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...

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Main Authors: Borrelli, Pasquale, Panagos, Panos, Panday, Dinesh, co-authors, 64 more
Format: Text
Language:unknown
Published: DigitalCommons@University of Nebraska - Lincoln 2021
Subjects:
GIS
Online Access:https://digitalcommons.unl.edu/agronomyfacpub/1437
https://digitalcommons.unl.edu/context/agronomyfacpub/article/2426/viewcontent/Borelli_STE_2021_Soil_erosion_modelling.pdf
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spelling ftunivnebraskali:oai:digitalcommons.unl.edu:agronomyfacpub-2426 2023-11-12T04:08:31+01:00 Soil erosion modelling: A global review and statistical analysis Borrelli, Pasquale Panagos, Panos Panday, Dinesh co-authors, 64 more 2021-01-01T08:00:00Z application/pdf https://digitalcommons.unl.edu/agronomyfacpub/1437 https://digitalcommons.unl.edu/context/agronomyfacpub/article/2426/viewcontent/Borelli_STE_2021_Soil_erosion_modelling.pdf unknown DigitalCommons@University of Nebraska - Lincoln https://digitalcommons.unl.edu/agronomyfacpub/1437 https://digitalcommons.unl.edu/context/agronomyfacpub/article/2426/viewcontent/Borelli_STE_2021_Soil_erosion_modelling.pdf Agronomy & Horticulture -- Faculty Publications Erosion rates Modelling GIS Land sustainability Land degradation Policy support Agricultural Science Agriculture Agronomy and Crop Sciences Botany Horticulture Life Sciences Other Plant Sciences Plant Biology Plant Sciences text 2021 ftunivnebraskali 2023-10-30T12:00:38Z 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. Authors list: Pasquale Borrelli, Christine Alewell, Pablo Alvarez, Jamil Alexandre Ayach Anache, Jantiene Baartman, Cristiano Ballabio, Nejc Bezak, Marcella Biddoccu, Artemi Cerdà, Devraj Chalise, Songchao Chen, Walter Chen, Anna Maria De Girolamo, Gizaw Desta Gessesse, Detlef Deumlich, Nazzareno Diodato, Nikolaos Efthimiou, Gunay Erpul, Peter Fiener, Michele Freppaz, Francesco Gentile, Andreas Gericke, Nigussie Haregeweyn, Bifeng Hu, Amelie Jeanneau, Konstantinos Kaffas, Mahboobeh ... Text Antarc* Antarctica University of Nebraska-Lincoln: DigitalCommons@UNL Andreas ENVELOPE(-60.729,-60.729,-64.008,-64.008) Alvarez ENVELOPE(-64.483,-64.483,-65.633,-65.633) Pablo ENVELOPE(-63.717,-63.717,-64.283,-64.283) Gentile ENVELOPE(-62.233,-62.233,-63.333,-63.333)
institution Open Polar
collection University of Nebraska-Lincoln: DigitalCommons@UNL
op_collection_id ftunivnebraskali
language unknown
topic Erosion rates
Modelling
GIS
Land sustainability
Land degradation
Policy support
Agricultural Science
Agriculture
Agronomy and Crop Sciences
Botany
Horticulture
Life Sciences
Other Plant Sciences
Plant Biology
Plant Sciences
spellingShingle Erosion rates
Modelling
GIS
Land sustainability
Land degradation
Policy support
Agricultural Science
Agriculture
Agronomy and Crop Sciences
Botany
Horticulture
Life Sciences
Other Plant Sciences
Plant Biology
Plant Sciences
Borrelli, Pasquale
Panagos, Panos
Panday, Dinesh
co-authors, 64 more
Soil erosion modelling: A global review and statistical analysis
topic_facet Erosion rates
Modelling
GIS
Land sustainability
Land degradation
Policy support
Agricultural Science
Agriculture
Agronomy and Crop Sciences
Botany
Horticulture
Life Sciences
Other Plant Sciences
Plant Biology
Plant Sciences
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. Authors list: Pasquale Borrelli, Christine Alewell, Pablo Alvarez, Jamil Alexandre Ayach Anache, Jantiene Baartman, Cristiano Ballabio, Nejc Bezak, Marcella Biddoccu, Artemi Cerdà, Devraj Chalise, Songchao Chen, Walter Chen, Anna Maria De Girolamo, Gizaw Desta Gessesse, Detlef Deumlich, Nazzareno Diodato, Nikolaos Efthimiou, Gunay Erpul, Peter Fiener, Michele Freppaz, Francesco Gentile, Andreas Gericke, Nigussie Haregeweyn, Bifeng Hu, Amelie Jeanneau, Konstantinos Kaffas, Mahboobeh ...
format Text
author Borrelli, Pasquale
Panagos, Panos
Panday, Dinesh
co-authors, 64 more
author_facet Borrelli, Pasquale
Panagos, Panos
Panday, Dinesh
co-authors, 64 more
author_sort Borrelli, Pasquale
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
publisher DigitalCommons@University of Nebraska - Lincoln
publishDate 2021
url https://digitalcommons.unl.edu/agronomyfacpub/1437
https://digitalcommons.unl.edu/context/agronomyfacpub/article/2426/viewcontent/Borelli_STE_2021_Soil_erosion_modelling.pdf
long_lat ENVELOPE(-60.729,-60.729,-64.008,-64.008)
ENVELOPE(-64.483,-64.483,-65.633,-65.633)
ENVELOPE(-63.717,-63.717,-64.283,-64.283)
ENVELOPE(-62.233,-62.233,-63.333,-63.333)
geographic Andreas
Alvarez
Pablo
Gentile
geographic_facet Andreas
Alvarez
Pablo
Gentile
genre Antarc*
Antarctica
genre_facet Antarc*
Antarctica
op_source Agronomy & Horticulture -- Faculty Publications
op_relation https://digitalcommons.unl.edu/agronomyfacpub/1437
https://digitalcommons.unl.edu/context/agronomyfacpub/article/2426/viewcontent/Borelli_STE_2021_Soil_erosion_modelling.pdf
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