Register      Login
International Journal of Wildland Fire International Journal of Wildland Fire Society
Journal of the International Association of Wildland Fire
RESEARCH ARTICLE

The initiation of fire spread in shrubland fuels recreated in the laboratory

Matt P. Plucinski A D E , Wendy R. Anderson A , Ross A. Bradstock B and A. Malcolm Gill C
+ Author Affiliations
- Author Affiliations

A School of Physical, Environmental and Mathematical Sciences, University of New South Wales @ ADFA, Canberra, ACT 2600, Australia.

B Centre for Environmental Risk Management of Bushfires, University of Wollongong, Northfields Road, Wollongong, NSW 2522, Australia.

C Fenner School of Environment and Society, The Australian National University, Acton, ACT 0200, Australia.

D Present address: CSIRO Sustainable Ecosystems and CSIRO Climate Adaptation Flagship,PO Box 284, Canberra, ACT 2601, Australia.

E Corresponding author. Email: matt.plucinski@csiro.au

International Journal of Wildland Fire 19(4) 512-520 https://doi.org/10.1071/WF09038
Submitted: 22 April 2009  Accepted: 28 October 2009   Published: 24 June 2010

Abstract

Fire-prone shrub-dominated vegetation communities cover a considerable portion of Australia, including areas fringing urban development. Near urban interfaces, they are actively managed with prescribed fire to reduce the risk of wildfire (unplanned fire). Knowledge of the range of conditions that allow fires to spread or fail to do so is limited and can inconvenience fire managers when conducting prescribed burns. A series of experimental ignitions conducted in miniature shrublands reconstructed in the laboratory were used to investigate factors that influence ignition thresholds. The miniature shrublands were composed of foliage from the shrub Allocasuarina nana and were prepared over a range of moisture contents and densities. The impact of dead fuel within the aerial structure of the shrubs was also investigated, as was the presence and absence of wind and litter. The most important factors for spread initiation were identified using logistic regression analysis and classification tree modelling. The presence of litter, live fuel moisture content, shrub-layer density, presence of wind, and the amount and continuity of the dead elevated fuel were all found to influence spread sustainability. There was a negative interaction between shrub-layer density and live fuel moisture content, showing the effect of density to be less at higher moisture contents.

Additional keywords: dead elevated fuels, fire behaviour, fuel density, ignition thresholds, laboratory experiments.


Acknowledgements

We acknowledge the valuable technical assistance of Peter Moore. CSIRO Plant Industry generously provided the use of facilities at the Black Mountain Laboratories, Canberra. This project was part of an Australian Research Council and New South Wales National Parks and Wildlife Service-funded Strategic Partnerships with Industry-research and Training (SPIRT) scholarship investigating ignition and development of fire in shrublands. We also thank Dr PAM Fernandes and Dr MG Cruz and the anonymous reviewers for helpful comments on the manuscript.


References


Anderson SAJ, Anderson WR, Ignition and fire spread thresholds in gorse (Ulex europaeus). International Journal of Wildland Fire, in press. doi:10.1071/WF09008

Beverly JL , Wotton BM (2007) Modelling the probability of sustained flaming: predictive value of fire weather index components compared with observations of site weather and fuel moisture conditions. International Journal of Wildland Fire  16, 161–173.
Crossref | GoogleScholarGoogle Scholar | Breiman L, Friedman JH, Olshen RA, Stone CJ (1984) ‘Classification and Regression Trees.’ (Wadsworth: Belmont, CA)

Bruner AD, Klebenow DA (1979) Predicting success of prescribed fires in pinyon–juniper woodland in Nevada. USDA Forest Service, Intermountain Forest and Range Experimental Station, INT-219. (Ogden, UT)

Burrows N, Ward B , Robinson A (1991) Fire behaviour in spinifex fuels on the Gibson Desert Nature Reserve, Western Australia. Journal of Arid Environments  20, 189–204.
Catchpole W, Bradstock R, Choate J, Fogarty L, Gellie N, McCarthy G, McCaw L, Marsden-Smedley J, Pearce G (1998b) Cooperative development of equations for heathland fire behaviour. In ‘III International Conference on Forest Fire Research and 14th Conference on Fire and Forest Meteorology’, November 1998, Luso, Portugal. (Ed. DX Viegas) pp. 631–645. (ADAI: Coimbra, Portugal)

Cruz M, Alexander M , Wakimoto R (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.
Crossref | GoogleScholarGoogle Scholar | Hosmer DW, Lemeshow S (2000) ‘Applied Logistic Regression.’ 2nd edn. (Wiley: New York)

Keith DA, McCaw WL, Whelan RJ (2002) Fire regimes in Australian heathlands and their effects on plants and animals. In ‘Flammable Australia: the Fire Regimes and Biodiversity of a Continent’. (Eds Bradstock RA, Williams JE, Gill AM) pp. 199–237. (Cambridge University Press: Cambridge, UK)

Lawson BD, Armitage OB, Dalrymple GN (1994) Ignition probabilities for simulated people-caused fires in British Columbia’s lodgepole pine and white spruce–subalpine fir forests. In ‘12th International Conference on Fire and Forest Meteorology’, 26–29 October 1993, Jekyll Island, GA. pp. 493–505. (Society of American Foresters: Bethesda, MD)

Lehmann EL (1986) ‘Testing Statistical Hypotheses.’ 2nd edn. (Wiley: New York)

Lin CC (1999) Modelling probability of ignition in Taiwan red pine forests. Taiwan Journal of Forest Science  14, 339–344.
Lindenmuth AW, Davis JR (1973) Predicting fire spread in Arizona oak chaparral. USDA Forest Service, Rocky Mountain Forest Experimental Station, Research Paper RM-101. (Fort Collins, CO)

Manzello SL, Cleary TG, Shields JR , Yang JC (2006) Ignition of mulch and grasses by firebrands in wildland–urban interface fires. International Journal of Wildland Fire  15, 427–431.
Crossref | GoogleScholarGoogle Scholar | Plucinski MP (2003) The investigation of factors governing ignition and development of fires in heathland vegetation. PhD thesis, University of New South Wales @ ADFA, Canberra. Available at http://unsworks.unsw.edu.au/vital/access/manager/Index [Verified 29 October 2009]

Plucinski MP , Anderson WR (2008) Laboratory determination of factors influencing successful point ignition in the litter layer of shrubland vegetation. International Journal of Wildland Fire  17, 628–637.
Crossref | GoogleScholarGoogle Scholar | Rothermel RC (1972) A mathematical model for predicting fire spread in wildland fuels. USDA Forest Service, Intermountain Research Station, Research paper INT-115. (Ogden, UT)

Tanskanen H, Venäläinen A, Puttonen P , Granström A (2005) Impact of stand structure on surface fire ignition potential in Picea abies and Pinus sylvestris forests in southern Finland. Canadian Journal of Forest Research  35, 410–420.
Crossref | GoogleScholarGoogle Scholar |

Weise DR, Zhou X, Sun L , Mahalingam S (2005) Fire spread in chaparral – ‘go or no-go?’ International Journal of Wildland Fire  14, 99–106.
Crossref | GoogleScholarGoogle Scholar |

Zhou X, Mahalingam S , Weise D (2005a) Modeling of marginal burning state of fire spread in live chaparral shrub fuel bed. Combustion and Flame  143, 183–198.
Crossref | GoogleScholarGoogle Scholar | CAS |

Zhou X, Weise D , Mahalingam S (2005b) Experimental measurements and numerical modeling of marginal burning in live chaparral fuel beds. Proceedings of the Combustion Institute  30, 2287–2294.
Crossref | GoogleScholarGoogle Scholar |

Zhou XY, Mahalingam S , Weise D (2007) Experimental study and large eddy simulation of effect of terrain slope on marginal burning in shrub fuel beds. Proceedings of the Combustion Institute  31, 2547–2555.
Crossref | GoogleScholarGoogle Scholar |