Soil erosion modelling: A global review and statistical analysis

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

[img] PDF - Published Version
Download (4MB)


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.

Item Type: Article
Divisions: Research Program : East & Southern Africa
Uncontrolled Keywords: Erosion rates, Modelling, GIS, Land sustainability, Land degradation, Policy support
Subjects: Others > Crop Modelling
Others > GIS Techniques/Remote Sensing
Others > Soil Science
Others > Land Degradation
Depositing User: Mr Arun S
Date Deposited: 19 May 2021 11:15
Last Modified: 19 May 2021 11:16
Official URL:
Acknowledgement: Jae E. Yang and Pasquale Borrelli are funded by the EcoSSSoil Project, Korea Environmental Industry & Technology Institute (KEITI), Korea (Grant No. 2019002820004). Diana Vieira is funded by national funds (OE), through FCT – Fundação para a Ciência e a Tecnologia, I.P., in the scope of the framework contract foreseen - DL57/2016 (CDL-CTTRI- 97-ARH/2018 - REF.191-97-ARH/2018), and acknowledges CESAM financial support of through (UIDP/50017/2020+UIDB/50017/2020). Walter Chen is funded by the Ministry of Science and Technology (Taiwan) Research Project (Grant Number MOST 109-2121-M-027- 001). Nejc Bezak andMatjaž Mikoš would like to acknowledge the support of the Slovenian Research Agency through grant P2-0180.
View Statistics

Actions (login required)

View Item View Item