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Title:Anticipating future risks of climate-driven wildfires in boreal forests
Date:4/22/2024
Summary:

Boreal forests often bring to mind snowy tundra, vast bogs, and diverse fauna such as reindeer or moose. However, it is increasingly home to a large number of wildfire occurrences. From the large fires in Sweden in 2014 and 2018, to the devastating fires in Siberia in 2021 and Canada in 2023, boreal forests are facing unprecedented levels of disturbance from wildfire events. These serve as a harbinger of what is to come in the upcoming decades, not just to the arctic north, but to forests around the globe.

In their study published in the journal Fire, Shelby Corning and her colleagues, all researchers in IIASA's Biodiversity and Natural Resources Program, utilized their data-driven, algorithm-based wildfire climate impacts and adaptation model (FLAM) to project and analyze climate impacts on burned area estimates in the boreal zone.

The study explored future fire events under four climate change scenarios and two adaptation scenarios to better understand the role of temperature, precipitation, and suppression efficiency on burned area in the boreal ecosystem.

Corning and her colleagues found that their model performed well in reproducing historic burned areas with high accuracy when considering multiple climatic conditions, highlighting the importance of considering various scenarios when making projections for the future.

Her study emphasizes the outstanding impact of climate change on boreal wildfires: forested burned area is predicted to increase by up to four times present-day burned area by the end of the century if we do not take preventative measures, either through combating climate change (with the best-case climate scenario resulting in only minimal increases in burned area by 2100) or adaptation strategies such as improving fire suppression to within four days (which would lead to a nearly 50% reduction in burned area, even under the worst-case climate scenario).

Overall, the results were eye-opening: Without...

Organization:PHYS.ORG - Biology
Date Added:4/23/2024 6:39:01 AM
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