Literature DB >> 11315314

Chaos and population disappearances in simple ecological models.

S J Schreiber1.   

Abstract

A class of truncated unimodal discrete-time single species models for which low or high densities result in extinction in the following generation are considered. A classification of the dynamics of these maps into five types is proven: (i) extinction in finite time for all initial densities, (ii) semistability in which all orbits tend toward the origin or a semistable fixed point, (iii) bistability for which the origin and an interval bounded away from the origin are attracting, (iv) chaotic semistability in which there is an interval of chaotic dynamics whose compliment lies in the origin's basin of attraction and (v) essential extinction in which almost every (but not every) initial population density leads to extinction in finite time. Applying these results to the Logistic, Ricker and generalized Beverton-Holt maps with constant harvesting rates, two birfurcations are shown to lead to sudden population disappearances: a saddle node bifurcation corresponding to a transition from bistability to extinction and a chaotic blue sky catastrophe corresponding to a transition from bistability to essential extinction.

Mesh:

Year:  2001        PMID: 11315314     DOI: 10.1007/s002850000070

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


  4 in total

1.  The hydra effect, bubbles, and chaos in a simple discrete population model with constant effort harvesting.

Authors:  Eduardo Liz; Alfonso Ruiz-Herrera
Journal:  J Math Biol       Date:  2011-11-10       Impact factor: 2.259

2.  Continuous versus pulse harvesting for population models in constant and variable environment.

Authors:  Elena Braverman; Reneeta Mamdani
Journal:  J Math Biol       Date:  2008-03-18       Impact factor: 2.259

3.  Analysis of dispersal effects in metapopulation models.

Authors:  Alfonso Ruiz-Herrera
Journal:  J Math Biol       Date:  2015-06-02       Impact factor: 2.259

4.  Population control methods in stochastic extinction and outbreak scenarios.

Authors:  Juan Segura; Frank M Hilker; Daniel Franco
Journal:  PLoS One       Date:  2017-02-02       Impact factor: 3.240

  4 in total

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