Your browser doesn't support javascript.
loading
Toward reassessing data-deficient species.
Bland, Lucie M; Bielby, Jon; Kearney, Stephen; Orme, C David L; Watson, James E M; Collen, Ben.
Afiliação
  • Bland LM; School of BioSciences, The University of Melbourne, Parkville, VIC 3010, Australia.
  • Bielby J; Institute of Zoology, Zoological Society of London, Regent's Park, London, NW1 4RY, U.K.
  • Kearney S; School of Geography, Planning and Environmental Management, University of Queensland, St. Lucia, QLD, 4072, Australia.
  • Orme CDL; Division of Biology, Imperial College London, Silwood Park, Ascot, SL5 7PY, U.K.
  • Watson JEM; School of Geography, Planning and Environmental Management, University of Queensland, St. Lucia, QLD, 4072, Australia.
  • Collen B; Wildlife Conservation Society, Global Conservation Programs, Bronx, NY, 10460, U.S.A.
Conserv Biol ; 31(3): 531-539, 2017 06.
Article em En | MEDLINE | ID: mdl-27696559
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.
Assuntos
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Coleta de Dados / Espécies em Perigo de Extinção / Conservação dos Recursos Naturais / Incerteza Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Animals Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Coleta de Dados / Espécies em Perigo de Extinção / Conservação dos Recursos Naturais / Incerteza Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Animals Idioma: En Ano de publicação: 2017 Tipo de documento: Article