Influence of cyanobacterial bloom accumulation and dissipation on underwater light attenuation in a large and shallow lake

Zhang, Manxue; Zhang, Yunlin; Zhou, Yongqiang; Zhang, Yibo; Shi, Kun; Jiang, Cuiling

doi:10.1007/s11356-022-21384-7

Cited by 6 publications

(3 citation statements)

References 57 publications

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“…Similar to our observations that DOC, dissolved CO2, and NH4 + peaked shortly (8-21 days) after peak cyanobacterial biomass occurred, other researchers have documented that phytoplankton cell degradation and subsequent leaching can occur rapidly, on the scale of hours to days (Hansen et al, 1986). Previous studies have also similarly found that bloom degradation is associated with increases in dissolved organic matter and dissolved CO2 (Bartosiewicz et al, 2021;Søndergaard et al, 2000;Zhang et al, 2022), as well as mineralization of both N (Gardner et al, 2017;Tezuka, 1986) and P (Carey et al, 2014;Hałemejko & Chrost, 1984). While we did not collect microbial community data, degradation of phytoplankton blooms is also associated with substantial changes in microbial community structure as microbes decompose senescing phytoplankton cells (Fukami et al, 1983;Grossart & Simon, 1998).…”

Section: The Phytoplankton Bloom Was Associated With Cascading Effect...supporting

confidence: 90%

Reservoir drawdown highlights the emergent effects of water level change on reservoir physics, chemistry, and biology

Lewis,

Breef-Pilz,

Howard

et al. 2024

Preprint

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Water level drawdowns are increasingly common in lakes and reservoirs worldwide as a result of both climate change and water management. Drawdowns can have direct effects on physical properties of a waterbody (e.g., by altering stratification and light dynamics), which can interact to modify the waterbody’s biology and chemistry. However, the ecosystem-level effects of drawdown remain poorly characterized in small, thermally-stratified reservoirs, which are common in many regions of the world. Here, we intensively monitored a small eutrophic reservoir for two years, including before, during, and after a month-long drawdown that reduced total reservoir volume by 36%. During drawdown, stratification strength (maximum buoyancy frequency) and surface phosphate concentrations both increased, contributing to a substantial surface phytoplankton bloom. The peak in phytoplankton biomass was followed by cascading changes in surface water chemistry associated with bloom degradation, with sequential peaks in dissolved organic carbon, dissolved carbon dioxide, and ammonium concentrations that were up to an order of magnitude higher than the previous year. Dissolved oxygen concentrations substantially decreased in the surface waters during drawdown (to 41% saturation), which was associated with increased total iron and manganese concentrations. Combined, our results illustrate how changes in water level can have cascading effects on coupled physical, chemical, and biological processes. As climate change and water management continue to increase the frequency of drawdowns in lakes worldwide, our results highlight the importance of characterizing how water level variability can alter complex in-lake ecosystem processes, thereby affecting water quality.

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Section: The Phytoplankton Bloom Was Associated With Cascading Effect...supporting

confidence: 90%

Reservoir drawdown highlights the emergent effects of water level change on reservoir physics, chemistry, and biology

Lewis,

Breef-Pilz,

Howard

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

“…Similar to our observations that DOC, dissolved CO 2 , and NH 4 + peaked shortly (8-21 days) after peak cyanobacterial biomass occurred, other researchers have documented that phytoplankton cell degradation and subsequent leaching can occur rapidly, on the scale of hours to days (Hansen et al, 1986). Previous studies have also similarly found that bloom degradation is associated with increases in dissolved organic matter and dissolved CO 2 (Bartosiewicz et al, 2021;Søndergaard et al, 2000;Zhang et al, 2022), as well as mineralization of both N (Gardner et al, 2017;Tezuka, 1986) and P (Carey et al, 2014;Hałemejko & Chrost, 1984). While we did not collect microbial community data, degradation of phytoplankton blooms is also associated with substantial changes in microbial community structure as microbes decompose senescing phytoplankton cells (Fukami et al, 1983;Grossart & Simon, 1998).…”

Section: The Phytoplankton Bloom Was Associated With Cascading Effect...supporting

confidence: 90%

“…While we did not collect microbial community data, degradation of phytoplankton blooms is also associated with substantial changes in microbial community structure as microbes decompose senescing phytoplankton cells (Fukami et al, 1983;Grossart & Simon, 1998). Finally, dense growth of phytoplankton cells in surface water during blooms can lead to increased light attenuation and, while not quantified in this study, heat absorption, both affecting the underwater light environment and potentially prolonging or stabilizing thermal stratification (Mesman et al, 2021;Robarts & Zohary, 1984;Zhang et al, 2022). In sum, our work highlights that phytoplankton blooms due to reservoir drawdowns are likely to have cascading effects on multiple aspects of reservoir ecosystem functioning.…”

Section: The Phytoplankton Bloom Was Associated With Cascading Effect...mentioning

confidence: 92%

Reservoir Drawdown Highlights the Emergent Effects of Water Level Change on Reservoir Physics, Chemistry, and Biology

Lewis,

Breef‐Pilz,

Howard

et al. 2024

JGR Biogeosciences

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Water level drawdowns are increasingly common in lakes and reservoirs worldwide as a result of both climate change and water management. Drawdowns can have direct effects on physical properties of a waterbody (e.g., by altering stratification and light dynamics), which can interact to modify the waterbody's biology and chemistry. However, the ecosystem‐level effects of drawdown remain poorly characterized in small, thermally stratified reservoirs, which are common in many regions of the world. Here, we intensively monitored a small eutrophic reservoir for 2 years, including before, during, and after a month‐long drawdown that reduced total reservoir volume by 36%. During drawdown, stratification strength (maximum buoyancy frequency) and surface phosphate concentrations both increased, contributing to a substantial surface phytoplankton bloom. The peak in phytoplankton biomass was followed by cascading changes in surface water chemistry associated with bloom degradation, with sequential peaks in dissolved organic carbon, dissolved carbon dioxide, and ammonium concentrations that were up to an order of magnitude higher than the previous year. Dissolved oxygen concentrations substantially decreased in surface waters during drawdown (to 41% saturation), which was associated with increased total iron and manganese concentrations. Combined, our results illustrate how changes in water level can have cascading effects on coupled physical, chemical, and biological processes. As climate change and water management continue to increase the frequency of drawdowns in lakes worldwide, our results highlight the importance of characterizing how water level variability can alter complex in‐lake ecosystem processes, thereby affecting water quality.

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A framework for developing a real-time lake phytoplankton forecasting system to support water quality management in the face of global change

Carey,

Calder,

Figueiredo

et al. 2024

Ambio

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Phytoplankton blooms create harmful toxins, scums, and taste and odor compounds and thus pose a major risk to drinking water safety. Climate and land use change are increasing the frequency and severity of blooms, motivating the development of new approaches for preemptive, rather than reactive, water management. While several real-time phytoplankton forecasts have been developed to date, none are both automated and quantify uncertainty in their predictions, which is critical for manager use. In response to this need, we outline a framework for developing the first automated, real-time lake phytoplankton forecasting system that quantifies uncertainty, thereby enabling managers to adapt operations and mitigate blooms. Implementation of this system calls for new, integrated ecosystem and statistical models; automated cyberinfrastructure; effective decision support tools; and training for forecasters and decision makers. We provide a research agenda for the creation of this system, as well as recommendations for developing real-time phytoplankton forecasts to support management.

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Influence of cyanobacterial bloom accumulation and dissipation on underwater light attenuation in a large and shallow lake

Cited by 6 publications

References 57 publications

Reservoir drawdown highlights the emergent effects of water level change on reservoir physics, chemistry, and biology

Reservoir drawdown highlights the emergent effects of water level change on reservoir physics, chemistry, and biology

Reservoir Drawdown Highlights the Emergent Effects of Water Level Change on Reservoir Physics, Chemistry, and Biology

A framework for developing a real-time lake phytoplankton forecasting system to support water quality management in the face of global change

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