Browse data: Variable
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Is input for: (Click arrow to add another value) Showing below up to 21 results in range #1 to #21.
- Bioenergy production (Total bioenergy production., type: model (from/to model))
- Crop production (Regional production per crop., type: model (from/to model))
- Demand for primary energy (Total demand for energy production. Sum of final energy demand and energy inputs into energy conversion processes., type: model (from/to model))
- Energy resources (Volume of energy resource per carrier, region and supply cost class (determines depletion dynamics)., 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 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: model (from/to model))
- Land supply for bioenergy - grid (Land available for sustainable bioenergy production (abandoned agricultural land and non-forested land)., type: model (from/to model))
- Land systems - grid (Thirty land systems as defined in CLUMondo, characterized by specific levels of built-up area, cropland area, livestock density and management intensity., type: model (from/to model))
- Learning rate (Determines the rate of technology development in learning equations., type: driver)
- 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))
- Population - grid (Number of people per gridcell (using downscaling)., type: driver)
- Potential bioenergy yield - grid (Potential yields of bioenergy crops., type: model (from/to model))
- 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))
- Protected area - grid (Map of protected nature areas, limiting use of this area., type: driver)
- Regression parameters (Regression parameters of suitability assessment., type: external parameter)
- River discharge - grid (Average flow of water through each grid cell., type: model (from/to model))
- Technology development of energy supply (Learning curves and exogenous learning that determine technology development., type: driver)
- Trade restriction (Trade tariffs and barriers limiting trade in energy carriers (in energy submodel)., type: driver)
- Water stress - grid (Water stress is a basin scale indicator of the mean annual water demand to availability ratio. This ratio gives an indication for the level of water stress experienced in the basin. Basins with a water demand to availability ratio above 0.2 are considered medium water stressed, basins with ratios above 0.4 are severely water stressed., type: model (end-indicator))