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    A Bayesian state-space model for seasonal growth of terrestrial vertebrates

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    Name:
    ZylstraSteidl_SeasonalGrowth_M ...
    Embargo:
    2022-02-12
    Size:
    885.7Kb
    Format:
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    Description:
    Final Accepted Manuscript
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    Author
    Zylstra, Erin R.
    Steidl, Robert J.
    Affiliation
    Univ Arizona, Sch Nat Resources & Environm
    Issue Date
    2020-03-15
    Keywords
    Bayesian hierarchical model
    Capture-recapture
    Canyon treefrog
    Hyla arenicolor
    Somatic growth
    von Bertalanffy
    
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    Citation
    Zylstra, E. R., & Steidl, R. J. (2020). A Bayesian state-space model for seasonal growth of terrestrial vertebrates. Ecological Modelling, 420, 108975. https://doi.org/10.1016/j.ecolmodel.2020.108975
    Journal
    ECOLOGICAL MODELLING
    Rights
    © 2020 Elsevier B.V. All rights reserved.
    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 rate of somatic growth determines when individuals transition between life stages, which along with survival and reproduction, are principal factors governing the rate of population change. For short-lived species that inhabit seasonally dynamic environments, accounting for fluctuations in somatic growth is necessary to make reliable inferences about population dynamics. We describe a Bayesian, state-space formulation of a von Bertalanffy growth model that integrates a sinusoidal model to allow for seasonal fluctuations in growth while also accounting for individual heterogeneity and measurement error. We use this model to describe post-metamorphic growth of canyon treefrogs, Hyla arenicolor, based on capture-recapture data from 404 individuals over a two-year period. For simulated data where we assumed growth varies seasonally, our model provides unbiased estimates of growth rate, mean asymptotic length, standard deviation of individual asymptotic lengths, and date of maximum growth. For field data from canyon treefrogs, we found strong evidence of seasonal variation in growth, with maximum growth during the summer monsoon season. Growth rate of females was 19 % lower than males, although on average, females reached asymptotic lengths that were 15 % greater than males. Ignoring systematic Intra-annual variation in growth can bias inferences about population dynamics, particularly for fast-growing species that reproduce more than once per year or inhabit environments with strong seasonal signals. We present a straightforward approach for using repeated length measurements from individuals of unknown age to estimate growth while accounting for seasonality and individual heterogeneity, which are sources of variation common in many vertebrate populations.
    Note
    24 month embargo; published online: 12 February 2020
    ISSN
    0304-3800
    DOI
    10.1016/j.ecolmodel.2020.108975
    Version
    Final accepted manuscript
    ae974a485f413a2113503eed53cd6c53
    10.1016/j.ecolmodel.2020.108975
    Scopus Count
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    UA Faculty Publications

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