Article CC BY 4.0
refereed
published

Soil erosion modelling: A bibliometric analysis

Affiliation
University of Ljubljana, Faculty of Civil and Geodetic Engineering, Slovenia
Bezak, Nejc;
Affiliation
University of Ljubljana, Faculty of Civil and Geodetic Engineering, Slovenia
Mikoš, Matjaž;
Affiliation
University of Pavia, Department of Earth and Environmental Sciences, Pavia, Italy ; Kangwon National University, Republic of Korea ; University of Basel, Department of Environmental Sciences, Environmental Geosciences, Switzerland
Borrelli, Pasquale;
Affiliation
University of Basel, Department of Environmental Sciences, Environmental Geosciences, Switzerland
Alewell, Christine;
Affiliation
Karlsruhe Institute of Technology, Institute of Geography and Geoecology, Germany ; National University of Loja, Faculty of Agricultural Sciences, Ecuador
Alvarez, Pablo;
Affiliation
University of Sao Paulo (USP), Department of Hydraulics and Sanitation, Sao Carlos School of Engineering (EESC), Brazil ; Federal University of Mato Grosso Do Sul, Brazil
Ayach Anache, Jamil Alexandre;
Affiliation
Wageningen University, Soil Physics and Land Management Group, the Netherlands
Baartman, Jantiene;
Affiliation
European Commission, Joint Research Centre (JRC), Italy
Ballabio, Cristiano;
Affiliation
Institute of Sciences and Technologies for Sustainable Energy and Mobility (STEMS), National Research Council of Italy (CNR), Italy
Biddoccu, Marcella;
Affiliation
University of Valencia, Department of Geography, Soil Erosion and Degradation Research Group, Spain
Cerdà, Artemi;
Affiliation
University of New England, School of Environmental and Rural Science, Armidale, Australia
Chalise, Devraj;
Affiliation
INRAE, Unité InfoSol, France
Chen, Songchao;
Affiliation
National Taipei University of Technology, Department of Civil Engineering, Taiwan
Chen, Walter;
Affiliation
Water Research Institute-National Research Council, Italy
De Girolamo, Anna Maria;
Affiliation
International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Ethiopia
Gessesse, Gizaw Desta;
Affiliation
Leibniz-Center for Agricultural Landscape Research Muencheberg (ZALF), Germany
Deumlich, Detlef;
Affiliation
Met European Research Observatory—International Affiliates Program of the University Corporation for Atmospheric Research, Italy
Diodato, Nazzareno;
Affiliation
Czech University of Life Sciences Prague, Faculty of Environmental Sciences, Czech Republic
Efthimiou, Nikolaos;
Affiliation
University of Ankara, Faculty of Agriculture, Department of Soil Science and Plant Nutrition, Turkey
Erpul, Gunay;
Affiliation
Universität Augsburg, Water and Soil Resources Research Group, Institute of Geography, Germany
Fiener, Peter;
Affiliation
University of Turin, Department of Agricultural, Forest and Food Sciences, Italy
Freppaz, Michele;
Affiliation
University of Bari Aldo Moro, Department of Agricultural and Environmental Sciences, Italy
Gentile, Francesco;
Affiliation
Leibniz-Institute of Freshwater Ecology and Inland Fisheries (FV-IGB), Department of Ecohydrology, Germany
Gericke, Andreas;
Affiliation
Tottori University, International Platform for Dryland Research and Education, Japan
Haregeweyn, Nigussie;
Affiliation
Jiangxi University of Finance and Economics, Department of Land Resource Management, School of Tourism and Urban Management, China
Hu, Bifeng;
Affiliation
University of Adelaide, School of Biological Sciences, Australia
Jeanneau, Amelie;
Affiliation
Free University of Bozen-Bolzano, Faculty of Science and Technology, Italy
Kaffas, Konstantinos;
Affiliation
Yazd University, Faculty of Natural Resources, Department of Watershed Management Engineering, Iran
Kiani-Harchegani, Mahboobeh;
Affiliation
Estación Experimental de Aula-Dei (EEAD-CSIC), Spanish National Research Council, Spain
Villuendas, Ivan Lizaga;
Affiliation
Beijing Normal University, Faculty of Geographical Science, State Key Laboratory of Earth Surface Processes and Resource Ecology, China ; Beijing Normal University, Faculty of Geographical Science, Institute of Land Surface System and Sustainable Development, China
Li, Changjia;
Affiliation
University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC), the Netherlands
Lombardo, Luigi;
Affiliation
Wageningen Environmental Research, Team Soil, Water and Land Use, the Netherlands
López-Vicente, Manuel;
Affiliation
Castilla La Mancha University, School of Advanced Agricultural and Forestry Engineering, Spain
Lucas-Borja, Manuel Esteban;
Affiliation
University of Pavia, Department of Earth and Environmental Sciences, Italy
Märker, Michael;
Affiliation
Beijing Normal University, Faculty of Geographical Science, State Key Laboratory of Earth Surface Processes and Resource Ecology, China
Miao, Chiyuan;
Affiliation
World Food Programme, Italy ; University of Leicester, Centre for Landscape and Climate Research, Department of Geography, UK
Modugno, Sirio;
GND
1173645446
Affiliation
Julius Kühn-Institute (JKI), Institute for Crop and Soil Science, Germany
Möller, Markus;
Affiliation
Ecole Normale Supérieure, Department of Geosciences, France
Naipal, Victoria;
Affiliation
Southwest Watershed Research Center, USDA-ARS, AZ, United States
Nearing, Mark;
Affiliation
Soil Research Institute, Council for Scientific and Industrial Research, Ghana
Owusu, Stephen;
Affiliation
University of Nebraska-Lincoln, Department of Agronomy and Horticulture, NE, United States
Panday, Dinesh;
Affiliation
Normandie Univ, Rouen, UNIROUEN, UNICAEN, CNRS, M2C, FED-SCALE, France
Patault, Edouard;
Affiliation
Romanian Academy, Iasi Branch, Geography Group, Romania
Patriche, Cristian Valeriu;
Affiliation
ISRIC - World Soil Information, the Netherlands
Poggio, Laura;
Affiliation
Minas Gerais State University - Campus Frutal, Brazil
Portes, Raquel;
Affiliation
Université Catholique de Louvain, Georges Lemaître Centre for Earth and Climate Research - Earth and Life Institute, Belgium
Quijano, Laura;
Affiliation
University of Torbat Heydarieh, Faculty of Agriculture, Iran
Rahdari, Mohammad Reza;
Affiliation
University Hassiba Benbouali of Chlef, Laboratory of Chemistry Vegetable-Water-Energy, Algeria
Renima, Mohammed;
Affiliation
University of Bari Aldo Moro, Department of Agricultural and Environmental Sciences, Italy
Ricci, Giovanni Francesco;
Affiliation
University of Valencia, Department of Geography, Soil Erosion and Degradation Research Group, Spain ; University of Trier, Department of Physical Geography, Germany
Rodrigo-Comino, Jesús;
Affiliation
University of Pisa, Dept. Veterinary Sciences, Italy
Saia, Sergio;
Affiliation
University of Tehran, Faculty of Natural Resources, Iran
Samani, Aliakbar Nazari;
Affiliation
University of Milan, Department of Agricultural and Environmental Sciences, Italy
Schillaci, Calogero;
Affiliation
European Commission, Joint Research Centre (JRC), Italy
Syrris, Vasileios;
Affiliation
Kangwon National University, Chuncheon-si, Gangwon-do, Republic of Korea
Kim, Hyuck Soo;
Affiliation
University of Alaska Fairbanks, Department of Chemistry and Biochemistry, AK, USA
Spinola, Diogo Noses;
Affiliation
Federal University of Mato Grosso Do Sul, Brazil
Oliveira, Paulo Tarso;
Affiliation
Wuhan Institute of Technology, School of Environmental Ecology and Biological Engineering, China
Teng, Hongfen;
Affiliation
University of Maryland, Department of Plant Science and Landscape Architecture, MD, USA
Thapa, Resham;
Affiliation
Aristotle University of Thessaloniki, Department of Rural and Surveying Engineering, Greece
Vantas, Konstantinos;
Affiliation
University of Aveiro, Dpt. of Environment and Planning, Centre for Environmental and Marine Studies (CESAM), Portugal
Vieira, Diana;
Affiliation
Kangwon National University, Chuncheon-si, Gangwon-do, Republic of Korea
Yang, Jae E.;
Affiliation
Beijing Normal University, Faculty of Geographical Science, State Key Laboratory of Earth Surface Processes and Resource Ecology, China
Yin, Shuiqing;
Affiliation
University “Mediterranea” of Reggio Calabria, Department “Agraria”, Italy
Zema, Demetrio Antonio;
Affiliation
Northwest A&F University, State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Institute of Soil and Water Conservation, China
Zhao, Guangju;
Affiliation
European Commission, Joint Research Centre (JRC), Italy
Panagos, Panos

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.

Preview

Cite

Citation style:
Could not load citation form.

Access Statistic

Total:
Downloads:
Abtractviews:
Last 12 Month:
Downloads:
Abtractviews:

Rights

License Holder: 2021 The Author(s)

Use and reproduction:

Export