Table 2.
Predictor | Std. Est. | SE | df | t | p |
---|---|---|---|---|---|
(Intercept) | 1.53 | 0.07 | 39 | 22.8 | <.001 |
Site B | 0.22 | 0.04 | 304 | 5.4 | <.001 |
Elevation (log) | −0.04 | 0.02 | 219 | −2.0 | .042 |
Herbivore damage (log) | 0.07 | 0.01 | 10,120 | 10.9 | <.001 |
Tree species richness (log) | −0.05 | 0.01 | 208 | −3.7 | <.001 |
Initial wood volume (log) | −0.02 | 0.01 | 10,020 | −2.6 | .011 |
PC1morph | 0.16 | 0.06 | 32 | 2.8 | .009 |
PC2chem | −0.06 | 0.06 | 31 | −1.0 | .334 |
Niche breadth (log) | −0.03 | 0.06 | 34 | −0.4 | .658 |
Niche marginality (log) | 0.10 | 0.05 | 32 | 2.0 | .055 |
Herbivory:PC1morph | 0.02 | 0.01 | 10,110 | 3.2 | .001 |
Herbivory:PC2chem | −0.02 | 0.01 | 10,120 | −3.2 | .001 |
Herbivory:niche breadth | −0.03 | 0.01 | 10,120 | −3.7 | <.001 |
Tree richness:niche breadth | −0.03 | 0.01 | 2,286 | −3.3 | <.001 |
Tree richness:PC2chem | 0.01 | 0.01 | 1,459 | 2.0 | .046 |
Standardized parameter estimates (with standard errors, degrees of freedom, t and p values) are shown for the variables retained in the minimal model. Nonsignificant terms retained in the minimal models are italicized. Log‐transformed predictors are indicated by (log). Colons indicate interactions between two predictors. PC1 and PC2 = scores of the first and second principal component of a PCA on morphological or chemical leaf traits (see Tables S1, S2).