Bayesian joint models with INLA exploring marine mobile predator-prey and competitor species habitat overlap.
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ABSTRACT: Understanding spatial physical habitat selection driven by competition and/or predator-prey interactions of mobile marine species is a fundamental goal of spatial ecology. However, spatial counts or density data for highly mobile animals often (1) include excess zeros, (2) have spatial correlation, and (3) have highly nonlinear relationships with physical habitat variables, which results in the need for complex joint spatial models. In this paper, we test the use of Bayesian hierarchical hurdle and zero-inflated joint models with integrated nested Laplace approximation (INLA), to fit complex joint models to spatial patterns of eight mobile marine species (grey seal, harbor seal, harbor porpoise, common guillemot, black-legged kittiwake, northern gannet, herring, and sandeels). For each joi
SUBMITTER: Sadykova D
PROVIDER: S-EPMC5528225 | biostudies-literature | 2017 Jul
REPOSITORIES: biostudies-literature
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