Applying a two-stage generalized synthetic control approach to quantify the heterogeneous health effects of extreme weather events: A 2018 large wildfire in California event as a case study.

Extreme weather events, including wildfires, are becoming more intense, frequent, and expansive due to climate change, thus increasing negative health outcomes. However, such effects can vary across space, time, and population subgroups, requiring methods that can handle multiple exposed units, account for time-varying confounding, and capture heterogeneous treatment effects. In this article, we proposed an approach based on staggered generalized synthetic control methods to study heterogeneous health effects, using the 2018 California wildfire season as a case study.

increases its inoculum potential in heated soil independent of competitive release from other ectomycorrhizal fungi.

is a rarely collected ectomycorrhizal fungus that has been found primarily in California and southern Oregon. Prior work has shown that it (i) is common in soil spore banks associated with pine forests from these areas; (ii) is rare or absent on trees in undisturbed forests in these same areas; (iii) exhibits an increased abundance on pine seedlings following fire or experimental soil heating; and (iv) has spores that are more resistant to heat than those of several other ectomycorrhizal species tested to date. Here, we reject the hypothesis that the increased abundance of the species following soil heating is caused only by reduced competition with other ectomycorrnizal fungi and show instead that heating alone significantly increases the inoculum potential of its spores.