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Quantifying national and regional cyanobacterial occurrence in US lakes using satellite remote sensing
Cyanobacterial harmful algal blooms are the most common form of harmful algal blooms in freshwater systems throughout the world. However, in situ sampling of cyanobacteria in inland lakes is limited both spatially and temporally. Satellite data has proven to be an effective tool to monitor cyanobact...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8318153/ https://www.ncbi.nlm.nih.gov/pubmed/34326705 http://dx.doi.org/10.1016/j.ecolind.2019.105976 |
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author | Coffer, Megan M. Schaeffer, Blake A. Darling, John A. Urquhart, Erin A. Salls, Wilson B. |
author_facet | Coffer, Megan M. Schaeffer, Blake A. Darling, John A. Urquhart, Erin A. Salls, Wilson B. |
author_sort | Coffer, Megan M. |
collection | PubMed |
description | Cyanobacterial harmful algal blooms are the most common form of harmful algal blooms in freshwater systems throughout the world. However, in situ sampling of cyanobacteria in inland lakes is limited both spatially and temporally. Satellite data has proven to be an effective tool to monitor cyanobacteria in freshwater lakes across the United States. This study uses data from the European Space Agency Envisat MEdium Resolution Imaging Spectrometer and the Sentinel-3 Ocean and Land Color Instrument to provide a national overview of the percentage of lakes experiencing a cyanobacterial bloom on a weekly basis for 2008–2011, 2017, and 2018. A total of 2321 lakes across the contiguous United States were included in the analysis. We examined four different thresholds to define when a waterbody is classified as experiencing a bloom. Across these four thresholds, we explored variability in bloom percentage with changes in seasonality and lake size. As a validation of algorithm performance, we analyzed the agreement between satellite observations and previously established ecological patterns, although data availability in the wintertime limited these comparisons on a year-round basis. Changes in cyanobacterial bloom percentage at the national scale followed the well-known temporal pattern of freshwater blooms. The percentage of lakes experiencing a bloom increased throughout the year, reached a maximum in fall, and decreased through the winter. Wintertime data, particularly in northern regions, were consistently limited due to snow and ice cover. With the exception of the Southeast and South, regional patterns mimicked patterns found at the national scale. The Southeast and South exhibited an unexpected pattern as cyanobacterial bloom percentage reached a maximum in the winter rather than the summer. Lake Jesup in Florida was used as a case study to validate this observed pattern against field observations of chlorophyll a. Results from this research establish a baseline of annual occurrence of cyanobacterial blooms in inland lakes across the United States. In addition, methods presented in this study can be tailored to fit the specific requirements of an individual system or region. |
format | Online Article Text |
id | pubmed-8318153 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
record_format | MEDLINE/PubMed |
spelling | pubmed-83181532021-07-28 Quantifying national and regional cyanobacterial occurrence in US lakes using satellite remote sensing Coffer, Megan M. Schaeffer, Blake A. Darling, John A. Urquhart, Erin A. Salls, Wilson B. Ecol Indic Article Cyanobacterial harmful algal blooms are the most common form of harmful algal blooms in freshwater systems throughout the world. However, in situ sampling of cyanobacteria in inland lakes is limited both spatially and temporally. Satellite data has proven to be an effective tool to monitor cyanobacteria in freshwater lakes across the United States. This study uses data from the European Space Agency Envisat MEdium Resolution Imaging Spectrometer and the Sentinel-3 Ocean and Land Color Instrument to provide a national overview of the percentage of lakes experiencing a cyanobacterial bloom on a weekly basis for 2008–2011, 2017, and 2018. A total of 2321 lakes across the contiguous United States were included in the analysis. We examined four different thresholds to define when a waterbody is classified as experiencing a bloom. Across these four thresholds, we explored variability in bloom percentage with changes in seasonality and lake size. As a validation of algorithm performance, we analyzed the agreement between satellite observations and previously established ecological patterns, although data availability in the wintertime limited these comparisons on a year-round basis. Changes in cyanobacterial bloom percentage at the national scale followed the well-known temporal pattern of freshwater blooms. The percentage of lakes experiencing a bloom increased throughout the year, reached a maximum in fall, and decreased through the winter. Wintertime data, particularly in northern regions, were consistently limited due to snow and ice cover. With the exception of the Southeast and South, regional patterns mimicked patterns found at the national scale. The Southeast and South exhibited an unexpected pattern as cyanobacterial bloom percentage reached a maximum in the winter rather than the summer. Lake Jesup in Florida was used as a case study to validate this observed pattern against field observations of chlorophyll a. Results from this research establish a baseline of annual occurrence of cyanobacterial blooms in inland lakes across the United States. In addition, methods presented in this study can be tailored to fit the specific requirements of an individual system or region. 2020-04-01 /pmc/articles/PMC8318153/ /pubmed/34326705 http://dx.doi.org/10.1016/j.ecolind.2019.105976 Text en https://creativecommons.org/licenses/by-nc/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/BY/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ). |
spellingShingle | Article Coffer, Megan M. Schaeffer, Blake A. Darling, John A. Urquhart, Erin A. Salls, Wilson B. Quantifying national and regional cyanobacterial occurrence in US lakes using satellite remote sensing |
title | Quantifying national and regional cyanobacterial occurrence in US lakes using satellite remote sensing |
title_full | Quantifying national and regional cyanobacterial occurrence in US lakes using satellite remote sensing |
title_fullStr | Quantifying national and regional cyanobacterial occurrence in US lakes using satellite remote sensing |
title_full_unstemmed | Quantifying national and regional cyanobacterial occurrence in US lakes using satellite remote sensing |
title_short | Quantifying national and regional cyanobacterial occurrence in US lakes using satellite remote sensing |
title_sort | quantifying national and regional cyanobacterial occurrence in us lakes using satellite remote sensing |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8318153/ https://www.ncbi.nlm.nih.gov/pubmed/34326705 http://dx.doi.org/10.1016/j.ecolind.2019.105976 |
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