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dc.contributor.authorSchwacke, Lori H.
dc.contributor.authorThomas, Len
dc.contributor.authorWells, Randall S.
dc.contributor.authorMcFee, Wayne E.
dc.contributor.authorHohn, Aleta A.
dc.contributor.authorMullin, Keith D.
dc.contributor.authorZolman, Eric S.
dc.contributor.authorQuigley, Brian M.
dc.contributor.authorRowles, Teri K.
dc.contributor.authorSchwacke, John H.
dc.date.accessioned2017-04-05T14:30:11Z
dc.date.available2017-04-05T14:30:11Z
dc.date.issued2017-01-31
dc.identifier.citationSchwacke , L H , Thomas , L , Wells , R S , McFee , W E , Hohn , A A , Mullin , K D , Zolman , E S , Quigley , B M , Rowles , T K & Schwacke , J H 2017 , ' Quantifying injury to common bottlenose dolphins from the Deepwater Horizon oil spill using an age-, sex- and class-structured population model ' , Endangered Species Research , vol. 33 , pp. 265-279 . https://doi.org/10.3354/esr00777en
dc.identifier.issn1863-5407
dc.identifier.otherPURE: 249577465
dc.identifier.otherPURE UUID: 039f584f-511b-483d-b8e6-67b2d6294642
dc.identifier.otherScopus: 85012279004
dc.identifier.otherORCID: /0000-0002-7436-067X/work/31748221
dc.identifier.otherWOS: 000395683200020
dc.identifier.urihttps://hdl.handle.net/10023/10587
dc.description.abstractField studies documented increased mortality, adverse health effects, and reproductive failure in common bottlenose dolphins Tursiops truncatus following the Deepwater Horizon (DWH) oil spill. In order to determine the appropriate type and amount of restoration needed to compensate for losses, the overall extent of injuries to dolphins had to be quantified. Simply counting dead individuals does not consider long-term impacts to populations, such as the loss of future reproductive potential from mortality of females, or the chronic health effects that continue to compromise survival long after acute effects subside. Therefore, we constructed a sex- and agestructured model of population growth and included additional class structure to represent dolphins exposed and unexposed to DWH oil. The model was applied for multiple stocks to predict injured population trajectories using estimates of post-spill survival and reproductive rates. Injured trajectories were compared to baseline trajectories that were expected had the DWH incident not occurred. Two principal measures of injury were computed: (1) lost cetacean years (LCY); the difference between baseline and injured population size, summed over the modeled time period, and (2) time to recovery; the number of years for the stock to recover to within 95% of baseline. For the dolphin stock in Barataria Bay, Louisiana, the estimated LCY was substantial: 30 347 LCY (95% CI: 11 511 to 89 746). Estimated time to recovery was 39 yr (95% CI: 24 to 80). Similar recovery timelines were predicted for stocks in the Mississippi River Delta, Mississippi Sound, Mobile Bay and the Northern Coastal Stock.
dc.format.extent15
dc.language.isoeng
dc.relation.ispartofEndangered Species Researchen
dc.rights© L. Thomas, R. S. Wells and (outside the USA) the US Government 2017. Open Access under Creative Commons by Attribution Licence. Use, distribution and reproduction are unrestricted. Authors and original publication must be credited.en
dc.subjectBayesian modelen
dc.subjectCetaceanen
dc.subjectDeepwater Horizonen
dc.subjectDensity dependenceen
dc.subjectImpact assessmenten
dc.subjectMonte Carlo analysisen
dc.subjectPopulation modelen
dc.subjectSurvivalen
dc.subjectQH301 Biologyen
dc.subjectGC Oceanographyen
dc.subjectEcologyen
dc.subjectNature and Landscape Conservationen
dc.subjectNDASen
dc.subject.lccQH301en
dc.subject.lccGCen
dc.titleQuantifying injury to common bottlenose dolphins from the Deepwater Horizon oil spill using an age-, sex- and class-structured population modelen
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/esr00777
dc.description.statusPeer revieweden


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