作者: C. Bosco , D. de Rigo , O. Dewitte , J. Poesen , P. Panagos
DOI: 10.5194/NHESS-15-225-2015
关键词:
摘要: Abstract. Soil erosion by water is one of the most widespread forms soil degradation. The loss as a result can lead to decline in organic matter and nutrient contents, breakdown structure reduction water-holding capacity. Measuring across whole landscape impractical thus research needed improve methods estimating with computational modelling, upon which integrated assessment mitigation strategies may be based. Despite efforts, prediction value existing models still limited, especially at regional continental scale, because systematic knowledge local climatological parameters often unavailable. A new approach for modelling scale here proposed. It based on joint use low-data-demanding innovative techniques better model inputs. proposed architecture has its basis semantic array programming paradigm strong effort towards reproducibility. An extended version Revised Universal Loss Equation (RUSLE) been implemented merging different empirical rainfall-erosivity equations within climatic ensemble adding factor consideration stoniness model. Pan-European rates have estimated through publicly available data sets locally reliable relationships. accuracy results corroborated visual plausibility check (63% random sample grid cells are accurate, 83% least moderately bootstrap p ≤ 0.05). comparison country-level statistics pre-existing European maps also provided.