Linking an economic model for European agriculture with a mechanistic model to estimate nitrogen and carbon losses from arable soils in Europe

By Adrian Leip, G. Marchi, R. Koeble, M. Kempen, Wolfgang Britz, Changsheng Li. 2008

213 citations recorded by the source corpus.

Abstract. A comprehensive assessment of policy impact on greenhouse gas (GHG) emissions from agricultural soils requires careful consideration of both socio-economic aspects and the environmental heterogeneity of the landscape. We developed a modelling framework that links the large-scale economic model for agriculture CAPRI (Common Agricultural Policy Regional Impact assessment) with the biogeochemistry model DNDC (DeNitrification DeComposition) to simulate GHG fluxes, carbon stock changes and the nitrogen budget of agricultural soils in Europe. The framework allows the ex-ante simulation of agricultural or agri-environmental policy impacts on a wide range of environmental problems such as climate change (GHG emissions), air pollution and groundwater pollution. Those environmental impacts can be analyzed in the context of economic and social indicators as calculated by the economic model. The methodology consists of four steps: (i) definition of appropriate calculation units that can be considered as homogeneous in terms of economic behaviour and environmental response; (ii) downscaling of regional agricultural statistics and farm management information from a CAPRI simulation run into the spatial calculation units; (iii) designing environmental model scenarios and model runs; and finally (iv) aggregating results for interpretation. We show the first results of the nitrogen budget in croplands in fourteen countries of the European Union and discuss possibilities to improve the detailed assessment of nitrogen and carbon fluxes from European arable soils.

Subfields: Ecology, Environmental Chemistry, Soil Science

View Paper: https://www.semanticscholar.org/paper/fb1cd7a27d81322c9c654cc9ff1dc501c2d83a57

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Ecology

1. Tobias Kuemmerle
2. Christian Levers
3. Daniel Müller
4. Peter H. Verburg

In Soil Science

1. Daniel Müller
2. Peter H. Verburg
3. Davide Viaggi
4. Tobias Kuemmerle
5. Christian Levers
6. Van Butsic

Citations in the corpus

• Drivers of changes in agricultural intensity in Europe (2016, methodology): “To do so, we multiplied each raster with a continuouslyscaled raster representing the spatial coverage of each crop-type group (CAPRI-DynaSpat at 1km resolution for the year 2000; Leip et al., 2008).”
• Hotspots of land use change in Europe (2016, unknown): “We allocated cropland area ( i.e., arable land and permanent crops ) as well as meadows and pastures to the 3 × 3 km 2 gridcells using the CORINE cropland and the CAPRI-DynaSpat layers ( Leip et al 2008, Heckelei and Kempen 2011 ) as weights ( see supporting information ) .”
• European agricultural landscapes, common agricultural policy and ecosystem services: a review (2013, background): “…functions generalization of these relations and extrapolation to other areas is possible based on simulation models that describe the underlying processes, an example being the calculation of carbon sequestration or soil protection (Dendoncker et al. 2004; Freibauer et al. 2004; Leip et al. 2008).”