### Abstract

Original language | English |
---|---|

Pages (from-to) | 111-122 |

Number of pages | 12 |

Journal | Journal of the Royal Society, Interface |

Volume | 6 |

Issue number | 30 |

DOIs | |

State | Published - Jan 2009 |

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*Journal of the Royal Society, Interface*,

*6*(30), 111-122. DOI: 10.1098/rsif.2008.0261

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*Journal of the Royal Society, Interface*, vol 6, no. 30, pp. 111-122. DOI: 10.1098/rsif.2008.0261

**Anomalous diffusion of heterogeneous populations characterized by normal diffusion at the individual level.** / Hapca, Simona M.; Crawford, John W.; Young, Iain M.

Research output: Contribution to journal › Article

TY - JOUR

T1 - Anomalous diffusion of heterogeneous populations characterized by normal diffusion at the individual level

AU - Hapca,Simona M.

AU - Crawford,John W.

AU - Young,Iain M.

PY - 2009/1

Y1 - 2009/1

N2 - 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 parameter among the population that follows a gamma distribution. Based on these findings, we build a new dispersal model in which we maintain the classical assumption that individual movement can be described by normal diffusion, but due to the variability in individual dispersal rates, the diffusion coefficient is not constant at the population level and follows a continuous distribution. The conclusions and methodology presented are relevant to any heterogeneous population of individuals with widely different diffusion rates.

AB - 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 parameter among the population that follows a gamma distribution. Based on these findings, we build a new dispersal model in which we maintain the classical assumption that individual movement can be described by normal diffusion, but due to the variability in individual dispersal rates, the diffusion coefficient is not constant at the population level and follows a continuous distribution. The conclusions and methodology presented are relevant to any heterogeneous population of individuals with widely different diffusion rates.

U2 - 10.1098/rsif.2008.0261

DO - 10.1098/rsif.2008.0261

M3 - Article

VL - 6

SP - 111

EP - 122

JO - Journal of the Royal Society, Interface

T2 - Journal of the Royal Society, Interface

JF - Journal of the Royal Society, Interface

SN - 1742-5662

IS - 30

ER -