Modeling the Distribution of the Height of Chestnut Trees in the Forests of Gilan

Variables of total height can be considered the main variables morphometric of forest trees. The purpose of this study was to investigate the probability distribution of the height of chestnut trees in the forests of Gilan province. In this study, 30 samples of dimensions 50 50 m as selectively were sampled and heights of 213 trees of chestnut trees were measured. Probability distribution function that investigated was beta, gamma, normal, lognormal and Weibull. Characteristics of each of the functions were estimated using the maximum likelihood method. In order to fit probability distribution functions that were studied, fitting chi-square and Kolmogorov-Smirnov was used. Kolmogorov-Smirnov test results showed that the beta distribution in compare to the other distribution of power is more explanation. So, is a suitable model for chestnut trees in the forests of Guilan.