Soil erosion modelling: A global review and statistical analysis

• Published in: Science of The Total Environment
• Main Authors: Borrelli, Pasquale, Alewell, Christine, Alvarez, Pablo, Anache, Jamil Alexandre Ayach, Baartman, Jantiene, Ballabio, Cristiano, Bezak, Nejc, Biddoccu, Marcella, Cerdà, Artemi, Chalise, Devraj, Chen, Songchao, Chen, Walter, de Girolamo, Anna Maria, Gessesse, Gizaw Desta, Deumlich, Detlef, Diodato, Nazzareno, Efthimiou, Nikolaos, Erpul, Gunay, Fiener, Peter, Freppaz, Michele, Gentile, Francesco, Gericke, Andreas, Haregeweyn, Nigussie, Hu, Bifeng, Jeanneau, Amelie, Kaffas, Konstantinos, Kiani-Harchegani, Mahboobeh, Villuendas, Ivan Lizaga, Li, Changjia, Lombardo, Luigi, López-Vicente, Manuel, Lucas-Borja, Manuel Esteban, Märker, Michael, Matthews, Francis, Miao, Chiyuan, Mikoš, Matjaž, Modugno, Sirio, Möller, Markus, Naipal, Victoria, Nearing, Mark, Owusu, Stephen, Panday, Dinesh, Patault, Edouard, Patriche, Cristian Valeriu, Poggio, Laura, Portes, Raquel, Quijano, Laura, Rahdari, Mohammad Reza, Renima, Mohammed, Ricci, Giovanni Francesco
• Other Authors: Dipartimento di Scienze della Terra e dell'Ambiente Pavia, Università degli Studi di Pavia = University of Pavia (UNIPV), Department of Earth Sciences Basel, University of Basel (Unibas), Kangwon National University, Karlruhe Institute of Technology, National University of Loja, Sao Carlos School of engineering São Paulo, Universidade de São Paulo = University of São Paulo (USP), Universidade Federal de Mato Grosso do Sul (UFMS), Wageningen University and Research Wageningen (WUR), European Commission - Joint Research Centre Ispra (JRC), University of Ljubljana, Institute of Sciences and Technologies for Sustainable Energy and Mobility ( (STEMS)), National Research Council of Italy, Soil erosion and Degradation Research Group, Universitat de València (UV), School of Environmental and Rural Science, University of New England (UNE), InfoSol (InfoSol), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), National Taipei University of technology Taipei (TAIPEI TECH), National Taipei University of Technology, Water Research Institute (IRSA), National Research Council (CNR), International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Leibniz-Center for Agricultural Landscape Research Muencheberg (ZALF), Met European Research Observatory (MetEROBS), Czech University of Life Sciences Prague (CZU), Faculty of Agriculture - Department of Soil Science and Plant Nutrition - Ankara University, Universität Augsburg Augsburg, UNIVERSITY OF TURIN DEPARTMENT OF AGRICULTURAL FOREST AND FOOD SCIENCES TURIN ITA, Partenaires IRSTEA, Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), Università degli studi di Bari Aldo Moro = University of Bari Aldo Moro (UNIBA), Leibniz Institute of Freshwater Ecology and Inland Fisheries (IGB), Tottori University, Unité de Science du Sol (Orléans) (URSols), Université d'Orléans (UO), University of Adelaide, Faculty of Science and Technology, Free University of Bozen-Bolzano, Yazd University, Spanish National Research Council (CSIC), State Key Laboratory of Earth Surface Processes and Resource Ecology (ESPRE), Beijing Normal University (BNU), Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Wageningen Environmental Research (Alterra), Universidad de Castilla-La Mancha = University of Castilla-La Mancha (UCLM), World Food Programme (WFP), United Nations
• Format: Article in Journal/Newspaper
• Language: English
• Published: HAL CCSD 2021
• Subjects: Erosion rates; Modelling; GIS; Land sustainability; Land degradation; Policy support; [SDV.SA.SDS]Life Sciences [q-bio]/Agricultural sciences/Soil study; Antarc*; Antarctica
• Online Access: https://hal.inrae.fr/hal-03481665; https://doi.org/10.1016/j.scitotenv.2021.146494

(IF 10.75; Q1) International audience To gain a better understanding of the global application of soil erosion prediction models, we comprehensively reviewed relevant peer-reviewed research literature on soil-erosion modelling published between 1994 and 2017. We aimed to identify (i) the processes and models most frequently addressed in the literature, (ii) the regions within which models are primarily applied, (iii) the regions which remain unaddressed and why, and (iv) how frequently studies are conducted to validate/evaluate model outcomes relative to measured data. To perform this task, we combined the collective knowledge of 67 soil-erosion scientists from 25 countries. The resulting database, named ‘Global Applications of Soil Erosion Modelling Tracker (GASEMT)’, includes 3030 individual modelling records from 126 countries, encompassing all continents (except Antarctica). Out of the 8471 articles identified as potentially relevant, we reviewed 1697 appropriate articles and systematically evaluated and transferred 42 relevant attributes into the database. This GASEMT database provides comprehensive insights into the state-of-the-art of soil- erosion models and model applications worldwide. This database intends to support the upcoming country-based United Nations global soil-erosion assessment in addition to helping to inform soil erosion research priorities by building a foundation for future targeted, in-depth analyses. GASEMT is an open-source database available to the entire user-community to develop research, rectify errors, and make future expansions.