October 2024
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The maximum crown area is an important variable in the estimation of the level of competition that affects the growth potential and productivity of species. Therefore, the objective of the present study was to adjust regression models to predict the maximum crown diameter for Pinus cooperi Blanco in the forest region of El Salto, in the state of Durango. In particular, 95 trees of different diameter categories and growing free of competition were used. Independently, three regression models were analyzed, simple linear, second-degree polynomial and potential, to predict the maximum canopy diameter as a function of normal diameter, total height, height at the base of the crown, age and total length of the crown. The results showed that the second-degree polynomial model with the inclusion of normal diameter as an independent variable presented the best fit in the prediction of the maximum crown diameter. In general, normal diameter was the most significant variable for the prediction of maximum crown diameter in Pinus cooperi. Based on the results, two forest productivity scenarios related to crown competition factor (CCF) can be identified; when the CCF is 100 % or higher, timber productivity is optimal and when it is less than 100 %, productivity is not optimal, which can be attributed to little or no competition and deficiency in land use.