Logistic population growth under random dispersal
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Abstract
Various diffusion processes employed for modelling logistic growth are briefly summarized. A discrete-time, discrete-state space stochastic process for population growth is proposed and analyzed with either Bose-Einstein or Maxwell-Boltzmann statistics for the distribution of offspring in available sites in a restricted region. A diffusion approximation is constructed, which differs from those previously employed. The logistic law is a natural deterministic analog of the diffusion process.
Keywords
Diffusion Approximation Logistic Growth Random Dispersal Exit Boundary Scripps Clinic
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© Society for Mathematical Biology 1987