The effects of turbulence on phytoplankton and implications for energy transfer with an integrated water quality-ecosystem model in a shallow lake

Zhao, Guixia; Gao, Xueping; Zhang, Chen; Sang, Guoqing

doi:10.1016/j.jenvman.2019.109954

Cited by 32 publications

(9 citation statements)

References 51 publications

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“…For example, a study of Zhongxin Lake in Shanghai Chongming Island reported that turbulence was negatively correlated with phytoplankton biomass, and flow velocity also showed a strong inverse correlation with Chl a concentration (Li et al, 2013). An inhibitory effect of turbulence on phytoplankton growth was also reported by another study that used ecological models and water quality data (Zhao et al, 2020). This study also found that the effect of nutrients on phytoplankton growth was the opposite of that of turbulence.…”

Section: Effects Of Environmental Factors On the Planktonic Eukaryote...supporting

confidence: 60%

Drivers of Spatiotemporal Eukaryote Plankton Distribution in a Trans-Basin Water Transfer Canal in China

Khan²,

Wu³

et al. 2022

Front. Ecol. Evol.

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Planktonic eukaryotes are important components of aquatic ecosystems, and analyses of the whole eukaryotic planktonic community composition and function have far-reaching significance for water resource management. We aimed to understand the spatiotemporal variation and drivers of eukaryotic plankton distribution in the Middle Route Project of the South-to-North Water Diversion in Henan Province, China. Specifically, we examined planktonic assemblages and water quality at five stations along the canal and another one located before the dam in March, June, September, and December 2019. High-throughput sequencing revealed that the eukaryotic plankton community was primarily composed of 53 phyla, 200 genera, and 277 species, with Cryptophyta, Ciliophora, and norank_k_Cryptophyta being the dominant phyla. Redundancy analysis of the eukaryotic community and environmental factors showed that five vital factors affecting eukaryotic plankton distribution were oxidation-reduction potential, nitrate nitrogen, pH, total phosphorus, and water flow velocity. Furthermore, the geographical distribution of eukaryotic communities was consistent with the distance decay model. Importantly, environmental selection dominantly shaped the geographical distribution of the eukaryotic community. In summary, our study elucidates the ecological response of planktonic eukaryotes by identifying the diversity and ecological distribution of planktonic eukaryotes in trans-basin diversion channels.

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Section: Effects Of Environmental Factors On the Planktonic Eukaryote...supporting

confidence: 60%

Drivers of Spatiotemporal Eukaryote Plankton Distribution in a Trans-Basin Water Transfer Canal in China

Khan²,

Wu³

et al. 2022

Front. Ecol. Evol.

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“…Thus far, the PCLake model has been successful in simulating Chl-a and phytoplankton biomass in natural lakes located in the Mediterranean region (Coppens et al, 2020) and temperate regions (Zhao et al, 2020;Zhang et al, 2022), but has never been used in tropical areas. Therefore, the present research is the first attempt to apply such a model to a tropical area.…”

Section: Effect Of Initial Concentrations Of Individual Phytoplankton...mentioning

confidence: 99%

“…PCLake used in this study is a freely distributed OSIRIS version released under the GNU Lesser General Public License (Mooij et al, 2010). PCLake was created for non-stratified temperate lakes in Northwestern Europe and has been applied effectively to several temperate lakes (Kuzyaka, 2015;Rolighed et al, 2016;Zhao et al, 2020;Zhang et al, 2022) including those in the Mediterranean (Mellios et al, 2015;Laspidou et al, 2017;Coppens et al, 2020) and subtropical (Fragoso et al, 2011;Kong et al, 2017) regions. However, it has never been used in the tropical areas.…”

Section: Introductionmentioning

confidence: 99%

Feasible Application of PCLake Model to Predict Water Quality in Tropical Reservoirs

Wongpipun,

Sirivithayapakorn,

Vongthanasunthorn

2024

Environ. Nat. Resour. J.

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The PCLake model has not previously been used for tropical reservoirs. This study attempted to apply the PCLake model to predict the chlorophyll a concentrations (Chl-a) in a tropical reservoir in Thailand. Sensitivity analyses were performed for the constants affecting the prediction of Chl-a in the phytoplankton module. The model calibration was performed by using the adjusted value of the most sensitive constant with the observed data from July to December 2020. The effects of the initial trophic state of the reservoir on the simulated Chl-a were evaluated. The results showed that Chl-a were sensitive to six constants. Among these constants, the value of the specific extinction of detritus (cExtSpDet) was adjusted using the calculated values from the typical limnological parameters of the studied reservoir. Statistical analyses of the results of calibration and the subsequent validation with the observed data from February to September 2022 were listed as follows: NSE=0.55 and 0.37, RSR=0.67 and 0.79, and PBIAS=27% and 9%, respectively. The initial trophic state of the reservoir had no influence on the long-term prediction of Chl-a. This preliminary effort indicates that the PCLake model can be used to predict Chl-a, which is representative of algal biomass in tropical reservoirs and is essential to water quality models, without complex modifications.

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“…Although the flows generated by wind, including basin-scale circulation, waves and turbulent eddies exceed the size of Microcystis colonies by far, these motions are coupled through the turbulent cascade to the small-scale viscous environment of cells and colonies ( Regel et al., 2004 ). Although wind disturbances at appropriate magnitudes can promote the aggregation of Microcystis colonies, continuous wind disturbances act as stressors by inhibiting growth and their aggregation through shear forces ( O’Brien et al., 2004 ; Liu et al., 2019 ; Zhao et al., 2020 ).…”

Section: Introductionmentioning

confidence: 99%

Dynamics of Microcystis surface scum formation under different wind conditions: the role of hydrodynamic processes at the air-water interface

Wu,

Rovelli

et al. 2024

Front. Plant Sci.

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Due to climate change, Microcystis blooms occur at increasing frequencies in aquatic ecosystems worldwide. Wind-generated turbulence is a crucial environmental stressor that can vertically disperse the Microcystis surface scum, reducing its light availability. Yet, the interactions of Microcystis scum with the wind-generated hydrodynamic processes, particularly those at the air-water interface, remain poorly understood. Here, we explore the response of Microcystis (including colony size and migration dynamics) to varying magnitudes and durations of intermittent wind disturbances in a mesocosm system. The flow velocities, size of Microcystis colonies, and the areal coverage of the water surface by scum were measured through video observations. Our results demonstrate that low wind speeds increase colony size by providing a stable condition where Microcystis forms a scum layer and aggregates into large colonies at the air-water interface. In contrast, wind disturbances disperse scum and generate turbulence, resulting in smaller colonies with higher magnitudes of wind disturbance. We observed that surface scum can form rapidly following a long period (6 h) of high-magnitude (4.5 m s-1) wind disturbance. Furthermore, our results indicate reduced water surface tension caused by the presence of Microcystis, which can decrease surface flow velocity and counteract wind-driven mixing. The reduced surface tension may also drive lateral convection at the water surface. These findings suggest that Microcystis reduces surface tension, likely by releasing surface-active materials, as an adaptive response to various wind conditions. This could result in an increased rate of surface scum re-formation under wind conditions and potentially facilitate the lateral expansion of scum patches during weak wind periods. This study reveals new insights into how Microcystis copes with different wind conditions and highlights the importance of the air-water interface for Microcystis scum dynamics.

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The effects of turbulence on phytoplankton and implications for energy transfer with an integrated water quality-ecosystem model in a shallow lake

Cited by 32 publications

References 51 publications

Drivers of Spatiotemporal Eukaryote Plankton Distribution in a Trans-Basin Water Transfer Canal in China

Drivers of Spatiotemporal Eukaryote Plankton Distribution in a Trans-Basin Water Transfer Canal in China

Feasible Application of PCLake Model to Predict Water Quality in Tropical Reservoirs

Dynamics of Microcystis surface scum formation under different wind conditions: the role of hydrodynamic processes at the air-water interface

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