EcoService Models Library (ESML)
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EM: Yasso07 - Land Use Effects on Soil Organic Carbon Stocks in the Loess Plateau, China (EM-469)
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EM Identity and Description
EM Identification
EM ID
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EM-469 |
EM Short Name
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Yasso07 - SOC, Loess Plateau, China |
EM Full Name
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Yasso07 - Land Use Effects on Soil Organic Carbon Stocks 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
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
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." |
Specific Policy or Decision Context Cited
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None |
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
Method Only, Application of Method or Model Run
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Method + Application |
New or Pre-existing EM?
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Application of existing model |
Related EMs (for example, other versions or derivations of this EM) described in ESML
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Document ID for related EM
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Doc-343 | Doc-342 |
EM ID for related EM
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EM-466 | EM-467 | EM-480 | EM-485 |
EM Modeling Approach
EM Relationship to Time
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
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
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
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
Model Calibration Reported?
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Yes |
Model Goodness of Fit Reported?
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Yes ?Comment:For the year 2006 and 2011 |
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
Terrestrial location (Classification hierarchy: Continent > Country > U.S. State [United States only])
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Marine location (Classification hierarchy: Realm > Region > Province > Ecoregion)
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None |
Centroid Lat/Long (Decimal Degree)
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
EM Environmental Sub-Class
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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 |
Scale and taxa of organisms modeled
Scale of differentiation of organisms modeled
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EM Organismal Scale
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Not applicable |
Taxonomic level and name of organisms or groups identified
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None Available |
EnviroAtlas URL
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Average Annual Precipitation, Carbon storage by tree biomass (kg/m2), Agricultural water use (million gallons/day), Carbon Storage by Tree Biomass |
EM Ecosystem Goods and Services (EGS) potentially modeled, by classification system
CICES v 4.3 - Common International Classification of Ecosystem Services (Section > Division > Group > Class)
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(Environmental Subclass > Ecological End-Product (EEP) > EEP Subclass > EEP Modifier)
fegs2Help
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None |
EM Variable Names (and Units)
Predictor
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Intermediate
Intermediate (Computed) Variables (and Units)
view details (5 variables)
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Response
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Observed Response Variables (and Units)
view details (7 variables)
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Computed Response Variables (and Units)
view details (8 variables)
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