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ORGANISMAL COMPLEXITY AND THE POTENTIAL FOR EVOLUTIONARY DIVERSIFICATION
Authors:Hannes Svardal  Claus Rueffler  Michael Doebeli
Institution:1. Mathematics and Biosciences Group,?, Department of Mathematics, ?University of Vienna, , 1090 Vienna, Austria;2. Gregor Mendel Institute, ?Austrian Academy of Sciences, , 1030 Vienna, Austria;3. Animal Ecology, Department of Ecology and Genetics, ?Uppsala University, , 75236 Uppsala, Sweden;4. Department of Zoology, ?University of British Columbia, , Vancouver, BC V6T 1Z4 Canada;5. Department of Mathematics, ?University of British Columbia, , Vancouver, BC V6T 1Z4 Canada
Abstract: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.
Keywords:Adaptive dynamics  consumer‐resource model  evolutionary branching  frequency dependence  genetic polymorphism  multidimensional trait space
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