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The application of soil erosion models of an agroforestry basin under Mediterranean conditions from a geotechnical point of view

dc.contributor.authorLeite, Ana Paula
dc.contributor.authorDuarte, A.C.
dc.contributor.authorMarchiori, Leonardo
dc.contributor.authorMorais, Maria Vitoria
dc.contributor.authorStudart, André
dc.contributor.authorCavaleiro, Victor
dc.date.accessioned2024-10-11T15:36:42Z
dc.date.available2024-10-11T15:36:42Z
dc.date.issued2024
dc.description.abstractSoil 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.sponsorshipThe 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.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationLEITE, 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/land13101613pt_PT
dc.identifier.doi10.3390/land13101613pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.11/9183
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherMDPIpt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectRUSLEpt_PT
dc.subjectSWATpt_PT
dc.subjectGISpt_PT
dc.subjectSoil erosionpt_PT
dc.subjectSusceptibility chartpt_PT
dc.subjectSustainable developmentpt_PT
dc.titleThe application of soil erosion models of an agroforestry basin under Mediterranean conditions from a geotechnical point of viewpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.issue10pt_PT
oaire.citation.startPage1613pt_PT
oaire.citation.titleLandpt_PT
oaire.citation.volume13pt_PT
person.familyNameCANATÁRIO DUARTE
person.familyNameMarchiori
person.familyNameMorais
person.familyNameCavaleiro
person.givenNameANTÓNIO
person.givenNameLeonardo
person.givenNameMaria Vitoria
person.givenNameVictor
person.identifier3217853
person.identifier2880071
person.identifier.ciencia-id0717-AB48-E1A3
person.identifier.ciencia-id3D13-5654-31BC
person.identifier.ciencia-id8418-29B1-002E
person.identifier.ciencia-id4A11-C370-B73C
person.identifier.orcid0000-0002-0319-378X
person.identifier.orcid0000-0001-8825-2162
person.identifier.orcid0000-0003-3895-1672
person.identifier.orcid0000-0002-9266-2938
person.identifier.ridABQ-4127-2022
person.identifier.scopus-author-id54901177900
person.identifier.scopus-author-id57345705800
person.identifier.scopus-author-id12794771400
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublicationff1ed167-3f68-4e2b-b092-aaa0eb28ae6b
relation.isAuthorOfPublication20c7f270-2981-44ea-a695-3c9f46a3c3bb
relation.isAuthorOfPublicationfb871858-9a99-4afd-bcbb-44088af1d1fa
relation.isAuthorOfPublication6a1186fe-4f23-43ac-9ebf-428ca70ab115
relation.isAuthorOfPublication.latestForDiscoveryff1ed167-3f68-4e2b-b092-aaa0eb28ae6b

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