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dc.contributor.authorPunt, André E.
dc.contributor.authorSepúlveda, Maritza
dc.contributor.authorSiple, Margaret C.
dc.contributor.authorMoore, Jeff Rey
dc.contributor.authorFrancis, Tessa B.
dc.contributor.authorHammond, Philip S.
dc.contributor.authorHeinemann, Dennis
dc.contributor.authorLong, Kristy J.
dc.contributor.authorOliva, Doris
dc.contributor.authorReeves, Randall R.
dc.contributor.authorSigurðsson, Guðjón Már
dc.contributor.authorVíkingsson, Gísli
dc.contributor.authorWade, Paul R.
dc.contributor.authorWilliams, Rob
dc.contributor.authorZerbini, Alexandre N.
dc.date.accessioned2020-12-16T16:30:15Z
dc.date.available2020-12-16T16:30:15Z
dc.date.issued2021-03
dc.identifier271708734
dc.identifier8f8a8a97-ca13-4e48-897d-65d29037efcd
dc.identifier85097228878
dc.identifier000605480500005
dc.identifier.citationPunt , A E , Sepúlveda , M , Siple , M C , Moore , J R , Francis , T B , Hammond , P S , Heinemann , D , Long , K J , Oliva , D , Reeves , R R , Sigurðsson , G M , Víkingsson , G , Wade , P R , Williams , R & Zerbini , A N 2021 , ' Assessing pinniped bycatch mortality with uncertainty in abundance and post-release mortality : a case study from Chile ' , Fisheries Research , vol. 235 , 105816 . https://doi.org/10.1016/j.fishres.2020.105816en
dc.identifier.issn0165-7836
dc.identifier.otherORCID: /0000-0002-2381-8302/work/85562141
dc.identifier.urihttps://hdl.handle.net/10023/21164
dc.descriptionWe acknowledge funding from LENFEST and Project FIPA.en
dc.description.abstractThe effects of human-caused mortality, such as fisheries bycatch, of endangered, threatened and protected (ETP) species of marine mammals can be evaluated using population model-based stock assessments. The information available to conduct such assessments is often very limited. Available data might include fragmented time-series of abundance estimates, incomplete data on bycatch for the fisheries that interact with ETP species (often few years and low observer coverage), and perhaps some data on scale and trends in fishing effort. Such data are challenging to use as the basis for stock assessments, which generally assume that estimates of removals (bycatch, in our context) through time are available for at least the most recent decade or two. This paper describes a stock assessment method for use with sparse observer data on bycatch mortality, applied within the context of a Bayesian estimation framework. The method produces estimates, with associated measures of precision, of population size and historical time-series of bycatch mortality that are consistent with the observer and abundance data. It provides a rigorous way to account for the uncertainty arising from animals that are caught but released alive and then die subsequent to release, given a post-release mortality rate prior. Observer data from industrial and artisanal purse seine and trawl fisheries and survey data for South American sea lions (Otaria byronia) and South American fur seals (Arctocephalus australis) off Chile are used to illustrate the method.
dc.format.extent14
dc.format.extent5669606
dc.language.isoeng
dc.relation.ispartofFisheries Researchen
dc.subjectBayesian methodsen
dc.subjectBycatchen
dc.subjectMarine mammalsen
dc.subjectPrecautionary managementen
dc.subjectStock assessmenten
dc.subjectGC Oceanographyen
dc.subjectQA Mathematicsen
dc.subjectSH Aquaculture. Fisheries. Anglingen
dc.subjectAquatic Scienceen
dc.subject3rd-DASen
dc.subjectSDG 3 - Good Health and Well-beingen
dc.subjectSDG 14 - Life Below Wateren
dc.subject.lccGCen
dc.subject.lccQAen
dc.subject.lccSHen
dc.titleAssessing pinniped bycatch mortality with uncertainty in abundance and post-release mortality : a case study from Chileen
dc.typeJournal articleen
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.identifier.doi10.1016/j.fishres.2020.105816
dc.description.statusPeer revieweden


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