AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
PDF (245.8 KB)
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Research Article | Open Access

Dynamics of a two-state reversible population model

School of Science, Jimei University, Xiamen, Fujian 361021, China
Show Author Information

Abstract

The effect of the diffusion rate on the persistence of a nematode population with two reversible states in a spatially heterogeneous environment is investigated. In the absence of advection, it is shown that when the toxin distribution is not identically maximal, the system admits a unique positive equilibrium. As the diffusion rate tends to zero, this equilibrium converges to that of the corresponding non-spatial kinetic system, concentrating near locations where resources are abundant and toxin levels are low. As the diffusion rate tends to infinity, the equilibrium becomes spatially homogeneous and approaches a constant determined by the spatial averages of the resource, toxin, and competition coefficients. These results show that slow diffusion promotes exploitation of local favorable habitats, whereas fast diffusion smooths spatial heterogeneity, highlighting the joint influence of diffusion and environmental heterogeneity on persistence.

CLC number: 35K57, 92D25, 92D40

References

【1】
【1】
 
 
AIMS Mathematics
Pages 14547-14557

{{item.num}}

Comments on this article

Go to comment

< Back to all reports

Review Status: {{reviewData.commendedNum}} Commended , {{reviewData.revisionRequiredNum}} Revision Required , {{reviewData.notCommendedNum}} Not Commended Under Peer Review

Review Comment

Close
Close
Cite this article:
Wang L. Dynamics of a two-state reversible population model. AIMS Mathematics, 2026, 11(5): 14547-14557. https://doi.org/10.3934/math.2026596

170

Views

4

Downloads

0

Crossref

0

Web of Science

0

Scopus

Received: 26 March 2026
Revised: 24 April 2026
Accepted: 07 May 2026
Published: 15 May 2026
©2026 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0)