m van noordwijk, b lusiana and q m ketterings wanulcas was developed (using stella) to represent...

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Microbial biomass P P sorption sitesoccupied by organics P sorption sites m odified by pH Sorption constant dependson pH & P_mobile Pi in soil solution P inputs in ash P m inera- lization from P_org P volati- lization P inorganic in mobile pool H H H H A A, H A Currently ef- fective sites H = heat effect A = ash effect M any typesofcrops, shrubs, trees, w eeds, in m any form sofspatial and tem poralpattern (strategic m anagem ent) W ide range ofsoils, slopes& clim ates Plantgrow th lim itations by light, w ater, N , P & pests Tactical m anagem ent by pruning, fertilizer, burning Yields of harvestable products & profitability V ertical and lateral flows of water, N&P, & soil C stocks Sustainability indicators M odel specifications/ inputcategories Output categories desired M VAN NOORDWIJK, B LUSIANA and Q M KETTERINGS WaNuLCAS was developed (using Stella) to represent tree-soil-crop interactions in a wide range of agroforestry systems where trees and crops overlap in space and/or time (simultaneous and sequential agroforestry). The model is based on above and below ground architecture of tree and crop, elementary tree and crop physiology and soil science (daily water, N, P and SOM balance for 4 soil layers and 4 horizontal zones). The model can provide a coherent way of evaluating sustainability indicators, C stocks and profitability for a range of land use systems, considered as 'alternatives to slash and burn'. A new module describes the effects of slash-and-burn land clearing on soil C, N and P transformations. References : Van Noordwijk, M. and Lusiana, B., 1999 WaNuLCAS, a model of water, nutrient and light capture in agroforestry systems. Agroforestry Systems 43: 217-242 For info on the WaNuLCAS model of water, nutrient and light capture in agroforestry system, please check: http://www.icsea.or.id/wanulcas / For the 'crop down, fallow up' or CDFU model of fallow rotations at landscape scale: http://www.icsea.or.id/models/cdfu.htm . Meine van Noordwijk, +62-251-625415, [email protected] The model specification emphasis as flexibility and versatility As the model will be used in ‘data scarce’ domains, linkage to existing data bases is crucially important Representation of slash-and-burn events in WaNulcas A number of 'Slash' events can be defined in the event calendar. Slash events transfer all current aboveground biomass in tree, weed or crop pools to the S&B_Necromass pool. From the S&B_Necromass a fraction can be transferred daily to the surface litter pool, where it will follow century-model based transformations of C, N and P pools. When the necromass has no intercepted water from rainfall the switch 'S&B_IsSlashDry?' will be turned on, allowing burn events to take place. Burn events are defined by specifying a minimum number of days after the most recent 'slash' event. A fire event will be implemented on the first day in this period that the signal 'S&B_IsSlashDry?' is on. During a burn event, the temperature increase at the soil surface is calculated from the necromass + structural part of surface litter, with corrections for their respective moisture contents. The temperature increase in the topsoil is derived from the temperature increase at the soil surface, modified by soil water content of the topsoil. Burn events can have impacts on a number of pools in the model, either via the temperature at the soil surface or that in the top soil: reduction of surface necromass, surface litter and SOM pools, allocating all C of the burnt necromass to CO2, and 1 - S&B_NutVolatFrac of its N and P content to mineral nutrients at the soil surface, induce a (one-off) transfer from the immobile P fraction in the topsoil induce a semi-permanent relative change of the effective P sorption with a gradual return to the original P sorption value, release cations into the topsoil from burnt necromass, leading to an increase of topsoil pH; this change of pH will modify the P sorption properties as well, with the overall effect obtained by multiplying the two factors, evaporate all soil water from the topsoil if the temperature exceeds 100 o C modify soil water retention properties with a gradual return to the original values induce tree mortality if the temperature exceeds the temperature tolerance. Netpresentvalue, returnsto labour Concern Global W atershed functions Sustainability Profitability C stocks, GH G flux Filtereffects on H 2O and soilflow s SO M , nutrient balance, weediness Indicators L and use system: treecropsin agroforestry arrangements contourhedge- row system s crop-fallow rotations (incl.S& B events) R esults for testruns ofthe Slash& B urn sector ofthe m odelshow thatdifferent fuelload in differentzones can lead to different effects on soilpH and contrasting netim pacts on P sorption Further param eterization ofthe m odelis obviously needed TSBF/W ye litterQ database Pricesfor inputs& outputs Fire im pacts W ide range ofsoils, slopes& climates Plantgrow th lim itationsby light, w ater, N , P & pests. Tactical m anagem ent by pruning, fertilizer, burning Tree architecture => allom etric eqn Crop PotProd models Soilwater balance m odel SoilC, N & P balance models P sorption database Pedo-Transfer Functions Fractal Branching database G lobal climate database Labourreq. peroperation Erosion & sedimentation models A bove-& below- ground resource capture & sharing M any typesofcrops, shrubs, trees, w eeds, in m any form sofspatialand tem poralpattern (strategic m anagem ent) PlantGrow range check Rootdistr. & turnover Pests e.g. maize, cassava or a weed (Imperata) A C rop or fruit trees or woody fallows e.g. hedge- row trees A Tree N itrogen Water Light shoot biom ass LAI PAR H O 2 N } N capture T ranspiration Photosynthesis root biom ass RAI Above- ground inter- action Below- ground inter- action WaNuLCAS concepts of zones and layers Sector map

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Page 1: M VAN NOORDWIJK, B LUSIANA and Q M KETTERINGS WaNuLCAS was developed (using Stella) to represent tree-soil-crop interactions in a wide range of agroforestry

Microbialbiomass P

P sorptionsites occupiedby organics

P sorption sitesmodified by pH

Sorption constantdepends on pH &P_mobile

Pi in soil solution

P inputsin ash

P minera-lizationfrom P_org

P volati-lization

P inorganic in mobile pool

H

H

H

H

A

A,H

A

Currently ef-fective sites

H = heat effect

A = ash effect

Many types of crops,

shrubs, trees, weeds,

in many forms of spatial

and temporal pattern

(strategic management)

Wide range of soils,

slopes & climates

Plant growthlimitationsby light,water,N, P & pests

Tactical managementby pruning,fertilizer,burning Yields of

harvestableproducts &profitability

Vertical and lateral flows of water, N&P,& soil

C stocks

Sustainabilityindicators

Modelspecifications/

input categories

Outputcategories

desired

M VAN NOORDWIJK, B LUSIANA and Q M KETTERINGS

WaNuLCAS was developed (using Stella) to represent tree-soil-crop interactions in a wide range of agroforestry systems where trees and crops overlap in space and/or time (simultaneous and sequential agroforestry). The model is based on above and below ground architecture of tree and crop, elementary tree and crop physiology and soil science (daily water, N, P and SOM balance for 4 soil layers and 4 horizontal zones). The model can provide a coherent way of evaluating sustainability indicators, C stocks and profitability for a range of land use systems, considered as 'alternatives to slash and burn'. A new module describes the effects of slash-and-burn land clearing on soil C, N and P transformations.

References :Van Noordwijk, M. and Lusiana, B., 1999 WaNuLCAS, a model of water, nutrient and light capture in agroforestry systems. Agroforestry Systems 43: 217-242

For info on the WaNuLCAS model of water, nutrient and light capture in

agroforestry system, please check: http://www.icsea.or.id/wanulcas/

For the 'crop down, fallow up' or CDFU model of fallow rotations at landscape scale:http://www.icsea.or.id/models/cdfu.htm.

Meine van Noordwijk, +62-251-625415, [email protected]

The model specification emphasis as flexibility and versatility

As the model will be used in ‘data scarce’ domains, linkage to existing data bases is crucially important

Representation of slash-and-burn events in WaNulcas

A number of 'Slash' events can be defined in the event calendar. Slash events transfer all current aboveground biomass in tree, weed or crop pools to the S&B_Necromass pool. From the S&B_Necromass a fraction can be transferred daily to the surface litter pool, where it will follow century-model based transformations of C, N and P pools. When the necromass has no intercepted water from rainfall the switch 'S&B_IsSlashDry?' will be turned on, allowing burn events to take place.

Burn events are defined by specifying a minimum number of days after the most recent 'slash' event. A fire event will be implemented on the first day in this period that the signal 'S&B_IsSlashDry?' is on. During a burn event, the temperature increase at the soil surface is calculated from the necromass + structural part of surface litter, with corrections for their respective moisture contents. The temperature increase in the topsoil is derived from the temperature increase at the soil surface, modified by soil water content of the topsoil. Burn events can have impacts on a number of pools in the model, either via the temperature at the soil surface or that in the top soil:

• reduction of surface necromass, surface litter and SOM pools, • allocating all C of the burnt necromass to CO2, and 1 - S&B_NutVolatFrac of its N and P content to mineral nutrients at the soil surface,• induce a (one-off) transfer from the immobile P fraction in the topsoil• induce a semi-permanent relative change of the effective P sorption with a gradual return to the original P sorption value, • release cations into the topsoil from burnt necromass, leading to an• increase of topsoil pH; this change of pH will modify the P sorption properties as well, with the overall effect obtained by multiplying the two factors,• evaporate all soil water from the topsoil if the temperature exceeds 100oC • modify soil water retention properties with a gradual return to the original values • induce tree mortality if the temperature exceeds the temperature tolerance.

Net present value,returns to labour

Concern GlobalWatershedfunctions

Sustainability Profitability

C stocks,GHG flux

Filter effectson H2O andsoil flows

SOM, nutrientbalance,weediness

IndicatorsLand use system:

tree crops inagroforestryarrangements

contour hedge-row systems

crop-fallowrotations(incl.S&B events)

Results for test runs of theSlash&Burn sector of themodel show that differentfuel load in different zones

can lead to differenteffects on soil pH and

contrasting net impacts onP sorption

Further parameterizationof the model is obviously

needed

TSBF/Wyelitter Q database

Prices for inputs & outputs

Fire impacts

Wide range of soils,slopes & climates

Plant growthlimitations by

light, water, N, P & pests.

Tacticalmanagementby pruning,fertilizer,burning

Tree architecture => allometric eqn

Crop PotProd models

Soil waterbalance model

Soil C, N&Pbalancemodels

P sorptiondata base

Pedo-TransferFunctions

Fractal Branching database

Global climate database

Labour req.per operation

Erosion & sedimentation

models

Above- & below-ground resource capture & sharing

Many types of crops, shrubs, trees, weeds, inmany forms of spatial and temporal pattern(strategic management)

PlantGrowrange check

Root distr. &turnover

Pests

e.g. maize, cassava

or a weed (Imperata)

A Crop

or fruit trees

or woody fallows

e.g. hedge-row trees

A Tree

Nitrogen Water

Light

shootbiomass LAI PAR

H O2

N

}

N captureTranspiration

Photosynthesis

rootbiomass

RAI

Above-groundinter-action

Below-groundinter-action

WaNuLCAS concepts of zones and layers

Sector map