Soil erosion modelling: A bibliometric analysis
Jazyk angličtina Země Nizozemsko Médium print-electronic
Typ dokumentu časopisecké články, práce podpořená grantem
PubMed
33798514
DOI
10.1016/j.envres.2021.111087
PII: S0013-9351(21)00381-9
Knihovny.cz E-zdroje
- Klíčová slova
- Citation analysis, Participatory network, Research impact, Soil erosion modelling, Systematic literature review,
- MeSH
- bibliometrie * MeSH
- eroze půdy * MeSH
- publikace MeSH
- půda MeSH
- zemědělství MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
- Názvy látek
- půda MeSH
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.
Department of Agronomy and Horticulture University of Nebraska Lincoln Lincoln NE United States
Department of Chemistry and Biochemistry University of Alaska Fairbanks Fairbanks AK USA
Department of Civil Engineering National Taipei University of Technology Taiwan
Department of Earth and Environmental Sciences University of Pavia Via Ferrata 1 27100 Pavia Italy
Department of Plant Science and Landscape Architecture University of Maryland College Park MD USA
Dept Veterinary Sciences University of Pisa Via Delle Piagge 2 Pisa 56129 Italy
École Normale Supérieure Department of Geosciences 24 Rue Lhomond 75005 Paris France
European Commission Joint Research Centre Ispra Italy
Faculty of Agriculture University of Torbat Heydarieh Torbat Heydarieh Iran
Faculty of Natural Resources University of Tehran Tehran Iran
Faculty of Science and Technology Free University of Bozen Bolzano Bolzano Italy
Federal University of Mato Grosso Do Sul CxP 549 Campo Grande MS 79070 900 Brazil
INRAE Unité InfoSol Orléans 45075 France
International Crops Research Institute for the Semi Arid Tropics Ethiopia
International Platform for Dryland Research and Education Tottori University Tottori 680 0001 Japan
ISRIC World Soil Information Wageningen the Netherlands
Kangwon National University Chuncheon si Gangwon do Republic of Korea
Leibniz Center for Agricultural Landscape Research Muencheberg Germany
Minas Gerais State University Campus Frutal Brazil
Normandie Univ Rouen UNIROUEN UNICAEN CNRS M2C FED SCALE Rouen France
Romanian Academy Iasi Branch Geography Group 8 Carol 1 700505 Iasi Romania
School of Biological Sciences University of Adelaide Adelaide Australia
School of Environmental and Rural Science University of New England Armidale NSW 2351 Australia
Soil Physics and Land Management Group Wageningen University Wageningen the Netherlands
Soil Research Institute Council for Scientific and Industrial Research Kwadaso Kumasi Ghana
Southwest Watershed Research Center USDA ARS 2000 E Allen Rd Tucson AZ 85719 United States
Team Soil Water and Land Use Wageningen Environmental Research Wageningen 6708RC Netherlands
University Hassiba Benbouali of Chlef Laboratory of Chemistry Vegetable Water Energy Algeria
University of Bari Aldo Moro Department of Agricultural and Environmental Sciences Bari Italy
University of Ljubljana Faculty of Civil and Geodetic Engineering Ljubljana Slovenia
Water Research Institute National Research Council Bari Italy
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