Modeling the diameter distribution of a fragment of Mixed Ombrophyllous Forest, in Lebon Régis, SC.
DOI:
https://doi.org/10.5380/rf.v45i2.34733Keywords:
Araucaria Forest, horizontal structure, probability density function.Abstract
The objective of this work was to fit and to select different probability density functions (pdf’s), such as, Normal, Gamma (Adapted), Beta (Adapted), Exponential, Weibull 3P, Johnson Sb, Weber and Péllico Netto, to describe the diameter distribution of all species and the seven species with the highest importance value of a fragment of Mixed Ombrophyllous Forest, in Lebon Régis, SC, Brazil. The data processing was performed using the Solver tool on MS Excel 2007, using the linear algorithm of generalized reduced gradient (GRG) for interaction of parameters. The selection criteria used were the Kolmogorov-Smirnov and statistics of fit and accuracy. According to the results, the function that best represented the diameter distribution considering all species of forest fragment was Johnson Sb. When considered the species individually, the Ln-normal function best described the diameter distribution of Myrcia sp., and Myrsine gardneriana (Aubl.) DC. For Ocotea porosa (Nees & C. Mart.) Barroso., and Araucaria angustifolia (Bertol.) Kuntze., the function with the best adherence was Gamma (Adapted) and Ocotea elegans Mez., Mimosa scabrella Benth., and Styrax Leprosus Hook. & Arn., functions with the best performance were, 3P Weibull, Péllico Netto and Normal, respectively.
Keywords: Araucaria Forest; horizontal structure; probability density function.
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