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  Dealing with the complexity of effective population size in conservation practice

Fedorca, A., Mergeay, J., Akinyele, A. O., Albayrak, T., Biebach, I., Brambilla, A., et al. (2024). Dealing with the complexity of effective population size in conservation practice. Evolutionary Applications, 17(12): e70031. doi:10.1111/eva.70031.

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This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work isproperly cited.© 2024 The Author(s). Evolutionary Applications published by John Wiley & Sons Ltd.

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 Creators:
Fedorca, Ancuta, Author
Mergeay, Joachim, Author
Akinyele, Adejoke O., Author
Albayrak, Tamer, Author
Biebach, Iris, Author
Brambilla, Alice, Author
Burger, Pamela A., Author
Buzan, Elena, Author
Curik, Ino, Author
Gargiulo, Roberta, Author
Godoy, José A., Author
González‐Martínez, Santiago C., Author
Grossen, Christine, Author
Heuertz, Myriam, Author
Hoban, Sean, Author
Howard‐McCombe, Jo, Author
Kachamakova, Maria, Author
Klinga, Peter, Author
Köppä, Viktoria, Author
Neugebauer, Elenora1, 2, Author           
Paz‐Vinas, Ivan, AuthorPearman, Peter B., AuthorPérez‐Sorribes, Laia, AuthorRinkevich, Baruch, AuthorRusso, Isa‐Rita M., AuthorTheraroz, Adélaïde, AuthorThomas, Nia E., AuthorWestergren, Marjana, AuthorWinter, Sven, AuthorLaikre, Linda, AuthorKopatz, Alexander, Author more..
Affiliations:
1Department of Human Behavior Ecology and Culture, Max Planck Institute for Evolutionary Anthropology, Max Planck Society, Deutscher Platz 6, 04103 Leipzig, DE, ou_2173689              
2The Leipzig School of Human Origins (IMPRS), Max Planck Institute for Evolutionary Anthropology, Max Planck Society, Deutscher Platz 6, 04103 Leipzig, DE, ou_1497688              

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 Abstract: Effective population size (Ne) is one of the most important parameters in evolutionary biology, as it is linked to the long-termsurvival capability of species. Therefore, Ne greatly interests conservation geneticists, but it is also very relevant to policymak-ers, managers, and conservation practitioners. Molecular methods to estimate Ne rely on various assumptions, including noimmigration, 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 inaccu-rate 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 August2022 in Brașov, Romania. The overarching goal was to operationalize the current knowledge of Ne estimation methods for con-servation practitioners and decision-makers. We set out to identify datasets to evaluate the sensitivity of Ne estimation methodsto violations of underlying assumptions and to develop data analysis strategies that addressed pressing issues in biodiversitymonitoring and conservation. Referring to a comprehensive body of scientific work on Ne, this meeting report is not intended tobe 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.

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Language(s): eng - English
 Dates: 2024-12-13
 Publication Status: Published online
 Pages: -
 Publishing info: -
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 Rev. Type: Peer
 Identifiers: DOI: 10.1111/eva.70031
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Title: Evolutionary Applications
Source Genre: Journal
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Pages: - Volume / Issue: 17 (12) Sequence Number: e70031 Start / End Page: - Identifier: ISSN: 1752-4571
ISSN: 1752-4571