Assessing Climate Influence on Spatiotemporal Dynamics of Macrophytes in Eutrophicated Reservoirs by Remotely Sensed Time Series

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Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.contributorCurtin University-
Autor(es): dc.creatorColadello, Leandro Fernandes-
Autor(es): dc.creatorGalo, Maria de Lourdes Bueno Trindade-
Autor(es): dc.creatorShimabukuro, Milton Hirokazu-
Autor(es): dc.creatorIvánová, Ivana-
Autor(es): dc.creatorAwange, Joseph-
Data de aceite: dc.date.accessioned2025-08-21T21:59:05Z-
Data de disponibilização: dc.date.available2025-08-21T21:59:05Z-
Data de envio: dc.date.issued2023-03-01-
Data de envio: dc.date.issued2023-03-01-
Data de envio: dc.date.issued2022-07-01-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.3390/rs14143282-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/241308-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/241308-
Descrição: dc.descriptionThe overgrowth of macrophytes is a recurrent problem within reservoirs of urbanized and industrialized areas, a condition triggered by the damming of rivers and other human activities. Although the occurrence of aquatic plants in waterbodies has been widely monitored using remote sensing, the influence of climate variables on macrophyte spatiotemporal dynamics is rarely considered in studies developed for medium scales to long periods of time. We hypothesize that the spatial dispersion of macrophytes has its natural rhythms influenced by climate fluctuations, and, as such, its effects on the heterogeneous spatial distribution of this vegetation should be considered in the monitoring of water bodies. A eutrophic reservoir is selected for study, which uses the Normalized Difference Vegetation Index (NDVI) as a proxy for macrophytes. Landsat’s NDVI long-term time series are constructed and matched with the Climate Variable (CV) from the National Oceanic and Atmospheric Administration (NOAA) to assess the spatiotemporal dynamics of aquatic plants and their associated climate triggers. The NDVI and CV time series and their seasonal and trend components are correlated for the entire reservoir, compartments, and segmented areas of the water body. Granger-causality of these climate variables show that they contribute to describe and predict the spatial dispersion of macrophytes.-
Descrição: dc.descriptionCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)-
Descrição: dc.descriptionSchool of Technology and Sciences São Paulo State University (UNESP), Presidente Prudente, SP-
Descrição: dc.descriptionSchool of Earth and Planetary Sciences (EPS) Curtin University-
Descrição: dc.descriptionSchool of Technology and Sciences São Paulo State University (UNESP), Presidente Prudente, SP-
Descrição: dc.descriptionCAPES: 001-
Idioma: dc.languageen-
Relação: dc.relationRemote Sensing-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectcausality-
Palavras-chave: dc.subjectclimate variables-
Palavras-chave: dc.subjectLandsat time series-
Palavras-chave: dc.subjectmacrophytes-
Palavras-chave: dc.subjectmonitoring-
Palavras-chave: dc.subjectremote sensing-
Palavras-chave: dc.subjectreservoirs-
Título: dc.titleAssessing Climate Influence on Spatiotemporal Dynamics of Macrophytes in Eutrophicated Reservoirs by Remotely Sensed Time Series-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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