Appendix S1 ;Table S1;Table S2;Table S3;Table S4 from Landscape-scale forest cover drives the predictability of forest regeneration across the Neotropics

Precipitation information ;Metadata of the 22 databases analyzed in our study. Stem inclusion criterion refers to the diameter at breast height (dbh), except for data from Vieira et al., who used height values. The data used in the analysis from Chazdon and Griffith et al. are for repeated measures over three years, given the small number of plots (n = 6). For these databases, the age range in the chronosequences corresponds to the variation in the last year sampled. S. G. Letcher database include some plots studied by R. L. Chazdon. ;Effect of precipitation on the predictability of successional trajectories. Predictability was measured as the goodness-of-fit (R²adj) of the relationship between each vegetation attribute and forest stand age. ;Effect of precipitation, minimum stem diameter, and plot size on the recovery rate of species richness, density of individuals and basal area along secondary succession. We estimated recovery rate through the equation: [(15 years predicted value – 20 years predicted value)/5], where 5 corresponds to the age interval in years. The predicted values for the fixed age of 15 and 20 years were obtained from the relationship between each vegetation attribute and forest stand age, using generalized additive models.;Effect of landscape forest cover on the predictability of successional trajectories considering differently sized concentric landscapes (i.e. buffers of 1 to 10-km radius, at 1 km intervals). Predictability was measured as the goodness-of-fit (R²adj) of the relationship between each vegetation attribute and forest stand age using generalized additive models. Because the deviance explained by the models was highest when considering landscapes of 4-km radius for all vegetation attributes (in bold), this landscape radius was selected as the scale of forest cover effect (Jackson & Fahrig 2015).