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dc.contributor.authorMarques, Tiago A.
dc.contributor.authorThomas, Len
dc.contributor.authorBooth, Cormac G.
dc.contributor.authorGarrison, Lance P.
dc.contributor.authorRosel, Patricia E.
dc.contributor.authorTakeshita, Ryan
dc.contributor.authorMullin, Keith D.
dc.contributor.authorSchwacke, Lori
dc.date.accessioned2023-07-24T09:30:18Z
dc.date.available2023-07-24T09:30:18Z
dc.date.issued2023-07-13
dc.identifier291054934
dc.identifiera1608ac6-ec27-47ed-8815-936de96770f5
dc.identifier85165490846
dc.identifier.citationMarques , T A , Thomas , L , Booth , C G , Garrison , L P , Rosel , P E , Takeshita , R , Mullin , K D & Schwacke , L 2023 , ' Population consequences of the Deepwater Horizon oil spill on pelagic cetaceans ' , Marine Ecology Progress Series , vol. 714 . https://doi.org/10.3354/meps14323en
dc.identifier.issn0171-8630
dc.identifier.othercrossref: 10.3354/meps14323
dc.identifier.otherORCID: /0000-0002-7436-067X/work/139552645
dc.identifier.otherORCID: /0000-0002-2581-1972/work/139553968
dc.identifier.urihttps://hdl.handle.net/10023/28006
dc.descriptionFunding: This research was made possible by a grant from the Gulf of Mexico Research Initiative to the Consortium for Advanced Research on Marine Mammal Health Assessment (CARMMHA). T.A.M. acknowledges partial support by CEAUL (funded by FCT−Fundação para a Ciência e a Tecnologia, Portugal, through project UIDB/00006/2020).en
dc.description.abstractThe Deepwater Horizon disaster resulted in the release of 490000 m3 of oil into the northern Gulf of Mexico. We quantified population consequences for pelagic cetaceans, including sperm whales, beaked whales and 11 species of delphinids. We used existing spatial density models to establish pre-spill population size and distribution, and overlaid an oil footprint to estimate the proportion exposed to oil. This proportion ranged from 0.058 (Atlantic spotted dolphin, 95% CI = 0.041-0.078) to 0.377 (spinner dolphin, 95% CI = 0.217-0.555). We adapted a population dynamics model, developed for an estuarine population of bottlenose dolphins, to each pelagic species by scaling demographic parameters using literature-derived estimates of gestation duration. We used expert elicitation to translate knowledge from dedicated studies of oil effects on bottlenose dolphins to pelagic species and address how density dependence may affect reproduction. We quantified impact by comparing population trajectories under baseline and oil-impacted scenarios. The number of lost cetacean years (difference between trajectories, summed over years) ranged from 964 (short-finned pilot whale, 95% CI = 385-2291) to 32584 (oceanic bottlenose dolphin, 95% = CI 13377-71967). Maximum proportional population decrease ranged from 1.3% (Atlantic spotted dolphin 95% CI = 0.5-2.3) to 8.4% (spinner dolphin 95% CI = 3.2-17.7). Estimated time to recover to 95% of baseline was >10 yr for spinner dolphin (12 yr, 95% CI = 0-21) and sperm whale (11 yr, 95% CI = 0-21), while 7 taxonomic units remained within 95% of the baseline population size (time to recover, therefore, as per its definition, was 0). We investigated the sensitivity of results to alternative plausible inputs. Our methods are widely applicable for estimating population effects of stressors in the absence of direct measurements.
dc.format.extent14
dc.format.extent4516735
dc.language.isoeng
dc.relation.ispartofMarine Ecology Progress Seriesen
dc.subjectEnvironmental impact assessmenten
dc.subjectFecundityen
dc.subjectGulf of Mexicoen
dc.subjectInjury quantificationen
dc.subjectMarine mammalsen
dc.subjectNatural resource damage assessmenten
dc.subjectPopulation dynamics modelen
dc.subjectSurvivalen
dc.subjectQH301 Biologyen
dc.subjectDASen
dc.subjectSDG 14 - Life Below Wateren
dc.subjectMCCen
dc.subject.lccQH301en
dc.titlePopulation consequences of the Deepwater Horizon oil spill on pelagic cetaceansen
dc.typeJournal articleen
dc.contributor.institutionUniversity of St Andrews. Scottish Oceans Instituteen
dc.contributor.institutionUniversity of St Andrews. Centre for Research into Ecological & Environmental Modellingen
dc.contributor.institutionUniversity of St Andrews. School of Mathematics and Statisticsen
dc.contributor.institutionUniversity of St Andrews. Statisticsen
dc.contributor.institutionUniversity of St Andrews. Marine Alliance for Science & Technology Scotlanden
dc.contributor.institutionUniversity of St Andrews. SMRU Consultingen
dc.identifier.doi10.3354/meps14323
dc.description.statusPeer revieweden


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