TABLE 3.
Results of multiple linear regressions (MLRs, stepwise model selection routine) for the effects of four main climate predictors on each of eleven leaf traits.
| AIC | R2 | P | |
| LL = −0.770 + 0.053MTWQ − 0.0004MASH + 0.025MRH | –1764.44 | 0.222 | <0.001 |
| LL/LW = −0.409 + 0.0003MASH | –1899.05 | 0.010 | 0.007 |
| LA = −1.752 + 0.108MTWQ − 0.001MASH + 0.055MRH | –894.01 | 0.242 | <0.001 |
| SLA = 2.415−0.029PDQ − 0.0004MASH + 0.017MRH | –2238.05 | 0.063 | <0.001 |
| SD = 2.233 + 0.011PDQ | –1778.69 | 0.007 | 0.027 |
| SL/SW = 0.840 − 0.010MTWQ + 0.0004MASH | –1369.42 | 0.017 | 0.003 |
| SA = 2.972 + 0.012MTWQ − 0.0003MASH | –1525.42 | 0.020 | <0.001 |
| SPI = 4.454 + 0.011MTWQ − 0.020PDQ | –1495.59 | 0.022 | <0.001 |
| Pmass = 0.174 − 0.023MTWQ + 0.014PDQ + 0.0002MASH | –2692.53 | 0.233 | <0.001 |
| Nmass = 8.095 − 0.189MTWQ | 238.20 | 0.124 | <0.001 |
| N/P = 38.743 + 0.340MTWQ − 0.577PDQ − 0.010MASH | 0.48 | 0.136 | <0.001 |
For each regression equation, significant climatic predictors are arranged in order of their importance (explanatory power for leaf trait variation; R2), with the strongest predictor (marked in bold) on the leftmost of the equation. Abbreviations of leaf traits and climatic factors are as specified in Table 2.