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Environmental thresholds for phytoplankton group dynamics in the Western Lake Erie
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Environmental factors influencing phytoplankton assemblage dynamics in
freshwater ecosystems are an area of ongoing research in the Great
Lakes, particularly Lake Erie where harmful algal blooms have impacted
the system. Due to impacts on aquatic life and public health, studies
worldwide have investigated environmental thresholds influencing the
emergence and abundance of phytoplankton species. These thresholds are
useful in the evaluation of ecosystem health and the implementation of
conservation strategies. However, how these thresholds influence the
phytoplankton assemblage shifts over time and space have yet to be
explored in Lake Erie, USA. Our goal was to investigate the thresholds
of environmental variables responsible for major phytoplankton group
dynamics (cyanobacteria (CY), cryptophyta (CP), diatoms (DI), and
chlorophyta (GA)) in the western basin of Lake Erie. Using phytoplankton
group concentrations determined by a Fluoroprobe (bbe) and water quality
data collected between spring-fall from 2015 to 2019, we explored the
most significant variables driving changes in phytoplankton
concentration at 4 monitoring locations. We applied a multi-method
approach, starting with principal component analysis (PCA), Redundancy
Analysis (RDA), Regression Trees, and ending with a change point
analysis. This approach was successful in the detection of major
environmental variables and their thresholds responsible for the
emergence and dominance of each phytoplankton group. Results revealed
that CY concentrations are primarily correlated to turbidity conditions
while DI are more likely to dominate when dissolved oxygen
concentrations are high. The presence of CP was mostly related to lower
temperatures compared to CY. Lastly, N:SRP ratio was a strong predictor
of GA. These environmental variables were relevant predictors of both
seasonal and spatial dynamics. Our results reveal critical thresholds in
environmental conditions that shape the predominance of each
phytoplankton group in the western Lake Erie and emphasize how the
spatial component of these conditions can affect phytoplankton
assemblage dynamics. These findings may serve as a guide to modelers and
decision-makers.
Title: Environmental thresholds for phytoplankton group dynamics in the Western Lake Erie
Description:
Environmental factors influencing phytoplankton assemblage dynamics in
freshwater ecosystems are an area of ongoing research in the Great
Lakes, particularly Lake Erie where harmful algal blooms have impacted
the system.
Due to impacts on aquatic life and public health, studies
worldwide have investigated environmental thresholds influencing the
emergence and abundance of phytoplankton species.
These thresholds are
useful in the evaluation of ecosystem health and the implementation of
conservation strategies.
However, how these thresholds influence the
phytoplankton assemblage shifts over time and space have yet to be
explored in Lake Erie, USA.
Our goal was to investigate the thresholds
of environmental variables responsible for major phytoplankton group
dynamics (cyanobacteria (CY), cryptophyta (CP), diatoms (DI), and
chlorophyta (GA)) in the western basin of Lake Erie.
Using phytoplankton
group concentrations determined by a Fluoroprobe (bbe) and water quality
data collected between spring-fall from 2015 to 2019, we explored the
most significant variables driving changes in phytoplankton
concentration at 4 monitoring locations.
We applied a multi-method
approach, starting with principal component analysis (PCA), Redundancy
Analysis (RDA), Regression Trees, and ending with a change point
analysis.
This approach was successful in the detection of major
environmental variables and their thresholds responsible for the
emergence and dominance of each phytoplankton group.
Results revealed
that CY concentrations are primarily correlated to turbidity conditions
while DI are more likely to dominate when dissolved oxygen
concentrations are high.
The presence of CP was mostly related to lower
temperatures compared to CY.
Lastly, N:SRP ratio was a strong predictor
of GA.
These environmental variables were relevant predictors of both
seasonal and spatial dynamics.
Our results reveal critical thresholds in
environmental conditions that shape the predominance of each
phytoplankton group in the western Lake Erie and emphasize how the
spatial component of these conditions can affect phytoplankton
assemblage dynamics.
These findings may serve as a guide to modelers and
decision-makers.
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