Browse data: Variable
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- Application (39)
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Showing below up to 24 results in range #1 to #24.
- Agricultural land use suitability - grid (Suitability of land in a grid cell for agriculture and forestry, as a function of accessibility, population density, slope and potential crop yields., type: external parameter)
- Bioenergy production (Total bioenergy production., type: model (from/to model))
- CO2 concentration (Atmospheric CO2 concentration., type: model (from/to model))
- Carbon pools in vegetation - grid (Carbon pools in leaves, stems, branches and roots)., type: model (from/to model))
- Change in soil properties - grid (Change in soil properties, such as clay/sand content, organic carbon content, soil depth (topsoil/subsoil)., 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))
- Demand traditional biomass (Regional demand for traditional bioenergy., type: model (from/to model))
- Forest plantation demand (Demand for forest plantation area., type: driver)
- Fraction of selective logging (The fraction of forest harvested in a grid, in clear cutting, selective cutting, wood plantations and additional deforestation. Fraction of selective cut determines the fraction of timber harvested by selective cutting of trees in semi-natural and natural forest., 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))
- Harvest efficiency (Fraction of harvested wood used as product, the remainder being left as residues. Specified per biomass pool and forestry management type., type: driver)
- Increase in irrigated area - grid (Increase in irrigated area, often based on external projections (e.g., FAO)., type: driver)
- Irrigation water supply - grid (Water supplied to irrigated fields; equal to irrigation water withdrawal minus water lost during transport, depending on the conveyance efficiency., type: model (from/to model))
- 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))
- 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))
- Number of wet days - grid (Number of days with a rain event, per month; assumed constant after the historical period, type: historical data)
- 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))
- Temperature - grid (Monthly average temperature., type: model (from/to model))
- Timber demand (Demand for roundwood and pulpwood per region., type: driver)