Department of Natural Resources, Cornell University, Ithaca NY 14853, USA.
Conserv Biol. 2011 Jun;25(3):438-49. doi: 10.1111/j.1523-1739.2010.01637.x. Epub 2011 Feb 1.
Effective population size (N(e)) determines the strength of genetic drift in a population and has long been recognized as an important parameter for evaluating conservation status and threats to genetic health of populations. Specifically, an estimate of N(e) is crucial to management because it integrates genetic effects with the life history of the species, allowing for predictions of a population's current and future viability. Nevertheless, compared with ecological and demographic parameters, N(e) has had limited influence on species management, beyond its application in very small populations. Recent developments have substantially improved N(e) estimation; however, some obstacles remain for the practical application of N(e) estimates. For example, the need to define the spatial and temporal scale of measurement makes the concept complex and sometimes difficult to interpret. We reviewed approaches to estimation of N(e) over both long-term and contemporary time frames, clarifying their interpretations with respect to local populations and the global metapopulation. We describe multiple experimental factors affecting robustness of contemporary N(e) estimates and suggest that different sampling designs can be combined to compare largely independent measures of N(e) for improved confidence in the result. Large populations with moderate gene flow pose the greatest challenges to robust estimation of contemporary N(e) and require careful consideration of sampling and analysis to minimize estimator bias. We emphasize the practical utility of estimating N(e) by highlighting its relevance to the adaptive potential of a population and describing applications in management of marine populations, where the focus is not always on critically endangered populations. Two cases discussed include the mechanisms generating N(e) estimates many orders of magnitude lower than census N in harvested marine fishes and the predicted reduction in N(e) from hatchery-based population supplementation.
有效种群大小(N(e))决定了种群中遗传漂变的强度,长期以来一直被认为是评估种群保护状况和遗传健康威胁的重要参数。具体来说,N(e)的估计对于管理至关重要,因为它将遗传效应与物种的生活史相结合,从而可以预测种群当前和未来的生存能力。然而,与生态和人口参数相比,N(e)对物种管理的影响有限,除了在非常小的种群中应用之外。最近的发展极大地提高了 N(e)的估计;然而,在实际应用 N(e)估计值时,仍然存在一些障碍。例如,需要定义测量的时空尺度,这使得概念变得复杂,有时难以解释。我们回顾了长期和当代时间框架内 N(e)估计的方法,阐明了它们与当地种群和全球复合种群的关系。我们描述了影响当代 N(e)估计稳健性的多种实验因素,并建议可以结合不同的采样设计来比较 N(e)的大量独立测量值,以提高结果的置信度。具有中等基因流动的大种群对当代 N(e)的稳健估计构成了最大的挑战,需要仔细考虑采样和分析,以最小化估计器偏差。我们通过强调估计 N(e)对种群适应潜力的实际效用来强调其重要性,并描述了在海洋种群管理中的应用,其中重点并不总是放在濒临灭绝的种群上。讨论的两个案例包括产生比渔获物种群数量低几个数量级的 N(e)估计的机制,以及从基于孵化场的种群补充中预测的 N(e)减少。