Fig. 3: Relative importance of predictors used in the animal and plant kingdom models.

An information theoretic approach was used to identify the most important predictors of animal (A) and plant (B) GDp, respectively. Predictors with relative importance higher than 50% (i.e. the relative cumulative Akaike weight for the set of models with ΔAIC < 4) are considered as significant contributors to GDp. Color code indicates “non-significant” predictors (RI < 50%, white bars), “significant” predictors not depending on phylum or on the relative position of the population (RI > 50%, black bars) and “significant” predictors depending either on phylum or on the relative position of the population (RI > 50%, grey bars). When bars are absent the relative importance of the predictor is 0%. Please see Tables S8 and S9 for all models with ΔAIC < 4. Source data are provided as a Source Data file.