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Derivation and Analysis of a Discrete Predator-Prey Model
Sabrina H Streipert1, Gail S K Wolkowicz2, Martin Bohner3
1Department of Mathematics and Statistics, McMaster University, 1280 Main St. W., Hamilton, ON, L8S4K1, Canada. streipes@mcmaster.ca.
This study introduces a new discrete predator-prey model. The model predicts stable prey populations at low predator consumption rates and oscillating coexistence at higher rates, with analysis of bifurcations.
Area of Science:
- Ecology
- Mathematical Biology
- Population Dynamics
Background:
- Predator-prey models are fundamental to understanding population dynamics.
- Existing models often use continuous differential equations, which may not capture discrete population changes.
- A discrete model derived from first principles is needed to better reflect natural populations.
Purpose of the Study:
- To derive a novel discrete predator-prey model from fundamental ecological assumptions.
- To analyze the stability of the prey-only equilibrium and the conditions for coexistence.
- To investigate the dynamics of the discrete model, including bifurcations and oscillations.
Main Methods:
- Derivation of a discrete predator-prey model using an economic technique for continuous-discrete compounding.
- Extension of phase plane analysis with a novel 'next iterate root-curve'.
- Application of Lyapunov functions and bifurcation analysis (Neimark-Sacker bifurcation).
Main Results:
- The prey-only equilibrium is globally asymptotically stable below a specific predator consumption-energy rate threshold.
- Above this threshold, a stable coexistence equilibrium emerges, with solutions oscillating around it.
- The study identifies conditions for local stability and destabilization via a supercritical Neimark-Sacker bifurcation, bounding oscillation amplitudes.
Conclusions:
- The derived discrete predator-prey model offers a more realistic representation of population interactions.
- The model accurately predicts transitions from stable prey populations to oscillating coexistence.
- Bifurcation analysis reveals complex dynamics, including the emergence and stability of coexistence equilibria.
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