Extended Data Fig. 2: Performance and response functions of the resilience model.
From: Emerging signals of declining forest resilience under climate change
(a) Observed versus modelled long-term \({TAC}\). Number of binned records (N), coefficient of determination (R2), mean squared error (MSE) and percent bias (PBIAS) are shown in labels, while the frequency distribution in color. (b) Predictors of \({TAC}\) and corresponding variable importance based on the random forest regression model of forest resilience. The four categories of environmental predictors are identified with hatched fill patterns; whereas the colors distinguish the different variables. (c) Dependence of \({TAC}\) on predictors of forest density. (d), (e) and (f) as (c) but for predictors of background climate, climate variability and autocorrelation, respectively.