Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/52931
Title: Effects of environmental heterogeneity on species spreading via numerical analysis of some free boundary models
Contributor(s): Kamruzzaman, Khan  (author); Schaerf, Timothy M  (author)orcid ; Du, Yihong  (author)orcid 
Early Online Version: 2022-04
DOI: 10.3934/dcdsb.2022077
Handle Link: https://hdl.handle.net/1959.11/52931
Abstract: 

This paper investigates the effect of environmental heterogeneity on species spreading via numerical simulation of suitable reaction-diffusion models with free boundaries. We focus on the changes of long-time dynamics (establishment or extinction) and spreading speeds of the species as the parameters describing the heterogeneity of the environment are varied. For the single species model in time-periodic environment and in space-periodic environment theoretically treated in [15,16], we obtain more detailed properties here. Among other results, our numerical simulation suggests that, in a time-periodic or space-periodic environment, moderate increase of the oscillation scale enhances the chances of establishment as well as the spreading speed of the species. We also numerically examine a related model with two competing species, which was treated in [34,28,24] recently and reduces to the single species free boundary model when one of the species is absent. Our numerical results, obtained by varying the parameters in the time-periodic and space-periodic terms of the model, suggest that heterogeneity of the environment enhances the invasion of the two species (as in the single species model), although there are subtle differences of the influences felt by the two. Some intriguing phenomena revealed in our simulations suggest that heterogeneity of the environment decreases the level of predictability of the competition outcome.

Publication Type: Journal Article
Source of Publication: Discrete and Continuous Dynamical Systems. Series B
Publisher: AIMS Press
Place of Publication: United States of America
ISSN: 1553-524X
1531-3492
Fields of Research (FoR) 2020: 490410 Partial differential equations
490102 Biological mathematics
Socio-Economic Objective (SEO) 2020: 280118 Expanding knowledge in the mathematical sciences
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
Appears in Collections:Journal Article
School of Science and Technology

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