Bushfire publications: papers (2000 - present)
Many of CSIRO's bushfire research papers are available to the public at no charge.
9 May 2008 | Updated 14 October 2011
A selection of research papers produced from CSIRO research are listed below. CSIRO provides reprints of some of these papers at no charge.
To request reprints, please email Andrew.Sullivan@csiro.au, including your name, mailing address, email address and the details of the reprints you require.
This page lists papers published from 2000 until the present day. For older papers, see Bushfire publications: papers (pre-2000).
Please note, as indicated, that some papers are out of print.
Recently published papers (2000 - present)
Matthews S, McCaw L, Neal J and Smith R. 2007. Testing a process-based fine fuel moisture model in two forest types. Canadian Journal of Forest Research, 37: 23-35.
Cruz MG, Plucinski MP. 2007. Billo Road Fire – Analysis of fire phenomena and suppression activities. Bushfire CRC Report NO.A.07.02. Bushfire Cooperative Research Centre, Melbourne, Victoria, Australia. 95 pp.
Gould J, Cruz MG. (Eds) 2007. Fire Behaviour Workshop: State of Knowledge – Australasian Update. 18th- 19th September 2007, Hobart, Tasmania. Bushfire CRC Report NO.A.07.03. Bushfire Cooperative Research Centre, Melbourne, Victoria, Australia.167 pp.
Myers J, Gould J, Cruz MG, Henderson M. 2007. Fuel dynamics and fire behaviour in Australian mallee and heath vegetation. In: Butler, Bret W.; Cook, Wayne, comps. 2007. The fire environment— innovations, management, and policy; conference proceedings. 26-30 March 2007; Destin, FL. Proceedings RMRS-P-46. Fort Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. 7 p. CD-ROM.
Sullivan AL. 2007. Convective Froude number and Byram’s energy criterion of Australian experimental grassland fires. Proceedings of the Combustion Institute 31, 2557-2564.
Matthews S and McCaw WL. 2006. A next-generation fuel moisture model, 5th International Conference of Forest Fire Behaviour, 25 – 29 November, 2006, Figuiera da Foz, Portugal.
Alexander ME, Cruz MG. 2006. Evaluating a model for predicting active crown fire rate of spread using wildfire observations. Canadian Journal of Forest Research 36: 3015-3028.
Cruz MG, Butler BW, Alexander ME, Forthofer JM, Wakimoto RH. 2006. Predicting the ignition of crown fuels above a spreading surface fire I: Model idealization. Int. J. Wildland Fire 15(1):47-60.
Cruz MG, Butler BW, Alexander ME. 2006. Predicting the ignition of crown fuels above a spreading surface fire Part II: Model behaviour and evaluation. Int. J. Wildland Fire 15(1):61-72.
Matthews S. 2006. A process-based model of fine fuel moisture. International Journal of Wildland Fire 15: 155-168.
Plucinski MP. 2006. Fuel dynamics in shrub dominated landscapes, Bushfire 2006 Conference, Life in a fire prone environment: Translating science into practice, Brisbane Convention and Exhibition Centre, June 2006.
Plucinski M, Gould J, McCarthy G, Hollis J. 2006. The Effectiveness of Aerial Firefighting in Australia. Bushfire CRC Technical Report.
Plucinski M, McCarthy G, Gould J. 2006. Aerial Suppression Experiment, Cambridge Tasmania, 21-23 February 2005. Ensis CSIRO Technical Report 153, Canberra, Australian Capital Territory.
Matthews S. 2005. The water vapour conductance of Eucalyptus litter layers. Agricultural and Forest Meteorology 135: 73-81. Matthews, S. 2005. Fuel Moisture Modelling. Australia, CSIRO Forestry and Forest Products, Divisional Report, Yarralaumla, Australia.
Cruz MG, Alexander ME, Wakimoto RH .2005. Development and testing of models for predicting crown fire rate of spread in conifer forest stands. Canadian Journal of Forest Research 35: 1626-1639.
Cruz MG, Alexander ME, Wakimoto RH. 2004. Modeling the likelihood of Crown Fire Occurrence in Conifer Stands. Forest Science 50(5): 640-658.
Knight IK, Sullivan AL. 2004. A semi-transparent model of bushfire flames to predict radiant heat flux. International Journal of Wildland Fire 13, 201-207.
Plucinski MP, Gould JS, McCarthy GJ. 2004. Scientific approach in assessing aerial suppression. Bushfire Cooperative Research Centre Inaugural Conference, Perth, 7-9 October 2004, pp 19-24.
Gould JS, Plucinski MP, McCarthy GJ. 2004. Aerial suppression – need for evaluation. In Bushfire 2004, Earth, Wind and Fire, Fusing the Elements, Adelaide Festival Centre, Adelaide.
Plucinski MP, Anderson WR, Pippen BG. 2004. Testing fuel moisture models in heathlands, In Bushfire 2004, Earth, Wind and Fire, Fusing the Elements, Adelaide Festival Centre, Adelaide.
Sullivan AL, Knight IK. A hybrid cellular automata/semi-physical model of fire growth. In: Complex2004, Proceedings of 7th Asia-Pacific Complex Systems Conference, 6-10th December 2004, Cairns Qld, pp 64-73.
Cruz MG, Alexander ME, Wakimoto RH. 2003. Assessing the probability of crown fire initiation based on fire danger indices. The Forestry Chronicle 79(5):976-983.
Cruz MG, Alexander ME, Wakimoto RH. 2003. Assessing canopy fuel stratum characteristics in crown fire prone fuel types of western North America. Int. J. Wildland Fire 12(1):39-50.
Sullivan AL, Ellis PF, Knight IK. 2003. A review of radiant heat flux models used in bushfire applications. International Journal of Wildland Fire 12, 101-110.
Sullivan AL, Knight IK, Cheney NP. 2002. Predicting radiant heat flux from burning logs in a forest following a fire. Australian Forestry 65(1), 59-67.
Knight IK, Ellis PFM, Sullivan AL. 2001. The CSIRO vertical wind tunnel. (link to CSIRO Vertical Wind Tunnel PDF) CSIRO Forestry and Forest Products Technical Report No. 133, Canberra. 44 pp.
Knight IK. 2001. The design and construction of a vertical wind tunnel for the study of untethered firebrands in flight. Fire Technology, 37, 87-100.
Cheney P, Gould J, McCaw L. 2001. The Dead- Man Zone: A neglected area of firefighter safety. Aust. For. 64 (1):45-50.
Sullivan AL, Knight IK. 2001. Estimating error in wind speed measurements for experimental fires. Canadian Journal of Forest Research 31(3):401-409.
Links to some of these papers are available at Bushfire research papers: a sample from CSIRO scientists.