Assessing Climate Influence on Spatiotemporal Dynamics of Macrophytes in Eutrophicated Reservoirs by Remotely Sensed Time Series
The 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 influe...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-07-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/14/14/3282 |
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| author | Leandro Fernandes Coladello Maria de Lourdes Bueno Trindade Galo Milton Hirokazu Shimabukuro Ivana Ivánová Joseph Awange |
| author_facet | Leandro Fernandes Coladello Maria de Lourdes Bueno Trindade Galo Milton Hirokazu Shimabukuro Ivana Ivánová Joseph Awange |
| author_sort | Leandro Fernandes Coladello |
| collection | DOAJ |
| description | The 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. |
| first_indexed | 2024-03-09T10:12:41Z |
| format | Article |
| id | doaj.art-9e2df756ad6347c1a97a5eeb92c57ed6 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-09T10:12:41Z |
| publishDate | 2022-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-9e2df756ad6347c1a97a5eeb92c57ed62023-12-01T22:38:32ZengMDPI AGRemote Sensing2072-42922022-07-011414328210.3390/rs14143282Assessing Climate Influence on Spatiotemporal Dynamics of Macrophytes in Eutrophicated Reservoirs by Remotely Sensed Time SeriesLeandro Fernandes Coladello0Maria de Lourdes Bueno Trindade Galo1Milton Hirokazu Shimabukuro2Ivana Ivánová3Joseph Awange4School of Technology and Sciences, São Paulo State University (UNESP), Presidente Prudente 19060-900, SP, BrazilSchool of Technology and Sciences, São Paulo State University (UNESP), Presidente Prudente 19060-900, SP, BrazilSchool of Technology and Sciences, São Paulo State University (UNESP), Presidente Prudente 19060-900, SP, BrazilSchool of Earth and Planetary Sciences (EPS), Curtin University, Perth 6102, AustraliaSchool of Earth and Planetary Sciences (EPS), Curtin University, Perth 6102, AustraliaThe 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.https://www.mdpi.com/2072-4292/14/14/3282Landsat time seriesclimate variablesmonitoringcausalityreservoirsmacrophytes |
| spellingShingle | Leandro Fernandes Coladello Maria de Lourdes Bueno Trindade Galo Milton Hirokazu Shimabukuro Ivana Ivánová Joseph Awange Assessing Climate Influence on Spatiotemporal Dynamics of Macrophytes in Eutrophicated Reservoirs by Remotely Sensed Time Series Remote Sensing Landsat time series climate variables monitoring causality reservoirs macrophytes |
| title | Assessing Climate Influence on Spatiotemporal Dynamics of Macrophytes in Eutrophicated Reservoirs by Remotely Sensed Time Series |
| title_full | Assessing Climate Influence on Spatiotemporal Dynamics of Macrophytes in Eutrophicated Reservoirs by Remotely Sensed Time Series |
| title_fullStr | Assessing Climate Influence on Spatiotemporal Dynamics of Macrophytes in Eutrophicated Reservoirs by Remotely Sensed Time Series |
| title_full_unstemmed | Assessing Climate Influence on Spatiotemporal Dynamics of Macrophytes in Eutrophicated Reservoirs by Remotely Sensed Time Series |
| title_short | Assessing Climate Influence on Spatiotemporal Dynamics of Macrophytes in Eutrophicated Reservoirs by Remotely Sensed Time Series |
| title_sort | assessing climate influence on spatiotemporal dynamics of macrophytes in eutrophicated reservoirs by remotely sensed time series |
| topic | Landsat time series climate variables monitoring causality reservoirs macrophytes |
| url | https://www.mdpi.com/2072-4292/14/14/3282 |
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