Fedorca Ancuta, Mergeay Joachim, Akinyele Adejoke O, Albayrak Tamer, Biebach Iris, Brambilla Alice, Burger Pamela A, Buzan Elena, Curik Ino, Gargiulo Roberta, Godoy José A, González-Martínez Santiago C, Grossen Christine, Heuertz Myriam, Hoban Sean, Howard-McCombe Jo, Kachamakova Maria, Klinga Peter, Köppä Viktoria, Neugebauer Elenora, Paz-Vinas Ivan, Pearman Peter B, Pérez-Sorribes Laia, Rinkevich Baruch, Russo Isa-Rita M, Theraroz Adélaïde, Thomas Nia E, Westergren Marjana, Winter Sven, Laikre Linda, Kopatz Alexander
Department of Wildlife National Institute for Research and Development in Forestry 'Marin Dracea' Brașov Romania.
Department of Silviculture, Faculty of Silviculture and Forest Engineering Transilvania University of Brașov Brașov Romania.
Evol Appl. 2024 Dec 13;17(12):e70031. doi: 10.1111/eva.70031. eCollection 2024 Dec.
Effective population size () is one of the most important parameters in evolutionary biology, as it is linked to the long-term survival capability of species. Therefore, greatly interests conservation geneticists, but it is also very relevant to policymakers, managers, and conservation practitioners. Molecular methods to estimate 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 estimates. To address the challenges associated with estimating 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 estimation methods for conservation practitioners and decision-makers. We set out to identify datasets to evaluate the sensitivity of 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 , 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.
有效种群大小（）是进化生物学中最重要的参数之一，因为它与物种的长期生存能力相关。因此，有效种群大小极大地引起了保护遗传学家的兴趣，但它对政策制定者、管理者和保护从业者也非常重要。估计有效种群大小的分子方法依赖于各种假设，包括无迁入、随机交配、随机抽样、不存在空间遗传结构和/或突变 - 漂变平衡。然而，物种通常具有在不断变化的环境条件和人为压力下的碎片化种群。因此，估计方法的假设很少得到探讨且很少能满足，这可能导致有效种群大小的估计存在偏差且不准确。为应对与出于保护目的估计有效种群大小相关的挑战，COST行动18134“适应气候变化的生态系统的基因组生物多样性知识（G - BiKE）”组织了一次国际研讨会，该研讨会于2022年8月在罗马尼亚布拉索夫举行。首要目标是将有效种群大小估计方法的现有知识应用于保护从业者和决策者。我们着手确定数据集，以评估有效种群大小估计方法对违反基本假设的敏感性，并制定应对生物多样性监测和保护中紧迫问题的数据分析策略。参考关于有效种群大小的大量科学工作，本会议报告并非旨在详尽无遗，而是呈现方法、研讨会结果以及作为这些努力成果的一系列论文。我们旨在提供见解和机会，以帮助弥合科学研究与保护实践之间的差距。
