Bu çalışmanın amacı, Burdur-Ağlasun yöresinde doğal, aynı yaşlı, saf ve müdahale görmemiş kızılçam meşcerelerinde ağaç sayının çap basamaklarına dağılımının değişik yaş ve bonitet sınıflarında değişimini ortaya koyabilmek için yedi ağaç örnek nokta yöntemini incelemektir. Bunun için yörede nokta örneklemesine dayalı 25 örnek nokta alınmıştır. Örnek noktalardan elde edilen verilere Beta, Gamma, Weibull, Normal ve Log-normal istatistik dağılımını esas alan regresyon modelleri uygulanmıştır. Her istatistik dağılım modeli için doğrusal bir model kurulmuş ve modelin katsayıları çoğul regresyon analizi ile hesaplanmıştır. Regresyon modelinin uygunluğunun tespiti için hesaplanan F test değeri, Log-normal dağılım modeli için en yüksek bulunmuştur (F=8.535; p

The aim of this study were to investigate, change of distribution to diameter classes of the number of stand trees in terms of different stand age and site quality classes by using seven trees sample point method in natural, even-aged, pure and undisturbed Calabrian pine (Pinus brutia Ten.) stands of Burdur- Ağlasun forest district. For this, 25 sample points were selected in forest district based on point sampling. The data obtained from this study, were applied regression models including Beta, Gamma, Weibull, Normal and Log-normal statistical distributions. A linear model was set for each statistical distribution model and, then coefficient of regression model was calculated by multiple regression analysis. F-test value calculated for determination of appropriateness of regression model was found the highest in Log-normal distribution model. For this reason, it was reached to the result that the most suitable model was Log-normal distribution model. In addition, the values obtained from actual measurement and regression model were put forward by graphs. Model represents the distribution into diameter classes of trees in stand in the rate of about 39 percent (R2=0.389) depending on stand age and site index. Keywords: Diameter distribution, statistical distribution, 7-tree sample point method.