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    The spatial patterns of directional phenotypic selection

    Access Status
    Open access via publisher
    Authors
    Siepielski, A.
    Gotanda, K.
    Morrissey, M.
    Diamond, S.
    Di Battista, Joseph
    Carlson, S.
    Date
    2013
    Type
    Journal Article
    
    Metadata
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    Citation
    Siepielski, A. and Gotanda, K. and Morrissey, M. and Diamond, S. and Di Battista, J. and Carlson, S. 2013. The spatial patterns of directional phenotypic selection. Ecology Letters. 16 (11): pp. 1382-1392.
    Source Title
    Ecology Letters
    DOI
    10.1111/ele.12174
    ISSN
    1461-023X
    School
    Department of Environment and Agriculture
    URI
    http://hdl.handle.net/20.500.11937/48912
    Collection
    • Curtin Research Publications
    Abstract

    Local adaptation, adaptive population divergence and speciation are often expected to result from populations evolving in response to spatial variation in selection. Yet, we lack a comprehensive understanding of the major features that characterise the spatial patterns of selection, namely the extent of variation among populations in the strength and direction of selection. Here, we analyse a data set of spatially replicated studies of directional phenotypic selection from natural populations. The data set includes 60 studies, consisting of 3937 estimates of selection across an average of five populations. We performed meta-analyses to explore features characterising spatial variation in directional selection. We found that selection tends to vary mainly in strength and less in direction among populations. Although differences in the direction of selection occur among populations they do so where selection is often weakest, which may limit the potential for ongoing adaptive population divergence. Overall, we also found that spatial variation in selection appears comparable to temporal (annual) variation in selection within populations; however, several deficiencies in available data currently complicate this comparison. We discuss future research needs to further advance our understanding of spatial variation in selection. © 2013 John Wiley & Sons Ltd/CNRS.

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