Soil erosion modelling
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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Language: | English |
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Elsevier
2021
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ftuniljubljanair:oai:repozitorij.uni-lj.si:IzpisGradiva.php-id-127272 2023-05-15T13:34:59+02:00 Soil erosion modelling Borrelli, Pasquale Ballabio, Cristiano Bezak, Nejc Miao, Chiyuan Mikoš, Matjaž Panagos, Panos 2021-06-01 text/url application/pdf https://repozitorij.uni-lj.si/IzpisGradiva.php?id=127272 https://repozitorij.uni-lj.si/Dokument.php?id=143589&dn= https://repozitorij.uni-lj.si/Dokument.php?id=143590&dn= https://repozitorij.uni-lj.si/Dokument.php?id=143591&dn= https://plus.si.cobiss.net/opac7/bib/57066755?lang=sl eng eng Elsevier info:eu-repo/semantics/altIdentifier/doi/10.1016/j.scitotenv.2021.146494 https://repozitorij.uni-lj.si/IzpisGradiva.php?id=127272 https://repozitorij.uni-lj.si/Dokument.php?id=143589&dn= https://repozitorij.uni-lj.si/Dokument.php?id=143590&dn= https://repozitorij.uni-lj.si/Dokument.php?id=143591&dn= https://plus.si.cobiss.net/opac7/bib/57066755?lang=sl http://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess CC-BY Science of the total environment, no. 780/146494, pp. 1-18, 2021. ISSN: 0048-9697 erosion rates modelling GIS land sustainability land degradation policy support erozija modeliranje tla analize pregled info:eu-repo/classification/udc/502/504:556 info:eu-repo/semantics/report info:eu-repo/semantics/publishedVersion 2021 ftuniljubljanair https://doi.org/10.1016/j.scitotenv.2021.146494 2021-12-06T09:44:32Z 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. Report Antarc* Antarctica Repository of the University of Ljubljana (RUL) Science of The Total Environment 780 146494 |
institution |
Open Polar |
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Repository of the University of Ljubljana (RUL) |
op_collection_id |
ftuniljubljanair |
language |
English |
topic |
erosion rates modelling GIS land sustainability land degradation policy support erozija modeliranje tla analize pregled info:eu-repo/classification/udc/502/504:556 |
spellingShingle |
erosion rates modelling GIS land sustainability land degradation policy support erozija modeliranje tla analize pregled info:eu-repo/classification/udc/502/504:556 Borrelli, Pasquale Ballabio, Cristiano Bezak, Nejc Miao, Chiyuan Mikoš, Matjaž Panagos, Panos Soil erosion modelling |
topic_facet |
erosion rates modelling GIS land sustainability land degradation policy support erozija modeliranje tla analize pregled info:eu-repo/classification/udc/502/504:556 |
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. |
format |
Report |
author |
Borrelli, Pasquale Ballabio, Cristiano Bezak, Nejc Miao, Chiyuan Mikoš, Matjaž Panagos, Panos |
author_facet |
Borrelli, Pasquale Ballabio, Cristiano Bezak, Nejc Miao, Chiyuan Mikoš, Matjaž Panagos, Panos |
author_sort |
Borrelli, Pasquale |
title |
Soil erosion modelling |
title_short |
Soil erosion modelling |
title_full |
Soil erosion modelling |
title_fullStr |
Soil erosion modelling |
title_full_unstemmed |
Soil erosion modelling |
title_sort |
soil erosion modelling |
publisher |
Elsevier |
publishDate |
2021 |
url |
https://repozitorij.uni-lj.si/IzpisGradiva.php?id=127272 https://repozitorij.uni-lj.si/Dokument.php?id=143589&dn= https://repozitorij.uni-lj.si/Dokument.php?id=143590&dn= https://repozitorij.uni-lj.si/Dokument.php?id=143591&dn= https://plus.si.cobiss.net/opac7/bib/57066755?lang=sl |
genre |
Antarc* Antarctica |
genre_facet |
Antarc* Antarctica |
op_source |
Science of the total environment, no. 780/146494, pp. 1-18, 2021. ISSN: 0048-9697 |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.scitotenv.2021.146494 https://repozitorij.uni-lj.si/IzpisGradiva.php?id=127272 https://repozitorij.uni-lj.si/Dokument.php?id=143589&dn= https://repozitorij.uni-lj.si/Dokument.php?id=143590&dn= https://repozitorij.uni-lj.si/Dokument.php?id=143591&dn= https://plus.si.cobiss.net/opac7/bib/57066755?lang=sl |
op_rights |
http://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.1016/j.scitotenv.2021.146494 |
container_title |
Science of The Total Environment |
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780 |
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146494 |
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1766059935015108608 |