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Activity Number:
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326
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Type:
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Topic Contributed
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Date/Time:
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Tuesday, July 31, 2007 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Bayesian Statistical Science
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| Abstract - #309466 |
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Title:
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A Hierarchical Bayesian Model for Stochastic Metapopulation Viability in the Presence of Translocation
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Author(s):
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Christopher K. Wikle*+ and Sammuel F. Bussman and Robert L. Schooley
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Companies:
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University of Missouri-Columbia and University of Missouri-Columbia and University of Illinois
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Address:
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146 Middlebush, Columbia, MO, 65211,
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Keywords:
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ecology ; metapopulation ; translocation ; population viability
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Abstract:
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Active management of a population through translocation of individuals from a thriving subpopulation to less healthy subpopulations has proven to be a successful approach for improving metapopulation viability. However, surprisingly little empirical work has been done in which metapopulation viability models accounting for translocation have been considered in the presence of uncertainty. We consider such a model in the Bayesian hierarchical paradigm. The model is applied to the endangered red-cockaded woodpecker, using data from military lands in the U.S. Southeast.
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