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 we identify periodic attractors, where the tree density oscillates between discrete values. For lower this self-organized multistability persists with incrementing numbers of states. Even at low the system remains quasiperiodic with a frequency on the way to chaos. In addition, the power-spectrum shows scaling (Brownian noise) at the low frequencies , which turns into white noise for very long simulation times.
- Received 23 April 2021
- Accepted 17 June 2021
DOI:https://doi.org/10.1103/PhysRevE.104.L012201
©2021 American Physical Society
Physics Subject Headings (PhySH)
synopsis
New Behaviors from an Old Forest Fire Model
Published 29 July 2021
Self-organizing properties, unnoticed for decades, are observed in changes in the density of trees in a forest that can catch fire.
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