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    The spatial and temporal variations in nematofauna of recovering rhizophora mucronata mangroves at Gazi Bay, Kenya

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    Date
    2013
    Author
    Mutua, AK
    Ntiba, M. J
    Muthumbi, A
    Vanreusel, A
    Type
    Presentation; en
    Language
    en
    Metadata
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    Abstract
    The spatio - temporal variations in physical sediment characteristics and nematode community assemblages were investigated and compared between a natural, a 10 years reforested and a degraded mangrove ecosystem in Gazi Bay, Kenya. PCA showed a clear separation of the degraded site from both the natural and the 10 years reforested sites based TOM and silt/clay. The wet and the dry seasons within the natural and the 10 years reforested sites were also separated based on salinity and silt/clay . An nMDS and ANOSIM analysis on nematode community, gave a clear spatial pattern, with both the natural and the 10 years reforested sites separ ated from the degraded site. The genera Terschellingia and Pierickia were dominant in the natural and the 10 years reforested sites respectively, and were responsible for the differences between both the natural and 10 years reforested sites and the degrad ed site. The degraded site was characterised by high densities of the genus Metachromadora . This study shows that clear felling of mangroves leads to changes in nematode genera composition. It is also evident that the nematode community has fully re - establ ished within 10 years of reforestation.
    URI
    http://www.tropical-biology.org/information/admin/Documents/Book%20of%20Abstract-TAAG%20Nairobi%202013.pdf
    http://hdl.handle.net/11295/80857
    Citation
    Mutua, AK., Ntiba, MJ., Muthumbi, A., Vanreusel A.(2013).The spatial and temporal variations in nematofauna of recovering rhizophora mucronata mangroves at Gazi Bay, Kenya. TAAG First African Student’s Conference, Nairobi. 2 - 4 July, 2013
    Publisher
    University of Nairobi
    Subject
    Mangroves, nematodes, reforestation, recolonisation, spatial, tempora
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    • Faculty of Science & Technology (FST) [853]

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