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The co-evolution of multiply-informed dispersal: information transfer across landscapes from neighbors and immigrants

机译:繁殖的分散的共同演变:从邻居和移民的景观中的信息转移

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摘要

Dispersal plays a key role in natural systems by shaping spatial population and evolutionary dynamics. Dispersal has been largely treated as a population process with little attention to individual decisions and the influence of information use on the fitness benefits of dispersal despite clear empirical evidence that dispersal behavior varies among individuals. While information on local density is common, more controversial is the notion that indirect information use can easily evolve. We used an individual-based model to ask under what conditions indirect information use in dispersal will evolve. We modeled indirect information provided by immigrant arrival into a population which should be linked to overall metapopulation density. We also modeled direct information use of density which directly impacts fitness. We show that immigrant-dependent dispersal evolves and does so even when density dependent information is available. Use of two sources of information also provides benefits at the metapopulation level by reducing extinction risk and prolonging the persistence of populations. Our results suggest that use of indirect information in dispersal can evolve under conservative conditions and thus could be widespread.
机译:分散通过塑造空间种群和进化动力学在自然系统中发挥关键作用。尽管有明确的经验证据表明分散行为在个体之间存在差异,但分散处理在很大程度上已被视为一种人口过程,很少关注个人决策以及信息使用对分散适应性的影响。尽管有关局部密度的信息很普遍,但有关间接信息使用可以轻易发展的观点更具争议。我们使用了基于个人的模型来询问在离散条件下使用间接信息会在什么条件下发展。我们对移民进入人口所提供的间接信息进行了建模,该信息应与总体人口密度相关。我们还对直接影响密度的直接信息使用建模。我们表明,即使依赖密度的信息可用,依赖移民的散布也会发生变化。两种信息来源的使用还通过减少灭绝风险和延长种群的持久性而在种群扩散水平上提供了好处。我们的结果表明,在分散条件下使用间接信息可以在保守条件下发展,因此可能会广泛传播。

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