@article{8772144,
  abstract     = {{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. (c) 2021 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license (http:// creativecommons.org/licenses/by/4.0/).}},
  articleno    = {{146494}},
  author       = {{Borrelli, Pasquale and Alewell, Christine and Alvarez, Pablo and Ayach Anache, Jamil Alexandre and Baartman, Jantiene and Ballabio, Cristiano and Bezak, Nejc and Biddoccu, Marcella and Cerda, Artemi and Chalise, Devraj and Chen, Songchao and Chen, Walter and De Girolamo, Anna Maria and Gessesse, Gizaw Desta and Deumlich, Detlef and Diodato, Nazzareno and Efthimiou, Nikolaos and Erpul, Gunay and Fiener, Peter and Freppaz, Michele and Gentile, Francesco and Gericke, Andreas and Haregeweyn, Nigussie and Hu, Bifeng and Jeanneau, Amelie and Kaffas, Konstantinos and Kiani-Harchegani, Mahboobeh and Lizaga Villuendas, Ivan and Li, Changjia and Lombardo, Luigi and Lopez-Vicente, Manuel and Esteban Lucas-Borja, Manuel and Marker, Michael and Matthews, Francis and Miao, Chiyuan and Mikos, Matjaz and Modugno, Sirio and Moeller, Markus and Naipal, Victoria and Nearing, Mark and Owusu, Stephen and Panday, Dinesh and Patault, Edouard and Patriche, Cristian Valeriu and Poggio, Laura and Portes, Raquel and Quijano, Laura and Rahdari, Mohammad Reza and Renima, Mohammed and Ricci, Giovanni Francesco and Rodrigo-Comino, Jesus and Saia, Sergio and Samani, Aliakbar Nazari and Schillaci, Calogero and Syrris, Vasileios and Kim, Hyuck Soo and Spinola, Diogo Noses and Oliveira, Paulo Tarso and Teng, Hongfen and Thapa, Resham and Vantas, Konstantinos and Vieira, Diana and Yang, Jae E. and Yin, Shuiqing and Zema, Demetrio Antonio and Zhao, Guangju and Panagos, Panos}},
  issn         = {{0048-9697}},
  journal      = {{SCIENCE OF THE TOTAL ENVIRONMENT}},
  keywords     = {{LAND-USE CHANGE,WIND EROSION,SEDIMENT YIELD,WATER EROSION,SENSITIVITY,SCALE,SUSCEPTIBILITY,LIMITATIONS,ANSWERS,SCIENCE,Erosion rates,Modelling,GIS,Land sustainability,Land degradation,Policy support}},
  language     = {{eng}},
  pages        = {{18}},
  title        = {{Soil erosion modelling : a global review and statistical analysis}},
  url          = {{http://doi.org/10.1016/j.scitotenv.2021.146494}},
  volume       = {{780}},
  year         = {{2021}},
}

Altmetric

View in Altmetric

Web of Science

Times cited: