@article{ref1,
title="Self-organized multistability in the forest fire model",
journal="Physical review. E",
year="2021",
author="Rybski, Diego and Butsic, Van and Kantelhardt, Jan W.",
volume="104",
number="1",
pages="L012201-L012201",
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.<p /> <p>Language: en</p>",
language="en",
issn="2470-0045",
doi="10.1103/PhysRevE.104.L012201",
url="http://dx.doi.org/10.1103/PhysRevE.104.L012201"
}