Increasing fire frequency and severity now poses a threat to most of the world's wildlands and forested ecosystems and their benefits. The HMV (Heat–Moisture–Vapor) model is a tool to manage fuels to help mitigate the consequences of fire and promote soil and vegetation recovery after fire. The model's performance is surprisingly good, but it also provides insights into the existence of previously unobserved feedbacks and other physical processes that occur during fire.

Ecosystem flux networks measure carbon dioxide and water vapor exchange and are integral to global studies of the biosphere and climate change. Yet recent evidence suggests a measurement error in sonic anemometry, the principal instrument for eddy-covariance research. A novel Bayesian analysis estimates the three-dimensional correction in these instruments and demonstrates that 60 % of the sites within the AmeriFlux network and numerous others globally underestimate all ecosystem fluxes by 8–12 %.