Specific physicochemical parameters influence on the plankton structure in agbarho-ogbe-ijoh stretch of Warri River, Nigeria

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Research Paper 01/11/2019
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Specific physicochemical parameters influence on the plankton structure in agbarho-ogbe-ijoh stretch of Warri River, Nigeria

Kate Isioma Iloba, Christiana Ebikaboere Akpoyibo
J. Bio. Env. Sci.15( 5), 92-105, November 2019.
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Abstract

The continuous discharge of effluents into Warri River, impacts on its water quality parameters as well as plankton species which requires commensurate surveillance. This study focuses on its physicochemical characteristics and their influence on plankton composition and abundance. The surface water samples and plankton collected monthly from June to November 2014 were analyzed using standard methods. The physicochemical parameters showed variations among the stations. The ANOVA results revealed that water temperature, transparency, turbidity, TDS, conductivity, pH, acidity, Dissolved Oxygen and phosphate were significantly different (P <0.05) among the studied sites. A total of 849 plankton species identified; 814 species were phytoplankton consisting of four groups (Bacillariophyta> Chlorophyta> Euglenophyta> Cyanophyta, arranged in order of dominance. While zooplankton had 35 species grouped into 5 groups; Rotifera> Copepoda> Protozoa> Cladocera> Arachnida, in order of dominance. Pearson correlation revealed a significant correlation between different Plankton species population and some parameters (p<0.05). The principal component analysis labelled acidity, organic load, mineralization, nutrient, and organic pollution as influential factors governing plankton abundance in the studied area. These factors identify with materials from industries and human activities along the river, which results in the alteration of plankton composition, particularly Melosira granulata (Ehrenberg) Ralfs,1861. Inferred biological indicator of the water body. Diversity indices ranged from 0.28 to 1.39; Station 2 had the highest (1.39) and Station 1 the lowest species richness, a highly polluted river.

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