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Soil erosion modelling: A bibliometric analysis

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Relation http://oar.icrisat.org/11808/
https://doi.org/10.1016/j.envres.2021.111087
doi:10.1016/j.envres.2021.111087
 
Title Soil erosion modelling: A bibliometric analysis
 
Creator Bezak, N
Mikoš, M
Borrelli, P
Alewell, C
Alvarez, P
Anache, J A J
Baartman, J
Ballabio, C
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
Maerker, M
Miao, C
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, Paulo Tarso
Teng, H
Thapa, R
Vantas, K
Vieira, D
Yang, J E
Yin, S
Zema, D A
Zhao, G
Panagos, P
 
Subject Participatory Modeling
Soil Science
 
Description 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.
 
Publisher Elsevier
 
Date 2021-03
 
Type Article
PeerReviewed
 
Format application/pdf
 
Language en
 
Identifier http://oar.icrisat.org/11808/1/1-s2.0-S0013935121003819-main.pdf
Bezak, N and Mikoš, M and Borrelli, P and Alewell, C and Alvarez, P and Anache, J A J and Baartman, J and Ballabio, C 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 Maerker, M and Miao, C 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, Paulo Tarso 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 bibliometric analysis. Environmental Research (TSI), 197. pp. 1-16. ISSN 0013-9351