Estimating IUCN Red List population reduction

JARA—A decision-support tool applied to pelagic sharks

Richard B. Sherley, Henning Winker, Cassandra L. Rigby, Peter M. Kyne, Riley Pollom, Nathan Pacoureau, Katelyn Herman, John K. Carlson, Jamie S. Yin, Holly K. Kindsvater, Nicholas K. Dulvy

    Research output: Contribution to journalLetterResearchpeer-review

    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.

    Original languageEnglish
    Article numbere12688
    Pages (from-to)1-10
    Number of pages10
    JournalConservation Letters
    DOIs
    Publication statusE-pub ahead of print - 18 Nov 2019

    Fingerprint

    Red List
    natural resources conservation
    shark
    sharks
    Isurus oxyrinchus
    Prionace glauca
    Carcharhinus
    extinction risk
    expert opinion
    spatial data
    extinction
    uncertainty
    decision
    Sphyrna mokarran

    Cite this

    Sherley, R. B., Winker, H., Rigby, C. L., Kyne, P. M., Pollom, R., Pacoureau, N., ... Dulvy, N. K. (2019). Estimating IUCN Red List population reduction: JARA—A decision-support tool applied to pelagic sharks. Conservation Letters, 1-10. [e12688]. https://doi.org/10.1111/conl.12688
    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. ; Dulvy, Nicholas K. / Estimating IUCN Red List population reduction : JARA—A decision-support tool applied to pelagic sharks. In: Conservation Letters. 2019 ; pp. 1-10.
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    title = "Estimating IUCN Red List population reduction: JARA—A decision-support tool applied to pelagic sharks",
    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.",
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    author = "Sherley, {Richard B.} and Henning Winker and Rigby, {Cassandra L.} and Kyne, {Peter M.} and Riley Pollom and Nathan Pacoureau and Katelyn Herman and Carlson, {John K.} and Yin, {Jamie S.} and Kindsvater, {Holly K.} and Dulvy, {Nicholas K.}",
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    Sherley, RB, Winker, H, Rigby, CL, Kyne, PM, Pollom, R, Pacoureau, N, Herman, K, Carlson, JK, Yin, JS, Kindsvater, HK & Dulvy, NK 2019, 'Estimating IUCN Red List population reduction: JARA—A decision-support tool applied to pelagic sharks', Conservation Letters, pp. 1-10. https://doi.org/10.1111/conl.12688

    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.; Dulvy, Nicholas K.

    In: Conservation Letters, 18.11.2019, p. 1-10.

    Research output: Contribution to journalLetterResearchpeer-review

    TY - JOUR

    T1 - Estimating IUCN Red List population reduction

    T2 - JARA—A decision-support tool applied to pelagic sharks

    AU - Sherley, Richard B.

    AU - Winker, Henning

    AU - Rigby, Cassandra L.

    AU - Kyne, Peter M.

    AU - Pollom, Riley

    AU - Pacoureau, Nathan

    AU - Herman, Katelyn

    AU - Carlson, John K.

    AU - Yin, Jamie S.

    AU - Kindsvater, Holly K.

    AU - Dulvy, Nicholas K.

    PY - 2019/11/18

    Y1 - 2019/11/18

    N2 - 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.

    AB - 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.

    KW - Bayesian state–space model

    KW - biodiversity conservation

    KW - demography

    KW - elasmobranch

    KW - extinction risk

    KW - population decline

    KW - threatened species

    UR - http://www.scopus.com/inward/record.url?scp=85075429290&partnerID=8YFLogxK

    U2 - 10.1111/conl.12688

    DO - 10.1111/conl.12688

    M3 - Letter

    SP - 1

    EP - 10

    JO - Conservation Letters

    JF - Conservation Letters

    SN - 1755-263X

    M1 - e12688

    ER -