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Soil erodibility estimation using LUCAS point survey data of Europe
JournalArticle (Originalarbeit in einer wissenschaftlichen Zeitschrift)
 
ID 994236
Author(s) Panagos, P.; Meusburger, K.; Alewell, C.; Montanarella, L.
Author(s) at UniBasel Di Bella, Katrin
Alewell, Christine
Panagos, Panagiotis
Year 2012
Title Soil erodibility estimation using LUCAS point survey data of Europe
Journal Environmental modelling and software
Volume 30
Pages / Article-Number 143-145
Keywords Soil erodibility, K-factor, LUCAS, Erosion modelling, USLE
Abstract Modelling soil erosion is mostly hampered by low data availability, particularly of soil parameters. One key parameter for soil erosion modelling is the soil erodibility, expressed as the K-factor in the commonly used soil erosion model USLE (Universal Soil Loss Equation). The K-factor is related to crucial soil factors triggering erosion (organic matter content, soil texture, soil structure, permeability). We calculated soil erodibility using measured soil data, collected during the 2009 LUCAS (Land Use and Cover Area frame Survey) soil survey campaign across the member states of the European Union. The soil erodibility dataset overcomes the problems of limited data availability for K-factor assessment and presents a high quality resource for modellers who aim at soil erosion estimation on local/regional, national or European scale. (C) 2011 Elsevier Ltd. All rights reserved.
Publisher Elsevier
ISSN/ISBN 1364-8152
edoc-URL http://edoc.unibas.ch/dok/A6001585
Full Text on edoc No
Digital Object Identifier DOI 10.1016/j.envsoft.2011.11.002
ISI-Number WOS:000300266200013
Document type (ISI) Article
 
   

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