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    Contributions to nonstationary community theory

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    Author
    Chesson, Peter
    Affiliation
    Univ Arizona, Dept Ecol & Evolutionary Biol
    Issue Date
    2018-09-30
    Keywords
    Beverton-Holt model
    Nonstationary process
    climate change
    lottery model
    threshold exponential model
    
    Metadata
    Show full item record
    Publisher
    TAYLOR & FRANCIS LTD
    Citation
    Chesson, P. (2019). Contributions to nonstationary community theory. Journal of biological dynamics, 13(sup1), 123-150.
    Journal
    JOURNAL OF BIOLOGICAL DYNAMICS
    Rights
    Copyright © 2018 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
    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
    The study of the role of environmental variation in community dynamics has traditionally assumed that the environment is a stationary stochastic process or a periodic deterministic process. However, the physical environment in nature is nonstationary. Moreover, anthropogenically driven climate change provides a new challenge emphasizing a persistent but frequently ignored problem: how to make predictions about the dynamics of communities when the nonstationarity of the physical environment is recognized. Recent work is providing a path to conclusions with none of the traditional assumptions of environmental stationarity or periodicity. Traditional assumptions about convergence of long-term averages of functions of environmental states can be replaced by assumptions about temporal sums, allowing convergence and persistence of population processes to be demonstrated in general nonstationary environments. These tools are further developed and illustrated here with some simple models of nonstationary community dynamics, including the Beverton-Holt model, the threshold exponential and the lottery model.
    Note
    Open access journal
    ISSN
    1751-3758
    PubMed ID
    30270753
    DOI
    10.1080/17513758.2018.1526977
    Version
    Final published version
    Sponsors
    National Science Foundation (NSF) [DEB-1119784]
    ae974a485f413a2113503eed53cd6c53
    10.1080/17513758.2018.1526977
    Scopus Count
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    UA Faculty Publications

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