Title: Development of marginal emission factors for N losses from agricultural soils with the DNDC¿CAPRI meta-model
Authors: BRITZ WolfgangLEIP Adrian
Citation: AGRICULTURE ECOSYSTEMS & ENVIRONMENT vol. 133 p. 267-279
Publication Year: 2009
JRC N°: JRC52813
ISSN: 0167-8809
URI: http://www.elsevier.com/locate/agee
DOI: 10.1016/j.agee.2009.04.026
Type: Articles in periodicals and books
Abstract: The article discusses marginal emission factors for N losses from agricultural soils, with rape and wheat as examples, and presents results for EU15 as high-resolution maps and aggregated to Member State level. The results are generated by linking the economic model for the agricultural sector CAPRI (Common Agricultural Policy Regional Impact) with spatial down-scaling, and a statistical meta-model for the bio-physical model DNDC (DeNitrification¿DeComposition). For a given agro-economic scenario, CAPRI supplies, for each crop, the crop share, yield and fertilizer application rate spatially downscaled to clusters of 1 km x 1 km grid cells. The results from CAPRI are processed by a meta-model of DNDC to estimate the local greenhouse gas emissions from the soil. DNDC is a dynamic process-oriented model, which estimates trace gas fluxes and nutrient turnover in agricultural soils. The fit of the regressions is typically very good (ca. 0.95R2 for themajority of the regressions), and all coefficients are significant at 99% probability. The meta-model allows a seamless integration between the economic and the bio-physical models, offering additional benefit such as the site-specific calibration of the bio-physical model ensuring the match between simulated and observed yield at the grid-level. The meta-model is used to calculate marginal emission factors for a 1 kg ha1 increase of mineral N and manure fertilizer rates for rape and wheat, at different levels of fertilization. They show that for Western European farming practice, only a small fraction of extra nitrogen fertilizer would go into increased yields: most of it would be emitted to the environment. The largest spatial variability is observed for N2O emissions. The derivation ofmarginal emission factors is just one of themany possible uses for the linked regionalized agro-economic and soil chemistry model, which exploits to a large extent both geo-referenced and regionally available statistical information at European scale.
JRC Directorate:Sustainable Resources

Files in This Item:
There are no files associated with this item.

Items in repository are protected by copyright, with all rights reserved, unless otherwise indicated.