{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,19]],"date-time":"2025-12-19T09:48:13Z","timestamp":1766137693382,"version":"build-2065373602"},"reference-count":47,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2021,5,25]],"date-time":"2021-05-25T00:00:00Z","timestamp":1621900800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Land"],"abstract":"<jats:p>Soil erosion is a severe and complex issue in the agriculture area. The main objective of this study was to assess the soil loss in two regions, testing different methodologies and combining different factors of the Revised Universal Soil Loss Equation (RUSLE) based on Geographical Information Systems (GIS). To provide the methodologies to other users, a GIS open-source application was developed. The RUSLE equation was applied with the variation of some factors that compose it, namely the slope length and slope steepness (LS) factor and practices factor (P), but also with the use of different sources of information. Eight different erosion models (M1 to M8) were applied to the two regions with different ecological conditions: Montalegre (rainy-mountainous) and Alentejo (dry-flat), both in Portugal, to compare them and to evaluate the soil loss for 3 potential erosion levels: 0\u201325, 25\u201350 and &gt;50 ton\/ha\u00b7year. Regarding the methodologies, in both regions the behavior is similar, indicating that the M5 and M6 methodologies can be more conservative than the others (M1, M2, M3, M4 and M8), which present very consistent values in all classes of soil loss and for both regions. All methodologies were implemented in a GIS application, which is free and available under QGIS software.<\/jats:p>","DOI":"10.3390\/land10060554","type":"journal-article","created":{"date-parts":[[2021,5,25]],"date-time":"2021-05-25T13:14:21Z","timestamp":1621948461000},"page":"554","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["Comparing Hydric Erosion Soil Loss Models in Rainy Mountainous and Dry Flat Regions in Portugal"],"prefix":"10.3390","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7537-6606","authenticated-orcid":false,"given":"Lia","family":"Duarte","sequence":"first","affiliation":[{"name":"Department of Geosciences, Environment and Land Planning, Faculty of Sciences, University of Porto, 4169-007 Porto, Portugal"},{"name":"ICT\u2013Institute of Earth Sciences, Faculty of Sciences, University of Porto, 4169-007 Porto, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8299-324X","authenticated-orcid":false,"given":"M\u00e1rio","family":"Cunha","sequence":"additional","affiliation":[{"name":"Department of Geosciences, Environment and Land Planning, Faculty of Sciences, University of Porto, 4169-007 Porto, Portugal"},{"name":"Institute for Systems and Computer Engineering, Technology and Science (INESC TEC), Campus da Faculdade de Engenharia da Universidade do Porto, Rua Dr. Roberto Frias, 4200-465 Porto, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8043-6431","authenticated-orcid":false,"given":"Ana Cl\u00e1udia","family":"Teodoro","sequence":"additional","affiliation":[{"name":"Department of Geosciences, Environment and Land Planning, Faculty of Sciences, University of Porto, 4169-007 Porto, Portugal"},{"name":"ICT\u2013Institute of Earth Sciences, Faculty of Sciences, University of Porto, 4169-007 Porto, Portugal"}]}],"member":"1968","published-online":{"date-parts":[[2021,5,25]]},"reference":[{"key":"ref_1","unstructured":"FAO, and ITPS (2015). Status of the World\u2019s Soil Resources (SWSR)\u2014Main Report, Food and Agriculture Organization of the United Nations and Intergovernmental Technical Panel on Soils."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"74","DOI":"10.1016\/j.catena.2012.08.012","article-title":"Risk assessment of soil erosion in different rainfall scenarios by RUSLE model coupled with Information Diffusion Model: A case study of Bohai Rim, China","volume":"100","author":"Xu","year":"2012","journal-title":"Catena"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"108","DOI":"10.1016\/j.atmosres.2013.02.013","article-title":"Integrated use of remote sensing, GIS and precipitation data for the assessment of soil erosion rate in the catchment area of \u201cYialias\u201d in Ciprus","volume":"131","author":"Alexakis","year":"2013","journal-title":"Atmos. Res."},{"key":"ref_4","unstructured":"Wischmeier, W.H., and Smith, D.D. (1978). Predicting rainfall erosion losses: A guide to conservation planning with Universal Soil Loss Equation (USLE), Agriculture Handbook."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"109160","DOI":"10.1016\/j.envres.2020.109160","article-title":"Validation of RUSLE K factor using aggregate stability in contrasted mediterranean eco-geomorphological landscapes (southern Spain)","volume":"183","author":"Remond","year":"2020","journal-title":"Environ. Res."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"354","DOI":"10.1016\/j.iswcr.2020.09.005","article-title":"Assessing spatial variability and erosion susceptibility of soils in hilly agricultural areas in Southern Italy","volume":"8","author":"Rosskopf","year":"2020","journal-title":"Int. Soil Water Conserv. Res."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"118","DOI":"10.1080\/1747423X.2017.1385654","article-title":"Impacts of vineyard area dynamics on soil erosion in a Mediterranean catchment (1950\u20132011)","volume":"13","author":"Roy","year":"2018","journal-title":"J. Land Use Sci."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"246","DOI":"10.1016\/j.catena.2016.06.018","article-title":"Simulation of field-measured soil loss in Mediterranean hilly areas (Chianti, Italy) with RUSLE","volume":"145","author":"Napoli","year":"2016","journal-title":"Catena"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"356","DOI":"10.1080\/17445647.2019.1599452","article-title":"Assessment of soil erosion risk in a typical Mediterranean environment using a high resolution RUSLE approach (Portofino promontory, NW-Italy)","volume":"15","author":"Rellini","year":"2019","journal-title":"J. Maps"},{"key":"ref_10","first-page":"1563","article-title":"Integrated approach of RUSLE, GIS and ESA Sentinel-2 satellite data for post-fire soil erosion assessment in Basilicata region (Southern Italy)","volume":"10","author":"Lanorte","year":"2019","journal-title":"Geomatics"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"365","DOI":"10.1016\/j.envres.2018.04.029","article-title":"Predicting the effectiveness of different mulching techniques in reducing post-fire runoff and erosion at plot scale with the RUSLE, MMF and PESERA models","volume":"165","author":"Vieira","year":"2018","journal-title":"Environ. Res."},{"key":"ref_12","first-page":"25","article-title":"Predicting Soil Erosion by Water: A Guide to Conservation Planning with the Revised Universal Soil Loss Equation (RUSLE)","volume":"Volume 703","author":"Renard","year":"1997","journal-title":"Agriculture Handbook"},{"key":"ref_13","first-page":"629","article-title":"Modelling topographic potential for erosion and deposition using GIS","volume":"10","author":"Mitasova","year":"1996","journal-title":"Int. J. Inf. Syst."},{"key":"ref_14","unstructured":"Williams, J.R. (1975). Sediment-Yield Prediction with Universal Equation Using Runoff Energy Factor."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"501","DOI":"10.1007\/s12517-021-06819-8","article-title":"Morphometric analysis to characterize the soil erosion susceptibility in the western part of lower Gangetic River basin, India","volume":"14","author":"Bhattacharya","year":"2021","journal-title":"Arab. J. Geosci."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"219","DOI":"10.1016\/j.mex.2019.01.004","article-title":"Modification of the RUSLE slope length and steepness factor (LS-factor) based on rainfall experiments at steep alpine grasslands","volume":"6","author":"Schmidta","year":"2019","journal-title":"MethodsX"},{"key":"ref_17","first-page":"423","article-title":"Revised Universal Soil Loss Equation: Simplified method of estimation","volume":"47","author":"Moore","year":"1992","journal-title":"J. Soil Water Conserv."},{"key":"ref_18","unstructured":"Zingg, A. (1940). Degree and length of land slope as it affects soil loss in run-off. Agric. Eng., 59\u201364."},{"key":"ref_19","first-page":"394","article-title":"Estimating soil losses from field areas","volume":"29","author":"Smith","year":"1948","journal-title":"Agric. Eng."},{"key":"ref_20","first-page":"97","article-title":"Factors affecting rainfall erosion and their evaluation","volume":"43","author":"Smith","year":"1958","journal-title":"Int. Assoc. Sci. Hydrol."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"917","DOI":"10.2136\/sssaj1997.03615995006100030029x","article-title":"A single, continuous function for slope steepness influence on soil loss","volume":"61","author":"Nearing","year":"1997","journal-title":"Soil Sci. Soc. Am. J."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"1759","DOI":"10.2136\/sssaj2000.6451759x","article-title":"Slope length effects on soil loss for steep slopes","volume":"64","author":"Liu","year":"2000","journal-title":"Soil Sci. Soc. Am. J."},{"key":"ref_23","unstructured":"Haan, I.C.T., Johnson, H.P., and Brakenslek, D.L. (1982). Modeling the erosion process. Hydrologic Modeling of Small Watersheds, American Society of Agricultural Engineers."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"1387","DOI":"10.13031\/2013.30576","article-title":"Revised Slope Steepness Factor for the Universal Soil Loss Equation","volume":"30","author":"McCool","year":"1987","journal-title":"Trans. ASAE"},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Wu, L., Liu, X., Yang, Z., Chen, J., and Ma, X. (2021). Landscape scaling of different land-use types, geomorphological styles, vegetation regionalizations, and geographical zonings differs spatial erosion patterns in a large-scale ecological restoration watershed. Environ. Sci. Pollut. Res.","DOI":"10.1007\/s11356-021-13274-1"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"953","DOI":"10.1016\/j.gsf.2015.10.007","article-title":"Assessment of soil erosion by RUSLE model using remote sensing and GIS\u2014A case study of Nethravathi Basin","volume":"7","author":"Ganasri","year":"2016","journal-title":"Geosci. Front."},{"key":"ref_27","doi-asserted-by":"crossref","unstructured":"Hrabal\u00edkov\u00e1, M., and Janecek, M. (2017). Comparison of Different Approaches to LS Factor Calculations Based on a Measured Soil Loss under Simulated Rainfall. Soil Water Res.","DOI":"10.17221\/222\/2015-SWR"},{"key":"ref_28","doi-asserted-by":"crossref","unstructured":"Kumar, N., and Singh, S.K. (2021). Soil erosion assessment using earth observation data in a trans-boundary river basin. Nat. Hazards.","DOI":"10.1007\/s11069-021-04571-6"},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"1138","DOI":"10.1080\/17445647.2015.1135829","article-title":"Soil erosion, Serra de Gr\u00e2ndola (Portugal)","volume":"12","author":"Fernandez","year":"2016","journal-title":"J. Maps"},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"351","DOI":"10.1007\/s10661-016-5349-5","article-title":"Assessing soil erosion risk using RUSLE through a GIS open source desktop and web application","volume":"188","author":"Duarte","year":"2016","journal-title":"Environ. Monit. Assess."},{"key":"ref_31","unstructured":"Pimenta, M.T. (1998). Directrizes para a Aplica\u00e7\u00e3o da Equa\u00e7\u00e3o Universal de Perda dos Solos em SIG, Factor de Cultura C e Factor de Erodibilidade do Solo K, INAG\/DSRH (Sistema Nacional de Informa\u00e7\u00e3o dos Recursos H\u00eddricos)."},{"key":"ref_32","unstructured":"(2021, April 02). Joint Research Center (JRC). Available online: https:\/\/ec.europa.eu\/jrc\/en."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"4175","DOI":"10.1038\/s41598-017-04282-8","article-title":"Global rainfall erosivity assessment based on high-temporal resolution rainfall records","volume":"7","author":"Panagos","year":"2017","journal-title":"Sci. Rep."},{"key":"ref_34","unstructured":"(2021, April 13). QGIS Project. Available online: Qgis.org\/en\/site\/."},{"key":"ref_35","unstructured":"(2021, April 20). GRASS. Available online: https:\/\/grass.osgeo.org\/."},{"key":"ref_36","unstructured":"(2021, April 20). GDAL\/OGR. Available online: https:\/\/www.gdal.org\/."},{"key":"ref_37","unstructured":"(2021, April 20). SAGA. Available online: http:\/\/www.saga-gis.org\/."},{"key":"ref_38","unstructured":"(2021, April 23). Qt Documentation. Available online: https:\/\/doc.qt.io\/qt-5\/reference-overview.html."},{"key":"ref_39","unstructured":"(2021, April 23). PyQGIS Developer Cookbook. Available online: https:\/\/docs.qgis.org\/testing\/en\/docs\/pyqgis_developer_cookbook\/."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"206","DOI":"10.3390\/geomatics1020013","article-title":"GIS Open-Source Plugins Development: A 10-Year Bibliometric Analysis on Scientific Literature","volume":"1","author":"Duarte","year":"2021","journal-title":"Geomatics"},{"key":"ref_41","doi-asserted-by":"crossref","unstructured":"Duarte, L., Teodoro, A.C., Maia, D., and Barbosa, D. (2016). Radio Astronomy Demonstrator: Assessment of the Appropriate Sites through a GIS Open Source Application. ISPRS Int. J. Geo-Inf., 5.","DOI":"10.3390\/ijgi5110209"},{"key":"ref_42","unstructured":"Arnfield, A.J. (2021, May 08). K\u00f6ppen Climate Classification. Available online: https:\/\/www.britannica.com\/science\/Koppen-climate-classification."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"55","DOI":"10.2307\/210739","article-title":"An approach toward a rational classification of climate","volume":"38","author":"Thornthwaite","year":"1948","journal-title":"Geogr. Rev."},{"key":"ref_44","unstructured":"(2021, April 10). SNIAmb da Ag\u00eancia Portuguesa do Ambiente, I.P. Available online: https:\/\/sniambgeoportal.apambiente.pt\/geoportal\/catalog\/search\/resource\/details.page?uuid=%7BCB8B69E9-63C2-4B0D-9CD8-6756BE78B3F0%7D."},{"key":"ref_45","unstructured":"(2021, April 10). SRTM, Available online: https:\/\/www2.jpl.nasa.gov\/srtm\/."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"189","DOI":"10.1016\/j.scitotenv.2014.02.010","article-title":"Soil erodibility in Europe: A high-resolution dataset based on LUCAS","volume":"479","author":"Panagos","year":"2014","journal-title":"Sci. Total Environ."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"143","DOI":"10.1016\/j.envsoft.2011.11.002","article-title":"Soil erodibility estimation using LUCAS point survey data of Europe","volume":"30","author":"Panagos","year":"2012","journal-title":"Environ. Model. Softw."}],"container-title":["Land"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2073-445X\/10\/6\/554\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T06:07:20Z","timestamp":1760162840000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2073-445X\/10\/6\/554"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,5,25]]},"references-count":47,"journal-issue":{"issue":"6","published-online":{"date-parts":[[2021,6]]}},"alternative-id":["land10060554"],"URL":"https:\/\/doi.org\/10.3390\/land10060554","relation":{},"ISSN":["2073-445X"],"issn-type":[{"type":"electronic","value":"2073-445X"}],"subject":[],"published":{"date-parts":[[2021,5,25]]}}}