Landscape Flammability

Environmental and human factors can strongly influence fire behaviour by changing the vegetation. Understanding the role of these influencing factors and the contribution of vegetation itself to fire behaviour is vital to better estimate landscape flammability.

Understanding what drives spatial and temporal variation in landscape flammability is critical for assessing fire risk.

Wildfires burn under varying climatic and weather conditions through complex landscapes that have a high degree of variation in vegetation, fuel moisture, topography and the location of vulnerable assets. The nature of fire varies greatly through space and time; some years high levels of rainfall may mean few wildfires that pose little threat to human values. Other years, particularly during periods of drought, the potential for uncontrollable wildfires is high. Therefore, an understanding of the processes which drive spatial and temporal variation in landscape flammability is critical for assessing fire risk.

Laboratory, landscape and key environmental drivers

At FLARE, we study landscape flammability from two different perspectives – the development of methods to extend laboratory research to large scales; and the development of methods to extract information from in-field and remotely sensed fire observations to determine the roles of key environmental drivers (i.e. dryness, vegetation type). This will enable the processes that drive flammability at landscape scales to be better understood, and identify potential levers that managers can use to influence future fire risk.

Landscape flammability research themes are wide ranging

Themes include:

  • Flammability windows – research spanning multiple scales using laboratory experiments, field observations and spatial analyses to quantify the conditions when fires are likely to occur across the landscape.
  • Plant traits as determinants of flammability – investigations linking plant traits to flammability to better quantify the fundamental drivers of plant flammability. 
  • Landscape fuel moisture – research to quantify the drivers of fuel moisture at landscape scales and to evaluate a range of moisture metrics as predictors of flammability.
  • Environmental fuel models – field measurements and modelling to quantify changes to fuel loads and structure over time in response to environmental and human factors.
  • Landscape fuel management – research to support the implementation of different fuel management approaches (e.g. burning, mechanical treatments).

Projects we are currently working on in this field

Identifying and defining landscape dryness thresholds for fires

Understanding how the dryness of the landscape influences the likelihood and nature of fires is critical for risk planning for fire and land managers. Consequently, there has been a large amount of research to develop landscape dryness ...

Quantify fire behaviour effects of Blackberry in pine plantations and developing predictive models for incorporating woody weed encroachment into bushfire risk management plans and the Australian Fire Danger Rating System

Managers of pine plantations note that at various different age classes and after thinning, plantations are often heavily impacted by woody weed encroachment, primarily blackberry. They hypothesise that blackberry is a contributor of rate of ...

Restoration of eucalypt forest in Wilsons Promontory National Park- Implications for forest values and site and landscape flammability

Wilsons Promontory provides an example of how repeated short interval fires can prevent the regeneration of a Eucalyptus canopy in a range of ecological vegetation classes. The ‘destocking’ of forests can dramatically alter the composition, ...

Evaluation of terrestrial laser scanning technology for the assessment of fuel hazard metrics

Fue hazard data are collected in the field for a range of purposes including rapid fuel evaluations during bushfires, assessing the effectiveness of fuel management, and developing and refining fire behaviour models. This research aims to ...

Invasive plants and their impacts on landscape wildfire risk

This PhD research is focussed on understanding how invasive plant species alter fire regimes, initiate invasion-fire cycles and increase landscape wildfire risk. A functional trait-based approach will be used to investigate mechanisms of ...

Reducing landscape fire risk with green fire breaks

Currently in Australia the biodiversity crisis and wildfire risks are in direct opposition to one another. Increased wildfire risks under climate change place pressures on sectors and organisations attempting to revegetate the landscape and ...

Mulching as a fuel management technique

Fire managers use a range of methods to manage fuels as a means of reducing bushfire risk. Mulching is one such method where the understorey vegetation is shredded, chipped or mulched to reduce the bushfire hazard and make fire suppression more ...

Leaf to landscapes: what influences litter bed flammability?

Many fires start and spread in the litter bed, so understanding the factors which influence litter bed flammability is important for predicting fire occurrence. Litter load, arrangement and moisture content are well-known drivers of litter ...

Wet forest ignitability

Wet eucalypt forests (dominated by Mountain Ash or Alpine Ash) are usually too wet to burn but when they dry out enough to become flammable they are one of our most dangerous fuel types. Despite this fire threat, we understand very little about ...
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Other Capabilities

Future Fire

Predicted hotter and drier climates will modify wildfire intensity, extent, frequency, and seasonality. The Future Fires program will use strategic foresight and cutting-edge models to anticipate and help prepare for the wildfires of the future.

Ecosystem Interactions

Our work aims to understand how fire regimes affect plants, animals and ecosystem function and in-turn how ecological processes such as post-fire vegetation growth interact to influence fire behaviour and risk.

Fire Risk Modelling

Fire risk modelling provides robust calculations of risk at local and landscape scales. This helps to guide decision-making and management for assets including people, property, economic, environmental, cultural and infrastructure.

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