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ORGANISMAL COMPLEXITY AND THE POTENTIAL FOR EVOLUTIONARY DIVERSIFICATION

机译:组织的复杂性和进化多样化的潜力

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We present two theoretical approaches to investigate whether organismal complexity, defined as the number of quantitative traits determining fitness, and the potential for adaptive diversification are correlated. The first approach is independent of any specific ecological model and based on curvature properties of the fitness landscape as a function of the dimension of the trait space. This approach indeed suggests a positive correlation between complexity and diversity. An assumption made in this first approach is that the potential for any pair of traits to interact in their effect on fitness is independent of the dimension of the trait space. In the second approach, we circumvent making this assumption by analyzing the evolutionary dynamics in an explicit consumer-resource model in which the shape of the fitness landscape emerges from the underlying mechanistic ecological model. In this model, consumers are characterized by several quantitative traits and feed on a multidimensional resource distribution. The consumer's feeding efficiency on the resource is determined by the match between consumer phenotype and resource item. This analysis supports a positive correlation between the complexity of the evolving consumer species and its potential to diversify with the additional insight that also increasing resource complexity facilitates diversification.
机译:我们提出了两种理论方法来调查是否有机体复杂性(定义为决定适应性的数量性状数量)与适应性多样化的潜力是否相关。第一种方法独立于任何特定的生态模型,并且基于健身景观的曲率特性作为特征空间维数的函数。这种方法确实暗示了复杂性和多样性之间的正相关。在第一种方法中做出的假设是,任何一对特征在对适应性的影响中相互作用的可能性与特征空间的大小无关。在第二种方法中,我们通过分析显式消费者资源模型中的演化动力学来绕开这个假设,在该模型中,适应性景观的形状从底层的机械生态模型中得出。在此模型中,消费者具有几个定量特征,并以多维资源分布为食。消费者对资源的喂养效率取决于消费者表型与资源项目之间的匹配。该分析通过不断增加的资源复杂性促进多样化的额外见解,支持不断发展的消费者物种的复杂性与其多样化潜力之间的正相关关系。

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