Articles | Volume 14, issue 11
https://doi.org/10.5194/essd-14-5139-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-14-5139-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Rates and timing of chlorophyll-a increases and related environmental variables in global temperate and cold-temperate lakes
Ecohydrology Research Group, Department of Earth and Environmental
Sciences and Water Institute, University of Waterloo, Waterloo, ON, Canada
Jane Ye
Ecohydrology Research Group, Department of Earth and Environmental
Sciences and Water Institute, University of Waterloo, Waterloo, ON, Canada
Bhaleka D. Persaud
Ecohydrology Research Group, Department of Earth and Environmental
Sciences and Water Institute, University of Waterloo, Waterloo, ON, Canada
Stephanie Slowinski
Ecohydrology Research Group, Department of Earth and Environmental
Sciences and Water Institute, University of Waterloo, Waterloo, ON, Canada
Homa Kheyrollah Pour
ReSEC Research Group, Department of Geography and Environmental
Studies, Wilfrid Laurier University, Waterloo, ON, Canada
Philippe Van Cappellen
Ecohydrology Research Group, Department of Earth and Environmental
Sciences and Water Institute, University of Waterloo, Waterloo, ON, Canada
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Cited
11 citations as recorded by crossref.
- Population response of pelagic fishes (ciscoes, Coregonus spp.) to rapidly accelerated eutrophication of an originally oligotrophic deep lake T. Mehner et al. 10.1080/20442041.2024.2330857
- Contrasting Impacts of Agricultural Intensification and Urbanization on Lake Phosphorus Cycling and Implications for Managing Eutrophication S. Slowinski et al. 10.1029/2023JG007558
- Comparative Evaluation of Semi-Empirical Approaches to Retrieve Satellite-Derived Chlorophyll-a Concentrations from Nearshore and Offshore Waters of a Large Lake (Lake Ontario) A. Shahvaran et al. 10.3390/rs16091595
- Lake Erie summer chlorophyll phenology: a Bayesian additive regression trees comparison of growth and decay phases A. Isabwe et al. 10.1016/j.watres.2025.123770
- Regime shifts in satellite-derived chlorophyll within the Laurentian Great Lakes N. Nezlin et al. 10.1016/j.jglr.2025.102573
- Spatiotemporal Patterns of Chlorophyll-a Concentration in a Hypersaline Lake Using High Temporal Resolution Remotely Sensed Imagery R. Ramsey et al. 10.3390/rs17030430
- A Machine Learning-Based Assessment of Proxies and Drivers of Harmful Algal Blooms in the Western Lake Erie Basin Using Satellite Remote Sensing N. Joshi et al. 10.3390/rs17132164
- Developing a real-time water quality simulation toolbox using machine learning and application programming interface G. Bang et al. 10.1016/j.jenvman.2025.124719
- Spatiotemporal changes in chlorophyll-a concentration in China's lakes and its driving factors L. Gao et al. 10.1039/D4EM00731J
- Detection of changes in the hydrobiological parameters of the Oder River during the ecological disaster in July 2022 based on multi-parameter probe tests and remote sensing methods D. Absalon et al. 10.1016/j.ecolind.2023.110103
- Rates and timing of chlorophyll-a increases and related environmental variables in global temperate and cold-temperate lakes H. Adams et al. 10.5194/essd-14-5139-2022
9 citations as recorded by crossref.
- Population response of pelagic fishes (ciscoes, Coregonus spp.) to rapidly accelerated eutrophication of an originally oligotrophic deep lake T. Mehner et al. 10.1080/20442041.2024.2330857
- Contrasting Impacts of Agricultural Intensification and Urbanization on Lake Phosphorus Cycling and Implications for Managing Eutrophication S. Slowinski et al. 10.1029/2023JG007558
- Comparative Evaluation of Semi-Empirical Approaches to Retrieve Satellite-Derived Chlorophyll-a Concentrations from Nearshore and Offshore Waters of a Large Lake (Lake Ontario) A. Shahvaran et al. 10.3390/rs16091595
- Lake Erie summer chlorophyll phenology: a Bayesian additive regression trees comparison of growth and decay phases A. Isabwe et al. 10.1016/j.watres.2025.123770
- Regime shifts in satellite-derived chlorophyll within the Laurentian Great Lakes N. Nezlin et al. 10.1016/j.jglr.2025.102573
- Spatiotemporal Patterns of Chlorophyll-a Concentration in a Hypersaline Lake Using High Temporal Resolution Remotely Sensed Imagery R. Ramsey et al. 10.3390/rs17030430
- A Machine Learning-Based Assessment of Proxies and Drivers of Harmful Algal Blooms in the Western Lake Erie Basin Using Satellite Remote Sensing N. Joshi et al. 10.3390/rs17132164
- Developing a real-time water quality simulation toolbox using machine learning and application programming interface G. Bang et al. 10.1016/j.jenvman.2025.124719
- Spatiotemporal changes in chlorophyll-a concentration in China's lakes and its driving factors L. Gao et al. 10.1039/D4EM00731J
2 citations as recorded by crossref.
- Detection of changes in the hydrobiological parameters of the Oder River during the ecological disaster in July 2022 based on multi-parameter probe tests and remote sensing methods D. Absalon et al. 10.1016/j.ecolind.2023.110103
- Rates and timing of chlorophyll-a increases and related environmental variables in global temperate and cold-temperate lakes H. Adams et al. 10.5194/essd-14-5139-2022
Latest update: 12 Jul 2025
Short summary
Climate warming and land-use changes are altering the environmental factors that control the algal
productivityin lakes. To predict how environmental factors like nutrient concentrations, ice cover, and water temperature will continue to influence lake productivity in this changing climate, we created a dataset of chlorophyll-a concentrations (a compound found in algae), associated water quality parameters, and solar radiation that can be used to for a wide range of research questions.
Climate warming and land-use changes are altering the environmental factors that control the...
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