Vol. 3 No. 1 (2024)
Articles

ASSESSMENT OF PHYTOPLANKTON DIVERSITY IN RELATION TO PHYSICOCHEMICAL CONDITIONS OF RIVER BENUE, MAKURDI, NORTH CENTRAL, NIGERIA

Iliyasu, I. M
Department of Science Laboratory Technology, School of Natural and Applied Sciences, Nigerian Army College of Environmental Science and Technology (NACEST) Makurdi, Benue State, Nigeria. ishaqailiyasu77@gmail.com
Ado, B. V
Department of Microbiology, College of Biological Sciences, Joseph Sarwuan Tarka University, Makurdi, Benue State, Nigeria
Nafiu, S. A
Department of Science Laboratory Technology, Kano State Polytechnic, Kano State, Nigeria
Sule J. T
Department of Industrial Safety and Environmental Engineering Technology, School of Engineering Technology, Nigerian Army College of Environmental Science and Technology (NACEST) Makurdi, Benue State, Nigeria
Yusuf, Z.H.
Federal College of Education P.M.B 2041, Katsina, Nigeria

Published 2024-01-12

Keywords

  • Phytoplankton,
  • Physicochemical parameters,
  • Water Quality,
  • River Benue

How to Cite

Iliyasu, I. M, Ado, B. V, Nafiu, S. A, Sule J. T, & Yusuf, Z.H. (2024). ASSESSMENT OF PHYTOPLANKTON DIVERSITY IN RELATION TO PHYSICOCHEMICAL CONDITIONS OF RIVER BENUE, MAKURDI, NORTH CENTRAL, NIGERIA. Scholarly Journal of Science and Technology Research and Development, 3(1), 1-18. https://www.openjournals.ijaar.org/index.php/sjstrd/article/view/374

How to Cite

Iliyasu, I. M, Ado, B. V, Nafiu, S. A, Sule J. T, & Yusuf, Z.H. (2024). ASSESSMENT OF PHYTOPLANKTON DIVERSITY IN RELATION TO PHYSICOCHEMICAL CONDITIONS OF RIVER BENUE, MAKURDI, NORTH CENTRAL, NIGERIA. Scholarly Journal of Science and Technology Research and Development, 3(1), 1-18. https://www.openjournals.ijaar.org/index.php/sjstrd/article/view/374

Abstract

Phytoplankton diversity as indicators of water quality was assessed in River Benue Nigeria for a period eight (8) months. Water samples for phytoplankton and physicochemical parameters were collected and analyzed monthly between 6:00 – 7:00 am using standard protocols. Three sampling sites from the upstream, midstream and downstream were selected based on variation of human activities. The phytoplankton composition and physico-chemical parameters of the reservoir varied with months and sites. The results revealed the mean range of water temperature (27.10– 28.30°C), pH (7.80 – 8.10), DO (5.90 - 6.60mg/L), BOD (2.40– 3.70mg/L), turbidity (29.50– 46.72NTU), electrical conductivity (637.10– 1064µS/cm), TDS (433.10- 733.80mg/L), phosphate-phosphorus (2.12- 3.11mg/L) and nitrate-nitrite (5.00- 7.01mg/L). The mean of all the physiochemical parameters were within the standard limits set by regulatory bodies with the exception of EC, TDS and Turbidity. Eighteen (18) algal species were identified in which Cyanophyta had 21%, followed by Chlorophyta (36%), Bacillariophyta (34%) and Euglenophyta (9%). Cholorophyta was the dominant group contributing 36% of the total floral composition. The presence of pollution indicator algal species of Microcystis sp., Oscillatoria sp., Euglena sp. and Phacus sp. Canonical correspondence analysis (CCA) revealed a strong positive correlations with pH, turbidity, EC, TDS and Nitrates (P<0.01) while negative correlations were reported with temperature, BOD, Phosphate and Phytoplankton composition (p<0.01). Phytoplankton composition had strong positive correlations with EC, pH and DO (P<0.01). Strong negative correlations were however obtained between TDS and BOD (P<0.01). It can be deduced that alteration in the physicochemical parameters reflects anthropogenic activities in the water body. It is therefore recommended that uncontrolled discharge of pollutants around the water body through irrigation and other human activities should be controlled; indiscriminate discharge of waste into the water body should be avoided in order to curtail degradation of the water body over a period of time.

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