the rain forest canopy reduction effect on no emission from soils * * results shown here are from...
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![Page 1: The Rain Forest Canopy Reduction Effect on NO Emission from Soils * * results shown here are from the "EUropean Studies on Trace Gases and Atmospheric](https://reader036.vdocuments.us/reader036/viewer/2022062421/56649d385503460f94a124d0/html5/thumbnails/1.jpg)
The Rain Forest Canopy Reduction
Effect on NO Emission from Soils*
* results shown here are from the "EUropean Studies on Trace Gases and Atmospheric CHemistry"-project to the "Large-Scale Biosphere-Atmosphere Experiment in Amazonia"
Franz X. Meixner (1), Christof Ammann (2), Udo Rummel (1), Urs Andreas Gut (3), and Meinrat O. Andreae (1)
10th Scientific Conference of the International Association of Meteorology of Atmospheric Sciences (IAMAS) Commission for Atmospheric Chemistry and Global Pollution (CACGP) and 7th Scientific Conference of the International Global Atmospheric Chemistry Project (IGAC)
Creta Maris, Hersonissos, Crete, Greece,18-25 September 2002
(1) Max-Planck-Institut für Chemie, Abteilung Biogeochemie, Postfach 3060, D-55020 Mainz, Germany(2) Eidgenössische Forschungsanstalt für Agrarökologie und Landbau, CH -8046 Zürich, Switzerland
(3) Bundesamt für Energie (BFE), Monbijoustrasse 72, CH-3003 Bern, Switzerland
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background
remote regions
(USA)
urban (USA)
maritime
(Pacific)
tropical rainforest
wet season
ambi
ent m
ixin
g ra
tio (
NO
+N
O2)
in p
pb
VOC as propylene (normalized by reactivity) in ppb
isolines = ozone production rate in ppb/h
Chameides et al., JGR, 97: 6037-6055, 1992.
ABLE campaignsend of the 80's
tropical NOx sources anthropogenic (traffic) biomass burning (deforestation) biogenic emission from soils
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background
(tropical) NO soil emission inventories based on chamber measurements
there are only a few NO, NO2 (NOx, NOy) flux measurements
over tall vegetation (forests) at all
(global) atmospheric chemistry models need reliable NOx
fluxes as a lower boundary condition
mostly a constant or LAI parameterized NOx canopy reduction
factor (CRF) is used (e.g. Yienger & Levy, 1995)
very recently (!) : Ganzeveld et al. (JGR, September 2002) multilayer trace gas exchange sub-model (in a chemistry
general circulation model) to explicitly calculate NOx emissions
from forests
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biogenic NO emssion from soils (Brazil)
Bakwin et al. (1990)Neill et al. (1995, 1997) ?
Bakwin et al. (1990)
1 : 10
FNOx, out = 0.25 FNOsoil
Jacob & Wofsy (1990)
Neill et al. (1999)Verchot et al. (1999)Garcia-Montiel et al. (2001)van Dijk et al. (2002)Gut et al. (2002)Kirkman et al. (2002)
4 -104 -10 ng NO-N mng NO-N m-2-2ss-1-1< 1 ng NO-N m-2s-1
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3NO, NO , O , VOC2
VOC
VOC emissionfrom leaves
NO + O 3 NO2 + O2
NO2 + O2 NO + O 3hv
’RO’2 + NO RO + NO 22
O3
deposition toleaf surface
O3 (and NO )2
NO2
O3
O3 and NO2deposition to
stomata
NO emission from soil
NO
O3
NONO + O 3 NO2 + O2
2NO
NO2
chemistry vs. biology vs. transport
time scales ?
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LBA-EUSTACH, Reserva Biologica Jarú, Rondônia/Brazil
"missing"
fluxes : NO2, NOy
conductanceconductance : NO2
vertical profile (8 levels) NO, NO2, O3, CO2, H2O, VOC, aerosols, Rn ( Kbulk) T, j(NO2), Rnet, glob rad
conductance / emissionconductance / emission O3, CO2, H2O, VOC
emission / deposition soil profile NO, NO2, O3, CO2, Rn
eddy covariance fluxes NO, O3, CO2, H2O, sensible
heat (H), momentum (u*, w)
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F(NO)F(NO)in ng N m-2s-1
eddy covariance(4 days)
range (min - max)dynamic chambers (4)
average (21 days)
-5
0
5
10
15
20
Bereich der Bodenkammern Mittelwert: Bodenkammern Eddy Kovarianz
NO
Flu
ss
(n
g N
m-2
s-1)
11 m11 min-canopyin-canopy
20
15
10
5
0
53 m53 mabove canopyabove canopy
15
10
5
0
1 m1 m"forest floor""forest floor"
00:00 04:00 08:00 12:00 16:00 20:00 24:00
12
8
4
0
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00:00 06:00 12:00 18:00 24:000
10
20
30
40
50
O3 [ppb]he
ight
abo
ve g
roun
d [m
] 36 -- 40 32 -- 36 28 -- 32 24 -- 28 20 -- 24 16 -- 20 12 -- 16 8 -- 12 4 -- 8 0 -- 4
00:00 06:00 12:00 18:00 24:000
10
20
30
40
50NO [ppb]
heig
ht a
bove
gro
und
[m] 1.8 -- 2.0
1.6 -- 1.8 1.4 -- 1.6 1.2 -- 1.4 1.0 -- 1.2 0.8 -- 1.0 0.6 -- 0.8 0.4 -- 0.6 0.2 -- 0.4 0 -- 0.2
canopy top
canopy top
LBA-EUSTACH, Reserva Biologica Jarú, drywet season transition
00:00 06:00 12:00 18:00 24:000
10
20
30
40
50
O3 [ppb]he
ight
abo
ve g
roun
d [m
]
36 -- 40 32 -- 36 28 -- 32 24 -- 28 20 -- 24 16 -- 20 12 -- 16 8 -- 12 4 -- 8 0 -- 4
00:00 06:00 12:00 18:00 24:000
10
20
30
40
50NO [ppb]
heig
ht a
bove
gro
und
[m]
1.8 -- 2.0 1.6 -- 1.8 1.4 -- 1.6 1.2 -- 1.4 1.0 -- 1.2 0.8 -- 1.0 0.6 -- 0.8 0.4 -- 0.6 0.2 -- 0.4 0 -- 0.2
canopy top
(average of 43 days Sept/Oct 1999)
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characteristic chemical time scale
NO2 + h NO + O3 , k' = jNO2
NO + O3 NO2 + O2 , k = 2 10–12 exp(–1400/Tair)
characteristic turbulent time scale
determination of chemical & turbulent characteristic time scales
chem = 2 /{ jNO22 + k2 ( [O3] – [NO] )2 + 2 jNO2 k ( [O3] + [NO] + 2[NO2] ) }0.5
(Lenschow, 1982)
trunk space : "ramp patterns" in high frequency scalar time series coherent structures surface renewal model wavelet analysis "turbulent residence time"
Paw U et al., 1995;
above canopy :turb = k (zref + z0) (w2/u*)-1
(Villá-Guerrau & Duynkerke, 1992;
0 – 1m : Rn and CO2 flux / gradient approach (Kbulk)
Gut et al., 2002)
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LBA-EUSTACH, Reserva Biologica Jarú, 1999
1
10
100
1000
10000
100000
00:00 03:00 06:00 09:00 12:00 15:00 18:00 21:00 00:00
t i m e o f d a y [local]
c h
a r
a c
t e
r i
s t
i c
t i
m e
( )
[
s]
turb LBA-EUSTACH-2 chem LBA-EUSTACH-2turb LBA-EUSTACH-1 chem LBA-EUSTACH-1
53 m53 mabove canopyabove canopy
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LBA-EUSTACH, Reserva Biologica Jarú, 18...22-MAY-1999
11 m11 min-canopyin-canopy
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LBA-EUSTACH, Reserva Biologica Jarú, 18...22-MAY-1999
1 m1 m"forest floor""forest floor"
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0
10
20
30
40
50
0,0 0,1 0,2 0,3 0,4
arbitrary units
heig
ht a
bove
gro
und
[m
]
pLAI model
pLAI fit to measurements8
7
6
5
432
1
j = NO, NO2, O3, RO2'
Fj,plant,7
Fj,gas phase,7
Fj,turb,6
Fj,turb,7
NO + O 3 NO2 + O2
NO2 + O2 NO + O 3hv
’RO’2 + NO RO + NO 22
Fj,plant,1Fj,gas phase,1
Fj,turb,1
F(NO)soil F(NO2)soil
F(O3)soil
[NO], [NO2], [O3] at 53m
R(O3)soil
R(NO2)soil
F(NO)soil
w/u*
j(NO2)
R(O3)plant
a simple, multilayer diagnostic model
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0
10
20
30
40
50
0 2 4 6 8 10 12 14
eddy diffusion coefficient [m2 s-1]
he
igh
t a
bo
ve g
rou
nd
[
m]
LBA-EUSTACH, Reserva Biologica Jarú, drywet season transition
0 1 2 3
0
10
20
30
40
50 NO NO
2
O3
height [m
]
25 30 35
0
10
20
30
40
50
leaf area index
pot. temp [°C]
0 1 2
0 10 20 30 40 50
NO/NO2
O3
mixing ratio [ppb]
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0
10
20
30
40
50
1,E-05 1,E-04 1,E-03 1,E-02 1,E-01 1,E+00 1,E+01 1,E+02
eddy diffusion coefficient [m2 s-1]
he
igh
t a
bo
ve g
rou
nd
[
m]
LBA-EUSTACH, Reserva Biologica Jarú, drywet season transition
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0
10
20
30
40
50
0 1 2 3
eddy diffusion coefficient [m2 s-1]
he
igh
t a
bo
ve g
rou
nd
[
m]
LBA-EUSTACH, Reserva Biologica Jarú, drywet season transition
0 1 2 3
0
10
20
30
40
50 NO NO
2
O3
height [m
]
22 23 24
0
10
20
30
40
50
leaf area index
pot. temp [°C]
0 1 2
0 10 20 30 40 50
NO/NO2
O3
mixing ratio [ppb]
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a simple, multilayer diagnostic model : first results
F(NO)
F(NO2)
F(O3)
F(NOx)
0.01 ppb m s-1 = 5.7 ng N m-2s-1
0 1 2 3
0
10
20
30
40
50 NO NO
2
O3
height [m
]
25 30 35
0
10
20
30
40
50
leaf area index
pot. temp [°C]
0 1 2
0 10 20 30 40 50
NO/NO2
O3
mixing ratio [ppb]
0 1 2 3
0
10
20
30
40
50 NO NO
2
O3
height [m
]
22 23 24
0
10
20
30
40
50
leaf area index
pot. temp [°C]
0 1 2
0 10 20 30 40 50
NO/NO2
O3
mixing ratio [ppb]
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potential NOx Canopy Reduction Factors
F(NO)soil = 6.3 ng N m-2s-1 = 100 % ; [NO]53m = [NO2]53m = 0 ppb
0 1 2 3
0
10
20
30
40
50 NO NO
2
O3
height [
m]
25 30 35
0
10
20
30
40
50
leaf area index
pot. temp [°C]
0 1 2
0 10 20 30 40 50
NO/NO2
O3
mixing ratio [ppb]
[O3]53m = 40 ppb [O3]53m = 6 ppb
0 1 2 3
0
10
20
30
40
50 NO NO
2
O3
height [m
]
22 23 24
0
10
20
30
40
50
leaf area index
pot. temp [°C]
0 1 2
0 10 20 30 40 50
NO/NO2
O3
mixing ratio [ppb]
73%
13%14%
73 %
F(NOx)out
F(NO2)soil F(NO2)plant
14 %13 %
66%
21% 13%
F(NOx)out
66 %
F(NO2)soil F(NO2)plant
21 %13 %
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potential vs. actual NOx Canopy Reduction Factor
F(NO)soil = 6.3 ng N m-2s-1 = 100 %
0 1 2 3
0
10
20
30
40
50 NO NO
2
O3
height [m
]
25 30 35
0
10
20
30
40
50
leaf area index
pot. temp [°C]
0 1 2
0 10 20 30 40 50
NO/NO2
O3
mixing ratio [ppb]
[O3]53m = 40 ppb
[NO]53m = 0 ppb
[NO2]53m = 0 ppb
66%
21% 13%
F(NOx)out
66 %
F(NO2)soil F(NO2)plant
21 %13 %
0 1 2 3
0
10
20
30
40
50 NO NO
2
O3
height [m
]
25 30 35
0
10
20
30
40
50
leaf area index
pot. temp [°C]
0 1 2
0 10 20 30 40 50
NO/NO2
O3
mixing ratio [ppb]
[O3]53m = 40 ppb
[NO]53m = 0.06 ppb
[NO2]53m = 0.3 ppb
29%
22%
49%
F(NOx)out
F(NO2)soil
F(NO2)plant
49 %
22 % 29 %
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conclusions rainforest NOx canopy reduction factor of soil emitted NO (daily average):
25 % Jacob & Wofsy (1990) 50 % Yienger & Levy (1995) 43 % this work (actual CRF) 40–50 % Ganzeveld et al. (September 2002) high vegetation canopies are ideal environments for important chemistry–turbulence–biology interactions
in the case of NO–NO2–O3 the main controllers are
(a) turbulence intensity over the canopy (b) ozone mixing ratio over the canopy (c) biogenic NO emission from soil (d) canopy structure
deciduous (Gao et al., 1993), spruce (Duyzer et al., 1995), pine (Joss & Graber, 1996), orchard (Walton et al., 1997); maize (Fehsenfeld & Williams, 2000)
future needs
– NO2 conductance / NO2 canopy compensation mixing ratio – effect of different canopy structures – fluxes / flux divergences of NO2 and NOy
– interactions with radicals (RO2•) and reactive VOC's
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....vergelt'sgod !
Andreas Gut
Christof Ammann
Udo Rummel
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0 600 1200 1800-2
0
2
[m s
-1]
time [s]
w'
0
1
[K]
T'
-2
-1
0
1
[pp
b]
O3'
-1
0
1
[mm
ol m
ol-1
] H2O'
-3
0
3
[mol
mol
-1] CO
2' above-canopyabove-canopy
ramp pattern in scalar time-series
COCO22''
HH22O'O'
OO33''
T'T'
w'w'
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residence time
surface renewal model
coherent structures
...wavelet analysis
ramp patterns ....
z
t
X ( t )
dt
dX
mX zdt
dX
A
V
dt
dXF
2
10
z m
A u f e n t h a l t s z e i tresidence time
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biogenic NO emission from forest floor : 5 different techniques
4 dynamic chambers : NO, NO2, O3 surface fluxes Gut et al., JGR, 2002b
(gas-phase reactions and absorption to walls considered by blank chamber)
soil air profile : NO and Radon fluxes Gut et al., JGR, 2002a ("closed cycle" flushing of semi-permeable tubings (3 layers); soil diffusion coefficient by Rn profile and Rn surface flux (static chamber))
"bulk exchange" approach: NO fluxes from concentration gradients of NO (0.09 - 1.00m, above forest floor) Gut et al., JGR, 2002a (bulk exchange cofficient by Rn and CO2 gradients & surface flux (static chamber))
eddy covariance : NO fluxes at 1 and 11 m above forest floor Rummel et al., JGR, 2002
laboratory studies on soil samples : NO fluxes from NO production and NO consumption rates van Dijk et al., JGR, 2002
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background
denitrification (mostly anaerobic)
nitrification (mostly aerobic)
most important controllers: — soil moisture
— soil temperature
— soil nutrients (NO3–, NH4
+)
— soil texture
in soils, production and consumption of nitric oxide are always simultaneous microbiological processes (Conrad, 1996)
NO-exchange is basically bi-directional usually NO emission is observed
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background
remote regions
(USA)
urban (USA)
maritime
(Pacific)
tropical rainforest
wet season
ambi
ent m
ixin
g ra
tio (
NO
+N
O2)
in p
pb
VOC as propylene (normalized by reactivity) in ppb
isolines = ozone production rate in ppb/h
Chameides et al., JGR, 97: 6037-6055, 1992.
ABLE campaignsend of the 80's