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Updated: Jan 22, 2026

Measuring and Mapping Patterns of Soil Erosion and Deposition Related to Soil Carbonate Concentrations Under Agricultural Management
Published on: September 12, 2017
A data-driven indicator for assessing the evolving impact of the EU Common Agricultural Policy on soil erosion
Pasquale Borrelli1,2, Panos Panagos3
1Department of Science, Roma Tre University, Rome, 00154, Italy.
Abstract:
The data presented here correspond to the updated LAND Use and Management (LANDUM) model, a core component of the European Commission's RUSLE-based soil erosion risk assessment framework. LANDUM functions as a data-driven indicator for evaluating the effects of regional land use and agricultural management practices, including measures promoted under the Common Agricultural Policy, on soil erosion intensity at the NUTS2 level within the European Union. The approach relies on spatially explicit estimates of the cover-management (C) factor, a key component of the (R)USLE family of models. In the latest revision presented here, data from the 2023 EU Farm Structure Survey were incorporated to capture the extent of conservation practices such as reduced tillage, the use of cover crops, and the retention of crop residues. These data were processed to assess changes in the C-factor across Europe between 2016 and 2023. Collectively, the four versions of the LANDUM data-driven indicator here reported enable tracking of the European Union's (EU) Common Agricultural Policy (CAP) effects, from the no-management, pre-GAEC (Good Agricultural and Environmental Condition, introduced with the 2003 CAP reform) baseline in 2000 through the years 2010, 2016, and 2023. The insights gained from the data illustrate both overall and regional trends in how soil conservation measures promoted under the EU CAP contribute primarily to the mitigation of water-driven soil erosion, as well as to the reduction of wind erosion and other related soil degradation processes. These data can support further research in soil erosion and related fields and are available for reuse, reprocessing, or integration to enhance modelling applications that incorporate soil cover and management practices as input variables.
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