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  Self-organized multistability in the forest fire model

Rybski, D., Butsic, V., Kantelhardt, J. W. (2021): Self-organized multistability in the forest fire model. - Physical Review E, 104, 1, L012201.

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Item Permalink: https://publications.pik-potsdam.de/pubman/item/item_25697 Version Permalink: https://publications.pik-potsdam.de/pubman/item/item_25697_4
Genre: Journal Article

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On_the_dynamics_of_the_Forest_Fire_Model_2021-06-17_resubmitted.pdf (Preprint), 2MB
 
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 Creators:
Rybski, Diego1, Author              
Butsic, Van2, Author
Kantelhardt, Jan W.2, Author
Affiliations:
1Potsdam Institute for Climate Impact Research, ou_persistent13              
2External Organizations, ou_persistent22              

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

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 Dates: 2021-06-172021-07-29
 Publication Status: Finally published
 Pages: -
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 Table of Contents: -
 Rev. Type: Peer
 Identifiers: MDB-ID: yes - 3229
Organisational keyword: RD2 - Climate Resilience
PIKDOMAIN: RD2 - Climate Resilience
Working Group: Urban Transformations
Research topic keyword: Forest
Research topic keyword: Land use
Research topic keyword: Nonlinear Dynamics
Regional keyword: Global
Model / method: Quantitative Methods
 Degree: -

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Title: Physical Review E
Source Genre: Journal, SCI, Scopus, p3
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Pages: - Volume / Issue: 104 (1) Sequence Number: L012201 Start / End Page: - Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/150218
Publisher: American Physical Society (APS)