Journal of Aquatic Ecology

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Microscopic suspended algae, or phytoplankton, are the prime source of organic matter supporting food webs in freshwater ecosystems. Studying the distribution of their population and understanding the interactions between environmental factors and the phytoplankton community could be effective in water quality improvement and management decisions. In this study, the Redundancy Analysis, Pearson correlations, and regression analysis were applied as an integrated approach to explore the correlation between environmental factors and the phytoplankton community in Shamil Dam Lake. During the study period, 4 divisions of phytoplankton communities including Bacillariophyta, Chlorophyta, Cyanophyta, and Pyrrophyta were identified. Phytoplankton assemblages were dominated by Bacillariophyta during the study period. The average phytoplankton abundance was 1/2×10⁶ cells/L, ranging from 1/8×10³ ∼ 2/9× 10⁶ cells/L. Average phytoplankton diversity index and evenness values were 0.78 and 0.51, respectively, revealing low biodiversity in the phytoplankton community in Shamil Dam Lake. Results of Redundancy Analysis and Pearson correlations indicated that the water temperature, TDS, and nutrients (nitrate, ammonia, and phosphate) were the most important factors affecting the phytoplankton dynamics in Shamil Dam Lake during the study period.

Keywords: Pearson, Redundancy Analysis, Shamil Dam, Phytoplankton

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