Literature DB >> 33248793

Ecological impacts of freshwater algal blooms on water quality, plankton biodiversity, structure, and ecosystem functioning.

Cihelio Alves Amorim1, Ariadne do Nascimento Moura2.   

Abstract

Harmful algal blooms are among the emerging threats to freshwater biodiversity that need to be studied further in the Anthropocene. Here, we studied freshwater plankton communities in ten tropical reservoirs to record the impact of algal blooms, comprising different phytoplankton taxa, on water quality, plankton biodiversity, and ecosystem functioning. We compared water quality parameters (water transparency, mixing depth, pH, electrical conductivity, dissolved inorganic nitrogen, total dissolved phosphorus, total phosphorus, chlorophyll-a, and trophic state), plankton structure (composition and biomass), biodiversity (species richness, diversity, and evenness), and ecosystem functioning (phytoplankton:phosphorus and zooplankton:phytoplankton ratios as a metric of resource use efficiency) through univariate and multivariate analysis of variance, and generalized additive mixed models in five different bloom categories. Most of the bloom events were composed of Cyanobacteria, followed by Dinophyta and Chlorophyta. Mixed blooms were composed of Cyanobacteria plus Bacillariophyta, Chlorophyta, and/or Dinophyta, while non-bloom communities presented phytoplankton biomass below the threshold for bloom development (10 mg L-1, WHO alert level 2). Higher phytoplankton biomasses were recorded during Cyanobacteria blooms (15.87-273.82 mg L-1) followed by Dinophyta blooms (18.86-196.41 mg L-1). An intense deterioration of water quality, including higher pH, eutrophication, stratification, and lower water transparency, was verified during Cyanobacteria and mixed blooms, while Chlorophyta and Dinophyta blooms presented lower pH, eutrophication, stratification, and higher water transparency. All bloom categories significantly impacted phytoplankton and zooplankton structure, changing the composition and dominance patterns. Bloom intensity positively influenced phytoplankton resource use efficiency (R2 = 0.25; p < 0.001), while decreased zooplankton resource acquisition (R2 = 0.51; p < 0.001). Moreover, Cyanobacteria and Chlorophyta blooms negatively impacted zooplankton species richness, while Dinophyta blooms decreased phytoplankton richness. In general, Cyanobacteria blooms presented low water quality and major threats to plankton biodiversity, and ecosystem functioning. Moreover, we demonstrated that biodiversity losses decrease ecosystem functioning, with cascading effects on plankton dynamics.
Copyright © 2020 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Biodiversity loss; Phytoplankton; Resource use efficiency; Species richness; Tropical reservoirs; Zooplankton

Year:  2020        PMID: 33248793     DOI: 10.1016/j.scitotenv.2020.143605

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  6 in total

1.  The Effects of Water Level Fluctuation on Zooplankton Communities in Shahu Lake Based on DNA Metabarcoding and Morphological Methods.

Authors:  Xuemei Qiu; Quanfeng Lu; Chenchen Jia; Yuting Dai; Shan Ouyang; Xiaoping Wu
Journal:  Animals (Basel)       Date:  2022-04-07       Impact factor: 3.231

2.  Changes in Phytoplankton Community Composition and Phytoplankton Cell Size in Response to Nitrogen Availability Depend on Temperature.

Authors:  Veronika Dashkova; Dmitry V Malashenkov; Assel Baishulakova; Thomas A Davidson; Ivan A Vorobjev; Erik Jeppesen; Natasha S Barteneva
Journal:  Microorganisms       Date:  2022-06-30

3.  Spatiotemporal changes of bacterial communities during a cyanobacterial bloom in a subtropical water source reservoir ecosystem in China.

Authors:  Zhenhua Huang; Cancan Jiang; Shengjun Xu; Xiaoxu Zheng; Ping Lv; Cong Wang; Dongsheng Wang; Xuliang Zhuang
Journal:  Sci Rep       Date:  2022-08-26       Impact factor: 4.996

4.  Ecological health evaluation of rivers based on phytoplankton biological integrity index and water quality index on the impact of anthropogenic pollution: A case of Ashi River Basin.

Authors:  Zhenxiang Li; Chao Ma; Yinan Sun; Xinxin Lu; Yawen Fan
Journal:  Front Microbiol       Date:  2022-08-26       Impact factor: 6.064

5.  Environmental Factors Associated with the Eukaryotic Microbial Community and Microalgal Groups in the Mountain Marshes of South Korea.

Authors:  Young-Saeng Kim; Hyun-Sik Yun; Jea Hack Lee; Han-Soon Kim; Ho-Sung Yoon
Journal:  Pol J Microbiol       Date:  2021-06-21

6.  Prophylactic Addition of Glucose Suppresses Cyanobacterial Abundance in Lake Water.

Authors:  Stephen Vesper; Nathan Sienkiewicz; Ian Struewing; David Linz; Jingrang Lu
Journal:  Life (Basel)       Date:  2022-03-07
  6 in total

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