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This study was carried out in Pedro N. Pizzatto Industry farm land , located in General Carneiro, Paraná State, aiming at establishing a planning model for maximizing forest revenue, taking into account the carbon stocked in the forests under different management regimes. The data came from 11 stands and the SISPINUS growth and yield simulator was used to predict volume, mean tree height and dbh of these stands managed under five different options for a planning horizon of 21 years and the removed and remaining carbon stocks of each stand were estimated. Linear programming techniques were applied to 24 scenarios defined in function of log demand, the annual interest rate, as well as the commercial strategy. The best scenario indicated by the linear programming model was the option which takes into consideration an 8% interest rate, purchase and sale of logs in the market and a demand of 30% of the woody raw material consumed by the factor, showing that a lower interest rate increases the economic return. The carbon equilibrium constraints avoided excessive oscillations in this parameter. The stands originated after the application of the model showed irregular areas, some very small, probably caused by the great number of restrictions imposed by the model and the conversion of large stands into small ones might be suggesting the necessity of creating new management units.