Table 2.

The linear mixed-effect models, with mass-based (a) and area-based (b) leaf photosynthetic capacity (V_cmax and J_max) as the response variables, each showing fixed and random effects.

	V cmax					J max
	Fixed effect			Random variance (%)		Fixed effect			Random variance (%)
	Best model	r2	P	Species	Residual	Best model	r2	P	Species	Residual
(a) Mass-based model
All	Pm + Nm*SLA	0.47	<0.01	0.19	99.81	Pm + Nm * SLA	0.48	<0.01	0.00	100.00
Pioneer	SLA	0.39	<0.01	0.00	100.00	Nm * SLA	0.32	<0.01	0.00	100.00
Generalist	Nm * SLA	0.41	<0.01	0.00	100.00	Nm * SLA	0.50	<0.01	0.00	100.00
Climax	Pm + Nm*SLA	0.53	<0.01	0.00	100.00	Nm * SLA	0.49	<0.01	0.00	100.00
(b) Area-based model
All	Na + Pa * LMA	0.23	<0.01	0.47	99.53	Na + Na * Pa	0.36	<0.01	0.20	99.80
Pioneer	LMA	0.19	<0.05	0.00	100.00	LMA	0.27	<0.05	0.00	100.00
Generalist	Pa * LMA	0.13	<0.05	0.00	100.00	LMA + Na * LMA	0.31	<0.01	0.00	100.00
Climax	Na + Na * LMA	0.16	<0.01	2.56	97.44	Na	0.17	<0.01	0.00	100.00

For the best models, explanatory variables are: leaf nitrogen (N) and phosphorus (P) concentrations; leaf area per mass (SLA) and leaf mass per area (LMA). Species was used as a random component of the model. The best model for V_cmax and J_max for all species (All), and for the pioneer species (Pioneer), the generalist species (Generalist) and the climax species (Climax) are shown. The coefficient of variation (r²) and significance (P) for the linear regression of the modelled vs measured data are also shown and the contribution of random effect to the variance with the dataset.