Long range diffusion reaction model on population dynamics.
Abual-Rub, M.S. (1998)
Documenta Mathematica
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Abual-Rub, M.S. (1998)
Documenta Mathematica
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A. B. Ryabov, B. Blasius (2008)
Mathematical Modelling of Natural Phenomena
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The spatio-temporal dynamics of a population present one of the most fascinating aspects and challenges for ecological modelling. In this article we review some simple mathematical models, based on one dimensional reaction-diffusion-advection equations, for the growth of a population on a heterogeneous habitat. Considering a number of models of increasing complexity we investigate the often contrary roles of advection and diffusion for the persistence of the population. When it is possible...
Nicolas Champagnat, Amaury Lambert (2008)
Banach Center Publications
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The biological theory of adaptive dynamics proposes a description of the long-time evolution of an asexual population, based on the assumptions of large population, rare mutations and small mutation steps. Under these assumptions, the evolution of a quantitative dominant trait in an isolated population is described by a deterministic differential equation called 'canonical equation of adaptive dynamics'. In this work, in order to include the effect of genetic drift in this model, we...
Paul G. Higgs (2008)
Banach Center Publications
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Population geneticists study the variability of gene sequences within a species, whereas phylogeneticists compare gene sequences between species and usually have only one representative sequence per species. Stochastic models in population genetics are used to determine probability distributions for gene frequencies and to predict the probability that a new mutation will become fixed in a population. Stochastic models in phylogenetics describe the substitution process in the single sequence...
Gerardo-Giorda, Luca
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We study a numerical method for the diffusion of an age-structured population in a spatial environment. We extend the method proposed in [2] for linear diffusion problem, to the nonlinear case, where the diffusion coefficients depend on the total population. We integrate separately the age and time variables by finite differences and we discretize the space variable by finite elements. We provide stability and convergence results and we illustrate our approach with some numerical result. ...
Samanta, G.P. (2011)
International Journal of Stochastic Analysis
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Gard, Thomas C. (2000)
Electronic Journal of Differential Equations (EJDE) [electronic only]
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