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Environmental Management

, Volume 55, Issue 5, pp 1200–1216 | Cite as

Assessing Landscape Scale Wildfire Exposure for Highly Valued Resources in a Mediterranean Area

  • Fermín J. AlcasenaEmail author
  • Michele Salis
  • Alan A. Ager
  • Bachisio Arca
  • Domingo Molina
  • Donatella Spano
Article

Abstract

We used a fire simulation modeling approach to assess landscape scale wildfire exposure for highly valued resources and assets (HVR) on a fire-prone area of 680 km2 located in central Sardinia, Italy. The study area was affected by several wildfires in the last half century: some large and intense fire events threatened wildland urban interfaces as well as other socioeconomic and cultural values. Historical wildfire and weather data were used to inform wildfire simulations, which were based on the minimum travel time algorithm as implemented in FlamMap. We simulated 90,000 fires that replicated recent large fire events in the area spreading under severe weather conditions to generate detailed maps of wildfire likelihood and intensity. Then, we linked fire modeling outputs to a geospatial risk assessment framework focusing on buffer areas around HVR. The results highlighted a large variation in burn probability and fire intensity in the vicinity of HVRs, and allowed us to identify the areas most exposed to wildfires and thus to a higher potential damage. Fire intensity in the HVR buffers was mainly related to fuel types, while wind direction, topographic features, and historically based ignition pattern were the key factors affecting fire likelihood. The methodology presented in this work can have numerous applications, in the study area and elsewhere, particularly to address and inform fire risk management, landscape planning and people safety on the vicinity of HVRs.

Keywords

Fire exposure Fire risk Highly valued resources and assets Mediterranean areas MTT algorithm 

Notes

Acknowledgments

The authors would like to thank the Forest Service of Sardinia and the Sardinia Civil Protection for collaborating in this study. This work was partially funded by the GEMINA Project - MIUR/MATTM n. 232/2011, by the EXTREME Project (Legge Regione Sardegna 7/2007, CRP-25405), and by the Project “Modeling approach to evaluate fire risk and mitigation planning actions” (P.O.R. SARDEGNA F.S.E. 2007–2013, Asse IV Capitale umano, Linea di Attivita` l.3.1).

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Copyright information

© Springer Science+Business Media New York 2015

Authors and Affiliations

  • Fermín J. Alcasena
    • 1
    • 2
    Email author
  • Michele Salis
    • 2
    • 3
  • Alan A. Ager
    • 4
  • Bachisio Arca
    • 5
  • Domingo Molina
    • 6
  • Donatella Spano
    • 2
    • 3
  1. 1.Department of Agricultural and Forest EngineeringUniversity of LleidaLleidaSpain
  2. 2.IAFENT DivisionEuro-Mediterranean Center on Climate Change (CMCC)SassariItaly
  3. 3.Department of Science for Nature and Environmental Resources (DIPNET)University of SassariSassariItaly
  4. 4.Pacific Northwest Research StationUSDA Forest ServicePendletonUSA
  5. 5.Institute of Biometeorology (IBIMET)National Research Council (CNR)SassariItaly
  6. 6.Department of Crop and Forest SciencesUniversity of LleidaLleidaSpain

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