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dc.contributor.advisor Halpin, Patrick N en_US
dc.contributor.author Schick, Robert Schilling en_US
dc.date.accessioned 2009-05-01T18:23:02Z
dc.date.available 2011-07-26T04:30:04Z
dc.date.issued 2009 en_US
dc.identifier.uri http://hdl.handle.net/10161/1089
dc.description Dissertation en_US
dc.description.abstract <p>Infusing models for animal movement with more behavioral realism has been a goal of movement ecologists for several years. As ecologists have begun to collect more and more data on animal distribution and abundance, a clear need has arisen for more sophisticated analysis. Such analysis could include more realistic movement behavior, more information on the organism-environment interaction, and more ways to separate observation error from process error. Because landscape ecologists and behavioral ecologists typically study these same themes at very different scales, it has been proposed that their union could be productive for all (Lima and Zollner, 1996). </p><p>By understanding how animals interact with their land- and seascapes, we can better understand how species partition up resources are large spatial scales. Accordingly I begin this dissertation with a large spatial scale analysis of distribution data for marine mammals from Nova Scotia through the Gulf of Mexico. I analyzed these data in three separate regions, and in the two data-rich regions, find compelling separation between the different communities. In the northernmost region, this separation is broadly along diet based partitions. This research provides a baseline for future study of marine mammal systems, and more importantly highlights several gaps in current data collections.</p><p>In the last 6 years several movement ecologists have begun to imbue sophisticated statistical analyses with increasing amounts of movement behavior. This has changed the way movement ecologists think about movement data and movement processes. In this dissertation I focus my research on continuing this trend. I reviewed the state of movement modeling and then proposed a new Bayesian movement model that builds on three questions of: behavior; organism-environment interaction; and process-based inference with noisy data.</p><p>Application of this model to two different datasets, migrating right whales in the NW Atlantic, and foraging monk seals in the Northwest Hawaiian Islands, provides for the first time estimates of how moving animals make choices about the suitability of patches within their perceptual range. By estimating parameters governing this suitability I provide right whale managers a clear depiction of the gaps in their protection in this vulnerable and understudied migratory corridor. For monk seals I provide a behaviorally based view into how animals in different colonies and age and sex groups move throughout their range. This information is crucial for managers who translocate individuals to new habitat as it provides them a quantitative glimpse of how members of certain groups perceive their landscape.</p><p>This model provides critical information about the behaviorally based movement choices animals make. Results can be used to understand the ecology of these patterns, and can be used to help inform conservation actions. Finally this modeling framework provides a way to unite fields of movement ecology and graph theory.</p> en_US
dc.format.extent 20900501 bytes
dc.format.mimetype application/pdf
dc.language.iso en_US
dc.subject Biology, Ecology en_US
dc.subject Animal Movement en_US
dc.subject Conservation en_US
dc.subject Hierarchical Bayes en_US
dc.subject Monk Seals en_US
dc.subject Ordination en_US
dc.subject Right Whales en_US
dc.title Animal Movement in Pelagic Ecosystems: from Communities to Individuals en_US
dc.type Dissertation en_US
dc.department Ecology en_US
duke.embargo.months 24 en_US

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