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Generalized Lotka-Volterra systems with quenched random interactions and saturating nonlinear response
Marco Zenari1,2, Francesco Ferraro1,3,4, Sandro Azaele1,3,4
1University of Padova, Department of Physics and Astronomy "Galileo Galilei", Italy.
This study introduces nonlinear responses to ecological models, preventing unrealistic unbounded population growth. It reveals how interaction symmetry influences ecosystem dynamics, leading to more realistic models of biodiversity and stability.
Area of Science:
- Ecology
- Theoretical Ecology
- Mathematical Biology
Background:
- Generalized Lotka-Volterra (GLV) equations are standard for complex ecosystem dynamics.
- Linear interaction models in GLV can lead to unbounded growth, limiting ecological realism.
- Strong cooperation or heterogeneity exacerbates these model limitations.
Purpose of the Study:
- To address the unbounded growth issue in GLV models.
- To introduce ecological realism via nonlinear responses.
- To analyze ecosystem stability and dynamics under nonlinear conditions.
Main Methods:
- Incorporation of Monod-type saturating nonlinear response into the GLV framework.
- Application of Dynamical Mean-Field Theory (DMFT) for analytical derivations.
- Numerical simulations to explore complex dynamical behaviors.
Main Results:
- Derived analytical expressions for species abundance distribution in the Unique Fixed Point phase.
- Demonstrated suppression of unbounded population dynamics.
- Revealed a transition between high-dimensional chaotic and low-volatility regimes in the Multiple Attractor phase, controlled by interaction symmetry.
Conclusions:
- The nonlinear GLV model provides a more ecologically realistic foundation for disordered ecosystems.
- Nonlinearity and interaction symmetry are critical factors in shaping ecosystem diversity and resilience.
- Findings advance the understanding of complex community stability and dynamics.
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