Predicting IUCN Extinction Risk Categories for the World's Data Deficient Groupers (Teleostei: Epinephelidae)

O. Luiz,Rachael M. Woods,E. Madin,Joshua S Madin

Published 2016 in Conservation Letters

ABSTRACT

Groupers are highly susceptible to human‐induced impacts, making them one of the most threatened fish families globally. Extinction risk assessments are important in endangered threatened species management, however the most comprehensive—the International Union for Conservation of Nature (IUCN) Red List—cannot classify approximately one‐third of grouper species due to data deficiency. We used an ordinal analytical approach to model relationships between species‐level traits and extinction risk categories. We found that larger species and those with shallower maximum depths and smaller geographic ranges had higher extinction risk. Using our best fitting model, we classified data deficient grouper species into IUCN's extinction risk categories based on traits. Most of these species were predicted to be of least concern. However, 12% were predicted to be endangered or vulnerable, suggesting that they may be of conservation interest. Importantly, we provide a quantitative method for overcoming data gaps that can be applied to conservation of other species.

PUBLICATION RECORD

  • Publication year

    2016

  • Venue

    Conservation Letters

  • Publication date

    2016-09-01

  • Fields of study

    Biology, Environmental Science

  • Identifiers
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

CITATION MAP

EXTRACTION MAP

CLAIMS

  • No claims are published for this paper.

CONCEPTS

  • No concepts are published for this paper.

REFERENCES

Showing 1-34 of 34 references · Page 1 of 1

CITED BY

Showing 1-69 of 69 citing papers · Page 1 of 1