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: (EM-948)
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EM-948: A global forest growing stock, biomass and carbon map based on FAO statistics
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EM Identity and Description
| EM-948 | |
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Document Author
variable.detail.emDocumentAuthorHelp
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Kindermann, G.E., I. McCallum, S. Fritz, and M. Obersteiner |
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Document Year
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2008 |
Variable General Info
| Area (grid cell) |
Forest biomass attribute quantity (country level) ?Comment:Forest biomass attributes include: forest growing stock; above-ground, below ground, dead wood and total forest biomass; anaboveground, below-ground, dead wood, litter and soil carbon. |
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). |
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Variable ID
variable.detail.varIdHelp
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23313 | 23310 | 23314 | 23312 | 23311 |
| A | Not reported | Not reported | Not reported | NPP | |
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Qualitative-Quantitative
variable.detail.continuousCategoricalHelp
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Quantitative (Cardinal Only) | Quantitative (Cardinal Only) | Quantitative (Cardinal Only) | Qualitative (Class, Rating or Ranking) | Quantitative (Cardinal Only) |
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Cardinal-Ordinal
variable.detail.cardinalOrdinalHelp
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Cardinal | Cardinal | Cardinal | Ordinal | Cardinal |
| km^2 | multiple | % | Not applicable | gC m^-3 yr^-1 |
Variable Typology
| Area (grid cell) |
Forest biomass attribute quantity (country level) ?Comment:Forest biomass attributes include: forest growing stock; above-ground, below ground, dead wood and total forest biomass; anaboveground, below-ground, dead wood, litter and soil carbon. |
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). |
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Predictor-Intermediate-Response
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Predictor |
Predictor |
Predictor |
Predictor |
Predictor |
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Predictor Variable Type
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Time- or Space-varying Variable |
Time- or Space-varying Variable |
Time- or Space-varying Variable |
Time- or Space-varying Variable |
Time- or Space-varying Variable |
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Response Variable Type
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Not applicable | Not applicable | Not applicable | Not applicable | Not applicable |
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Data Source/Type
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Map or database (e.g., wide coverage, wide availability, measured or modeled) | Map or database (e.g., wide coverage, wide availability, measured or modeled) |
Map or database (e.g., wide coverage, wide availability, measured or modeled) ?Comment:from the global land-cover product GLC2000 (JRC 2003). |
Derived from meta-analysis (i.e., multi-study, multi-location) ?Comment:The human influence map was taken from CIESIN (2002). |
Derived as output of another model (and not found in a widely available database) ?Comment:Cramer et al. (1999) |
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Variable Classification Hierarchy
variable.detail.vchLevel1Help
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N. Not classified |
5. Ecosystem Attributes and Potential Supply of Ecosystem Goods and Services |
2. Land Surface (or Water Body) Cover, Use, Substrate, or Metric |
4. Human-Produced Stressor or Enhancer of Ecosystem Goods and Services Production |
5. Ecosystem Attributes and Potential Supply of Ecosystem Goods and Services |
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--Biomass, litter or residue characteristics |
--Land use/land cover type or dominant habitat type |
--Generalized (e.g., multimetric or nonspecific) indices of human disturbance of ecosystems |
--Biological characteristics, processes or requirements of living ecosystem components |
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----Mass or quantity of biomass, litter or residue |
----Forests |
----Biological characteristics, processes or requirements of ecological communities |
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------Forest communities |
Variable Spatial Characteristics
| Area (grid cell) |
Forest biomass attribute quantity (country level) ?Comment:Forest biomass attributes include: forest growing stock; above-ground, below ground, dead wood and total forest biomass; anaboveground, below-ground, dead wood, litter and soil carbon. |
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). |
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Spatial Extent Area
variable.detail.spExtentHelp
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>1,000,000 km^2 | >1,000,000 km^2 | >1,000,000 km^2 | >1,000,000 km^2 | >1,000,000 km^2 |
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Spatially Distributed?
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Yes | Yes | Yes | Yes | Yes |
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Observations Spatially Patterned?
variable.detail.regularSpGrainHelp
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Yes | Yes | Yes | Yes | Yes |
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Spatial Grain Type
variable.detail.spGrainTypeHelp
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area, for pixel or radial feature | Map scale, for cartographic feature | area, for pixel or radial feature | area, for pixel or radial feature | area, for pixel or radial feature |
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Spatial Grain Size
variable.detail.spGrainSizeHelp
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0.5 x 0.5 degrees | by country | 0.5 x 0.5 degrees | 0.5 x 0.5 degrees | 0.5 x 0.5 degrees |
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Spatial Density
variable.detail.spDensityHelp
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Not applicable | Not applicable | Not applicable | Not applicable | Not applicable |
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EnviroAtlas URL
variable.detail.enviroAtlasURLHelp
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GAP Ecological Systems | GAP Ecological Systems |
Variable Temporal Characteristics
| Area (grid cell) |
Forest biomass attribute quantity (country level) ?Comment:Forest biomass attributes include: forest growing stock; above-ground, below ground, dead wood and total forest biomass; anaboveground, below-ground, dead wood, litter and soil carbon. |
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). |
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Temporal Extent
variable.detail.tempExtentHelp
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2005 | 2005 | 2003 | 2002 | 1999 |
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Temporally Distributed?
variable.detail.tempDistributedHelp
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Not applicable | Not applicable | Not applicable | Not applicable | Not applicable |
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Regular Temporal Grain?
variable.detail.regularTempGrainHelp
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Not applicable | Not applicable | Not applicable | Not applicable | Not applicable |
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Temporal Grain Size Value
variable.detail.tempGrainSizeValHelp
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Not applicable | Not applicable | Not applicable | Not applicable | Not applicable |
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Temporal Grain Size Units
variable.detail.tempGrainSizeUnitHelp
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Not applicable | Not applicable | Not applicable | Not applicable | Not applicable |
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Temporal Density
variable.detail.tempDensityHelp
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Not applicable | Not applicable | Not applicable | Not applicable | Not applicable |
Variable Values
| Area (grid cell) |
Forest biomass attribute quantity (country level) ?Comment:Forest biomass attributes include: forest growing stock; above-ground, below ground, dead wood and total forest biomass; anaboveground, below-ground, dead wood, litter and soil carbon. |
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). |
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| km | multiple | % | Not applicable | gC m^-3 yr^-1 | |
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Min Value
variable.detail.minEstHelp
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0 | Varies by run; view runs to see values | 0 | Not applicable | 3 |
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Max Value
variable.detail.estHelp
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3091 | Varies by run; view runs to see values | 100 | Not applicable | 1373 |
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Other Value Type
variable.detail.natureOtherEstHelp
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Not applicable | Not applicable | Not applicable | Not applicable | Not applicable |
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Other Value
variable.detail.otherEstHelp
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Not reported | Not reported | Not reported | Not applicable | Not reported |
Variable Variability and Sensitivity
| Area (grid cell) |
Forest biomass attribute quantity (country level) ?Comment:Forest biomass attributes include: forest growing stock; above-ground, below ground, dead wood and total forest biomass; anaboveground, below-ground, dead wood, litter and soil carbon. |
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). |
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Variability Expression Given?
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No | No | No | No | No |
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Variability Metric
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None | None | None | None | None |
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Variability Value
variable.detail.variabilityValueHelp
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None | None | None | None | None |
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Variability Units
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None | None | None | None | None |
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Resampling Used?
variable.detail.bootstrappingHelp
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Not applicable | Not applicable | Not applicable | Not applicable | Not applicable |
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Variability Expression Used in Modeling?
variable.detail.variabilityUsedHelp
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Not applicable | Not applicable | Not applicable | Not applicable | Not applicable |
Variable Operational Validation (Response Variables only)
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Variable ID
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Validated?
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Validation Approach (within, between, etc.)
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Validation Quality (Qual/Quant)
variable.detail.validationQualityHelp
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Validation Method (Stat/Deviance)
variable.detail.validationMethodHelp
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Validation Metric
variable.detail.validationMetricHelp
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Validation Value
variable.detail.validationValHelp
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Validation Units
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Use of Measured Response Data
variable.detail.measuredResponseDataHelp
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