Institut de Biologie Intégrative et des Systèmes (IBIS), Université Laval, Québec City, Québec, Canada.
Station d'Ecologie Théorique et Expérimentale, Unité Mixte de Recherche (UMR) 5321, Centre National de la Recherche Scientifique (CNRS), Université Paul Sabatier (UPS), Moulis, France.
Mol Ecol. 2018 Oct;27(20):3976-4010. doi: 10.1111/mec.14848. Epub 2018 Sep 26.
Dispersal is a central process in ecology and evolution. At the individual level, the three stages of the dispersal process (i.e., emigration, transience and immigration) are affected by complex interactions between phenotypes and environmental factors. Condition- and context-dependent dispersal have far-reaching consequences, both for the demography and the genetic structuring of natural populations and for adaptive processes. From an applied point of view, dispersal also deeply affects the spatial dynamics of populations and their ability to respond to land-use changes, habitat degradation and climate change. For these reasons, dispersal has received considerable attention from ecologists and evolutionary biologists. Demographic and genetic methods allow quantifying non-effective (i.e., followed or not by a successful reproduction) and effective (i.e., with a successful reproduction) dispersal and to investigate how individual and environmental factors affect the different stages of the dispersal process. Over the past decade, demographic and genetic methods designed to quantify dispersal have rapidly evolved but interactions between researchers from the two fields are limited. We here review recent developments in both demographic and genetic methods to study dispersal in wild animal populations. We present their strengths and limits, as well as their applicability depending on study objectives and population characteristics. We propose a unified framework allowing researchers to combine methods and select the more suitable tools to address a broad range of important topics about the ecology and evolution of dispersal and its consequences on animal population dynamics and genetics.
扩散是生态学和进化中的一个核心过程。在个体水平上,扩散过程的三个阶段(即迁出、暂居和迁入)受到表型和环境因素之间复杂相互作用的影响。条件和环境依赖性扩散具有深远的影响,不仅对自然种群的人口动态和遗传结构,而且对适应过程都有影响。从应用的角度来看,扩散也深深地影响了种群的空间动态及其对土地利用变化、生境退化和气候变化的响应能力。由于这些原因,扩散受到生态学家和进化生物学家的广泛关注。人口统计和遗传方法允许量化非有效(即,是否伴随着成功的繁殖)和有效(即,伴随着成功的繁殖)的扩散,并研究个体和环境因素如何影响扩散过程的不同阶段。在过去的十年中,旨在量化扩散的人口统计和遗传方法迅速发展,但来自这两个领域的研究人员之间的相互作用是有限的。我们在这里回顾了最近在野生动物种群中研究扩散的人口统计和遗传方法的发展。我们介绍了它们的优点和局限性,以及它们的适用性,取决于研究目标和种群特征。我们提出了一个统一的框架,允许研究人员结合方法并选择更合适的工具来解决关于扩散的生态学和进化及其对动物种群动态和遗传的影响的广泛的重要主题。