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    Detecting reactivity

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    08-2014.1.pdf (225.3Kb)
    Date
    2009-10
    Author
    Neubert, Michael G.  Concept link
    Caswell, Hal  Concept link
    Solow, Andrew R.  Concept link
    Metadata
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    Citable URI
    https://hdl.handle.net/1912/3028
    As published
    https://doi.org/10.1890/08-2014.1
    DOI
    10.1890/08-2014.1
    Keyword
     Multivariate time series; Resilience; Stability; Transient dynamics 
    Abstract
    By definition, ecological systems at a stable equilibrium eventually return to the equilibrium point following a small perturbation. In the short term, however, perturbations can grow. Equilibria that exhibit transient growth following perturbation are said to be reactive. In this report, we present a statistical method for detecting reactivity from multivariate time series. The test is simple and computationally tractable, and it can be applied to short time series. Its main limitation is that it is based on a model of population dynamics that is linear on a logarithmic scale. Our results suggest that the test is robust when the dynamics are nonlinear on the log scale but that it may incorrectly classify an equilibrium as reactive when the reactivity is close to zero.
    Description
    Author Posting. © Ecological Society of America, 2009. This article is posted here by permission of Ecological Society of America for personal use, not for redistribution. The definitive version was published in Ecology 90 (2009): 2683-2688, doi:10.1890/08-2014.1.
    Collections
    • Biology
    • Marine Policy Center (MPC)
    Suggested Citation
    Ecology 90 (2009): 2683-2688
     
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