The ANU reports that early bushfire detection could save the Australian economy $8.2 billion over the next 30 years, according to new modelling from The Australian National University (ANU).

The paper states: A key determinant of whether a fire ignition turns into a large and costly fire is the size of the fire when fire suppression resources arrive. The more quickly fire suppression resources arrive at the fire ground (the initial attack delay) the smaller the fire will be at the time of first attack response and the better the chances of the fire being contained before it can do significant economic damage. One of the ways of responding more quickly to fires is to increase how quickly fires are detected through investments in early fire detection system.

The research, led by the ANU Centre for Social Research and Methods, examined how much money would be saved between 2020 and 2049 under three fire detection scenarios: a 30-minute reduction in detection time for large fires; a 60-minute reduction in detection time for large fires; and all fires, large and small, responded to within 30 minutes.

The modelling also accounts for a potential increase in bushfires due to climate change – with no growth in fires, a 15 per cent increase in fires due to climate change, and a 30 per cent increase in fires due to climate change.

The researchers found that under a high climate change scenario and if all fires were responded to within 30 minutes the economy would save $8.2 billion in 2019 terms.

Study co-author, Professor Matthew Gray, said between 2020 and 2049 bushfires were likely to cost the Australian economy up to $1.1 billion per year.

“And that’s if we don’t factor in a potential increase in fires due to climate change,” he said.

“But, our modelling shows that if we invest in the ability to detect large fires earlier, there are significant economic savings. For example, the cost of bushfires under a high climate change scenario and no change in fire detection times could rise as high as $2.4 billion per year by 2049. But with early detection this decreases to around $1.9 billion per year.

“Bushfires don’t just have a terrible economic cost – they destroy habitats and homes, kill wildlife and people and leave our landscape struggling to recover for years to come.

“So investing in early detection won’t just lead to economic benefits; it will lead to a range of extremely important non-economic returns.”

Study co-author, Professor Nicholas Biddle, said investing in early fire detection had the potential to offer a powerful practical tool to reduce bushfire risk, particularly in the context of climate change.

“Despite the importance of climate change to the current and future distribution of fires in Australia, Australia can only make a small contribution alone, and policy returns are likely to be far into the future. Other strategies are also needed,” he said.

“Research shows one of the key predictors of whether a fire turns into a large and costly fire is the time between ignition and first attack response.

“The sparse geographic distribution of populations in Australia also mean that fires may not be detected in a sufficient time to deploy resources before they reach a size that makes them uncontrollable, particularly without significant investment in remote detection resources.

“Investing in early detection has the potential to help meet these not insignificant challenges.”

The modelling also shows that earlier fire detection which reduces bushfire risk would have significant economic benefits across a range of scenarios.

Under a scenario that sees no increase in fires due to climate change, a 30-minute reduction in detection of large fires saves $2.6 billion, while a 60-minute reduction in detection time saves $5.7 billion (in 2019 dollar values). This increases to $7.5 billion if all fires are responded to within 30 minutes. 

Under a moderate climate change scenario, which sees a 15 per cent increase in fires, a 30-minute reduction in detection time saves $2.7 billion, while a 60-minute reduction in detection time saves $6 billion (in 2019 dollar values). This increases to $8.2 billion if all fires are responded to within 30 minutes.

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