Self-organized multistability in the forest fire model

被引：3

作者：

Rybski, Diego ^{[1
,2
,3
]}

Butsic, Van ^{[2
]}

Kantelhardt, Jan W. ^{[4
]}

机构：

[1] Leibniz Assoc, Potsdam Inst Climate Impact Res PIK, POB 601203, D-14412 Potsdam, Germany

[2] Univ Calif Berkeley, Dept Environm Sci Policy & Management, 130 Mulford Hall 3114, Berkeley, CA 94720 USA

[3] Complex Sci Hub Vienna, Josefstadterstr 39, A-1090 Vienna, Austria

[4] Martin Luther Univ Halle Wittenberg, Inst Phys, D-06099 Halle, Germany

来源：

PHYSICAL REVIEW E | 2021年 / 104卷 / 01期

关键词：

Deforestation - Fires - Fire hazards - White noise;

D O I：

10.1103/PhysRevE.104.L012201

中图分类号：

O35 [流体力学]; O53 [等离子体物理学];

学科分类号：

070204 ; 080103 ; 080704 ;

摘要：

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 rho 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 approximate to 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.

引用

页数：6

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