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Analysis of time-scaling properties in forest-fire sequence observed in Italy

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  • Telesca, Luciano
  • Lasaponara, Rosa

Abstract

The investigation of the temporal fluctuations in forest fires is an important topic in the context of environmental sciences. Time-scaling scale-invariant methodologies have been used to characterize the temporal properties of forest-fire sequences detected in the Italian territory. Our findings reveal that the fire sequences can be considered as fractal processes with a high degree of time-clusterization of the events. The time-clustering phenomenon is clearly visible from timescales of order of days. Furthermore the fire sequences observed with decreasing latitude tend to be more time-clusterized.

Suggested Citation

  • Telesca, Luciano & Lasaponara, Rosa, 2010. "Analysis of time-scaling properties in forest-fire sequence observed in Italy," Ecological Modelling, Elsevier, vol. 221(1), pages 90-93.
    • Handle: RePEc:eee:ecomod:v:221:y:2010:i:1:p:90-93
    DOI: 10.1016/j.ecolmodel.2009.01.019
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    References listed on IDEAS

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    1. K. Schenk & B. Drossel & S. Clar & F. Schwabl, 2000. "Finite-size effects in the self-organized critical forest-fire model," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 15(1), pages 177-185, May.
    2. Lasaponara, Rosa & Santulli, Adriano & Telesca, Luciano, 2005. "Time-clustering analysis of forest-fire sequences in southern Italy," Chaos, Solitons & Fractals, Elsevier, vol. 24(1), pages 139-149.
    3. Drossel, B. & Schwabl, F., 1992. "Self-organized criticality in a forest-fire model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 191(1), pages 47-50.
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    Cited by:

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    2. Baïle, Rachel & Muzy, Jean-François & Silvani, Xavier, 2021. "Multifractal point processes and the spatial distribution of wildfires in French Mediterranean regions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 568(C).
    3. Zhang, Gui-Qing & Baró, Jordi & Cheng, Fang-Yin & Huang, He & Wang, Lin, 2019. "Avalanche dynamics of a generalized earthquake model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 1463-1471.
    4. de Benicio, Rosilda B. & Stošić, Tatijana & de Figueirêdo, P.H. & Stošić, Borko D., 2013. "Multifractal behavior of wild-land and forest fire time series in Brazil," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(24), pages 6367-6374.
    5. Ba, Rui & Song, Weiguo & Lovallo, Michele & Zhang, Hui & Telesca, Luciano, 2022. "Informational analysis of MODIS NDVI and EVI time series of sites affected and unaffected by wildfires," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 604(C).
    6. Yuan, Ying & Zhuang, Xin-tian & Liu, Zhi-ying & Huang, Wei-qiang, 2014. "Analysis of the temporal properties of price shock sequences in crude oil markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 394(C), pages 235-246.

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