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: Yasso07 - Land use dynamics of Soil Organic Carbon in the Loess Plateau, China (EM-480)
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EM Identity and Description
EM Identification (* Note that run information is shown only where run data differ from the "parent" entry shown at left)
EM ID
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EM-480 | Grassland to shrubland | Cropland-shrub to orchard | No landcover change | Grass-shrub to forest |
EM Short Name
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Yasso07 - Land use SOC dynamics, China | Yasso07 - Land use SOC dynamics, China | Yasso07 - Land use SOC dynamics, China | Yasso07 - Land use SOC dynamics, China | Yasso07 - Land use SOC dynamics, China |
EM Full Name
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Yasso07 - Land use dynamics of Soil Organic Carbon in the Loess Plateau, China | * | * | * | * |
EM Source or Collection
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None | * | * | * | * |
EM Source Document ID
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344 | * | * | * | * |
Document Author
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Wu, Xing, Akujarvi, A., Lu, N., Liski, J., Liu, G., Want, Y, Holmberg, M., Li, F., Zeng, Y., and B. Fu | * | * | * | * |
Document Year
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2015 | * | * | * | * |
Document Title
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Dynamics of soil organic carbon stock in a typical catchment of the Loess Plateau: comparison of model simulations with measurement | * | * | * | * |
Document Status
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Peer reviewed and published | * | * | * | * |
Comments on Status
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Published journal manuscript | * | * | * | * |
Software and Access (* Note that run information is shown only where run data differ from the "parent" entry shown at left)
EM ID
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EM-480 | Grassland to shrubland | Cropland-shrub to orchard | No landcover change | Grass-shrub to forest |
http://en.ilmatieteenlaitos.fi/yasso-download-and-support | * | * | * | * | |
Contact Name
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Xing Wu | * | * | * | * |
Contact Address
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Chinese Academy of Sciences, Beijing 100085, China | * | * | * | * |
Contact Email
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xingwu@rceesac.cn | * | * | * | * |
EM Description (* Note that run information is shown only where run data differ from the "parent" entry shown at left)
EM ID
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EM-480 | Grassland to shrubland | Cropland-shrub to orchard | No landcover change | Grass-shrub to forest |
Summary Description
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ABSTRACT: "Land use changes are known to significantly affect the soil C balance by altering both C inputs and losses. Since the late 1990s, a large area of the Loess Plateau has undergone intensive land use changes during several ecological restoration projects to control soil erosion and combat land degradation, especially in the Grain for Green project. By using remote sensing techniques and the Yasso07 model, we simulated the dynamics of soil organic carbon (SOC) stocks in the Yangjuangou catchment of the Loess Plateau. The performance of the model was evaluated by comparing the simulated results with the intensive field measurements in 2006 and 2011 throughout the catchment. SOC stocks and NPP values of all land use types had generally increased during our study period. The average SOC sequestration rate in the upper 30 cm soil from 2006 to 2011 in the Yangjuangou catchment was approximately 44 g C m-2 yr-1, which was comparable to other studies in the Loess Plateau. Forest and grassland showed a more effective accumulation of SOC than the other land use types in our study area. The Yasso07 model performed reasonably well in predicting the overall dynamics of SOC stock for different land use change types at both the site and catchment scales. The assessment of the model performance indicated that the combination of Yasso07 model and remote sensing data could be used for simulating the effect of land use changes on SOC stock at catchment scale in the Loess Plateau." | ABSTRACT: "Land use changes are known to significantly affect the soil C balance by altering both C inputs and losses. Since the late 1990s, a large area of the Loess Plateau has undergone intensive land use changes during several ecological restoration projects to control soil erosion and combat land degradation, especially in the Grain for Green project. By using remote sensing techniques and the Yasso07 model, we simulated the dynamics of soil organic carbon (SOC) stocks in the Yangjuangou catchment of the Loess Plateau. The performance of the model was evaluated by comparing the simulated results with the intensive field measurements in 2006 and 2011 throughout the catchment. SOC stocks and NPP values of all land use types had generally increased during our study period. The average SOC sequestration rate in the upper 30 cm soil from 2006 to 2011 in the Yangjuangou catchment was approximately 44 g C m-2 yr-1, which was comparable to other studies in the Loess Plateau. Forest and grassland showed a more effective accumulation of SOC than the other land use types in our study area. The Yasso07 model performed reasonably well in predicting the overall dynamics of SOC stock for different land use change types at both the site and catchment scales. The assessment of the model performance indicated that the combination of Yasso07 model and remote sensing data could be used for simulating the effect of land use changes on SOC stock at catchment scale in the Loess Plateau." | ABSTRACT: "Land use changes are known to significantly affect the soil C balance by altering both C inputs and losses. Since the late 1990s, a large area of the Loess Plateau has undergone intensive land use changes during several ecological restoration projects to control soil erosion and combat land degradation, especially in the Grain for Green project. By using remote sensing techniques and the Yasso07 model, we simulated the dynamics of soil organic carbon (SOC) stocks in the Yangjuangou catchment of the Loess Plateau. The performance of the model was evaluated by comparing the simulated results with the intensive field measurements in 2006 and 2011 throughout the catchment. SOC stocks and NPP values of all land use types had generally increased during our study period. The average SOC sequestration rate in the upper 30 cm soil from 2006 to 2011 in the Yangjuangou catchment was approximately 44 g C m-2 yr-1, which was comparable to other studies in the Loess Plateau. Forest and grassland showed a more effective accumulation of SOC than the other land use types in our study area. The Yasso07 model performed reasonably well in predicting the overall dynamics of SOC stock for different land use change types at both the site and catchment scales. The assessment of the model performance indicated that the combination of Yasso07 model and remote sensing data could be used for simulating the effect of land use changes on SOC stock at catchment scale in the Loess Plateau." | ABSTRACT: "Land use changes are known to significantly affect the soil C balance by altering both C inputs and losses. Since the late 1990s, a large area of the Loess Plateau has undergone intensive land use changes during several ecological restoration projects to control soil erosion and combat land degradation, especially in the Grain for Green project. By using remote sensing techniques and the Yasso07 model, we simulated the dynamics of soil organic carbon (SOC) stocks in the Yangjuangou catchment of the Loess Plateau. The performance of the model was evaluated by comparing the simulated results with the intensive field measurements in 2006 and 2011 throughout the catchment. SOC stocks and NPP values of all land use types had generally increased during our study period. The average SOC sequestration rate in the upper 30 cm soil from 2006 to 2011 in the Yangjuangou catchment was approximately 44 g C m-2 yr-1, which was comparable to other studies in the Loess Plateau. Forest and grassland showed a more effective accumulation of SOC than the other land use types in our study area. The Yasso07 model performed reasonably well in predicting the overall dynamics of SOC stock for different land use change types at both the site and catchment scales. The assessment of the model performance indicated that the combination of Yasso07 model and remote sensing data could be used for simulating the effect of land use changes on SOC stock at catchment scale in the Loess Plateau." | ABSTRACT: "Land use changes are known to significantly affect the soil C balance by altering both C inputs and losses. Since the late 1990s, a large area of the Loess Plateau has undergone intensive land use changes during several ecological restoration projects to control soil erosion and combat land degradation, especially in the Grain for Green project. By using remote sensing techniques and the Yasso07 model, we simulated the dynamics of soil organic carbon (SOC) stocks in the Yangjuangou catchment of the Loess Plateau. The performance of the model was evaluated by comparing the simulated results with the intensive field measurements in 2006 and 2011 throughout the catchment. SOC stocks and NPP values of all land use types had generally increased during our study period. The average SOC sequestration rate in the upper 30 cm soil from 2006 to 2011 in the Yangjuangou catchment was approximately 44 g C m-2 yr-1, which was comparable to other studies in the Loess Plateau. Forest and grassland showed a more effective accumulation of SOC than the other land use types in our study area. The Yasso07 model performed reasonably well in predicting the overall dynamics of SOC stock for different land use change types at both the site and catchment scales. The assessment of the model performance indicated that the combination of Yasso07 model and remote sensing data could be used for simulating the effect of land use changes on SOC stock at catchment scale in the Loess Plateau." |
Specific Policy or Decision Context Cited
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None identified | * | * | * | * |
Biophysical Context
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Agricultural plain, hills, gulleys, forest, grassland, Central China | * | * | * | * |
EM Scenario Drivers
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Land use change | * | * | * | * |
EM Relationship to Other EMs or Applications
EM ID
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EM-480 | Grassland to shrubland | Cropland-shrub to orchard | No landcover change | Grass-shrub to forest |
Method Only, Application of Method or Model Run
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Method + Application (multiple runs exist) | Model Run Associated with a Specific EM Application | Model Run Associated with a Specific EM Application | Model Run Associated with a Specific EM Application | Model Run Associated with a Specific EM Application |
New or Pre-existing EM?
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Application of existing model | Grassland to shrubland | Cropland-shrub to orchard | No landcover change | Grass-shrub to forest |
Related EMs (for example, other versions or derivations of this EM) described in ESML
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EM ID
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EM-480 | Grassland to shrubland | Cropland-shrub to orchard | No landcover change | Grass-shrub to forest |
Document ID for related EM
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Doc-343 | Doc-342 | Doc-343 | Doc-343 | Doc-343 | Doc-343 |
EM ID for related EM
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EM-466 | EM-467 | EM-469 | EM-485 | None | None | None | None |
EM Modeling Approach
EM Relationship to Time (* Note that run information is shown only where run data differ from the "parent" entry shown at left)
EM ID
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EM-480 | Grassland to shrubland | Cropland-shrub to orchard | No landcover change | Grass-shrub to forest |
EM Temporal Extent
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1969-2011 | * | * | * | * |
EM Time Dependence
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time-dependent | * | * | * | * |
EM Time Reference (Future/Past)
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past time | * | * | * | * |
EM Time Continuity
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discrete | * | * | * | * |
EM Temporal Grain Size Value
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1 | * | * | * | * |
EM Temporal Grain Size Unit
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Year | * | * | * | * |
EM spatial extent (* Note that run information is shown only where run data differ from the "parent" entry shown at left)
EM ID
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EM-480 | Grassland to shrubland | Cropland-shrub to orchard | No landcover change | Grass-shrub to forest |
Bounding Type
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Watershed/Catchment/HUC | * | * | * | * |
Spatial Extent Name
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Yangjuangou catchment | * | * | * | * |
Spatial Extent Area (Magnitude)
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1-10 km^2 | * | * | * | * |
Spatial Distribution of Computations (* Note that run information is shown only where run data differ from the "parent" entry shown at left)
EM ID
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EM-480 | Grassland to shrubland | Cropland-shrub to orchard | No landcover change | Grass-shrub to forest |
EM Spatial Distribution
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spatially distributed (in at least some cases) | * | * | * | * |
Spatial Grain Type
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area, for pixel or radial feature | * | * | * | * |
Spatial Grain Size
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30m x 30m | * | * | * | * |
EM Structure and Computation Approach (* Note that run information is shown only where run data differ from the "parent" entry shown at left)
EM ID
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EM-480 | Grassland to shrubland | Cropland-shrub to orchard | No landcover change | Grass-shrub to forest |
EM Computational Approach
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Numeric | * | * | * | * |
EM Determinism
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deterministic | * | * | * | * |
Statistical Estimation of EM
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* | * | * | * |
Model Checking Procedures Used (* Note that run information is shown only where run data differ from the "parent" entry shown at left)
EM ID
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EM-480 | Grassland to shrubland | Cropland-shrub to orchard | No landcover change | Grass-shrub to forest |
Model Calibration Reported?
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No | * | * | * | * |
Model Goodness of Fit Reported?
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Yes ?Comment:p value: p<0.001 |
* ?Comment:p value <0.05 |
* ?Comment:pvalue <0.05 |
* ?Comment:p value <0.05 |
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Goodness of Fit (metric| value | unit)
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Model Operational Validation Reported?
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No | * | * | * | * |
Model Uncertainty Analysis Reported?
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No | * | * | * | * |
Model Sensitivity Analysis Reported?
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No | * | * | * | * |
Model Sensitivity Analysis Include Interactions?
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Not applicable | * | * | * | * |
EM Locations, Environments, Ecology
Location of EM Application (* Note that run information is shown only where run data differ from the "parent" entry shown at left)
Terrestrial location (Classification hierarchy: Continent > Country > U.S. State [United States only])
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EM-480 | Grassland to shrubland | Cropland-shrub to orchard | No landcover change | Grass-shrub to forest |
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* | * | * | * |
Marine location (Classification hierarchy: Realm > Region > Province > Ecoregion)
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EM-480 | Grassland to shrubland | Cropland-shrub to orchard | No landcover change | Grass-shrub to forest |
None | * | * | * | * |
Centroid Lat/Long (Decimal Degree)
EM ID
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EM-480 | Grassland to shrubland | Cropland-shrub to orchard | No landcover change | Grass-shrub to forest |
Centroid Latitude
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36.7 | * | * | * | * |
Centroid Longitude
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109.52 | * | * | * | * |
Centroid Datum
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WGS84 | * | * | * | * |
Centroid Coordinates Status
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Provided | * | * | * | * |
Environments and Scales Modeled (* Note that run information is shown only where run data differ from the "parent" entry shown at left)
EM ID
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EM-480 | Grassland to shrubland | Cropland-shrub to orchard | No landcover change | Grass-shrub to forest |
EM Environmental Sub-Class
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Agroecosystems | Terrestrial Environment (sub-classes not fully specified) | Agroecosystems | Terrestrial Environment (sub-classes not fully specified) | Agroecosystems | Terrestrial Environment (sub-classes not fully specified) | Agroecosystems | Terrestrial Environment (sub-classes not fully specified) | Agroecosystems |
Specific Environment Type
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Loess plain | * | * | * | * |
EM Ecological Scale
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Ecological scale is finer than that of the Environmental Sub-class | * | * | * | * |
Organisms modeled (* Note that run information is shown only where run data differ from the "parent" entry shown at left)
Scale of differentiation of organisms modeled
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EM ID
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EM-480 | Grassland to shrubland | Cropland-shrub to orchard | No landcover change | Grass-shrub to forest |
EM Organismal Scale
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Not applicable | * | * | * | * |
Taxonomic level and name of organisms or groups identified
taxonomyHelp
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EM-480 | Grassland to shrubland | Cropland-shrub to orchard | No landcover change | Grass-shrub to forest |
None Available | * | * | * | * |
EnviroAtlas URL
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EM-480 | Grassland to shrubland | Cropland-shrub to orchard | No landcover change | Grass-shrub to forest |
Average Annual Precipitation, Carbon storage by tree biomass (kg/m2), Carbon Storage by Tree Biomass | None Available | None Available | None Available | None Available |
EM Ecosystem Goods and Services (EGS) potentially modeled, by classification system
* Note that run information is shown only where run data differ from the "parent" entry shown at left
CICES v 4.3 - Common International Classification of Ecosystem Services (Section > Division > Group > Class)
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EM-480 | Grassland to shrubland | Cropland-shrub to orchard | No landcover change | Grass-shrub to forest |
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(Environmental Subclass > Ecological End-Product (EEP) > EEP Subclass > EEP Modifier)
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EM-480 | Grassland to shrubland | Cropland-shrub to orchard | No landcover change | Grass-shrub to forest |
None | * | * | * | * |
EM Variable Names (and Units)
* Note that for runs, variable name is displayed only where data for that variable differed by run AND those differences were reported in the source document. Where differences occurred but were not reported, the variable is not listed. Click on variable name to view details.
Predictor
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Intermediate
EM ID
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EM-480 | Grassland to shrubland | Cropland-shrub to orchard | No landcover change | Grass-shrub to forest |
Intermediate (Computed) Variables (and Units)
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Response
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EM ID
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EM-480 | Grassland to shrubland | Cropland-shrub to orchard | No landcover change | Grass-shrub to forest |
Observed Response Variables (and Units)
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Computed Response Variables (and Units)
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