Risk & Decision Science

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.

Mitigating risk from wildfire is a balancing act

A better understanding of the economic, social and environmental consequences of major wildfires is important for reducing impacts to businesses, communities, individuals and ecosystems. Fire and land management agencies around the world invest significant resources to try to reduce the impacts of wildfires. Strategies are largely focused on fuel modification with the primary aim being the protection of human life and property. However, land and fire agencies have limited budgets for undertaking fuel management and this is further complicated by the environmental, social and financial risks of undertaking fire-based fuel treatments.

Risk modelling helps support land management decisions

Wildfire risk modelling increases our ability to predict fire behaviour and the associated impacts on human and environmental features. Our research is focused on helping agencies and organisations quantify fire risk decisions and optimise management expenditure to reduce the risk of fire to people, property and other assets. Our risk modelling approach provides a systematic method for assessing trade-offs between different management strategies, with estimates of residual risk and cost-effectiveness across a range of values and assets types. Through the FROST software developed by our team we also have the capacity to integrate future climate scenarios, enabling the assessment of risk under a changing climate. Our work in this field aims to provide robust calculations of risk (at the local and landscape scale) to assist decision making and inform on-ground management for a range of assets including people, property, economic, environmental, cultural and infrastructure.

We use a range of approaches to model risk across Australia

We use a range of modelling approaches to quantify risk and specialise in fire simulations, spatial data analysis, Bayesian Network modelling, fire regime simulations and expert elicitation. Our team is currently working on a range of projects across Australia, with a diverse range of research partners including both government and commercial agencies.

Projects we are currently working on in this field

Future fire regimes increase risks to obligate-seeder forests

Many species are adapted to a particular fire regime and major deviations from that regime may lead to localised extinction. Here, we quantify immaturity risks to an obligate-seeder forest tree using an objectively designed climate model ...

Quantifying catastrophic bushfire consequences for energy network providers

Electricity networks face a number of competing challenges, including the regulatory requirement to deliver a reliable, modernised system that can operate under a changing climate. It is therefore important that energy providers consider the ...

Bushfire reconstructions: Developing a data solution to support simulator evaluation

The compilation and analysis of large bushfire reconstruction datasets is an invaluable resource for both researchers and agencies. Exploration of past fires provides a unique opportunity to assess the accuracy and performance of bushfire ...

Fine-scaled prioritisation of prescribed burning

FLARE Wildfire Research is working closely with fire agencies in south-eastern Australia to model risk and the mitigation available from different management strategies. Much of this work generates landscape-scale insights into treatment ...

Characterising and managing fire risks to plantations under changing climates

Changing climates are creating significant fire risks to Australian plantations. Fires are predicted to become more frequent and intense, potentially resulting in increased plantation losses to wildfire. Existing fire simulation models do not ...

Fire risk modelling to support fire management within New South Wales

A comprehensive bushfire risk management framework currently exists in New South Wales (supported by legislation and policy). This framework provides a platform for the development of a Bushfire Risk Management Plan. In recent times there have ...

RFS4 Research into Building Performance during Bush Fires

The project is designed to conduct post-fire investigation of house loss in NSW. It will provide insight into the effectiveness and appropriateness of the existing regulatory framework relevant to building bushfire protection and associated ...

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 ...

Examining forest flammability pathways as a function of previous fire event severity

This Master of Science (Ecosystem Science) research project will examine the effect of past fire severity on subsequent fuel structure and fire hazard. By combining field work with remote sensing, this project will test approaches to using ...
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Other Capabilities

Fire & Forest Ecology

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 Behaviour

Fire behaviour research seeks to understand the mechanisms that govern fire spread and its interactions with vegetation, structures, and the built environment. Through innovative experiments and advanced modelling, we improve the prediction of fire behaviour, firebrand transport and ignition, and Wildland–Urban Interface fire dynamics.

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.

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