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    Local adaptation, dispersal evolution, and the spatial eco-evolutionary dynamics of invasion

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    Article_Ecology_Letters.pdf
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    Author
    Andrade-Restrepo, Martín
    Champagnat, Nicolas
    Ferrière, Régis
    Affiliation
    Univ Arizona, Dept Ecol & Evolutionary Biol
    Issue Date
    2019-05-01
    Keywords
    Adaptive evolution
    environmental gradient
    population clustering
    range expansion
    spatially structured population
    
    Metadata
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    Publisher
    WILEY
    Citation
    Andrade‐Restrepo, M. , Champagnat, N. and Ferrière, R. (2019), Local adaptation, dispersal evolution, and the spatial eco‐evolutionary dynamics of invasion. Ecol Lett, 22: 767-777. doi:10.1111/ele.13234
    Journal
    ECOLOGY LETTERS
    Rights
    © 2019 John Wiley & Sons Ltd/CNRS.
    Collection Information
    This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.
    Abstract
    Local adaptation and dispersal evolution are key evolutionary processes shaping the invasion dynamics of populations colonizing new environments. Yet their interaction is largely unresolved. Using a single-species population model along a one-dimensional environmental gradient, we show how local competition and dispersal jointly shape the eco-evolutionary dynamics and speed of invasion. From a focal introduction site, the generic pattern predicted by our model features a temporal transition from wave-like to pulsed invasion. Each regime is driven primarily by local adaptation, while the transition is caused by eco-evolutionary feedbacks mediated by dispersal. The interaction range and cost of dispersal arise as key factors of the duration and speed of each phase. Our results demonstrate that spatial eco-evolutionary feedbacks along environmental gradients can drive strong temporal variation in the rate and structure of population spread, and must be considered to better understand and forecast invasion rates and range dynamics.
    Note
    12 month embargo; published online: 18 March 2019
    ISSN
    1461-0248
    PubMed ID
    30887688
    DOI
    10.1111/ele.13234
    Version
    Final accepted manuscript
    Sponsors
    CNRS; Administrative Department of Science, Technology and Innovation of Colombia Colciencias; Chair "Modelisation Mathematique et Biodiversite' of Veolia Environnement - E cole Polytechnique - Museum National d'Histoire Naturelle - Fondation X; French National Research Agency [ANR-14-CE25-0013]; FACE Partner University Fund; CNRS Mission pour l'Interdisciplinarite; LabEx MemoLife; PSL University (IRIS OCAV); PSL University (PSL-University of Arizona Mobility Program); NSF Dimensions of Biodiversity [DEB-1831493]
    Additional Links
    https://onlinelibrary.wiley.com/doi/full/10.1111/ele.13234
    ae974a485f413a2113503eed53cd6c53
    10.1111/ele.13234
    Scopus Count
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