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 forQuercus persicain 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.
کلید واژگان :
Open forests Probability distribution Quercus persica Iran
