Table 1.

Akaike's information criterion (AIC) values and Akaike weights (w_i) for the 12 simple statistical and evolutionary models. (NPP, net primary productivity; T_a, ambient temperature; T_r, temperature range; P, log precipitation; P_CV, coefficient of variation of precipitation; non-phylogenetic, conventional across species analysis; phylogenetic, GLS model incorporating information on phylogenetic relatedness, with equal branch lengths (see §2).)

statistical model	evolutionary model	AIC	wi
log mass	non-phylogenetic	−120.7	<0.001
	phylogenetic	−150.42	<0.001
log mass+NPP	non-phylogenetic	−125.12	<0.001
	phylogenetic	−149.68	<0.001
log mass+Ta	non-phylogenetic	−137.32	<0.001
	phylogenetic	−169.52	0.999
log mass+Tr	non-phylogenetic	−120.69	<0.001
	phylogenetic	−150.2	<0.001
log mass+P	non-phylogenetic	−121.67	<0.001
	phylogenetic	−148.89	<0.001
log mass+PCV	non-phylogenetic	−120.79	<0.001
	phylogenetic	−148.53	<0.001