Novak Sebastian
Institute of Science and Technology (IST) Austria Am Campus 1, Klosterneuburg, 3400, Austria.
Ecol Evol. 2014 Dec;4(24):4589-97. doi: 10.1002/ece3.1289. Epub 2014 Nov 27.
Understanding the evolution of dispersal is essential for understanding and predicting the dynamics of natural populations. Two main factors are known to influence dispersal evolution: spatio-temporal variation in the environment and relatedness between individuals. However, the relation between these factors is still poorly understood, and they are usually treated separately. In this article, I present a theoretical framework that contains and connects effects of both environmental variation and relatedness, and reproduces and extends their known features. Spatial habitat variation selects for balanced dispersal strategies, whereby the population is kept at an ideal free distribution. Within this class of dispersal strategies, I explain how increased dispersal is promoted by perturbations to the dispersal type frequencies. An explicit formula shows the magnitude of the selective advantage of increased dispersal in terms of the spatial variability in the frequencies of the different dispersal strategies present. These variances are capable of capturing various sources of stochasticity and hence establish a common scale for their effects on the evolution of dispersal. The results furthermore indicate an alternative approach to identifying effects of relatedness on dispersal evolution.
理解扩散的进化对于理解和预测自然种群的动态至关重要。已知有两个主要因素会影响扩散进化:环境的时空变化以及个体之间的亲缘关系。然而,这些因素之间的关系仍未得到充分理解,并且它们通常被分开处理。在本文中,我提出了一个理论框架,该框架包含并连接了环境变化和亲缘关系的影响,并再现和扩展了它们的已知特征。空间栖息地变化选择平衡的扩散策略,从而使种群保持在理想的自由分布状态。在这类扩散策略中,我解释了扩散类型频率的扰动如何促进扩散增加。一个明确的公式显示了扩散增加的选择优势的大小,该优势取决于存在的不同扩散策略频率的空间变异性。这些方差能够捕捉各种随机源,从而为它们对扩散进化的影响建立一个共同的尺度。结果还表明了一种识别亲缘关系对扩散进化影响的替代方法。