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Journal Articles Environmental Research Year : 2021

Soil erosion modelling: A bibliometric analysis

Nejc Bezak (1) , Matjaž Mikoš (1) , Pasquale Borrelli (2, 3, 4) , Christine Alewell (4) , Pablo Alvarez (5, 6) , Jamil Alexandre Ayach Anache (7, 8) , Jantiene Baartman (9) , Cristiano Ballabio (10) , Marcella Biddoccu (11) , Artemi Cerdà (12) , Devraj Chalise (13) , Songchao Chen (14) , Walter Chen (15) , Anna Maria de Girolamo (16) , Gizaw Desta Gessesse (17) , Detlef Deumlich (18) , Nazzareno Diodato (19) , Nikolaos Efthimiou (20) , Gunay Erpul (21) , Peter Fiener (22) , Michele Freppaz (23) , Francesco Gentile (24) , Andreas Gericke (25) , Nigussie Haregeweyn (26) , Bifeng Hu (27) , Amelie Jeanneau (28) , Konstantinos Kaffas (29) , Mahboobeh Kiani-Harchegani (30) , Ivan Lizaga Villuendas (31) , Changjia Li (32) , Luigi Lombardo (33) , Manuel López-Vicente (34) , Manuel Esteban Lucas-Borja (35) , Michael Maerker (2) , Chiyuan Miao (32) , Sirio Modugno (36, 37) , Markus Möller (38) , Victoria Naipal (39) , Mark Nearing (40) , Stephen Owusu (41) , Dinesh Panday (42) , Edouard Patault (43) , Cristian Valeriu Patriche (44) , Laura Poggio (45) , Raquel Portes (46) , Laura Quijano (47) , Mohammad Reza Rahdari (48) , Mohammed Renima (49) , Giovanni Francesco Ricci (24) , Jesús Rodrigo-Comino (50, 12) , Sergio Saia (51) , Aliakbar Nazari Samani (52) , Calogero Schillaci (53) , Vasileios Syrris (10) , Hyuck Soo Kim (3) , Diogo Noses Spinola (54) , Paulo Tarso Oliveira (55) , Hongfen Teng (56) , Resham Thapa (57) , Konstantinos Vantas (58) , Diana Vieira (59) , Jae Yang (3) , Shuiqing Yin (32) , Demetrio Antonio Zema (60) , Guangju Zhao (61) , Panos Panagos (10)
1 University of Ljubljana
2 UNIPV - Università degli Studi di Pavia = University of Pavia
3 Kangwon National University
4 Unibas - Université de Bâle = University of Basel = Basel Universität
5 KIT - Karlsruhe Institute of Technology
6 UNL - Universidad Nacional de Loja = National University of Loja
7 USP - Universidade de São Paulo = University of São Paulo
8 Sao Carlos School of engineering [São Paulo]
9 WUR - Wageningen University and Research [Wageningen]
10 JRC - European Commission - Joint Research Centre [Ispra]
11 CNR - National Research Council of Italy | Consiglio Nazionale delle Ricerche
12 UV - Universitat de València
13 UNE - University of New England
14 InfoSol - InfoSol
15 TAIPEI TECH - National Taipei University of technology [Taipei]
16 IRSA - CNR Water Research Institute
17 ICRISAT - International Crops Research Institute for the Semi-Arid Tropics [Inde]
18 ZALF - Leibniz-Zentrum für Agrarlandschaftsforschung = Leibniz Centre for Agricultural Landscape Research
19 MetEROBS - Met European Research Observatory
20 CZU - Czech University of Life Sciences Prague
21 Ankara Üniversitesi
22 Universität Augsburg [Augsburg]
23 UNITO - Università degli studi di Torino = University of Turin
24 UNIBA - Università degli studi di Bari Aldo Moro = University of Bari Aldo Moro
25 IGB - Leibniz Institute of Freshwater Ecology and Inland Fisheries
26 Tottori University
27 JUFE - Jiangxi University of Finance and Economics
28 University of Adelaide
29 Free University of Bozen-Bolzano
30 Yazd University
31 EEAD - Estación Experimental de Aula Dei
32 BNU - Beijing Normal University
33 University of Twente
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 JKI - Julius Kühn-Institut
39 ENS Paris Saclay - Ecole Normale Supérieure Paris-Saclay
40 Southwest Watershed Research Center: Tucson, AZ
41 SRI-CSIR - Soil Research Institute, Council for Scientific and Industrial Research
42 University of Nebraska–Lincoln
43 M2C - Morphodynamique Continentale et Côtière
44 Romanian Academy
45 ISRIC - World Soil Information
46 Universidade do Estado de Minas Gerais = Minas Gerais State University
47 UCL - Université Catholique de Louvain = Catholic University of Louvain
48 UTH - University of Torbat Heydarieh
49 Université Hassiba Benbouali of Chlef
50 Trier University of Applied Sciences
51 University of Pisa - Università di Pisa
52 University of Tehran
53 UNIMI - Università degli Studi di Milano = University of Milan
54 UAF - University of Alaska [Fairbanks]
55 UFMT - Universidade Federal de Mato Grosso
56 WIT - Wuhan Institute of Technology
57 University of Maryland [Baltimore]
58 Aristotle University of Thessaloniki
59 CIDMA - University of Aveiro
60 Universita Mediterranea of Reggio Calabria [Reggio Calabria]
61 Northwest A and F University
Nejc Bezak
Devraj Chalise
Songchao Chen
Gunay Erpul
  • Function : Author
Peter Fiener
Bifeng Hu
Amelie Jeanneau
Konstantinos Kaffas
Chiyuan Miao
Dinesh Panday
Cristian Valeriu Patriche
Mohammed Renima
Diogo Noses Spinola
Resham Thapa
Jae Yang
Shuiqing Yin

Abstract

Soil erosion can present a major threat to agriculture due to loss of soil, nutrients, and organic carbon. Therefore, soil erosion modelling is one of the steps used to plan suitable soil protection measures and detect erosion hotspots. A bibliometric analysis of this topic can reveal research patterns and soil erosion modelling characteristics that can help identify steps needed to enhance the research conducted in this field. Therefore, a detailed bibliometric analysis, including investigation of collaboration networks and citation patterns, should be conducted. The updated version of the Global Applications of Soil Erosion Modelling Tracker (GASEMT) database contains information about citation characteristics and publication type. Here, we investigated the impact of the number of authors, the publication type and the selected journal on the number of citations. Generalized boosted regression tree (BRT) modelling was used to evaluate the most relevant variables related to soil erosion modelling. Additionally, bibliometric networks were analysed and visualized. This study revealed that the selection of the soil erosion model has the largest impact on the number of publication citations, followed by the modelling scale and the publication's CiteScore. Some of the other GASEMT database attributes such as model calibration and validation have negligible influence on the number of citations according to the BRT model. Although it is true that studies that conduct calibration, on average, received around 30% more citations, than studies where calibration was not performed. Moreover, the bibliographic coupling and citation networks show a clear continental pattern, although the co-authorship network does not show the same characteristics. Therefore, soil erosion modellers should conduct even more comprehensive review of past studies and focus not just on the research conducted in the same country or continent. Moreover, when evaluating soil erosion models, an additional focus should be given to field measurements, model calibration, performance assessment and uncertainty of modelling results. The results of this study indicate that these GASEMT database attributes had smaller impact on the number of citations, according to the BRT model, than anticipated, which could suggest that these attributes should be given additional attention by the soil erosion modelling community. This study provides a kind of bibliographic benchmark for soil erosion modelling research papers as modellers can estimate the influence of their paper.
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hal-03481099 , version 1 (20-04-2023)

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Nejc Bezak, Matjaž Mikoš, Pasquale Borrelli, Christine Alewell, Pablo Alvarez, et al.. Soil erosion modelling: A bibliometric analysis. Environmental Research, 2021, 197, pp.111087. ⟨10.1016/j.envres.2021.111087⟩. ⟨hal-03481099⟩
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