首页|Modeling frequency distributions of tree height, diameter and crown area by six probability functions for open forests of Quercus persica in Iran
Modeling frequency distributions of tree height, diameter and crown area by six probability functions for open forests of Quercus persica in Iran
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The prediction of the distribution of quantitative variables in a forest stand is of great interest to forest managers,for the evaluation of forest resources and scheduling of future silvicultural treatments.The aim of this research was to model the distribution of quantitative variables for Quercus persica in open forests in Iran.To investigate the probability distribution of trees in natural stands,642 trees were selected for measurement using a systematic random sampling method.Selected trees were measured and data were analyzed.Gamma,beta,normal,lognormal,exponential and Weibull probability distributions were fitted to the height distribution of trees.Variables of distribution functions were estimated using the maximum likelihood estimation method.Actual probability and probability which derived from functions was compared using Kolmogorov-Smirnov and Anderson-Darling tests.Beta,Weibull and Weibull probability distributions explained the distributions of tree height,DBH and crown area.
Open forestsProbability distributionQuercus persicaIran
Mehrdad Mirzaei、Jalal Aziz、Ali Mahdavi、Asma Mohammad Rad
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University of Guilan Sowmeh Sara City, Guilan,Islamic Republic of Iran
Faculty of Natural Resources,University of Guilan,Sowmeh Sara, Islamic Republic of Iran
Faculty of Agriculture, University of Ilam, Ilam,Islamic Republic of Iran
Faculty of Natural Resources, University of Tehran, Karaj,Islamic Republic of Iran
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