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Bifurcation analysis of piecewise smooth ecological models
Fabio Dercole1, Alessandra Gragnani, Sergio Rinaldi
1Dipartimento di Elettronica e Informazione, Politecnico di Milano, Via Ponzio 34/5, 20133 Milano, Italy. dercole@elet.polimi.it
This study explores population dynamics using Filippov systems, analyzing long-term behavior and resource management strategies. A novel puzzle method simplifies constructing bifurcation diagrams for ecological models.
Area of Science:
- Mathematical Biology
- Dynamical Systems Theory
- Theoretical Ecology
Background:
- Piecewise smooth models, or Filippov systems, are crucial for simulating ecological phenomena like habitat switching and resource management with thresholds.
- Understanding the long-term behavior of these systems is essential for effective conservation and resource exploitation strategies.
Purpose of the Study:
- To investigate the long-term dynamics of population communities modeled by Filippov systems.
- To develop and apply a simplified method for constructing complete bifurcation diagrams for these ecological models.
Main Methods:
- Bifurcation analysis of Filippov systems with respect to two key parameters.
- Introduction and application of the 'puzzle method' for step-by-step construction of bifurcation diagrams.
Main Results:
- The study successfully applies the puzzle method to generate complete bifurcation diagrams for complex population models.
- The analysis reveals critical parameter values influencing population stability and long-term behavior under different management scenarios.
Conclusions:
- The puzzle method offers an accessible approach to analyzing Filippov systems in population ecology.
- The findings provide insights into sustainable resource management and the protection of interacting populations.
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