• Login
    View Item 
    •   Shocker Open Access Repository Home
    • Fairmount College of Liberal Arts and Sciences
    • Biological Sciences
    • BIO Faculty Scholarship
    • BIO Faculty Publications
    • View Item
    •   Shocker Open Access Repository Home
    • Fairmount College of Liberal Arts and Sciences
    • Biological Sciences
    • BIO Faculty Scholarship
    • BIO Faculty Publications
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    A framework for quantifying the magnitude and variability of community responses to global change drivers

    View/Open
    Avolio_2016.pdf (1.466Mb)
    Date
    2015-12-21
    Author
    Avolio, Meghan L.
    La Pierre, Kimberly J.
    Houseman, Gregory R.
    Koerner, Sally E.
    Grman, Emily
    Isbell, Forest
    Johnson, David Samuel
    Wilcox, Kevin R.
    Metadata
    Show full item record
    Citation
    Avolio, Meghan L.; La Pierre, Kimberly J.; Houseman, Gregory R.; Koerner, Sally E.; Grman, Emily; Isbell, Forest; Johnson, David Samuel; Wilcox, Kevin R. 2015. A framework for quantifying the magnitude and variability of community responses to global change drivers. Ecosphere, vol. 6:no. 12:pp 1–14
    Abstract
    A major challenge in global change ecology is to predict the trajectory and magnitude of community change in response to global change drivers (GCDs). Here, we present a new framework that not only increases the predictive power of individual studies, but also allows for synthesis across GCD studies and ecosystems. First, we suggest that by quantifying community dissimilarity of replicates both among and within treatments, we can infer both the magnitude and predictability of community change, respectively. Second, we demonstrate the utility of integrating rank abundance curves with measures of community dissimilarity to understand the species-level dynamics driving community changes and propose a series of testable hypotheses linking changes in rank abundance curves with shifts in community dissimilarity. Finally, we review six case studies that demonstrate how our new conceptual framework can be applied. Overall, we present a new framework for holistically predicting community responses to GCDs that has broad applicability in this era of unprecedented global change and novel environmental conditions.
    Description
    This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
    URI
    http://dx.doi.org/10.1890/ES15-00317.1
    http://hdl.handle.net/10057/11730
    Collections
    • BIO Faculty Publications

    Browse

    All of Shocker Open Access RepositoryCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsBy TypeThis CollectionBy Issue DateAuthorsTitlesSubjectsBy Type

    My Account

    LoginRegister

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    DSpace software copyright © 2002-2023  DuraSpace
    DSpace Express is a service operated by 
    Atmire NV