A Multi-Year Assessment of Phytoplankton Fluorescence in a Large Temperate River Reveals the Importance of Scale-Dependent Temporal Patterns Associated With Temperature and Other Physicochemical Variables

An integrated temporal study of a long-term ecological research and monitoring database of the St. Lawrence River was carried out. A long and mostly uninterrupted high temporal resolution record of fluorometric data from 2014 to 2018 was used to examine phytoplankton fluorometric variables at severa...

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Autores principales: El-Amine Mimouni, Jeffrey J. Ridal, Michael R. Twiss
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Publicado: Frontiers Media S.A. 2021
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Acceso en línea:https://doaj.org/article/f5404447064346369038dcb27dd32a98
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spelling oai:doaj.org-article:f5404447064346369038dcb27dd32a982021-11-12T06:46:01ZA Multi-Year Assessment of Phytoplankton Fluorescence in a Large Temperate River Reveals the Importance of Scale-Dependent Temporal Patterns Associated With Temperature and Other Physicochemical Variables2624-937510.3389/frwa.2021.740309https://doaj.org/article/f5404447064346369038dcb27dd32a982021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/frwa.2021.740309/fullhttps://doaj.org/toc/2624-9375An integrated temporal study of a long-term ecological research and monitoring database of the St. Lawrence River was carried out. A long and mostly uninterrupted high temporal resolution record of fluorometric data from 2014 to 2018 was used to examine phytoplankton fluorometric variables at several scales and to identify temporal patterns and their main environmental drivers. Sets of temporal eigenvectors were used as modulating variables in a multiscale codependence analysis to relate the fluorometric variables and various environmental variables at different temporal scales. Fluorometric patterns of phytoplankton biomass in the St. Lawrence River are characterized by large, yearly-scale patterns driven by seasonal changes in water temperature, and to a lesser extent water discharge, over which finer-scale temporal patterns related to colored dissolved organic matter and weather variables can be discerned at shorter time scales. The results suggest that such an approach to characterize phytoplankton biomass in large rivers may be useful for processing large data sets from remote sensing efforts for detecting subtle large-scale changes in water quality due to land use practices and climate change.El-Amine MimouniJeffrey J. RidalMichael R. TwissFrontiers Media S.A.articlelimnologyphytoplankton fluorescencescaletemporal studywater qualityEnvironmental technology. Sanitary engineeringTD1-1066ENFrontiers in Water, Vol 3 (2021)
institution DOAJ
collection DOAJ
language EN
topic limnology
phytoplankton fluorescence
scale
temporal study
water quality
Environmental technology. Sanitary engineering
TD1-1066
spellingShingle limnology
phytoplankton fluorescence
scale
temporal study
water quality
Environmental technology. Sanitary engineering
TD1-1066
El-Amine Mimouni
Jeffrey J. Ridal
Michael R. Twiss
A Multi-Year Assessment of Phytoplankton Fluorescence in a Large Temperate River Reveals the Importance of Scale-Dependent Temporal Patterns Associated With Temperature and Other Physicochemical Variables
description An integrated temporal study of a long-term ecological research and monitoring database of the St. Lawrence River was carried out. A long and mostly uninterrupted high temporal resolution record of fluorometric data from 2014 to 2018 was used to examine phytoplankton fluorometric variables at several scales and to identify temporal patterns and their main environmental drivers. Sets of temporal eigenvectors were used as modulating variables in a multiscale codependence analysis to relate the fluorometric variables and various environmental variables at different temporal scales. Fluorometric patterns of phytoplankton biomass in the St. Lawrence River are characterized by large, yearly-scale patterns driven by seasonal changes in water temperature, and to a lesser extent water discharge, over which finer-scale temporal patterns related to colored dissolved organic matter and weather variables can be discerned at shorter time scales. The results suggest that such an approach to characterize phytoplankton biomass in large rivers may be useful for processing large data sets from remote sensing efforts for detecting subtle large-scale changes in water quality due to land use practices and climate change.
format article
author El-Amine Mimouni
Jeffrey J. Ridal
Michael R. Twiss
author_facet El-Amine Mimouni
Jeffrey J. Ridal
Michael R. Twiss
author_sort El-Amine Mimouni
title A Multi-Year Assessment of Phytoplankton Fluorescence in a Large Temperate River Reveals the Importance of Scale-Dependent Temporal Patterns Associated With Temperature and Other Physicochemical Variables
title_short A Multi-Year Assessment of Phytoplankton Fluorescence in a Large Temperate River Reveals the Importance of Scale-Dependent Temporal Patterns Associated With Temperature and Other Physicochemical Variables
title_full A Multi-Year Assessment of Phytoplankton Fluorescence in a Large Temperate River Reveals the Importance of Scale-Dependent Temporal Patterns Associated With Temperature and Other Physicochemical Variables
title_fullStr A Multi-Year Assessment of Phytoplankton Fluorescence in a Large Temperate River Reveals the Importance of Scale-Dependent Temporal Patterns Associated With Temperature and Other Physicochemical Variables
title_full_unstemmed A Multi-Year Assessment of Phytoplankton Fluorescence in a Large Temperate River Reveals the Importance of Scale-Dependent Temporal Patterns Associated With Temperature and Other Physicochemical Variables
title_sort multi-year assessment of phytoplankton fluorescence in a large temperate river reveals the importance of scale-dependent temporal patterns associated with temperature and other physicochemical variables
publisher Frontiers Media S.A.
publishDate 2021
url https://doaj.org/article/f5404447064346369038dcb27dd32a98
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