Browse data: Variable
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- Application (39)
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Is input for: (Click arrow to add another value) Is output of: Agricultural economy (3) · Atmospheric composition and climate (5) · Carbon cycle and natural vegetation (1) · Crops and grass (1) · Energy supply (1) · Energy supply and demand (1) · Flood risks (1) · Land cover and land use (1) · Land degradation (1) · Livestock systems (1) · Terrestrial biodiversity (1) · Water (1)
Showing below up to 21 results in range #1 to #21.
- Bioenergy production (Total bioenergy production., type: model (from/to model))
- Cloudiness - grid (Percentage of cloudiness per month; assumed constant after the historical period, type: historical data)
- Crop production (Regional production per crop., type: model (from/to model))
- Erosion risk - grid (Risk of soil erosion caused by water., type: model (from/to model))
- GDP per capita - grid (Scaled down GDP per capita from country to grid level, based on population density., type: driver)
- Grass requirement (Grass requirement; ruminants (nondairy cattle, dairy cattle, sheep and goats) are grazing animals, and part (in mixed systems) or most (pastoral systems) of their feed is grass, hay or other roughage; this grass requirement is calculated as a fraction of the total energy (feed) requirement., type: model (from/to model))
- Increase in irrigated area - grid (Increase in irrigated area, often based on external projections (e.g., FAO)., type: driver)
- Land cover, land use - grid (Multi-dimensional map describing all aspects of land cover and land use per grid cell, such as type of natural vegetation, crop and grass fraction, crop management, fertiliser and manure input, livestock density., type: model (from/to model))
- Land use and land-use intensity - grid (High resolution land use and land use intensity based on GLC2000 and IMAGE land cover and land use., type: model (from/to model))
- Livestock production (Production of livestock products (dairy, beef, sheep and goats, pigs, poultry)., type: model (from/to model))
- Management intensity crops (Management intensity crops, expressing actual yield level compared to potential yield. While potential yield is calculated for each grid cell, this parameter is expressed at the regional level. This parameter is based on data and exogenous assumptions - current practice and technological change in agriculture - and is endogenously adapted in the agro-economic model., type: model (from/to model))
- NEP (net ecosystem production) - grid (Net natural exchange of CO2 between biosphere and atmosphere (NPP minus soil respiration), excluding human induced fluxes such as decay of wood products., type: model (from/to model))
- Number of wet days - grid (Number of days with a rain event, per month; assumed constant after the historical period, type: historical data)
- Ocean carbon uptake (Ocean carbon uptake., type: model (from/to model))
- Population - grid (Number of people per gridcell (using downscaling)., type: driver)
- Potential crop and grass yield - grid (Potential crop and grass yield, changing over time due to climate change and possibly soil degradation. In some components, i.e. 'Agricultural economy' regional aggregations of the dataset which depend on the actual land-use area, are used., type: model (from/to model))
- Precipitation - grid (Monthly total precipitation., type: model (from/to model))
- Protected area - grid (Map of protected nature areas, limiting use of this area., type: driver)
- River discharge - grid (Average flow of water through each grid cell., type: model (from/to model))
- Statistics on inundation depth - grid (Annual statistics of water depth in flooded areas of a grid cell., type: model (from/to model))
- Temperature - grid (Monthly average temperature., type: model (from/to model))