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干扰会导致定向移动者和随机移动者中强化与分散的对比性演化。

Disturbance induces the contrasting evolution of reinforcement and dispersiveness in directed and random movers.

作者信息

Armsworth Paul R, Roughgarden Joan E

机构信息

Department of Biological Sciences, Stanford University, Stanford, California 94305, USA.

出版信息

Evolution. 2005 Oct;59(10):2083-96.

Abstract

Spatial models commonly assume that dispersal rates are constant across individuals and environments and that movement directions are unbiased. These random-movement assumptions are inadequate to capture the range of dispersal behaviors revealed in diverse case studies. We examine an alternative assumption of directed movement, in which dispersal is a conditional and directional response by individuals to varying environmental conditions. Specifically, we assume individuals bias their movements to climb spatial fitness gradients. We compare the consequences of random and directed movement for local adaptation, the evolution of dispersal, and the reinforcement process. The implications of each movement strategy depend on the nature of environmental disturbance, and we examine the outcomes for undisturbed environments and with uncorrelated and autocorrelated disturbances. Both movement strategies offer advantages over sedentary life histories by allowing colonization of suitable habitats. However, random movement eventually becomes costly in stable environments because it inhibits local adaptation. In contrast, directed movement accelerates local adaptation. In disturbed environments, random movement offers bet-spreading advantages by distributing offspring across habitats. Despite being a more targeted strategy, an intermediate amount of directed movement provides similar bet-spreading benefits. These fitness consequences have implications for the evolution of dispersal. Dispersiveness is lost by random movers in undisturbed environments, is maintained in polymorphism with infrequent disturbances, and evolves when disturbances are uncorrelated. Directed movement becomes selectively neutral in the absence of disturbance, evolves when disturbances are autocorrelated, and is maintained in polymorphism with uncorrelated disturbances. Disturbance also determines the outcome of the reinforcement process for each strategy. For example, directed movers show no progress toward reinforcement in undisturbed environments, evolve random mating with uncorrelated disturbances, and can evolve assortative mating in infrequently disturbed environments.

摘要

空间模型通常假定扩散率在个体和环境中是恒定的,并且移动方向是无偏差的。这些随机移动假设不足以捕捉各种案例研究中揭示的扩散行为范围。我们研究了一种定向移动的替代假设,即扩散是个体对不同环境条件的有条件和定向反应。具体而言,我们假设个体偏向于朝着空间适合度梯度攀爬的方向移动。我们比较了随机移动和定向移动对局部适应、扩散进化以及强化过程的影响。每种移动策略的影响取决于环境干扰的性质,我们研究了在未受干扰的环境以及存在不相关和自相关干扰情况下的结果。两种移动策略都通过允许个体在适宜栖息地定殖,比定居生活史具有优势。然而,在稳定环境中随机移动最终会变得代价高昂,因为它会抑制局部适应。相比之下,定向移动会加速局部适应。在受干扰的环境中,随机移动通过将后代分布在不同栖息地而具有分散风险的优势。尽管定向移动是一种更具针对性的策略,但适度的定向移动也能提供类似的分散风险益处。这些适合度结果对扩散进化具有影响。在未受干扰的环境中,随机移动者会失去扩散性;在干扰不频繁的情况下,扩散性以多态性维持;当干扰不相关时,扩散性会进化。在没有干扰的情况下,定向移动变得具有选择中性;当干扰自相关时,定向移动会进化;当干扰不相关时,定向移动以多态性维持。干扰还决定了每种策略强化过程的结果。例如,在未受干扰的环境中,定向移动者在强化方面没有进展;在干扰不相关时,会进化为随机交配;在干扰不频繁的环境中,会进化为选型交配。

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