Secondary production of crustacean zooplankton and biomass of major rotifer species in Lake Bosumtwi/Bosomtwe, Ghana, West Africa

Abstract Studies have shown a strong linkage between zooplankton and fisheries' potential in tropical lakes. High zooplankton production provides the basis for fish production, but knowledge of zooplankton production dynamics in African lakes is extremely limited. Crustacean zooplankton product...

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Bibliographic Details
Published in:African Journal of Ecology
Main Authors: Sanful, Peter O., Frempong, Emmanuel, Aikins, Samuel, Hecky, Robert. E.
Format: Article in Journal/Newspaper
Language:English
Published: Wiley 2012
Subjects:
Online Access:http://dx.doi.org/10.1111/aje.12056
https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1111%2Faje.12056
https://onlinelibrary.wiley.com/doi/pdf/10.1111/aje.12056
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Summary:Abstract Studies have shown a strong linkage between zooplankton and fisheries' potential in tropical lakes. High zooplankton production provides the basis for fish production, but knowledge of zooplankton production dynamics in African lakes is extremely limited. Crustacean zooplankton production and the biomass of dominant rotifers in Lake Bosumtwi were assessed over a 2‐year period. The crustaceans comprised an endemic and extremely abundant cyclopoid copepod, Mesocyclops bosumtwii and the cladoceran Moina micrura . Mean standing stock of the crustaceans was 429 mg dw m −3 , whilst annual production averaged 2.1 g dw m −3 y −1 . Production doubled from 1.4 g dw m −3 y −1 in 2005 to 2.8 g dw m −3 y −1 in 2006. Copepods accounted for 98.5% of crustacean production. The biomass of the dominant rotifers Brachionus calyciflorus and Hexarthra intermedia was less than 1% of total zooplankton biomass. Daily turnover rate and turnover time of the crustaceans was 0.19 day −1 and 6.2 days respectively. Crustacean production yielded no statistical relationship with phytoplankton biomass. Production was well within the range of tropical lakes. Peak crustacean production synchronized maximum rainfall, lake mixing and phytoplankton production. Most importantly, no one year's set of dynamics can be used to characterize zooplankton production in the lake.