There is no longer any question of how to prevent high-intensity, often catastrophic, wildfires that have become increasingly frequent across the Western U.S., according to a new study by researchers at Columbia University Mailman School of Public Health and Stanford University.
The analysis reveals that low-intensity burning, such as controlled or prescribed fires, managed wildfires, and tribal cultural burning, can dramatically reduce the risk of devastating fires for years at a time. The findings are some of the first to rigorously quantify the value of low-intensity fire and be released while Congress is reassessing the U.S. Forest Service’s wildfire strategy as part of reauthorizing the Farm Bill. The study was published in Science Advances.
The research, which focused on California, comes almost exactly five years after the state suffered its deadliest wildfire on record, the Camp Fire.
“It’s no secret that wildfire-prone regions need to shift from a single-minded focus on suppression to one that includes much more controlled burning and forest resilience,” said Xaio Wu,” assistant professor of biostatistics at Columbia Mailman School of Public Health and lead author, who worked on the paper as a Data Science Fellow at Stanford. “However, until now, studies assessing the beneficial effects of prescribed and low-intensity fires have been limited to relatively small areas, such as a single wilderness area or watershed.”
For this paper, the researchers reviewed 20 years of satellite monitoring of wildfires across more than 100,000 square kilometers of California forests. The team – fire policy experts, public health scientists, and statistical and machine learning researchers – harmonized multiple state-wide datasets on fuel characteristics and fire behavior, including fire intensity (measured by the amount of energy released) and fire severity (measured by the ecosystem impacts of large fires).
The authors measured the protective effect of low-intensity fires using a method that assembled unburned areas into a synthetic landscape closely resembling the burned landscapes’ attributes, such as weather patterns, elevation, vegetation type, and disturbance history. This approach allowed them to assess how these burned landscapes might have evolved had they not burned in that same year – and compare these counterfactuals to their actual evolution throughout time.
Using this approach, the researchers were able to quantify the reduced risk of high-intensity fires after a low-intensity fire burns in a forestland, and then see how long the protective effect lasts. They found that low-intensity fire in mixed conifer forests in California initially provides a 60 percent reduction in risk of catastrophic fire, and this effect lasts at least six years but diminishes over time. They also found a smaller but still significant reduction in risk in oak-dominated forests.
According to Wu and colleagues at Stanford, policymakers could use the study’s results as a foundation for future evaluation of wildland fuel treatments by comparing the quantified benefits to potential costs and risks associated with its implementation. The timing is good: The U.S. Forest Service has proposed treating nearly 200,000 square kilometers (about 50 million acres) over the next decade through a mixture of fuel treatment strategies. California has proposed increasing the amount of land it treats for wildfires to 2,000 square kilometers (about 500,000 acres) annually.
To be effective, wildland fuel treatments, including prescribed burning, have to be ongoing, periodic maintenance rather than a one-time intervention for forests that are adjacent to communities or critical infrastructure, the researchers write. The risk mitigation benefit of low-intensity burning will depend heavily on careful selection and targeting of the intervention to provide maximum protection for people, communities, and ecosystems.
“This study exemplifies how data science can contribute to climate mitigation through a highly multidisciplinary collaboration,” said Wu. “Wildfires present substantial threats to both our ecosystems and human well-being. As scientists, our constant goal is to find practical solutions.”
“I’m hopeful that policymakers will rely on this work as motivation and support for the scale-up of beneficial fire as a key strategy in preventing wildfire catastrophes,” said study co-author Michael Wara, director of the Climate and Energy Policy Program at the Stanford Woods Institute for the Environment. “Beneficial fire is not without its own risks – but what our study shows is just how large and long-lasting the benefits are of this crucial risk reduction strategy,” said Wara, who is also senior director of policy for the Sustainability Accelerator at the Stanford Doerr School of Sustainability.
Coauthors of the study include Erik Sverdrup, Graduate School of Businss, Stanford; Michael Mastrandrea, Stanford Woods Institute for the Environment; and Stefan Wager, Stanford Graduate School of Business and School of Humanities and Sciences.
The study was funded by the National Institutes of Health and Stanford Data Science.
Founded in 1922, the Columbia University Mailman School of Public Health pursues an agenda of research, education, and service to address the critical and complex public health issues affecting New Yorkers, the nation and the world. The Columbia Mailman School is the fourth largest recipient of NIH grants among schools of public health. Its nearly 300 multi-disciplinary faculty members work in more than 100 countries around the world, addressing such issues as preventing infectious and chronic diseases, environmental health, maternal and child health, health policy, climate change and health, and public health preparedness. It is a leader in public health education with more than 1,300 graduate students from 55 nations pursuing a variety of master’s and doctoral degree programs. The Columbia Mailman School is also home to numerous world-renowned research centers, including ICAP and the Center for Infection and Immunity. For more information, please visit www.mailman.columbia.edu.
This article first appeared in Newswise.
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