Accurate estimation of recoverable energy wood potential from small sized trees during first thinning is very important for forest managers and renewable energy sectors for feasibility. Reliable and accurate biomass equations for individual tree and tree components like that fuel wood are still lacking for small diameter trees from Brutian pine (Pinus brutia Ten.) stands. The aim of the study was to provide biomass models allowing estimating tree level fuel wood biomass. It was harvested 108 individuals selected randomly from brutian pine stands at sapling stage (average dbh < 8 cm) across different site conditions in Mediterranean Region of Turkey covering different sizes (1.5 to 11 cm diameter at breast height (dbh)), ages (10 to 20 years) and stand densities (1600 to 3100 trees ha(-1)). Using linear and nonlinear regression models were exposed for estimation of fuel wood biomass, and total tree biomass based on dbh or diameter at stump height (dsh), or with tree height (h) as predictors. Results showed that dsh had high effects on model performance, depending on highly correlation between fuel wood biomass and dsh (R:0.837; p<0.001). In the models developed for fuel wood, the coefficient of determination (R-2) of the dsh allometric equations ranged from 0.658 to 0.828. Statistical result revealed that these models with single or two variable can be used for small diameter brutian pine trees in similar sites.