Multinational evaluation of genetic diversity indicators for the Kunming-Montreal Global Biodiversity Framework
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 genetic indicator values suggest that IUCN Red List status and other initiatives fail to assess genetic status, highlighting the critical importance of genetic indicators. We assess two genetic indicators for 919 taxa, representing 5271 populations in nine countries, including megadiverse countries and developing economies. The majority of taxa assessed (83 had data available to calculate at least one indicator. Although most species assessed have most populations maintained (Populations maintained indicator), a large percentage of species' populations are too small to maintain genetic diversity (Ne 500 indicator). Genetic indicators can be calculated quickly and affordably.image
Details
| Volume | 27 |
|---|---|
| Tijdschrift nummer | 7 |
| Type | A1: Web of Science-artikel |
| Categorie | Onderzoek |
| Tijdschrift | Ecology Letters |
| Issns | 1461-023X|1461-0248 |
| Uitgeverij | Blackwell Synergy |
| Taal | Engels |
Bibtex
@misc{511d2a7b-de1d-447b-a57b-2af5f0497db4,
title = "Multinational evaluation of genetic diversity indicators for the Kunming-Montreal Global Biodiversity Framework",
abstract = "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 genetic indicator values suggest that IUCN Red List status and other initiatives fail to assess genetic status, highlighting the critical importance of genetic indicators. We assess two genetic indicators for 919 taxa, representing 5271 populations in nine countries, including megadiverse countries and developing economies. The majority of taxa assessed (83 had data available to calculate at least one indicator. Although most species assessed have most populations maintained (Populations maintained indicator), a large percentage of species' populations are too small to maintain genetic diversity (Ne 500 indicator). Genetic indicators can be calculated quickly and affordably.image",
author = "Alicia Mastretta-Yanes and Jessica M. da Silva and Catherine E. Grueber and Luis Castillo-Reina and Viktoria Koeppae and Brenna R. Forester and W. Chris Funk and Myriam Heuertz and Fumiko Ishihama and Rebecca Jordan and Joachim Mergeay and Ivan Paz-Vinas and Victor Julio Rincon-Parra and Maria Alejandra Rodriguez-Morales and Libertad Arredondo-Amezcua and Gaelle Brahy and Matt Desaix and Lily Durkee and Ashley Hamilton and Margaret E. Hunter and Austin Koontz and Iris Lang and Maria Camila Latorre-Cardenas and Tanya Latty and Alexander Llanes-Quevedo and Anna J. MacDonald and Meg Mahoney and Caitlin Miller and Juan Francisco Ornelas and Santiago Ramirez-Barahona and Erica Robertson and Isa-Rita M. Russo and Metztli Arcila Santiago and Robyn E. Shaw and Glenn M. Shea and Per Sjogren-Gulve and Emma Suzuki Spence and Taylor Stack and Sofia Suarez and Akio Takenaka and Henrik Thurfjell and Sheela Turbek and Marlien van Der Merwe and Fleur Visser and Ana Wegier and Georgina Wood and Eugenia Zarza and Linda Laikre and Sean Hoban",
year = "2024",
month = jul,
day = "01",
doi = "https://doi.org/10.1111/ele.14461",
language = "Nederlands",
publisher = "Blackwell Synergy",
address = "België,
type = "Other"
}
Auteurs
Alicia Mastretta-YanesJessica M. da Silva
Catherine E. Grueber
Luis Castillo-Reina
Viktoria Koeppae
Brenna R. Forester
W. Chris Funk
Myriam Heuertz
Fumiko Ishihama
Rebecca Jordan
Joachim Mergeay
Ivan Paz-Vinas
Victor Julio Rincon-Parra
Maria Alejandra Rodriguez-Morales
Libertad Arredondo-Amezcua
Gaelle Brahy
Matt Desaix
Lily Durkee
Ashley Hamilton
Margaret E. Hunter
Austin Koontz
Iris Lang
Maria Camila Latorre-Cardenas
Tanya Latty
Alexander Llanes-Quevedo
Anna J. MacDonald
Meg Mahoney
Caitlin Miller
Juan Francisco Ornelas
Santiago Ramirez-Barahona
Erica Robertson
Isa-Rita M. Russo
Metztli Arcila Santiago
Robyn E. Shaw
Glenn M. Shea
Per Sjogren-Gulve
Emma Suzuki Spence
Taylor Stack
Sofia Suarez
Akio Takenaka
Henrik Thurfjell
Sheela Turbek
Marlien van Der Merwe
Fleur Visser
Ana Wegier
Georgina Wood
Eugenia Zarza
Linda Laikre
Sean Hoban
