Literature DB >> 7365329

Spatial distribution of dispersing animals.

N Shigesada.   

Abstract

A mathematical model for the dispersal of an animal population is presented for a system in which animals are initially released in the central region of a uniform field and migrate randomly, exerting mutually repulsive influences (population pressure) until they eventually become sedentary. The effect of the population pressure, which acts to enhance the dispersal of animals as their density becomes high, is modeled in terms of a nonlinear-diffusion equation. From this model, the density distribution of animals is obtained as a function of time and the initial number of released animals. The analysis of this function shows that the population ultimately reaches a nonzero stationary distribution which is confined to a finite region if both the sedentary effect and the population pressure are present. Our results are in good agreement with the experimental data on ant lions reported by Morisita, and we can also interpret some general features known for the spatial distribution of dispersing insects.

Entities:  

Mesh:

Year:  1980        PMID: 7365329     DOI: 10.1007/bf00276037

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


  9 in total

1.  The random walk model of human migration.

Authors:  N Yasuda
Journal:  Theor Popul Biol       Date:  1975-04       Impact factor: 1.570

2.  Genetics of Natural Populations. X. Dispersion Rates in Drosophila Pseudoobscura.

Authors:  T Dobzhansky; S Wright
Journal:  Genetics       Date:  1943-07       Impact factor: 4.562

3.  Letter: a note on non-linear population transport.

Authors:  W S Gurney; R M Nisbet
Journal:  J Theor Biol       Date:  1976-01       Impact factor: 2.691

4.  The regulation of inhomogeneous populations.

Authors:  W S Gurney; R M Nisbet
Journal:  J Theor Biol       Date:  1975-08       Impact factor: 2.691

5.  Random dispersal in theoretical populations.

Authors:  J G SKELLAM
Journal:  Biometrika       Date:  1951-06       Impact factor: 2.445

6.  Dissipative structure: an explanation and an ecological example.

Authors:  L A Segel; J L Jackson
Journal:  J Theor Biol       Date:  1972-12       Impact factor: 2.691

7.  Spatial segregation of interacting species.

Authors:  N Shigesada; K Kawasaki; E Teramoto
Journal:  J Theor Biol       Date:  1979-07-07       Impact factor: 2.691

8.  Some exact solutions to a non-linear diffusion problem in population genetics and combustion.

Authors:  W I Newman
Journal:  J Theor Biol       Date:  1980-07-21       Impact factor: 2.691

9.  On a diffusive prey--predator model which exhibits patchiness.

Authors:  M Mimura; J D Murray
Journal:  J Theor Biol       Date:  1978-12-07       Impact factor: 2.691

  9 in total
  4 in total

1.  Dispersal and settling of translocated populations: a general study and a New Zealand amphibian case study.

Authors:  Abbey J Trewenack; Kerry A Landman; Ben D Bell
Journal:  J Math Biol       Date:  2007-05-11       Impact factor: 2.259

2.  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

3.  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

4.  Interpreting how nonlinear diffusion affects the fate of bistable populations using a discrete modelling framework.

Authors:  Yifei Li; Pascal R Buenzli; Matthew J Simpson
Journal:  Proc Math Phys Eng Sci       Date:  2022-06-01       Impact factor: 3.213

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.