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EU Wide Disaggregated CAPRI Model Data: Crops, Livestock, Nitrogen In- and Outputs (Timeseries 2000-2018).

Renate Koeble1, Adrian Leip2, Markus Kempen3

  • 1ARHS Developments S.A., 4370, Belvaux, Luxembourg. renate.koeble@ext.ec.europa.eu.

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Summary
This summary is machine-generated.

This study presents detailed European agri-environmental data from 2000-2018, using the Common Agricultural Policy Regionalised Impact (CAPRI) model. These spatially disaggregated datasets aid in analyzing agricultural, environmental, and climate change policy impacts.

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Area of Science:

  • Agricultural Economics
  • Environmental Science
  • Climate Change Policy Analysis

Background:

  • Assessing the impacts of agricultural, environmental, and climate change policies requires detailed regional data.
  • Existing models often operate at broader scales, limiting granular analysis of agri-environmental variables.
  • A need exists for harmonized, spatially explicit datasets to support policy evaluation and modeling.

Purpose of the Study:

  • To present spatially disaggregated agri-environmental variables for Europe from 2000 to 2018.
  • To provide a harmonized and spatially consistent dataset for analyzing policy impacts.
  • To offer data inputs for nitrogen budget calculations and biogeochemical/land management models.

Main Methods:

  • Utilized the Common Agricultural Policy Regionalised Impact (CAPRI) model.
  • Spatially disaggregated data to 'Farm Structure Units' from NUTS2 regional level.
  • Compiled time-series data (2000-2018) on crop types, livestock, and nitrogen parameters.

Main Results:

  • Generated spatially explicit layers of agri-environmental variables.
  • Dataset includes crop area/yield, livestock totals/densities, and nitrogen application/loss parameters.
  • Data is harmonized and spatially consistent across the European study area.

Conclusions:

  • The presented dataset offers valuable insights into European agri-environmental dynamics.
  • Facilitates detailed analysis of agricultural, environmental, and climate change policy effects.
  • Supports advanced modeling for nitrogen management and land use studies.