ALGORITHM FOR THE PROJECTION OF FOREST GROWTH AND PRODUCTION

The modeling of forest growth and production is an essential tool for forestry management because it allows us to perform simulations project biometric variables in the future, thus assisting stock planning economic analyses. In this work, a model by diameter distribution was proposed with application Weibull function based on recovery parameters through simplified functions between attributes function. algorithm developed Excel’s VBA language. Validation performed data from Continuous Forest Inventory (CFI) stand Khaya grandifoliola rows Eucalyptus spp. ILPF system, which were ordinarily organized into seven date combinations, most distant closest projection date. results evaluated percentage standard error (SE%) applied projected observed volumes Kolmogorov‒Smirnov test distributions verify adherence. It possible identify exact relationship parameter c as percentiles b, improving method. Another methodological improvement use maximum height age adjust hypsometric presented total volume errors up 20% 85% tests.