Influence of invasion on natural selection in dispersal-structured populations
arXiv:2204.11899 · doi:10.1016/j.physa.2022.127389
Abstract
We investigate how initial and boundary conditions influence the competition dynamics and outcome in dispersal-structured populations. The study is carried out through numerical modeling of the heterogeneous Brownian bugs model, in which individuals are characterized by diversified diffusion coefficients and compete for resources within a finite interaction range. We observed that if instead of being distributed randomly across the domain the population is initially localized within a small region, the dynamics and the stationary state of the system differ significantly. The outcome of the natural selection is determined by different competition processes, fluctuations, and spreading of the organisms.
arXiv comment16 pages, 8 figures
References in corpus (16)
- Front propagation into unstable states
- Genetic drift at expanding frontiers promotes gene segregation
- The acceleration of evolutionary spread by long-range dispersal
- Clustering, advection and patterns in a model of population dynamics with neighborhood-dependent rates
- Fluctuations impact on a pattern-forming model of population dynamics with non-local interactions
- Selective advantage of diffusing faster
- Ecological Invasion, Roughened Fronts, and a Competitor's Extreme Advance: Integrating Stochastic Spatial-Growth Models
- Competitive Brownian and Levy walkers
- Clustering determines the survivor for competing Brownian and Lévy walkers
- Pattern formation in a predator-prey system characterized by a spatial scale of interaction
- Mobility driven coexistence of living organisms
- Analysis of a spatial Lotka-Volterra model with a finite range predator-prey interaction
- Spatial patterns of competing random walkers
- Front Propagation and Clustering in the Stochastic Nonlocal Fisher Equation
- The dynamics of natural selection in dispersal-structured populations
- The Role of Dispersal in Competition Success and in the Emerging Diversity