The influence of nutrients limitation on phytoplankton growth and microcystins production in Spring Lake, USA

Su, Xiaomei; Steinman, Alan D.; Oudsema, Maggie; Hassett, Michael; Xie, Lin

doi:10.1016/j.chemosphere.2019.06.047

Cited by 24 publications

(11 citation statements)

References 37 publications

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“…Cyanobacterial blooms remain a highly concerning water environmental issue around the world (Casillas-Ituarte et al 2020; Mellios et al 2020;Weber et al 2020). Outbreaks of cyanobacterial blooms consume a large amount of dissolved oxygen in the water, reduce the transparency of the water, and produce toxic and harmful substances, such as microcystins (Funkey et al 2014;Su et al 2019). Outbreaks also affect the growth and reproduction of other aquatic organisms, destroy the overall structure and function of the aquatic ecosystem, and ultimately cause serious imbalances in the aquatic ecosystem (Chen et al 2020;Jia et al 2019; Krztoń and Kosiba 2020).…”

Section: Introductionmentioning

confidence: 99%

The proliferation rule of Microcystis aeruginosa under different initial pH conditions and its influence on the pH value of the environment

Wei

Zhuang

Cheng

et al. 2021

Environ Sci Pollut Res

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This study investigated the characteristics of the proliferation process of Microcystis aeruginosa and its changes to environmental pH values under different initial pH values and different initial inoculation densities. The results showed that although the initial pH value or the initial inoculation density was different, the pH values of the culture systems uctuated up and down throughout the proliferation of M. aeruginosa, both on a daily and hourly time scale, and then tended to stabilize around the same value of 10.0 at the end of proliferation. The optimal pH value for the proliferation of M. aeruginosa was 9.56. This study creatively proposes that the period when the environmental pH value starts to rise rapidly toward 9.0 could be selected as an early warning period for a cyanobacterial outbreak, and the environmental pH value could be adjusted to below 8.0 to delay the outbreak. These results provide a scienti c basis for further understanding the mechanism of cyanobacterial blooms and formulating pHbased control strategies.

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Section: Introductionmentioning

confidence: 99%

The proliferation rule of Microcystis aeruginosa under different initial pH conditions and its influence on the pH value of the environment

Wei

Zhuang

Cheng

et al. 2021

Environ Sci Pollut Res

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“…According to the calculation along with the measurement, a tendency that the chl‐a growth near left bank was always more than or equal to that near the right bank was observed, which was consistent with the distribution of nutrients and dissolved oxygen. Because the nutrients played a significant role in algal growing (Schindler et al, 2008; Su et al, 2019), there were reasons to believe that, in the reach, before the reach where Mal river afflux, the position of nutrients and dissolved oxygen to some degree determined the position where algae grew.…”

Section: Resultsmentioning

confidence: 99%

Transverse distribution of cyanobacteria in a regulated urban river

Yan

Wang

et al. 2021

Ecohydrology

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River eutrophication and CyanoHABs are severe problems that are often ignored because of high current speed and strong self‐purification. In this paper, Liangxi River, Taihu Basin, was selected as the research area. Combined with field investigation, a 2D water environment mathematical model was developed to simulate the chl‐a distribution in Liangxi River. An indicator (Transverse Distribution Center, TDC) and its normalized form (NTDC) to quantitatively represent material transverse distribution in rivers is proposed and coupled in the model. The calculation showed that TDC and NTDC had the property of random fluctuation, seasonal consistency, and water transfer dependence. The multiple regression equation with normalized data indicated that the maximum offset, average variation rate, and average reverting rate of Liangxi River chl‐a NTDC were most affected by the chl‐a dry matter flux ratio between tributaries and the mainstream, followed by flow and chl‐a concentration ratio. From the perspective of river morphology, for different river width change modes and river bending directions, when water flows into and out of these river sections, the chl‐a transverse distribution is subject to different specific effects. In addition, the position of nutrients and dissolved oxygen significantly affected the position of chl‐a growth when the N/P ratio was not very high. Conversely, a high N/P ratio may contribute to decrease of the chl‐a concentration. Proliferation with abundant nutrients may cause the settlement of chl‐a resulting in a decrease of chl‐a in the water column.

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“…Compared with DOC and conductivity, concentrations of TN, NH 4 + -N and TP exhibited inverse trends, with the highest concentrations (as well as the highest concentrations of algal density) mainly observed in October. Recently, Su et al [49] investigated the effect of nutrient limitation on phytoplankton growth, and found that the combination of N and P exhibited a more marked and positive influence on phytoplankton proliferation than N or P addition did independently in Spring Lake, USA. NO 3 − -N concentrations were in the range of 0.87 ± 0.00-0.94 ± 0.06 mg/L, and were not significantly different throughout the whole periods.…”

Section: Variation Of Water Quality Parametersmentioning

confidence: 99%

Community Compositions of Phytoplankton and Eukaryotes during the Mixing Periods of a Drinking Water Reservoir: Dynamics and Interactions

Yan

Chen

Huang

et al. 2020

IJERPH

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In deep drinking water reservoir ecosystems, the dynamics and interactions of community compositions of phytoplankton and eukaryotes during the mixing periods are still unclear. Here, morphological characteristics combined with high-throughput DNA sequencing (HTS) were used to investigate the variations of phytoplankton and the eukaryotic community in a large canyon-shaped, stratified reservoir located at the Heihe River in Shaanxi Province for three months. The results showed that Bacillariophyta and Chlorophyta were the dominant taxa of the phytoplankton community, accounting for more than 97% of total phytoplankton abundance, which mainly consisted of Melosira sp., Cyclotella sp., and Chlorella sp., respectively. Illumina Miseq sequencing suggested that the biodiversity of eukaryotes increased over time and that species distribution was more even. Arthropoda (6.63% to 79.19%), Ochrophyta (5.60% to 35.16%), Ciliophora (1.81% to 10.93%) and Cryptomonadales (0.25% to 11.48%) were the keystone taxa in common, contributing over 50% of the total eukaryotic community. Cryptomycota as a unique fungus was observed to possess significant synchronization with algal density, reaching a maximum of 10.70% in December (when the algal density distinctly decreased) and suggesting that it might affect the growth of algae through parasitism. Co-occurrence network patterns revealed the complicated and diverse interactions between eukaryotes and phytoplankton, suggesting that eukaryotes respond to variations in dynamic structure of the phytoplankton community, although there might be antagonistic or mutualistic interactions between them. Redundancy analysis (RDA) results showed that environmental variables collectively explained a 96.7% variance of phytoplankton and 96.3% variance of eukaryotic microorganisms, indicating that the temporal variations of phytoplankton and eukaryotic microorganisms were significantly affected by environmental conditions. This study shows that potential interactions exist between phytoplankton and eukaryotic microorganism communities, andcould improve our understanding of the ecological roles of phytoplankton and eukaryotic microorganisms in changing aquatic ecosystems. However, long-term investigations are necessary in order to obtain comprehensive understandings of their complicated associations.

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The influence of nutrients limitation on phytoplankton growth and microcystins production in Spring Lake, USA

Cited by 24 publications

References 37 publications

The proliferation rule of Microcystis aeruginosa under different initial pH conditions and its influence on the pH value of the environment

The proliferation rule of Microcystis aeruginosa under different initial pH conditions and its influence on the pH value of the environment

Transverse distribution of cyanobacteria in a regulated urban river

Community Compositions of Phytoplankton and Eukaryotes during the Mixing Periods of a Drinking Water Reservoir: Dynamics and Interactions

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