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量化移民对人口动态的贡献:鸟类和哺乳动物方法、证据和观点综述。

Quantifying the contribution of immigration to population dynamics: a review of methods, evidence and perspectives in birds and mammals.

机构信息

Aix Marseille Université, CNRS, IRD, Avignon Université, IMBE, Institut Méditerranéen de Biodiversité et d'Ecologie marine et continentale, Technopôle Arbois-Méditerranée, Bât. Villemin - BP 80, F-13545, Aix-en-Provence cedex 04, France.

School of Biological Sciences, University of Aberdeen, Tillydrone Avenue, Zoology Building, University of Aberdeen, AB24 2TZ, Aberdeen, U.K.

出版信息

Biol Rev Camb Philos Soc. 2019 Dec;94(6):2049-2067. doi: 10.1111/brv.12549. Epub 2019 Aug 5.

Abstract

The demography of a population is often reduced to the apparent (or local) survival of individuals and their realised fecundity within a study area defined according to logistical constraints rather than landscape features. Such demographics are then used to infer whether a local population contributes positively to population dynamics across a wider landscape context. Such a simplistic approach ignores a fundamental process underpinning population dynamics: dispersal. Indeed, it has long been accepted that immigration contributed by dispersers that emigrated from neighbouring populations may strongly influence the net growth of a local population. To date however, we lack a clear picture of how widely immigration rate varies both among and within populations, in relation to extrinsic and intrinsic ecological conditions, even for the best-studied avian and mammalian populations. This empirical knowledge gap precludes the emergence of a sound conceptual framework that ought to inform conservation and population ecology. This review, conducted on both birds and mammals, has thus three complementary objectives. First, we describe and evaluate the relative merits of methods used to quantify immigration and how they relate to widely applicable metrics. We identify two simple and unifying metrics to measure immigration: the immigration rate i defined as the ratio of the number of immigrants present in the population at time t + 1 and the total breeding population in year t, and π , the proportion of immigrants among new recruits (i.e. new breeders). Two recently developed methods are likely to provide the most valuable data on immigration in the near future: individual parentage (rather than population) assignments based on genetic sampling, and spatially explicit integrated population models combining multiple sources of demographic data (survival, fecundity and population counts). Second, we report on a systematic literature review of studies providing a quantitative measure of immigration. Although the diversity of methods employed precludes detailed analyses, it appears that the number of immigrants exceeds locally born individuals in recruitment for most avian populations (median π  = 0.57, N = 45 estimates from 37 studies), a figure twofold higher than estimated for mammalian populations (median π  = 0.26, N = 33 estimates from 11 studies). Third, recent quantitative studies reveal that immigration can be the main driver of temporal variation in population growth rates, across a wide array of demographic and spatial contexts. To what extent immigration acts as a regulatory process has however been considered only rarely to date and deserves more attention. Overall, it is likely that most populations benefit from immigrants without necessarily being sink populations. Furthermore, we suggest that quantitative estimates of immigration should be core to future demographic studies and plead for more empirical evidence about the ways in which immigration interacts with local demographic processes to shape population dynamics. Finally, we discuss how to tackle spatial population dynamics by exploring, beyond the classical source-sink framework, the extent to which populations exchange individuals according to spatial scale and type of population distribution throughout the landscape.

摘要

人口统计学通常简化为个体的明显(或局部)存活和他们在根据后勤限制而不是景观特征定义的研究区域内实现的繁殖力。然后,这些人口统计数据被用来推断当地人口是否对更广泛的景观背景下的人口动态产生积极影响。这种简单的方法忽略了人口动态的一个基本过程:扩散。事实上,长期以来人们一直认为,来自邻近种群的扩散者的移民可能会强烈影响当地种群的净增长。然而,迄今为止,我们缺乏关于移民率在种群之间和种群内部如何随外在和内在生态条件而变化的明确信息,即使对于研究最多的鸟类和哺乳动物种群也是如此。这种经验知识差距阻碍了一个应该为保护和种群生态学提供信息的合理概念框架的出现。本综述涉及鸟类和哺乳动物,具有三个互补的目标。首先,我们描述并评估了用于量化移民的方法的相对优点,以及它们与广泛适用的指标的关系。我们确定了两个简单而统一的指标来衡量移民:移民率 i 定义为种群中当前时间 t + 1 的移民数量与当年 t 的繁殖种群总数的比值,以及新招募者(即新繁殖者)中的移民比例 π 。两种最近开发的方法可能在不久的将来提供有关移民的最有价值的数据:基于遗传抽样的个体亲代(而不是种群)分配,以及结合多种人口统计数据(生存、繁殖力和人口计数)的空间明确综合人口模型。其次,我们报告了一项关于提供移民定量衡量标准的文献的系统综述。尽管所采用的方法的多样性不允许进行详细分析,但在大多数鸟类种群的招募中,移民人数超过了本地出生的个体(中位数 π = 0.57,来自 37 项研究的 45 项估计),这一数字是哺乳动物种群估计的两倍(中位数 π = 0.26,来自 11 项研究的 33 项估计)。第三,最近的定量研究表明,在广泛的人口统计和空间背景下,移民可能是人口增长率的时间变化的主要驱动因素。然而,到目前为止,移民作为一种调节过程的程度很少被考虑,值得更多关注。总的来说,大多数种群都受益于移民,而不必成为汇种群。此外,我们建议移民的定量估计应该成为未来人口统计研究的核心,并呼吁提供更多关于移民与当地人口过程相互作用以塑造人口动态的方式的经验证据。最后,我们讨论了如何通过探索超越经典源-汇框架的范围,根据景观中的空间尺度和种群分布类型,来解决空间人口动态问题。

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