Estimating IUCN Red List population reduction: JARA-A decision-support tool applied to pelagic sharks

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dc.contributor.authorSherley, Richard B.en
dc.contributor.authorWinker, Henningen
dc.contributor.authorRigby, Cassandra L.en
dc.contributor.authorKyne, Peter M.en
dc.contributor.authorPollom, Rileyen
dc.contributor.authorPacoureau, Nathanen
dc.contributor.authorHerman, Katelynen
dc.contributor.authorCarlson, John K.en
dc.contributor.authorYin, Jamie S.en
dc.contributor.authorKindsvater, Holly K.en
dc.contributor.authorDulvy, Nicholas K.en
dc.contributor.departmentFish and Wildlife Conservationen
dc.date.accessioned2020-02-06T15:16:03Zen
dc.date.available2020-02-06T15:16:03Zen
dc.date.issued2019-11en
dc.description.abstractThe International Union for Conservation of Nature's (IUCN) Red List is the global standard for quantifying extinction risk but assessing population reduction (criterion A) of wide-ranging, long-lived marine taxa remains difficult and controversial. We show how Bayesian state-space models (BSSM), coupled with expert knowledge at IUCN Red List workshops, can combine regional abundance data into indices of global population change. To illustrate our approach, we provide examples of the process to assess four circumglobal sharks with differing temporal and spatial data-deficiency: Blue Shark (Prionace glauca), Shortfin Mako (Isurus oxyrinchus), Dusky Shark (Carcharhinus obscurus), and Great Hammerhead (Sphyrna mokarran). For each species, the BSSM provided global population change estimates over three generation lengths bounded by uncertainty levels in intuitive outputs, enabling informed decisions on the status of each species. Integrating similar analyses into future workshops would help conservation practitioners ensure robust, consistent, and transparent Red List assessments for other long-lived, wide-ranging species.en
dc.description.notesNatural Science andEngineeringResearch Council Discovery; CanadaResearch Chairs Program; National Science Foundation, Grant/AwardNumber: DEB-1556779; Shark Conservation Funden
dc.description.sponsorshipNatural Science andEngineeringResearch Council DiscoveryNatural Sciences and Engineering Research Council of Canada; CanadaResearch Chairs ProgramCanada Research Chairs; National Science FoundationNational Science Foundation (NSF) [DEB-1556779]; Shark Conservation Funden
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.1111/conl.12688en
dc.identifier.issn1755-263Xen
dc.identifier.otherUNSP e12688en
dc.identifier.urihttp://hdl.handle.net/10919/96739en
dc.language.isoenen
dc.rightsCreative Commons Attribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectBayesian state-space modelen
dc.subjectbiodiversity conservationen
dc.subjectdemographyen
dc.subjectelasmobranchen
dc.subjectextinction risken
dc.subjectpopulation declineen
dc.subjectthreatened speciesen
dc.titleEstimating IUCN Red List population reduction: JARA-A decision-support tool applied to pelagic sharksen
dc.title.serialConservation Lettersen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten
dc.type.dcmitypeStillImageen

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