Analysis shows seasonal cycles of cyanobacteria and nutrient levels in fish ponds in South Africa and Nigeria, suggesting management strategies.
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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Bassey et al. (2025) studied this question.
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