Dealing With the Complexity of Effective Population Size in Conservation Practice
ABSTRACT 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...
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2024-12-01
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| Series: | Evolutionary Applications |
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| Online Access: | https://doi.org/10.1111/eva.70031 |
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| author | Ancuta Fedorca Joachim Mergeay Adejoke O. Akinyele Tamer Albayrak Iris Biebach Alice Brambilla Pamela A. Burger Elena Buzan Ino Curik Roberta Gargiulo José A. Godoy Santiago C. González‐Martínez Christine Grossen Myriam Heuertz Sean Hoban Jo Howard‐McCombe Maria Kachamakova Peter Klinga Viktoria Köppä Elenora Neugebauer Ivan Paz‐Vinas Peter B. Pearman Laia Pérez‐Sorribes Baruch Rinkevich Isa‐Rita M. Russo Adélaïde Theraroz Nia E. Thomas Marjana Westergren Sven Winter Linda Laikre Alexander Kopatz |
| author_facet | Ancuta Fedorca Joachim Mergeay Adejoke O. Akinyele Tamer Albayrak Iris Biebach Alice Brambilla Pamela A. Burger Elena Buzan Ino Curik Roberta Gargiulo José A. Godoy Santiago C. González‐Martínez Christine Grossen Myriam Heuertz Sean Hoban Jo Howard‐McCombe Maria Kachamakova Peter Klinga Viktoria Köppä Elenora Neugebauer Ivan Paz‐Vinas Peter B. Pearman Laia Pérez‐Sorribes Baruch Rinkevich Isa‐Rita M. Russo Adélaïde Theraroz Nia E. Thomas Marjana Westergren Sven Winter Linda Laikre Alexander Kopatz |
| author_sort | Ancuta Fedorca |
| collection | DOAJ |
| description | ABSTRACT 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. |
| format | Article |
| id | doaj-art-8352520875824b4f815b3cce52230ff8 |
| institution | Kabale University |
| issn | 1752-4571 |
| language | English |
| publishDate | 2024-12-01 |
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| series | Evolutionary Applications |
| spelling | doaj-art-8352520875824b4f815b3cce52230ff82025-01-29T07:57:46ZengWileyEvolutionary Applications1752-45712024-12-011712n/an/a10.1111/eva.70031Dealing With the Complexity of Effective Population Size in Conservation PracticeAncuta Fedorca0Joachim Mergeay1Adejoke O. Akinyele2Tamer Albayrak3Iris Biebach4Alice Brambilla5Pamela A. Burger6Elena Buzan7Ino Curik8Roberta Gargiulo9José A. Godoy10Santiago C. González‐Martínez11Christine Grossen12Myriam Heuertz13Sean Hoban14Jo Howard‐McCombe15Maria Kachamakova16Peter Klinga17Viktoria Köppä18Elenora Neugebauer19Ivan Paz‐Vinas20Peter B. Pearman21Laia Pérez‐Sorribes22Baruch Rinkevich23Isa‐Rita M. Russo24Adélaïde Theraroz25Nia E. Thomas26Marjana Westergren27Sven Winter28Linda Laikre29Alexander Kopatz30Department of Wildlife National Institute for Research and Development in Forestry ‘Marin Dracea’ Brașov RomaniaResearch Institute for Nature and Forest Geraardsbergen BelgiumDepartment of Forest Production and Products University of Ibadan Ibadan NigeriaDepartment of Biology, Istiklal Yerleskesi Budur Mehmet Akif Ersoy University, Science and Art Faculty Burdur TürkiyeDepartment of Evolutionary Biology and Environmental Studies University of Zurich Zurich SwitzerlandDepartment of Evolutionary Biology and Environmental Studies University of Zurich Zurich SwitzerlandResearch Institute of Wildlife Ecology University of Veterinary Medicine Vienna Vienna AustriaUniversity of Primorska Faculty of Mathematics, Natural Sciences and Information Technologies Koper SloveniaDepartment of Animal Science University of Zagreb, Faculty of Agriculture Zagreb CroatiaRoyal Botanic Gardens Richmond UKDepartment of Ecology and Evolution Estación Biológica de Doñana Seville SpainINRAE Univ. Bordeaux, BIOGECO Cestas FranceWSL Swiss Federal Research Institute Birmensdorf SwitzerlandINRAE Univ. Bordeaux, BIOGECO Cestas FranceThe Center for Tree Science The Morton Arboretum Lisle Illinois USARoyal Zoological Society of Scotland Edinburgh UKInstitute of Biodiversity and Ecosystem Research at Bulgarian Academy of Sciences Sofia BulgariaTechnical University in Zvolen Zvolen SlovakiaDepartment of Zoology Stockholm University Stockholm SwedenBehavioral Ecology Research Group Leipzig University Leipzig GermanyUniversite Claude Bernard Lyon 1 Villeurbanne FranceDepartment of Plant Biology and Ecology, Faculty of Sciences and Technology University of the Basque Country UPV/EHU Leioa SpainDepartment of Ecology and Evolution Estación Biológica de Doñana Seville SpainIsrael Oceanographic and Limnological Research National Institute of Oceanography Haifa IsraelSchool of Biosciences Cardiff University Cardiff UKINRAE Univ. Bordeaux, BIOGECO Cestas FranceSchool of Biosciences Cardiff University Cardiff UKSlovenian Forestry Institute Ljubljana SloveniaResearch Institute of Wildlife Ecology University of Veterinary Medicine Vienna Vienna AustriaDepartment of Zoology Stockholm University Stockholm SwedenNorwegian Institute for Nature Research Trondheim NorwayABSTRACT 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.https://doi.org/10.1111/eva.70031biodiversity monitoringbridging science‐to‐application gapeffective number of breedersgenetic diversitygenetic indicatorsKunming‐Montreal global biodiversity framework |
| spellingShingle | Ancuta Fedorca Joachim Mergeay Adejoke O. Akinyele Tamer Albayrak Iris Biebach Alice Brambilla Pamela A. Burger Elena Buzan Ino Curik Roberta Gargiulo José A. Godoy Santiago C. González‐Martínez Christine Grossen Myriam Heuertz Sean Hoban Jo Howard‐McCombe Maria Kachamakova Peter Klinga Viktoria Köppä Elenora Neugebauer Ivan Paz‐Vinas Peter B. Pearman Laia Pérez‐Sorribes Baruch Rinkevich Isa‐Rita M. Russo Adélaïde Theraroz Nia E. Thomas Marjana Westergren Sven Winter Linda Laikre Alexander Kopatz Dealing With the Complexity of Effective Population Size in Conservation Practice Evolutionary Applications biodiversity monitoring bridging science‐to‐application gap effective number of breeders genetic diversity genetic indicators Kunming‐Montreal global biodiversity framework |
| title | Dealing With the Complexity of Effective Population Size in Conservation Practice |
| title_full | Dealing With the Complexity of Effective Population Size in Conservation Practice |
| title_fullStr | Dealing With the Complexity of Effective Population Size in Conservation Practice |
| title_full_unstemmed | Dealing With the Complexity of Effective Population Size in Conservation Practice |
| title_short | Dealing With the Complexity of Effective Population Size in Conservation Practice |
| title_sort | dealing with the complexity of effective population size in conservation practice |
| topic | biodiversity monitoring bridging science‐to‐application gap effective number of breeders genetic diversity genetic indicators Kunming‐Montreal global biodiversity framework |
| url | https://doi.org/10.1111/eva.70031 |
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