Table 5.
Linear models that best predict the within-population trait-associated diversity criterion (HeA) of studied traits from mean and climate variability indicators. The climate indicators included in each model are displayed as well as their estimated effect in the model (Estimate) and the P-value of their t-test (Pr > |t|). The coefficient of determination (R2) of the model is also displayed. Trait abbreviations are explained in Table 2
| HeA criterion | Regression model | Model R2 | ||||
|---|---|---|---|---|---|---|
| HeA_AHD | Intercept | meanPC1 | stdPC2 | 0.22 | ||
| Estimate | 1.2e−01 | 7.0e−04 | 7.8e−04 | |||
| Pr > |t| | 1.5e−112 | 9.4e−05 | 1.8e−04 | |||
| HeA_HDT | Intercept | stdPC3 | meanPC2 | 0.15 | ||
| Estimate | 1.5e−01 | 1.7e−03 | −6.1e−05 | |||
| Pr > |t| | 2.1e−99 | 1.4e−04 | 1.4e−03 | |||
| HeA_HFY | Intercept | stdPC1 | meanPC1 | 0.34 | ||
| Estimate | 7.0e−02 | 1.5e−03 | 9.3e−04 | |||
| Pr > |t| | 8.9e−76 | 2.4e−08 | 1.4e−04 | |||
| HeA_SPH | Intercept | stdPC1 | 0.09 | |||
| Estimate | 7.7e−02 | 1.2e−03 | ||||
| Pr > |t| | 2.2e−79 | 1.0e−05 | ||||
| HeA_SMH | Intercept | meanPC1 | stdPC2 | meanPC12 | 0.28 | |
| Estimate | 7.9e−02 | 5.8e−04 | 8.9e−04 | 2.4e−05 | ||
| Pr > |t| | 1.1e−61 | 1.5e−03 | 2.2e−03 | 2.4e−02 | ||
| HeA_WGS | Intercept | stdPC2 | stdPC1 | 0.38 | ||
| Estimate | 1.2e−01 | 1.6e−03 | 1.3e−03 | |||
| Pr > |t| | 9.8e−98 | 8.0e−10 | 5.3e−09 | |||
| HeA_YCH | Intercept | meanPC2 | stdPC1 | 0.25 | ||
| Estimate | 8.2e−02 | 1.9e−03 | 1.6e−03 | |||
| Pr > |t| | 1.0e−75 | 1.5e−03 | 5.3e−03 |