Changing Weather Extremes Call for Early Warning of Potential for Catastrophic Fire. Issue 12 (27th December 2017)

• Record Type: Journal Article
• Authors: Boer, Matthias M.; Nolan, Rachael H.; Resco De Dios, Víctor; Clarke, Hamish; Price, Owen F.; Bradstock, Ross A.
• Is Part Of: Earth's future. Volume 5:Issue 12(2017)
• Page Start: 1196
• Page End: 1202
• Publication Date: 2017-12-27
• Subjects: forest fire -- weather extremes -- fuel moisture -- early warning; Environmental sciences -- Periodicals; Environmental sciences; Periodicals; 550
• DOI: 10.1002/2017EF000657
• Languages: English
• ISSNs: 2328-4277

Abstract

Abstract: Changing frequencies of extreme weather events and shifting fire seasons call for enhanced capability to forecast where and when forested landscapes switch from a nonflammable (i.e., wet fuel) state to the highly flammable (i.e., dry fuel) state required for catastrophic forest fires. Current forest fire danger indices used in Europe, North America, and Australia rate potential fire behavior by combining numerical indices of fuel moisture content, potential rate of fire spread, and fire intensity. These numerical rating systems lack the physical basis required to reliably quantify forest flammability outside the environments of their development or under novel climate conditions. Here, we argue that exceedance of critical forest flammability thresholds is a prerequisite for major forest fires and therefore early warning systems should be based on a reliable prediction of fuel moisture content plus a regionally calibrated model of how forest fire activity responds to variation in fuel moisture content. We demonstrate the potential of this approach through a case study in Portugal. We use a physically based fuel moisture model with historical weather and fire records to identify critical fuel moisture thresholds for forest fire activity and then show that the catastrophic June 2017 forest fires in central Portugal erupted shortly after fuels in the region dried out to historically unprecedented levels. Key Points: Altered frequencies of extreme weather events may affect the incidence, seasonality, severity and impacts of forest fires globally Forests in disparate environments switch to a state of critical flammability at similar levels of fine dead fuel moisture content within days Dead fuel moisture content can be reliably predicted from gridded weather data, providing early warning of changes in forest flammability