soil carbon accounting: options to measure, monitor, and address project-level issues forestry &...
TRANSCRIPT
![Page 1: Soil carbon accounting: options to measure, monitor, and address project-level issues Forestry & Agriculture Greenhouse Gas Modeling Forum Shepherdstown,](https://reader035.vdocuments.site/reader035/viewer/2022062323/56649ee55503460f94bf55ce/html5/thumbnails/1.jpg)
Soil carbon accounting:options to measure, monitor, and
address project-level issues
Forestry & Agriculture Greenhouse Gas Modeling ForumShepherdstown, West Virginia
8-11 October 2002
Tris WestEnvironmental Sciences DivisionOak Ridge National Laboratory
OAK RIDGE NATIONAL LABORATORY
U.S. DEPARTMENT OF ENERGY
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Potential trade-offs between environmental integrity and economic incentives
Issues that may arise in efforts to maintain
environmental integrity
What is accuracy of soil C measurements or estimates?
Are changes in land use and climate considered?
Are other environmental effects (e.g., changes in GHG emissions) considered?
Additionality, permanence, saturation, & leakage
Consider simplicity & flexibility
Issues that may arise if incentives for C
sequestration are provided
What level of accuracy is desired?
What are acceptable amounts of time and costs associated with measuring and monitoring?
What are acceptable levels of economic risk (e.g., risk of not meeting sequestration obligation)?
Who is eligible for incentives (targeting)?
Consider simplicity & flexibility
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Focus: soil C changes in agricultural soils
Conventional Tillage(CT)
No-Till(NT)
Photos courtesy of Donald Tyler, Univ. of TN, West TN Ag. Exp. Station
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Presentation outline
I. Current options for measuring and monitoringA. Summary of measurement optionsB. Issues associated with measurement optionsC. Discussion of carbon management response curves
1. Project-level issues2. Accounting for other greenhouse gases
II. Comparison of options
III. Conclusions
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Option 1: Measuring soil carbon change
Ex situ – soil sampling (analyzed in lab)
In situ – soil sampling (analyzed in field) Laser Induced Breakdown Spectroscopy
(Cremers et al. 2001, Martin et al. 2002) Surface-Enhanced Raman Scattering
(Stokes & Vo-Dinh 2001) Inelastic Neutron Scattering
(Wielopolski et al. 2000)
Eddy Covariance – net ecosystem exchange
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Option 2: Estimating soil carbon change
Remote sensing capabilities
Process models
Database accounting
See also:Post et al. 2001. Monitoring and verifying changes of organic carbon in soil. Climatic Change 51:73-99.
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Option 3: Incentive based on practice
Approach similar to Conservation Reserve Program:
Payments for cropland “set aside” for a fixed time period.
Decreases in soil erosion are not measured.
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Carbon accounting issues related to carbon measurements (Option 1)
Is it reasonable to provide an incentive based on natural variability of soil carbon measurements?
How do we know when soil C has reached saturation or a new equilibrium?
Do we know that all change in soil C is due to the change in practice (is there a control plot or baseline estimate)?
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Example: Comparison between measured and estimated changes in soil carbon
0
500
1000
1500
2000
2500
0 10 20 30 40Time (year)
Estimated mean change in soil C from West & Post (2002). SSSAJ 66:1930-1946.
95% C.I.
Measured change in soil C (in red)Illinois corn/soybean (Kitur et al. 1994)
Cum
ulat
ive
C s
eque
ster
ed in
soi
l w
ith a
cha
nge
from
con
vent
iona
l til
lage
to
no-t
ill (
g m
-2)
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-400
-200
0
200
400
600
800
1000
1200
1400
0 10 20 30 40
Time (year)
Cum
ualti
ve C
seq
uest
ered
in
soil
with
a c
hang
e fr
om
conv
entio
nall
tilla
ge t
o no
-till
(g m
-2)
Measured change in soil C (in red)Kentucky continuous corn (Ismail et al. 1994)
Example: Comparison between measured and estimated changes in soil carbon
95% C.I.
Estimated mean change in soil C from West & Post (2002). SSSAJ 66:1930-1946.
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0
500
1000
1500
2000
2500
0
200
400
600
800
1000
1200
1400
0 10 20 30 40Time (year)
Cum
ula
tive
C s
eque
ste
red
in s
oil
with
a
chan
ge f
rom
co
nve
ntio
nal t
illag
e to
no-
till
(g m
-2)
Ohio corn/soybean rotation
Ohio continuous corn
Example: Comparison between measured and estimated changes in soil carbon
Measured change in soil C (in red) Dick et al. (1997)
Estimated mean change in soil C from West & Post (2002). SSSAJ 66: 1930-1946.
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Campbell et al. 2001. Canadian Journal of Soil Science 81:383-394.
Changes in soil carbon due to climate suggest the need to consider issues of additionality and saturation
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Option 4: Estimate change in C based on practice using average measured responses
Approach is a hybrid between options 1, 2 and 3:
Development of Carbon Management Response Curves
Option 1: Measuring soil carbon change
Option 2: Estimating soil carbon change
Option 3: Incentive based on practice
Introducing Option 4
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0
0.2
0.4
0.6
0.8
1
1.2
1.4
0 10 20 30 40
Time (years)
Mean95% C.I.
Carbon Management Response Curves —carbon accumulation under no-till
Targeting
Uncertainty
Mean sequestration and duration
Ave
rage
ann
ual C
seq
uest
ratio
nra
te f
ollo
win
g a
chan
ge f
rom
CT
to
NT
(%
/yr)
Estimate: 11 ± 2% (normalized to original land use)Source: West & Post (2002). Soil Sci. Society of Am. J. 66:1930-1946
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Carbon Management Response Curves —carbon accumulation following afforestation
Estimate: 37±12% (normalized to original land use)Sources: Gao & Gifford (2002), Paul et al. (2002), Post & Kwon (2000)
0
0.5
1
1.5
2
2.5
0 10 20 30 40 50 60
Time (years)
Ave
rage
ann
ual C
seq
uest
ratio
n ra
te fo
llow
ing
a ch
ange
from
cu
ltiva
ted
land
to fo
rest
(%
/yr)
Mean95% C.I.
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Carbon Management Response Curves —soil carbon loss following cultivation
Estimate: -30 ± 5% (normalized to original land use)Sources: Mann 1986, Post & Mann 1990, Davidson & Ackerman 1993, Murty et al. 2002
-14
-12
-10
-8
-6
-4
-2
0
0 5 10 15 20
Years in cultivation
Ave
rage
ann
ual l
oss
of s
oil C
fo
llow
ing
culti
vatio
n of
fore
sted
la
nd (
%/y
r)
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Carbon Management Response Curves —Integrating changes in land use
“…there are not enough data available to perform a meta analysis of the land use change from pasture or forest to no-tillage crop.”
- Guo & Gifford (2002)
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Years
Estimating carbon stocks following changes in land management using CMR curves
-10
0
10
20
30
40
0 20 40 60 80 100
-4
-20
2
4
68
10
12
Conventional tillageNo-tillForest
-4-20
2468
1012
0 20 40 60 80 100
Scenario: Deforest, cultivate with CT for 20 yr, change to NT for 10 yr, use CT for 1 year, change back to NT for 10 yr, reforest at year 50.
Ave
rage
ann
ual r
ate
of C
flu
x to
the
atm
osph
ere
(%/y
r)
Years
Ave
rage
cum
ulat
ive
C
flux
to th
e at
mos
pher
e (%
)
Change in soil C with change in land use Integration over time
Permanence
Deforestation (CT)No-till (NT)Afforestation
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Accounting of changes in GHG emissions assumes:• Soil C sequestration of 570 ± 140 kg C/ha/yr [normal distribution]• Average US production inputs and associated emissions
• Estimated relationship between N fertilizer and N2O
emissions of 2.66 kg Ceq / kg N applied (2% of N applied)
• Potential change in N2O emissions of 7 ± 15% with
change from CT to NT [uniform distribution]• Potential change in yield of ± 6% [uniform distribution]• Change in cropped area that ranges from full compensation for
the change in crop yield to no response to the change in yield
[uniform distribution]
Estimating changes in GHG emissions associated with soil C sequestration using CMR curves
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-8000
-6000
-4000
-2000
0
2000
4000
0 10 20 30 40 50
Time (year)
Change in N2O emissionsChange in SOCChange in CO2 emissions
Savings in CO2 and N2O emissions are permanent while
C sequestered in soil may be temporary
Cum
ulat
ive
chan
ge in
SO
C a
nd
CO
2 an
d N
2O e
mis
sion
s to
the
at
mos
pher
e (k
g/ha
)
Temporary
Permanent
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-10000
-8000
-6000
-4000
-2000
0
0 10 20 30 40 50Time (year)
Change in SOC, CO2, and N2OChange in SOCChange in SOC and CO2
Emissions that are released as a result of an implemented carbon sequestration strategy may represent a future liability
Temporary
Liability
Credit
Cum
ulat
ive
chan
ge in
net
GH
G f
lux
to t
he a
tmos
pher
e (k
g/ha
)
Permanent
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Carbon management response curves — Summary
Upon further development, CMR curves may effectively address:
• Integration of practices over time• Duration of C sequestration rates (saturation)• Uncertainty in C sequestration rates• Additionality (cancels out climate effect)• Possible inclusion of net carbon/GHG accounting• Targeting• Permanence• Temporal and spatial variability
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Cost of Measuring & monitoring
Accuracy of change in C stock
Account for saturation or seq. duration
Risk of not meeting seq.
obligation
Simplicity and flexibility of accounting
Direct
(in situ)Medium High
Low-Medium
Medium-High
Low-Medium
Direct
(ex situ)High High
Low-Medium
Medium-High
Low-Medium
Practice Low Low Low Low High
Hybrid (avg. estimate)
Low Medium High Low High
A general and qualitative comparison of some options to measure/estimate changes in soil C stocks
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Concluding remarks
Options to measure & monitor partly depend on ability to address project-level issues
Costs, simplicity, predictability, flexibility, as well as saturation, additionality, and permanence all appear to be more effectively addressed by the use of average sequestration or loss rates (CMR curves) rather than direct C measurements
In addition, CMR curves allow for integration of several practices over time and possible inclusion of net GHG accounting
Similar comparison could be done with economic/ incentive options and combined with measuring & monitoring options to develop a comprehensive carbon accounting framework
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Acknowledgments
Consortium for Research on Enhancing
Carbon Sequestration in Terrestrial Ecosystems
OAK RIDGE NATIONAL LABORATORYU.S. DEPARTMENT OF ENERGY