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Soil erosion modelling: A global review and statistical analysis

OAR@ICRISAT

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Relation http://oar.icrisat.org/11810/
https://doi.org/10.1016/j.scitotenv.2021.146494
doi:10.1016/j.scitotenv.2021.146494
 
Title Soil erosion modelling: A global review and statistical analysis
 
Creator Borrelli, P
Alewell, C
Alvarez, P
Anache, J A A
Baartman, J
Ballabio, C
Bezak, N
Biddoccu, M
Cerdà, 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
López-Vicente, M
Lucas-Borja, M E
Märker, M
Matthews, F
Miao, C
Mikoš, M
Modugno, S
Möller, 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
 
Subject Crop Modelling
GIS Techniques/Remote Sensing
Soil Science
Land Degradation
 
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 ErosionModelling 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- erosionmodels and model applicationsworldwide. 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, andmake future
expansions.
 
Publisher Elsevier
 
Date 2021-03
 
Type Article
PeerReviewed
 
Format application/pdf
 
Language en
 
Identifier http://oar.icrisat.org/11810/1/1-s2.0-S004896972101562X-main.pdf
Borrelli, P and Alewell, C and Alvarez, P and Anache, J A A and Baartman, J and Ballabio, C and Bezak, N and Biddoccu, M and Cerdà, A and Chalise, D and Chen, S and Chen, W and De Girolamo, A M and Gessesse, G D and Deumlich, D and Diodato, N and Efthimiou, N and Erpul, G and Fiener, P and Freppaz, M and Gentile, F and Gericke, A and Haregeweyn, N and Hu, B and Jeanneau, A and Kaffas, K and Kiani-Harchegani, M and Villuendas, I L and Li, C and Lombardo, L and López-Vicente, M and Lucas-Borja, M E and Märker, M and Matthews, F and Miao, C and Mikoš, M and Modugno, S and Möller, M and Naipal, V and Nearing, M and Owusu, S and Panday, D and Patault, E and Patriche, C V and Poggio, L and Portes, R and Quijano, L and Rahdari, M R and Renima, M and Ricci, G F and Rodrigo-Comino, J and Saia, S and Samani, A N and Schillaci, C and Syrris, V and Kim, H S and Spinola, D N and Oliveira, P T and Teng, H and Thapa, R and Vantas, K and Vieira, D and Yang, J E and Yin, S and Zema, D A and Zhao, G and Panagos, P (2021) Soil erosion modelling: A global review and statistical analysis. Science of The Total Environment (TSI), 780. pp. 1-18. ISSN 0048-9697