Institut Jacques Monod, CNRS UMR 7592, Université Paris Diderot, Paris Cité Sorbonne, F-750205, Paris, France.
IECL, CNRS UMR 7502, Université de Lorraine, Vandœuvre-lès-Nancy, F-54506, Lorraine, France.
Ecol Lett. 2019 May;22(5):767-777. doi: 10.1111/ele.13234. Epub 2019 Mar 18.
Local adaptation and dispersal evolution are key evolutionary processes shaping the invasion dynamics of populations colonizing new environments. Yet their interaction is largely unresolved. Using a single-species population model along a one-dimensional environmental gradient, we show how local competition and dispersal jointly shape the eco-evolutionary dynamics and speed of invasion. From a focal introduction site, the generic pattern predicted by our model features a temporal transition from wave-like to pulsed invasion. Each regime is driven primarily by local adaptation, while the transition is caused by eco-evolutionary feedbacks mediated by dispersal. The interaction range and cost of dispersal arise as key factors of the duration and speed of each phase. Our results demonstrate that spatial eco-evolutionary feedbacks along environmental gradients can drive strong temporal variation in the rate and structure of population spread, and must be considered to better understand and forecast invasion rates and range dynamics.
局部适应和扩散进化是塑造种群在新环境中定居的入侵动态的关键进化过程。然而,它们的相互作用在很大程度上仍未得到解决。我们使用沿一维环境梯度的单一物种种群模型,展示了局部竞争和扩散如何共同塑造生态进化动态和入侵速度。从一个焦点引入点来看,我们的模型预测的一般模式特征是从波浪状到脉冲状入侵的时间过渡。每个阶段主要由局部适应驱动,而过渡则是由扩散介导的生态进化反馈引起的。扩散的相互作用范围和成本是每个阶段持续时间和速度的关键因素。我们的研究结果表明,沿环境梯度的空间生态进化反馈可以驱动种群扩散的速度和结构发生强烈的时间变化,因此必须加以考虑,以更好地理解和预测入侵速度和范围动态。