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to storm rainfall intensity, while SWAT was applied with the PROMES results to estimate changes to soil moisture and saturation deficit, as well as vegetation cover. The results from both models were used to generate scenarios of changes to storm intensity
for a set of storms. The results were evaluated at 2 spatial scales, that of fields (considering both (inter-) rill and gully erosion) and that of the entire catchment; and analyzed according to the dominant land-cover types in the catchments.

uses the runoff coefficient, QR, as an additional independent variable in order to develop an empirical model allowing prediction of storm soil loss values that do not necessarily increase with λ. This model allows Ae predictions that both increase

discontinuous within the catchment, both spatially and temporally. Soil loss differed significantly from event to event. Sediment delivery to the catchment outlet was determined to a great extent by the spatial distribution of land use, as well as by the poor

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