Publication
The application of soil erosion models of an agroforestry basin under Mediterranean conditions from a geotechnical point of view
dc.contributor.author | Leite, Ana Paula | |
dc.contributor.author | Duarte, A.C. | |
dc.contributor.author | Marchiori, Leonardo | |
dc.contributor.author | Morais, Maria Vitoria | |
dc.contributor.author | Studart, André | |
dc.contributor.author | Cavaleiro, Victor | |
dc.date.accessioned | 2024-10-11T15:36:42Z | |
dc.date.available | 2024-10-11T15:36:42Z | |
dc.date.issued | 2024 | |
dc.description.abstract | Soil erosion has been causing an imbalance in nature and the environment. It is mainly caused naturally but is also due to human interventions leading to desertification and possible contamination. Therefore, engineering, geography, and cartography have been allies in applying erosion models to predict, address, and remediate the impacts. Therefore, the Revised Universal Soil Loss Equation (RUSLE) and Soil and Water Assessment Tool (SWAT) linked to Geographic Information Systems (GISs) could boost decision making as tools to mitigate issues. This study applies the RUSLE and SWAT models from a geotechnical point of view to analyze a sub-watershed at Idanha-a-Nova (Portugal) over 4 years, showing a predominant erosion risk class with losses lower than 5 t.ha−1.year−1 (60 to 86%), characterized as very low risk. The modeling permitted the development of soils erosion susceptibility charts, in addition to material availability and the suitability for construction areas, exposing a replicable methodology that could contribute to minimizing environmental impacts while encouraging a more intelligent use of the land towards a greener exploration. | pt_PT |
dc.description.sponsorship | The authors acknowledge the support by the GeoBioTec Research Unit, through the strategic projects UIDB/04035/2020 (https://doi.org/10.54499/UIDB/04035/2020) and UIDP/04035/2020 (https://doi.org/10.54499/UIDP/04035/2020), funded by the Fundação para a Ciência e a Tecnologia, IP/MCTES (Portugal) through national funds (PIDDAC). | pt_PT |
dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
dc.identifier.citation | LEITE, A.P. [et al.] (2024) - The application of soil erosion models of an agroforestry basin under Mediterranean conditions from a geotechnical point of view. Land. 13:10, p. 1613. DOI: https://doi.org/ 10.3390/land13101613 | pt_PT |
dc.identifier.doi | 10.3390/land13101613 | pt_PT |
dc.identifier.uri | http://hdl.handle.net/10400.11/9183 | |
dc.language.iso | eng | pt_PT |
dc.peerreviewed | yes | pt_PT |
dc.publisher | MDPI | pt_PT |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | pt_PT |
dc.subject | RUSLE | pt_PT |
dc.subject | SWAT | pt_PT |
dc.subject | GIS | pt_PT |
dc.subject | Soil erosion | pt_PT |
dc.subject | Susceptibility chart | pt_PT |
dc.subject | Sustainable development | pt_PT |
dc.title | The application of soil erosion models of an agroforestry basin under Mediterranean conditions from a geotechnical point of view | pt_PT |
dc.type | journal article | |
dspace.entity.type | Publication | |
oaire.citation.issue | 10 | pt_PT |
oaire.citation.startPage | 1613 | pt_PT |
oaire.citation.title | Land | pt_PT |
oaire.citation.volume | 13 | pt_PT |
person.familyName | CANATÁRIO DUARTE | |
person.familyName | Marchiori | |
person.familyName | Morais | |
person.familyName | Cavaleiro | |
person.givenName | ANTÓNIO | |
person.givenName | Leonardo | |
person.givenName | Maria Vitoria | |
person.givenName | Victor | |
person.identifier | 3217853 | |
person.identifier | 2880071 | |
person.identifier.ciencia-id | 0717-AB48-E1A3 | |
person.identifier.ciencia-id | 3D13-5654-31BC | |
person.identifier.ciencia-id | 8418-29B1-002E | |
person.identifier.ciencia-id | 4A11-C370-B73C | |
person.identifier.orcid | 0000-0002-0319-378X | |
person.identifier.orcid | 0000-0001-8825-2162 | |
person.identifier.orcid | 0000-0003-3895-1672 | |
person.identifier.orcid | 0000-0002-9266-2938 | |
person.identifier.rid | ABQ-4127-2022 | |
person.identifier.scopus-author-id | 54901177900 | |
person.identifier.scopus-author-id | 57345705800 | |
person.identifier.scopus-author-id | 12794771400 | |
rcaap.rights | openAccess | pt_PT |
rcaap.type | article | pt_PT |
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