Browse data: Variable

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Showing below up to 22 results in range #1 to #22.

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  • Bioenergy production (Total bioenergy production., type: model (from/to model))
  • 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)
  • Crop irrigation water demand - grid (Water requirements for crop irrigation, calculated as daily moisture deficit during the growing season., type: model (from/to model))
  • Crop production (Regional production per crop., type: model (from/to model))
  • 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)
  • 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)
  • Irrigation system (Type of irrigation system: surface, sprinkler or drip. This is allocated at country level, based on Jagermeyr et al (2015)., 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))
  • 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 (Number of people per region., type: driver)
  • 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))
  • 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))
  • 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)

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