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    A simple field based method for rapid wood density estimation for selected tree species in Western Kenya

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    Authors
    Olale, Kennedy
    Yenesew, Abiy
    Jamnadass, Ramni H.
    Sila, Andrew M.
    Shepherd, Keith D.
    Date Issued
    2019-09
    Language
    en
    Type
    Journal Article
    Review status
    Peer Review
    Accessibility
    Open Access
    Usage rights
    CC-BY-4.0
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    Citation
    Olale, Kennedy; Yenesew, Abiy; Jamnadass, Ramni; Sila, Andrew; Shepherd, Keith. 2019. A simple field based method for rapid wood density estimation for selected tree species in Western Kenya. Scientific African. 7p. DOI: https://doi.org/10.1016/j.sciaf.2019.e00149
    Permanent link to cite or share this item: https://hdl.handle.net/10568/106476
    DOI: https://doi.org/10.1016/j.sciaf.2019.e00149
    Abstract/Description
    Wood density is an important variable for accurate quantification of woody biomass and carbon stocks. Conventional destructive methods for wood density estimation are resource intensive, prohibiting their use, limiting the application of approaches that would minimize uncertainties in tree biomass estimates. We tested an alternative method involving tree coring with a carpenter's auger to estimate wood density of seven tropical tree species in Western Kenya. We used conventional water immersion method to validate results from the auger core method. The mean densities (and 95% confidence intervals) ranged from 0.36 g cm−3 (0.25–0.47) to 0.67 g cm−3 (0.61–0.73) for the auger core method, and 0.46 g cm−3 (0.42–0.50) to 0.67 g cm−3 (0.61–0.73) for the water immersion method. The auger core and water immersion methods were not significantly different for four out of seven tree species namely; Acacia mearnsii, Mangifera indica, Eucalyptus grandis and Grevillea robusta. However, wood densities estimated from the auger core method were lower (t (61) = 7.992, P = <0.001). The ease of the auger core method application, as a non-destructive method in acquiring wood density data, is a worthy alternative in biomass and carbon stocks quantification. This method could protect trees outside forests found in most parts of Africa.
    Other CGIAR Affiliations
    Water, Land and Ecosystems
    AGROVOC Keywords
    forest resources; wood density; augers
    Subjects
    CLIMATE CHANGE; ECOSYSTEM SERVICES
    Countries
    Kenya
    Regions
    Eastern Africa
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    • Rural-Urban Linkages [179]

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