Table 1.

(S)MATR reduced major axis regression slopes and y-intercepts (α_RMA and log β _RMA, respectively) for log₁₀-tranformed data of forest-level above- and below-ground biomass (M_A and M_R, respectively) and stem and root biomass (M_S and M_R, respectively) (original units: tonnes dry mass per hectare). Data taken from Luo (1996) and Feng et al. (1999)

	αRMA (95% CI)	Log βRMA (95% CI)	r2
Feng et al. data (n=269)
Log MA vs. log MR	1·08 (1·05, 1·11)	0·529 (0·495, 0·564)	0·957
Log MS vs. log MR	1·09 (1·06, 1·11)	0·479 (0·443, 0·515)	0·955
Luo data (n=1266)
Log MA vs. log MR	0·977 (0·961, 0·994)	0·572 (0·527, 0·617)	0·651
Log MS vs. log MR	1·02 (1·01, 1·04)	0·467 (0·421, 0·514)	0·653
Luo and Feng et al. data (n=1534)
Log MA vs. log MR	1·03 (1·02, 1·04)	0·519 (0·487, 0·537)	0·883
Log MS vs. log MR	1·05 (1·03, 1·07)	0·450 (0·425, 0·475)	0.881

M_A vs. M_R or M_S vs. M_R scaling exponents in bold type have 95% CIs that numerically include those reported at the level of individual plants (α_RMA=1·06 and 1·08, respectively; see Niklas, 2005).