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    Niche partitioning due to adaptive foraging reverses effects of nestedness and connectance on pollination network stability

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    Author
    Valdovinos, Fernanda S
    Brosi, Berry J
    Briggs, Heather M
    Moisset de Espanés, Pablo
    Ramos-Jiliberto, Rodrigo
    Martinez, Neo D
    Affiliation
    Univ Arizona, Dept Ecol & Evolut Biol
    Issue Date
    2016-10
    Keywords
    Adaptive behaviour
    community stability
    consumer-resource interactions
    mechanistic models
    mutualistic networks
    population dynamics
    
    Metadata
    Show full item record
    Publisher
    WILEY-BLACKWELL
    Citation
    Niche partitioning due to adaptive foraging reverses effects of nestedness and connectance on pollination network stability. 2016, 19 (10):1277-86 Ecol. Lett.
    Journal
    Ecology letters
    Rights
    © 2016 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
    Much research debates whether properties of ecological networks such as nestedness and connectance stabilise biological communities while ignoring key behavioural aspects of organisms within these networks. Here, we computationally assess how adaptive foraging (AF) behaviour interacts with network architecture to determine the stability of plant-pollinator networks. We find that AF reverses negative effects of nestedness and positive effects of connectance on the stability of the networks by partitioning the niches among species within guilds. This behaviour enables generalist pollinators to preferentially forage on the most specialised of their plant partners which increases the pollination services to specialist plants and cedes the resources of generalist plants to specialist pollinators. We corroborate these behavioural preferences with intensive field observations of bee foraging. Our results show that incorporating key organismal behaviours with well-known biological mechanisms such as consumer-resource interactions into the analysis of ecological networks may greatly improve our understanding of complex ecosystems.
    Note
    Version of Record online: 6 SEP 2016. 12 Month Embargo
    ISSN
    1461-0248
    PubMed ID
    27600659
    DOI
    10.1111/ele.12664
    Version
    Final accepted manuscript
    Sponsors
    University of Arizona; US NSF [ICER-131383, DEB-1241253, DEB-1120572, OIA-0963529, DBI 0821369, DBI 1219635, DBI 1034780, DBI 0420910, DBI 1262713]; Rocky Mountain Biological Laboratory; Emory University; University of California, Santa Cruz; FONDECYT [1150348]; Chilean CONICYT doctoral fellowship
    Additional Links
    http://onlinelibrary.wiley.com/doi/10.1111/ele.12664/abstract
    ae974a485f413a2113503eed53cd6c53
    10.1111/ele.12664
    Scopus Count
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