Estimación de volúmenes de madera en pie de la especie "Pinus Patula" mediante polinomio único de ahusamiento. Caso de estudio: Finca el Guásimo
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Pinus patula is a tree species widely used in our country, but the models that are currently used to estimate its usable volume are costly and segmented and have acceptable accuracy. Therefore, this research proposal focuses on proposing a polynomial taper function of the trunk for this species, so that reliable estimates of commercial or total volume can be made. In order to propose the unique polynomial function, measurements of total height and trunk diameters were made at different heights for trees of different ages in El Guásimo plantation. The sampling was performed in circular plots of 500 m2 each, located randomly in different sites of the plantation. After obtaining satisfactory preliminary results of the volume estimation, the model was compared with felled, chopped and cubed individuals by the Smalian method (1806). The goodness-of-fit test of the polynomial model proposed was performed on statistics such as correlation and Lin's concordance coefficients. Then, the height curve was modeled and the expressions obtained were extended to all sample trees in order to estimate the volume of standing timber from the plantation. The model generated had solid statistical and mathematical support in the selection of plots and individuals, as well as in the total description of the trunk profile through a unique polynomial function and the calculation of the value of the concordance between the pair of methods which estimated the volume of the same sample. The results obtained for the taper profile, the interchangeability of the methods for the estimation of the volume, the height curves and the calculation of the wood stock of the plantation were very favorable in comparison with those reported in the literature. It is expected that the models generated in this study will be the basis for a method that improves the accuracy in volume estimation in forest inventories and that can be used in other regions and not only in the study site, making the corresponding adjustments.
