Home / Current Issue / Paper 1718992
Mathematical Analysis of a Stage-Structured Two-Patch Predator-Prey Model with Density-Dependent Prey Migration and Predator Maturation Delay
Subject area: Science,Engineering and Technology · Area of research: Applied Mathematics
DOI: 10.64388/IREV9I12-1718992
Abstract
This study develops and analyzes a stage-structured predator-prey model in which prey are distributed across a refuge patch and a predation patch, with density-dependent fear-driven movement between them, while the predator population develops through two distinct life stages separated by a fixed maturation delay τ. Predation acts exclusively on exposed prey according to a Holling type II functional response. Non-negativity of solutions is established through quasi-positivity of the vector field, and exponential boundedness is demonstrated via Gronwall’s inequality. The model admits three biologically meaningful equilibria: total extinction E_0, predator-free coexistence E_1, and interior coexistence E_2. The existence of E_1 follows from an application of the Intermediate Value Theorem to a cubic polynomial, while the coexistence equilibrium E_2 is expressed in explicit closed form for each component. The basic reproduction number R_0 is obtained by applying the next-generation matrix method with a delay-adjusted survival factor. Normalised sensitivity indices are derived analytically for every parameter; the conversion efficiency β and adult predator mortality d_2 each carry a sensitivity index of magnitude one, making them the dominant controls on R_0, whereas the delay-mortality product d_1 τ ranks as the next most influential quantity. Local asymptotic stability of E_1 and E_2 is determined through explicit Routh-Hurwitz conditions on the characteristic quasi-polynomial. Global asymptotic stability of E_1 when R_0<1 and of E_2 when R_0>1 is established using Lyapunov-Krasovskii functionals. The model undergoes a transcritical bifurcation at R_0=1, and a Hopf bifurcation of E_2 arises when τ surpasses the critical threshold τ_0^*, whose determination reduces to locating positive roots of a scalar cubic.
Keywords
Predator-Prey, Stage Structure, Maturation Delay, Prey Refuge, Fear Effect
References
[1] Lotka, A. J. (1925). Elements of Physical Biology. Williams and Wilkins, Baltimore.
[2] Volterra, V. (1926). Variazioni e fluttuazioni del numero d’individui in specie conviventi. Memorie dell’Accademia Lincei Roma, 2, 31–113.
[3] Ma, Z., Wang, S., Wang, T., and Tang, H. (2017). Stability analysis of prey-predator system with Holling type functional response and prey refuge. Advances in Difference Equations, 2017(1), 1–12.
[4] Panday, P., Pal, N., Samanta, S., and Chattopadhyay, J. (2018). Stability and bifurcation analysis of a three-species food chain model with fear. International Journal of Bifurcation and Chaos, 28(1), 1850009.
[5] Wang, W., and Chen, L. (1997). A predator-prey system with stage-structure for predator. Computers and Mathematics with Applications, 33(8), 83–91.
[6] Sundari, N. M. S., and Valliathal, M. (2021). Dynamics of the stage structured population model with predator accompanied by Michaelis-Menten Holling type functional response, delay and prey refuge. Turkish Journal of Computer and Mathematics Education, 12(2), 2280–2294.
[7] Bhattacharjee, B., and Sarmah, H. K. (2021). Stability analysis and bifurcation of a predator-prey model with stage structure and maturation delay. Communications in Mathematical Biology and Neuroscience, Article ID 62.
[8] Maiti, A. P., Dubey, B., and Tushar, J. (2017). A delayed prey-predator model with Crowley-Martin-type functional response including prey refuge. Mathematical Methods in the Applied Sciences, 40(16), 5792–5809.
[9] Rosenzweig, M. L., and MacArthur, R. H. (1963). Graphical representation and stability conditions of predator-prey interaction. American Naturalist, 97, 209–223.
[10] Pusawidjayanti, K., and Kusumasari, V. (2021). Dynamical analysis predator-prey population with Holling type II functional response. Journal of Physics: Conference Series, 1872(1), 012035.
[11] Lu, W., Xia, Y., and Bai, Y. (2020). Periodic solution of a stage-structured predator-prey model incorporating prey refuge. Mathematical Biosciences and Engineering, 17(4), 3160–3174.
[12] Kuang, Y. (1993). Delay Differential Equations with Applications in Population Dynamics. Academic Press, New York.
[13] Van den Driessche, P., and Watmough, J. (2002). Reproduction numbers and sub-threshold endemic equilibria for compartmental models of disease transmission. Mathematical Biosciences, 180, 29–48.
[14] LaSalle, J. P. (1968). Stability theory for ordinary differential equations. Journal of Differential Equations, 4(1), 57–65.
[15] Bhattacharjee, D., Roy, T., Acharjee, S., and Dutta, T. K. (2024). Predator-prey dynamics pertaining to structuralizing predator species into three stages coupled with maturation delay owing to juvenile hunting. The European Physical Journal Plus, 139(5), 441.
[16] Kalinkat, G., Rall, B. C., Uiterwaal, S. F., and Uszko, W. (2023). Empirical evidence of type III functional responses and why it remains rare. Frontiers in Ecology and Evolution, 11, 1033818.
How to cite this paper
@article{1718992,
author = {Nebert Kituni Wafula, Boniface Otieno Kwach, Samuel Bong’ang’a Apima},
title = {Mathematical Analysis of a Stage-Structured Two-Patch Predator-Prey Model with Density-Dependent Prey Migration and Predator Maturation Delay},
journal = {Iconic Research And Engineering Journals},
year = {2026},
volume = {9},
number = {12},
pages = {1876-1885},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1718992.pdf},
abstract = {This study develops and analyzes a stage-structured predator-prey model in which prey are distributed across a refuge patch and a predation patch, with density-dependent fear-driven movement between them, while the predator population develops through two distinct life stages separated by a fixed maturation delay τ. Predation acts exclusively on exposed prey according to a Holling type II functional response. Non-negativity of solutions is established through quasi-positivity of the vector field, and exponential boundedness is demonstrated via Gronwall’s inequality. The model admits three biologically meaningful equilibria: total extinction E_0, predator-free coexistence E_1, and interior coexistence E_2. The existence of E_1 follows from an application of the Intermediate Value Theorem to a cubic polynomial, while the coexistence equilibrium E_2 is expressed in explicit closed form for each component. The basic reproduction number R_0 is obtained by applying the next-generation matrix method with a delay-adjusted survival factor. Normalised sensitivity indices are derived analytically for every parameter; the conversion efficiency β and adult predator mortality d_2 each carry a sensitivity index of magnitude one, making them the dominant controls on R_0, whereas the delay-mortality product d_1 τ ranks as the next most influential quantity. Local asymptotic stability of E_1 and E_2 is determined through explicit Routh-Hurwitz conditions on the characteristic quasi-polynomial. Global asymptotic stability of E_1 when R_0<1 and of E_2 when R_0>1 is established using Lyapunov-Krasovskii functionals. The model undergoes a transcritical bifurcation at R_0=1, and a Hopf bifurcation of E_2 arises when τ surpasses the critical threshold τ_0^*, whose determination reduces to locating positive roots of a scalar cubic.},
keywords = {Predator-Prey, Stage Structure, Maturation Delay, Prey Refuge, Fear Effect},
month = {June},
doi = {https://doi.org/10.64388/IREV9I12-1718992}
}