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Conservation macrogenetics: harnessing genetic data to meet conservation commitments.
Schmidt, Chloé; Hoban, Sean; Jetz, Walter.
Afiliação
  • Schmidt C; Department of Ecology and Evolutionary Biology, Yale University, New Haven, CT, USA; Center for Biodiversity and Global Change, Yale University, New Haven, CT, USA; German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany. Electronic address: chloe.schmidt@idiv.de.
  • Hoban S; The Center for Tree Science, The Morton Arboretum, Lisle, IL, USA.
  • Jetz W; Department of Ecology and Evolutionary Biology, Yale University, New Haven, CT, USA; Center for Biodiversity and Global Change, Yale University, New Haven, CT, USA.
Trends Genet ; 39(11): 816-829, 2023 11.
Article em En | MEDLINE | ID: mdl-37648576
ABSTRACT
Genetic biodiversity is rapidly gaining attention in global conservation policy. However, for almost all species, conservation relevant, population-level genetic data are lacking, limiting the extent to which genetic diversity can be used for conservation policy and decision-making. Macrogenetics is an emerging discipline that explores the patterns and processes underlying population genetic composition at broad taxonomic and spatial scales by aggregating and reanalyzing thousands of published genetic datasets. Here we argue that focusing macrogenetic tools on conservation needs, or conservation macrogenetics, will enhance decision-making for conservation practice and fill key data gaps for global policy. Conservation macrogenetics provides an empirical basis for better understanding the complexity and resilience of biological systems and, thus, how anthropogenic drivers and policy decisions affect biodiversity.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Conservação dos Recursos Naturais / Biodiversidade Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Conservação dos Recursos Naturais / Biodiversidade Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article