Spatio-Temporal Dynamics in Physico-Chemical Properties, Phytoplankton and Bacterial Diversity as an Indication of the Bovan Reservoir Water Quality DOI Open Access
S. Zlatkovic, Olja Medić, Dragana Predojević

et al.

Water, Journal Year: 2022, Volume and Issue: 14(3), P. 391 - 391

Published: Jan. 27, 2022

The study aimed to investigate the physico-chemical properties as well phytoplankton and bacterial community diversity of Bovan Lake reservoir in Serbia gain insight into seasonal dynamic water quality. All analyses were performed at three localities depths spring, summer, autumn, winter 2019. Seven phyla comprising 139 taxa detected all (Chlorophyta 58%, Bacillariophyta 14%, Cyanobacteria 9%, Chrysophyta 5%, Dinophyta Euglenophyta Cryptophyta 4%). Winter 2019 was characterized by presence 36 unique species except Euglenophyta. Bacterial showed that Proteobacteria, Actinobacteria, Bacteroidetes, Cyanobacteria, Verrucomicrobia dominated intake locality (0.5, 10, 20 m below surface). In general, parameters, phytoplankton, composition depended on season depth satisfactory ecological status quality localities, meets needs for intended purposes.

Language: Английский

Ecological impacts of freshwater algal blooms on water quality, plankton biodiversity, structure, and ecosystem functioning DOI
Cihelio Alves Amorim, Ariadne do Nascimento Moura

The Science of The Total Environment, Journal Year: 2020, Volume and Issue: 758, P. 143605 - 143605

Published: Nov. 17, 2020

Language: Английский

Citations

262
Understanding the Risks of Diffusion of Cyanobacteria Toxins in Rivers, Lakes, and Potable Water DOI Creative Commons

Amin Mahmood Thawabteh,

Hani Naseef,

Donia Karaman

et al.

Toxins, Journal Year: 2023, Volume and Issue: 15(9), P. 582 - 582

Published: Sept. 20, 2023

Blue-green algae, or cyanobacteria, may be prevalent in our rivers and tap water. These minuscule bacteria can grow swiftly form blooms warm, nutrient-rich Toxins produced by cyanobacteria pollute streams harm the liver nervous system humans. This review highlights properties of 25 toxin types 12 different genera. The also covered strategies for reducing controlling issues. include using physical chemical treatments, cutting back on fertilizer input, algal lawn scrubbers, antagonistic microorganisms biocontrol. Micro-, nano- ultrafiltration techniques could used removal internal extracellular cyanotoxins, addition to powdered granular activated carbon, ozonation, sedimentation, ultraviolet radiation, potassium permanganate, free chlorine, pre-treatment oxidation techniques. efficiency treatment removing intracellular cyanotoxins is demonstrated. approaches aim lessen risks cyanobacterial associated toxins. Effective management water systems depends early detection quick action. Cyanobacteria cells their toxins detected microscopy, molecular methods, chromatography, spectroscopy. Understanding causes many ways elimination will help this crucial environmental issue.

Language: Английский

Citations

26
Environmental factors associated with cyanobacterial assemblages in a mesotrophic subtropical plateau lake: A focus on bloom toxicity DOI
Lili Hu, Kun Shan,

Licheng Huang

et al.

The Science of The Total Environment, Journal Year: 2021, Volume and Issue: 777, P. 146052 - 146052

Published: Feb. 24, 2021

Language: Английский

Citations

36
Temporal prediction of algal parameters in Three Gorges Reservoir based on highly time-resolved monitoring and long short-term memory network DOI
Kun Shan, Tian Ouyang, Xiaoxiao Wang

et al.

Journal of Hydrology, Journal Year: 2021, Volume and Issue: 605, P. 127304 - 127304

Published: Dec. 14, 2021

Language: Английский

Citations

36
Impact of cyanobacterial bloom intensity on plankton ecosystem functioning measured by eukaryotic phytoplankton and zooplankton indicators DOI Creative Commons
Kun Zhao, Lizhu Wang, Qingmin You

et al.

Ecological Indicators, Journal Year: 2022, Volume and Issue: 140, P. 109028 - 109028

Published: June 6, 2022

Cyanobacterial blooms are global threats to freshwater ecosystem functioning, human health, and ecoservices. We assessed impacts of cyanobacterial bloom intensity on plankton functioning using eukaryotic phytoplankton zooplankton indicators associated key physicochemical data collected from four seasons two years at 24 evenly distributed sites in Lake Taihu that has year-around blooms. Our analyses involved comparison site-groups with different intensities analyzing all sampling together comparison, hierarchical partitioning analysis, generalized additive mixed model, structural equation model. found abundance positively TP temperature (negatively TN:TP), while TN. There was an inverse relation trend between relative abundances cyanobacteria, but there no clear absolute cyanobacteria. Rotifers were most dominant when cyanobacteria unabundant, cladocerans presented higher high abundance. Phytoplankton functional richness species negatively intensity. resource use efficiencies (RUEs) rotifers, RUE cladocerans. analytical approach integrating uncovered how shifted altered biological conditions identified the mechanism strength interactive linkages among indicators. Although our results may be oligotrophic lakes or reservoirs, findings provide new insights understanding dynamics communities for polymictic eutrophic lakes, which have broad application enhancing knowledge this subject provides science base managing lake water quality functioning.

Language: Английский

Citations

23
Both biotic and abiotic predictors explain significant variation in cyanobacteria biomass across lakes from temperate to subarctic zones DOI Creative Commons
Paul W. MacKeigan, Zofia E. Taranu, Frances R. Pick

et al.

Limnology and Oceanography, Journal Year: 2023, Volume and Issue: 68(6), P. 1360 - 1375

Published: April 23, 2023

Abstract The development of cyanobacteria blooms is increasing concern in many lakes worldwide, and as a result, modeling their predictors vital for understanding where why they occur. In this study, we developed analyzed 640‐lake data set that spans Canada 12 ecozones to identify the drivers biomass several key toxin‐ bloom‐forming genera ( Microcystis , Aphanizomenon Dolichospermum ). database consisted an exhaustive list potential n = 55), including water chemistry, land‐use, zooplankton variables. We applied series empirical approaches significant thresholds (generalized linear additive models, mixed effect regression trees), all while accounting ecozone variability. Across approaches, total phosphorus was identified most important predictor cyanobacterial focal biomass. addition, across showed associations with dissolved organic inorganic carbon, ions. Despite widely held notion are often toxic and/or poor food source zooplankton, found positive relationship between particularly daphnid copepod Localized top‐down forces evolutionary adaptations resulting from long‐term exposure eutrophic among possible explanations observed association. By considering suite complementary nonlinear models provided greater predictive power random minor due overarching importance local abiotic biotic factors.

Language: Английский

Citations

15
A novel framework to predict chlorophyll-a concentrations in water bodies through multi-source big data and machine learning algorithms DOI

Hamed Karimian,

Jinhuang Huang, Youliang Chen

et al.

Environmental Science and Pollution Research, Journal Year: 2023, Volume and Issue: 30(32), P. 79402 - 79422

Published: June 7, 2023

Language: Английский

Citations

13
Hierarchical deep learning model to simulate phytoplankton at phylum/class and genus levels and zooplankton at the genus level DOI
Sang‐Soo Baek,

Eun‐Young Jung,

JongCheol Pyo

et al.

Water Research, Journal Year: 2022, Volume and Issue: 218, P. 118494 - 118494

Published: April 23, 2022

Language: Английский

Citations

21
Salty freshwater macrophytes: the effects of salinization in freshwaters upon non-halophyte aquatic plants DOI
Mauricio Hoffmann Moreira, Ng Haig They, Lúcia Ribeiro Rodrigues

et al.

The Science of The Total Environment, Journal Year: 2022, Volume and Issue: 857, P. 159608 - 159608

Published: Oct. 21, 2022

Language: Английский

Citations

19
RGB sensor integrated into unmanned aerial vehicle for monitoring cyanobacterial density in reservoirs DOI Creative Commons

Will Jones Moura Soares da Silva,

Alex Bruno da Silva Farias, Janiele França Nery

et al.

Integrated Environmental Assessment and Management, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 6, 2025

The proliferation of cyanobacteria has become a significant water management challenge due to the increasing eutrophication supply reservoirs. Cyanobacterial blooms thrive on elevated nutrient concentrations and form extensive green mats, disrupting local ecosystem. Furthermore, many cyanobacterial species can produce toxins that are lethal vertebrates called cyanotoxins. Traditional monitoring methods inefficient for assessing quality in reservoirs as whole, given sampling is only carried out catchment area public supply, which exposes population risk contamination multiple uses these Therefore, novel supported by recent technological advances, such use unmanned aerial vehicles (UAVs), being tested their effectiveness densities aquatic ecosystems. This study analyzed UAV images two assess density. UAVs were equipped with RGB sensors flew over areas same day at locations performed determination phytoplankton density, biovolume chlorophyll-a. community was dominated both High coefficients obtained predictive models chlorophyll-a concentration (r2 = 0.92), total 0.89 r2 0.97, respectively), biovolumes 0.96 both). Applying orthomosaics generated from enabled visualization spatial distribution biomass through maps. method potential application bodies crucial supply.

Language: Английский

Citations

0