Literature DB >> 1804452

Properties of some density-dependent integrodifference equation population models.

M Andersen1.   

Abstract

Integrodifference equations may be used as models of populations with discrete generations inhabiting continuous habitats. In this paper integrodifference equation models are formulated for annual plant populations without a seed bank; these models differ in the stage of the life cycle at which intraspecific competition acts to reduce vital rates. The models exhibit a sequence of period-doubling bifurcations leading to chaotic spatial and temporal behavior. The behavior of the models when modal dispersal distances are at the origin is compared with their behavior when these distances are displaced away from the origin. The models are capable of predicting stable, cyclical, and chaotic asymptotic behavior. They also predict that the variance of dispersal distances is an important indicator of the colonizing ability of a species.

Mesh:

Year:  1991        PMID: 1804452     DOI: 10.1016/0025-5564(91)90034-g

Source DB:  PubMed          Journal:  Math Biosci        ISSN: 0025-5564            Impact factor:   2.144


  7 in total

1.  Spatially-explicit matrix models. A mathematical analysis of stage-structured integrodifference equations.

Authors:  Frithjof Lutscher; Mark A Lewis
Journal:  J Math Biol       Date:  2003-08-20       Impact factor: 2.259

2.  Discrete-time travelling waves: ecological examples.

Authors:  M Kot
Journal:  J Math Biol       Date:  1992       Impact factor: 2.259

3.  Existence of traveling waves for integral recursions with nonmonotone growth functions.

Authors:  Bingtuan Li; Mark A Lewis; Hans F Weinberger
Journal:  J Math Biol       Date:  2008-09-12       Impact factor: 2.259

4.  A unifying theory for two-dimensional spatial redistribution kernels with applications in population spread modelling.

Authors:  Dean C Koch; Mark A Lewis; Subhash R Lele
Journal:  J R Soc Interface       Date:  2020-09-30       Impact factor: 4.118

5.  Approximating the Critical Domain Size of Integrodifference Equations.

Authors:  Jody R Reimer; Michael B Bonsall; Philip K Maini
Journal:  Bull Math Biol       Date:  2015-12-31       Impact factor: 1.758

6.  The critical domain size of stochastic population models.

Authors:  Jody R Reimer; Michael B Bonsall; Philip K Maini
Journal:  J Math Biol       Date:  2016-07-09       Impact factor: 2.259

7.  Pest and disease management: why we shouldn't go against the grain.

Authors:  Peter Skelsey; Kimberly A With; Karen A Garrett
Journal:  PLoS One       Date:  2013-09-30       Impact factor: 3.240

  7 in total

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