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How Important Is Informed Natal Dispersal for Modelling the Demographic and Genetic Effects of Environmental Variability?

机译:知情出生分散对于模拟环境变异的人口和遗传影响有多重要?

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摘要

Dispersal is a fundamental ecological process that influences population dynamics and genetic diversity and is therefore an important component of the models used to simulate population responses to environmental change. We considered informed dispersal in relation to settlement location, where individuals could optimise selection of settlement location with regard to per capita resource availability and investigated the importance of this type of informed dispersal for simulated demography and genetic diversity under different biological and environmental scenarios. We used an individual‐based simulation model scaled with reference to the ecology of small mammals in fire prone savanna ecosystems. We simulated demographic and genetic processes under informed and uninformed dispersal across several scenarios of life history, environmental heterogeneity (patch size and patch dynamics) and dispersal distance. The effect of the dispersal method on population size far outweighed that of dispersal distance under all combinations of habitat quality, temporal dynamics, patch size and dispersal distance modelled. The effects of habitat patch size and habitat dynamics (representing temporal change in habitat quality such as that potentially generated by disturbance) were low under most of the scenarios modelled. Informed dispersal influenced genetic diversity and differentiation, but the effects were weaker than those of dispersal distance. The genetic effect of informed dispersal occurred through the effect on genetic diversity of the overall metapopulation, while the dispersal distance influenced gene flow and genetic diversity within subpopulations. Informed dispersal was less effective in increasing population size in models of a long‐lived species with overlapping generations. This was particularly true when habitat quality was dynamic and natal dispersal choices did not result in lifelong habitat quality outcomes. Our results suggest that including informed decision‐making in dispersal in simulation models leads to different projections of demography, genetic diversity and susceptibility to environmental change.
机译:扩散是影响种群动态和遗传多样性的基本生态过程,因此是用于模拟种群对环境变化响应的模型的重要组成部分。我们考虑了与定居点位置相关的知情传播,其中个体可以根据人均资源可用性优化定居点的选择,并研究了这种知情传播对于在不同生物和环境情景下模拟人口和遗传多样性的重要性。我们使用了一个基于个体的模拟模型,该模型参考了火灾易发的稀树草原生态系统中小型哺乳动物的生态学进行缩放。我们在生活史、环境异质性(斑块大小和斑块动力学)和扩散距离的几种情景下模拟了知情和不知情扩散下的人口统计学和遗传过程。在生境质量、时间动态、斑块大小和扩散距离的所有组合下,扩散方法对种群规模的影响远远超过扩散距离的影响。在建模的大多数情景下,栖息地斑块大小和栖息地动态(代表栖息地质量的时间变化,例如可能由干扰产生的变化)的影响较低。知情传播影响遗传多样性和分化,但影响弱于传播距离。知情传播的遗传效应是通过对整个元种群的遗传多样性的影响而发生的,而扩散距离则影响亚群内的基因流动和遗传多样性。在具有重叠世代的长寿物种的模型中,知情传播在增加种群规模方面效果较差。当栖息地质量是动态的,并且出生分散选择不会导致终生栖息地质量结果时,尤其如此。我们的结果表明,在模拟模型中包括扩散中的明智决策会导致对人口、遗传多样性和对环境变化的敏感性的不同预测。

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