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Modelling, singular perturbation and bifurcation analyses of bitrophic food chains
1Faculty of Science, VU Amsterdam, De Boelelaan 1085, Amsterdam, 1081 HV, The Netherlands.
Mathematical Biosciences
|April 24, 2018
Summary
This study compares predator-prey models, revealing a novel "canard explosion" in the Rosenzweig-MacArthur model. This phenomenon alters limit cycle dynamics, offering new insights into ecological oscillations.
Area of Science:
- Ecology
- Mathematical Biology
- Theoretical Ecology
Background:
- Predator-prey models are essential for understanding ecological dynamics.
- The Rosenzweig-MacArthur (RM) and Mass Balance (MB) chemostat models are widely used but exhibit different behaviors under slow-fast conditions.
- Singular perturbation problems arise when predator and prey dynamics have vastly different time scales.
Purpose of the Study:
- To compare the dynamics of the RM and MB predator-prey models, particularly in their fast-slow formulations.
- To investigate the occurrence of bifurcations and limit cycles in these models.
- To identify and analyze novel dynamical phenomena such as canard explosions.
Main Methods:
- Mathematical modeling using singular perturbation theory.
- Analysis of transcritical and Hopf bifurcations.
- Asymptotic expansion techniques to predict model dynamics.
- Comparison of model predictions under varying parameter values.
Main Results:
- Both RM and MB models exhibit transcritical and Hopf bifurcations, leading to limit cycles.
- The fast-slow RM model displays a "canard explosion," a previously unobserved dynamic in this model, altering limit cycle amplitude and shape.
- The MB model, while similar in many aspects, does not exhibit a canard explosion.
- Asymptotic expansion accurately predicts the canard explosion point in the RM model.
Conclusions:
- The fast-slow RM model exhibits complex dynamics, including canard explosions, not seen in the MB model.
- Differences in model formulation (explicit resource in MB) lead to distinct behaviors.
- These findings enhance our understanding of ecological oscillations and model limitations.
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