WIAS Preprint No. 1118, (2006)

Invasion and adaptive evolution for individual-based spatially structured populations



Authors

  • Champagnat, Nicolas
  • Méléard, Sylvie

2010 Mathematics Subject Classification

  • 60J85 60K35 92D15 92D25 35K60

Keywords

  • spatially structured population, adaptive evolution, stochastic individual-based process, birth-and-death point process, reflected diffusion, mutation and selection, nonlinear reaction-diffusion equation, nonlocal and local interactions, clustering and polymorphism, invasion and evolution

DOI

10.20347/WIAS.PREPRINT.1118

Abstract

The interplay between space and evolution is an important issue in population dynamics, that is in particular crucial in the emergence of polymorphism and spatial patterns. Recently, biological studies suggest that invasion and evolution are closely related. Here we model the interplay between space and evolution starting with an individual-based approach and show the important role of parameter scalings on clustering and invasion. We consider a stochastic discrete model with birth, death, competition, mutation and spatial diffusion, where all the parameters may depend both on the position and on the trait of individuals. The spatial motion is driven by a reflected diffusion in a bounded domain. The interaction is modelled as a trait competition between individuals within a given spatial interaction range. First, we give an algorithmic construction of the process. Next, we obtain large population approximations, as weak solutions of nonlinear reaction-diffusion equations with Neumann's boundary conditions. As the spatial interaction range is fixed, the nonlinearity is nonlocal. Then, we make the interaction range decrease to zero and prove the convergence to spatially localized nonlinear reaction-diffusion equations, with Neumann's boundary conditions. Finally, simulations based on the microscopic individual-based model are given, illustrating the strong effects of the spatial interaction range on the emergence of spatial and phenotypic diversity (clustering and polymorphism) and on the interplay between invasion and evolution. The simulations focus on the qualitative differences between local and nonlocal

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