Practical experience in Tasmania has shown that the PHOENIX RapidFire behaviour model – a dynamic, spatially and temporally explicit fire behaviour prediction model – is inappropriate for key Tasmanian vegetation types (tall wet eucalypt forests) that are ecologically different than their equivalents on the mainland of Australia (for which the fire prediction model was developed). James’ PhD is improving the understanding of fuels and fire danger in Tasmania’s tall wet eucalypt forests, possibly the state’s most dangerous fuel type. James has collected data on fuels in tall wet eucalypt forests, both in Tasmania and nationwide, and is using this data to understand how fuel load, structure, and fire danger vary both geographically and temporally across this forest type. He is investigating different fire behaviour modelling approaches from around the world to develop a conceptual framework for modelling fire behaviour in this complex vegetation type.
Blog posts on Views & Visions
Post | Date | Key Topics |
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A great opportunity to network with colleagues | 07 Nov 2016 | fire, fuel reduction |
Project leadership
Student project
Resources credited
Type | Released | Title | Download | Key Topics |
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Presentation-Slideshow | 31 Oct 2017 | Three Minute Thesis: rethinking fuel accumulation curves |
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environments, fire, risk management |
Presentation-Audio-Video | 28 Oct 2016 | James Furlaud - Improving fire modelling for Tasmanian wet eucalypt forests |
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fire impacts, fire severity, modelling |
Presentation-Slideshow | 24 Oct 2016 | Wet forest fuels: managing Tasmania's most dangerous fuel type |
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fire, fuel reduction, modelling |