Table 1: Pearson correlation coefficients (r) between trait means (means) or variances (vars) based on species occurrences and those based on species ranges maps. is woody habit, is herbaceous habit. * indicates significant correlation (p<0.05) and (*) indicates marginally ’W’ ’H’ significant correlation (p<0.1) when accounting for the effect of space using Duttieul’s method. r (vars) Trait Habit r (means) Height Trees 0.844* 0.604* Height Herbs 0.552* 0.605 SLA Trees 0.695* 0.473* SLA Herbs 0.413* 0.315(*) Seed mass Trees 0.891* 0.470* Seed mass Herbs 0.186* 0.281* Leaf N Trees 0.708* 0.571* Leaf N Herbs 0.237* 0.282(*) Leaf P Trees 0.768* 0.285* Leaf P Herbs -0.003 0.244* Wood density Trees 0.762* 0.055* Table 2: The best models explaining trait means and variances of each trait selected according to AIC weight. Coefficients below each explanatory variable are standardized and indicate the relative contribution of this variable to each model. The number of terms in the model output is limited to a maximum of six. See Table S3.2 for the reults concerning unlimited number of terms and Table S3.3 for Lasso model selection. is woody habit, is herbaceous habit, is mean annual temperature, is annual precipitation, is temperature ’W’ ’H’ ‘T’ ‘P’ ‘TS’ seasonality, is precipitation seasonality, is aridity index (P/PET) and is annual solar radiation. Each variable is represented by ’PS’ ’Arid’ ’Solar’
Table 1: Pearson correlation coefficients (r) between trait means (means) or variances (vars) based on species occurrences and those based on species ranges maps. ’W’ is woody habit, ’H’ is herbaceous habit. * indicates significant correlation (p<0.05) and (*) indicates marginally significant correlation (p<0.1) when accounting for the effect of space using Duttieul’s method. Trait Habit r (means) r (vars) Height Trees 0.844* 0.604* Height Herbs 0.552* 0.605 SLA Trees 0.695* 0.473* SLA Herbs 0.413* 0.315(*) Seed mass Trees 0.891* 0.470* Seed mass Herbs 0.186* 0.281* Leaf N Trees 0.708* 0.571* Leaf N Herbs 0.237* 0.282(*) Leaf P Trees 0.768* 0.285* Leaf P Herbs -0.003 0.244* Wood density Trees 0.762* 0.055* Table 2: The best models explaining trait means and variances of each trait selected according to AIC weight. Coefficients below each explanatory variable are standardized and indicate the relative contribution of this variable to each model. The number of terms in the model output is limited to a maximum of six. See Table S3.2 for the reults concerning unlimited number of terms and Table S3.3 for Lasso model selection. ’W’ is woody habit, ’H’ is herbaceous habit, ‘T’ is mean annual temperature, ‘P’ is annual precipitation, ‘TS’ is temperature seasonality, ’PS’ is precipitation seasonality, ’Arid’ is aridity index (P/PET) and ’Solar’ is annual solar radiation. Each variable is represented by
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