Table 2

Results of a linear regression applied to real trait data (leaf tissue density and stem density for 200 rainforest plant species), with (PL) or without (LR) an extra parameter λto quantify the strength of phylogenetic signal in the Y-axis trait
LR model PL model
Parameter GLS Bayesian (AT) GLS Bayesian (AT)
β0 -1.07 (0.47) -0.70 (0.31) -0.75 (0.14) -0.50 (0.11)
β1 0.31 (0.13) 0.62 (0.10) 0.55 (0.11) 0.58 (0.11)
λ 0.24 (-0.12, 0.63) 0.82 (0.13)
σ 1.18 0.70 (0.074) 0.33 0.77 (0.095)
ppp-value 0.545 0.9974

Values are: mean (standard deviation), except for λ, which is mean (95% Confidence limits). The value σfor the gls() function is the residual standard error.

Villemereuil et al.

Villemereuil et al. BMC Evolutionary Biology 2012 12:102   doi:10.1186/1471-2148-12-102

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