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).
Buttongrass moorlands are widespread in western Tasmania. In these moorlands,
the ability to conduct burning without having to rely on hard fuel boundaries
(e.g. vegetation which is too wet to burn, water courses, mineral earth breaks
and/or roads) would be a major advantage to land managers. Such burning
relies on fires self-extinguishing and is normally referred to as unbounded
burning. The aim of this project was to model the probability of fires
extinguishing using the data from 156 buttongrass moorland fires. The
variables used were wind speed, dead fuel moisture and site productivity. The
model, derived from a combination of logistic regression and classification
tree modelling, predicts that fires will self-extinguish over a wide range of
conditions in low productivity moorlands but, in medium productivity
moorlands, the conditions within which fires will self-extinguish will be much
more restrictive. As a result, the technique of unbounded burning should be
widely applicable in low productivity moorlands, but will be of marginal
utility in medium productivity moorlands.
. The heights, diameters and regrowth basal areas of 22‐yr old fire‐initiated regeneration of Eucalyptus delegatensis ssp. tasmaniensis, E. urnigera, E. coccifera and E. johnstonii were measured over altitudinal, solar radiation and drainage gradients on Mt. Wellington, Tasmania. The growth rate responses to the altitude gradient‐complex vary from linear to curved depending on the performance measure, the species and the gradient. Much of the variation in growth rate appears to be a direct response to the physical environment. However, disparities between trends in growth rate and trends in re‐growth basal area are consistent with the hypothesis that competition (sensu Grime 1979) is more important in productive environments and less important in stressful environments. A glasshouse trial with Eucalyptus seedlings indicated that potential growth rates decline with increasing altitude of seed source.
This paper presents equations for fuel load and fuel hazard rating (FHR) models based on the time since last fire for dry eucalypt forests in eastern Tasmania. The fuel load equations predict the load of the surface/near-surface and elevated fine fuel. The FHR equations predict the surface, near-surface, combined surface and near-surface, bark, and overall FHR. The utility of the “Overall fuel hazard assessment guide” from Victoria, Australia, is assessed for Tasmanian dry eucalypt forests: we conclude that, when fuel strata components are weighted according to their influence on fire behaviour, the Victorian guide provides a rapid, robust, and effective methodology for estimating FHR. The equations in this paper will be used for operational planning and on-the-ground performing of hazard reduction burning, prediction of fire behaviour for fire risk assessments and bushfire control, and providing inputs into the new Australian Fire Danger Rating System.
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