Colloquium Biometricum

Vol: 39 Page: 157

Authors:

Title:
Statistical characteristics of double bark thickness at breast height based on pine (Pinus sylvestris L.), larch (Larix decidua mill.) and oak (Quercus robur L.)

Language: English

Keywords:

Scots pine

European larch

common oak

bark thickness

correlation coefficient

linear and multiple regression

Summary:
Tree bark may be considered as a natural protective coat. Its thickness depends on the tree species, while in trees of the same species - on age. Bark thickness changes also along the stem. It is a highly variable characteristic. The best known parameter is bark thickness at a height of 1.3 m. The aim of the study was to:
– determine the value and variation of double bark thickness at breast height based on analyzed pines, larches and oaks,
– determine the power of relationships of double bark thickness at breast height with selected biometric characteristics of analyzed trees,
– develop linear regression equations to estimate the value of double bark thickness at breast height depending on age and breast height diameter for analyzed tree species.
Experimental material includes results of measurements for selected biometric traits of mean sample trees of three species, i.e. 40 pines (So), 24 larches (Md) and 33 oaks (Db). Based on the collected material basic statistical characteristics were determined for each species. The goodness of fit of double bark thickness with normal distribution was verified in the analyzed tree species. The power of the relationship of double bark thickness at breast height with selected mensuration traits was determined in this study.