The objective of this study was to develop and to fit allometric models to estimate dry biomass and total carbon in trees planted in forest restoration areas. Fit data are from 107 trees of 44 species planted in Médio Paranapanema Vale, SP, Brazil, located in the Atlantic Forest and Cerrado Biomes. Dry biomass and carbon mass were obtained by destructive sampling taken from aerial and underground sections of the trees. For model test and fitting, stratification of the initial data set was made in growth rhythms of the sampled species. Adjust was done by using eight linear models of each dependent variable and two were obtained from Stepwise-Forward method. The best models to estimate dry biomass and carbon stock presented adjusted determination coefficient above 0.95 and standard error below 32%. Models based on growth rate of the species presented the best statistical results, reaching R²= 0.985 and Syx%=16.15 for dry biomass of low growth species. Models created by Stepwise procedure produced the best equations for estimates of dry biomass and total carbon, and data stratification of different growth rates of the sampled species was suitable for improving performance of the models.
Savana; Atlantic Rain Forest; Carbon sequestration
