Regional features of hardwoods trunk timber stock basic density in bark within Eurasia

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Abstract

This study analyzes the regional characteristics of the trunk timber stock basic density in the bark of deciduous tree species growing in Eurasia. Being based on the data obtained from 2741 trees from six deciduous tree genera (species) growing in Eurasia, regression models of a mixed type have been developed for the trunk timber stock basic density, specific for clusters representing regions within the genus, species and origin of stands within the region. The structure of a mixed type model makes it possible to rank clusters according to the trunk timber stock basic bark density, provided that they are equal in age of trees (with the exception of the genera Betula and Populus, in which the age of the tree in the models is statistically insignificant). Two rankings were made according to the value of the trunk timber stock basic density in the bark, namely, the ranking of clusters within the genus (for European Beech — within the species) and species — specific ranking, according to which the maximum value is characterized by forest beech and the minimum is Black Poplar. The obtained models and the ranking of species by the value of the trunk timber stock basic density in the bark can be used to calculate the carbon pool in deciduous stands according to the forest inventory data.

About the authors

Vladimir A. Usoltsev

Ural State Forestry Engineering University; Botanical Garden of the Ural Branch of the RAS

Author for correspondence.
Email: Usoltsev50@mail.ru

Dr. Sci. (Agriculture), Professor, Leader Resercher

Russian Federation, 37, Siberian tract, 620100, Yekaterinburg; 202a, 8 Marta st., 620144, Yekaterinburg

Nikolay I. Plyukha

Ural State Forestry Engineering University

Email: nikcskript@mail.ru

pg.

Russian Federation, 37, Siberian tract, 620100, Yekaterinburg;

Ivan S. Tsepordey

Botanical Garden of the Ural Branch of the RAS

Email: ivan.tsepordey@yandex.ru

Cand. Sci. (Agriculture), Senior Resercher

Russian Federation, 202a, 8 Marta st., 620144, Yekaterinburg

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