Browse data: Variable
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Is input for: Is output of: (Click arrow to add another value) Showing below up to 18 results in range #1 to #18.
- 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))
- Crop irrigation water demand - grid (Water requirements for crop irrigation, calculated as daily moisture deficit during the growing season., type: model (from/to model))
- Environmental flow requirements - grid (Percentage of natural flow reserved for the environment. Determined according to the Variable Monthly Flow method developed in Pastor et al., 2014, type: model (end-indicator))
- Irrigation water consumption - grid (Water consumed through irrigation; equal to irrigation water withdrawal minus water lost during transport, depending on the conveyance efficiency., type: model (end-indicator))
- Irrigation water withdrawal - grid (Water withdrawn for irrigation, not necessarily equal to the withdrawal demand, because of limited water availability in rivers, lakes, reservoirs and other sources., type: model (from/to model))
- Land 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: model (from/to model))
- Land systems - grid (Thirty land systems as defined in CLUMondo, characterized by specific levels of built-up area, cropland area, livestock density and management intensity., type: model (from/to model))
- Number of people at risk of severe water stress - grid (Basins with ratios above 0.4 are considered to be severely water stressed. Using the projected population in each grid cell, the number of people at severe risk of water stress is determined, type: model (end-indicator))
- Potential bioenergy yield - grid (Potential yields of bioenergy crops., type: model (from/to model))
- 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))
- Rainwater consumption - grid (Rain water consumption by crops., type: model (end-indicator))
- Regression parameters (Regression parameters of suitability assessment., type: external parameter)
- River discharge - grid (Average flow of water through each grid cell., type: model (from/to model))
- Transgression of environmental flows - grid (Deficit on environmental flow requirements, based on monthly discharge values, type: model (end-indicator))
- Water consumption other sectors - grid (Total annual and monthly water consumption for households, industry and electricity. Consumption is defined as the total withdrawals minus the return flows, type: model (end-indicator))
- Water stress - basin (Water stress is a basin scale indicator of the mean annual water demand to availability ratio. This ratio gives an indication for the level of water stress experienced in the basin., type: model (end-indicator))
- Water stress - grid (Water stress is a basin scale indicator of the mean annual water demand to availability ratio. This ratio gives an indication for the level of water stress experienced in the basin. Basins with a water demand to availability ratio above 0.2 are considered medium water stressed, basins with ratios above 0.4 are severely water stressed., type: model (end-indicator))
- Water withdrawal other sectors - grid (Total annual and monthly water withdrawal for households, industry and electricity. Not necessarily equal to the withdrawal demand, due to limited water availability., type: model (from/to model))