Literature DB >> 19425956

Are diffusion models too simple? a comparison with telegraph models of invasion.

E E Holmes.   

Abstract

Diffusion models of animal movement are often criticized because they assume animals have infinite velocity and completely random motion. To investigate the impact of these assumptions, I compared a diffusion model with a telegraph model of dispersal The telegraph model assumes organisms have finite velocity and tend to maintain their direction. I compared the models in two settings: (i) as models for dispersal of nonreproducing organisms and (ii) as models for range expansion of organisms that simultaneously disperse and reproduce (so-called reaction-diffusion or reaction-telegraph models). Both models predict very similar dispersal patterns for nonreproducing organisms. In the case of reproducing organisms, however, they predict grossly different rates of range expansion for all but a small range of parameter values. The disparity is greatest for organisms with high population growth and low movement rates. To assess the magnitude of disparity for different organisms, I used published data to estimate model parameters for the cabbage butterfly (Pieris rapae), gypsy moth (Lymantria dispar), European starling (Sturnus vulgaris), collared turtledove (Streptopelia decaocto), Black Death (Yersinia pestis), and for rabies. All six cases fell within the narrow parameter range where the diffusion and telegraph models yield indistinguishable predictions regarding the rate of range expansion.

Entities:  

Year:  1993        PMID: 19425956     DOI: 10.1086/285572

Source DB:  PubMed          Journal:  Am Nat        ISSN: 0003-0147            Impact factor:   3.926


  10 in total

1.  Symmetries and pattern formation in hyperbolic versus parabolic models of self-organised aggregation.

Authors:  Pietro-Luciano Buono; Raluca Eftimie
Journal:  J Math Biol       Date:  2014-10-15       Impact factor: 2.259

Review 2.  Hyperbolic and kinetic models for self-organized biological aggregations and movement: a brief review.

Authors:  Raluca Eftimie
Journal:  J Math Biol       Date:  2011-07-01       Impact factor: 2.259

3.  Invariance property of wave scattering through disordered media.

Authors:  Romain Pierrat; Philipp Ambichl; Sylvain Gigan; Alexander Haber; Rémi Carminati; Stefan Rotter
Journal:  Proc Natl Acad Sci U S A       Date:  2014-11-25       Impact factor: 11.205

4.  Counter-propagating wave patterns in a swarm model with memory.

Authors:  Angelika Manhart
Journal:  J Math Biol       Date:  2018-08-28       Impact factor: 2.259

Review 5.  Organization of early frog embryos by chemical waves emanating from centrosomes.

Authors:  Keisuke Ishihara; Phuong A Nguyen; Martin Wühr; Aaron C Groen; Christine M Field; Timothy J Mitchison
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2014-09-05       Impact factor: 6.237

6.  Simulation-based evaluation of two insect trapping grids for delimitation surveys.

Authors:  Hui Fang; Barney P Caton; Nicholas C Manoukis; Godshen R Pallipparambil
Journal:  Sci Rep       Date:  2022-06-30       Impact factor: 4.996

7.  Emerging predictable features of replicated biological invasion fronts.

Authors:  Andrea Giometto; Andrea Rinaldo; Francesco Carrara; Florian Altermatt
Journal:  Proc Natl Acad Sci U S A       Date:  2013-12-23       Impact factor: 11.205

8.  Predicting the benefits of banana bunchy top virus exclusion from commercial plantations in Australia.

Authors:  David C Cook; Shuang Liu; Jacqueline Edwards; Oscar N Villalta; Jean-Philippe Aurambout; Darren J Kriticos; Andre Drenth; Paul J De Barro
Journal:  PLoS One       Date:  2012-08-07       Impact factor: 3.240

9.  Biosecurity and yield improvement technologies are strategic complements in the fight against food insecurity.

Authors:  David C Cook; Rob W Fraser; Dean R Paini; Andrew C Warden; W Mark Lonsdale; Paul J De Barro
Journal:  PLoS One       Date:  2011-10-12       Impact factor: 3.240

10.  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

  10 in total

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