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A Dynamic Occupancy Model for Multiple Species in Serengeti National Park

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Occupancy models for different species have been used by researchers to estimatespecies’ migratory trends and to understand how the environmental and human fac-tors are affecting it. Developed from the original single species occupancy model [34],recent approaches attempt to consider multiple interacting species. However, mostof these approaches ignore the dynamicity of the migratory process. Recently devel-oped research methods about accounting for dynamicity into occupancy models aremainly divided into two directions: The first use a Bayesian hierarchical model and acentered auto-logistic regression model [23] to add in temporal dependence, and thesecond builds a probabilistic model about occupancy status within time adjacency[7]. This thesis outlines a framework to study how cross-species influences vary withrespect to environmental elements and makes some improvement based on the exist-ing methods of Rota et al. [42]. We employ the multivariate Bernoulli distribution[11] to allow the species correlations to vary over spatial and temporal scales, andwe considered dynamicity by breaking the occupancy probability into disjoint migra-tory processes. This paper employs reversible jump Markov chain Monte Carlo [19]to implement model selection. We apply our model to three pairs of herbivores anduse WAIC (Watanabe-Akaike Information Criterion) [59] to compare the estimationresults with the multiple species model without considering within or cross speciesdependence and single species occupancy models.
Dynamic Occupancy Model
Multivariate Bernoulli Distribution
Reversible Jump MCMC algorithm
Watanabe-Akaike Information Criterion
Zhang, Xinyu (author)
Hepler, Ph.D., Staci A (committee chair)
Erhardt, Ph.D., Robert J (committee member)
Moore, Ph.D., William F (committee member)
2020-05-29T08:36:07Z (accessioned)
2021-05-28T08:30:11Z (available)
2020 (issued)
Mathematics and Statistics (discipline)
2021-05-28 (terms)
http://hdl.handle.net/10339/96843 (uri)
en (iso)
Wake Forest University
A Dynamic Occupancy Model for Multiple Species in Serengeti National Park

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