Housing and Economic Recovery as Interdependent Pathways in the Wake of Wildfires
Highlights
- Introduced an integrated housing-economic recovery framework that links post-wildfire housing stability to local employment conditions and economic diversity.
- Demonstrated how traditional vulnerability tools like SoVI overlook hidden and dynamic vulnerabilities, especially among renters, seasonal workers, and undocumented residents.
A Negative Fire–Vegetation Feedback Substantially Limits Reburn Extent Across the North American Boreal Biome
The North American boreal biome (NAB) is warming at 2–4 times the mean global rate, contributing to increasing wildfire activity. The degree to which this trend alters biome-level feedbacks to global climate depends on how strongly bottom-up feedbacks between fire and vegetation dampen the effects of climate drivers.
Comparative Analysis of Ensemble and Deterministic Models for Fire Weather Index (FWI) System Forecasting
Accurate fire weather forecasting is essential for effective wildfire management, particularly in regions increasingly affected by extreme fire activity such as British Columbia and Alberta, Canada.
Showy dragonflies are being driven extinct by warming and wildfire
Rising temperatures may disrupt reproduction before becoming lethal; thus mating traits could define species vulnerability to warming.
Long-range PM2.5 pollution and health impacts from the 2023 Canadian wildfires
Morphological and physiological response of conifer seedlings to drought conditioning
Increased frequency, severity, and duration of droughts and increased wildfire severity are impacting many conifer forests globally. Reforestation in these changing disturbance regimes requires tree seedlings capable of establishing in hotter and drier climates.
Projections of Lightning-Ignited Wildfire Risk in the Western United States
Cloud-to-ground (CG) lightning is a major source of summer wildfire ignition in the western United States (WUS). However, future projections of lightning are uncertain since lightning is not directly simulated by most global climate models. To address this issue, we use convolutional neural network (CNN)-based parameterizations of daily June-September CG lightning.
Extreme Weather Magnifies the Effects of Forest Structure on Wildfire, Driving Increased Severity in Industrial Forests
Despite widespread concern over increases in wildfire severity, the mechanisms underlying this trend remain unclear, hampering our ability to mitigate the severity of future fires.
Intensifying Fire Season Aridity Portends Ongoing Expansion of Severe Wildfire in Western US Forests
Area burned by wildfire has increased in western US forests and elsewhere over recent decades coincident with warmer and drier fire seasons. However, high–severity fire—fire that kills all or most trees—is arguably a more important metric of fire activity given its destabilizing influence on forest ecosystems and direct and indirect impacts to human communities.