A structural equation model of land capability and related drivers: Implications for land degradation forecasting in a tropical river basin

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MetadadosDescriçãoIdioma
Autor(es): dc.contributorGeoprocessing Laboratory-
Autor(es): dc.contributorUniversity of Trás-os-Montes e Alto Douro-
Autor(es): dc.contributorUniversity of Porto-
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.contributorAdministrative City of the State of Minas Gerais-
Autor(es): dc.contributorRegional Coordination of Environmental Prosecutors' Offices of the Paranaíba and Baixo Rio Grande River Basins-
Autor(es): dc.creatorde Morais Fernandes, Gabriel Henrique-
Autor(es): dc.creatordo Valle Junior, Renato Farias-
Autor(es): dc.creatorde Melo Silva, Maytê Maria Abreu Pires-
Autor(es): dc.creatorMendes, Rafaella Gouveia-
Autor(es): dc.creatorFernandes, Luís Filipe Sanches-
Autor(es): dc.creatorFernandes, António Carlos Pinheiro-
Autor(es): dc.creatorPacheco, Fernando António Leal-
Autor(es): dc.creatorPissarra, Teresa Cristina Tarlé-
Autor(es): dc.creatorde Melo, Marília Carvalho-
Autor(es): dc.creatorValera, Carlos Alberto-
Data de aceite: dc.date.accessioned2025-08-21T20:35:21Z-
Data de disponibilização: dc.date.available2025-08-21T20:35:21Z-
Data de envio: dc.date.issued2023-07-29-
Data de envio: dc.date.issued2023-07-29-
Data de envio: dc.date.issued2023-04-15-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1002/ldr.4568-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/249546-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/249546-
Descrição: dc.descriptionLand degradation is a worldwide problem with natural and anthropogenic causes. An important anthropogenic cause of land degradation is land uses that deviate from land capability, which is the “natural” use. Despite the conscience of scientists about this issue, studies are lacking that set up a quantitative nexus between land capability and related drivers. This nexus is essential because it allows anticipating changes in the drivers that promote or recede degradation. In this study, a partial least squares–path model (PLS–PM) was used to help closing this gap. The pilot study occurred in seven Paraopeba River sub-basins located in the State of Minas Gerais (Brazil), where capability is dominated by mosaics of forests and pastures. Land capability was assessed by the ruggedness number, being inversely proportional to it. Among multiple potential drivers of land capability initially included in the model, collinearity and other consistency and performance analyses indicated the percentage of latosols and (re)forested areas, annual rainfall, and water-related processes (e.g., weathering, nutrient leaching) as prominent in the studied region. The results linked increases of latosol and forest occupation to runoff reduction [runoff = latosol × (−0.640) + forest × (−0.156) + reforestation × (−0.379)], suggesting an attenuation of erosion by these parameters, namely gully erosion that impacts on the ruggedness number and land capability in the sequel. The weathering of carbonate rocks was also related to land capability changes because the PLS–PM model exposed a relationship between the ruggedness number and products of carbonate rock dissolution: ruggedness number = alkalinity × (−0.578) + total magnesium × (0.462) + dissolved oxygen × (−0.418). In addition to highlighting processes capable of changing land capability overtime, the model equations brought attention to measures that could improve it in the region thus preventing degradation. The measures included management practices capable to raise the soil's dissolved oxygen (e.g., through aeration) or preventing soil's magnesium deficiency (e.g., through foliar sprays). The network of cause-and-effect relationships set up by the PLS–PM model was finally used to elucidate about potential land use changes that would bring capability in the Paraopeba River basin towards a better status, such as conversions to pasture land. Future work is expected to further elucidate about the benefits for land capability of specific land use changes, through the testing of expected socioeconomic development scenarios.-
Descrição: dc.descriptionMinistério da Ciência, Tecnologia e Ensino Superior-
Descrição: dc.descriptionFoundation for Science and Technology-
Descrição: dc.descriptionFederal Institute of Triângulo Mineiro (IFTM) Geoprocessing Laboratory, Uberaba Campus-
Descrição: dc.descriptionCenter for Research and Agro-environmental and Biological Technologies (CITAB) University of Trás-os-Montes e Alto Douro-
Descrição: dc.descriptionCentre for Natural Resources and Environment (CERENA/FEUP) Engineering Faculty University of Porto-
Descrição: dc.descriptionCenter of Chemistry of Vila Real (CQVR) University of Trás-os-Montes e Alto Douro-
Descrição: dc.descriptionFaculty of Agricultural and Veterinary Sciences São Paulo State University (UNESP)-
Descrição: dc.descriptionSecretary of State for Environment and Sustainable Development Administrative City of the State of Minas Gerais-
Descrição: dc.descriptionPublic Ministry of Minas Gerais State Regional Coordination of Environmental Prosecutors' Offices of the Paranaíba and Baixo Rio Grande River Basins-
Descrição: dc.descriptionFaculty of Agricultural and Veterinary Sciences São Paulo State University (UNESP)-
Descrição: dc.descriptionFoundation for Science and Technology: UIDB/00616/2020-
Descrição: dc.descriptionFoundation for Science and Technology: UIDB/04028/2020-
Descrição: dc.descriptionFoundation for Science and Technology: UIDB/04033/2020-
Descrição: dc.descriptionFoundation for Science and Technology: UIDP/00616/2020-
Formato: dc.format1778-1794-
Idioma: dc.languageen-
Relação: dc.relationLand Degradation and Development-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectland capability-
Palavras-chave: dc.subjectland degradation-
Palavras-chave: dc.subjectLatosol-
Palavras-chave: dc.subjectParaopeba River basin-
Palavras-chave: dc.subjectpartial least squares–path modeling-
Palavras-chave: dc.subjectrunoff-
Título: dc.titleA structural equation model of land capability and related drivers: Implications for land degradation forecasting in a tropical river basin-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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