Literature DB >> 26650504

How animals move along? Exactly solvable model of superdiffusive spread resulting from animal's decision making.

Paulo F C Tilles1,2, Sergei V Petrovskii3.   

Abstract

Patterns of individual animal movement have been a focus of considerable attention recently. Of particular interest is a question how different macroscopic properties of animal dispersal result from the stochastic processes occurring on the microscale of the individual behavior. In this paper, we perform a comprehensive analytical study of a model where the animal changes the movement velocity as a result of its behavioral response to environmental stochasticity. The stochasticity is assumed to manifest itself through certain signals, and the animal modifies its velocity as a response to the signals. We consider two different cases, i.e. where the change in the velocity is or is not correlated to its current value. We show that in both cases the early, transient stage of the animal movement is super-diffusive, i.e. ballistic. The large-time asymptotic behavior appears to be diffusive in the uncorrelated case but super-ballistic in the correlated case. We also calculate analytically the dispersal kernel of the movement and show that, whilst it converge to a normal distribution in the large-time limit, it possesses a fatter tail during the transient stage, i.e. at early and intermediate time. Since the transients are known to be highly relevant in ecology, our findings may indicate that the fat tails and superdiffusive spread that are sometimes observed in the movement data may be a feature of the transitional dynamics rather than an inherent property of the animal movement.

Keywords:  Composite random walk; Individual animal movement; Movement behavior; Super-diffusion

Mesh:

Year:  2015        PMID: 26650504     DOI: 10.1007/s00285-015-0947-3

Source DB:  PubMed          Journal:  J Math Biol        ISSN: 0303-6812            Impact factor:   2.259


  18 in total

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Authors:  Vincent A A Jansen; Alla Mashanova; Sergei Petrovskii
Journal:  Science       Date:  2012-02-24       Impact factor: 47.728

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Authors:  D Brockmann; L Hufnagel; T Geisel
Journal:  Nature       Date:  2006-01-26       Impact factor: 49.962

3.  Scaling laws of marine predator search behaviour.

Authors:  David W Sims; Emily J Southall; Nicolas E Humphries; Graeme C Hays; Corey J A Bradshaw; Jonathan W Pitchford; Alex James; Mohammed Z Ahmed; Andrew S Brierley; Mark A Hindell; David Morritt; Michael K Musyl; David Righton; Emily L C Shepard; Victoria J Wearmouth; Rory P Wilson; Matthew J Witt; Julian D Metcalfe
Journal:  Nature       Date:  2008-02-28       Impact factor: 49.962

4.  Dispersal in a statistically structured population: fat tails revisited.

Authors:  Sergei Petrovskii; Andrew Morozov
Journal:  Am Nat       Date:  2009-02       Impact factor: 3.926

5.  Fundamental insights into the random movement of animals from a single distance-related statistic.

Authors:  P Nouvellet; J P Bacon; D Waxman
Journal:  Am Nat       Date:  2009-10       Impact factor: 3.926

6.  Lévy walks evolve through interaction between movement and environmental complexity.

Authors:  Monique de Jager; Franz J Weissing; Peter M J Herman; Bart A Nolet; Johan van de Koppel
Journal:  Science       Date:  2011-06-24       Impact factor: 47.728

7.  Local movement in herbivorous insects: applying a passive diffusion model to mark-recapture field experiments.

Authors:  P M Kareiva
Journal:  Oecologia       Date:  1983-03       Impact factor: 3.225

8.  Models of dispersal in biological systems.

Authors:  H G Othmer; S R Dunbar; W Alt
Journal:  J Math Biol       Date:  1988       Impact factor: 2.259

9.  Displaced honey bees perform optimal scale-free search flights.

Authors:  Andrew M Reynolds; Alan D Smith; Randolf Menzel; Uwe Greggers; Donald R Reynolds; Joseph R Riley
Journal:  Ecology       Date:  2007-08       Impact factor: 5.499

10.  Mussels realize Weierstrassian Lévy walks as composite correlated random walks.

Authors:  Andy M Reynolds
Journal:  Sci Rep       Date:  2014-03-18       Impact factor: 4.379

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  2 in total

1.  A random walk description of individual animal movement accounting for periods of rest.

Authors:  Paulo F C Tilles; Sergei V Petrovskii; Paulo L Natti
Journal:  R Soc Open Sci       Date:  2016-11-23       Impact factor: 2.963

2.  A random acceleration model of individual animal movement allowing for diffusive, superdiffusive and superballistic regimes.

Authors:  Paulo F C Tilles; Sergei V Petrovskii; Paulo L Natti
Journal:  Sci Rep       Date:  2017-10-30       Impact factor: 4.379

  2 in total

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