Temporal patterns in phytoplankton, zooplankton and fish composition, abundance and biomass at Shirati Bay, Lake Victoria, Tanzania.

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dc.contributor.authorRevania K., Waya
dc.contributor.authorSamwel Mchele Limbu
dc.contributor.authorGodfrey W., Ngupula
dc.contributor.authorChacha, Mwita
dc.contributor.authorYunus D., Mgaya
dc.date.accessioned2019-05-07T13:02:42Z
dc.date.available2019-05-07T13:02:42Z
dc.date.issued2017-03-22
dc.description.abstractShirati Bay is among the important breeding and nursery sites for major fish species in Lake Victoria. Weekly samplings were conducted to assess the temporal patterns in phytoplankton, zooplankton and fish composition, abundance and biomass in relation to prevailing water quality parameters. The study also determined the influences of plankton dynamics and water quality on the fish catch composition and biomass. It was hypothesized that temporal patterns in the composition, abundance and biomass in the plankton in the bay are controlled by water quality parameters that, in turn, affect the composition and biomass of fish catches. The phytoplankton comprised mainly cyanophytes and bacillariophytes, while the zooplankton were dominated by copepods. The heavy rain season exhibited a significantly higher plankton abundance and biomass than the dry season. The plankton abundances in both seasons exhibited significant positive correlations with water temperature and transparency. The phytoplankton community was controlled by calanoid and cyclopoid species. At higher trophic levels, Lates niloticus juveniles, Oreochromis niloticus juveniles and haplochromines controlled Cladocera and Cyclopoid copepods, while Tilapia rendalli juveniles controlled the Rotifera. This study revealed that Cyanophyta and Bacillariophyta are the dominant phytoplankton, whereas cyclopoids dominate the zooplankton species in the bay. These dominant plankton groups are partly controlled by rainfall, water temperature and transparency. Fish biomass, zooplankton and phytoplankton exhibit a typical predator–prey inverse relationship. Thus, evaluation of the plankton composition, abundance and biomass should be mandatory during fisheries stock assessments to effectively manage the fishery resources in the bay.en_US
dc.description.sponsorshipThe Russell E. Train Education for Nature Program, World Wide Fund for Nature (WWF) and Tanzania Fisheries Research Institute (TAFIRI)en_US
dc.identifier.doihttp://dx.doi.org/10.1111/lre.12161
dc.identifier.urihttp://hdl.handle.net/20.500.11810/5213
dc.publisherWileyen_US
dc.subjectBacillariophytaen_US
dc.subjectbiomassen_US
dc.subjectcopepoden_US
dc.subjectpredationen_US
dc.subjecttransparencyen_US
dc.titleTemporal patterns in phytoplankton, zooplankton and fish composition, abundance and biomass at Shirati Bay, Lake Victoria, Tanzania.en_US
dc.typeJournal Article, Peer Revieweden_US
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