Secondary forests are portions of forest areas that were previously deforested. In general, secondary forests are characterized by fast-growing species, an alternative for reducing net carbon emissions and mitigating climate change; However, these forest environments are still poorly studied. In this context, this work aimed to adjust predictive models of biomass concerning the height and diameter of trees, analyzing temporally and quantitatively the biomass stocks in areas of secondary vegetation located in Rondônia, Western Amazon, aiming at quantification of aerial biomass in these ecosystems and discuss the implication of abundance of individuals in the estimates. To adjust the allometric equations it was necessary to measure all trees with a circumference at breast height above 15 cm in plots with 200m². After the measurements, a plot tree representing the average diametric variable was selected and slaughtered to calculate its biomass. The adjusted equations presented adjusted r² ranging from 0.49 to 0.57, root means square error (RMSE) from 247 to 296 kg, and residual standard error (Syx) from 49 to 53 kg. In 2016, the plots had an average of 41.47 t.ha -1 of biomass, and 2020 recorded 81.66 t.ha -1 . In this sense, we observed a total increase of 96.92% between 2016 and 2020. Through biomass estimates it was possible to observe that secondary forests are a potentially significant biomass sink due to the rapid accumulation rates of this component. Therefore, biomass stocks were increased over the years of this study, demonstrating the capacity for biomass growth in forests undergoing restoration.