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dc.contributor.authorPirotta, Enrico
dc.contributor.authorSchick, Robert
dc.contributor.authorHamilton, Philip
dc.contributor.authorHarris, Catriona M
dc.contributor.authorHewitt, Joshua
dc.contributor.authorKnowlton, Amy Richardson
dc.contributor.authorKraus, Scott
dc.contributor.authorMeyer-Gutbrod, Erin
dc.contributor.authorMoore, Michael J.
dc.contributor.authorPettis, Heather
dc.contributor.authorPhotopoulou, Theoni
dc.contributor.authorRolland, Rosalind
dc.contributor.authorTyack, Peter Lloyd
dc.contributor.authorThomas, Len
dc.identifier.citationPirotta , E , Schick , R , Hamilton , P , Harris , C M , Hewitt , J , Knowlton , A R , Kraus , S , Meyer-Gutbrod , E , Moore , M J , Pettis , H , Photopoulou , T , Rolland , R , Tyack , P L & Thomas , L 2023 , ' Estimating the effects of stressors on the health, survival and reproduction of a critically endangered, long-lived species ' , Oikos , vol. 2023 , no. 5 , e09801 .
dc.identifier.otherORCID: /0000-0002-8409-4790/work/128567903
dc.identifier.otherORCID: /0000-0003-3541-3676/work/128567911
dc.identifier.otherORCID: /0000-0001-9616-9940/work/128567996
dc.identifier.otherORCID: /0000-0002-7436-067X/work/128568015
dc.identifier.otherORCID: /0000-0001-9198-2414/work/128568248
dc.descriptionFunding: Office of Naval Research (Grant Number(s): N000142012697, N000142112096); Strategic Environmental Research and Development Program (Grant Number(s): RC20-1097, RC20-7188, RC21-3091).en
dc.description.abstractQuantifying the cumulative effects of stressors on individuals and populations can inform the development of effective management and conservation strategies. We developed a Bayesian state–space model to assess the effects of multiple stressors on individual survival and reproduction. In the model, stressor effects on vital rates are mediated by changes in underlying health, allowing for the comparison of effect sizes while accounting for intrinsic factors that might affect an individual's vulnerability and resilience. We applied the model to a 50-year dataset of sightings, calving events and stressor exposure of critically endangered North Atlantic right whales Eubalaena glacialis. The viability of this population is threatened by a complex set of stressors, including vessel strikes, entanglement in fishing gear and fluctuating prey availability. We estimated that blunt and deep vessel strike injuries and severe entanglement injuries had the largest effect on the health of exposed individuals, reinforcing the urgent need for mitigation measures. Prey abundance had a smaller but protracted effect on health across individuals, and estimated long-term trends in survival and reproduction followed the trend of the prey index, highlighting that long-term ecosystem-based management strategies are also required. Our approach can be applied to quantify the effects of multiple stressors on any long-lived species where suitable indicators of health and long-term monitoring data are available.
dc.subjectCumulative effectsen
dc.subjectMultiple stressorsen
dc.subjectNorth Atlantic right whaleen
dc.subjectPopulation consequencesen
dc.subjectState space modellingen
dc.subjectQL Zoologyen
dc.subjectEcology, Evolution, Behavior and Systematicsen
dc.titleEstimating the effects of stressors on the health, survival and reproduction of a critically endangered, long-lived speciesen
dc.typeJournal articleen
dc.contributor.institutionUniversity of St Andrews. School of Biologyen
dc.contributor.institutionUniversity of St Andrews. Centre for Energy Ethicsen
dc.contributor.institutionUniversity of St Andrews. Office of the Principalen
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. Sea Mammal Research Uniten
dc.contributor.institutionUniversity of St Andrews. School of Mathematics and Statisticsen
dc.contributor.institutionUniversity of St Andrews. Institute of Behavioural and Neural Sciencesen
dc.contributor.institutionUniversity of St Andrews. Statisticsen
dc.contributor.institutionUniversity of St Andrews. Marine Alliance for Science & Technology Scotlanden
dc.description.statusPeer revieweden

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