Stability Analysis of Rice-Rat-Snake Population Dynamics Using Three Species Lotka-Volterra Model

Authors

DOI:

https://doi.org/10.21831/jsd.v14i2.93868

Keywords:

Population dynamics, Lotka–Volterra model, Stability analysis, Biological control, Numerical simulation

Abstract

Rice production is often threatened by rat infestations, which can significantly reduce yield and disrupt food security. Incorporating biological predators, such as snakes, is considered a potential natural solution to suppress rat populations. This study aims to analyze the population stability of a rice-rat-snake ecological system using a mathematical modeling approach. A three-species Lotka–Volterra model is formulated to represent the growth of rice as the primary resource, rats as consumers, and snakes as predators. A literature study method is used to construct the model structure and assign biologically reasonable parameters. Stability analysis is performed by determining equilibrium points and examining their local stability through Jacobian evaluation. Numerical simulations are then carried out to illustrate the temporal behavior of the interacting populations. The results reveal the existence of a stable coexistence equilibrium, indicating that all three species can persist in balance under suitable ecological conditions. The simulation outputs show damped oscillatory dynamics that gradually converge to this equilibrium state. These findings suggest that the presence of snakes as natural predators plays a beneficial role in controlling rat populations, thereby supporting the maintenance of stable rice yields. This study highlights the potential contribution of biological control in enhancing the sustainability of rice farming ecosystems.

References

Bassim, W. B., Salem, A. J., & Ali, A. H. (2024). A new analytical study of prey–predator dynamical systems involving the effects of Hide-and-Escape and predation skill augmentation. Results in Control and Optimization, 16(100449).

Din, Q., Naseem, R. A., & Shabbir, M. S. (2024). Predator–Prey Interaction with Fear Effects: Stability, Bifurcation and Two-Parameter Analysis Incorporating Complex and Fractal Behavior. Fractal and Fractional, 8(4). https://doi.org/10.3390/fractalfract8040221

Diz-Pita, É., & Otero-Espinar, M. V. (2021). Predator–prey models: A review of some recent advances. Mathematics, 9(15). https://doi.org/10.3390/math9151783

Ghosh, D., & Borzee, A. (2024). Biological pest regulation can benefit from diverse predation modes. In Royal Society Open Science (Vol. 11, Number 9). Royal Society Publishing. https://doi.org/10.1098/rsos.240535

Gómez-Hernández, E. A., Moreno-Gómez, F. N., Córdova-Lepe, F., Bravo-Gaete, M., Velásquez, N. A., & Benítez, H. A. (2024). Eco-epidemiological predator–prey models: A review of models in ordinary differential equations. Ecological Complexity, 57(101071).

Grunert, K., Holden, H., Jakobsen, E. R., & Stenseth, N. C. (2021). Evolutionarily stable strategies in stable and periodically fluctuating populations: The Rosenzweig-MacArthur predator-prey model. Proceedings of the National Academy of Sciences (PNAS), 118(4). https://doi.org/10.1073/pnas.2017463118/-/DCSupplemental.y

Khalighi, M., Eftekhari, L., Hosseinpour, S., & Lahti, L. (2021). Three-species lotka-volterra model with respect to caputo and caputo-fabrizio fractional operators. Symmetry, 13(3), 1–22. https://doi.org/10.3390/sym13030368

Mandal, S., Oberst, S., Biswas, M. H. A., & Islam, M. S. (2023). Dynamic analysis and control of a rice-pest system under transcritical bifurcations. PeerJ, 11. https://doi.org/10.7717/peerj.16083

Noor, H. M., Burhanuddin, M., Salim, H., Asrif, N. A., Jamian, S., & Azhar, B. (2023). Pest Rodents’ Responses to Rice Farming in Northern Peninsular Malaysia. Agronomy, 13(1). https://doi.org/10.3390/agronomy13010085

Panja, P. (2023). Dynamics of a crop, pest and predator model in an agricultural system. Results in Control and Optimization, 12.

Rahman, H. A., Bahar, A., & Rosli, N. (2013). Jurnal Teknologi Parameter Estimation of Lotka-Volterra Model : A Two-Step Model. Jurnal Teknologi, 63(2), 2180–3722. www.jurnalteknologi.utm.my

Rahmawati, R., & Savitri, D. (2023). Model Lotka-Volterra Yang Mempertimbangkan Efek Ketakutan Pada Prey Dengan Fungsi Respon Holling Tipe II. In Jurnal Ilmiah Matematika (Vol. 11).

Saufi, S., Ravindran, S., Hamid, N. H., Zainal Abidin, C. M. R., Ahmad, H., Ahmad, A. H., & Salim, H. (2020). Diet composition of introduced barn owls (Tyto alba javanica) in urban area in comparison with agriculture settings. Journal of Urban Ecology, 6(1). https://doi.org/10.1093/jue/juz025

Shine, R., Dunstan, N., Abraham, J., & Mirtschin, P. (2024). Why Australian farmers should not kill venomous snakes. In Animal Conservation (Vol. 27, Number 4, pp. 415–425). John Wiley and Sons Inc. https://doi.org/10.1111/acv.12925

Singleton, G. R., Lorica, R. P., Htwe, N. M., & Stuart, A. M. (2021). Rodent management and cereal production in Asia: Balancing food security and conservation. Pest Management Science, 77(10), 4249–4261.

Susanti, W. I., Cholidah, S. N., & Agus, F. (2024). Agroecological Nutrient Management Strategy for Attaining Sustainable Rice Self-Sufficiency in Indonesia. In Sustainability (Switzerland) (Vol. 16, Number 2). Multidisciplinary Digital Publishing Institute (MDPI). https://doi.org/10.3390/su16020845

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Published

2026-07-07

How to Cite

[1]
Zakaria and Dian Savitri 2026. Stability Analysis of Rice-Rat-Snake Population Dynamics Using Three Species Lotka-Volterra Model. Jurnal Sains Dasar. 14, 2 (Jul. 2026), 145–154. DOI:https://doi.org/10.21831/jsd.v14i2.93868.

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