Browse data: Variable

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Showing below up to 25 results in range #1 to #25.

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  • 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)
  • BC, OC and NOx emissions (Emissions of BC, OC and NOx per year., type: model (from/to model))
  • Carbon pools in vegetation - grid (Carbon pools in leaves, stems, branches and roots)., 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))
  • Demand traditional biomass (Regional demand for traditional bioenergy., type: model (from/to model))
  • Energy resources (Volume of energy resource per carrier, region and supply cost class (determines depletion dynamics)., type: driver)
  • Food availability per capita (Food availability per capita., 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)
  • GINI coefficient (Measure of income disparity in a population. If all have the same income, GINI equals 1. The lower the GINI, the wider the gap between the lowest and highest income groups., 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)
  • 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 for bioenergy - grid (Land available for sustainable bioenergy production (abandoned agricultural land and non-forested land)., type: model (from/to model))
  • Learning rate (Determines the rate of technology development in learning equations., type: driver)
  • People dependent on solid fuel (Proportion of population using traditional biomass and coal for cooking and heating., 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))
  • Precipitation - grid (Monthly total precipitation., type: model (from/to model))
  • SO2 emissions (SO2 emissions, per source (e.g. fossil fuel burning, deforestation)., type: model (from/to model))
  • Technology development of energy supply (Learning curves and exogenous learning that determine technology development., type: driver)
  • Temperature - grid (Monthly average temperature., type: model (from/to model))
  • Timber demand (Demand for roundwood and pulpwood per region., type: driver)
  • Trade restriction (Trade tariffs and barriers limiting trade in energy carriers (in energy submodel)., type: driver)
  • Urban population fraction (Urban/rural split of population., type: driver)

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