Please use this identifier to cite or link to this item: http://ir.futminna.edu.ng:8080/jspui/handle/123456789/14625
Title: Mapping of Phytoplankton Composition and Abundance in Tagwai Dam Reservoir Niger State, Nigeria
Authors: Ibrahim, Saratu Usman
Yisa, Tswanya Ananias
Ibrahim, Abdullahi
Abah, I.H.
Keywords: GIS
Phytoplankton
GPS
Mapping
Quick Bird Satellite Imagery
Issue Date: Apr-2019
Publisher: School of Agriculture and Agricultural, Federal University of Technology, Minna, Nigeria
Citation: Ibrahim et. al., 2019
Series/Report no.: 1;
Abstract: The mapping of phytoplankton composition and abundance of Tagwai reservoir were assessed with the aid of computer-assisted interpretation of Quick Bird Satellite imagery (Geographical Information System) over a period of six months (February-July 2016). Four sampling stations were selected based on provincial activities around the lake and the co-ordinate points of each identified sampling station were taking using Global Positioning System (GIS). Plankton net was used to take plankton samples from the water surface monthly, preserved using with 5% formalin and taken to the laboratory for analysis. A total of fifteen species from four taxonomic group were identified in which chlorophyceae was the most abundant which ranged from 20.00±14.14 (station III) to 106.00±61.89 (station II) There was a significant difference (P<0.05) in the mean variation of chlorophyceae observed in all stations followed by Baccillariophyceae, with the mean range of 68.57±65.94 (station II) to 12.00±4.47 (station III), and Cyanophyceae that ranges from 40.00±28.28 (station III) to 70.00±28.28 (station II) The difference was not significant (P>0.05) in the mean variation of Baccillariophyceae and Cyanophyceae distributions in all the stations.While the lowest was Desmidiaceae. The high relative abundance of Chlorophyceae is an indication that the reservoir will support fish production
URI: http://repository.futminna.edu.ng:8080/jspui/handle/123456789/14625
Appears in Collections:Water Resources, Aquaculture & Fisheries Technology

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