Literature DB >> 27696559

Toward reassessing data-deficient species.

Lucie M Bland1, Jon Bielby2, Stephen Kearney3, C David L Orme4, James E M Watson3,5, Ben Collen6.   

Abstract

One in 6 species (13,465 species) on the International Union for Conservation of Nature (IUCN) Red List is classified as data deficient due to lack of information on their taxonomy, population status, or impact of threats. Despite the chance that many are at high risk of extinction, data-deficient species are typically excluded from global and local conservation priorities, as well as funding schemes. The number of data-deficient species will greatly increase as the IUCN Red List becomes more inclusive of poorly known and speciose groups. A strategic approach is urgently needed to enhance the conservation value of data-deficient assessments. To develop this, we reviewed 2879 data-deficient assessments in 6 animal groups and identified 8 main justifications for assigning data-deficient status (type series, few records, old records, uncertain provenance, uncertain population status or distribution, uncertain threats, taxonomic uncertainty, and new species). Assigning a consistent set of justification tags (i.e., consistent assignment to assessment justifications) to species classified as data deficient is a simple way to achieve more strategic assessments. Such tags would clarify the causes of data deficiency; facilitate the prediction of extinction risk; facilitate comparisons of data deficiency among taxonomic groups; and help prioritize species for reassessment. With renewed efforts, it could be straightforward to prevent thousands of data-deficient species slipping unnoticed toward extinction.
© 2016 Society for Conservation Biology.

Entities:  

Keywords:  IUCN Red List; Lista Roja de la UICN; amphibians; anfibios; cangrejo de río; cangrejos de agua dulce; crayfish; extinction risk; freshwater crabs; mammals; mamíferos; odonatan; odonatos; reptiles; riesgo de extinción

Mesh:

Year:  2017        PMID: 27696559     DOI: 10.1111/cobi.12850

Source DB:  PubMed          Journal:  Conserv Biol        ISSN: 0888-8892            Impact factor:   6.560


  3 in total

1.  High extinction risk for wild coffee species and implications for coffee sector sustainability.

Authors:  Aaron P Davis; Helen Chadburn; Justin Moat; Robert O'Sullivan; Serene Hargreaves; Eimear Nic Lughadha
Journal:  Sci Adv       Date:  2019-01-16       Impact factor: 14.136

2.  More than half of data deficient species predicted to be threatened by extinction.

Authors:  Jan Borgelt; Martin Dorber; Marthe Alnes Høiberg; Francesca Verones
Journal:  Commun Biol       Date:  2022-08-04

3.  Tracking the rising extinction risk of sharks and rays in the Northeast Atlantic Ocean and Mediterranean Sea.

Authors:  Rachel H L Walls; Nicholas K Dulvy
Journal:  Sci Rep       Date:  2021-07-28       Impact factor: 4.379

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.