Kastamonu Yöresi Sarıçam Meşcereleri İçin Çap Dağılımlarının Modellenmesi ve Çeşitli Meşcere Özellikleri ile İlişkilerinin Belirlenmesi

Oytun Emre Sakıcı, Esra Dal
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引用次数: 1

Abstract

In this study, it was aimed to model the diameter distribution of Scots pine (Pinus sylvestris L.) stands in Kastamonu region. The effects of various stand characteristics (number of trees, mean diameter, stand density, site class, crown closure, developing stage and stand type) on the determination of the most appropriate distribution function were also investigated. 890 sample plot data obtained from the General Directorate of Forestry archive were utilized as study material, and Beta, Gamma (with 2 and 3 parameters), Johnson SB, Log-normal (with 2 and 3 parameters), Normal and Weibull (with 2 and 3 parameters) probability density functions were used to model the diameter distributions. Kolmogorov-Smirnov (KS), Anderson-Darling (AD), Chi-square (X2) and Error Index (e) criteria were used to determine the success of probability density functions and to decide the most appropriate ones. The effects of stand characteristics on the decision of the most suitable function were also determined by Kruskal-Wallis and Chi-square tests. As a result of comparisons, Johnson SB was determined as the most successful probability density function. While the success of the probability density functions was affected by the number of trees, mean diameter, crown closure, developing stage and stand type, it was not affected by stand density and site class.
Castamon圆图森林印刷区划模型的定义及其与各种树木特性的关系
本研究旨在模拟卡斯塔莫努地区樟子松(Pinus sylvestris L.)林分的直径分布。还研究了不同林分特征(树木数量、平均直径、林分密度、场地类别、树冠闭合、发育阶段和林分类型)对确定最合适分布函数的影响。从林业总局档案馆获得的890个样地数据被用作研究材料,Beta、Gamma(具有2个和3个参数)、Johnson SB、Log normal(具有两个和3个子参数)、normal和Weibull(具有二个和三个参数)概率密度函数被用于对直径分布建模。Kolmogorov-Smirnov(KS)、Anderson-DDarling(AD)、卡方(X2)和误差指数(e)标准用于确定概率密度函数的成功率并确定最合适的概率密度函数。通过Kruskal-Wallis和卡方检验也确定了林分特征对最适合功能的决定的影响。通过比较,Johnson SB被确定为最成功的概率密度函数。概率密度函数的成功率受树木数量、平均直径、树冠闭合度、发育阶段和林分类型的影响,而不受林分密度和林分类别的影响。
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