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dc.contributor.authorFitzpatrick, Matthew C.
dc.contributor.authorPreisser, Evan L.
dc.contributor.authorPorter, Adam
dc.contributor.authorElkinton, Joseph
dc.contributor.authorWaller, Lance A.
dc.contributor.authorCarlin, Bradley P.
dc.contributor.authorEllison, Aaron M.
dc.date.accessioned2011-02-23T16:01:22Z
dc.date.issued2010
dc.identifier.citationFitzpatrick, Matthew C., Evan L. Preisser, Adam Porter, Joseph Elkinton, Lance A. Waller, Bradley P. Carlin, and Aaron M. Ellison. Ecological boundary detection using Bayesian areal wombling. Ecology 91(12): 3448-3455.en_US
dc.identifier.issn0012-9658en_US
dc.identifier.urihttp://nrs.harvard.edu/urn-3:HUL.InstRepos:4729751
dc.description.abstractThe study of ecological boundaries and their dynamics is of fundamental importance to much of ecology, biogeography, and evolution. Over the past two decades, boundary analysis (of which wombling is a subfield) has received considerable research attention, resulting in multiple approaches for the quantification of ecological boundaries. Nonetheless, few methods have been developed that can simultaneously (1) analyze spatially homogenized data sets (i.e., areal data in the form of polygons rather than point-reference data); (2) account for spatial structure in these data and uncertainty associated with them; and (3) objectively assign probabilities to boundaries once detected. Here we describe the application of a Bayesian hierarchical framework for boundary detection developed in public health, which addresses these issues but which has seen limited application in ecology. As examples, we analyze simulated spread data and the historic pattern of spread of an invasive species, the hemlock woolly adelgid (Adelges tsugae), using county-level summaries of the year of first reported infestation and several covariates potentially important to influencing the observed spread dynamics. Bayesian areal wombling is a promising approach for analyzing ecological boundaries and dynamics related to changes in the distributions of native and invasive species.en_US
dc.description.sponsorshipOther Research Uniten_US
dc.language.isoen_USen_US
dc.publisherEcological Society of Americaen_US
dc.relation.isversionofdoi:10.1890/10-0807.1en_US
dash.licenseOAP
dc.subjectboundary analysisen_US
dc.subjectecotonesen_US
dc.subjectedge detectionen_US
dc.subjectinvasive speciesen_US
dc.subjectspatial statisticsen_US
dc.titleEcological Boundary Detection Using Bayesian Areal Womblingen_US
dc.typeJournal Articleen_US
dc.description.versionAccepted Manuscripten_US
dc.relation.journalEcologyen_US
dash.depositing.authorEllison, Aaron M.
dc.date.available2011-02-23T16:01:22Z
dc.identifier.doi10.1890/10-0807.1*
dash.contributor.affiliatedEllison, Aaron
dc.identifier.orcid0000-0003-4151-6081


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