Dr James Furlaud

Completed PhD student
About
Dr 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). Dr James Furlaud’s PhD improved the understanding of fuels and fire danger in Tasmania’s tall wet eucalypt forests, possibly Tasmania’s most dangerous vegetation type. James has collected data on vegetation in tall wet eucalypt forests both in Tasmania and nationwide. He has used this data to understand how fuel load, structure, and fire danger vary both geographically and temporally across this forest type. He has investigated different fire behaviour modelling approaches from around the world to develop a conceptual framework for modelling fire behaviour in this complex vegetation type.

James has also led three projects funded by the CRC’s funding for quick response program. He has completed immediate post-fire vegetation re-measurement of TERN plots burnt in the 2015/16 fire season, investigated the effects of fire at 12 permanent plots that burned in the 2019 Tasmanian fires, and is investigating the effect of fuel load and structure on fire severity across Australian wet eucalypt forests by measuring four of the eight plots in southern NSW that burned in the 2019/20 fires.

James has had his PhD research published in the Journal of Ecology, Landscape Ecology and the International Journal of Wildland Fire, and spoke at the International Association of Wildland Fire’s Fire Behaviour and Fuels conference in 2019. He is currently the Fire Centre Research Hub’s Communications Coordinator and research assistant for the School
of Natural Sciences at the University of Tasmania.

His thesis is available here.

Project leadership

This project was completed with the support of the CRC's funding for quick response..The research is based on the immediate post-fire vegetation re-measurement of TERN plots burnt after the 2015-2016 bushfire season.
Research team:
This project was completed with the support of the CRC's funding for quick response. It investigated 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 was completed with the support of the CRC's funding for quick response. It investigated 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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