Table 1.

Summary of model performance in the $R^{2^{\mathrm{\star }}}$ test measured via cross-validation

Variable	Mass OLS	Teeth LARS(3)	Teeth LARS	Species OLS	All OLS
PREC	0.07	0.38	0.41(2)	0.62	−1.46
PREC_MIN	−0.11	0.36	0.36(3)	0.41	−0.07
PREC_low	0.36	0.53	0.53(3)	0.55	−0.64
PREC_MAX	−0.05	−0.01	0.31(6)	0.47	−0.51
PREC_high	−0.09	0.24	0.24(3)	0.45	−2.07
NPP	0.28	0.51	0.54(2)	0.59	−1.64
NPP_MIN_MIN	−0.08	0.40	0.41(1)	0.42	−0.06
NPP_low_low	0.38	0.65	0.65(3)	0.33	−0.46
NPP_low_MIN	−0.05	0.40	0.44(1)	0.43	−0.21
NPP_MIN_low	0.33	0.55	0.55(3)	0.57	−0.52
NDVI	0.11	0.26	0.26(3)	0.64	−1.59
NDVI_MIN9y	0.13	−0.08	0	0.28	−1.51
NDVI_low1y	0.29	0.26	0.29(1)	0.68	−1.27
NDVI_low1y_MIN	0.10	0.20	0.22(4)	0.60	−1.68
NDVI_low	0.12	0.27	0.27(3)	0.64	−1.43
NDVI_low_MIN	0.23	0.33	0.35(4)	0.72	−0.65
TEMP	−0.15	−0.05	0.09(1)	0.22	−0.95
TEMP_MIN	−0.13	0.03	0.08(1)	0.20	−0.72
TEMP_low	−0.21	−0.37	0.07(6)	0.15	−0.95
TEMP_low_MIN	−0.19	−0.33	0	0.14	−0.80
TEMP_MAX	−0.17	−0.12	0.09(1)	0.22	−1.08
TEMP_high	−0.11	0.23	0.23(3)	0.26	−0.92
TEMP_high_MAX	−0.12	0.19	0.19(3)	0.27	−1.21

Mass OLS, standard regression on log(mass); Teeth LARS(3), Least Angle Regression on dental traits (three automatically selected traits) (Table 2); Teeth LARS, best-performing LARS (number in brackets indicates how many dental traits are selected); Species OLS, standard regression model on species count; All OLS, standard regression on mass and all of the dental traits. Best performances are highlighted in bold for the variables.