Table 3

Phylogenetically-controlled regression analyses between t_m and other variables

Long lived species^a

Herbaceous^b

Woody^c

Variable

R ^‡

ΔR^{2 †}

R

ΔR^{2 †}

R

ΔR^{2 †}

Stature

0.162*

--

0.152^NS

0.029^NS

Growth form ^d

0.239***

0.057

NC

NC

Perenniality ^e

NC

0.423***

NC

Pollination mode ^f

0.082^NS

0.027^NS

0.020^NS

^a N = 230 ^b N = 76 ^c N = 185

0.01<P < 0.05 and ^NS for P > 0.05.

^d Herbaceous species were coded 0 and woody species 1; ^e Short-lived species (annuals and biannuals) were coded 0, and long-lived species (perennials species) were coded 1; ^f The mode of pollination was coded 0 for abiotic (wind- or water-dispersed) and 1 for biotic (animal-dispersed)

^‡ correlation coefficient of simple regression analyses

^† multiple regression analyses (stepwise option using all significant variables from the simple regression analyses): ΔR² represents the gain of R² (proportion of variation explained by the variables) when the variable is incorporated into the model, "--" indicates that the variable does not enter in the model, after the integration of the most explicative variables.

Duminil et al. BMC Evolutionary Biology 2009 9:177   doi:10.1186/1471-2148-9-177