Analysis of a Pest-Natural Enemy Model with Time Delay in Impulsive Releasing Natural Enemy
Research Article  ·  Published: 26 November 2025
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Journal of Mathematics and Interdisciplinary Applications
Volume 1, Issue 1, 2025: 20-28
Research Article Open Access

Analysis of a Pest-Natural Enemy Model with Time Delay in Impulsive Releasing Natural Enemy

1 School of Mathematics, Institute of Science, Suranaree University of Technology, Nakhon, Ratchasima 30000, Thailand
* Corresponding Author: Hui Jiao, [email protected]
Volume 1, Issue 1

Abstract

Releasing amount of natural enemy generally depends on its population data, while impulsive releasing natural enemy usually brings about a time delay after the data is observed in the practical pest management. Therefore, it is very important for pest managers to assess the impact of the time delay in pest management. In this paper, we construct a pest-natural enemy model with time delay in impulsive releasing natural enemy. We prove that the pest-free periodic solution of model $(2.1)$ is globally attractive with $\eta \tau<\frac{\zeta y^{\ast}(1-e^{-\lambda \tau})}{\lambda}$. We also prove that model $(2.1)$ is permanent with $\eta \tau>\frac{\zeta y^{\ast}(1-e^{-\lambda \tau})}{\lambda}$. Further influence of the time delay in impulsive releasing on dynamical behaviors of model $(2.1)$ is investigated by numerical simulations. Our results provide reliable tactics for pest management.

Graphical Abstract

Analysis of a Pest-Natural Enemy Model with Time Delay in Impulsive Releasing Natural Enemy

Keywords

pest-natural enemy model time delay impulsive releasing pest management pest-free

Data Availability Statement

Data will be made available on request.

Funding

This work was supported in part by the National Natural Science Foundation of China under Grant 12261018; in part by the Universities Key Laboratory of System Modeling and Data Mining in Guizhou Province under Grant 2023013; in part by the Innovation Exploration and Academic New Seedling Project of Guizhou University of Finance and Economics under Grant 2024XSXMA08.

Conflicts of Interest

The authors declare no conflicts of interest.

Ethical Approval and Consent to Participate

Not applicable.

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Cited By (1)

  1. Shirui Zhang, Jianjun Jiao, Guiyu Wu, Bingying Gao. Dynamics of a delayed stage-structured fishery management model with impulsive nonlinear harvesting and impulsive birth. AIMS Mathematics, 2026 , 11 (6).
    [CrossRef]
* Citation data provided by Crossref Cited-by.

Cite This Article

APA Style
Jiao, H., & Meleshko, S. (2025). Analysis of a Pest-Natural Enemy Model with Time Delay in Impulsive Releasing Natural Enemy. Journal of Mathematics and Interdisciplinary Applications, 1(1), 20–28. https://doi.org/10.62762/JMIA.2025.442174
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TY  - JOUR
AU  - Jiao, Hui
AU  - Meleshko, Sergey
PY  - 2025
DA  - 2025/11/26
TI  - Analysis of a Pest-Natural Enemy Model with Time Delay in Impulsive Releasing Natural Enemy
JO  - Journal of Mathematics and Interdisciplinary Applications
T2  - Journal of Mathematics and Interdisciplinary Applications
JF  - Journal of Mathematics and Interdisciplinary Applications
VL  - 1
IS  - 1
SP  - 20
EP  - 28
DO  - 10.62762/JMIA.2025.442174
UR  - https://www.icck.org/article/abs/JMIA.2025.442174
KW  - pest-natural enemy model
KW  - time delay
KW  - impulsive releasing
KW  - pest management
KW  - pest-free
AB  - Releasing amount of natural enemy generally depends on its population data, while impulsive releasing natural enemy usually brings about a time delay after the data is observed in the practical pest management. Therefore, it is very important for pest managers to assess the impact of the time delay in pest management. In this paper, we construct a pest-natural enemy model with time delay in impulsive releasing natural enemy. We prove that the pest-free periodic solution of model $(2.1)$ is globally attractive with $\eta \tau\frac{\zeta y^{\ast}(1-e^{-\lambda \tau})}{\lambda}$. Further influence of the time delay in impulsive releasing on dynamical behaviors of model $(2.1)$ is investigated by numerical simulations. Our results provide reliable tactics for pest management.
SN  - 3070-393X
PB  - Institute of Central Computation and Knowledge
LA  - English
ER  - 
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Compatible with LaTeX, BibTeX, and other reference managers
@article{Jiao2025Analysis,
  author = {Hui Jiao and Sergey Meleshko},
  title = {Analysis of a Pest-Natural Enemy Model with Time Delay in Impulsive Releasing Natural Enemy},
  journal = {Journal of Mathematics and Interdisciplinary Applications},
  year = {2025},
  volume = {1},
  number = {1},
  pages = {20-28},
  doi = {10.62762/JMIA.2025.442174},
  url = {https://www.icck.org/article/abs/JMIA.2025.442174},
  abstract = {Releasing amount of natural enemy generally depends on its population data, while impulsive releasing natural enemy usually brings about a time delay after the data is observed in the practical pest management. Therefore, it is very important for pest managers to assess the impact of the time delay in pest management. In this paper, we construct a pest-natural enemy model with time delay in impulsive releasing natural enemy. We prove that the pest-free periodic solution of model \$(2.1)\$ is globally attractive with \$\eta \tau\frac{\zeta y^{\ast}(1-e^{-\lambda \tau})}{\lambda}\$. Further influence of the time delay in impulsive releasing on dynamical behaviors of model \$(2.1)\$ is investigated by numerical simulations. Our results provide reliable tactics for pest management.},
  keywords = {pest-natural enemy model, time delay, impulsive releasing, pest management, pest-free},
  issn = {3070-393X},
  publisher = {Institute of Central Computation and Knowledge}
}

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CC BY Copyright © 2025 by the Author(s). Published by Institute of Central Computation and Knowledge. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made.
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