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    A continental analysis of correlations between tree patterns in African savannas and human and environmental variables

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    Authors
    Groen, T.A.
    Langevelde, F. van
    Vijver, C.A.D.M. van de
    Raad, A.L. de
    Leeuw, Jan de
    Prins, H.H.T.
    Date
    2011-08
    Language
    en
    Type
    Journal Article
    Accessibility
    Limited Access
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    Citation
    Groen, T.A., Langevelde, F. van, Vijver, C.A.D.M. van de, Raad, A.L. de , Leeuw, J. de and Prins, H.H.T. 2011. A continental analysis of correlations between tree patterns in African savannas and human and environmental variables. Journal of Arid Environments 75(8): 724-733.
    Permanent link to cite or share this item: https://hdl.handle.net/10568/3516
    DOI: https://doi.org/10.1016/j.jaridenv.2011.03.010
    Abstract/Description
    This study analyses possible relationships between natural processes taking place in savannas and the tree patterns found in savannas. This can lead to new hypotheses about which processes are driving savanna physiognomy. To do so tree patterns were quantified for African savannas from historical aerial photographs applying frequently used landscape metrics. Also, additional data for these areas were collected to quantify the processes taking place at these locations. Correlations between tree pattern indices and explaining factors were analysed. We found a negative trend between tree cover and density of sheep and goats, but no relationship between tree cover and density of cattle, suggesting that small livestock have an effect on tree cover, but that larger livestock (or obligate grazers) do not. Also, a positive correlation between human population density and tree cover was found. Possible explanations for the found relations are discussed. Subsequent ways to analyse the latter correlation are discussed, and the potential of the presented historical database of aerial photographs is highlighted.
    AGROVOC Keywords
    environment; trees
    Subjects
    LIVELIHOODS; CLIMATE CHANGE;
    Regions
    Africa
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