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EM Identity and Description (* Note that run information is shown only where run data differ from the "parent" entry for that variable)

EM ID variable.detail.emIdHelp ?	EM-948
Document Author variable.detail.emDocumentAuthorHelp ?	Kindermann, G.E., I. McCallum, S. Fritz, and M. Obersteiner
Document Year variable.detail.emDocumentYearHelp ?	2008

Variable General Info (* Note that run information is shown only where run data differ from the "parent" entry for that variable)

Name variable.detail.varNameHelp ?	Area (grid cell)	Forest biomass attribute quantity (country level) ? Comment: Above-ground biomass.	Forest share ? Comment: The forest share of a country was taken from FAO (2005) and the forest share on a grid was taken from the global land-cover product GLC2000 (JRC 2003). Pure forest classes are assumed to be covered 100% by forest, the GLC2000 classifications “Mosaic: Tree Cover / Other natural vegetation” have 50% and “Mosaic: Crop-land / Tree Cover / Other natural vegetation” have 20% tree coverage. The tree coverage for the 0.5 × 0.5 degree grid was calculated by summing up the tree cover of the given 1 × 1 square kilometer grid of GLC2000 on the area of 0.5 × 0.5 degree grid and dividing it by the total grid area.	Human influence ? Comment: The human influence map was taken from CIESIN (2002). Nine global data layers were used to create this global “human footprint” map. The layers describe human population pressure (population density/population settlements), human land use and infrastructure (built up areas, night-time lights, land use/land cover), and human access (coastlines, roads, railroads, navigable rivers).	Net primary production ? Comment: The NPP data set contains modeled annual net primary production (NPP) for the land biosphere from seventeen different global models (Cramer et al. 1999). This data set was created in the mid-1990s with 17 models available at that time. It uses data from Remote Sensing Based Models, Models of Seasonal Biogeochemical Fluxes and Models of Process and Pattern (Function and Structure).
Variable ID variable.detail.varIdHelp ?	23313	23310	23314	23312	23311
Symbol variable.detail.varSymbolHelp ?	*	*	*	*	*
Qualitative-Quantitative variable.detail.continuousCategoricalHelp ?	*	*	*	*	*
Cardinal-Ordinal variable.detail.cardinalOrdinalHelp ?	*	*	*	*	*
Units variable.detail.varUnitsHelp ?	*	Mt	*	*	*

Variable Typology (* Note that run information is shown only where run data differ from the "parent" entry for that variable)

Name variable.detail.varNameHelp ?	Area (grid cell)	Forest biomass attribute quantity (country level) ? Comment: Above-ground biomass.	Forest share ? Comment: The forest share of a country was taken from FAO (2005) and the forest share on a grid was taken from the global land-cover product GLC2000 (JRC 2003). Pure forest classes are assumed to be covered 100% by forest, the GLC2000 classifications “Mosaic: Tree Cover / Other natural vegetation” have 50% and “Mosaic: Crop-land / Tree Cover / Other natural vegetation” have 20% tree coverage. The tree coverage for the 0.5 × 0.5 degree grid was calculated by summing up the tree cover of the given 1 × 1 square kilometer grid of GLC2000 on the area of 0.5 × 0.5 degree grid and dividing it by the total grid area.	Human influence ? Comment: The human influence map was taken from CIESIN (2002). Nine global data layers were used to create this global “human footprint” map. The layers describe human population pressure (population density/population settlements), human land use and infrastructure (built up areas, night-time lights, land use/land cover), and human access (coastlines, roads, railroads, navigable rivers).	Net primary production ? Comment: The NPP data set contains modeled annual net primary production (NPP) for the land biosphere from seventeen different global models (Cramer et al. 1999). This data set was created in the mid-1990s with 17 models available at that time. It uses data from Remote Sensing Based Models, Models of Seasonal Biogeochemical Fluxes and Models of Process and Pattern (Function and Structure).
Predictor-Intermediate-Response variable.detail.displayVariableTypeHelp ?	*	*	*	*	*
Predictor Variable Type variable.detail.displayPredictorVariableTypeHelp ?	*	*	*	*	*
Response Variable Type variable.detail.resClassHelp ?	*	*	*	*	*
Data Source/Type variable.detail.dataTypeHelp ?	*	*	* ? Comment: from the global land-cover product GLC2000 (JRC 2003).	* ? Comment: The human influence map was taken from CIESIN (2002).	* ? Comment: Cramer et al. (1999)
Variable Classification Hierarchy variable.detail.vchLevel1Help ?	*	*	*	*	*

Variable Spatial Characteristics (* Note that run information is shown only where run data differ from the "parent" entry for that variable)

Name variable.detail.varNameHelp ?	Area (grid cell)	Forest biomass attribute quantity (country level) ? Comment: Above-ground biomass.	Forest share ? Comment: The forest share of a country was taken from FAO (2005) and the forest share on a grid was taken from the global land-cover product GLC2000 (JRC 2003). Pure forest classes are assumed to be covered 100% by forest, the GLC2000 classifications “Mosaic: Tree Cover / Other natural vegetation” have 50% and “Mosaic: Crop-land / Tree Cover / Other natural vegetation” have 20% tree coverage. The tree coverage for the 0.5 × 0.5 degree grid was calculated by summing up the tree cover of the given 1 × 1 square kilometer grid of GLC2000 on the area of 0.5 × 0.5 degree grid and dividing it by the total grid area.	Human influence ? Comment: The human influence map was taken from CIESIN (2002). Nine global data layers were used to create this global “human footprint” map. The layers describe human population pressure (population density/population settlements), human land use and infrastructure (built up areas, night-time lights, land use/land cover), and human access (coastlines, roads, railroads, navigable rivers).	Net primary production ? Comment: The NPP data set contains modeled annual net primary production (NPP) for the land biosphere from seventeen different global models (Cramer et al. 1999). This data set was created in the mid-1990s with 17 models available at that time. It uses data from Remote Sensing Based Models, Models of Seasonal Biogeochemical Fluxes and Models of Process and Pattern (Function and Structure).
Spatial Extent Area variable.detail.spExtentHelp ?	*	*	*	*	*
Spatially Distributed? variable.detail.spDistributedHelp ?	*	*	*	*	*
Observations Spatially Patterned? variable.detail.regularSpGrainHelp ?	*	*	*	*	*
Spatial Grain Type variable.detail.spGrainTypeHelp ?	*	*	*	*	*
Spatial Grain Size variable.detail.spGrainSizeHelp ?	*	*	*	*	*
Spatial Density variable.detail.spDensityHelp ?	*	*	*	*	*
EnviroAtlas URL variable.detail.enviroAtlasURLHelp ?			GAP Ecological Systems	GAP Ecological Systems

Variable Temporal Characteristics (* Note that run information is shown only where run data differ from the "parent" entry for that variable)

Name variable.detail.varNameHelp ?	Area (grid cell)	Forest biomass attribute quantity (country level) ? Comment: Above-ground biomass.	Forest share ? Comment: The forest share of a country was taken from FAO (2005) and the forest share on a grid was taken from the global land-cover product GLC2000 (JRC 2003). Pure forest classes are assumed to be covered 100% by forest, the GLC2000 classifications “Mosaic: Tree Cover / Other natural vegetation” have 50% and “Mosaic: Crop-land / Tree Cover / Other natural vegetation” have 20% tree coverage. The tree coverage for the 0.5 × 0.5 degree grid was calculated by summing up the tree cover of the given 1 × 1 square kilometer grid of GLC2000 on the area of 0.5 × 0.5 degree grid and dividing it by the total grid area.	Human influence ? Comment: The human influence map was taken from CIESIN (2002). Nine global data layers were used to create this global “human footprint” map. The layers describe human population pressure (population density/population settlements), human land use and infrastructure (built up areas, night-time lights, land use/land cover), and human access (coastlines, roads, railroads, navigable rivers).	Net primary production ? Comment: The NPP data set contains modeled annual net primary production (NPP) for the land biosphere from seventeen different global models (Cramer et al. 1999). This data set was created in the mid-1990s with 17 models available at that time. It uses data from Remote Sensing Based Models, Models of Seasonal Biogeochemical Fluxes and Models of Process and Pattern (Function and Structure).
Temporal Extent variable.detail.tempExtentHelp ?	*	*	*	*	*
Temporally Distributed? variable.detail.tempDistributedHelp ?	*	*	*	*	*
Regular Temporal Grain? variable.detail.regularTempGrainHelp ?	*	*	*	*	*
Temporal Grain Size Value variable.detail.tempGrainSizeValHelp ?	*	*	*	*	*
Temporal Grain Size Units variable.detail.tempGrainSizeUnitHelp ?	*	*	*	*	*
Temporal Density variable.detail.tempDensityHelp ?	*	*	*	*	*

Variable Values (* Note that run information is shown only where run data differ from the "parent" entry for that variable)

Name variable.detail.varNameHelp ?	Area (grid cell)	Forest biomass attribute quantity (country level) ? Comment: Above-ground biomass.	Forest share ? Comment: The forest share of a country was taken from FAO (2005) and the forest share on a grid was taken from the global land-cover product GLC2000 (JRC 2003). Pure forest classes are assumed to be covered 100% by forest, the GLC2000 classifications “Mosaic: Tree Cover / Other natural vegetation” have 50% and “Mosaic: Crop-land / Tree Cover / Other natural vegetation” have 20% tree coverage. The tree coverage for the 0.5 × 0.5 degree grid was calculated by summing up the tree cover of the given 1 × 1 square kilometer grid of GLC2000 on the area of 0.5 × 0.5 degree grid and dividing it by the total grid area.	Human influence ? Comment: The human influence map was taken from CIESIN (2002). Nine global data layers were used to create this global “human footprint” map. The layers describe human population pressure (population density/population settlements), human land use and infrastructure (built up areas, night-time lights, land use/land cover), and human access (coastlines, roads, railroads, navigable rivers).	Net primary production ? Comment: The NPP data set contains modeled annual net primary production (NPP) for the land biosphere from seventeen different global models (Cramer et al. 1999). This data set was created in the mid-1990s with 17 models available at that time. It uses data from Remote Sensing Based Models, Models of Seasonal Biogeochemical Fluxes and Models of Process and Pattern (Function and Structure).
Units variable.detail.estUnitHelp ?	*	Mt	*	*	*
Min Value variable.detail.minEstHelp ?	*	Not reported	*	*	*
Max Value variable.detail.estHelp ?	*	Not reported	*	*	*
Other Value Type variable.detail.natureOtherEstHelp ?	*	*	*	*	*
Other Value variable.detail.otherEstHelp ?	*	*	*	*	*

Variable Variability and Sensitivity (* Note that run information is shown only where run data differ from the "parent" entry for that variable)

Name variable.detail.varNameHelp ?	Area (grid cell)	Forest biomass attribute quantity (country level) ? Comment: Above-ground biomass.	Forest share ? Comment: The forest share of a country was taken from FAO (2005) and the forest share on a grid was taken from the global land-cover product GLC2000 (JRC 2003). Pure forest classes are assumed to be covered 100% by forest, the GLC2000 classifications “Mosaic: Tree Cover / Other natural vegetation” have 50% and “Mosaic: Crop-land / Tree Cover / Other natural vegetation” have 20% tree coverage. The tree coverage for the 0.5 × 0.5 degree grid was calculated by summing up the tree cover of the given 1 × 1 square kilometer grid of GLC2000 on the area of 0.5 × 0.5 degree grid and dividing it by the total grid area.	Human influence ? Comment: The human influence map was taken from CIESIN (2002). Nine global data layers were used to create this global “human footprint” map. The layers describe human population pressure (population density/population settlements), human land use and infrastructure (built up areas, night-time lights, land use/land cover), and human access (coastlines, roads, railroads, navigable rivers).	Net primary production ? Comment: The NPP data set contains modeled annual net primary production (NPP) for the land biosphere from seventeen different global models (Cramer et al. 1999). This data set was created in the mid-1990s with 17 models available at that time. It uses data from Remote Sensing Based Models, Models of Seasonal Biogeochemical Fluxes and Models of Process and Pattern (Function and Structure).
Variability Expression Given? variable.detail.variabilityExpHelp ?	*	*	*	*	*
Variability Metric variable.detail.variabilityMetricHelp ?	*	*	*	*	*
Variability Value variable.detail.variabilityValueHelp ?	*	*	*	*	*
Variability Units	*	*	*	*	*
Resampling Used? variable.detail.bootstrappingHelp ?	*	*	*	*	*
Variability Expression Used in Modeling? variable.detail.variabilityUsedHelp ?	*	*	*	*	*

Variable Operational Validation (Response Variables only; * Note that run information is shown only where run data differ from the "parent" entry for that variable)

Name variable.detail.varNameHelp ?
Variable ID variable.detail.varIdHelp ?
Validated? variable.detail.resValidatedHelp ?
Validation Approach (within, between, etc.) variable.detail.validationApproachHelp ?
Validation Quality (Qual/Quant) variable.detail.validationQualityHelp ?
Validation Method (Stat/Deviance) variable.detail.validationMethodHelp ?
Validation Metric variable.detail.validationMetricHelp ?
Validation Value variable.detail.validationValHelp ?
Validation Units
Use of Measured Response Data variable.detail.measuredResponseDataHelp ?

Name

Variable ID

Validated?

Validation Approach (within, between, etc.)

Validation Quality (Qual/Quant)

Validation Method (Stat/Deviance)

Validation Metric

Validation Value

Validation Units

Use of Measured Response Data

US EPA

EcoService Models Library (ESML)

Variables Details

: (EM-948)

Selected

Above-ground biomass

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