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article · Evolutionary Applications

Dealing With the Complexity of Effective Population Size in Conservation Practice

202418 citationsOpen accessUniversity of Ibadan

Abstract

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

Research topics

  • Genetic diversity and population structure
  • Species Distribution and Climate Change
  • Identification and Quantification in Food

Sustainable Development Goals

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DOI: 10.1111/eva.70031

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