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

Sherley, Richard B., Winker, Henning, Rigby, Cassandra L., Kyne, Peter M., Pollom, Riley, Pacoureau, Nathan, Herman, Katelyn, Carlson, John K., Yin, Jamie S., Kindsvater, Holly K., and Dulvy, Nicholas K. (2019) Estimating IUCN Red List population reduction: JARA-A decision-support tool applied to pelagic sharks. Conservation Letters, 13 (2). e12688.

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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.

Item ID: 61137
Item Type: Article (Research - C1)
ISSN: 1755-263X
Keywords: Bayesian state-space model, biodiversity conservation, demography, elasmobranch, extinction risk, population decline, threatened species
Copyright Information: © 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.
Funders: National Sciences and Engineering Research Council Discovery, Canada Research Chairs Program, National Science Foundation (NSF), Shark Conservation Fund
Projects and Grants: NSF Grant Number: DEB‐1556779
Date Deposited: 04 Dec 2019 07:38
FoR Codes: 41 ENVIRONMENTAL SCIENCES > 4104 Environmental management > 410402 Environmental assessment and monitoring @ 100%
SEO Codes: 96 ENVIRONMENT > 9606 Environmental and Natural Resource Evaluation > 960604 Environmental Management Systems @ 100%
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