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3. Relationship of Weather Types on the Seasonal and Spatial Variability of Rainfall, Runoff, and Sediment Yield in the Western Mediterranean Basin

Author

Peña-Angulo, D., primary, Nadal-Romero, E., additional, González-Hidalgo, J.C., additional, Albaladejo, J., additional, Andreu, V., additional, Bahri, H., additional, Bernal, S., additional, Biddoccu, M., additional, Bienes, R., additional, Campo, J., additional, Campo-Bescós, M.A., additional, Canatário-Duarte, A., additional, Cantón, Y., additional, Casali, J., additional, Castillo, V., additional, Cavallo, E., additional, Cerdà, A., additional, Cid, P., additional, Cortesi, N., additional, Desir, G., additional, Díaz-Pereira, E., additional, Espigares, T., additional, Estrany, J., additional, Farguell, J., additional, Fernández-Raga, M., additional, Ferreira, C.S., additional, Ferro, V., additional, Gallart, F., additional, Giménez, R., additional, Gimeno, E., additional, Gómez, J.A., additional, Gómez-Gutiérrez, A., additional, Gómez-Macpherson, H., additional, González-Pelayo, O., additional, Kairis, O., additional, Karatzas, G.P., additional, Keesstra, S., additional, Klotz, S., additional, Kosmas, C., additional, Lana-Renault, N., additional, Lasanta, T., additional, Latron, J., additional, Lázaro, R., additional, Le Bissonnais, Y., additional, Le Bouteiller, C., additional, Licciardello, F., additional, López-Tarazón, J.A., additional, Lucía, A., additional, Marín-Moreno, V.M., additional, Marín, C., additional, Marqués, M.J., additional, Martínez-Fernández, J., additional, Martínez-Mena, M., additional, Mateos, L., additional, Mathys, N., additional, Merino-Martín, L., additional, Moreno-de las Heras, M., additional, Moustakas, N., additional, Nicolau, J.M., additional, Pampalone, V., additional, Raclot, D., additional, Rodríguez-Blanco, M.L., additional, Rodrigo-Comino, J., additional, Romero-Díaz, A., additional, Ruiz-Sinoga, J.D., additional, Rubio, J.L., additional, Schnabel, S., additional, Senciales-González, J.M., additional, Solé-Benet, A., additional, Taguas, E.V., additional, Taboada-Castro, M.T., additional, Taboada-Castro, M.M., additional, Todisco, F., additional, Úbeda, X., additional, Varouchakis, E.A., additional, Wittenberg, L., additional, Zabaleta, A., additional, and Zorn, M., additional

Published
2020
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4. Relationship of Weather Types on the Seasonal and Spatial Variability of Rainfall, Runoff, and Sediment Yield in the Western Mediterranean Basin

Author

Geodinámica, Geodinamika, Nadal Romero, E., González Hidalgo, J.C., Albaladejo, J., Andreu, V., Bahri, H., Bernal, S., Biddoccu, M., Bienes, R., Campo, J., Campo Bescós, M.A., Canatário Duarte, A., Cantón, Y., Casali, J., Castillo, V., Cavallo, E., Cerdà, A., Cid, P., Cortesi, N., Desir, G., Díaz Pereira, E., Espigares, T., Estrany, J., Farguell, J., Fernández Raga, M., Ferreira, C.S., Ferro, V., Gallart, F., Giménez, R., Gimeno, E., Gómez, J.A., Gómez Gutiérrez, A., Gómez Macpherson, H., González Pelayo, O., Kairis, O., Karatzas, G.P., Keesstra, S., Klotz, S., Kosmas, C., Lana Renault, N., Lasanta, T., Latron, J., Lázaro, R., Le Bissonnais, Y., Le Bouteiller, C., Licciardello, F., López Tarazón, J.A., Lucía, A., Marín Moreno, V.M., Marín, C., Marqués, M.J., Martínez Fernández, J., Martínez Mena, M., Mateos, L., Mathys, N., Merino Martín, L., Moreno de las Heras, M., Moustakas, N., Nicolau, J.M., Pampalone, V., Raclot, D., Rodríguez Blanco, M.L., Rodrigo Comino, J., Romero Díaz, A., Ruiz Sinoga, J.D., Rubio, J.L., Schnabel, S., Senciales-González, J.M., Solé Benet, A., Taguas, E.V., Taboada Castro, M.T., Taboada Castro, M.M., Todisco, F., Úbeda, X., Varouchakis, E.A., Wittenberg, L., Zabaleta Lopetegui, Ane, Zorn, M., Geodinámica, Geodinamika, Nadal Romero, E., González Hidalgo, J.C., Albaladejo, J., Andreu, V., Bahri, H., Bernal, S., Biddoccu, M., Bienes, R., Campo, J., Campo Bescós, M.A., Canatário Duarte, A., Cantón, Y., Casali, J., Castillo, V., Cavallo, E., Cerdà, A., Cid, P., Cortesi, N., Desir, G., Díaz Pereira, E., Espigares, T., Estrany, J., Farguell, J., Fernández Raga, M., Ferreira, C.S., Ferro, V., Gallart, F., Giménez, R., Gimeno, E., Gómez, J.A., Gómez Gutiérrez, A., Gómez Macpherson, H., González Pelayo, O., Kairis, O., Karatzas, G.P., Keesstra, S., Klotz, S., Kosmas, C., Lana Renault, N., Lasanta, T., Latron, J., Lázaro, R., Le Bissonnais, Y., Le Bouteiller, C., Licciardello, F., López Tarazón, J.A., Lucía, A., Marín Moreno, V.M., Marín, C., Marqués, M.J., Martínez Fernández, J., Martínez Mena, M., Mateos, L., Mathys, N., Merino Martín, L., Moreno de las Heras, M., Moustakas, N., Nicolau, J.M., Pampalone, V., Raclot, D., Rodríguez Blanco, M.L., Rodrigo Comino, J., Romero Díaz, A., Ruiz Sinoga, J.D., Rubio, J.L., Schnabel, S., Senciales-González, J.M., Solé Benet, A., Taguas, E.V., Taboada Castro, M.T., Taboada Castro, M.M., Todisco, F., Úbeda, X., Varouchakis, E.A., Wittenberg, L., Zabaleta Lopetegui, Ane, and Zorn, M.

Abstract

Rainfall is the key factor to understand soil erosion processes, mechanisms, and rates. Most research was conducted to determine rainfall characteristics and their relationship with soil erosion (erosivity) but there is little information about how atmospheric patterns control soil losses, and this is important to enable sustainable environmental planning and risk prevention. We investigated the temporal and spatial variability of the relationships of rainfall, runoff, and sediment yield with atmospheric patterns (weather types, WTs) in the western Mediterranean basin. For this purpose, we analyzed a large database of rainfall events collected between 1985 and 2015 in 46 experimental plots and catchments with the aim to: (i) evaluate seasonal differences in the contribution of rainfall, runoff, and sediment yield produced by the WTs; and (ii) to analyze the seasonal efficiency of the different WTs (relation frequency and magnitude) related to rainfall, runoff, and sediment yield. The results indicate two different temporal patterns: the first weather type exhibits (during the cold period: autumn and winter) westerly flows that produce the highest rainfall, runoff, and sediment yield values throughout the territory; the second weather type exhibits easterly flows that predominate during the warm period (spring and summer) and it is located on the Mediterranean coast of the Iberian Peninsula. However, the cyclonic situations present high frequency throughout the whole year with a large influence extended around the western Mediterranean basin. Contrary, the anticyclonic situations, despite of its high frequency, do not contribute significantly to the total rainfall, runoff, and sediment (showing the lowest efficiency) because of atmospheric stability that currently characterize this atmospheric pattern. Our approach helps to better understand the relationship of WTs on the seasonal and spatial variability of rainfall, runoff and sediment yield with a regional scale ba

Published
2020

5. Relationship of weather types on the seasonal and spatial variability of rainfall, runoff, and sediment yield in the western Mediterranean basin

Author

Peña-Angulo, D., Nadal-Romero, E., González-Hidalgo, J.C., Albaladejo, J., Andreu, V., Barhi, H., Bernal, S., Biddoccu, M., Bienes, R., Campo, J., Campo-Bescós, M.A., Canatário-Duarte, A., Cantón, Y., Casali, J., Castillo, V., Cavallo, E., Cerdà, A., Cid, P., Cortesi, N., Desir, G., Díaz-Pereira, E., Espigares, T., Estrany, J., Farguell, J., Fernández-Raga, M., Ferreira, C.S., Ferro, V., Gallart, F., Giménez, R., Gimeno, E., Gómez, J.A., Gómez-Gutiérrez, A., Gómez-Macpherson, H., González-Pelayo, O., Kairis, O., Karatzas, G.P., Keesstra, S., Klotz, S., Kosmas, C., Lana-Renault, N., Lasanta, T., Latron, J., Lázaro, R., Le Bissonnais, Y., Le Bouteiller, C., Licciardello, F., López-Tarazón, J.A., Lucía, A., Marín-Moreno, V.M., Marín, C., Marqués, M.J., Martínez-Fernández, J., Martínez-Mena, M., Mateos, L., Mathys, N., Merino-Martín, L., Moreno-de las Heras, M., Moustakas, N., Nicolau, J.M., Pampalone, V., Raclot, D., Rodríguez-Blanco, M.L., Rodrigo-Comino, J., Romero-Díaz, A., Ruiz-Sinoga, J.D., Rubio, J.L., Schnabel, S., Senciales-González, J.M., Solé-Benet, A., Taguas, E.V., Taboada-Castro, M.T., Taboada-Castro, M.M., Todisco, F., Úbeda, X., Varouchakis, E.A., Wittenberg, L., Zabaleta, A., Zorn, M., Peña-Angulo, D., Nadal-Romero, E., González-Hidalgo, J.C., Albaladejo, J., Andreu, V., Barhi, H., Bernal, S., Biddoccu, M., Bienes, R., Campo, J., Campo-Bescós, M.A., Canatário-Duarte, A., Cantón, Y., Casali, J., Castillo, V., Cavallo, E., Cerdà, A., Cid, P., Cortesi, N., Desir, G., Díaz-Pereira, E., Espigares, T., Estrany, J., Farguell, J., Fernández-Raga, M., Ferreira, C.S., Ferro, V., Gallart, F., Giménez, R., Gimeno, E., Gómez, J.A., Gómez-Gutiérrez, A., Gómez-Macpherson, H., González-Pelayo, O., Kairis, O., Karatzas, G.P., Keesstra, S., Klotz, S., Kosmas, C., Lana-Renault, N., Lasanta, T., Latron, J., Lázaro, R., Le Bissonnais, Y., Le Bouteiller, C., Licciardello, F., López-Tarazón, J.A., Lucía, A., Marín-Moreno, V.M., Marín, C., Marqués, M.J., Martínez-Fernández, J., Martínez-Mena, M., Mateos, L., Mathys, N., Merino-Martín, L., Moreno-de las Heras, M., Moustakas, N., Nicolau, J.M., Pampalone, V., Raclot, D., Rodríguez-Blanco, M.L., Rodrigo-Comino, J., Romero-Díaz, A., Ruiz-Sinoga, J.D., Rubio, J.L., Schnabel, S., Senciales-González, J.M., Solé-Benet, A., Taguas, E.V., Taboada-Castro, M.T., Taboada-Castro, M.M., Todisco, F., Úbeda, X., Varouchakis, E.A., Wittenberg, L., Zabaleta, A., and Zorn, M.

Abstract

Rainfall is the key factor to understand soil erosion processes, mechanisms, and rates. Most research was conducted to determine rainfall characteristics and their relationship with soil erosion (erosivity) but there is little information about how atmospheric patterns control soil losses, and this is important to enable sustainable environmental planning and risk prevention. We investigated the temporal and spatial variability of the relationships of rainfall, runoff, and sediment yield with atmospheric patterns (weather types, WTs) in the western Mediterranean basin. For this purpose, we analyzed a large database of rainfall events collected between 1985 and 2015 in 46 experimental plots and catchments with the aim to: (i) evaluate seasonal differences in the contribution of rainfall, runoff, and sediment yield produced by the WTs; and (ii) to analyze the seasonal efficiency of the different WTs (relation frequency and magnitude) related to rainfall, runoff, and sediment yield. The results indicate two different temporal patterns: the first weather type exhibits (during the cold period: autumn and winter) westerly flows that produce the highest rainfall, runoff, and sediment yield values throughout the territory; the second weather type exhibits easterly flows that predominate during the warm period (spring and summer) and it is located on the Mediterranean coast of the Iberian Peninsula. However, the cyclonic situations present high frequency throughout the whole year with a large influence extended around the western Mediterranean basin. Contrary, the anticyclonic situations, despite of its high frequency, do not contribute significantly to the total rainfall, runoff, and sediment (showing the lowest efficiency) because of atmospheric stability that currently characterize this atmospheric pattern. Our approach helps to better understand the relationship of WTs on the seasonal and spatial variability of rainfall, runoff and sediment yield with a regional scale ba

Published
2020

6. A model for estimating flood damage in Italy: preliminary results

Author

Luino F., Chiarle M., Nigrelli G., Godone F., Agangi A., Biddoccu M., Cirio C.G., and Giulietto W.

Subjects
Hydrology, education.field_of_study, Flood myth, business.industry, Population, Land-use planning, Land administration, Geography, Set-aside, Econometrics, Asset (economics), education, business, Risk management, Event (probability theory)
Abstract

Floods are a very common natural process in Italy. In the 20-year period from 1980 to 2000 the State set aside 7,400 million euro for flood damage, or roughly one million euro per day. With this study we developed a flood damage estimation model which land administration bodies and insurance companies could find useful in the management of flood-related damage data. The model simulates event scenarios and evaluates expected economic losses. Potential economic loss assessment implies knowledge of the event, exposed asset values and the degree of damage. Following a widely shared simplifying assumption, flood water level was taken as the only factor indicating event magnitude. The model incorporates the following steps: a) event description: definition of flood parameters (flooded area and water level), utilizing real-time measurements or data from event simulation with a hydraulic model; b) asset damage and identification of the affected population; c) evaluation of the degree of damage as a function of event magnitude; d) attribution of an economic value to different exposed assets; e) quantification of economic loss by multiplying economic losses and damage severity. The method could be used either as a forecasting tool to define event scenarios or for “real-time” damage assessment after a catastrophe. The approach is suitable primarily to large-area damage assessment but could also be appropriate for land use planning, civil protection, and risk mitigation.

Published
2006

7. Soil erosion modelling: A global review and statistical analysis

Author

Borrelli, P., Alewell, C., Alvarez, Pablo, Anache, J. A. A., Baartman, J., Ballabio, C., Bezak, N., 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., Märker, M., Matthews, F., Miao, C., Mikoš, M., 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, P. T., Teng, H., Thapa, R., Vantas, K., Vieira, D., Yang, J. E., Yin, S., Zema, D. A., Zhao, G., and Panagos, P.

Subjects
Erosion rates, Land sustainability, Land degradation, 15. Life on land, GIS, Policy support, Modelling
Abstract

To gain a better understanding of the global application of soil erosion prediction models, we comprehensivelyreviewed relevant peer-reviewed research literature on soil-erosion modelling published between 1994 and2017. We aimed to identify (i) the processes and models most frequently addressed in the literature, (ii) the re-gions 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 per-form this task, we combined the collective knowledge of 67 soil-erosion scientists from 25 countries. Theresulting database, named‘Global Applications of Soil Erosion Modelling Tracker (GASEMT)’, includes 3030 indi-vidual modelling records from 126 countries, encompassing all continents (except Antarctica). Out of the 8471articles identified as potentially relevant, we reviewed 1697 appropriate articles and systematically evaluatedand transferred 42 relevant attributes into the database. This GASEMT database provides comprehensive insightsinto the state-of-the-art of soil- erosion models and model applications worldwide. This database intends to sup-port the upcoming country-based United Nations global soil-erosion assessment in addition to helping to informsoil erosion research priorities by building a foundation for future targeted, in-depth analyses. GASEMT is anopen-source database available to the entire user-community to develop research, rectify errors, andmakefutureexpansions

8. Soil erosion modelling: A bibliometric analysis

Author

Bezak, N., Mikoš, M., Borrelli, P., Alewell, C., Alvarez, P., Anache, J. A. A., 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, P. T., Teng, H., Thapa, R., Vantas, K., Vieira, D., Yang, J. E., Yin, S., Zema, D. A., Zhao, G., and Panagos, P.

Subjects
Research impact, Citation analysis, 13. Climate action, Soil erosion modelling, Systematic literature review, Participatory network, 15. Life on land
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.

9. Soil erosion modelling: A bibliometric analysis

Author

Chiyuan Miao, Markus Möller, Cristiano Ballabio, Peter Fiener, Ivan Lizaga Villuendas, Mark A. Nearing, Nikolaos Efthimiou, Jae E. Yang, Christine Alewell, Francesco Gentile, Anna Maria De Girolamo, Aliakbar Nazari Samani, Andreas Gericke, Paulo Tarso Sanches de Oliveira, Amelie Jeanneau, Pablo Alvarez, Konstantinos Kaffas, Diogo Noses Spinola, Marcella Biddoccu, Nejc Bezak, Pasquale Borrelli, Guangju Zhao, Michele Freppaz, Gizaw Desta Gessesse, Jesús Rodrigo-Comino, Sergio Saia, Luigi Lombardo, Diana Vieira, Hongfen Teng, Mahboobeh Kiani-Harchegani, Walter W. Chen, Nazzareno Diodato, Changjia Li, Calogero Schillaci, Detlef Deumlich, Shuiqing Yin, Raquel de Castro Portes, Gunay Erpul, Jamil Alexandre Ayach Anache, Laura Quijano, Konstantinos Vantas, Nigussie Haregeweyn, Artemi Cerdà, Mohammed Renima, Sirio Modugno, Laura Poggio, Cristian Valeriu Patriche, Edouard Patault, Manuel Esteban Lucas-Borja, Vasileios Syrris, Demetrio Antonio Zema, Jantiene Baartman, Mohammad Reza Rahdari, Michael Maerker, Devraj Chalise, Bifeng Hu, Hyuck Soo Kim, Giovanni Francesco Ricci, Dinesh Panday, Matjaž Mikoš, Stephen Owusu, Panos Panagos, Songchao Chen, Victoria Naipal, Manuel López-Vicente, Resham Thapa, Department of Earth Systems Analysis, UT-I-ITC-4DEarth, Faculty of Geo-Information Science and Earth Observation, Bezak, N., Mikos, M., Borrelli, P., Alewell, C., Alvarez, P., Anache, J. A. A., Baartman, J., Ballabio, C., Biddoccu, M., Cerda, 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., Lopez-Vicente, M., Lucas-Borja, M. E., Maerker, M., Miao, C., Modugno, S., Moller, 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, P. T., Teng, H., Thapa, R., Vantas, K., Vieira, D., Yang, J. E., Yin, S., Zema, D. A., Zhao, G., Panagos, P., Slovenian Research Agency, Fundação para a Ciência e a Tecnologia (Portugal), Korea Environmental Industry & Technology Institute, Ministry of Science and Technology (Taiwan), Lizaga Villuendas, Iván [0000-0003-4372-5901], Quijano Gaudes, Laura [0000-0002-2334-2818], Lizaga Villuendas, Iván, Quijano Gaudes, Laura, University of Ljubljana, University of Pavia, Kangwon National University, University of Basel (Unibas), Karlsruhe Institute of Technology (KIT), National University of Loja, University of São Paulo (USP), FEDERAL UNIVERSITY OF MATO GROSSO DO SUL CAMPO GRANDE BRA, Partenaires IRSTEA, Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), Wageningen University and Research [Wageningen] (WUR), European Commission - Joint Research Centre [Ispra] (JRC), Institute of Sciences and Technologies for Sustainable Energy and Mobility ( (STEMS)), National Research Council of Italy, University of Valencia,Valencia, SCHOOL OF ENVIRONMENTAL AND RURAL SCIENCE UNIVERSITY OF NEW ENGLAND ARMIDALE AUS, InfoSol (InfoSol), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), National Taipei University of technology [Taipei] (TAIPEI TECH), National Taipei University of Technology, WATER RESEARCH INSTITUTE NATIONAL RESEARCH COUNCIL ROME, ITA, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Leibniz-Center for Agricultural Landscape Research Muencheberg (ZALF), Met European Research Observatory (MetEROBS), Czech University of Life Sciences Prague (CZU), University of Ankara, Universität Augsburg [Augsburg], University of Turin, University of Bari Aldo Moro (UNIBA), Leibniz Institute of Freshwater Ecology and Inland Fisheries (IGB), Tottori University, Jiangxi University of Finance and Economics (JUFE), University of Adelaide, Free University of Bozen-Bolzano, Yazd University, Spanish National Research Council (CSIC), Beijing Normal University (BNU), University of Twente [Netherlands], Wageningen Environmental Research (Alterra), University of Castilla-La Mancha (UCLM), World Food Programme (WFP), United Nations, University of Leicester, Julius Kühn Institute (JKI), Ecole Normale Supérieure Paris-Saclay (ENS Paris Saclay), Southwest Watershed Research Center, USDA-ARS : Agricultural Research Service, Soil Research Institute, University of Nebraska [Lincoln], University of Nebraska System, Normandie Université (NU), Romanian Academy, World Soil Information (ISRIC), Minas Gerais State University, Université Catholique de Louvain = Catholic University of Louvain (UCL), University of Torbat Heydarieh, University Hassiba Benbouali of Chlef, Trier University of Applied Sciences, University of Pisa - Università di Pisa, University of Tehran, University of Milan, University of Alaska [Fairbanks] (UAF), Wuhan Institute of Technology, Wuhan University [China], University of Maryland [Baltimore], Aristotle University of Thessaloniki, Department of Environment and Planning (DAO), Centre for Environmental and Marine Studies (CESAM), University of Aveiro, Aveiro, Portugal, Mediterranean University of Reggio Calabria, and Northwest A and F University

Subjects
Research impact, Calibration (statistics), Geography & travel, Decision tree, Participatory network, Agricultural engineering, [SDV.SA.SDS]Life Sciences [q-bio]/Agricultural sciences/Soil study, 010501 environmental sciences, Participatory modeling, 01 natural sciences, Biochemistry, Bibliometric, ITC-HYBRID, 03 medical and health sciences, Soil, 0302 clinical medicine, Citation analysis, Benchmark (surveying), Soil erosion modelling, Systematic literature review, Agriculture, Publications, Bibliometrics, Soil Erosion, ddc:550, 030212 general & internal medicine, 0105 earth and related environmental sciences, General Environmental Science, ddc:910, WIMEK, Bodemfysica en Landbeheer, 15. Life on land, PE&RC, Bibliographic coupling, Soil Physics and Land Management, 13. Climate action, Citation analysi, ITC-ISI-JOURNAL-ARTICLE, Erosion, Environmental science, Publication, Scale (map), ISRIC - World Soil Information
Abstract

16 Pags.- 12 Figs.- 8 Tabls., 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., Nejc Bezak and Matjaž Mikoš would like to acknowledge the support of the Slovenian Research Agency through grant P2-0180. Diana Vieira is funded by national funds (OE), through FCT – Fundação para a Ciência e a Tecnologia, I.P., in the scope of the framework contract foreseen - DL57/2016 (CDL-CTTRI-97-ARH/2018 - REF.191-97-ARH/2018), and acknowledges CESAM financial support of through (UIDP/50017/2020+UIDB/50017/2020). Jae E. Yang and Pasquale Borrelli are funded by the EcoSSSoil Project, Korea Environmental Industry & Technology Institute (KEITI), Korea (Grant No. 2019002820004). Walter Chen is funded by the Ministry of Science and Technology (Taiwan) Research Project (Grant Number MOST 109-2121-M-027-001).

Published
2021
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10. Soil erosion modelling: a global review and statistical analysis

Author

Marcella Biddoccu, Matjaž Mikoš, Stephen Owusu, Panos Panagos, Songchao Chen, Cristian Valeriu Patriche, Amelie Jeanneau, Aliakbar Nazari Samani, Manuel Esteban Lucas-Borja, Shuiqing Yin, Raquel de Castro Portes, Mahboobeh Kiani-Harchegani, Artemi Cerdà, Laura Poggio, Bifeng Hu, Peter Fiener, Mark A. Nearing, Diogo Noses Spinola, Michele Freppaz, Francis Matthews, Jantiene Baartman, Walter W. Chen, Pablo Alvarez, Konstantinos Kaffas, Nejc Bezak, Pasquale Borrelli, Anna Maria De Girolamo, Guangju Zhao, Andreas Gericke, Nikolaos Efthimiou, Changjia Li, Hyuck Soo Kim, Konstantinos Vantas, Paulo Tarso Sanches de Oliveira, Sergio Saia, Luigi Lombardo, Nazzareno Diodato, Nigussie Haregeweyn, Michael Märker, Gizaw Desta Gessesse, Jesús Rodrigo-Comino, Jae E. Yang, Victoria Naipal, Markus Möller, Cristiano Ballabio, Christine Alewell, Detlef Deumlich, Resham Thapa, Devraj Chalise, Vasileios Syrris, Chiyuan Miao, Manuel López-Vicente, Francesco Gentile, Laura Quijano, Diana Vieira, Sirio Modugno, Gunay Erpul, Calogero Schillaci, Mohammed Renima, Edouard Patault, Giovanni Francesco Ricci, Jamil Alexandre Ayach Anache, Demetrio Antonio Zema, Mohammad Reza Rahdari, Dinesh Panday, Hongfen Teng, Ivan Lizaga Villuendas, Borrelli, P., Alewell, C., Alvarez, P., Anache, J. A. A., Baartman, J., Ballabio, C., Bezak, N., Biddoccu, M., Cerda, 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., Lopez-Vicente, M., Lucas-Borja, M. E., Marker, M., Matthews, F., Miao, C., Mikos, M., Modugno, S., Moller, 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, P. T., Teng, H., Thapa, R., Vantas, K., Vieira, D., Yang, J. E., Yin, S., Zema, D. A., Zhao, G., Panagos, P., InfoSol (InfoSol), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Korea Environmental Industry & Technology Institute, Fundação para a Ciência e a Tecnologia (Portugal), Ministry of Science and Technology (Taiwan), Slovenian Research Agency, Lizaga Villuendas, Iván, Quijano Gaudes, Laura, López-Vicente, Manuel, Lizaga Villuendas, Iván [0000-0003-4372-5901], Quijano Gaudes, Laura [0000-0002-2334-2818], and López-Vicente, Manuel [0000-0002-6379-8844]

Subjects
Research literature, Environmental Engineering, Erosion rates, 010504 meteorology & atmospheric sciences, Computer science, Geography & travel, Review, [SDV.SA.SDS]Life Sciences [q-bio]/Agricultural sciences/Soil study, 010501 environmental sciences, Erosion rate, 01 natural sciences, Policy support, Modelling, ITC-HYBRID, GIS, Land degradation, Land sustainability, ddc:550, Environmental Chemistry, Statistical analysis, Waste Management and Disposal, 0105 earth and related environmental sciences, ddc:910, WIMEK, business.industry, Environmental resource management, Collective intelligence, Bodemfysica en Landbeheer, 15. Life on land, PE&RC, Pollution, Soil Physics and Land Management, ITC-ISI-JOURNAL-ARTICLE, Sustainability, Erosion, business, ISRIC - World Soil Information, Predictive modelling
Abstract

40 Pags.- 10 Figs.- 2 Tabls.- Suppl. Informat. The definitive version is available at: https://www.sciencedirect.com/science/journal/00489697, 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., Jae E. Yang and Pasquale Borrelli are funded by the EcoSSSoil Project, Korea Environmental Industry & Technology Institute (KEITI), Korea (Grant No. 2019002820004). Diana Vieira is funded by national funds (OE), through FCT – Fundação para a Ciência e a Tecnologia, I.P., in the scope of the framework contract foreseen - DL57/2016 (CDL-CTTRI-97-ARH/2018 - REF.191-97-ARH/2018), and acknowledges CESAM financial support of through (UIDP/50017/2020+UIDB/50017/2020). Walter Chen is funded by the Ministry of Science and Technology (Taiwan) Research Project (Grant Number MOST 109-2121-M-027-001). Nejc Bezak and Matjaž Mikoš would like to acknowledge the support of the Slovenian Research Agency through grant P2-0180.

Published
2021
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11. Relationship of Weather Types on the Seasonal and Spatial Variability of Rainfall, Runoff, and Sediment Yield in the Western Mediterranean Basin

Author

Álvaro Gómez-Gutiérrez, Feliciana Licciardello, Marcella Biddoccu, Susana Bernal, Victor Castillo, José Carlos González-Hidalgo, Costas Kosmas, Ramón Bienes, Juan Albaladejo, Susanne Schnabel, Artemio Cerdà, Ana Lucía, José Damián Ruiz-Sinoga, Luis Merino-Martín, Xavier Úbeda, Yolanda Cantón, Emmanouil A. Varouchakis, Francesc Gallart, Antonio Canatário-Duarte, Vincenzo Pampalone, Patricio Cid, Dhais Peña-Angulo, N. Mathys, José Andrés López-Tarazón, Jérôme Latron, Sébastien Klotz, Matija Zorn, Damien Raclot, Elvira Díaz-Pereira, Maria Jose Marques, María Martínez-Mena, Óscar González-Pelayo, Albert Solé-Benet, E. Gimeno, María Fernández-Raga, Noemí Lana-Renault, Carla Ferreira, George P. Karatzas, N. Moustakas, Helena Gómez-Macpherson, Francesca Todisco, Teodoro Lasanta, C. Le Bouteiller, Joan Estrany, Vicente Andreu, M. L. Rodríguez-Blanco, José M. Nicolau, José Luis Rubio, Orestis Kairis, M. Mercedes Taboada-Castro, Miguel A. Campo-Bescós, Eugenio Cavallo, Tíscar Espigares, Saskia Keesstra, Luciano Mateos, H. Bahri, José A. Gómez, Y. Le Bissonnais, Jesús Rodrigo-Comino, José María Senciales-González, A. Zabaleta, Lea Wittenberg, Mariano Moreno-de las Heras, Vito Ferro, M.T. Taboada-Castro, Javier Casalí, Nicola Cortesi, Rafael Giménez, Asunción Romero-Díaz, C. Marín, Estela Nadal-Romero, J. Farguell, Julián Campo, José Martínez-Fernández, G. Desir, V.M. Marín-Moreno, Roberto Lázaro, Encarnación V. Taguas, Instituto Universitario de Ciencias Ambientales (IUCA), Departamento de Geografía, University of Zaragoza - Universidad de Zaragoza [Zaragoza], Departamento de Química Física, Facultad de Ciencias Quimicas, Desertification Research Centre, Department of Environmental Quality and Soils, Consejo Superior de Investigaciones Científicas [Madrid] (CSIC), Institut National de Recherche en Génie Rural Eaux et Forêts (INRGREF), Ecole Nationale du Génie Rural, des Eaux et des Forêts (ENGREF)-Institution de la Recherche et de l'Enseignement Supérieur Agricoles [Tunis] (IRESA), Integrative Freshwater Ecology Group, Centre d’Estudis Avançats de Blanes, Institute for Agricultural and Earthmoving Machines, National Research Council of Italy | Consiglio Nazionale delle Ricerche (CNR), Departamento Investigación Aplicada y Extensión Agraria, Instituto Madrileño de Investigación y Desarrollo Rural, Agrario y Alimentario (IMIDRA), ISFOOD Institute, Department of Projects and Rural Engineering, Universidad Pública de Navarra [Espagne] = Public University of Navarra (UPNA), School of Agriculture, Food and Rural Development, Department of Agronomy (Soil Science Area), University of Almeria, Soil and Water Conservation Research Group, Centro de Edafologia y Biologia Aplicada del Segura, Department of Geography, Soil Erosion and Degradation Research Group, Universitat de València (UV), Laboratorio Nacional de Genómica para la Biodiversidad (LANGEBIO), Maize Genetics and Genomics Lab, CINVESTAV, Department of Earth Sciences, Barcelona Supercomputing Center - Centro Nacional de Supercomputacion (BSC - CNS), Departamento de Ciencias de la Tierra, Departamento de Ciencias de la Vida, Unidad de Ecología, Universidad de Alcalá de Henares (UAH), Department of Geography, Mediterranean Ecogeomorphological and Hydrological Connectivity Research Team (MEDhyCON), University of the Balearic Islands (UIB), Mediterranean Environmental Research Group, Department of Physical Geography and Regional Geographic Analysis (GRAM), University of Barcelona, Department of Applied Chemistry and Physics, University of Leon, College of Agriculture, Research Centre for Natural Resources, Environment and Society (CERNAS), Instituto Politécnico de Coimbra, Department of Earth and Marine Sciences [Palermo], Università degli studi di Palermo - University of Palermo, Institute of Earth Sciences Jaume Almera, Instituto de Agricultura Sostenible - Institute for Sustainable Agriculture (IAS CSIC), INTERRA Research Institute, Universidad de Extremadura - University of Extremadura (UEX), Department of Environment and Planning, Earth Surface Processes Team (ESP) Centre for Environmental and Marine Studies (CESAM), Universidade de Aveiro, Department of Natural Resources Management and Agricultural Engineering, Agricultural University of Athens, School of Environmental Engineering [Chania], Technical University of Crete [Chania], Team Soil Water and Land Use, Wageningen Environmental Research, Wageningen UR, Erosion torrentielle neige et avalanches (UR ETGR (ETNA)), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Area of Physical Geography, DCH, Universidad de la Rioja, Instituto Pirenaico de Ecologìa = Pyrenean Institute of Ecology [Zaragoza] (IPE - CSIC), Institute of Environmental Assessment and Water Research (IDAEA), Experimental Station of Arid Zones (EEZA), Consejo Superior de Investigaciones Científicas, Laboratoire d'étude des Interactions Sol - Agrosystème - Hydrosystème (UMR LISAH), Institut de Recherche pour le Développement (IRD)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro - Montpellier SupAgro, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Physical and Regional Geography Research Group, Université Catholique de Louvain = Catholic University of Louvain (UCL), Universitat de Lleida, University of Potsdam = Universität Potsdam, Faculty of Sciences, Center for Applied Geosciences, Eberhard Karls Universität Tübingen = Eberhard Karls University of Tuebingen, Universidad de Córdoba = University of Córdoba [Córdoba], Universidade do Porto = University of Porto, Instituto Hispano Luso de Investigaciones Agrarias, Universidad de Salamanca, Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Centre d’Ecologie Fonctionnelle et Evolutive (CEFE), Université Paul-Valéry - Montpellier 3 (UPVM)-École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro - Montpellier SupAgro, Department of Agricultural, Food and Forest Sciences, Laboratoire commun de télédétection (UR LCMO), Centre national du machinisme agricole, du génie rural, des eaux et forêts (CEMAGREF), University of Vigo [ Pontevedra], Physical Geography, Trier University, Departamento de Geografía, Universidad de Cantabria [Santander], Universidad de Málaga [Málaga] = University of Málaga [Málaga], Faculty of Sciences, Centre for Advanced Scientific Research (CICA), University of A Coruña (UDC), Department of Agriculture-Food and Environmental Sciences, Agricultural and Biosystems Engineering Research Unit, Università degli Studi di Perugia = University of Perugia (UNIPG), Departamento de Geografía, Grup de Recerca Ambiental Mediterrània, Department of Geography and Environmental Studies, University of Nairobi (UoN), Science and Technology Faculty, Hydro-Environmental Processes Research Group, University of the Basque Country (University of the Basque Country), Geographical Institute, Scientific Research Center of the Slovenian Academy of Sciences and Arts (ZRC SAZU), Spanish Government (Ministry of Economy and Competitiveness, MINECO) and FEDER Projects: CGL2014 52135-C3-3-R, ESP2017-89463-C3-3-R, CGL2014-59946-R, CGL2015-65569-R, CGL2015-64284-C2-2-R, CGL2015-64284-C2-1-R, CGL2016-78075-P, GL2008-02879/BTE, LEDDRA 243857, RECARE-FP7, CGL2017-83866-C3-1-R, and PCIN-2017-061/AEI. Dhais Pena-Angulo received a 'Juan de la Cierva' postdoctoral contract (FJCI-2017-33652 Spanish Ministry of Economy and Competitiveness, MEC). Ana Lucia acknowledge the 'Brigitte-Schlieben-Lange-Programm'. The 'Geoenvironmental Processes and Global Change' (E02_17R) was financed by the Aragon Government and the European Social Fund. Jose Andres Lopez-Tarazon acknowledges the Secretariat for Universities and Research of the Department of the Economy and Knowledge of the Autonomous Government of Catalonia for supporting the Consolidated Research Group 2014 SGR 645 (RIUS-Fluvial Dynamics Research Group). Artemi Cerda thank the funding of the OCDE TAD/CRP JA00088807. Jose Martinez-Fernandez acknowledges the project Unidad de Excelencia CLU-2018-04 co-funded by FEDER and Castilla y Leon Government. Ane Zabaleta is supported by the Hydro-Environmental Processes consolidated research group (IT1029-16, Basque Government)., Ministerio de Economía y Competitividad (España), Ministerio de Ciencia, Innovación y Universidades (España), Agencia Estatal de Investigación (España), European Commission, Gobierno de Aragón, Eusko Jaurlaritza, Generalitat de Catalunya, Junta de Castilla y León, Universidad Pública de Navarra. Departamento de Ingeniería, Universidad Pública de Navarra / Nafarroako Unibertsitate Publikoa. ISFOOD - Institute for Innovation and Sustainable Development in Food Chain, Nafarroako Unibertsitate Publikoa. Ingeniaritza Saila, University of Zaragoza, CNR - National Research Council of Italy, Universidad Pública de Navarra, Université de Valence, University of Extremadura, Instituto Pirenaico de Ecologia (IPE), Institut de Recherche pour le Développement (IRD)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), University of Potsdam, Eberhard Karls University Tübingen, Universidad de Córdoba [Cordoba], Instrumentation, Material and Correlated Electrons Physics (IMAPEC), PHotonique, ELectronique et Ingénierie QuantiqueS (PHELIQS), Institut de Recherche Interdisciplinaire de Grenoble (IRIG), Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Grenoble Alpes (UGA)-Institut de Recherche Interdisciplinaire de Grenoble (IRIG), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Grenoble Alpes (UGA), Universidade do Porto, Université Paul-Valéry - Montpellier 3 (UPVM)-Centre National de la Recherche Scientifique (CNRS)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Université de Montpellier (UM), Università degli Studi di Perugia (UNIPG), Barcelona Supercomputing Center, UAM. Departamento de Geología y Geoquímica, Pena-Angulo D., Nadal-Romero E., Gonzalez-Hidalgo J.C., Albaladejo J., Andreu V., Barhi H., Bernal S., Biddoccu M., Bienes R., Campo J., Campo-Bescos M.A., Canatario-Duarte A., Canton Y., Casali J., Castillo V., Cavallo E., Cerda A., Cid P., Cortesi N., Desir G., Diaz-Pereira E., Espigares T., Estrany J., Farguell J., Fernandez-Raga M., Ferreira C.S., Ferro V., Gallart F., Gimenez R., Gimeno E., Gomez J.A., Gomez-Gutierrez A., Gomez-Macpherson H., Gonzalez-Pelayo O., Kairis O., Karatzas G.P., Keesstra S., Klotz S., Kosmas C., Lana-Renault N., Lasanta T., Latron J., Lazaro R., Bissonnais Y.L., Bouteiller C.L., Licciardello F., Lopez-Tarazon J.A., Lucia A., Marin-Moreno V.M., Marin C., Marques M.J., Martinez-Fernandez J., Martinez-Mena M., Mateos L., Mathys N., Merino-Martin L., Moreno-de las Heras M., Moustakas N., Nicolau J.M., Pampalone V., Raclot D., Rodriguez-Blanco M.L., Rodrigo-Comino J., Romero-Diaz A., Ruiz-Sinoga J.D., Rubio J.L., Schnabel S., Senciales-Gonzalez J.M., Sole-Benet A., Taguas E.V., Taboada-Castro M.T., Taboada-Castro M.M., Todisco F., Ubeda X., Varouchakis E.A., Wittenberg L., Zabaleta A., Zorn M., Université Paul-Valéry - Montpellier 3 (UPVM)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-École pratique des hautes études (EPHE), and Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro)

Subjects
Mediterranean climate, Western Mediterranean, Rainfall, Atmospheric Science, Water en Landgebruik, 010504 meteorology & atmospheric sciences, Climate, analyses, Sedimentació, 02 engineering and technology, [SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics, Phylogenetics and taxonomy, 01 natural sciences, Mediterranean Basin, Soil, Bodem, Lluvia, Soil, Water and Land Use, Geología, weather types, rainfall, runoff, erosion, sediment yield, seasonal analyses, Mediterranean basin, Erosion, Mediterranean basin, Rainfall, Runoff, Seasonal analyses, Sediment yield, Weather types, 020701 environmental engineering, Precipitacions (Meteorologia), Sediment yield, Edafología, [SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/Botanics, PE&RC, 2502 Climatología, Drenatge, 6. Clean water, Weather types, Tipos de clima, Erosión, Precipitations (Meteorology), 2511 Ciencias del Suelo (Edafología), 2508.10 Precipitación, Seasonal analyses, Anticyclone, Erosió, Erosion, Drainage, Mediterrània occidental, Soil erosion--Climatic factors, Cuenca mediterranea, Runoff, 0207 environmental engineering, Environmental Science (miscellaneous), lcsh:QC851-999, complex mixtures, [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems, Atmospheric instability, Settore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-Forestali, Datasets, 0105 earth and related environmental sciences, Mediterraneanbasin, Hydrology, Water and Land Use, Rainfal, fungi, Sediment, Sedimentation and deposition, seasonal, 15. Life on land, Atmosfera -- Aspectes ambientals, Bodem, Water en Landgebruik, 13. Climate action, Enginyeria agroalimentària::Ciències de la terra i de la vida [Àrees temàtiques de la UPC], Soil erosion, Environmental science, Rainfall frequencies, Spatial variability, lcsh:Meteorology. Climatology, Clima, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, Surface runoff
Abstract

Producción Científica, Rainfall is the key factor to understand soil erosion processes, mechanisms, and rates. Most research was conducted to determine rainfall characteristics and their relationship with soil erosion (erosivity) but there is little information about how atmospheric patterns control soil losses, and this is important to enable sustainable environmental planning and risk prevention. We investigated the temporal and spatial variability of the relationships of rainfall, runoff, and sediment yield with atmospheric patterns (weather types, WTs) in the western Mediterranean basin. For this purpose, we analyzed a large database of rainfall events collected between 1985 and 2015 in 46 experimental plots and catchments with the aim to: (i) evaluate seasonal differences in the contribution of rainfall, runoff, and sediment yield produced by the WTs; and (ii) to analyze the seasonal efficiency of the different WTs (relation frequency and magnitude) related to rainfall, runoff, and sediment yield. The results indicate two different temporal patterns: the first weather type exhibits (during the cold period: autumn and winter) westerly flows that produce the highest rainfall, runoff, and sediment yield values throughout the territory; the second weather type exhibits easterly flows that predominate during the warm period (spring and summer) and it is located on the Mediterranean coast of the Iberian Peninsula. However, the cyclonic situations present high frequency throughout the whole year with a large influence extended around the western Mediterranean basin. Contrary, the anticyclonic situations, despite of its high frequency, do not contribute significantly to the total rainfall, runoff, and sediment (showing the lowest efficiency) because of atmospheric stability that currently characterize this atmospheric pattern. Our approach helps to better understand the relationship of WTs on the seasonal and spatial variability of rainfall, runoff and sediment yield with a regional scale based on the large dataset and number of soil erosion experimental stations., Ministerio de Economía y Competitividad - FEDER (CGL2014 52135-C3-3-R; ESP2017-89463-C3-3-R; CGL2014-59946-R; CGL2015-65569-R; CGL2015-64284- C2-2-R; CGL2015-64284-C2-1-R; CGL2016-78075-P; GL2008-02879/BTE; LEDDRA 243857; RECARE-FP7; CGL2017-83866-C3-1-R y PCIN-2017- 061/AEI), Ministerio de Economía y Competitividad (FJCI-2017-33652), Organización para la Cooperación y el Desarrollo Económicos (TAD/CRP JA00088807), Junta de Castilla y León - FEDER (CLU-2018-04)

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12. How the EU Soil Observatory contributes to a stronger soil erosion community.

Author

Panagos P, Vieira D, Eekhout JPC, Biddoccu M, Cerdà A, Evans DL, Tavoularis N, Bezak N, Negrel P, Katsoyiannis A, and Borrelli P

Subjects
Humans, Agriculture, Europe, Policy Making, Conservation of Natural Resources, Soil, Soil Erosion
Abstract

New policy developments have emerged in relation to soil conservation after 2020. The Common Agricultural Policy (CAP) 2023-2027, the proposal for a Soil Monitoring Law and the mission 'A Soil Deal for Europe' have shaped a new policy framework at EU level, which requires updated assessments on soil erosion and land degradation. The EU Soil Observatory (EUSO) successfully organised a scientific workshop on 'Soil erosion for the EU' in June 2022. The event has seen the participation of more than 330 people from 63 countries, addressing important topics such as (i) management practices, (ii) large scale modelling, (iii) the importance of sediments in nutrient cycle, (vi) the role of landslides and (v) laying the foundations for early career scientists. As a follow up, among the 120 abstracts submitted in the workshop, we received fifteen manuscripts, out of which nine were selected for publication in the present special issue. In this editorial, we summarize the major challenges that the soil erosion research community faces in relation to supporting the increasing role of soils in the EU Green Deal., Competing Interests: Declaration of competing interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests:Panos Panagos reports financial support was provided by European Commission, Joint Research Centre, Ispra. Panos Panagos reports a relationship with European Commission Joint Research Centre Ispra that includes: employment. If there are other authors, they declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.)

Published
2024
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13. "Estimating soil surface roughness by proximal sensing for soil erosion modeling implementation at field scale".

Author

Matranga G, Palazzi F, Leanza A, Milella A, Reina G, Cavallo E, and Biddoccu M

Subjects
Soil Erosion, Reproducibility of Results, Farms, Soil, Agriculture methods
Abstract

Soil Surface Roughness (SSR) is a physical feature of soil microtopography, which is strongly influenced by tillage practices and plays a key role in hydrological and soil erosion processes. Therefore, surface roughness indices are required when using models to estimate soil erosion rates, where tabular values or direct measurements can be used. Field measurements often imply out-of-date and time-consuming methods, such as the pin meter and the roller chain, providing inaccurate indices. A novel technique for SSR measurement has been adopted, employing an RGB-Depth camera to produce a small-scale Digital Elevation Model of the soil surface, in order to extrapolate roughness indices. Canopy cover coverage (CC) of the cover crop was also detected from the camera's images. The values obtained for SSR and CC indices were implemented in the MMF (Morgan-Morgan-Finney) model, to validate the reliability of the proposed methodology by comparing the models' results for sediment yields with long-term soil erosion measurements in sloping vineyards in NW Italy. The performance of the model in predicting soil losses was satisfactory to good for a vineyard plot with inter-rows managed with recurrent tillage, and it was improved using spatialized soil roughness input data with respect to a uniform value. Performance for plot with permanent ground cover was not so good, however it was also improved using spatialized data. The measured values were also useful to obtain C-factor for RUSLE application, to be used instead of tabular values., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023 The Authors. Published by Elsevier Inc. All rights reserved.)

Published
2023
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14. Effects of rows arrangement, soil management, and rainfall characteristics on water and soil losses in Italian sloping vineyards.

Author

Bagagiolo G, Biddoccu M, Rabino D, and Cavallo E

Subjects
Farms, Italy, Vitis growth & development, Water Movements, Agriculture methods, Rain, Soil, Water
Abstract

Erosional processes are highly affected by seasonal climatic fluctuations and soil management practices. Controlled grass cover is one of the most used soil conservation practices adopted in temperate climates, even if the protective effect of grass cover may decrease according to seasonal pattern. This technique is effective and, thus, widely adopted in the inter-rows of orchards such as olives, citrus or vineyards. This study reports the erosive events recorded in two different rain-fed hillslope vineyards with different rows orientation located in the Monferrato region, NW Italy. The study is addressed at compare the effects of different inter-row managements and rainfall characteristics on runoff and soil loss in hillslope vineyards (average slope from 15% to 35%). Rainfall, runoff and erosion variables were monitored in hydraulically bounded vineyard plots, where the inter-rows were managed with tillage and grass cover. Seventy-two erosive events were recorded in the period 1992-1996 in two vineyard plots with rows along the contour lines while 86 erosive events were recorded in two plots with rows up-and-down the slope from 2000 to 2014 (158 erosive events and four plots in total). Events were classified according to rainfall characteristics as "long-lasting", "intense" and "normal". In plots with rows along the contour lines, "intense" events were responsible for the highest mean soil loss in tilled plots (0.7 Mg ha -1 ) with very high erosion rates (12.3 Mg ha -1 ) observed during a single storm. In plots with rows up-and-down the slope the highest erosion rates, 21.2 and 3.4 Mg ha -1 , were recorded during fall "long-lasting" events in the tilled and grass cover plots respectively. The grass cover proved to be effective in decreasing runoff and soil losses during most of the events (at least 68% and 61% of the occurrences, respectively) reducing soil losses especially during summer storms when most of the "intense" events occured. Furthermore, the results show the fundamental role of contour-slope row orientation in reducing runoff and soil losses, disregarding the inter-rows soil management that is adopted., (Copyright © 2018 Elsevier Inc. All rights reserved.)

Published
2018
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