End User representatives
Fuel reduction burning is often patchy as a result of fuel and climatic conditions and inherent landscape-related features such as topography and soil moisture, with a strong sampling design required to capture this variation. In addition, as bushfires become larger they become more intense, having greater influence on soils and vegetation. It is unknown if the same situation arises with prescribed burning.
The relationships between burn size and soil, water, vegetation and fuel outcomes has yet to be quantified. The ability to predict the effects of prescribed burns of different size across landscapes is currently negligible.
To design a priori sampling scheme of prescribed burns with appropriate statistical power, it is important to define what a ‘small’ fire is compared to a ‘big’ fire.
Logically, larger fires will need to be sampled at a different scale and frequency than smaller fires.
To determine historical fire size, data relating to fire size, location and timing for the last 10 years will be used from NSW, Victoria, South Australia, Western Australia and Tasmania. Patterns in fire size and timing that will provide valuable information for the project’s sampling design are emerging.
The project has commenced fieldwork in Victoria and the ACT, reviewed current frameworks and decision systems for planning prescribed burning, and testing sampling schema by end-user agencies. End‑users have been engaged through formal and informal presentations and meetings.
The predictive model being developed by this project will quantify the optimisation of environmental service outcomes for water and carbon management against the effectiveness of the fuel reductions outputs. This will assist fire and land management agencies by giving them greater confidence in forecasting results for their actions.
Ultimately, this project will move research and management capabilities to its next logical focus – building a predictive model and framework for planning of prescribed burns.
This will help predict the impacts of fuel reduction burning on fuel loads, broad vegetation types and carbon and water potential (for example, capacity for carbon sequestration, water yield) of forests at a manageable spatial scale.
|21 Mar 2014||Optimisation of fuel reduction burning regimes for fuel reduction, carbon, water and vegetation outcomes||606.43 KB (606.43 KB)||fuel reduction, greenhouse gases, prescribed burning|
|04 Dec 2014||Optimising fuel reduction burning||605.15 KB (605.15 KB)||fire, fuel reduction, prescribed burning|
|02 Feb 2016||Research for better land management||133.76 KB (133.76 KB)||fuel reduction, land management, prescribed burning|
|22 Feb 2016||Optimisation of fuel reduction burning regimes - project overview||0 bytes (0 bytes)||fuel reduction, planning, prescribed burning|
Optimising fuel reduction burning at the landscape- or catchment-scale requires knowledge of the effects of fire size on key variables – Fuel load, Vegetation and Carbon and Water cycles.
Optimisation of prescribed burning requires a strong understanding of the underlying variability of fuel, vegetation and soil.
This project focuses on improving the capability of land managers to use prescribed fire to reduce fuel loads, while at the same time mitigating the risks of loss of water yield and carbon sequestration capacity.
|Fire spread prediction across fuel types||Dr Khalid Moinuddin||Victoria University|
|Mapping bushfire hazard and impacts||Prof Albert van Dijk||Australian National University|
|Disaster landscape attribution: thermal anomaly surveillance and hazard mapping, data scaling and validation||Prof Simon Jones||RMIT University|
|Mitigating the effects of severe fires, floods and heatwaves through improvements to land dryness measures and forecasts||Dr Imtiaz Dharssi||Bureau of Meteorology|
|Savanna fire management for North Australia||Adj Prof Jeremy Russell-Smith||Charles Darwin University|