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dc.contributor.authorThomas, L.
dc.contributor.authorBooth, C. G.
dc.contributor.authorRosel, P. E.
dc.contributor.authorHohn, A.
dc.contributor.authorLitz, J.
dc.contributor.authorSchwacke, L. H.
dc.date.accessioned2017-04-05T13:30:11Z
dc.date.available2017-04-05T13:30:11Z
dc.date.issued2017-01-31
dc.identifier249577294
dc.identifier39e85294-6072-449d-8c16-4132d92c7935
dc.identifier85012289088
dc.identifier000395683200019
dc.identifier.citationThomas , L , Booth , C G , Rosel , P E , Hohn , A , Litz , J & Schwacke , L H 2017 , ' Where were they from? Modelling the source stock of dolphins stranded after the Deepwater Horizon oil spill using genetic and stable isotope data ' , Endangered Species Research , vol. 33 , no. 1 , pp. 253-264 . https://doi.org/10.3354/esr00754en
dc.identifier.issn1863-5407
dc.identifier.otherORCID: /0000-0002-7436-067X/work/31748219
dc.identifier.urihttps://hdl.handle.net/10023/10586
dc.description.abstractUnderstanding the source stock of common bottlenose dolphins Tursiops truncatus that stranded in the northern Gulf of Mexico subsequent to the Deepwater Horizon oil spill was essential to accurately quantify injury and apportion individuals to the appropriate stock. The aim of this study, part of the Natural Resource Damage Assessment (NRDA), was to estimate the proportion of the 932 recorded strandings between May 2010 and June 2014 that came from coastal versus bay, sound and estuary (BSE) stocks. Four sources of relevant information were available on overlapping subsets totaling 336 (39%) of the strandings: genetic stock assignment, stable isotope ratios, photo-ID and individual genetic-ID. We developed a hierarchical Bayesian model for combining these sources that weighted each data source for each stranding according to a measure of estimated precision: the effective sample size (ESS). The photo- and genetic-ID data were limited and considered to potentially introduce biases, so these data sources were excluded from analyses used in the NRDA. Estimates were calculated separately in 3 regions: East (of the Mississippi outflow), West (of the Mississippi outflow through Vermilion Bay, Louisiana) and Western Louisiana (west of Vermilion Bay to the Texas-Louisiana border); the estimated proportions of coastal strandings were, respectively 0.215 (95% CI: 0.169-0.263), 0.016 (0.036-0.099) and 0.622 (0.487-0.803). This method represents a general approach for integrating multiple sources of information that have differing uncertainties.
dc.format.extent12
dc.format.extent1143998
dc.language.isoeng
dc.relation.ispartofEndangered Species Researchen
dc.subjectBayesian hierarchical modelen
dc.subjectData integrationen
dc.subjectDeepwater Horizonen
dc.subjectGenetic assignmenten
dc.subjectStable isotope ratiosen
dc.subjectStrandingen
dc.subjectQH301 Biologyen
dc.subjectEcologyen
dc.subjectNature and Landscape Conservationen
dc.subjectNDASen
dc.subject.lccQH301en
dc.titleWhere were they from? Modelling the source stock of dolphins stranded after the Deepwater Horizon oil spill using genetic and stable isotope dataen
dc.typeJournal articleen
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.contributor.institutionUniversity of St Andrews. SMRU Consultingen
dc.identifier.doi10.3354/esr00754
dc.description.statusPeer revieweden


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