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Self-organized multistability in the forest fire model

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/f2 scaling (Brownian noise) at the low frequencies f, which turns into white noise for very long simulation times.


D. Rybski, V. Butsic, J. Kantelhardt, Self-organized multistability in the forest fire model, Physical Review E 104 (2021) L012201.

Diego Rybski

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