TABLE 1.
Model | Est. | 2.5% | 97.5% | p | OR [95% C.I.] | VIF | AIC | |
---|---|---|---|---|---|---|---|---|
M1 | Intercept | −6.38 | −11.21 | −2.19 | <.01 | 0.22 [0.11, 0.39] | 94.4 | |
Number of leaves | −0.36 | −0.58 | −0.17 | <.01 | 0.27 [0.12, 0.54] | 1.51 | ||
Mean leave length (cm) | 0.16 | 0.10 | 0.23 | <.01 | 5.54 [2.84, 12.05] | 1.88 | ||
CV leave length (cm) | −0.02 | −0.06 | 0.03 | .28 | 0.77 [0.48, 1.46] | 1.08 | ||
Mean leave width (cm) | 0.31 | −0.43 | 1.09 | .42 | 1.28 [0.71, 2.42] | 1.06 | ||
CV leave width (cm) | 0.17 | 0.05 | 0.31 | <.01 | 2.24 [1.25, 4.27] | 1.33 | ||
M2 | Intercept | −5.44 | −8.64 | −2.70 | <.01 | 0.23 [0.12, 0.40] | 92.2 | |
Number of leaves | −0.36 | −0.59 | −0.17 | <.01 | 0.27 [0.12, 0.53] | 1.54 | ||
Mean leave length (cm) | 0.16 | 0.10 | 0.24 | <.01 | 5.68 [2.95, 12.3] | 1.77 | ||
CV leave width (cm) | 0.18 | 0.06 | 0.31 | <.01 | 2.32 [1.34, 4.32] | 1.25 |
Note: The presence/absence of T. neglectus was entered as the response variable in a full model (M1) containing all predictors (see ‘Section 2’), which was automatically optimized (M2) to retain the predictors yielding the best fit to the data (i.e. lower AIC score). Odds ratios (OR) with their respective 95% confidence intervals and the variance inflation factor (VIF) scores were calculated for each predictor.
Abbreviations: Est., estimate; CV, coefficient of variation; SE, standard error.