Self-organized multistability in the forest fire model.
basic_science · Level V
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- Record sourced from PubMed, PMID 34412310.
- Also identified by DOI 10.1103/PhysRevE.104.L012201.
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Abstract
The forest fire model in statistical physics represents a paradigm for systems close to but not completely at criticality. For large tree growth probabilities p we identify periodic attractors, where the tree density ρ oscillates between discrete values. For lower p this self-organized multistability persists with incrementing numbers of states. Even at low p the system remains quasiperiodic with a frequency ≈p on the way to chaos. In addition, the power-spectrum shows 1/f^{2} scaling (Brownian noise) at the low frequencies f, which turns into white noise for very long simulation times.