Redundancy analysis reveals complex den use patterns by eastern spotted skunks, a conditional specialist

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dc.contributor.authorThorne, Emily D.en
dc.contributor.authorFord, W. Marken
dc.date.accessioned2022-05-04T12:32:35Zen
dc.date.available2022-05-04T12:32:35Zen
dc.date.issued2022-01en
dc.description.abstractWildlife managers tasked with understanding habitat and resource selection at the population level attempt to characterize patterns in nature that aid and inform conservation. Resource selection functions (RSFs), such as discrete choice analyses, are the standard convention to characterize the effects of habitat attributes on resource selection patterns. These tools are invaluable for wildlife management and conservation and have proven successful in numerous studies. However, the analysis of small datasets using RSF becomes problematic when attempting to account for complex sources of variation, and the inclusion of factors such as weather or intrinsic variation on target species' response may produce models with poor predictive ability. We compared the application of generalized linear mixed-effects modeling (GLMM) and redundancy analysis (RDA) on Appalachian spotted skunk (Spilogale putorius putorius) den selection data at four study sites within the George Washington, Jefferson, and Monongahela National Forests, and surrounding private lands in the Appalachian Mountains of western Virginia and northeastern West Virginia. We assessed the need for the inclusion of alternative sources of variation (i.e., weather conditions and individual intrinsic variation) in addition to standard habitat attributes to better identify sources of variation in den selection. The RDA elucidated complex and opposing relationships, whereby den type use was based on reproductive status or weather condition, which were not evident in the GLMM model that relied solely on habitat measures. Our results demonstrated the importance of examining resource selection data using multivariate techniques in addition to conventional discrete choice analyses to better understand intricate habitat-species relationships, especially for small datasets. Furthermore, from our analyses, we proposed that spotted skunks are neither a true generalist nor specialist species. We introduced and define the term "conditional specialist" to represent a species that is conditionally selective of a given resource in response to one or more current environmental or intrinsic conditions.en
dc.description.notesVirginia Department of Wildlife Resources, Grant/Award Number: 2013-14307en
dc.description.sponsorshipVirginia Department of Wildlife Resources [2013-14307]en
dc.description.versionPublished versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.1002/ecs2.3913en
dc.identifier.issn2150-8925en
dc.identifier.issue1en
dc.identifier.othere3913en
dc.identifier.urihttp://hdl.handle.net/10919/109801en
dc.identifier.volume13en
dc.language.isoenen
dc.publisherWileyen
dc.rightsCreative Commons Attribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectAppalachian Mountainsen
dc.subjectconditional specialisten
dc.subjectden useen
dc.subjectdiscrete choiceen
dc.subjecteastern spotted skunken
dc.subjecthabitat selectionen
dc.subjectintrinsic variationen
dc.subjectredundancy analysisen
dc.subjectSpilogale putoriusen
dc.titleRedundancy analysis reveals complex den use patterns by eastern spotted skunks, a conditional specialisten
dc.title.serialEcosphereen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten

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