Predator-prey Activity-Tuned Ecological System: An Exhilarating Rollercoaster of Survival

In natural ecosystems, the timing of daily activity in predator and prey plays a crucial role in determining their encounters and evolutionary outcomes. This study explores how coevolution in circadian activity patterns emerges from the dynamic interplay between predator pursuit and prey avoidance. Using a biologically inspired system of simplified differential equations, we formulate the system that incorporates the activity levels of both prey and predator, integrating factors such as energy demands, predation pressure, and the dynamic synchronization of predator behavior in response to prey activity patterns. In the qualitative analysis, positivity and boundedness, uniform persistence, local and global stability, stochastic p-stability are advocated. This work bridges theoretical ecology and dynamical systems, offering a mechanistic insight into how predator–prey co-adaptation shapes temporal niches and changes their routine activities. The effectiveness of predators as killing machines lies not merely in their physical traits, but in the timing and adaptability of their activities, strategically aligned to exploit prey vulnerability. On the other side, prey craft their activity rhythms to reduce detectability and outmaneuver predators, optimizing escape opportunities, which is indeed the masterpiece of predator-prey evolution and the perilous journey of survival. It provides a quantitative framework for future studies on behavioral evolution in complex environments, emphasizing that the true essence of predator–prey systems lies in understanding and capturing their adaptive activity patterns.

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Publication Details

Journal
International Journal of Mathematical Engineering and Management Sciences
Published
2026-03-21
DOI
https://doi.org/10.33889/ijmems.2026.11.2.025
Primary Topic
Evolution and Genetic Dynamics
Type
article
Field-Weighted Citation Impact
0.00
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article

Predator-prey Activity-Tuned Ecological System: An Exhilarating Rollercoaster of Survival

Rajat Kaushik, Saurabh Kumar, Chitra Singh
International Journal of Mathematical Engineering and Management Sciences
Evolution and Genetic Dynamics
article

Predator-prey Activity-Tuned Ecological System: An Exhilarating Rollercoaster of Survival

Rajat Kaushik, Saurabh Kumar, Chitra Singh
article en

Abstract

In natural ecosystems, the timing of daily activity in predator and prey plays a crucial role in determining their encounters and evolutionary outcomes. This study explores how coevolution in circadian activity patterns emerges from the dynamic interplay between predator pursuit and prey avoidance. Using a biologically inspired system of simplified differential equations, we formulate the system that incorporates the activity levels of both prey and predator, integrating factors such as energy demands, predation pressure, and the dynamic synchronization of predator behavior in response to prey activity patterns. In the qualitative analysis, positivity and boundedness, uniform persistence, local and global stability, stochastic p-stability are advocated. This work bridges theoretical ecology and dynamical systems, offering a mechanistic insight into how predator–prey co-adaptation shapes temporal niches and changes their routine activities. The effectiveness of predators as killing machines lies not merely in their physical traits, but in the timing and adaptability of their activities, strategically aligned to exploit prey vulnerability. On the other side, prey craft their activity rhythms to reduce detectability and outmaneuver predators, optimizing escape opportunities, which is indeed the masterpiece of predator-prey evolution and the perilous journey of survival. It provides a quantitative framework for future studies on behavioral evolution in complex environments, emphasizing that the true essence of predator–prey systems lies in understanding and capturing their adaptive activity patterns.

International Journal of Mathematical Engineering and Management SciencesVol. 11(2)
Madhya Pradesh Council of Science and Technology (IN)
Life in Land
Openalex Percentile: Top 15%
Evolution and Genetic Dynamics
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