Authors
Pasquale Borrelli, David A Robinson, Panos Panagos, Emanuele Lugato, Jae E Yang, Christine Alewell, David Wuepper, Luca Montanarella, Cristiano Ballabio
Publication date
2020/9/8
Journal
Proceedings of the National Academy of Sciences
Volume
117
Issue
36
Pages
21994-22001
Publisher
National Academy of Sciences
Description
Soil erosion is a major global soil degradation threat to land, freshwater, and oceans. Wind and water are the major drivers, with water erosion over land being the focus of this work; excluding gullying and river bank erosion. Improving knowledge of the probable future rates of soil erosion, accelerated by human activity, is important both for policy makers engaged in land use decision-making and for earth-system modelers seeking to reduce uncertainty on global predictions. Here we predict future rates of erosion by modeling change in potential global soil erosion by water using three alternative (2.6, 4.5, and 8.5) Shared Socioeconomic Pathway and Representative Concentration Pathway (SSP-RCP) scenarios. Global predictions rely on a high spatial resolution Revised Universal Soil Loss Equation (RUSLE)-based semiempirical modeling approach (GloSEM). The baseline model (2015) predicts global potential soil …
Total citations
2020202120222023202421132286334174
Scholar articles
P Borrelli, DA Robinson, P Panagos, E Lugato… - Proceedings of the National Academy of Sciences, 2020