Logotipo do repositório
 

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

dc.contributor.authorColadello, Leandro Fernandes [UNESP]
dc.contributor.authorGalo, Maria de Lourdes Bueno Trindade [UNESP]
dc.contributor.authorShimabukuro, Milton Hirokazu [UNESP]
dc.contributor.authorIvánová, Ivana
dc.contributor.authorAwange, Joseph
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.contributor.institutionCurtin University
dc.date.accessioned2023-03-01T20:56:09Z
dc.date.available2023-03-01T20:56:09Z
dc.date.issued2022-07-01
dc.description.abstractThe 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.en
dc.description.affiliationSchool of Technology and Sciences São Paulo State University (UNESP), Presidente Prudente, SP
dc.description.affiliationSchool of Earth and Planetary Sciences (EPS) Curtin University
dc.description.affiliationUnespSchool of Technology and Sciences São Paulo State University (UNESP), Presidente Prudente, SP
dc.description.sponsorshipCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.description.sponsorshipIdCAPES: 001
dc.identifierhttp://dx.doi.org/10.3390/rs14143282
dc.identifier.citationRemote Sensing, v. 14, n. 14, 2022.
dc.identifier.doi10.3390/rs14143282
dc.identifier.issn2072-4292
dc.identifier.scopus2-s2.0-85133793515
dc.identifier.urihttp://hdl.handle.net/11449/241308
dc.language.isoeng
dc.relation.ispartofRemote Sensing
dc.sourceScopus
dc.subjectcausality
dc.subjectclimate variables
dc.subjectLandsat time series
dc.subjectmacrophytes
dc.subjectmonitoring
dc.subjectremote sensing
dc.subjectreservoirs
dc.titleAssessing Climate Influence on Spatiotemporal Dynamics of Macrophytes in Eutrophicated Reservoirs by Remotely Sensed Time Seriesen
dc.typeArtigo
dspace.entity.typePublication
unesp.departmentEstatística - FCTpt

Arquivos