Invasion and adaptive evolution for individual-based spatially structured populations

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• 作者：Nicolas Champagnat and Sylvie Méléard
• 关键词：Spatially structured population ; Adaptive evolution ; Stochastic individual ; based model ; Birth ; and ; death point process ; Reflected diffusion ; Mutation and selection ; Nonlinear reaction–diffusion equation ; Nonlocal interaction and local interaction ; Clustering ; Polymorphism ; Invasion and evolution
• 刊名：Journal of Mathematical Biology
• 出版年：2007
• 出版时间：August, 2007
• 年：2007
• 卷：55
• 期：2
• 页码：147-188
• 全文大小：1,363 KB
• 刊物类别：Mathematics and Statistics
• 刊物主题：Mathematics
  Mathematical Biology
  Applications of Mathematics
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1432-1416

文摘

The interplay between space and evolution is an important issue in population dynamics, that is particularly 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 phenotypic 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. 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. Finally, a discussion of three concrete examples is proposed, based on simulations of the microscopic individual-based model. These examples illustrate 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 interactions.