By analyzing 100,000 California Department of Forestry and Fire Protection inspection records from 2013 to 2024, researchers at the University of California, Irvine have identified the key environmental and human factors responsible for the most destructive wildfires, and they have synthesized the knowledge into a high-resolution, actionable fire risk map for the Golden State.
The team, from UC Irvine's Department of Civil and Environmental Engineering, learned that during the 12-year study period, nearly 55,000 buildings were completely destroyed or partially damaged by fire and that 86% of those structures were in wildland-urban interface zones where nature meets development. The findings are outlined in a paper published in Science Advances.
"We uncovered predictable features in how buildings are destroyed in California's wildfires, which shows that the damage pattern is not random," said lead author Somnath Bar, a UC Irvine postdoctoral scholar in civil and environmental engineering. "We have found that by identifying the precise combination of structural, environmental and weather factors involved, we can establish a comprehensive, physically interpretable framework to explain, model and project which buildings are most likely to be damaged or destroyed by fire."
"As fire season stretches longer into the year and blazes devastate communities across California, the need for precise, actionable fire risk data has never been greater," said Assemblywoman Cottie Petrie-Norris (D-Irvine). "Good policy starts with good data. UC Irvine's new fire risk map gives California exactly that—a clear picture of where the danger is greatest, so we can invest in smarter building practices, targeted fuel reduction and data-driven planning before disaster strikes rather than after."
Connecting landscape fires to buildings
In the paper, the researchers point to environmental elements such as low dew-point temperatures, trackable by instruments, that indicate elevated atmospheric dryness. Coupled with high wind speeds, this aridity can greatly amplify the probability of property destruction in a fire. California's natural environment, including its grasslands, mesic chaparral and mixed oak woodland areas, serves as a pathway connecting landscape fires to buildings.
The growing tendency of people to build homes in the wildland-urban interface, near the source of forest fires, has resulted in significant property damage, the researchers said. Construction in the WUI increased in the U.S. by roughly 33% between 1990 and 2010, adding over 12 million new structures. Between 2020 and 2022, more than 80% of new homes built in California were in high fire-risk areas. Many of these WUI zones exist in middle elevations, about 500 meters (1,640 feet) above sea level, where moderate slopes channel wind that can accelerate fire spread and intensity.
According to the researchers, the way buildings are designed and the materials used in their construction can also lead to heightened risk of fire damage. These elements include wooden fences, flammable siding, protruding eaves and vents that can catch burning embers as they drift through the air, resulting in ignitions.
"Fire risk is compounded when these building practices come face to face with environmental factors like atmospheric aridity, high heat, wind and dry fuels such as trees, shrubs and grasses," said co-author Tirtha Banerjee, UC Irvine associate professor of civil and environmental engineering.
A map built from layered risk
The Palisades and Eaton fires in Southern California, which destroyed more than 16,000 structures in January 2025, demonstrated the catastrophic potential of Santa Ana wind-driven firestorms combined with topographical attributes such as proximity to forests, sloped terrain and canyons that channel and accelerate airflow.
The UC Irvine team took these variables and more into account to develop its Wildfire Building Damage Risk Index, a first-of-its-kind, 100-meter-resolution, continuous damage probability map covering all of California. The WBDRI integrates satellite-derived environmental data, gridded fire-weather analyses and building-level structural attributes into a machine learning framework.
The researchers tested three successive model configurations, adding building flammability ratings, weather variables and environmental exposure factors, achieving as high as 88% prediction accuracy. Bar said the result is a spatially explicit, actionable tool for risk forecasting, defensible space planning and the development of climate-resilient infrastructure.
"Local jurisdictions and homeowners can use the WBDRI map to prioritize defensible space inspections and fuel reduction investments in zones where the probability of damage exceeds 0.55, the threshold where the return on investment for structural hardening and vegetation management is highest," he said.
"The strong influence of building flammability on damage tells us something encouraging: Homeowners and communities are not powerless," Bar continued. "Replacing wood fencing, upgrading siding to noncombustible materials, retrofitting eaves and installing ember-resistant vents can substantially reduce the probability that a structure is lost in a wildfire."
Where the findings can be used
He noted that the study's findings carry actionable implications at multiple scales. At the state and regional levels, the WBDRI provides a map of damage risk that can be integrated into land-use planning, insurance risk pricing and emergency management frameworks. At the community level, fire agencies can use it to determine where pre-fire mitigation investments will have the greatest impact. At the household level, the research provides a clear, evidence-based checklist for structural hardening, starting with fences, siding, eaves and roofing.
The researchers say they would like to see agencies adopt strategies combining stricter building codes, forward-looking land-use planning and active vegetation management, particularly in WUI zones. As fire weather conditions intensify, the team argues, such integrated, data-driven approaches are essential for protecting California's communities and built environment.
Publication details
Somnath Bar et al, Explaining building damage from wildfires in California, Science Advances (2026). DOI: 10.1126/sciadv.aed4197
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Citation: California wildfire damage risk map uses factors most closely linked to severe property losses (2026, July 27) retrieved 28 July 2026 from https://phys.org/news/2026-07-california-wildfire-factors-linked-severe.html
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