Soil erosion modelling: A global review and statistical analysis
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...
Published in: | Science of The Total Environment |
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Online Access: | http://hdl.handle.net/11568/1115150 https://doi.org/10.1016/j.scitotenv.2021.146494 |
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ftunivpisairis:oai:arpi.unipi.it:11568/1115150 2024-04-14T08:01:39+00:00 Soil erosion modelling: A global review and statistical analysis Borrelli P. Alewell C. Alvarez P. Anache J. A. A. Baartman J. Ballabio C. Bezak N. Biddoccu M. Cerda A. Chalise D. Chen S. Chen W. De Girolamo A. M. Gessesse G. D. Deumlich D. Diodato N. Efthimiou N. Erpul G. Fiener P. Freppaz M. Gentile F. Gericke A. Haregeweyn N. Hu B. Jeanneau A. Kaffas K. Kiani-Harchegani M. Villuendas I. L. Li C. Lombardo L. Lopez-Vicente M. Lucas-Borja M. E. Marker M. Matthews F. Miao C. Mikos M. Modugno S. Moller M. Naipal V. Nearing M. Owusu S. Panday D. Patault E. Patriche C. V. Poggio L. Portes R. Quijano L. Rahdari M. R. Renima M. Ricci G. F. Rodrigo-Comino J. Saia S. Samani A. N. Schillaci C. Syrris V. Kim H. S. Spinola D. N. Oliveira P. T. Teng H. Thapa R. Vantas K. Vieira D. Yang J. E. Yin S. Zema D. A. Zhao G. Panagos P. Borrelli, P. Alewell, C. Alvarez, P. Anache, J. A. A. Baartman, J. Ballabio, C. Bezak, N. Biddoccu, M. Cerda, A. Chalise, D. Chen, S. Chen, W. De Girolamo, A. M. Gessesse, G. D. Deumlich, D. Diodato, N. Efthimiou, N. Erpul, G. Fiener, P. Freppaz, M. Gentile, F. Gericke, A. Haregeweyn, N. Hu, B. Jeanneau, A. Kaffas, K. Kiani-Harchegani, M. Villuendas, I. L. Li, C. Lombardo, L. Lopez-Vicente, M. Lucas-Borja, M. E. Marker, M. Matthews, F. Miao, C. Mikos, M. Modugno, S. Moller, M. Naipal, V. Nearing, M. Owusu, S. Panday, D. Patault, E. Patriche, C. V. Poggio, L. Portes, R. Quijano, L. Rahdari, M. R. Renima, M. Ricci, G. F. 2021 STAMPA http://hdl.handle.net/11568/1115150 https://doi.org/10.1016/j.scitotenv.2021.146494 eng eng info:eu-repo/semantics/altIdentifier/pmid/33773346 info:eu-repo/semantics/altIdentifier/wos/WOS:000655705100008 volume:780 firstpage:146494 journal:SCIENCE OF THE TOTAL ENVIRONMENT http://hdl.handle.net/11568/1115150 doi:10.1016/j.scitotenv.2021.146494 info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85102969281 Erosion rate GIS Land degradation Land sustainability Modelling Policy support info:eu-repo/semantics/article 2021 ftunivpisairis https://doi.org/10.1016/j.scitotenv.2021.146494 2024-03-21T19:23:40Z 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. Article in Journal/Newspaper Antarc* Antarctica ARPI - Archivio della Ricerca dell'Università di Pisa Science of The Total Environment 780 146494 |
institution |
Open Polar |
collection |
ARPI - Archivio della Ricerca dell'Università di Pisa |
op_collection_id |
ftunivpisairis |
language |
English |
topic |
Erosion rate GIS Land degradation Land sustainability Modelling Policy support |
spellingShingle |
Erosion rate GIS Land degradation Land sustainability Modelling Policy support Borrelli P. Alewell C. Alvarez P. Anache J. A. A. Baartman J. Ballabio C. Bezak N. Biddoccu M. Cerda A. Chalise D. Chen S. Chen W. De Girolamo A. M. Gessesse G. D. Deumlich D. Diodato N. Efthimiou N. Erpul G. Fiener P. Freppaz M. Gentile F. Gericke A. Haregeweyn N. Hu B. Jeanneau A. Kaffas K. Kiani-Harchegani M. Villuendas I. L. Li C. Lombardo L. Lopez-Vicente M. Lucas-Borja M. E. Marker M. Matthews F. Miao C. Mikos M. Modugno S. Moller M. Naipal V. Nearing M. Owusu S. Panday D. Patault E. Patriche C. V. Poggio L. Portes R. Quijano L. Rahdari M. R. Renima M. Ricci G. F. Rodrigo-Comino J. Saia S. Samani A. N. Schillaci C. Syrris V. Kim H. S. Spinola D. N. Oliveira P. T. Teng H. Thapa R. Vantas K. Vieira D. Yang J. E. Yin S. Zema D. A. Zhao G. Panagos P. Soil erosion modelling: A global review and statistical analysis |
topic_facet |
Erosion rate GIS Land degradation Land sustainability Modelling Policy support |
description |
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. |
author2 |
Borrelli, P. Alewell, C. Alvarez, P. Anache, J. A. A. Baartman, J. Ballabio, C. Bezak, N. Biddoccu, M. Cerda, A. Chalise, D. Chen, S. Chen, W. De Girolamo, A. M. Gessesse, G. D. Deumlich, D. Diodato, N. Efthimiou, N. Erpul, G. Fiener, P. Freppaz, M. Gentile, F. Gericke, A. Haregeweyn, N. Hu, B. Jeanneau, A. Kaffas, K. Kiani-Harchegani, M. Villuendas, I. L. Li, C. Lombardo, L. Lopez-Vicente, M. Lucas-Borja, M. E. Marker, M. Matthews, F. Miao, C. Mikos, M. Modugno, S. Moller, M. Naipal, V. Nearing, M. Owusu, S. Panday, D. Patault, E. Patriche, C. V. Poggio, L. Portes, R. Quijano, L. Rahdari, M. R. Renima, M. Ricci, G. F. |
format |
Article in Journal/Newspaper |
author |
Borrelli P. Alewell C. Alvarez P. Anache J. A. A. Baartman J. Ballabio C. Bezak N. Biddoccu M. Cerda A. Chalise D. Chen S. Chen W. De Girolamo A. M. Gessesse G. D. Deumlich D. Diodato N. Efthimiou N. Erpul G. Fiener P. Freppaz M. Gentile F. Gericke A. Haregeweyn N. Hu B. Jeanneau A. Kaffas K. Kiani-Harchegani M. Villuendas I. L. Li C. Lombardo L. Lopez-Vicente M. Lucas-Borja M. E. Marker M. Matthews F. Miao C. Mikos M. Modugno S. Moller M. Naipal V. Nearing M. Owusu S. Panday D. Patault E. Patriche C. V. Poggio L. Portes R. Quijano L. Rahdari M. R. Renima M. Ricci G. F. Rodrigo-Comino J. Saia S. Samani A. N. Schillaci C. Syrris V. Kim H. S. Spinola D. N. Oliveira P. T. Teng H. Thapa R. Vantas K. Vieira D. Yang J. E. Yin S. Zema D. A. Zhao G. Panagos P. |
author_facet |
Borrelli P. Alewell C. Alvarez P. Anache J. A. A. Baartman J. Ballabio C. Bezak N. Biddoccu M. Cerda A. Chalise D. Chen S. Chen W. De Girolamo A. M. Gessesse G. D. Deumlich D. Diodato N. Efthimiou N. Erpul G. Fiener P. Freppaz M. Gentile F. Gericke A. Haregeweyn N. Hu B. Jeanneau A. Kaffas K. Kiani-Harchegani M. Villuendas I. L. Li C. Lombardo L. Lopez-Vicente M. Lucas-Borja M. E. Marker M. Matthews F. Miao C. Mikos M. Modugno S. Moller M. Naipal V. Nearing M. Owusu S. Panday D. Patault E. Patriche C. V. Poggio L. Portes R. Quijano L. Rahdari M. R. Renima M. Ricci G. F. Rodrigo-Comino J. Saia S. Samani A. N. Schillaci C. Syrris V. Kim H. S. Spinola D. N. Oliveira P. T. Teng H. Thapa R. Vantas K. Vieira D. Yang J. E. Yin S. Zema D. A. Zhao G. Panagos P. |
author_sort |
Borrelli P. |
title |
Soil erosion modelling: A global review and statistical analysis |
title_short |
Soil erosion modelling: A global review and statistical analysis |
title_full |
Soil erosion modelling: A global review and statistical analysis |
title_fullStr |
Soil erosion modelling: A global review and statistical analysis |
title_full_unstemmed |
Soil erosion modelling: A global review and statistical analysis |
title_sort |
soil erosion modelling: a global review and statistical analysis |
publishDate |
2021 |
url |
http://hdl.handle.net/11568/1115150 https://doi.org/10.1016/j.scitotenv.2021.146494 |
genre |
Antarc* Antarctica |
genre_facet |
Antarc* Antarctica |
op_relation |
info:eu-repo/semantics/altIdentifier/pmid/33773346 info:eu-repo/semantics/altIdentifier/wos/WOS:000655705100008 volume:780 firstpage:146494 journal:SCIENCE OF THE TOTAL ENVIRONMENT http://hdl.handle.net/11568/1115150 doi:10.1016/j.scitotenv.2021.146494 info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85102969281 |
op_doi |
https://doi.org/10.1016/j.scitotenv.2021.146494 |
container_title |
Science of The Total Environment |
container_volume |
780 |
container_start_page |
146494 |
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1796310050670641152 |