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Multinational evaluation of genetic diversity indicators for the Kunming‐Montreal Global Biodiversity Framework
Ecology Letters ( IF 7.6 ) Pub Date : 2024-07-02 , DOI: 10.1111/ele.14461 Alicia Mastretta‐Yanes 1, 2, 3 , Jessica M. da Silva 4, 5 , Catherine E. Grueber 6 , Luis Castillo‐Reina 7 , Viktoria Köppä 8 , Brenna R. Forester 9 , W. Chris Funk 10, 11 , Myriam Heuertz 12 , Fumiko Ishihama 13 , Rebecca Jordan 14 , Joachim Mergeay 7, 15 , Ivan Paz‐Vinas 10, 16 , Victor Julio Rincon‐Parra 17 , Maria Alejandra Rodriguez‐Morales 18 , Libertad Arredondo‐Amezcua 19 , Gaëlle Brahy 12 , Matt DeSaix 10 , Lily Durkee 11, 20 , Ashley Hamilton 21, 22 , Margaret E. Hunter 23 , Austin Koontz 22 , Iris Lang 24 , María Camila Latorre‐Cárdenas 25 , Tanya Latty 6 , Alexander Llanes‐Quevedo 26 , Anna J. MacDonald 27 , Meg Mahoney 11, 28 , Caitlin Miller 10, 11 , Juan Francisco Ornelas 29 , Santiago Ramírez‐Barahona 30 , Erica Robertson 10, 11 , Isa‐Rita M. Russo 31 , Metztli Arcila Santiago 32 , Robyn E. Shaw 33 , Glenn M. Shea 34, 35 , Per Sjögren‐Gulve 36 , Emma Suzuki Spence 37 , Taylor Stack 38 , Sofía Suárez 32, 39 , Akio Takenaka 13 , Henrik Thurfjell 40 , Sheela Turbek 10 , Marlien van der Merwe 41 , Fleur Visser 42, 43 , Ana Wegier 39 , Georgina Wood 44, 45 , Eugenia Zarza 1, 46 , Linda Laikre 8 , Sean Hoban 21, 22
Ecology Letters ( IF 7.6 ) Pub Date : 2024-07-02 , DOI: 10.1111/ele.14461 Alicia Mastretta‐Yanes 1, 2, 3 , Jessica M. da Silva 4, 5 , Catherine E. Grueber 6 , Luis Castillo‐Reina 7 , Viktoria Köppä 8 , Brenna R. Forester 9 , W. Chris Funk 10, 11 , Myriam Heuertz 12 , Fumiko Ishihama 13 , Rebecca Jordan 14 , Joachim Mergeay 7, 15 , Ivan Paz‐Vinas 10, 16 , Victor Julio Rincon‐Parra 17 , Maria Alejandra Rodriguez‐Morales 18 , Libertad Arredondo‐Amezcua 19 , Gaëlle Brahy 12 , Matt DeSaix 10 , Lily Durkee 11, 20 , Ashley Hamilton 21, 22 , Margaret E. Hunter 23 , Austin Koontz 22 , Iris Lang 24 , María Camila Latorre‐Cárdenas 25 , Tanya Latty 6 , Alexander Llanes‐Quevedo 26 , Anna J. MacDonald 27 , Meg Mahoney 11, 28 , Caitlin Miller 10, 11 , Juan Francisco Ornelas 29 , Santiago Ramírez‐Barahona 30 , Erica Robertson 10, 11 , Isa‐Rita M. Russo 31 , Metztli Arcila Santiago 32 , Robyn E. Shaw 33 , Glenn M. Shea 34, 35 , Per Sjögren‐Gulve 36 , Emma Suzuki Spence 37 , Taylor Stack 38 , Sofía Suárez 32, 39 , Akio Takenaka 13 , Henrik Thurfjell 40 , Sheela Turbek 10 , Marlien van der Merwe 41 , Fleur Visser 42, 43 , Ana Wegier 39 , Georgina Wood 44, 45 , Eugenia Zarza 1, 46 , Linda Laikre 8 , Sean Hoban 21, 22
Affiliation
Under the recently adopted Kunming‐Montreal Global Biodiversity Framework, 196 Parties committed to reporting the status of genetic diversity for all species. To facilitate reporting, three genetic diversity indicators were developed, two of which focus on processes contributing to genetic diversity conservation: maintaining genetically distinct populations and ensuring populations are large enough to maintain genetic diversity. The major advantage of these indicators is that they can be estimated with or without DNA‐based data. However, demonstrating their feasibility requires addressing the methodological challenges of using data gathered from diverse sources, across diverse taxonomic groups, and for countries of varying socio‐economic status and biodiversity levels. Here, we assess the genetic indicators for 919 taxa, representing 5271 populations across nine countries, including megadiverse countries and developing economies. Eighty‐three percent of the taxa assessed had data available to calculate at least one indicator. Our results show that although the majority of species maintain most populations, 58% of species have populations too small to maintain genetic diversity. Moreover, genetic indicator values suggest that IUCN Red List status and other initiatives fail to assess genetic status, highlighting the critical importance of genetic indicators.
中文翻译:
昆明-蒙特利尔全球生物多样性框架遗传多样性指标的多国评估
根据最近通过的《昆明-蒙特利尔全球生物多样性框架》,196 个缔约方承诺报告所有物种的遗传多样性状况。为了便于报告,制定了三项遗传多样性指标,其中两项重点关注有助于遗传多样性保护的过程:维持遗传独特的种群和确保种群足够大以维持遗传多样性。这些指标的主要优点是无论有或没有基于 DNA 的数据都可以对其进行估计。然而,证明其可行性需要解决使用从不同来源、不同分类群体以及不同社会经济地位和生物多样性水平的国家收集的数据的方法学挑战。在这里,我们评估了 919 个类群的遗传指标,代表 9 个国家的 5271 个种群,其中包括生物多样性丰富的国家和发展中经济体。百分之八十三的评估类群拥有可用于计算至少一项指标的数据。我们的结果表明,尽管大多数物种维持着大部分种群,但 58% 的物种种群太小而无法维持遗传多样性。此外,遗传指标值表明,世界自然保护联盟红色名录状态和其他举措未能评估遗传状态,凸显了遗传指标的至关重要性。
更新日期:2024-07-02
中文翻译:
昆明-蒙特利尔全球生物多样性框架遗传多样性指标的多国评估
根据最近通过的《昆明-蒙特利尔全球生物多样性框架》,196 个缔约方承诺报告所有物种的遗传多样性状况。为了便于报告,制定了三项遗传多样性指标,其中两项重点关注有助于遗传多样性保护的过程:维持遗传独特的种群和确保种群足够大以维持遗传多样性。这些指标的主要优点是无论有或没有基于 DNA 的数据都可以对其进行估计。然而,证明其可行性需要解决使用从不同来源、不同分类群体以及不同社会经济地位和生物多样性水平的国家收集的数据的方法学挑战。在这里,我们评估了 919 个类群的遗传指标,代表 9 个国家的 5271 个种群,其中包括生物多样性丰富的国家和发展中经济体。百分之八十三的评估类群拥有可用于计算至少一项指标的数据。我们的结果表明,尽管大多数物种维持着大部分种群,但 58% 的物种种群太小而无法维持遗传多样性。此外,遗传指标值表明,世界自然保护联盟红色名录状态和其他举措未能评估遗传状态,凸显了遗传指标的至关重要性。