Estimating IUCN Red List population reduction: JARA – a decision-support tool applied to pelagic sharks
dc.contributor.author | Sherley, R | |
dc.contributor.author | Winker, H | |
dc.contributor.author | Rigby, C | |
dc.contributor.author | Kyne, P | |
dc.contributor.author | Pacoureau, N | |
dc.contributor.author | Herman, K | |
dc.contributor.author | Carlson, J | |
dc.contributor.author | Yin, J | |
dc.contributor.author | Kindsvater, H | |
dc.contributor.author | Dulvy, N | |
dc.date.accessioned | 2019-11-06T12:54:48Z | |
dc.date.issued | 2019-11-18 | |
dc.description.abstract | The 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_GB |
dc.description.sponsorship | Natural Science and Engineering Research Council | en_GB |
dc.description.sponsorship | Canada Research Chairs Program | en_GB |
dc.description.sponsorship | National Science Foundation (NSF) | en_GB |
dc.description.sponsorship | Shark Conservation Fund | en_GB |
dc.identifier.citation | Published online 18 November 2019 | en_GB |
dc.identifier.doi | 10.1111/conl.12688 | |
dc.identifier.grantnumber | DEB-1556779 | en_GB |
dc.identifier.uri | http://hdl.handle.net/10871/39542 | |
dc.language.iso | en | en_GB |
dc.publisher | Wiley for Society for Conservation Biology | en_GB |
dc.rights | © 2019 The Authors. Conservation Letters published by Wiley Periodicals, Inc. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. | |
dc.subject | Bayesian state-space model | en_GB |
dc.subject | biodiversity conservation | en_GB |
dc.subject | demography | en_GB |
dc.subject | elasmobranch | en_GB |
dc.subject | extinction risk | en_GB |
dc.subject | population decline | en_GB |
dc.subject | threatened species | en_GB |
dc.title | Estimating IUCN Red List population reduction: JARA – a decision-support tool applied to pelagic sharks | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2019-11-06T12:54:48Z | |
dc.identifier.issn | 1755-263X | |
dc.description | This is the final version. Available on open access from Wiley via the DOI in this record | en_GB |
dc.identifier.journal | Conservation Letters | en_GB |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en_GB |
dcterms.dateAccepted | 2019-11-05 | |
rioxxterms.version | VoR | en_GB |
rioxxterms.licenseref.startdate | 2019-11-05 | |
rioxxterms.type | Journal Article/Review | en_GB |
refterms.dateFCD | 2019-11-05T16:10:14Z | |
refterms.versionFCD | AM | |
refterms.dateFOA | 2020-02-03T16:27:52Z | |
refterms.panel | A | en_GB |
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Except where otherwise noted, this item's licence is described as © 2019 The Authors. Conservation Letters published by Wiley Periodicals, Inc.
This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.