保护实践中有效种群规模复杂性的处理。

IF 3.5 2区 生物学 Q1 EVOLUTIONARY BIOLOGY Evolutionary Applications Pub Date : 2024-12-13 DOI:10.1111/eva.70031
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
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引用次数: 0

摘要

有效种群大小(Ne)是进化生物学中最重要的参数之一,因为它关系到物种的长期生存能力。因此,Ne对保护遗传学家非常感兴趣,但它也与政策制定者、管理者和保护实践者非常相关。估计Ne的分子方法依赖于各种假设,包括无迁移、泛菌、随机抽样、缺乏空间遗传结构和/或突变漂移平衡。然而,在不断变化的环境条件和人为压力下,物种往往具有支离破碎的种群特征。因此,估计方法的假设很少得到处理,也很少得到满足,可能导致有偏差和不准确的Ne估计。为了解决以保护为目的估算Ne的挑战,成本行动18134,弹性生态系统的基因组生物多样性知识(G-BiKE)于2022年8月在罗马尼亚Brașov组织了一次国际研讨会。总体目标是为保护实践者和决策者操作当前的Ne估计方法知识。我们着手确定数据集,以评估Ne估计方法对违反基本假设的敏感性,并制定数据分析策略,以解决生物多样性监测和保护中的紧迫问题。本会议报告涉及有关Ne的综合科学工作,并不打算详尽无遗,而是打算介绍作为这些努力成果的方法、研讨会发现和论文集。我们的目标是提供见解和机会,帮助弥合科学研究和保护实践之间的差距。
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Dealing With the Complexity of Effective Population Size in Conservation Practice

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.

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来源期刊
Evolutionary Applications
Evolutionary Applications 生物-进化生物学
CiteScore
8.50
自引率
7.30%
发文量
175
审稿时长
6 months
期刊介绍: Evolutionary Applications is a fully peer reviewed open access journal. It publishes papers that utilize concepts from evolutionary biology to address biological questions of health, social and economic relevance. Papers are expected to employ evolutionary concepts or methods to make contributions to areas such as (but not limited to): medicine, agriculture, forestry, exploitation and management (fisheries and wildlife), aquaculture, conservation biology, environmental sciences (including climate change and invasion biology), microbiology, and toxicology. All taxonomic groups are covered from microbes, fungi, plants and animals. In order to better serve the community, we also now strongly encourage submissions of papers making use of modern molecular and genetic methods (population and functional genomics, transcriptomics, proteomics, epigenetics, quantitative genetics, association and linkage mapping) to address important questions in any of these disciplines and in an applied evolutionary framework. Theoretical, empirical, synthesis or perspective papers are welcome.
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