Browse data: Variable
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- Application (39)
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Showing below up to 31 results in range #1 to #31.
- 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)
- Biofuel policy (Policies to foster the use of biofuels in transport, such as financial incentives and biofuel mandates and obligations., type: driver)
- Capital supply (Capital available to replace depreciated stock and expand the stock to support economic growth., type: driver)
- Carbon pools in vegetation - grid (Carbon pools in leaves, stems, branches and roots)., 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))
- Erosion risk - grid (Risk of soil erosion caused by water., 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)
- GDP per capita (Gross Domestic Product per capita, measured as the market value of all goods and services produced in a region in a year, and is used in the IMAGE framework as a generic indicator of economic activity., type: driver)
- GDP per capita - grid (Scaled down GDP per capita from country to grid level, based on population density., type: driver)
- 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)
- Labour supply (Effective supply of labour input to support economic activities, taking into account the participation rate of age cohorts., 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 supply (Available land for agriculture, per grid or region, depending on suitability for crops, and excluding unsuitable areas such as steep slopes, wetlands and protected areas., 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))
- 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 (Number of people per region., 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))
- Technological change (crops and livestocks) (Increase in productivity in crop production (yield/ha) and livestock production (carcass weight, offtake rate)., type: driver)
- Temperature - grid (Monthly average temperature., type: model (from/to model))
- Timber demand (Demand for roundwood and pulpwood per region., type: driver)
- Trade policy (Assumed changes in market and non-market instruments that influence trade flows, subject to WTO rules and country and region regulation., type: driver)