Application of some parametric and non-parametric criteria for grouping forests biometric data

Authors

DOI:

https://doi.org/10.31548/forest2019.03.004

Abstract

Assessment of forests’ growth and productivity requires reference materials for the description of dynamics of biometric indices to be developed for modal stands of the main forest-forming tree species. Yield tables are usually developed on forest typology, site index, and combined basis. Within the frame of this process, it is necessary to take into account natural pathways of development of forest stands since they directly affect the dynamics of biometric indices. Also, there is an inevitable stage of statistical justification of similarities or dissimilarities of certain groups of forest stands. Using a stand-level database of IA “Ukrderzhlisproekt”, we have carried out statistical analysis of the allocation of stand groups that are uniform by their composition and origin. By means of variance analysis methods applied to indices of mean height, mean diameter and growing stock per 1 ha, we have allocated uniform groups of stands for the prevailing coniferous and hardwood broadleaved tree species. To do this, we have employed several parametric and non-parametric criteria: the Kruskal-Wallis H test by ranks, the median criterion, and the Jonckheere-Terpstra test for an ordered alternative hypothesis within an independent samples (between-participants) design – for research of coniferous stands; the Student’s t-test and the Levene’s test – for research of softwood broadleaved stands. As a result, after analyzing the calculated indices as well as origin and tree species composition structure of the stands in question, we have allocated four groups of stands for pine and spruce, 2 – for birch and 2 – for black alder. Further research of growth and productivity of these stands linked with the development of yield tables for modal stands should be based on the allocated groups and dynamic site index scales.

Keywords: species composition of a stand, origin of a stand, analysis of variance, biometric indices, Student’s t-test, Kruskal-Wallis test, Jonckheere-Terpstra test, Levene’s test.

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Published

2019-10-04

Issue

Vol. 10 No. 3 (2019)

Section

FORESTRY

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