Browse data: Variable

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

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  • Actual crop and grass production - grid (Actual crop and grass production on agricultural land, based on potential yield and management intensity, type: model (from/to model))
  • Animal stocks (Number of animals per category: non-dairy cattle; dairy cattle; pigs; sheep and goats; poultry., type: model (from/to model))
  • Bioenergy production (Total bioenergy production., type: model (from/to model))
  • 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))
  • Fertiliser use efficiency (Ratio of fertiliser uptake by a crop to fertiliser applied., type: driver)
  • 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)
  • Irrigation system (Type of irrigation system: surface, sprinkler or drip. This is allocated at country level, based on Jagermeyr et al (2015)., 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))
  • Livestock rations (Determines the feed requirements per feed type (food crops; crop residues; grass and fodder; animal products; scavenging), specified per animal type and production system (extensive/intensive/backyard/intermediate/intensive/broiler/laying hens)., 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))
  • Manure spreading fraction (Fraction of manure produced in staples that is spread on agricultural areas., type: driver)
  • Nitrogen deposition - grid (Deposition of nitrogen., 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))
  • Production system mix (Livestock production is distributed over two systems for dairy and beef production (intensive: mixed and industrial; extensive: pastoral grazing), and to three systems for pigs (backyard, intermediate, intensive) and poultry (backyard, boilers, laying hens) with specific intensities, rations and feed conversion ratios., type: driver)
  • 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))

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