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dc.contributor.authorPANAGOS Panagiotisen_GB
dc.contributor.authorBORRELLI PASQUALEen_GB
dc.contributor.authorMEUSBURGER Katrinen_GB
dc.contributor.authorALEWELL Christineen_GB
dc.contributor.authorLUGATO EMANUELEen_GB
dc.contributor.authorMONTANARELLA Lucaen_GB
dc.date.accessioned2015-09-09T00:07:01Z-
dc.date.available2015-05-26en_GB
dc.date.available2015-09-09T00:07:01Z-
dc.date.created2015-05-26en_GB
dc.date.issued2015en_GB
dc.date.submitted2014-12-04en_GB
dc.identifier.citationLAND USE POLICY vol. 48 p. 38-50en_GB
dc.identifier.issn0264-8377en_GB
dc.identifier.urihttp://www.sciencedirect.com/science/article/pii/S0264837715001611en_GB
dc.identifier.urihttp://publications.jrc.ec.europa.eu/repository/handle/JRC93276-
dc.description.abstractLand use and management influence the magnitude of soil loss. Among the different soil erosion risk factors, the cover-management factor (C-factor) is the one that policy makers and farmers can most readily influence in order to help reduce soil loss rates. The present study proposes a methodology for estimating the C-factor in the European Union (EU), using pan-European datasets (such as CORINE Land Cover), biophysical attributes derived from remote sensing, and statistical data on agricultural crops and practices. In arable lands, the C-factor was estimated using crop statistics (% of land per crop) and data on management practices such as conservation tillage, plant residues and winter crop cover. The C-factor in non-arable lands was estimated by weighting the range of literature values found according to fractional vegetation cover, which was estimated based on the remote sensing dataset Fcover. The mean C-factor in the EU is estimated to be 0.1043, with an extremely high variability; forests have the lowest mean C-factor (0.00116), and arable lands and sparsely vegetated areas the highest (0.233 and 0.2651 respectively). Conservation management practices (reduced/no tillage, use of cover crops and plant residues) reduce the C-factor by on average 19.1% in arable lands. The methodology is designed to be a tool for policy makers to assess the effect of future land use and crop rotation scenarios on soil erosion by water. The impact of land use changes (deforestation, arable land expansion) and the effect of policies (such as the Common Agricultural Policy and the push to grow more renewable energy crops) can potentially be quantified with the proposed model. The C-factor data and the statistical input data used are available from the European Soil Data Centre.en_GB
dc.description.sponsorshipJRC.H.5-Land Resources Managementen_GB
dc.format.mediumPrinteden_GB
dc.languageENGen_GB
dc.publisherELSEVIER SCI LTDen_GB
dc.relation.ispartofseriesJRC93276en_GB
dc.titleEstimating the soil erosion cover-management factor at the European scaleen_GB
dc.typeArticles in periodicals and booksen_GB
dc.identifier.doi10.1016/j.landusepol.2015.05.021en_GB
JRC Directorate:Sustainable Resources

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