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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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 ???ViewItemFull_lblCreators???:
Rybski, Diego1, ???ENUM_CREATORROLE_AUTHOR???           
Butsic, Van2, ???ENUM_CREATORROLE_AUTHOR???
Kantelhardt, Jan W.2, ???ENUM_CREATORROLE_AUTHOR???
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1Potsdam Institute for Climate Impact Research, ou_persistent13              
2External Organizations, ou_persistent22              

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 ???ViewItemFull_lblAbstract???: 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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 ???ViewItemFull_lblDates???: 2021-06-172021-07-29
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???ENUM_IDENTIFIERTYPE_ORGANISATIONALK???: RD2 - Climate Resilience
???ENUM_IDENTIFIERTYPE_PIKDOMAIN???: RD2 - Climate Resilience
???ENUM_IDENTIFIERTYPE_WORKINGGROUP???: Urban Transformations
???ENUM_IDENTIFIERTYPE_RESEARCHTK???: Forest
???ENUM_IDENTIFIERTYPE_RESEARCHTK???: Land use
???ENUM_IDENTIFIERTYPE_RESEARCHTK???: Nonlinear Dynamics
???ENUM_IDENTIFIERTYPE_REGIONALK???: Global
???ENUM_IDENTIFIERTYPE_MODELMETHOD???: Quantitative Methods
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???ViewItemFull_lblSourceTitle???: Physical Review E
???ViewItemFull_lblSourceGenre???: ???ENUM_GENRE_JOURNAL???, SCI, Scopus, p3
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???ENUM_IDENTIFIERTYPE_PUBLISHER???: American Physical Society (APS)