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Soil erosion modelling: A global review and statistical analysis

Borrelli, P.; Alewell, C.; Alvarez, Pablo; Anache, J. A. A.; Baartman, J.; Ballabio, C.; Bezak, N.; Biddoccu, M.; Cerdà, A.; Chalise, D.; Chen, S.; Chen, W.; De Girolamo, A. M.; Gessesse, G. D.; Deumlich, D.; Diodato, N.; Efthimiou, N.; Erpul, G.; Fiener, P.; ... mehr


To gain a better understanding of the global application of soil erosion prediction models, we comprehensivelyreviewed relevant peer-reviewed research literature on soil-erosion modelling published between 1994 and2017. We aimed to identify (i) the processes and models most frequently addressed in the literature, (ii) the re-gions 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 per-form this task, we combined the collective knowledge of 67 soil-erosion scientists from 25 countries. Theresulting database, named‘Global Applications of Soil Erosion Modelling Tracker (GASEMT)’, includes 3030 indi-vidual modelling records from 126 countries, encompassing all continents (except Antarctica). Out of the 8471articles identified as potentially relevant, we reviewed 1697 appropriate articles and systematically evaluatedand transferred 42 relevant attributes into the database. This GASEMT database provides comprehensive insightsinto the state-of-the-art of soil- erosion models and model applications worldwide. ... mehr

Verlagsausgabe §
DOI: 10.5445/IR/1000131052
Veröffentlicht am 01.04.2021
DOI: 10.1016/j.scitotenv.2021.146494
Zitationen: 290
Zitationen: 318
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Geographie und Geoökologie (IFGG)
KIT-Zentrum Klima und Umwelt (ZKU)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2021
Sprache Englisch
Identifikator ISSN: 0048-9697, 1879-1026
KITopen-ID: 1000131052
Erschienen in Science of the Total Environment
Verlag Elsevier
Band 780
Seiten Art.-Nr.: 146494
Schlagwörter Erosion rates; Modelling; GIS; Land sustainability; Land degradation; Policy support
Nachgewiesen in Web of Science
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