Functional composition is an important driver of aboveground biomass (AGB) variation in the tropical forest and has been demonstrated through the mass ratio hypotheses (MRH) that explain how dominant species and their functional traits have an important role in the AGB increase. We hypothesized that AGB stock of tree species is promoted by the simultaneous effects of restoration treatments and Technosol quality through functional trait composition. We tested the main effects of taxonomic, stand structural, functional attributes and abiotic factors undergoing different restoration methods (planting of nursery-grown seedlings, seeding, and natural regeneration) and the effect of Technosol fertilization on AGB using different linear models. The functional traits were based on the community-weighted mean of the community of values of functional traits related to MRH. Stems and biomass distribution were categorized into the following functional groups: successional strategy, dispersal syndrome, nitrogen fixation, wood density (WD). As expected, during early restoration stage, the pioneer and anemochoric species were dominants mainly represented by naturally regenerated stems. However, the autochoric dispersal and nitrogen-fixing tree species were biomass dominant groups in active restoration, driven mostly by Senna alata which had high abundance and WD. We found that high WD and active restoration methods determine higher AGB stock on mining tailings where natural regeneration is limited. We conclude that functional composition reverses the effects of species richness and abundance on AGB tenting the MRH. Therefore, the effects of functional composition and restoration methods are key predictors on ecosystem functioning during forest restoration.