Extinction and persistence in stochastic predator population density-dependent predator-prey model with jumps
DOI:
https://doi.org/10.17721/1812-5409.2023/1.4Keywords:
stochastic predator-prey model, predator density dependence, extinction, non-persistence in the mean, weak and strong persistence in the meanAbstract
The non-autonomous stochastic density dependent predator-prey model with Holling-type II functional response disturbed by white noise, centered and non-centered Poisson noises is investigated. Corresponding system of stochastic differential equations has a unique, positive, global (no explosions in a finite time) solution. Sufficient conditions are obtained for extinction, non-persistence in the mean, weak and strong persistence in the mean of a predator and prey population densities in the considered stochastic predator-prey model.
Pages of the article in the issue: 30 - 36
Language of the article: English
References
IANNELLI, M., PUGLIESE, A. (2014) An Introduction to Mathematical Population Dynamics. Springer.
BORYSENKO, O. and BORYSENKO, OLG. (2022) A stochastic predator-prey model that depends on the population density of the predator. Bulletin of Taras Shevchenko National University of Kyiv, Series: Physics & Mathematics. no.4. pp.11-17.
BORYSENKO, OLG. and BORYSENKO,O. (2021) Long-time behavior of a non-autonomous stochastic predator-prey model with jumps Modern Stochastics: Theory and Applications. 8(1). p.17-39.
BORYSENKO, O. and BORYSENKO, OLG. (2022) Long-Time Behavior of Stochastic Models of Population Dynamics with Jumps. Stochastic Processes: Fundamentals and Emerging Applications. Ed. by Mikhail Moklyachuk. New York, NY: Nova Science Publishers. pp. 37-63.
BORYSENKO, O.D. and BORYSENKO, D.O. (2018) Persistence and extinction in stochastic nonautonomous logistic model of population dynamics. Theory of Probability and Mathematical Statistics. 2(99), pp.63-70.
LIPSTER, R. (1980) A strong law of large numbers for local martingales. Stochastics. vol. 3. pp. 217-228.
LIU, M., WANGA, K. (2011) Persistence and extinction in stochastic non-autonomous logistic systems. Journal of Mathematical Analysis and Applications. 375, pp. 443-457.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 The Author(s)
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).