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Distribution of the cup diameter and the quadratic diameter of Araucaria angustifolia and Pinus taeda

Abstract

The probability density functions have several forest applications, among which biometric data processing and modeling use. The objective of this study was to verify which probability density function best fits the cup diameter (dcopa) and the quadratic diameter (dq), and also to analyze the effect of these variables on the forest structure. The study was carried out with a database of Araucaria angustifolia from a forest fragment, and also with Pinus taeda data from a forest plantation, both from the state of Paraná. For the respective study areas, the crowns of the trees with digital orthophoto support were delimited. The evaluated functions were: Normal, Log-normal 2P, Beta, Gama, Weibull 3P and Weber. The function that best fit the variable dq for both species was Normal. For the variable dcopa, the function of Weibull 3P was the one that presented better adhesion to the Araucaria fragment and the Weber function for the Pinus forest plantation.

Keywords:
Orthophotos; Forest measurement; Pinus; Forest structure

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