Flicker Noise in a Model of Coevolving Biological Populations

Rikvold, Per Arne; Zia, R. K. P.

doi:10.1007/978-3-642-59293-5_5

Cited by 3 publications

(1 citation statement)

References 13 publications

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“…We note that a recent study of a simplified version of the Tangled Nature model by Rikvold and Zia [Rikvold and Zia, 2003, Rikvold and Zia, ] found no temporal evolution of the statistics of the model. The reason for this may be that they use a relatively short genome length L = 13 together with a very substantial simulation time of order 10 7 generations.…”

Section: E Species Abundancementioning

confidence: 51%

Network properties, species abundance and evolution in a model of evolutionary ecology

Anderson

2005

Journal of Theoretical Biology

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We study the evolution of the network properties of a populated network embedded in a genotype space characterized by either a low or a high number of potential links, with particular emphasis on the connectivity and clustering. Evolution produces two distinct types of network. When a specific genotype is only able to influence a few other genotypes, the ecosystem consists of separate noninteracting clusters (i.e. isolated compartments) in genotype space. When different types may influence a large number of other sites, the network becomes one large interconnected cluster. The distribution of interaction strengths-but not the number of connections-changes significantly with time. We find that the species abundance is only realistic for a high level of species connectivity. This suggests that real ecosystems form one interconnected whole in which selection leads to stronger interactions between the different types. Analogies with niche and neutral theory and assembly models are also considered. r

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Section: E Species Abundancementioning

confidence: 51%

Network properties, species abundance and evolution in a model of evolutionary ecology

Anderson

2005

Journal of Theoretical Biology

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Community-driven dispersal in an individual-based predator–prey model

Filotas

Grant

Parrott

et al. 2008

Ecological Complexity

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We present a spatial, individual-based predator-prey model in which dispersal is dependent on the local community. We determine species suitability to the biotic conditions of their local environment through a time and space varying fitness measure.Dispersal of individuals to nearby communities occurs whenever their fitness falls below a predefined tolerance threshold. The spatiotemporal dynamics of the model is described in terms of this threshold. We compare this dynamics with the one obtained through densityindependent dispersal and find marked differences. In the community-driven scenario, the spatial correlations in the population density do not vary in a linear fashion as we increase 2 the tolerance threshold. Instead we find the system to cross different dynamical regimes as the threshold is raised. Spatial patterns evolve from disordered, to scale-free complex patterns, to finally becoming well-organized domains. This model therefore predicts that natural populations, the dispersal strategies of which are likely to be influenced by their local environment, might be subject to complex spatiotemporal dynamics.

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Complex Behavior in Simple Models of Biological Coevolution

Rikvold

2009

Int. J. Mod. Phys. C

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We explore the complex dynamical behavior of simple predator-prey models of biological coevolution that account for interspecific and intraspecific competition for resources, as well as adaptive foraging behavior. In long kinetic Monte Carlo simulations of these models we find quite robust 1/f-like noise in species diversity and population sizes, as well as power-law distributions for the lifetimes of individual species and the durations of quiet periods of relative evolutionary stasis. In one model, based on the Holling Type II functional response, adaptive foraging produces a metastable low-diversity phase and a stable high-diversity phase.

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Flicker Noise in a Model of Coevolving Biological Populations

Cited by 3 publications

References 13 publications

Network properties, species abundance and evolution in a model of evolutionary ecology

Network properties, species abundance and evolution in a model of evolutionary ecology

Community-driven dispersal in an individual-based predator–prey model

Complex Behavior in Simple Models of Biological Coevolution

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