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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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Fedorca_Dealing_EvolAppl_2024.pdf (Verlagsversion), 3MB
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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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Fedorca, Ancuta, Autor
Mergeay, Joachim, Autor
Akinyele, Adejoke O., Autor
Albayrak, Tamer, Autor
Biebach, Iris, Autor
Brambilla, Alice, Autor
Burger, Pamela A., Autor
Buzan, Elena, Autor
Curik, Ino, Autor
Gargiulo, Roberta, Autor
Godoy, José A., Autor
González‐Martínez, Santiago C., Autor
Grossen, Christine, Autor
Heuertz, Myriam, Autor
Hoban, Sean, Autor
Howard‐McCombe, Jo, Autor
Kachamakova, Maria, Autor
Klinga, Peter, Autor
Köppä, Viktoria, Autor
Neugebauer, Elenora1, 2, Autor           
Paz‐Vinas, Ivan, AutorPearman, Peter B., AutorPérez‐Sorribes, Laia, AutorRinkevich, Baruch, AutorRusso, Isa‐Rita M., AutorTheraroz, Adélaïde, AutorThomas, Nia E., AutorWestergren, Marjana, AutorWinter, Sven, AutorLaikre, Linda, AutorKopatz, Alexander, Autor mehr..
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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 Zusammenfassung: 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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Sprache(n): eng - English
 Datum: 2024-12-13
 Publikationsstatus: Online veröffentlicht
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 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.1111/eva.70031
 Art des Abschluß: -

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Titel: Evolutionary Applications
Genre der Quelle: Zeitschrift
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Seiten: - Band / Heft: 17 (12) Artikelnummer: e70031 Start- / Endseite: - Identifikator: ISSN: 1752-4571
ISSN: 1752-4571