COP 15 GlobalSoilMap.net McBratney - Europa › events › Conferences › ...Aspects of soil carbon...
Transcript of COP 15 GlobalSoilMap.net McBratney - Europa › events › Conferences › ...Aspects of soil carbon...
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Aspects of soil carbon mapping and monitoring via GlobalSoilMap
The spline model, material coordinate systems and aud iting soil carbon on farms
Alex McBratney, Budiman Minasny, Brendan Malone,Ichsani Wheeler & Sophie Gulliver
The University of Sydney AUSTRALIA
COP15
EU The Digital Soil Map of the World: its Relevance to UNFCC
EU Pavilion C5 Room Monnet December 12 2009
www.globalsoilmap.net
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Soil Depth FunctionsSoil Depth Functions
• Variation of soil properties down a profile is continuous….though it is often represented as being discontinuous .
• Continuous soil depth functions include :
•free-hand drawing: no mathematical form
•exponential, regression and polynomial equations: can be
problematic
• smoothing splines: a better alternative
An equal-area quadratic spline from Ponce-Hernandez et al. 1986.
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Raw soil data Fit spline function to raw data
Derive the mean estimate of carbon at specified depth intervals….user defined. These become the target inputs for modelling.
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Carbon Storage
Fitted splines of
raw data
Fitted splines of
raw data
• Environmental
factors: Elevation,
slope, altitude above
channel network,
stream power index,
potassium, bands #3,
#4 and #5 and band
ratios 3/7 and 5/7
• Fit of model: R2
ranged between 50-
78%- best predictions
20-100cm
• Adequate fit of
predicted spline
functions with raw
profile data in most
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Profile Soil C prediction
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Carbon Storage
Fitted splines of
raw data
Fitted splines of
model estimates
Fitted splines of
model estimates
Fitted splines of
raw data
• Environmental
factors: Elevation,
slope, altitude above
channel network,
stream power index,
potassium, bands #3,
#4 and #5 and band
ratios 3/7 and 5/7
• Fit of model: R2
ranged between 50-
78%- best predictions
20-100cm
• Adequate fit of
predicted spline
functions with raw
profile data in most
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Depth at
which soil C
< 1%
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carbon density
(kg m-2 to 1m)
Total soil carbon density to 1m in
Edgeroi NSW
Mean value
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?uncertainty?
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carbon density
(kg m-2 to 1 m)
Total soil carbon density to 1m
Edgeroi NSWLOWER 99%
MEAN
UPPER 99%
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858
774
738690
840
708
738
774
858
see Lee et al. (2009) Determining soil carbon stocks: Simple bulk density correction fail. Agriculture, Ecosystems, Environment 134 251-256
Spatial(length or depth) or material (mass) coordinate
system?Depth may be a troublesome unit of measure…
0.00
0.06
0.12
0.03
0.15
0.09
0.18
Dep
th (
m)
1.23
1.23
1.43
1.15
1.18
1.40
1.40
Unaccounted soil
Bulk density (Mg m-3)
132 Mg ha-1 not sampled
Time 1
i.e. tillage
0.18
0.21
0.00
0.06
0.12
0.03
0.15
0.09
Time 2Management event
738 Soil mass (Mg ha-1)
Sampled soil
1.15
1.18
1.40
Depth (m
)
Material coordinates
Spatial coordinates
+ 0.012 m
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0
20
40
60
80
100
120
0 1 2 3 4
Dep
th (c
m)
C density (kg/m2)
0
20
40
60
80
100
120
0 5 10 15
Dep
th (c
m)
Cumulative C density (kg/m2)
Irrigated, annual crops
Dryland, annual cropsIrrigated,
annual crops
Dryland, annual crops
1500 kg/m21500 kg/m2
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400
600
800
1000
1200
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0 1 2 3 4
Cum
ulat
ive
min
eral
mas
s (k
g/m
2)
C density (kg/m2)
0
200
400
600
800
1000
1200
1400
1600
1800
2000
0 5 10 15
Cum
ulat
ive
min
eral
mas
s (k
g/m
2)
Cumulative C density (kg/m2)
Irrigated, annual crops
Dryland, annual crops
Irrigated,
annual cropsDryland, annual crops
1500 kg/m2
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Soil depth to 1500kg/m2 mineral material
Total mass of carbon in 1500kg/m2 soil
material
Some sums:
Area ≈ 1700km2
Total mass of soil material (1500kg/m2) ≈ 2.6 Pg
Total mass of carbon ≈ 200 Kt
Carbon percentage ≈ 0.8%
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Updating/Monitoring/Auditing
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Edgeroi - Changes over time
0.0
0.5
1.0
1.5
2.0
2.5
0 5 10 15 20 25 30
No. years in irrigated cultivation
Tot
al C
(da
gkg
-1)
C = 0.7 exp(-0.13 years) + 0.8
Odeh McBratney et al. (2002)
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0
10
20
OM
1940 1950 1960 1970 1980 1990
YEAR
Org
an
ic m
att
er
(%)
The change in Organic matter content of soils in Sumatra , Indonesia
For the top 15 cm
A reduction from 57 t/ha (4.5% C in 1940)
to 25 t/ha (1.5% C in 1970)
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Globalsoilmap for stratification
Land useSoil carbon
density to 30 cm
� 20 equal area
strata
� 3 sites per
stratum
� Cores taken to
30cm depth
� Duplicate
samples taken
at each site
� 60 x 2 samples
= 120 samples
Stratified random
sampling scheme
(StRS)
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C densitySOC density (kg m-2) on Dimby Downs Total C density (kg m-2) on Dimby Downs
Strata accounted for:
� 68% of variation in SOC
� 65% of variation in total C
� 50% of variation in SIC
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C stocks on the whole farm
9410458SRS equivalentsample size
1.561.730.96StRS efficiency
110 06791 47423 368Upper 95% Confidence Limit
98 86081 48210 604Lower 95% Confidence Limit
+ 6 603+ 4 996+ 6 38295% ConfidenceInterval
201152194Standard error
103 45686 68916 766Total C on whole farm
Total C (Mg C)
Organic C (Mg C)
Inorganic C (Mg C)
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C estimation efficiency
110 067
Upper 95%ConfidenceLimit
96 860
Lower 95%ConfidenceLimit
+ 6 60395% ConfidenceInterval
201Standard error
103 456Total C on whole
farm
Individualsamples
Total C to 30 cm depth (Mg C)
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Soil C
Let’s include it
Let’s map it
And monitor it
Let’s put it back
(+20% by 2020)
And keep it there