Christine Alewell

TL;DR: An unprecedentedly high resolution global potential soil erosion model is presented, using a combination of remote sensing, GIS modelling and census data, that indicates a potential overall increase in global soil erosion driven by cropland expansion.

TL;DR: In this article, a modified version of the Revised Universal Soil Loss Equation (RUSLE) model was used to estimate soil loss in Europe for the reference year 2010, within which the input factors (Rainfall erosivity, Soil erodibility, Cover-Management, Topography, Support practices) were modelled with the most recently available pan-European datasets.

TL;DR: In this paper, the authors proposed 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.

TL;DR: The latest projections of climate and land use change are used to assess potential global soil erosion rates by water to address policy questions and provide insight into the potential mitigating effects attributable to conservation agriculture and the need for more effective policy instruments for soil protection.

TL;DR: The erosivity density (erosivity normalised to annual precipitation amounts) was the highest in Mediterranean regions which implies high risk for erosive events and floods, and Gaussian Process Regression has been used to interpolate the R-factor station values to a European rainfall erOSivity map at 1 km resolution.