sohi ibi newcastle 2008 evaluating mechanisms
TRANSCRIPT
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International Biochar Initiative
2nd annual meetingNewcastle, UK, 7-11th September 2008
Evaluating mechanisms oforganic matter-biochar
interaction in soil
Dr Saran SohiRothamsted Research, Harpenden, UK
www.rothamsted.bbsrc.ac.uk/aen/CarbonCyclingCentre for Bioenergy and Climate Change
Cross-Institute Programme in Sustainable Soil Use
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Outline
Hypotheses:
Biochar increases other organic matter in soil
Modelling can decipher the underlying process
1. Introduction: soil organic matter, modelling
2. Experimental approach (using terra preta)
3. Results and conclusions
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Organic matter, carbon & soil structure
Watts et al., Rothamsted Research
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Organic matter in soil
Plants are the dominant source
- but supplemented by management Decomposition is inevitable and rapid
- but necessary to deliver key benefits
Only a few percent of soil mass is organic- but offers manageable properties
Soil is always a harsh, complex habitat- but infinitely diverse
Biochar is a fundamentally distinct
component of soil organic matter
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Purpose of soil C models
Embody understanding of crop, climate
and soil texture effects on decomposition Provide the universal formula predicting
organic matter trajectory and equilibrium
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Universal soil modelling concept
0
2
46
8
10
0 50 100
0
1
23
4
5
0 50 100
0.0
0.20.4
0.6
0.8
1.0
0 50 100
0.0
0.40.8
1.2
1.6
2.0
0 50 100
SoilC
t/ha
SoilC
t/ha
time (yrs) time (yrs)
Pool 1 Pool 2
Pool 3 Pool 4
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Universal soil modelling concept
0
4
8
12
16
20
0 50 100
Soil
Ct/ha
time (yrs)
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Field experiments simulated
Soil C
(tonnes /hectare)
corn &grass
cornonly
grass
border
natural
pasture
80
0
30
60
1860 20001930
Data from the Morrow Plots, a long-term field experiment in Illinois
RothC simulation at Rothamsted by K Coleman
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Biochar changes everything: the universal
understanding no longer applies
But:
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Example 1: Waite plots, Australia
K. Coleman et al. Geoderma 81(1) 29-44
Assuming 10tC/ha plant input Assuming 3tC/ha in IOM
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Example 2: Terra preta soils, Brazil
Sites and data (provisional) from INPA, Brazil, with Cornell UniversityRothC simulation at Rothamsted by K Coleman
Adjacent 52 78 % 8.0 5.7
Terra Preta 84 63 % 12.7 4.5 +212 %
Adjacent 68 33 % 10.7 5.0
Terra Preta 156 46 % 23.6 6.5 +201 %
Adjacent 53 37 % 7.9 3.3
Terra Preta 88 21 % 14.3 4.0 +98 %Adjacent 54 65 % 7.5 3.9
Terra Preta 104 11 % 18.1 3.8 +204 %
Location
Adjusted :
default inertC (%)
-
-
-
-Site 1
Site 2
Site 3
Site 4
totaltC/ha Clay
Explanatory
C input
(Defaultmodel; tC/yr)
Measured
litter C
input(tC/yr)
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One obvious impact of biochar
Pool of inert carbon is enhanced
But changes in other soil characteristics
suggest fundamental changes to soil organic
matter cycling
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Less added carbon respired in biochar soil
0
1
2
3
4
5
6
7
8
0 100 200 300 400 500
Days of incubation
mgCO2-C
/ day
(minus
control)
terra preta
adjacent soil
Measurements at Cornell by B Liang
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Modelling using measurable pools
Objectives:
To discriminate and evaluate points of impact
To compare impacts of different biochar
products under different conditions
Experimental protocol and linked model already
in place from organic matter studies in normalsoils
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Soil physical fractionation
15 g soil + 90 ml NaI
solution (1.80 gcm-3)
Dissolved organic matter
Organomineral (heavy)
Density separation Free organic matter (light)
Sohi et al. 2001, Soil Science
Society of America Journal 64(3)
Ultrasonic dispersion
Density separation Intra-aggregate (light)
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Experimental design
Three ancient terra preta oxisols
enriched in biochar, limited recent agriculture
Three adjacent oxisols (no biochar) no evidence of agriculture
Laboratory incubation 18mth at 30C with/out isotope-labelled sugarcane leaves
Periodic sampling fractionation (C,N, 13C and 15N measured)
including a biochar fraction
measurement of respiration (CO2)
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Less added carbon respired in biochar soil
0
1
2
3
4
5
6
7
8
0 100 200 300 400 500
Days of incubation
mgCO2-C
/ day
(minus
control)
terra preta
adjacent soil
Measurements at Cornell University by B. Liang
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But more rapid transfer in labile fractions
Added (labelled) C:
Fate of most active soil
fraction free organic matter
fasterin terra preta
Association with protected
intra-aggregate) fractions is
more rapid
0
20
40
60
80
100
1 10 100 1000
Days of incubation
AddedCinfra
ction(%)
Oxisol
Terra Preta
0
20
40
60
80
100
1 10 100 1000Days of incubation
AddedCin
fraction(%)
Oxisol
Terra Preta
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Yet: more stabilisation..
Also: the mobile, labile
soluble fraction much
larger
But not in the biochar-
enriched sub-fractionbiochar-rich
fraction
other
organomineral
0.0
0.5
1.0
1.5
2.0
Oxisol Terra preta
AddedC
(mgC/gsoil)
Organomineral fraction
contained much morestraw carbon:
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Conclusions from model analysis
* Turnover of free organic matter is tripled
* More organic matter processed through aggregates
* Microbes concentrate in aggregates, organomineral
* Efficiency of microbial C incorporation is halved
* Transfer between fractions increasingly abiotic
* Microbial mortality rate is much slower
* Turnover of soluble organic matter greatly reduced
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Simulation captures contrasting dynamics
More rapid accumulation of organic matter
into stable organomineral pool in terra preta
Simulated dynamics of carbon resulting from enrichment of soil with biochar
Oxisol Oxisol with biochar
0
5
10
15
20
-10 40 90 140 190 240 290 340 390 440 490
Days of incubation
C in
fraction
(mg / g
soil)
CO2
Soluble
Free
Intra-aggregate
Organomineral
0
5
10
15
20
-10 40 90 140 190 240 290 340 390 440 490
Days of incubation
C in
fraction
(mg / g
soil)
CO2
Soluble
Free
Intra-aggregate
Organomineral
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Terra Preta study: conclusions
Less CO2 emitted after straw addition
Transfer of organic matter through pools
of increasing stability much more rapid
An extra 15% of added organic matter(straw) transferred to the most stable pool
Results from model optimisation support a
predominantly abiotic process
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Experimental considerations, challenges
Biochar contains an active fraction and aged
biochar is not simple to manufacture Response and equilibration of microbial
population could be relatively slow
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Acknowledgements
Johannes Lehmann & Biqing Liang, Cornell University
Helen Yates & Kevin Coleman, Rothamsted ResearchJohn Gaunt, Carbon Consulting LLC
Rothamsted Research receives grant-aided support from the Biotechnology
and Biological Sciences Research Council (BBSRC) in the UK