Abstract
Ever since Darwin’s inception of speciation via natural selection, scientists have started to develop models to capture evolutionary dynamics. Two types of models have emerged: those rooted in population genetics versus those modelling the evolutionary dynamics of phenotypic traits, often in the broader context of entangled biotic interactions among populations. An example of the first type is phylogenetic modelling, aiming at building phylogenies based on genetic affinity between organisms of different species or localities. Models of the second type combine analytic tools, such as optimality and game theory in population (and community) ecology, to provide a modelling framework for phenotypic evolution due largely to trait-mediated biotic interactions. This chapter focuses on the second type of evolutionary modelling. In particular, we introduce evolutionary optimality models, evolutionary game theory and adaptive dynamics, as well as evolutionary distribution modelling and the Price equation. These models allow us to explore a plethora of evolutionary dynamics, especially the formulation of endogenous (sympatric) diversification by adaptive dynamics, known as evolutionary branching.
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Hui, C., Landi, P., Minoarivelo, H.O., Ramanantoanina, A. (2018). Evolution. In: Ecological and Evolutionary Modelling. SpringerBriefs in Ecology. Springer, Cham. https://doi.org/10.1007/978-3-319-92150-1_3
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