Soil erosion modelling: A global review and statistical analysis
2021
Borrelli, Pasquale | Alewell, Christine | Álvarez, Pablo | Anache, Jamil Alexandre Ayach | Baartman, Jantiene | Ballabio, Cristiano | Bezak, Nejc | Biddoccu, Marcella | Cerdà, Artemio | Chalise, Devraj | Chen, Songchao | Chen, Walter | De Girolamo, Anna Maria | Gessesse, Gizaw Desta | Deumlich, Detlef | Diodato, Nazzareno | Efthimiou, Nikolaos | Erpul, Günay | 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 | Rodrigo-Comino, Jesús | Saia, Sergio | Samani, Aliakbar Nazari | Schillaci, Calogero | Syrris, Vasileios | Kim, Hyuck Soo | Spinola, Diogo Noses | Oliveira, Paulo Tarso | Teng, Hongfen | Thapa, Resham | Vantas, Konstantinos | Vieira, Diana | Yang, Jae E. | Yin, Shuiqing | Zema, Demetrio Antonio | Zhao, Guangju | Panagos, Panos
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.
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