Abdul, W., I. T., O., K. E., O., S. B., B., E. O., A., A. F., B. (2018). Influence of Environmental Variables on the Abundance and Distribution of Phytoplankton: A case Study of Lekki Lagoon, Sub-Saharan Africa. test, 21(4), 97-110. doi: 10.21608/ejabf.2018.7724
W. O. Abdul; Omoniyi I. T.; Oguntuase K. E.; Bada S. B.; Adekoya E. O.; Braide A. F.. "Influence of Environmental Variables on the Abundance and Distribution of Phytoplankton: A case Study of Lekki Lagoon, Sub-Saharan Africa". test, 21, 4, 2018, 97-110. doi: 10.21608/ejabf.2018.7724
Abdul, W., I. T., O., K. E., O., S. B., B., E. O., A., A. F., B. (2018). 'Influence of Environmental Variables on the Abundance and Distribution of Phytoplankton: A case Study of Lekki Lagoon, Sub-Saharan Africa', test, 21(4), pp. 97-110. doi: 10.21608/ejabf.2018.7724
Abdul, W., I. T., O., K. E., O., S. B., B., E. O., A., A. F., B. Influence of Environmental Variables on the Abundance and Distribution of Phytoplankton: A case Study of Lekki Lagoon, Sub-Saharan Africa. test, 2018; 21(4): 97-110. doi: 10.21608/ejabf.2018.7724

Influence of Environmental Variables on the Abundance and Distribution of Phytoplankton: A case Study of Lekki Lagoon, Sub-Saharan Africa

Egyptian Journal of Aquatic Biology and Fisheries
Article 7, Volume 21, Issue 4, October 2017, Pages 97-110    PDF (479.69 K)
Document Type: Original Article
DOI: 10.21608/ejabf.2018.7724
Authors
W. O. Abdul; Omoniyi I. T.1; Oguntuase K. E.1; Bada S. B.2; Adekoya E. O.1; Braide A. F.1
1Department of Aquaculture and Fisheries Management, Federal University of Agriculture Abeokuta, Nigeria
2Department of Environmental Management and Toxicology, Federal University of Agriculture Abeokuta, Nigeria
Abstract
The distribution and abundance of biota in an aquatic environment is generally influenced by environmental parameters. This study was carried out to assess the relationship between environmental parameters and phytoplankton distribution in Lekki lagoon, Sub-Saharan Africa. Phytoplankton and environmental data were obtained from nine stations in three replicates each from January to December, 2016. The relationship between phytoplankton and environmental data was assessed through multivariate analysis using PRIMER v6 Software. A total of thirty-seven (37) species from six (6) divisions were recorded which included Chlorophyta, Bacillariophyta, Cyanophyta, Charophyta, Ochrophyta and Euglenophyta. Chlorophyta appeared to be the most diverse division with 14 species, while Ochrophyta was represented by a single species. The highest number of individuals (25809 ind/ml) and species (21) was observed in Station 3, while Stations 8 and 1 ranked least in terms of number of individuals (10038 ind/ml) and species (14) respectively. The nine stations formed two non-significantly (p>0.05) different clusters based on the phytoplankton community and were strongly correlated with transparency, nitrate and total suspended solids combined. The model that best explained the pattern of distribution of phytoplankton among the stations included depth, conductivity, dissolved oxygen, biological oxygen demand, total dissolved solids and total suspended solids. The findings showed that distribution of phytoplankton is influenced by a complex of environmental parameters especially those related to light and nutrient availability.  
Keywords
phytoplankton; Environmental parameters; Multivariate Analysis; Lekki Lagoon; Africa
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