Anomalous diffusion of heterogeneous populations characterized by normal diffusion at the individual level.

Journal of the Royal Society, Interface
Simona HapcaIain M Young

Abstract

The characterization of the dispersal of populations of non-identical individuals is relevant to most ecological and epidemiological processes. In practice, the movement is quantified by observing relatively few individuals, and averaging to estimate the rate of dispersal of the population as a whole. Here, we show that this can lead to serious errors in the predicted movement of the population if the individuals disperse at different rates. We develop a stochastic model for the diffusion of heterogeneous populations, inspired by the movement of the parasitic nematode Phasmarhabditis hermaphrodita. Direct observations of this nematode in homogeneous and heterogeneous environments reveal a large variation in individual behaviour within the population as reflected initially in the speed of the movement. Further statistical analysis shows that the movement is characterized by temporal correlations and in a heterogeneously structured environment the correlations that occur are of shorter range compared with those in a homogeneous environment. Therefore, by using the first-order correlated random walk techniques, we derive an effective diffusion coefficient for each individual, and show that there is a significant variation in this ...Continue Reading

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Citations

May 11, 2011·Proceedings of the National Academy of Sciences of the United States of America·Sergei PetrovskiiVincent A A Jansen
Jun 3, 2011·Journal of the Royal Society, Interface·Alex JamesAndrew M Edwards
Sep 23, 2010·Journal of Theoretical Biology·Daniel CamposIsaac Llopis
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Jul 15, 2015·Journal of Mathematical Biology·Henri BerestyckiHoang-Hung Vo
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