James Furlaud

PhD student
James Furlaud

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.

Project leadership

This project is based on the immediate post-fire vegetation re-measurement of TERN plots burnt after the 2015-2016 bushfire season.
Research team:
This project is being completed with the support of the CRC's funding for quick response. It investigates the effects of fire at 12 permanent plots that burned in the 2019 Tasmanian fires by comparing the predicted and actual fire severity.
This project is being completed with the support of the CRC's funding for quick response. It investigates the effect of fuel load and structure on fire severity across Australian wet eucalypt forests by measuring four of the eight Ausplots in southern NSW that burned in the 2019-20 fires.

Student project

This projects aims to better characterise fuel loads and fire danger in Tasmania’s wet sclerophyll forests, possibly Tasmania’s most dangerous fuel type due to potentially extreme fire intensities on a bad fire weather day. To do this we will collect field data on fuel loads in Tasmania’s wet sclerophyll forests and use this data to recalibrate the PHOENIX Rapidfire fire behaviour model for these forest types. We will then use these recalibrated models to do a simulation-based risk assessment of Tasmania’s wet forests and to evaluate a diverse suite of potential fuel management regimes.
Supervisory panel:
27 Aug 2019
Tall Wet Eucalypt Forests (TWEF) are one of the world’s most complex and unique forest types. A...
Resilient or suicidal giants: what types of fires do the world’s tallest flowering forests support?
19 Sep 2018
Australian tall wet eucalypt-dominated forests are widely considered to experience a fire regime of...
Simulating the effectiveness of prescribed burning at altering wildfire behaviour in Tasmania
30 Jun 2017
Prescribed burning is a widely accepted wildfire hazard reduction technique, however knowledge of...
James Furlaud Conference Poster 2016
14 Aug 2016
Wet sclerophyll forests are Tasmania’s most dangerous fuel type
Rainforests on Fire: Assessing Bushfire Risk in Tasmania's Wet Forest Types
18 Aug 2015
A proposal to calibrate the Phoenix RapidFire prediction model for Tasmania's wet forest types to...

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