TY - JOUR
T1 - Dealing With the Complexity of Effective Population Size in Conservation Practice
AU - Fedorca, Ancuta
AU - Mergeay, Joachim
AU - Akinyele, Adejoke O.
AU - Albayrak, Tamer
AU - Biebach, Iris
AU - Brambilla, Alice
AU - Burger, Pamela A.
AU - Buzan, Elena
AU - Curik, Ino
AU - Gargiulo, Roberta
AU - Godoy, José A.
AU - González-Martínez, Santiago C.
AU - Grossen, Christine
AU - Heuertz, Myriam
AU - Hoban, Sean
AU - Howard-McCombe, Jo
AU - Kachamakova, Maria
AU - Klinga, Peter
AU - Köppä, Viktoria
AU - Neugebauer, Elenora
AU - Paz-Vinas, Ivan
AU - Pearman, Peter B.
AU - Pérez-Sorribes, Laia
AU - Rinkevich, Baruch
AU - Russo, Isa Rita M.
AU - Theraroz, Adélaïde
AU - Thomas, Nia E.
AU - Westergren, Marjana
AU - Winter, Sven
AU - Laikre, Linda
AU - Kopatz, Alexander
N1 - Publisher Copyright:
© 2024 The Author(s). Evolutionary Applications published by John Wiley & Sons Ltd.
PY - 2024/12
Y1 - 2024/12
N2 - Effective population size (Ne) is one of the most important parameters in evolutionary biology, as it is linked to the long-term survival capability of species. Therefore, Ne greatly interests conservation geneticists, but it is also very relevant to policymakers, managers, and conservation practitioners. Molecular methods to estimate Ne rely on various assumptions, including no immigration, panmixia, random sampling, absence of spatial genetic structure, and/or mutation-drift equilibrium. Species are, however, often characterized by fragmented populations under changing environmental conditions and anthropogenic pressure. Therefore, the estimation methods' assumptions are seldom addressed and rarely met, possibly leading to biased and inaccurate Ne estimates. To address the challenges associated with estimating Ne for conservation purposes, the COST Action 18134, Genomic Biodiversity Knowledge for Resilient Ecosystems (G-BiKE), organized an international workshop that met in August 2022 in Brașov, Romania. The overarching goal was to operationalize the current knowledge of Ne estimation methods for conservation practitioners and decision-makers. We set out to identify datasets to evaluate the sensitivity of Ne estimation methods to violations of underlying assumptions and to develop data analysis strategies that addressed pressing issues in biodiversity monitoring and conservation. Referring to a comprehensive body of scientific work on Ne, this meeting report is not intended to be exhaustive but rather to present approaches, workshop findings, and a collection of papers that serve as fruits of those efforts. We aimed to provide insights and opportunities to help bridge the gap between scientific research and conservation practice.
AB - Effective population size (Ne) is one of the most important parameters in evolutionary biology, as it is linked to the long-term survival capability of species. Therefore, Ne greatly interests conservation geneticists, but it is also very relevant to policymakers, managers, and conservation practitioners. Molecular methods to estimate Ne rely on various assumptions, including no immigration, panmixia, random sampling, absence of spatial genetic structure, and/or mutation-drift equilibrium. Species are, however, often characterized by fragmented populations under changing environmental conditions and anthropogenic pressure. Therefore, the estimation methods' assumptions are seldom addressed and rarely met, possibly leading to biased and inaccurate Ne estimates. To address the challenges associated with estimating Ne for conservation purposes, the COST Action 18134, Genomic Biodiversity Knowledge for Resilient Ecosystems (G-BiKE), organized an international workshop that met in August 2022 in Brașov, Romania. The overarching goal was to operationalize the current knowledge of Ne estimation methods for conservation practitioners and decision-makers. We set out to identify datasets to evaluate the sensitivity of Ne estimation methods to violations of underlying assumptions and to develop data analysis strategies that addressed pressing issues in biodiversity monitoring and conservation. Referring to a comprehensive body of scientific work on Ne, this meeting report is not intended to be exhaustive but rather to present approaches, workshop findings, and a collection of papers that serve as fruits of those efforts. We aimed to provide insights and opportunities to help bridge the gap between scientific research and conservation practice.
KW - Kunming-Montreal global biodiversity framework
KW - Ne
KW - biodiversity monitoring
KW - bridging science-to-application gap
KW - effective number of breeders
KW - genetic diversity
KW - genetic indicators
KW - species conservation and management
UR - http://www.scopus.com/inward/record.url?scp=85212107082&partnerID=8YFLogxK
U2 - 10.1111/eva.70031
DO - 10.1111/eva.70031
M3 - Article
C2 - 39679127
AN - SCOPUS:85212107082
SN - 1752-4571
VL - 17
JO - Evolutionary Applications
JF - Evolutionary Applications
IS - 12
M1 - e70031
ER -