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dc.contributor.authorHohn, A. A.
dc.contributor.authorThomas, L.
dc.contributor.authorCarmichael, R. H.
dc.contributor.authorLitz, J.
dc.contributor.authorClemons-Chevis, C.
dc.contributor.authorShippee, S. F.
dc.contributor.authorSinclair, C.
dc.contributor.authorSmith, S.
dc.contributor.authorSpeakman, T. R.
dc.contributor.authorTumlin, M. C.
dc.contributor.authorZolman, E. S.
dc.date.accessioned2017-04-05T14:30:13Z
dc.date.available2017-04-05T14:30:13Z
dc.date.issued2017-01-31
dc.identifier.citationHohn , A A , Thomas , L , Carmichael , R H , Litz , J , Clemons-Chevis , C , Shippee , S F , Sinclair , C , Smith , S , Speakman , T R , Tumlin , M C & Zolman , E S 2017 , ' Assigning stranded bottlenose dolphins to source stocks using stable isotope ratios following the Deepwater Horizon oil spill ' , Endangered Species Research , vol. 33 , pp. 235-252 . https://doi.org/10.3354/esr00783en
dc.identifier.issn1863-5407
dc.identifier.otherPURE: 249577624
dc.identifier.otherPURE UUID: 9fd9e914-a08a-4b28-a9f2-b404261796ec
dc.identifier.otherScopus: 85012307671
dc.identifier.otherORCID: /0000-0002-7436-067X/work/31748222
dc.identifier.otherWOS: 000395683200018
dc.identifier.urihttps://hdl.handle.net/10023/10588
dc.description.abstractThe potential for stranded dolphins to serve as a tool for monitoring free-ranging populations would be enhanced if their stocks of origin were known. We used stable isotopes of carbon, nitrogen, and sulfur from skin to assign stranded bottlenose dolphins Tursiops truncatus to different habitats, as a proxy for stocks (demographically independent populations), following the Deepwater Horizon oil spill. Model results from biopsy samples collected from dolphins from known habitats (n = 205) resulted in an 80.5% probability of correct assignment. These results were applied to data from stranded dolphins (n = 217), resulting in predicted assignment probabilities of 0.473, 0.172, and 0.355 to Estuarine, Barrier Island (BI), and Coastal stocks, respectively. Differences were found west and east of the Mississippi River, with more Coastal dolphins stranding in western Louisiana and more Estuarine dolphins stranding in Mississippi. Within the Estuarine East Stock, 2 groups were identified, one predominantly associated with Mississippi and Alabama estuaries and another with western Florida. δ15N values were higher in stranded samples for both Estuarine and BI stocks, potentially indicating nutritional stress. High probabilities of correct assignment of the biopsy samples indicate predictable variation in stable isotopes and fidelity to habitat. The power of δ34S to discriminate habitats relative to salinity was essential. Stable isotopes may provide guidance regarding where additional testing is warranted to confirm demographic independence and aid in determining the source habitat of stranded dolphins, thus increasing the value of biological data collected from stranded individuals.
dc.format.extent18
dc.language.isoeng
dc.relation.ispartofEndangered Species Researchen
dc.rights© The authors and (outside the USA) the US government 2017. Open Access under Creative Commons by Attribution Licence. Use, distribution and reproduction are un restricted. Authors and original publication must be credited.en
dc.subjectCarbonen
dc.subjectGulf of Mexicoen
dc.subjectNitrogenen
dc.subjectStock structureen
dc.subjectSulfuren
dc.subjectTursiops truncatusen
dc.subjectQH301 Biologyen
dc.subjectGC Oceanographyen
dc.subjectEcologyen
dc.subjectNature and Landscape Conservationen
dc.subjectNDASen
dc.subject.lccQH301en
dc.subject.lccGCen
dc.titleAssigning stranded bottlenose dolphins to source stocks using stable isotope ratios following the Deepwater Horizon oil spillen
dc.typeJournal articleen
dc.description.versionPublisher PDFen
dc.contributor.institutionUniversity of St Andrews. Statisticsen
dc.contributor.institutionUniversity of St Andrews. School of Mathematics and Statisticsen
dc.contributor.institutionUniversity of St Andrews. Marine Alliance for Science & Technology Scotlanden
dc.contributor.institutionUniversity of St Andrews. Centre for Research into Ecological & Environmental Modellingen
dc.identifier.doihttps://doi.org/10.3354/esr00783
dc.description.statusPeer revieweden


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