The study of life within an ecosystem reveals a complex system. Ecosystems are characterised by the presence of all the elements that give rise to chaotic dynamics. Although chaos is often predicted by mathematical models, there is currently only limited evidence of its existence in nature, with the proof of its occurrence remaining scarce and uncertain. Despite the apparent simplicity of food chains, they exhibit highly complex dynamics. Models created several years ago have confirmed that food chains have complex dynamics. In this study, a fractional order ratio-dependent food chain model is considered. This model consists of three compartments: prey population density (𝑋), predator population density (𝑌) and top predator density (𝑍). The fractional derivative is employed in accordance with the Caputo sense. A mathematical analysis of the fractional order ratio-dependent food chain model is conducted. Numerical results are obtained with the aid of the Euler method and the graphs are interpreted.
This study does not involve human or animal participants. All procedures followed scientific and ethical principles, and all referenced studies are appropriately cited.
The study of life within an ecosystem reveals a complex system. Ecosystems are characterised by the presence of all the elements that give rise to chaotic dynamics. Although chaos is often predicted by mathematical models, there is currently only limited evidence of its existence in nature, with the proof of its occurrence remaining scarce and uncertain. Despite the apparent simplicity of food chains, they exhibit highly complex dynamics. Models created several years ago have confirmed that food chains have complex dynamics. In this study, a fractional order rate-dependent food chain model is considered. This model consists of three compartments: prey population density (X), predator population density (Y) and top predator density (Z). The fractional derivative is employed in accordance with the Caputo sense. A mathematical analysis of the fractional order rate-dependent food chain model is conducted. Numerical results are obtained with the aid of the Euler method and the graphs are interpreted.
| Primary Language | English |
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| Subjects | Classical Physics (Other) |
| Journal Section | Research Article |
| Authors | |
| Submission Date | December 12, 2024 |
| Acceptance Date | July 14, 2025 |
| Publication Date | October 30, 2025 |
| Published in Issue | Year 2025 Volume: 13 Issue: 4 |