH,Hanau, Germany) before and after incubation. Organic carbonconcentration was determined by calculating the differencebetween elemental analyses of the total carbon concentration andsoil inorganic carbon concentration (Steinbeiss et al., 2008b). Ford13C analysis of the soil organic carbon, 3 mg ground sample wasweighed in small tin capsules. The arable soil contained about 1.6%inorganic carbon, which was removed by treatment with 120 ml ofsulfurous acid (5–6% SO2, Merck, Darmstadt, Germany) prior toisotope analysis (Steinbeiss et al., 2008a). Isotope ratios weremeasured by a coupling of an elemental analyzer (EA 1110) with anisotope ratio mass spectrometer (DeltaPlusXL, Thermo Finnigan,Bremen, Germany). All values represent repeated measurementswith a standard deviation of less than 0.3& and were calibratedversus V-PDB using CO2 as reference gas (Werner and Brand, 2001).Soil analyses were summarized in Table 1.

Table 1Basic characterization of biochars and soils; sd refers to standard deviation of replicatedcalculated y-intercept was given instead (see Methods section for details).

Glucose-derived biochar sd Yea

C content (%) 64.6 0.5 67N content (%) 0.0 0.0 5d13C value (&) 3.6 0.15 �2d13C value of CO2 gas in the controls (&)

2.2. Biochar production and characterization

Stable carbon isotopes have proven to reliably trace the flow ofcarbon in various soil organic matter pools (Gleixner et al., 2001)and into soil microorganisms using the compound-specific 13Ccontent of phospholipid fatty acids (Rubino et al., 2007; Kramer andGleixner, 2008). Moreover, changes in the13C content of variouspools enable the determination of mean residence times (Balesdentand Mariotti, 1996; Gleixner et al., 2002). Consequently, theproduction of isotopically labeled biochars from simple isotopicprecursors is most promising investigating synthetic biochars inthe soil system. Biochars were produced by hydrothermal pyrolysis(Titirici et al., 2007a,b) using glucose (signature G) and yeast(signature Y) as parent material, respectively. A 13C label wasintroduced to both biochars adding uniformly 13C labeled glucose(99 atom%, Sigma Aldrich, Seelze, Germany) to the parent materialsprior to biochar synthesis.

Glucose should be seen as model compound for cellulose, the majorstructural component of plant biomass. Several investigations haveshown that charcoal produced from very different types of biomassalways show similar chemical structures (Schmidt and Noack, 2000;Gleixner et al., 2001; Titirici et al., 2007b, in press). Heterocyclic (O-containing) pyran and furan ring systems of carbohydrates or phenoltype structures that are the backbone of lignin form for examplebenzene and other polyaromatic hydrocarbons (PAH) due to thearomatization reactions in the charring process. Solid state 13C NMRexaminations proof this remarkable structural and compositionalsimilarity of all charcoals made from different sources of biomass(Titirici et al., in press) and therefore we do not expect serious differ-ences between charcoals produced from model compounds and frombiomass (Baccile et al., submitted for publication).

Yeast acted as a protein, i.e. nitrogen, rich model waste materialresulting from bioethanol, beer and wine production (pomace,draff, brewer grains, distiller’s grain or distiller’s wash (Belyea et al.,1998; Pfeffer et al., 2007; Maas et al., 2008; Quintero et al., 2008))and thus represented a probable commercial source material forthe synthesis of nitrogen rich biochars. The yeast we used wasprovided by a local beer brewery and represents the brewer grainsthat were separated from the beer product as described in theliterature above. The grains were basically made up of the yeastactive in the fermentation and additionally contain some rest ofbarley glume and wheat bran.

Element composition and d13C values of the biochars weredetermined by elemental analysis and EA-IRMS as was described forthe soil samples, respectively (Table 1). Thermogravimetry(TGA851e, Mettler-Toledo, Gießen, Germany) was applied to char-acterize the thermal stability and thus the carbonization grade of thebiochars (Meszaros et al., 2007; Pastor-Villegas et al., 2007; Strezovet al., 2007). Samples, biochars and their respective parent materials,were introduced into the oven at 60 �C and heated with a rate of1 �C min�1 to 850 �C in an Argon atmosphere. Scanning electronmicroscopy (SEM) was performed on a DSM 940 A (Zeiss, Oberko-chen, Germany). Infrared-spectra were measured with an IFS 66 FTIRspectrometer (Bruker Optik GmbH, Ettlingen, Germany). Spectrawere obtained averaging 128 scans, with a resolution of 4 cm�1.

measurements. For d13C values of CO2 gas in the controls the standard error of the

st-derived biochar sd Arable soil sd Forest soil sd

.4 0.5 2.5 0.01 5.5 0.06.0 0.03 0.3 0.0003 0.5 0.005.8 0.30 �27.7 0.14 �27.1 0.06

�24.0 0.8 �27.6 0.6

Page 300: Agricultural Applications for Pine-Based BioChar

S. Steinbeiss et al. / Soil Biology & Biochemistry 41 (2009) 1301–1310 1303

2.3. Experimental design and regular measurements

Soil columns were filled with 150 g soil (dry weight); 15columns were filled with arable soil (signature A) and 15 columnswere filled with forest soil (signature F). The soil of six columns ofeach soil type was mixed with glucose-derived biochar (signaturesAG and FG) and further six columns of each soil type were mixedwith yeast-derived biochar (signatures AY and FY). Three columnsof each soil type were left as control without biochar (signatures Aand F). The amount of biochar added to the soil was calculated tocorrespond to a carbon addition of 30% of the initial soil organiccarbon content. Initial soil properties including PLFA analyses weredetermined from soil samples without incubation (signatures AIand FI) with triple replicates.

Soil columns were incubated at 25 �C during the day and 20 �Cduring the night. No artificial lighting was applied. Soil moisturewas adjusted every three to four days in all columns. No waterleached out from the columns.

Soil respiration was measured using a carbon dioxide probe(GMP 343, Vaisala, Helsinki, Finland) from week 1 to week 25 witha temporal resolution of 1 week in the beginning (up to week 7) and2–3 weeks afterwards. The respired gas was collected in weeks 7,12, 15, 17, 20, 23 and 26 using 2.3 l gas flasks connected viaa capillary to the soil columns (filling time 4 h per sample). Sampleair was dried chemically using magnesium perchlorate (FisherScientific, Loughborough, UK). Each time two flasks were filled thesame way with greenhouse air to correct ambient CO2 concentra-tion and isotope ratios of the treatments (d13Ctreatment,korr)(Amundson et al., 1998). Gas CO2 concentration was measured byGC-FID (Agilent technologies, Santa Clara, USA) and stable carbonisotope ratios were determined by isotope ratio mass spectrometry(Finnigan MAT 252, Bremen, Germany).

Based on the isotopic difference between the respired CO2 frombiochars and from soil organic carbon it was possible to calculatethe proportion of biochar-derived carbon in the respired gas forevery sampling date (Equation (1)) (Balesdent et al., 1998; Waldropand Firestone, 2004). To overcome possible treatment effects wedetermined the control values used in Equation (1) from the gasmeasurements of the control treatments (A and F), assuming thesame processes in the treatments as in the controls. We madeKeeling plots combining the measured d13C values for the completetime series of the gas collected from the respective control columnsand the reciprocal CO2 concentration (1/CO2). The y-intercept of thelinear fit (R2¼ 0.96 for A and R2¼ 0.97 for F) can be interpreted asthe d13C value of biologically produced CO2 during respiration(Amundson et al., 1998) (Table 1).

Fð%Þ ¼ d13Ctreatment;corr � d13Ccontrol

d13Cbiochar � d13Ccontrol� 100 (1)

Mean residence times (T) for the biochars were calculated usingmeasured carbon contents before (ct0) and after incubation (ct)combined with the calculated proportion of biochar carbon in therespiration gas assuming a first order reaction mechanism (Equa-tion (2)) (Gregorich et al., 1996; Gleixner et al., 2002).

T ¼ ðt � t0Þlnðct=ct0Þ

(2)

2.4. Phospholipid fatty acid (PLFA) extraction

Phospholipid fatty acids were extracted from fresh sieved soilbefore incubation and from all treatments after 4 months in thegreenhouse. We extracted three replicates of each treatment exceptof the controls (signatures A, F). There, only one sample per soil

type was extracted to leave the other two replicates for furthercontinuous measurements.

PLFA extraction was performed after standard methodsdescribed in the literature (Bligh and Dyer, 1959; Zelles and Bai,1993). Briefly, soils were shaken for 2 h in a mixture of chloroform,methanol and phosphate buffer. The lipid extracts (chloroformphase) were transferred to silica-filled solid phase extractioncolumns (SPE). Phospholipids were separated from neutral lipidsand glycolipids by eluting with chloroform, acetone and methanol,respectively. The phospholipids in the methanol fraction werehydrolyzed and methylated using a methanolic KOH solutionleading to phospholipid fatty acid methyl esters.

Quantification of the PLFAs per soil dry weight was performedon a GC-FID system (Agilent Technologies, Santa Clara, USA) usinga fused silica column (HP ultra 2, 50 m length� 0.32 mm ID,0.52 mm film thickness). The temperature program started at 140 �C(1 min isotherm) followed by a heating rate of 2 �C min�1 to 270 �C,which was held for 9 min, and followed by a final heating rate of30 �C min�1 to 320 �C. For peak identification retention times ofstandard measurements were used.

Compound-specific isotope ratios of the identified PLFAs weremeasured by GC–IRMS (DeltaPlusXL, Thermo Finnigan, Bremen,Germany). Gas chromatographic separation was performed withthe same parameters as the quantification (see above). To obtaind13C values of the PLFAs, measured isotope values were correctedfor the methyl carbon added during methylation (Kramer andGleixner, 2006).

Identified PLFAs were assigned to certain microbial groups, i.e.fungi (C18:2u6,9, C18:1u9), Gram-positive bacteria (branchedsaturated fatty acids), Gram-negative bacteria (monounsaturatedfatty acids) and bacteria in general (straight chain saturated fattyacids) (Zelles, 1997; Baath and Anderson, 2003; Waldrop andFirestone, 2004; Kramer and Gleixner, 2006; Allison et al., 2007).

2.5. Statistical evaluation

Statistical evaluation of the data sets was performed with SPSSversion 16.0 (SPSS Inc., Chicago, USA). For direct comparison oftreatments simple t-tests were used. To test for systematic effects ofthe soil type, the charcoal type or any interaction of both variablesin complete data sets of all treatments analyses of variance(ANOVA) were calculated. Principal component analyses using theproportion of microbial groups in the soil were performed tocompare the structure of the microbial community in the differenttreatments and the respective initial soil samples. Statisticalsignificance was assigned at the p� 0.05 level.

3. Results

3.1. Biochar characterization

Glucose-derived biochar was highly carbonized and thusthermally stable. Thermogravimetry to a temperature maximumof 850 �C in an inert atmosphere led to a total mass loss of about50% with the highest rate of volatilization at temperaturesbetween 380 and 390 �C. In contrast, the parent material, glucose,lost 86% of its initial mass under the same experimental condi-tions and thermal degradation occurred in several processes withmaximum reaction rates already at temperatures of 200 �C and280 �C, respectively.

The degree of condensation in the yeast-derived biochar wasmuch lower than that of the glucose-derived biochar, indicated bya total mass loss of 72%, which is only 10% less than that of theparent material, yeast, under the same conditions. Thermaldegradation of the yeast-derived biochar already started at 200 �C,

Page 301: Agricultural Applications for Pine-Based BioChar

4500 4000 3500 3000 2500 2000 1500 1000 500 0

0.3

0.4

0.5

0.6

0.7

0.8

0.9

1.0

1.1

CH2, CH3 aliphaticC-O-C

C-H aromatic

C=C aromaticC=O

OH

Ab

so

rb

an

ce

Wavenumber in cm-1

CHaliphatic

Fig. 2. Infrared-spectra of glucose-derived biochar (straight line) and yeast-derivedbiochar (dashed line).

S. Steinbeiss et al. / Soil Biology & Biochemistry 41 (2009) 1301–13101304

reached the next maximum reaction rate at 325 �C and showeda last process similar to the glucose-derived biochar degradationbetween 380 and 390 �C.

Scanning electron microscopy (SEM) showed similar structuresof our model biochars (carbonaceous spheres and continuousnanopore systems) as were observed for charcoals produced fromdifferent biomass types (e.g. rice grains, oak leafs, pine needles) byhydrothermal pyrolysis (Cui et al., 2006; Titirici et al., 2007b)(Fig. 1).

Infrared-spectra reveal a polar surface structure of the modelbiochars containing phenolic, carbonyl and hydroxyl functionalgroups. The aromatic structure was more pronounced for the highlycondensed glucose-derived biochar, whereas the low condensationgrade of the yeast-derived biochar resulted in larger proportions ofsaturated and unsaturated aliphatic structures (Fig. 2). Infrared-spectra of charcoals produced from biomass verify hydroxyl groups,phenolic residues, carbonyl functions, aliphatic double bonds anda certain degree of aromaticity as the typical biochar structurecharacteristics (Titirici et al., 2007b).

3.2. Soil respiration and gas measurements

Initial respiration rates differed strongly between the treat-ments (Fig. 3) but did not correlate to the initial carbon content.In arable soil, both biochar treatments (AG, AY) showed similarrespiration rates to the control despite the carbon addition(p¼ 0.64 and 0.50, respectively). In forest soil, the highest initialrespiration was measured in the treatment with labile yeast-derived biochar (FY), which was significantly higher (p< 0.001)than both the control (F) and the treatment with glucose-derivedbiochar (FG). No difference was observed between the treatmentwith stable glucose-derived biochar in forest soil and therespective control (p¼ 1.00). Respiration rates strongly decreasedwithin 4 weeks of incubation and had leveled off after 12 weeksto a constant median value of 2 mg C d�1 for all treatments. Nosystematic differences in respiration rates were observed betweenthe treatments, although the FY treatment showed significantlyhigher respiration rates at some occasions within the first 10weeks of the experiment (i.e. weeks 4 and 10: p< 0.001 andp¼ 0.062).

Labeling with 13C led to isotopic differences of 24–31&

between biochar carbon and soil organic carbon (Table 1) whichwas used to quantify the proportion of biochar-derived carbon in

Fig. 1. SEM picture of (a) glucose-derived biochar a

the respired CO2. Two major differences were observed betweenthe soil types. First, data variability as well between replicates asbetween repeated samplings was much higher in arable soiltreatments than in forest soil treatments (p< 0.001). Second, theproportion of biochar carbon in the respiration gas was generallylower in forest soil treatments compared to arable soil treatments(p¼ 0.025). In detail, variability between replicates for arable soiltreatments were 5.4% (AG) and 3.3% (AY) on average, whilestandard deviations of 0.9% were observed for replicates of bothforest soil treatments (FG and FY). The proportion of biochar-derived carbon in the respiration gas was 28% (sd¼ 7.9%) in theAG treatment and 22% (sd¼ 24.3%) in the AY treatment. In forestsoil 8% (sd¼ 1.2%) of the respired carbon derived from biochar inthe FG treatment and 12% (sd¼ 3.6%) derived from biochar in theFY treatment. In the AG treatment, the proportion of biochar-derived CO2 showed an increasing trend with time, reaching themaximum of 43% in week 20. The AY treatment showed the mostinconsistent pattern in the composition of the respiration gasduring incubation, varying between 0 and 53% biochar carbon inthe gas without any regularity. In contrast, in the forest soiltreatments the proportion of biochar carbon in the respiration gas

nd (b) yeast-derived biochar. Scale bar 10 mm.

Page 302: Agricultural Applications for Pine-Based BioChar

0 5 10 15 20 25 0 5 10 15 20 250

10

20

30

40

50

60

0

10

20

30

40

50

60

resp

iratio

n rate in

m

g C

d

-1

week after experiment start

A AG AY

week after experiment start

F FG FY

Fig. 3. Respiration rates for arable soil treatments (left) and forest soil treatments (right) including the respective controls during incubation. Error bars represent standarddeviations between three replicates per treatment.

S. Steinbeiss et al. / Soil Biology & Biochemistry 41 (2009) 1301–1310 1305

was constant at 8% for FG, while FY showed a decreasing trendfrom 19% in week 7 down to 9% in week 17 and later on.

3.3. Development of soil carbon stocks and mean residence times

Measured respiration rates reflect temporary carbon losses andvaried over time due to temperature and soil moisture variability.The total carbon budget was thus determined by elemental analysisfrom soil sub-samples before and after four months of incubation(Table 2). Total carbon content decreased in controls and all treat-ments over the incubation time. Despite different absolutenumbers in the carbon budget due to the different initial carboncontent of the two soil types, the relative amount of carbonremaining in the soils after biochar incubation only depended onthe type of biochar added but did not depend on the soil type itselfor any interaction between soil type and biochar type (Table 3).Thus, of the initially added 3% of charcoal carbon, both treatmentswith more stable glucose-derived biochar still contained 27% morecarbon than the respective control, while both treatments withlabile yeast-derived biochar still contained 23% more carbon thanthe respective control (Table 2).

To quantify losses of biochar carbon and soil organic carbonwe used the isotopic signature of the respiration gas. Wenormalized all losses to the respective initial carbon amounts of

Table 2Carbon budget in g C and relative to the respective controls for all treatments beforeand after incubation; sd refers to standard deviation of replicated measurements.

Treatment Cinitial

(g)sd Amount C relative

to control (%)Cfinal

(g)sd Amount C relative

to control (%)

A 3.79 0.02 100 3.63 0.02 100AG 4.93 0.02 130 4.61 0.03 127AY 4.93 0.02 130 4.45 0.04 123F 8.23 0.04 100 7.75 0.04 100FG 10.70 0.05 130 9.87 0.01 127FY 10.70 0.05 130 9.53 0.06 123

the treatments for better comparability (Fig. 4). Losses of soilorganic carbon were generally smaller in the arable soil treat-ments compared to the respective forest soil treatments andbiochar addition always increased the loss of carbon from the soilorganic carbon pool (Table 4). In both soil types, soil organiccarbon losses were largest when labile yeast-derived biochar wasadded (Fig. 4, Table 4). In these treatments, twice the amount ofsoil organic carbon was respired compared to the controls.Moreover, yeast-derived biochar seemed to be better degradablethan glucose-derived biochar as indicated by larger biocharcarbon losses in both soil types (Fig. 4), although the differencewas significant only in forest soil (p¼ 0.003, p¼ 0.147 for arablesoil). Most interestingly, normalized losses of soil and biocharcarbon in the arable soil were almost identical (p¼ 0.544), whilein forest soil less biochar carbon than soil organic carbon was lost(p< 0.001).

The mean residence times (Equation (2)) for biochar carbonwere calculated from measured total carbon losses and theproportions of biochar carbon in the respiration gas (Equation(1)). In total, the controls lost 4% (A) and 6% (F) of their initialcarbon content, treatments with glucose-derived biochar lost 7%(AG) and 8% (FG) carbon, and addition of yeast-derived biocharcaused total carbon losses of 10% (AY) and 11% (FY), respectively.Consequently, mean residence times ranged between 4 (AG) and29 (AY) years (Fig. 5). The 29 years were calculated for yeast-derived biochar in arable soil and give just a rough estimate dueto the huge uncertainty caused by the high variability in thedetected proportion of biochar carbon in the respiration gas.

Table 3Summary of analysis of variance (ANOVA) of the carbon budget relative to therespective controls for all biochar treatments after incubation.

Parameter Sum of squares F-value Significance

Soil 0.80 1.07 0.332Charcoal 56.77 75.52 <0.001Soil� charcoal 0.01 0.01 0.923

Page 303: Agricultural Applications for Pine-Based BioChar

-22

-20

-18

-16

-14

-12

-10

-8

-6

-4

-2

0A AG AY F FG FY

treatment

% carb

on

lo

st

soil organic carbonbiochar carbon

Fig. 4. Losses of biochar carbon and soil organic carbon after 4 months of incubationgiven relative to the respective initial amounts in the treatments. Error bars reflect theuncertainties in the proportion of biochar carbon in the respiration gas used forcalculation and were determined according to error propagation laws.

AG AY FG FY0

10

20

30

40

50

60

70

80

90

mean

resid

en

ce tim

e in

years

treatment

Fig. 5. Calculated mean residence times for the biochars in the different treatments.Error bars reflect the uncertainty caused by the variability of the proportion of biocharcarbon in the respiration gas. They were determined according to error propagationlaws.

S. Steinbeiss et al. / Soil Biology & Biochemistry 41 (2009) 1301–13101306

Glucose-derived biochar remained longer in forest soil (12years) than in arable soil (p< 0.001), where it would bemineralized after 4 years, assuming a continuously ongoingdecomposition as observed in the 4 months of incubation. Foryeast-derived biochar it would take about 6 years to be miner-alized in the forest soil.

Table 5

3.4. Microbial community in the soils

To get an estimate of microbial adaptation to the new carbonsource the total amount of phospholipid fatty acids in the soils wasdetermined before and after incubation in all treatments. Asalready found for the total carbon budget, biochar type was thedriving parameter for any effects on the microbial communitybetween the treatments. Arable soil generally contained smalleramounts of microorganisms than forest soil as well for the initialvalues as in every treatment after incubation (p< 0.001). Additionof glucose-derived biochar to both soil types caused a significantreduction of microbial biomass (p< 0.001) during incubation. Incontrast, yeast-derived biochar addition did not change the PLFAcontent in the soils (p¼ 0.39), which still was as high as beforeincubation in both soil types. We found no interaction between soiltype and biochar type (p¼ 0.15).

The identified PLFAs were assigned to four main groups ofmicroorganisms in soil, i.e. fungi, Gram-positive bacteria, Gram-negative bacteria and bacteria in general. The proportions ofthese groups in the microbial community were calculated for theinitial soils and for all treatments after incubation (Table 5). Theinitial microbial community composition in both soil types was

Table 4p-Values resulting from multiple comparison t-tests of soil organic carbon losses(normalized to the initial carbon content) for all treatments after incubation.Numbers smaller than 0.05 reflect significant differences between the treatments.

A AG AY F FG FY

A 0.120 0.031AG 0.120 0.004 0.001AY 0.031 0.004 0.018F 0.005 0.013FG 0.001 0.005 0.001FY 0.018 0.013 0.001

quite similar (Fig. 6). Again, major effects of biochar additionwere the same in both soil types and depended only on thebiochar type (Fig. 6, Table 6). While the addition of glucose-derived biochar rarely changed the composition of the soilmicrobial community, the yeast-derived biochar stronglypromoted fungi in both soils (p< 0.001). The majority of presentmicroorganisms belonged to the group of usually root associatedGram-negative bacteria and made up 42% (AI) and 44% (FI) of themicrobial biomass. In both soils, 27% of the microbes belonged tothe Gram-positive bacteria, 11% were assigned to bacteria ingeneral and only 11% (FI) to 12% (AI) of the microbial communitywas made up of fungal biomass. The addition of glucose-derivedbiochar led to shifts along PC 2 in the principal componentanalyses (PCA) (Fig. 6), which only explained 4–11% of thevariance and reflected non-systematic changes in the proportionof all microbial groups. In treatments with yeast-derived biochar,the proportion of fungal biomass increased by 16% in both soiltypes, while Gram-positive and Gram-negative bacteriadecreased by 7–14%. The increase in fungal biomass wasexpressed in the large shifts along PC 1 of the PCA (p< 0.001)(Fig. 6), which explained 89% of the variance in forest soil and94% in arable soil. The microbial community composition of thecontrols without biochar addition showed the same pattern afterincubation as the initial soil samples (Table 5).

Proportion of the amount of PLFAs assigned to different microbial groups, i.e. fungi,Gram-negative bacteria, Gram-positive bacteria and bacteria in general, before andafter incubation; sd refers to standard deviation between three replicates. There wasno replicate extracted for the controls (A, F).

treatment Fungi sd Gram(�)bacteria

sd Gram(þ)bacteria

sd Bacteria sd

AI 11.9 0.1 41.9 0.1 26.9 0.1 11.5 0.1AG 10.8 0.3 41.8 2.1 25.0 2.4 13.0 0.3AY 28.0 0.9 30.7 0.4 18.8 0.5 15.7 0.2FI 11.0 0.2 43.6 0.5 26.8 0.4 10.8 0.0FG 10.7 0.2 37.7 0.3 29.9 0.4 13.8 0.1FY 27.6 0.8 28.9 0.3 20.3 0.7 16.8 0.1A 12.0 41.9 26.9 11.6F 10.9 39.0 27.3 14.5

Page 304: Agricultural Applications for Pine-Based BioChar

-1,5 -1,0 -0,5 0,5 1,0 1,5 2,0 2,5

-0,5

-1,0

-1,5

0,5

1,0

1,5

2,0

2,5

AI

AG

AY

FI

FG

FY

PC 2

PC 1

Fig. 6. Principal component analyses of the microbial community composition for bothsoil types. PC 1 explained 89% (forest soil) and 94% (arable soil) of the variance and wasdriven by the proportion of fungi and bacteria in both soil types. PC 2 explained 11%(forest soil) and 4% (arable soil) of the variance.

S. Steinbeiss et al. / Soil Biology & Biochemistry 41 (2009) 1301–1310 1307

Finally, we determined compound-specific isotope ratios ofthe PLFAs to identify the major carbon sources of the differentgroups of soil microorganisms (Appendix 1). PLFA enriched in13C compared to the initial value indicated the uptake of biocharcarbon by the respective microbial group, while unchanged d13Cvalues prove the continuous uptake of soil organic carbon.Control treatments generally showed small shifts in all microbialgroups as decomposition of soil organic carbon led to anenrichment in 13C in the remaining soil organic carbon. Althoughthe microbial group specific enrichments somehow depended onthe type of biochar added to the soils, e.g. significant enrich-ments of Gram-negative and Gram-positive bacteria for glucose-derived biochar treatments (2.1–4.7&, 0.001< p< 0.027) andstrong yeast-derived biochar uptake by fungi in both soils(isotopic shift 9.5 and 14.8&, 0.003< p< 0.062), several differ-ences were observed between the soil types (Fig. 7). In contrastto arable soil, where fungi were less involved in the decompo-sition of glucose-derived biochar (isotopic shift¼ 1.6&,p¼ 0.350), in forest soil fungal biomarkers showed an averageenrichment of 4.8& (p¼ 0.417). Especially the d13C value ofC18:2u6,9 increased by 8.4& (p¼ 0.007), while other fungibiomarkers (C18:1u9) remained unchanged (isotopicshift¼ 1.1&). Beside the obvious utilization of yeast-derivedbiochar by fungi in arable soil, also all bacterial groups were ableto decompose this biochar to a certain extent in this soil type.Significant isotopic enrichments were measured in all bacterialbiomarkers (p� 0.002). In forest soil, Gram-negative bacteriawere the only microbial group beside fungi that took up yeast-derived biochar carbon in a significant amount (p¼ 0.001).

Table 6Summary of analysis of variance (ANOVA) of the principal component analyses ofmicrobial community composition.

Parameter Sum of squares F-value Significance

PC 1 Soil 0.00 0.00 1.000Charcoal 15.94 7.97 <0.001Soil� Charcoal 0.00 0.00 0.741

PC 2 Soil 0.00 0.00 1.000Charcoal 10.87 13.92 0.001Soil� Charcoal 0.44 0.57 0.581

Assuming biochar and soil organic carbon as only carbonsources for the soil microorganisms, the proportion of biocharcarbon incorporated in the microbial biomass can be calculated.For instance, the observed enrichment in fungal biomarkers of14.8& in the AY treatment would equal a utilization of 60%biochar carbon for fungal biomass production. In forest soil,fungi used 40% yeast-derived biochar carbon to build up theirbiomass. Bacteria in arable soil used between 10% and 15%glucose-derived biochar carbon as carbon source and theproportion of glucose-derived biochar carbon in Gram-negativebacteria in forest soil amounted to 13%.

4. Discussion

It has been observed in several studies that biochar addition tosoils improved soil fertility and thus increased crop yields onagricultural lands (Marris, 2006; Chan et al., 2007). This fertilizereffect could be explained by a stimulation of soil microorganismsthat consequently led to an increased recycling of nutrientstrapped in biomass residues. The fertilizer function is additionallysupported by an increased water retention and cation exchangecapacity of the soils caused by the huge surface area of the bio-chars. An aspect of biochar amendments that got more attentionrecently is that additional photosynthetically fixed carbon isbrought into the soil, where it could contribute to longer termcarbon storage and thus mitigates increasing atmospheric CO2

concentrations (Schmidt and Noack, 2000; Lehmann, 2007).However, little is known about turnover times of biochars in soilsand a long-term storage function contradicts the fertilizer func-tion of biochars that requires a certain biodegradability of thebiochar material. The major question to solve will be to designbiochars that fulfil both functions with the best possiblecompromise. Biochar structure, e.g. the condensation grade, couldeasily be managed in production processes, but studies arenecessary to check, whether the condensation grade is a tool tocontrol the turnover of biochars in soils.

In our greenhouse experiment we investigated the conse-quences of the addition of biochar with different condensationgrades (high¼ glucose-derived, low¼ yeast-derived) to two soiltypes (arable and forest soil) for inherited carbon stocks and for soilmicrobial communities.

Soil respiration measurements indicated a strong stimulationof soil microorganisms by yeast-derived biochar in the beginningof the incubation, whereas treatments that received glucose-derived biochar showed respiration rates similar to the respec-tive controls. After 12 weeks no differences between anytreatments could be observed anymore and respiration rates hadgenerally decreased to very low levels. As a result of theincreased respiration total carbon losses were always higher intreatments that received biochar than in the controls. The typeof biochar clearly showed a systematic influence on soil organiccarbon losses. Yeast-derived biochar, the model compound foreasily degradable biochar stimulated soil microorganisms mostin both soils leading to soil organic carbon losses twice as highas in the controls, whereas glucose-derived biochar led tointermediate soil organic carbon losses in both soil types.Increasing soil organic carbon losses caused by charcoal inputhave been observed also in other studies (Wardle et al., 2008).The mechanism behind still has to be resolved. However, even ifcarbon turnover was increased by the biochar treatments in ourexperiment we want to point out that the total carbon content inthe soil still was 27% higher in glucose-biochar treatments and23% in yeast-biochar treatments compared to the controls at theend of our experiment regardless of the soil type. Calculatedmean residence times of 4–29 years lead to the conclusion that

Page 305: Agricultural Applications for Pine-Based BioChar

0

2

4

6

8

10

12

14

16

18

AGAYA

fungi gram(+) gram(-) bacteria fungi gram(+) gram(-) bacteria0

2

4

6

8

10

12

14

16

18

FGFYF

iso

to

pic sh

ift in

(treatm

en

t - in

ital)

Fig. 7. Isotopic shift of PLFA biomarkers (treatment after incubation – initial values) for certain microbial groups, i.e. fungi, Gram-negative bacteria, Gram-positive bacteria andbacteria in general. Error bars reflect the standard deviation in isotopic shift within a group of microorganisms.

S. Steinbeiss et al. / Soil Biology & Biochemistry 41 (2009) 1301–13101308

biochars produced by hydrothermal pyrolysis would probablyadd to the decadal soil carbon pool. The fast decrease in soilrespiration rates during incubation indicated that microbialstimulation and thus decomposition processes remarkablyslowed down after 4 months. Concluding from this observation,we assume that any fertilizer effect of these biochars will bebiggest directly after biochar addition to the soils and that thecarbon storage function will gain importance on the longer term.Mean residence times given here represent results from theinitial phase of biochar degradation and might increase withtime.

As has been shown for the total carbon stocks, also thereaction of soil microorganisms on biochar addition was drivenby the biochar type and largely independent of the soil type.Yeast-derived biochar strongly increased the proportion of fungiin both soils, which consequently turned out as the microbialgroup that most utilized this type of biochar. Glucose-derivedbiochar was used as carbon source for the build up of bacterialbiomass. Bacteria in arable soil, probably better adapted tocarbon limitation events and more complex remaining soilcarbon, respired more biochar carbon than bacteria in forest soil.Consequently, calculated mean residence times of glucose-derived biochar in arable soil were slightly shorter than in forestsoil. Microorganisms in the forest soil seemed to be lessspecialized on certain carbon sources. The adaptation of certainmicrobial groups to biochar degradation was less pronouncedthan in arable soil.

To finally answer the questions that should be solved with ourexperiment:

1) How stable are biochars produced by this method in differentsoil?

Biochars produced by hydrothermal pyrolysis would add to thedecadal soil carbon pool.

2) How do inherited soil microorganisms react on the addition ofsuch biochars?

Inherited soil microorganisms adapted to the new carbon sourceand utilized both types of biochar. The biochar type determined,which group of microorganisms were involved in the decomposi-tion process. Yeast-derived biochar strongly promoted fungi, whileglucose-derived biochar primarily was utilized by Gram-negativebacteria.

3) Is the stability of these biochars tuneable by varying thecondensation grade and chemical composition of thebiochar?

Our results clearly show that the type of biochar, i.e. conden-sation grade and chemical structure, is the main driver for alldifferences observed between our treatments. All patternsobserved for the biochar types were the same in both soils. We thusconclude that the condensation grade and the chemical structure ofbiochars produced by this method could serve as ‘‘tuning param-eter’’ to design biochars that act as fertilizers but simultaneouslyadd to the soil carbon pool on a decadal time scale.

In our current experiment we manipulated the condensationgrade and the nitrogen content of the biochars with promisingresults. Several other elements (phosphorus, sulphur, cations)could be introduced to the biochar structure helping to fill specialnutrient demands of arable lands. Further studies are necessary todesign the best possible soil amendments and to investigate thelong-term behavior of these biochars in natural systems.

Acknowledgements

This investigation was financially supported by the Max PlanckSociety within the scope of the EnerChem project house. Wethank Maria M. Titirici for her help with SEM measurements atthe Max Planck Institute of Colloids and Interfaces in Potsdam-Golm. Valerian Ciobota and Petra Roesch kindly recorded theInfrared-spectra at the Institute of Physical Chemistry of theFriedrich Schiller University in Jena.

Page 306: Agricultural Applications for Pine-Based BioChar

Appendix 1

Amounts of identified PLFAs in mg g�1 soil dw and d13C values in & in initial soils, all treatments and the controls after incubation.Standard deviations are given in parentheses. Source specific summaries can be found at the end of each section.

PLFA Source AI (mg g�1 dw) AG (mg g�1 dw) AY (mg g�1 dw) A (mg g�1 dw) FI (mg g�1 dw) FG (mg g�1 dw) FY (mg g�1 dw) F (mg g�1 dw)

C14:0 br Gram(þ) 1.8 (0.1) 0.4 (0.2) 0.7 (0.2) 2.5 5.1 (0.7) 2.5 (0.4) 2.3 (0.1) 2.1C14:0 Bacteria 1.1 (0.1) 0.4 (0.1) 0.7 (0.1) 1.5 1.9 (0.2) 1.3 (0.2) 1.5 (0.1) 1.2C15:1 Gram(�) 1.4 (0.1) 0.4 (0.2) 0.6 (0.1) 1.9 2.4 (0.2) 0.9 (0.1) 0.9 (0.0) 0.8C15:0 br Gram(þ) 6.6 (0.6) 2.8 (1.2) 4.3 (0.7) 9.1 10.9 (0.9) 7.7 (1.2) 8.2 (0.4) 6.2C15:0 br Gram(þ) 5.5 (0.5) 2.3 (0.9) 3.1 (0.5) 7.6 14.8 (1.0) 10.6 (1.7) 10.5 (0.6) 8.5C15:0 Bacteria 0.6 (0.0) 0.4 (0.1) 0.6 (0.1) 0.8 0.8 (0.1) 0.7 (0.1) 0.7 (0.0) 0.5C16:0 br Gram(þ) 0.6 (0.1) 0.4 (0.1) 0.4 (0.1) 0.8 0.9 (0.2) 0.9 (0.1) 0.7 (0.0) 0.7C16:1 Gram(�) 1.2 (0.1) 0.5 (0.2) 0.6 (0.1) 1.7 1.8 (0.1) 1.0 (0.2) 0.9 (0.1) 0.8C16:0 br Gram(þ) 3.6 (0.4) 1.8 (0.7) 2.1 (0.5) 5.1 5.4 (0.3) 4.2 (0.8) 4.2 (0.2) 3.1C16:1 Gram(�) 2.4 (0.2) 1.1 (0.3) 1.7 (0.3) 3.4 4.2 (0.2) 1.7 (0.3) 2.0 (0.2) 1.5C16:1 Gram(�) 10.6 (0.9) 4.6 (1.2) 5.6 (1.1) 14.6 11.8 (0.5) 4.9 (0.7) 5.6 (0.4) 4.8C16:1 Gram(�) 6.0 (0.5) 3.1 (0.6) 3.4 (0.7) 8.3 8.5 (0.4) 3.1 (0.4) 3.2 (0.2) 2.8C16:0 Bacteria 11.4 (1.2) 7.7 (1.5) 15.9 (3.3) 16.1 20.5 (0.9) 15.6 (2.4) 31.1 (2.9) 14.3C17:0 br Gram(þ) 1.3 (0.1) 0.8 (0.2) 0.8 (0.1) 1.7 2.1 (0.1) 1.1 (0.1) 1.2 (0.1) 0.9C17:1 Gram(�) 4.0 (0.4) 2.3 (0.6) 2.8 (0.6) 5.5 5.5 (0.3) 2.7 (0.4) 2.8 (0.2) 2.3C17:0 br Gram(þ) 5.9 (0.5) 3.9 (0.7) 3.6 (0.9) 8.2 11.2 (0.5) 5.2 (0.9) 4.7 (0.3) 4.2C17:0 br Gram(þ) 1.3 (0.1) 0.9 (0.1) 0.9 (0.1) 1.7 1.9 (0.1) 0.9 (0.1) 0.9 (0.1) 0.8C17:0 br Gram(þ) 1.2 (0.1) 0.8 (0.1) 0.7 (0.2) 1.6 1.8 (0.1) 0.9 (0.1) 0.9 (0.0) 0.8C17:0 br Gram(þ) 2.3 (0.2) 1.7 (0.4) 1.9 (0.3) 3.1 4.2 (0.2) 3.1 (0.5) 3.2 (0.2) 2.6C17:0 br Gram(þ) 2.5 (0.2) 1.6 (0.3) 1.7 (0.4) 3.6 4.1 (0.2) 2.8 (0.4) 2.9 (0.2) 2.3C17:1 Gram(�) 2.0 (0.2) 1.1 (0.3) 0.9 (0.2) 2.8 1.5 (0.1) 0.9 (0.1) 0.8 (0.0) 0.7C17:1 Gram(�) 2.8 (0.2) 2.0 (0.3) 2.0 (0.4) 3.8 5.9 (0.2) 3.4 (0.5) 4.1 (0.3) 3.2C17:0 Bacteria 0.5 (0.1) 0.4 (0.1) 0.5 (0.1) 0.7 0.7 (0.1) 0.7 (0.1) 0.7 (0.1) 0.5C18:0 br Gram(þ) 2.3 (0.2) 1.8 (0.9) 1.7 (0.5) 3.2 3.0 (0.2) 2.7 (0.5) 2.4 (0.1) 1.9C18:0 br Gram(þ) 0.5 (0.0) 0.3 (0.1) 0.3 (0.1) 0.6 0.7 (0.0) 0.4 (0.1) 0.4 (0.0) 0.3C18:0 br Gram(þ) 1.0 (0.1) 0.8 (0.3) 0.7 (0.2) 1.5 1.4 (0.1) 1.5 (0.3) 1.2 (0.1) 1.0C18:2u6,9 Fungi 3.4 (0.3) 1.6 (0.3) 15.9 (3.3) 4.7 3.5 (0.2) 1.8 (0.3) 27.3 (3.4) 1.5C18:1u9 Fungi 13.5 (1.4) 7.4 (1.3) 22.0 (4.6) 19.0 25.7 (1.0) 15.5 (2.6) 39.7 (4.1) 13.6C18:1u11 Gram(�) 21.2 (2.1) 14.1 (2.2) 16.6 (3.9) 29.3 46.7 (1.6) 26.2 (3.9) 31.1 (2.7) 23.2C18:1 Gram(�) 1.8 (0.1) 1.2 (0.1) 1.4 (0.3) 2.8 2.9 (0.3) 1.3 (0.1) 1.7 (0.1) 1.2C18:0 Bacteria 2.7 (0.3) 2.1 (0.4) 3.3 (0.8) 3.8 4.8 (0.3) 3.7 (0.6) 6.0 (0.5) 3.5C18:0 cyc Gram(�) 1.7 (0.2) 1.3 (0.2) 1.6 (0.3) 2.3 3.2 (0.1) 3.0 (0.4) 3.7 (0.3) 2.8C19:0 br Gram(þ) 2.6 (0.3) 1.8 (0.6) 2.3 (0.7) 3.6 4.8 (0.3) 4.0 (0.8) 4.6 (0.3) 2.9C19:0 br Gram(þ) 0.7 (0.0) 0.6 (0.1) 0.5 (0.1) 1.1 1.3 (0.1) 1.0 (0.1) 1.0 (0.1) 0.7C18:0 cyc Gram(�) 5.5 (0.6) 4.5 (0.5) 4.2 (1.0) 7.7 22.9 (0.9) 12.2 (2.0) 12.3 (0.9) 10.7C20:1u9 Gram(�) 1.2 (0.1) 0.7 (0.2) 1.1 (0.2) 1.6 2.2 (0.2) 1.1 (0.2) 1.7 (0.2) 1.0C20:0 Bacteria 0.7 (0.0) 0.4 (0.0) 0.6 (0.1) 0.9 1.0 (0.1) 0.8 (0.1) 1.1 (0.1) 0.8

Sum Gram(�) 61.8 36.9 42.5 85.7 119.5 62.4 70.8 55.8Gram(þ) 39.7 22.7 25.7 55.0 73.5 49.5 48.3 39.0

Fungi 16.9 9.0 37.9 23.7 29.2 17.3 67.0 15.1Bacteria 16.5 11.4 21.6 23.8 29.7 22.8 41.1 20.8

d13C (&) d13C (&) d13C (&) d13C (&) d13C (&) d13C (&) d13C (&) d13C (&)

C14:0 br Gram(þ) �29.4 (1.4) �26.6 (1.3) �29.4 (0.4) �28.5 (1.5) �30.6 (3.4) �28.1 (0.3)C14:0 Bacteria �28.8 (0.3) �22.6 (0.5) �24.6 (1.3) �23.2 (0.9) �23.1 (0.9) �25.6 (1.2) �24.3 (0.0)C15:1 Gram(�) �26.6 (2.1) �23.0 (0.6) �24.3 (0.5) �24.2 (0.3) �24.2 (0.2)C15:0 br Gram(þ) �25.0 (0.6) �25.0 (1.1) �21.7 (0.2) �23.6 (1.4) �24.7 (0.3) �23.1 (1.0) �23.1 (1.2) �23.3 (0.5)C15:0 br Gram(þ) �21.2 (0.2) �19.1 (1.2) �19.0 (0.3) �21.5 (0.7) �20.4 (0.2) �18.8 (0.2) �16.8 (0.6) �19.3 (0.3)C15:0 Bacteria �27.8 (1.6) �23.0 (1.2) �25.9 (1.3) �25.7 (0.5) �26.0 (0.5)C16:0 br Gram(þ) �22.5 (3.3) �22.8 (0.4) �25.3 (1.0) �28.0 (1.9) �24.3 (1.8) �26.4 (0.9)C16:1 Gram(�) �27.1 (1.5) �21.4 (1.8) �24.5 (1.4) �26.3 (0.5)C16:0 br Gram(þ) �25.2 (0.3) �23.7 (1.4) �22.5 (0.4) �25.9 (1.3) �23.8 (0.9) �25.5 (0.1)C16:1 Gram(�) �21.3 (0.3) �19.0 (0.9) �17.1 (0.3) �20.8 (0.2) �23.4 (0.9) �20.3 (0.4) �19.5 (0.8) �20.2 (0.1)C16:1 Gram(�) �26.1 (0.5) �20.5 (1.0) �21.6 (1.7) �24.9 (0.5) �25.9 (0.5) �22.4 (0.7) �21.3 (0.6) �25.1 (0.3)C16:1 Gram(�) �20.7 (0.1) �18.8 (0.3) �18.7 (0.3) �21.3 (0.4) �21.5 (0.3) �18.6 (1.9) �17.4 (0.9) �20.2 (0.5)C16:0 Bacteria �24.8 (1.4) �20.8 (0.8) �17.8 (1.0) �23.9 (0.5) �23.8 (0.1) �21.0 (1.1) �18.4 (0.2) �23.2 (0.2)C17:0 br Gram(þ) �19.0 (1.1) �9.7 (0.8)C17:1 Gram(�) �27.1 (1.0) �21.2 (0.6) �24.8 (1.5) �24.6 (0.4) �22.9 (1.6) �24.2 (1.7) �22.1 (0.5)C17:0 br Gram(þ) �23.9 (0.3) �22.0 (0.2) �21.8 (0.9) �23.0 (0.5) �22.6 (0.4) �21.4 (1.1) �21.1 (1.1) �22.4 (0.6)C17:0 br Gram(þ) �18.9 (0.7) �15.4 (0.7) �20.2 (0.0) �17.6 (1.7) �19.5 (1.3) �18.1 (0.1) �20.0 (1.3) �17.9 (1.3)C17:0 br Gram(þ) �22.3 (0.3) �20.3 (0.6) �21.1 (1.1) �22.6 (0.2) �20.6 (1.4) �21.8 (1.3) �21.8 (0.4)C17:0 br Gram(þ) �22.2 (0.3) �22.3 (0.6) �18.7 (0.4) �20.6 (0.4) �20.4 (0.2) �19.1 (1.1) �19.5 (0.7) �19.4 (0.5)C17:1 Gram(�) �23.5 (0.6) �15.9 (1.3) �20.7 (0.6) �22.4 (0.7) �23.7 (0.3) �17.5 (1.7) �19.0 (0.4) �22.2 (0.5)C17:0 Bacteria �24.4 (0.9) �20.6 (0.6) �22.0 (1.6) �16.6 (0.8) �19.4 (0.6) �21.0 (0.5)C18:0 br Gram(þ) �25.5 (0.1) �24.2 (0.3) �24.0 (0.7) �26.1 (1.4) �24.3 (0.2) �22.3 (1.6) �22.7 (1.2) �23.9 (0.6)C18:0 br Gram(þ) �21.6 (1.0) �24.0 (0.3) �20.5 (0.6)C18:0 br Gram(þ) �27.3 (1.1) �23.9 (1.1) �26.6 (1.6) �22.9 (1.7) �17.0 (2.0) �23.6 (2.5) �20.7 (1.7)C18:2u6,9 Fungi �31.6 (1.1) �31.0 (0.6) �15.4 (1.2) �29.7 (0.7) �28.0 (0.5) �19.6 (1.3) �18.6 (0.2) �23.2 (1.0)C18:1u9 Fungi �27.1 (0.7) �24.6 (1.0) �13.8 (0.5) �27.2 (1.6) �23.3 (0.3) �22.2 (0.3) �13.8 (0.3) �22.7 (0.5)C18:1u11 Gram(�) �24.8 (0.5) �16.7 (1.2) �17.6 (0.4) �24.7 (1.0) �24.6 (0.2) �19.5 (0.5) �18.2 (0.4) �23.3 (0.2)

(continued on next page)

S. Steinbeiss et al. / Soil Biology & Biochemistry 41 (2009) 1301–1310 1309

Page 307: Agricultural Applications for Pine-Based BioChar

Appendix 1 (continued )

PLFA Source AI (mg g�1 dw) AG (mg g�1 dw) AY (mg g�1 dw) A (mg g�1 dw) FI (mg g�1 dw) FG (mg g�1 dw) FY (mg g�1 dw) F (mg g�1 dw)

C18:1 Gram(�) �14.9 (0.5) �10.1 (0.8) �13.0 (2.0) �15.2 (1.3) �14.5 (1.1) �8.2 (2.5) �5.5 (1.3) �10.8 (1.0)C18:0 Bacteria �20.9 (0.7) �18.5 (0.3) �17.5 (0.3) �21.4 (1.2) �21.3 (0.5) �18.9 (0.5) �14.9 (0.3) �20.9 (0.4)C18:0 cyc Gram(�) �21.1 (0.9) �16.6 (0.4) �19.4 (0.4) �20.5 (0.6) �23.7 (0.5) �16.9 (0.3) �15.3 (0.4) �21.9 (0.6)C19:0 br Gram(þ) �29.1 (0.8) �23.3 (1.0) �25.8 (0.8) �22.1 (0.9) �21.7 (1.4) �18.7 (0.2) �21.7 (0.9)C18:0 cyc Gram(�) �28.3 (0.5) �25.4 (1.0) �25.6 (1.2) �28.5 (0.8) �27.9 (0.4) �26.4 (0.4) �25.3 (0.5) �27.5 (0.3)C20:0 Bacteria �21.6 (1.9) �23.6 (1.0) �25.4 (0.1) �20.9 (0.6) �21.5 (1.0)

Average Gram(�) �23.8 (4.0) �17.9 (4.4) �19.9 (3.3) �22.9 (3.4) �23.4 (3.5) �19.1 (5.1) �19.3 (6.2) �22.2 (4.4)Gram(þ) �24.2 (3.1) �21.4 (3.3) �22.0 (2.4) �23.4 (2.9) �22.8 (3.2) �20.6 (4.3) �21.8 (3.8) �22.0 (3.5)Fungi �29.4 (3.2) �27.8 (4.5) �14.6 (1.1) �28.5 (1.8) �25.7 (3.3) �20.9 (1.8) �16.2 (3.4) �23.0 (0.4)Bacteria �25.3 (3.1) �19.7 (1.6) �20.5 (2.4) �24.0 (1.9) �23.3 (1.5) �21.0 (3.4) �19.8 (3.9) �22.8 (2.1)

S. Steinbeiss et al. / Soil Biology & Biochemistry 41 (2009) 1301–13101310

References

Allison, V.J., Condron, L.M., Peltzer, D.A., Richardson, S.J., Turner, B.L., 2007. Changesin enzyme activities and soil microbial community composition along carbonand nutrient gradients at the Franz Josef chronosequence, New Zealand. SoilBiology & Biochemistry 39, 1770–1781.

Amundson, R., Stern, L., Baisden, T., Wang, Y., 1998. The isotopic composition of soiland soil-respired CO2. Geoderma 82, 83–114.

Antal, M.J., Gronli, M., 2003. The art, science, and technology of charcoal production.Industrial & Engineering Chemistry Research 42, 1619–1640.

Baath, E., Anderson, T.H., 2003. Comparison of soil fungal/bacterial ratios in a pHgradient using physiological and PLFA-based techniques. Soil Biology &Biochemistry 35, 955–963.

Baccile, N., Laurent, G., Babonneau, F., Titirici, M.M., Antonietti, M. Local structure ofglucose-derived hydrothermal carbon: an advanced solid-state MAS 13C NMRstudy. Carbon, submitted for publication.

Balesdent, J., Mariotti, A., 1996. Measurement of soil organic matter turnover using13C natural abundance. In: Boutton, T.W., Yamasaki, S. (Eds.), Mass Spectrometryof Soils, pp. 83–111. New York.

Balesdent, J.,Besnard, E.,Arrouays, D., Chenu,C.,1998. Thedynamics ofcarbon inparticle-size fractions of soil in a forest-cultivation sequence. Plant and Soil 201, 49–57.

Belyea, R., Eckhoff, S., Wallig, M., Tumbleson, M., 1998. Variability in the nutritionalquality of distillers solubles. Bioresource Technology 66, 207–212.

Bligh, E.G., Dyer, W.J., 1959. A rapid method of total Lipid extraction and purifica-tion. Canadian Journal of Biochemistry and Physiology 37, 911–917.

Chan, K.Y., Van Zwieten, L., Meszaros, I., Downie, A., Joseph, S., 2007. Agronomicvalues of greenwaste biochar as a soil amendment. Australian Journal of SoilResearch 45, 629–634.

Cui, X.J., Antonietti, M., Yu, S.H., 2006. Structural effects of iron oxide nanoparticlesand iron ions on the hydrothermal carbonization of starch and rice carbohy-drates. Small 2, 756–759.

Czimczik, C.I., Masiello, C.A., 2007. Controls on black carbon storage in soils. GlobalBiogeochemical Cycles 21, GB3005.

FAO, 1998. World Reference Base for Soil Resources. FAO, Rome, 109 pp.Forbes, M.S., Raison, R.J., Skjemstad, J.O., 2006. Formation, transformation and

transport of black carbon (charcoal) in terrestrial and aquatic ecosystems.Science of the Total Environment 370, 190–206.

Gavin, D.G., Brubaker, L.B., Lertzman, K.P., 2003. Holocene fire history of a coastaltemperate rain forest based on soil charcoal radiocarbon dates. Ecology 84,186–201.

Glaser, B., 2007. Prehistorically modified soils of central Amazonia: a model forsustainable agriculture in the twenty-first century. Philosophical Transactionsof the Royal Society of London Series B: Biological Sciences 362, 187–196.

Glaser, B., Haumaier, L., Guggenberger, G., Zech, W., 2001. The ‘Terra Preta’phenomenon: a model for sustainable agriculture in the humid tropics.Naturwissenschaften 88, 37–41.

Gleixner, G., Poirier, N., Bol, R., Balesdent, J., 2002. Molecular dynamics of organicmatter in a cultivated soil. Organic Geochemistry 33, 357–366.

Gleixner, G., Czimczik, C., Kramer, C., Luhker, B., Schmidt, M.W.I., 2001. Plant compoundsand their turnover and stabilization as soil organic matter. In: Schulze, E.D.,Heimann, M., Harrison, S., Holland, E., Lloyd, J., Prentice, I.C., Schimel, D.S. (Eds.),Global Biogeochemical Cycles in the Climate System. Academic Press.

Gouveia, S.E.M., Pessenda, L.C.R., Aravena, R., Boulet, R., Scheel-Ybert, R.,Bendassoli, J.A., Ribeiro, A.S., Freitas, H.A., 2002. Carbon isotopes in charcoal andsoils in studies of paleovegetation and climate changes during the late Pleis-tocene and the Holocene in the southeast and centerwest regions of Brazil.Global and Planetary Change 33, 95–106.

Gregorich, E.G., Ellert, B.H., Drury, C.F., Liang, B.C., 1996. Fertilization effects on soilorganic matter turnover and corn residue C storage. Soil Science Society ofAmerica Journal 60, 472–476.

IPCC, 2007. Climate Change 2007: the Physical Science Basis. Contribution ofWorking Group I to the Fourth Assessment Report of the IntergovernmentalPanel on Climate Change. Cambridge University Press, Cambridge, 996 pp.

Knohl, A., Schulze, E.D., Kolle, O., Buchmann, N., 2003. Large carbon uptake by anunmanaged 250-year-old deciduous forest in Central Germany. Agricultural andForest Meteorology 118, 151–167.

Kramer, C., Gleixner, G., 2006. Variable use of plant- and soil-derived carbon bymicroorganisms in agricultural soils. Soil Biology & Biochemistry 38, 3267–3278.

Kramer, C., Gleixner, G., 2008. Soil organic matter in soil depth profiles: distinctcarbon preferences of microbial groups during carbon transformation. SoilBiology & Biochemistry 40, 425–433.

Lehmann, J., 2007. A handful of carbon. Nature 447, 143–144.Maas, R., Bakker, R., Boersma, A., Bisschops, I., Pels, J., de Jong, E., Weusthuis, R.,

Reith, H., 2008. Pilot-scale conversion of lime-treated wheat straw into bio-ethanol: quality assessment of bioethanol and valorization of side streams byanaerobic digestion and combustion. Biotechnology for Biofuels 1, 14.

Marris, E., 2006. Putting the carbon back: black is the new green. Nature 442, 624–626.Meszaros, E., Jakab, E., Varhegyi, G., Bourke, J., Manley-Harris, M., Nunoura, T.,

Antal, M.J., 2007. Do all carbonized charcoals have the same chemical structure?1. Implications of thermogravimetry–mass spectrometry measurements.Industrial & Engineering Chemistry Research 46, 5943–5953.

Pastor-Villegas, J., Rodriguez, J.M.M., Pastor-Valle, J.F., Garcia, M.G., 2007. Changes incommercial wood charcoals by thermal treatments. Journal of Analytical andApplied Pyrolysis 80, 507–514.

Pessenda, L.C.R., Gouveia, S.E.M., Aravena, R., 2001. Radiocarbon dating of total soilorganic matter and humin fraction and its comparison with C-14 ages of fossilcharcoal. Radiocarbon 43, 595–601.

Pfeffer, M., Wukovits, W., Beckmann, G., Friedl, A., 2007. Analysis and decrease ofthe energy demand of bioethanol-production by process integration. AppliedThermal Engineering 27, 2657–2664.

Quintero, J.A., Montoya, M.I., Sanchez, O.J., Giraldo, O.H., Cardona, C.A., 2008. Fuelethanol production from sugarcane and corn: comparative analysis fora Colombian case. Energy 33, 385–399.

Roscher, C., Schumacher, J., Baade, J., Wilcke, W., Gleixner, G., Weisser, W.W.,Schmid, B., Schulze, E.D., 2004. The role of biodiversity for element cycling andtrophic interactions: an experimental approach in a grassland community. Basicand Applied Ecology 5, 107–121.

Rubino, M., Lubritto, C., D’Onofrio, A., Terrasi, F., Gleixner, G., Cotrufo, M.F., 2007. Anisotopic method for testing the influence of leaf litter quality on carbon fluxesduring decomposition. Oecologia 154, 155–166.

Schmidt, M.W.I., Noack, A.G., 2000. Black carbon in soils and sediments: analysis,distribution, implications, and current challenges. Global Biogeochemical Cycles14, 777–793.

Steinbeiss, S., Temperton, V.M., Gleixner, G., 2008a. Mechanisms of short-term soilcarbon storage in experimental grasslands. Soil Biology & Biochemistry 40,2634–2642.

Steinbeiss, S., Beßler, H., Engels, C., Temperton, V.M., Buchmann, N., Roscher, C.,Kreutziger, Y., Baade, J., Habekost, M., Gleixner, G., 2008b. Plant diversitypositively affects short-term soil carbon storage in experimental grasslands.Global Change Biology 14, 2937–2949.

Strezov, V., Patterson, M., Zymla, V., Fisher, K., Evans, T.J., Nelson, P.F., 2007.Fundamental aspects of biomass carbonisation. Journal of Analytical andApplied Pyrolysis 79, 91–100.

Titirici, M.M., Thomas, A., Antonietti, M., 2007a. Back in the black: hydrothermalcarbonization of plant material as an efficient chemical process to treat the CO2problem? New Journal of Chemistry 31, 787–789.

Titirici, M.M., Thomas, A., Yu, S.H., Muller, J.O., Antonietti, M., 2007b. A directsynthesis of mesoporous carbons with bicontinuous pore morphology fromcrude plant material by hydrothermal carbonization. Chemistry of Materials 19,4205–4212.

Titirici, M.M., Antonietti, M., Baccile, N., 2008. Hydrothermal carbon from biomass:a comparison of the local structure from poly- to monosaccharides andpentoses/hexoses. Green Chemistry, 10, 1204–1212.

Waldrop, M.P., Firestone, M.K., 2004. Microbial community utilization of recalci-trant and simple carbon compounds: impact of oak-woodland plant commu-nities. Oecologia 138, 275–284.

Wardle, D.A., Nilsson, M.C., Zackrisson, O., 2008. Fire-derived charcoal causes loss offorest humus. Science 320, 629.

Werner, R.A., Brand, W.A., 2001. Referencing strategies and techniques in stableisotope ratio analysis. Rapid Communications in Mass Spectrometry 15, 501–519.

Zelles, L., 1997. Phospholipid fatty acid profiles in selected members of soil micro-bial communities. Chemosphere 35, 275–294.

Zelles, L., Bai, Q.Y., 1993. Fractionation of fatty-acids derived from soil lipids bysolid-phase extraction and their quantitative-analysis by GC–MS. Soil Biology &Biochemistry 25, 495–507.

Page 308: Agricultural Applications for Pine-Based BioChar

MARSCHNER REVIEW

Mycorrhizal responses to biochar in soil – conceptsand mechanisms

Daniel D. Warnock & Johannes Lehmann &

Thomas W. Kuyper & Matthias C. Rillig

Received: 19 April 2007 /Accepted: 9 August 2007 /Published online: 19 September 2007# Springer Science + Business Media B.V. 2007

Abstract Experiments suggest that biomass-derivedblack carbon (biochar) affects microbial populationsand soil biogeochemistry. Both biochar and mycor-rhizal associations, ubiquitous symbioses in terrestrialecosystems, are potentially important in variousecosystem services provided by soils, contributing tosustainable plant production, ecosystem restoration,and soil carbon sequestration and hence mitigation ofglobal climate change. As both biochar and mycor-rhizal associations are subject to management, under-standing and exploiting interactions between themcould be advantageous. Here we focus on biochar

effects on mycorrhizal associations. After reviewingthe experimental evidence for such effects, we criticallyexamine hypotheses pertaining to four mechanisms bywhich biochar could influence mycorrhizal abundanceand/or functioning. These mechanisms are (in decreas-ing order of currently available evidence supportingthem): (a) alteration of soil physico-chemical proper-ties; (b) indirect effects on mycorrhizae through effectson other soil microbes; (c) plant–fungus signalinginterference and detoxification of allelochemicals onbiochar; and (d) provision of refugia from fungalgrazers. We provide a roadmap for research aimed attesting these mechanistic hypotheses.

Keywords Biochar . Arbuscular mycorrhiza .

Ectomycorrhiza . Carbon storage . Restoration .

Terra preta

Introduction

Pioneering studies, conducted primarily in Japan,where biochar application to soil has a long tradition(Ishii and Kadoya 1994), provided evidence thatbiochar can have positive effects on the abundanceof mycorrhizal fungi (Table 1). Soil micro-organisms,especially arbuscular mycorrhizal fungi (AMF), inaddition to ectomycorrhizal fungi (ECM) and ericoidmycorrhizal fungi (ERM), have well-recognized rolesin terrestrial ecosystems (Zhu and Miller 2003; Rillig

Plant Soil (2007) 300:9–20DOI 10.1007/s11104-007-9391-5

Responsible Editor: Hans Lambers.

D. D. Warnock :M. C. RilligMicrobial Ecology Program,Division of Biological Sciences, University of Montana,Missoula, MT 59812, USA

J. LehmannDepartment of Crop and Soil Sciences, Cornell University,Ithaca, NY 14853, USA

T. W. KuyperDepartment of Soil Quality, Wageningen University,P.O. Box 47, 6700 AA Wageningen, The Netherlands

M. C. Rillig (*)Institut für Biologie, Freie Universität Berlin,Altensteinstr. 6, 14195 Berlin, Germanye-mail: [email protected]

Page 309: Agricultural Applications for Pine-Based BioChar

Tab

le1

Effects

ofbiochar(BC)or

activ

ated

carbon

/charcoal(A

C)additio

nson

mycorrhizal

fung

i,separated

bymycorrhizal

type

(arbuscularmycorrhizal

fung

i(A

MF)

ectomycorrhizal

fung

i(ECM),andericoidmycorrhizal

fung

i(ERM),andlistedin

orderof

decreasing

effect

size

ofthemycorrhizal

respon

sevariable(s)

Exp

erim

entaldesign

aAmou

ontACbor

BCbpresent

Type(s)of

BCcor

ACcapplied

Respo

nsevariablesd

Mycorrhizarespon

see

Possiblefunctio

nsfor

ECM,ERM

orAMFfSou

rce

AMFexperiments

BCeffectson

AMFRCof

Citrus

iyoin

anabandoned

orchard(F)

BC:80

0g/m

3in

2,4.8m

3

pits

H:RH

RC

+61

0%ND

Ishiiand

Kadoy

a(199

4)Effectsof

threeBCtypeson

AMF(G

lomus

fasciculatum

)in

riversand

(G)

BC:2.0%

BW

H:RH

Citrus

Juice

Sedim

ent(C.J.)

Woo

dy:Western

SpruceBark(W

.S.)

RC

+54

0%RH

+88

%C.J.+75

%W.S.

Enh

ancedov

erall

plantPnu

trition

Ishiiand

Kadoy

a(199

4)

BCEffectson

AMFin

soybean

fields

(F)

BC:1,500gm

−2

ND

RC

+30

0%ND

Saito

(199

0)

BC(groun

dvs

un-groun

d)effectson

AMFinfectivity

(F)

BC:33

%BV

H:RH

RC

Ground:

+10

0%Un-grou

nd:−2

0%ND

Ezawaet

al.

(200

2)BCeffectson

AMF(G

lomus

sp.)

andFusarium

oxysporum

RCof

Asparagus

officinalisroots.(G

)

BC:10

%and30

%BV

Woo

dy:Cocon

utShell

RC

10%

BC:+50

%30

%BC:+69

%Enh

ancedplant

pathogen

resistance

Matsubara

etal.(200

2)

BCeffectson

infectivity

ofindigeno

usAMF(G

)BC:App

liedat

arate

of10

lm

−2Woo

dy:Acacia

man

gium

bark

RC

+42

%ND

Yam

atoet

al.

(200

6)BCeffectson

AMFRCof

non

N-fixing,

andN-fixing

Pha

seolus

vulgaris)roots.(G

)

BC:App

liedat

ratesof

0,30

,60

and90

gBCkg

−1soil

Woo

dy:Eucalyptus

deglup

talogs

RC

Non

N-fixing:

30g,

60g:

−38%

90g:

−20%

N-fixing:

30g,

60g:

NS;90

g:+16

%

ND

Ron

donet

al.

(200

7)

BCEffectson

AMFRC,and

Spo

redensity

(S.D.)by

Glomus

intrarad

ices

grow

nin

cultu

rewith

Zea

mays(G

)

BC:89

.8%

BVof

grow

thsubstrate

ND

RCSD

in10

0ml−1

infectious

prop

agules

(IP)

in10

0ml−1

RC−2

1%SD:−5

%IP:−3

8%ND

Gaurand

Adh

oleya

(200

0)

ECM

experiments

QuantifiedECM

RCin

different

soilfractio

nsof

aMontana

forestsoil(F)

BC:2%

BV

ND

RC,no

.ECM

root

tips10

0cm

3

soilfractio

n−1

+2,900%

ND

Harveyet

al.

(197

6)

Effectof

ACon

timingof

mycorrhizal

colonizatio

nof

Quercus

robu

rseedlin

gsby

Pilo

derm

acroceum.(G)

AC:2%

BW

ND

RCOnset

ofmycorrhiza

form

ation

measuredin

weeks

RC+62

4%Onset

acceleratedby

4weeks

Colon

izationby

P.croceum

increased

drough

tresistance

inQ.robu

r

Herrm

annet

al.(200

4)

ACeffectson

ability

ofECM

(Pisolith

ustin

ctorus)to

colonize

Abies

firmaseedlin

gsgrow

nin

cultu

re(G

)

AC:0.3%

BV

ND

ECM

presence

orabsenceof

host

infection

+20

0%ND

Vaarioet

al.

(199

9)

10 Plant Soil (2007) 300:9–20

Page 310: Agricultural Applications for Pine-Based BioChar

Tab

le1

(con

tinued)

Experim

entaldesign

aAmou

ontACbor

BCbpresent

Type(s)of

BCcor

ACcapplied

Responsevariablesd

Mycorrhizarespon

see

Possiblefunctio

nsfor

ECM,ERM

orAMFfSource

Effectiv

enessof

RH

BC/forest

topsoilmix

asECM

inoculum

source

forShorea

smith

iana

treesgrow

nin

degraded

forest

soil.

(F)

BC:30

0cm

3BC

mixed

with

1lsoil.

BC/soilmix

placed

inpo

tting

hole

25-cm

deep

×25

-cm

diam

eter

H:RH

Presenceor

absence

ofhostinfection

byECM

fung

i

+80

%ND

Moriand

Marjenah

(199

4)

Effectsof

ACslurry

ondissolved

phenol

concentrationandPicea

mariana

seedlin

ggrow

th(G

)

AC:App

liedto

soilas

slurry,(250

gAC3l−1

water)microcosm

surfacearea=1,89

0cm

2

ND

RC

−38%

intype

Bfungi

ND

Wellstedt

etal.(200

2)

ERM

experiments

Effectof

ACon

ly,or

ACand

carbon

source

(0.5

gl−1glucose

orpectin)additio

nson

ERM

RCof

Vaccinium

angustifo

lium

AC:Add

edto

solid

agar

medium

at1gl−1

DarccoG60

,Fisher

RC

+95

%AC

+12

8%AC+

Glucose,or

AC+

Pectin

ND

Duclosand

Fortin

(198

3)

aG,Greenho

use;

F,Field

bBV,

Byvo

lume;

BW,Byweigh

tcAC

isprod

uced

viaon

eof

thefollo

wingactiv

ationprocedures,CO2,steam,or

chem

ical

(e.g.ph

osph

oric

acid).Allthreeprocessesremov

eremaining

organiccompo

unds

and

nutrientsfrom

previously

pyrolyzedbiom

asswhile

greatly

increasing

carbon

ylcontent,yielding

apo

rous

materialwith

anextrem

elyhigh

surfacearea

andavery

high

sorptiv

ecapacity.B

ecause

theACactiv

ationprocessbegins

with

charredbiom

ass,un

tilfurtherevidence

isprov

ided

tothecontrary,itisassumed

thatBCandACwill

both

actsimilarlyas

adsorbents,in

thesoilenvironm

ent.How

ever,ACwill

likelyhave

amuchgreatersurfacearea

than

BC(Pan

andvanStaden19

98).H,H

erbaceou

sbiochar;RH,R

icehu

skbiochar

dRC,root

colonizatio

n;SD

,sporedensity

eNS,

nonsign

ificantdifference;effect

size

forrespon

sevariableswas

calculated

as((Xtreatm

ent−Xcontrol)/Xcontrol)×10

0fND,Not

determ

ined

Plant Soil (2007) 300:9–20 11

Page 311: Agricultural Applications for Pine-Based BioChar

2004; Read et al. 2004; Rillig and Mummey 2006).Mycorrhizal fungi are frequently included in manage-ment, since they are widely used as soil inoculumadditives (Schwartz et al. 2006). With both biocharadditions and mycorrhizal abundance subject tomanagement practices, there clearly are opportunitiesfor exploiting a potential synergism that couldpositively affect soil quality.

While data on biochar effects on mycorrhiza areaccumulating, there are several important gaps in ourknowledge on these interactions. The most importantgap concerns the mechanisms by which biochar mightaffect the abundance and functioning of mycorrhizalfungi. Therefore, the goals of this paper are to firstevaluate the evidence of biochar effects on mycorrhi-zal associations thus far, and then to proposemechanisms for these biochar effects on mycorrhizae(primarily using examples of arbuscular mycorrhizaand ectomycorrhiza). In doing so, we also point outfuture research priorities (Fig. 1). To clarify thenomenclature used throughout this discussion we firstprovide a brief overview of biochar properties.

Biochar definition and properties

Biochar is a term reserved for the plant biomass-derived materials contained within the black carbon(BC) continuum. This definition includes chars andcharcoal, and excludes fossil fuel products or geo-genic carbon (Lehmann et al. 2006). Materialsforming the BC continuum are produced by partiallycombusting (charring) carbonaceous source materials,e.g. plant tissues (Schmidt and Noack 2000; Prestonand Schmidt 2006; Knicker 2007), and have bothnatural as well as anthropogenic sources. Restrictingthe oxygen supply during combustion can preventcomplete combustion (e.g., carbon volatilization andash production) of the source materials. When planttissues are used as raw materials for biochar produc-tion, heat produced during combustion volatilizes asignificant portion of the hydrogen and oxygen, alongwith some of the carbon contained within the plant’stissues (Antal and Gronli 2003; Preston and Schmidt2006). The remaining carbonaceous materials containmany poly-aromatic (cyclic) hydrocarbons, some of

Fig. 1 Schematic representation of bio-char and its direct andindirect effects on mycorrhizal fungi abundance/functioning,emphasizing the hierarchical nature of effects. The numbersincluded in figure body correspond to mechanisms discussed intext: (1) effects on soil physio-chemical properties; (2) effects

through influences on other soil microbes; (3) interactions withplant–fungus signaling; and (4) provision of refugia fromfungal grazers. Solid arrows indicate direct facilitative effects;dashed arrows indicate indirect facilitative effects

12 Plant Soil (2007) 300:9–20

Page 312: Agricultural Applications for Pine-Based BioChar

which may contain functional groups with oxygen orhydrogen (Schmidt and Noack 2000; Preston andSchmidt 2006). Depending on the temperaturesreached during combustion and the species identityof the source material, a biochar’s chemical andphysical properties may vary (Keech et al. 2005;Gundale and DeLuca 2006). For example, coniferousbiochars generated at lower temperatures, e.g. 350°C,can contain larger amounts of available nutrients,while having a smaller sorptive capacity for cationsthan biochars generated at higher temperatures, e.g.800°C (Gundale and DeLuca 2006). Furthermore,plant species with many large diameter cells in theirstem tissues can lead to greater quantities of macro-pores in biochar particles. Larger numbers of macro-pores can for example enhance the ability of biocharto adsorb larger molecules such as phenolic com-pounds (Keech et al. 2005).

Because of its macromolecular structure dominatedby aromatic C, biochar is more recalcitrant tomicrobial decomposition than uncharred organicmatter (Baldock and Smernik, 2002). Biochar isbelieved to have long mean residence times in soil,ranging from 1,000 to 10,000 years, with 5,000 yearsbeing a common estimate (Skjemstad et al. 1998;Swift 2001; Krull et al. 2003). However, its recalci-trance and physical nature represent significantobstacles to the quantification of long-term stability(Lehmann 2007).

Evidence for biochar effects on mycorrhizal fungi

From the experiments summarized in Table 1, itappears that the addition of biochar materials to soiloften results in significant responses by both plantsand mycorrhizal fungi.

Tryon (1948), Matsubara et al. (2002), DeLuca etal. (2006), and Gundale and DeLuca (2006) demon-strated that biochar additions can change soil nutrientavailability by affecting soil physico-chemical prop-erties. Increases in soil nutrient availability may resultin enhanced host plant performance and elevatedtissue nutrient concentrations in addition to highercolonization rates of the host plant roots by AMF(Ishii and Kadoya 1994). Lastly, experiments byMatsubara et al. (2002) suggested that biochar canalso increase the ability of AMF to assist their host inresisting infection by plant pathogens.

In three of the six ECM studies and the singleERM study represented in Table 1, experimentsdemonstrated the effects of adding biochar in growthmedia on both the ability of the ECM and ERM fungito colonize the host plant seedlings, and the overalleffects on seedling growth. Additionally, the experi-ment conducted by Herrmann et al. (2004) showedthat activated carbon (AC), which may in many caseshave similar properties as biochar, affected the timingof host plant colonization by ECMF, which occurred4 weeks earlier in the AC treatment than in thecontrol. The other ECM related experiments evaluatedthe effects of biochar presence on host tree coloniza-tion rates (Harvey et al. 1976; Mori and Marjenah1994). In these two cases, the presence of biocharcorresponded with significant increases in plant rootcolonization by ECM. Observations made by Harveyet al. (1978, 1979) also support these results.

In contrast to those experiments in Table 1 showingpositive effects of biochar or AC additions onabundance of mycorrhizal fungi, a few studiesobserved negative effects. In these cases, it appearsthat the negative effects of the biochar or AC additionson AMF were largely due to nutrient effects. Forexample, Gaur and Adholeya (2000) found that thebiochar media limited the amount of P taken up byhost plants, compared to rates from plants grown inriver sand or clay-brick granules, suggesting that Pwas less available. Additionally, Wallstedt et al. (2002)reported decreases in both bio-available organiccarbon and nitrogen in their ectomycorrhizal system.

An important consideration pertains to the studydesign of the experiments reported in Table 1. Thefirst issue deals with the soils used in the experiments,e.g. river sand or OM-rich field soil; the other issueconcerns the materials added to these soils as controls,e.g. organic matter vs biochar. Are soil biota,including mycorrhizal fungi, responding to an exper-imental addition of biochar simply because carbon isbeing added or are they responding to biochar’sunique properties? In at least two cases where datafrom field soils were presented, it appears thatmycorrhizal fungi responded more positively tobiochar additions than to additions of other types oforganic material added as control (Harvey et al. 1976;Ishii and Kadoya 1994). The experiment by Matsubaraet al. (2002) showed that a fresh organic amendmenthad fairly similar effects as biochar in increasing AMF-mediated host plant resistance against Fusarium and

Plant Soil (2007) 300:9–20 13

Page 313: Agricultural Applications for Pine-Based BioChar

that the asparagus plants reached similar mycorrhizalcolonization levels with both additions. But the 9-weekgap between inoculation with AMF and with Fusariummakes this aspect of the experiment somewhat difficultto evaluate. However, it is still possible that thesepositive responses shown by mycorrhizal fungi aredetermined in part by the amount of carbon in thematerial being added to the soil, with the expectationthat the biochar is more carbon-rich than the organicmatter. We may not be able to answer this questionsatisfactorily until experiments control for C amend-ment effects in the biochar treatment(s) and/or take intoaccount the relative addition of C to soils.

Work on terra preta de índio (TP) soil, the fertileAmazonian Dark Earths, has served as a majorinspiration for the use of biochar as a promising soiladditive promoting crop growth and carbon storage(Glaser et al. 2002; Glaser and Woods 2004;Lehmann et al. 2006; Glaser 2007). However, nopublished data are available on the impact of TP soilson mycorrhizal functioning. For that reason, thestudies discussed above refer to short-term experi-ments and not to the historical, pre-ColumbianAmazonian soils. TP soils are not only much richerin biochar than the surrounding soils, but also in non-pyrogenic carbon and nutrients, especially phospho-rus and calcium; therefore it is likely that TP effectson mycorrhizal functioning could be beyond those ofbiochar addition alone.

Mechanisms

At least four mechanisms could explain how biocharcan lead to altered total abundance and/or activity ofmycorrhizal fungi in soils and plant roots: (1) Biocharadditions to soil result in altered levels of nutrientavailability and/or other alterations in soil physico-chemical parameters that have effects on both plantsand mycorrhizal fungi. (2) Additions of biochar tosoils result in alterations with effects that arebeneficial or detrimental to other soil microbes, forinstance mycorrhization helper bacteria (MHB) orphosphate solubilizing bacteria (PBS). (3) Biochar insoils alters plant–mycorrhizal fungi signaling process-es or detoxifies allelochemicals leading to altered rootcolonization by mycorrhizal fungi. (4) Biochar servesas a refuge from hyphal grazers. Since a primary goal

of this discussion is identifying mechanisms explain-ing the effects of biochar on mycorrhizae, with theintention of guiding attempts for developing methodsto exploit them as soil management tools, and becausemany of the biochar effects included in Table 1 appearpositive, we primarily present arguments explaining whybiochar generally appears beneficial to mycorrhizae.

However, as discussed previously, biochar appli-cations do not always benefit mycorrhizal fungi (seeTable 1). In these situations, one could argue thatbiochar, via any of our proposed mechanisms, reducesformation of mycorrhiza, e.g. by decreasing nutrientavailability or creating unfavourable nutrient ratios insoils (Wallstedt et al. 2002). This negative effectcould be especially prominent in cases where thebiochar has a very high C/N ratio and a portion of thebiochar is decomposable, leading to N-immobiliza-tion. Under such conditions, biochar could alsonegatively affect plant growth, e.g. as seen in Gaurand Adholeya (2000). Given the above possibilitiesfor negative responses by both plants and mycorrhizalfungi to biochar amendments, and plants to mycor-rhizal fungi (Johnson 1993), it cannot be assumed thatbiochar amendments will always result in a netbenefit to plant productivity even though few suchcases have been reported so far.

A conceptual overview of the mechanisms andhypothesized pathways discussed in the followingsections is provided in Fig. 1, emphasizing thehierarchical nature of contributing factors. In thefollowing discussion it should be kept in mind that(a) mechanisms are not mutually exclusive but likelyseveral contribute to the outcome, perhaps even withopposite effects; (b) there is little information avail-able on which mechanism is likely the most importantin any given environmental situation; and finally that(c) many mechanisms are hypothetical with mostsupport for mechanism 1 at this time (we arepresenting mechanisms below in decreasing amountof evidence). This figure therefore also serves as aroadmap for future research.

Mechanism 1: Biochar changes soil nutrientavailability

Modifications of nutrient availability would clearly bea mechanism of primary importance for mycorrhizalfungal abundance. For example, nutrient additionsmight alleviate growth limitations of the fungi

14 Plant Soil (2007) 300:9–20

Page 314: Agricultural Applications for Pine-Based BioChar

themselves in nutrient-poor soils (Treseder and Allen2002). Additionally, altering the balance of nutrientscan exert strong control over fungal root colonization,as for example known for shifts in soil N/P ratios forAMF (Miller et al. 2002).

Biochar addition can result in elevated quantities ofbio-available nutrients such as N, P and metal ions, inthe affected soils (Tryon 1948; Lehmann et al. 2003;Gundale and DeLuca 2006; DeLuca et al. 2006), buthas also been shown to lead to decreases particularlyof N availability (Lehmann et al. 2003). Thesechanges in soil nutrient availabilities, may beexplained by some of the following observations.Additions of biochar to soil alters important soilchemical and physical (see below) properties such aspH (has caused both increases and decreases), andtypically increase soil cation exchange capacity(CEC), and can lead to greater water holding capacity(WHC), while generally decreasing bulk density(Tryon 1948). Increases in soil pH towards neutralvalues (Lucas and Davis 1961), in addition toincreased CEC (Glaser et al. 2002), may result inincreases in bio-available P and base cations inbiochar influenced soils. Additionally, Lehmann etal. (2003), Topoliantz et al. (2005), Gundale andDeLuca (2006) and Yamato et al. (2006) showed thatbiochar itself contained small amounts of nutrientsthat would be available to both soil biota (includingmycorrhizal fungi) and plant roots. Lastly, DeLuca etal. (2006) showed that biochar from forest wildfirestimulated gross and net nitrification rates, most likelymediated by biochar adsorbing inhibitory phenols.This mechanism is likely specific to soils withectomycorrhizal trees and/or ericaceous shrubs withan abundance of phenolic compounds, whereas inagricultural soils biochar may in the short term reduceammonification and nitrification by a reduction eitherin N availability due to immobilization during initialdecomposition of the N-poor biochar (Lehmann et al.2006) or by a reduction in C cycling.

Some of the experiments conducted to evaluatethe effects of biochar upon mycorrhizae (Table 1)lend support to mechanism 1. These experimentsshow that additions of biochar materials generallyresult in the alteration of soil physico-chemicalproperties that may lead to increases in soil nutrientavailability (measurements taken from both soilsamples and plant tissues) and/or increases in rootcolonization by mycorrhizal fungi (Ishii and Kadoya

1994; Matsubara et al. 2002; Yamato et al. 2006). In agreenhouse experiment by Matsubara et al. (2002),the soil pH of treatments receiving biochar increasedfrom 5.4 to 6.2 (10% biochar by volume) and 6.3(30% biochar by volume). According to Lucas andDavis (1961), these pH values fall within the pHrange (5.5 to 7.0) where plant nutrients are near theirmaximum availability in agricultural soils. Many ofthese alterations in soil characteristics probably occurat a micro-scale (Gundale and DeLuca 2006), and thusmay only affect hyphae that are in the immediatevicinity of biochar particles.

Mechanism 2: Biochar alters the activity of othermicro-organisms that have effects on mycorrhizae

Mycorrhization Helper Bacteria (MHB; Garbaye 1994)are capable, under specific conditions, of secretingmetabolites, e.g. flavonoids (AMF) and furans (ECM),that facilitate the growth of fungal hyphae and thesubsequent colonization of plant roots by ECM(Founoune et al. 2002; Duponnois and Plenchette2003; Aspray et al. 2006; Riedlinger et al. 2006) andAM fungi (Duponnois and Plenchette 2003; Hildebrandtet al. 2002, 2006). Hildebrandt et al. (2002, 2006) havedemonstrated that certain compounds (including raffi-nose and other unidentified metabolites) produced bystrains of Paenibacillus can directly enhance thegrowth of AMF extraradical mycelium. Additionally,Kothamasi et al. (2006) demonstrated that other speciesof bacteria, such as Pseudomonas aeruginosa, cansolubilize important plant nutrients, especially phos-phate, making them part of a group of bacteria calledphosphate solubilizing bacteria (PSB). These mineral-ized nutrients are then accessible to mycorrhizal fungiand eventually to the host plant. Furthermore, Xie et al.(1995) and Cohn et al. (1998) state that Rhizobium sp.and Bradyrhizobium sp. can produce compounds thatinduce flavonoid production in nearby plants (legumes)that may ultimately increase root colonization of plantroots by AM fungi.

Biochar may serve as a source of reduced carboncompounds (either the biochar particle itself, or organicmolecules adsorbed to the particle’s matrix), and/ornutrients, and as a refuge (see mechanism 4) for anybiochar colonizing soil bacteria, including MHB andPSBs (Pietikäinen et al. 2000; Samonin and Elikova2004). Increased populations of PSB and/or MHBmight then indirectly benefit mycorrhizal fungi (Fig. 1).

Plant Soil (2007) 300:9–20 15

Page 315: Agricultural Applications for Pine-Based BioChar

Mechanism 3: Biochar alters the signaling dynamicsbetween plants and mycorrhizal fungi or detoxifiesallelochemicals

The rhizosphere is a zone of intense signalingbetween microbes, including mycorrhizal fungi, andplant roots (Bais et al. 2004; Harrison 2005; Bais etal. 2006; Paszkowski 2006). For example, experimentsconducted using both field soils and in vitro culturesshow that compounds (e.g. CO2, flavonoids, sesquiter-penes and strigolactones) secreted by plant roots lead toboth increased colonization of plant roots by AMF(Bécard and Piché 1989; Nair et al. 1991; Xie et al.1995) and increased spore germination and AMF hyphalbranching (Gianinazzi-Pearson et al. 1989; Akiyama etal. 2005). Additions of biochar could alter the exchangeof signals in several ways, as shown in Fig. 1; however,we emphasize that most of the pertinent evidence stemsfrom sterile in vitro culture studies with uncertainrelevance to conditions in the soil.

Angelini et al. (2003) demonstrated that someflavonoid signaling compounds could be eitherinhibitory or stimulatory to specific groups of soilbiota as a function of pH. As discussed undermechanism 1, biochar additions usually increase soilpH. Hence, it is possible that these pH changes alonecan lead to stimulatory effects, causing increases infungal abundance.

Sorptive properties of biochar (e.g. for hydropho-bic substances), particularly higher temperature (e.g.,800°C) biochar, could also cause signaling interfer-ence in the rhizosphere: biochar could serve as signalreservoirs or as a sink, both for signaling compoundsand for inhibitory compounds (allelochemicals). Re-cently, Akiyama et al. (2005) demonstrated that ACwas capable of adsorbing AMF signaling (strigolac-tones) compounds from a hydroponic solution thatwere subsequently desorbable with acetone. Oncedesorbed, these compounds retained their activity andstimulate hyphal branching and growth of Gigasporamargarita. Biochar particles could adsorb signalmolecules not immediately intercepted by AMFhyphae or spores, or consumed by other soil biota.Later on, these stored signal molecules could bedesorbed by soil water reaching the biochar particles.After being re-dissolved into soil water, they wouldagain be available to stimulate mycorrhizal coloniza-tion of plant roots. By functioning in this manner,biochar particles would be serving as secondary

sources of signal molecules, acting concomitantlywith MHB and plant roots.

However, biochar’s capacity to adsorb signalingcompounds and add as a sink could also decrease theability of mycorrhizal fungi to colonize plant roots. Ifbiochar permanently rather than temporarily removessignal molecules from soils, this signal sorptionactivity results in a net decrease in the number ofsignal molecules reaching mycorrhizal hyphae andspores. As a result, hyphal growth and spore germina-tion, and ultimately fungal abundance, could actuallydecrease because of biochar activity.

In addition to chemical signals, biochar may alsoadsorb compounds toxic to mycorrhizal fungi. Forexample, Wallstedt et al. (2002) showed that theaddition of an AC slurry to an experimental soilresulted in a decreased amount of water-solublephenols. Herrmann et al. (2004) and Vaario et al.(1999) related their results of stimulated ECM funguscolonization of roots in the presence of AC to toxinsorption.

Mechanism 4: Biochar serves as a refugefor colonizing fungi and bacteria

This mechanism is purely physical in nature, andtherefore could function in a similar fashion for ECM,ERM, AMF and bacteria. Hyphae and bacteria thatcolonize biochar particles (or other porous materials)may be protected from soil predators (Saito 1990;Pietikäinen et al. 2000; Ezawa et al. 2002), whichincludes mites, collembola and larger (>16 μm indiameter) protozoans and nematodes. The docu-mented physical parameters of the biochar particlesthemselves make this mechanism plausible. Theaverage sizes of soil bacteria and fungal hyphae rangefrom 1 to 4 μm and 2 to 64 μm, respectively, withmany fungal hypha being smaller than 16 μm indiameter (Swift et al. 1979). Additionally, the averagebody-size of a soil protist is between 8 to 100 μm,while the average body size of soil micro-arthropodsranges from 100 μm to 2 mm (Swift et al. 1979). Incontrast, the pore diameters in a biochar particle canoften be smaller than 16 μm in diameter (Kawamotoet al. 2005; Glaser 2007; Hockaday et al. 2007).Based on the differences in the body sizes acrossthese different organisms, it is clearly possible thatmany of the pores within a biochar particle are largeenough to accommodate soil microorganisms, includ-

16 Plant Soil (2007) 300:9–20

Page 316: Agricultural Applications for Pine-Based BioChar

ing most bacteria and many fungi, to the exclusion oftheir larger predators. Thus, the biochar would beacting as a refuge for MHB, PSB and mycorrhizalfungi. Supporting evidence for this hypothesis comesfrom Saito (1990), Gaur and Adholeya (2000) andEzawa et al. (2002) who all showed that AMF readilycolonize porous materials and were capable of heavilycolonizing biochar particles in the soil. Lastly,Pietikäinen et al. (2000) and Samonin and Elikova(2004) showed that bacteria readily colonized biocharparticles; these may include MHB and/or PSB.

An important factor controlling pore size distributionis the charring temperature with higher temperaturesyielding finer pores. Another major factor in determiningthe degree to which biochar may serve as a refuge is theanatomical structure of the biological tissues pyrolyzedto yield the biochar. Considering the effects that celldiameter alone can have on the sorptive capability of agiven biochar material (Keech et al. 2005; Gundale andDeLuca 2006), it stands to reason that the cell typescontained within the original plant tissues (e.g.,tracheids, vessel elements or sieve cells) determine thepore sizes of the biochar. Not only the charringconditions and source material, but also subsequentinteractions of biochar with soil can change porosityand pore sizes. For example, adsorption of organicmatter to biochar surfaces can decrease porosity byblocking pores (Kwon and Pignatello 2005).

While it seems clear that mycorrhizal fungi can usebiochar as a habitat, the quantitative importance to theextraradical mycelium is not evident. This will highlydepend on the biochar properties and the biocharaddition rates. Nevertheless, the finer parts of themycelium, generally the absorptive hyphae, are morevulnerable to fungal grazers (Klironomos and Kendrick1996), and it is primarily these architectural elementsthat could be effectively protected within biocharparticles. It would depend, then, on the extent to whichthese ‘protected’ fine hyphae make a substantialcontribution towards nutrient uptake compared to therelatively ‘unprotected’ hyphae in the mineral andorganic soil, whether this hypothesized mechanism isquantitatively important.

Conclusions and research recommendations

Experimental results (Table 1) point to excitingpossibilities regarding biochar and its possible syner-

gy with arbuscular, ericoid, and ectomycorrhizalsymbioses. We have synthesized available data intoseveral potential mechanisms of biochar effects onmycorrhizae (Fig. 1). This should serve as a spring-board for testing the occurrence and relative impor-tance of these factors/mechanisms in the soil. Basedon this discussion we derive the following researchrecommendations:

(a) Methods reporting. In many cases it is helpful toknow as much detail about the experimentalbiochar application as possible. This should in-clude: source material, production temperature,application rate, application method, and whatmaterial was used in the control application toaccount for C addition effects (and the amounts ofavailable nutrients for both). This would facilitatecomparisons among studies and help distinguishamong the different mechanistic pathways; fre-quently these pieces of information are incomplete.

(b) Management implications. None of the studies todate have examined the management context ofbiochar application on AMF, and this would also bean important research need, since applicationpractices could have overriding effects on soil biota.

(c) Fungal communities. Studies to date have focusedon quantifying potential responses in fungal abun-dance measures, primarily root colonization andspore numbers (see Table 1). However, mycorrhi-zal fungi occur as species assemblages in ecosys-tems and in roots of individual plants (Johnson etal. 1992; Husband et al. 2002; Vandenkoornhuyseet al. 2003; Mummey et al. 2005). The speciescomposition of a mycorrhizal fungal assemblagecan be important to mycorrhizal functioning (e.g.,van der Heijden et al. 1998). Data on thisimportant aspect of the response of mycorrhizalfungi to biochar are not yet available, but representan important priority for future studies. Here, welimited our discussion to mechanisms affectingabundance; however, many of the argumentspresented could also be applied to explain poten-tial shifts in mycorrhizal fungal species composi-tion, because fungal life history strategies andresponsiveness to changing soil environments varybetween fungal taxa (e.g., Hart and Reader 2002;Escudero and Mendoza 2005; Drew et al. 2006).

(d) Negative effects. There is a potential for negativeeffects on mycorrhizal fungi, as discussed above;

Plant Soil (2007) 300:9–20 17

Page 317: Agricultural Applications for Pine-Based BioChar

it is therefore clearly also a research priority todefine the environmental circumstances (e.g., soilnutrient content, plants species) and biocharparameters (e.g., quality and application rate) thatlead to such effects. It is possible that negative orneutral effects have been under-reported.

Increasing atmospheric concentrations of carbondioxide have prompted the search for avenues oflong-term sequestration of carbon, particularly in thesoil (Lal 2004; Schiermeier 2006). Work on terrapreta de índio soil has inspired the use of biochar as apromising soil additive promoting carbon storage(Day et al. 2005; Lehmann et al. 2006; Marris 2006;Glaser 2007). Biochar can add value to non-harvestedagricultural products (Major et al. 2005; Topoliantz etal. 2005), and can promote plant growth (Lehmann etal. 2003; Oguntunde et al. 2004). Lehmann et al.(2006) estimated that a total of 9.5 billion tons ofcarbon could potentially be stored in soils by the year2100 using a wide variety of biochar applicationprograms. Once equipped with a better understandingof this potential synergism and the mechanisms thatdrive it, we could utilize biochar/mycorrhizae inter-actions for sequestration of carbon in soils tocontribute to climate change mitigation. This interac-tion could also be harnessed for the restoration ofdisturbed ecosystems, the reclamation of sites con-taminated by industrial pollution and mine wastes,increasing fertilizer use efficiencies (with all associ-ated economic and environmental benefits) and thedevelopment of methods for attaining increased cropyields from sustainable agricultural activities.

References

Akiyama K, Matsuzaki K-I, Hayashi H (2005) Plant sesqui-terpenes induce hyphal branching in arbuscular mycorrhizalfungi. Nature 435:824–827

Angelini J, Castro S, Fabra A (2003) Alterations in rootcolonization and nodC gene induction in the peanut-rhizobia interaction under acidic conditions. Plant PhysiolBiochem 41:289–294

Antal MJ Jr, Grønli M (2003) The art, science, and technology ofcharcoal production. Indust Engin Chem Res 42:1619–1640

Aspray TJ, Eirian Jones E, Whipps JM, Bending GD (2006)Importance of mycorrhization helper bacteria cell densityand metabolite localization for the Pinus sylvestris–Lactarius rufus symbiosis. FEMS Microbiol Ecol 56:25–33

Bais HP, Park SW, Weir TL, Callaway RM, Vivanco JM (2004)How plants communicate using the underground informa-tion superhighway. Trends Plant Sci 9:26–32

Bais HP, Weir TL, Perry LG, Gilroy S, Vivanco JM (2006) Therole of root exudates in rhizosphere interactions with plantsand other organisms. Annu Rev Plant Biol 57:233–266

Baldock JA, Smernik RJ (2002) Chemical composition andbioavailability of thermally altered Pinus resinosa (Redpine) wood. Organic Geochem 33:1093–1109

Bécard G, Piché Y (1989) Fungal growth stimulation by CO2

and root exudates in vesicular–arbuscular mycorrhizalsymbiosis. Appl Environ Microb 55:2320–2325

Cohn J, Bradley D, Stacey G (1998) Legume nodule organo-genesis. Trends Plant Sci 3:105–110

Day D, Evans RJ, Lee JW, Reicosky D (2005) EconomicalCO2, SOx, and NOx capture from fossil-fuel utilizationwith combined renewable hydrogen production and large-scale carbon sequestration. Energy 30:2558–2579

DeLuca TH, MacKenzie MD, Gundale MJ, Holben WE (2006)Wildfire-produced charcoal directly influences nitrogencycling in ponderosa pine forests. Soil Sci Soc Am J 70:448–453

Drew EA, Murray RS, Smith SE (2006) Functional diversity ofexternal hyphae of AM fungi: ability to colonize newhosts is influenced by fungal species, distance and soilconditions. Appl Soil Ecol 32:350–365

Duclos JL, Fortin JA (1983) Effect of glucose and activecharcoal on in-vitro synthesis of ericoid mycorrhiza withVaccinium spp. New Phytol 94:95–102

Duponnois R, Plenchette C (2003) A mycorrhiza helperbacterium enhances ectomycorrhizal and endomycorrhizalsymbiosis of Australian Acacia species. Mycorrhiza 13:85–91

Escudero V, Mendoza RE (2005) Seasonal variation ofarbuscular mycorrhizal fungi in temperate grasslandsalong a wide hydrologic gradient. Mycorrhiza 15:291–299

Ezawa T, Yamamoto K, Yoshida S (2002) Enhancement of theeffectiveness of indigenous arbuscular mycorrhizal fungi byinorganic soil amendments. Soil Sci Plant Nutr 48:897–900

Founoune H, Duponnois R, Bâ AM, Sall S, Branget I, LorquinJ, Neyra M, Chotte JL (2002) Mycorrhiza Helper Bacteriastimulate ectomycorrhizal symbiosis of Acacia holoser-icea with Pisolithus. New Phytol 153:81–89

Garbaye J (1994) Helper bacteria: a new dimension to themycorrhizal symbiosis. New Phytol 128:197–210

Gaur A, Adholeya A (2000) Effects of the particle size of soil-less substrates upon AM fungus inoculum production.Mycorrhiza 10:43–48

Gianinazzi-Pearson V, Branzanti B, Gianinazzi S (1989) Invitro enhancement of spore germination and early hyphalgrowth of a vesicular–arbuscular mycorrhizal fungus byhost root exudates and plant flavonoids. Symbiosis 7:243–255

Glaser B (2007) Prehistorically modified soils of centralAmazonia: a model for sustainable agriculture in thetwenty-first century. Phil Trans R Soc B 362:187–196

Glaser B, Lehmann J, Zech W (2002) Ameliorating physicaland chemical properties of highly weathered soils inthe tropics with charcoal – a review. Biol Fert Soils 35:219–230

Glaser B, Woods W (2004) Towards an understanding ofamazon dark earths. In: B Glaser, W Woods (eds)Amazondark earths: explorations in space and time. Springer,Berlin, pp 1–8

18 Plant Soil (2007) 300:9–20

Page 318: Agricultural Applications for Pine-Based BioChar

Gundale MJ, DeLuca TH (2006) Temperature and sourcematerial influence ecological attributes of Ponderosa pineand Douglas-fir charcoal. For Ecol Manag 231:86–93

Harrison MJ (2005) Signaling in the arbuscular mycorrhizalsymbiosis. Annu Rev Microbiol 59:19–42

Hart MM, Reader RJ (2002) Taxonomic basis for variation inthe colonization strategy of arbuscular mycorrhizal fungi.New Phytol 135:335–344

Harvey AE, Jurgensen MF, Larsen MJ (1976) Comparativedistribution of ectomycorrhizae in a mature Douglas-fir/Larch forest soil in western Montana. Forest Sci 22:350–358

Harvey AE, Jurgensen MF, Larsen MJ (1978) Seasonaldistribution in a mature Douglas-fir/Larch forest soil inwestern Montana. Forest Sci 22:203–208

Harvey AE, Larsen MF, Jurgensen MF (1979) Comparativedistribution of ectomycorrhizae in soils of three westernMontana forest habitat types. Forest Sci 25:350–358

Herrmann S, Oelmuller R, Buscot F (2004) Manipulation of theonset of ectomycorrhiza formation by indole-3-acetic acid,activated charcoal or relative humidity in the associationbetween oak micro-cuttings and Piloderma croceum:influence on plant development and photosynthesis. JPlant Physiol 161:509–517

Hildebrandt U, Janetta, K, Bothe H (2002) Towards growth ofarbuscular mycorrhizal fungi independent of a plant host.Appl Environ Microb 68:1919–1924

Hildebrandt U, Ouziad F, Marner F-J, Bothe H (2006) Thebacterium Paenibacillus validus stimulates growth of thearbuscular mycorrhizal fungus Glomus intraradices up tothe formation of fertile spores. FEMS Microbiol Lett 254:258–267

Hockaday WC, Grannas AM, Kim S, Hatcher PG (2007) Thetransformation and mobility of charcoal in a fire-impactedwatershed. Geochim Cosmochim Ac 71:3432–3445

Husband R, Herre EA, Turner SL, Gallery R, Young JPW(2002) Molecular diversity of arbuscular mycorrhizalfungi and patterns of host association over time and spacein a tropical forest. Mol Ecol 11:2669–2678

Ishii T, Kadoya K (1994) Effects of charcoal as a soilconditioner on citrus growth and vesicular–arbuscular mycor-rhizal development. J Jpn Soc Hortic Sci 63:529–535

Johnson NC, Tilman D, Wedin D (1992) Plant and soil controlson mycorrhizal fungal communities. Ecology 73:2034–2042

Johnson NC (1993) Can fertilization of soil select lessmutualistic mycorrhizae?. Ecol Appl 3:749–757

Kawamoto K, Ishimaru K, Imamura Y (2005) Reactivity ofwood charcoal with ozone. Wood Sci 51:66–72

Keech O, Carcaillet C, Nilsson MC (2005) Adsorption ofallelopathic compounds by wood-derived charcoal: therole of wood porosity. Plant Soil 272:291–300

Klironomos JN, Kendrick WB (1996) Palatability of micro-fungi to soil arthropods in relation to the functioning ofarbuscular mycorrhizae. Biol Fert Soils 21:43–52

Knicker H (2007) How does fire affect the nature and stabilityof soil organic nitrogen and carbon? A review. Biogeochemistry85:91–118

Kothamasi D, Kothamasi S, Bhattacharyya A, Kuhad RC, BabuCR (2006) Arbuscular mycorrhizae and phosphate sol-ubilising bacteria of the rhizosphere of the mangroveecosystem of Great Nicobar island, India. Biol Fert Soils42:358–361

Krull ES, Skjemstad JO, Graetz D, Grice K, Dunning W, CookG, Parr JF (2003) 13C-depleted charcoal from C4 grassesand the role of occluded carbon in phytoliths. OrgGeochem 34:1337–1352

Kwon S, Pignatello JJ (2005) Effect of natural organicsubstances on the surface and adsorptive properties ofenvironmental black carbon (char): pseudo pore blockageby model lipid components and its implications for N2-probed surface properties of natural sorbents. Env SciTechnol 39:7932–7939

Lal R (2004) Soil carbon sequestration to mitigate climatechange. Geoderma 123:1–22

Lehmann J (2007) Bio-energy in the black. Frontiers inEcology and the Environment 5:381–387

Lehmann J, Da Silva JP Jr, Steiner C, Nehls T, Zech W, GlaserB (2003) Nutrient availability and leaching in an archae-ological Anthrosol and a Ferralsol of the Central Amazonbasin: fertilizer, manure and charcoal amendments. PlantSoil 249:343–357

Lehmann J, Gaunt J, Rondon M (2006) Biochar sequestrationin terrestrial ecosystems – a review. Mitig Adapt StratGlobal Change 11:403–427

Lucas RE, Davis JF (1961) Relationships between pH values oforganic soils and availabilities of 12 plant nutrients. SoilSci 92:177–182

Major J, Steiner C, Ditommaso A, Falcão NP, Lehmann J(2005) Weed composition and cover after three years ofsoil fertility management in the central Brazilian Amazon:compost, fertilizer, manure and charcoal applications.Weed Biol Manag 5:69–76

Marris E (2006) Black is the new green. Nature 442:624–626Matsubara Y-I, Hasegawa N, Fukui H (2002) Incidence of

Fusarium root rot in asparagus seedlings infected witharbuscular mycorrhizal fungus as affected by several soilamendments. J Jpn Soc Hortic Sci 71:370–374

Miller RM, Miller SP, Jastrow JD, Rivetta CB (2002)Mycorrhizal mediated feedbacks influence net carbon gainand nutrient uptake in Andropogon gerardii. New Phytol155:149–162

Mori S, Marjenah (1994) Effect of charcoaled rice husks on thegrowth of Dipterocarpaceae seedlings in East Kalimantanwith special reference to ectomycorrhiza formation. J JapForestry Soc 76:462–464

Mummey DL, Rillig MC, Holben WE (2005) Neighboringplant influences on arbuscular mycorrhizal fungal com-munity composition as assessed by T-RFLP analysis. PlantSoil 271:83–90

Nair MG, Safir GR, Siqueira JO (1991) Isolation andidentification of vesicular–arbuscular mycorrhiza-stimula-tory compounds from clover (Trifolium repens) roots.Appl Environ Microb 57:434–439

Oguntunde PG, Fosu M, Ajayi AE, Van De Giesen ND (2004)Effects of charcoal production on maize yield, chemicalproperties and texture of soil. Biol Fert Soils 39:295–299

Pan MJ, Van Staden J (1998) The use of charcoal in in-vitroculture – A review. Plant Growth Regul 26:155–163

Paszkowski U (2006) A journey through signaling in arbuscularmycorrhizal symbioses. New Phytol 172:35–46

Pietikäinen J, Kiikkilä O, Fritze H (2000) Charcoal as a habitatfor microbes and its effect on the microbial community ofthe underlying humus. Oikos 89:231–242

Plant Soil (2007) 300:9–20 19

Page 319: Agricultural Applications for Pine-Based BioChar

Preston CM, Schmidt MWI (2006) Black (pyrogenic) carbon:A synthesis of current knowledge and uncertainties withspecial consideration of boreal regions. Biogeosciences3:397–420

Read DJ, Leake JR, Perez-Moreno J (2004) Mycorrhizal fungias drivers of ecosystem processes in heathland and borealforest biomes. Can J Bot 82:1243–1263

Riedlinger J, Schrey SD, Tarkka MT, Hampp R, Kapur M,Fiedler H-P (2006) Auxofuran, a novel metabolite thatstimulates the growth of fly agaric, is produced by themycorrhiza helper bacterium Streptomyces strain AcH505. Appl Environ Microb 72:3550–3557

Rillig MC (2004) Arbuscular mycorrhizae and terrestrialecosystem processes. Ecol Lett 7:740–754

Rillig MC, Mummey DL (2006) Mycorrhizas and soilstructure. New Phytol 171:41–53

Rondon M, Lehmann J, Ramírez J, Hurtado MP (2007)Biological nitrogen fixation by common beans (Phaseolusvulgaris L.) increases with biochar additions. Biol FertSoils 43:699–708

Saito M (1990) Charcoal as a micro habitat for VA mycorrhizalfungi, and its practical application. Agric Ecosyst Environ29:341–344

Samonin VV, Elikova EE (2004) A study of the adsorption ofbacterial cells on porous materials. Microbiology 73:810–816

Schiermeier Q (2006) Putting the carbon back. Nature442:620–623

Schmidt MWI, Noack AG (2000) Black carbon in soils andsediments: Analysis, distribution, implications and currentchallenges. Global Biogeochem Cy 14:777–793

Schwartz MW, Hoeksema JD, Gehring CA, Johnson NC,Klironomos JN, Abbott LK, Pringle A (2006) The promiseand the potential consequences of the global transport ofmycorrhizal fungal inoculum. Ecol Lett 9:501–515

Skjemstad JO, Janik LJ, Taylor JA (1998) Non-living soilorganic matter: What do we know about it? Aust. J ExpAgr 38:667–680

Swift RS (2001) Sequestration of carbon by soil. Soil Sci166:858–871

Swift MJ, Heal OW, Anderson JW (1979) Decomposition interrestrial ecosystems. University of California Press, Berkeley

Topoliantz S, Ponge J-F, Ballof S (2005) Manioc peel andcharcoal: a potential organic amendment for sustainablesoil fertility in the tropics. Biol Fert Soils 41:15–21

Treseder KK, Allen MF (2002) Direct nitrogen and phosphoruslimitation of arbuscular mycorrhizal fungi: a model andfield test. New Phytol 155:507–515

Tryon EH (1948) Effect of charcoal on certain physical,chemical, and biological properties of forest soils. EcolMonogr 18:81–115

Vaario LM, Tanaka M, Ide Y, Gill WM, Suzuki K (1999) Invitro ectomycorrhiza formation between Abies firma andPisolithus tinctorius. Mycorrhiza 9:177–183

Vandenkoornhuyse P, Ridgway KP, Watson IJ, Fitter AH,Young JPW (2003) Co-existing grass species havedistinctive arbuscular mycorrhizal communities. Mol Ecol12:3085–3095

Van der Heijden MG, Klironomos JN, Ursic M, Moutoglis P,Streitwolf-Engel R, Boller T, Wiemken A, Sanders IR (1998)Mycorrhizal fungal diversity determines plant biodiversity,ecosystem variability and productivity. Nature 396:69–72

Wallstedt A, Coughlan A, Munson AD, Nilsson MC, MargolisHA (2002) Mechanisms of interaction between Kalmiaangustifolia cover and Picea mariana seedlings. Can J ForRes 32:2022–2031

Xie Z-P, Staehelin C, Vierheilig H, Wiemken A, Jabbouri S,Broughton WJ, Vogeli-Lange R, Boller T (1995) Rhizo-bial nodulation factors stimulate mycorrhizal colonizationof nodulating and nonnodulating soybeans. Plant Physiol108:1519–1525

Yamato M, Okimori Y, Wibowo IF, Anshiori S, Ogawa M(2006) Effects of the application of charred bark of Acaciamangium on the yield of maize, cowpea and peanut, andsoil chemical properties in South Sumatra, Indonesia. SoilSci Plant Nutr 52:489–495

Zhu YG, Miller RM (2003) Carbon cycling by arbuscularmycorrhizal fungi in soil–plant systems. Trends Plant Sci8:407–409

20 Plant Soil (2007) 300:9–20

Page 320: Agricultural Applications for Pine-Based BioChar

Impact of Biological Growths (personal communication D. Day 2005)

- AM Fungi lifespan of ~3 weeks

- Glomalin lifespans averages 24 years, carbon in aggregates can be shorter but still ~18 years. (300x the life of the fungi - Total Soil Organic Carbon ~1500Gt

- With 7% of SOC =carbon from glomalin (CFG), = ~105Gt (Nichols)

With ~32% of SOC =carbon in aggregates resulting from glomalin, = ~480Gt (Nichols)

- An amount directly tied to AM Fungi and glomalin growth = ~31Gt of the carbon from glomalin and carbon resulting from glomalin (CRFG), classed as in the annual pool of flux. - CFG/CRFG probably does not rise linearly with glomalin growth but probably does increase as 50% of the total increase in AM fungi rise. - There are 93.5M km2 of biologically active land (UNEP) then ~334ton km-1 yr-1 of CFG/CRFG are in annual flux. - No till studies in the U.S. have found that soil carbon increases (mid level results) at 163 ton km-1 yr-1.

- Assuming charcoal addition can provide a 200% increase in AM fungi growth (Low end of Ishii's findings)

- And at 50%, doubles CFG production to 334 ton km-1 yr-1

- If 33% of the land were dedicated to energy crops and and converted to hydrogen or other fuel (7% yield @ ~2.5x107j kg-1), replacing coal (5.8x106j kg-1), and would replace 219 ton C km-1 of fossil C with C from bio-energy production. - Then 2.2 x10E6 km2 (2.0% of the earth's biologically active land) would need to be treated once every 3 yrs with a ton per hector with low temp char (or equivalent nutient enhanced charcaol) and using notill farming to create a sink to offset the 1.7Gt buildup. - A 400% AM fungi increase, then we would need to treat 1.5x10E6 km2 (1.6% of the earth biologically active land or 2.8 times the size of France). It is possible these amounts are not required annually since there is a significant carry over benefit from year to year. Ogawa (Japan) recommends only once every three years.

Page 321: Agricultural Applications for Pine-Based BioChar

AREA 1.2 • CHEMICALS IN SOILS/SEDIMENTS • RESEARCH ARTICLE

Reduction of nitrogen loss and Cu and Zn mobilityduring sludge composting with bamboo charcoal amendment

Li Hua & Weixiang Wu & Yuxue Liu &

Murray B. McBride & Yingxu Chen

Received: 28 December 2007 /Accepted: 10 August 2008 / Published online: 27 August 2008# Springer-Verlag 2008

AbstractBackground, aim, and scope Composting is an effectivetreatment process to realize sludge land application.However, nitrogen loss could result in the reduction ofnutrient value of the compost products and the stabilizationeffect of composting on heavy metal concentration andmobility in sludge has been shown to be very limited.Materials and methods Laboratory-scale experiments werecarried out to investigate the effects of bamboo charcoal(BC) on nitrogen conservation and mobility of Cu and Znduring sludge composting.Results The result indicated that the incorporation of BCinto the sludge composting material could significantlyreduce nitrogen loss. With 9% BC amendment, totalnitrogen loss at the end of composting decreased 64.1%compared with no BC amendment (control treatment).Mobility of Cu and Zn in the sludge may also have beenlessened, based on the decline in diethylenetriaminepenta-acetic acid-extractable Cu and Zn contents of compostedsludge by 44.4% and 19.3%, respectively, compared tometal extractability in the original material.Discussion Ammonia adsorption capability of BC might bethe main reason for the retention of nitrogen in sludgecomposting materials. Decrease of extractable Cu2+ and

Zn2+ in the composting material mainly resulted from theadsorption of both metals by BC.Conclusions Incorporation of BC into composting materialcould significantly lessen the total nitrogen loss during sludgecomposting. Mobility of heavy metals in the sludge compost-ing material could also be reduced by the addition of BC.Recommendations and perspectives Bamboo charcoalcould be an effective amendment for nitrogen conservationand heavy metal stabilization in sludge composts. Furtherresearch into the effect of BC-amended sludge compostmaterial on soil properties, bioavailability of heavy metals,and nutrient turnover in soil needs to be carried out prior tothe application of BC-sludge compost in agriculture.

Keywords Amendment . Bamboo charcoal .

Mobility of Cu and Zn . N conservation .

Sludge composting

AbbreviationsBC Bamboo charcoalFBC Fresh bamboo charcoalCBC Composted bamboo charcoalTOM Total organic matterTOC Total organic carbon

1 Background, aim, and scope

At least 15 million tons (78% water content) of municipalsewage sludge are produced annually in China. Due to theabsence of sound treatment methods, large amounts ofsludge have been stockpiled at temporary suburban storagesites. Many people regard land application as a cost-effective method for the disposal and beneficial use of

Environ Sci Pollut Res (2009) 16:1–9DOI 10.1007/s11356-008-0041-0

Responsible editor: Hailong Wang

L. Hua :W. Wu (*) :Y. Liu :Y. ChenCollege of Environmental and Resource Science,Zhejiang University,Hangzhou 310029, Chinae-mail: [email protected]

M. B. McBrideDepartment of Crop and Soil Science, Cornell University,Ithaca, NY 14853, USA

Page 322: Agricultural Applications for Pine-Based BioChar

sludge (Sigua et al. 2005; Su et al. 2007). However, thepresence of potentially toxic chemicals such as heavymetals in sludge could pose risks to the environment andhuman health (Illera et al. 2000; Hseu 2006). Composting isregarded as an effective treatment process to suppresspathogenic organisms and stabilize the organic material insewage sludge (Fang and Wong 1999; Hernández et al.2006). However, the stabilization effect of composting onheavy metal mobility in sludge has been shown to be verylimited (Amir et al. 2005; Liu et al. 2007). On the otherhand, nutrient loss is an unavoidable problem during thecomposting of organic waste. This is especially the case fornitrogen, the most essential fertilizer nutrient for cropproduction in many situations (Cooperband and Middleton1996; Rao Bhamidimarri and Pandey 1996). According toprevious research, total nitrogen (TN) loss during the courseof composting organic waste ranged from 16% to 76%(Barrington et al. 2002; Raviv et al. 2002). Substantial lossof nitrogen results in the reduction of nutrient value ofcompost products. Among all practicable nitrogen conserva-tion measures, an amendment was thought to be the mostefficient method to reduce nitrogen loss during composting.For example, alum, peat, and zeolite amendments have beenused to reduce ammonia volatilization during composting(Bernal et al. 1993; Kithome et al. 1999). Lime and coal flyash have also been applied as amendments to reduce themobility of heavy metals in composting mixtures (Fang andWong 1999; Qiao and Ho 1997). Nevertheless, lowefficiency, potentially negative influence on soil pH, andhigh cost are factors that have prevented these amendmentsfrom being adopted broadly in composting technology.

Bamboo charcoal (BC) is one kind of manufacturedbiocharcoal, a plentiful residual byproduct of the bambooprocessing industry. BC has a highly microporous physicalstructure. The porosity is about five times greater and theabsorption efficiency ten times higher than that of woodcharcoal (Zhang 2001). Bamboo charcoal may be an idealamendment for nutrient conservation and heavy metalstabilization due to its excellent adsorption capability.Recent research found that biocharcoals could act as soil

fertilizers or conditioners to increase crop yield and plantgrowth by supplying and retaining nutrients (Glaser et al.2000; Major et al. 2005; Steiner et al. 2007). However,there has been no research to date on the potentialapplication of bamboo charcoal in nutrient conservationand heavy metal stabilization during sludge composting.

The main objectives of this study, therefore, are toinvestigate the potential capability of BC to stabilize heavymetals and retain nitrogen during sludge composting and toclarify the possible mechanisms related to these functions.We assume that the results of this study will providepractical information to guide the exploitation of a novelcompost amendment in agricultural applications.

2 Materials and methods

The sewage sludge was collected from Fuyang wastewatertreatment plant located in a suburb of Hangzhou city,China. It treats more than 100,000 m3 of wastewaterannually and produces about 90 tons day−1 of sludge(80% water content). The bamboo charcoal particles used inthis study were purchased from the Yaoshi Charcoal-Production Company located in Hangzhou. Rapeseed marcwas purchased from a local farm, which was used as abulking agent in sludge composting due to its higher bulkdensity and lower moisture content. Characteristics ofsludge, bamboo charcoal, and rapeseed marc are listed inTable 1. Cu and Zn were chosen as sludge metals for study,because they are quantitatively prevalent metals in sludgesand are known to have higher bioavailability than lesssoluble metals such as Pb and Cr according to previousstudies (Oliveira et al. 2007; Dai et al. 2007).

2.1 Composting and sampling

Composting was carried out in a tank with dimensions of1.0×0.4×1.0 m and a volume of approximately 0.4 m3.There were six different treatments. The stock materialconsisted of 180-kg sewage sludge and 20-kg rapeseed

Table 1 Characteristics of sludge, rapeseed marc, and bamboo charcoal

Sludge Rapeseed marc Bamboo charcoal

Total nitrogen (%) 2.31±0.15 Total nitrogen (%) 1.01±0.05 Pyrolysis temperature (°C) 600

Organic matter (%) 34.32±2.26 Organic matter (%) 73.62±4.22 Density (g cm−3) 0.75±0.04

Total phosphorus (%) 1.5±0.10 Total phosphorus (%) 0.45±0.02 Specific surface (m2 g−1) 330±24

pH 7.41±0.15 pH 8.23±3.55 pH 7.32±0.1

Water content (%) 78.72±2.2 Water content (%) 8.30±4.24 Water content (%) 10±1

Total Zn (mg kg−1) 1,530±56 Total Zn (mg kg−1) ND Total Zn (mg kg−1) 0.45±0.03

Total Cu (mg kg−1) 270±15 Total Cu (mg kg−1) ND Total Cu (mg kg−1) ND

C/N 16±1 C/N 129±5 C/N 356±10

ND No detection

2 Environ Sci Pollut Res (2009) 16:1–9

Page 323: Agricultural Applications for Pine-Based BioChar

marc with 0%, 1%, 3%, 5%, 7%, 9% (w/w) of BCincorporated into the stock material. These BC treatmentsare labeled as control, 1% BC, 3% BC, 5% BC, 7% BC,and 9% BC. Aeration was ensured by forced ventilationduring the first 3 weeks of composting and by turning thepile over manually during the remaining incubation time.Temperature of the composting pile was recorded dailyusing temperature sensors. Each sampling was carried outin triplicate. All together, six times of samplings wereperformed.

2.2 Chemical analyses

Total nitrogen was measured by the Kjeldahl digestionmethod (Hernández et al. 2006). Total organic matter wasdetermined by potassium dichromate (K2Cr2O7) and sulfu-ric acid (H2SO4) oxidation (Dai et al. 2007). Pile mass wasbased on the total mass of all the composting materialincluding sludge, bamboo charcoal, and rapeseed marc atthe initial and the final composting stages. Based on the Nconcentration and the total pile mass before and aftercomposting, the actual N loss could be obtained. The actualN amount was calculated by multiplying the N concentra-tion and the total pile mass of the composting material. Theactual N loss was the difference between the initial Namount and the final N amount in the composting materials.Boehm titration (Boehm 1994) was used to quantifyvarious surface functional groups on the fresh BC (FBC)particle and composted BC (CBC; separated from mixedfinal composting materials) particle. A solar Thermo MkII-6 atomic absorption spectrometer with deuterium back-ground corrector was used to determine the contents ofheavy metal in compost samples. To determine the totalconcentration of heavy metals, 0.5 g of sample wasdigested in a 20-mL mixture of nitric, hydrochloric, andhydrofluoric acid (in the ratio 1:1:2; Scancara et al. 2000).Diethylenetriaminepentaacetic acid (DTPA)-extractablemetal contents were obtained by mechanically shaking thecompost samples at a 1:5 solid to extractant ratio (w/v) for2 h with 0.005 M DTPA+0.1 M triethanolamine solutionbuffered at pH 7.3 (Page et al. 1982).

2.3 Cu2+, Zn2+, and NH4+ adsorption by fresh BC

and composted BC

Twenty milliliters of Cu2+, Zn2+ solutions with the concen-trations of 200–2,000 mg L−1, or NH4

+ solutions withconcentrations of 2–10 mg L–1 were added to 0.2 g of FBC/CBC in order to find out if the change of surfacecharacteristic would result in the change of retainingcapability of bamboo charcoal to these ions. Coppersulphate pentahydrate (CuSO4·5H2O), zinc sulphate hepta-hydrate (ZnSO4·7H2O), and ammonium chloride (NH4Cl)

were used as stock chemicals in the BC adsorptionexperiments and the concentrations were dependent on theactual concentration in sludge of these ions. The solutionswith BC particle were then kept in a thermostatic shaker at250 rpm and 25°C for 48 h to achieve equilibrium.Afterwards, each sample was filtered to separate the FBC/CBC particles from solution. These particles were analyzedto determine amounts of Cu Zn and ammonium adsorbedand used for desorption tests. For the desorption experi-ment, the residual FBC or CBC samples collected from theadsorption experiment were extracted by 0.05 M DTPAsolution to measure the strength of Cu2+ and Zn2+ retentionon FBC/CBC. The detection process was the same asdescribed in the adsorption experiment. The heavy metalretention capability was expressed as the percent of the totalCu and Zn in BC that was retained after extracting byDTPA. The FBC/CBC particles which had already reachedammonium adsorption equilibrium were extracted with30 mL of 0.01 M CaCl2 (Nishantha Fernando et al. 2005)using the same conditions as described for adsorption. Theammonium retention capability was expressed by the sameapproach described for metals. In the adsorption–desorptiontest, triplicated sampling were implemented for the analysisof the bamboo charcoal in initial composting material andfinal composting material.

2.4 Data analysis

All data were expressed as means and standard deviationscompared statistically by Tukey’s t test at the 5% level withSPSS11.5 (SPSS for windows, version 11.5, USA). Anydifferences between values with p>0.05 are not consideredto be statistically significant.

3 Results

3.1 Chemical changes of material during composting

Temporal trends of the temperature within the compostingmaterials were quite similar regardless of the level of BCamendment (Fig. 1). The compost temperature rose to 55°Cwithin 5 days and remained above 55°C for around 7 days.Afterwards, the compost temperature gradually declined andreached ambient temperature in 30 days. Finally, the compostwent into maturation stage until composting was completed.

Total organic matter of the composting materialsexperienced a relatively fast decline at the early stage ofcomposting and then decreased steadily over time. Therewere no significant differences in total organic matter of thecomposting materials among different treatments except inthe early stage. By the end of the experiment, about 30% ofthe initial total organic matter had mineralized (Fig. 2). In

Environ Sci Pollut Res (2009) 16:1–9 3

Page 324: Agricultural Applications for Pine-Based BioChar

contrast, trends in the change of TN in compostingmaterials over the composting process varied with treat-ment. TN concentrations in the composting material withlower BC amendment (<3%) decreased during the thermo-philic phase and then increased afterwards. When the BCamendment rose to more than 5%, TN concentrations in thecomposting material increased over the entire compostingprocess (Fig. 3). A first-order kinetic equation was used tocalculate the potentially mineralizable C (C0):

Cm ¼ C0 1� e�kt� �

where Cm (mg C/kg) is the organic C mineralized at anyspecific time, t (days), and k is the first-order rate constant.

Similarly, the increase of N with time could be expressedas a first-order kinetics equation. Overall, the TN loss(based on mass balance) in the composting material

decreased with an increasing amount of BC amendment.The highest TN loss (674 g) was found in compostingmaterial with no BC amendment, whereas TN loss in thetreatment with 9% BC amendment was only 240 g, adifference of more than 64% (Table 2).

Boehm titration is one of the most widely used methodsto quantify acidic groups in charcoal. Based on this method,the amount of total acid groups of BC underwent asignificant change during the course of composting, whichincreased quickly in the first 4 weeks and became stableafter 28 days of composting. Among all acidic groups, theamount of carboxylic groups increased most. As shown inTable 3, the amount of carboxylic groups of BC increasedup to 0.69 mmol g−1 at the end of composting, which wasabout 2.4 times higher than that of the original value(0.29 mmol g−1). However, the amounts of phenolic andlactonic groups on BC surface increased only about 50%compared with those of the original values.

3.2 Changes of DTPA-extractable Cu and Zn contentsin the composting material

Sewage sludge contains various kinds of heavy metals.However, Cu and Zn are quantitatively primary heavymetals in sludge of China, as well as in sludge of othercountries (Udom and Mbagwu 2004; Dai et al. 2007).Relative percentages of total Cu and Zn in the compostingmaterial that were DTPA-extractable during the compostingprocess are shown in Figs. 4 and 5. In general, DTPA-extractable contents of Cu and Zn in the compostingmaterial decreased with composting time. The decrease ofDTPA-extractable Cu in the composting materials wasgreater than that of DTPA-extractable Zn content during thecomposting process. By the end of composting, DTPA-extractable Cu and Zn contents in the composting material

Fig. 2 Change of total organic matter during the course ofcomposting

Fig. 3 Change of total nitrogen concentration during the course ofcompostingFig. 1 Change of temperature during the course of composting

4 Environ Sci Pollut Res (2009) 16:1–9

Page 325: Agricultural Applications for Pine-Based BioChar

without BC amendment had decreased 29.2% and 12.0%,respectively, compared with the initial value before com-posting began. Furthermore, significant effects of BCamendment on the reduction of DTPA-extractable Cu andZn in composting material were observed during compost-ing, with the effects differing considerably depending onthe BC amendment level. For DTPA-extractable Cu, asignificant difference between the BC amendments and thenon-BC control was detected when the addition of BC washigher than 3%. For DTPA-extractable Zn, a differencebetween the BC amendments and the non-BC control wasfound only when the BC amendment was larger than 5%.Compared with the original value before composting, theDTPA-extractable Cu and Zn in the treatment with 9% BCamendment decreased 44.4% and 19.3%, respectively, overthe course of composting. Overall, in contrast to the non-BC control, DTPA-extractable Cu and Zn contents incomposting materials could be further reduced by 27.5%and 8.2%, respectively, with 9% BC amendment.

3.3 Cu2+, Zn2+, and NH4+ adsorption by BC before

and after composting

As shown in Table 4, the amount of Cu adsorbed onto BCwas much higher than that of Zn, which was consistent withthe fact that DTPA-extractable content of Cu decreased more

than that of Zn. For example, in solutions with 2,000 mg L−1

of Cu2+ and Zn2+, the amounts of Cu2+ adsorbed on FBCwas 36.0 mmol g−1, whereas Zn2+ adsorbed on FBC wasonly 14.2 mmol g−1. Results in Table 4 also indicate that theretention of Cu2+ and Zn2+ by FBC and CBC decreased asinitial adsorption of these two metals increased. The Cu2+

retention against DTPA extraction on FBC and CBCdecreased from 88.0% to 74.0% and 88.2% to 75.0%,respectively. Retention of Zn2+ on FBC and CBC decreasedfrom 69.8% to 53.5% and 70.0% to 52.1%, respectively.However, according to the result of Tukey’s t test, nodifference was observed between the retention capability ofFBC and CBC for Cu2+ and Zn2+. According to NishanthaFernando et al. (2005), the retaining of NH4

+ against Ca2+

exchange can express the retaining capacity of absorbent toNH4

+; therefore, CaCl2 was adopted as extracting solvent indesorption test to determinate the retaining rate of BC toNH4

+. In this research, the retention of NH4+ against Ca2+

exchange on FBC decreased with increasing adsorption onBC (Table 5), a pattern of behavior similar to that of Cu2+

and Zn2+. However, the retention of NH4+ on CBC did not

decrease significantly with an increase of adsorption. Asignificantly greater retention of NH4

+ was observed byCBC compared to FBC, which indicated that composting hasa significantly positive effect on the adsorption capability ofBC for NH4

+.

Table 3 Amount of surface functional groups determined by Boehm titration (p<0.05)

Sample Carboxylic groups

(mmol g–1)

Phenolic and lactonic groups (mmol g–1) Total acidic functional groups (mmol g–1)

Original BC 0.29e±0.03 0.84c±0.03 1.17d±0.05

BC after 7 days composting 0.36de±0.04 0.88c±0.07 1.26d±0.07

BC after 14 days composting 0.46cd±0.05 1.02b±0.06 1.48c±0.04

BC after 21 days composting 0.55bc±0.04 1.10b±0.04 1.66b±0.05

BC after 28 days composting 0.62ab±0.03 1.24a±0.05 1.86a±0.03

BC after 35 days composting 0.67a±0.05 1.26a±0.07 1.94a±0.03

BC after 42 days composting 0.69a±0.06 1.27a±0.08 1.95a±0.02

Amount values of surface functional groups followed by different small letters within the same vertical column are different significantly at 5%level

Table 2 Mass balances and losses of nitrogen during composting of sludge

Treatment Initial material Finished material N loss (g) N loss rate (%)

Pile mass (kg) Content (g kg−1) N mass (g) Pile mass (kg) Content

(g kg−1)

N mass (g)

Control 200 8.3 1,660.0 105. 9.30 983.6 676.4 40.7

1% BC 202 8.21 1,658.4 106 9.63 1,022.76 635.6 38.3

3% BC 206 8.07 1,662.6 109 10.36 1,127.2 535.4 32.2

5% BC 210 7.94 1,667.4 113 10.83 1,219.5 447.9 26.7

7% BC 214 7.82 1,673.5 117 11.32 1,327.8 345.7 20.4

9% BC 218 7.63 1,663.3 120 11.87 1,423.2 240.1 14.6

Environ Sci Pollut Res (2009) 16:1–9 5

Page 326: Agricultural Applications for Pine-Based BioChar

4 Discussion

Bamboo charcoal amendment has little effect on themicrobial activity and organic matter mineralization duringsludge composting, based on the measured temporalchanges in temperature and organic matter content. How-ever, TN loss in the composting material varied dependingon the amount of BC amendment. Overall, nitrogen lossdecreased as the amount of BC incorporated into thecomposting materials increased. It is generally known thatsurface area and pore size distribution, as well asheteroatoms and compounds affecting surface properties,affect the adsorption capacity (Tennant and Mazyck 2007).As shown in Table 1, the specific surface and bulk densityof BC were 330 m2 g−1 and 0.75 g cm−3, indicating that BChas a substantial adsorption capability. It is probably thishigh adsorption capability resulted in the considerablereduction of TN loss with the BC amendment during andafter sludge composting. Specifically, ammonia adsorption

capability of BC might be the main reason for the retentionof nitrogen in sludge composting materials, as 47–77% ofnitrogen loss has been reported as resulting from ammoniavolatilization during composting (Martins 1992). Thereductions of TN content in composting materials withlower amount of BC amendment during the thermophilicperiod were probably attributable to an insufficient concen-tration of BC particles to adsorb ammonia emitted rapidlyby the degradation of proteins and amino acids (Pagans etal. 2006). However, ammonia binding to complex organicmaterials involved in the humification process has a role inpreventing ammonia release and volatilization at thematuration stage (Paredes et al. 2002; Baddi et al. 2004).As a result, the TN concentration recovered to highervalues in the composting materials as weight loss due to themineralization of organic matter continued in the matura-tion phase.

According to adsorption theory, the adsorbate occupiessites where it is more exchangeable or labile first by a fastreaction and then migrates to sites where it is lessexchangeable over time. Therefore, after the sites withnonexchangeable adsorbate are filled, additional adsorbatewill remain exchangeable, suggesting that adsorbate wouldbe released more easily as greater loading occurs on theadsorbent. In this study, the NH4

+ retention rate of FBCdecreased as the amount of adsorption increased, indicatingthe lower stability of adsorption at higher levels. Thesaturation of strong binding sites at high adsorptionamounts could explain the phenomenon. However, resultsfor the CBC desorption test showed that there were nosignificant differences in NH4+ retention rate regardless ofamount of NH4

+ adsorbed, which indicated that compostingcould improve the nitrogen conservation capacity of BC.As the results of Boehm titration have shown, the amountof total acidic groups, especially carboxylic groups, whichwould retain NH4

+ through ionic bonding, increasedsubstantially during the course of composting. As is wellknown, ionic bonding is more energetic than simplephysical adsorption. This could explain the high retentionrate of NH4

+ on CBC, even for treatments with higheradded NH4+. Therefore, we conclude that the bio-oxidationof BC during sludge composting could increase NH4

+

conservation, with this increase mainly attributed to theincreased acid groups on the BC surface. NishanthaFernando et al. (2005) stated that the carboxylic groupsmay deprotonate and therefore form complexes with NH4

+,and phenolic constituents could react with NH4+ to formstable complexes. Some authors had also reported thenitrogen retention properties of other biocharcoals. Forexample, Oya and Iu (2002) and Iyobe et al. (2004) foundblack charcoal in soil could efficiently adsorb ammonia andact as a buffer for ammonia in soil, suggesting that it hasthe potential to decrease ammonia volatilization from

Fig. 5 Change of DTPA-extractable Zn content during the course ofcomposting

Fig. 4 Change of DTPA-extractable Cu content during the course ofcomposting

6 Environ Sci Pollut Res (2009) 16:1–9

Page 327: Agricultural Applications for Pine-Based BioChar

agricultural fields. However, there have been no studiesprior to this research about the effect of biocharcoal andespecially BC on nitrogen conservation during the course ofcomposting.

DTPA-extractable content of heavy metals can estimatethe mobility of heavy metals in most cases (Hseu 2006;Fang and Wong 1999). In comparison with the originalvalues before composting, DTPA-extractable contents ofCu2+ and Zn2+ in treatment with 9% BC decreased by44.4% and 19.3%, respectively, over the course ofcomposting. In contrast to the non-BC control, DTPA-extractable contents of Cu2+ and Zn2+ in compostingmaterial could be further decreased by 27.5% and 8.2%,respectively, with the 9% BC amendment. This additionaldecrease of extractable Cu2+ and Zn2+ in the compostingmaterial mainly resulted from the adsorption of both metalsby BC. The findings of Hiller and Brümmer (1997) thatcharcoal particles tended to accumulate heavy metalssupport this hypothesis. In addition, the results of thisstudy indicated that BC played a more efficient role instabilization of Cu2+ than Zn2+. This stabilization discrep-ancy might result from the different adsorption stability ofBC to Cu2+ and Zn2+, which may correlate with the greater

tendency for covalent bonding (higher electronegativity) ofCu. In addition, the results of adsorption–desorption testsshowed that the retention of Cu2+ and Zn2+ on FBC andCBC decreased with increasing adsorbate loading. Accord-ing to the adsorption theory mentioned above, this decreasecould be explained by saturation of the strong binding siteson the absorbent. Moreover, there was no significantdifference in Cu2+ and Zn2+ retention by FBC comparedto CBC, thus suggesting that BC oxidation duringcomposting had no evident effect on the adsorption ofCu2+ and Zn2+ by BC.

5 Conclusions

Incorporation of BC into composting material couldsignificantly lessen the total nitrogen loss during sludgecomposting. TN loss decreased with an increasing amountof BC amendment. In comparison to the non-BC control,the amendment of 9% BC reduced TN loss from the sludgecomposting material by 64.1% after composting. Thisreduction of TN loss mainly resulted from the highadsorption capacity of BC and the bio-oxidation of BC

Table 4 Results of adsorption–desorption tests of Cu and Zn on fresh bamboo charcoal and composted bamboo charcoal (p<0.05)

Concentration

of solution

for adsorption

test (mg L−1)

Cu Zn

FBC CBC FBC CBC

Sorption

value

(mmol g−1)

Retention rate

(%)

Sorption

value

(mmol g−1)

Retention rate

(%)

Sorption

value

(mmol g−1)

Retention rate

(%)

Sorption

value

(mmol g−1)

Retention rate

(%)

200 6.14e±0.15 87.99a±2.32A 6.01e±0.29 88.18a±3.25A 4.94e±0.41 69.78a±2.11A 4.33d±0.29 70.0a±2.15A

400 15.01d±0.25 87.25a±2.54A 14.23d±0.28 86.58a±3.11A 6.40d±0.15 68.76a±2.35A 6.49c±0.23 68.85a±2.55A

800 27.49c±0.84 81.57b±2.23A 25.82c±0.76 82.68b±2.15A 8.97c±0.81 63.64b±1.46A 8.81b±0.6 63.36b±2.02A

1,200 31.54b±1.68 80.81b±2.10A 29.80b±0.60 79.95b±1.20A 10.63b±0.31 64.54b±1.96A 9.67b±0.17 63.17b±2.50A

1,600 34.48a±1.37 74.58c±2.47A 33.89a±0.28 75.18c±2.16A 13.23a±1.15 59.96c±2.38A 12.30a±0.21 58.87c±2.29A

2,000 35.99a±2.04 74.02c±3.18A 34.61a±0.56 74.96c±3.12A 14.22a±0.73 53.53d±2.24A 13.25a±0.86 52.10d±2.10A

Sorption values followed by different small letters within the same vertical column are different significantly at 5% level. Retention rate followedby different capital letter of BC and CBC transversely are different significantly at 5% level

Table 5 Results of adsorption–desorption tests of ammonium on fresh bamboo charcoal and composted bamboo charcoal (p<0.05)

Concentration of solution for

adsorption test (mg L−1)

FBC CBC

Sorption value (mmol g−1) Retention rate (%) Sorption value (mmol g−1) Retention rate (%)

2 0.53d±0.02 84.4a±3.08A 0.56c±0.02 88.2a±2.30A

4 0.81c±0.04 83.8a±3.14B 0.92b±0.05 88.8a±2.82A

6 1.05b±0.04 76.6b±2.26B 1.15a±0.05 87.7a±3.29A

8 1.17a±0.03 75.1b±2.85B 1.22a±0.03 87.7a±3.45A

10 1.20a±0.02 70.9c±2.56B 1.23a±0.05 88.1a±2.44A

Sorption values followed by different small letters within the same vertical column are different significantly at 5% level. Retention rate followedby different capital letters of BC and CBC transversely are different significantly at 5% level

Environ Sci Pollut Res (2009) 16:1–9 7

Page 328: Agricultural Applications for Pine-Based BioChar

particles during composting, which significantly increasedthe amount of surface acid groups, especially carboxylicgroups.

Mobility of heavy metals in the sludge composting couldalso be reduced by the addition of BC. However, thestabilization effect of BC was different for Cu2+ and Zn2+.DTPA-extractable contents of Cu2+ and Zn2+ in sludgecomposting material with 9% BC amendment dropped27.5% and 8.2%, respectively, at the end of composting ascompared with that of the non-BC control. There was nosignificant difference in the ability of FBC compared toCBC to retain either Cu2+ or Zn2+, indicating thatcomposting had little effect on the adsorption capacity ofBC for these heavy metals.

6 Recommendations and perspectives

According to the results of the study, it is concluded thatBC could be an effective amendment for nitrogen conser-vation and heavy metal stabilization in sludge composts.However, further research into the effect of BC-amendedsludge compost material on soil properties, bioavailabilityof heavy metals, and nutrient turnover in soil needs to becarried out prior to the application of BC-sludge compost inagriculture.

Acknowledgements This study was partially supported by ChinaNational Natural Science Fund (40432004), Project of Science andTechnology Department of Zhejiang Province (2006C13066 and2007C03002), and Program for New Century Excellent Talents inUniversity.

References

Amir S, Hafidi M, Merlina G, Revel JC (2005) Sequential extractionof heavy metals during composting of sewage sludge. Chemo-sphere 5:801–810

Baddi GA, Hafidi M, Cegarra J, Alburquerque JA, Gonzálvez J,Gilard V, Revel JC (2004) Characterization of fulvic acids byelemental and spectroscopic (FTIR and 13C-NMR) analysesduring composting of olive mill wastes plus straw. BioresourTechnol 9:285–290

Barrington S, Choinière D, Trigui M (2002) Effect of carbon sourceon compost nitrogen and carbon losses. Bioresour Technol 83(3):189–194

Bernal MP, Lopez-Real JM, Scott KM (1993) Application of naruralzeolites for the reduction of ammonia emission during the com-posting of organic waste in a laboratory composting simulators.Bioresour Technol 43:35–39

Boehm HP (1994) Some aspects of surface chemistry of carbon blacksand other carbons. Carbon 32:759–770

Cooperband LR, Middleton JH (1996) Changes in chemical, physicaland biological properties of passively-aerated cocompostedpoultry litter and municipal solid waste compost. Compost SciUtil 4:24–34

Dai JY, Xu MQ, Chen JP, Yang XP, Ke ZS (2007) PCDD/F, PAH andheavy metals in the sewage sludge from six wastewater treatmentplants in Beijing, China. Chemosphere 66:353–361

Fang M, Wong JWC (1999) Effects of lime amendment on availabilityof heavy metals and maturation in sewage sludge composting.Environ Pollut 106:83–89

Glaser B, Balashov E, Haumaier L, Guggenberger G, Zech W (2000)Black carbon in density fractions of anthropogenic soils of theBrazilian Amazon region. Org Geochem 31:669–678

Hernández T, Masciandaro G, Moreno JI, García C (2006) Changes inorganic matter composition during composting of two digestedsewage sludges. Waste Manage 26:1370–1376

Hiller DA, Brümmer GW (1997) Electron microprobe studies on soilsamples with varying heavy metal contamination: part 2.Contents of heavy metals and other elements in aggregations ofhumic substances, litter residues, and charcoal particles. ZPflanzenernähr Bodenkd 160:47–55

Hseu ZY (2006) Extractability and bioavailability of zinc over time inthree tropical soils incubated with biosolids. Chemosphere63:762–771

Illera V, Walter I, Souza P, Cala V (2000) Short-term effects ofbiosolid and municipal solid waste applications on heavy metalsdistribution in a degraded soil under a semiarid environment. SciTotal Environ 255:29–44

Iyobe T, Asada T, Kawata K, Oikawa K (2004) Comparison ofremoval efficiencies for ammonia and amine gases betweenwoody charcoal and activated carbon. J Health Sci 50:148–153

Kithome M, Paul JW, Bomk AA (1999) Reducing nitrogen lossesduring simulated composting of poultry manure using absorbentsor chemical amendments. J Environ Qual 28:194–201

Liu YH, Ma LL, Li YQ, Zheng LT (2007) Evolution of heavy metalspeciation during the aerobic composting process of sewagesludge. Chemosphere 67:1025–1032

Major J, Steiner C, Ditommaso A, Falcǎo NPS, Lenmann J (2005)Weed composition and cover after three years of soil fertilitymanagement in the central Brazilian Amazon: compost, fertilizer,manure and charcoal applications. Weed Biol Manag 5:69–76

Martins O (1992) Loss of nitrogenous compounds during compostingof animal wastes. Bioresour Technol 4:10–16

Nishantha Fernando WAR, Kang X, Charles WR (2005) Sorption anddesorption of ammonium from liquid swine waste in soils. SoilSci Soc Am J 69:1057–1065

Oliveira AS, Bocio A, Beltramini Trevilato TM, Magosso TakayanaguiAM, Domingo JL, Segura-Muñoz SI (2007) Heavy metals inuntreated/treated urban effluent and sludge from a biologicalwastewater treatment plant. Environ Sci Pollut Res 14(7):483–489

Oya A, Iu WG (2002) Deodorization performance of charcoalparticles loaded with orthophosphoric acid against ammoniaand trimethylamine. Carbon 40:1391–1399

Pagans E, Barrena R, Font X, Sánchez A (2006) Ammonia emissionsfrom the composting of different organic wastes-dependency onprocess temperature. Chemosphere 62:1534–1542

Page AL, Miller RH, Keeney DR (1982) Method of soil analysis, part2—chemical and microbiological properties, 2nd edn. ASA,SSSA, Madison, WI Agronomy, no 9

Paredes C, Bernal MP, Cegarra J, Roig A (2002) Biodegradation ofolive mill wastewater sludge by its co-composting with agricul-tural wastes. Bioresour Technol 85:1–8

Qiao L, Ho G (1997) The effects of clay amendment and compostingon metal speciation in digested sludge. Water Res 31:951–964

Rao Bhamidimarri SM, Pandey SP (1996) Aerobic thermophiliccomposting of piggery solid wastes. Water Sci Technol 33(8):89–94

Raviv M, Medina S, Karasnovsky A (2002) Conserving nitrogenduring composting. Biocycle 43(9):48–51

8 Environ Sci Pollut Res (2009) 16:1–9

Page 329: Agricultural Applications for Pine-Based BioChar

Scancara J, Milacica R, Straza M (2000) Total metal concentrationsand partitioning of Cd, Cr, Cu, Fe, Ni and Zn in sewage sludge.Sci Total Environ 250:9–19

Sigua GC, Adjei MB, Rechcigl JE (2005) Cumulative and residualeffects of repeated sewage sludge applications: forage productiv-ity and soil quality implications in South Florida, USA ESPR.Environ Sci Pollut Res 12(2):80–88

Steiner C, Teixeira WG, Lehmann J, Nehls T, de Macêdo JLV, BlumWEH, Zech W (2007) Long term effects of manure, charcoaland mineral fertilization on crop production and fertility on ahighly weathered Central Amazonian upland soil. Plant Soil291:275–290

Su JJ, Wan HL, Kimberley MO, Beecroft K, Magesan GN, Hu CX(2007) Fractionation and mobility of phosphorus in a sandy forestsoil amended with biosolids. Environ Sci Pollut Res 14(7):529–535

Tennant MF, Mazyck DW (2007) The role of surface acidity and poresize distribution in the adsorption of 2-methylisoborneol viapowdered activated carbon. Carbon 45:858–864

Udom BE, Mbagwu JSC (2004) Distribution of Zn, Cu, Cd, and Pb ina tropical ultisol after long-term disposal of sewage sludge.Environ Int 4(2):467–470

Zhang QS (2001) Prospect and utilization of bamboo resources inChina, mechanism and science of bamboo charcoal and bamboovinegar (in Chinese). China Forestry, Beijing

Environ Sci Pollut Res (2009) 16:1–9 9

Page 330: Agricultural Applications for Pine-Based BioChar

BIOCHAR VOLATILE MATTER CONTENT EFFECTS ON PLANT GROWTH AND NITROGEN TRANSFORMATIONS IN A TROPICAL

SOIL

Jonathan L. Deenik, A.T. McClellan and G. Uehara Department of Tropical Plant and Soil Sciences, University of Hawaii, Honolulu, HI

ABSTRACT

Biochars made from modern pyrolysis methods have attracted widespread attention as potential soil amendments with agronomic value. A series of greenhouse experiments and laboratory incubations were conducted to assess the effects of biochar volatile matter (VM) content on plant growth, nitrogen (N) transformations, and microbial activities in an acid tropical soil. High VM biochar inhibited plant growth and reduced N uptake with and without the addition of fertilizers. Low VM charcoal supplemented with fertilizers improved plant growth compared with the fertilizer alone. The laboratory experiments showed that high VM biochar increased soil respiration and immobilized considerable quantities of inorganic N. This research shows that biochar with high VM content may not be a suitable soil amendment in the short-term.

INTRODUCTION

The use of biochar as a soil amendment is modeled on the C-rich anthropogenic soils known as “Terra Preta do Indio” (Indian black earth) found in Amazonia and associated with habitation sites of pre-contact Amerindian populations dating as far back as 7,000 cal yr BP (Glaser, 2007). The defining characteristic of Terra Preta soils is the presence of large quantities of charcoal in the soil organic matter to depths of 1 m or greater (Glaser et al., 2000; Sombroek et al., 1993). These soils are remarkable because they have remained fertile and enriched in soil C compared with adjacent forest soils despite centuries of cultivation.

Recent efforts to replicate the “Terra Preta” phenomenon using biochars created from modern pyrolysis techniques show that charcoal additions can have an ameliorating effect on highly weathered, infertile tropical soils by increasing CEC and plant nutrient supply, reducing soil acidity and aluminum toxicity, and improving fertilizer efficiency due to reduced nutrient leaching (Glaser at al., 2002; Lehmann et al., 2003). Plant growth response to charcoal amended soils has been variable with both negative and positive results reported in the scientific literature (Glaser at al., 2002). Several studies have reported that plant growth responses are largest when charcoal and fertilizers are combined suggesting a synergistic relationship (Chan et al., 2007; Lehmann et al., 2003; Steiner et al., 2007). Gundale and Deluca (2007) observed that laboratory produced charcoal from ponderosa pine and Douglas-fir had a negative effect on plant growth whereas the same charcoal created from wildfires showed a positive effect on plant growth. The authors speculated that the low temperature charring method used to create the charcoal in the laboratory either created toxic compounds that inhibited plant growth or acted as a source of labile carbon (C) stimulating microbial growth and N immobilization. The objectives of the present research were to determine the effects of charcoal volatile matter content on plant growth and N transformations in a tropical acid soil. We hypothesized that biochar created at low temperatures with high VM would increase microbial activity resulting in a decrease in plant available N due to immobilization.

Western Nutrient Management Conference. 2009. Vol. 8. Salt Lake City, UT. Page 26

Page 331: Agricultural Applications for Pine-Based BioChar

MATERIALS AND METHODS Two greenhouse bioassays and two laboratory incubations were conducted to test the effects

of biochar VM content on plant growth and N transformations. The soil was an infertile, acid Leilehua series (very-fine, ferruginous, isothermic, ustic kanhaplohumults) collected from the 30-80 cm depth at the Waiawa Correctional Facility, Mililani, Oahu Island (N21°26’53”, W157° 57’ 52”). The charcoal feedstock used in our experiments was macadamia nut shells. The charcoal was made using a flash carbonization process developed at the Natural Energy Institute at the University of Hawaii (Antal et al., 2003). Selected chemical properties of the soil and biochars used in the different experiments are presented in Table 1. Total C and N content of the biochars were determined by dry combustion on a LECO CN-2000. Biochar pH was measure in 1:1 slurry of charcoal to deionized water. Base cations were extracted with 1M ammonium acetate at pH 7 and Al+++ was extracted with 1M KCl and measured in solution by inductive coupled plasma spectrophotometer. The effective cation exchange capacity (ECEC) of the biochars and soil was determined by summing the exchangeable cations.

Table 1. Selected chemical properties of the Leilehua soil, and the biochars used in the greenhouse and laboratory experiments (LVM = low VM content and HVM = high VM content).

VM Ash OC TN pH P K Ca Mg Na Al ECEC

% mg kg-1 cmolc kg-1 Soil

Leilehua 4.28 0.12 4.70 2.22 0.09 0.72 0.52 0.29 1.61 3.22 Charcoal

LVM MacNut 6.30 4.18 88.7 0.45 8.16 17.2 1.25 3.7 0.31 0.011 22.5

HVM MacNut 22.5 3.33 85.2 0.45 5.72 18.5 0.74 0.7 0.15 0.032 20.2

In the first greenhouse bioassay we imposed five treatments consisting of a control

(unamended soil), soil+lime, soil+biochar, soil+lime+NPK and soil+biochar+lime+NPK arranged in randomized block design with four replications. The biochar contained 22.5 % VM and was considered a high VM biochar. Biochar was applied to achieve 10% (w/w), lime to achieve 2 T ha-1, N as NH4NO3 at a rate of 200 mg N kg-1, P as Ca(H2PO4)2 to achieve a rate of 750 mg P kg-1, K and Mg were added in solution at a rate equivalent to 200 and 100 kg ha-1 respectively, and the micronutrients Cu, Mn, and Zn were added in solution at a rate of 10 kg ha-

1. We used corn (Zea mays, var super sweet #9) as the test crop. Eight corn seeds were planted into each pot and thinned to four plants after emergence. The second greenhouse bioassay consisted of five treatments (unamended soil, soil+lime+NPK, soil + high VM biochar, soil + low VM biochar, soil + low VM biochar + NPK) installed in a complete randomized block design with four replicates. Lime and fertilizers were applied at the same rates as in the first experiment and corn was the test crop. At harvest time, above-ground biomass was cut at the soil surface dried at 70°C for 72 hours, weighed and tissue analyzed for nutrient content according to standard procedures (Hue et al., 2000).

We conducted two laboratory studies to evaluate the effect of biochar VM content on net N mineralization rates and on CO2 respiration. Both experiments consisted of three treatments, a control (untreated Leilehua soil) and the Leilehua soil amended with high and low VM macadamia nut biochar applied at the same rate as in the greenhouse experiment. For the N

Western Nutrient Management Conference. 2009. Vol. 8. Salt Lake City, UT. Page 27

Page 332: Agricultural Applications for Pine-Based BioChar

study, the biochar was mixed thoroughly with 50 g (oven dry equivalent) of soil followed by the addition of the appropriate volume of deionized water required to bring the soil to 75% of water holding capacity. The soils were placed in 100 mL beakers, weighed at the outset of the incubation, covered with perforated parafilm, and incubated at constant temperature (28°C) and moisture. Soils were sampled and analyzed for inorganic N, protease activity, and K2SO4 extractable organic C and TN after 2, 7, and 14 days. The soluble C fraction of the biochar was determined by shaking 3 g of biochar in 30 mL deionized water for 1 hour and filtering through a 45 μm nylon membrane. For the CO2 respiration study, we used the alkali adsorption method where 50 g of treated and untreated soils and 50 ml of 0.05 M NaOH were sealed in airtight 1 L mason jars and incubated at 28°C for 14 days (Alef, 1995). The beaker containing the NaOH solution was removed from the mason jar at 48 hour intervals and titrated with 0.05 M HCl following the addition of 0.5 M BaCl2. Four mason jars with the 0.05 M NaOH solution, but without soil were used as controls. RESULTS AND DISCUSSION

The high VM biochar used in the first greenhouse bioassay had a significant negative effect on corn growth compared to the control (Fig. 1). Amending the soil with conventional inorganic fertilizers (lime+NPK) produced significant increases in corn growth, but the beneficial effects of the fertilizer was erased when combined with charcoal. Indeed, by combining charcoal with the fertilizer there was an approximately 50% decline in corn growth compared with the fertilized soil. Corn plants growing in the control soil showed very low N, P and K concentrations in the tissue (data not shown). Tissue N and K concentrations remained low after the addition of charcoal, but P concentrations increased significantly. Applying NPK fertilizers significantly increased tissue N, P, and K concentrations and the accompanying significant rise in dry matter production indicated that the Leilehua soil was severely deficient in N, P, and K. The biochar in combination with fertilizers, however, significantly decreased tissue N, P, and K concentrations compared to the fertilizer control treatment. Our observations were in disagreement with a recent greenhouse experiment reporting that biochar significantly improved N fertilizer use efficiency by radish plants (Chan et al., 2007). We speculated that the relatively high VM content of the biochar used in this experiment may have played a role in inhibiting corn growth.

S S+C S+LS+F+L

S+C+F+L

Shoo

t Bio

mas

s ( g

pot

-1)

0

1

2

3

4

5

b

d

c

a

c

Figure 1. Treatment effects on above ground corn dry matter production in an infertile Leilehua soil amended with high VM biochar and fertilizer (S = soil, S+C = soil + biochar, S+L = soil + lime, S+F+L = soil + NPK + lime, S+C+F = soil + biochar + NPK).

Western Nutrient Management Conference. 2009. Vol. 8. Salt Lake City, UT. Page 28

Page 333: Agricultural Applications for Pine-Based BioChar

The results of the second greenhouse experiment showed that biochar VM content had significant effects on plant growth. High VM biochar significantly reduced shoot dry matter compared with the control whereas low VM biochar had no significant effect on dry matter production (Fig. 2). Corn growth was significantly better in the low VM charcoal treatment than in the high VM charcoal treatment. The low VM biochar combined with fertilizer showed a significant increase in dry matter production compared with the fertilizer alone treatment. The high VM biochar reduced N uptake by 50% compared with the control. On the other hand, the low VM biochar did not reduce N uptake in either biochar alone treatment or the biochar augmented with fertilizer treatment. Although the low VM biochar with fertilizer treatment did not show as high an increase in plant growth nor a significant increase in N uptake compared with the fertilizer treatment as in the results reported by Chan and his group (2007), our results provide evidence that the VM content of the biochar is an important factor affecting its agronomic value as a soil amendment. We suspected that high VM charcoal is a source of labile C for soil microorganisms, and the high C:N ratio of the C source stimulated immobilization of the plant available N in the soil causing N deficiency in the growing plants. A recent experiment reported similar results showing that charcoal produced at low temperature (350°C) had a negative effect on plant growth (Gundale and DeLuca, 2007), and the researchers speculated that the decline in plant growth was caused by N immobilization due to high concentrations of soluble and total phenols in the charcoal, which served as a high C:N carbon source for soil microorganisms.

SS+HVM

S+LVMS+NPK+L

S+LVM+NPKS

hoot

Bio

mas

s (

Results from the two incubation experiments confirmed that biochar VM exerts a strong influence on N mineralization and microbial respiration. The untreated soil showed an initial drop in soil NH4

+-N after two days from 39.4 to 31.7 mg kg-1 followed by a slow increase to 45.3 and 43.4 mg kg-1 after seven

g po

t-1)

0.0

0.1

0.2

0.3

0.4ab

a

bb

c

Figure 2. Treatment effects on above ground corn dry matter production in an infertile Leilehua soil amended with high and low VM biochar and fertilizer (S = soil, HVM = high VM biochar, LVM = low VM biochar).

Days

0 2 4 6 8 10 12 14 16

NH

4-N

(mg

kg-1

)

0

10

20

30

40

50

SoilSoil+HVMSoil+LVM

Figure 3. Biochar effects on soil NH4+-N in a 14 - day

incubation.

Western Nutrient Management Conference. 2009. Vol. 8. Salt Lake City, UT. Page 29

Page 334: Agricultural Applications for Pine-Based BioChar

and fourteen days respectively (Fig. 3). The soil amended with high VM biochar, however, showed a dramatic decline in soil NH4

+-N that persisted throughout the fourteen day incubation. The low VM biochar had a much smaller effect on soil NH4

+-N decreasing it to around 30 mg kg-1. In the CO2 respiration study, the high VM biochar amendment caused a steep increase in respiration reaching a peak at four days followed by a gradual decline through the 12th day (Fig. 4). At day 2 and day 6 the high VM biochar treatment showed a respiration rate threefold higher than the control, which remained at least twice as high as the control throughout the remainder of the incubation period. The low VM treatment showed an initial spike in respiration at day 2 followed by a rapid decline matching the control values by the eighth day. The relatively high CO2 respiration rate combined with the dramatic decline in soil NH4

+-N concentration observed in the high VM biochar treatment is strong evidence that N immobilization by the microbial biomass was an important factor explaining the observed decline in plant growth and N uptake in the high VM biochar treatments. The high water extractable C content of the high VM biochar (265 mg C kg-

1) compared with the low VM biochar (53 mg kg-1) provided a labile source of C fueling the observed stimulation of microbial activity in the high VM treatment. With the high C:N ratio of the biochar, the microbial biomass was forced to scavenge soil N inducing N deficiency in the growing plants.

Days

0 2 4 6 8 10 12

Res

pira

tion

(mg

CO

2 kg-1

48h

r-1)

0

100

200

300

400

SoilSoil+HVMSoil+LVM

Figure 4. Biochar effects on CO2 respiration in a 12-day incubation.

SUMMARY

This research shows that biochar VM content, or the degree of carbonization, can play a critical role in determining its agronomic value as a soil amendment. Our results provide clear evidence that biochars that are high in VM content (i.e., a typical barbecue charcoal) would not be good soil amendments because they can stimulate microbial activity and immobilize plant available N in the short-term. On the other hand, more fully carbonized biochars with lower VM content containing a smaller labile C component have a smaller effect on soil microbial activity and N immobilization. While our research provides one explanation for why some biochars have a negative effect on plant growth, it still remains unclear why low VM biochars in combination with fertilizer appear to have a beneficial effect on plant growth. Despite our findings elucidating the role of VM content in inhibiting N mineralization, research at the field scale is required to truly assess the agronomic value of biochars as soil amendments. REFERENCES Alef, K. 1995. Soil Respiration, p. 214-216, In K. Alef and P. Nannipieri, eds. Methods in

applied soil microbiology and biochemistry. Academic Press, London.

Western Nutrient Management Conference. 2009. Vol. 8. Salt Lake City, UT. Page 30

Page 335: Agricultural Applications for Pine-Based BioChar

Western Nutrient Management Conference. 2009. Vol. 8. Salt Lake City, UT. Page 31

Antal, M.J., K. Mochidzuki, and L.S. Paredes. 2003. Flash carbonization of biomass. Industrial & Engineering Chemistry Research 42:3690-3699.

Chan, K.Y., L. Van Zwieten, I. Meszaros, A. Downie, and S. Joseph. 2007. Agronomic values of greenwaste biochar as a soil amendment. Australian Journal of Soil Research 45:629-634.

Glaser, B. 2007. Prehistorically modified soils of central Amazonia: a model for sustainable agriculture in the twenty-first century. Philosophical Transactions of the Royal Society B-Biological Sciences 362:187-196.

Glaser, B., E. Balashov, L. Haumaier, G. Guggenberger, and W. Zech. 2000. Black carbon in density fractions of anthropogenic soils of the Brazilian Amazon region. Organic Geochemistry 31:669-678.

Glaser, B., J. Lehmann, and W. Zech. 2002. Ameliorating physical and chemical properties of highly weathered soils in the tropics with charcoal - a review. Biology and Fertility of Soils 35:219-230.

Gundale, M.J., and T.H. DeLuca. 2007. Charcoal effects on soil solution chemistry and growth of Koeleria macrantha in the ponderosa pine/Douglas-fir ecosystem. Biology and Fertility of Soils 43:303-311.

Hue, N.V., R. Uchida, and M.C. Ho. 2000. Sampling and analysis of soils and plant tissues. pp. 23-30, In J. A. S. a. R. S. Uchida, ed. Plant Nutrient Management in Hawaii Soils. College of Tropical Agriculture and Human Resources, University of Hawaii, Honolulu.

Lehmann, J., J.P. da Silva, C. Steiner, T. Nehls, W. Zech, and B. Glaser. 2003. Nutrient availability and leaching in an archaeological Anthrosol and a Ferralsol of the Central Amazon basin: fertilizer, manure and charcoal amendments. Plant and Soil 249:343-357.

Sombroek, W.G., F.O. Nachtergaele, and A. Hebel. 1993. Amounts, dynamics and sequestering of carbon in tropical and subtropical soils. Ambio 22:417-426.

Steiner, C., W. Teixeira, J. Lehmann, T. Nehls, J. de Macêdo, W. Blum, and W. Zech. 2007. Long term effects of manure, charcoal and mineral fertilization on crop production and fertility on a highly weathered Central Amazonian upland soil. Plant and Soil 291:275-290.

ACKNOWLEDGEMENTS

We thank Dr. Michael Antal for providing biochar samples along with proximate analysis data and Yudai Tsumiyoshi and Jocelyn Liu for assistance with laboratory analysis. Funding for this research came in part from USDA HATCH project 863H.

Page 336: Agricultural Applications for Pine-Based BioChar

Copyright @ 2009 by Lippincott Williams & Wilkins. Unauthorized reproduction of this article is prohibited.

Impact of Biochar Amendment on Fertility of a SoutheasternCoastal Plain Soil

Jeffrey M. Novak,1 Warren J. Busscher,1 David L. Laird,2 Mohamed Ahmedna,3

Don W. Watts,1 and Mohamed A. S. Niandou3

Abstract: Agricultural soils in the southeastern U.S. Coastal Plainregion have meager soil fertility characteristics because of their sandytextures, acidic pH values, kaolinitic clays, low cation exchange capaci-ties, and diminutive soil organic carbon contents. We hypothesized thatbiochar additions will help ameliorate some of these fertility problems.The study objectives were to determine the impact of pecan shellYbasedbiochar additions on soil fertility characteristics and water leachatechemistry for a Norfolk loamy sand (fine-loamy, kaolinitic, thermic typicKandiudults). Soil columns containing 0, 0.5, 1.0, and 2.0% (wt/wt)biochar were incubated at 10% (wt/wt) moisture for 67 days. On days25 and 67, the columns were leached with 1.2 to 1.4 pore volumes ofdeionized H2O, and the leachate chemical composition determined. Ondays 0 and 67, soil samples were collected and analyzed for fertility. Thebiochar had a pH of 7.6, contained 834.2 and 3.41 g kgj1 of C and N,respectively, and was dominated by aromatic C (58%). After 67 days andtwo leaching events, biochar additions to the Norfolk soil increased soilpH, soil organic carbon, Ca, K, Mn, and P and decreased exchangeableacidity, S, and Zn. Biochar additions did not significantly increase soilcation exchange capacity. Leachates contained increasing electrical con-ductivity and K and Na concentrations, but decreasing levels of Ca,P, Mn, and Zn. These effects reflect the addition of elements and thehigher sorption capacity of biochar for selective nutrients (especially Ca,P, Zn, and Mn). Biochar additions to the Norfolk soil caused significantfertility improvements.

Key words: Biochar, coastal plain soil, fertility, GRACEnet, leachate

(Soil Sci 2009;174: 00Y00)

For more than 150 years, sandy soils of the southeastern U.S.Coastal Plain region have been cultivated for row crops,

particularly corn and cotton (Gray, 1933; Trimble, 1974). Mostof these agricultural soils are Ultisols (Buol, 1973; Gardner,1981) formed in fluvial and marine sediments (Daniels et al.,1999) deposited 0.5 to 5 million years before present duringthe Pliocene to early Pleistocene periods (Daniels et al., 1970;1978). The warm, humid climate and long time for pedogenesishave created distinct soil profile, mineralogical, and chemicalcharacteristics. Extensive clay eluviation has created shallow Ahorizons (0Y0.20 m thick); well-developed E horizons (0.2Y1 m

thick) that have sand, loamy sand, or sandy loam textures; andrelatively thick Bt horizons (1.0Y3.0 m thick) with sandy clay toclay textures (Daniels et al., 1970; Shaw et al., 2004). Intensiveleaching of bases has resulted in low soil pH values, extensiveclay mineral weathering, low cation exchange capacity (CEC)values (2Y8 cmolc kg

j1), and high levels of exchangeable Al(Gamble and Daniels, 1974; Daniels et al., 1978). These soilcharacteristics severely limit soil fertility and agricultural man-agement options.

For instance, sandy soils exhibit high N leaching after fer-tilizer or manure application (Trindale et al., 1997; Ritter et al.,1998; Zotarelli et al., 2007). Moreover, Ultisols in the CoastalPlain region have low soil organic carbon (SOC) contents in thesurface 0- to 15-cm depth (6.3Y9.2 g kgj1; Hunt et al., 1996;Novak et al., 2007a) because of rapid residue oxidation, which isfurther accelerated by inversion tillage for row crop production(Bauer et al., 2006). The physical and chemical problems dis-cussed above severely limit soil fertility and hence crop pro-ductivity on the Ultisols of the southeastern U.S. Coastal Plain.

Fertility problems associated with southeastern CoastalPlain Ultisols are similar to those of Oxisols in intertropicalregions (Eswaran and Tavernier, 1980), which also have low pH,SOC, and CEC values (Tiessen et al., 1994; Lehmann et al.,2003). Poor soil fertility raises concerns about the sustainabilityof agriculture in regions dominated by Oxisols and has spurredthe development of management practices to restore or im-prove their fertility status (Glaser et al., 2002). Applications ofmulches, composts, and manures increase soil fertility; however,under tropical conditions, the increase is short term because theadded organic matter is quickly oxidized and added bases arerapidly leached (Tiessen et al., 1994).

On the other hand, application of biochar (charcoal pro-duced by pyrolysis of biomass feedstock) to infertile Oxisols hasbeen shown to provide longer-lasting improvements in soil fer-tility (Glaser et al., 2002; Lehmann et al., 2003; Steiner et al.,2007). Biochar composed primarily of single and condensedring aromatic C (Lehmann, 2007) has both a high surface areaper unit mass and a high charge density. Because of theseproperties, biochar is both more recalcitrant in tropical soilsand contributes a higher capacity to sorb cations per unit massthan does biogenic soil organic matter (Sombroek et al., 2003;Liang et al., 2006).

Biochar application to soils is not a new concept (Mann,2005). For example, in the Amazon basin, anthropogenic darkearth soils (referred to as Terra Preta) contain large amounts ofcharred materials most likely added by pre-Columbian farmerswho practiced a form of slash and char agriculture (Sombroeket al., 2003) along with disposal of charcoal remains from hearths(Glaser et al., 2002). In these soils, the biochar acts as a soil con-ditioner, improving soil physical properties and nutrient use effi-ciency, thereby increasing plant growth. Today, 500 years aftercessation of the practices that created these soils, the Terra Pretasoils are highly valued for agricultural and horticultural use in theAmazon basin (Glaser et al., 2002; Lehmann and Rondon, 2006).

TECHNICAL ARTICLE

Soil Science & Volume 174, Number 2, February 2009 1

1USDA-ARSYCoastal Plain Soil, Water and Plant Research Center, Florence,SC. Dr. Novak is corresponding author. E-mail: [email protected] Soil Tilth Laboratory, Ames, IA.3Interdisciplinary Energy and Environment Program, North Carolina A&TUniversity, 171 Carver Hall, Greensboro, NC.Received August 19, 2008, and in revised form November 30, 2008.Accepted for publication December 2, 2008.Manuscript accepted for publication to Soil Science on: September 24, 2008.Mention of a specific product or vendor does not constitute a guarantee or

warranty of the product by the U.S. Department of Agriculture or implyits approval to the exclusion of other products that may be suitable.

Copyright * 2009 by Lippincott Williams & WilkinsISSN: 0038-075XDOI: 10.1097/SS.0b013e3181981d9a

Copyeditor: Maria Timothy Santiago

Page 337: Agricultural Applications for Pine-Based BioChar

Copyright @ 2009 by Lippincott Williams & Wilkins. Unauthorized reproduction of this article is prohibited.

To predict the reactivity as well as stability of biochar whenused as a soil amendment, it is important to know the biocharsorganic structural composition. Biochar from Terra Preta soilsanalyzed using solid-state nuclear magnetic resonance (NMR)analysis was shown to be composed of a highly heterogeneousmixture of organic structures (Novotny et al., 2007). The struc-tural form of C in biochar depends on the biogeochemistry of thebiomass feedstock and the conditions under which it was py-rolyzed (Kramer et al., 2004; Lehmann, 2007). Biochars com-posed primarily of condensed aromatic C are known to persist insoil environments for millennia, whereas biochars with higherlevels of single-ring aromatic and aliphatic C will mineralizemore rapidly (Lehmann, 2007; Novotny et al., 2007). Surfacearea and surface charge density of biochar will have a largeinfluence on soil CEC and the ability of biochar additions toameliorate soil fertility problems.

We hypothesize that biochar additions to the sandy, CoastalPlain soils of the southeastern United States would increasethe SOC content and CEC and improve the fertility status. Thespecific objectives of this investigation were to determine the 1)chemistry of biochar derived from pyrolysis of pecan shells, alocally abundant source of feedstock; 2) effects of biochar addi-tions on fertility characteristics of a Norfolk soil; and 3) effectsof biochar additions on the chemical composition of leachatecollected from a Norfolk soil.

MATERIALS AND METHODS

Production and Characterization of PecanShellYBased Biochar

Pecan shells were obtained from a supplier in Lumberton,NC. They were ground using a Retsch Mixer Mill (SR-2000;Cole-Palmer, Vernon Hills, IL) to pass through a 2-mm sieve.Per each pyrolysis batch, approximately 1000 to 2000 g of shellswere placed into a crucible (25 cm wide! 10 cm deep) and wereinserted into a Lindberg box programmable furnace equippedwith an airtight retort (model 5116HR; Lindberg, Watertown,WI). The furnace retort atmosphere was purged with N2 usinga flow rate of 0.1 m3 hj1. The furnace was controlled with amultiple-step pyrolysis temperature program. The furnace wasinitially heated to 40 -C; temperature was ramped to 170 -C at5 -C minj1 and was maintained at this temperature for 30 min.The temperature was then ramped to 700- C at 5 -C minj1,and the pecan shells were subjected to pyrolysis for 1 h. Thebiochar was cooled in the oven under the N2 atmosphere over-night. After cooling, the biochar was ground to pass through a0.25-mm sieve.

The sieved biochar moisture percent (wt/wt) content wasmeasured by oven drying a 2-g portion overnight at 80 -C.Biochar pH was measured according to Ahmedna et al. (1998).The method consisted of preparing a 1% (wt/wt) suspension ofbiochar in deionized water. The suspension was heated to about90 -C and stirred for 20 min to allow dissolution of the solublebiochar components. After cooling to room temperature, the pHof the biochar suspension was measured using a Corning pHmeter (Acton, MA). The biochar percent ash content (wt/wt) wasdetermined by dry combustion at 760 -C in air for 6 h using anIsotemp laboratory muffle furnace (Fisher ScientificAQ1 ). Biocharpercent moisture was 1.4%, pH was 7.5, and ash content was3.8% (wt/wt).

A sample of the biochar was analyzed for total C, H, N, S,and O (by difference) determination using ASTM D 3176method (ASTM, 2006). For total elemental analyses, the biocharwas redried and then digested using the EPA method 3052microwave-assisted acid digestion method (USEPA, 2008). The

elemental concentrations (Ca, Cr, Cu, Fe, K, Mg, Mn, Na, Ni, P,Si, and Zn expressed on a dry, wt/wt, ash-free basis) in thebiochar digests were measured using an Elan DRC-II (Perkin-Elmer, Shelton, CT) inductively coupled plasma mass spec-trometer. Analytical operating conditions and element detectionlimits are available at EBG-SWES-UA (2008).

Solid-state cross-polarization magic angle-spinning total-sideband suppression 13C NMR spectral pattern of the biocharwas obtained using a Bruker DSX-300 spectrometer (Karlsruhe,Germany) operated at a 13C frequency of 75.5 MHz. Additionaltechnical parameters to acquire the spectra have been describedby Wang et al. (2007). The chemical shift region assignmentswere as follows: 0 to 50 ppm, aliphatic C; 50 to 109 ppm,O-alkyl C; 109 to 163 ppm, aromatic C; and 163 to 190 ppm,carboxylic C. The percent C distribution was determined byestimating the area in these chemical shift regions as a per-centage of the total area under the spectral curve.

Norfolk Soil Collection and AnalysesA bulk sample of a Norfolk soil from the Ap horizon

(0Y15 cm deep) was collected from a field contiguous to theUSDA-ARSYCoastal Plain Research Center, Florence, SC. Thefield is nearly level (1Y2% slopes) and has a 30-year history ofrow crop production (Sojka et al., 1984). The soil was collectedusing a shovel in mid-April, approximately 1 week after fertili-zation with 49 kg N haj1 of 28-0-0 UAN (urea + NH4NO3) foran upcoming corn crop. The soil was air dried and 2-mm sieved.The Ap horizon is a loamy sand with a particle size distributionof 730, 250, and 20 g kgj1, respectively, of sand, silt, and clay(sedimentation method; Soil Characterization Lab, Ohio StateUniversity, Columbus, OH). X-ray diffraction analysis of theclay fraction revealed a preponderance of kaolinite, with minoramounts of hydroxy (Fe and Al) interlayered chlorite (X-raydiffraction method; Soil Characterization Lab, Ohio State Uni-versity). The pH of the untreated Norfolk Ap soil was 4.8, asmeasured in a 1:1 soil-to-deionized water mixture (Novak et al.,2007a). The total C and total combustible nitrogen (TCN)contents were determined using a LECO TruSpec CN analyzer(LECO Corp., St Joseph, MI). Soil C was assumed to be organicin nature because the low soil pH precluded carbonates.

Biochar Incubation in Norfolk Ap SoilThe biochar incubation experiment was conducted in open-

top, 10-cm-diameter, 17-cm-tall schedule-40 PVC columns.Column bottoms were sealed using a nylon mesh fabric tosupport the soil bed and minimize soil loss. Sufficient amountsof 0.25-mm sieved biochar was mixed into 750-g of air-dried,2-mm-sieved Ap horizon soil to create 0, 0.5, 1.0, and 2.0%(wt/wt) biochar treatments. These biochar rates equated to fieldapplications of approximately 0, 10, 20, and 40 metric tons haj1.Each treatment was set up in triplicate. Deionized H2O wasthen mixed into each treatment to obtain a soil-moisture contentof 10% (wt/wt), representing the upper range (between 5 and10%) of field capacity for a typical Norfolk Ap soil horizon. Themoist soil treatments were then placed into columns, and theywere tamped down by hand to obtain a bulk density of 1.2 g cm3.This created a headspace above the soil of 8 to 10 cm for addingwater. The columns were laboratory incubated for 67 days at 10%soil moisture. The laboratory room temperature and percentrelative humidity, respectively, throughout the incubation rangedbetween 17 and 27 -C and 23 and 61%.

On days 25 and 67, each column was leached with 1.2 to 1.4pore volumes of deionized water; the leachate was collected andweighed. The leachates were analyzed for total organic carbon(TOC) concentrations using a Shimadzu TOC-Vcs (Shimadzu

Novak et al Soil Science & Volume 174, Number 2, February 2009

2 * 2009 Lippincott Williams & Wilkins

Page 338: Agricultural Applications for Pine-Based BioChar

Copyright @ 2009 by Lippincott Williams & Wilkins. Unauthorized reproduction of this article is prohibited.

Corp., Columbia, MD), and for Ca, Cu, Fe, K, Mg, Mn, Na, P, S,and Zn concentrations with a Varian ICP-OES (Varian Inc., PaloAlto, CA). The ICP detection limit for this suite of 11 elementswas a conservative 0.05 mg Lj1. The leachate pH and electricalconductivity (EC) were measured using a standard pH and aconductivity meter.

Samples of the biochar-treated Norfolk Ap soil were col-lected on incubation days 0 and 67 for analysis of plant availablenutrients using Mehlich 1 (diluted HCl and H2SO4) extractant.Measurements of Mehlich 1Yextractable Ca, Cu, Fe, K, Mg,Mn, Na, P, S, and Zn and exchangeable acidity values wereconducted by the Clemson University Soil Testing Laboratoryusing ICP. The pH and EC of the biochar-treated Norfolk Apsoil were measured using the methods of Novak et al. (2007a).

StatisticsThe mean values of SOC and TCN contents between the

treatments, sorted by incubation day, were tested using a one-way analysis of variance (ANOVA) with a P G 0.05 level ofsignificance. The soil fertility characteristics and chemical com-position of the deionized water leachates were sorted and testedin a similar manner. All statistical tests were performed usingSigmaStat v. 3.5 software (SSPS Corp., Chicago, IL).

RESULTS AND DISCUSSION

Biochar and Soil Compositional AnalysesThe 13C NMR spectral pattern of the pecan biochar (F1 Fig. 1)

revealed two prominent peaks at 120 and 187 ppm and ashoulder near 90 ppm. These peaks indicate that most of thisbiochar is distributed in aromatic structures (58%), with lessamounts of C having single bonds to O (29%) and in carboxyl(13%) groups. The lack of a distinct peak near 75 ppm suggestslittle carbohydrate C; rather, the shoulder near 90 ppm is morecharacteristic of acetal C (Wershaw, 1985). The pecan shellsused as feedstock for preparation of the biochar are composedprimarily of lignin and cellulose (47%, acid-detergent lignin;Ramirez et al., 1986). Charring of lignin and cellulose at tem-peratures of 500 -C was reported to cause loss of their aliphaticcomponents along with a conversion of ring structures intoaromatic compounds (Rutherford et al., 2004). During pyrolysisat 700 -C in this study, it was suspected that a similar decom-position of cellulose and lignin and structural rearrangement ofring compounds to form condensed and single-ring aromatic

structures of the biochar. This speculation has merit becausethe high pyrolysis temperature explains the lack of alkyl C(0Y50 ppm) as volatile material such as oils, fatty acids, andalkyl alcohols would be lost (Antal and GrLnli, 2003). Carboxyl-containing structures were present in the NMR spectra possiblybecause of their structural decomposition resistance duringpyrolysis. Alternatively, their presence could be due to watersorption during handling and grinding. The biochar percentmoisture after grinding and before total elemental analyses wasless than 2% and 4%, respectively. Consequently, single-ringaromatic and some heterocyclic compounds could have beenreoxidized, forming carboxylic and acetyl OH groups as evident

FIGURE 1. 13C NMR spectral pattern for pecan shellYbased biochar (%C distribution for structural groups determined as described byWang et al. (2007).

TABLE 1. Total elemental analyses of pecan shellYbasedbiochar and Norfolk Ap soil† (data sorted into macroelement,microelement pools)

Biochar Norfolk Ap soil

Macroelement (g kgj1)Al 0.22 5.1C 834.2 16.8Ca 3.64 0.49Fe 0.07 2.91H 10.3 VK 4.15 0.38N 3.41 1.26O 19.8 VSi 104.9 424.8

Microelements (mg kgj1)Cu 14 4.6Cr 0.31 23Mg 698 445Mn 78 55Na 218 951Ni 0.5 2P 263 185S 95 2Zn 7 43†Determined on biochar and soil using EPA 3052method (HNO3 +HF).

Soil Science & Volume 174, Number 2, February 2009 Biochar in Coastal Plain Soil

* 2009 Lippincott Williams & Wilkins 3

Page 339: Agricultural Applications for Pine-Based BioChar

Copyright @ 2009 by Lippincott Williams & Wilkins. Unauthorized reproduction of this article is prohibited.

in the 13C NMR spectra (Fig. 1). The NMR spectra indicate thatthis pecan shellYbased biochar is composed of a mixture oforganic structural groups reflecting the chemistry of the feed-stock and reactions occurring during both pyrolysis and afterpyrolysis on exposure of the biochar to oxygen and water. Thesefindings are similar to reports for black C isolated from darkearth soils (Schmidt and Noack, 2000; Novotny et al., 2007).

The total elemental analyses of the pecan shell biochar andthe Norfolk Ap soil were quite dissimilar (T1 Table 1). The biocharwas enriched in C, Ca, K, Mg, N, and Si compared with soil,whereas the Norfolk Ap soil was enriched in Al, Fe, Na, and Si.Pyrolysis of organic feedstock’s from 400 to 700 -C results in aconcentration of C but a reduction of O and H due to evaporationof sorbed H2O and driving off of jOH functional groups (Antaland GrLnli, 2003). The N-containing structures in the biochar,such as amino acids, amines, and amino sugars during the high-temperature pyrolysis (700 -C) process were probably condensedto form N-heterocyclic aromatic structures (Koutcheiko et al.,2007). Thus, much of the residual N in the biochar (Table 1) waslikely present as recalcitrant heterocyclic N rather than the morebioavailable amine N.

The elemental composition (C, H, O, N, and S) of biocharwas similar to values reported for other carbonized charcoals(Antal and GrLnli, 2003). The Norfolk Ap soil elemental com-position was Al-, Fe-, and Si-enriched; these elements are pre-dominant in the chemical structure of aluminosilicates in the

sand-size fraction (Smith et al., 1976), and Fe-oxides and hy-droxides in the clay-size fraction (Shaw et al., 2004).

Changes in Soil Organic Carbon Content andFertility Characteristics

The Norfolk Ap soil treatments with 1 and 2% biocharaddition on day 0 had significantly greater mean SOC contentsthan the control ( T2Table 2); mean SOC content was increasedbetween 5.1 and 14.2 g kgj1. Similar SOC concentrations werepresent in the soil after 67 days of incubation, indicating nosignificant loss of biochar C during the incubation. The biocharcontained some N (3.41 mg kgj1; Table 1); however, mixing0.5 to 1.0% biochar had no detectable effect on TCN of theNorfolk Ap horizon. Adding 2% biochar significantly increasedthe soil mean TCN content, but only by 0.23 g kgj1. This trendwas not observed after 67 days of incubation. Mean TCNcontents in treatments after 67 days of incubation (except 1.0%biochar) were similar to the control (0% biochar).

The C:N ratio of the pecan biochar is 244:1. Nitrogen im-mobilization typically occurs when organic residues possessinga C:N ratio of greater than 32:1 are added to soils (Alexander,1977; Thompson and Troeh, 1978). The wide C:N ratio, inassociation with its aromaticity, will cause slow biochar de-composition (Lehmann, 2007). Although biochars/soil blackcarbon will undergo slow chemical and microbial decomposi-tion (Schmidt and Noack, 2000), the rate of decomposition is soslow that even large additions of biochar to soil will probably notsignificantly immobilize N.

The high stability of biochar in soil environments is bene-ficial with respect to C sequestration because C added to the soilas biochar will be removed from the atmosphere for 1000 yearsor more. German (2003) reported that biochar in soils is stableand resistant to microbial attack; one site in the AmazonianBlack Earth region had biochar dated to 6850 years old. In com-parison, the mean residence time of soil organic matter has beenestimated as between 250 and 3280 years (Stevenson, 1994). Inhind sight, we suggest that the SOC dated in those presented inStevenson (1994) likely contained significant amounts of blackC,whichwouldmake the average age of the total SOC pool mucholder than the age of the biogenic SOC fraction. Laird et al.(2008) physically separated biogenic humic material from blackC from an Iowa Mollisol and reported modern radio C dates for

TABLE 2. SOC and TCN contents of Norfolk Ap soil andsoil + percent biochar mixtures on 0- and 67-day incubations

Norfolk Apsoil + % biochar

SOC (g kgj1)† TCN (g kgj1)

0 d 67 d 0 d 67 d

0 17.0a 17.4a 1.26a 1.24a

0.5 18.1a 18.3a 1.14a 1.28a

1.0 22.2b 21.9b 1.25a 1.09b

2.0 31.2c 29.2c 1.49b 1.21a

†Means compared within a column followed by a different letter aresignificantly different at P G 0.05 using a one-way ANOVA (multiplecomparisons vs. Norfolk Ap soil + 0% biochar as a control).

TABLE 3. Fertility characteristics of Norfolk Ap soil + percent biochar mixtures on 0- and 67-day incubations(Mehlich 1 extractant)†

Norfolk Apsoil + % biochar

Fertility characteristics‡

Incubation pH§ CEC Exch. acid Ca Cu K Mg Mn Na P S Zn

day - - - - - -cmolc kgj1- - - - - - - - - - - - - - - - - - - - - - - - - - - - - mg kgj1- - - - - - - - - - - - - - - - - - - - - -

0 0 4.8a 5.7a 2.4a 437a 0.6a 35a 117a 12a 5a 30.5a 8.67a 13a

0.5 0 5.1b 5.3a 2.0a 470b 0.7a 49b 98b 7b 5a 30.8a 7.67a 12a

1.0 0 5.5c 5.4a 1.9a 516c 0.7a 66c 90c 15c 6a 31.2a 7.83a 11a

2.0 0 6.3d 5.9a 1.2b 720d 0.8a 111d 91d 10d 7b 35.2b 8.50a 11a

0 67 5.2a 5.2a 2.4a 392a 0.6a 26a 93a 7a 3a 28.7a 6.33a 12a

0.5 67 5.6b 5.4a 2.1a 462b 0.7a 47b 91a 6a 5b 31.7b 5.16a 11b

1.0 67 5.9c 5.6a 2.0a 537c 0.7a 49c 92a 16b 4a 31.7c 4.00b 11b

2.0 67 6.4d 5.9a 1.5b 692d 0.8a 69d 89a 10c 4a 33.3d 3.17c 10c

†Extracted with H2SO4 + HCl.‡Mean values sorted by incubation day were compared using a one-way ANOVA for multiple-comparisons tests vs. a control (Norfolk Ap soil +

0% biochar).§Means followed by a different letter are significantly different at P G 0.05.

Novak et al Soil Science & Volume 174, Number 2, February 2009

4 * 2009 Lippincott Williams & Wilkins

Page 340: Agricultural Applications for Pine-Based BioChar

Copyright @ 2009 by Lippincott Williams & Wilkins. Unauthorized reproduction of this article is prohibited.

the biogenic humic material and much older dates for the blackC fraction. Therefore, soil applied biochar has the potential toincrease the recalcitrant pool of soil C and will persist in soilenvironments much longer than C added in the form of residuesor biogenic soil organic matter.

Biochar additions to soils are reported to improve soil fer-tility by raising soil CEC (Liang et al., 2006). Soil CEC increasesare due to carboxylate groups on the surfaces of the biochar itselfand to exposed carboxylate groups of organic acids sorbed by thebiochar, both of which contribute negative surface charge tobiochar particles (Liang et al., 2006). Biochar in this experimentcontained some carboxyl characteristics (13%; Fig. 1); yet, theability of biochar additions to increase the soil CEC even at 2%biochar addition was negligible (T3 Table 3). One might expect aftera 67-day incubation that additional carboxylate groups wouldform because of oxidation of the biochar surfaces (Schmidt andNoack, 2000). However, differences in Norfolk Ap CEC valuesfor the day-0 and day-67 samples were negligible (Table 3).

The high pyrolysis temperature (700 -C) may have con-tributed to the relatively low level of surface oxidation of thepecan shell biochar and hence the lack of a significant impact ofbiochar additions on the CEC of the Norfolk Ap horizon soil.Higher pyrolysis temperatures generally cause greater conden-sation of aromatic structures and even the formation of graphiticcores (Antal and GrLnli, 2003). Such highly condensed aromaticC has less surface area and fewer oxidizable surface functionalgroups than more open (less condensed) aromatic C structures.High-temperature biochars are also more resistant to chemicaloxidation and microbial degradation and hence have a longerhalf-life in soil environments than soil organic matter. The re-calcitrant characteristics of high-temperature biochar, however,would be a desirable property if the primary goal was to removeatmospheric CO2 and sequester C in soil for millennia (Laird,2008). On the other hand, if the primary goal was to increase soilCEC values, then the addition of biochar prepared by pyrolysisof feedstocks at lower temperatures (400Y500 -C) or underdifferent moisture and pressures conditions (Antal and GrLnli,2003) may be more desirable. Low-temperature biochars willmost likely also increase soil C sequestration, but they will prob-ably more rapidly change soil fertility characteristics when com-pared with using high-temperature biochars.

Some microbial oxidizable compounds such as anhydrocel-lulose (dehydrated forms of cellulose), polysaccharides, alcohols,and so on, should exist in biochars prepared by pyrolysis offeedstocks at lower temperatures (Antal and GrLnli, 2003).Baldock and Smernik (2002) and Hamer et al. (2004) bothreported a relationship between biochar pyrolysis temperatureand resistance to soil microbial decomposition. Hamer et al.(2004) found that biochars produced from maize and rye at350 -C were more prone to soil microbial degradation thanbiochar made from oak wood pyrolyzed at 800 -C. The authorsattributed differences in biochar decomposition because of theirC:N ratios; higher pyrolysis temperatures caused wider C:Nratios in the oak wood biochar because of loss of N and con-centration of C (Hamer et al., 2004).

Upon decomposition and oxidation by soil microbial com-munities, these organic carbon structures should produce by-products containing a higher density of carboxylate and otherO-containing functional groups (i.e., jOH, jOR, etc.) capable ofserving as sites for cation exchange (Stevenson, 1994). Therefore,when creating biochars for use as a soil fertility amendment, thebiomass pyrolysis conditions could be designed to carbonize thematerial under moist conditions and at lower temperatures.

Research has shown that soil pH is more influenced bymonomeric Al species on exchange sites than by H+1 (Sparks,

1995). Aqueous monomeric hexahydronium [Al(H2O)6]+3 spe-

cies act as pH buffers because they can undergo rapid andreversible hydrolysis reactions influencing solution pH valuesby liberating or accepting H+1 (Sparks, 1995). For soil pH tochange, the biochar itself or a cation in the biochar must reactwith the soluble monomeric Al species or displace it from ex-change surfaces on clays or soil organic matter. At pH 4.8, theNorfolk soil with no biochar had 42% (2.4 cmolc exchangeableacidity kgj1 " 5.7 cmolc CEC kgj1 ! 100; Table 3) of the totalsoil CEC sites occupied by [Al(H2O)5]

+2. This would be thedominant monomeric Al species in the Norfolk Ap soil + 0%biochar at pH 4.8 (Sparks, 1995). Additions of 0.5 and 1%biochar to the Norfolk soil did not significantly modify the ex-changeable acidity values, although soil pH values significantlyincreased by 0.7 U (Table 3). With the addition of 2% biochar,the pH increased from 4.8 to 6.3, and exchangeable acidity wasreduced by 50% ($1.2 cmolc kg

j1; Table 3). Thus, biochar wasan effective liming agent, neutralizing solution pH and reducingexchangeable acidity values. However, substantial additions ofbiochar (2% or 40 metric tons haj1) were required to obtain in-creases in pH and reductions in exchangeable acidity.

During pyrolysis, cations (primarily K, Ca, Si, andMg) pre-sent in the pecan shells formed metal oxides (e.g., ash) that wereadmixed with the biochar. Once in the soil environment, theseoxides can react with H+1 and monomeric Al species, modifyingsoil pH and exchangeable acidity values. Because the biocharcontained a high Ca concentration (3.64 mg kgj1; Table 1),Reaction (1) involving CaO exemplifies the liming ability of theash associated with the biochar:

2Al# soil $ 3CaO$ 3H2OY 3Ca # soil $ 2A1%OH&3 %1&

During this reaction, Ca replaces the monomeric Al specieson soil mineral or soil organic matter CEC sites. Accompanyingthis reaction is an increase in soil solution pH caused by thedepletion of the readily hydrolysable monomeric Al and the for-mation of the more neutral [Al(OH)3]

0 species (Sparks, 1995).This general reaction explains the decline in exchangeableacidity for the Norfolk Ap soil and the increase in solution pHand Ca on CEC sites (Table 3). The pH increase and exchange-able acidity decrease were similar for the day-0 and day-67samples. This suggests that the liming effect of biochar occurredrapidly and was sustainable on equilibration.

The biochar significantly increased some important plantmacronutrients. Mehlich 1Yextractable Ca, K, and P all increasedwith the level of biochar additions (Table 3). However, the Pincrease was significant only at the highest level of biochar ad-dition. By contrast, Mehlich 1Yextractable Mg decreased withincreasing biochar addition at day 0, suggesting that the Mg wasstrongly retained by the biochar. Extractable S and Zn concen-trations also decreased slightly with increasing biochar additions,but the trend was significant only for the day-67 samples. Copperconcentrations were not significantly affected by biochar addi-tions, and Mn concentrations were variable. The observed varia-tions in Mehlich 1Yextractable plant nutrient concentrations, atdays 0 and 67, reflected the combined effects of fertilization(nutrients added with the biochar), leaching of nutrients, andnutrient adsorption by the soil and added biochar. No plants weregrown in these soils, and hence, plant uptakewas not a variable inthis study. In general, biochar additions increased the levels ofplant macronutrients and had little effect on micronutrients.

Chemical Composition of the Water LeachatesIt is important to examine the chemical composition of a

deionized water extract of an amended soil; in some cases, theamendment can release elements that may cause plant growth

Soil Science & Volume 174, Number 2, February 2009 Biochar in Coastal Plain Soil

* 2009 Lippincott Williams & Wilkins 5

Page 341: Agricultural Applications for Pine-Based BioChar

Copyright @ 2009 by Lippincott Williams & Wilkins. Unauthorized reproduction of this article is prohibited.

issues (Novak et al., 2007b). For the 25- and 67-day leachates, pH,EC values, and TOC concentrations (except 0.5% on day 25) weresimilar for the biochar-treated soils and control soils (T4 Table 4).

The cation concentrations in the 25- and 67-day leachatesseem to be influenced by cation valency. For instance, themonovalent cation (K and Na) concentrations in both the 25- and67-day leachates increase with the level of biochar addition tothe Norfolk Ap soil, whereas concentrations of multivalentcations (Ca, Mg, Mn, and Zn) all decreased for the day-27leachates and either decreased or were not significantly differentfor the day-67 leachates with increasing levels of biochar ad-dition. The strength of cation retention or repulsion from nega-tively charged surfaces increases with increasing ion charge andwith distance between the charged surface and either the sourceof charge or the soluble ion (basis of diffuse double layer theory;Bohn et al., 1979). Consequently, multivalent cations were pref-erentially adsorbed over monovalent cations on exchange sites,and hence, the monovalent K and Na cations would be moreavailable for movement with the leachate.

The decrease in concentration of multivalent cations in theleachates with increasing levels of biochar addition (Table 4)is particularity interesting in light of the fact that substantialamounts of Ca and Mg and less amounts of Mn and Zn werepresent in the biochar (Table 1). Much of the Ca added withthe biochar probably replaced monomeric Al species on claysand/or soil organic matter exchange sites [see Reaction (1)].This hypothesis is supported by increasing levels of Mehlich1Yextractable Ca with higher levels of biochar addition (Table 3).An explanation for the decrease in Mg, Mn, and Zn concentra-tions in day-27 leachates is a bit more complex, because theirMehlich 1Yextractable concentrations of these elements eitherdecreased or did not show substantial changes with increasingbiochar additions. These observations suggest that the Mg, Mn,and Zn were either specifically adsorbed or very highly selec-tively adsorbed by exchange sites associated with the biochar.

The P concentrations generally decreased with increasingbiochar application in both 25- and 67-day leachates by approxi-mately 40% (0 vs. 2% biochar addition; Table 4). The field fromwhich the Norfolk soil was collected has a long history of rowcrop production; past P fertilizer applications were the likelysource of much P in the soil. The declines in leachate P concen-trations with increasing biochar additions are probably due to a

combination of reactions such as retention of o-PO4j3 through

ligand exchange reactions involving O-containing functionalgroups on the biochar surface, adsorption of o-PO4

j3 by Fe andAl oxides and hydroxides, and by adsorption and precipitation byCa, Mg-phosphates (Bohn et al., 1979). Regardless of sorptionmechanisms, these results suggest that biochar has the potentialto ameliorate P leaching in soils with sandy textures, a commonproblem in fields containing excess soil P concentrations as aresult of overapplication of swine manure (Novak et al., 2000).

Net Norfolk Ap Soil Fertility ChangesThe net soil fertility change to the biochar-treated Norfolk

Ap soil is presented in T5Table 5. The results after adding 2%biochar were presented because this treatment caused the mostsignificant soil fertility variations compared with the untreatedsoil. The treated Norfolk Ap soil pH was more basic after

TABLE 4. Chemical composition of deionized water leachates from Norfolk Ap soil + percent biochar mixtures after 25- and67-day incubation†

Norfolk Apsoil + % biochar

Leachate chemical composition‡

Incubation pH§ EC TOC Ca Cu K Mg Mn Na P S Zn

day KS cmj1 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -mg Lj1 - - - - - - - - - - - - - - - - - - - - - - - - -

0 25 5.7a 364a 76a 189a V 32a 113a 5.4a 8.2a 2.0a 25a 1.3a

0.5 25 6.0a 382a 65b 175a V 58b 82b 1.1b 11.0b 1.4b 22a 0.7a

1.0 25 6.0a 439a 70a 136b V 72c 63c 0.3c 11.9c 1.5c 23a 0.4a

2.0 25 6.0a 559a 82a 99c V 99d 34d 0.2d 14.0d 1.2d 26a 0.1b

0 67 5.8a 364a 45a 31a V 9a 18.6a 0.1 2.80a 2.20a 9.5a 0.27a

0.5 67 5.9a 387a 38a 32a V 17a 17.1a V 3.02a 1.26b 8.9a 0.12b

1.0 67 5.7a 502a 48a 37a V 25b 17.1a 0.1 4.02a 1.40c 10a 0.13c

2.0 67 6.0a 571a 68a 46a V 52c 15.9a V 5.90b 1.42d 11a 0.06d

†A dash line indicates mean value was below detection limit (0.05 mg Lj1).‡Mean values sorted by incubation day were compared using a one-way ANOVA for multiple comparisons vs. a control (Norfolk Ap soil +

0% biochar, significant digits varied because of low mean element concentrations on day 67).§Means followed by a different letter are significantly different at P G 0.05.

TABLE 5. Changes in Norfolk Ap soil fertility characteristicswith and without 2% biochar (after 67-day incubation andtwo deionized water leaching events)

Characteristic Unit0%

Biochar2%

BiocharNet

changeRelative

%†

pH V 4.8 6.4 +1.6 +33CEC cmolc kg

j1 5.7 5.9 +0.2 +3.5Exchangeacidity

cmolc kgj1 2.4 1.5 j0.9 +38

C g kgj1 17.4 29.2 +11.8 +68Ca mg kgj1 437 692 +255 +58Cu mg kgj1 0.6 0.8 +0.2 +33K mg kgj1 35 69 +37 +106Mg mg kgj1 117 89 j28 j24Mn mg kgj1 12 10 j2 j17N g kgj1 1.24 1.21 j0.03 j2.4Na mg kgj1 5 4 j1 j20P mg kgj1 31 34 +3 +10S mg kgj1 9 4 j5 j56Zn mg kgj1 13 10 j3 j23

†Percent change based on values in Norfolk Ap soil + 0% biochar.

Novak et al Soil Science & Volume 174, Number 2, February 2009

6 * 2009 Lippincott Williams & Wilkins

Page 342: Agricultural Applications for Pine-Based BioChar

Copyright @ 2009 by Lippincott Williams & Wilkins. Unauthorized reproduction of this article is prohibited.

biochar addition through a 38% reduction in monomeric Alspecies on exchange sites (lower exchangeable acidity values).Soil Ca and K concentrations had marked increases (+58 and +106%, respectively) implying that biochar additions can increasethese important plant macronutrients.

The Norfolk Ap horizon had an 11.8 g C kgj1 increaseafter mixing in 2% biochar, and there was no detectable loss ofSOC during the 67-day incubation, suggesting that biochar ad-ditions may be an effective means of sequestering C; longer-termstudies need to be quantified in terms of C sequestration. Twopercent biochar application to field soil is approximately 40 tonsbiochar haj1. This is a large amount of biochar to apply to soil,but the benefits of long-term C sequestration coupled with ad-ditions of several plant nutrients, neutralizing soil acidity, andreduced nutrient leaching should not be overlooked. Althoughwe observed decreased leaching of several plant nutrients withincreasing biochar additions, we did not observe significantincreases in CEC or EC for the Norfolk Ap soil. The influence ofbiochar additions on Mehlich 1Yextractable micronutrient con-centrations was minimal.

CONCLUSIONSBiochar has been used as a fertility amendment in soils of

tropical regions for thousands of years, although scientific in-vestigations of the effects on soil fertility are few. This sametechnology may improve fertility-poor soils in the southeasternU.S. Coastal Plain region. A laboratory study was conductedwhere a pecan shellYbased biochar was incubated in a sandy,acidic Norfolk Ap soil. Biochar additions increased the SOCcontent but did not significantly improve the soil N status.Biochar additions seem to potentially be an effective means ofsequestering C in soils as no detectable loss of SOC occurredduring the 67-day incubation. A goal of this study was to in-crease the Norfolk Ap soil CEC by adding biochar. For soilCEC to increase, surfaces of the biochar must be oxidized toproduce negatively charged carboxylate groups. No increase insoil CEC after 67 days was obtained, implying that this high-temperature biochar was not suited for that purpose within thetime frame of this study. Soil pH and three major plant nutrients(Ca, K, and P) concentrations, however, increased after applyingthis biochar. Most soil micronutrient concentrations were notinfluenced by the biochar additions. Water leaching of biochar-treated Norfolk Ap soil showed K enrichment but net sorption ofP and most multivalent cations.

This biochar was highly recalcitrant because the pecanshells were pyrolyzed at a high temperature forming primarilycondensed aromatic C structures. On one hand, the recalcitrantnature of biochar may be important if the key goal is to sequesterC in the highly stable SOC pool. On the other hand, if the goalsare to improve soil fertility and also increase C sequestration,then a biochar having more readily oxidizable structural groupsand a low C:N ratio may be more appropriate. Eventually, thebiochar will oxidize and soil pH will decrease and CEC increase.The conditions under which feedstocks are pyrolyzed can po-tentially be designed to produce biochars with single or dualtargeted characteristics either as a C-sequestration amendment,a soil fertility correction, or both.

ACKNOWLEDGMENTSThis publication is based on work supported by the US

Department of AgricultureYAgricultural Research Service underthe ARS-GRACEnet project.

The authors thank Ms. Sheeneka Green, Mr. Dean Evans,Dr. Baoshan Xing, and Ms. Mary Kay Amistadi for laboratoryanalyses.

REFERENCESAhmedna, M., W.E. Marshall, and R.M. Rao. 1998. Production of granular

activated carbon from select agricultural by-products and evaluation oftheir physical, chemical, and adsorption properties. Bioresour. Technol.71:113Y123.

Alexander, M. 1977. Introduction AQ2to Soil Microbiology, 2nd Ed. JohnWiley & Sons.

Antal, M. J., Jr, and M. GrLnli. 2003. The art, science, and technology ofcharcoal production. Ind. Eng. Chem. Res. 42:1619Y1640.

ASTM. 2006. Petroleum Products, Lubricants, and Fossil Fuels: GaseousFuels; Coal and Coke. ASTM Inter, West Conshohocken, PA.

Baldock, J. A., and R. J. Smernik. 2002. Chemical composition andbioavailability of thermally altered Pinus resnosa (red pine) wood. Org.Geochem. 33:1093Y1109.

Bauer, P. J., J. R. Frederick, J. M. Novak, and P. G. Hunt. 2006. Soil CO2 fluxfrom a Norfolk loamy sand after 25 years of conventional and conser-vation tillage. Soil Tillage Res. 90:205Y211.

Bohn, H. L., B. L. McNeal, and G. A. O’Connor. 1979. Soil Chemistry.Wiley-Interscience, New York, NY.

Buol, S. W. 1973. Soils of the Southern states and Puerto Rico. So. Coop.Series Bull. 174. USDA, Washington, DC.

Daniels, R. B., E. E. Gamble, and J. G. Cady. 1970. Some relations amongCoastal Plain soils and geomorphic surfaces in North Carolina. Soil Sci.Soc. Am. Proc. 34:648Y653.

Daniels, R. B., E. E. Gamble, and W. H. Wheeler. 1978. Age of soil land-scapes in the upper Coastal Plain of North Carolina. Soil Sci. Am. J.42:98Y104.

Daniels, R. B., S. W. Boul, H. J. Kleiss, and C. A. Ditzler. 1999. SoilSystems in North Carolina. North Carolina State University, TechnicalBulletin 314. NCSU, Raleigh, NC.

EBG-SWES-UA, 2008EBG-SWES-UA, 2008. Environmental Biogeochem-istry Group, Soil, Water, and Environmental Science, University ofArizona. Laboratory procedures and ICP operating conditions. Avail-able at http://ag.arizona.edu/SWES/chorover_lab/facilities.html (verifiedJune 6, 2008).

Eswaran, H., and R. Tavernier. 1980. Classification and genesis of Oxisols.In: B. K. G. Theng (ed.) Soils With Variable Charge. New Zealand Soc.Soil Sci. Private Bag, New Zealand, pp. 427Y442.

Gamble, E. E., and R. B. Daniels. 1974. Parent materials of the upper- andmiddle Coastal Plain soils in North Carolina. Soil Sci. Soc. Am. Proc.38:633Y637.

Gardner, L. E. 1981. Element mass balance for South Carolina Coastal Plainwatersheds. Water Air Soil Pollut. 15:271Y284.

German, L. A. 2003. Historical contingencies in the coevolution of envi-ronment and livelihood: contributions to the debate on AmazonianBlack Earth. Geoderma 111:307Y331.

Glaser, B., J. Lehmann, and W. Zech. 2002. Ameliorating physical andchemical properties of highly weathered soils in the tropics withcharcoal-a review. Biol. Fertil. Soils. 35:219Y230.

Gray, L. C. 1933. History of Agriculture in the Southern United States to1860. Carnegie Inst., Washington, DC.

Hamer, U., B. Marschner, S. Brodowski, and W. Amelung. 2004. Interactivepriming of black carbon and glucose mineralization. Org. Geochem.35:823Y830.

Hunt, P. G., D. L. Karlen, T. A. Matheny, and V. L. Quisenberry. 1996.Changes in carbon content of a Norfolk loamy sand after 14 years ofconservation or conventional tillage. J. Soil Water Conserv. 51:255Y258.

Koutcheiko, S., C. M. Monreal, H. Kodama, T. McCraken, and L. Kotlyar.2007. Preparation and characterization of activated carbon derived fromthe thermo-chemical conversion of chicken manure. Bioresour. Technol.98:2459Y2464.

Soil Science & Volume 174, Number 2, February 2009 Biochar in Coastal Plain Soil

* 2009 Lippincott Williams & Wilkins 7

Page 343: Agricultural Applications for Pine-Based BioChar

Copyright @ 2009 by Lippincott Williams & Wilkins. Unauthorized reproduction of this article is prohibited.

Kramer, R. W., E. B. Kujawinski, and P. G. Hatcher. 2004. Identification ofblack carbon derived structures in a volcanic ash soil humic acid byFourier transform ion cyclotron resonance mass spectrometry. Environ.Sci. Technol. 38:3387Y3395.

Laird, D. A. 2008. The charcoal vision: a win-win-win scenario for simul-taneously producing bioenergy, permanently sequestering carbon, whileimproving soil and water quality. Agron. J. 100:178Y181.

Laird, D. A., M. A. Chappell, D. A. Martens, R. L. Wershaw, and M. L.Thompson. 2008. Distinguishing black carbon from biogenic humicsubstances in soil clay fractions. Geoderma 143:115Y122.

Lehmann, J. 2007. Bio-energy in the black. Front. Ecol. Environ. 5:381Y387.

Lehmann, J., J. P. da Silva Jr, C. Steiner, T. Nehls, W. Zech, and B. Glaser.2003. Nutrient availability and leaching in an archaeological Anthrosoland a Ferralsol of the Central Amazon basin: fertilizer, manure andcharcoal amendments. Plant Soil 249:343Y357.

Lehmann, J., and M. Rondon. 2006. Biochar soil management on highlyweathered soils in the humid tropics. In: N. Uphoff (ed.). BiologicalApproaches to Sustainable Soil Systems. CRC Press, Boca Raton, FL,pp. 105Y124.

Liang, B., J. Lehmann, D. Solomon, J. Kinyangi, J. Grossman, B. O’Neill,J. O. Skjemstad, J. Thies, F. J. Luizao, J. Petersen, and E.G. Neves. 2006.Black carbon increases cation exchange capacity in soils. Soil Sci. Soc.Am. J. 70:1719Y1730.

Mann, C. C. 2005. 1491: New Revelations of the Americas Before Columbus.Vintage and Anchor Books, New York, NY.

Novak, J. M., D. W. Watts, P. G. Hunt, and K. C. Stone. 2000. Phosphorusmovement through a coastal plain soil after a decade of intensive swinemanure application. J. Environ. Qual. 29:1310Y1315.

Novak, J. M., P. J. Bauer, and P. G. Hunt. 2007a. Carbon dynamics underlong-term conservation and disk tillage management in a Norfolk loamysand. Soil Sci. Soc. Am. J. 71:453Y456.

Novak, J. M., A. A. Szogi, D. W. Watts, and W. J. Busscher. 2007b. Watertreatment residuals amended soils release Mn, Na, S and C. Soil Sci.172:992Y1000.

Novotny, E. H., E. R. Deazevedo, T. J. Bonagamba, T. J. Cunha, B. E.Madari, V. D. Benites, and M. H. Hayes. 2007. Studies on thecompositions of humic acids from dark earth soils. Environ. Sci.Technol. 41:400Y405.

Ramirez, R. G., H. E. Kiesling, M. L. Galyean, and D. R. Miller. 1986.Influence of pecan shells and hulls as a roughage source on milkproduction, rumen fermentation, and digestion in ruminants. J. DairySci. 69:1355Y1365.

Ritter, W. F., R. W. Scarborough, and A. E. M. Chirnside. 1998. Winter covercrops as best management practice for reducing nitrogen leaching.J. Contam. Hydrol. 34:1Y15.

Rutherford, D. W., R. L. Wershaw, and L. G. Cox. 2004. Changes incomposition and porosity during the thermal degradation of wood andwood components. USGS Sci. Invest. Rep. 2004Y5292. Available athttp://pubs.usgs.gov/sir/5292 (verified November 6, 2008).

Schmidt, M. W., and A. G. Noack. 2000. Black carbon in soils and sedi-

ments: analysis, distribution, implications, and current challenges. Glob.Biogeochem. Cycles 14:777Y794.

Shaw, J. N., L. T. West, D. D. Bosch, C. C. Truman, and D. S. Leigh. 2004.Parent material influence on soil distribution and genesis in a Paleudultand Kandiudult complex southeastern USA. Catena 57:157Y174.

Smith, B. R., M. A. Granger, and S. W. Buol. 1976. Sand and coarse siltmineralogy of selected soils on the lower Coastal Plain of NorthCarolina. Soil Sci. Soc. Am. J. 40:928Y932.

Sojka, R. E., C. R. Camp, J. E. Parsons, and D. L. Karlen. 1984. Measure-ment variability in soybean water status and soil-nutrient extraction in arow spacing study in the U.S. southeastern Coastal Plain. Commun. SoilSci. Plant Anal. 15:1111Y1134.

Sombroek, W., M. L. Ruivo, P. M. Fearnside, B. Glaser, and J. Lehmann.2003. Amazonian dark earths as carbon stores and sinks. In: J. Lehmann,et al (eds.). Amazonian Dark Earths: Origins, Properties, Management.Kluwer Acad. Publ., Dordrecht, Germany, pp. 125Y139.

Sparks, D. L. 1995. Environmental Soil Chemistry. Academic Press, SanDiego, CA.

Steiner, C., W. G. Teixeria, J. Lehmann, T. Nehls, J. L. V. deMacedo,W. E. H. Blum, and W. Zech. 2007. Long term effects of manure,charcoal, and mineral fertilization on crop production and fertility ona highly weathered central Amazonian upland soil. Plant Soil 291:275Y290.

Stevenson, F. J. 1994. Humus Chemistry, 2nd Ed. John Wiley & Sons, NewYork, NY.

Thompson, L. M., and F. R. Troeh. 1978. Soils and Soil Fertility, 4th Ed.McGraw-Hill, New York, NY.

Tiessen, H., E. Cuevas, and P. Chacon. 1994. The role of soil organic matteris sustaining soil fertility. Nature 371:587Y615.

Trindale, H., J. Coutinho, M. L. van Beusichem, D. Schofield, and N.Moreira. 1997. Nitrate leaching from sandy loam soils under a double-cropping forage system estimated from suction-probe measurements.Plant Soil 195:247Y256.

Trimble, S. W. 1974. Man-Induced Soil Erosion on the Southern Piedmont,1700-1970. Soil Conserv. Soc. Am., Ankeny, IA.

USEPA. 2008. Microwave assisted acid digestion of siliceous and organ-ically based matrices. In Test Methods for Evaluating Solid Waste,Physical/Chemical Methods. SW-846. USEPA, Washington, DC. Avail-able at http://www.epa.gov/osw/hazard/testmethods/sw846/pdfs/3052.pdf(verified November 28, 2008).

Wang, X., R. Cook, S. Tao, and B. Xing. 2007. Sorption of organic con-taminants by biopolymers: Role of polarity, structure and domain spatialarrangement. Chemosphere 66:1476Y1484.

Wershaw, R. L. 1985. Application of nuclear magnetic resonance spectros-copy for determining functionality of humic substances. In: G. R. Aiken,et al (eds.). Humic Substances in Soil, Sediment, and Water. John Wiley& Sons, New York, NY, pp. 561Y582.

Zotarelli, L., J. M. Scholberg, M. D. Dukes, and R. Munoz-Carpena. 2007.Monitoring of nitrate leaching in sandy soils. J. Environ. Qual. 36:953Y962.

Novak et al Soil Science & Volume 174, Number 2, February 2009

8 * 2009 Lippincott Williams & Wilkins

Page 344: Agricultural Applications for Pine-Based BioChar

Black carbon from rice residues as soil amendment and for carbon sequestration 1Haefele SM, 2Konboon Y, 3Knoblauch C, 4Koyama S, 1Gummert M, 1Ladha JK

1 International Rice Research Institute, 2 Ubon Ratchathani Rice Research Center, 3 University of Hamburg, 4 Japan International Cooperation Agency Tsukuba, IRRI INTERNATIONAL RICE RESEARCH INSTITUTE

1 Background and objectives

On highly weathered soils in tropical and subtropical climates, maintenance of soil organic matter is essential to sustain system productivity and avoid rapid soil degradation. But climatic conditions as well as soil characteristics favor the rapid decomposition of organic matter. However, several recent studies indicated that carbonized plant residues (black carbon), the product of incomplete combustion of organic material, could combine characteristics highly beneficial for soil nutrient dynamics with high stability against chemical and microbial breakdown. Our project investigates i) past and present uses of carbonized rice residues, ii) the agronomic and environmental effects of carbonized rice residues in rice-based systems, iii) the bio-degradability of carbonized residues in rice soils, and iv) the possibilities to integrate residue use into the rice production process.

Fig 2: Production of CH4 and CO2 in two temperate Fluvisols. Upper panels show CH4 (black) and CO2 (grey) production under anoxic incubation conditions, lower panels CO2-production under oxic conditions. Error bars indicate standard deviation of quadruplicate incubations, the diamond the content of Corg in the different treatments.

Carbonized rice husk can also be the end product of rice hull furnaces used by small commercial rice mills to dry the paddy. A new semi-automatic down-draft rice husk furnace, developed by IRRI, Hohenheim University (Germany) and Nong Lam University (Vietnam) has an adjustable feed mechanism for setting the retention time of the rice husk inside the burning chamber.

2. Past and current use of carbonized rice residues

Carbonized rice husk are traditionally used in Japan. In and outside of Japan they are mainly used in seed beds, in hydroponics and for the cultivation of ornamental plants.

Poster identification card

3. The effect of carbonized rice husks in greenhouse and field experiments

To investigate the effect of carbonized residue application, we conducted greenhouse studies and established field experiments in different rice production systems (irrigated and rainfed). Preliminary results indicate beneficial agronomic effects on poor soils only. Analysis of the effect on soil characteristics has not yet been completed.

4. Bio-degradability of carbonized rice husks in incubation experiments

The decomposition of carbonized organic matter in soils was evaluated under oxic and anoxic conditions by measuring the carbon dioxide and methane production. Under both conditions, carbonized rice husks were inert and not decomposed.

5. Integrated use of rice residues (husks)

Husks constitute about 20% of the paddy weight. Using a newly developed rice hull furnace, they could substitute fossil fuels in the paddy drying process, supply a material for soil improvement and contribute to carbon sequestration in the soil.

No rice husk added

Carbonized rice husk added

Untreated rice husk added

No rice husk added

Carbonized rice husk added

Untreated rice husk added

loamy Fluvisol sandy Fluvisol

Ano

xic

Oxi

c

Fig 1: Experimental setup. Anoxic incubations (left panel) were done with field fresh soil in sealed glass flasks. CH4 and CO2-concentrations were measured repeatedly and gas production rates calculated. Oxic carbon turnover was studied in soil samples incubated in gas tight glass flasks under ambient air (right panel). A NaOH trap was used to precipitate CO2 produced. After the incubation period (24-48 h) CO2 production was quantified by titration with HCl.

Preliminary results: If dried rice husks were added, the initial CO2 and CH4 production rates increased by a factor of 3 to 7. In case of the addition of carbonized material, no effect could be measured. These results indicate the strong resistance of carbonized organic matter towards microbial breakdown.

At high feed rates the husks are incompletely burned resulting in a higher ash recovery, i.e. the furnace produces a high percentage of carbonized rice husk without loosing much efficiency. Hence, rice husks could simultaneously substitute fossil fuels (CO2 emission neutral) during the paddy drying process, supply a material for soil improvement and contribute to carbon sequestration in the soil.

Conclusions:

Carbonized crop residues could contribute to increase soil carbon storage (carbon sequestration), reduce climate-relevant gas emissions and improve the natural soil resource in rice-based production systems.

In Japan, carbonized rice husk (Kuntan) has been produced and used in agriculture since a long time. Several books on the utilization of Kuntan in agriculture were already published in the 1910’s in Japan. In and outside of Japan, Kuntan was and is used to cover and protect rice nurseries, as an additive to the culture medium for ornamental plants, and as a component of growth media for seedlings and hydroponics. It was also reported to function as absorptive for moisture and gas and as water purifier. Because of the known use and production of carbonized rice husk in Japan, the same material and procedure for our experiments was used. Weight loss due to carbonization was 68%, but the bulk density did not change (128 g per liter). Data of the chemical analysis is given below. Note that these results depend highly on the temperature and duration of the carbonization process.

C N P K Ca Mg Si Fe Zn

-----------------------------------g kg-1--------------------------------- ppm Plain rice husk 362 6.9 1.4 4.5 0.6 0.8 95 0.9 17 Carbonized husk 1 398 19.7 7.8 13.4 1.4 3.7 187 1.2 63 Carbonized husk 2 398 4.9 1.1 7.2 1.6 1.2 220 5.6 36 Charcoal (wood) 805 9.4 1.2 11.2 11.8 1.3 1 0.4 21

Greenhouse experiments were conducted at IRRI and URRRC (NE Thailand), comparing treatments without, with plain and with carbonized husk application. Fertilizer treatments (none and medium NPK rate) were superimposed. Four field trials with identical treatments were established in irrigated systems in the Philippines and India (Los Baños, Modipuram), in a rainfed upland system in the Philippines (Siniloan), and in a rainfed lowland system in NE Thailand (Ubon).

Siniloan, Philippines

Los Banos, Philippines

Greenhouse experiment

Preliminary results: greenhouse experiments did indicate small biomass and yield increases due to the application of carbonized rice husks. Even high application rates did not result in increased leaching of organic carbon. Results of the field trials did not show any significant agronomic effect (biomass or grain yield) in irrigated systems with medium soil fertility (Los Baños, Modipuram), but considerable yield increases were observed in rainfed systems with poor soil fertility. Particularly interesting at these sites and in the greenhouse experiments was that the addition of carbonized husks did increase the fertilizer use efficiency. Analysis of soil related results is still ongoing.

b b b

ab ab

a

Kuntan production in Japan (photo provided by A. Kubota)

Kuntan production at IRRI

Presented by SM Haefele, IRRI ([email protected])

Page 345: Agricultural Applications for Pine-Based BioChar

P37.45 Biochar as a soil amendment positively interacts with nitrogen fertiliser to improve barley yields in the UK Alfred Gathorne-Hardy, J Knight, J Woods Imperial College, Centre for Energy Policy and Technology (ICEPT), London, UK Introduction: Soil organic carbon (SOC) is vital for sustainable yields, retaining water and nutrients, providing a habitat for soil biota and improving soil structure (Lorenz 2007). SOC is also a major carbon store, containing over twice the total carbon present in the atmosphere. Land Use Change and arable farming practises have already led to a marked reduction in SOC, and with the increased temperatures expected with climate change SOC is likely to fall further (Raich, Potter et al. 2002). Its loss reduces soil fertility and further exacerbates climate change. Biochar, the use of charcoal as a soil amendment, has been proposed to increase both SOC levels and soil fertility. Biochar has two key properties:

1. a high affinity to nutrients and water, reducing onsite nutrient loss and offsite pollution from nutrient leaching

2. a long residence time. Unlike soil amendments such as compost/manure biochar has a half life of up to several centuries (Lehmann, Gaunt et al. 2006)

The long residence time has lead to biochar’s promotion for carbon sequestration, as it solves the lack of permanence problem that plagues most other (non-geological) carbon capture and storage programmes, for example afforestation. But before biochar can be widely taken up it is essential that its impacts on arable cropping are understood. To date there has been almost no work looking at the use of biochar in temperate agriculture. Aim: To investigate the impacts of different rates of biochar on cereal growth within temperate agriculture, and specifically the interaction of biochar and nitrogen fertiliser. Methods: In 2008 a semi-randomised block design was established using spring barley on light land with five levels of biochar (0, 5 10, 20 and 50 t/ha) and 5 levels of N (ammonium nitrate) fertiliser (0, 25, 50, 70 and 100 kgN/ha). Each biochar level was tested against each N level, giving 25 treatments. Each treatment was repeated 5 times. Other nutrients were supersaturated on all plots. Results were analysed using ANOVA in R. Results and Conclusions: Interestingly the results showed no significant effect of yield for biochar alone, but do show a significant interaction (p = 0.055) between biochar and N fertiliser. Biochar appears to increase the nitrogen use efficiency. In this site the addition of 50t/ha of biochar increased the total yield by c. 30% when high levels of N were used. A likely explanation for the lack of effect from biochar alone on yield is that one of the most important attributes of biochar – its ability to retain water – was not tested as the 2008 growing season was exceptionally wet, so water was unlikely to have been a limiting factor.

Climate Change: Global Risks, Challenges and Decisions IOP PublishingIOP Conf. Series: Earth and Environmental Science 6 (2009) 372052 doi:10.1088/1755-1307/6/7/372052

c© 2009 IOP Publishing Ltd 1

Page 346: Agricultural Applications for Pine-Based BioChar

0

50

100

150

200

250

0 5 10 20 50

Biochar application rate (t/ha)

Ba

rle

y y

ield

(g

/2

50

cm2

)

0 N kg/ha

10 N kg/ha

20 N kg/ha

80 N kg/ha

100 N kg/ha

In addition to the onsite experiment, an economic model is being developed to see which price mechanisms, if any, are required to encourage farmers to use biochar as a regular soil amendment. Conclusion: These results demonstrate that biochar can have an important role in addressing climate change through carbon sequestration and increased nitrogen use efficiency, and at the same time improving yields and food security. It is hoped that through its high affinity to nutrients and water biochar can help to buffer climatic variability and reduce the need for fertiliser inputs. Thus biochar could both adapt agriculture to, and mitigate it from, climate change. List of References Lehmann, J., J. Gaunt, et al. (2006). "Bio-Char Sequestration in Terrestrial Ecosystems – a Review." Mitigation and Adaptation Strategies for Global Change 11: 25. Lorenz, K. (2007). "Strengthening the soil organic carbon pool by increasing contributions from recalcitrant aliphatic bio(macro)molecules." Geoderma 142(1-2): 1-10. Raich, J. W., C. S. Potter, et al. (2002). Interannual variability in global soil respiration, 1980-94. 8: 800-812.

Figure 1. The effect of different levels of biochar, N fertiliser, and their interactions on barley yield

Climate Change: Global Risks, Challenges and Decisions IOP PublishingIOP Conf. Series: Earth and Environmental Science 6 (2009) 372052 doi:10.1088/1755-1307/6/7/372052

2

Page 347: Agricultural Applications for Pine-Based BioChar

African Journal of Agricultural Research Vol. 3 (11), pp. 759-774, November, 2008 Available online at http://www.academicjournals.org/AJAR ISSN 1991-637X © 2008 Academic Journals Full Length Research Paper

Preliminary evaluation of the effects of carbonized chicken manure, refuse derived fuel and K fertilizer

application on the growth, nodulation, yield, N and P contents of soybean and cowpea in the greenhouse

Seth O. Tagoe, T. Horiuchi and T. Matsui

United Graduate School of Agricultural Science, Gifu University, Yanagido 1-1 Gifu, 501-1193, Japan.

Accepted 3 November, 2008

Carbonized organic materials have not traditionally been applied to grain legumes such as soybean (Glycine max L. Merrill) and cowpea (Vigna unguiculata L. Walp) although the potential for favourable agronomic responses exist because of their high contents of available P. We explored the effects of carbonized chicken manure and carbonized refuse derived fuel (RDF) from municipal organic waste with or without inorganic K fertilization on the growth, nodulation, seed yield, N and P contents of soybean and cowpea in a vinyl house pot experiment. Growth, nodulation, plant total N and P contents were evaluated at peak flowering stage of legume growth. The application of carbonized chicken manure only increased seed yield by 41 and 146% for soybean and cowpea respectively while the carbonized chicken manure with inorganic K fertilizer increased seed yield by 53 and 185% for soybean and cowpea respectively relative to the un-amended control. The application of carbonized RDF only increased seed yield by 20 and 59% for soybean and cowpea respectively while the application of carbonized RDF with inorganic K fertilizer increased seed yield by 45 and 126% for soybean and cowpea respectively relative to the absolute control. The application of both carbonized organic materials with inorganic K fertilizer increased number of nodules more than their sole application. Results suggested that the application of carbonized chicken manure and carbonized RDF improved the growth, nodulation, seed yield, N and P contents of both grain legumes due to their high content of P. The application of the carbonized organic materials with inorganic K fertilizer further increased seed yields of both grain legumes suggesting that K was limiting the response to P from the organic materials in the experimental soil. Key words: Carbonization, chicken manure, grain legumes, refuse derived fuel, seed yield.

INTRODUCTION Soybean (Glycine max (L) Merrill) and Cowpea (Vigna unguiculata (L) Walp) are important grain legumes grown in the tropics and sub-tropics. Cowpea is particularly important in West Africa where it occupies 6 million hectares of agricultural land (Bationo et al., 1990) with over 9.3 million metric tons of annual production (Ortiz, 1998). The main limiting nutrients for legume production *Corresponding author. E-mail:[email protected]; Tel: +81-90-1822-9702. Fax: +81-58-293-2846.

in West Africa are N and P (Fox and Kang, 1977). The high cost and scarcity of inorganic fertilizers had renewed interest in the use of unorthodox organic soil amendment materials such as carbonized organic materials (Shinogi et al., 2003) and bio-char (Ishii and Kadoya, 1994) for cultivation of crops.

Carbonization has been proposed as a management tool for agricultural and municipal wastes producing fertilizer, renewable energy and bio-char. Carbonization is achieved through pyrolysis of organic wastes at tempera- tures ranging between 300 and 500oC and eliminates the bad smell, reduces the volume and weight of organic wastes (Popov et al., 2004). During carbonization, some

Page 348: Agricultural Applications for Pine-Based BioChar

760 Afr. J. Agric. Res. amount of N is lost in the form of ammonia gas but the resulting carbonized material is higher in available P by up to 5 times compared to the original waste (Shinogi et al., 2003; Tagoe et al., 2008).

Carbonized organic wastes can be used as soil amendments to supply plant nutrients especially N and P. The application of carbonized organic wastes to soil improve the physical properties of the soil, improve soil fertility and nutrient retention (Sombroek et al., 1993; Lehmann and Rondon., 2005), stimulate microbial activities in soil (Tejada et al., 2006), increase mycorrhizal abundance and/or functioning (Warnock et al., 2007), increase nodule abundance in soybean (Tagoe et al., 2008) as well as improve biological N2 fixation in common beans (Rondon et al., 2007). No work has been reported in the scientific literature on

the use of carbonized refuse derived fuel (CRDF) as soil amendment for legume growth while only one work had been reported on the use of carbonized chicken manure as soil amendment for soybean growth (Tagoe et al., 2008). In this study, we assess the effects of two carbonized organic soil amendment materials (chicken manure and RDF) on the growth, nodulation, yield, N and P concentrations of two grain legumes (soybean and cowpea) with or without inorganic K fertilizer. We hypothesized that the application of carbonized organic materials will improve the growth, nodulation, seed yield, N and P concentrations of grain legumes more with K fertilizer than without K fertilizer because K could limit the response of grain legumes to P from carbonized organic materials in low P status soils (Carsky, 2003) and also because of the low K content of the experimental soil. Our major objectives are to elucidate the effect of carbonized chicken manure and carbonized RDF on 1) the growth, nodulation and seed yield and 2) plant and seed concentrations of N and P of both crops. MATERIALS AND METHODS Plant culture Experiments were conducted from May to October, 2007 at the greenhouse of Gifu University Experiment Farm (35o 27’ N, 136o 46’ E). Wagner pots (1/2000a) were filled with sandy loam soil with the following characteristics: pH; 5.62, EC; 0.28 mS cm-1, total N; 0.100%, total C; 0.88%, available P; 1.16 mg 100 g-1, available K; 13.3 mg 100 g-1, available Ca; 90.0 mg 100 g-1, and available Mg; 31.0 mg 100 g-1. The nutrient concentrations, pH and EC of the carbonized chicken manure and RDF used in the experiment are shown in Table 1. Carbonized chicken manure was obtained from Tokyo Yougyou Kabushiki Kaisha, Tajimi City, Gifu Prefecture, Japan. Carbonized chicken manure was produced from pelleted, dried chicken manure through pyrolysis at a temperature of 450oC for one hour in a furnace. Carbonized RDF was obtained from Kurimoto Tekkosho, In a City, Gifu Prefecture, Japan. Carbonized RDF was prepared from municipal organic waste through pyrolysis at a temperature of 500oC for 2 h in a kiln after drying the waste in a furnace for 10 h. The amounts of the carbonized organic materials applied per pot for the various treatments are shown in Table 2. Carbonized organic amendments were applied to the appropriate

treatments three weeks before sowing. Potassium fertilizer was applied as Muriate of Potash (KCl) at a rate of 83 kg K ha-1 to the appropriate treatments at sowing. No chemical pesticides were used in this experiment. Five seeds of soybean (Glycine max (L) Merrill cv Akishirome) and cowpea (V. unguiculata (L) Walp cv Tsurushi sasage) were sown per pot on 7th June, 2007. After emergence, seedlings were thinned to two per pot. Plants were watered as when necessary. All pots were kept completely free of weeds within the duration of the experiment by hand-picking when they appear. Experimental design The experiment was set up using two grain legumes (soybean and cowpea), two carbonized organic materials (carbonized chicken manure and carbonized RDF) with two rates of inorganic K fertilizer with or without K, 83 kg K ha-1 and 0 kg K ha-1 respectively in a factorial combination giving a total of 48 treatments (2 x 2 x 2 x 6) arranged in completely randomized design (CRD) of six replications. All data collected from the study were analyzed by using Duncan’s Multiple Range Test (DMRT) (Excel Statistical Package Version 6.0) and mean separations were done by the same method. Measurements Plant height and relative chlorophyll content (SPAD) were measured twice within the duration of the experiment. For both parameters, the first (pre-flowering) and second (post-flowering) samplings were done on 16th July and 31st July respectively. SPAD was measured with a chlorophyll meter model SPAD-502 (Minolta Co. Ltd., Japan). SPAD readings were taken from 12 randomly selected youngest and fully expanded leaves of plants in each pot. Each SPAD reading was taken on one side of the mid-rib of the leaf blade, midway between the leaf blade and tip.

Sampling for leaf area, dry matter weight, and number of nodules was done on 26th July for cowpea and 1st August for soybean when the plants were at peak flowering stage. Shoots were harvested by cutting the plants in each pot at the soil level. Roots were harvested by lifting the soil in each pot and washing off the soil under running water from a tap. The harvested shoots were separated into leaves, stems (including petioles), flowers etc. The roots were washed clean of soil and root nodules were separated and counted. The leaves were used to estimate leaf area by the core borer method after oven-drying harvested samples at 80oC for 72 h. The dried samples were then weighed to determine dry weights of leaves, stems, roots and nodules and finally total dry matter weight.

The total dry material was milled to pass 0.5 mm mesh sieve using a wonder blender (Model WB-1). The milled plant samples were used for total N and total P analyses and determination. Total N was determined with an automatic high sensitive NC analyzer (Sumigraph NC-95A, Shimadzu Co. Ltd., Japan). Total P was determined colorimetrically (HITACHI-U-1800) according to Bray and Kurtz (1945) and Murphy and Riley (1962).

Residual experimental soil exchangeable cations (K+, Ca2+, and Mg2+) were measured with a Polarized Zeeman Atomic Absorption Spectrophotometer (HITACHI-180-60) after extraction of samples with 1.0N Ammonium acetate solution (pH 7.0). RESULTS Plant growth At the pre-flowering sampling of the relative chlorophyll

Page 349: Agricultural Applications for Pine-Based BioChar

Tagoe et al. 761

Table 1. Nutrient composition of carbonized organic materials used in the experiment after pyrolysis.

Property Carbonized chicken Manure Carbonized refuse derived fuel pH † 9.93 7.76

EC (µS cm-1) 3.64 65.03 Total N (g kg-1) 44,0 20.2

NO3-N (mg kg-1) 1.90 - Total C (g kg-1) 497.5 500.9

C/N ratio 11.31 25.00 Na (g kg-1) 2.37 3.38 P (g kg-1) 24.6 5.22 K (g kg-1) 37.00 3.45

Ca (g kg-1) 7.67 30.28 Mg (g kg-1) 1.93 2.10

† The pH and EC were measured in the extracts of carbonized organic materials in distilled water [ 1:20 (w/v)] on dry weight basis.

Table 2. Treatment details showing amounts of carbonized organic materials and inorganic K fertilizer applied per pot and treatment abbreviations. Treatment Amount of carbonized

organic material applied (g)

Amount of K fertilizer applied as muriate of potash (KCl) (mg)

Abbreviation

No carbonized organic material (Control) 0 0 Control (Without K) No carbonized organic material (Control) 0 830.0 Control (With K) Carbonized chicken manure 11.40 0 CCM (Without K) Carbonized chicken manure 11.40 410.0 CCM (With K) Carbonized refuse derived fuel 24.75 0 CRDF (Without K) Carbonized refuse derived fuel 24.75 740.0 CRDF (With K)

content (SPAD) leaves of soybean plants treated with carbonized chicken manure were the greenest. Leaves of soybean plants treated with carbonized RDF were of intermediate greenness while those of the control were the least green with or without K fertilizer. Generally, leaves of soybean plants without K fertilizer were greener than those with K fertilizer (Figure 1). The observed differences were significant according to DMRT at p< 0.05.

At the post-flowering sampling of SPAD, a similar trend was observed for the control and carbonized RDF treatments with or without K fertilizer. However, leaves of soybean plants treated with carbonized chicken manure were the greenest with or without K fertilizer (Figure 1). At the pre-flowering sampling of SPAD of cowpea, leaves of plants treated with carbonized chicken manure with or without K fertilizer were the greenest. Cowpea leaves of plants treated with carbonized RDF with or without K fertilizer were of intermediate greenness. Leaves of cowpea plants without any organic amendment (control) with or without K fertilizer were least green (Figure 2). For cowpea leaves of plants treated with carbonized chicken manure and carbonized RDF, no difference in greenness were observed for treatments with and without K fertilizer.

Leaves of control cowpea plants that received K fertilizer were greener than those that did not (Figure 2). At the post-flowering sampling of SPAD for cowpea, a similar trend to the pre-flowering SPAD was observed except that leaves of control cowpea plants without K fertilizer were greener than those with K fertilizer (Figure 2). The observed differences among treatments for both pre-flowering and post-flowering were significant at p<0.05 according to DMRT.

Total dry weight was significantly highest according to DMRT at p<0.05 in soybean plants treated with carbonized chicken manure followed by those treated with carbonized RDF. Control soybean plants were least heavy in total dry weight (Table 3). For all treatments, soybean plants with K fertilization produced heavier dry matter than the corresponding treatments without K fertilization (Table 3). There was a strong and significant positive relationship between total dry weight and plant total N content of soybean (R2 = 0.79 **, Figure 3a). A strong and significant positive relationship was observed between soybean total dry weight and plant total P content (R2 = 0.90 **, Figure 3b).

Total dry weight of cowpea followed a similar trend as that of soybean. Cowpea plants treated with carbonized

Page 350: Agricultural Applications for Pine-Based BioChar

762 Afr. J. Agric. Res.

������������������������������������������������

�� ��� ��� ��� �������������������������������������

Figure 1. Effects of carbonized organic materials supply on the pre-flowering and post-flowering SPAD values of soybean. Data show the means ± SD of three independent replications.

������������������������������������������������

�� ��� ��� ��� �������������������������������������

Figure 2. Effects of carbonized organic materials supply on the pre-flowering and post-flowering SPAD values of cowpea. Data show the means ± SD of three independent replications.

chicken manure produced significantly the highest dry matter followed by those treated with carbonized RDF according to DMRT at p<0.05. Control cowpea plants

produced the least dry matter (Table 4). For all treatments, cowpea plants that received K fertilizer produced heavier dry matter than those that did not

Page 351: Agricultural Applications for Pine-Based BioChar

Tagoe et al. 763

Table 3. Growth, nodulation, total N and P contents of soybean as affected by the application of carbonized organic materials.

Treatment K fertilizer Total dry weight (g)

Number of nodules

Plant total N content (g kg-1)

Seed total N content (g kg-1)

Plant total P content (g kg-1)

Seed total P content (g kg-1)

Control Without K 38.0 a 380.7 a 27.8 a 66.1 a 0.35 a 0.09 a With K 49.3 b 428.3 b 27.2 a 66.8 a 0.38 b 0.11 b CCM Without K 64.2 c 529.3 c 31.9 c 72.8 d 0.44 d 0.27 c With K 81.8 d 611.0 d 33.0 d 73.8 e 0.47 f 0.34 e CRDF Without K 54.1 b 437.3 b 30.4 b 70.8 b 0.43 c 0.26 c With K 69.2 c 567.0 c 30.8 b 71.8 c 0.45 e 0.31 d

Within each column, means having a common letter(s) are not significantly different according to DMRT at p < 0.05.

Table 4. Total dry weight, number of nodules, total N and P contents of cowpea as affected by the application of carbonized organic materials.

Treatment K fertilizer Total dry

weight (g) Number of nodules

Plant total N content (g kg-1)

Seed total N content (g kg-1)

Plant total P content (g kg-1)

Seed total P content (g kg-1)

Control Without K 17.5 a 103.3 a 23.1 a 40.3 a 0.54 a 0.12 a With K 31.7 bc 140.0 b 22.9 a 41.3 b 0.56 b 0.14 b CCM Without K 34.8 c 122.0 ab 27.3 c 46.6 e 0.64 d 0.18 d With K 38.3 d 215.0 d 31.9 d 47.9 f 0.67 e 0.21 f CRDF Without K 29.3 b 113.0 a 24.9 b 43.5 c 0.62 c 0.16 c With K 37.7 d 189.0 c 28.0 c 44.9 d 0.64 d 0.19 e

Within each column, means having a common letter(s) are not significantly different according to DMRT at p < 0.05. (Table 4).There was a significant positive relationship between total dry weight and plant total N content of cowpea (R2 = 0.56 *, Figure 4a). A strong and significant positive relationship was observed between total dry weight and plant total P content of cowpea (R2 = 0.70 **, Figure 4b).

Number of nodules of soybean was significantly highest in soybean plants treated with carbonized chicken manure followed by those treated with carbonized RDF according to DMRT at p<0.05. Control soybean plants produced the least number of nodules. For each carbonized organic amendment treatment, soybean plants that received K fertilizer produced more nodules than those that did not (Table 3). There was a strong and significant positive relationship between number of nodules and plant total N content of soybean (R2 = 0.75**, Figure 5a). Also, a strong and significant positive relationship was observed between number of nodules and plant total P content of soybean (R2 = 0.83**, Figure 5b).

Cowpea plants of both carbonized organic amendment treatments without K fertilization produced similar number of nodules. However, cowpea plants treated with carbonized chicken manure and K fertilizer produced significantly the greatest number of nodules followed by cowpea plants treated with carbonized RDF and K fertilizer according to DMRT at p<0.05. Control cowpea plants with K fertilizer produced the least number of

nodules (Table 4). There was a significant positive relationship between number of nodules and plant total N content of cowpea (R2 = 0.68 *, Figure 6a). No significant positive relationship was observed between number of nodules and plant total P content of cowpea (R2 = 0.43 ns, Figure 6b). Yield and yield components Dry pod yield and seed yield of soybean followed a similar trend. Soybean seed yield was heaviest in treatments amended with carbonized chicken manure with or without K fertilizer followed by carbonized RDF amended treatments with or without K fertilizer. Soybean seed yield was least in control treatments with or without K fertilizer (Table 5). Generally, carbonized organic amendment treatments that received K fertilizer produced better dry pod and seed yields than those without K fertilizer. The application of carbonized chicken manure only increased soybean seed yield by 41% while the application of carbonized RDF only increased soybean seed yield by 20%. The application of carbonized chicken manure and K fertilizer increased soybean seed yield by 53% while the application of carbonized RDF and K fertilizer increased soybean seed yield by 45%.

Dry pod yield and seed yield of cowpea followed a similar trend. Cowpea plants treated with carbonized

Page 352: Agricultural Applications for Pine-Based BioChar

764 Afr. J. Agric. Res.

���������������������������������������������������

���������������������������������������������������������������������������������������

��������������������������������������������������������������������������������������������

= Without K fertilizer; = with K fertilizer; ** = significant at 1%.����

= Without K fertilizer; = with K fertilizer; ** = significant at 1%.����

Figure 3. Relationship between total dry weight, plant total N content and plant total P content of soybean at peak flowering. 3a. Relationship between total dry weight and plant total N content of soybean at peak flowering stag 3b. Relationship between total dry weight and plant total P content of soybean at peak flowering stage

Page 353: Agricultural Applications for Pine-Based BioChar

Tagoe et al. 765

��

�����������������������������������������������������

��������������������������������������������������������������������

= Without K fertilizer; = with K fertilizer; * = significant at 5%.����

= Without K fertilizer; = with K fertilizer; ** = significant at 1%.

Figure 4. Relationship between total dry weight, plant total N content and plant total P content of cowpea at peak flowering. 4a. Relationship between total dry weight and plant total N content of cowpea at peak flowering stage. 4b. Relationship between total dry weight and plant total P content of cowpea at peak flowering stage.

Page 354: Agricultural Applications for Pine-Based BioChar

766 Afr. J. Agric. Res.

�����������������������������������������������������

�����������

= Without K fertilizer; = with K fertilizer; ** = significant at 1%.����

= Without K fertilizer; = with K fertilizer; ** = significant at 1%.����

Figure 5. Relationship between number of nodules, plant total N content and plant total P content of soybean at peak flowering. 5a. Relationship between number of nodules and plant total N content of soybean at peak flowering stage. 5b. Relationship between number of nodules and plant total P content of soybean at peak flowering stage.

Page 355: Agricultural Applications for Pine-Based BioChar

Tagoe et al. 767

(6a)

�����������������������������������������

������������������������������������������6b)

= Without K fertilizer; = with K fertilizer; ns = not significant .����

= Without K fertilizer; = with K fertilizer; = significant at 5% .����

Figure 6. Relationship between number of nodules, plant total N content and plant total P content of cowpea at peak flowering. 6a. Relationship between number of nodules and plant total N content of cowpea at peak flowering stage. 6b. Relationship between number of nodules and plant total P content of cowpea at peak flowering stage.

Page 356: Agricultural Applications for Pine-Based BioChar

768 Afr. J. Agric. Res.

Table 5. Yield and yield components of soybean as affected by the application of carbonized organic materials.

Treatment K fertilizer Dry pod yield (g)

Seed yield(g)

No. of pods plant-1

No. of seeds pod-1

100 seed wt (g)

Harvest index

Control Without K 49.5 a 38.1 a 50.4 a 1.8 a 26.4 a 0.54 ab With K 68.7 c 52.9 c 108.7 c 1.8 a 28.0 b 0.63 e CCM Without K 69.8 c 53.7 c 79.0 c 1.9 b 28.9 c 0.57 bc With K 71.9 cd 58.4 d 137.5 d 2.0 c 29.9 e 0.59 bc CRDF Without K 59.7 b 45.9 b 68.9 b 1.9 b 27.8 b 0.67 e With K 75.8 d 55.4 cd 103.7 d 1.9 b 29.6 d 0.52 a

Table 6. Yield and yield components of cowpea as affected by the application of carbonized organic materials.

Treatment K fertilizer Dry pod yield (g)

Seed yield(g)

No. of pods plant-1

No. of seeds pod-1

100 seed wt (g)

Harvest index

Control Without K 26.1 a 14.2 a 9.4 a 11.7 ab 17.4 a 0.66 d With K 40.6 c 27.6 c 12.0 bc 11.3 ab 17.3 a 0.60 ab CCM Without K 47,9 d 34.9 e 11.9 b 12.0 b 19.8 b 0.61 bc With K 54.9 e 40.5 f 14.9 d 12.3 b 20.2 b 0.63 c CRDF Without K 35.6 b 22.6 b 11.4 b 10.7 a 18.1 a 0.59 ab With K 47.1 d 32.1 d 13.0 c 11.3 ab 19.6 b 0.58 a

chicken manure with or without K fertilizer produced the heaviest seed yield followed by those treated with carbonized RDF. Control cowpea plants with or without K fertilizer produced the least heavy seed yield. Generally, cowpea plants that received K fertilizer produced heavier seed yield than those that did not receive K fertilizer (Table 6). Cowpea seed yield increased 146% by the application of carbonized chicken manure only while it increased by 49% as a result of the application of carbonized RDF only. The application of carbonized chicken manure and K fertilizer increased cowpea seed yield by 185% while the application of carbonized RDF and K fertilizer increased it by 126%.

Number of pods/plant of soybean followed a similar pattern to dry pod and seed yields of soybean. In all treatments, number of pods/plant of soybean was better for treatments that received K fertilizer than for those without K fertilizer (Table 5). Number of pods/plant was highest in cowpea plants that

received K fertilizer than those that did not for all treatments. Number of pods/plant was significantly highest in cowpea plants treated with carbonized chicken manure followed by carbonized RDF. Number of pods/plant was least in control cowpea plants. Number of seeds per pod was only slightly increased by K fertilizer in soybean plants treated with carbonized chicken manure (Table 5).

Number of seeds/pod of cowpea was neither affected by carbonized organic amendment material supply nor K fertilizer application (Table 6). 100 seed weight of soybean was increased by K fertilizer

in all organic amendment treatments. 100 seed weight was significantly heaviest in carbonized chicken manure treated plants according to DMRT at p< 0.05 followed by carbonized RDF treated plants. 100 seed weight was least heavy in control soybean plants (Table 5).

100 seed weight of cowpea was not affected by K fertilizer application in control and carbonized chicken manure treated plants but was increased slightly in carbonized RDF treated plants. 100 seed weight of cowpea was highest in plants treated with carbonized chicken manure with or without K fertilizer and similar to plants treated with carbonized RDF and K fertilizer (Table 6).

Harvest index was increased by K fertilizer application in control soybean plants and reduced in carbonized RDF treated soybean plants. K fertilizer application did not affect harvest index in carbonized chicken manure treated soybean plants (Table 5).

Harvest index of cowpea did not follow any particular trend but was highest in control cowpea plants without K fertilizer and lowest in carbonized RDF treated plants with K fertilizer (Table 6). N contents Plant total N content of soybean was highest in carbonized chicken manure amended plants followed by carbonized RDF amended plants. Control soybean plants were least in plant total N content (Table 3). K fertilizer

Page 357: Agricultural Applications for Pine-Based BioChar

only slightly increased plant total N content of carbonized chicken manure amended soybean plants while it had no effect on plant total N content of carbonized RDF amended soybean plants (Table 3). Seed total N content of soybean followed a similar trend as plant total N content of soybean. The only difference is that K fertilizer application increased seed total N content of carbonized chicken manure and carbonized RDF amended soybean plants while it had no effect on seed total N content of control soybean plants (Table 3). There was a significant positive relationship between seed total N content and seed yield of soybean (R2 = 0.50*, Figure 7).

Plant total N content of cowpea was highest in plants treated with carbonized chicken manure with or without K fertilizer followed by plants treated with carbonized RDF with or without K fertilizer. Control cowpea plants were lowest in plant total N content with or without K fertilizer (Table 4). K fertilizer application increased plant total N content in carbonized chicken manure and carbonized RDF amended cowpea plants but not in control cowpea plants (Table 4). Seed total N content of cowpea followed a similar trend (Table 4). However, K fertilizer application increased cowpea seed total N content in all treatments (Table 4). There was a strong positive relationship between plant total N content and seed yield of cowpea (R2 = 0.72**) as well as between seed total N content and seed yield of cowpea (R2 = 0.81**, Figure 8). P contents Plant total P content of soybean was affected by both carbonized organic amendment supply and K fertilizer application. Plant total P content of soybean was highest in plants amended with carbonized chicken manure with or without K fertilizer followed by carbonized RDF treated plants with or without K fertilizer. Control soybean plants were lowest in plant total P content (Table 3). K fertilizer application increased plant total P contents of all treatments (Table 3). Seed total P content of soybean followed a similar trend as plant total P content of soybean (Table 3). There was a positive relationship between plant total P content and seed yield of soybean (R2 = 0.62*, Figure 9).

Plant total P content of cowpea was affected by both carbonized organic amendment and K fertilizer application. Plant total P content of cowpea was highest in carbonized chicken manure amended cowpea plants with or without K fertilizer followed by carbonized RDF amended plants with or without K fertilizer. Plant total P content was lowest in control cowpea plants (Table 4). K fertilizer application increased plant total P contents of cowpea in all treatments. Seed total P content of cowpea followed a similar trend as plant total P content of cowpea (Table 4). There was a strong positive relationship between plant total P content and seed yield of cowpea (R2 = 0.71**, Figure 10). There was a strong positive relationship between seed total P content and seed yield

Tagoe et al. 769

of cowpea (R2 = 0.83**, Figure 10). DISCUSSION The effects of two carbonized organic materials that is, chicken manure and refuse derived fuel (RDF) with or without inorganic K fertilizer on the growth, nodulation, yield, N and P contents of two grain legumes i.e. soybean and cowpea were explored in this greenhouse trial. The application of carbonized chicken manure only increased seed yield by 41 and 146% in soybean and cowpea respectively while the application of carbonized chicken manure and inorganic K fertilizer increased seed yield by 53 and 185% in soybean and cowpea respectively. The application of carbonized RDF only increased seed yield by 20 and 59% in soybean and cowpea respectively while the application of carbonized RDF and inorganic K fertilizer increased seed yield by 45 and 126% in soybean and cowpea respectively. The trends for dry pod yield and total dry weight of both grain legumes were similar to that of their respective seed yields. This result is consistent with that reported by Rondon et al. (2007) who observed a 46% increase in common bean yield over the control in response to bio-char application. Chan et al. (2007) observed in their work that in the absence of N fertilizer, green-waste bio-char application to soil did not increase radish yield even at higher rates but reported significant bio-char and N fertilizer interaction highlighting the role of bio-char in improving N fertilizer use efficiency of the plant. Although few works are available for comparison with the results of this study, our results are consistent with previous works done using ordinary un-carbonized chicken manure. Garcia and Blancaver (1983) reported that the application of poultry manure increased soybean seed yield by 62% over the control. Schmidt et al. (2001) found that soybean seed yield increased linearly with increasing swine manure rate. Several researchers have reported soybean seed yield increases with applied commercial N fertilizer (Lamb et al., 1990; Wesley et al., 1998). The higher seed yields of both grain legumes in response to the application of carbonized organic materials especially carbonized chicken manure suggest that both N and P are important nutrients that influence the growth and yield of soybean and cowpea. Carbonized chicken manure and carbonized RDF contain high levels of macro-nutrients especially N and P as well as micro-nutrients that would be available to plant roots and soil biota. Hariston et al. (1990) and Schmidt et al. (2001) observed that soybean not only requires a considerable amount of N to produce a crop, but also a constant supply of available P to maintain rapid growth and development. Carbonized chicken manure and carbonized RDF are particularly rich in both total and available P and their application to soil at high rates can supply a considerable amount of available P for plant uptake. Again, carbonized organic materials such as

Page 358: Agricultural Applications for Pine-Based BioChar

770 Afr. J. Agric. Res.

= Without K fertilizer; = with K fertilizer; = significant at 5%.����

Figure 7. Relationship between seed total N content and seed yield of soybean.

Figure 8. Relationship between plant total N content, seed total N content and seed yield of cowpea. carbonized chicken manure, carbonized RDF and bio-char can act as soil conditioners to enhance plant growth by supplying macro and micro-nutrient elements,

retaining nutrients and improving soil physical and biological properties (Glaser et al., 2002; Lehmann and Randon, 2005). Abdelhamid et al. (2004) found increased

Page 359: Agricultural Applications for Pine-Based BioChar

Tagoe et al. 771

= Without K fertilizer; = with K fertilizer; * = significant at 5%.����

Figure 9. Relationship between plant total P content at peak flowering and seed yield of soybean.

���������������� �

Figure 10. Relationship between plant total P content, seed total P content and seed yield of cowpea.

Page 360: Agricultural Applications for Pine-Based BioChar

772 Afr. J. Agric. Res. dry weight of faba bean as a result of chicken manure supply. Cowpea responded positively to the application of carbonized chicken manure and CRDF in this study in terms of growth parameters and seed yield. This response underscores the importance of P as a critical nutrient element influencing the performance of cowpea and soybean. Several researchers have reported significant responses of cowpea and soybean to P application (Tenebe et al., 1995; Ankomah et al., 1995; Okeleye and Okelana, 1997). They observed significant increases in total dry matter yield, number of flowers, pod and seeds per plant, seed yield and nodulation as a result of P application. Rondon et al. (2007) reported a 39% increase in biomass production of common bean in response to bio-char application which they attributed to greater availability of K, Ca and P. Chan et al. (2007) observed additional increase in dry matter of radish in the presence of N fertilizer varied from 95% in the control to 266% in the 100 t/ha bio-char amended soils. Carsky (2003) working on the response of cowpea and soybean to P and K on terre de barre soils in southern Benin, reported that soybean and cowpea grain yield increased by 147% and 95% respectively in response to P application.

Number of nodules of soybean and cowpea increased with the application of carbonized organic materials. This observation is consistent with that of Tagoe et al. (2008) who reported increased nodule abundance of soybean as a result of carbonized chicken manure application and attributed it to the high available P content of carbonized chicken manure. The application of carbonized chicken manure increased nodule abundance of both grain legumes more than carbonized RDF. This observation can be attributed to the high P content of carbonized chicken manure relative to carbonized RDF. Rondon et al. (2007) also observed that biological N2 fixation of common bean increased with bio-char application. They reported that the proportion of fixed N increased from 50% without bio-char addition to 72% with 90 g kg-1 bio-char added and attributed this observation to greater availability of B, and Mo and to a lesser extent K, Ca and P availability. The application of the carbonized organic materials plus K fertilizer further increased the number of nodules of both legumes thus confirming the hypothesis that K could limit the response of P from the carbonized organic materials in low P status soils (Carsky, 2003). P fertilization has been shown to increase number of nodules and their weight in soybean (Cassman et al., 1993; Jones et al., 1977) and in cowpea (Wan Othman et al., 1991). This is because P is known to initiate nodule formation, increases the number of nodule primordia and is essential for the development and functioning of formed nodules (Waluyo et al., 2004). Nodules are known to be a strong sink for P and P concentration in nodules can be three times higher than in other plant organs with a minimum effect from P deficiency (Vadez et al., 1999). Several researchers have reported that the supply of P

plays important roles in establishment, growth and function of nodules (Israel, 1987; Beck and Munns, 1984; Leung and Bottomley, 1987) and growth of host plants (Munns et al., 1981). Number of nodules is important because a positive correlation has been reported between nodule number and total nitrogenase activity of soybean (Singleton and Bohlool, 1984) and alfalfa (Porter, 1983).

According to Gates and Muller (1979) the application of fertilizer containing N, P and S to soybean contributed to forming a stronger symbiotic mechanism and more active N2-fixation. Since the carbonized organic materials used in this experiment especially carbonized chicken manure contain N, P and S (Sharpley et al., 1993) their application to soybean and cowpea could be beneficial to the symbiotic N2-fixing mechanism. Low P availability is especially problematic for leguminous crops because legume nodules responsible for N2-fixation have high P requirement (Vance, 2001). P is essential for plant growth, nodulation and N2-fixation (Pereira and Bliss, 1989). Nodule number as well as nodule dry weight is greatly reduced by P deficiency (Ribet and Drevon, 1995) and nitrogenase activity varies with P availability (Israel, 1987). Acute P deficiency is known to prevent nodulation of grain legumes. P deficiency is more likely to affect N2-fixation legumes than other species because symbiotic N2-fixation is an energetically expensive process which requires more P than does plant growth (Olivera et al., 2004). The strong positive relationship between number of nodules and plant total P content of soybean confirms the importance of P in legume nodulation.

Total N and total P contents of plant and seed of soybean and cowpea increased with the application of carbonized organic materials with or without inorganic K fertilizer. This observation is consistent with that reported by Jassen (1998) that nutrient uptake requires N, P and K in balance to reach maximum values. Adeli (2005) observed increased N concentration in the above ground biomass of soybean in response to poultry manure application. The application of chicken manure to faba bean increased total N contents in roots, shoots and the whole plant (Abdelhamid et al., 2004). Belle (2006) reported significant increases in the uptake of N and P in common bean as a result of the application of N and P fertilizers. Barker and Sawyer (2005) observed that N concentration in plant dry matter of soybean was increased significantly with applied N. Studies with several legumes have consistently shown a positive response to P application; whole plant N concentration and plant dry matter were found to increase in response to phosphate in the growth media (Pereira and Bliss, 1987). P application has been reported to influence the contents of other nutrients in cowpea leaves (Kang and Nangju, 1983), shoots (Bagayoko et al., 2000) and seed (Omueti and Oyenuga, 1970). Seed total N content of soybean was positively correlated with seed yield. Also plant total N and seed total N contents of cowpea were

Page 361: Agricultural Applications for Pine-Based BioChar

correlated with seed yield of cowpea. These observations suggest the importance of N in the seed yields of these grain legumes due to the high protein contents of their seeds especially soybean. Plant total P content of soybean was positively correlated with soybean seed yield. Also, plant total P and seed total P contents were positively correlated with seed yield in cowpea. These observations underscore the importance of not only N, but P as well in increasing the growth and seed yield of these grain legumes.

Bio-char addition can result in elevated quantities of bio-available nutrients such as N, P and metal ions, in the soil (Tryon, 1948; Lehmann et al., 2003; Gundale and DeLuca, 2006; DeLuca et al., 2006). Addition of bio-char to soil alters important soil physical and chemical properties such as pH (Lucas and Davis, 1961) and typically increase soil cation exchange capacity (CEC) (Glaser et al., 2002), and can lead to greater water holding capacity (WHC) while generally decreasing bulk density (Tryon, 1948) as well as increase bio-available P and cations in soils. Improvement in physical properties of the soil as a result of the addition of carbonized chicken manure and carbonized RDF to a lesser extent, may have contributed to the increased growth and yield of the grain legumes. Conclusion The growth, nodulation, seed yield, total N and P contents of plant and seed of soybean and cowpea all increased with the supply of carbonized chicken manure and carbonized RDF due to their high available P contents. The application of carbonized organic materials and inorganic K fertilizer increased grain yield and other parameters in both crops more than the sole application of the carbonized organic materials thus suggesting that it is a good potential option to be evaluated for use in the field and home garden for grain legume production. ACKNOWLEDGEMENT The authors would like to express their profound gratitude to the Ministry of Education, Culture, Sports, Science and Technology, Japan for financial support without which this research would not have been possible. REFERENCES Abdelhamid M, Horiuchi T, Shinya O (2004). Nitrogen uptake by faba

bean from 15N labeled oilseed-rape residue and chicken manure with ryegrass as a reference crop. Plant Prod Sci 7:371-376.

Adeli A, Sistani KR, Rowe DE, Tewolde H (2005). Effects of broiler litter on soybean production and soil nitrogen and phosphorus concentrations. Agron. J. 97:314-321.

Ankomah AB, Zapata F, Hardarson G, Danso SKO (1995). Yield, nodulation and N2-fixation by cowpea cultivars at different phosphorus levels Biol. Fertil. Soil 22: 10-15.

Tagoe et al. 773 Bagayoko EG, Romheld V, Buerkert A (2000). Effects of mycorrhizae

and phosphorus on the growth and nutrient uptake of millet, cowpea and sorghum on a West African soil. J. Agric. Sci. Cambridge 135:399-407.

Bationo A, Mughogho SK, Mokwunye AU (1990). Agronomic evaluation of phosphate fertilizer in tropical Africa. In : Management of Nitrogen and Phosphorus Fertilizers of Sub-saharan Africa (eds A.U. Mokwunye & P.L.G. Vlek) Dordrecht, The Netherlands, Martinus Nijhoff, pp. 283-318.

Barker DW, Sawyer JE (2005). Nitrogen application to soybean at early reproductive development. Agron. J. 97:615-619.

Beck DP, Munns DN (1984). Phosphate nutrition of Rhizobium sp. Appl Environ Microbiol 47:278-282.

Belle JO (2006). Effect of nitrogen and phosphorus fertilizers on seed quality and yield of common beans (Phaseolus vulgaris L.). 18th World Congress of Soil Science, July 9-15, 2006, Philadelphia, Pennsylvania, USA.

Bray RH, Kurtz LT (1945). Determination of total organic and available forms of phosphorus in soils. Soil Sci. 59:39-45.

Carsky RJ (2003). Response of cowpea and soybean to P and K on terre de barre soils in southern Benin. Agric. Ecosyst. Environ. 100: 241-249.

Cassman KG, Singleton PW, Linguist BA (1993). Input/output analysis of the cumulative soybean response to phosphorus on an Ultisol. Field Crops Res. 34: 23-26.

Chan KY, Van Zwieten L, Meszaros I, Downie A, Joseph S (2007). Agronomic values of green-waste bio-char as soil amendment. Astral J. Soil Res. 45(8): 629-634.

DeLuca TH, MacKenzie MD, Gundale MJ, Holben WE (2006). Wildfire –produced charcoal directly influences nitrogen cycling in ponderosa pine forests. Soil Sci. Soc. Am. J. 70: 448-453.

Fox RL, Kang BT (1977). Exploiting the legume-rhizobium symbiosis in Tropical Agriculture. In: University of Hawaii Publication No. 145 (eds JM. Vincent, AS. Whitney, J Bose) pp. 183-210.

Garcia JM, Blancaver AT (1983). Effect of animal manure on the growth and yield of soybean and physical properties of the soil. J. Agric. Food Nutr. 4:196-212.

Gates CT, Muller WJ (1979). Nodule and plant development in the soybean: Growth response to nitrogen, phosphorus and sulfur. Aust. J Bot. 27: 203-215.

Glaser B, Lehmann J, Zech W (2002.). Ameliorating physical and chemical properties of highly weathered soils in the tropics with charcoal- a review. Biol. Fertil. Soils 35: 219-230.

Gundale MJ, DeLuca TH (2006). Temperature and source material influence ecological attributes of Ponderosa pine and Douglas-fir charcoal. For Ecol Manag 231: 86-93.

Hariston JE, Jones WF, Marshall LK, Gill KB (1990). Tillage and fertilizer management effects on soybean growth and yield on three Mississippi Soils. J Prod Agric 3: 317-323.

Ishii T, Kadoya K (1994). Effects of charcoal as a soil conditioner on citrus growth and vesicular-arbuscular mycorrhizal development. J. Jpn Soc. Hort. Sci. 63: 529-535.

Israel DW (1987). Investigation of the role of phosphorus in symbiotic nitrogen fixation. Plant Physiol 84:835-840.

Jassen BH (1998). Efficient use of nutrients: an art of balancing. Field Crops Res. 56: 197-201.

Jones GD, Lutz Jr. JA, Smith TJ (1977). Effects of phosphorus and potassium on soybean nodules and seed yield. Agron. J. 69:1003-1008.

Kang BT, Nangju D (1983). Phosphorus response to cowpea (Vigna unguiculata L. Walp). Trop. Grain Legume Bul. 27: 11-16.

Lamb JA, Rehm GW, Severson RK, Cymbaluk TE (1990). Impact of inoculation and use of fertilizer N on soybean production where growing seasons are short. J. Prod. Agric. 3: 241-245.

Lehmann J, Da Silva JP Jr, Steiner C, Nehls T, Zech W, Glaser B (2003). Nutrient availability and leaching in an archaeological Anthrosol and a Ferralsol of the Central Amazon basin: fertilizer, manure and charcoal amendments. Plant Soil 249: 343-357.

Lehmann J, Rondon M (2005). Bio-char soil management on highly-weathered soils in the humid tropics In: Biological Approaches to Sustainable Soil Systems (ed N Uphoff ), Boca Raton, CRC Press.

Leung K, Bottomley PJ (1987). Influence of phosphate on the growth

Page 362: Agricultural Applications for Pine-Based BioChar

774 Afr. J. Agric. Res. and nodulation characteristics of Rhizobium trifolii. Appl Environ.

Microbiol. 53: 2098-2105. Lucas RE, Davis JF (1961). Relationship between pH values of organic

soils and availabilities of 12 plant nutrients. Soil Sci 92: 177-182. Munns DN, Hohenberg JS, Righetti TL, Lauter DT (1981). Soil acidity

tolerance of symbiotic and nitrogen fertilized soybeans. Agron. J. 73: 407-410.

Murphy J, Riley JP (1962). A modified single solution method for the determination of phosphate in natural waters. Anal Chim. Acta, 27: 31-36.

Okeleye KA, Okelana MAO (1997). Effects of phosphorus fertilizer on nodulation, growth and yield of cowpea (Vigna unguiculata L. Walp) varieties. Indian J. Agric. Sci 67: 10-12.

Olivera M, Tejera N, Iribare C, Ocana A, Lluch C (2004). Growth, nitrogen fixation and ammonium assimilation in common bean (Phaseolus vulgaris L.): effect of phosphorus. Physiol. Plantarum 121:498-505.

Omueti JO, Oyenuga VA (1970). Effect of phosphorus fertilizer on the protein and essential components of groundnut and cowpea. West Afr. Biol. Appl. Chem. J 13:299-305.

Ortiz R (1998). Cowpea from Nigeria: a silent food revolution. Outl. Agric. 27: 125-128.

Popov V, Itoh H, Brebbia CA, Kungoles A (2004). Waste management and the environment II. WIT Press Beston.

Pereira PAA, Bliss FA (1987). Nitrogen fixation and plant growth of common bean (Phaseolus vulgaris L) at different levels of phosphorus availability. Plant Soil 104: 79-84.

Pereira PAA, Bliss FA (1989). Selection of common beans (Phaseolus vulgaris L.) for N2 fixation at different levels of available P under field and environmentally controlled conditions. Plant Soil 115:75-82.

Porter JR (1983). Variation in the relationship between nitrogen fixation, leghemoglobin, nodule numbers and plant biomass in alfalfa (Medicago sativa) caused by treatment with arsenate, heavy metals and fluoride. Physiol. Plantarum 57: 579-583.

Ribet J, Drevon JJ (1995). Increase in permeability to oxygen diffusion and in oxygen uptake of soybean nodules under limiting P nutrition. Physiol. Plantarum 94: 298-304.

Rondon MA, Lehmann J, Ramirez J, Hurtado M (2007). Biological nitrogen fixation by common beans (Phaseolus vulgaris L.) increases with bio-char additions. Biol. Fertil. Soils 43: 699-708.

Schmidt JP, Lamb JA, Schmitt MA, Randall GW, Orf JH, Gollany HT (2001). Soybean varietal response to liquid swine manure application. Agron J 93:358-363.

Sharpley AN, Smith SJ, Bain WR (1993). Nitrogen and phosphorus fate from long-term poultry manure application to Oklahoma soils. Soil Sci. Soc. Am. J. 57: 1131-1137.

Shinogi Y, Yoshida H, Koizumi T, Yamaoka M, Saito T (2003). Basic characteristics of low temperature carbon products from waste sludge. Adv. Environ. Res. 7: 661-665.

Singleton PW, Bohlool BB (1984). Effect of salinity on nodule formation by soybean. Plant Physiol 74: 72-76.

Sombroek W, Nachtergaele FO, Hebel A (1993). Amounts, dynamics

and sequestering of carbon in tropical and subtropical soils. Ambio. 22: 517-426.

Tagoe SO, Horiuchi T, Matsui T (2008). Effects of carbonized and dried chicken manures on the growth, yield and N content of soybean. Plant Soil 306: 211-220.

Tejada M, Hernandez MT, Garcia C (2006). Application of two organic amendments on soil restoration: effects on the soil biological properties. J. Environ. Qual. 35: 1010-1017.

Tenebe VA, Yusufu Y, Kaigama BK, Aseime IOE (1995). Effects of sources and levels of phosphorus on the growth and yield of cowpea variety. Trop. Sci. 35: 223-228.

Tryon EH (1948). Effect of charcoal on certain physical, chemical, and biological properties of forest soils. Ecol. Monogr. 18: 81-115.

Vadez V, Lasso JH, Beck DP, Drevon JJ (1999). Variability of N2-fixation in common beans (Phaseolus vulgaris L.) under P deficiency is related to P use efficiency. Euphytica 106: 231-242.

Vance CP (2001). Symbiotic nitrogen fixation and phosphorus acquisition: Plant nutrition in a world of declining renewable resources. Plant Physiol. 127: 390-397.

Waluyo SH, Lie TA, Mannetje L (2004). Effect of phosphate on nodule primordia of soybean (Glycine max) in acid soils in rhizotron experiments Indonesian J. Agric. Sci. 5:27-44.

Wan Othman WM, Lie TA, Mannetje L, Wassink GY (1991). Low level phosphorus supply affecting nodulation, N2-fixation and growth of cowpea (Vigna unguiculata L. Walp). Plant Soil 135: 67-74.

Warnock DD, Lehmann J, Kuyper TW, Rillig MC (2007). Mycorrhizal responses to bio-char in soil- concepts and mechanisms. Plant Soil 300: 9-20.

Wesley TL, Lamond RE, Martin VL, Duncan SR (1998). Effects of late-season nitrogen fixation on irrigated soybean yield and composition. J. Prod. Agric. 11: 331-336.

���

Page 363: Agricultural Applications for Pine-Based BioChar

© 2006 Japanese Society of Soil Science and Plant Nutrition

Soil Science and Plant Nutrition (2006) 52, 489–495 doi: 10.1111/j.1747-0765.2006.00065.x

Blackwell Publishing, Ltd.Effect of charcoal application on crop yieldM. Yamato et al.ORIGINAL ARTICLE

Effects of the application of charred bark of Acacia mangium on the yield of maize, cowpea and peanut, and soil chemical properties in South Sumatra, Indonesia

Masahide YAMATO1, Yasuyuki OKIMORI1, Irhas Fredy WIBOWO2, Saifuddin ANSHORI2 and Makoto OGAWA3

1Biological Environment Institute, Research and Development Department, The General Environmental Technos Company, Kyoto 611-0021, 3Osaka Institute of Technology, Osaka 535-8585, Japan; and 2Research and Development, PT Musi Hutan Persada, Jl. Residen H. Abdul Rozak 99, Palembang 30114 South Sumatra, Indonesia

Abstract

Charred bark of Acacia mangium (bark charcoal), which is made of wood waste from pulp production,was applied as soil amendment for the cultivation of maize, cowpea and peanut to examine its effects oncrop yield and soil chemical properties in South Sumatra, Indonesia. The yields of maize and peanut signifi-cantly increased after the application of bark charcoal under a fertilized condition in an infertile soilenvironment. In addition, increases in the root amount and colonization rate of arbuscular mycorrhizal(AM) fungi after bark charcoal application were also observed in maize. In general, the application of barkcharcoal induced changes in soil chemical properties by increasing the pH value, total N and available P2O5

contents, cation exchange capacity, amounts of exchangeable cations and base saturation, and by decreas-ing the content of exchangeable Al3+. The amelioration of the soil chemical properties could be effective inhighly weathered infertile tropical soils. The application of charcoal in agriculture is expected to lead tothe formation of a carbon sink in soil and to increase crop yield because it has been suggested that charcoalis highly resistant to abiotic and biotic degradation, even in a soil environment.

Key words: Arachis hypogaea L., arbuscular mycorrhizal fungi, bark charcoal, Vigna unguiculata L., Zea mays L.

INTRODUCTION

It is widely recognized that charcoal can be used as soilamendment in agriculture (Ogawa 1994). The effect ofcharcoal application on yield increases in soybean, pea,moong (Iswaran et al. 1980), sugarcane (Uddin et al.1994, 1995) and sweet potato (Islam et al. 2000) hasbeen reported. Igarashi (2002) reported that rice huskcharcoal application increased the yield of maize, soy-bean and peanut in Indonesia. Glaser et al. (2002) pointedout that the effects of charcoal can be attributed toincreases in soil pH and the contents of available nutri-ents, improvement of nutrient retention by increased

cation exchange capacity (CEC), and amelioration ofsoil physical properties such as soil water retention andaggregation.

In South-East Asia, industrial plantations of the fast-growing tree, Acacia mangium, have been promoted forpulp production, and a large amount of wood waste,mainly bark, is being discharged from pulp mills.

To effectively use the wood waste, Ogawa (1997)proposed a scheme to utilize charred wood waste as soilamendment in agriculture. Ogawa (1997) designatedthis scheme the “Carbon Sequestration by Forestationand Carbonization (CFC)” because a carbon sink couldbe formed in the soil and the wood waste could be usedeffectively. The feasibility of CFC has been examined byOkimori et al. (2003) in cooperation with PT MusiHutan Persada (MHP), an industrial plantation com-pany, and PT Tanjungenim Lestari Pulp and Paper(TELPP), a pulp production company, in SouthSumatra, Indonesia. To implement the CFC project, itwould be necessary to promote the utilization of bark

Correspondence: M. YAMATO, Biological EnvironmentInstitute, Research and Development Department, The GeneralEnvironmental Technos Company, 8-4 Ujimatafuri, Uji, Kyoto611-0021, Japan. Email: [email protected] 3 April 2006. Accepted for publication 14 March 2006.

Page 364: Agricultural Applications for Pine-Based BioChar

490 M. Yamato et al.

© 2006 Japanese Society of Soil Science and Plant Nutrition

charcoal. Although bark composts have been used assoil amendment in agriculture and horticulture, thereare few studies examining the application of barkcharcoal.

The purpose of the present study was to investigatethe effects of the application of bark charcoal ofA. mangium on the yield of maize, cowpea and peanutand its effect on the soil chemical properties. For maize,the effects on the root dry weight and colonizationrate of arbuscular mycorrhizal (AM) fungi were alsoexamined. In addition, the role of charcoal applicationin the formation of a carbon sink was considered.

MATERIALS AND METHODS

Experimental siteFor the experiment examining the application of barkcharcoal and agricultural crops, three types of farm-land, Sites A, B and C, were selected near the boundaryof the tree plantation of MHP. Site A was located in agarden of a farmhouse. Site B was located in a gardenreclaimed from a chicken farm. Site C was located in afarmland reclaimed from grassland. All the sites hadbeen newly reclaimed for the current experiment and nofertilizers had been applied previously.

CharcoalBark charcoal of A. mangium was produced in flat kilnsbuilt near the pulp mill. A flat kiln is a built-up brickfurnace with an open top for the continuous addition ofmaterials (Okimori et al. 2003). This method is oftenadopted to char powdered or granular materials such asbark and sawdust. The charring temperature was low,ranging from 260 to 360°C. The air-dried charcoal samplewas mixed with distilled water or 1 N 1 mol L−1 KCl ata ratio of 1:5 to determine the pH (H2O) and pH (KCl),respectively. The contents of total C and N were deter-mined by the dry combustion method using an NC-analyzer 1000, Sumigraph (Shimadzu A-6000, Kyoto,Japan). The sample, oven-dried at 105°C, was analyzedto determine the chemical properties as follows. Thedried sample was subjected to extraction with 0.1 N0.1 mol L−1 HCl and 0.03 N 0.03 mol L−1 ammoniumfluoride to determine the amount of available P2O5 (Bray 1),with 1 N 1 mol L−1 ammonia acetate to determine the CECand amounts of exchangeable cations (K+, Na+, Ca2+

and Mg2+), and with 1 N 1 mol L−1 KCl to determinethe exchangeable acidity (Al3+ and H+). All analyses,except for the total N and C contents, were carried outat the Soil Research Institute, Bogor, Indonesia.

Experimental designThe experiments were done twice in two different years,2003 (Experiment 1) and 2004 (Experiment 2).

Experiment 1: Effect on crop yieldIn this experiment, the effect of bark charcoal applica-tion on the yield of maize (Zea mays L.), cowpea (Vignaunguiculata [L.] Walp.) and peanut (Arachis hypogaeaL.) was examined at Sites A and B. Three treatments, noapplication (Con), application of chemical fertilizer 15-15-15 (BASF, Aktiengesellschaft, Germany) at 50 g m−2

(NPK), and application of the fertilizer at 50 g m−2 andbark charcoal at 10 L m−2 (Char-NPK), were conductedfor each crop. The amount of applied chemicalfertilizer, 50 g m−2, which was equivalent to 75 kg ha−1

of each component, was determined in a preliminaryexperiment because this amount was found to be effec-tive in the growth and production of cowpea undercharcoal application. For each treatment, three ridgesmeasuring 1 m × 2 m in size were prepared and theapplied chemical fertilizer and bark charcoal weremixed with topsoil at a depth of approximately 10 cm.For the experiment on maize, nine seed sowing posi-tions were prepared in the ridge at an inter-row spacingof 30 cm and an intra-row spacing of 50 cm. For eachposition, four seeds were sown, which were thinned totwo plants each after 2 weeks. Thus, 18 plants weregrown in total in each ridge. For the experiment oncowpea, six seed sowing positions were prepared ineach ridge at an inter-row spacing of 60 cm and anintra-row spacing of 60 cm. For each position, fiveseeds were sown, which were thinned to two plantseach after 2 weeks. Thus, 12 plants were grown in totalin each ridge. For the experiment on peanut, 28 seedsowing positions were prepared in each ridge at aninter-row spacing of 20 cm and an intra-row spacing of20 cm. For each position, three seeds were sown, whichwere thinned to one plant each after 2 weeks. Thus, 28plants were grown in total in each ridge.

The seeds were sown on 19 September 2003 atSite A and on 1 October 2003 at Site B. For cowpea,seedpods longer than 40 cm were harvested every 3 daysfor 1 month from day 60 after seed sowing. After3 months, pieces of corn with cob were harvested formaize, and seedpods were harvested for peanut. Thetotal fresh weight of the harvested crops was measuredin each ridge for each crop.

Experiment 2: Effects on yield, root amount and colonization rate of AM fungi in maizeThe effects of bark charcoal application on yield, rootamount and colonization rate of AM fungi in maize atSite C were examined. Four treatments, no application(Con), application of chemical fertilizer at 50 g m−2

(NPK), application of bark charcoal at 10 L m−2 (Char),and application of fertilizer at 50 g m−2 and barkcharcoal at 10 L m−2 (Char-NPK), were conducted. For

Page 365: Agricultural Applications for Pine-Based BioChar

Effect of charcoal application on crop yield 491

© 2006 Japanese Society of Soil Science and Plant Nutrition

each treatment, three ridges measuring 1 m × 2 m in sizewere prepared and the applied chemical fertilizer andbark charcoal were mixed with topsoil at a depth ofapproximately 10 cm. The number and size of the pre-pared ridges for each treatment, the method of applica-tion of the chemical fertilizer and bark charcoal, theseed sowing position and the number of plants were thesame as those described for maize in Experiment 1.

The seeds were sown on 12 September 2004. Thetotal fresh weight of harvested corn with cobs wasmeasured in each ridge at 3 months after seed sowing.At harvest, roots were collected from four samples ofcore topsoil (5 cm in diameter and 10 cm in depth) col-lected around the center of each ridge. The root samplesin each ridge were gathered to determine the dry weightand colonization rate of AM fungi. The colonizationrate of the AM fungi was determined for the randomlycollected fine roots using the grid-line intercept method(Giovannetti and Mosse 1980) after staining with a0.05% Trypan blue solution.

Soil analysesTopsoil samples, 10 cm in depth, were randomly collectedfrom 10 spots at each experimental site, Sites A, B andC, before the experiments and from three spots in each

ridge after harvest, which were mixed together at eachexperimental site or in each treatment.

For each of the collected soil samples, the chemicalproperties, pH (H2O), pH (KCl), amount of availableP2O5 (Bray 1), CEC, amounts of exchangeable cations(K+, Na+, Ca2+ and Mg2+) and exchangeable acidity(Al3+ and H+) were determined. The analytical methodswere the same as those described above for the charcoalsample. For the determination of the total N content(Kjeldahl), the samples, oven-dried at 105°C, weredecomposed in heated sulfuric acid and then distilledammonia was collected. All the analyses were carriedout at the Soil Research Institute, Bogor, Indonesia.

Statistical analysisFor the results on crop yield, root dry weight andcolonization rate of AM fungi, one-way anovas werecarried out to evaluate the difference between thetreatments.

RESULTS AND DISCUSSION

The yield of maize, cowpea and peanut at Sites A and Bis shown in Fig. 1. The yield of maize and peanut wassignificantly higher after the application of bark charcoal

Figure 1 Effect of the application ofchemical fertilizer 15-15-15 at 50 g m−2

(NPK) and bark charcoal at 10 L m−2

(Char) on the fresh weight (FW) ofharvested maize, cowpea and peanutcrops. Control (Con): no application.Values are means ± standard error(n = 3). Columns with the same letter(a, b and c) are not significantlydifferent (P < 0.05).

Page 366: Agricultural Applications for Pine-Based BioChar

492 M. Yamato et al.

© 2006 Japanese Society of Soil Science and Plant Nutrition

and fertilizer (Char-NPK) than after the application offertilizer only (NPK) at Site A. Particularly for maize, anapproximate twofold increase in yield was obtained bybark charcoal application. At Site B, the average yieldof cowpea and peanut in the different treatmentsshowed the same tendency as that at Site A, namely,Con < NPK < Char-NPK, although no significantdifference (P < 0.05) was observed. The yield of maize atSite C is shown in Fig. 2. The yield increased significantlyafter Char-NPK application. It was observed that thestandard errors for the means of yield among the repli-cates were smaller in the Char-NPK application than inthe application of other materials. This suggests that theyield after Char-NPK application was more stable thanthat after a single application of NPK or Char. As theamount of applied chemical fertilizer, 50 g m−2, whichwas equivalent to 75 kg ha−1 of each component, wasapproximately half of that of the standard fertilizerapplication in the region, it was expected that theamount of fertilizer applied could be reduced by theapplication of bark charcoal.

The applied bark charcoal displayed a neutral pH,high carbon content, high CEC and high content ofexchangeable cations, particularly Ca2+ (Table 1). Theamount of Ca2+ was higher than the CEC, whichindicates that free Ca2+ was included in bark charcoal.Glaser et al. (2000) suggested that the high CEC ofcharcoal resulted from slow oxidation on the edgesof the aromatic backbone of charcoal for the formation ofcarboxylic groups. Based on the contents of total N andavailable P in charcoal (Table 1), charcoal application,10 L m−2, was equivalent to a total N dose of 38.5 g m−2

and an available P dose of 0.23 g m−2, respectively. Alarge amount of total N, approximately fivefold as highas that applied using chemical fertilizer, was suppliedby charcoal application.

The results of the soil analysis are shown in Table 2.Before the experiments, the amounts of available P2O5

(Bray 1) and exchangeable cations and base saturationwere higher at Site B than at Sites A or C. The previouschicken farming activities probably influenced the fer-tility of the soil at Site B. Soil analysis at harvest revealed

Figure 2 Effects of the application of chemical fertilizer 15-15-15 at 50 g m−2 (NPK) and bark charcoal at 10 L m−2 (Char) on thefresh weight (FW) of harvested maize, root dry weight and the colonization rate of arbuscular mycorrhizal (AM) fungi in maize.Control (Con): no application. Values are means ± standard error (n = 3). Columns with the same letter (a, b and c) are notsignificantly different (P < 0.05).

Table 1 Properties of the applied bark charcoal

pH(H2O)

pH(KCl)

Total C(kg kg−1)

Total N(g kg−1)

AvailableP2O5

(mg kg−1)CEO

(cmolc kg−1)

Exchangeable cationsExchangeable

acidity (cmolc kg−1)Bulk

density(g cm−3)Ca2+ Mg2+ K+ Na+ Al3+ H+

7.4 7.1 0.398 10.4 63.1 37.14 48.82 2.78 4.03 1.85 0.01 0.08 0.37

Page 367: Agricultural Applications for Pine-Based BioChar

Effect of charcoal application on crop yield 493

© 2006 Japanese Society of Soil Science and Plant Nutrition

that the pH, contents of total N and available P2O5,CEC, contents of exchangeable cations and base satura-tion were generally higher after the application of barkcharcoal and fertilizer (Char-NPK) than after the applicationof fertilizer only (NPK). The high level of available P2O5

after Char-NPK application indicated that the applicationof bark charcoal led to a high retention of nutrients. Theincrease in base saturation as well as CEC showed thata large amount of exchangeable cations was introducedby bark charcoal application. These effects of charcoalapplication on soil chemical properties were also reported

by Tryon (1948). In contrast, the amount of exchange-able Al3+ markedly decreased after the application ofbark charcoal. Low pH, low base saturation, high Al3+

content and low fertility, which are typical characteris-tics of soils in the tropical region, lead to a low produc-tivity of crops in this region. Therefore, amelioration ofthe soil properties by bark charcoal application couldbe effective in increasing crop yield particularly in thetropical region. The effect of bark charcoal application oncrop yield was not significant at Site B, which indicatesthat the effect would not be appreciable on fertile soils.

Table 2 Soil chemical properties before the experiment and at harvest

Site and Treatments

pH(H2O)

pH(KCl)

Total N(g kg−1)

AvailableP2O5

(mg kg−1)CEC

(cmolc kg−1)

Exchangeable cations (cmolc kg−1)

Base saturation

(%)

Exchangeable acidity (cmolc kg−1)

Ca2+ Mg2+ K+ Na+ Al3+ H+

Site ABefore experiment 3.9 3.9 1.7 47.8 10.12 1.21 0.30 0.15 0.25 18.9 2.67 0.26At harvest

MaizeCon 4.0 3.8 1.7 22.0 9.87 0.80 0.20 0.12 0.22 13.6 2.93 0.20NPK 4.0 3.8 1.9 44.5 10.23 0.79 0.18 0.12 0.07 11.3 2.97 0.22Char-NPK 5.1 4.5 2.4 80.2 12.72 6.21 0.45 0.25 0.13 55.3 0.12 0.12

CowpeaCon 4.2 3.9 1.2 25.4 10.81 1.30 0.24 0.08 0.08 15.7 2.49 0.15NPK 4.1 3.9 1.8 44.0 10.66 1.01 0.28 0.12 0.02 13.4 2.81 0.15Char-NPK 5.3 4.8 1.6 91.8 16.42 7.80 0.43 0.29 0.14 52.7 0.02 0.12

PeanutCon 4.2 3.9 1.9 55.3 10.21 1.27 0.29 0.08 0.07 16.7 2.41 0.15NPK 4.0 3.9 1.8 137.5 10.01 0.91 0.22 0.10 0.03 12.6 2.77 0.20Char-NPK 5.1 4.6 2.5 176.0 12.66 5.98 0.37 0.18 0.07 52.1 0.15 0.10

Site BBefore experiment 4.7 4.1 2.0 210.1 11.77 4.05 1.04 0.40 0.25 48.8 0.48 0.20At harvest

MaizeCon 4.4 3.9 1.7 23.4 11.64 2.97 0.81 0.22 0.09 35.1 1.64 0.18NPK 4.4 3.9 2.1 113.2 12.76 3.11 0.73 0.22 0.13 32.8 1.44 0.19Char-NPK 5.6 5.1 2.4 126.6 15.42 9.32 0.82 0.31 0.13 68.6 0.00 0.02

CowpeaCon 5.2 4.6 1.9 75.3 11.93 3.77 1.35 0.41 0.13 47.4 0.04 0.11NPK 4.6 4.1 1.8 151.2 11.23 5.22 1.48 0.22 0.13 62.8 0.44 0.09Char-NPK 5.8 5.3 2.4 188.2 15.11 9.30 1.10 0.53 0.13 73.2 0.00 0.02

PeanutCon 4.6 4.1 2.0 302.9 12.31 4.56 1.39 0.59 0.13 54.2 0.26 0.15NPK 4.5 4.0 2.0 298.7 13.21 4.51 1.19 0.53 0.10 47.9 0.40 0.16Char-NPK 5.5 5.0 2.8 355.6 17.18 9.73 1.25 0.65 0.20 68.9 0.00 0.05

Site CBefore experiment 4.1 3.9 1.4 94.2 8.54 0.64 0.21 0.07 0.06 11.5 2.35 0.35At harvest

MaizeCon 4.5 3.9 1.3 108.1 8.85 0.79 0.27 0.07 0.06 13.4 2.31 0.31NPK 4.4 3.8 1.3 144.5 8.60 0.79 0.25 0.14 0.05 14.3 2.10 0.33Char 5.4 4.5 2.1 84.3 12.38 5.86 0.55 0.21 0.09 54.2 0.11 0.21Char-NPK 5.3 4.4 2.1 148.7 13.04 6.06 0.45 0.18 0.06 51.8 0.23 0.17

Page 368: Agricultural Applications for Pine-Based BioChar

494 M. Yamato et al.

© 2006 Japanese Society of Soil Science and Plant Nutrition

The effects on the root dry weight and colonizationrate of AM fungi of maize at Site C are shown in Fig. 2.The root amount significantly increased after the applic-ation of bark charcoal. Ishii and Kadoya (1994) alsoreported an increase in the root amount after the appli-cation of charcoal. Because it has been shown that char-coal application increases soil water retention (Piccoloet al. 1996) and the gaseous phase (Ezawa et al. 2002),such amelioration of the soil physical and chemicalproperties could be effective in enhancing root growth.The enhancement of root growth may account forthe stable crop production, as evidenced by the lowerstandard error in the application of bark charcoal(Figs 1,2), because enhanced root growth may reducethe effect of uneven soil conditions. The colonizationrate of AM fungi was highest in the case of barkcharcoal application without fertilizer (Fig. 2). A largenumber of studies on the effect of charcoal applicationon the enhancement of AM fungal colonization havebeen conducted (Ezawa et al. 2002; Ishii and Kadoya1994; Ogawa 1989; Saito 1990). Ogawa (1989, 1994)suggested that the porous structure of charcoal maycreate a favorable habitat for symbiotic microorganisms.Further studies on the microenvironment should becarried out to clarify the relationship between charcoalapplication and such symbiosis.

Based on calculations using the bulk density(0.37 g cm−3) and the carbon content (39.8%) of appliedbark charcoal, the application at 10 L m−2 was foundto be equivalent to a carbon dose of 1.47 kg m−2 (14.7Mg ha−1). The aromatic structure of charcoal is highlyresistant to abiotic and biotic degradation (Glaseret al. 2002; Schmidt et al. 1999). Shindo (1991) showedthat charred plant residues applied to volcanic ashsoil were hardly decomposed by microorganismseven after 40 weeks. In the Brazilian Amazon region,patchy distribution of black soil containing largeamounts of charred carbon, the so-called Terra Preta,was found. The soil environment is assumed to beanthropogenic probably because of charcoal productionin hearths by pre-Columbian Indios (Glaser et al.2002). The long persistence of charcoal carbon in soilenvironments was suggested by the presence of blackcarbon for 1000–2000 years in Terra Preta, as indicatedby 14C dating (Glaser et al. 2000, 2002).

In the present study, it was shown that bark charcoalapplication is effective in increasing the yield of cropsthrough the amelioration of the soil chemical propertiesand the creation of an appropriate environment forroot growth and AM fungal colonization. Consider-ing the long persistence of charcoal carbon in the soilenvironment, charcoal application in agriculturecould contribute to the formation of a carbon sink infarmlands.

ACKNOWLEDGMENTS

This study was financially supported by The KansaiElectric Power Company. We thank Mr Minoru Sugai forthe instructions for charcoal making and Mr NaohiroMatsui for his help in the analysis of charcoal carbon.

REFERENCESEzawa T, Yamamoto K, Yoshida S 2002: Enhancement of the

effectiveness of indigenous arbuscular mycorrhizal fungiby inorganic soil amendments. Soil Sci. Plant Nutr., 48,897–900.

Giovannetti M, Mosse B 1980: An evaluation of techniquesfor measuring vesicular-arbuscular mycorrhizal infectionin roots. New Phytol., 84, 489–500.

Glaser B, Balashov E, Haumaier L, Guggenberger G, Zech W2000: Black carbon in density fractions of anthropogenicsoils of the Brazilian Amazon region. Org. Geochem., 31,669–678.

Glaser B, Lehmann J, Zech W 2002: Ameliorating physical andchemical properties of highly weathered soils in the tropicswith charcoal – a review. Biol. Fertil. Soils, 35, 219–230.

Igarashi T 2002: Effectiveness of soil amendments like ricehusk charcoal. In Handbook for soil amendment of tropi-cal soil., Ed. Association for International Coopera-tion of Agriculture and Forestry., 127–134, Sozosha,Tokyo (in Japanese).

Ishii T, Kadoya K 1994: Effect of charcoal as a soil condi-tioner on citrus growth and vesicular-arbuscular mycor-rhizal development. J. Jpn. Soc. Hort. Sci., 63, 529–535.

Islam AFMS, Kitaya Y, Hirai H, Yanase M, Mori G, KiyotaM 2000: Effect of volume of rice husk charcoal massesinside soil ridges on growth of sweet potato in a wetlowland. J. Agric. Meteorol., 56, 1–9.

Iswaran V, Jauhri KS, Sen A 1980: Effect of charcoal, coal andpeat on the yield of moong, soybean and pea. Soil Biol.Biochem., 12, 191–192.

Ogawa M 1989: Inoculation methods of VAM fungi: charcoalball method and rice hull method. In Recent Advances inMicrobial Ecology, Eds T Hattori, Y Ishida, Y Maruyama,R Morita, A Uchida, pp. 247–252, Japan Scientific SocietiesPress, Tokyo.

Ogawa M 1994: Symbiosis of people and nature in the trop-ics. Farming Japan, 28, 10–34.

Ogawa M 1997: Charcoal-utilization of fixed carbon and itsreturn to environment. In Annual Research Report in1998 on Carbon-Sink Project Development, pp. 177–184, Japan International Forestry Promotion andCooperation Center (in Japanese).

Okimori Y, Ogawa M, Takahashi F 2003: Potential of CO2

emission reductions by carbonizing biomass waste fromindustrial tree plantation in South Sumatra, Indonesia.Mitiga. Adapta. Strate. Global Change, 8, 261–280.

Piccolo A, Pietramellara G, Mbagwu JSC 1996: Effects ofcoal-derived humic substances on water retention andstructural stability of Mediterranean soils. Soil UseManage, 12, 209–213.

Page 369: Agricultural Applications for Pine-Based BioChar

Effect of charcoal application on crop yield 495

© 2006 Japanese Society of Soil Science and Plant Nutrition

Saito M 1990: Charcoal as a micro-habitat for VA mycorrhizalfungi, and its practical implication. Agric. Ecosyst. Envi-ron., 29, 341–344.

Schmidt MWI, Skjemstad JO, Gehrt E, Kögel-Knabner I 1999:Charred organic carbon in German chernozemic soils.Euro. J. Soil Sci., 50, 351–365.

Shindo H 1991: Elementary composition, humus composition,and decomposition in soil of charred grassland plants.Soil Sci. Plant Nutr., 37, 651–657.

Tryon EH 1948: Effect of charcoal on certain physical, chemi-cal, and biological properties of forest soils. Ecol. Monogr.,18, 81–115.

Uddin SMM, Murayama S, Ishimine Y, Tsuzuki E 1994:Studies on sugarcane cultivation. 1. Effect of the mix-ture of charcoal with pyroligneous acid on cane andsugar yield of spring and ratoon crops of sugarcane(Saccharum officinarum L.). Jpn. J. Trop. Agr., 38, 281–285.

Uddin SMM, Murayama S, Ishimine Y, Tsuzuki E, Harada J1995: Studies on sugar cane cultivation II. Effect of themixture of charcoal with pyroligneous acid on dry matterproduction and root growth of summer planted sugar-cane (Saccharum officinarum L.) Jpn. J. Crop Sci., 64,747–753.

Page 370: Agricultural Applications for Pine-Based BioChar
Page 371: Agricultural Applications for Pine-Based BioChar
Page 372: Agricultural Applications for Pine-Based BioChar

Effects of Carbon-Based Soil Amendment (CSA) on Crop Yield of Irish Potato, Sweet Corn, Tomato and Bell Pepper

By Ronald Morse, Ph.D. Paul Stevens—Graduate Student Professor Emeritus, Vegetable Crops Department of Horticulture, VA Tech Department of Horticulture, VA Tech Blacksburg, VA 24061-0327 Blacksburg, VA 24061-0327 Summary This research evaluated preplant in-row application of CSA on crop yield of Irish potato, sweet corn, tomato and bell pepper at the Kentland Agricultural Research Farm, located near Blacksburg, VA. Overall, our data are encouraging, indicating that beneficial microorganisms (microbes) in CSA granules improved productivity of sweet corn (2006 and 2007) and tomato (2007). Based on limited data and observations, enhanced mineralization in the rhizosphere of CSA-treated sweet corn and tomato plants is at least partially responsible for increased uptake of nitrogen and improved crop yield. Apparently, placement in near proximity to sweet corn and tomato seed stimulated rapid rhizosphere development of microbial biomass and improved effectiveness of CSA. Crop yield of Irish potato and bell pepper was not affected by CSA. Distant placement of CSA (3-4 inches above the seed pieces in 2007) possibly accounted for lack of crop yield response with Irish potato. Reasons for lack of yield response of CSA to bell pepper are not know, since tomato and pepper transplants were treated the same throughout these experiments. Materials and Methods Description of field soil and treatments. In 2006 and 2007, all field plots were grown in an organic transition high-quality silt loam soil having a pH of 6.4, with medium to high levels of phosphorus, potassium, calcium and magnesium. Irish potato and sweet corn. The research field plots both years were divided into four replications (424 ft long and 24 ft wide), consisting of four raised beds (6 ft center to center, and 6 inches high). The top of each bed was approximately 42 inches wide, and the alleyways between beds (bed shoulders and bottoms) were 30 inches. In September preceding each year, two beds in each replication were seeded with forage radish (Raphanus sativus) and two beds to crimson clover (Trifolium incarnatum). Alleyways in all plots were seeded with cereal rye (Secale cereale). Forage radish was frost killed at approximately 20 F and crimson clover and rye over-wintered. In mid April, bed tops were flail mowed and the residues were shallow incorporated (2-3 inches deep) with a rototiller (Table 1). Biomass produced (and thus mineralizable nitrogen, N) of both cover crops was considerably less in 2006/2007 than 2005/2006. Although actual amounts of cover crop biomass and

PRODUCT RESEARCH - 06/07

Page 373: Agricultural Applications for Pine-Based BioChar

mineralizable N were not measured, the estimated quantity of plant-available N would be approximately 30 and 15 lb N/acre in 2006, compared to 10 and 5 lb N/acre in 2007, from crimson clover and forage radish, respectively. Because nitrogen availability was a major limiting factor both years, especially in 2007, these relatively small amounts of plant-available N would have contributed relatively little to improved crop yield. In mid April of 2006 (but not in 2007), before seeding Irish potato or sweet corn, all beds were fertilized using 800 lb/acre of Renaissance 8N-1P-5K organic fertilizer (composed of feather meal, bone meal, soybean and potassium sulfate). The organic fertilizer was precision placed in-row and incorporated to a depth of 5-6 inches deep in grow zones located 20-inches apart on top of the raised beds. Grow zones are the designated row areas on raised beds where vegetables were seeded. Growing Irish potato. Whole seed potatoes (Chieftain in 2006 and Kueka Gold in 2007) were cut into 2-oz seed pieces, treated with Oxidate for 5 minutes, stored for 1-2 weeks and planted by hand in 2006 and using a potato seeder in 2007 (Table 1). Seed pieces were set 10-12 inches apart and 5-6 inches deep in the two grow zones on each bed (212 ft long). In 2006, CSA granules (30 lb/acre) were applied before planting the seed pieces. CSA granules were hand applied to subplots (two beds, 76 ft long) in the grow zones and incorporated to a depth of 3-5 inches with a wheel hoe. In 2007, CSA granules (20 lb/acre) were applied (after planting potato seed pieces with the seed planter) in the grow zones and shallow incorporated (only 1-2 inches deep) with a hand hoe. Each year, the remaining row area (136 ft long) of each row was left untreated, of which the middle 60 ft was designated as a buffer zone separating the CSA-treated (+CSA, 76 ft) from the untreated (no CSA, 76 ft). Plots were irrigated and hand weeded as needed throughout the growing season. Stand counts were made and potato tubers were harvested in late September using a two-row potato digger. In 2007, each subplot was further divided into two equal sub-subplots (one 6-ft bed, 76 ft long, received 2 gallon of fish concentrate/acre and a second adjacent bed received no fish concentrate—i.e., control). Each sub-subplot was further divided into two equal sub-sub-subplots (one bed, 38 ft long) (one-half of each sub-subplot received 80 lb N/acre as a sidedress fertilizer and the other half received no sidedress fertilizer—i.e., control). Growing sweet corn. Sweet corn seed (Spring Treat in 2006 and Sugar Queen in 2007) was hand planted with and Earthway Seeder in the two grow zones (212 ft long and 20 inches apart) of the raised beds. Immediately before seeding in both years, CSA granules were applied to subplot in-row grow zones (76 ft long) of each bed. In 2006, CSA granules (20 lb/acre) were hand applied and incorporated to 1-2 deep with a wheel hoe. In 2007, CSA granules (30 lb/acre) were hand applied using the Earthway Seeder to a depth of 1-2 inches. The remaining area (136 ft) of each bed was left untreated, of which the middle 60 ft was designated as a buffer zone, separating the CSA-treated (+CSA, 76 ft) and the untreated (no CSA, 76 ft) sections. Plots were irrigated and hand weeded as needed throughout the growing season. Stand counts were made and sweet corn ears were harvested by hand (Table 1). In 2007, subplots were further divided into sub-subplots and sub-sub-subplots, as described above for Irish potato. Nitrogen sidedressing (2006). Two weeks after immergence, potato plants in untreated subplots (no CSA) were sidedressed by hand at the rate of 60 lb N/acre (20 lb N from sodium nitrate and 40 lb N from feather meal). Plants in the CSA-treated (+CSA) were not sidedressed. Five weeks after planting, sweet corn plants of both +CSA and no-CSA subplots were divided into three sub-subplots (25 ft long) and were sidedressed by hand at three rates of nitrogen fertilizer (0, 50 and 100 lb N/acre, from a mixture of sodium nitrate and feather meal).

Page 374: Agricultural Applications for Pine-Based BioChar

Tomato and bell pepper (2007). In two separate experiments, tomato (Mountain Fresh) and bell pepper (Aristotle) were grown on small plastic covered plots (24 ft wide and 72 ft long). The experimental design was a randomized split block, with four replications. Main plots were transplant-growing mixes: McEnroe Lite (ML—an organic potting mix) and Metro Mix 360 (MM—an inorganic potting mix). Subplots were addition of CSA granules to the growing mixes (1 cup CSA granules/5 gallons of growing mix): untreated control (no CSA) and CSA-treated (+CSA—granules were thoroughly blended in the growing mixes). Seeds of tomato or bell pepper were placed into 72-cell trays containing either untreated or CSA-treated ML or MM growing mixes, and grown to maturity (about 7 weeks for tomato and 9 weeks for bell pepper). At maturity, the tomato and bell pepper transplants were set by hand in previously established raised beds covered with black plastic mulch. A starter solution consisting of hydrolyzed fish concentrate (2 gallons/acre) was applied with water (200 gallon/acre) as a liquid drench around the base of each transplant in all treatments. To avoid contamination, untreated (no CSA) and CSA-treated subplots were separated by 150 ft. A cereal rye/hairy vetch (R/HV) cover crop biculture was seeded in the tomato/bell pepper field site in early October of 2006. Before laying off raised beds and applying black plastic mulch, the R/HV cover crop was flail mowed and incorporated using a disk plow. No fertilizer was applied at planting or during the growing season for either tomato or bell pepper; however, the incorporated R/HV residues would have provided approximately 40-60 lb N/acre. Results and Discussion Effects of CSA on marketable crop yield. Marketable crop yield was highest in CSA-treated plots for sweet corn (2006 and 2007) and tomato (2007). Application of CSA had no crop yield effects for Irish potato and bell pepper (Table 2). Why different yield responses to CSA occurred for tomato (17% increased fruit yield) and bell pepper (no response) is unknown, since both crops were treated identically throughout the duration of the experiments. In-row placement of CSA granules was distinctly different for Irish potato and sweet corn and could possibly account for different yield responses to application of CSA. Granules of CSA were placed in close proximity to sweet corn seed in both 2006 and 2007; however, in 2007, shallow incorporation of CSA granules and deep placement of potato seed pieces (5-6 inches below the soil surface) resulted in relatively reduced CSA-seed contact with potato, compared to sweet corn. In 2006, CSA-seed contact was adequate; however, yield response to application of CSA granules was confounded, because the untreated control (no CSA) potato plants were sidedressed with 60 lb N/acre, while the CSA-treated plants were not sidedressed. How (what mechanisms) CSA improves crop yield is mere speculation. Perhaps, CSA microbes (at proper concentration, placement and timing) can improve absorption of plant-available soil moisture, and/or improve rate of mineralization (release of plant-available N). Drip irrigation was applied uniformly across all plots both years; hence, we have no evidence that improved water absorption contributed to improved crop yield in CSA-treated plots. On the other hand, enhanced mineralization could have accounted for the increase crop yields, as evidence by the potato data for 2006. Potato tuber yield in 2006 was nearly identical in CSA-treated and untreated (no CSA) plots, although the untreated plants received 60 lb N/acre as a fertilizer sidedressing, while CSA-treated plants were not sidedressed. Since the soils in our experimental sites were nitrogen deficient, these data indicate that more plant-available N was released (mineralized) in CSA-treated than untreated plots.

Page 375: Agricultural Applications for Pine-Based BioChar

Effect of growing mixes and CSA on marketable fruit yield of tomato. An interaction occurred between potting mixes used for growing tomato transplants and application of CSA granules. Tomato transplants grown in the inorganic Metro Mix 360 (MM) out yielded plants grown in the organic McEnroe Lite (ML) by 6%; however, when CSA granules were added to the potting mixes, tomato transplants grown in MM out yielded ML by 16% (Table 3). Apparently, proliferation of beneficial microbes was uninhibited in the more “sterile” CSA-treated MM, while microbial competition possibly reduced buildup of beneficial microbes in CSA-treated ML. The result was a 22% tomato yield increase in CSA-treated MM (vs. untreated), compared to only a 12% yield increase in CSA-treated ML (Table 3). Effect of CSA on growth of tomato and bell pepper transplants. Application of CSA granules to MM and ML potting mixes (priming) enhanced growth rate and size of both tomato and bell pepper. Although not measured, transplant size at time of field setting was approximately 15-25% larger. Enhancement in growth response to CSA priming appeared to be greater for tomato than bell pepper. The potential of CSA priming to shorten the time required to produce marketable transplants and subsequent increased marketable fruit yield merits further research. (Refer to the 2006 report). Effect of cover crops on marketable yield of Irish potato and sweet corn. There was no yield response to cover crops in 2007 (data not shown). No yield response is highly predictable, since growth of cover crops was severely curtailed because of delayed seeding, drought and poor plant stands. Refer to the 2006 report for discussion of the cover crop effects on crop yield in 2006, when growth of cover crops was excellent. Effect of N sidedressing and liquid fish concentrate on marketable yield of Irish potato and sweet corn in 2007. In accordance with the agreed-upon protocol, no preplant fertilizer was applied in 2007. Therefore, since the soil at the research sites is relatively low in plant-available N and little cover crop biomass was produced, these unfertilized plots showed a dramatic yield response to N sidedressing (80 lb N/acre) for both Irish potato and sweet corn (Table 4), and even showed a slight response to in-row application of liquid fish concentrate for Irish potato (Table 5). Table 1. Dates of important cultural practices. Cultural practice 2006 2007 Seeded cover crops Sept. 6 (05) Sept. 18 (06) Applied preplant fertilizer Mid April ------ Planted Irish potato April 19 May 9 Planted Sweet corn June 13 May 31 Transplanted tomato and bell pepper ------ June 11 Applied nitrogen sidedressing—Irish potato* May 24 June 13 Applied nitrogen sidedressing—sweet corn July 18 July 2 *Only untreated (no CSA) potato plants were sidedressed (60 lb N/acre) in 2006.

Page 376: Agricultural Applications for Pine-Based BioChar

Table 2. Effect of application of CSA on marketable organic crop yield. 2006 2007

Vegetable Yield (cwt/acre) Yield (cwt/acre) Crop No CSA CSA Sign. No CSA CSA Sign. Irish potato 189* 183 ns 88 82 ns Sweet corn 93 107 .05 61 67 .10 Tomato ---- ---- ---- 634 740 .10 Bell pepper ---- ---- ---- 352 357 ns *In 2006, untreated (no CSA) potato plots received 60 lb N/acre as a sidedressing; CSA-treated potato plots were not sidedressed. Cwt = hundred weight units (100 lb); ns = not statistically significant at p = .10 Table 3. Effect of priming growing mixes with CSA on marketable organic crop yield, 2007. Growing mix Yield (cwt/acre) Difference (cwt/acre) No CSA CSA Avg. CSA- no CSA (%) Tomato ML = McEnroe Lite 615 687 651 +72 +12 MM = Metro Mix 360 653 794 724 +141 +22 Avg. 634 740 ---- +106 +17 Difference: MM-ML +38 +107 +73 ---- ---- (%) +6 +16 +11 ---- ---- Bell Pepper ML = McEnroe Lite 366 368 367 +2 0 MM =Metro Mix 360 339 346 342 +7 +2 Avg. 352 357 ---- +5 +1 Difference: MM-ML -27 -22 -25 ---- ---- (%) -7 -6 -6 ---- ---- CSA = Carbon Based Soil Amendment; cwt = hundred weight units (100 lb); Avg. = average; CSA-no CSA = CSA minus no CSA; MM-ML = MM minus ML.

Page 377: Agricultural Applications for Pine-Based BioChar

Table 4. Effect of nitrogen fertilizer sidedressing on marketable organic crop yield of Irish potato and sweet corn.

2006 2007

Vegetable N rate Yield N rate Yield Crop (lb/acre) (cwt/acre) (lb/acre) (cwt/acre) Irish potato ----- ----- 0 73 ----- ----- 80 98 Sign. .001 Sweet corn 0 102 0 31 50 98 80 96 100 100 Sign. .001 Sign. ns Cwt = hundred weight units (100 lb); ns = not statistically significant at p = .05. Table 5. Effect of liquid fish concentrate applied in row at planting on marketable organic crop yield of Irish potato and sweet corn, 2007. Liquid fish Yield (cwt/acre) (Gallons/acre) Irish potato Sweet corn 0 80 61 2 91 66 Significance .05 ns Cwt = hundredweight units (100 lb); ns = not statistically significant at p = .05.

Page 378: Agricultural Applications for Pine-Based BioChar

Biochar, climate change and soil: A review to guide future research

Saran Sohi1, Elisa Lopez-Capel2, Evelyn Krull3 and Roland Bol4

Corresponding author and editor: Evelyn Krull CSIRO Land and Water Science Report 05/09 February 2009

Page 379: Agricultural Applications for Pine-Based BioChar

CSIRO Land and Water Science Report series ISSN: 1834-6618

Copyright and Disclaimer © 2008 CSIRO To the extent permitted by law, all rights are reserved and no part of this publication covered by copyright may be reproduced or copied in any form or by any means except with the written permission of CSIRO.

Important Disclaimer: CSIRO advises that the information contained in this publication comprises general statements based on scientific research. The reader is advised and needs to be aware that such information may be incomplete or unable to be used in any specific situation. No reliance or actions must therefore be made on that information without seeking prior expert professional, scientific and technical advice. To the extent permitted by law, CSIRO (including its employees and consultants) excludes all liability to any person for any consequences, including but not limited to all losses, damages, costs, expenses and any other compensation, arising directly or indirectly from using this publication (in part or in whole) and any information or material contained in it.

Citation: Sohi, S1.Loez-Capel, E2., Krull, E3., Bol, R4., 2009. Biochar's roles in soil and climate change: A review of research needs. CSIRO Land and Water Science Report 05/09, 64 pp..

1Centre for Bioenergy and Climate Change, Rothamsted Research, Harpenden, AL5 2JQ, UK; now at UK Biochar Research Centre, School of Geosciences, University of Edinburgh, UK, Email: [email protected] 2School of Civil Engineering and Geosciences, University of Newcastle, Newcastle uponTyne, NE1 7RU, UK, Email: [email protected] 3CSIRO Land and Water, PMB2, Glen Osmond SA 5064, Australia, Email: [email protected] 4Biogeochemistry of Soils and Water group, North Wyke Research, UK, Okehampton, EX20 2SB, UK, Email: [email protected]

Cover Photographs: Cover photo 1 Fragments of biochar 0.2-0.5mm diameter comprising willow stems carbonised at 600 C. Source: Saran Sohi

Cover photo 2 Scanning electron micrograph of biochar formed from rubber tree stems at 800 C in a 200kW gasification plant in rural Cambodia. Source: Simon Shackley and Erik Middelink

© 2008 CSIRO

Page 380: Agricultural Applications for Pine-Based BioChar

iii

ACKNOWLEDGEMENTS

The preparation of this report was funded by the CSIRO Land and Water Opportunity Development Fund.

Rothamsted Research and North Wyke Research received grant-aided support from the Biotechnology and Biological Sciences Research Council (BBSRC) in the UK. Rothamsted Research is an Institute of the UK Biotechnology and Biological Sciences Research Council.

Newcastle University receives grant-aided support from the Engineering and Physical Sciences Research Council (EPSRC) in the UK.

Keith Goulding (Manager of the Cross-Institute Programme for Sustainable Soil Function Department of Soil Science, Rothamsted Research), Peter Hairsine (Leader, Science Development CSIRO Land and Water) and Mike Grundy (Theme Leader, Managing Australia’s Soil & Landscape Assets. CSIRO Land and Water) provided helpful reviews and comments that improved the final version of the report.

Page 381: Agricultural Applications for Pine-Based BioChar

iv

EXECUTIVE SUMMARY Biochar is the charred by-product of biomass pyrolysis, the heating of plant-derived material in the absence of oxygen in order to capture combustible gases. The objective of this report was to review and evaluate published studies with regard to what evidence and arguments currently exist that assess the application of biochar to soil to a) sequester carbon and b) produce secondary agronomic benefits. Current analyses suggest that there is global potential for annual sequestration of atmospheric CO2 at the billion-tonne scale (109 t yr-1) within 30 years. So far, however, the underlying published evidence arises mainly from small-scale studies that do not currently support generalisation to all locations and all types of biochar. From the available published and peer-reviewed literature the following general findings can be made for eight key questions. It is noted that for each of these key questions there remains major research questions that require the attention of researchers. This summary provides these outstanding research issues along side the major findings. 1. Is all biochar the same? Key chemical and physical properties of biochar are greatly affected both by choice of

feedstock (crop waste, energy crop, wood chip, municipal waste, manure, etc.) and process conditions (mainly temperature and time). These properties affect the interactions biochar has within the environment of its application as well as its fate. A rapid screening technique that provides the means for biochar products to be compared or matched to a particular use does not currently exist.

2. How stable is it? Studies of charcoal from natural fire and ancient anthropogenic activity indicate

millennial-scale stability. However, it is difficult to establish the half-life of modern biochar products using short experiments due to the presence of small amounts of labile components, partial oxidation and biotic or abiotic surface reactions. At the moment there is no established method to artificially-age biochar and assess likely long-term trajectories.

3. Is it safe to use? Analysis of a limited number of biochar samples has indicated concentrations of toxic

combustion products such as polycyclic aromatic hydrocarbons that are not at environmental risk level. However, a more systematic evaluation for a more complete range of other potentially harmful chemical contaminants associated with combustion, as well as toxic substances within feedstocks, has not been made. An environmental risk assessment that includes the impacts of these on terrestrial or aquatic ecosystems is outstanding. Given the stability of biochar, safe rates of applications need to be determined for individual soil types to avoid possible detrimental effects due to over-application (e.g. reduction in soil productivity).

4. What are the agronomic benefits? Currently, a large number of studies have been conducted where biochar application has

shown significant agronomic benefits with a minor number of studies showing no significant effects of biochar application on crop productivity and some studies reporting adverse effects. This suggests that the extent of the effect of biochar on crop productivity is variable, due to the different bio-physical interactions and processes that occur when biochar is applied to soil, which are not yet fully understood.. There is a need for models to allow extrapolation of location-specific findings by accounting for mechanistic effects of geographic variations in soil type, climate, cropping and pyrolysis feedstock.

5. Is it economically viable? The economic value of sequestered carbon will be determined within complex carbon

markets that are influenced by energy supplies and demand, the supply and demand for

Page 382: Agricultural Applications for Pine-Based BioChar

v

low emissions technologies, the availability of alternative carbon sequestration technologies and global policy responses to climate change. The growing price of waste disposal is likely to make the production and application of biochar for electricity and waste management economically viable. Carbon offsets will have a greater role once biochar is certified under the Clean Development Mechanism (CDM) of the Kyoto Protocol. Uncertainty over market interventions may risk the investment in energy facilities that are able to produce biochar.

6. What are the environmental and societal benefits? Models exist for viable agronomic use of biochar (without energy capture) in subsistence

agriculture. However, relevant technological innovation is required to deal with environmental issues such as smoke production from traditional char production and associated health risks. Socio-economic constraints are not adequately researched. Higher crop yields resulting from biochar applications would be expected to mitigate pressures on land and would also have relevance to land restoration and remediation. Other environmental benefits of biochar application may lie in its application to rehabilitate contaminated wetlands and as a means to assist in managing (avoiding) algal blooms in aquatic ecosystems through adsorption of nutrients.

7. Are the benefits of biochar in mitigating greenhouse gases widely accepted? It is generally accepted that biochar is a highly stable form of carbon and as such has the potential to form an effective C sink, therefore sequestering atmospheric CO2. Several projects are currently underway assessing/monitoring greenhouse gas emissions in fields amended with biochar in USA, Colombia, Kenya and Australia (<http://www.css.cornell.edu/faculty/lehmann/research/biochar/biocharproject.html>). While biochar surpasses other biological forms of C with regard to its stability, estimates on the mean turnover time of biochar in soil vary from hundreds to thousands to tens of thousands of years. The mitigation potential of biochar with regard to other greenhouse gases, such as N2O and CH4, through its application to soil is less well established and requires further research.

8. What are the research gaps and future challenges?

Biochar performance Currently, the predictive capacity for biochar ‘performance’ does not exist and how to best optimise the multiple useful characteristics as a function of feedstock has not been assessed. This is currently inhibiting the realisation and application of this technology.

Interaction of biochar with soil microbial communities and plants The physical, biological and chemical processes that biochar may exert on microbial communities and their symbiotic interaction with plants, and possibly enhanced nutrient use efficiency, are not yet understood. The apparent contradiction between the high stability of biochar, soil organic matter accumulation and apparent enhancement of soil microbial activity needs to be resolved. Research in Japan and in Germany has indicated that biochar can complex the carbon from dead micro-organisms. Further research work is required to determine under what conditions this complexation takes place.

Cation exchange capacity (CEC) While the CEC of fresh char itself is not very high, biochar that has resided in soil for hundreds of years has been shown to have much higher CECs, comparable to those of zeolites. However, several studies have reported an increase in soil CEC after the application of fresh biochar. Thus, the processes that are instrumental in developing CEC over time as well as the effects that lead to an increase in CEC by addition of fresh (low CEC) biochar require detailed understanding.

Page 383: Agricultural Applications for Pine-Based BioChar

vi

Water holding capacity and aggregate stability While some studies report positive effects of biochar application on water-holding capacity, the specific mechanism that biochar exerts on water retention, macro-aggregation and soil stability are poorly understood – yet should be of critical importance in climate change adaptation, where mitigating drought, nutrient loss and erosion are critical.

Erosion, transport and fate The loss of biochar through vertical or lateral flow is not quantified, and only recently have studies been initiated to examine movement through soil profiles and into waterways. These processes complicate the task of confining the range of current estimates (from hundreds of years to millennia) of the mean residence time of biochar in soil. Long-term monitoring research stations (analogous to the Waite permanent rotation trial in Australia or the Rothamsted long-term experiments in the UK) are required to adequately assess the long-term stability and dynamics of biochar in soil.

Decreased emissions of non-CO2 greenhouse gases (e.g. N2O and CH4) The currently available data on the effect of biochar additions on trace gas emission is very limited, but has a potentially great impact on the net benefit of biochar application. Development of cost effective means of measuring decreased emissions will ensure this potentially large greenhouse saving can be compliant with emissions trading schemes.

Soil carbon modelling Modelling of the linked carbon and nitrogen cycles in soil with and without application of biochar is essential to understanding the fundamental mechanisms referred to above and the impact on soil-based emissions of greenhouse gases.

Project specific Life Cycle Assessment (LCA) The total environmental life-cycle assessment has been conducted for some biochar case studies. Greenhouse balances, for example, are very project specific and hence there is opportunity to assess the benefits over a large range of feedstock, process and biochar application scenarios.

Page 384: Agricultural Applications for Pine-Based BioChar

vii

CONTENTS

1. Introduction ......................................................................................................... 1 2. Biochar ................................................................................................................. 2

2.1. What is biochar? ....................................................................................................... 2 2.1.1. Why and how is biochar made?.............................................................................3 2.1.2. Biochar feedstocks ................................................................................................5 2.1.3. Biochar production systems ..................................................................................6 2.1.3.1. Slow pyrolysis........................................................................................................7 2.1.3.2. Fast pyrolysis.........................................................................................................8 2.1.3.3. Intermediate pyrolysis............................................................................................9 2.1.3.4. Carbonisation ........................................................................................................9 2.1.3.5. Gasification............................................................................................................9 2.1.3.6. Production of ammonia during pyrolysis..............................................................10

2.2. Biogeochemical characterisation of biochar ........................................................... 10 2.2.1. The purpose of biogeochemical characterisation ................................................10 2.2.2. Physical and chemical characterisation...............................................................11 2.2.3. Quantification of biochar and char .......................................................................13 2.2.4. Background and biochar history: from terra preta to terra nova...........................14

3. Biochar application in Agriculture................................................................... 16 3.1. Biochar and climate change ................................................................................... 16

3.1.1. Soil organic matter and climate change...............................................................17 3.1.2. Carbon stabilisation and sequestration using biochar .........................................19 3.1.3. Combined bioenergy and biochar production ......................................................20 3.1.4. Evaluation of biochar systems.............................................................................21 3.1.5. Stability of biochar in soil .....................................................................................21 3.1.5.1. Stability of biochar in natural systems .................................................................22 3.1.5.2. Influence of biochar feedstock on stability ...........................................................23 3.1.5.3. Climatic effects on biochar mineralisation ...........................................................23 3.1.5.4. Soil biological activity and the stability of biochar ................................................24 3.1.5.5. Effects of biochar on ease of tillage and mechanical disturbance .......................24 3.1.6. Indirect impacts of biochar on CO2-equivalent emissions....................................25 3.1.6.1. Indirect effects of yield benefits and nutrient requirement ...................................25 3.1.6.2. Impact of biochar on nitrous oxide emission from soil .........................................26 3.1.6.3. Impact of biochar on methane emission from soil................................................27 3.1.6.4. Biological activity and stabilisation of soil organic matter ....................................27 3.1.6.5. Effects of biochar on tillage and irrigation requirements ......................................28 3.1.7. Biochar scenarios for agriculture .........................................................................28 3.1.8. Notes on the natural cycling of char in soil ..........................................................31

3.2. Biochar, crop productivity and resource management ........................................... 32 3.2.1. Soil fertility ...........................................................................................................32 3.2.2. Crop yield ............................................................................................................33 3.2.3. Soil moisture retention.........................................................................................35 3.2.4. Nutrient retention and use-efficiency ...................................................................35 3.2.5. Use of biochar to manage water quality ..............................................................37 3.2.6. Potential risks to soil and water from use of biochar............................................37

4. Policy context and Analysis............................................................................. 38 4.1. A framework to evaluate applications of biochar .................................................... 38 4.2. Scenarios for the uptake of biochar for use in soil.................................................. 38 4.3. Market intervention and carbon trading .................................................................. 39 4.4. Market acceptability issues..................................................................................... 40 4.5. Research................................................................................................................. 41

Page 385: Agricultural Applications for Pine-Based BioChar

viii

5. Research Priorities and Future Challenges.................................................... 41 5.1. Fundamental mechanisms...................................................................................... 42 5.2. Properties, qualities and environmental risk assessment....................................... 43 5.3. Carbon cycle modelling .......................................................................................... 44 5.4. Beneficiaries ........................................................................................................... 44 5.5. Commentary on likely barriers to the adoption of a large scale enterprises utilising

Biochar.................................................................................................................... 45 References .................................................................................................................. 46

TABLE OF FIGURES

Figure 1. Biochar as a C sequestration tool

Figure 2. Summary of pyrolysis processes

Figure 3. Illustrative slow pyrolysis process

Figure 4. Schematic process diagram for fast pyrolysis

Figure 5. Simplified flow chart of how biomass releases energy as it captures CO2 as ammonium carbonate

Figure 6. Scanning electron microscope image of biochar from pelletised peanut shell

Figure 7. Components of black carbon assessed by available quantification methods

Figure 8. Comparison of profiles of terra preta and adjacent soils

Figure 9. The key physical (purple arrows), natural (orange arrows) and anthropogenic (red arrows) interactions of biochar in the environment

Figure 10. Scenario for multi-feedstock production of biochar, and multi-application use, emphasising the spatial context

TABLE OF TABLES

Table 1. Fate of initial feedstock mass between products of pyrolysis processes

Table 2. Reported elemental composition for a range of bio-oil and biochar products

Table 3. Properties of biochar from bagasse carbonisation

Table 4. Physico-chemical properties of terra preta and adjacent soils

Table 5. Summary of experiments assessing the impact of biochar addition on crop yield

Page 386: Agricultural Applications for Pine-Based BioChar

1

1. INTRODUCTION

Periodic fire across Australian landscapes results in a natural process of carbon (C) sequestration from atmosphere to soil by the conversion of biomass to charcoal. The extent of this process has recently been quantified for Australia (Lehmann, 2009). There are increasing calls to mirror and enhance this process by the concerted use of ‘biochar’, a form of charcoal produced with the simultaneous production and capture of bio-energy which is then applied to the soil. A measure of the need and interest for a concerted effort in this area has been the evolution of an organised consortium, known as the International Biochar Initiative (IBI) (<www.biochar-international.org>).

The inspiration for the supplementation of soil with charcoal stems from observations made in the ancient agricultural management practices that created terra preta, deep black soils. These soils, found throughout the Brazilian Amazon, are characterised by high levels of soil fertility compared with soils where no organic C addition occurred (Harder, 2006; Marris, 2006; Lehmann, 2007a; Renner, 2007). The evident value of the terra preta led to the suggestion that investment into biochar and application to agricultural soil may be both economically viable and beneficial. Rising fossil fuel prices, the need to raise yields in light of the global food crisis, and the emergence of a significant global market for trading carbon appear to promise added economic incentives in the future.

At the same time the need to protect soils under an increasingly uncertain climate makes the apparent ability of biochar to increase the capacity for soil to absorb and store water vitally important. It also appears that adding biochar to soil may be one of the only ways by which the fundamental capacity of soils to store and sequester organic matter could be increased.

There are a number of detailed reviews describing charcoal formation (Knicker, 2007) and associated C dynamics (Preston et al., 2006; Czimczik et al., 2007), including its role in the global carbon cycle (Schmidt et al., 2000). Forthcoming is a compendium of review articles (“Biochar for Environmental Management: Science and Technology”), which will place existing studies in the context of pyrolysis bioenergy (Lehmann and Joseph, 2009b ).

A number of studies have now highlighted the net benefit of using biochar in terms of mitigating global warming and as an active strategy to manage soil health and productivity (Figure 1) (Lehmann, 2007a; Lehmann, 2007b; Lehman et al., 2005; Ogawa et al., 2006; Laird, 2008; Mathews, 2008; Woolf, 2008). However, relatively few studies exist that make a quantitative assessment of biochar-based soil management scenarios with regard to greenhouse gas, energy, and economic perspectives (Fowles, 2007; Gaunt et al., 2008). Nonetheless, the concept and value of biochar production and application is gradually incorporated by policy makers and governments (Winsley, 2007).

Current studies are in many cases conceptually or geographically limited, and are often constrained by limited experimental data. In particular, mechanistic descriptions of the characteristics of biochar and its function in the soil and experimentation relevant to wide-scale applications of biochar are currently limited. In this report we examine existing published research within a framework constrained by a policy context. Thereby, we aim to identify gaps where new research should be focused in a way that will enable biochar to engage with climate change mitigation and to maintain soil productivity.

Page 387: Agricultural Applications for Pine-Based BioChar

2

2. BIOCHAR

2.1. What is biochar?

Biochar is a fine-grained and porous substance, similar in its appearance to charcoal produced by natural burning. Biochar is produced by the combustion of biomass under oxygen-limited conditions. The definition adopted by the International Biochar Initiative (IBI) furthermore specifies the need for purposeful application of the material to soil for agricultural and environmental gain.

The term biochar was originally associated with a specific type of production, known as ‘slow pyrolysis’. In this type of pyrolysis, oxygen is absent, heating rates are relatively slow, and peak temperatures relatively low (Section 2.1.3.1). However, the term biochar has since been extended to products of short duration pyrolysis at higher temperatures known as ‘fast pyrolysis’ (Section 2.1.3.2) and novel techniques such as microwave conversion.

It is important to note that there is a wide variety of char products produced industrially. For applications such as activated carbon, char may be produced at high temperature, under long heating times and with controlled supply of oxygen. In contrast, basic techniques for manufacture of charcoal (such as clay kilns) tend to function at a lower temperature, and reaction does not proceed under tightly controlled conditions. Traditional charcoal production should be more accurately described as 'carbonisation' (Section 2.1.3.4), which involves smothering of biomass with soil prior to ignition or combustion of biomass whilst wet. Drying and roasting biomass at even lower temperatures is known as ‘torrefaction’ (Arias et al., 2008).

A charred material is also formed during 'gasification' of biomass, which involves thermal conversion at very high temperature (800°C) and in the partial presence of oxygen (Section 2.1.3.5). This process is designed to maximise the production of synthesis gas (‘syngas’). Materials produced by torrefaction and gasification differ from biochar in physico-chemical properties, such as particle pore size and heating value (Prins et al., 2006) and have industrial applications, such as production of chemicals (methanol, ammonia, urea) rather than agricultural applications.

In order to differentiate biochar from charcoal formed in natural fire, activated carbon, and other black carbon materials, the following list of terms aims to better define the different products. The differences, however, are relatively subtle since all products are obtained from the heating of carbon-rich material.

Figure 1. Biochar can result in a net removal of carbon from the atmosphere, especially with enhanced net primary productivity

Fossil fuel Bioenergy Bioenergy withbiochar to soil

fossil carbon

pyrolysiscombustion

soil carbon biochar

combustion

atmospheric carbon dioxide

Fossil fuel Bioenergy Bioenergy withbiochar to soil

fossil carbon

pyrolysiscombustion

soil carbon biochar

combustion

atmospheric carbon dioxide

Page 388: Agricultural Applications for Pine-Based BioChar

3

• Char: the solid product arising from thermal decomposition of any natural or synthetic organic material. Examples are char from forest fire and soot resulting from the incomplete combustion of fossil hydrocarbon.

• Charcoal: produced from the thermal decomposition of wood and related organic materials, mainly for use as an urban fuel for heating and cooking, but also traditional uses as soil amendment or control of odour (Okimori et al., 2003). Temperatures in traditional kilns approach 450-500°C, which is similar to that of industrial pyrolysis but with lower yields: conversion of feedstock dry mass may be as low as 10 % compared to 35% using more formal production technology. Also, all heat as well as gaseous and liquid co-products are lost during the combustion process.

• Activated carbon: manufactured by heating carbonaceous material at a high temperature (above 500°C) and over long (>10 hours) periods of time. The resulting material is characterised by a very high adsorptive capacity. It is not used as a soil amendment but has been applied for cleansing processes, such as water filtration and adsorption of gas, liquid or solid contaminants (Tomaszewski et al., 2007).

• Black carbon: a general term that encompasses diverse and ubiquitous forms of refractory organic matter that originate from incomplete combustion (Baldock et al., 2002). The diversity of burning conditions results in black carbon occupying a continuum of material. The review by Schmidt (1999) provides a thorough account of the ‘black carbon’ continuum, its constituents and definitions.

Biochar from pyrolysis and conventional charcoal and char share key characteristics which are related to carbon sequestration (long residence time) and soil fertility (soil conditioning effect). This is important since there is currently a much greater amount of research for char (Glaser et al., 2002) than for biochar. Biochar produced in association with bioenergy generation may be more applicable in some countries than others, depending on economic circumstance, political priorities, technology and infrastructure.

The central quality of biochar and char that makes it attractive as a soil amendment is its highly porous structure, potentially responsible for improved water retention and increased soil surface area. Addition of biochar to soil has also been associated with increased nutrient use efficiency, either through nutrients contained in biochar or through physico-chemical processes that allow better utilisation of soil-inherent or fertiliser-derived nutrients. Importantly, it is the apparent biological and chemical stability that allows biochar to both act as a carbon sink, as well as provide benefits to soil that are long-lived.

Using pyrolysis to turn sustainably produced biomass into a recalcitrant substance that is decomposed at a much slower rate, constitutes both a tool for carbon sequestration and avoided emission. It is argued that sequestration of carbon in biochar allows for a much longer storage time compared with other terrestrial sequestration strategies, such as afforestation (Schulze et al., 2000). The stability and carbon sequestration potential of biochar in soil is examined in Section 3.1.2.

2.1.1. Why and how is biochar made?

Modern industrial bioenergy systems involve pyrolysis and gasification, the heating of a biomass feedstock under controlled conditions to produce combustible synthesis gas (‘syngas’), and oil (‘bio-oil’) that can be burnt to produce heat, power, or combined heat and power. Biochar, the third combustible product produced in pyrolysis, is the solid charred and carbon-rich residue.

The balance in energy release and biochar formation can be optimised. Effectively, it is a ‘combustion’ process that may be curtailed at a point where any desired ratio in these products has been achieved. This ratio can then be adjusted and re-optimised to satisfy changing objectives. Whereas simple combustion of a feedstock maximises energy yield per unit mass, combusting syngas from pyrolysis gives – where optimised for biochar – a much greater energy yield per unit of carbon release.

Page 389: Agricultural Applications for Pine-Based BioChar

4

If incorporating biochar into soil can reliably deliver the environmental benefits outlined in 3.1.2, the carbon-equivalent saving resulting from conversion of biomass using pyrolysis can be increased further, relative to the production of energy only (i.e. combustion).

Globally, there is an estimated 15x109 ha of cropland (Ramankutty et al., 2008). On the basis of calculations by Gaunt (2008), the application of biochar once every ten years to this land area would result in a CO2 -equivalent gain of 0.65 GtC yr-1.

Figure 2. Summary of pyrolysis processes in relation to their common feedstocks, typical products, and the applications and uses of these products

Pyrolysis has a requirement for initial energy, in the same way as in straight combustion some heat in the flame is used to initiate combustion of new feedstock. But the relative requirements must be carefully compared, together with any difference between pyrolysis and alternative bioenergy technologies in the energy requirement of feedstock transportation and drying.

The potential advantage of pyrolysis-derived bioenergy over other bioenergy strategies in terms of greenhouse gas emissions results not only solely from the retention of up to 50% of the feedstock carbon in stable biochar, but from indirect savings that may result from the use of biochar in agriculture, specifically the soil (Gaunt et al., 2008).

Biomass pyrolysis and gasification are well established technologies for the production of biofuels and syngas. However, commercial exploitation of biochar by-products as a soil amendments is still in its infancy. In Japan, which has the largest market for such products, approximately 15 000 t yr-1 is traded annually for soil use (Okimori et al., 2003). More usually biochar products are gasified for extraction of residual energy, or used in production of high value products such as activated carbon (Demirbas et al., 2006b).

The pyrolysis process greatly affects the qualities of biochar and its potential value to agriculture in terms of agronomic performance or in carbon sequestration. The process and process parameters, principally temperature and furnace residence time, are particularly important; however, the process and process conditions also interact with feedstock type in determining the nature of the product.

FEEDSTOCKS PROCESS PRODUCT USES and APPLICATIONS

Biomass energy crops (corn, cereals, wood pellets, palm oil, oilseed rape)

Bioenergy residues “cake”

Agricultural waste (wheat straw, hazelnut and peanut shells, waste wood, etc)

Compost (green waste)

Manure/ animal waste (chicken)

Kitchen waste plastic, food, etc

Sewage sludge

Fast pyrolysis(anhydrous)

Slow pyrolysis(low temp. 450-550°C, O2-free,

some-times steam)

Slow pyrolysis(high temp. 600-900°C, O2-free)

Gasification (high temp., fast heating rate., O2 present)

Fermentation, anaerobic digestion

and mechanical bio-treatment

Synthesis gasBio-oil liquidBiochar solid

Syngas

- Heat- Fuel (combusted to generate electricity or converted to syngas)- High value biochemicals used as food additives or pharmaceuticals- Soil conditioners / fertilisers

ActivatedBiochar

Biochar

Carbonisation (‘brown’ at 300°C, ‘black’ at 380°C) Charcoal

- Fuel (for electricity or cooking)- Bi-products (wood spirits, wood tar) - Substitute for coal-derived coke in metal smelting

- Extreme porosity and surface area- Water filtration and adsorption of contaminants (gas, liquid or solid)

- Soil amendment (neutral / alkaline pH, porosity retains water, cation exchange capacity: robust benefits to plant growth compared to high-temp char) -Fuel (cooking and heat)

Combustible ethane, methane

Biochar - Fuel (low yield, high reactivity) - Contamination of some feedstocks(e.g. metal and plastic in kitchen waste) may preclude use of sludge / char in soil

Methane andsludge

ethanol

FEEDSTOCKS PROCESS PRODUCT USES and APPLICATIONS

Biomass energy crops (corn, cereals, wood pellets, palm oil, oilseed rape)

Bioenergy residues “cake”

Agricultural waste (wheat straw, hazelnut and peanut shells, waste wood, etc)

Compost (green waste)

Manure/ animal waste (chicken)

Kitchen waste plastic, food, etc

Sewage sludge

Fast pyrolysis(anhydrous)

Slow pyrolysis(low temp. 450-550°C, O2 -free,

sometimes steam)

Slow pyrolysis(high temp. 600-900°C, O2-free)

Gasification (high temp., fast heating rate, O 2 present)

Fermentation, anaerobic digestion

and mechanical bio-treatment

Synthesis gasBio-oil liquidBiochar solid

Syngas

- Heat- Fuel (combusted to generate electricity or converted to syngas)- High value biochemicals used as food additives or pharmaceuticals- Soil conditioners / fertilisers

ActivatedBiochar

Biochar

Carbonisation (‘brown’ at 300°C, ‘black’ at 380°C) Charcoal

- Fuel (for electricity or cooking)- By-products (wood spirits, wood tar) - Substitute for coal-derived coke inmetal smelting

- Extreme porosity and surface area- Water filtration and adsorption of contaminants (gas, liquid or solid)

- Soil amendment (neutral / alkaline pH, porosity retains water, cation exchange capacity: robust benefits to plant growth compared to high-temp char)- Fuel (cooking and heat)

Combustible ethane, methane

Biochar - Fuel (low yield, high reactivity) - Contamination of some feedstocks(e.g. metal and plastic in kitchen waste) may preclude use of sludge / char in soil

Methane andsludge

Ethanol

FEEDSTOCKS PROCESS PRODUCT USES and APPLICATIONS

Biomass energy crops (corn, cereals, wood pellets, palm oil, oilseed rape)

Bioenergy residues “cake”

Agricultural waste (wheat straw, hazelnut and peanut shells, waste wood, etc)

Compost (green waste)

Manure/ animal waste (chicken)

Kitchen waste plastic, food, etc

Sewage sludge

Fast pyrolysis(anhydrous)

Slow pyrolysis(low temp. 450-550°C, O2-free,

some-times steam)

Slow pyrolysis(high temp. 600-900°C, O2-free)

Gasification (high temp., fast heating rate., O2 present)

Fermentation, anaerobic digestion

and mechanical bio-treatment

Synthesis gasBio-oil liquidBiochar solid

Syngas

- Heat- Fuel (combusted to generate electricity or converted to syngas)- High value biochemicals used as food additives or pharmaceuticals- Soil conditioners / fertilisers

ActivatedBiochar

Biochar

Carbonisation (‘brown’ at 300°C, ‘black’ at 380°C) Charcoal

- Fuel (for electricity or cooking)- Bi-products (wood spirits, wood tar) - Substitute for coal-derived coke in metal smelting

- Extreme porosity and surface area- Water filtration and adsorption of contaminants (gas, liquid or solid)

- Soil amendment (neutral / alkaline pH, porosity retains water, cation exchange capacity: robust benefits to plant growth compared to high-temp char) -Fuel (cooking and heat)

Combustible ethane, methane

Biochar - Fuel (low yield, high reactivity) - Contamination of some feedstocks(e.g. metal and plastic in kitchen waste) may preclude use of sludge / char in soil

Methane andsludge

ethanol

FEEDSTOCKS PROCESS PRODUCT USES and APPLICATIONS

Biomass energy crops (corn, cereals, wood pellets, palm oil, oilseed rape)

Bioenergy residues “cake”

Agricultural waste (wheat straw, hazelnut and peanut shells, waste wood, etc)

Compost (green waste)

Manure/ animal waste (chicken)

Kitchen waste plastic, food, etc

Sewage sludge

Fast pyrolysis(anhydrous)

Slow pyrolysis(low temp. 450-550°C, O2 -free,

sometimes steam)

Slow pyrolysis(high temp. 600-900°C, O2-free)

Gasification (high temp., fast heating rate, O 2 present)

Fermentation, anaerobic digestion

and mechanical bio-treatment

Synthesis gasBio-oil liquidBiochar solid

Syngas

- Heat- Fuel (combusted to generate electricity or converted to syngas)- High value biochemicals used as food additives or pharmaceuticals- Soil conditioners / fertilisers

ActivatedBiochar

Biochar

Carbonisation (‘brown’ at 300°C, ‘black’ at 380°C) Charcoal

- Fuel (for electricity or cooking)- By-products (wood spirits, wood tar) - Substitute for coal-derived coke inmetal smelting

- Extreme porosity and surface area- Water filtration and adsorption of contaminants (gas, liquid or solid)

- Soil amendment (neutral / alkaline pH, porosity retains water, cation exchange capacity: robust benefits to plant growth compared to high-temp char)- Fuel (cooking and heat)

Combustible ethane, methane

Biochar - Fuel (low yield, high reactivity) - Contamination of some feedstocks(e.g. metal and plastic in kitchen waste) may preclude use of sludge / char in soil

Methane andsludge

Ethanol

Page 390: Agricultural Applications for Pine-Based BioChar

5

These variables together are key influences on the chemical, biological and physical properties, which limit the potential use for biochar products. A summary of feedstock, production processes and products is illustrated in Figure 2. The assignment of feedstock to process in Figure 2 is based on examples from the literature and does not indicate that they should be an exclusive classification.

Each category of pyrolysis process is characterised by a contrasting balance between biochar, bio-oil and syngas (Table 1). The precise ratio in these products may vary between plants, and may be optimised at a particular installation; however, it is critical that maximising the production of biochar relative to mass of initial feedstock (Demirbas, 2006), is always at the expense of usable energy in the liquid or gaseous form. Although a greenhouse gas mitigation strategy may favour maximising the biochar product (Gaunt et al., 2008), the balance that is realised is a function of market and engineering constraints.

In a generalised analysis, the economic cost of maximising the retention of carbon in biochar using slow pyrolysis has been assessed against the possible net gain in CO2 –equivalent emissions from using the product in soil, after accounting for the additional fossil-carbon offset that could be obtained through complete combustion of the feedstock (Gaunt et al., 2008). The net carbon gain over fossil fuel scenarios was 2–19 t CO2 ha-1 y-1, encompassing figures 2–5 times higher than those for strategies based on biomass combustion. The eligible portion of this added saving would have to attract CO2 -offset at a value sufficient to cover the USD 47 t-1 value of residual energy in biochar. A more detailed description of this analysis and discussion of the competing processes associated with energy and char production is discussed in detail in Chapter 3. Table 1. Fate of initial feedstock mass between products of pyrolysis processes (IEA, 2007)

Process Liquid (bio-oil)

Solid (biochar)

Gas (syngas)

FAST PYROLYSIS Moderate temperature (~500 °C) Short hot vapour residence time (<2s)

75% (25% water) 12% 13%

INTERMEDIATE PYROLYSIS Low-moderate temperature, Moderate hot vapour residence time

50% (50% water) 25% 25%

SLOW PYROLYSIS Low-moderate temperature, Long residence time

30% (70% water) 35% 35%

GASIFICATION high temperature (>800 °C) Long vapour residence time

5% tar 5% water 10% 85%

2.1.2. Biochar feedstocks

Although current results suggest that the type of feedstock used for pyrolysis is more important where biochar is to be applied as a soil conditioner (Section 3.2.) there is little consensus as to what constitutes optimal feedstock for energy production.

This is mainly due to the fact that the number of existing commercial plants is small, and that these plants are dedicated to specific waste streams, giving little incentive to experiment with this parameter. However, some research-scale pyrolysis plants have conducted experiments with a wider range of feedstocks (Day et al., 2005; Das et al., 2008; Gaunt et al., 2008).

Feedstocks currently used at a commercial-scale or in research facilities include wood chip and wood pellets, tree bark, crop residues (including straw, nut shells and rice hulls), switch grass, organic wastes including distillers grain, bagasse from the sugarcane industry and

Page 391: Agricultural Applications for Pine-Based BioChar

6

olive waste (Yaman, 2004), chicken litter (Das et al., 2008), dairy manure, sewage sludge (Shinogi et al., 2002) and paper sludge.

The elemental ratios of carbon, oxygen and hydrogen are key feedstock parameters in commercial use and the quality of fuel products (Friedl et al., 2005). The feedstocks which are favoured for bio-oil and fuel-gas are those that have low mineral and N content. These include wood and biomass from energy crops, including short-rotation woody plants (such as willow), high productivity grasses (such as Miscanthus spp.), and a range of other herbaceous plants. They may also include abundant, available and low-cost agricultural by-products, including cereal straw.

The proportions of hemi-cellulose, cellulose and lignin content determine the ratios of volatile carbon (in bio-oil and gas) and stabilised carbon (biochar) in pyrolysis products. Feedstocks with high lignin content produce the highest biochar yields when pyrolysed at moderate temperatures (approx. 500 °C) (Fushimi et al., 2003; Demirbas, 2006). In the future, selection of feedstock may be dictated by the desired balance between pyrolysis products (gas, oil and biochar), and whether the production process is slow pyrolysis, or a related process.

Charring of agricultural waste products such as nut shells and rice hulls for energy production may be advantageous compared to disposal as waste by some other means (Demirbas, 2006; Demirbas et al., 2006a). Alternative use for such materials includes composting and mulching. However, it is important to recognise that continuous removal of crop residues from the same land compromises soil cover and diminishes soil nutrient supply. This is further discussed in Chapter 3.

2.1.3. Biochar production systems Biochar is a multi-process product whose qualities are dependent on each process and also the material to which the process is applied. Since the technology is still in a period of development and not yet optimised to producing a product for use in soil, it is useful to review the various technologies currently in use. The processes of slow- and fast-pyrolysis are exemplified in Figure 3 and 4 and discussed in the subsequent sections.

Page 392: Agricultural Applications for Pine-Based BioChar

7

Figure 3. Illustrative slow pyrolysis process (Source: BEST Energies)

Figure 4. Schematic process diagram for fast pyrolysis (modified from Bridgewater (2006))

2.1.3.1. Slow pyrolysis

Slow pyrolysis is the thermal conversion of biomass by slow heating at low to medium temperatures (450 to 650°C) in the absence of oxygen, with the simultaneous capture of syngas. Feedstocks in the form of dried biomass pellets or chips of various particle sizes are fed into a heated furnace and exposed to uniform heating, generally through the use of internal or external heating as retort furnace or kilns, respectively. Conventional production conditions have been summarised by Peacocke and Joseph in <http://www.biochar-international.org/images/Terminology.doc> :

• residence times: >5 seconds for the production of syngas; minutes, hours or days for biochar production

• relatively low reactor temperatures (450-650°C) • reactor operating at atmospheric pressure • very low heating rates, ranging from 0.01–2.0°C s-1 • very short thermal quenching rate for pyrolysis products: minutes to hours.

PyrolysisFluid bed

CFBTransported bed

Rotating coneEntrained flow

AblativeEtc.

Biomass Grindingto < 3mm

Dryingto < 10% water

Gas

Bio-oil

Char

cool andcollect

Charseparation

PyrolysisFluid bed

CFBTransported bed

Rotating coneEntrained flow

AblativeEtc.

Biomass Grindingto < 3mm

Dryingto < 10% water

Gas

Bio-oil

Char

cool andcollect

Charseparation

Page 393: Agricultural Applications for Pine-Based BioChar

8

Several commercial facilities generate syngas and biochar using a continuous flow system in which feedstock passes slowly through a kiln in an auger feed, with combustible syngas continuously drawn away.

Biochar, bio-oil and syngas are formed in approximately equal proportions due to the slow speed of the combustion process, which promotes extensive secondary reactions within biochar particles and in the gas and vapour phases, leading to condensation.

The pyrolysis reaction itself is mildly endothermic, with the bulk of energy capture being in the form of the syngas and bio-oil condensates. The biochar has a residual energy content of about 30–35MJ kg-1 (Ryu, 2007), and conventionally this is extracted within the plant by burning or gasification, providing heat to drive the primary pyrolysis (Demirbas, 2006), or to dry incoming feedstocks. The syngas product may be combusted on site to generate heat or electricity (via gas or steam turbine), or both.

A variant of slow pyrolysis includes a steam gasification step, a technology developed by Eprida in collaboration with the University of Georgia (<http://www.eprida.com/hydro/>). Adding steam to the pyrolysis reaction liberates additional syngas from the biochar product, mainly in the form of hydrogen. The biochar that remains after this ‘secondary’ pyrolysis displays rather different properties from the primary product, differing in pore size and carbon to oxygen ratio (Demirbas, 2004).

Syngas can be purified through a sequence of operations to yield pure streams of the constituent gases: hydrogen (50% of gas yield), carbon dioxide (30%), nitrogen (15%), methane (5%), and lower molecular weight hydrocarbons, as well as some carbon monoxide (Day et al., 2005). There is a small energy penalty associated with these steps.

Slow pyrolysis research plants currently process feedstock at a rate of 28–300 kg hr-1 on a dry mass basis, and commercial plants operate at 48–96 t d-1. Comparing the efficiency of pyrolysis plants is complex since the mix and use of products vary, and the composition and heat value of syngas differs. Feedstock quality and moisture content is also variable, and there is a conversion loss in the generation of electrical power through steam or gas turbines. 2.1.3.2. Fast pyrolysis

Very rapid feedstock heating leads to a much greater proportion of bio-oil and less biochar (Table 1). It was with the objective of achieving this high yield of liquid fuel that fast pyrolysis technology was developed.

The time taken to reach peak temperature of the endothermic process (the ‘resistance time’) is approximately one or two seconds, rather than minutes or hours as is the case with slow pyrolysis. The lower operating temperature also enhances the overall conversion efficiency of the process relative to slow pyrolysis.

Maintaining a low feedstock moisture content of around 10% and using a fine particle size of <2mm permits rapid transference of energy despite relatively moderate peak temperatures of around 450°C (and in the range 350 to 500°C). In many systems the transfer is further increased by mechanically enhancing feedstock contact with the heat source or maximising heat source surface area. Various technologies have been used and proposed or tested including: fixed beds, augers, ablative methods, rotating cones, fluidized beds and circulating fluidized beds. Surface charring must be continuously removed during reaction to prevent pyrolysis of particle interiors being inhibited by its insulating effect.

Bio-oil is condensed from the syngas stream under rapid cooling, with the combustion of syngas providing the pyrolysis process heat. The bio-oil is a low grade product with a calorific value, on a volume basis, approximately 55% that of regular diesel fuel. It is unsuitable as a mainstream liquid transport fuel even after refining, and is most suitable as a fuel-oil substitute. It is considered to have an advantage over typical fuel oils in zero SOx and low NOx emission on combustion (Bridgewater, 2004). In addition to combustion for electricity generation, bio-oil may be converted to syngas for production of clean fuels (gasification).

Page 394: Agricultural Applications for Pine-Based BioChar

9

Bio-oil also contains high value bio-chemicals of relevance to food and pharmaceutical industries.

The biochar product of fast pyrolysis is granular and displays a lower calorific value (23–32 MJ kg-1) than that of slow pyrolysis (Demirbas, 2001). However, there are currently no published studies to assess the effects of biochar from fast pyrolysis when it is applied to soil. It is highly likely that condensed volatiles will be present in the product and that this will affect its performance and desirability.

2.1.3.3. Intermediate pyrolysis

This term describes a hybrid technology under evaluation at Aston University, UK, designed to produce bio-oil with very low tar content, with perceived potential for use as a motor fuel. The process has been tested with woody and non-woody feedstocks, and produces biochar in greater quantity and of contrasting quality as compared to fast pyrolysis.

2.1.3.4. Carbonisation

Carbonisation describes a number of pyrolysis processes that most closely resemble traditional, basic methods of charcoal manufacture, and which produce biochar of the highest carbon content. The auto-thermal carbonisation process is the small-scale method widely used in rural communities around the world (FAO, 1987). The second requires fossil fuel to provide an external heat source, and is associated with industrial, mass production of charcoal (FAO, 1985). The process is optimised for the solid products of pyrolysis, but condensed gases provide an industrial product known as ‘wood vinegar’, which as well as providing the basis for food flavouring ingredients, is considered to have a fertiliser value to plants.

The auto-thermal process as the most realistic option has been proposed for the participation of local communities in using biochar to build soil fertility, especially in developing countries. It is lower cost, and easier and simpler than pyrolysis systems where ratios of solid, liquid and syngas products have to be optimised. A comparison of three alternative options has recently been investigated for the carbonisation of biomass wastes from tree plantations: a drum kiln, a Hume pipe kiln, and a brick kiln (Okimori et al., 2003; Ogawa et al., 2006). For wood, 24% of wood mass was converted to biochar of 76% carbon content at 400 to 500°C, but carbonisation at 600°C gave 28% biochar with a higher carbon content of 89%. The 50% of feedstock carbon stabilised in each case was similar to the maximum yield obtained in slow pyrolysis.

Brazil has the largest concentration of industrial charcoal manufacture. This is associated with the pig-iron (smelting) industry, where substitution of charcoal for fossil-derived coke has been achieved in a number of very large projects under the Clean Development Mechanism, and associated with large-scale plantations of eucalypt.

2.1.3.5. Gasification

Gasification is the process by which any carbonaceous material (coal and petroleum as well as biomass) is substantially converted into a stream of carbon monoxide and hydrogen in a high temperature reaction and controlled-oxygen environment, sometimes at high pressures of 15–50 bars (Bridgewater, 2006). The gas mixture is the key energy output and the gasification process has an application as a clean waste disposal technique (Bapat et al., 1998). In slow pyrolysis facilities, gasification is often used to generate further syngas from biochar ‘waste’.

Syngas may be used for electricity generation via gas or steam turbines (or both), used to manufacture chemicals and fertilisers, or further cleaned for use as liquid fuel. Since conversion of feedstock to syngas is often the main objective, the process is maximised for gas production and so the biochar yield from gasification tends to be very low (Table 1). However, this also carries the risk of higher levels of metals and minerals that may be

Page 395: Agricultural Applications for Pine-Based BioChar

10

concentrated in biochar, with potential safety implications with regard to application to soil (Fernandes et al., 2003a). Although biochar from gasification has a high calorific value (Demirbas, 2006; Demirbas et al., 2006a), it has high value use as the basis for activated carbon production. Its potential to act as the carrier in a slow nutrient release fertiliser product has also been noted (Ueno, 2007).

Worldwide, gasification has been used on a commercial scale worldwide for more than 50 years, mainly in the refining, fertiliser, and chemical industries, and for more than 35 years in the electric power industry. There are more than 140 gasification plants currently in operation, with worldwide gasification capacity projected to grow 70% by 2015, with 80% of this growth occurring in Asia (Anon, 2008). The majority of gasification plants produce chemicals, mainly methanol or ammonia and urea, and use coal or refuse-derived feedstocks (Kedco, 2008). However, biomass feedstocks are also used, for example wood pellets, wood chips or paper and sugar cane bagasse (Ueno et al., 2007), and rural gasification projects are expanding.

2.1.3.6. Production of ammonia during pyrolysis

In the Haber-Bosch process, a fossil hydrogen source (usually methane) is used to fix atmospheric nitrogen and create ammonia for manufacture of fertiliser. Hydrogen in syngas streams from pyrolysis (7-8% of slow pyrolysis syngas) can substitute methane and be used, potentially not only to create ammonia but, if conducted on the same site as the pyrolysis, fix ammonia to a biochar co-product. This offers the prospect of a crop fertiliser that simultaneously adds stabilised carbon to soil, possibly with slow release characteristics. This could offer greater net benefit in terms of CO2 -equivalents than using syngas to, for example, generate electricity. The process of fixing ammonia from the hydrogen syngas stream at atmospheric pressure and ambient temperature has been demonstrated (Day et al., 2005) and is illustrated diagrammatically in Figure 5. However, agronomic evaluation of the product has not been published and the concept has not yet been commercialised.

Figure 5. Simplified flow chart of how biomass releases energy as it captures CO2 as ammonium carbonate (modified from Day et al., 2005 )

2.2. Biogeochemical characterisation of biochar

2.2.1. The purpose of biogeochemical characterisation

Although commercial biochar products are being developed for use in soil, credit for carbon storage will require predictable levels of stability and the ability to verify actual rates of degradation through quantitative soil analysis (Ogawa et al., 2006; Matthews, 2008). Identifying the characteristics that determine the stability of biochar will enable its properties to be optimised and standardised in production. Techniques to unambiguously detect and

Page 396: Agricultural Applications for Pine-Based BioChar

11

measure its abundance in soil are necessary to verify its application and to trace the fate of particular biochar products.

Biogeochemical characterisation techniques may also help understand the function of biochar products in soil at the process level. With specific knowledge of the nature of biochar-driven processes in the soil, predictive capacity for the longevity and reactions of biochar in soil that will determine its value as a soil carbon sink and soil conditioner are possible.

From a practical point of view it is important that the methods devised enable biochar characteristics to be determined sufficiently rapidly and inexpensively to permit widespread application and use.

2.2.2. Physical and chemical characterisation

Kuwagaki (1990) proposed that seven properties should be measured for a quality assessment for agronomically-used biochar: pH, volatile compound content, ash content, water holding capacity, bulk density, pore volume, and specific surface area.

Feedstock is a primary factor governing the chemical and physical properties of biochar. The elemental composition reported for a range of bio-oil and biochar products from various feedstocks are compared in Table 2.

Table 2. Reported elemental composition for a range of bio-oil and biochar products (% dry ash-free mass)

Elemental composition (%) Product C H N O

HHV* (MJ/kg)

Beech-trunk bark biochar 87.9 2.9 0.6 10.6 33.2

Beech-trunk bark bio-oil 68.8 8.9 0.8 21.5 34.6

Rapeseed cake biochar 66.6 2.5 6.1 24.3 30.7

Rapeseed cake bio-oil 73.9 10.8 4.7 10.6 36.5

Wood bark biochar 85.0 2.8 – 12.2 30.8

Wood bark bio-oil 64.0 7.6 – 28.4 31.0

Cotton stalk biochar 72.2 1.2 – 26.6 21.4

Cotton stalk bio-oil 59.7 7.8 1.8 30.6 26.0

Bio-char from hazelnut shell 95.6 1.3 – 3.1 32.0 Sunflower bio-oil 72.1 9.8 5.2 12.9 36.2

*HHV= higher heating value (enthalpy of complete combustion of a fuel including the condensation enthalpy of former water); Demirbas et al.,(2004)

In general, the carbon content of biochar is inversely related to biochar yield. Increasing pyrolysis temperature from 300 to 800°C decreased the yield of biochar from 67 to 26% and increased the carbon content from 56 to 93% (Tanaka, 1963). Beyond a certain threshold, the mass of biochar may decrease without any affect on the amount of carbon retained within it; but as mass is lost, the ash content of biochar increases. In one study, the proportion of biochar comprised of ash increased from 0.67 to 1.26% between 300°C and 800°C (Kuwagaki and Tamura, 1990).

For a particular feedstock, the elemental composition of the pyrolysis products can still be greatly affected by the processing temperature and pyrolysis residence time. The effect of temperature on the composition of biochar from sugarcane bagasse is listed in Table 3.

Page 397: Agricultural Applications for Pine-Based BioChar

12

There was a corresponding impact on the pH of the biochar from 7.6 at 310°C to 9.7 at 850°C (Kuwagaki and Tamura, 1990).

Table 3. Properties of biochar from bagasse carbonisation (Ueno et al., 2007)

Parameter or property Biochar Feedstock

Preset temperature (oC) 500 600 700 800

Average temperature (oC) 490 690 740 830

Specific surface area (m2/g) Nd 270 322 273 Nd

EC (mS m-1) 7.78 7.15 6.95 7.83 Nd

pH 7.46 7.59 7.68 7.89 Nd

TN (%) 0.58 0.45 0.32 0.44 0.19

TC (%) 70.5 71.0 65.2 73.9 46.1

Minerals (mg 100g-1) 3361 4601 5359 4363 841

nd=not determined

There are inevitable accompanying differences in the physical and other chemical properties of biochar. Scanning electron microscopy (SEM) is often used to describe the physical structure of biochar, and the architecture of cellulosic plant material is clearly retained (Figure 6). It has been suggested that the porous structure of biochar can explain its impact on soil water holding and adsorption capacity (Day et al., 2005; Ogawa et al., 2006; Yu et al., 2006).

Figure 6. Scanning electron microscope (SEM) image of biochar produced at 400°C from pelletised peanut shell (Jason Nadler, Eprida, Day et al., 2005)

Page 398: Agricultural Applications for Pine-Based BioChar

13

Process temperature greatly affects the surface area of pyrolysis products. In one study, surface area was shown to increase from 120 m2g-1 at 400°C to 460 m2g-1 at 900°C (Day et al., 2005). This effect of temperature has led to suggestions that biochar created at low temperature may be suitable for controlling the release of fertiliser nutrients (Day et al., 2005), whilst high temperature biochars would be more suitable for use as activated carbon (Ogawa et al., 2006). The surfaces of low temperature biochar are, however, hydrophobic and this may limit the capacity to store water in soil.

The form and size of the feedstock and pyrolysis product may affect the quality and potential uses for the biochar product. Initially, the ratio of exposed to total-surface-area of biochar is affected by its particle size. However, although low temperature biochar is stronger than high temperature products, it is brittle and prone to abrade into fine fractions once incorporated. Thus, over the long term, surface area, i.e. of weathered biochar, may not be greatly affected by this parameter.

Biochar comprises part of a continuum of materials described as ‘black carbon’ (Schmidt et al., 2001), which are difficult to quantify. Techniques that have been used to characterise this wider class of materials – which includes soot, charcoal, and char from vegetation fire – may be applied to detect the presence of biochar in soil, sediments and air.

These methods include extractive techniques analogous to those applied to soil organic matter, solid state 13C nuclear magnetic resonance (NMR) spectroscopy (with cross-polarization, CP, or Bloch decay, combined with magic angle spinning, MAS), diffuse reflectance infrared Fourier transform spectroscopy (DRIFT), and near-edge X-ray absorption fine structure (NEXAFS) spectroscopy (Baldock et al., 2002; Fernandes et al., 2003b; Lehmann et al., 2005b).

Biochar occurs naturally in soil as a consequence of wildfire (see Section 3.1.5.1.) and is considered to be a distinct soil carbon pool (Krull et al., 2003). Research to quantify and characterise this material has highlighted the limitations of various analytical techniques when applied to soil and separation procedures to physically separate char from other soil organic matter. A key problem is the interference that the mineral matrix poses, particularly with its associations with highly stabilised soil organic matter, which chemically resembles char. This has been successfully addressed through the use of high energy ultraviolet photo-oxidation, which oxidises most non-char carbon (Smernik and Oades, 2000; Smernik et al., 2000). Thermal oxidation to remove lignin (De la Rosa et al., 2008) and chemical oxidation using hydrofluoric acid to remove mineral interferences (Simpson and Hatcher, 2004a) have also been used.

2.2.3. Quantification of biochar and char

The categorisation of organic carbon in soil is in general a major challenge. Quantifying different components of black carbon is particularly difficult, on account of its chemical complexity and its inherently un-reactive nature. To compare the efficacy of candidate methods depicted in Figure 7, a ring trial was recently undertaken using a selection of 12 materials of contrasting origin and source (Hammes et al., 2007).

Methods included in the trial included approaches based on biomarkers, particularly benzene polycarboxylic acids (BPCA). Chemical oxidative treatments using acid dichromate or sodium chlorite were represented; other oxidative approaches used ultra-violet treatment (photo-oxidation) with correction for non-black aromatic carbon through 13C NMR analysis of oxidised residues. A chemo-thermal oxidation method used a temperature threshold of 375°C, also with 13C NMR and elemental analysis of residues. A purely thermal (gravimetric) analysis was represented using a helium gas flow containing 20% oxygen. Purely spectroscopic methods included thermal or optical laser transmittance and reflectance, and mid-infrared. Additional methods assessed were matrix assisted laser desorption ionisation (MALDI –TOF) and hydrogen pyrolysis.

The most promising reference techniques for determination of biochar in soils were UV or chemical oxidation with elemental analysis and 13C NMR analysis of residues (Skjemstad et

Page 399: Agricultural Applications for Pine-Based BioChar

14

al., 1999; Smernik et al., 2002), thermal analysis (De la Rosa et al., 2008; Hammes et al., 2007) and hydrogen pyrolysis (Ascough et al., 2008).

Mid-infrared spectroscopy shows promise as a means to rapidly estimate black carbon (Janik et al., 2007) and has been applied to large sample sets (Lehmann et al., 2008). This is a correlative technique calibrated against a reference method.

Figure 7. Components of black carbon assessed by available quantification methods across a continuum of recalcitrance increasing from left to right (Hammes et al., 2007)

2.2.4. Background and biochar history: from terra preta to terra nova

The terra preta of the Brazilian Amazon are anthropogenic dark earths, characterised by enhanced levels of soil fertility and popular locally for growing cash crops such as papaya and mango. These crops are said to grow three times faster than on surrounding land, a landscape characterised by soils of generally low fertility. Although the terra preta occur in small patches averaging 20 ha, sites as large as 350 ha have been reported (Smith, 1999). Similar soils have not only been identified elsewhere within the region, namely Ecuador and Peru, but also beyond, in West Africa (Benin, Liberia), and the savanna of South Africa (Lehmann et al., 2003).

The terra preta display high levels of soil organic matter (SOM) and nutrients such as nitrogen, phosphorus, potassium and calcium (Table 4). These characteristics and their high fertility is attributed in part to a high char content (Glaser et al., 2001), which is the main reason why the terra preta tend to be much darker in colour than adjacent soils (Figure 8). The source of the large amounts of char is considered to have been incompletely combusted biomass carbon, such as wood from kitchen fires or in-field burning, conducted by relatively large and settled communities in the distant past.

S ligh tly charred b iom ass

C har G B CS ootC harcoal

m m and larger particles

m m to subm icron

highly reactive

B C P As

subm icron

visual / m icroscopic

ultra -h igh resolution m ass spectrom etry

other m olecular m arkers

inert

therm o-chem ical m ethods

chem ical m ethods

U V O X ID ATIO N – 13C NM R

S ligh tly charred b iom ass

C har G B CS ootC harcoal

m m and larger particles

m m to subm icron

highly reactive

B C P As

subm icron

visual / m icroscopic

ultra -h igh resolution m ass spectrom etry

other m olecular m arkers

inert

therm o-chem ical m ethods

chem ical m ethods

U V O X ID ATIO N – 13C NM R

Page 400: Agricultural Applications for Pine-Based BioChar

15

The terra preta phenomenon has widespread public appeal and has attracted extensive coverage in popular science publications, TV and film, and a plethora of websites. The potential relevance of the terra preta as a model for modern day variants using by-products of bioenergy is now well established and recognised in popular science (Lehmann, 2007b; Baskin, 2006) as well as high impact scientific journals (Marris, 2006; Lehmann, 2007a). From this, the idea of terra nova has emerged: soils whose properties would be enhanced by modern variants of the management practices that created terra preta,

Figure 8. Comparison of profiles of terra preta and adjacent soils (Source: IBI website)

Table 4. Physico-chemical properties of terra preta and adjacent soils (data from Solomon et al., 2007; Liang et al., 2006)

Site Soil type

Depth range (cm) Age (yr)

Clay content (% soil) pH

Organic carbon (mg g-1

soil)

Total soil

nitrogen (mg g-1

soil) C:N ratio

terra preta 43-69 600-1000 27.0 6.4 22.0 1.0 23 Hatahara

Adjacent soil 0-10 600-1000 35.9 4.6 21.8 1.6 14

terra preta 0-16 900-1100 22.6 5.9 31.5 1.8 18 Lago Grande

Adjacent soil 0-8 900-1100 26.7 4.2 17.5 1.3 14

terra preta 48-83 2000-3000 10.4 5.6 15.7 1.0 16 Acutuba

Adjacent soil 0-30 2000-3000 8.5 4.7 15.4 0.8 20

terra preta 190-210 6700-8700 0.3 5.0 16.5 1.1 15 Dona Stella

Adjacent soil 0-12 6700-8701 0.3 3.9 10.2 0.4 27

Page 401: Agricultural Applications for Pine-Based BioChar

16

3. BIOCHAR APPLICATION IN AGRICULTURE

In the context of this report, carbon sequestration is the primary driver for considering the application of biochar to soil. Policy makers charged with meeting greenhouse gas emission targets and addressing public concern over increasingly evident climate change may recognise the potential for biochar-based strategies. The land-owner or farmer is likely to have a more practical or financial perspective.

A particular combination of feedstock, pyrolysis technology, energy conversion and by-product usage can comprise a biochar-based system. Alternative systems have different greenhouse gas balances. In Section 3.1.4, economically and politically conceivable systems for different regions of the world are considered. The future price of carbon and the inclusion of biochar in carbon-trading schemes is a key factor. The likely additional benefits of biochar to agricultural production are reviewed in Section 3.2. These factors are critical since they dictate whether relevant practices are adopted on a large scale through their effect on the decision making of individual farmers.

From a global and policy perspective the potentially negative impacts of biomass use on climate forcing must be considered. These include the effects of soot and trace gases that are emitted into the atmosphere during combustion. Airborne transport and deposition of soot has been implicated in the acceleration of polar ice melt, but conversely in facilitating cloud formation and ‘global dimming’ (McConnell et al., 2007; Ramanathan et al., 2008).

Currently biomass burning accounts for 10% of global CH4 emissions and 1% of N2O (Crutzen et al., 1990). Although current charcoal production activity could account for a component of these emissions (Woolf, 2008), a general shift to pyrolysis-based systems would decrease, if not eliminate, them. However, the net result with great expansion of alternative bioenergy systems has not been assessed.

As is apparent in the terra preta, the addition of biochar can dramatically darken the colour of soil, especially in soils that are low in organic matter. A relationship between soil colour and low temperature fire occurrence has been demonstrated (Ketterings et al., 2000). Oguntunde (2008) found soil at charcoal manufacturing sites to have 8% greater hue, and 20% higher value and chroma. Since dark soils absorb more solar energy they may, depending on water content and plant cover, display higher soil temperatures (Krull et al., 2004). This will affect rate processes, enhancing the cycling of nutrients and potentially extending the growing season in seasonal climates. In Japan it is a traditional farming practice to apply charcoal to accelerate snow melt. Anecdotal evidence suggests more rapid crop establishment in temperate soils enriched in char, but to date no quantitative relationships between biochar application rate and these parameters have been reported. The study of Oguntunde (2008) showed a one-third reduction in soil albedo in soils enriched in char. On a large spatial scale, the application of biochar could affect the albedo of the Earth’s surface. Increasing surface albedo has been proposed as a possible mitigation measure for climate forcing (Crutzen, 2006).

The frequency with which potentially toxic compounds materialise in biochar and their concentration is inadequately researched. Two classes of compounds are of generic concern, since they can potentially from in the pyrolysis of any feedstock: polycyclic aromatic hydrocarbons (PAH) and dioxins. These compounds and available evidence for their presence in biochar is examined in Section 3.2.6.

3.1. Biochar and climate change

The natural carbon cycle includes natural char production from wildfires, the ensuing transport of char from the soil to watercourses and the ultimate burial in marine or estuarine sediments. Since routine and universally acceptable methods for black carbon and specifically charcoal are still outstanding, the precise magnitude of the rates and processes, and the relative size and stability of char in the soil and sediment pools are still uncertain

Page 402: Agricultural Applications for Pine-Based BioChar

17

(Schmidt, 2004; Simpson and Hatcher, 2004b). However, the potential to enhance the contribution that char makes to the natural carbon cycle through the addition of biochar in soil is a topic of much public discussion and a rising profile in influential policy circles, for example, in Australia (Garnaut, 2008). The contribution that such strategies can have on climate change mitigation depends on attaining a much more extensive research base and detailed economic analyses.

It is useful to consider a biochar-based strategy against more established approaches to increase the organic carbon stored in soil, such as the use of manures and composts. The longevity of biochar in the soil is an important element when comparing pyrolysis bioenergy and biochar production with conventional bioenergy strategies, in mitigating climate change. However, it is also vital to assess any indirect reduction in net greenhouse gas emissions from agriculture through the use of biochar. There may be additional benefits arising from the contribution of biochar to facilitating agricultural development and improving the socio-economic circumstances of farmers in developing countries. Figure 9 captures the complexity of potentially beneficial interactions of biochar in the context of natural cycles and anthropogenic interventions.

3.1.1. Soil organic matter and climate change

In order to understand the potential significance of carbon in soil in the form of biochar, its characteristics and dynamics should be compared to those of the remaining soil organic matter, which accounts for most of the carbon that exists in soil (the exception being calcareous soils which contain stocks of inorganic carbon in carbonate minerals). Depending on land-use and climate, most soils contain up to approximately 100 t ha-1 carbon as organic matter. Peat soils, though, comprise mainly organic matter and contain much more carbon on a per unit area basis. It is increasingly recognised, however, that a greater proportion of the total carbon may comprise an accumulated store of the products of burning or fire (Skjemstad et al., 2004a), and that this has implications for the response of the wider soil carbon pool to climate change (Skjemstad et al., 1999; Lehmann et al., 2008).

Modelling indicates that about 90% of the organic matter present in soils turns over on decadal to centennial timescales (Coleman et al., 1996; McGill, 1996). Most organic matter in soil is derived from plant roots, plant debris and microbially re-worked substances. The presence of soil organic matter is important for a range of useful soil properties, which has been comprehensively reviewed by Krull (2004). The process of microbial energy acquisition (and concomitant CO2 release) from substrate is accompanied by a release of various nutrient elements, which may be conserved in the soil in microbial biomass or the particulate residues of substrate decomposition. A portion of certain nutrients may also be released in soluble form, and a fraction may be lost from the soil through leaching or run-off; which is essential to crop nutrition. This is particularly the case where external nutrient provision (from fertiliser or manure) is limited or absent.

Overall, a balance slowly develops between the rate of carbon addition and the emission of CO2, which are specific to the land-use and environmental conditions. The amount of organic matter maintained once this balance is reached, depends on its average rate of turnover. To date there have been few means proposed that permit manipulation of this rate, so that soil carbon can be permanently increased. Beyond simply increasing the amount of external organic matter inputs (Smith et al., 2000), the main strategies are to disturb the soil less by using less intensive tillage or zero tillage (Lal, 1997; Smith et al., 1998), or by selecting particularly recalcitrant, lignin-rich amendments (Palm et al., 2001).

Although conversion to no-till soil management has been widely promoted as an approach to enhance soil organic matter as well as to control erosion and conserve water, the main effect appears to be a vertical re-distribution of organic matter, and an increase toward the surface more or less matched by a corresponding depletion at depth (Bhogal et al., 2007; Blanco-Canqui et al., 2008). Nonetheless, the Chicago Climate Exchange includes a specification for ‘conservation tillage’ amongst its Carbon Financial Instruments for carbon sequestration and thus a precedent for the active engagement of farming in the carbon market

Page 403: Agricultural Applications for Pine-Based BioChar

18

(<http://www.chicagoclimatex.com/>). Managing decomposition in soil by manipulating the quality of inputs has been explored extensively in tropical environments where decay is rapid (Palm, 2001). But simply altering the composition of soil inputs has only a relatively minor impact on the composition and long-term fate of the small portion that is stabilised, with incorporation and repeated decomposition inside the dominant, slow turnover pool.

Thus the main emphasis in the sequestration debate has been focused on increasing soil carbon by increasing organic matter additions in the form of straw or other crop residues, and from external sources such as manures and a range of organic wastes: sewage sludge, municipal compost, paper waste, and so on. Although there is a large amount of such material available, the quantity is relatively small compared with the total flux through soil, particularly the size of the global soil carbon pool. When a soil is at an equilibrium, only about 10% of the carbon added to soil is stabilised for more than one year. During a transition, progress to new equilibrium is slow, with the annual increase being small relative to the carbon invested. As equilibrium is approached the annual rate of accumulation decreases, and once reached, the new level of input has to be sustained simply to maintain it. Furthermore, the capacity to store organic matter is ultimately limited (with the capacity varying with soil type, water regime and climatic factors); thus the improvement in carbon storage that is possible for each incremental increase in input (Stewart et al., 2007; Gulde et al., 2008). As well as added carbon being rapidly re-emitted into the atmosphere, carbon is lost in the formation of soil organic matter through digestion in the animal gut or oxidation in conversion to compost. The level of carbon sequestration or offset that could be realised through an alternative use of these materials, including fossil fuel substitution, must be considered when assessing the efficacy of these strategies from the perspective of climate mitigation alone (Schlesinger, 2000). For example, the carbon cost of producing N fertiliser is relevant when proposing to increase soil carbon storage indirectly through enhanced plant growth (Schlesinger, 2000).

Figure 9. The key physical (purple arrows), natural (orange arrows) and anthropogenic (red arrows) interactions of biochar in the environment

CROPproductivity

PLANTbiomass

ENERGYcapture

soot charcoal biochar

N2O effect

MANAGEclimate change

AGRICULTURALdevelopment

CO2

water

SOILorganic matter

N supply

CROPproductivity

PLANTbiomass

ENERGYcapture

soot charcoal biochar

N2O effect

MANAGEclimate change

AGRICULTURALdevelopment

CO2

water

SOILorganic matter

N supply

Page 404: Agricultural Applications for Pine-Based BioChar

19

In the context of the interventions generically referred to as ‘management options’, important soil physical benefits may be gained by accumulating soil organic matter (Janzen, 2006). However, these must be balanced against the opportunity costs, the forgone benefits that might arise from its breakdown and turnover, most importantly the release of crop nutrients (Janzen, 2006). In general, however, any form of organic matter added to the soil degrades resulting relatively quickly in CO2 emission. Thus adding degradable organic matter into the soil is inefficient in terms of climate change mitigation, with the energy contained being captured and dissipated by soil microbes rather than in power plants where it can offset fossil fuel use (Woolf, 2008).

3.1.2. Carbon stabilisation and sequestration using biochar

Turning biologically-derived organic matter into a highly stabilised form can decrease CO2 emission from soil by considerably lowering its rate of decomposition. Whether stabilisation by conversion to biochar represents a net carbon saving depends on the time horizon for the comparison. However, the immediate CO2 emission from syngas released by pyrolysis would, within a few months, be exceeded by the CO2 emitted in decomposition if the same material had been added to soil directly (Lehmann et al., 2005a). Also, although there is a CO2 emission associated with provision of heat for the pyrolysis process, the calculations of Gaunt (2008) indicate that it is relatively small; in an example where pyrolysis consumed 40% of the carbon in the feedstock (in producing syngas), the CO2 resulting from provision of process heat for that process would equate to only a further 10%. Even in temperate environments where decomposition in soil is relatively slow, it is calculated that within two to five years, the effective emission in the pyrolysis scenario is already less than that which would have accrued from the soil (Gaunt et al., 2008). Over a period of the one to five decades relevant to mitigation of climate change, the net saving is therefore considerable.

Even within the first few years, however, the higher initial loss of CO2 may be offset by the effects of biochar on other soil processes, in particular prevention of N2O and CH4 release from soil. Natural emissions of N2O from soil are a function of soil moisture status and possibly tillage (Pekrun et al., 2003). Because biochar in soil may modify the moisture regime and physical location of water within the soil matrix, it may mitigate the enhanced emission of N2O that may occur in no-till systems. Methane emissions produced from agricultural soils, mainly under paddy rice agriculture, account for 12% of the global methane emission from all sources. Some studies have suggested that addition of biochar may partially suppress methane emissions. The evidence for these effects is examined in Section 3.1.6.2.

There may be additional, potentially important offsets of other indirect emissions. These could include avoided emission of CO2 if the fertiliser required to produce a tonne of product is decreased via a positive effect of biochar on crop use efficiency. This extends to avoided emissions of N2O during the manufacture of the fertiliser as well as from the soil upon application – it is estimated that a carbon-equivalent emission of 1.8 tC is associated with production and use of 1000 kg of fertiliser nitrogen (Mortimer, 2003). Any effect of biochar on increased crop yield could significantly ease pressure on natural lands if implemented on a large scale. Since the conversion of forest or savannah to agriculture can result in an emission as high as 100 tC ha-1 (from above- and below-ground carbon stocks) this could be important (Searchinger et al., 2008).

It has been suggested from visual observation of the terra preta that biochar could also lead to a net stabilisation of other organic matter (Sohi et al., 2006; Lehmann and Sohi, 2008). If this is the case, this could be another factor benefiting the overall net carbon gain from biochar-based soil management strategies. This is a particularly intriguing prospect since the capacity for soils to store biochar, not relying on protective capacity of a limited clay surface area, is not finite in the way that it appears to be for other soil organic matter. Thus in addition to representing a carbon store of its own, it is possible that biochar can enhance the intrinsic soil organic carbon storage capacity of soil by affecting the turnover of indigenous carbon. However, apparently contradictory data have been published, which seems to suggest an accelerated decomposition of leaf litter in soil amended with biochar (Wardle et

Page 405: Agricultural Applications for Pine-Based BioChar

20

al., 2008). The mechanisms and predictive description are, however, still to be determined and defined.

A carbon balance for a pyrolysis scenario that appears positive with respect to the atmosphere in the short term (i.e. a net emission) may be rendered negative if the feedstock for biochar production comprises a new, additional and sustainably supplied resource. This resource could derive from a managed increase in the above-ground productivity of existing crops, or by maintaining vegetation in a state of high net primary productivity through growth continuous cropping. Maintaining high net primary productivity above ground also promotes higher productivity below ground, with an associated increase in root exudation and root turnover. Plant and root productivity can also be enhanced by the use of fertiliser; noting, however, the overall carbon balance of a strategy based on increasing soil carbon through increased use of fertiliser. In assessing the carbon balance of a biochar strategy, it is important to include the carbon cost of transporting feedstock and biochar between field and pyrolysis facility and vice versa. In the scenario where there is no energy capture from pyrolysis of organic matter, gains will depend on positive impacts on crop yield and soil health.

3.1.3. Combined bioenergy and biochar production

Greatest overall impact on greenhouse gas emissions are likely to be realised where gases produced during pyrolysis are captured and utilised in a manner that offsets fossil fuel energy. In comparing a strategy that involves biochar production and its use in soil, it can be argued that the reference scenario should be the use of the same feedstock in some other form of bioenergy capture, such as simple combustion or, alternatively, pyrolysis with gasification or combustion of the biochar by-product.

Bioenergy in general is often described as carbon neutral, since the carbon emitted in the use of the energy approximates to the amount removed from the atmosphere to create the feedstock in photosynthesis. For a biochar-based strategy to be carbon-negative, the avoided carbon emission – or rather CO2 -equivalent emissions (since other greenhouse gases have to be considered) – from use of 1t carbon in feedstock must exceed 1tC (Renner, 2007). If it is assumed that the feedstock would otherwise decompose and return to the atmosphere as CO2, as is the case for organic material added to soil, the carbon emission from producing biochar and adding the stabilised residue to soil may alone, over a few years, be close to one unit. Thus, with any net energy capture through use of gases (or oils) produced during pyrolysis, the technology may be considered carbon negative (Lehmann, 2007). The indirect effects on carbon emissions resulting from a positive impact on agricultural productivity, plus an effect of biochar or the emission of non-CO2 greenhouse gases from soil, may enhance this.

However, the carbon-negative status of the technology has been questioned by Bruun (2008), who considered the additional fossil fuel offset that could be obtained if biochar was used for non-energy purposes. Furthermore, biomass pyrolysis itself did not extract more energy from a feedstock when compared to another bioenergy use. Bruun (2008) also pointed out that over longer timescales, an increasing proportion of the carbon initially sequestered in biochar would be slowly returned to the atmosphere through its slow degradation back to CO2.

In terms of energy captured per unit of CO2 released it may be correct that biochar production is not associated with less carbon emission than other forms of bioenergy. However, when expressed in terms of energy captured per unit of carbon in the feedstock, this is not the case. During pyrolysis the majority of energy embodied in feedstock (about 70%) is converted into combustible syngas, but with the liberation of only half of the feedstock carbon (Lehmann et al., 2005a). This is because energy rich but less carbonaceous functional groups are liberated first.

In the pyrolysis of organic wastes and crop residues, the emission avoided in preventing its natural decomposition in soil, composting or landfill (for example) is an important part of the overall CO2 -equivalent savings. In the utilisation of non-waste feedstocks, such as biomass

Page 406: Agricultural Applications for Pine-Based BioChar

21

crops, there is no such avoided emission. Indirect CO2-equivalent savings resulting from use of biochar in soil must then exceed the energy embodied in the biochar and allowance made for the implications of land use.

3.1.4. Evaluation of biochar systems

Since pyrolysis is a more carbon-efficient way to capture bioenergy compared with other bioenergy systems (in terms of CO2 MJ-1), manufacture and storage of biochar would add significant benefits for climate change mitigation alone. From this perspective, storage of biochar does not need to be in the soil, and it had been proposed that entire valleys could be used as storage facilities for biochar (Seifritz, 1993). However, applying biochar to agricultural soils is currently the most widely proposed path, since it is more likely to overcome the opportunity cost in energy production (the recoverable energy forgone in the biochar). If biochar can provide reliable agronomic benefit it may command a value in crop production in addition to a potential carbon credit.

However, whilst the potential for management of the terrestrial carbon cycle is the reason for the current interest in biochar, to be workable a biochar-based scenario must: (1) assess the monetary value of direct and indirect emission savings arising from the use of biochar against the opportunity cost of biochar combustion or alternative use, (2) provide certainty, verification and possibly evidence for carbon-equivalent savings and (3) consider the indirect costs and benefits to land users and upstream food processors from the use of biochar in soil. The latter might include the cost of biochar application, weighed against the marketing benefits gained through carbon-neutral food products.

In short, a full life-cycle analysis of alternative scenarios is required. However, greater certainty is required on the following in order to fully assess biochar-based soil management for specific applications: (a) the stability of biochar carbon in soil, (b) the indirect impacts of biochar on carbon-equivalent emissions and (c) the security, reliability and constancy of price for pyrolysis feedstocks. These are reviewed in more detail in the next sections.

The potential for technological developments in pyrolysis to enhance flexibility and overall efficiency is a separate topic, and will be facilitated by its expansion and forums such as IBI, and national networks such as the Network of Australian and New Zealand Biochar Researchers, and the UK Biochar Research Centre. It should be highlighted, however, that from the perspective of the economics of energy capture, the value of biochar and the overall outcome of the analysis is sensitive to the price of heat and power generated from other fuels. It is also affected by any subsidy for renewable energy, which may have the effect of inflating the monetary value of the energy in biochar (Woolf, 2008).

3.1.5. Stability of biochar in soil

Its extraordinary stability means that charcoal particles in soil have been used as a tool for dating and paleo-environmental reconstruction as well as evaluation of cropping practices over centennial and millennial timescales (Ferrio et al., 2006, Scott et al 2000). Studies of the age of the carbon in terra preta of Brazil, as well as similar black carbon accumulations in the soils of other natural ecosystems that have resulted from natural fire events, provide considerable reassurance for the general long-term stability of at least some significant component of biochar. However, laboratory-based studies using freshly-made char tend to show some mass loss – sometimes large – in a period of days to years.

The paradox of apparent long-term stability against measurable short-term decomposition suggests that biochar comprises both stable and degradable components. At the moment there is insufficient data in the literature to compare the responses between short- and long-term stability under different climates and in different soils, which could enable the relative size of these fractions to be assessed.

Combustion conditions during pyrolysis as well as the type of feedstock are probably influential in determining the proportion of relatively labile components in biochar products. Measuring the influence is essential for the optimisation of pyrolysis for maximum net carbon

Page 407: Agricultural Applications for Pine-Based BioChar

22

stability. In optimising biochar production against energy capture to address climate change most effectively, a consistent level of stability in biochar is the aim. Maximising retention of carbon into biochar is counter-productive however, in both carbon and economic terms, if the additional material is in fact associated with short- or medium-term loss to the atmosphere.

The chemical composition of biochar provides the principal explanation for its generally high level of stability and is reflected in broad terms by its elemental composition: highly aromatic and with a very high carbon content. It is likely that its stability is strongly modified by its physical properties and structure, however. If the biotic and abiotic processes determining the fate of biochar are the same as those for other soil organic matter, higher soil temperature, moisture availability, lower clay content and intensive tillage will accelerate decomposition rate.

The soil system has a remarkable propensity to degrade organic substrates introduced into it. As a substrate generally very low in the concentration of key crop nutrients, the rate at which biochar degrades in situ may also be influenced by the exudation of labile, nutrient rich substances in the rhizosphere. This, in turn, is affected by cropping pattern.

3.1.5.1. Stability of biochar in natural systems

Soils that contain large amounts of char are those that have experienced relatively frequent natural fires over a period of millennia (Lehmann et al., 2008). Converting a fraction of standing plant biomass to black carbon in soil constitutes net removal of CO2 from the atmosphere (Forbes et al., 2006). A relatively minor under-estimation in our estimates for the percentage converted could explain up to one-fifth of the so-called missing carbon sink, that is the imbalance between carbon eliminated from forest and fossil fuels, against observed atmospheric CO2 (Kuhlbusch, 1998).

In natural systems it is not possible to determine the exact amount of biochar added to a soil over the long-term history and the biochar in these soils will be of disparate age. However, a loss rate constant can be derived mathematically by assuming that current and historic levels of standing biomass are representative (Graetz et al., 2003; Mouillot et al., 2005; Forbes et al., 2006), and a simple factor applied to capture the rate of conversion of biomass to charcoal in burning episodes. This approach has yielded the best estimates for long-term mean residence times, which are in excess of 1000 years (Lehmann et al., 2009). Direct monitoring of archived soils from medium-term experiments seems to support such stability (Skjemstad et al., 2001).

A portion of black carbon in soils globally also comprises condensed aromatic carbon in the form of soot particles. This, in turn, can be confused with soot similarly formed in fossil fuel combustion. Such black carbon is considered to lie at the most stable end of a black carbon continuum (Masiello, 2004). Over extended timescales the physical transport of this material through the soil and into water and sediment is inevitable and is seen in its accumulation in marine sediment (Masiello et al., 1998). This observation highlights the potential to confuse physical transport of biochar from a trial site for oxidative loss. It also indicates the importance of such processes to the sequestration of carbon in the natural carbon cycle (Smittenberg et al., 2006).

Although char from wildfire offers opportunities to study the long-term dynamics of pyrolysed biomass, the fire and low rate of biomass conversion to char suggests probable differences in composition and function. Simple charcoal manufacture probably began with the discovery of fire; therefore, it is not surprising that sites of ancient habitation are associated with soils enriched in char. Whilst the terra preta provide a neat and convincing example for the deliberate use of biochar in agriculture, there is circumstantial evidence for its informal use in other regions, not only in the distant past but in recent centuries (Young, 1804) and in the current day (Lehmann and Joseph, 2009a).

Page 408: Agricultural Applications for Pine-Based BioChar

23

3.1.5.2. Influence of biochar feedstock on stability

In soils where charcoal has been known to be abundant, it is associated mainly with the very fine, sub-50 µm soil fraction (Brodowski et al., 2006). This suggests that through some abrasive physical process or the destructive physical impacts of freeze-thaw and shrink-swell, the initial size of brittle biochar particles may be relatively unimportant to its long term interactions in soil. Ponomarenko (2001) found biochar evenly distributed across particle size and biochar particles to become increasingly rounded over time at a rate dependent upon the abrasiveness of the soil. Ponomarenko (2001) also found the concentration of clay-sized mineral particles embedded in biochar pores to increase with time and noted that this would inhibit their isolation using density-based techniques.

Brodowski (2006) found a small proportion of biochar particles in soil to be associated with micro-aggregates, but for this biochar to account for a rather large proportion of the carbon that is present in such structures i.e. compared to other particulate organic matter. The authors used this as evidence for physical protection of biochar against degradation and also noted that biochar might act as a binding agent for organic matter in aggregate formation. Although they did not specify whether the latter would be a purely physical interaction or a consequence of biological activity, Watts (2005) previously found no effect of charcoal on aggregation at low temperatures designed to preclude biological activity. In an earlier publication Glaser (2000) found a large proportion of biochar in terra preta to be present in unprotected fractions. Obtaining similar results, Murage (2007) noted that the misleading impression might be gained that active soil fractions turn over more slowly in soils that are enriched in biochar.

Currently there is no published information to demonstrate whether the physical diminution of biochar in soil is accompanied by oxidative loss of carbon. However, X-ray photoelectron spectroscopy showed abiotic oxidation (with proliferation of carboxyl groups) to occur in the porous interior of biochar, whilst biotic oxidation affected external surfaces only (Cheng et al., 2006). Biotic oxidation might therefore be enhanced as particle size decreases, although in the study of Cheng (2006) it was also quantitatively less important. These findings have been further validated (Lehmann et al., 2005b) using synchrotron-based techniques (near-edge X-ray absorption fine structure spectroscopy).

At the macro-scale biochar products range from powdery to brittle, depending upon the physical microstructure of the material from which they are derived. Those produced from woody feedstock display a predominantly xylemic structure that is coarse and strong. These also display the highest carbon contents, in excess of 70% C and up to 90% C, and are low in trace elements. Those produced from rye grass, maize and digested feedstocks i.e. manures are powdery, lower in C (over 60%), and enriched in minerals and nutrients. Thus the latter are not only less physically recalcitrant, they are also a more attractive microbial substrate.

3.1.5.3. Climatic effects on biochar mineralisation

Climate determines soil temperature, which affects the rate at which both biotic process and abiotic reactions occur in the soil. However, in the absence of water the effect of temperature is irrelevant, as water is essential for biological cell function, and solution phase reactions proceed by definition only where water is present. Thus synchrony in a conducive environment of rainfall and temperature and rainfall conditions is required in order to maximise overall soil activity.

Biochar should modify not only the soil water holding capacity of the bulk soil, but also the physical location of water within the soil matrix, since the smallest pores become water-filled first and remain moist the longest (Gaskin et al 2007). The size of these pores makes them relevant to microbial populations as a physical niche. There is also evidence that mean soil temperature and diurnal temperature fluctuations are impacted by the effect of biochar on soil colour (Krull et al., 2004; Oguntunde et al., 2008).

Page 409: Agricultural Applications for Pine-Based BioChar

24

The effect of climate on biochar oxidation has been evaluated in a transect study spanning several climatic zones. Sites along the transect had each received inputs of biochar during a brief and defined period in industrial history 130 ybp, but received greatly contrasting mean annual temperatures (Cheng et al., 2008). The accumulation of cation exchange capacity was correlated to mean temperature and the extent of oxidation was seven times higher on the external surfaces of biochar particles than in the interior.

The potential consequence of a warmer global climate releasing CO2 through accelerated mineralisation of black carbon was first scoped by Druffel (2004) who indicated potential emission rates of 2 to 7 GtC y-1 by 2100. However, if a larger proportion of the global soil carbon stock comprises recalcitrant black carbon than is assumed in current models, the more active pools must be smaller and the overall response to warming significantly slowed (Lehmann et al., 2008). General arguments concerning the relative response of recalcitrant carbon and more active carbon pools to changing temperature has not been resolved (Fang et al., 2006).

3.1.5.4. Soil biological activity and the stability of biochar

A number of relatively short-term laboratory incubation experiments have been conducted using soil mixed with biochar, with or without added substrate, to assess the biological and chemical degradation of biochar to CO2. Early studies found that even graphitic carbon could significantly be mineralised biologically (Schneur, 1966).

Laboratory studies where loss routes can be controlled have generally found some measurable initial loss of carbon from biochar (Cheng et al., 2006); however, a few studies have found a much larger loss (Hamer et al., 2004). In the Hamer (2004) study, not only was charcoal substantially degraded within 60 days, but the mineralisation of simultaneously added glucose solution was also enhanced, suggesting a priming effect. Combined products comprising labile nitrogen and stable carbon have been proposed (Day et al., 2005). However, the evidence (Hamer et al., 2004) suggests that the addition of nitrogen could impact on the stability of biochar and its value in carbon sequestration. This has not, however, been experimentally assessed to date.

Further studies seem to indicate that biochar may prime the decomposition of native soil organic matter. After nine years in the field, Wardle et al. (2008) measured mass loss greater in a charcoal-litter mixture, than for the sum loss in a charcoal-only plus litter-only. However, the mesh bags in which the samples were contained had been buried in a forest litter layer, and thus separated from mineral soil. Although the loss could have been from the priming of litter decomposition, it was also possible that the loss could result from priming of charcoal loss (Lehmann and Sohi, 2008).

If the level of organic matter input to the soil by plants is steady for a particular ecosystem, enhanced microbial activity over the long term is not consistent with a net accumulation of non-black organic matter (as well as charcoal) that is observed in terra preta, compared to their adjacent soils. But in fact these observations need not be contradictory if carbon that is mobilised in the litter layer is, once transported to the mineral soil, rapidly stabilised. The latter effect could directly involve biochar surfaces or minerals in subsoil, as well as mineral material in the surface horizon (Lehmann and Sohi, 2008).

3.1.5.5. Effects of biochar on ease of tillage and mechanical disturbance

If, as proposed, natural soil movement influences the breakdown of biochar through its reduction in size, then the rate of breakdown would be expected to be further accelerated by tillage. This is important to consider since tillage is perhaps envisaged as the primary means to incorporate biochar into soil.

Quénéa (2006) reported a 60% decrease in both the soot and charcoal content of sandy soil under temperate forest during 22 years after conversion to intensive agriculture with annual tillage. The loss of total soil carbon over the same period was 30%, suggesting that biochar and charcoal were relatively less resistant to degradation than bulk soil organic matter after

Page 410: Agricultural Applications for Pine-Based BioChar

25

disturbance. However, the analysis of the charcoal data was based on larger hand-picked fragments and it seems likely that particles broken down into very fine fractions might have led to an overestimate of the loss. The initial soot content was very low. In contrast, 50 years of cropping and cultivation had no measurable change in the aromatic aryl carbon, taken to reflect charcoal, whilst other fractions declined rather rapidly (Skjemstad et al., 2001).

More research may enable likely rates of breakdown to be predicted. If, for example, tillage was a key factor, maximum longevity of biochar targeted by application on land where minimum tillage is practised. In no-till systems, biochar could be sequestered into soil through a one-time addition at the time of conversion from a tilled system.

3.1.6. Indirect impacts of biochar on CO2-equivalent emissions

The net carbon gain resulting from stabilisation of carbon into biochar, and its storage in soil, needs to be refined. There is even less information available for the impact of biochar in soil on the emission of greenhouse gases other than CO2. The contribution of nitrous oxide (N2O) and methane (CH4) are major contributors to climate forcing and have significant agricultural sources, including soils. There is evidence that biochar may suppress the emission of these gases from soil.

There may be additional indirect benefits in terms of greenhouse gas emissions, resulting from improved crop production through use of biochar. Although the global possibilities are currently hypothetical, in an era of falling global grain stocks, the value of biochar could extend beyond a purely financial consideration for land users and become increasingly relevant politically and economically. Growing concerns around both energy and food security may accelerate the development and application of biochar technology and associated Governmental or inter-Governmental market interventions to support it.

3.1.6.1. Indirect effects of yield benefits and nutrient requirement

The direct impacts of biochar on crop yield are reviewed in Section 3.2.2.

Where economically optimal fertiliser rates are currently applied, biochar has the potential to deliver the same crop yield with a lower application rate – with potentially significant greenhouse benefits. In more detailed assessments for the overall carbon balance of a biochar strategy (Gaunt et al., 2008), an assumed 10% reduction in the fertiliser required to maintain current crop yield was found to be a particularly important component of the net carbon benefit. This reflected the energy intensive nature of nitrogen fertiliser production and the N2O emissions that result from fertiliser application and use.

The purpose of biochar application might not simply be to attain a greater yield, however, but possibly to achieve predictability in yield through a lower susceptibility to climatic events such as floods and drought.

Also, the economic optimum after biochar application could be gained through a gain in crop yield at the same current or possibly higher rate of application, in which case the net result would be higher per hectare yields.

Furthermore, biochar could increase, maintain or at least limit gradual decreases in crop yield on land where soil fertility and productivity is currently in decline. Under changing climate the benefit of biochar in response to increasingly erratic or intense rainfall events could be more acute, and/or enable plants to better exploit higher CO2 concentrations. This suggests a potential role for biochar to assist in adaptation to climate and environmental change.

These factors would benefit global carbon balance in several very important ways. Firstly it could reduce the degradation of existing agricultural land, and thus alleviate pressure on natural systems, which usually represent a significant store of carbon as well as biodiversity. Maintaining or enhancing productivity of existing land may also make relatively more land available for bioenergy or other alternative crop production systems.

Page 411: Agricultural Applications for Pine-Based BioChar

26

Modelling of these possibilities, at this stage, may not be possible due to too many uncertainties (economic as well scientific). However, if we view biochar as a technology with the potential to be practised on a very large scale, they have to be assessed in the long term. Importantly, they highlight the complexity of the biochar topic and the need to think carefully about the system boundaries drawn in assessing benefits and impacts.

3.1.6.2. Impact of biochar on nitrous oxide emission from soil

The global warming potential (GWP) of a gas reflects two aspects: the efficiency of the molecule in absorbing incoming solar radiation and its rate of chemical breakdown in the atmosphere. By definition the global warming potential (GWP) of CO2 is 1.0; by comparison the GWP of nitrous oxide is 310. Under anaerobic conditions N2O is emitted from soil through denitrification, a process in which specialised microbes that obtain energy from the reduction of nitrate (NO3

-), or intermediate gases, to dinitrogen (N2). However, it appears that nitrifying bacteria generally involved in conversion of N2 to ammonium (NH4

+), i.e. nitrification, may simultaneously denitrify (Bateman, 2005).

The availability of NH4+ is generally controlled by organic matter mineralisation, which is

climate driven, but its concentration is greatly enhanced by the application of nitrogen fertiliser or, in livestock and gazed grassland systems, from dung or slurry application. Regardless of the setting or source, the majority of soil nitrogen is in organic form and N2O emanates from the utilisation of a relatively small and dynamic nitrogen pool.

Life cycle assessments quantifying the benefits of biochar-based strategies for energy depend quite heavily on a decrease in the emission of N2O that frequently follows the addition of mineral nitrogen fertiliser. Accounting for this effect makes a great difference to the overall analysis of how a biochar to soil strategy impacts on net greenhouse gas balance (Gaunt et al., 2008). The expectation for this effect relates to the general impact of biochar on retention of N in the soil in a way that also enhances crop nutrition (see Section 3.1.6.1.). If the latter effect is surface-mediated, it seems unlikely that biochar confines N to a physical location – such as very small pores – where it is inaccessible to denitrifying bacteria. It may be that, instead, biochar inhibits the process by sequestering dissolved mineral N.

Published data demonstrating the effect of biochar on suppression of N2O remains very limited. In the most widely cited study to date (Yanai et al., 2007) ‘bio-waste’ charcoal was applied during a re-wetting of a former grassland soil, high in organic matter, in laboratory incubation (25°). Nine-tenths of N2O was suppressed in five-day emission episodes after wetting of soils to 73% and 78% water filled pore space. At a slightly higher water filled pore space (83%), charcoal had the opposite effect, increasing N2O emission. The rate of biochar addition used in the study equated to a relatively high application rate of 180 t ha-1 in topsoil. However, the authors were able to exclude the possibility that the alkalinity of their charcoal, or its nutrient content, were significant factors in their observations.

In an arable soil with much lower C content (2.2 %C), Sohi (2008) has studied the effect of willow charcoal at a much lower rate of 10 t C ha-1 which were assessed during 20°C incubation of wet (70% water holding capacity) and re-wetted (from 20% water holding capacity) soils, with and without simultaneous addition of small amounts of inorganic N (equivalent 75 kg N ha-1). A more modest suppression of 15% was proportionally similar for all treatments where there was any response at all (the already-wet soil did not emit significant N2O). After six months, available soil N would have been largely consumed and the soils thoroughly equilibrated. A second inorganic N addition (without new charcoal) at this time showed no difference in N2O emissions between amended and control soils.

If any correspondence exists between the two studies it appears that not only is effect of biochar on N2O likely to be non-linear with respect to rate of application (and significant but not large at realistic rates) but – as authors of both papers conclude – the effects are likely to reflect the impacts of biochar on soil physical properties, particularly modification of pore-size distribution (of which water holding capacity is not a sensitive measure). In particular the effect may only be seen during re-wetting, and not when soils are maintained wet. Whether the benefit upon re-wetting is repeatable remains to be established.

Page 412: Agricultural Applications for Pine-Based BioChar

27

Measurements of N2O emission in the field environment are difficult due to the transient and spatially variable nature of denitrification. Like the studies described in Chapter 3, the availability of sample biochar in the quantities required to assess its many effects in true randomised plot designs presents a major challenge. Biochar field experiments with periodic measurement of N2O in cover boxes is currently in a third year in upstate New York (<http://www.css.cornell.edu/faculty/lehmann/research/biochar/biocharproject.html>).

In tropical environments field experiments have been established in Columbia and in Kenya. Results from the Columbian trials indicate 80% suppression of N2O emissions (Renner, 2007).

3.1.6.3. Impact of biochar on methane emission from soil

Methane has a relatively low GWP of 21, but is six times more abundant in the atmosphere than N2O (1.8 ppm compared to 0.3 ppm for methane), and has an annual flux approximately 50 times higher. Aside from industrial emissions, including natural gas exploitation and distribution (accounting for about 20%), methane emanates primarily from the soil of natural habitats and thus, uniquely for the main greenhouse gases, increasing rates of emission have begun to stabilise. Within agriculture, paddy cultivation of rice and the guts of the growing ruminant population (primarily grazing domestic animals) are key methane sources (IPCC-2001, <http://www.grida.no/publications/other/ipcc%5Ftar/?src=/climate/ipcc_tar/wg1/index.htm>)

Specialised methanotrophic bacteria make most aerobic soils a net sink for methane, however, and the relatively rapid consumption of methane explains to a large extent its relatively low GWP. The link between methane consumption and aerobicity is important in the context of reduced tillage, however. These practices have been widely promoted for their sequestration of carbon. Whilst higher topsoil organic matter is liable to improve both water infiltration and holding capacity, increased moisture status is likely to result in a relative increase of methane emissions (e.g. Castro et al., 1995).

Field experimentation with biochar in Columbia showed the elimination of CH4 emission (Renner, 2007). A number of studies are currently assessing the impact of biochar on the emission of methane from paddy soils. At this time there are no results published in the scientific literature.

3.1.6.4. Biological activity and stabilisation of soil organic matter

The stability of biochar and the biological activity that results from its application are intrinsically linked, as are soil properties such as clay content, pH and cation exchange capacity (CEC) and climatic variables.

The ancient terra preta are higher in organic matter compared with adjacent soils that do not contain black carbon (Lehmann et al., 2003). This has lead to the hypothesis that black carbon in soil leads to increased stabilisation and hence accumulation of other carbon. This may provide one of the few mechanisms by which the intrinsic capacity of a soil to store organic matter can be modified from a management perspective, and if correct, increases the net carbon gain from the use of biochar.

However, some studies have reported increased microbial activity in soils enriched in biochar (Steiner et al., 2003; Steiner et al., 2008). Upon addition of biochar to soil for the first time, mineralisation may be stimulated by the presence of an active fraction and associated soluble nutrients or labile carbon fractions. It has also been noted that the physical structure of typical biochar products provides a secure environment for microbial colonies (Ogawa, 1994). However, it should be noted that experiments must be designed such that the system is correctly monitored, e.g. all soil layers, gaseous losses and plant growth. Currently, findings to date should be viewed as provisional.

Microbial biomass is not a measure of microbial activity but the abundance of microbial cells. Thus whilst an increased microbial population associated with increased soil organic matter

Page 413: Agricultural Applications for Pine-Based BioChar

28

without any obvious increase in substrate supply may seem paradoxical, it might suggest a decrease in microbial efficiency, possibly associated with a change in the balance between different groups of microbes. A simultaneous increase in CO2 emission, however, would indicate enhanced plant growth and higher inputs of labile carbon via the plant roots.

In soils where char is present naturally in higher concentrations as a result of natural forest fire or prescribed burning, the microbial community may include specialised species with a capacity to degrade a relatively scarce and challenging substrate. This may explain the distinct communities observed in terra preta, but is not clear whether these species are truly ubiquitous to other soils (if scarce), or whether the capacity for soils to degrade such materials is acquired over relatively long periods.

3.1.6.5. Effects of biochar on tillage and irrigation requirements

Lower bulk density and/or higher organic matter reduce the fuel requirement for mechanical tillage, which can be managed in few other ways. It may also facilitate the process of reducing the tillage used in agricultural systems. Soils with higher organic matter content also tend to display higher water-holding capacity. Thus a further saving in energy costs can come from reduced irrigation frequency or intensity. Surprisingly little information has been collected on the impact of biochar on such parameters. However, in Ghana, kiln sites showed topsoil bulk density approximately 10% lower than in adjacent soils (Oguntunde, 2008).

3.1.7. Biochar scenarios for agriculture

In addition to the price of biochar, land-users will incur the direct costs of applying biochar to the soil. There are also potential non-monetary costs associated with the collection of straw from their land as a pyrolysis feedstock, which affects the readiness of land owners to engage in the market. In ‘closed’ systems where biochar is returned to the same land that the feedstock originated, there may be opportunity costs. Currently, no socio-economic studies exist that would address questions on these matters. However, one key advantage of a biochar strategy is that, assuming that the provision of key functions is limited only by the longevity of the biochar, its stability would dictate that annual or even regular applications would be unnecessary to obtain benefits.

Widespread use of non-waste feedstocks for energy and biochar (or only biochar) could impact not only commodity prices but, in a manner analogous to that seen with large-scale bio-ethanol production in the USA, impact on the economics of continued energy production through feedbacks on land and input prices. This raises complex socio-economic issues that must be considered (The Royal Society, 2008) and modelled (Rokityanskiy et al., 2007). Also, as for any assessment of bioenergy systems, it is essential to define boundaries that spatially allow all possible land-use effects to be assessed, in the context of the overall net greenhouse gas benefit (Searchinger et al., 2008).

The proximity of a pyrolysis facility to an adequate catchment for feedstock must be economically and logistically viable, and can potentially affect the CO2 -equivalent savings. This is the case for biomass and bioenergy facilities generally. However, for biochar the proximity of suitable locations for biochar application to soil is important as well. If the gathering of feedstock and distribution of biochar occur over the same area, the logistical and cost impacts may not be greatly affected. However, it is important to think about biochar scenarios in a spatial context (Figure 10).

Page 414: Agricultural Applications for Pine-Based BioChar

29

Figure 10. Scenario for multi-feedstock production of biochar, and multi-application use, emphasising the spatial context

Possible off-farm resources include municipal green waste from gardens and parks, composted or compostable urban waste, digested sewage sludge and mixed municipal waste. In addition, in the future, by-products of other bioenergy or bio-fuel systems may be available.

Utilisation of off-farm wastes for biochar production holds the attraction of potential cost savings from avoiding landfill or other disposal charges. In addition, compared to typical or existing disposal methods, there may be a lower emission of CH4 and N2O greenhouse gases than that emanating from direct placement in soil, enhancing the net gain in carbon equivalents through avoided emissions of high GWP gases. However, many such wastes have a high water content which will incur increased emissions (and cost) associated with higher requirement for process energy in pyrolysis.

In a ‘closed loop’ scenario, biochar is incorporated into the same land, or at least the same enterprise or groups of enterprises, from which the pyrolysis feedstock originates. A typical scenario would involve utilisation of cereal crop straw that in intensive arable areas is often, effectively, a waste product. Although there is no published laboratory work to support the use of biochar produced from wheat straw, there is limited existing information on the relative stability of biochar from rice husk, sugarcane bagasse and straw from maize. In industrial agriculture crop straw may constitute 2 t C ha-1. Putting this scenario in the context of the UK

Page 415: Agricultural Applications for Pine-Based BioChar

30

example, with approximately 4 M ha of cereal crops grown, annual total fossil fuel CO2 emissions amount to 170 M t.

Theoretical comparisons have been made for the carbon-equivalent gain offered by the pyrolysis of maize straw versus use of a dedicated biomass crop (Gaunt et al., 2008). Utilising biomass crops for energy on a large scale has a potential impact on the land available for food production and may exert new pressure on non-agricultural land use.

Biochar produced from the pyrolysis of biomass crops might be incorporated into different agricultural land from where the biomass feedstock was grown. This could be for greater agronomic gain, to apply the product in rotation over a wider area to maximise benefits, or to deal with the cumulative quantity of product. In the combined energy and bio-oil co-production case study considered by Ogawa (2006), the biochar by-product was also returned to adjacent arable land.

Most scenarios considered to date have focused on conventionally managed arable land, where biochar could be added to soil as part of an existing tillage regime. Biochar could be incorporated during conversion of land to no-till, but a strategy of integration into no-till and grazed grassland systems has not yet been considered.

3.1.7.4 Forestry

Ogawa (2006) outlined a scheme for carbon sequestration by forestation and carbonisation. This scheme revolved around fast growing plantation tree species fixing atmospheric CO2, with the products comprising not only conventional timber, wood chip, and pulp, but diversion of wastes and residues to a carbonisation procedure and re-application of this stabilised carbon back to the plantation soil. This approach has been formally proposed under the Clean Development Mechanism for a scheme in Sumatra, Indonesia.

In the state of Minas Gervais, Brazil, an existing commercial project claims, under CDM, a carbon credit for substitution of coal-derived coke for smelting of iron by pyrolysed plantation eucalypt. The project produces 300,000 t y-1 charcoal. The charcoal ‘fines’ that account for about 5% of the product are utilised for briquette manufacture rather than application into soils. In Australia, the potential for integration of oil production from oil mallee trees with processing of wood waste for production of biochar for use in crop production has been examined (McHenry, 2009).

Seifritz (1993) evaluated the size and cost of the carbon gain that could be realised by straight conversion of plantation forest biomass to stockpiled biochar. The scenario included no capture of energy in the conversion, highlighting instead the net primary productivity that is maintained by cropping, and the long lifetime of charcoal compared to the nature and fate of traditional timber products.

In the tropical context, ‘slash and char’ scenarios have been discussed, where one-off inputs of biochar are made during conversion of land from forest to agriculture (Steiner, 2006), or perhaps ‘crop and char’, with cycle of positive feedback between one-off, occasional or rotational inputs of biochar and increasing biomass productivity and feedstock resource. In both cases, pyrolysis would be performed using the most basic (and perhaps relatively inefficient) technology such as simple pits of clay kilns. However, as examples of viable, village-scale bioenergy based on gasification technology in developing countries increase, it is conceivable that technological development in tandem with increased income from ‘crop and char’ practices might ultimately realise combined biochar production and energy capture at the same scale.

In the absence of adequate technological development, charring and manufacture of charcoal may not offer the same benefits to human health as, for example, the substitution of existing biomass burning practices for basic but cleaner and more efficient combustion technology (Wang et al., 1999). Conventional charcoal production may also release methane and other trace greenhouse gases (Edwards et al., 2003). Sub-micron soot particles produced by condensation reactions in gas streams from combustion comprise the most recalcitrant forms (Figure 7) of black carbon but, despite the relatively small quantities of

Page 416: Agricultural Applications for Pine-Based BioChar

31

carbon involved, may be having an important impact on the albedo of both the global atmosphere and ice caps, altering the radiative balance and exacerbating climate change (Ramanathan et al., 2008). Currently the global emission of soot is predicted to decline as rural users of biomass in developing countries switch to clean burning fossil sources (Streets et al., 2004). Charcoal manufacture produces less soot than open burning, but despite the possible scale of future biochar production, its future contributions to the global soot inventory has not been formally examined.

3.1.8. Notes on the natural cycling of char in soil

Observation shows that wildfires are a routine natural and indeed often essential feature of many natural grassland, forest and woodland ecosystems, and fire is gradually being incorporated into global ecosystem models (Thonicke et al., 2001). Fire frequency does not appear to decrease soil C by affecting plant productivity (Ansley et al., 2006) and may increase it (Czimczik et al., 2005; Ansley et al., 2006); fire does not destabilize black carbon already present (Ansley et al., 2006) or only partially in organic boreal soils (Czimczik et al., 2005). Studies using remote sensing have attempted to quantify the pattern and frequency of burnings (Seiler et al., 1980) and most estimates suggest approximately 1-5% of standing biomass is converted to black C (Schmidt et al., 2000; Forbes et al., 2006). This figure is much lower than the figure previously proposed by Kuhlbusch (1996), who suggested sequestration into black C during the relatively recent era of forest clearance could explain up to 20% of the so-called missing carbon sink. A detailed analysis in Australia has suggested that natural fire might provide a sink equivalent to 8.3 MtC yr-1 (Graetz et al., 2003).

In fired-affected systems standing biomass remains in equilibrium, viewed over the long term. However, a modest rate of stable charcoal formation during burning means that the net result of natural fire is that the carbon content of the wider system, including the soil, should gradually increase. However, this is a slow process and difficult to measure in the field with repeated experimental burning (Dai et al., 2005). Given that the net primary productivity of biomass (60 GtC yr-1) is quite large relative to the soil C pool (1500 Gt) the black C pool should become dominant in the soil over geological time if this fraction did not degrade at all, even with occasional fire and a low charcoal conversion rate (Graetz and Skjemstad, 2003).

Thus the fact that soil carbon dynamics can be modelled by postulating a relatively small inert- or very slow-turnover pool (Falloon and Smith, 2000; Smith et al., 2000) is an indication that biochar must degrade, at some slow rate, even once transport into water and estuarine sediments is considered (Schmidt, 2004; Simpson and Hatcher, 2004b; Smittenberg et al., 2006) and accounted for (Masiello et al., 1998).

The Roth-C soil carbon model explicitly incorporates char as one of its pools (Falloon and Smith, 2000). The inert pool in the Roth-C soil carbon model represents more than simply char, but also exceptionally degraded, highly stabilised organic matter (Falloon and Smith, 2000). Radiocarbon dating can be used to experimentally refine the site-specific size of the inert pool to model total soil carbon. However, estimates for a range of sites where such data are available has suggested only a general relationship with soil texture (Falloon et al., 1998). It is likely, however, that long-term field experiments of duration useful in parameterisation of soil C models will provide the data needed to improve on the char pool in the model.

It may be significant that one experimental site where the model does not simulate field measurements well is the site of the Waite plots in Australia, where there is a documented history of burning (Coleman et al., 1997). Also in Australia, Skjemstad (2004b) demonstrated that by re-allocating carbon between soil pools according to a direct measurement of char, the Roth-C model may simulate the trajectory of carbon for a range of soils with similar burning history.

In addition, new techniques for quantifying char experimentally (see Section 2.2.3.) reveal that, when applied to a wider variety of sites, observed levels of char were considerably higher than accommodated by the modelled inert pool (Schmidt et al., 1999; Preston et al.,

Page 417: Agricultural Applications for Pine-Based BioChar

32

2006). The implications of this finding for our prediction of climate change feedbacks from enhanced decomposition will become important, as soil models are increasingly linked into global climate modelling (Lehmann and Joseph, 2009b).

Unfortunately the most reliable and direct techniques for quantifying char are currently not sufficiently practical for application at the scale useful to assessing the carbon stock that it represents, at the relevant (global) scales. However, the development of new spectral analysis techniques using mid-infrared wavelengths (Section 2.2.3) may lead to an approach that is both rapid and low cost (Janik et al., 2007).

3.2. Biochar, crop productivity and resource management

Conceptually three main mechanisms have been proposed (described in detail below) to explain how biochar might benefit crop production: (i.) direct modification of soil chemistry through its intrinsic elemental and compositional make up, (ii.) providing chemically active surfaces that modify the dynamics of soil nutrients or otherwise catalyse useful soil reactions, (iii.) modifying physical character of the soil in a way that benefits root growth and/or nutrient and water retention and acquisition.

The first mechanism may result in a temporary change in crop productivity, the size and duration of which will be dictated by the natural process of biochar weathering and the effects of crop off-take. This could occur where the biochar has significant mineral nutrient content, or conversely increase in CEC over time as the biochar weathers. If biochar releases these elements, then establishing the fate of biochar carbon during this release is extremely important in the context of the underlying rationale for biochar production and application in soil.

Benefits provided through the second and third mechanisms depend on the long-term physical persistence of biochar and may thus also be finite, although over a much longer timeframe. This would include the impact of porous biochar on water retention or lowering soil bulk density. The magnitude and the relative importance of the three mechanisms in a particular setting will evolve over time as the slow process of chemical and physical modification results in a gradually increasing concentration of smaller, partially-oxidised particles. Evidence for the general resistance of biochar to chemical and biological oxidation is addressed in an earlier section (3.1.5.).

Quantitative evidence for the stability of biochar does not equate to constancy in functional characteristics, since the chemical properties of biochar itself have been shown to develop over time, with implications for functional interactions in the soil environment. In a key multi-parameter study Cheng (2008) showed that properties that become enhanced over time are CEC and pH, as a result of gradual surface oxidation (Section 3.1.5.). The size of biochar particles is relatively rapidly decreased, concentrating in size fractions <5µm diameter (Sections 3.1.5.1. and 3.1.5.5.).

In assessing the agronomic performance of biochar, comparisons should be made against the properties of both the same feedstock un-pyrolysed and alternative biochar produced from other feedstocks. If the feedstock is produced from the same land to which the material is returned (e.g. cereal straw), biochar would not normally substitute all deliberate returns of organic matter to a soil, but rather a one-time or occasional amendment. This is important since as previously noted (Section 3.1.1.) soil fertility depends on degradation of organic matter, and the recycling of plant nutrients. Biochar should be viewed as a mechanism to enhance that process through its moderation, and not its termination. In any case, the material potentially used in pyrolysis, is roughly matched by the amount of labile organic matter exuded into the soil by the plant roots.

3.2.1. Soil fertility

Page 418: Agricultural Applications for Pine-Based BioChar

33

Expectation of increased soil fertility benefits arise from studies of the terra preta that contains high proportions of black carbon (Haumaier et al., 1995; Glaser et al., 2002; Lehmann et al., 2003; Lehmann and Rondon, 2006). The evident fertility of the terra preta is generally attributed to high soil organic matter content – organic matter assists in the retention of water, soil solution and cations – and the retentive capacity of aged biochar itself for nutrients and water (Section 3.2.3 and 3.2.4),

The black carbon present in terra preta is thought to originate from partially-combusted biomass residues derived from a range of anthropogenic activities, including kitchen fires and field burning. A particularly striking characteristic is a stronger relationship between soil carbon content and soil CEC in these soils relative to adjacent land, indicating that biochar comprises a greater proportion of soil carbon (Liang et al., 2006). Since CEC is indicative of the capacity to retain key nutrient cations in the soil in plant-available form and minimise leaching losses (Section 3.2.4), this is cited as a key factor where differences in crop productivity are observed.

High rates of biochar addition in the tropical environment have been associated with increased plant uptake of P, K, Ca, Zn and Cu (Lehmann and Rondon., 2006). In contrast to mainstream chemical fertilizer, biochar also contains bioavailable elements such as selenium that have potential to assist in enhancing crop growth.

There has been much speculation concerning the potential effects of biochar on microbial activity in soil, which in the context of terra preta has been reviewed in detail by Steiner (Steiner et al., 2003). Assuming that plant inputs and hence microbial substrate remain unchanged, enhanced microbial activity alone would diminish soil organic matter. However, this is contrary to the observation in terra preta, where soil organic matter is generally higher than in similar surrounding soil (Liang,2006). However, a change in the balance of microbial activity between different functional groups could benefit crop nutrition, specifically enhancement of mycorrhizal fungi (Ishii et al., 1994), and this could feed back into higher net primary productivity and carbon input.

There is relatively extensive literature documenting stimulation of indigenous arbuscular mycorrhizal fungi by biochar, and this has been reflected in plant growth e.g. Rondon (2007), Nishio (1996). This literature has been reviewed in some detail by Warnock (2007), who proposed four mechanistic explanations, of which a combined nutrient, water and CEC effect was considered most probable.

3.2.2. Crop yield

The majority of currently published studies assessing the effect of biochar on crop yield are generally small scale, almost all short term, and sometimes conducted in pots where environmental fluctuation is removed. These limitations are compounded by a lack of methodological consistency in nutrient management and pH control, biochar type and origin. Studies in a wide range of climates, soils and crops have been conducted. It is not therefore possible at this stage to draw any quantitative conclusion, certainly not to project or compare the impact of a particular one-time addition of biochar on long-term crop yield. Nonetheless, evidence suggests that at least for some crop and soil combinations, moderate additions of biochar are usually beneficial, and in very few cases negative.

Glaser (2001) reviewed a number of early studies conducted during the 1980s and 1990s. These tended to show marked impacts of low charcoal additions (0.5 t ha-1) on various plant species. Higher rates seemed to inhibit plant growth. In later experiments, combination of higher biochar application rates alongside NPK fertiliser increased crop yield on tropical Amazonian soils (Steiner et al., 2007) and semi-arid soils in Australia (Ogawa, 2006). Due to the year to year variation in climate and its impact on short-term dynamics, results from a number of field experiments recently set up are, whilst generating data, not yet published.

The nature and mechanistic basis for interactions between crop, soil type, biochar feedstock, production method and application rate will have to be understood to gain predictive capacity for the performance of biochar in soil, and open the possibility for large scale deployment.

Page 419: Agricultural Applications for Pine-Based BioChar

34

Table 5. Summary of experiments assessing the impact of biochar addition on crop yield

Authors Study outline Results summary Iswaran et al (1980)*

Pea, India 0.5 Mgha-1 char increased biomass 160%

Iswaran et al (1980) *

Mung bean, India 0.5 Mgha-1 char increased biomass 122%

Kishimoto & Sugiura (1985) *

Soybean on volcanic ash loam, Japan

0.5 Mgha-1 char increased yield 151% 5 Mgha-1 char decreased yield to 63% 15 Mgha-1 char decreased yield to 29%

Kishimoto & Sugiura (1985) *

Sugi trees on clay loam, Japan

0.5 Mgha-1 wood charcoal increased biomass 249% 0.5 Mgha-1 bark charcoal increased biomass 324% 0.5 Mgha-1 activated charcoal increased biomass 244%

Chidumayo, (1994}*

Bauhinia trees on alfisol/ultisol

Charcoal increased biomass by 13% and height by 24%

Glaser (2002) Cowpea on xanthic ferralsol 67 Mgha-1 char increased biomass 150% 135 Mgha-1 char increased biomass 200%

Lehmann (2003) Soil fertility and nutrient retention. Cowpea was planted in pots and rice crops in lysimeters at the Embrapa Amazonia Ocidental, Manaus, Brazil

Bio-char additions significantly increased biomass production by 38 to 45% (no yield reported)

Oguntunde (2004) Comparison of maize yields between disused charcoal production sites and adjacent fields. Kotokosu watershed, Ghana

Grain yield 91% higher and biomass yield 44% higher on charcoal site than control.

Yamato (2006) Maize, cowpea and peanut trial in area of low soil fertility

Acacia bark charcoal plus fertiliser increased maize and peanut yields (but not cowpea)

Chan (2007) Pot trial on radish yield in heavy soil using commercial greenwaste biochar (three rates) with and without N

100 t ha-1 increased yield x3; linear increase 10 to 50 t ha-1 - but no effect without added N

Rondon (2007) Enhanced biological N-2 fixation (BNF) by common beans through bio- char additions. Colombia

Bean yield increased by 46% and biomass production by 39% over the control at 90 and 60 g kg(-1) bio-char, respectively.

Steiner (2007) Four cropping cycles with rice (Oryza sativa L.) and sorghum (Sorghum bicolor L.)

Charcoal amended with chicken manure amendments resulted in the highest cumulative crop yield (12.4 Mgha-1)

Kimetu et al. (2008)

Mitigation of soil degradation with biochar. Comparison of maize yields in degradation gradient cultivated soils in Kenya.

doubling of crop yield in the highly degraded soils from about 3 to about 6 tons/ha maize grain yield

*source of selected references (Woolf 2008)

Page 420: Agricultural Applications for Pine-Based BioChar

35

3.2.3. Soil moisture retention

In soil science the following principles are widely accepted and published (summarised in Krull et al. 2004): The mineral and organic components of soil both contribute to soil water holding capacity, but only the latter can be actively managed. Water is held more tightly in small pores, so clayey soils retain more water. The lower soil bulk density generally associated with higher soil organic matter is a partial indication of how organic matter modifies soil structure and pore size distribution.

Many studies where the effect of biochar on crop yield has been assessed have cited moisture retention as a key factor in the results. Given that the pore size of biochar is relatively fixed, whereas that of the mineral soil is determined primarily by texture, it may be expected that charcoal increases available moisture in sandy soil, has a neutral effect in medium textured soils, and decreases available moisture in clayey soil. Any effect of biochar particle size may be short-lived, as it appears to physically break down into fine fractions relatively quickly (Section 3.1.5)

Experimentally, the usual technique for assessing pore size characteristics is the moisture release curve, which indicates how quickly soil moisture is drawn from a soil under increasing tension. The method is well suited to discriminating differences between soils of contrasting texture, but its sensitivity may be less satisfactory for discriminating the effect of contrasting management at one specific location: high levels of replication may be necessary to show a significant impact of a management intervention of realistic magnitude.

In a more recent study (Gaskin, 2007), moisture release curves were determined using samples of loamy sand soil from a field experiment where biochar had been added at rates up to 88 t ha-1. For soils where biochar was added at rates up to 22 t ha-1 there was no difference compared to non-amended soil, but at the highest rate the difference was significant at water potentials in the range 0.01–0.20 MPa. At the highest potential the mean volumetric water content impact was doubled by the biochar addition.

Soil temperature, soil cover, evaporation and evapotranspiration affect available water in soil. Comparison of actual volumetric water content between biochar-amended and control soils in field experiments may therefore be confounded by any indirect effect of biochar on plant growth and soil thermal properties.

Soil organic matter increases soil water holding capacity and in the biochar-enriched terra preta with their associated higher levels of soil organic matter, Glaser (2002) reported a water retention capacity that was 18% higher than in adjacent soils in which charcoal was low or absent. This was likely a combined effect of the char itself and the higher levels of organic matter that this promotes (Section 3.1.6.4).

3.2.4. Nutrient retention and use-efficiency

There are several reasons to expect that biochar might decrease the possibility of nutrient leaching in soils, and enhanced nutrient cycling has been cited in various field studies for positive impacts on yield. However, very few studies have demonstrated the effect or attempted quantitative description of the mechanism.

In general, the mineral and organic fractions of soil can both contribute to overall CEC, which affects the ability for soils to buffer periodic flushes of ammonium that result from application of chemical fertilisers or manures, or bursts of organic matter mineralisation during favourable, seasonal conditions. The adsorption of ammonium ions is a relatively loose association that does not necessarily prevent plant acquisition, yet greatly mitigates the potential for leaching loss and the diffuse pollution issues of drinking water quality and eutrophication of riverine and estuarine water bodies. Since considerable fossil energy is

Page 421: Agricultural Applications for Pine-Based BioChar

36

required to fix nitrogen into fertiliser (Section 2.1.3.6), a low ratio of fertiliser nitrogen application to crop nitrogen uptake can impact the overall carbon balance of agricultural activities (see Section 3.1.6.1). Higher fertiliser use efficiency should lead to a lower fertiliser requirement per unit yield and usually lower nitrous oxide emission (Section 3.1.6.2).

Only certain mineral constituents of soil contribute to CEC on account of abundance, and hence surface area, and mineralogy, with certain types of clay being most important. On a mass basis the exchange capacity of soil organic matter may be greater than for any clay (and up to 50 times greater), but it is a relatively small proportion of soil mass in most agricultural situations, particularly under tropical conditions. Given these factors, heavy textured soils under climates that favour higher levels of organic matter show the highest contributions of organic matter – about one-third – to total soil CEC (Stevenson, 1982). Since mineralisation of organic matter is a major source of ammonium release in soil, attempts to raise soil organic matter by increasing rates of input may not decrease – and can potentially increase – leaching losses. In addition to the chemical stabilisation of nutrients, the physical structure of soil determines its capacity to hold water, and hence soil nutrients in solution (Section 3.2.3 above).

There are several reasons to expect that biochar might modify leaching potential in soils. Available evidence suggests that on a mass basis, the intrinsic CEC of biochar is consistently higher than that of whole soil, clays or soil organic matter. An analogy may be drawn to the extreme CEC of activated carbon, which is relevant to its function as a sorption medium for decolourisation and decontamination. Since secondary thermal treatment of charcoal is one means of carbon activation, it is not surprising that the process parameters impact the CEC of primary biochar products with temperature increasing this property (Gaskin, 2007). This is a function of both enhanced specific surface area and the abundance of carboxyl carbon groups that they display. The indirect affect of biochar that may result from its modification of soil pH has not yet been included in most studies by, for example, applying lime to the control soil.

Whilst determination of CEC and water release curves in homogeneous materials such as biochar should be straightforward, it is more complex to quantitatively determine the contribution of biochar once added to soil. Furthermore, the observation that CEC of biochar may develop over time through both abiotic and biotic modification of its surfaces (Cheng et al., 2006) implies that in order to develop a predictive, quantitative understanding, methods to recover aged biochar from soil is required.

Information on the CEC of pyrolysis products is limited mainly by the availability of materials produced from a sufficiently diverse range of feedstock under different production conditions. Information on the CEC of char naturally present in soils is limited by isolation methods, so available studies tend to rely on a comparison of whole soils amended and non-amended with biochar (Lehmann, 2003; Liang, 2006).

The second mechanism for mitigation of leaching relates to the physical retention of soil water, which may be enhanced by biochar in coarse-textured soils and any indirect effect of biochar on the accumulation of soil organic matter (see previous, Section 3.2.3).

The inherent stability of biochar confers a distinction between the CEC benefits that are possible compared to other soil organic matter; importantly there is no immediate constraint to the level that can be attained by repeated addition, so in principal this capacity could be incrementally enhanced. Provided that biochar is biologically stable (Section 3.1.5), the benefit of higher CEC may be obtained without the risk of contributing to seasonal flushes of nitrate.

The possible contribution of modified soil water dynamics and CEC to the apparent effects of biochar on nitrous oxide emission were discussed in Section 3.1.6.2. In addition to mitigating greenhouse gas emissions, limiting gaseous nitrogen loss can be relevant to crop fertiliser requirement.

A beneficial impact of biochar on the plant-available phosphorus has been observed in soils enriched with biochar, which in contrast to ammonium, is not a characteristic generally

Page 422: Agricultural Applications for Pine-Based BioChar

37

associated with soil organic matter (Lehmann, 2007b; Steiner et al., 2007). In the context of nutrient availability, the impact of biochar addition on pH may be important.

3.2.5. Use of biochar to manage water quality

Biochar may offer benefits in reducing diffuse pollution originating from agriculture through deployment in soils from which polluting elements arise. It may also be possible to utilise its sorptive capacity to remove contamination in the water treatment process. Studies that demonstrate the capacity for biochar to remove nitrate (Mizuta, 2004) and phosphate (Beaton, 1960) in this context have been cited, and in by-passing the complexity of the soil system, controllability is achieved. However, whilst biochar may loosely hold nutrient elements in a plant-available form, the by-product of water treatment could also be contamination by toxic organic compounds in wastewater; biochar also has an affinity for organic compounds (Kookana, 2006). This could confound use of the post-treatment biochar product on land; the economic and overall carbon and environmental gain to be achieved from centralised versus diffuse deployment for management of water quality have yet to be assessed. The precedent for a centralised approach is the current use of activated carbon for the removal of chlorine and organic chemicals such as phenols, polychlorinated biphenyls, trihalomethanes, pesticides and halogenated hydrocarbons, heavy metals, and organic contaminants (Boateng 2007). It is not clear whether the higher surface area and sorptive capacity resulting from activation of biochar from agricultural crop wastes (Zanzi, 2001) results in significant differences compared to biochar.

3.2.6. Potential risks to soil and water from use of biochar

Charcoal production and use appears engrained in many cultures and the apparent success and longevity of the civilisation that created the terra preta provides some reassurance as to the long-term safety of biochar incorporation to soil. Currently in Japan, a strong tradition in the use of charcoal as an authorised soil improver for horticultural and agricultural applications means that 15,000 t of carbonized material is annually applied to soil (Okimori et al., 2003).

Nonetheless, a critical and non-prescriptive experimental analysis of risks that might arise from the deployment of biochar has not been undertaken according to modern criteria, taking into account all risks associated with production, distribution and physical application of biochar, as well as its impacts in the soil. The analysis must also be based around products of slow and fast pyrolysis, rather than simply biomass carbonisation.

This assessment is critical for three reasons: the irretrievability of biochar once added to soil, the apparent general permanency of biochar once in the soil and the scale and speed at which the strategy needs to be implemented to contribute to climate change mitigation. In addition, the issue of responsibility and liability with respect to large scale application to land is an impediment for companies seeking to invest in the production of biochar or the sale of food products from treated land, as well as being a moral and political issue for Government and regulatory bodies.

To date, available information is focused on the two classes of toxic compounds that are associated most often with combustion processes, namely PAHs and dioxins. Dioxins predominantly form at temperatures in excess of 1000°C and there are no published studies to confirm their absence in biochar products (Garcia-Perez, 2008).

The proliferation of PAH in secondary pyrolytic reactions above 700°C is well established (Ledesma et al., 2002), but smaller quantities may form in the temperature range of pyrolysis reactors (Garcia-Perez, 2008). Unpublished analyses of several biochar samples also found a PAH content no greater than that of bulk soil (Manning, pers. comm.); a single published study examined the full PAH profile (40 individual PAH compounds) in a number of synthetic char samples manufactured at relatively high heating rate concentrations (Brown, 2006). Total PAH concentration was 3–16 μg g-1, depending on peak temperature, compared to 28 μg g-1 in char from a prescribed burn in pine forest. Information contained in PAH may

Page 423: Agricultural Applications for Pine-Based BioChar

38

provide a measure of thermal history (Brown 2006), but empirical relationships to relate them to process parameters have not been defined.

The above analyses determine principally the total initial content. It is not clear over what timescale these compounds are altered in the soil, and most importantly, the bio-available component in soil is not known. However, it has been stated by Ahmed (1989) that whilst biochar should contain systems of PAH, existing evidence indicates that no leachable PAH is present.

No results of bio-assays using biochar in soil have been reported, nor have the appropriate biochar concentrations been defined in the context of the accumulations that might occur in water and marine sediments.

4. POLICY CONTEXT AND ANALYSIS

4.1. A framework to evaluate applications of biochar

The strategies for the use of biochar considered here are those that result in biochar being applied to soil on a significant scale. The strategies take a broad geographic perspective and look to avoid significant practical, regulatory or economic obstacles. They therefore are those situations where the benefits exceed the price of the biochar product; benefits may apply to the economy as a whole, arise from economic benefits for the individual enterprise or provide other non-monetary benefits from the use of biochar in soil. Non-monetary benefits include the opportunity cost to a biochar producer of not utilising the pyrolysis residue in combustion to realise its residual energy content.

However, the application of biochar to land must also be in accordance with regulatory frameworks and law and until relevant standards are defined, the direct costs to individual users in addressing these controls may be prohibitive. Although scenarios might involve large scale bioenergy and industrial agriculture, the same framework should be used to evaluate its potential contribution to subsistence or slash-and-burn agriculture. However, although these practices contrast quite starkly, like soil and climatic factors, farming practices occur over a continuum of different scales, and these examples sit at opposite extreme ends. As such, it will be highly advantageous to define a single framework for assessment and comparison of different biochar scenarios for their net carbon benefit and socio-economic impacts.

Separate evaluations should be made for the economic and environmental sustainability of alternative biochar scenarios. If the assured carbon-equivalent gain available using biochar is positive but the economic analysis for mainstream agriculture negative, then utilisation of economic instruments – most likely carbon trading or a subsidy that ensures biochar is used in soil rather than for combustion – is essential. The introduction, expansion or revision of such instruments that place a monetary value on the utilisation or disposal of organic waste, maintenance of soil quality and support for renewable and bioenergy as a whole may then be considered.

For any biochar scenario it is possible that the agronomic value for biochar is sufficient to render the economic evaluation positive, without resorting to carbon markets or Government incentives. Then concerted research effort will be sufficient to establish certainty around the extent and realisation of such benefits.

4.2. Scenarios for the uptake of biochar for use in soil

Even pending further research, biochar may be attractive to producers of high value crops, where certain characteristics of biochar (such as water storage) have high economic value. In these markets the price of biochar may be acceptable even in the absence of subsidy or payment. Some additional brand value may be derived from the carbon balance of the production system but would not be the driver of the system. Biochar could also be profitably

Page 424: Agricultural Applications for Pine-Based BioChar

39

employed on recreational land or on sports turf. Such applications may increase recognition, but will not provide the extent of use required to contribute to climate change mitigation.

Currently, uncertainty around the expected benefits and potential returns at current prices is likely to limit widespread use in mainstream agriculture. This uncertainty stems from inadequate understanding or quantitative description of the underlying processes and the multiplicity of potential benefits and interactions.

Key biochar characteristics will vary according to the nature of the agricultural management system, soil and climate, and may not be static over time. The number of useful biochar properties and their relative importance will vary accordingly, but at the moment the understanding necessary to produce biochar optimised to deliver a particular balance of properties – especially in tandem with viable energy capture – does not yet exist. The complexity and diversity of decision making on farms, and the susceptibility of soil management strategies to commodity prices and external economic forces is important too.

To date, assessments of the benefits to be derived from applying biochar to soil have been made on the basis of very limited experimental evidence, and are often scoping studies based on generalised situations. The sensitivity of proposed scenarios to the spatial dimension presented by climate is improving but still inadequate in predictive terms. Comprehensive, whole-system life-cycle analyses (LCA) with full accounting are required in order to avoid unintended negative consequences. In such analysis it will be recognised that deliberate accentuation of one biochar characteristic may impact on the delivery of others, for example porosity versus nutrient value. Thus not only does the predictive capacity for biochar ‘performance’ not currently exist, but the feasibility of optimising multiple useful characteristics is not known. This is inhibiting realisation of other benefits to the wider system.

In the financial evaluation of biochar technologies it is important to consider not only current prices, which are known or can be determined, but also their likely future value. Given the current trajectory of global greenhouse gas emissions, the price of emissions as a tradable commodity will be increasingly important. The future price of fossil fuel and subsidy levels for renewable energy are difficult to predict. However, the indirect gains from the use of biochar will probably increase with the future price of fossil energy, reflecting the generally energy-intensive nature of the key inputs associated in mechanised agriculture, and possibly with finite supply of water (irrigation costs). There will be a corresponding increase in value of the residual energy in biochar as fossil energy prices rise. The price of bioenergy may also be enhanced by Government subsides designed to improve energy security and promote environmental goals. In many industrialised countries the opportunity cost associated with using biochar in soil is artificially enhanced by renewable energy subsidies. The future price of grains and other commodities is difficult to predict, but changing diet, a growing global population, and increasingly limited supply of new agricultural land is likely to increase demand relative to supply.

4.3. Market intervention and carbon trading

Markets for the sale of pyrolysis feedstocks are not currently accessible, and markets for potential feedstocks are ill-developed. A market for credits relating to ‘avoided emissions’ in which land managers could engage does not yet exist. In general, there also remains a lack of knowledge and awareness of bioenergy and carbon markets, how to access these markets, and particularly a way to accurately evaluate costs and benefits associated with the use of biochar in soil.

In the absence of research to support the optimisation of biochar and its agronomic evaluation, the viability of biochar-based soil management based on carbon-offsets alone is important. However, no framework exists within which the carbon sequestered in biochar can be certified as a tradable commodity. This barrier extends beyond carbon trading under the UN Clean Development Mechanism (CDM) to the voluntary carbon markets. To date the methodology required to recognise the stabilisation of degradable organic matter as an

Page 425: Agricultural Applications for Pine-Based BioChar

40

‘avoided emission’ of CO2 has not been presented, although this is a current activity within the International Biochar Initiative.

Additional evidence for the portion of biochar that can be considered stable over the long term is required. Furthermore, research is required to determine whether the carbon-equivalent benefits of biochar application to soil extend beyond direct carbon sequestration or the avoidance of other greenhouse gas emissions. At the moment these effects are not fully understood or proven in the predictive sense, nor have the timescales over which they mainly occur been established (Section 3.1.5.). However, the existence of a current methodology for stabilisation of organic matter in avoidance of methane emission represents an important precedent (UNFCCC).

Various national Governments have implemented carbon trading schemes in order to meet emission reduction commitments under the Kyoto protocol. This has resulted in the European Union Greenhouse Gas Emission Trading Scheme and subsidiary schemes such as the UK Emissions Trading Scheme. More recently, Australia has announced plans for a Carbon Pollution Reduction Scheme (Anon, 2007c).

In these countries, their regional neighbours and in the USA there is a strong market for voluntary carbon trading carbon. Individuals or organisations engage outside of Government requirements in a market currently valued in excess of USD 30 billion yr-1. Offsets traded in the voluntary market are unregulated, and their credentials have been questioned. Biochar-based schemes should offer the opportunity to trade a more demonstrable offset (by virtue of the visibility and durability of biochar in soil), that has community as well as climate benefits through its impact on agriculture. However, there is an expectation within some NGOs that the inclusion of biochar into any carbon trading scheme will ultimately lead to large projects based around dedicated biomass crops that will not benefit agriculture and put additional pressure on rural livelihoods in developing countries as a consequence of land acquisition. Other major NGOs have not yet adopted a specific position on biochar.

Alongside the IBI, pressure groups such as the US-based Clean Air Task Force have been promoting biochar based offsets alongside other bioenergy schemes for trading in all carbon markets (Baum et al., 2006).

4.4. Market acceptability issues

There are significant organisational and institutional obstacles to the use of biochar in soil. Since biochar could be used on a wide scale and cannot be removed from soil once applied, there is a need to carefully assess any potential negatives in occupational health (possible inhalation risks from physical application to soil), environmental pollution (particulates travelling into water or air), water quality (impacts on aquatic life and water treatment) and food safety (surface and systemic contamination of food products). Since several sectors are involved – broadly water, waste and food safety – it requires a concerted effort to evaluate potential products, and ideally define product standards. Support for the use of biochar in meeting policy objectives will draw upon life-cycle analysis with full greenhouse accounting, backed by a body of experimental data. Where biochar is designated as a regulated waste material, land-users in many countries may be subject to a complex and expensive approval process pending defined standards.

However, the political and economic case for using food crops as feedstock for liquid biofuel production (bioethanol), or devoting large land areas to biomass production for bioenergy, is increasingly challenged in the context of rising commodity prices and increasing land pressure. Strategies based around pyrolysis with the use of biochar in soil are distinct from these, since productivity and sustainability of land is potentially enhanced. Globally, rising prices favour cash-crop farming, and the economic case for applying biochar to land is likely to improve.

The lack of mechanistic understanding as to the function of biochar and its interaction with already complex soil processes, mean predicting the return to an investment in biochar between locations in terms of extent, predictability and durability of benefits does not yet

Page 426: Agricultural Applications for Pine-Based BioChar

41

exist. Providing a measure of certainty to the many possible benefits is a key challenge to be addressed by further research.

4.5. Research

To date there are a limited number of examples of large-scale publicly funded research initiatives that assess the use and optimisation of biochar for use in soil. In New Zealand the Massey University has a Biochar Research Initiative. In the UK the Engineering and Physical Sciences Research Council supports two established projects, one building capacity in technology for fast pyrolysis (as part of a wider bioenergy initiative, SUPERGEN) and testing by-products in soil, and the other developing Carbon Sequestration and Capture technology. Brazil has funded second and third tier levels within ‘macro-programs’ defined by the research organisation, EMBRAPA. These will extend field experimentation to create new terra preta (terra preta nova). At Federal Government level, the US has created the Farm Bill that supports ‘biochar research development and demonstration’ which seeks to enhance agricultural energy programs (Anon, 2007b). Biochar was specifically mentioned in the Garnaut Climate Change Review in Australia (Garnaut, 2008) and has been raised in Environment Select Committee discussions in the UK.

Currently much of our understanding of the long-term dynamics of biochar is based on studies of charcoal from natural fire, new charcoal produced using traditional methods or analogous procedures undertaken in the laboratory. Studies in Brazil use charcoal fines (waste) from industrially produced charcoal. However, only a small number of comprehensive studies using the products of commercial bioenergy plants currently exist, and although the conditions used to produce these products has been guided by preliminary studies, those conditions may not have been optimised for the soil into which they have been incorporated. The only full-scale field trials using biochar from slow pyrolysis energy plants are being conducted in NY, USA (<http://www.css.cornell.edu/faculty/lehmann/research/biochar/biocharproject.html>). .

5. RESEARCH PRIORITIES AND FUTURE CHALLENGES

Based on the results of this review, the following research priorities have been identified:

1) Determine a predictive relationship for properties and qualities of biochar and its manufacture such that it can be optimised for use in soil.

2) Examine how the possibility of adverse impacts on the soil and atmosphere can be eliminated with certainty.

3) Model the impact of alternate bioenergy systems on the carbon cycle at the global scale, and in the context of national targets, in order to support policy decisions and devise suitable market instruments.

Since the underlying context for biochar-based strategies is that of global climate change, research needs to provide answers that are applicable under diverse combinations of climate, agriculture and energy production systems. This requires a fundamental, mechanistic understanding of how biochar provides its unique functional characteristics, probably embodied in models, and would include its interactions with other living and non-living components of soil.

Globally coordinated research activity across a range of countries and climates is necessary if the global applicability of knowledge gained is to be rigorously assessed.

Page 427: Agricultural Applications for Pine-Based BioChar

42

5.1. Fundamental mechanisms

The fundamental mechanisms by which biochar could provide beneficial function to soil and the wider function of the agro-ecosystem are poorly described in terms of providing the predictive capacity that is required. In short-term experiments of months to a few years, biochar addition seems to generally enhance plant growth and soil nutrient status and decrease N2O emissions. Yet surprisingly little is yet published concerning how these benefits occur, or particularly why the effects are quantitatively so variable according to crop, soil and application rate. Soil-biochar dynamics need to be investigated. The required understanding will have to be obtained in the following areas: a) Functional interactions with soil microbial communities. Biochar may modify the

symbiotic relationships that exist in the rhizosphere, that is between plants and microbes in close proximity to the root. At the moment the net effect of physical protection provided to microbial colonies, and adequate access of the same colonies to labile and soluble carbon substrates is not yet known. The component of biochar stability provided by association of individual biochar particles and fine mineral particles has not been established, and the role of microbial and rhizosphere secretions in promoting them will be important. Fundamentally, the apparent conflict between high stability, soil organic matter accumulation and apparent enhancement of soil microbial activity needs to be resolved. Useful methods will separate indirect effects of increased water holding capacity or altered water release characteristics, pH effects, and allow for their potentially transitory nature.

b) Surface interactions. It seems that as the exchange capacity of biochar surfaces develops over time, the contribution of feedstock and production parameters to the trajectory of its development will need to be established. Once the relative importance of biotic and abiotic processes in promoting this development are known, and the net effect of any simultaneous change in the ratio of external- to internal-surface resulting from physical disintegration under soil movement quantified, the net effect of climate might be predicted. Interaction of biochar with anions, most importantly phosphate, needs to be established, and the extent to which nutrient effects are internal, i.e. derived from within the biochar (finite), and external, supplied by the wider soil, must be determined.

c) Nutrient use efficiency. Understanding the link between biochar function and its interaction with nutrient elements and crop roots may enable fertiliser use efficiency to be enhanced and diffuse pollution of watercourses and wetlands.

d) Soil physical effects. The intrinsic contribution that biochar can make to the wetability of soil, water infiltration, water retention, macro-aggregation and soil stability is poorly understood – yet should be of critical importance in tropical environments in combating erosion, mitigating drought and nutrient loss, and in general to enhance groundwater quality. The loss of biochar through vertical or lateral flow is not well understood; only recently have studies been initiated to examine movement down the soil profile.

e) Fate of biochar. The stability of biochar carbon is intrinsic to fulfilling its role as a significant CO2 sink, but in order to perform an agronomic role, it must also remain within the soil to which it is applied. The environmental role or impact of biochar once it has moved through a soil profile, or into watercourses, is yet to be assessed. Information on the extent to which physical breakdown of biochar changes the balance in its properties, particularly with respect to soil water dynamics, exchange capacity and soil micro-and macro-aggregation is lacking. Methods are urgently required to assess the long-term biological stability of specific biochar samples, possibly extrapolating from the dynamics of atypically high initial rates of decomposition.

f) Impacts on soil N2O and CH4 emission. Published data for the effect on trace gas emission is extremely limited, but has a potentially great impact on the net benefit of a biochar strategy. Good predictive models will be necessary for this to be reflected in future

Page 428: Agricultural Applications for Pine-Based BioChar

43

accounting for biochar projects, and at the moment there is not a clear mechanism for the effect.

g) Plant physiological responses to biochar ultimately dictate impacts on growth and yield and need to be directly targeted in future work.

5.2. Properties, qualities and environmental risk assessment

As the mechanisms underlying biochar function in soil become understood, biochar products can be optimised to deliver specific benefits using a defined screening procedure based on relevant properties. Research tools for comparing different biochar products already exist from at least two decades of work on charcoal and other black carbon in soils: 13C nuclear magnetic resonance spectroscopy has proved perhaps the most useful in revealing gross differences in composition at the functional group level. However, a screening approach should be defined by relevant properties rather than available measurement techniques. Also a cheap and rapid method procedure appropriate to routine analysis has not been identified. The following research is needed:

a) Scoping. A comprehensive and systematic analysis of commercially available biochar products, including charcoal produced by industrial- and farm-scale carbonisation processes, to scope the boundaries of variation in compositional and functional characteristics of biochar. This should utilise all available techniques and link to a database recording the type of biomass from which the biochar was produced, and the type and details of the production process for correlative analysis.

b) Benefits and risks. Thorough environmental and agronomic evaluation of biochar in soil will enhance its acceptability as a large-scale offsetting and sequestration strategy for CO2. However, the incorporation of biochar into soil is irreversible and therefore must be safe, with biochar products free of potentially harmful contaminants.

a) Inventory. A systematic screening of biochar products is required, in tandem with the above, to establish the presence and absence of phytotoxic materials that could conceivably be formed during pyrolysis. This will establish the range of potentially harmful chemical contaminants present and their peak concentrations, providing evidence essential to the preparation of risk assessments. Key compounds will be polycyclic aromatic hydrocarbons, established products of partial combustion, and residual oils and acids.

b) Air pollution. The environmental impact of vapours and gases produced in open combustion associated with traditional charcoal production and in sub-surface combustion, needs to be carefully evaluated, along with the technological developments required to address it. These emissions can cancel out carbon sequestration if not contained or used in the process.

c) Waste pyrolysis. The potential for urban waste to be used in biochar production needs to be assessed. A risk-based approach may dictate that such materials are more suitable for gasification than pyrolysis if harmful compounds are abundant. It is not known whether the low quality biochar produced from these waste streams is suitable to deliver sequestration and soil benefits.

d) Indirect impacts. The implications of rapid expansion in biomass pyrolysis on agricultural and natural land areas is a concern through, for example, the expansion of fast-growing plantation forest for production of feedstocks for biochar or charcoal production. There is also the possibility of increased deforestation if the technology is allowed to expand in an uncontrolled way.

e) Scrubbing air pollutants. Biochar has been reported to scrub CO2, nitrous oxides and sulphur dioxide from fuel gas, creating a nitrogen-rich biochar product that could substitute conventionally produced chemical fertiliser. Since this approach addresses the practicality of application and offers added benefits, it needs to be pursued and refined.

Page 429: Agricultural Applications for Pine-Based BioChar

44

5.3. Carbon cycle modelling

Two types of carbon modelling are required: static spreadsheet models to compare alternative scenarios for their relative carbon-equivalent gain, and mechanistic soil simulation models that capture information from short term experiments to predict longer-term impacts on soil function. In addition, socio-economic models that incorporate a spatial dimension are required to assess the workability of particular scenarios.

a) Modelling net carbon gain. So far only generic, theoretical analyses have been published. Full assessment spreadsheet models based on improved experimental evidence are required to conduct ‘what-if’ comparisons of alternative strategies for specific feedstock streams and pyrolysis facilities, taking the spatial dimension of feedstock supply and biochar use into account.

b) Mechanistic soil modelling. Modelling of the linked carbon and nitrogen cycles in soil with and without intervention using biochar is essential to understanding the fundamental mechanisms referred to above, and the impact on soil-based emissions of greenhouse gases. Modelling of soil carbon currently relies on conceptual pools, and essentially ignores black carbon from a mechanistic perspective. Progress in this area is dependent on improved quantification methods for biochar in soil.

c) Economic models. Conceptual and actual geographic boundaries must be carefully set when assessing a particular scenario, accounting for the entire supply chain. Socio-economic constraints relevant to the application of biochar must be recognised.

d) Audit. A standard methodology for validation and audit of biochar application is required that ideally permits the source of a particular biochar application to be confirmed retrospectively.

e) Databases. International support for a global system that enables optimal biochar products to be selected for application in a particular location and system. The only such database initiated to date is CharDB, at Terra Carbona (<http://terracarbona.org/chardb/>).

5.4. Beneficiaries

Pyrolysis enterprises. In areas where biochar may be produced for agricultural or environmental gain rather than energy production, NGOs may be interested in exploring the pyrolysis biochar technology. Market development would facilitate the dialogue between producers and investors as well as researchers and users. Currently the amount of biochar available for use as a soil amendment (and hence carbon sequestration) is limited to an extent where even assessment of products for non-energy use is limited.

Charcoal producers. Traditional producers may experience expansion in the market for charcoal if its use as a soil amendment is supported by land-users for carbon sequestration or enhancing soil fertility. There is a precedent for charcoal being produced on a commercial scale within Europe, with almond charcoal supplied to power companies in Spain.

Water companies. Larger scale production of activated charcoal from pyrolysis-derived biochar could reduce costs. Large scale use of biochar on agricultural land in intensively farmed areas may also reduce diffuse pollution and the need, and hence costs, for treatment of water.

Land users. Individual farms or farming consortia would benefit due to greater profitability as a result of savings on energy and fertilisers. Remediation of degraded or contaminated land using biochar could be supported through Government, engaging the agricultural community and supported by environmentally-oriented incentives and subsidy.

Page 430: Agricultural Applications for Pine-Based BioChar

45

5.5. Commentary on likely barriers to the adoption of a large scale enterprises utilising Biochar

If the technical limitations described above are addressed and if biochar-related techniques are judged to be viable methods to address climate and agricultural problems, then it is likely that additional barriers to widespread adoption will remain. This section provides a commentary on these barriers.

The economics of biochar production will be fundamentally altered once methodology has been proposed and adopted with regard to carbon offset values, in the voluntary market, and as a longer-term possibility, certification under the United Nations Framework Convention on Climate Change (UNFCCC) clean development mechanism (CDM).

A streamlined regulatory framework may be essential to avoid stifling initial interest in the use of biochar products in mainstream agriculture. Government policies to help ensure continuity of feedstock supply to pyrolysis enterprises could assist in establishment of the industry; subsidy arrangements could be adopted that favour rather than discriminate against the use of biochar in soil.

A routine standard method to quantify biochar in soil is essential to realise the research agenda. Supply of biochar material from commercial pyrolysis facilities is currently extremely limited and localised, inhibiting research activity. Biochar is highly heterogeneous, so standards and quality control need to be defined and certified.

Association of pyrolysis with wider bioenergy technology and specifically the biofuel debate presents an image problem in the wake of diminished global grain stocks and rising commodity prices. However, this could also present forums where the principle and multiple benefits of biochar-based strategies can be discriminated and promoted.

The multi-disciplinary nature of the biochar concept seems to inhibit large-scale funding of the extensive research agenda, particularly the large sums required for long term trials. It also appears that assigning responsibility for researching biochar within Government and between public and private sectors is challenging. Funding for testing commercial products may be borne by companies producing the products, but such activities will need to be integrated with public sector science to address the wider climate change agenda.

Page 431: Agricultural Applications for Pine-Based BioChar

46

REFERENCES

Ahmed, A., Pakdel, H., Roy, C., Kaliaguine, S., 1989. Characterization of the solid residues of vacuum pyrolysis of Papulus Tremuloides. Journal of Analytical and Applied Pyrolysis 14, 281-294.

Anon, 2007a. Early action - abatement incentives prior to the commencement of the Australian Emissions Trading Scheme. In: The Australian Government, Department of the Prime Minister and Cabinet, pp. 16.

Anon, 2007b. Harvesting Energy Act of 2007. In: US Senate, United States of America.

Anon, 2007c. Australia's climate change policy : our economy, our environment, our future. In: The Australian Government.

Anon, 2008. Gasification: redefining clean energy. In: Gasification Technologies Council, Arlington, VA, pp. 25.

Ansley, R.J., Boutton, T.W., Skjemstad, J.O., 2006. Soil organic carbon and black carbon storage and dynamics under different fire regimes in temperate mixed-grass savanna. Global Biogeochemical Cycles 20, B3006.

Arias, B., Pevida, C., Fermoso, J., Plaza, M.G., Rubiera, F., Pis, J.J., 2008. Influence of torrefaction on the grindability and reactivity of woody biomass. Fuel Processing Technology 89, 169-175.

Ascough, P.L., Bird, M.I., Brock, F., Higham, T.F.G., Meredith, W., Snape, C.E., Vane, C.H., 2008. Hydropyrolysis as a new tool for radiocarbon pretreatment and the quantification of black carbon.

Baldock, J.A., Smernik, R.J., 2002. Chemical composition and bioavailability of thermally altered Pinus resinosa (Red pine) wood. Organic Geochemistry 33, 1093-1109.

Bapat, H.D., Manahan, S.E., 1998. Chemchar gasification of hazardous wastes and mixed wastes on a biochar matrix. Abstracts of Papers of the American Chemical Society 215, U571-U571.

Baskin, Y., 2006. Slash-and-char improves Amazonian soil. BioScience 56, 368.

Baum, E., Weitner, S., 2006. Biochar application on soils and cellolosic ethanol production. In: Clean Air Task Force, Washington.

Bhogal, A., Chambers, B.J., Whitmore, A.P., Powlson, D.S., 2007. The effects of reduced tillage practices and organic material additions on the carbon content of arable soils. In: Defra, London.

Blanco-Canqui, H., Lal, R., 2008. No-tillage and soil-profile carbon sequestration: an on-farm assessment. Soil Science Society of America Journal 72, 693-701.

Bridgewater, A.V., 2004. Biomass fast pyrolysis. Thermal Science 8, 21-49.

Bridgewater, A.V., 2006. Biomass for energy. Journal of the Science of Food and Agriculture 86, 1755-1768.

Page 432: Agricultural Applications for Pine-Based BioChar

47

Brodowski, S., John, B., Flessa, H., Amelung, W., 2006. Aggregate-occluded black carbon in soil. European Journal of Soil Science 57, 539-546.

Bruun, S., Luxhoi, J., 2008. Is biochar production really carbon-negative? Environmental Science & Technology 42, 1388-1388.

Castro, M.S., Steudler, P.A., Melillo, J.M., Aber, J.D. and Bowden, R.D., 1995. Factors Controlling Atmospheric Methane Consumption by Temperate Forest Soils, Global Biogeochem. Cycles 9, 1–10.

Chan, K.Y., Van Zwieten, L., Meszaros, I., Downie, A., Joseph, S., 2007. Agronomic values of greenwaste biochar as a soil amendment. Australian Journal of Soil Research 45, 629-634.

Cheng, C.-H., Lehmann, J., Thies, J.E., Burton, S.D., Engelhard, M.H., 2006. Oxidation of black carbon by biotic and abiotic processes. Organic Geochemistry 37, 1477-1488.

Cheng, C.-H., Lehmann, J., Engelhard, M.H., 2008. Natural oxidation of black carbon in soils: Changes in molecular form and surface charge along a climosequence. Geochimica et Cosmochimica Acta 72, 1598-1610.

Coleman, K., Jenkinson, D.S., 1996. RothC-26.3 - a model for the turnover of carbon in soil. In: Powlson, D.S., Smith, P., Smith, J.U. (Eds.), Evaluation of soil organic matter models. Springer Verlag, Berlin Heidelberg, pp. 237-246.

Coleman, K., Jenkinson, D.S., Crocker, G.J., Grace, P.R., Klir, J., Korschens, M., Poulton, P.R., Richter, D.D., 1997. Simulating trends in soil organic carbon in long-term experiments using RothC-26.3. Geoderma 81, 29-44.

Crutzen, P.J., 2006. Albedo enhancement by stratospheric sulfur injections: A contribution to resolve a policy dilemma?. Climatic Change 77, 211-219.

Crutzen, P.J., Andreae, M.O., 1990. Biomass burning in the tropics: impact on atmospheric chemistry and biogeochemical cycles. Science 250, 1669-1678.

Czimczik, C.I., Masiello, C.A., 2007. Controls on black carbon storage in soils. Global Biogeochemical Cycles 21, B3005.

Czimczik, C.I., Schmidt, M.W.I., Schulze, E.D., 2005. Effects of increasing fire frequency on black carbon and organic matter in Podzols of Siberian Scots pine forests. European Journal of Soil Science. Blackwell Publishing, Oxford, UK 56, 417-428.

Dai, X., Boutton, T.W., Glaser, B., Ansley, R.J., Zech, W., 2005. Black carbon in a temperate mixed-grass savanna. Soil Biology & Biochemistry 37, 1879-1881.

Das, K.C., Garcia-Perez, M., Bibens, B., Melear, N., 2008. Slow pyrolysis of poultry litter and pine woody biomass: Impact of chars and bio-oils on microbial growth. Journal of Environmental Science and Health: Part A 43, 714-724.

Day, D., Hawkins, B., 2007. Getting back to the garden. BioScience 57, 814-815.

Day, D., Evans, R.J., Lee, J.W., Reicosky, D., 2005. Economical CO2, SOx, and NOx capture from fossil-fuel utilization with combined renewable hydrogen production and large-scale carbon sequestration. Energy 30, 2558-2579.

Page 433: Agricultural Applications for Pine-Based BioChar

48

De la Rosa, J.M., Knicker, H., Lopez-Capel, E., Manning, D.A.C., Gonzalez-Perez, J.A., Gonzalez-Vila, F.J., 2008. Direct detection of black carbon in soils by Py-GC/MS, carbon-13 NMR spectroscopy and thermogravimetric techniques. Soil Science Society of America Journal 72, 258-267.

Demirbas, A., 2004. Effects of temperature and particle size on bio-char yield from pyrolysis of agricultural residues. Journal of Analytical and Applied Pyrolysis 72, 243-248.

Demirbas, A., 2006. Production and characterization of bio-chars from biomass via pyrolysis. Energy Sources Part A 28, 413-422.

Demirbas, A., Pehlivan, E., Altun, T., 2006a. Potential evolution of Turkish agricultural residues as bio-gas, bio-char and bio-oil sources. International Journal of Hydrogen Energy 31, 613-620.

Demirbas, A., Arslan, G., Pehlivan, E., 2006b. Recent studies on activated carbons and fly ashes from Turkish resources. Energy Sources Part A 28, 627-638.

Edwards, R.D., Smith, K.R., Zhang, J., Yuqing, M., 2003. Models to predict emissions of health-damaging pollutants and global warming contributions of residential fuel/stove combinations in China. Chemosphere 50, 201-215.

Falloon, P., Smith, P., Coleman, K., Marshall, S., 1998. Estimating the size of the inert organic matter pool from total soil organic carbon content for use in the Rothamsted carbon model. Soil Biology & Biochemistry 30, 1207-1211.

Falloon, P.D., Smith, P., 2000. Modelling refractory soil organic matter. Biology and Fertility of Soils 30, 388-398.

Fang, C., Smith, P., Smith, J.U., 2006. Is resistant soil organic matter more sensitive to temperature than the labile organic matter? Biogeosciences 3, 65-68.

Fernandes, M.B., Brooks, P., 2003a. Characterization of carbonaceous combustion residues: II. Nonpolar organic compounds. Chemosphere 53, 447-458.

Fernandes, M.B., Skjemstad, J.O., Johnson, B.B., Wells, J.D., Brooks, P., 2003b. Characterization of carbonaceous combustion residues: I. Morphological, elemental and spectroscopic features. Chemosphere 51, 785-795.

Ferrio, J.P., Alonso, N., Voltas, J., Araus, J.L., 2006. Grain weight changes over time in ancient cereal crops: Potential roles of climate and genetic improvement. Journal of Cereal Science 44, 323-332.

Forbes, M.S., Raison, R.J., Skjemstad, J.O., 2006. Formation, transformation and transport of black carbon (charcoal) in terrestrial and aquatic ecosystems. Science of the Total Environment 370, 190-206.

Fowles, M., 2007. Black carbon sequestration as an alternative to bioenergy. Biomass and Bioenergy 31, 426-432.

Friedl, A., Padouvas, E., Rotter, H., Varmuza, K., 2005. Prediction of heating values of biomass fuel from elemental composition. Analytica Chimica Acta 544, 191-198.

Page 434: Agricultural Applications for Pine-Based BioChar

49

Fushimi, C., Araki, K., Yamaguchi, Y., Tsutsumi, A., 2003. Effect of heating rate on steam gasification of biomass 2. Thermogravimetric-mass spectrometric (TG-MS) analysis of gas evolution. Industrial & Engineering Chemistry Research 42, 3929-3936.

Garcia-Perez, M., 2008. The formation of polyaromatic hydrocarbons and dioxins during pyrolysis. In: Washington State University.

Garnaut, R., 2008. The Garnaut Climate Change Review. ICambridge University Press, Port Melbourne, 680p. http://www.garnautreview.org.au/domino/Web_Notes/Garnaut/garnautweb.nsf

Gaskin, J.W., Speir, A., Morris, L.M., Ogden, L., Harris, K., Lee, D., Das, K.C., 2007. Potential for pyrolysis char to affect soil moisture and nutrient status of loamy sand soil. In: Georgia Water Resources Conference. University of Georgia.

Gaunt, J.L., Lehmann, J., 2008. Energy balance and emissions associated with biochar sequestration and pyrolysis bioenergy production. Environmental Science & Technology 42, 4152-4158.

Gerc el, H.F. and Pu tu n, E., 2002, Fast pyrolysis of sunflower-pressed bagasse: Effects of sweeping gas flow rate. Energy Sources 24, 451-460.

Glaser, B., Balashov, E., Haumaier, L., Guggenberger, G., Zech, W., 2000. Black carbon in density fractions of anthropogenic soils of the Brazilian Amazon region. Organic Geochemistry 31, 669-678.

Glaser, B., Haumaier, L., Guggenberger, G., Zech, W., 2001. The 'Terra Preta' phenomenon: a model for sustainable agriculture in the humid tropics. Naturwissenschaften, 37-41.

Glaser, B., Lehmann, J., Zech, W., 2002. Ameliorating physical and chemical properties of highly weathered soils in the tropics with charcoal – a review. Biology and Fertility of Soils 35, 219-230.

Graetz, R.D., Skjemstad, J.O., 2003. The charcoal sink of biomass burning on the Australian continent. In: CSIRO, Victoria, pp. 61.

Gulde, S., Chung, H., Amelung, W., Chang, C., Six, J., 2008. Soil carbon saturation controls labile and stable carbon pool dynamics. Soil Science Society of America Journal 72, 605-612.

Hamer, U., Marschner, B., Brodowski, S., Amelung, W., 2004. Interactive priming of black carbon and glucose mineralisation. Organic Geochemistry 35, 823-830.

Hammes, K., Schmidt, M.W.I., Smernik, R.J., Currie, L.A., Ball, W.P., Nguyen, T.H., Louchouarn, P., Houel, S., Gustafsson, O., Elmquist, M., Cornelissen, G., Skjemstad, J.O., Masiello, C.A., Song, J., Peng, P., Mitra, S., Dunn, J.C., Hatcher, P.G., Hockaday, W.C., Smith, D.M., Hartkopf-Froder, C., Bohmer, A., Luer, B., Huebert, B.J., Amelung, W., Brodowski, S., Huang, L., Zhang, W., Gschwend, P.M., Flores-Cervantes, D.X., Largeau, C., Rouzaud, J.N., Rumpel, C., Guggenberger, G., Kaiser, K., Rodionov, A., Gonzalez-Vila, F.J., Gonzalez-Perez, J.A., Rosa, J.M.d.l., Manning, D.A.C., Lopez-Capel, E., Ding, L., 2007. Comparison of quantification methods to measure fire-derived (black/elemental) carbon in soils and sediments using reference materials from soil, water, sediment and the atmosphere. Global Biogeochemical Cycles 21, 1-18.

Harder, B., 2006. Smouldered earth policy. Science 169, 133.

Page 435: Agricultural Applications for Pine-Based BioChar

50

Haumaier, L., Zech, W., 1995. Black carbon - possible source of highly aromatic components of soil humic acids. Organic Geochemistry 23, 191-196.

Ishii, T., Kadoya, K., 1994. Effects of charcoal as a soil conditioner on citrus growth and vesicular-arbuscular mycorrhizal development. Journal of the Japanese Society for Horticultural Science 63, 529-535.

Janik, L.J., Skjemstad, J.O., Shepherd, K.D., Spouncer, L.R., 2007. The prediction of soil carbon fractions using mid-infrared-partial least square analysis. Australian Journal of Soil Research 45, 73-81.

Janzen, H.H., 2006. The soil carbon dilemma: Shall we hoard it or use it? Soil Biology & Biochemistry 38, 419-424.

Ketterings, Q.M., Bigham, M., 2000. Soil color as an Indicator of slash-and-burn fire severity and soil fertility in Sumatra, Indonesia. Soil Science Society of America Journal 64, 1826-1833.

Knicker, H., 2007. How does fire affect the nature and stability of soil organic nitrogen and carbon? A review. Biogeochemistry 85, 91-118.

Krull, E.S., Baldock, J.A., Skjemstad, J.O., 2003. Importance of mechanisms and processes of the stabilisation of soil organic matter for modelling carbon turnover. Functional Plant Biology 30, 207-222.

Krull, E.S., Skjemstad, J.O., Baldock, J.A., 2004. Functions of soil organic matter and the effect on soil properties. In: Grains Research and Development Corporation, pp. 129. http://www.grdc.com.au/uploads/documents/cso000291.pdf

Kuhlbusch, T.A.J., 1998. Black carbon and the carbon cycle. Science 280, 1903-1904.

Kuhlbusch, T.A.J., Andreae, M.O., Cachier, H., Goldammer, J.G., Lacaux, J.P., Shea, R., Crutzen, P.J., 1996. Black carbon formation by savanna fires: Measurements and implications for the global carbon cycle. Journal of Geophysical Research 101, 23651–23665.

Kuwagaki, H., Tamura, K., 1990. Aptitude of wood charcoal to a soil improvement and other. non-fuel use. In: Mitigation and adaptation strategies for global change.

Laird, A.D., 2008. The charcoal Vision: A win-win-win scenario for simultaneously producing bioenergy, permanently sequestering carbon, while improving soil and water quality. Agronomy Journal 100, 178-181.

Lal, R., 1997. Residue management, conservation tillage and soil restoration for mitigating greenhouse effect by CO2-enrichment. Soil and Tillage Research 43, 81-107.

Ledesma, E.B., Marsh, N.D., Sandrowitz, A.K., Wornat, M.J., 2002. Global kinetic rate parameters for the formation of polycyclic aromatic hydrocarbons from the pyrolysis of catechol, a model compound representative of solid fuel moieties. Energy and Fuels 16, 1331-1336.

Lehmann, J., 2007a. A handful of carbon. Nature 447, 143-144.

Lehmann, J., 2007b. Bio-energy in the black. Frontiers in Ecology and the Environment 5, 381-387.

Page 436: Agricultural Applications for Pine-Based BioChar

51

Lehmann, C.J. and Rondon, M., 2006. Bio-char soil management on highly-weathered soils in the tropics. In: Uphoff, N.T. (Ed.), Biological Approaches to Sustainable Soil Systems. CRC Press, Boca Raton, pp. 517-530.

Lehmann, C.J. and Sohi, S.P., 2008. Comment on “Fire-derived charcoal causes loss of forest humus". Science 321, 1295c.

Lehmann, C.J. and Joseph, S., 2009a. Biochar systems. In: Lehmann, C.J., Joseph, S. (Eds.), Biochar for environmental management: science and technology. Earthscan.

Lehmann, J. and Joseph, S., 2009b. Biochar for environmental management: science and technology. In: Earthscan, London.

Lehmann, C.J., da Silva Jr, J.P., Rondon, M., C.M., D.S., Greenwood, J., Nehls, T., Steiner, C., Glaser, B., 2002. Slash-and-char - a feasible alternative for soil fertility management in the central Amazon? In: 17th World Congress of Soil Science. Bangkok.

Lehmann, J., da Silva Jr, J.P., Steiner, C., Nehls, T., Zech, W., Glaser, B., 2003. Nutrient availability and leaching in an archaeological Anthrosol and a Ferralsol of the Central Amazon basin: fertilizer, manure and charcoal amendments. Plant & Soil 249, 343-357.

Lehmann, J., Kern, D.C., Glaser, B. and Woods, W.I. 2003. Amazonian Dark Earths: Origin, Properties, Management. Kluwer Academic Publishers, The Netherlands, 523p.

Lehmann, C.J., Czimczik, C.I., Sohi, D.L.S.P., 2009. Stability of biochar in soil ecosystems. In: Lehmann, C.J., Joseph, S. (Eds.), Biochar for environmental management: science and technology.

Lehmann, J., Gaunt, J., Rondon, M., 2005a. Bio-char sequestration in terrestrial ecosystems - a review. Mitigation and adaptation strategies for global change.

Lehmann, J., Liang, B.Q., Solomon, D., Lerotic, M., Luizao, F., Kinyangi, J., Schafer, T., Wirick, S., Jacobsen, C., 2005b. Near-edge X-ray absorption fine structure (NEXAFS) spectroscopy for mapping nano-scale distribution of organic carbon forms in soil: Application to black carbon particles. Global Biogeochemical Cycles 19.

Lehmann, J., Skjemstad, J., Sohi, S., Carter, J., Barson, M., Falloon, P., Coleman, K., Woodbury, P., Krull, E., 2008. Australian climate-carbon cycle feedback reduced by soil black carbon. Nature Geoscience 1: 832-835.

Liang, B., Lehmann, J., Solomon, D., Kinyangi, J., Grossman, J., O'Neill, B., Skjemstad, J.O., Thies, J., Luizao, F.J., Petersen, J., Neves, E.G., 2006. Black Carbon increases cation exchange capacity in soils. Soil Science Society of America Journal 70, 1719-1730.

Marris, E., 2006. Black is the new green. Nature 442, 624-626.

Masiello, C.A., 2004. New directions in black carbon organic geochemistry. Marine Chemistry 92, 201-213.

Masiello, C.A., Druffel, E.R.M., 1998. Black carbon in deep-sea sediments Science 280, 1911-1913.

Matthews, J.A., 2008. Carbon negative biofuels. Energy Policy 36, 940-945.

Page 437: Agricultural Applications for Pine-Based BioChar

52

McConnell, J.R., Edwards, R., Kok, G.L., Flanner, M.G., Zender, C.S., Saltzman, E.S., Banta, J.R., Pasteris, D.R., Carter, M.M., Kahl, J.D.W., 2007. 20th-century industrial black carbon emissions altered arctic climate forcing. Science.

McGill, W.B., 1996. Review and classification of ten soil organic matter (SOM) models. In: Powlson, D.S., Smith, P., Smith, J.U. (Eds.), Evaluation of soil organic matter models. Springer Verlag, Berlin Heidelberg, pp. 111-132.

McHenry, M. P., 2009. Agricultural bio-char production, renewable energy generation and farm carbon sequestration in Western Australia: Certainty, uncertainty and risk. Agriculture, Ecosystems & Environment 129, 1-7.

Mouillot, F., Field, C.B., 2005. Fire history and the global carbon budget: a 1 degrees x 1 degrees fire history reconstruction for the 20th century. Global Change Biology 11, 398-420.

Murage, E.W., Voroney, P., Beyaert, R.P., 2007. Turnover of carbon in the free light fraction with and without charcoal as determined using the 13C natural abundance method. Geoderma 138, 133-143.

Nishio, M., 1996. Microbial fertilizers in Japan. In: National Institute of Agro-Environmental Sciences, Ibaraki, Japan.

Ogawa, M., 1994. Tropical agriculture using charcoal. Farming Japan 28, 21–35.

Ogawa, M., Okimori, Y., Takahashi, F., 2006. Carbon sequestration by carbonization of biomass and forestation: three case studies. Mitigation and adaptation strategies for global change 11, 429-444.

Oguntunde, P.G., Abiodun, B.J., Ajayi, A.E., van de Giesen, N., 2008. Effects of charcoal production on soil physical properties in Ghana. Journal of Plant Nutrition and Soil Science 171, 591-596.

Okimori, Y., Ogawa, M., Takahashi, F., 2003. Potential of CO2 emission reductions by carbonizing biomass waste from industrial tree plantation in south Sumatra , Indonesia. Mitigation and adaptation strategies for global change 8, 261-280.

Özçimen, D. and Karaosmanoglu, F., 2004. Production and characterization of bio-oil and biochar from rapeseed cake. Renewable Energy 29,779-787

Palm, C.A., Gachengo, C.N., Delve, R.J., Cadisch, G., Giller, K.E., 2001. Organic inputs for soil fertility management in tropical agro ecosystems: application of an organic resource database. Agriculture, Ecosystems and Environment 16, 27-42.

Pekrun, C., Kaul, H.-P., Claupein, W., 2003. Soil tillage for sustainable nutrient management. In: El Titi, A. (Ed.), Soil tillage in agroecosystems. CRC Press.

Preston, C.M., Schmidt, M.W.I., 2006. Black (pyrogenic) carbon: a synthesis of current knowledge and uncertainties with special consideration of boreal regions. Biogeosciences Discussions 3, 397-420.

Prins, M.J., Ptasinski, K.J., Janssen, F.J.J.G., 2006. Torrefaction of wood Part 2. Analysis of products. Journal of Analytical and Applied Pyrolysis 77, 35-40.

Page 438: Agricultural Applications for Pine-Based BioChar

53

Pu tu n, A.E., Biomass to bio-oil via fast pyrolysis of cotton straw and stalk, 2002. Energy Sources 24: 275-285.

Quénéa, K., Derenne, S., Rumpel, C., Rouzaud, J.-N., Gustafsson, O., Carcaillet, C., Mariotti, A., Largeau, C., 2006. Black carbon yields and types in forest and cultivated sandy soils (Landes de Gascogne, France) as determined with different methods: Influence of change in land use. Organic Geochemistry 37, 1185-1189.

Ramanathan, V., Carmichael, G., 2008. Global and regional climate changes due to black carbon. Nature Geoscience 1, 221-227.

Ramankutty, N., Evan, A.T., Monfreda, C., Foley, J.A., 2008. Farming the planet: 1. Geographic distribution of global agricultural lands in the year 2000. Global Biogeochemical Cycles 22, Online.

Renner, R., 2007. Rethinking biochar. Environmental Science & Technology 41, 5932-5933.

Rhodes, A.H., Carlin, A., Semple, K.T., 2008. Impact of black carbon in the extraction and mineralization of phenanthrene in soil. Environmental Science & Technology 42, 740-745.

Rokityanskiy, D., Benítez, P.C., Kraxner, F., McCallum, I., Obersteiner, M., Rametsteiner, E., Yamagata, Y., 2007. Geographically explicit global modeling of land-use change, carbon sequestration, and biomass supply. Technological Forecasting & Social Change 74, 1057-1082.

Rondon, M.A., Lehmann, J., Ramirez, J., Hurtado, M., 2007. Biological nitrogen fixation by common beans (Phaseolus vulgaris L.) increases with bio-char additions. Biology and Fertility of Soils 43, 699-708.

Schlesinger, W.H., 2000. Carbon sequestration in soils: some cautions amidst optimism. Agriculture Ecosystems & Environment 82, 121-127.

Schmidt, M., 2004. Carbon budget in the black. Nature 427, 305-307.

Schmidt, M.W.I. and Noack, A.G., 2000. Black carbon in soils and sediments: Analysis, distribution, implications, and current challenges. Global Biogeochemical Cycles 14, 777-793.

Schmidt, M.W.I., Skjemstad, J.O., Gehrt, E., Kogel-Knabner, I., 1999. Charred organic carbon in German chernozemic soils. European Journal of Soil Science 50, 351-365.

Schmidt, M.W.I., Skjemstad, J.O., Czimczik, C.I., Glaser, B., Prentice, K.M., Y.Gelinas, Kuhlbusch, T.A.J., 2001. Comparative analysis of black carbon in soils. Global Biogeochemical Cycles 15, 163-167.

Schneur, E.A., 1966. Oxidation of graphitic carbon in certain soils. Science 151, 991-992.

Schulze, E.-D., Wirth, C., Heimann, M., 2000. Managing forests after Kyoto. Science 289, 2058-2059.

Scott, A. C., Cripps, J. A., Collinson, M. E. and Nichols, G. J. (2000) The taphonomy of charcoal following a recent heathland fire and some implications for the interpretation of fossil charcoal deposits. Palaeogeography, Palaeoclimatology and Palaeoecology, 164, 1-31.

Page 439: Agricultural Applications for Pine-Based BioChar

54

Searchinger, T., Heimlich, R., Houghton, R.A., Dong, F., Elobeid, A., Fabiosa, J., Tokgoz, S., Hayes, D., Yu, T.-H., 2008. Use of U.S. croplands for biofuels increases greenhouse gases through emissions from land-use change. Science 213, 1238-1240.

Seifritz, W., 1993. Should we store carbon in charcoal? International Journal of Hydrogen Energy 18, 405-407.

Seiler, W., Crutzen, P.J., 1980. Estimates of gross and net fluxes of carbon between the biosphere and the atmosphere from biomass burning. Climatic Change 2, 207-247.

Sensöz, S., 2003, Slow pyrolysis of wood barks from Pinus brutia Ten. and product compositions. Bioresource Technology 89, 307-311

Shinogi, Y., Yoshida, H., Koizumi, T., Yamaoka, M., Saito, T., 2002. Basic characteristics of low-temperature carbon products from waste sludge. Advances in Environmental Research 7, 661-665.

Simpson, M.J. and Hatcher, P.G., 2004a. Determination of black carbon in natural organic matter by chemical oxidation and solid-state 13C nuclear magnetic resonance spectroscopy. Organic Geochemistry 35, 923-935.

Simpson, M.J. and Hatcher, P.G., 2004b. Overestimates of black carbon in soils and sediments. Naturwissenschaften 91, 436-440.

Skjemstad, J.O., Taylor, J.A., Smernik, R.J., 1999. Estimation of charcoal (char) in soils. Communications in Soil Science and Plant Analysis 30, 2283-2298.

Skjemstad, J.O., Dalal, R.C., Janik, L.J., McGowan, J.A., 2001. Changes in chemical nature of soil organic carbon in Vertisols under wheat in south-eastern Queensland. Australian Journal of Soil Research 39, 343-359.

Skjemstad, J.O., Spouncer, L.R., Cowie, B., Swift, R.S., 2004a. Calibration of the Rothamsted organic carbon turnover model (RothC ver. 26.3), using measurable soil organic carbon pools. Australian Journal of Soil Research. CSIRO Publishing, Collingwood, Australia 42, 79-88.

Skjemstad, J.O., Spouncer, L.R., Cowie, B., Swift, R.S., 2004b. Calibration of the Rothamsted organic carbon turnover model (RothC ver. 26.3) using measurable soil organic carbon pools. Australian Journal of Soil Research 42, 79-88.

Smernik, R.J. and Oades, J.M., 2000. The use of spin counting for determining quantitation in solid state 13C NMR spectra of natural organic matter: 2. HF-treated soil fractions. Geoderma 96, 159-171.

Smernik, R.J., Skjemstad, J.O., Oades, J.M., 2000. Virtual fractionation of charcoal from soil organic matter using solid state 13C NMR spectral editing. Australian Journal of Soil Research 38, 665-683.

Smernik, R.J., Baldock, J.A., Oades, J.M., Whittaker, A.K., 2002. Determination of T1ph relaxation rates in charred and uncharred wood and consequences for NMR quantitation. Solid State Nuclear Magnetic Resonance 22, 50-70.

Smith, N.J.H., 1999. The Amazon River forest: a natural history of plants, animals, and people. Oxford University Press, New York.

Page 440: Agricultural Applications for Pine-Based BioChar

55

Smith, P., Powlson, D.S., Glendining, M.J., Smith, J.U., 1998. Preliminary estimates of the potential for carbon mitigation in European soils through no-till farming. Global Change Biology 4, 679-685.

Smith, P., Milne, R., Powlson, D.S., Smith, J.U., Falloon, P., Coleman, K., 2000. Revised estimates of the carbon mitigation potential of UK agricultural land. Soil Use and Management 16, 293-295.

Smittenberg, R.H., Eglinton, T.I., Schouten, S., Sinninghe Damsté, J.S., 2006. Ongoing build-up of refractory organic carbon in boreal soils during the Holocene. Science 314, 1283-1286.

Sohi, S.P., Yates, H.C., Lehmann, J., Liang, B., Gaunt, J.L., 2006. Evaluating C dynamics in terra preta. In: World Soils Congress. Philadelphia.

Solomon, D., Lehmann, J., Thies, J., Schäfer, T., Liang, B., Kinyangi, J., Neves, E., Petersen, J., Luizo, F. and Skjemstad, J., 2007. Molecular signature and sources of biochemical recalcitrance of organic C in Amazonian Dark Earths. Geochimica et Cosmochimica Acta 71: 2285-2298. DOI 10.1016/j.gca.2007.02.014 3.6/0

Steiner, C., Teixeira, W., Lehmann, J., Zech, W., 2003. Microbial response to charcoal amendments of highly weathered soils and Amazonian Dark Earths in Central Amazonia – preliminary results. In: Lehmann, J., Kern, D.C., Glaser, B., Woods, W.I. (Eds.), Amazonian dark earths: origin, properties, management. Kluwer Academic Publishers, Dordrecht.

Steiner, C., Teixeira, W.G., Lehmann, J., Nehls, T., MacêDo, J.L.V., Blum, W.E.H., Zech, W., 2007. Long term effects of manure, charcoal and mineral fertilization on crop production and fertility on a highly weathered Central Amazonian upland soil. Plant and Soil 291, 275-290.

Steiner, C., Keshav, C.D., Garcia, M., Forster, B., Zech, W., 2008. Charcoal and smoke extract stimulate the soil microbial community in a highly weathered xanthic Ferralsol. Pedobiologia 51, 359-356.

Stewart, C.E., Paustian, K., Conant, R.T., Plante, A.F., Six, J., 2007. Soil carbon saturation: concept, evidence and evaluation. Biogeochemistry 86, 19-31.

Streets, D.G., Bond, T.C., Lee, T., Jang, C., 2004. On the future of carbonaceous aerosol emissions. Journal of Geophysical Research-Atmospheres 109, 19.

Tanaka, S., 1963. Fundamental study on wood carbonization. In: Bulletin of Experimental Forest of Hokkaido University.

The Royal Society, 2008. Sustainable biofuels: prospects and challenges. In: The Royal Society, London, pp. 84.

Thonicke, K., Venevsky, S., Sitch, S., Cramer, W., 2001. The role of fire disturbance for global vegetation dynamics: coupling fire into a Dynamic Global Vegetation Model. Global Ecology and Biogeography 10, 661-677.

Tomaszewski, J.E., Werner, D., Luthy, R.G., 2007. Activated carbon amendment as a treatment for residual DDT in sediment from a superfund site in San Francisco Bay, Richmond, California, USA. Environmental Toxicology and Chemistry, 2143–2150.

Page 441: Agricultural Applications for Pine-Based BioChar

56

Ueno, M., Kawamitsu, Y., Komiya, Y., Sun, L., 2007. Carbonisation and gasification of bagasse for effective utilisation of sugarcane biomass. International Sugar Journal 110, 22-26.

UNFCCC, Indicative simplified baseline and monitoring methodologies for selected small-scale CDM project activity categories. In: Board, C.E. (Ed.), Avoidance of methane production from biomass decay through controlled pyrolysis. United Nations.

Wang, X., K.R., S., 1999. Secondary benefits of greenhouse gas control: health impacts in China. Environmental Science & Technology 33, 3056-3061.

Wardle, D.A., Nilsson, M.-C., Zackrisson, O., 2008. Fire-derived charcoal causes loss of forest humus. Science 320, 629.

Warnock, D.D., Lehmann, J., Kuyper, T.W., Rillig, M.C., 2007. Mycorrhizal responses to biochar in soil – concepts and mechanisms. Plant & Soil 300, 9-20.

Watts, C.W., Whalley, R.W., Brookes, P.C., Devonshire, B.J., Whitmore, A.P., 2005. Biological and physical processes that mediate micro-aggregation of clays. Soil Science 170, 573-583.

Winsley, P., 2007. Biochar and bioenergy production for climate change mitigation. New Zealand Science Review 64, 1-10.

Woolf, D., 2008. Biochar as a soil amendment: A review of the environmental implications. In: Swansea.

Yaman, S., 2004. Pyrolysis of biomass to produce fuels and chemical feedstocks. Energy Conversion and Management 45 651-671.

Yamato, M., Okimori, Y., Wibowo, I.F., Anshori, S., Ogawa, M., 2006. Effects of the application of charred bark of Acacia mangium on the yield of maize, cowpea and peanut, and soil chemical properties in South Sumatra, Indonesia. Soil Science and Plant Nutrition 52, 489 - 495.

Yanai, Y., Toyota, K., Okazaki, M., 2007. Effects of charcoal addition on N2O emissions from soil resulting from rewetting air-dried soil in short-term laboratory experiments. Soil Science and Plant Nutrition 53, 181-188.

Young, A., 1804. Paring and burning. In: . (Ed.), The farmers calendar. Richard Phillips, London, pp. 171-182.

Yu, X.-Y., Ying, G.-G., Kookana, R.S., 2006. Sorption and desorption dehaviors of diuron in soils amended with charcoal. Journal of Agricultural and Food Chemistry 54, 8545–8550.

Page 442: Agricultural Applications for Pine-Based BioChar
Page 443: Agricultural Applications for Pine-Based BioChar

World Journal of Agricultural Sciences 3 (5): 572-575, 2007ISSN 1817-3047© IDOSI Publications, 2007

Corresponding Author: Dr. A.A. Odunsi, Department of Animal Production and Health, Ladoke Akintola University ofTechnology, P.M.B. 4000, Ogbomoso, Nigeria

572

Response of Broiler Chickens to Wood Charcoal and Vegetable Oil Based Diets

A.A. Odunsi, T.O. Oladele, A.O. Olaiya and O.S. Onifade

Department of Animal Production and Health,Ladoke Akintola University of Technology, P.M.B. 4000, Ogbomoso, Nigeria

Abstract: An experiment was carried out to determine whether Wood Charcoal (WC) would affect growthperformance, carcass characteristics and blood profiles of broilers and to determine whether Vegetable Oil (VO)supplementation would influence similar parameters in broiler chickens fed WC. Dietary WC was incorporatedinto broiler starter and finisher diets at 0, 2.5, 5.0 and 7.5% levels while diets containing 2.5 and 5.0%WC wereeach supplemented with 1.5%VO to make six dietary treatments. Results showed that feed intake (F1) wassignificantly increased in broilers fed 5% WC with or without VO while birds on other diets had similar (p>0.05)intake. Body Weight Gain (BWG) and feed conversion ratio (FCR) were significantly better (p<0.05) on birdsfed without WC compared to those fed on WC based diets. Supplementation with VO only gave marginalimprovement on performance indices when compared with the corresponding WC based diets without VO.However, the performance criteria used (F1, BWG and FCR) were still not commensurate to the control diet.Carcass yield, liver, spleen and kidney did not show any major variations (p>0.05) among dietary treatmentswhile lung, heart and gizzard indicated significant differences (p<0.05). The packed cell volume, haemoglobin,red blood cell and white blood cell, MCV, MCH, MCHC values obtained for the six treatments were notstatistically (p>0.05) different from each other. The present study appeared not to justify the dietary inclusionof WC in broiler chicken diets and its use in broiler diets is not recommended.

Key words: Wood charcoal % vegetable oil % broilers % growth performance % carcass yield % hematology

INTRODUCTION whether Vegetable Oil (VO) supplementation would affect

In Nigeria and indeed many other countries, variousfeeds and additives are incorporated into poultry diets to MATERIALS AND METHODensure maximum productivity. Most of the additives areused depending on area and the ease of use. Moreover, Experimental diets and their composition: Woodmost of these materials are not cited in the scientific Charcoal (WC) was obtained from a local market inliterature but are used locally, for instance wood charcoal Ogbomoso and ground through a mill to pass a 1mm[4, 6]. It was reported by Kutlu et al. [4] that some local sieve. As ground, it contained 946g DM/Kg, 154g ash/kg,poultry producers in Turkey claimed that 20-50 g wood 97.5g crude fibre/kg, 10.8g ether extract/kg, 19.6g crudecharcoal per kg diet prevents fatness and improve protein/kg and 664.1 g nitrogen free extracts/kg. Six dietsperformance of broilers and layers. In view of these each were formulated during the starter (1-5 weeks) andassertions, we have attempted to validate this claim in our finisher (5-9 weeks) phases. Diet I was designated as thelaboratory because wood charcoal is widely available in control without WC while diets 2, 3 and 4 contained 2.5,Nigeria and so far, no reports can be cited as to its 5.0 and 7.5% WC respectively. Diets 5 and 6 werenutritional use apart from being a suitable and alternative formulated to contain 2.5 and 5.0% WC respectively eachcheaper source of generating heat. supplemented with 1.5% Vegetable Oil (VO). The diet

The present study was therefore conceived to composition for the two phases is shown in Table 1.determine whether dietary wood charcoal applied atgraded levels would influence growth performance, Experimental birds and management: A total of 200hematology and carcass characteristics and to determine unsexed Anak 2000 broiler chicks were procured from

similar parameters in broiler chicken fed wood charcoal.

Page 444: Agricultural Applications for Pine-Based BioChar

World J. Agric. Sci., 3 (5): 572-575, 2007

573

Table 1: Composition and nutrient contents of broiler starter and finisher diets (%)

Starter diets Finisher diets

---------------------------------------------------------------------------------- ----------------------------------------------------------------------------------1 2 3 4 5 6 1 2 3 4 5 6

Ingredients 0 2.5 5.0 7.5 2.5+VO 5.0+VO 0 2.5 5.0 7.5 2.5+VO 5+VO

Maize 52.7 49.7 43.7 47.7 47.8 44.9 58.4 55.4 53.4 49.4 52.5 49.5Groundnut cake 30.6 31.1 31.6 32.1 31.5 32.0 25.4 25.9 26.4 26.9 27.3 27.8

Wood charcoal 0.0 2.5 5.0 7.5 2.5 5.0 - 2.5 5.0 7.5 2.5 5.0a

Vegetable oil - - - - 1.5 1.5 - - - - 1.5 1.5

Fish meal 5 5 5 5 5 5 2.5 2.5 2.5 2.5 2.5 2.5Wheat offal 8 8 8 8 8 8 10 10 10 10 10 10

Bone meal 2 2 2 2 2 2 2 2 2 2 2 2Oyster shell 1 1 1 1 1 1 1 1 1 1 1 1

Salt 0.25 0.25 0.25 0.25 0.25 0.25 0.25 0.25 0.25 0.25 0.25 0.25Methionine 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2

Premix 0.25 0.25 0.25 0.25 0.25 0.25 0.25 0.25 0.25 0.25 0.25 0.25

AnalysesDry matter 91.8 91.8 91.8 91.8 91.7 91.8 91.3 91.5 91.6 91.3 91.5 91.2

Crude protein 22.9 22.8 22.9 22.9 22.9 23.0 19.3 19.4 19.6 19.5 19.4 19.5Ether extract 8.79 8.73 8.66 8.59 8.68 8.57 5.64 5.35 5.47 5.31 6.38 6.74

Crude fibre 3.46 3.50 3.52 3.56 3.46 3.49 4.84 4.05 4.25 4.65 4.28 4.15Crude ash 3.47 3.66 3.86 4.05 3.67 3.86 2.85 2.96 2.39 3.14 2.94 2.59

NFE 53.2 53.1 52.9 52.7 53.0 52.9 59.5 59.8 58.6 58.6 58.4 58.2

Wood charcoal contains ( %); DM, 94.6, CP, 1.96; EE, 1.08; CF, 9.75; Ash, 15.4, NFE, 64.41a

Farm Support Services, Ibadan and fed a commercial cut-up parts and organs were separately weighed andbroiler starters mash (24%CP/2900 ME kcal/kg) for 1 week. expressed as a percentage of dressed weight. BloodSubsequently, one hundred and eighty birds were samples were collected on the 63 day of the trial from 3weighed and randomly allotted to the six dietary birds per treatment during slaughter. The samples weretreatments in triplicate lots of 10 chicks each using the collected in bottles containing ethylene tetra-acetic acidcompletely randomized design. (EDTA) as anticoagulant. They were then taken to the

The six experimental starter and finisher diets were laboratory for hematological analyses that includedprovided to the birds during the starter (1-5 weeks) and Packed Cell Volume (PCV), erythrocyte (red blood cell),finisher (5-9 weeks) phases respectively. The groups were leucocytes (white blood cell) and haemoglobin. The Meankept in a floor-littered poultry house situated at the Cell Volume (MCV), Mean Cell Haemoglobin (MCH) andUniversity Teaching and Research farm, Ogbomoso. Feed Mean Cell Haemoglobin Concentration (MCHC) wereand water were provided ad libitum. Other routine calculated. The hematological parameters were determinedmanagement practices such as vaccination, drug as described by Davice and Lewis [2].administration and maintenance of cleanliness in and out The proximate compositions of wood charcoalof the poultry house were applied. and experimental diets were determined according to

Initial body weights of the birds were taken on AOAC [1]. Data collected were analyzed by analysis ofreplicate basis at the start of the study and thereafter on variance technique and the Duncan’s multiple rangeweekly basis. Weekly feed intake was also recorded. The technique was used to detect differences among treatmentmean daily weight gain, daily feed intake and feed to gain means [8].ratio were thus calculated from the data obtained duringthe starter, finisher and overall experimental period. On RESULTS AND DISCUSSIONday 63, 2 birds of mean weight close to the average groupweight were randomly selected from each of the 18 The growth performance data of broiler chickens fedreplicates and starved of feed for 12 hours in order to wood charcoal based diets supplemented with or withoutempty their crops. The birds were exsanguinated, vegetable oil during the starter, finisher and overalldefeathered, eviscerated and dressed. Each bird’s carcass, experimental periods is shown in Table 2. At the starter

rd

Page 445: Agricultural Applications for Pine-Based BioChar

World J. Agric. Sci., 3 (5): 572-575, 2007

574

Table 2: Effect of providing wood charcoal and supplemental VO on growth, performance of broilers at starter, finisher and the overall experimental periodVariable Control 2.5%WC 5%WC 7.5%WC 2.5%WC+VO 5.0%WC*VO SEMDays 7-35BWG (g/b) 20.5 19.5 22.4 17.3 22.2 21.4 0.95a a a b a a

Feed intake (g/b) 48.6 50.9 54.0 49.0 50.5 51.0 1.44 b b a b b b

FCR(F1/BWG) 2.37 2.61 2.41 2.84 2.73 2.38 0.46 c b c a b c

Days 35-63BWG 50.3 44.5 42.6 41.8 44.7 44.5 1.30a b b b b b

Feed intake 129.2 127.9 135.4 122.4 127.4 132.3 2.55 b b b c b a

FCR 2.57 2.87 3.18 2.93 2.84 2.97 0.12c b a a b a

Days 7-63BWG 35.3 32.0 32.5 29.6 33.5 33.0 0.60 a b b b b b

Feed intake 88.8 89.4 94.7 85.7 88.8 93.2 2.06b b a c b a

FCR 2.52 2.79 2.91 2.90 2.65 2.68 0.07 b 1b a a c c

a, b, c: Means within a row with similar superscripts are not significantly different (p>0.05)

Table 3: Effect of dietary charcoal wood on carcass weight, carcass yield, cut-up parts and organ weights of broilersDiets----------------------------------------------------------------------------------------------------------------------------------------------------------0%WC 2.5%WC 5%WC 7.5%WC 2.5%WC+P0 5%WC+P0

Variable 1 2 3 4 5 6 SEMCarcassCarcass weight (g/b) 1445.3 1260.4 1303.1 1155.3 1470.8 1387.9 28.02a b ab c a a

Carcass yield (% ) 73.1 70.3 71.6 69.7 78.4 75.1 0.34a a a b a a

Abdominal fat (%) 0.95 0.65 0.61 0.54 0.69 0.71 0.09a b b c b b

Relative cut-up parts (% of CW)Wing 12.7 12.6 11.4 11.5 11.8 11.5 0.79Thigh 19.2 16.7 22.9 19.2 19.0 17.1 0.30Drum stick 14.6 13.7 14.8 15.1 14.7 15.7 0.47Breast 25.3 25.3 27.6 25.1 24.4 24.5 0.35Back 18.9 21.4 19.4 19.2 19.9 20.8 0.24Neck 6.96 6.96 6.90 7.03 7.89 7.07 0.07 Relative organ weights (% of CW)Liver 2.17 2.3 2.23 2.46 1.95 2.41 0.07Kidney 0.51 0.97 1.0 0.98 0.83 0.96 0.04Lung 0.54 0.74 0.66 0.74 0.73 0.73 0.02Heart 0.54 0.57 0.47 0.53 0.42 0.50 0.01Spleen 0.12 0.11 0.11 0.23 0.07 0.11 0.12Gizzard 2.72 3.30 2.39 2.80 2.60 2.51 0.72

phase, feed intake was highest (p<0.05) for broilers on 5% increased in broilers fed 5% WC with or without VOWC diet while other treatments had similar intake. Body while birds fed 7.5%WC diet had the least (p<0.05)weight gain was similar across the dietary groups with the consumption. Body Weight Gain (BWG) and Feedexception of broilers fed 7.5% WC based diets. Feed/gain Conversion Ratio (FCR) were significantly betterratio was significantly (p<0.05) better for birds fed on the (P<0.05) on birds fed the control diet compared to thosecontrol diet, 5% WC and 5% WC+VO diets compared to fed WC based diets without VO. The increase in feedthe other dietary groups however, broilers fed on 7.5% consumption for birds fed 5%WC did not really translateWC had the worst feed conversion ratio. to higher weight gain. However, the slight improvement in

During the finisher phase, birds fed the control diet weight gain observed with the addition of VO is asignificantly (p<0.05) gave the highest BWG. Broilers on reflection of the positive attributes of vegetable oil in5% WC with or without VO had the highest (p<0.05) feed poultry diets. Vegetable oil increases energy density,consumption while the least intake was recorded for birds reduces dustiness and increase vitamin A concentrationfed 7.5% WC diet. The control diet exhibited the best-feed in diets [7, 9].conversion ratio. Charcoal supplementation was reported to induce a

Considering the overall feeding period (combined small reduction in feed intake, egg production and feedstarter/finisher phases), feed intake was significantly conversion ratio [4]. The reduction in feed intake was

Page 446: Agricultural Applications for Pine-Based BioChar

World J. Agric. Sci., 3 (5): 572-575, 2007

575

Table 4: Effect of dietary wood charcoal and supplemental vegetable oil on hematology of broilers

Diets

----------------------------------------------------------------------------------------------------------------------------------------

Variables 1 2 3 4 5 6 SEM

Packed cell volume (%) 29.00 26.50 25.50 24.50 26.00 25.00 0.24

Haemoglobin (gm %) 9.67 8.83 8.50 8.17 8.60 8.33 0.124

Red blood cell x10 4.83 4.42 4.25 4.05 4.30 4.15 0.586

White blood cell x10 8.83 9.03 9.95 9.60 6.23 6.35 0.573

Mean cell volume 59.90 60.00 60.00 60.60 60.50 60.40 0.58

Mean cell Haemoglobin 3.33 3.33 3.33 3.33 3.31 3.33 0.003

Mean cellHaemoglobin

concentrations 199.90 199.90 200.00 201.80 200.00 201.20 1.89

attributed to a higher bulk density of charcoal which was Majewska and Zaborowski, [5] Majewska, et al. [6]. So,why VO was included in diets 5 and 6 to reduce bulkiness using WC in broiler diets is not recommended.and dustiness. The blackening of the feed by the charcoalmight cause a degree of unpalatability [3]. This might REFERENCESaccount for the significant reduction in intake for broilerson 7.5% WC. Previous studies [5, 6] opined that the use 1. AOAC. 1990. The official methods of analysis.of charcoal had a beneficial effect on the development of Association of Official Analytical Chemists, 13 Edn.chickens and turkeys. For instance [5] observed that after Washinghton DC.7 weeks of growth, birds which received supplemental 2. Davice, J.U. and S.M. Lewis, 1991. Practicalcharcoal were about 1-6.5% heavier, had a 5.9% better haematology 8 edition. Longman Ltd London,feed conversion efficiency and a 1.6% better survival rate pp: 22-48.than the control group without wood charcoal. Similarly, 3. Jindal, N., S.K. Mahipal and N.K. Mahajan,Majewska et al. [6] reported that turkeys given charcoal 1994. Toxicity of aflatoxin B3 in broiler chicks andsupplemental feeds were 5.9% heavier and had a 6.5% its reduction by activated charcoal, Res. Vet. Sci.,better feed conversion ratio than the control birds. 56: 37-40.Survival in the groups that received charcoal was 99% as 4. Kutlu, H.R., I. Unsal and M. Gorgulu, 2001. Effect ofcompared to the 87.3% in the control group. providing dietary wood (oak) charcoal to broiler

The carcass yield, cut-up parts and organ weights of chicks and laying hens. Anim. Feed Sci. Tech.,broilers fed WC and supplemental vegetable oil diets are 90: 213-226.shown in Table 3 while the hematological indices are 5. Majewska, T. and M. Zaborowski, 2003. Charcoal inindicated in Table 4. Broiler chickens fed 7.5%WC had the the nutrition of broiler chickens. Medycynaleast percentage carcass yield and abdominal fat among Weterynaryjina, 59: 81-83.the dietary groups. Broiler cut-up parts and hematological 6. Majewska, T., D. Pyrek and A. Faruga, 2002. A noteparameters did not exhibit any major discernible response on the effect of charcoal supplementation on thewith the use of WC or supplemental VO in their diets. performance of Big 6 heavy tom turkeys. J. Anim.However, the lung, heart and gizzard showed slight Feed Sci., 11: 135-141.(p>0.05) changes among the dietary groups. These 7. Odunsi, A.A. and A.A. Onifade, 1998. Effect of zincshowed that wood charcoal used in this study had no bacitracin supplementation of broiler chick dietsmajor physiological effects on tissue or organ containing a low or high vegetable oil concentrationdevelopment and functions. However a positive in the tropics. Trop. Vet., 16: 51-57.development is the reduction in the abdominal fat 8. Steel, R.G.D. and J.H. Torrie, 1980. Principles anddeposition in broilers fed WC based diets relative to the procedures of statistics. A biometrical approach. 2control group. edition McGraw Hill Books Co., New York, USA

This pilot study reported here demonstrated that the 9. Zollitscha, W., W. Knausa, A. Aichinegera and F.wood charcoal incorporated into broiler chicken diet did Lettnera, 1997. Effects of different dietary fat sourcesadversely affect broiler performance during the entire on performance and carcass characteristics offeeding period as opposed to reports by Kutlu et al. [4] broilers. Anim. Feed. Sci. Technol., 66: 283-287.

th

th

nd

Page 447: Agricultural Applications for Pine-Based BioChar

Majewska T., Pyrek D., Faruga A.

T. Majewska, Department of Poultry Science, University of Warmia and Mazury in Olsztyn, Oczapowskiego 5, 10-718 Olsztyn, Poland

A note on the effect of charcoal supplementation on the performance of Big 6 heavy tom turkeys

The experiment was conducted on 204 Big 6 heavy tom turkeys. One-day-old chicks were allocated to two feeding groups, each with three replicates of 34 birds. All of the birds were fed identical granulated standard feeds in a three-stage system. The control birds were fed unsupplemented feed, the birds in the treatment group received a feed supplemented with pulverized hardwood charcoal at a dose of 3 kg/ton. Charcoal was given from day one of life for the entire period of rearing. The use of charcoal had a beneficial effect on performance. After 18 weeks of rearing, turkeys given charcoal-supplemented feed were 5.9% heavier (on average 870 g) and had a 6.5% better feed conversion ratio than the control birds. Survival in the group receiving charcoal was 99% as compared with 87.3% in the control group. The crude protein content of the breast muscles of the experimental group increased significantly. The European Production Index equaled 393 for the control group and 504 for the charcoal-supplemented group. Journal of Animal and Feed Sciences 2002, vol: 11, number: 1, pages: 135-141

Page 448: Agricultural Applications for Pine-Based BioChar

Majewska T., Zaborowski M. Charcoal in the nutrition of broiler chickens The aim of the research was to define the influence of charcoal added to the standard feed mixtures during their production or directly before feeding broiler chickens on the latter’s development. The experiment was conducted on 180 Starbro chickens. One-day-old chicks were allocated into 3 feeding groups, with two replicates of 30 birds each. The birds of all groups were fed identical standard mixtures in a three-stage system: Starter, Grower and Finisher. The control birds were fed only with standard mixtures. The birds in group 2 received the same mixtures but supplemented with pulverized hard-wood charcoal at a dose of 3 kg/ton (together 100.3%), added at the moment of production of the mixtures, about 2 weeks before the feeding. The birds from group 3 received mixtures with charcoal supplemented during the feeding at a dose of 0.3% (together 100.3%). In both cases the use of charcoal had a beneficial effect on the development of the chickens. After 7 weeks of growth, birds which received supplemented charcoal were from 22 g to 157 g (about 1 to 6.5 %) heavier, had a 5 to 9 % better feed conversion ratio and a 1.6% better survival rate than the control group. The Fattening Efficiency Index equaled 209 for the control group, 246 for group 2 and 262 for group 3. Medycyna Weterynaryjna, 2003, vol: 59, number 1, pages 81-83

Page 449: Agricultural Applications for Pine-Based BioChar

156 Evaluation of char and active carbon for the reduction ofammonia volatilization from poultry manure. C. Ritz*, A. Tasistro,B. Fairchild, and B. Bibens, University of Georgia, Athens.Locally available biomass materials, such as peanut hulls or tree clippings,have the potential for use as raw materials for producing charsand active carbons. Chars have long been known to possess propertiesthat make them valuable environmental tools. One such application isthe adsorption of NH3. By properly activating the char, ammonia can becaptured on its surface. Active carbon can be found in numerous productsdesigned to absorb moisture and odors, such as carbon filters for usein drinking water filtration and air purification. Chemical adsorption ofammonia is mostly due to its interaction with oxygen functional groupsvia hydrogen bonding. It is expected that chars used with poultry litterapplication will perform mostly based on their chemisorption capacity.The purpose of this study was to evaluate the effectiveness of char andactive carbon on reducing ammonia volatilization from poultry manurewhen used as a surfaced-applied litter treatment. Char from peanut hullwaste was produced by pyrolysis, wherein the material was heated to400°C in the absence of oxygen for 30 minutes. The unamended peanuthull char (pH 9.20) and an acidified poultry litter char (53% sulfuricacid) were applied to replicate pens at rates of 50, 75 and 150 lbs per1000 square feet. Broilers were raised in the pens at 0.75 square feet perbird to generate the manure ammonia. The unamended chars actuallyincreased the release of ammonia an average of 14% over the control.The acidified char applied at the 50, 75 and 150 lb rates reduced overallammonia release by 11, 25, and 35%, respectively over the control. Thereduction in ammonia from the acidified char treatment is most likely dueto litter pH reduction from the acid application and not from chemisorptionby the carbon. Further investigation into the use of activated carbonproducts for ammonia control in poultry houses is warranted.Key Words: broiler, ammonia, char, active carbon, pyrolysis

Reference:PoultryScienceVol88(Suppl1),p.49.2009

Page 450: Agricultural Applications for Pine-Based BioChar

USDA ARS Research Project: Agricultural by-Products As Adsorbents for Environmental Remediation Location: Commodity Utilization Research

Title: Efficacy of Activated Carbon from Broiler Litter in the Removal of Litter Generated Ammonia

Submitted to: Meeting Proceedings Publication Type: Proceedings/Symposium Publication Acceptance Date: July 19, 2007 Publication Date: September 16, 2007 Citation: Fitzmorris, K.B., Miles, D.M., Lima, I.M. 2007. Efficacy of Activated Carbon from Broiler Litter in the Removal of Litter Generated Ammonia. In: Proceedings of the International Symposium on Air Quality and Waste Management for Agriculture. ASABE. 6 pages. Interpretive Summary: Over the past 10 years, the production of broilers has increased by 29 percent to approximately 9 billion in 2005. Ammonia (NH3) pollution from broiler excreta is a primary concern for industry viability which requires innovative treatment options. This research focused on the use of broiler litter as activated carbon (BAC) to reduce aerial NH3 generated by litter, an opportunity to not only reuse the manure, but also treat the emissions from or within broiler houses. The objective of this study was to evaluate the efficacy of BAC to remove NH3 volatilized from litter samples in a laboratory acid-trap system. The BAC is a much cheaper alternative than commercially produced activated carbons. Preliminary studies using NH3/air mixture indicated that the BAC NH3 uptake was approximately double that of Vapure 612, a commercial carbon. In the litter emission study, the BAC and Vapure performance was comparable. The NH3 emission reductions using the activated carbon columns were 25% for BAC and 36% for Vapure relative to the litter only control. The results of the study demonstrate the potential for a cyclical waste utilization strategy in using broiler litter activated carbon to capture NH3 volatilized from litter.

Page 451: Agricultural Applications for Pine-Based BioChar

Technical Abstract: Over the past 10 years, the production of broilers has increased by 29 percent to approximately 9 billion in 2005. Ammonia (NH3) pollution from broiler excreta is a primary concern for industry viability which requires innovative treatment options. This research focused on the use of broiler litter as activated carbon (BAC) to reduce aerial NH3 generated by litter, an opportunity to not only reuse the manure, but also treat the emissions from or within broiler houses. The use of activated carbon in the removal of NH3, specifically in broiler houses, has long been discarded primarily due to the high cost and low efficiency of the carbons. However, the study of BAC is a relatively new field that has focused on the removal of organics and/or metals from water. The objective of this study was to evaluate the efficacy of BAC to remove NH3 volatilized from litter samples in a laboratory acid-trap system. The BAC is a much cheaper alternative than commercially produced activated carbons. Preliminary studies using NH3/air mixture indicated that the BAC capacity to adsorb NH3 was approximately double that of Vapure 612, a commercial carbon. In the litter emission study, the BAC and Vapure performance was comparable. The NH3 emission reductions using the activated carbon columns were 25% for BAC and 36% for Vapure relative to the litter only control. The results of the study demonstrate the potential for a cyclical waste utilization strategy in using broiler litter activated carbon to capture NH3 volatilized from litter.

Page 452: Agricultural Applications for Pine-Based BioChar

Release of Inorganic Nitrogen and Phosphorus from Poultry Litter Amended with Acidified Biochar

S.A. Doydora1, M.L. Cabrera1, K.C. Das2, J.W. Gaskin2, L.S. Sonon3, W. Miller1, and C. Steiner2 1Department of Crop and Soil Sciences, University of Georgia, Athens, GA 30602

2Department of Biological and Agricultural Engineering, University of Georgia, Athens, GA 30602 3Soil, Plant and Water Laboratory, 2400 College Station Road, Athens, GA 30602

[email protected] Introduction

Georgia generates an estimated average of two million Mg poultry litter (PL) annually. While this material is used as a fertilizer, its nitrogen (N) value decreases as a result of ammonia (NH3) volatilization, which may lead to losses of up to 60% of the applied N (Cabrera et al., 1993; Cabrera and Chiang, 1994). One possible way of minimizing NH3 volatilization from PL is by mixing it with biochar (or char), a by-product from bio-fuel production. When acidified, biochar may reduce NH3 volatilization from PL. This study aimed to 1) evaluate the effect of acidified biochar on NH3 volatilization, 2) examine its effect on CO2 evolution and 3) determine its influence on the release of inorganic N and P from surface-applied or incorporated PL.

Materials and Methods Pine chip (PC) or peanut hull (PH) biochars (produced at 400 or 600°C) were acidified using 0.5 N HCl (1 g:10 mL). Poultry litter (2.1 g) with or without acidified PC or PH (400 or 600) chars (2.1 g) were surface-applied or incorporated into the soil (64.5 g) and was incubated for 21 d. Volatilized NH3 was trapped in 0.1 N H2SO4 and measured colorimetrically. Carbon dioxide evolved was measured using a CO2 analyzer. Release of inorganic N and P was determined by leaching the soil with 0.01 M of CaCl2 followed by a N- and P-free nutrient solution at 14 and 21 d of incubation. At the end of the incubation period, each of the treatments was extracted with 1 M KCl.

Fig. 1. Cumulative NH3-N lost during a 21-d incubation of poultry litter (PL, 2.1 g) with or without acidified chars (PC400, PC600, PH400, PH600, 2.1 g) a) surface-applied, or b) incorporated. (Error bars are standard deviations.)

Fig. 2. Cumulative CO2-C lost during a 7-d incubation (20°C) of soil (s, 64.5 g) and poultry litter (PL, 2.1 g) with or without acidified chars (PC400, PC600, PH400, PH600, 2.1 g) a) surface-applied, or b) incorporated. (Error bars are standard deviations.)

Inorganic P in the leachate and final KCl extraction was not different among treatments under both surface (F=0.68; p=0.6270) and incorporated (F=1.08; p=0.4227) incubations (Fig. 3 and 4). However, greater amounts of inorganic P were extracted from PL amended with PC400 than from PL amended with PC600 for surface (F=43.66; p=<0.0001) and incorporated (F=6.23; p=0.0341) incubations.

In the incorporated incubation (Fig 7b), char-amended PL had greater amounts of inorganic N (mainly nitrate) extracted than unamended PL (F=8.47; p=0.0173). Combining PL with PC600 and PH600 had larger amounts of extracted nitrate compared to PL with PC400 (F=17.35; p=0.0024) and PH400 (F=28.31; p=0.0005), respectively. However, in the surface incubation, this was only observed between PH chars (F=13.29; p=0.0054). Surface-applied char-amended PL did not increase the amounts of inorganic N, or nitrate, extracted at the end of the incubation (F=2.00; p=0.1908).

Results Surface-applied, unamended PL volatilized 17% of its total N while PL amended with acidified biochars lost only 6 to 11% (Fig.1a). PC400 performed better than PC600 (F=20.92; p=0.0132) for reducing NH3 loss but there was no difference between PH400 and PH600 (F=2.12; p=0.2293). When PL was incorporated into the soil, the same trends were observed (Fig.1b).

Inorganic N released from surface-applied PL with acidified chars was comparable to that of unamended litter (F=3.05; p=0.1146) (Fig. 5). PL+PC400 had more inorganic N leached than PL+PC600 (F=9.06; p=0.0142). PL amended with PH biochar had greater inorganic N leached compared to PL amended with PC biochar (F=6.74; p=0.0289). No differences among treatments were observed under incorporated incubation (F=2.56; p=0.1093) (Fig. 6).

Conclusions

References

Amending PL with acidified chars:   Reduced NH3 loss in PL by 63 to 36% with surface incubation and by 60 to 43% with incorporated incubation.   Decreased CO2 evolved from surface-applied PL by as much as 21% but increased that from incorporated PL by as much as 37%.   Did not affect the release of both leachable and extractable inorganic P from both surface-applied and incorporated PL.   Did not affect the release of leachable inorganic N from PL under both surface and incorporated incubations but led to greater amounts of inorganic N, primarily in the form of nitrate, extracted from incorporated PL.

Cabrera, M.L. and S.C. Chiang. 1994. Water content effect on denitrification and ammonia volatilization in poultry litter. Soil Sci. Soc. Am. J. 58:811-816.

Cabrera, M.L., S.C. Chiang, W.C. Merka, S.A. Thompson, and O.C. Pancorbo. 1993. Nitrogen transformations in surface-applied poultry litter: Effect of litter physical characteristics. Soil Sci. Soc. Am. J. 57:1519-1525.

Fig. 3. Inorganic P leached from soil (s, 64.5 g) and poultry litter (PL, 2.1 g) with or without acidified chars (PC400, PC600, PH400, PH600, 2.1 g) a) surface-applied, or b) incorporated. (Error bars are standard deviations.)

Fig. 4. Final inorganic P extracted from soil (s, 64.5 g) and poultry litter (PL, 2.1 g) with or without acidified chars (PC400, PC600, PH400, PH600, 2.1 g) a) surface-applied, or b) incorporated. (Error bars are standard deviations.)

Fig. 5. Inorganic N leached from soil (s, 64.5 g) and surface-applied poultry litter (PL, 2.1 g) with or without acidified chars (PC400, PC600, PH400, PH600, 2.1 g) during the a) first, or b) second leaching. (Error bars are standard deviations.)

Fig. 6. Inorganic N leached from soil (s, 64.5 g) and incorporated poultry litter (PL, 2.1 g) with or without acidified chars (PC400, PC600, PH400, PH600, 2.1 g) during the a) first, or b) second leaching. (Error bars are standard deviations.)

Fig. 7 Inorganic N extracted from soil (s, 64.5 g) and poultry litter (PL, 2.1 g) with or without acidified chars (PC400, PC600, PH400, PH600, 2.1 g) when a) surface-applied, or b) incorporated. (Error bars are standard deviations.)

Adding acidified chars to PL depressed CO2 evolved under surface incubation (F=9.24; p=0.0083) (Fig.2a). Conversely, when char-amended PL was incorporated into the soil, total CO2 was greater compared to unamended PL (F=6.88; p=0.0255) (Fig. 2b).

Nitrate leaching was the same for all treatments under surface and incorporated incubations (Fig. 5 and 6). Nitrate concentration in the leachate was generally smaller than ammonium concentration particularly in the first leaching. However, at the end of the studies, KCl-extracted concentrations were larger for nitrate than for ammonium (Fig. 7).

Page 453: Agricultural Applications for Pine-Based BioChar

Effects of feeding fowls with rice hull charcoal on the egg-laying performance and the odor of chicken droppings. Abstract; An investigation was conducted on the effects of feeding laying hens with charcoal made from rice hull upon laying performance and the odor of chicken droppings. When laying hens were fed with feed containing rice hull charcoal at 1%, ammonia gas concentration in accumulated chicken droppings and ammonia gas concentration in chicken house were significantly lower than those of a control with no addition of rice hull charcoal by 52% and 39%, respectively; and the rate of hen-day egg production, daily egg production, and the fructure strength of egg shell tended to be improved by 5%, 4%, and 8%, respectively, compared with those of the control. On the other hand, the amount of feed intake, body weight, Haugh Unit, egg shell weight, and the amount of chicken droppings were not different from those of the control, remaining within .+-.3% from those of the control. The above result indicated that the addition of rice hull charcoal to feed at 1% was effective for the suppression of odor in accumulated chicken droppings and within chicken house and for the improvement of the rate of hen-day egg production and fructure strength of egg shell. Accession number;03A0266617 Title;Effects of feeding fowls with rice hull charcoal on the egg-laying performance and the odor of chicken droppings. Author;SAITO KATSUMI(Aomori Prefect. Livest. Exp. Stn., JPN) KUZUMAKI TAKEFUMI(Kitasato Univ.) HOSOKAWA YOSHIHARU(Kitasato Univ.) Journal Title;Tohoku Agricultural Research Journal Code:F0596B ISSN:0388-6727 VOL.;NO.55;PAGE.141-142(2002) Figure&Table&Reference;TBL.2, REF.3 Pub. Country;Japan Language;Japanese

Page 454: Agricultural Applications for Pine-Based BioChar

Reasons for Pyrolysis of Poultry Litter

• Traditionally, poultry litter is disposed by land application and used as cattle feed

• Disposal of poultry litter in the U.S. poultry industry is becoming a major problem because of :– Excess nutrient in the soil due to land application– Contamination of drinking water– Eutrophication of surface waters– Ammonia emission from poultry houses– Soil acidification through nitrification and leaching– Biosecurity concerns

Page 455: Agricultural Applications for Pine-Based BioChar

Pyrolysis conditions

• Feedstock---air-dried poultry litter• Temperature---450 to 500 oC• Residence time--- 2 to 5 s• Fluidizing medium--- nitrogen or producer

gas• Feed rate --- 200 g/h

Page 456: Agricultural Applications for Pine-Based BioChar

Bench-Scale pyrolysis reactor system

Page 457: Agricultural Applications for Pine-Based BioChar

Bio-oil derived from Broiler litter

Page 458: Agricultural Applications for Pine-Based BioChar

Poultry litter biooil

Page 459: Agricultural Applications for Pine-Based BioChar

Pyrolysis Char of Broiler Litter

Page 460: Agricultural Applications for Pine-Based BioChar

Bio-oil propertiesSample C

(%)H (%)

O (%)

N (%)

S (%) Moit (%)

pH Ash (%)

HHV (MJ/kg

Chicken bedding

55.25 6.54 37.58 <0.5 <0.05 5.3 2.7 <0.08 22.64

Flock-1 litter

63.24 7.22 23.89 5.05 0.46 4.6 6.1 <0.09 28.25

Flock-2 litter

64.06 8.14 22.27 4.94 0.41 4.6 6.3 <0.09 28.0

Broiler litter

62.84 8.31 20.72 7.23 <0.9 4.0 6.3 0.17 29.57

Starter turkey litter

64.90 8.44 20.31 5.60 0.4 3.7 4.2 0.10 29.76

Page 461: Agricultural Applications for Pine-Based BioChar

0

500

1000

1500

2000

2500

0 10 20 30 40 50 60

Visc

osity

(cP)

Time (days)

Neat Biooil

MeOH + Biooil

EtOH + Biooil

Ace + Biooil

Page 462: Agricultural Applications for Pine-Based BioChar

Potential Applications of bio-oil

Page 463: Agricultural Applications for Pine-Based BioChar

MeOH

BioBio--oiloil

Cofiring/Reburn

CombinedCycle

Cat: Ni/Mg

Cat: Mixed BasesNa, Ca

CaCN

Cat: Cu-ZnO Cat: Zeolite

HYDROGEN

ETHANOL,MIXED ALCOHOLS

METHANOL, DME

OLEFINS

FTL

LPG

NAPHTHA

KEROSINE/DIESEL

LUBES

WAXES

GASOLINE

OXOCHEMICALSe.g., KETONES

AMMONIA

SNG

CHP

CHP

SYNGAS

FEED PREP

GASIFICATION

CLEANUP

Cat = Catalytic Conversion Process

Cat: Ni, Fe, Cu-Zn

Cat: Ni

Cat: Cu-Zn,Cu-Co

Cat: Cu-ZnO

Cat: H3PO4, Cr2O3

Cat: Fe

Cat: Co/K

UPGRADING

SYNTHESIS GAS OPTIONSSYNTHESIS GAS OPTIONS

Page 464: Agricultural Applications for Pine-Based BioChar

Bio-Oil From Pyrolysis

Oriented Strand Boards and Plywood made from Bio-Oil – Phenolic Resins

are being tested at mill scale

Biomass Pyrolysis (liquefaction)Bio-oil Uses

• Fuel oil substitute• Chemicals• Hydrogen• Turbines (Power)

75 Green ton/day (40 Dry) Commercial RTP™

Facility at Rhinelander, WI operating since 1995

Ensyn Technologies

Page 465: Agricultural Applications for Pine-Based BioChar

Poultry LitterFluidized Bed

Pyrolysis Reactor

Hot FiltrationCyclone

FilterSystem

Pyrolysis OilCondensation

System

ESP andCoalescing

System

LBGCompression

LBGReheatBurner

PoultryLitter

FeedingSystem

CompressedAir

StartupLPG

RawOil Product

AshandChar

Dolomite

Excess LBGto FeedDryer

Cooling

Tower

Exhaust to Atmosphere

Flow chart of transportable pyrolysis unit

Page 466: Agricultural Applications for Pine-Based BioChar

ICS-UNIDO Biofuels Workshop, Accra, Ghana, Dec 11-13, 2007

Thermochemical conversion of biomass to biofuels

Foster A. Agblevor, Biological Systems EngineeringVirginia Tech, Blacksburg, VA.

Email: [email protected]

Page 467: Agricultural Applications for Pine-Based BioChar

Outline of presentation

• Overview of pyrolysis phenomena• Slow pyrolysis• Fast pyrolysis of biomass• Fast pyrolysis reactors• Biomass pyrolysis products• Applications of biomass pyrolysis products

Page 468: Agricultural Applications for Pine-Based BioChar

Outline of presentation

• Environmental application of pyrolysis• Fractional catalytic pyrolysis• Where do we go from here?

Page 469: Agricultural Applications for Pine-Based BioChar

What is pyrolysis?

• Pyrolysis is the thermal conversion of organic materials in the absence of oxidizing agents such as oxygen.

• Pyrolysis always occurs before any combustion process

• Pyrolysis leads to thermochemical decomposition of organic materials into a complex mixture of compounds

Page 470: Agricultural Applications for Pine-Based BioChar

Schematic depiction of Biomass pyrolysis

Page 471: Agricultural Applications for Pine-Based BioChar

What is pyrolysis?

• Pyrolysis products are usually not well defined especially when applied to complex natural materials such as biomass.

• The pyrolysis phenomena can be divided into several regimes depending on the heating rate

• Slow pyrolysis, fast pyrolysis, ultrafast pyrolysis, vacuum pyrolysis and high pressure pyrolysis

Page 472: Agricultural Applications for Pine-Based BioChar

Fast pyrolysis biomass reactor designs

• Bubbling fluid bed• Circulating fluid bed• Entrained flow• Vortex• Rotating cone• Vacuum

Page 473: Agricultural Applications for Pine-Based BioChar

Thinning ResiduesThinning ResiduesWood chipsWood chipsUrban Wood wasteUrban Wood waste

palletspalletscrate discardscrate discardswood yard trimmingswood yard trimmings

Corn stoverCorn stoverRice hullsRice hullsSugarcane bagasseSugarcane bagasseAnimal residuesAnimal residues

Hybrid poplarHybrid poplarSwitchgrassSwitchgrassWillowWillow

Forest Wood Residues Agricultural Residues Energy Crops

Biomass FeedstocksBiomass Feedstocks

Page 474: Agricultural Applications for Pine-Based BioChar

Hybrid poplar nursery

Page 475: Agricultural Applications for Pine-Based BioChar

O

OO

OH

OH

OH

HOHO

OHO

O

OO

OH

OH

OH

HOHO

OHO

O

OO

OH

OH

OH

HOHO

OHO

O

OO

OH

OH

OH

HOHO

OHO

O

OO

OH

OH

OH

HOHO

OHO

O

OO

OH

OH

OH

HOHO

OHO

O

OO

OH

OH

OH

HOHO

OHO

O

OO

OH

OH

OH

HOHO

OHO

OHO

HO

H3CO

OH

OCH3

OCH3

O

O

O

OH

OCH3

OCH3

H3CO

OO

HO

H3CO

HO

OCH3

OCH3

OHO

HO

H3CO

OH

OCH3

OCH3O

O

OH

OCH3

OCH3

OCH3

OO

O

OH

HO

O

OO

O

OH

HO

OH

OH

OO

O

OH

HO

OH

OH

OO

O

OH

HO

OH

OH

O

OO

OH

OH

OH

HOHO

OHO

O

OO

OH

OH

OH

HOHO

OHO

O

OO

OH

OH

OH

HOHO

OHO

O

OO

OH

OH

OH

HOHO

OHO

O

OO

OH

OH

OH

HOHO

OHO

O

OO

OH

OH

OH

HOHO

OHO

O

OO

OH

OH

OH

HOHO

OHO

O

OO

OH

OH

OH

HOHO

OHO

Lignin: 15-25%Complex aromatic structureVery high energy content

Cellulose: 38-50%Polymer of glucose, very good

biochemical feedstock

BiomassConstituents

Hemicellulose: 23-32%

Polymer of 5 & 6 carbon sugar Solid

Gas or Liquid

Page 476: Agricultural Applications for Pine-Based BioChar

Minor biomass constituents

• Extractives----2-10 wt%• Ash----1-20 wt%

– N, P, K, Si, Ca, Cd, Hg, As• These minor constituents strongly

influence the pyrolysis reactions • quality of the pyrolysis oil

Page 477: Agricultural Applications for Pine-Based BioChar

Environmental and fuel applications

Page 478: Agricultural Applications for Pine-Based BioChar

Poultry Powered!!!

Page 479: Agricultural Applications for Pine-Based BioChar
Page 480: Agricultural Applications for Pine-Based BioChar

Broiler chicken litter

Page 481: Agricultural Applications for Pine-Based BioChar

Reasons for Pyrolysis of Poultry Litter

• Traditionally, poultry litter is disposed by land application and used as cattle feed

• Disposal of poultry litter in the U.S. poultry industry is becoming a major problem because of :– Excess nutrient in the soil due to land application– Contamination of drinking water– Eutrophication of surface waters– Ammonia emission from poultry houses– Soil acidification through nitrification and leaching– Biosecurity concerns

Page 482: Agricultural Applications for Pine-Based BioChar

Pyrolysis conditions

• Feedstock---air-dried poultry litter• Temperature---450 to 500 oC• Residence time--- 2 to 5 s• Fluidizing medium--- nitrogen or producer

gas• Feed rate --- 200 g/h

Page 483: Agricultural Applications for Pine-Based BioChar

Bench-Scale pyrolysis reactor system

Page 484: Agricultural Applications for Pine-Based BioChar

Bio-oil derived from Broiler litter

Page 485: Agricultural Applications for Pine-Based BioChar

Poultry litter biooil

Page 486: Agricultural Applications for Pine-Based BioChar

Pyrolysis Char of Broiler Litter

Page 487: Agricultural Applications for Pine-Based BioChar

Bio-oil propertiesSample C

(%)H (%)

O (%)

N (%)

S (%) Moit (%)

pH Ash (%)

HHV (MJ/kg

Chicken bedding

55.25 6.54 37.58 <0.5 <0.05 5.3 2.7 <0.08 22.64

Flock-1 litter

63.24 7.22 23.89 5.05 0.46 4.6 6.1 <0.09 28.25

Flock-2 litter

64.06 8.14 22.27 4.94 0.41 4.6 6.3 <0.09 28.0

Broiler litter

62.84 8.31 20.72 7.23 <0.9 4.0 6.3 0.17 29.57

Starter turkey litter

64.90 8.44 20.31 5.60 0.4 3.7 4.2 0.10 29.76

Page 488: Agricultural Applications for Pine-Based BioChar

0

500

1000

1500

2000

2500

0 10 20 30 40 50 60

Visc

osity

(cP)

Time (days)

Neat Biooil

MeOH + Biooil

EtOH + Biooil

Ace + Biooil

Page 489: Agricultural Applications for Pine-Based BioChar

Potential Applications of bio-oil

Page 490: Agricultural Applications for Pine-Based BioChar

MeOH

BioBio--oiloil

Cofiring/Reburn

CombinedCycle

Cat: Ni/Mg

Cat: Mixed BasesNa, Ca

CaCN

Cat: Cu-ZnO Cat: Zeolite

HYDROGEN

ETHANOL,MIXED ALCOHOLS

METHANOL, DME

OLEFINS

FTL

LPG

NAPHTHA

KEROSINE/DIESEL

LUBES

WAXES

GASOLINE

OXOCHEMICALSe.g., KETONES

AMMONIA

SNG

CHP

CHP

SYNGAS

FEED PREP

GASIFICATION

CLEANUP

Cat = Catalytic Conversion Process

Cat: Ni, Fe, Cu-Zn

Cat: Ni

Cat: Cu-Zn,Cu-Co

Cat: Cu-ZnO

Cat: H3PO4, Cr2O3

Cat: Fe

Cat: Co/K

UPGRADING

SYNTHESIS GAS OPTIONSSYNTHESIS GAS OPTIONS

Page 491: Agricultural Applications for Pine-Based BioChar

Bio-Oil From Pyrolysis

Oriented Strand Boards and Plywood made from Bio-Oil – Phenolic Resins

are being tested at mill scale

Biomass Pyrolysis (liquefaction)Bio-oil Uses

• Fuel oil substitute• Chemicals• Hydrogen• Turbines (Power)

75 Green ton/day (40 Dry) Commercial RTP™

Facility at Rhinelander, WI operating since 1995

Ensyn Technologies

Page 492: Agricultural Applications for Pine-Based BioChar

Poultry LitterFluidized Bed

Pyrolysis Reactor

Hot FiltrationCyclone

FilterSystem

Pyrolysis OilCondensation

System

ESP andCoalescing

System

LBGCompression

LBGReheatBurner

PoultryLitter

FeedingSystem

CompressedAir

StartupLPG

RawOil Product

AshandChar

Dolomite

Excess LBGto FeedDryer

Cooling

Tower

Exhaust to Atmosphere

Flow chart of transportable pyrolysis unit

Page 493: Agricultural Applications for Pine-Based BioChar

Transportable Pyrolysis Unit

Page 494: Agricultural Applications for Pine-Based BioChar

Rockingham County Cooperator

• A pilot pyrolysis unit will be demonstrated on the property of our cooperator, Mr. Oren Heatwole.

• The unit will be transportable from farm to farm, but most of the initial research will be done on-site.

• Poultry litter from a neighboring farm will be used as the feedstock for the pilot project.

Page 495: Agricultural Applications for Pine-Based BioChar

Modified Furnace for Using Bio-Oil

Page 496: Agricultural Applications for Pine-Based BioChar

ADI Stirling Engine System

Fuel Flexible• Natural gas• Propane• Ethyl alcohol• Biomass • Hydrogen• Waste heat • Solar Heat

Output shaft power to Generator

Highest Efficiency of all heat engines with patented “Dual Shell Pressure Balancing Technology”

Runs on Heat

Replace diesel generators for distributed power market

Quiet

Page 497: Agricultural Applications for Pine-Based BioChar

Fractional catalytic pyrolysis

• A catalyst is used for the fluidizing bed• Catalyst fractionates biomass insitu• Carbohydrates gasified to CO, H2, CH4,

CO2

• Lignin depolymerized and demethoxylated to monomeric phenols

Page 498: Agricultural Applications for Pine-Based BioChar

Schematic Diagram of Fluidized Bed Reactor

1. Fluidized Bed Reactor

2. Furnace

3. Thermocouple

4. Mass Flow Controller

5. Heat Exchanger

6. Hopper

7. Sample Feeder

8. Computer

9. Heating Tape

10. Cyclone

11. Reservoir

12. Condenser

13. Electrostatic Precipitator

14. AC Power Supply

15. Filter

16. Wet Gas Meter

17. Gas Chromatograph

Page 499: Agricultural Applications for Pine-Based BioChar

Conventional wood pyrolysis oil C-13 NMR

Page 500: Agricultural Applications for Pine-Based BioChar

Fractional catalytic pyrolysis oil

Page 501: Agricultural Applications for Pine-Based BioChar

Lignin moieties in biomass

Page 502: Agricultural Applications for Pine-Based BioChar

Molecular weight distribution of conventional and FCP oils

Fractionated sugar cane Bagasse pyrolysis oil

FCP oil

Page 503: Agricultural Applications for Pine-Based BioChar

Acknowledgement• We greatly appreciate the contribution of Virginia

Poultry Federation, Chesapeake Bay Foundation and Shenandoah RC & Council for their foresight in funding this project.

• National Fish and Wildlife Federation for Scale-up funding support

• Mr Robert Clark for initiating the project, collecting samples and getting the growers in the Valley involved in the project.

• Waste Solutions Forum for promoting the project

Page 504: Agricultural Applications for Pine-Based BioChar

Acknowledgement

• Dr Sedat Beis• Dr Seug-Soo Kim• Dr Serpil Besler-Guran• Ryan Tarrant• Ofei Mante• Frederick Teye

Page 505: Agricultural Applications for Pine-Based BioChar

Thank you

• Questions?

Page 506: Agricultural Applications for Pine-Based BioChar

Fluidized Bed Reactor

Page 507: Agricultural Applications for Pine-Based BioChar

Viscosity of bioiol: Flock 1 litter, 450 ℃, 500 ℃,

550 ℃

Shear rate [ min-1 ]

0 20 40 60 80 100 120

Visc

osity

[ Pa

. sec

]

0

5

10

15

20

25

30

35

50 oC60 oC

Shear rate [ min-1 ]

0 100 200 300 400 500

Visc

osity

[ Pa

. sec

]

0

2

4

6

8

10

12

14

16

50 oC60 oC

Shear rate [ min-1 ]

0 100 200 300 400 500

Vis

cosi

ty [

Pa.

sec

]

0

2

4

6

8

10

12

14

16

50 oC60 oC

450 500550

Page 508: Agricultural Applications for Pine-Based BioChar

Viscosity of biooil ; Turkey Litter, 450 ℃, 500 ℃, 550 ℃

Shear rate [ min-1 ]

0 100 200 300 400 500

Visc

osity

[ Pa

. sec

]

0

2

4

6

8

10

12

14

50 oC60 oC

Shear rate [ min-1 ]

0 20 40 60 80 100 120

Vis

cosi

ty [

Pa. s

ec ]

0

10

20

30

40

50

60

70

50 oC60 oC

Shear rate [ min-1 ]

0 100 200 300 400 500

Visc

osity

[ Pa

. s]

0

2

4

6

8

10

12

1450 oC60 oC

Page 509: Agricultural Applications for Pine-Based BioChar

Comparison of HHV of biooil and litter samples

Sample Raw sample HHV (Btu/lb)

Biooil HHV (Btu/lb)

Chicken Bedding

7,792 8,408

Flock 1 6,514 11,829

Flock 2 7005 12,689

Broiler 6,781 12,040

Turkey 8,064 11,291

Page 510: Agricultural Applications for Pine-Based BioChar

Demonstration Unit

• We propose to use the funding from the National Fish and Wildlife Federation to build a transportable pyrolysis unit to convert poultry litter into bio-oil and slow-release fertilizer in the Shenandoah Valley.

• Work has began on the project.• A demonstration unit will be built on the farm of

Mr Oren Heatwole, Poultry Specialties Inc, Dayton, VA.

Page 511: Agricultural Applications for Pine-Based BioChar

Pyrolysis Project Overview

• The project seeks to demonstrate a nutrient reduction and renewable energy technology called pyrolysis to convert poultry litter to a bio-oil, slow-release fertilizer, and producer gas.

• This approach was identified as a priority during the 2005 Waste Solutions Forum –to create usable energy from animal manure and poultry litter while also reducing nutrients.

Page 512: Agricultural Applications for Pine-Based BioChar

Site and Preparations for Pyrolysis

Page 513: Agricultural Applications for Pine-Based BioChar

Water and Heat Lines

Page 514: Agricultural Applications for Pine-Based BioChar

Slow pyrolysis

• The slow pyrolysis process is very old and has been used since ancient times to produce charcoal.

• In modern era, the slow pyrolysis process has been modified and used to produce charcoal.

• The modifications are focused on the improvement in the yield of charcoal.

Page 515: Agricultural Applications for Pine-Based BioChar

Activated carbon amendments to soil alters nitrification rates

in Scots pine forests

L.M. Berglunda,*, T.H. DeLucaa,b, O. Zackrissona

aDepartment of Forest Vegetation Ecology, Swedish University of Agricultural Sciences, 901 83 Umea, SwedenbDepartment of Ecosystem and Conservation Sciences, The University of Montana, Missoula, MT 59812, USA

Received 20 February 2004; received in revised form 25 June 2004; accepted 28 June 2004

Abstract

The influence of charcoal on biotic processes in soils remains poorly understood. Charcoal is a natural product of wildfires that burned on a

historic return interval of w100 years in Scots pine (Pinus sylvestris L.) forests of northern Sweden. Fire suppression and changes in forest

stand management have resulted in a lack of charcoal production in these ecosystems. It is thought that charcoal may alter N mineralization

and nitrification rates, however, previous studies have not been conclusive. Replicated field studies were conducted at three late-succession

field sites in northern Sweden and supporting laboratory incubations were conducted using soil humus collected from these sites. We used

activated carbon (AC), as a surrogate for natural-occurring fire-produced charcoal. Two rates of AC (0 and 2000 kg haK1), and glycine (0 and

100 kg N as glycine haK1) were applied in factorial combination to field microplots in a randomized complete block pattern. Net nitrification,

N mineralization, and free phenol concentrations were measured using ionic and non-ionic resin capsules, respectively. These same

treatments and also two rates of birch leaf litter (0 and 1000 kg haK1) were applied in a laboratory incubation and soils from this incubation

were extracted with KCl and analyzed for NH4C and NO3

K. Nitrification rates increased with AC amendments in laboratory incubations, but

this was not supported by field studies. Ammonification rates, as measured by NH4C accumulation on ionic resins, were increased

considerably by glycine applications, but some NH4C was apparently lost to surface sorption to the AC. Phenolic accumulation on non-ionic

resin capsules was significantly reduced by AC amendments. We conclude that charcoal exhibits important characteristics that affect

regulating steps in the transformation and cycling of N.

q 2004 Elsevier Ltd. All rights reserved.

Keywords: Activated carbon; Charcoal; Boreal forest; Birch litter; Fire; Nitrogen transformations; Nitrification; Phenolic compounds

1. Introduction

There is limited understanding of the role of charcoal in

N mineralization and nitrification rates in boreal forest

ecosystems. Charcoal is a product of forest fires that

historically burned on a w100 years fire return interval in

northern Fennoscandia (Zackrisson, 1977) and amounts up

to 2000 kg haK1 of charcoal can be present in the soil of

such ecosystems (Zackrisson et al., 1996). Forest fires are a

major form of disturbance that has an immediate and long-

term effect on ecosystem processes. This effect vary

depending on fire severity, but involve alterations to nutrient

0038-0717/$ - see front matter q 2004 Elsevier Ltd. All rights reserved.

doi:10.1016/j.soilbio.2004.06.005

* Corresponding author. Tel.: C46-90-786-86-01; fax: C46-90-786-

81-66.

E-mail address: [email protected] (L.M. Berglund).

cycling and changes in species composition, plant growth

and soil biota (Hart et al., 2004). The presence of fire in

these forests has been reduced considerably due to active

fire suppression and passive fire exclusion as a result of road

building and changes in forest stand management. A

prolonged absence of fire results in a change in understory

species composition shifting to a predominance of dwarf

ericaceous shrubs including Empetrum hermaphroditum

Hagerup, a ground cover of feathermosses such as

Pleurozium schreberi (Bird.) Mitt. and an increase in the

presence of Norway spruce (Picea abies Karst. (L.)) in the

overstory (Steijlen and Zackrisson, 1987; Linder et al.,

1997; DeLuca et al., 2002).

It is clear that fire temporarily increases N mineralization

and nitrification rates (Neary et al., 1999; DeLuca and

Zouhar, 2000; Choromanska and Deluca, 2001). The high

Soil Biology & Biochemistry 36 (2004) 2067–2073

www.elsevier.com/locate/soilbio

Page 516: Agricultural Applications for Pine-Based BioChar

L.M. Berglund et al. / Soil Biology & Biochemistry 36 (2004) 2067–20732068

concentrations of available ammonium (NH4C) present after

fire are produced chemically by soil heating during fire

and also by increased microbial activity following fire

(Choromanska and DeLuca, 2002). A pulse of available

nitrate (NO3K) occurs within a year after fire and since NO3

K

is not produced directly by heating this is commonly

attributed to increased nitrification in excess of ammonium

(Wan et al., 2001). The long-term effect of fire on N

mineralization rates is not clear. Although fire appears to

reduce stocks of mineralizable N (Monleon et al., 1997;

Kaye and Hart, 1998; DeLuca and Zouhar, 2000) through

volatilization and fuel combustion, other changes in

N transformation are normally attributed to changes in

the composition of plant communities and soil biota (Hart

et al., 2004).

Many of the dwarf shrubs commonly found in late

successional Swedish boreal forests are known to produce

large quantities of phenolic compounds (Gallet and

Lebreton, 1995; Nilsson et al., 1998) that may directly

influence nutrient turnover and microbial activity (Wardle

et al., 1997). Polyphenolic compounds can affect N cycling

by stimulating microbial soil processes. Microorganisms

use polyphenols as a C source and with increased need of N

this promotes N immobilization. Formation of protein–

tannin complexes by polyphenolic compounds may also

impede mineralization and help to build up thick mor layers

of recalcitrant organic material (Northup et al., 1995).

The influence of charcoal on maintaining N availability

has been addressed by Wardle et al. (1998) and DeLuca

et al. (2002). Fire-produced charcoal has a porous structure

and sorptive surfaces which are shown to have the capacity

to adsorb significant amounts of polyphenolic compounds

(Zackrisson et al., 1996) and this effect is similar to

commercially-produced activated carbon (AC). Such

adsorption may result in deactivating the phenols through

chemical condensation of the phenols (Piccolo et al., 1999)

preventing toxic allelopatic effects and an increase in

microbial activity due to accumulation of dissolved C as a

food source and thereby increase mineralization. Charcoal

has been shown to harbour and support specific or unique

microbial communities (Pietikainen et al., 2000), although

little is known on the functional differences of these special

communities. The porous structure of charcoal has also been

suggested to shelter microbial organisms from soil faunal

predators (Wardle et al., 1998).

Studies in our laboratory suggested that nitrification rates

are directly influenced by the addition of AC, used as a

surrogate for soil charcoal (DeLuca et al., 2002). In these

Table 1

General soil and site characteristics for each site

Site Location pH (GSE) Humus C

Reivo 65846 0 N, 19806 0 E 4.06 (0.03) 45.85

Vaksliden 65842 0 N, 18845 0 E 4.14 (0.02) 44.98

Stromforsheden 65808 0 N, 18853 0 E 4.06 (0.06) 48.31

short-term studies, we only observed a nitrification response

to AC at a relatively high and potentially unrealistic

application rate and the work was performed at only one

field site. Thus it is not clear if nitrification rates would be

significantly altered by AC additions to forest soils at lower,

naturally-occurring quantities. Furthermore, it was not clear

whether the presence of birch (Betula pubescence Ehrh)

litter (as is common in early succession) would also

influence nitrification rates as has been found in studies

involving aspen litter (Ste-Marie and Pare, 1999).

We hypothesized that charcoal would enhance rates of

nitrification in boreal forest soils. We used AC, as a

surrogate for natural-occurring fire-produced charcoal with

the intention of investigating the effect of AC on net N

mineralization and nitrification rates in Scots pine forests.

We also attempted to determine whether these effects were

related to AC adsorption of free phenolic compounds from

the soil.

2. Materials and methods

2.1. Site descriptions

Studies were conducted on a total of three forest stands in

northern Sweden. All sites are situated in forests reserves

within the northern boreal zone and consist of late-

successional Pinus sylvestris L. dominated forest of

ericaceous-cladina type on sandy glacial soils (Ahti et al.,

1968), classified as either Typic or Entic Haplocryods.

Pleurozium schreberi (Bird.) Mitt. and Cladina spp are the

dominant bottom-layer moss and lichen taxa and the field-

layer mainly consists of the ericaceous shrubs Empetrum

hermaphroditum Hagerup and Vaccinium vitis-idaea L.

Composite samples of the forest duff layer (Oe/Oa horizons)

were collected at each site and analyzed for pH, total C and

total N. General soil and site characteristics are presented in

Table 1.

2.2. Laboratory study

A laboratory incubation experiment was conducted to

assess the influence of charcoal and litter on net N

mineralization rates and nitrification rates in boreal soils

under controlled conditions. Samples from humus layer

were collected from the three P. sylvestris dominated sites.

The humus was sieved (!5 mm) to remove coarse roots,

mixed thoroughly and then air dried (20 8C) for 3 days.

(%) Humus N (%) Soil C (%) Soil N (%)

1.05 3.3 0.09

1.00 1.2 0.04

1.20 2.3 0.10

Page 517: Agricultural Applications for Pine-Based BioChar

L.M. Berglund et al. / Soil Biology & Biochemistry 36 (2004) 2067–2073 2069

Then 10 g of humus (dry weight) was placed in 300 ml

(9 cm diameter) polyethylene jars. The humus was then

amended with one of the following treatments: 1) 0 or

100 kg N haK1 as glycine (Sigma Scientific) as an organic

N source; 2) 0 or 2000 kg AC haK1; 3) 0, or 1200 kg birch

litter haK1. This combination of treatments resulted in a

2!2!2 factorial experiment of 6 replicates for each of the

three sites, in total 144 jars. Treatments were applied by

mixing each component thoroughly with humus and then

placing the combined material into the polyethylene jar. The

AC was applied as 1.28 g of activated C (representing

2000 kg haK1) added to each pot and the glycine was

applied to the humus as a solution of 340 mg glycine

(535 kg glycine haK1 representing 100 kg N haK1) mixed

with distilled water. Dried birch leaf litter (Betula

pubescence Ehrh) was fragmented (4–5 mm) and 800 mg

was mixed into the humus. All the samples were adjusted to

a moisture content of 60% of maximum water holding

capacity (MWHC) and this was checked, and amended once

a week during the experiment. The jars were covered with

plastic lids with air-holes and incubated for 8 weeks at 13 8C

and 70% relative humidity. At the end of the experiment soil

samples were dried in 70 8C for 3 days and stored until

analysis.

2.3. Field study

Field experiments were carried out at the three late-

succession pine-dominated forests at forest reserves in

northern Sweden. Treatments consisted of two rates (0 or

100 kg N haK1) of glycine (Sigma Scientific) as an organic

N source and two rates (0 or 2000 kg AC haK1) of AC

resulting in a 2 by 2 factorial experiment. With ten

replicates of four treatments at three sites, this represent in

total 120 plots. Treatments were applied to 20 cm!20 cm

microplots from 0 to 10 cm depth within the forest floor as a

solution (glycine) or suspension (AC) by using a 50 ml

syringe with a 80 mm long, 2.10 mm wide steel needle. This

approach allowed for rapid incorporation of the AC

throughout the microplot with minimal disturbance to the

forest floor. The AC treatment was applied as 200 ml of the

40 g AC lK1 suspension. The glycine treatment was applied

as 100 ml of glycine solution (21.4 g glycine lK1). Distilled

water was added at the same rate as in the glycine and AC

treatment.

Net N mineralization and nitrification were monitored

in situ at these sites by using ionic resin capsules and free

polyphenols were monitored in situ by using non-ionic

carbonaceous resin capsules (DeLuca et al., 2002). This

approach allows NO3K, NH4

C and polyphenols to be

assessed over a specific period rather than taking a single

point-in-time sample or using disruptive net N mineraliza-

tion techniques. One polyester capsules containing 10 ml

(approximately 1 g dwt) of mixed bed ionic resins (PST-2,

Unibest, Bozeman, MT) were placed at the bottom of the Oa

horizon or near the interface with the mineral soil in each

microplot. Free phenols were monitored by placing one

polyester capsule (Unibest, Bozeman, MT) filled with

approximately 1 g dwt (about 1100 m2 of surface area) of

XAD-7 resin (Rohm and Hass Inc., Philadelphia, PA), near

the ionic resin capsule at the interface of the O horizon and

mineral soil in each microplot. In total, 120 ionic and 120

non-ionic resin capsules were used. In order to locate the

buried capsules, a thin nylon-line had been attached to each

resin capsule and the line was then attached to a marker

above ground when the capsule was buried. The resin

capsules were allowed to remain in the field for 2.5 months

from 11–18 June to 23 September, 2002. All capsules were

then removed from each plot, and stored at K20 8C until

analysis.

2.4. Chemical analyses

Forest O horizon samples were analyzed for total C and

N by dry combustion using an elemental analyzer

(PerkinElmer 2400 CHN, Norwalk, Connecticut, USA).

Soil pH was determined in distilled water using a 2:1

solution to soil ratio.

Soil mineral N in 2.5 g of the incubated soil samples was

extracted with 25 ml 2 M KCl on a shaker for 1 h, followed by

filtration through Whatman No 42 filters. The extractable

NH4C and NO3

K were then analyzed by using a segmented flow

injection analyzer (Autoanalyzer III, Bran Luebbe, Chicago,

IL) and reported as mg NH4C–N or NO3

K–N g soilK1.

Ionic resin capsules were extracted for NH4C and NO3

K

analysis by placing each capsule into 10 ml of 1 M HCl and

shaking for 30 min. The extracting solution was then

decanted into a clean storage bottle and this process was

repeated for a second and third time to create a total

extraction volume solution of 30 ml. The extractant was

then analyzed for NH4C and NO3

K as described above and

reported as mg NH4C–N or NO3

K–N capsuleK1. Non-ionic

resin capsules were analyzed for polyphenols following a

sequential extraction with water followed by 50% aqueous

methanol (Morse et al., 2000). Each capsule was placed in a

polypropylene centrifuge tube with 30 ml of distilled water,

shaken for 30 min, and the aqueous fraction was decanted

into a glass vial and stored at K20 8C until analysis. The

resin capsule was then immersed in 10 ml of 50% aqueous

methanol and shaken for 30 min. Extracts were decanted

into clean glass vials and this process was repeated for a

second and third time to create a total extraction volume of

30 ml. The methanol extracts were stored at K20 8C until

analysis for polyphenolic compounds. Polyphenol analysis

was performed by using the Prussian blue technique (Stern

et al., 1996) measured against catechin standards at 720 nm.

2.5. Statistical analysis

The N and polyphenol data were analyzed using

ANOVA. All data were analyzed for normality and

homogeneity of variance. Data found to violate assumptions

Page 518: Agricultural Applications for Pine-Based BioChar

Fig. 1. Average soil NO3K–N concentration (mg gK1 soil) for all three boreal

forest sites in northern Sweden after 8 weeks of incubation. 0Zcontrol,

CCZAC addition, CGZglycine addition, CLZbirch litter addition.

Values followed by an asterisk are significantly different at P!0.05.

Table 2

Average pH in laboratory incubation from all three boreal forest sites,

incubated for 8 weeks

Treatment pH

0 3.62

CC 3.88

CL 3.85

CG 5.59*

CCCL 4.06

CLCG 5.62*

CCCG 5.75*

CCCGCL 5.73*

0Zcontrol; CCZAC addition; CGZglycine addition. Values followed

by an asterisk are significantly different at P!0.05.

L.M. Berglund et al. / Soil Biology & Biochemistry 36 (2004) 2067–20732070

of ANOVA were analyzed using the non-parametric

Kruskal–Wallis test. Correlations were analyzed using

Pearson’s correlation test. All data analyses were

performed using SPSS Version 10.0 for Windows (SPSS

Inc. Chicago, IL).

3. Results

3.1. Laboratory incubation

Amendment of soils with AC in the presence of glycine

increased net nitrification compared to the control and in the

treatment, where glycine was added alone (Fig. 1). The

amount of NO3K in the presence of AC and glycine was

almost double (5–6 mg NO3K–N g soilK1 compared to 3 mg

NO3K–N g soilK1) that in the control treatment. Although

glycine greatly increased net ammonification (Fig. 2), this

did not translate to an increase in nitrification unless AC was

added. The amount of extractable NH4C–N in soil after

Fig. 2. Average soil NH4C–N concentration (mg gK1 soil) for all three boreal

forest sites in northern Sweden after 8 weeks of incubation. 0Zcontrol,

CCZAC addition, CGZglycine addition, CLZbirch litter addition.

Values followed by different letters are significantly different at P!0.001.

amendment of glycine and AC was 20% lower compared to

when only glycine were added (Fig. 2). Birch litter resulted

in the immobilization of added N (Fig. 2) and did not have a

significant effect on net nitrification (Fig. 1). Addition of AC

or birch litter did not significantly increase soil pH, but the

addition of glycine resulted in a slight, yet significant

increase in pH (Table 2).

3.2. Field study

Accumulation of NH4C on ionic resin capsules during the

2.5 months in the field was approximately 20 times higher in

plots, where glycine had been added as an organic N source

(Fig. 3). The glycine treatment also exhibited higher

amounts of NH4C–N (mg capsuleK1) than did the treatment

with both glycine and charcoal (Fig. 3). The NO3K–N

accumulation on ionic resin capsules in the field was small

(Fig. 4) and there were no significant differences in the

amount of accumulated NO3K between treatments or

between sites. Total resin-sorbed polyphenols were signifi-

cantly lower on plots, where AC and glycine were added in

combination compared to the amounts in control plots

(Fig. 5). Amendment of glycine increased the amount of

resin-sorbed phenols. Despite this increase, AC did adsorb

significant amounts of phenols. When AC was added alone

Fig. 3. Average resin-sorbed NH4C–N (mg capsuleK1) for all three boreal

forest sites in northern Sweden after 2.5 month in the field. 0Zcontrol,

CCZAC addition, CGZglycine addition. Values followed by an asterisk

are significantly different at P!0.01.

Page 519: Agricultural Applications for Pine-Based BioChar

Fig. 4. Average resin-sorbed NO3K–N (mg capsuleK1) for each of three

boreal forest sites in northern Sweden after 2.5 month in the field.

0Zcontrol, CCZAC addition, CGZglycine addition.

L.M. Berglund et al. / Soil Biology & Biochemistry 36 (2004) 2067–2073 2071

the amount of polyphenols was lower as well, although this

effect was not statistically significant (Fig. 5). There was no

clear correlation (data not shown) between net nitrification

rates and total phenols in the field.

4. Discussion

4.1. Laboratory incubation

Amendment of soils with AC in the presence of glycine

increased net nitrification compared to the control and in the

treatment, where glycine was added alone. Although

glycine greatly increased net ammonification this did not

result in an increase in nitrification unless AC was added.

This positive effect by AC confirms the findings by DeLuca

et al. (2002) and suggests that AC improves specific

mechanisms or environmental conditions that otherwise

limit the nitrification process and underscores the notion that

net nitrification in boreal forests is not limited by

availability of substrate (NH4C). Nitrification in boreal

humus depends on a range of factors such as pH

Fig. 5. Average sorption of free polyphenols (mg capsuleK1) for all three

boreal forest sites in northern Sweden, after 2.5 month in the field.

0Zcontrol, CCZAC addition, CGZglycine addition. Values followed

by different letters are significantly different at P!0.05.

and moisture, and is generally thought to be substrate-

limited. Many studies have shown a strong correlation

between the amount of NH4C in the soil and NO3

K-

conversion (Currie, 1999; De Boer and Kowalchuk, 2001).

It is important to note that there was no increase in

nitrification with glycine alone in spite of the increase NH4C

hydrolysis induced increase in soil pH following rapid

ammonification of the added glycine. Conversely, there was

no increase in pH with addition of AC alone, but there was a

significant increase in net nitrification when AC was added

with glycine. This suggests that pH by itself is not a major

determining factor for nitrification in our study, but may

reflect some synergy between the AC and increased pH

associated with the glycine. The positive effect of AC on

nitrification could also be a result of the adsorption of

phenolics, since phenolics have a generally negative effect

on nitrifying bacteria (Paavolainen et al., 1998). The main

negative effect of phenolics on nitrification is suggested to

be inhibition of enzymes crucial for transformation of NH4C

to NO3K (White, 1994). It is also plausible that nitrifiers

aggregate around particles of AC, as AC can act as food

source supply for microorganisms due to the adsorption of

various soluble C substances. This aggregation of nitrifiers

could then produce a biofilm structure essential for

nitrification. De Boer et al. (1991), De Boer and Kowalchuk

(2001) have suggested that nitrifiers in acid environment

have developed a mechanism by which it is possible to

escape the negative effect of low soil pH on nitrification via

biofilm formation. Charcoal also have strongly hydrophobic

characteristics and could, when mixed into soil, alter

moisture conditions in soils, which may affect nitrifying

bacteria (Tate, 1995). Fierer and Schimel (2002) studied the

influence of repeated dry-wetting disturbance on nitrifying

bacteria and found an increase in population size with

increased number of disturbance events, and suggested that

nitrifiers are more drought-tolerant than other bacteria.

Our results show that the amount of extractable NH4C–N

in soil after amendment of glycine and AC was 20% lower

compared to when only glycine were added. Since

nitrification increased with addition of AC, a part of the

extractable NH4C is oxidized to NO3

K. However, this does

not explain the whole difference, it is plausible that some of

the glycine could have been adsorbed by AC.

Birch litter resulted in an immobilization of added N.

This could be due to the high glucose content in newly shed

birch litter (Pietikainen et al., 2000) which increased

microbial activity and subsequently increased the demand

for N. This did not occur in the treatment with no N

amendment, probably because here N was a limiting

resource. The addition of birch litter to the soil did not

have any significant effect on net nitrification. This result is

somewhat surprising because we had expected an increase

of nitrification after litter addition because birch stands

are often associated with higher nitrification potential.

Ste-Marie and Pare (1999) found that net nitrification rates

in deciduous forest floors were significantly higher than in

Page 520: Agricultural Applications for Pine-Based BioChar

L.M. Berglund et al. / Soil Biology & Biochemistry 36 (2004) 2067–20732072

nitrifying coniferous samples. The reason for the lack of

response in our study could simply be due to the short time

period and the fact that we used coniferous humus samples

which could have buffered the nitrification response.

4.2. Field study

Ammonium accumulation on ionic resin capsules during

the 2.5 months in the field was approximately 20 times

higher in plots, where glycine had been added as an organic

N source. This was not surprising considering that boreal

humus is generally assumed to be N limited, and glycine is

an easily mineralized organic N source. The glycine

treatment also exhibited higher amount of mg NH4C–N

capsuleK1 than did the treatment with combined glycine and

AC amendment. Although this effect was not statistically

significant, it corresponds well to the results found in

the soil incubation study which showed a hampering effect

of AC.

The NO3K–N accumulation on ionic resin capsules in the

field was small and there were no significant differences in

the amount of accumulated NO3K between treatments or

between sites. This result diverges from the results found in

the laboratory incubation and from field investigations that

used higher rates of AC (DeLuca et al., 2002). Microbial

assimilation and plant uptake from areas outside these

microsites might have consumed excess of NO3K, and

masked any increase in NO3K production. Thus, there might

have been an increase in gross nitrification but not net

nitrification. Stark and Hart (1997) demonstrated that there

is large gross nitrification in late coniferous soil although the

net nitrification is hardly detectable. In our previous field

studie, a similar injection approach was used to distribute

the AC, however, the rate that effectively altered nitrifica-

tion was 5 times greater (DeLuca et al., 2002) than the rate

used in this study, thereby allowing for greater coverage of

the humus in the microplots.

AC addition did reduce the amount of total free

polyphenols in the soil. Total resin-sorbed polyphenols

were significantly lower on plots, where AC and glycine

were added in combination compared to the amounts in

control plots. Amendment of glycine increased the amount

of resin-sorbed phenols, probably because glycine may have

increased decomposition of polyphenolic compound and

thus increased the amount of free phenolics. Despite this

increase, AC did adsorb significant amounts of phenols.

However, the amount of polyphenols accumulated on the

resin capsules was highly variable and there was a site by

treatment interaction. There was no clear correlation

between net nitrification rates and total phenols in the

field as was found by DeLuca et al. (2002). Total free

phenols are a large and variable group of compounds, so it is

likely that only some of the phenolic compounds influence

nitrification. Further work would have to be performed to

determine how soluble phenolic compounds in boreal forest

soils actually influence nitrifier activity.

5. Conclusions

We conclude that charcoal exhibits important character-

istics that affect regulating steps in N cycling. In this study

we found that nitrification was limited both by a lack of

available NH4C and a physical or biochemical factor that

was altered by the AC amendment. Further studies are being

conducted to elucidate the mechanism responsible for

charcoal induced nitrification. Understanding how N is

regulated in fire-dominated ecosystems is important given

the dramatically altered fire regimes in northern Sweden, as

well as other portions of the globe, over the last century.

Acknowledgements

The authors wish to thank Derek MacKenzie and Tracie

Graafstra for their efforts in the laboratory.

References

Ahti, T., Hamet-Ahti, L., Jalas, J., 1968. Vegetation zones and their sections

in Northwestern Europe. Annales Botanici Fennici 5, 169–211.

Choromanska, U., Deluca, T.H., 2001. Prescribed fire alters the effect of

wildfire on soil biochemical properties in a ponderosa pine forest. Soil

Science Society of America Journal 65, 232–238.

Choromanska, U., DeLuca, T.H., 2002. Microbial activity and nitrogen

mineralization in forest mineral soils following heating: evaluation of

post-fire effects. Soil Biology & Biochemistry 34, 263–271.

Currie, W.S., 1999. The responsive C and N biogeochemistry of the

temperate forest floor. Trends in Ecology and Evolution 14, 316–320.

De Boer, W., Kowalchuk, G.A., 2001. Nitrification in acid soils: micro-

organisms and mechanisms. Soil Biology & Biochemistry 33, 853–866.

De Boer, W., Klein Gunnewiek, P.J.A., Veenhuis, M., Bock, E.,

Laanbroek, H.J., 1991. Nitrification at low pH by aggregated

autotrophic bacteria. Applied and Environmental Microbiology 57,

3600–3604.

DeLuca, T.H., Zouhar, K.L., 2000. Effects of selection harvest and

prescribed fire on the soil nitrogen status of ponderosa pine forests.

Forest Ecology and Management 138, 263–271.

DeLuca, T.H., Nilsson, M.-C., Zackrisson, O., 2002. Nitrogen mineraliz-

ation and phenol accumulation along a fire chronosequence in northern

Sweden. Oecologia 133, 206–214.

Fierer, N., Schimel, J.P., 2002. Effects of drying-rewetting frequency on

soil carbon and nitrogen transformations. Soil Biology & Biochemistry

34, 777–787.

Gallet, C., Lebreton, P., 1995. Evolution of phenolic patterns in plants and

associated litters and humus of a mountain forest. Soil Biology &

Biochemistry 27, 157–165.

Hart, S.C., DeLuca, T.H., Newman, G.S., MacKenzie, M.D., Boyle, S.I.,

2004. Post-fire vegetative dynamics as drivers of microbial community

structure and function in forest soils. Forest Ecology and Management

2004 (in press).

Kaye, J.P., Hart, S.C., 1998. Ecological restoration alters nitrogen

transformations in a ponderosa pine-bunchgrass ecosystem. Ecological

Applications 8, 1052–1060.

Linder, P., Elfving, B., Zackrisson, O., 1997. Stand structure and

successional trends in virgin boreal forest reserves in Sweden. Forest

Ecology and Management 98, 17–33.

Page 521: Agricultural Applications for Pine-Based BioChar

L.M. Berglund et al. / Soil Biology & Biochemistry 36 (2004) 2067–2073 2073

Monleon, V.J., Cromack Jr.., K., Landsberg, J.D., 1997. Short- and long-

term effects of prescribed underburning on nitrogen availability in

ponderosa pine stands in central Oregon. Canadian Journal of Forest

Research 27, 369–378.

Morse, C.C., Yevdokimov, I.V., DeLuca, T.H., 2000. In situ extraction and

analysis of rhizosphere carbon of native and invasive plant species.

Community of Soil Science and Plant Analysis 31, 725–742.

Neary, D.G., Klopatek, C.C., DeBano, L.F., Ffolliott, P.F., 1999. Fire

effects on belowground sustainability: a review and synthesis. Forest

Ecology and Management 122, 51–71.

Nilsson, M.-C., Gallet, C., Wallstedt, A., 1998. Temporal variability of

phenolics and batatasin III in Empetrum hemaphroditum leaves over an

eight year period: interpretation of ecological function. Oikos 81, 6–16.

Northup, R., Yu, Z., Dahlgren, R.A., Vogt, K., 1995. Polyphenol control of

nitrogen release from pine litter. Nature 377, 227–229.

Paavolainen, L., Kitunen, V., Smolander, A., 1998. Inhibition of

nitrification in forest soil by monoterpens. Plant and Soil 205, 147–157.

Piccolo, A., Spaccini, R., Haberhauer, G., Gerzabek, M.H., 1999. Increased

sequestration of organic carbon in soil by hydrophobic protection.

Naturwissenschaften 86, 496–499.

Pietikainen, J., Kiikkila, O., Fritze, H., 2000. Charcoal as a habitat for

microbes and its effect on the microbial community of the underlying

humus. Oikos 89, 231–242.

Stark, J.M., Hart, S.C., 1997. High rates of nitrification and nitrate turnover

in undisturbed coniferous forests. Nature 385, 61–64.

Steijlen, I., Zackrisson, O., 1987. Long-term dynamics and successional

trends in a northern Swedish coniferous forest stand. Canadian Journal

of Botany 65, 879–898.

Ste-Marie, C., Pare, D., 1999. Soil pH and N availability effects on net

nitrification in the forest floors of a range of boreal forest stands. Soil

Biology & Biochemistry 31, 1575–1589.

Stern, J.L., Hagerman, A.E., Steinber, P.D., Winter, F.C., Estes, J.A., 1996.

A new assay for quantifying brown algal phlorotannins and compari-

sons to previous methods. Journal of Chemical Ecology 22, 1273–1294.

Tate, R.L., 1995. Soil Microbiology. Wiley, New York.

Wan, S., Hui, D., Luo, Y., 2001. Fire effects on nitrogen pools and

dynamics in terrestrial ecosystems: a meta-analysis. Ecological

Applications 11, 1349–1365.

Wardle, D.A., Zackrisson, O., Hornberg, G., Gallet, C., 1997. The influence

of island area on ecosystem properties. Science 277, 1296–1299.

Wardle, D.A., Zackrisson, O., Nilsson, M.-C., 1998. The charcoal effect on

boreal forests: mechanisms and ecological consequences. Oecologia

115, 419–426.

White, C.S., 1994. Monoterpens- their effect on ecosystem nutrient cycling.

Journal of Chemical Ecology 20, 1381–1406.

Zackrisson, O., 1977. Influence of forest fires on the north Sweden boreal

forest. Oikos 29, 22–32.

Zackrisson, O., Nilsson, M.-C., Wardle, D.A., 1996. Key ecological

function of charcoal from wildfire in the boreal forest. Oikos 77, 10–19.

Page 522: Agricultural Applications for Pine-Based BioChar

ORIGINAL PAPER

Charcoal effects on soil solution chemistry and growthof Koeleria macrantha in the ponderosa pine/Douglas-fir ecosystem

Michael J. Gundale & Thomas H. DeLuca

Received: 26 July 2005 /Revised: 10 April 2006 /Accepted: 12 April 2006 / Published online: 3 June 2006# Springer-Verlag 2006

Abstract We conducted laboratory and greenhouse experi-ments to determine whether charcoal derived from theponderosa pine/Douglas-fir ecosystem may influence soilsolution chemistry and growth of Koeleria macrantha, aperennial grass that thrives after fire. In our first experi-ment, we incubated forest soils with a factorial combinationof Douglas-fir wood charcoal generated at 350°C andextracts of Arctostaphylos uva-ursi with and without theaddition of glycine as a labile N source. These resultsshowed that charcoal increased N mineralization andnitrification when glycine was added, but reduced Nmineralization and nitrification without the addition ofglycine. Charcoal significantly reduced the solution con-centration of soluble phenols from litter extracts, but mayhave contributed bioavailable C to the soil that resulted inN immobilization in the no-glycine trial. In our secondexperiment, we grew K. macrantha in soil amended withcharcoal made at 350°C from ponderosa pine and Douglas-fir bark. Growth of K. macrantha was significantlydiminished by both of these charcoal types relative to thecontrol. In our third experiment, we grew K. macrantha insoil amended with six concentrations (0, 0.5, 1, 2, 5, and10%) of charcoal collected from a wildfire. The datashowed increasing growth of K. macrantha with charcoaladdition, suggesting some fundamental differences between

laboratory-generated charcoal and wildfire-produced char-coal. Furthermore, they suggest a need for a betterunderstanding of how temperature and substrate influencethe chemical properties of charcoal.

Keywords Charcoal . Soil solution chemistry .

Douglas-fir and ponderosa pine ecosystems

Introduction

It is well-established that fire alters N cycling in theponderosa pine/Douglas-fir (Pinus ponderosa/Psuedotsugamenziesii) ecosystem (Neary et al. 1999; Hart et al. 2005).Nitrogen availability has been shown to increase immedi-ately after fire (Covington and Sackett 1990, 1992; DeLucaand Zouhar 2000) and may remain elevated on the scale ofmonths to years as a result of enhanced mineralization(Covington and Sackett 1990, 1992; Monleon et al. 1997;Kaye and Hart 1998; Gundale et al. 2005). Numerousprocesses that increase N mineralization after fire have beenidentified, including improved substrate quality (White1991, 1994; Fernandez et al. 1997; Pietikainen et al.2000a), death of roots and soil organisms resulting in alarge labile organic N pool (DeBano et al. 1979; Dunn et al.1979; Diaz-Ravina et al. 1996; Neary et al. 1999), and areduction in C to N ratios due to preferential loss of Cduring combustion (Gundale et al. 2005). A potentiallyoverlooked factor that may also enhance N cycling after fireis the addition of charcoal to soils.

Several recent studies have shown that charcoal has thepotential to greatly enhance soil fertility. Amazonian forestsoils amended centuries ago with charcoal and manure stillmaintain some of the highest biodiversity and productivity

Biol Fertil Soils (2007) 43:303–311DOI 10.1007/s00374-006-0106-5

M. J. Gundale (*) : T. H. DeLucaDepartment of Ecosystem and Conservation SciencesUniversity of Montana,32 Campus Drive,Missoula, MT 59812, USAe-mail: [email protected]

T. H. DeLucae-mail: [email protected]

Page 523: Agricultural Applications for Pine-Based BioChar

of any soils within the Amazon basin (Glaser et al. 2001,2002; Mann 2002). In boreal forest soils, charcoal wasshown to enhance N cycling by ameliorating the inhibitoryeffects of litter extracts from late-successional species,which in turn promotes growth of early-successionalspecies (Zackrisson et al. 1996; Wardle et al. 1998; DeLucaet al. 2002; Berglund et al. 2004). Recently, DeLuca et al.(2006) found that the addition of wildfire-formed charcoalto ponderosa pine forest soils increased nitrification rates.

Charcoal may enhance soil fertility through a variety ofmechanisms. Increased N turnover may occur by charcoalsorption of high C:N organic molecules from the soilsolution (Zackrisson et al. 1996; Wardle et al. 1998; Glaseret al. 2002), resulting in reduced microbial N immobiliza-tion and higher net mineralization and nitrification rates. Inaddition, charcoal may remove specific groups of organicmolecules, including polyphenol or monoterpene com-pounds that are thought to inhibit nitrification (Rice andPancholy 1972; Zackrisson et al. 1996; DeLuca et al. 2002;Berglund et al. 2004). Sorption of organic molecules, alongwith the gradual breakdown of charcoal, may initiatehumus formation and, thus, enhance long-term soil fertility(Glaser et al. 2002). Charcoal may also enhance soilfertility by creating habitat for microbes within its porousstructure (Pietikainen et al. 2000b).

Despite these potential roles that charcoal may have inincreasing soil fertility, its ecological role in forest ecosys-tems, such as ponderosa pine/Douglas-fir, has received littleattention. We conducted three separate experiments usinglow-temperature charcoal to investigate whether charcoalinfluences soil solution chemistry and growth of an earlysuccessional species. In our first experiment, our objectivewas to determine whether charcoal had an influence on soilsolution chemistry after addition of the extracts of a latesuccessional species, Arctostapholos uvi-ursi, via surfaceadsorption of phenolic compounds. We hypothesized thatcharcoal added to a ponderosa pine forest soil willeffectively sorb the phenol fraction in litter extracts, whichwould correspond with enhanced N cycling.

In our second experiment, our objective was to comparethe influence of charcoal made from the bark of twospecies, ponderosa pine and Douglas-fir, on growth ofKoeleria macrantha, a perennial grass species that thrivesafter fire disturbance in western Montana ponderosa pine/Douglas-fir forests. Bark charring during low-intensitywildfire is a potentially significant source of charcoal inthis system. Charred bark may gradually slough from treesafter fire and become incorporated in the soils surroundingtrees. It is recognized that ponderosa pine is a more fire-adapted species than Douglas-fir; thus, an intriguinghypothesis is that charred bark of the more fire-adaptedspecies will have a stronger positive effect on N cyclingprocesses and plant growth.

In our third experiment, our objective was to determinewhether charcoal generated during a wildfire would haveany effect on K. macrantha growth and to determinewhether this relationship is dependent on soil charcoalconcentration. We hypothesized that wildfire charcoal willpositively influence K. macrantha and that this effect willincrease as a function of soil charcoal concentration.Collectively, these three experiments address our centralhypothesis that charcoal will alter solution chemistry bysorbing phenols and enhancing N cycling, which in turnwill improve the growth of early successional species.

Materials and methods

All three experiments utilized field-collected soil, whichwas collected from the subsurface horizon (20–30 cm, Bw

Horizon) of a forest soil associated with low elevation(1,100 m) ponderosa pine/Douglas-fir vegetation in westernMontana, USA. The soil is a sandy-skeletal, mixed, frigidTypic Dystrustepts. This ecosystem is characterized by lowannual rainfall (<350 mm annually) with approximately50% falling as snow during the winter months. Soil wascollected during the month of September, returned to thelab, upon which they were sieved (4 mm) and homoge-nized. We then added one part sand to three parts fieldmoist soil (by mass) to decrease fertility and increaseporosity and gas exchange, such that nitrification would notbe limited by low O2 availability. The sand fraction waspurchased as filter grade silica sand (for pool filters) andwas washed with 1 M HCl, followed by distilled water,before being homogenized with field collected soil. Thissand-amended soil had a pH of 6.8, electrical conductanceof 91.2 μS m−1, and had a textural distribution of 71%sand, 21% silt, and 8% clay.

All experiments also included the addition of eitherlaboratory-generated charcoal from Douglas-fir and ponder-osa pine or charcoal collected in the field after a wildfire.Laboratory charcoal was generated by burying wood or barkfrom these species in silica sand and heating at 350°C for 2 h.Charcoal was then ground and sieved as specified for eachexperiment. Various physical and chemical properties of thesecharcoals were measured (Table 1). Charcoal pH wasmeasured from a 4:1 slurry of deionized water to charcoal.Electrical conductance (EC) was measured from charcoalpaste (2:1 distilled water and charcoal). Cation exchangecapacity (CEC) was estimated on charcoal samples via NHþ4replacement where 1 g of charcoal was rinsed twice with25 ml of 1 M ammonium acetate (pH 7) to saturate exchangesites. Excess saturating solution was removed from charcoalsamples with three consecutive washes with 25 ml of 95%ethyl alcohol. Sorbed NHþ4 was then extracted with 25 ml of2 M KCl and analyzed on a segmented flow analyzer (Auto

304 Biol Fertil Soils (2007) 43:303–311

Page 524: Agricultural Applications for Pine-Based BioChar

Analyzer III, Bran Luebbe, Chicago, IL) using the Berthelotreaction (Willis et al. 1993). Charcoal density was measuredby measuring dry mass of intact charcoal pieces andmeasuring volume displacement in deionized water. TotalC was measured via dry combustion on a Fissions ElementalAnalyzer (Milano, Italy). Soluble and total phenols weremeasured by extracting 1 g of ground charcoal in 25 ml ofdeionized water and 50% methanol, respectively, and wereanalyzed using the Prussian Blue Method (Stern et al. 1996).Extractable NHþ4 and NO�3 (Mulvaney 1996) were extractedby shaking 1 g of charcoal for 30 min in 25 ml of 2 M KCl,and then filtering through Whatman #2 filters. The extractswere analyzed for NHþ4 –N using the Berthelot reaction(Willis et al. 1993) and NO�3 –N by the cadmium reductionmethod (Willis and Gentry 1987) on a segmented flowanalyzer (Auto Analyzer III). Soluble PO�34 was extracted byplacing 1 g of charcoal in 25 ml of 0.01 M CaCl2 for 30 min.Extracts were filtered through Whatman #42 filter paper andthen analyzed on a segmented flow analyzer using themolybdate method as described by Kuo (1996).

Experiment 1: charcoal sorption potential

We conducted a laboratory incubation study using the soildescribed above, where Douglas-fir charcoal and extract ofArctostaphylos uva-ursi were added in a factorial combi-nation yielding four treatments (Charcoal/Extract, Charcoal/No extract, No Charcoal/Extract, and No Charcoal/Noextract). Each treatment was replicated five times andconsisted of 300 g of soil and placed into mason jars. Thetreatments receiving charcoal addition received a 2%charcoal amendment (20 g/kg). Charcoal was generated ina muffle furnace by submerging Douglas-fir wood in sandand heating it at 350°C for 2 h. Charcoal was ground andsieved through a 4.75-mm sieve. A. uva-ursi extract wasmade by extracting 100 g of A. uva-ursi leaves in 1 l ofdeionized water for 24 h and filtering this extract throughWhatman #42 filters. The total phenol concentration of this

extract was 267.5 mg/l. Extract treatments received 25 mlof this extract. No-extract treatments received an equivalentvolume of deionized water. Soils were homogenizedfollowing this addition. This addition brought the soil ineach mason jar to a water content of approximately 60%WHC. Mason jars were incubated in the dark for 14 daysafter which a portion of the soil was extracted and analyzed.

This entire experiment was repeated exactly as describedabove but with glycine added to all mason jars as a source ofhighly labile organic N to stimulate a more marked Nresponse. Glycine, a simple amino acid that is readilymineralized to NHþ4 , was added to each mason jar at a rateof 75 mg/jar (250 mg/kg of soil). These two experiments willhereafter be referred to as the glycine and no-glycine trials.

Experiment 2: effects of bark charcoal on plant growth

This greenhouse experiment consisted of three treatments(Douglas-fir charcoal, ponderosa pine charcoal, and acontrol) using the sand-amended soil described above toevaluate the influence of charcoal source on K. macrantha.Each treatment consisted of 20 replicate pots where eachpot received 1.5 kg of soil, and charcoal treatments receiveda 2% (by mass) charcoal amendment. One percent of thischarcoal was homogenized into the soil, while the other 1%was evenly distributed on the soil surface. We madecharcoal from Douglas-fir and ponderosa pine in thelaboratory by burying bark of each species in silica sandand heating to 350°C in a muffle furnace for 2 h. Charcoalwas ground and sieved (<1 mm) using a Wiley mill.Organic horizons (Oi, Oe, and Oa) were added to the surfaceof each pot to add an additional and substantial mineraliz-able pool of plant essential nutrients, as well as to provide asource of bioavailable organic C that may influence soilnutrient transformations. This organic material was ran-domly collected (as described in Gundale et al. 2005) froma ponderosa pine/Douglas-fir forest that had not beenexposed to fire for approximately 80 years and originatedfrom numerous species, including understory and overstoryspecies, but appeared to be primarily composed ofundecomposed ponderosa pine and Douglas-fir litter. Theorganic material was homogenized and 100 g was added tothe surface of each pot. A mixed bed ionic resin capsule(Unibest, Bozeman, MT) was placed in the center of eachpot to sorb nutrients throughout the duration of theexperiment.

K. macrantha was grown in these pots between October2004 and March 2005 under ambient light conditions. Anaverage greenhouse temperature of 21°C was maintained. K.macrantha seeds (Western Native Seeds, Coaldale, CO)were germinated in a separate soil medium, and a singleseedling was transplanted into each pot. Pots were watered3 days a week throughout the duration of the experiment. At

Table 1 Chemical properties of four charcoal types (df Douglas-fir,pp ponderosa pine, wildfire wildfire collected) used in the laboratoryand greenhouse experiments

df Wood df Bark pp Bark Wildfire

pH 4.15 4.18 4.81 5.74EC (μS g−1) 20.5 24.2 111.6 141.5CEC (cmolc kg

−1) 20.66 19.42 34.48 29.35Density (g cm−3) 0.30 0.08 0.21 0.29Total C (%) 72.9 72.4 71.5 82.3Soluble phenols (μg g−1) 34.9 30.7 43.4 48.2Total phenols (μg g−1) 441.7 148.1 810.4 393.8PO�34 (μg g−1) 0.94 0.84 2.46 0.95NHþ4 (μg g−1) 7.12 9.0 5.6 38.3NO�3 (μg g−1) 0.12 0.3 0.0 4.4

Biol Fertil Soils (2007) 43:303–311 305

Page 525: Agricultural Applications for Pine-Based BioChar

the end of the experiment, resin capsules were recovered,and soil was rinsed from roots. Plants were oven-dried at 65°C,and above- and belowground masses were measured.

Experiment 3: effect of wildfire charcoal on plant growth

Charcoal collected from a wildfire site was added to the soildescribed above at a rate of 0, 0.5, 1, 2, 5, and 10%, andplaced in greenhouse pots seeded with K. macrantha todetermine whether an increase in soil charcoal content hasany influence on the growth of K. macrantha. Eachtreatment (n=10) was established by adding 1.0 kg ofcharcoal-amended soil per pot. The charcoal used in thisexperiment differed from both previous experiments becauseit was collected after a wildfire rather than generated in thelaboratory. Large particles (>5-cm diameter) of charcoalwere collected in the spring of 2004 from the BlackMountain Fire (August 2003), Missoula, MT, (DeLuca etal. 2006). It was impossible to decipher the species origin ofthis charcoal, but it was likely primarily Douglas-fir andponderosa pine wood and bark char. The charcoal particleswere crushed, using a mallet, producing fragments rangingfrom a diameter of 2 cm to microscopic. No attempt wasmade to discriminate against any size class in an attempt tosimulate the range of charcoal particle sizes likely incorpo-rated into the soil under natural conditions. Organic horizonmaterials (50 g) were collected from a forest stand notexposed to fire for over 80 years and added to the surface ofeach pot as described earlier. All other experimentalconditions were run identically to experiment 2.

Laboratory analyses

At the end of experiment 1, 30 g of soil were extracted with2 M KCl and analyzed for NHþ4 and NO�3 as describedabove. Amino N was measured on these same extractsusing the ninhydrin method (Moore 1968). Soluble phenolswere extracted by shaking 30 g of soil for 1 h with 50 ml ofdeionized water followed by filtration. Sorbed phenols wereextracted by shaking 30 g of soil with 50% methanol for24 h followed by filtration. Phenols in these extracts weremeasured using the Prussian blue method (Stern et al.1996). Respiration was measured at the end of theincubation by incubating 50 g dry weight equivalent soilin a sealed container with 20 ml 1 M NaOH traps for 3 days(Zibilske 1994).

Mixed bed ionic resin capsules (Unibest) were used inexperiments 2 and 3 to determine solution NHþ4 ;NO

�3 , and

PO�4 throughout the duration of the experiments. Capsuleswere placed in the center of each pot, directly beneath eachplant, and were removed and extracted in 10 ml of 2-M KClthree consecutive times. We analyzed NHþ4 ;NO

�3 , and

PO�34 from these extracts as described previously.

Statistical analyses

Data in experiment 1 meeting assumptions of normality andhomoscedasticity were analyzed using two-factor analysisof variance (ANOVA), where extract and charcoal wereentered as fixed factors under the general linear model.Variables not meeting these assumptions were analyzedusing a Kruskal–Wallis test (K–W test). This analysis testsfor differences among treatments but does not evaluate thesignificance of individual factors or interactions betweenfactors.

Data in experiments 2 and 3 were analyzed using one-factor ANOVA followed by the Student–Newman–Keulspost hoc procedure. Different letters are used to display posthoc differences. Data not meeting assumption of normalityand homoscedasticity were compared using K–W tests,which were not followed by post hoc procedures. Allanalyses were conducted using SPSS 12.0 software.

Results and discussion

Experiment 1: low temperature charcoal sorption potential

Both charcoal and litter extract significantly influencednumerous soil chemical variables (Fig. 1). In both glycineand no-glycine trials, litter extract negatively influencedextractable NO�3 concentrations. The negative influence ofA. uva-ursi on extractable NO�3 reported here is consistentwith our previous studies in ponderosa pine forest soils(DeLuca et al. 2006) and with studies that showed that litterfrom late-successional boreal species, such as the ericaceousshrub Empetrum hermaphroditum, diminishes net nitrifica-tion (DeLuca et al. 2002; Berglund et al. 2004). Charcoalhad an unexpected negative effect on NO�3 in the no-glycinetrial. In contrast, the addition of charcoal increased NO�3concentrations in the glycine trial. These results may be afunction of the charcoal we used in this study, which wasgenerated at a low temperature (350°C). Charcoal contains asignificant concentration of bioavailable C, specificallysoluble phenols (Table 1) that may have caused net NO�3immobilization (Schimel et al. 1996) in the no-glycine trialwhere low NHþ4 concentrations existed (Rice and Tiedje1989). The NO�3 immobilization effect did not occur in theglycine trial because NHþ4 limitations were drasticallyreduced with glycine addition. In addition, higher rates ofnitrification in the glycine trial likely occurred because thisprocess was not limited by a lack of substrate availability(glycine additions resulted in high NHþ4 concentrations).

The higher rate of nitrification associated with charcoalin the glycine trial is consistent with the finding reported byDeLuca et al. (2006), which suggests that charcoal maysorb compounds from litter extract and the soil solution that

306 Biol Fertil Soils (2007) 43:303–311

Page 526: Agricultural Applications for Pine-Based BioChar

are inhibitory to nitrifying bacteria, or sorb carbon-richmolecules that would otherwise stimulate microbial immo-bilization of N.

A. uva-ursi extract had a strong positive effect on NHþ4in both no-glycine and glycine trials because it likelycontained some NHþ4 and substrates that are rapidlymineralized to NHþ4 . Charcoal had a strong negative effecton NHþ4 in both no-glycine and glycine trials. The

mechanisms for this pattern may differ between the twotrials. In the no-glycine trial, the most likely explanation forreduced NHþ4 is that immobilization occurred as a functionof N limitations in these soils. In the glycine trial, higherrates of nitrification associated with charcoal likely con-tributed to lower NHþ4 concentrations.

Both charcoal and extract significantly influenced con-centrations of amino N that represent a highly labile

Ph

eno

ls (

µ µ g g

-1)

0

5

10

15

20

Soluble Phenols Sorbed Phenols

Soluble Phenols KW test **

Sorbed Phenols Charcoal *** Extract *** Charcoal x Extract NS

0

5

10

15

20Soluble Phenols KW test *

Sorbed Phenols Charcoal *** Extract ** Charcoal x Extract NS

0

50

100

150

200Amino N Charcoal *** Extract * Charcoal X Extract NSAmmonium Charcoal *** Extract ** Charcoal x Extract NSNitrate KW test ***

Ext

ract

able

N (

µ µ g g

-1)

0

5

10

15

20

Amino N NH4

+

NO3-

Amino N Charcoal * Extract *** Charcoal x Extract **Ammonium KW test ***Nitrate Charcoal *** Extract *** Charcoal x Extract *

S S + E S + C S + C + E

Res

pir

atio

n (

µ µ g C

O2 d

ay-1

)

0.0

0.1

0.2

0.3

0.4

0.5

Respiration Charcoal NS Extract * Charcoal x Extract NS

S S + E S + C S + C + E0.0

0.1

0.2

0.3

0.4

0.5Respiration Charcoal NS Extract NS Charcoal x Extract **

a b

c d

e f

No-Glycine Trial Glycine Trial

Fig. 1 Extractable amino N, NHþ4 , and NO�3 [mean (SE)] without(a) and with (b) glycine addition; soluble (water extracted) and sorbedphenols (methanol extracted) [mean (SE)] without (c) and with (d) glycineaddition; and basal soil respiration [mean (SE)] without (e) and with(f) glycine addition, from a 14-d soil incubation experiment where soilswere amended with a factorial combination of charcoal and extracts fromArctostaphylos uva-ursi leaves (S soil only, S+E soil plus extract, S+C soil

plus charcoal, S+C+E soil plus charcoal plus extract). Data were analyzedwith a two-factor ANOVA where significance was tested for Charcoal,Extract, and Charcoal × Extract interaction. Data that did not meetparametric assumptions of normality or homoscedasticity were analyzedusing a Kruskal–Wallis (KW) test. Asterisks represent statistical signifi-cance (p value, ns >0.1, *<0.05, **<0.01, ***<0.001)

Biol Fertil Soils (2007) 43:303–311 307

Page 527: Agricultural Applications for Pine-Based BioChar

fraction of organic N that can be rapidly mineralized.Glycine, which is a simple amino N molecule, stimulatedrapid rates of N mineralization and resulted in increasedamino N concentrations, which suggests that the addedglycine was not completely utilized and that substratelimitations were eliminated during this trial. In glycine andno-glycine trials, the litter extract resulted in higherconcentrations of amino N to soils. The effect of charcoalon amino N, however, differed in glycine and no-glycinetrials. In the no-glycine trial, charcoal significantly in-creased amino N concentrations. This response may haveoccurred because charcoal sorbed phenolic molecules thatotherwise would form insoluble complexes with amino Ngroups. In contrast, charcoal had a negative effect on aminoN in the glycine trial, which is likely the result of charcoalenhancing microbial utilization of glycine.

As expected, A. uva-ursi extract significantly increasedphenols (soluble and sorbed) in both trials. The addition ofcharcoal to soil significantly diminished the soluble phenolconcentration while increasing the pool of sorbed phenol.This result is consistent with several studies in the borealforest that have demonstrated a high capacity of charcoal toadsorb phenolic compounds (Zackrisson et al. 1996; Wardleet al. 1998; DeLuca et al. 2002; Berglund et al. 2004).Solubility of these fractions likely influences the degree towhich they are bioavailable and, therefore, their ability tointerfere with N transformations (Harborne 1997). It isinteresting to note that total phenols (sorbed and soluble)was higher in the charcoal-only treatment of both trials thanthe control, demonstrating that charcoal itself adds asubstantial amount of total phenol to the soil (Table 1).These phenols are likely derived from the components of

wood, such as lignin that are degraded during charcoalformation. It is unclear what effect these phenols have onsoil processes, but it is likely that they could be utilized as afood source by microbes, stimulating N immobilization.

Soil respiration showed little response to charcoal inglycine or no-glycine trials. In the no-glycine trial, the extractsignificantly increased soil respiration. Extract and charcoalhad no individual effect on soil respiration in the glycine trial;however, the interaction between charcoal and extract showeda significant effect. We speculate that this response mayreflect that amines and degradable carbon substrates werebetter utilized by microbes when phenolic molecules in thesame extract were sorbed by charcoal.

These data demonstrate that low-temperature charcoaleffectively sorbs soluble phenols from A. uva-ursi extracts,which in turn stimulates nitrification, provided nitrification isnot substrate-limited. Our results are consistent withBerglund et al. 2004 and DeLuca et al. (2002), who showedthat the effect of charcoal on nitrification only occurred whena labile N source was also present. These studies are alsoconsistent with the Terra Preta phenomenon reported in theAmazonian basin where charcoal and manure (high labile Nconcentration) were historically incorporated into the soil(Glaser et al. 2001, 2002). Today, these soils maintain thehighest fertility in the region, which may in part be afunction of the interactive effect of charcoal and manure.

Experiment 2: effects of bark charcoal on plant growth

In this experiment, we unexpectedly found that charcoalfrom both species diminished growth of K. macrantharelative to the control with reduced mass in both above-ground and belowground growth (Table 2). K. macranthagrowing in pots with Douglas-fir charcoal had a signifi-cantly higher root to shoot ratio than the other treatmentsthat appeared to be primarily driven by low abovegroundbiomass. This data suggests that there is likely no differencein the effect of ponderosa pine and Douglas-fir charcoal onplant species in this ecosystem.

We found that resin-sorbed NHþ4 and NO�3 weresignificantly higher in the Douglas-fir charcoal treatmentrelative to the ponderosa pine charcoal treatment and thecontrol. Resin-sorbed PO�34 was significantly higher in bothDouglas-fir and ponderosa pine charcoal treatments thanthe control. These results may be interpreted in severalways. First, they may indicate higher mineralization andnitrification rates in the presence of charcoal as suggestedby experiment 1. If higher mineralization occurred in thepresence of charcoal, it is unclear why a correspondingincrease in plant growth did not occur. It is possible thatsome toxic substance was generated during charcoalformation that inhibited root growth of K. macrantha,despite a positive effect on nutrient availability (Fritze et al.

Table 2 Plant mass and resin sorbed nutrients (mean±SE, n=20) froma greenhouse experiment where soil was amended with 2% charcoalmade from Douglas-fir (df) and ponderosa pine (pp) bark at 350°C

dfCharcoal

ppCharcoal

noCharcoal

pvalue

Total mass (g) a1.6 (0.2) a1.9 (0.1) b2.5 (1.0) <0.001Root mass (g) a0.8 (0.1) a0.9 (0.1) b1.2 (0.1) <0.05Abovegroundmass (g)

a0.7 (0.1) b1.0 (0.1) c1.3 (0.1) <0.001

Root to shootratio

a1.1 (0.1) b0.9 (0.1) b0.9 (0.1) <0.01

NHþ4 (μg resincapsule−1)

a4.6 (0.9) b1.4 (0.6) b2.2 (0.8) <0.05

NO�3 (μg resincapsule−1)

a1,770.8(286.2)

b935.8(241.9)

b581.5(211.8)

<0.01

PO�34 (μg resincapsule−1)

a5.1 (1.4) a5.6 (0.9) b0.5 (1.2) <0.05

Letters in bold indicate differences using the Student–Newman–Keulspost hoc procedure

308 Biol Fertil Soils (2007) 43:303–311

Page 528: Agricultural Applications for Pine-Based BioChar

1998; Villar et al. 1998). These toxic substances are likelyto be more abundant in low temperature charcoals, such asused in this experiment, and may be prone to volatilizationat higher temperatures. An additional explanation is thatcharcoal may have enhanced soil macroporosity, allowingmore soil solution to pass through capsules, resulting inmisleading resin-sorbed nutrient concentrations.

Experiment 3: effect of wildfire charcoal on plant growth

In support of our hypothesis, natural charcoal collected from awildfire showed a positive effect on growth of K. macrantha(Table 3). Both total and aboveground masses were signifi-cantly higher in pots amended with 5 and 10% charcoaladdition than the control. Pots with lower charcoal content(0.5–2%) showed an intermediate growth response. Nosignificant shift in allocation to above- or belowgroundstructures was detected across the charcoal gradient. As inexperiment 2, resin-sorbed NO�3 and PO�34 decreased as plantgrowth increased. These results suggest that these measure-ments do not reflect any direct effect charcoal may have onnutrient cycling, but are rather indicative of the solution nutrientconcentration as influenced by plant uptake. No difference inresin sorbed NHþ4 occurred across the charcoal gradient.

The different responses of K. macrantha to charcoal inexperiments 2 and 3 suggest that charcoal produced in alaboratory may be greatly different from charcoal generatedduring wildfire. Differences in charring conditions mayinfluence the chemical and structural nature of charcoal andmay therefore change its influence on soil solutionchemistry. One potentially important difference betweenlaboratory- and wildfire-collected charcoal was the ratio ofsoluble phenols to NHþ4 concentration extracted from thecharcoals (Table 1). While all charcoal had relativelysimilar soluble phenol contents, which may stimulatemicrobial N immobilization, high NHþ4 concentrations

may have offset this immobilization effect when wildfirecharcoal was used. Another potentially important differenceis the different pH of laboratory charcoal and wildfirecharcoal (Table 1). The low pH associated with the labcharcoals may have indirectly diminished P availabilityin these treatments. Another difference between thecharcoal used in experiments 2 and 3 was the rangeof charcoal particle size used. Experiment 3 incorporatedcharcoal ranging from large (1–2 cm) to microscopicfractions. We noted substantial root penetration into largecharcoal particles at the end of this greenhouse experiment,which suggests that some resource, such as water, is moreavailable inside large charcoal particles. It is also possiblethat grinding charcoal to a smaller size class, in some way,eliminates its beneficial effects on soil fertility. Forinstance, grinding may enhance the availability of organiccarbon because it is very immobile, whereas N ions aresignificantly more mobile; thus, nutrient immobilizationmay be more substantial when charcoal is ground.

Conclusion

It is clear that charcoal has the potential to significantly altersoil solution chemistry and growth of K. macrantha. Charcoaldid not appear to stimulate N cycling in a low-nutrientsetting, but when glycine was added to soil, charcoal greatlyenhanced N mineralization and nitrification. This result mayindicate that low temperature charcoal contributes bioavail-able carbon that causes N immobilization under low nutrientconditions. As hypothesized, charcoal effectively sorbedsoluble phenols from litter extracts. This sorption mayeffectively reduce the inhibitory effect of litter extracts onsoil microorganisms, plants, and biogeochemical processes.Low-temperature, laboratory-generated charcoal had a nega-tive effect on growth of K. macrantha, possibly as a result of

Table 3 Plant mass and resin sorbed nutrients (mean±SE, n=10) from a greenhouse experiment where soil was amended with 0, 0.5, 1, 2, 5, and10% charcoal collected from a wildfire

Percent charcoal

0% 0.5% 1% 2% 5% 10% p

Total mass (g) a0.5 (0.2) ab1.0 (0.3) ab1.1 (0.2) ab1.1 (0.2) b1.3 (0.1) b1.4 (0.1) <0.05Root mass (g) 0.3 (0.2) 0.6 (0.2) 0.7 (0.1) 0.7 (0.1) 0.8 (0.1) 0.8 (0.1) >0.05Aboveground mass (g) a0.2 (0.1) ab0.4 (0.1) ab0.4 (0.1) ab0.4 (0.1) b0.5 (0.1) b0.6 (0.1) <0.01Root to shoot ratio 1.5 (0.2) 1.5 (0.3) 1.8 (0.2) 1.7 (0.3) 1.6 (0.2) 1.3 (0.1) >0.05NHþ4 (μg resin capsule−1) 55.6 (4.0) 49.8 (4.6) 36.9 (6.0) 42.7 (2.2) 43.0 (1.3) 44.4 (2.9) <0.05a

NO�3 (μg resin capsule−1) a1,539.8(463.4)

b947.9(128.4)

bc552.3(116.3)

bc556.1(93.4)

bc561.8(278.7)

c248.6(29.8)

<0.001

PO�34 (μg resin capsule−1) a10.1 (1.4) a8.8 (2.1) ab5.8 (1.2) ab6.5 (1.7) bc1.7 (1.0) c0.0 (1.2) <0.001

Letters in bold indicate differences using the Student–Newman–Keuls post hoc procedureAll p values are for one-way ANOVA, unless otherwise notedaKruskal–Wallis test p value

Biol Fertil Soils (2007) 43:303–311 309

Page 529: Agricultural Applications for Pine-Based BioChar

a toxicity effect caused by some compound formed duringlow temperature charring or by N immobilization, assuggested by the no-glycine soil incubation. In contrast,charcoal created during a wildfire had a positive effect on thegrowth of K. macrantha, suggesting low-temperature, labo-ratory charcoal may not adequately represent field-collectedcharcoal. Field-collected charcoal may have been generatedin a higher oxygen, higher temperature environment and mayhave been exposed to leaching by rainwater and occlusion bysoil organic compounds before collection. Further investiga-tion is required to evaluate how charcoal formation conditionsalter its effect on soil processes and plant growth and howthese processes manifest themselves in natural ecosystems.

Acknowledgements We thank V. Kurth, D. Mackenzie, and T.Burgoyne for their assistance in the laboratory and greenhouse. Wealso acknowledge funding from the NSF (NSF-DEB-03171108) andthe USDA Joint Fire Sciences Program (FFS #107) for this research.

References

Berglund LM, DeLuca TH, Zackrisson O (2004) Activated carbonamendments of soil alters nitrification rates in Scots pine forests.Soil Biol Biochem 36:2067–2073

Covington WW, Sackett SS (1990) Fire effects on ponderosa pinesoils and their management implications. USDA Forest ServiceRM-GTR-191. Rocky Mountain Forest and Range ExperimentStation, Flagstaff, AZ, pp 105–111

Covington WW, Sackett SS (1992) Soil mineral nitrogen changesfollowing prescribed burning in ponderosa pine. For Ecol Manag54:175–191

DeBano LF, Eberlein GE, PHD (1979) Effects of burning on chaparralSoils: I. Soil nitrogen. Soil Sci Soc Am J 43:504–509

DeLuca TH, Zouhar KL (2000) Effects of selection harvest andprescribed fire on the soil nitrogen status of ponderosa pineforests. For Ecol Manag 138:263–271

DeLuca TH, Nilsson M-C, Zackrisson O (2002) Nitrogen mineraliza-tion and phenol accumulation along a fire chronosequence innorthern Sweden. Oecologia 133:206–214

DeLuca TH, MacKenzie MD, Gundale MJ, Holben WE (2006)Wildfire-produced charcoal directly influences nitrogen cyclingin forest ecosystems. Soil Sci Soc Am J 70:448–453

Diaz-Ravina M, Prieto A, Baath E (1996) Bacterial activity in a forestsoil after soil heating and organic amendments measured by thethymidine and leucine incorporation techniques. Soil BiolBiochem 28:419–426

Dunn PH, DeBano LF, Eberlein GE (1979) Effects of burning onchaparral soils: II. Soil microbes and nitrogen mineralization.Soil Sci Soc Am J 43:509–514

Fernandez I, Cabaneiro A, Carballas T (1997) Organic matter changesimmediately after a wildfire in an Atlantic forest soil andcomparison with laboratory soil heating. Soil Biol Biochem29:1–11

Fritze H, Pennanen T, Kitunen V (1998) Characterization ofdissolved organic carbon from burned humus and its effects onmicrobial activity and community structure. Soil Biol Biochem30:687–693

Glaser B, Haumaier L, Guggenberger G, Zech W (2001) The ‘TerraPreta’ phenomenon: a model for sustainable agriculture in thehumid tropics. Naturwissenschaften 88:37–41

Glaser B, Lehmann J, Zech W (2002) Amerliorating physical andchemical properties of highly weathered soils in the tropics withcharcoal—a review. Biol Fertil Soils 35:219–230

Gundale MJ, DeLuca TH, Fiedler CE, Ramsey PW, Harrington MG,Gannon JE (2005) Restoration management in a Montanaponderosa pine forest: effects on soil physical, chemical, andbiological properties. For Ecol Manag 213:25–38

Harborne JB (1997) Role of phenolic secondary metabolites in plantsand their degradation in nature. In: Cadisch G, Giller KE (eds)Driven by nature: plant litter quality and decomposition. CABInternational, Oxon, UK

Hart SC, DeLuca TH, Newman GS, MacKenzie MD, Boyle SI (2005)Post-fire vegetative dynamics as drivers of microbial communitystructure and function in forest soils. For Ecol Manag 220:166–184

Kaye JP, Hart SC (1998) Ecological restoration alters nitrogentransformations in a ponderosa pine-bunchgrass ecosystem. EcolAppl 8:1052–1060

Kuo S (1996) Phosphorus. In: Sparks DL (ed) Methods of soilanalysis. Part 3—chemical methods. SSSA Book Series 5. SoilScience Society of America, Madison, WI, pp 896–919

Mann CC (2002) The real dirt on rainforest fertility. Science297:920–923

Monleon VJ, Cromack K, Landsberg JD (1997) Short-and long-termeffects of prescribed underburning on nitrogen availability inponderosa pine stands in central Oregon. Can J For Res27:369–378

Moore S (1968) Amino acid analysis: aqueous dimethyl sulfide as asolvent for the ninhydrin reagent. J Biol Chem 243:6281–6283

Mulvaney RS (1996) Nitrogen—inorganic forms. In: Sparks DL (ed)Methods of soil analysis. Part 3—chemical methods. Soil ScienceSociety of America, Madison, WI, pp 1123–1184

Neary DG, Klopatek CC, DeBano LF, Ffolliott PF (1999) Fire effectson belowground sustainability: a review and synthesis. For EcolManag 122:51–71

Pietikainen J, Hiukka R, Fritze H (2000a) Does short-term heating offorest humus change its properties as a substrate for microbes?Soil Biol Biochem 32:277–288

Pietikainen J, Kiikkila O, Fritze H (2000b) Charcoal as a habitat formicrobes and its effect on the microbial community of theunderlying humus. Oikos 89:231–242

Rice EL, Pancholy SK (1972) Inhibition of nitrification by climaxecosystems. Am J Bot 59:1033–1040

Rice C, Tiedje J (1989) Regulation of nitrate assimilation byammonium in soils and in isolated soil microorganisms. SoilBiol Biochem 21:597–602

Schimel JP, VanCleve K, Cates RG, Clausen TP, Reichardt PB (1996)Effects of balsam poplar (Populus balsamifera) tannins and lowmolecular weight phenolics on microbial activity in taigafloodplain soil: implications for changes in N cycling duringsuccession. Can J Bot 74:84–90

Stern JL, Hagerman AE, Steinberg PD, Winter FC, Estes JA (1996) Anew assay for quantifying brown algal phlorotannins andcomparisons to previous methods. J Chem Ecol 22:1273–1293

Villar MC, González-Prieto SJ, Carballas T (1998) Evaluation of threeorganic wastes for reclaiming burnt soils: improvement in therecovery of vegetation cover and soil fertility in pot experiments.Biol Fertil Soils 26:122–129

Wardle DA, Zackrisson O, Nilsson M-C (1998) The charcoal effect inboreal forests: mechanisms and ecological consequences. Oecologia115:419–426

White CS (1991) The role of monoterpenes in soil in soil nitrogencycling processes in ponderosa pine: results from laboratorybioassays and field studies. Biogeochemistry 12:43–68

White CS (1994) Monoterpenes: their effects on ecosystem nutrientcycling. J Chem Ecol 20:1381–1406

310 Biol Fertil Soils (2007) 43:303–311

Page 530: Agricultural Applications for Pine-Based BioChar

Willis RB, Gentry CE (1987) Automated method for determiningnitrate and nitrite in water and soil extracts. Commun Soil SciPlant Anal 18:625–636

Willis RB, Schwab GJ, Gentry CE (1993) Elimination of interferencesin the colormetric analysis of ammonium in water and soilextracts. Commun Soil Sci Plant Anal 24:1009–1019

Zackrisson O, Nilsson M-C, Wardle DA (1996) Key ecological functionof charcoal from wildfire in the Boreal forest. Oikos 77:10–19

Zibilske LM (1994) Carbon mineralization. In: Weaver RW, Angle S,Bottomly P (eds) Methods of soil analysis. Part 2: microbiolog-ical and biochemical properties. Soil Science Society America,Madison, WI, pp 835–863

Biol Fertil Soils (2007) 43:303–311 311

Page 531: Agricultural Applications for Pine-Based BioChar

Adsorption of allelopathic compounds by wood-derived charcoal:the role of wood porosity

Olivier Keech1,2,4, Christopher Carcaillet3 & Marie-Charlotte Nilsson11Department of Forest Vegetation Ecology, Swedish University of Agricultural Sciences, SE-901 83, Umea,Sweden. 2Present address: Department of Plant Physiology, Umea Plant Science Centre, University ofUmea, SE-901 87, Umea, Sweden. 3Centre of Bio-Archaeology and Ecology (UMR 5059), CNRS/Universite Montpellier 2, EPHE, Institut de Botanique, 163 rue Broussonet, F-34090 Montpellier, France.4Corresponding author*

Received 21 July 2004. Accepted in revised form 26 October 2004

Key words: adsorption, allelopathy, boreal forests, Empetrum hermaphroditum, germination, wood-derived charcoal anatomy

Abstract

In Swedish boreal forests, areas dominated by the dwarf shrub Empetrum hermaphroditum Hagerup areknown for their poor regeneration of trees and one of the causes of this poor regeneration has beenattributed to allelopathy (i.e. chemical interferences) by E. hermaphroditum. Fire-produced charcoal issuggested to play an important role in rejuvenating those ecosystems by adsorbing allelopathic com-pounds, such as phenols, released by E. hermaphroditum. In this study, we firstly investigated whetherthe adsorption capacity of charcoal of different plant species varies according to the wood anatomicalstructures of these, and secondly we tried to relate the adsorption capacity to wood anatomical struc-ture. Charcoal was produced from eight boreal and one temperate woody plant species and the adsorp-tion capacity of charcoal was tested by bioassays technique. Seed germination was used as ameasurement of the ability of charcoal to adsorb allelochemicals. The charcoal porosity was estimatedand the pore size distribution was then calculated in order to relate the wood anatomical features to theadsorption capacity. The results showed that the adsorption capacity of charcoal was significantly differ-ent between plant species and that deciduous trees had a significantly higher adsorption capacity thanconifers and ericaceous species. The presence of macro-pores rather than a high porosity appears to bethe most important for the adsorption capacity. These results suggest that fire-produced charcoal hasdifferent ability to adsorb phenols in boreal forest soil, and therefore may have differing effects on thegermination of seeds of establishing tree seedlings.

Introduction

Wildfire is the most important disturbance factorin boreal forests (Johnson, 1992; Payette, 1992)occurring with 50–100 years of intervals in Fen-noscandia (e.g., Engelmark, 1984, 1999; Hellberget al., 2004; Lehtonen and Huttunen, 1997;Niklasson and Granstrom, 2000; Zackrisson,

1977). In Northern Sweden, early post-fire suc-cessions are usually dominated by Pinus sylvestrisL., Populus tremula L. and Betula pubescensEhrh. in the overstorey and, Vaccinium myrtillusL. in the understorey. Long periods without firefavour the growth of Picea abies (L.) H. Karstand of the small fire sensitive dwarf shrub Empe-trum hermaphroditum Hagerup (Haapasaari,1988; Steijlen and Zackrisson, 1987). The firesuppression over the last 100 years in Swedishboreal forests has led to an intensive use of

* FAX No: +46-90-786-6676E-mail: [email protected]

Plant and Soil (2005) 272: 291–300 � Springer 2005DOI 10.1007/s11104-004-5485-5

Page 532: Agricultural Applications for Pine-Based BioChar

mechanical soil scarification on clear-cuts andhas triggered the expansion and the dominanceof E. hermaphroditum (Zackrisson, 1977). E. her-maphroditum is today one of the most commonspecies on northern inland clear-cuts (Data fromthe Swedish National Forest Survey) where itthrough chemical interference causes tree regener-ation failures (Nilsson and Zackrisson, 1992).

Allelopathy, which involves the release of sec-ondary plant metabolites, is a key process regu-lating plant regeneration in many worldecosystems (e.g., Fisher, 1987; Keeley et al.,1985; Li and Romane, 1997; Pellissier, 1993;Rice, 1979; Richardson and Williamson, 1988;Waller, 1987; Wardle et al., 1998a). In the borealforests of northern Sweden, E. hermaphroditumreleases phenolic compounds, and in particularlythe dihydrostilbene Batatasin-III, from greenleaves and litter (Nilsson et al., 1998; Oden et al.,1992; Wardle et al., 1998b; Zackrisson and Nils-son, 1992) which inhibits seed germination andseedling emergence, disturbs the plasmalemmaintegrity of target roots’ cells (Wallstedt et al.,2001) and negatively affects mycorrhizal symbio-sis of coniferous trees (Nilsson et al., 1993). Fur-ther, Batatasin-III impairs soil microbial activityand slows down decomposition which both con-tribute to an increased accumulation of soilorganic material with time since last fire distur-bance (DeLuca et al., 2002; Zackrisson et al.,1996). Many phenolic compounds also formrecalcitrant complexes with soil organic nitrogenreducing the nitrogen accessibility to vascularplants (Bending and Read, 1996; Gallet andLebreton, 1995; Wardle et al., 1998b). Therefore,the phenol-regulated accumulation of humus andthe reduction of nitrogen available for plantsinhibit tree seedling establishment and growth ofP. sylvestris (Nilsson and Zackrisson 1992; Zac-krisson et al., 1996), one of the most commonlyoccurring tree species in the European and theAsian boreal forests and one of the most impor-tant species for the forest industry.

In field experiments, activated carbon hasbeen shown to adsorb phenols released by E. her-maphroditum vegetation and to eliminate theinhibitory effects of E. hermaphroditum on treeseedlings establishment and growth (DeLucaet al., 2002; Nilsson, 1994; Thoss et al., 2004;Zackrisson and Nilsson 1992). When added tofield plots, activated carbon also increases humus

nitrogen mineralization and stimulates soil micro-bial activity (Zackrisson et al., 1996). After a for-est fire, up to 2000 kg ha)1 of wood charcoal isproduced (Zackrisson et al., 1996) and woodcharcoal produced by wild fire has similar prop-erties as commercially manufactured activatedcarbon (Bansal et al., 1988; Chereminisoff andEllerbusch, 1978). Fire-produced charcoal is thusable to adsorb phenolic compounds released byericoid plants (Zackrisson et al., 1996). However,the possible differential phenolic adsorptioncapacities of charcoal produced by differentwoody species have not been investigated beforewhereas the wood anatomy varies between spe-cies (e.g., Hellberg and Carcaillet, 2003; Schwe-ingruber, 1990).

The aim of the present study is (1) to deter-mine whether the charcoal from different plantspecies differs in its ability to adsorb allelopathiccompounds produced by E. hermaphroditum and(2) to investigate whether this adsorption can berelated to the wood charcoal anatomy of individ-ual plant species. The ultimate aim of this studyis to contribute to a better understanding of thefunctional role of fire-produced charcoal in theboreal forest ecosystem.

Materials and methods

Plant species and production of charcoal

Twigs of eight plant species abundant in thenorth European boreal forest were collected closeto Umea, northern Sweden (63�49¢N; 20�18¢E).The species consisted of five angiosperms (Betulapubescens Ehrh., Empetrum hermaphroditum Hag-erup, Ledum palustre L., Populus tremula L. andVaccinium myrtillus L.) and three gymnosperms(Juniperus communis L., Picea abies (L.) H. Karstand Pinus sylvestris L.). In addition, twigs ofUlmus minor Mill. were collected in southernFrance (42�26¢N; 3�10¢E). Ulmus minor has beenselected for its very large vessels (Jacquiot et al.,1973) and therefore provides a better possibilityto test the effects of vessels size on the adsorptioncapacity of charcoal.

Twigs of 3–4 mm in diameter from each spe-cies were cut into segments of approximately30 mm of length and were then left to dry atroom temperature for 1 month. Charcoal was

292

Page 533: Agricultural Applications for Pine-Based BioChar

produced in a ‘‘muffle furnace’’ (Nabertherm,L9/S27) according to the following protocol:wood fragments of each species were put in aniron pan. Wood fragments from one species wereseparated from the others by vertically insertinga glass slide into the pan. The position of woodsamples was randomized in the pan and sampleswere covered with sand to reduce the exposure tooxygen during the burning process. This proce-dure facilitates production of charcoal andavoids total combustion of organic material andproduction of ashes. The pan was put in the muf-fle furnace for 35 min to reach 450 �C and thenfor an additional 15 min at 450 �C after whichthe charcoal samples were removed from themuffle furnace. The selected temperature mimicsthe temperature at the ground surface duringwildfire (Chandler et al., 1983; Wiedemann et al.,1988). Then, charcoal samples were sieved toretain material of 0.8–1.6 mm in size that corre-sponds to the main size of soil charcoal (Carcail-let and Talon, 2001). The burning procedure wasreplicated three times for each species.

Adsorption of allelopathic compounds

The ability of charcoal to adsorb phenolic com-pounds from an aqueous solution produced fromgreen leaves of E. hermaphroditum was deter-mined by the use of a bioassay method followingZackrisson and Nilsson (1992). In short, thismethod involved collecting green leaves of E. her-maphroditum (At Rovagern, N. Sweden, 63�50¢N;20�15¢E), which were allowed to air-dry for 2weeks. Deionized water was added to 50 g of dryleaves per litre and the solution was agitated dur-ing 48 h on a rotary shaker, and producing inthis way a 5% weight/volume water extract. Thissolution was then filtered through a MunktellNo. 3 filter paper and diluted with deionizedwater to produce a 2% solution E. hermaphrodi-tum extract. This extract had a total inhibitoryeffect on seed germination of Populus tremulaseeds (see below). For each species of charcoal,0.4 g of charcoal fragments were added to 20 mLof the 2% solution E. hermaphroditum andplaced on a rotary shaker for 12 h. Charcoalfragments were then removed from the solutionby filtration through a filter paper (MunktellNo. 3) and 2 mL of the remaining solution wasadded to each of five Petri dishes (50 mm in

diameter). This latter procedure is reiterated forthe three replicates of burning. To each dish,25 P. tremula seeds (99.6% viability, storedat )18 �C) are added on a Munktell No. 3 filterpaper. The inhibitory effect of the solution onP. tremula seeds was monitored and the numberof germinated seeds was used as a measure ofcharcoal adsorption capacity (Zackrisson et al.,1996). To verify whether the charcoal itself mightinfluence on P. tremula germination, five disheswere set up with 2 mL of deionized water thatwas soaked with 0.4 g of charcoal for 12 h; thisexperiment is performed for all species. The Petridishes is placed in a climate chamber at 20 �Cduring 20 h per day of artificial illumination. Thetotal seed germination in each dish was recordedafter 7 days.

Charcoal porosity: estimation and size of pores

In this study, pores were defined as all longitudi-nal cells that represent more than 95% of thetotal wood composition in the selected species,i.e. the vessels, the fibres and the parenchyma inangiosperms and most of the tracheids in gymno-sperms (Figure 1). The porosity of charcoal isdefined as a ratio between the total volume of allpores and the total volume of wood. A transver-sal section of each fragment of charcoal was usedto estimate the charcoal porosity. The total areacovered by pores was measured within an obser-vation surface of 5250–5500 lm2. The ratiobetween the total area of all pores and the obser-vation surface is performed for each species ofcharcoal to obtain a two-dimensional measure-ment of porosity called ‘transversal porosity’.This ratio serves to investigate whether theadsorption capacity of charcoal is related to theporosity of charcoal. A high value of this ratiocorresponds to a high charcoal porosity and con-versely, a low value to a low charcoal porosity.The charcoal porosity was measured on 10 trans-versal sections for each species of charcoal.The final ratio is thus based on the average ofthe 10 measurements by species of charcoal. Allmeasurements were performed under an episcop-ic-analysing microscope (magnification: ·500).Values of surface were obtained with the imageanalysing software ‘OPTIMAS 5.2’. The porearea from each observation surface was used totest whether the pores size might be related to

293

Page 534: Agricultural Applications for Pine-Based BioChar

the adsorption capacity. The pores are classifiedaccording to the size of their area into micro-pores (<50 lm2), meso-pores (from 50 to250 lm2) and macro-pores (>250 lm2). Thisclassification is based on the frequency of poresarea per species (Figure 2). A ratio betweenthe total area occupied by each class of poresand the transversal porosity was calculated.The transversal porosity is thus defined as thesum of three areas i.e. micro-, meso- and macro-pores. Only charcoal produced from wood ofericoıd plants (E. hermaphroditum, L. palustreand V. myrtillus) and broad-leaved deciduoustrees (B. pubescens, P. tremula and U. minor)were selected because conifers (gymnosperms) aremostly composed of tracheids that do not showsuch a distinction between micro-, meso- andmacro-pores.

Statistical analysis of data

Homogeneity of variances (Levene test) of datawas tested in accordance with the assumptions of

ANOVA. Firstly, data relative to adsorptioncapacity of charcoal (Figure 3) was arsine squareroot transformed prior to analysis. ANOVA wereperformed to determine whether the adsorptioncapacity of different species of charcoal was sig-nificantly different from each other. Significantdifferences between species (P � 0.05) were log10transformed and further analyzed by LSD test(least significant difference). Secondly, ANOVAused to determine whether the transversal poros-ity of each species of charcoal was significantlydifferent between species of charcoal (Figure 4).Significant differences (P � 0.05) between speciesare analyzed by Tukey test (honestly significantdifference). All statistics are computed with thestatistical package ‘SPSS 10.0’.

Results

The ability of charcoal to adsorb allelopathic com-pounds in E. hermaphroditum leaf water extractdiffers significantly (ANOVA: F8.18 ¼ 9.633;

Figure 1. Scanning electronic microscope (SEM) pictures of transversal sections of wood charcoal. All pictures are at the samescale and magnification (·200). The top three pictures (ericoids) show small diameter vessels and fibres. Betula pubescens and Popu-lus tremula have larger but less abundant vessels. Elm (Ulmus minor) has little but very large vessels. The porosity of the three gym-nosperms (Juniperus communis, Picea abies and Pinus sylvestris) is mostly composed of tracheids with thin wall in the early woodand thick wall in the late wood.

294

Page 535: Agricultural Applications for Pine-Based BioChar

P � 0.001) between species (Figure 3). With theexception of Juniperus communis, the adsorptionof allelopathic compounds by charcoal producedfrom broad-leaved deciduous trees (B. pubescens,P. tremula and U. minor) are higher than theadsorption by charcoal from ericoid species(E. hermaphroditum, L. palustre and V. myrtillus)and conifers (P. abies and P. sylvestris) (Figure 3).Charcoal produced from U. minor wood shows the

highest adsorbing capacity amongst the testedplant species, i.e. about three times higher thanP. tremula and about 15 times higher than P. syl-vestris. Juniperus communis adsorbs allelopathiccompounds in the same range as B. pubescens andP. tremula. The overall lowest adsorption capaci-ties are found for charcoal produced from V. myrt-illus and P. sylvestris (<5% of germinatedP. tremula seeds). Adsorption capacity of charcoal

500 1500 2500 35000 50 100 150 200 250 300 350 4000

20

40

60

80

100

PopulusBetulaLedumVacciniumEmpetrumUlmus

Fre

qu

ency

of

po

res

Transversal pore area (µm2)

Micro-pores

Meso-pores Macro-

pores

Figure 2. Frequency of pores per area of wood charcoal of different plant species.

0.0

10.0

20.0

30.0

40.0

50.0

60.0

70.0

80.0

90.0

100.0

U. min

or

P. tre

mula

B. pubes

cens

E. her

map

hroditu

m

L. palu

stre

V. myr

tillu

s

J. co

mm

unis

P. abies

P. sylv

estri

s

B

BC

D D

A

CD

BC

CDD

Ad

sorp

tio

n c

apac

ity

of

char

coal

(%

)

Figure 3. Adsorption capacity of charcoal from different plant species measured as the mean (±SE) number of germinated Populustremula seeds. The shaded bars correspond to angiosperm and open bars to gymnosperms. Data are expressed as the percentage ofseeds germinated in deionised water (control). Bars topped with different letters are significantly different from each other at P � 0.05(LSD test following ANOVA).

295

Page 536: Agricultural Applications for Pine-Based BioChar

produced from J. communis, B. pubescens, P. abiesand E. hermaphroditum are not significantly differ-ent from each other at P � 0.05 (Figure 3).

The overall transversal porosity variesbetween 47 and 67% among the species (Fig-ure 4). The highest transversal porosity is foundfor P. abies and the lowest for P. sylvestris. Thevalues are significantly different from each otherat P � 0.05 (ANOVA: F8.81 ¼ 7.986; P � 0.001).The transversal porosity for P. sylvestris is signif-icantly lower than the transversal porosity(<55%) of the other species (Figure 4). Thetransversal porosity of U. minor is also relativelylow, but is only significantly different fromV. myrtillus, E. hermaphroditum and P. sylvestris.When transversal porosity is tested against theadsorption capacity of charcoal, no correlationbetween the two is evidenced (Figure 5).

The frequency of pores per transversal poreareas displays three classes of pores that differbetween species (Figure 2). For the broad-leaveddeciduous trees, the surface corresponding to thesum of macro-pores represents more than 50%of the transversal porosity (i.e. U. minor andP. tremula) and almost 40% for B. pubescens(Figure 6). The species with the largest relativeamount of macro-pores are also the species withhighest adsorption capacity (Figure 3). Macro-pores are almost non-existent in L. palustre,which is mainly constituted of meso-pores

representing more than 75% of the transversalporosity (Figure 6). For E. hermaphroditum andV. myrtillus, species with relatively low adsorp-tion capacity, the surface of the sum ofmeso-pores ranges between 40 and 50% of thetransversal porosity. The percentage of micro-pores does not differ between species and rangesbetween 20 and 40% (Figure 6). Examples oftransversal wood pattern of selected species aredisplayed in Figure 1.

Discussion

The results of the present study show that char-coal of different plant species has differing capac-ity to adsorb phenolic compounds released byE. hermaphroditum. The adsorption capacity ofcharcoal from U. minor, deliberately selected forits large pores (vessels), is about double than allother species (Figure 3). Amongst the angio-sperms, the adsorption capacity is higher forcharcoal produced from broad-leaved deciduoustrees than charcoal from ericoid species. MostEricaceous species are characterized by smallpores diameter, whereas broad-leaved trees havelarger pores diameter (Figure 1). The adsorptioncapacity of gymnosperm charcoal differs signifi-cantly among the selected species. We expected,however wrongly, the total surface of adsorption

0.0

10.0

20.0

30.0

40.0

50.0

60.0

70.0

80.0

B AC ACDBCD BCD

BD

A

BCD

B

Tra

nsv

ersa

l po

rosi

ty (

%)

U. min

or

P. tre

mula

B. pubes

cens

E. her

map

hroditu

m

L. palu

stre

V. myr

tillu

s

J. co

mm

unis

P. abies

P. sylv

estri

s

Figure 4. Mean (±SE) of transversal porosity of charcoal from different plant species expressed as percent of the relative total areaof pores in the wood. Shaded bars correspond to angiosperms and open bars to gymnosperms. Bars topped with different lettersare significantly different from each other at P � 0.05 (Tukey’s HSD test following ANOVA).

296

Page 537: Agricultural Applications for Pine-Based BioChar

to be higher for those charcoal containing smalldiameter pores than those charcoal having largediameter pores. This is because the relativeporosity could have been lower when there wasa higher abundance of cell wall material. How-ever, although different species differ in adsorp-tion capacity (presumably due to wood anatomical differences), transversal porosity of the wooddoes not emerge as a driver of differences inadsorptive capacities among species because theprocess seems more complex and involves otherfactors such as pore size distribution. If the totalporosity was a significant factor explaining theadsorption, we should expect charcoal of P.abies which had the largest transversal (Figure 4)to also have the largest adsorption capacity (Fig-ure 3), whereas this is not the case (Figure 5).Furthermore, the transversal porosity of P. abiesand of P. tremula are not significantly differentfrom each other (Figure 4), while the adsorptioncapacity is significantly different (Figure 3).

The pore size distribution for each charcoalspecies shows that the surface represented by

macro-pores is generally higher for broad-leaveddeciduous trees than for ericoid species wheremacro-pores can be almost non-existent like inL. palustre (Figure 6). Charcoal species with ahigh density of macro-pores are also those withthe highest adsorption capacity, e.g., U. minor,B. pub- escens and P. tremula (Figure 3 and 6).This observation suggests that a high adsorptioncapacity is linked with the total volume of macro-pores. This result is strengthened by the observa-tions of Chereminisoff and Ellerbusch (1978)showing that adsorption capacities of charcoalwere the results of both chemical and physicalproperties. Macro-pores may have a lower surfacetension than meso- and micro-pores, which shouldin turn facilitate the penetration of water and dis-solved compounds within charcoal.

Among the gymnosperms, J. communis andP. abies have a higher total porosity than P. syl-vestris (Figure 4). SEM pictures (Figure 1) andliterature on wood anatomy (Schweingruber,1990) show that Pinus is generally characterizedby thick late wood relatively to the thickness of

y = -0.7577x + 63.9

R2 = 0.0443

0.0

10.0

20.0

30.0

40.0

50.0

60.0

70.0

80.0

90.0

40 45 50 55 60 65 70

Ad

sorp

tio

n c

apac

ity

of

char

coal

(%

)

Transversal porosity (%)

U. m

P. t

B. p

J. c

E. h

P. sL. p

V .m

P. a

Figure 5. Adsorption capacity and transversal porosity of charcoal from different plant species. U. m: Ulmus minor; P. t: Populustremula; B. p: Betula pubescens; E. h: Empetrum hermaphroditum; L. p: Ledum palustre; V. m: Vaccinium myrtillus; J. c: Juniperuscommunis; P. a: Picea abies; P. s: Pinus sylvestris.

297

Page 538: Agricultural Applications for Pine-Based BioChar

early wood, whereas Juniperus and Piceagenerally have a narrow late wood. Although thediameter of conifer tracheids is relatively inde-pendent of the position within the tree ring, thewall thickness varies significantly which influ-ences the volume of the porosity. Our data indi-cate that species with a high proportion of latewood material in their tree-rings appear to belinked to a lower adsorption capacity.

The differences in adsorption capacitybetween all species tested might also be influ-enced by the presence of wood tar. Tar isproduced during the burning process and couldblock the pores reducing the adsorption capac-ity of charcoal (www.fao.org/docrep/X5328f/x5328f00.htm#Contents) but also modify thechemical properties of the charred surface. How-ever, it is also likely that the different tree speciesdo not produce the same amount of tar duringthe burning process, which also could explainwhy the adsorption capacity is not linked toporosity. The presence of resins within coniferstrees might also influence the adsorption capacityof the charcoal produced, by modifying the inter-nal chemical structure of the pores. One of thelimitations of the present study relates to the twodimensional estimation of the porosity that weused. The adsorption by charcoal could be influ-

enced by other physical properties such as thelength of the pores (i.e. mostly length of vesselsfor angiosperms and length of tracheids for gym-nosperms), the density and the diameter of pitorifices and the shape of the perforations thatcontrol the penetration of phenolic compoundsinto charred cells.

To conclude, the present study supports previ-ous work showing that fire-produced charcoal isable to regulate soil phenolic compounds releasedby E. hermaphroditum in the European borealforests (Pietikainen et al., 2000; Wardle et al.,1998b; Zackrisson et al., 1996). Obviously, thesimple volumetric process of adsorption occursduring the first days, but we stress the need tounderstand the mechanism and kinetics of thephysico-chemical process of adsorption. Theidentity of the plant producing the charcoal canbe important for determining the adsorptioncapacity. Therefore, it is expected that variationsin seed germination and success of establishingnew trees seedlings are dependent on differencesin charcoal properties. It is likely that the regen-eration of trees is less important after a fire inareas dominated by ericoid species associatedwith conifers than in areas dominated by broad-leaved deciduous tree species notably those withlarge and abundant vessels, e.g., Ulmus, Quercus,

0.0

10.0

20.0

30.0

40.0

50.0

60.0

70.0

80.0

90.0

100.0

Micro-pores

Meso-pores

Macro-poresP

ore

siz

e d

istr

ibu

tio

n (

%)

U. min

or

P. tre

mula

B. pubes

cens

E. her

map

hroditu

m

L. palu

stre

V. myr

tillu

s

Figure 6. Pore size distribution in charcoal of six angiosperm species. Micro- ( lm2), meso- (50–250 lm2) and macro-porosity(>250 lm2) are expressed as percentage of the total number of transversal pores of each species.

298

Page 539: Agricultural Applications for Pine-Based BioChar

Fraxinus, Castanea in temperate forests and,Salix, Populus, Betula and Sorbus in borealforests. The present study highlights the need forconservation of broad-leaved deciduous trees inboreal forests.

Acknowledgements

This research was funded through a EuropeanUnion scholarship to Olivier Keech and theFrench Centre National de la Recherche Scientif-ique (CNRS) to Christopher Carcaillet.

References

Bansal R C, Donnet J B and Stoeckli F 1988 Active carbon.Marcel Dekker Inc., New York, NY. 482 pp.

Bending G D and Read D J 1996 Nitrogen mobilization fromprotein-polyphenol complex by ericoid and ectomycorrhizalfungi. Soil Biol. Biochem. 28, 1603–1612.

Carcaillet C and Talon B 2001 Soil carbon sequestration byHolocene fires inferred from soil charcoal in the dryFrench Alps. Arct. Antarct. Alp. Res. 33, 282–288.

Chandler C, Cheney P, Thomas P, Trabaud L and WilliamsD 1983 Fire in Forestry. Vol 1. John Wiley and Sons, NewYork, NY. 450 pp.

Cheremisinoff P N and Ellerbusch F 1978 Carbon adsorptionhandbook. Ann Arbor Science, Ann Arbor, MI. 1054 pp.

DeLuca T H, Nilsson M C and Zackrisson O 2002 Nitrogenmineralization and phenol accumulation along a fire chro-nosequence in northern Sweden. Oecologia 133, 206–214.

Engelmark O 1984 Forest fires in the Muddus National Park(northern Sweden) during the past 600 years. Can. J. Bot.62, 893–898.

Engelmark O 1999 Boreal forest disturbances in Ecosystem ofthe World. In Ecosystems of disturbed world. Vol 16. Ed.Walker R. pp. 161–186. Elsevier Science BV, Amsterdam.

Fisher R F 1987 Allelopathy: a potential cause of forestregeneration failure. In Role in Agriculture and Forestry.Ed. Waller GR. Allelochemicals: pp. 176–184. ACS Sym-posium Series 330, Washington, DC.

Gallet C and Lebreton P 1995 Evolution of phenolic patternsin plants and associated litters and humus of a forest eco-system. Soil Biol. Biochem. 27, 157–165.

Haapasaari M 1988 The oligotrophic heath vegetation ofnorthern Fennoscandia and its zonation. Acta. Bot. Fenn.135, 1–219.

Hellberg E and Carcaillet C 2003 Wood anatomy of WestEuropean Betula: quantitative descriptions and applica-tions for routine identification in paleoecological studies.Ecoscience 10, 370–379.

Hellberg E, Niklasson M and Granstrom A 2004 Influenceof landscape structure on patterns of forest fires in bor-eal forest landscapes in Sweden. Can. J. Forest Res. 34,332–338.

Jacquiot C, Trenard Y and Dirol D 1973 Atlas d’anatomiedes bois des Angiospermes (Essences feuillues). Centretechnique du bois, Paris. 175 pp.

Johnson E A 1992 Fire and vegetation dynamics: studies fromthe North American boreal forest. University Press, Cam-bridge. 129 pp.

Keeley J E, Morton B A, Pedrosa A and Trotter P 1985 Roleof allelopathy, heat and charred wood in the germinationof chapparal herbs and suffrutescents. J. Ecol. 73, 445–458.

Lehtonen H and Huttunen P 1997 History of forest fires ineastern Finland from the fifteenth century AD – the possi-ble effects of slash-and-burn cultivation. Holocene 7, 223–228.

Li J and Romane F 1997 Effects of germination inhibition onthe dynamics of Quercus ilex stands. J. Veg. Sci. 8, 287–294.

Niklasson M and Granstrom A 2000 Numbers and sizes offires: long-term spatially explicit fire history in a Swedishboreal landscape. Ecology 81, 1484–1499.

Nilsson M C 1994 Separation of Allelopathy and ResourceCompetition by the Boreal Dwarf Shrub Empetrum her-maphroditum Hagerup. Oecologia 98, 1–7.

Nilsson M C, Gallet C and Wallstedt A 1998 Temporal vari-ability of phenolics and batatasin-III in Empetrum hermaph-roditum leaves over an eight-year period: interpretations ofecological function. Oikos 81, 6–16.

Nilsson M C, Hogberg P, Zackrisson O and Fengyou W 1993Allelopathic effects of Empetrum hermaphroditum on devel-opment and nitrogen uptake by roots and mycorrhizae ofPinus sylvestris. Can. J. Bot. 71, 620–628.

Nilsson M C and Zackrisson O 1992 Inhibition of Scots pineseedling establishment by Empetrum hermaphroditum.J. Chem. Ecol. 18, 1857–1869.

Oden P C, Brandtberg P O, Andersson R, Gref R, ZackrissonO and Nilsson M C 1992 Isolation and characterization ofa germination inhibitor from leaves of Empetrum hermaph-roditum Hagerup. Scan. J. Forest Res. 7, 497–502.

Payette S 1992 Fire as a controlling process in the NorthAmerican boreal forest. In A systems analysis of the globalboreal forest. Eds. Shugart HH, Leemans R, Bonan GB.pp. 144–169. Cambridge University Press, Cambridge.

Pellissier F 1993 Allelopathic inhibition of spruce germina-tion. Acta. Oecol. 14, 211–218.

Pietikainen J, Kiikkila O and Fritze H 2000 Charcoal as ahabitat for microbes and its effect on the microbial com-munity of the underlying humus. Oikos 89, 231–242.

Rice E L 1979 Allelopathy, an update. Bot. Rev. 45, 15–109.Richardson D R and Williamsom G B 1988 Allelopathic

effects of shrubs of the sand pine scrub on pine and grassesof the sandhills. Forest Sci. 34, 592–605.

Schweingruber F H 1990 Anatomie europaischer Holzer.–Ana-tomy of European woods. Eidgenossische Forschungsanstaltfur Wald, Schnee und Landschaft, Birmensdorf (Hrsg.). Ver-lag Paul Haupt, Bern. 800 pp.

Steijlen I and Zackrisson O 1987 Long-term regenerationdynamics and successional trends in a northern Swedishconiferous forest stand. Can. J. Bot. 65, 839–898.

Thoss V, Shevtsova A and Nilsson M C 2004 Environmentalmanipulation treatment effects on the reactivity of water-soluble phenolics in a subalpine tundra ecosystem. PlantSoil 259, 355–365.

Waller G R 1987 Allelochemicals. Role in agriculture and for-estry. ACS. Symp. Ser. 330. 606 pp.

Wallstedt A, Sommarin M, Nilsson M C, Munson A D andMargolis H A 2001 The inhibition of ammonium uptake inexcised birch (Betula pubescens) roots by batatasin-III.Physiol. Plant. 113, 368–376.

299

Page 540: Agricultural Applications for Pine-Based BioChar

Wardle D A, Nilsson M C, Gallet C and Zackrisson O 1998aAn ecosystem-level perspective of allelopathy. Biol. Rev.73, 305–319.

Wardle D A, Zackrisson O and Nilsson M C 1998b The char-coal effect in Boreal forests: mechanisms and ecologicalconsequences. Oecologia 115, 419–426.

Wiedemann H G, Riesen R, Boller A and Bayer G 1988From wood to coal: a compositional thermogravimetricanalysis. In Compositional Analysis by Thermogravimetry.Ed. Ernest C M. pp. 227–244. American Society for Test-ing and Materials, New York, NY.

Zackrisson O 1977 Influence of forest fires on the north Swed-ish boreal forest. Oikos 29, 22–32.

Zackrisson O and Nilsson M C 1992 Allelopathic effectsby Empetrum hermaphroditum on seed germination oftwo boreal tree species. Can. J. Forest Res. 22, 1310–1319.

Zackrisson O Nilsson M C and Wardle D A 1996 Key eco-logical function of charcoal from wildfire in the Boreal for-est. Oikos 77, 10–19.

Section editor: H. Lambers

300

Page 541: Agricultural Applications for Pine-Based BioChar
Page 542: Agricultural Applications for Pine-Based BioChar

Fire-Derived Charcoal Causes Loss ofForest HumusDavid A. Wardle,* Marie-Charlotte Nilsson, Olle Zackrisson

Boreal forests serve as important globalsources or sinks of carbon (C), and wild-fire is a major driver of C storage in these

forests. Although fire releases CO2 to the atmo-sphere, it also converts plant biomass into formsof black carbon, such as charcoal, that are resist-ant to microbial attack and persist in the soil forthousands of years (1). It has frequently beensuggested that, because of its resistance, black Ccan serve as an important long-term C sink thatmay help offset the release of human-inducedCO2 to the atmosphere (2, 3). However, charcoalis not biologically inert and can have importanteffects on soil biological processes (4, 5). Theinfluence of charcoal on the decomposition of na-tive soil organic matter remains poorly understood.

We conducted a simple experiment in eachof three contrasting boreal forest sites in northernSweden (6). Mesh bags were filled with purehumus collected from the forest, pure charcoalcreated in the laboratory, or a 50:50 mixture ofhumus plus charcoal (6). These bags were left inthe field and harvested over 10 years. This ap-proach is conceptually identical to that used forthe litter-mix studies that have greatly advancedour understanding of the consequences of mix-ing different litter types (7). This approach al-lowscomparisonsofobservedvaluesinthemixturewith what would be expected on the basis of eachof the components of the mixture consideredseparately.

We found that, over the 10-year period, lossof mass and C from the bags containing mixturesof charcoal and humus was substantially greaterthan what was expected on the basis of the com-ponents considered separately [Fig. 1, Mix (obs)

versus Mix (exp)]. Further, nitrogen immobi-lization was less than expected in the mixturebags (Fig. 1). For these measurements, substratemixing effects [i.e., values for (observed – expected)/expected] never differed significantly across thethree sites [P value always greater than 0.20according to analysis of variance (ANOVA)]. Thisresult is despite the sites differing in both standhistory and soil fertility (6) and points to similareffects of charcoal across contrasting sites. Giventhat charcoal decomposition rates in soil are ex-tremely slow (2, 8) and that in our study systemcharcoal persists for thousands of years in thehumus layer without evidence of mass loss (4),most of the enhanced loss of mass and C causedbymixing charcoal and humusmust have resultedfrom charcoal promoting humus loss rather thanhumus promoting charcoal loss.

Substrate (i.e., glucose)-induced respiration(SIR), a relative measure of active microbial bio-mass (6), was always significantly greater in themixture bags than the value predicted on the ba-sis of the charcoal and humus components con-sidered separately [Fig. 1, Mix (obs) versus Mix(exp)]. These results are consistent with charcoalparticles serving as foci for adsorption of organ-ic compounds and microbial growth and activity(4, 5), leading to enhanced decomposition ratesand mass loss of associated humus. The en-hanced microbial activity in the mixture bags mayhave led to greater mass and C loss through eithergreater respiration or greater leaching of solublecompounds (9).

Previous short-term laboratory studies haveshown that charred plant material causes accel-erated breakdown of simple carbohydrates (10).

Our results extend these findings by indicatingthat charcoal can promote rapid loss of foresthumus and belowground C during the first dec-ade after its formation. Fire often causes sub-stantial losses of ecosystem C, and our resultsprovide evidence for a previously unreportedmech-anism that could contribute to these losses. Ourresults are specific to boreal forests and to the typeof charcoal that we used, and further work isneeded to determine the importance of this mech-anism in other biomes and for other types ofcharcoal (11). Although several studies haverecognized the potential of black C for enhancingecosystem C sequestration (2, 3), our resultsshow that these effects can be partially offset byits capacity to stimulate loss of native soil C, atleast for boreal forests. The effect of charcoal onnative soil C needs to be explicitly considered tobetter understand the potential of black C as anecosystem C sink and agent of C sequestration.

References and Notes1. J. W. Harden et al.,Global Change Biol. 6 (suppl.), 174 (2000).2. M. W. Schmidt, A. C. Nowak, Global Biogeochem. Cycles

14, 777 (2000).3. J. Lehmann, Nature 447, 143 (2007).4. O. Zackrisson, M.-C. Nilsson, D. A. Wardle, Oikos 77, 10

(1996).5. J. Pietikäinen, O. Kikkila, H. Fritze, Oikos 89, 231 (2000).6. Materials and methods are available on Science Online.7. B. Gartner, Z. G. Cardon, Oikos 104, 230 (2004).8. C. M. Preston, M. W. Schmidt, Biogeoscience 3, 397 (2006).9. J. C. Neff, D. U. Hooper, Global Change Biol. 8, 872 (2002).

10. U. Hamer, B. Marschner, S. Brodowski, Org. Geochem.35, 823 (2004).

11. K. Hammes et al., Global Biogeochem. Cycles 21, GB3016(2007).

12. We thank A. Sundberg, K. Boot, G. Rattray, andA. Mahomoud for technical assistance and T. Fukami,M. Gundale, and anonymous reviewers for helpfulcomments.

Supporting Online Materialwww.sciencemag.org/cgi/content/full/320/5876/629/DC1Materials and Methods

8 January 2008; accepted 3 March 200810.1126/science.1154960

BREVIA

Department of Forest Ecology and Management, SwedishUniversity of Agricultural Sciences, SE901-83 Umeå, Sweden.

*To whom correspondence should be addressed. E-mail:[email protected]

Fig. 1. Changes in litterbag properties over a 10-year period. Humus, Charcoal,andMix (obs) correspond to litterbags containing pure humus, pure charcoal, anda 50:50 mixture of charcoal and humus, respectively. Mix (exp) corresponds toexpected values for litterbags containing 50:50mixtures of charcoal and humus ifno interactive effects between the components occur (6). Each data point is the

average of all three sites with 11 replicates per site, and vertical bars are meanwithin-site standard error. For all measurements at all dates and sites, values forMix (exp) and Mix (obs) differ significantly at P = 0.01 (paired t tests). (A) Totalmass loss. (B) SIR. (C andD) Loss of C andN from litter bags (per unit initialmass)over 10 years; negative values in (D) reflect net N gain through immobilization.

www.sciencemag.org SCIENCE VOL 320 2 MAY 2008 629

on

May

2, 2

008

ww

w.s

cien

cem

ag.o

rgD

ownl

oade

d fr

om