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Tools for USLE-CP-factor calculation and actual erosion risk on field block level for Switzerland

The calculation of the cover management factor (C-factor) and support practices factor (P-factor) is an important element in the Universal Soil Loss Equation (USLE). In Switzerland, a potential soil erosion risk map of arable land and a field block map that represents the basis of the agriculturally...

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Detalles Bibliográficos
Autores principales: Bircher, P., Liniger, H.P., Kupferschmied, P., Prasuhn, V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8720800/
https://www.ncbi.nlm.nih.gov/pubmed/35004203
http://dx.doi.org/10.1016/j.mex.2021.101569
Descripción
Sumario:The calculation of the cover management factor (C-factor) and support practices factor (P-factor) is an important element in the Universal Soil Loss Equation (USLE). In Switzerland, a potential soil erosion risk map of arable land and a field block map that represents the basis of the agriculturally used areas in the country are available. A CP-factor tool was developed adapted to Swiss agronomic and environmental conditions, which allows to calculate CP-factors easily for various crop rotations and management practices. The calculated CP-factor values can be linked to any field block in the potential soil erosion risk map to determine the actual soil erosion risk for the field block. A plausibility check with other C-factor tools showed a sound match. This user-friendly calculation makes the CP-Tool and the actual erosion risk more accessible for authorities and GIS users. With Python and QGIS as open source resources, it is also possible to easily improve the tools. Linking the two tools provides substantial added value for education and training, advising farmers and policy, as well as scientific research, and can serve as a reference for other countries. • USLE-CP-factor and actual erosion risk calculation on small scale field block level. • Developed and programmed based on open source resources for further improvements. • Both tools increase the knowledge of management practices for GIS- and non GIS users.