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  5. Dealing With the Complexity of Effective Population Size in Conservation Practice.

Dealing With the Complexity of Effective Population Size in Conservation Practice.

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Resource type
Journal article
Creator (person)
Fedorca, Ancuta
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Mergeay, Joachim
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Akinyele, Adejoke O.
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Albayrak, Tamer
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Biebach, Iris
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Date published
December 13, 2024
Abstract

Effective population size ( ) is one of the most important parameters in evolutionary biology, as it is linked to the long‐term survival capability of species. Therefore, greatly interests conservation geneticists, but it is also very relevant to policymakers, managers, and conservation practitioners. Molecular methods to estimate 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 estimates. To address the challenges associated with estimating 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 estimation methods for conservation practitioners and decision‐makers. We set out to identify datasets to evaluate the sensitivity of 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 , 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.

Organisational unit
Science
Project(s)
Priority 1: Ecosystem Stewardship
Funder
Funder nameISNIAwards
European Cooperation in Science and Technology, Belgium
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CA 23121
Horizon 2020 Framework Programme, European Union
No 862221 (FORGENIUS)
Norges Forskningsråd, Norway
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160022/F40
The Slovenian Research and Innovation Agency, Slovenia
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P1-0386 - P4-0107
Biodiversa+, France
ANR‐23‐EBIP‐0003‐06
Austrian Science Fund, Austria
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Project I5081‐B
Agence Nationale de la Recherche, France
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ANR‐10‐LABEX‐0025
Ministerio de Ciencia e Innovación, Spain
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PRE2022‐105110
Svenska Forskningsrådet Formas, Sweden
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2020‐01290 - 2019-05503
People's Trust for Endangered Species, United Kingdom
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Naturvårdsverket, Sweden
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Journal title
Evolutionary Applications
Volume
17
Issue
12
Article number
e70031
Publisher
John Wiley & Sons Ltd.
Place of publication
UK
ISSN
1752-4571
eISSN
1752-4571
Date accepted
October 5, 2024
Official URL
https://doi.org/10.1111/eva.70031
Rights statement
In Copyright
Licence
CC BY 4.0
DOI
10.1111/eva.70031
Alternate identifier
e70031
Keywords
Bridging science-to-application gap
Ne
Genetic diversity
Conservation practice
Genetic indicators
Kunming-Montreal global biodiversity framework
Sspecies conservation and management
Effective number of breeders
Population size
Biodiversity monitoring
Additional information
IF = 4.939 (2023-2024)
Managed by the British Library and supported by the AHRC

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