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dc.contributor.authorAshe, Erin
dc.contributor.authorWilliams, Rob
dc.contributor.authorClark, Christopher
dc.contributor.authorErbe, Christine
dc.contributor.authorGerber, Leah R.
dc.contributor.authorHall, Ailsa J.
dc.contributor.authorHammond, Philip S.
dc.contributor.authorLacy, Robert C.
dc.contributor.authorReeves, Randall
dc.contributor.authorVollmer, Nicole L.
dc.identifier.citationAshe , E , Williams , R , Clark , C , Erbe , C , Gerber , L R , Hall , A J , Hammond , P S , Lacy , R C , Reeves , R & Vollmer , N L 2021 , ' Minding the data-gap trap : exploring dynamics of abundant dolphin populations under uncertainty ' , Frontiers in Marine Science , vol. 8 , 606932 .
dc.identifier.otherPURE: 273294491
dc.identifier.otherPURE UUID: 2e8feced-9b62-4951-b1e4-b9041158bb28
dc.identifier.otherJisc: 1db648bf22864caca6489c9608a8233a
dc.identifier.otherORCID: /0000-0002-2381-8302/work/90567099
dc.identifier.otherORCID: /0000-0002-7562-1771/work/90567274
dc.identifier.otherWOS: 000625200600001
dc.identifier.otherScopus: 85102105215
dc.descriptionThis work was supported by Save Our Coast, Sitka Foundation, and McLean Foundation.en
dc.description.abstractPreventing declines in common species is key to sustaining the structure and function of marine ecosystems. Yet for many common marine mammals, including oceanic dolphins, statistical power to detect declines remains low due to patchy distribution and large variability in group sizes. In this study, population viability analyses (PVA) were used to model the dynamics of four oceanic dolphin populations off the United States West Coast: eastern North Pacific long-beaked common dolphins (Delphinus delphis capensis), short-beaked common dolphins (D. delphis delphis), Pacific white-sided dolphins (Lagenorhynchus obliquidens), and “offshore” common bottlenose dolphins (Tursiops truncatus). We calibrated the PVA with life-history tables, studies on proxy species, and stock assessment reports. We explored the sensitivity of populations to demographic variation and projected how they may respond to changes in three sublethal threats (prey limitation, ocean noise, and chemical pollution) and one lethal threat (fisheries bycatch). We found the most serious projected declines in long-beaked common dolphins, which showed the lowest birth rate. Most threat scenarios resulted in declines that would not be detected by existing monitoring programs in the United States, which are among the most data-rich surveys of their kind. The cumulative effects of the three sublethal stressors exceeded the effect of the one lethal stressor (fisheries bycatch). To implement pro-active management and monitoring programs, anticipating which cetaceans are more at risk and which anthropogenic threats could cause declines is paramount. Our study highlights the value of model testing with PVA when monitoring data are poor, thereby identifying priorities for future research, monitoring, and management.
dc.relation.ispartofFrontiers in Marine Scienceen
dc.rightsCopyright © 2021 Ashe, Williams, Clark, Erbe, Gerber, Hall, Hammond, Lacy, Reeves and Vollmer. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.en
dc.subjectMarine Scienceen
dc.subjectData deficienten
dc.subjectPopulation viability analysisen
dc.subjectAnthropogenic threatsen
dc.subjectQH301 Biologyen
dc.subjectGC Oceanographyen
dc.subjectSH Aquaculture. Fisheries. Anglingen
dc.subjectSDG 12 - Responsible Consumption and Productionen
dc.subjectSDG 14 - Life Below Wateren
dc.titleMinding the data-gap trap : exploring dynamics of abundant dolphin populations under uncertaintyen
dc.typeJournal articleen
dc.description.versionPublisher PDFen
dc.contributor.institutionUniversity of St Andrews. Arctic Research Centreen
dc.contributor.institutionUniversity of St Andrews. School of Biologyen
dc.contributor.institutionUniversity of St Andrews. Sea Mammal Research Uniten
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. Marine Alliance for Science & Technology Scotlanden
dc.description.statusPeer revieweden

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