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    Interaction rewiring and the rapid turnover of plant-pollinator networks

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    Name:
    CaraDonna_Main_Document_ELE-00 ...
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    Format:
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    Description:
    Final Accepted Manuscript
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    Author
    CaraDonna, Paul J.
    Petry, William K.
    Brennan, Ross M.
    Cunningham, James L.
    Bronstein, Judith L.
    Waser, Nickolas M.
    Sanders, Nathan J.
    Affiliation
    Department of Ecology & Evolutionary Biology, University of Arizona
    Issue Date
    2017-03
    Keywords
    Adaptive foraging
    beta-diversity
    community composition
    food webs
    interaction turnover
    mutualism
    networks
    null models
    optimal foraging theory
    phenology
    
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    Show full item record
    Publisher
    WILEY-BLACKWELL
    Citation
    Interaction rewiring and the rapid turnover of plant-pollinator networks 2017, 20 (3):385 Ecology Letters
    Journal
    Ecology Letters
    Rights
    © 2017 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
    Whether species interactions are static or change over time has wide-reaching ecological and evolutionary consequences. However, species interaction networks are typically constructed from temporally aggregated interaction data, thereby implicitly assuming that interactions are fixed. This approach has advanced our understanding of communities, but it obscures the timescale at which interactions form (or dissolve) and the drivers and consequences of such dynamics. We address this knowledge gap by quantifying the within-season turnover of plant-pollinator interactions from weekly censuses across 3years in a subalpine ecosystem. Week-to-week turnover of interactions (1) was high, (2) followed a consistent seasonal progression in all years of study and (3) was dominated by interaction rewiring (the reassembly of interactions among species). Simulation models revealed that species' phenologies and relative abundances constrained both total interaction turnover and rewiring. Our findings reveal the diversity of species interactions that may be missed when the temporal dynamics of networks are ignored.
    Note
    12 month embargo; Version of record online:3 February 2017
    ISSN
    1461023X
    PubMed ID
    28156041
    DOI
    10.1111/ele.12740
    Version
    Final accepted manuscript
    Sponsors
    NSF [DGE 11-43953, DBI 12-62713]; Danish National Research Foundation; National Science Foundation Dimensions of Biodiversity grant [NSF-1136703]
    Additional Links
    http://doi.wiley.com/10.1111/ele.12740
    ae974a485f413a2113503eed53cd6c53
    10.1111/ele.12740
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