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Article Dans Une Revue Science of the Total Environment Année : 2021

Soil erosion modelling: A global review and statistical analysis

Pasquale Borrelli (1, 2, 3) , Christine Alewell (2) , Pablo Alvarez (4, 5) , Jamil Alexandre Ayach Anache (6, 7) , Jantiene Baartman (8) , Cristiano Ballabio (9) , Nejc Bezak (10) , Marcella Biddoccu (11) , Artemi Cerdà (12) , Devraj Chalise (13) , Songchao Chen (14) , Walter Chen (15) , Anna Maria de Girolamo (11) , Gizaw Desta Gessesse (16) , Detlef Deumlich (17) , Nazzareno Diodato (18) , Nikolaos Efthimiou (19) , Gunay Erpul (20) , Peter Fiener (21) , Michele Freppaz (22) , Francesco Gentile (23) , Andreas Gericke (24) , Nigussie Haregeweyn (25) , Bifeng Hu (26, 27) , Amelie Jeanneau (28) , Konstantinos Kaffas (29, 5) , Mahboobeh Kiani-Harchegani (30) , Ivan Lizaga Villuendas (31) , Changjia Li (32) , Luigi Lombardo (29, 33) , Manuel López-Vicente (34) , Manuel Esteban Lucas-Borja (35) , Michael Märker (1) , Francis Matthews (9) , Chiyuan Miao (32) , Matjaž Mikoš (10) , Sirio Modugno (36, 37) , Markus Möller (29, 14) , Victoria Naipal (38) , Mark Nearing (29) , Stephen Owusu (29, 16) , Dinesh Panday (29) , Edouard Patault (39) , Cristian Valeriu Patriche (40) , Laura Poggio (41) , Raquel Portes (42) , Laura Quijano (43) , Mohammad Reza Rahdari (44) , Mohammed Renima (45) , Giovanni Francesco Ricci (23) , Jesús Rodrigo-Comino (46) , Sergio Saia (47) , Aliakbar Nazari Samani (48) , Calogero Schillaci (49) , Vasileios Syrris (9) , Hyuck Soo Kim (3) , Diogo Noses Spinola (50) , Paulo Tarso Oliveira (51) , Hongfen Teng (52) , Resham Thapa (53) , Konstantinos Vantas (54) , Diana Vieira (55) , Jae Yang (3) , Shuiqing Yin (56) , Demetrio Antonio Zema (57) , Guangju Zhao (58) , Panos Panagos (9)
1 Dipartimento di Scienze della Terra e dell'Ambiente [Pavia]
2 Department of Earth Sciences [Basel]
3 Kangwon National University
4 UNL - Universidad Nacional de Loja = National University of Loja
5 KIT - Karlsruhe Institute of Technology
6 Sao Carlos School of engineering [São Paulo]
7 UFMS - Universidade Federal de Mato Grosso do Sul
8 WUR - Wageningen University and Research [Wageningen]
9 JRC - European Commission - Joint Research Centre [Ispra]
10 University of Ljubljana
11 CNR - National Research Council of Italy | Consiglio Nazionale delle Ricerche
12 UV - Universitat de València
13 School of Environmental and Rural Science
14 InfoSol - InfoSol
15 TAIPEI TECH - National Taipei University of technology [Taipei]
16 ICRISAT - International Crops Research Institute for the Semi-Arid Tropics [Inde]
17 ZALF - Leibniz-Zentrum für Agrarlandschaftsforschung = Leibniz Centre for Agricultural Landscape Research
18 MetEROBS - Met European Research Observatory
19 CZU - Czech University of Life Sciences Prague
20 Ankara Üniversitesi
21 Universität Augsburg [Augsburg]
22 UNITO - Università degli studi di Torino = University of Turin
23 UNIBA - Università degli studi di Bari Aldo Moro = University of Bari Aldo Moro
24 IGB - Leibniz Institute of Freshwater Ecology and Inland Fisheries
25 Tottori University
26 URSols - Unité de Science du Sol (Orléans)
27 UO - Université d'Orléans
28 University of Adelaide
29 UNIPV - Università degli Studi di Pavia = University of Pavia
30 Yazd University
31 CSIC - Consejo Superior de Investigaciones Cientificas = Spanish National Research Council
32 ESPRE - State Key Laboratory of Earth Surface Processes and Resource Ecology
33 IPSC - JRC Institute for the Protection and Security of the Citizen [Ispra]
34 Wageningen Environmental Research (Alterra)
35 UCLM - Universidad de Castilla-La Mancha = University of Castilla-La Mancha
36 WFP - World Food Programme
37 University of Leicester
38 LMU - Ludwig Maximilian University [Munich] = Ludwig Maximilians Universität München
39 M2C - Morphodynamique Continentale et Côtière
40 Romanian Academy
41 ISRIC - World Soil Information
42 UnB - University of Brasilia [Brazil]
43 TECLIM - Centre Georges Lemaître for Earth and Climate Research [Louvain]
44 UTH - University of Torbat Heydarieh
45 Université Hassiba Benbouali of Chlef
46 Trier University of Applied Sciences
47 University of Pisa - Università di Pisa
48 University of Tehran
49 UNIMI - Università degli Studi di Milano = University of Milan
50 UAF - University of Alaska [Fairbanks]
51 UEMS - Universidade Estadual de Mato Grosso do Sul
52 WIT - Wuhan Institute of Technology
53 University of Maryland [Baltimore]
54 Aristotle University of Thessaloniki
55 CIDMA - University of Aveiro
56 BNU - Beijing Normal University
57 Universita Mediterranea of Reggio Calabria [Reggio Calabria]
58 Northwest A and F University
Nejc Bezak
Songchao Chen
Gunay Erpul
  • Fonction : Auteur
Peter Fiener
Amelie Jeanneau
Cristian Valeriu Patriche
Raquel Portes
Mohammed Renima
Diogo Noses Spinola
Resham Thapa
Jae Yang
Shuiqing Yin

Résumé

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.

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Science des sols
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hal-03481665 , version 1 (20-04-2023)

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Pasquale Borrelli, Christine Alewell, Pablo Alvarez, Jamil Alexandre Ayach Anache, Jantiene Baartman, et al.. Soil erosion modelling: A global review and statistical analysis. Science of the Total Environment, 2021, 780, pp.146494. ⟨10.1016/j.scitotenv.2021.146494⟩. ⟨hal-03481665⟩
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