Vertical distribution rules and factors influencing phytoplankton in front of a drinking water reservoir outlet

Lu, Yongao; Tuo, Youcai; Zhang, Linglei; Hu, Xiangying; Huang, Bin; Chen, Min; Li, Zhenghe

doi:10.1016/j.scitotenv.2023.166512

Cited by 8 publications

(5 citation statements)

References 67 publications

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“…Liu et al (2012) showed that seasonal thermal stratification is strongly developed in the tributary, but weak in the mainstream of the TGR. Similar findings have been reported in a drinking water reservoir, where thermal intensity (water temperature and thermal stratification intensity) was found to be a key driver of spatiotemporal changes in phytoplankton (Lu et al, 2023).…”

Section: Vertical Divergences In Phytoplankton Total Density Total Bi...supporting

confidence: 88%

“…This uniformity in the vertical distribution of phytoplankton has emerged as a reliable indicator of the effectiveness of water quality regulation under hydrodynamic conditions. Most related studies have traditionally focused on reporting vertical phytoplankton profiles based on total density (Ryabov et al, 2010;Ikram et al, 2017;Chen et al, 2021;Huang et al, 2022), total biomass (Ji et al, 2017;Xue et al, 2017;Sakharova and Korneva, 2018;Cordero-Bailey et al, 2021;Lu et al, 2023;Radchenko et al, 2023), or species composition (Ryabov et al, 2010;Mojica et al, 2015;Ikram et al, 2017;Sakharova and Korneva, 2018;Chen et al, 2021;Huang et al, 2022;Cui et al, 2023;Lu et al, 2023;Radchenko et al, 2023), with limited attention to diversity (Sakharova and Korneva, 2018;Cui et al, 2023). Diversity is also an important community attribute, and various reviews have concluded that diversity plays a major role in maintaining ecosystem productivity and stability (Cardinale et al, 2012;Tilman et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

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Distinct differences of vertical phytoplankton community structure in mainstream and a tributary bay of the Three Gorges Reservoir, China

Wang,

Tan,

Cai

2024

Front. Plant Sci.

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The vertical distribution of phytoplankton plays a crucial role in shaping the dynamics and structure of aquatic communities. In highly dynamic reservoir systems, water level fluctuations significantly affect the physiochemical conditions and the phytoplankton community. However, the specific effects on the vertical characteristics of phytoplankton between the mainstream and the tributary bay of the reservoir remain unstudied. This study investigated the vertical aspects of phytoplankton density, biomass, α and β diversity through monthly sampling over two years in the mainstream (Chang Jiang, CJ) and a tributary bay (Xiang Xi, XX) of the Three Gorges Reservoir in China. Phytoplankton density and biomass were significantly higher in XX, indicating an increased risk of algal blooms in the tributary. The phytoplankton community in CJ showed more stable species-environment relationships, a lower Shannon index and a higher evenness index, suggesting a relatively simple structure and a more uniform distribution of phytoplankton among different water layers. Conversely, XX showed greater differences between water layers (higher β diversity), with significant negative correlations with water level and positive correlations with DO difference, dissolved silica (DSi) difference, and stratification. Peak phytoplankton density and biomass, as well as high β diversity in XX, occurred during periods of decreased water levels with strong stratification in spring and summer. A structural equation model complemented by path analysis revealed that a decrease in water level could increase β diversity either directly through internal processes with extended residence time or indirectly by modifying stratification and the vertical distribution of DSi in XX. Therefore, a proposed water quality management strategy for XX was to increase the water level or reduce β diversity by implementing artificial mixing during stratification periods. Overall, this study lies in its comprehensive investigation of the vertical characteristics of the phytoplankton community in both the mainstream and the tributary bay of the Three Gorges Reservoir, elucidating the significant impact of water level fluctuations and providing insights for targeted water quality management strategies in the tributary bay to mitigate potential ecological impacts.

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Section: Vertical Divergences In Phytoplankton Total Density Total Bi...supporting

confidence: 88%

Section: Introductionmentioning

confidence: 99%

Distinct differences of vertical phytoplankton community structure in mainstream and a tributary bay of the Three Gorges Reservoir, China

Wang,

Tan,

Cai

2024

Front. Plant Sci.

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“…Therefore, a series of interactions contributed to the significant correlation between dominant phytoplankton species abundance and NH 4 + -N and COD Mn . Compared to the findings of other studies on thermally stratified mixing periods in deep-water lakes [4,[71][72][73][74], when the temperature decreased during the mixing period, the water column was in a state of complete mixing and the phytoplankton abundance was more evenly distributed vertically, but the low temperature and vertically mixing cold water currents resulted in a sharp decrease in phytoplankton abundance. Additionally, the reduction in thermal stratification stability resulted in the release of a large amount of nutrient salts from the sediments, the vertical distribution of nutrient was more uniform, and a greater amount of nutrients were available to the phytoplankton community in each water layer.…”

Section: Relationships Between Phytoplankton Community Structures And...contrasting

confidence: 80%

“…Their abundance and composition change with changes in nutrients, temperature, and light, and they are often used as indicator organisms to monitor water quality [3]. Different thermal stratification conditions will cause changes in the distribution patterns of phytoplankton community structures in water bodies, thus changing the water environment, which has important impacts on the structure and function of aquatic ecosystems [4]. Therefore, the study of the distribution characteristics of phytoplankton communities in different water layers will be helpful for gaining a comprehensive understanding of water environments and for making decisions for sustainable water environment development [5,6].…”

Section: Introductionmentioning

confidence: 99%

Phytoplankton Communities’ Response to Thermal Stratification and Changing Environmental Conditions in a Deep-Water Reservoir: Stochastic and Deterministic Processes

Wang,

Li,

et al. 2024

Sustainability

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Thermal stratification has become more extensive and prolonged because of global warming, and this change has had a significant impact on the distribution patterns of the phytoplankton communities. However, the response of phytoplankton community structures and assembly processes to thermal stratification is not fully understood. We predicted that the structure and assembly processes of phytoplankton communities would be affected by thermal stratification among water layers associated with environmental condition changes, reflecting certain patterns in temporal and spatial scales. Phytoplankton from Danjiangkou Reservoir were collected from October 2021 to July 2022 to verify this prediction. During the sampling period, Danjiangkou Reservoir remained thermally stratified with stability. The composition of the phytoplankton community in the surface layer significantly differed from that in both the thermocline and bottom layer. The phenomenon of thermal stratification affected the pattern of nitrogen and phosphorus distribution and, thus, the processes of the phytoplankton community structures. Deterministic processes had a greater influence on the assembly of the phytoplankton communities in the surface and bottom layers. In contrast, stochastic processes were more prevalent in the assembly of the thermocline phytoplankton community. The phytoplankton community within the thermocline layer exhibited a broader niche range than that in the surface and bottom layers, showing notable dissimilarity from that of the bottom layer. Canonical correspondence analysis (CCA) revealed that the vertical distributions of the phytoplankton communities were significantly correlated with NH4+-N, pH, and water temperature (WT). In summary, this study explained the distribution patterns of phytoplankton community structures and assembly processes in deep-water reservoirs during the stratification period. Additionally, the study explored the potential of using the distribution patterns of phytoplankton in stratified-state deep-water reservoirs under a subtropical–warm temperate climate as climate indicators in the context of global warming.

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“…Nonetheless, monitoring of microalgae growth is difficult in bioreactors. The vertical and horizontal distributions of phytoplankton is highly affected by several factors including water temperature, underwater light conditions, UV radiation, and the availability of nutrients [ 115 , 116 , 117 , 118 ]. Therefore, several factors, such as controlled conditions (e.g., temperature, pH, and nutrient levels), adequate light wavelengths at different depths, and minimal algae overlap, play a crucial role in optimal microalgae cultivation and biomass production in bioreactor systems [ 96 , 119 , 120 , 121 , 122 ].…”

Section: Introductionmentioning

confidence: 99%

Comparative Analysis of Laboratory-Based and Spectroscopic Methods Used to Estimate the Algal Density of Chlorella vulgaris

Fekete,

Sebők,

Klátyik

et al. 2024

Microorganisms

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Chlorella vulgaris is of great importance in numerous exploratory or industrial applications (e.g., medicals, food, and feed additives). Rapid quantification of algal biomass is crucial in photobioreactors for the optimization of nutrient management and the estimation of production. The main goal of this study is to provide a simple, rapid, and not-resource-intensive estimation method for determining the algal density of C. vulgaris according to the measured parameters using UV–Vis spectrophotometry. Comparative assessment measurements were conducted with seven different methods (e.g., filtration, evaporation, chlorophyll a extraction, and detection of optical density and fluorescence) to determine algal biomass. By analyzing the entire spectra of diluted algae samples, optimal wavelengths were determined through a stepwise series of linear regression analyses by a novel correlation scanning method, facilitating accurate parameter estimation. Nonlinear formulas for spectrometry-based estimation processes were derived for each parameter. As a result, a general formula for biomass concentration estimation was developed, with recommendations for suitable measuring devices based on algae concentration levels. New values for magnesium content and the average single-cell weight of C. vulgaris were established, in addition to the development of a rapid, semiautomated cell counting method, improving efficiency and accuracy in algae quantification for cultivation and biotechnology applications.

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Vertical distribution rules and factors influencing phytoplankton in front of a drinking water reservoir outlet

Cited by 8 publications

References 67 publications

Distinct differences of vertical phytoplankton community structure in mainstream and a tributary bay of the Three Gorges Reservoir, China

Distinct differences of vertical phytoplankton community structure in mainstream and a tributary bay of the Three Gorges Reservoir, China

Phytoplankton Communities’ Response to Thermal Stratification and Changing Environmental Conditions in a Deep-Water Reservoir: Stochastic and Deterministic Processes

Comparative Analysis of Laboratory-Based and Spectroscopic Methods Used to Estimate the Algal Density of Chlorella vulgaris

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