Extended Data Fig. 10: Performance of the multivariate drought regression model. | Nature

Extended Data Fig. 10: Performance of the multivariate drought regression model.

From: Hydraulic diversity of forests regulates ecosystem resilience during drought

Extended Data Fig. 10

Nine randomly selected sites of observed latent energy (LE) fluxes versus predicted fluxes from the multiple regression model based on VPD, soil moisture and their interaction. Red lines are the ordinary least-squares best-fit regression line. Sites are as follows (abbreviations can be found in Supplementary Table 1). a, US-UMB (R2 = 0.12, P < 0.0001). b, US-WCr (R2 = 0.13, P < 0.0001). c, DK-Sor (R2 = 0.11, P < 0.0001). d, IT-Ca1 (R2 = 0.44, P < 0.0001). e, IT-PT1 (R2 = 0.06, P = 0.002). f, IT-Ro1 (R2 = 0.10, P < 0.0001). g, JP-SMF (R2 = 0.40, P < 0.0001). h, NL-Loo (R2 = 0.25, P < 0.0001). i, US-NWR (R2 = 0.15, P < 0.0001). k, Performance of the drought multivariate ordinary least-squares linear regression model (LE = f(VPD, SM, VPD × SM) across eddy covariance sites shown in a histogram of site-level model P values from those regressions.