Browse data: Variable
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Is input for: (Click arrow to add another value) Showing below up to 28 results in range #1 to #28.
- 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))
- CO2 concentration (Atmospheric CO2 concentration., type: model (from/to model))
- Carbon price (Carbon price on the international trading market (in USD in 2005 per tonne C-eq) calculated from aggregated regional permit demand and supply curves derived from marginal abatement costs., type: model (from/to model))
- Change in soil properties - grid (Change in soil properties, such as clay/sand content, organic carbon content, soil depth (topsoil/subsoil)., type: model (from/to model))
- Cloudiness - grid (Percentage of cloudiness per month; assumed constant after the historical period, type: historical data)
- Energy resources (Volume of energy resource per carrier, region and supply cost class (determines depletion dynamics)., type: driver)
- Fertiliser use efficiency (Ratio of fertiliser uptake by a crop to fertiliser applied., 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)
- Irrigation water supply - grid (Water supplied to irrigated fields; equal to irrigation water withdrawal minus water lost during transport, depending on the conveyance efficiency., type: model (from/to model))
- 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))
- Lifestyle parameters (Lifestyle parameters influence the relationship between economic activities and demand for energy., type: driver)
- 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))
- Number of wet days - grid (Number of days with a rain event, per month; assumed constant after the historical period, type: historical data)
- Population (Number of people per region., type: driver)
- Population - grid (Number of people per gridcell (using downscaling)., type: driver)
- Precipitation - grid (Monthly total precipitation., type: model (from/to model))
- Private consumption (Private consumption reflects expenditure on private household consumption. It is used in IMAGE as a driver of energy., type: driver)
- 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)
- Sector value added (Value Added for economic sectors: Industry (IVA), Services (SVA) and Agriculture (AVA). These variables are used in IMAGE to indicate economic activity., type: driver)
- Technology development of energy conversion (Learning curves and exogenous learning that determine technology development., type: driver)
- 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))