Extended Data Fig. 1: Biogeophysical and surface energy flux changes in summer (June–August) one year after fire and their amplification by fire size over northern forests (40°N–70°N).
From: Forest fire size amplifies postfire land surface warming
The first and third columns show the mean values of postfire changes in land surface temperature (ΔT, a), outgoing longwave radiation (ΔLWout, c), surface albedo (Δα, e), reflected shortwave radiation (ΔSWout, g), ecosystem evapotranspiration (ΔET, i), latent heat flux (ΔLE, k), the sum of sensible and ground heat fluxes (Δ(H + G), m) and net radiation (ΔRn, n) by averaging all fires within each 2° grid cell. The second and fourth columns show linear regression slopes (β) derived by fitting a linear regression model (y = α + β × log10(fire size)) for each 2° grid cell with more than 10 fires. In the regression model, y stands for ΔT (b), ΔLWout (d), Δα (f), ΔSWout (h), ΔET (j), ΔLE (l), Δ(H + G) (n), and ΔRn (p). Both solid and empty dots indicate pixels with locally significant regressions (p < 0.05, the two-tailed t-test), but solid dots indicate those having passed a more rigorous field significance test corrected for the false discovery rate (αFDR = 0.10, see Methods). The light grey background in all maps indicates northern forests with a > 10% ground coverage. Figure developed using the Python open-source tools.
