An Analysis of a Semelparous Population Model with Density-Dependent Fecundity and Density-Dependent Survival Probabilities

Author

Wikan, Arild

Source

Journal of Applied Mathematics

Issue

Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-14, 14 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2017-12-17

Country of Publication

Egypt

No. of Pages

14

Main Subjects

Mathematics

Abstract EN

A discrete age-structured semelparous Leslie matrix model where density dependence is included both in the fecundity and in the survival probabilities is analysed.

Depending on strength of density dependence, we show in the precocious semelparous case that the nonstationary dynamics may indeed be rich, ranging from SYC (a dynamical state where the whole population is in one age class only) dynamics to cycles of low period where all age classes are populated.

Quasiperiodic and chaotic dynamics have also been identified.

Moreover, outside parameter regions where SYC dynamics dominates, we prove that the transfer from stability to instability goes through a supercritical Neimark−Sacker bifurcation, and it is further shown that when the population switches from possessing a precocious to a delayed semelparous life history both stability properties and the possibility of periodic dynamics become weaker.

American Psychological Association (APA)

Wikan, Arild. 2017. An Analysis of a Semelparous Population Model with Density-Dependent Fecundity and Density-Dependent Survival Probabilities. Journal of Applied Mathematics،Vol. 2017, no. 2017, pp.1-14.
https://search.emarefa.net/detail/BIM-1170031

Modern Language Association (MLA)

Wikan, Arild. An Analysis of a Semelparous Population Model with Density-Dependent Fecundity and Density-Dependent Survival Probabilities. Journal of Applied Mathematics No. 2017 (2017), pp.1-14.
https://search.emarefa.net/detail/BIM-1170031

American Medical Association (AMA)

Wikan, Arild. An Analysis of a Semelparous Population Model with Density-Dependent Fecundity and Density-Dependent Survival Probabilities. Journal of Applied Mathematics. 2017. Vol. 2017, no. 2017, pp.1-14.
https://search.emarefa.net/detail/BIM-1170031

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1170031