EconPapers    
Economics at your fingertips  
 

Mathematical Analysis of a Resource-Based Dispersal Model With Gompertz Growth and Optimal Harvesting

Md. Kamrujjaman, Sayeda Irin Akter, Kamrun Nahar Keya, Md. Haider Ali Biswas, Md. Rafiul Islam and K. M. Ariful Kabir

International Journal of Differential Equations, 2025, vol. 2025, 1-16

Abstract: Gompertz dynamics offer significant applications for the growth of invasive species, cancer modeling, optimal harvesting policies, sustainable yield, and maintaining population levels due to its pattern formation in low-density cases. This paper examines a widely applicable nonhomogeneous diffusive Gompertz law with zero Neumann boundary conditions, where all coefficients are smooth periodic functions. The analytical approach explains the ubiquitous stability of a time-periodic solution and seeks the optimal strategy for harvesting under the Gompertz growth law, potentially generalizing the results for many small organisms, including plants and wild populations. The proposed model successfully investigates the dynamics with and without diffusion. Moreover, the spatio-temporal equation more precisely describes the population’s evolutionary processes using a generalized classical reaction-diffusion equation. Finally, we observe several potential applications, outlining the optimal strategies for real-world scenarios and related fields where optimal harvesting is utilized.

Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://downloads.hindawi.com/journals/ijde/2025/5543474.pdf (application/pdf)
http://downloads.hindawi.com/journals/ijde/2025/5543474.xml (application/xml)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hin:jnijde:5543474

DOI: 10.1155/ijde/5543474

Access Statistics for this article

More articles in International Journal of Differential Equations from Hindawi
Bibliographic data for series maintained by Mohamed Abdelhakeem ().

 
Page updated 2025-04-07
Handle: RePEc:hin:jnijde:5543474