estimation of soil carbon stock changes in japanese ...€¦ · inventory development after 2008...
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Estimation of Soil Carbon Stock Changes in Japanese Agricultural Soils
using National Resources Inventoryg y
Yusuke TAKATA
National Institute for Agro-Environmental Sciences
Natural Resources Inventory Center,
[email protected] Kannondai, Tsukuba, Ibaraki, 305-8604 JAPAN305-8604, JAPAN
ContentsContentsBackground 1. Past national report about soil carbon stock (SCS).2. Development of agro-environmental inventory after the past reportthe past report.
Body 3. Comparison accuracy among two SCS estimation methods. Categorical method and Hybrid-kriging method4. Changes of SCS (0-30cm) in Japanese agricultural land.
5. SCS in agricultural land at different depth
INTRODUCTION Paddy Fields
Soil carbon stock (tC/ha) in agricultural land on
Paddy Fields Orchard①
②
③ 1990 was summarized in NGGI using “Legacy data”
③
④⑤
⑥
Upland Fields
⑥
⑦
⑧⑨
⑩
Grassland⑩
⑪
⑫⑬⑬
⑭
⑮
⑯
INTRODUCTIONSoil carbon stock (tC/ha) in agricultural land on 1990 was summarized in NGGI using “Legacy data”
“Legacy data”; “Legacy data”;
1) Basic Soil-Environment Monitoring (Stationary Monitoring)(Stationary Monitoring)
2) Old cultivated soil map (1970’s),3) Old land use map (before 1970’s)3) Old land use map (before 1970 s)
Basic Soil - Environment Monitoring Project
(St ti M it i )(Stationary Monitoring)About 20 000 monitoring sitesAbout 20,000 monitoring sites.5-year-interval (Since 1979)
Figure . Location of stationary
ContentsSite information, Soil characteristics , and Farmland managements g y
monitoring .Soil characteristics , and Farmland managements (fertilizer , organic matter and soil amendment application, kind of crops, yield, etc)
Dataset was divided into two groups; Validation dataset: Parameterization dataset = 1:10a dat o dataset a a ete at o dataset 0
INTRODUCTIONSoil carbon stock (tC/ha) in agricultural land on 1990 was summarized in NGGI using “Legacy data”
“Legacy data”; “Legacy data”;
1) Basic Soil-Environment Monitoring (Stationary Monitoring)(Stationary Monitoring)
2) Old cultivated soil map (1970’s),3) Old land use map (before 1970’s)3) Old land use map (before 1970 s)
Inventory Development after 2008Two versions of Soil land use map (1992 and 2001)Two versions of Soil-land use map (1992 and 2001).
04 04 03: Andosols
03 03 03 03 Andosols
04: Wet Andosols
Tsukuba Tsukuba
10 10
1992 version 2001 version06: Brown
06 06
Brown Forest soil 09: Red soils
09 09
Red soils 10: Yellow soils
Southwest Japan Southwest Japan1992 version 2001 version
Southwest Japan Southwest Japan
Cultivated Soil –l d M land use Map (2001 version)(2001 version)Japanese cultivated soil classification
Soil groups: 16Soil groups: 16Soil series groups: 60 Soil series: 320
Andosols
Soil series: 320
Wet AndosolsBrown Forest soilsGray Lowland soilsGray Lowland soilsGley soilsOther Soil Groups
Inventory Development after 2008Two versions of Soil land use map (1992 and 2001)
04 04 03: Andosols
Two versions of Soil-land use map (1992 and 2001).
03 03 03 03 Andosols
04: Wet Andosols
Tsukuba Tsukuba
10 10
1992 version 2001 version06: Brown
06 06
Brown Forest soil 09: Red soils
09 09
Red soils 10: Yellow soils
Southwest Japan Southwest Japan1992 version 2001 version
Southwest Japan Southwest Japan
Cultivated soil area in JapanSoil Group Area (x1000 ha)No. of
1973 1992 2001Gray Lowland 9 Fluvisols, 1275 1157 1072
Soil Group(WRB)
Area (x1000 ha)Soil Group
No. ofSoil Series Group
ysoils
9 ,Gley soils
1275 1157 1072
Gley soils 7 Fluvisols 1027 908 848Gley soils 7 Fluvisols 1027 908 848
Andosols 5 Andosols 1007 944 879
Brown Forestsoils
3 Cambisols 483 426 362soils
Wet Andosols 5 GleyicAndosols
384 419 397
Other soils 31 1498 1347 1231
Total 5675 5202 4790
Inventory Development after 2008Soil temperature regime map (1km grid)
3.0
4.0
T (o
C) Eq. 1
Eq 2 Eq 3
Soil temperature regime map (1km grid)
1.0
2.0
Soi
l T-A
ir Eq. 2 Eq. 3
0.0
0 250 500 750 1000
Altitude (m)Diff
S
f(Diff Soil T- Air T (oC)) =0.0015*Altitude + 1.8 (N 108 R2 0 21) E 1
Map of Diff Soil T- Air T (oC)
Soil tempreturemonitoring sites(N=108, R2=0.21) Eq.1.
Diff Soil T- Air T (oC) = f(Diff Soil T- Air T (oC)) + ε Eq. 2ε; residuals of Eq. 1.(measured value –predicted value),
monitoring sites
Frigid Mesic Thermic
Hyperthermic
ε; residuals of Eq. 1.(measured value predicted value), and it was interpolated by Ordinary Kriging
Soil temperature map =Air temperature map + ff S ( C) Unknown (Altitude > 1000m)
Soil Temperature regime map
Diff Soil T- Air T (oC) Eq. 3
National Resources Inventory for Estimating SCS in Japanese Estimating SCS in Japanese
Agricultural Land 1) Basic Soil-Environment Monitoring (Stationary Monitoring)(Stationary Monitoring)
2) Updated “soil - land use” map (1992 and 2001 version),,
3) Annual agricultural census3) Annual agricultural census
4) Soil temperature regime map4) Soil temperature regime map
Comparison accuracy among t SCS ti ti th dtwo SCS estimation methods
Categorical MethodCategorical MethodV S
Hybrid-kriging MethodV. S.
Hybrid kriging Method
Categorical methodPedo transfer depth function
Soil carbon content (g/kg)
“Basic Soil-Environmental Monitoring Project” data Deficit data
Calculating the increase/decrease ratio of C content or bulk density for 0-1cm layer to each layer per soil groups and
Pedo-transfer depth function
Soil carbon content (g/kg) Bulk density 0 cm 0 cm 0 cm
layer to each layer per soil groups and land use type (64 SG_LU categories).
0 cm
1cm 1cmX
30 cm 30 cm
?
30 cm 30 cm30 cmAveraging per soil series group and land use type (SSG LU categories) in Th t t i bl f th l
Increase/ Decrease Ratio
(SSG_LU categories) in each 1cm layer.
The target variable of the layers was computed by Increase/Decrease Ratio by top layer’s variable
60 SSG and 4 land use (paddy, upland, orchard, grassland)240 SSG_LU categories
SCS (0-30cm; tC/ha) in the Major Soil Groups for 1st Interval (1979-1983)180 Groups for 1st Interval (1979-1983)
120 120
60
0
Paddy field Upland fields Orchard GrasslandCategorical Method
SCS (0-30cm; tC/ha) Map Delineated by Categorical Method Categorical Method
SCS Map Soil Map
0 540‐5454‐6969‐102 Andosols102‐150150‐250
Wet AndosolsBrown Forest soilsGray Lowland soilsGray Lowland soilsGley soilsOther Soil Groups
Spatial biased of the categorical method Residuals (tC/ha)( )= Measured SCS values – Estimated SCS values Residuals (tC/ha) > 0; Underestimation
( C/ ) 0 O
a b c d a b c c3030
C/h
a)
C/h
a)
Cool region; Underestimated Residuals (tC/ha) < 0; Overestimation
00
sidu
als
(tC
sidu
als
(tCCool region; Underestimated Warm region; Overestimated
1st interval (1979-) 3rd interval (1989-)a b c c a a b ab
-30-303030
Res
ha)
Res
ha)
Warm region; Overestimated
Frigid Mesic00
dual
s (tC
/h
dual
s (tC
/h
4th interval (1994-)2nd interval (1984-)Frigid Mesic
Thermic Hyperthermic
Soil temperature regime map-30-30 R
esid
Res
id
Soil temperature regime map
Residuals (prediction error) of SCS estimation using the categorical method have a negative correlation with soil temperature regime
Hybrid-kriging methodR id l = M d d t E ti t d d t E 1Residuals = Measured data – Estimated data Eq.1
Estimated data was provided by Categorical Method (SCS Point data) (Map data)(Point data)
ResidualsMap = Ordinary kriging (Residuals) Eq.2(Map data) (Point data)
SCS_Map = Estimated data + ResidualsMap Eq.3(Map data) (Eq. 2; Map data)(Map data)
E 3 Eq.3Eq.3
E 1 Eq 2Eq.1 Eq.2
ResidualsSCS map
(Categorical) SCS_Map (Hybrid)ResidualsMap
Number of the samples in each dataset
Method Parameter Residuals Validati
dataset
16 793 9351st int Categorical
ization Mapping tion
16,793 93516,793 8,698 935
1st int. Categorical(1979 -) Hybrid-kriging
16,774 81716,774 7,561 817
2nd int.(1984 -)
CategoricalHybrid-kriging
16,639 82516,639 5,740 825
3rd int.(1989 -)
CategoricalHybrid-kriging
14,750 60714,750 5,582 607
4th int.(1994 -)
CategoricalHybrid-kriging
Validation of the estimation of SCS in cultivated soil (0-30cm)SCS in cultivated soil (0-30cm).
RMSE MEMethod(tC/ha) (tC/ha)Validation #
1st int. Categorical 41.4 -10.5(1979 -) Hybrid-kriging 38.1 -0.7
(tC/ha) (tC/ha)
935935( ) Hybrid kriging 38.1 0.7
2nd int. 39.8 -8.4(1984 ) 36 5 1 9
CategoricalHybrid kriging
935
817817(1984 -) 36.5 -1.9
3rd int. 38.5 -8.8(1989 ) 35 7 3 1
Hybrid-krigingCategoricalH b id k i i
817825
(1989 -) 35.7 -3.14th int. 39.0 -6.5(1994 ) 36 3 1 0
Hybrid-krigingCategoricalH b id k i i
825607607(1994 -) 36.3 -1.0Hybrid-kriging
RMSE; Root mean square error, SQRT{1/N*Σ(mean error)2}
607
RMSE; Root mean square error, SQRT{1/N Σ(mean error) } ME; Mean error, 1/N*Σ(Measured values – estimated values)
SCS (0-30cm; tC/ha) Map
Th i
102‐150150‐250
Thermicregion
0‐5454‐6969‐102102‐150
Thermicregion
Categorical Hybrid kriging489 Tg 455 Tg
Categorical Method
Hybrid-krigingMethod
Changes of SCS (0-30cm; tC/ha) in each land use typeeach land use type
160
120
80
40
0
Hybrid-kriging Method
Changes of soil carbon content (0-30cm; Tg) in Agricultural land(0 30cm; Tg) in Agricultural land
480
180
240
240
360
120
180
120
240
60
120
0
120
0
60
0
Hybrid-kriging Method
SCS at different depthFor calculating the SCS at different depth per SSG_LU category (0-50 cm, 0-
The SCS dataset in each 5 year
p p _ g y ( ,100 cm) in each 5 year interval
yinterval were merged.
The average SCS in each 1-cm layers were re-calculated from 0 to 100cm per soil groupsNumbers of the !to 100cm per soil groups
samples were limited!
SCS (tC/ha) at different depth400 0-30cm
Third interval (1989-1993)250
300 30-50cm
50-100cm150
200
Area Area
200
100
150 5,193 x 1000 haTotal carbon content
1,195 Tg
24,294 x 1000 haTotal carbon content
4,750 Tg
100 50
100 , g , g
0 0
Agricultural land Forest
0-30cm 30-100cm
Forest soil data source; Morisada et al. (2004) Geoderma, 119, 21-32
ConclusionConclusion
Categorical method have spatial bias. Hybrid-kriging method can overcome the spatial bi d it id hi h ti ti
1.bias, and it provides high accuracy estimation.
SCS in agricultural land was gradually increased during the monitoring period, but soil carbon
t t i i lt l l d d d ith 2.
content in agricultural land was decreased with decreasing agricultural land area.
Changes of SCS (0-30cm; tC/ha) in each soil groupeach soil group160
120
80
40
0
Hybrid-kriging Method
Basic Soil - Environment Monitoring Project
(Stationary Monitoring) (Stationary Monitoring) 800
O5m
g/100g)
600
osp
hat
e (
P2O
4001979-
1984-
Ava
ilabl
e P
ho
200
0
1989-
1994-
1998
land use
greenhousepastureorcharduplandpaddy
Changes of available phosphate contents of surface soilsChanges of available phosphate contents of surface soils during 1979-1998. (Obara et.al 2004)