Effects of hydrological and climatic variables on cyanobacterial blooms in four large shallow lakes fed by the Yangtze River

Ji, Huang; Xu, Qing; Wang, Xixi; Jiang, Hao; Quigley, Edward J.; Sharbatmaleki, Mohamadali; Li, Simeng; Xi, Beidou; Sun, Biao; Li, Caole

doi:10.1016/j.ese.2020.100069

Cited by 31 publications

(15 citation statements)

References 34 publications

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“…The degradation of water resources through eutrophication can lead to the loss of the amenities or services that these aquatic resources provide ( Smith, 2003 ). Climate change accelerated the degradation rate in aquatic systems ( Huang et al, 2021 ). Qinghai-Tibetan Plateau is one of the most sensitive regions to global warming worldwide.…”

Section: Introductionmentioning

confidence: 99%

Response of phytoplankton composition to environmental stressors under humidification in three alpine lakes on the Qinghai-Tibet Plateau, China

Gu,

Jia,

et al. 2024

Front. Microbiol.

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Owning to their extreme environmental conditions, lakes on the Qinghai-Tibet Plateau have typically displayed a simplistic food web structure, rendering them more vulnerable to climate change compared to lakes in plains. Phytoplankton, undergoing a changing aquatic environment, play a crucial role in the material cycle and energy flow of the food chain, particularly important for the unique fish species of the Tibetan Plateau. To identify the changing environment indexes and determine the response of phytoplankton composition to the environment change in alpine lakes, three lakes—Lake Qinghai, Lake Keluke and Lake Tuosu—were selected as study areas. Seasonal sampling surveys were conducted in spring and summer annually from 2018 to 2020. Our findings revealed there were significant changes in physicochemical parameters and phytoplankton in the three lakes. Bacillariophyta was the predominant phytoplankton in Lake Qinghai from 2018 to 2020, with the genera Synedra sp., Navicula sp., Cymbella sp. and Achnanthidium sp. predominated alternately. Lake Keluke alternated between being dominated by Bacillariophyta and cyanobacteria during the same period. Dolichospermum sp., a cyanobacteria, was prevalent in the summer of 2018 and 2019 and in the spring of 2020. In Lake Tuosu, Bacillariophyta was the predominant phytoplankton from 2018 to 2020, except in the summer of 2019, which was dominated by cyanobacteria. Synedra sp., Oscillatoria sp., Pseudoanabaena sp., Chromulina sp. and Achnanthidium sp. appeared successively as the dominant genera. Analysis revealed that all three lakes exhibited higher phytoplankton abundance in 2018 that in 2019 and 2020. Concurrently, they experienced higher average temperatures in 2018 than in the subsequent years. The cyanobacteria, Bacillariophyta, Chlorophyta and overall phytoplankton increased with temperature and decreased with salinity and NH4-N. Besides, the ratios of cyanobacteria, and the ratios of Bacillariophyta accounted in total phytoplankton increased with temperature. These findings suggest that cyanobacteria and phytoplankton abundance, especially Bacillariophyta, may have an increase tendency in the three alpine lakes under warm and wet climate.

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Section: Introductionmentioning

confidence: 99%

Response of phytoplankton composition to environmental stressors under humidification in three alpine lakes on the Qinghai-Tibet Plateau, China

Gu,

Jia,

et al. 2024

Front. Microbiol.

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“…Therefore, defining CyanoHAB occurrence based on cyanotoxin concentration thresholds advised by authoritative agencies and developing predictive models using cyanotoxin concentration as the target parameter can be more informative for decision-making. Previous studies on forecasting CyanoHABs can be categorized into five groups based on their target parameters: (i) chlorophyll- a concentration, − (ii) cyanobacterial abundance/biomass, − (iii) phytoplankton biomass, − and (iv) microcystin concentration, − and (v) other related parameters − (Table S1). Most of these studies used chlorophyll- a concentration, cyanobacterial abundance/biomass, or phytoplankton biomass as the target parameter to develop predictive models, considering these parameters are proxies for cyanobacterial harmful algal blooms.…”

Section: Introductionmentioning

confidence: 99%

One-Week-Ahead Prediction of Cyanobacterial Harmful Algal Blooms in Iowa Lakes

Villanueva,

Yang,

Radmer

et al. 2023

Environ. Sci. Technol.

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“…The average concentration-based methods are commonly not consummate for eutrophication evaluation because the non-point source nutrient pollutants (e.g., TN and TP) discharged into the waters will not only fluctuate greatly with different water regimes due to seasonal changes [18,19] but also show great spatial variability due to the impact of the surrounding environment of lakes and reservoirs [1,20]. The distribution of nutrients in lakes and reservoirs [21] and the differences of environmental factors such as water temperature [22] and pH [23] will further affect the composition and distribution of planktonic algae community [24]. Therefore, studying and analyzing the spatio-temporal distribution characteristics of the water quality and planktonic algal communities in the reservoir is an important basis for obtaining the water environment information, evaluating its water environment quality, exploring its main pollution sources, and carrying out the effective treatment of nonpoint source pollution in the lake and reservoir [8,20].…”

Section: Introductionmentioning

confidence: 99%

Spatio-Temporal Variations of Water Quality and Planktonic Algal Communities in Qingshan Reservoir, China

Yan¹,

Xu²,

Yang³

et al. 2023

Pol. J. Environ. Stud.

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Based on the monitoring data of conventional water quality in Qingshan Reservoir from 2018 to 2019, principal component analysis (PCA) and comprehensive nutritional status index (TLI) are used to evaluate water quality, planktonic algal communities, and eutrophication degree of Qingshan reservoir. The results showed that: 1) from 2018 to 2019, the annual average TLI is 56.54, indicating that the reservoir is in a slightly eutrophic state, which is conducive to algae growth; 2) the water quality of Qingshan Reservoir has obvious temporal and spatial variability: the water environment quality commonly decreased in the order winter>spring>autumn>summer, and exit zone>buffer zone>entry zone; meanwhile, the algal biomass in summer and autumn was significantly higher than that in spring and winter, and most of the algae were concentrated in the surface water except in January and decreased with the increase of depth; And related to the water quality environment, the biomass of cyanobacteria and green algae in Qingshan Reservoir is relatively high in summer, while diatom is the dominant species in spring and winter. We come to the conclusion that targeting at region and time will be more effective for the treatment of reservoir eutrophication.

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Effects of hydrological and climatic variables on cyanobacterial blooms in four large shallow lakes fed by the Yangtze River

Cited by 31 publications

References 34 publications

Response of phytoplankton composition to environmental stressors under humidification in three alpine lakes on the Qinghai-Tibet Plateau, China

Response of phytoplankton composition to environmental stressors under humidification in three alpine lakes on the Qinghai-Tibet Plateau, China

One-Week-Ahead Prediction of Cyanobacterial Harmful Algal Blooms in Iowa Lakes

Spatio-Temporal Variations of Water Quality and Planktonic Algal Communities in Qingshan Reservoir, China

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