Effects of Seasonal Dynamics on Cyanobacteria Proliferation in Aquaculture Fish Ponds

Aquaculture production supports the United Nations Sustainable Development Goals (SDGs), especially SDG 2 (Zero Hunger), by enhancing food security and sustainable practices. This study investigated the seasonal dynamics of cyanobacterial (CB) blooms in aquaculture fishponds in South Africa (SA) and Nigeria (NGA). Water samples were collected twice per season for 1 year and analyzed for physicochemical (temperature, pH, and nutrients), biological (chlorophyl‐a and cyanobacteria biomass), and meteorological parameters. FlowCAM analysis revealed Microcystis sp. as the dominant cyanobacterium across all seasons and locations. Cyanobacteria biomass peaked during dry and wet seasons in NGA, with strong positive correlations with nitrate ( r = 0.87) and phosphate ( r = 0.82). In contrast, SA fishponds showed lower cyanobacteria biomass, which was not significantly correlated with temperature or rainfall. Principal component analysis (PCA) revealed that chlorophyl‐a and temperature were key drivers in SA, while nutrients were more influential in NGA. The study concludes that nutrient dynamics and aquaculture management practices, rather than seasonal temperature or precipitation, are the primary factors driving CB blooms in tropical fishponds. NGA fishponds experienced sustained dominance of Microcystis blooms, driven by elevated nutrient inputs from intensive fertilization and high stocking densities. Hydrological flushing and rainfall‐induced dilution offer potential for CB bloom control, though their effectiveness is influenced by local management practices.

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Publication Details

Journal
Aquaculture Research
Published
2025-01-01
DOI
https://doi.org/10.1155/are/2891403
Primary Topic
Aquatic Ecosystems and Phytoplankton Dynamics
Type
article
Field-Weighted Citation Impact
0.00

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article

Effects of Seasonal Dynamics on Cyanobacteria Proliferation in Aquaculture Fish Ponds

Jabulani R. Gumbo, Mulalo I. Mutoti, Odo J. Bassey
Aquaculture Research
Aquatic Ecosystems and Phytoplankton Dynamics
article

Effects of Seasonal Dynamics on Cyanobacteria Proliferation in Aquaculture Fish Ponds

Jabulani R. Gumbo, Mulalo I. Mutoti, Odo J. Bassey
article en

Abstract

Aquaculture production supports the United Nations Sustainable Development Goals (SDGs), especially SDG 2 (Zero Hunger), by enhancing food security and sustainable practices. This study investigated the seasonal dynamics of cyanobacterial (CB) blooms in aquaculture fishponds in South Africa (SA) and Nigeria (NGA). Water samples were collected twice per season for 1 year and analyzed for physicochemical (temperature, pH, and nutrients), biological (chlorophyl‐a and cyanobacteria biomass), and meteorological parameters. FlowCAM analysis revealed Microcystis sp. as the dominant cyanobacterium across all seasons and locations. Cyanobacteria biomass peaked during dry and wet seasons in NGA, with strong positive correlations with nitrate ( r = 0.87) and phosphate ( r = 0.82). In contrast, SA fishponds showed lower cyanobacteria biomass, which was not significantly correlated with temperature or rainfall. Principal component analysis (PCA) revealed that chlorophyl‐a and temperature were key drivers in SA, while nutrients were more influential in NGA. The study concludes that nutrient dynamics and aquaculture management practices, rather than seasonal temperature or precipitation, are the primary factors driving CB blooms in tropical fishponds. NGA fishponds experienced sustained dominance of Microcystis blooms, driven by elevated nutrient inputs from intensive fertilization and high stocking densities. Hydrological flushing and rainfall‐induced dilution offer potential for CB bloom control, though their effectiveness is influenced by local management practices.

Aquaculture ResearchVol. 2025(1)
Tshwane University of Technology (ZA), Bindura University of Science Education (ZW), University of Venda (ZA)
National Research Foundation, University of Venda
Zero hunger
Openalex Percentile: Top 82%
Aquatic Ecosystems and Phytoplankton Dynamics
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