Forest Fire Cellular Automaton — SOC

Self-organized criticality via Drossel-Schwabl forest fire model
Tree Burning Fire (cooling) Empty

Parameters

Trees: 0
Burning: 0
Fires total: 0
Step: 0

Self-Organized Criticality

The Drossel-Schwabl forest fire model (1992) is a paradigm for self-organized criticality (SOC) — systems that naturally evolve toward a critical state without tuning parameters.

Rules per step:

Empty → Tree with prob p (growth)
Tree → Burning if neighbor is burning
Tree → Burning with prob f (lightning)
Burning → Empty (ash, regrows)

When p/f → 0 (slow growth, rare lightning), the system reaches a critical state: power-law distributed fire sizes. Small and large fires both occur; there is no characteristic scale.

The SOC state arises from the interplay of local spreading (fire) and global accumulation (trees). The system self-tunes — more trees → more connectivity → larger fires → more empty space → trees regrow. This feedback maintains near-criticality.

Similar SOC dynamics appear in earthquakes (Gutenberg-Richter law), avalanches, neural criticality, and stock market crashes.