Extended Data Fig. 3: The diversity − stability relationships (DSRs) across multiple spatial scales, based on partial regression models after controlling for the effects of climatic factors (N = 36 sites).
From: Consistent stabilizing effects of plant diversity across spatial scales and climatic gradients
Shown are the log−log relationships between α diversity and α stability at the quadrat level (A, F1,34 = 10.2, R2 = 0.23, P = 0.003), between γ diversity and γ stability at the plot level (B, F1,34 = 9.00, R2 = 0.21, P = 0.005), between τ diversity and τ stability at the site level (C, F1,34 = 10.02, R2 = 0.23, P = 0.003), between \(\beta _D^{\alpha \to \gamma }\) and \(\beta _S^{\alpha \to \gamma }\) across quadrats (D, F1,34 = 7.92, R2 = 0.19, P = 0.008), between \(\beta _D^{\gamma \to \tau }\) and \(\beta _S^{\gamma \to \tau }\) across plots (E, F1,34 = 6.57, R2 = 0.16, P = 0.015), and a comparison of regression slopes across scales using ANCOVA (F, F2,102 = 0.77, P = 0.466 among quadrat, plot, and site levels; F1,68 = 0.13, P = 0.722 between across-quadrat and across-plot levels), respectively. Lines represent DSRs from the partial linear regression models (p-LMs) after accounting for the effects of mean annual precipitation and mean annual temperature. Shaded areas are the error bands and denote 95% confidence intervals; and significance levels are as follows: ‘*’: P ≤ 0.05 and ‘**’: P ≤ 0.001. In (F), bars and error bars are regression coefficients and standard errors from p-LMs (n = 36 for all) in (A − E). Note that in (F), pairwise comparisons between quadrat, plot, and site levels are non-significant (P > 0.1 for all). Information about the fitted models is provided in Supplementary Table 2.
