<abstract xmlns="http://www.w3.org/1999/xhtml">In the system of logging machines, a factor such as the density of wood affects all components of the system. However this dependence can be more noticeable in the performance of wood felling, where logging machines have approximately the same saw body, such as a chain saw. In this regard, the problem of determining the dependence of the chainsaw on the density of wood, substantiation of effective options for the number of chainsaws in the assortment and whiplash method of logging is quite relevant. In the Far East of Russia, in particular, in the Amur region, the forest growth conditions are different from the western ones and therefore the properties of the woof differ from the generally accepted ones. The article describes forest growth conditions that influence the properties of the wood in areas of the Amur region. Using the method of density determination, the density of larch, pine and birch were studied first time in the areas of the region. The dependence of the density on humidity, age, species, season of the year and the area of growth was found out. The research results showed that in the Amur region at a humidity of 70% the density of larch varies from 745 to 1 089 kg m−3, pine from 435 to 1 081 kg m−3, birch from 403 to 878 kg m−3.</abstract>

In the system of logging machines, a factor such as the density of wood affects all components of the system. However this dependence can be more noticeable in the performance of wood felling, where logging machines have approximately the same saw body, such as a chain saw. In this regard, the problem of determining the dependence of the chainsaw on the density of wood, substantiation of effective options for the number of chainsaws in the assortment and whiplash method of logging is quite relevant. In the Far East of Russia, in particular, in the Amur region, the forest growth conditions are different from the western ones and therefore the properties of the woof differ from the generally accepted ones. The article describes forest growth conditions that influence the properties of the wood in areas of the Amur region. Using the method of density determination, the density of larch, pine and birch were studied first time in the areas of the region. The dependence of the density on humidity, age, species, season of the year and the area of growth was found out. The research results showed that in the Amur region at a humidity of 70% the density of larch varies from 745 to 1 089 kg m−3, pine from 435 to 1 081 kg m−3, birch from 403 to 878 kg m−3.

Influence of forest growth conditions on the density of wood in the Amur region

Department of Forestry and Forest Exploitation

Sino-Russian Forestry Research Center for Plant Cultivation

Central European Forestry Journal

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

{"article-title":"Influence of forest growth conditions on the density of wood in the Amur region"}

In the system of logging machines, a factor such as the density of wood affects all components of the system. However this dependence can be more noticeable in...

Influence of forest growth conditions on the density of wood in the Amur region

Online veröffentlicht: 04. März 2019

Seitenbereich: 41 - 50

DOI: https://doi.org/10.2478/forj-2019-0005

Schlüsselwörter
Russian Far East, larch, pine, birch, wood density, wood moisture content

© 2019 Natalia A. Romanova et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Influence of forest growth conditions on the density of wood in the Amur region

Online veröffentlicht: 04. März 2019

Seitenbereich: 41 - 50

DOI: https://doi.org/10.2478/forj-2019-0005

SchlüsselwörterRussian Far East, larch, pine, birch, wood density, wood moisture content

© 2019 Natalia A. Romanova et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Schlüsselwörter
Russian Far East, larch, pine, birch, wood density, wood moisture content