title: Individual-based chaos: extensions of the discrete logistic model.
abstract: Simple models of density-dependent population growth such as the discrete logistic map provide powerful demonstrations of complex population dynamics. Yet it is unclear whether the dynamics observed in such idealized systems would be present, under realistic conditions, in the context of demographic stochasticity, which is well known to exist in finite natural populations. Here, using a set of simple, individual-based models (IBM's) and their population-level iterative map counterparts, we computationally investigate the contribution of demographic stochasticity to density-dependent population dynamics in a simple model of seed production and recruitment. Notably, for a sufficiently large lattice, even in the presence of demographic stochasticity, many of the qualitative features of these idealized maps - including bifurcations - are still present. Demographic stochasticity and the constraints imposed by a finite lattice size appear to produce mixed dynamics that are partially stochastic, yet qualitatively similar to the deterministic models. The mechanistic assumptions and lattice sizes required to generate these dynamics cast doubt on whether they might be observable in annual plant populations. Nevertheless, we cannot rule out the theoretical possibility that such dynamics might be observable in ecological communities having similar mechanistic properties.
authors.affiliation: California Institute of Technology, USA.
authors.forename: William T
authors.initials: WT
authors.lastname: Gibson
authors.forename: William G
authors.initials: WG
authors.lastname: Wilson
mesh_terms: D017753:Ecosystem; D016015:Logistic Models; D008954:Models, Biological; D017711:Nonlinear Dynamics; D063245:Plant Development / Q000502:physiology*; D011157:Population Dynamics; D012639:Seeds / Q000502:physiology*; D013269:Stochastic Processes
keywords: Chaos; Demographic stochasticity; Individual-based model (IBM); Logistic growth; Population dynamics