Özet:

Taurus cedar (Cedrus libani A. Rich.) forests are economically and ecologically one of the most important forests in Turkey. In this context, knowing the state and limitations of growth and yield of Cedar forests is necessary and important for improving future management and planning strategies. Diameter distribution models are provide information for data about horizontal stand structure and each diameter class: number of trees, basal area, and volume per unit area. These predictions is used to predict volume yield and to forecast the range of products. In this study, diameter distribution models were developed for natural cedar stands in Antalya Region. Many different probability density functions such as log-normal, exponential, gamma, beta, Weibull, and Johnson’s SB have been used to describe diameter distributions. Johnson’s SB function are among the most commonly used in forest research because of their flexibility in mimicking the emprical distributions. In this study, Johnson’s SB distribution was used for modeling diameter disrtributions of natural cedar stands. For this aim, 109 sample plots measured from natural distribution areas of natural cedar stands. The obtained results from observed and predicted diameter distributions of sample plots were compared using Error index and Kolmogorov-Smirnov Test. The results show good performance of three-parameter recovery method. The major advantage of 3-parameter recovery method relies on the reduced level of input information required.

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