Simulation of prescribed burning strategies in south-west Tasmania, Australia: effects on unplanned fires, fire regimes, and ecological management values
Karen J. King A E F , Geoffrey J. Cary A E , Ross A. Bradstock B E , Joanne Chapman C , Adrian Pyrke D and Jonathon B. Marsden-Smedley D EA School of Resources, Environment and Society, Australian National University, Acton, ACT 0200, Australia.
B NSW Department of Environment and Conservation, Box 1967, Hurstville, NSW 2220, Australia.
C School of Physical, Environmental and Mathematical Sciences, University of New South Wales at the Australian Defence Force Academy, Canberra, ACT 2600, Australia.
D Tasmanian Parks and Wildlife Service, GPO Box 1751, Hobart, Tas. 7001, Australia.
E Bushfire Cooperative Research Centre, Australia.
F Corresponding author. Email: karen.king@anu.edu.au
International Journal of Wildland Fire 15(4) 527-540 https://doi.org/10.1071/WF05076
Published: 7 December 2006
Abstract
Computer simulation modelling provides a useful approach for determining the trade-offs between the extent of prescribed burning and the long-term impacts of unplanned fires on management values. In the present study, FIRESCAPE-SWTAS, a process-based fire regime and vegetation dynamics model, was used in the World Heritage Area of south-west Tasmania, Australia, to investigate the implications of different prescribed burning treatments on identified management objectives. Treatments included annual prescribed burning of different proportions of the most flammable vegetation community, buttongrass moorlands. Additionally, a proposed strategic burning treatment for this landscape was simulated for comparison with these treatments. Simulations identified the nature of the relationships between the prescribed burn treatment level and the fire size distributions, the mean incidence, and the mean annual areas burnt by unplanned fires, with all three parameters declining with increases in treatment level. The study also indicated that strategically located treatment units were able to enhance the reduction in the fire risk to vegetation species susceptible to fire (fire-intolerant species).
Additional keywords: alpine vegetation; fire management; FIRESCAPE; rainforest.
Berjak SG , Hearne JW (2002) An improved cellular automaton model for simulating fire in a spatially heterogeneous savanna system. Ecological Modelling 148, 133–151.
| Crossref | GoogleScholarGoogle Scholar |
Cary GJ, Keane RE, Gardner RH, Lavorel S, Flannigan MD, Davies ID, Li C, Lenihan JM, Rupp S , Mouillot F (2006) Comparison of the sensitivity of landscape-fire-succession models to variation in terrain, fuel pattern, climate and weather. Landscape Ecology 21, 121–137.
| Crossref | GoogleScholarGoogle Scholar |
Fernandes PM , Botelho HS (2003) A review of prescribed burning effectiveness in fire hazard reduction. International Journal of Wildland Fire 12, 117–128.
| Crossref | GoogleScholarGoogle Scholar |
Gill AM , McCarthy MA (1998) Intervals between prescribed fires in Australia: what intrinsic variations should apply? Biological Conservation 85, 161–169.
| Crossref | GoogleScholarGoogle Scholar |
Karafyllidis I , Thanailakis A (1997) A model for predicting forest fire spreading using cellular automata. Ecological Modelling 99, 87–97.
| Crossref | GoogleScholarGoogle Scholar |
Kirkpatrick JB , Dickinson KJM (1984) The impact of fire on Tasmanian alpine vegetation and soils. Australian Journal of Botany 32, 613–629.
| Crossref | GoogleScholarGoogle Scholar |
Marsden-Smedley JB (1998) Changes in the south-western Tasmanian fire regime since the early 1800s. Papers and Proceedings of the Royal Society of Tasmania 132, 15–29.
McCaw WL, Simpson G , Mair G (1992) Extreme wildfire behaviour in 3-year-old fuels in a Western Australian mixed Eucalyptus forest. Australian Forestry 55, 107–117.
Richardson CW (1981) Stochastic simulation of daily precipitation, temperature, and solar radiation. Water Resources Research 17, 182–190.
Shang BZ, He HS, Crow TR , Shifley SR (2004) Fuel load reductions and fire risk in central hardwood forests of the United States: a spatial simulation study. Ecological Modelling 180, 89–102.
| Crossref | GoogleScholarGoogle Scholar |
Van Wagner CE (1969) A simple fire-growth model. Forestry Chronicle 45, 103–104.
Wallace G (1993) A numerical fire simulation model. International Journal of Wildland Fire 3, 111–116.
| Crossref | GoogleScholarGoogle Scholar |
Weatherspoon CP , Skinner CN (1995) An assessment of factors associated with damage to tree crowns from the 1987 wildfires in Northern California. Forest Science 41, 430–451.