Abstract
The paper presents an analysis of the influence of geographical origin and Scots pine log type on the mechanical properties of the timber sawn from them. The tested timber was sawn from logs obtained from three different forestry regions in Poland, located in the western part of the country. A batch of 150 timber pieces was obtained from each region. The cross-section had the dimensions of 40 mm × 138 mm. The timber was sawn from logs of three different types: butt, middle and top, from a fresh, mixed forest around 120 years old. The timber was dried in industrial conditions and planed four times. The values determined for the timber under research were the static modulus of elasticity in bending (MOE), and the bending strength (MOR). Moreover, timber density (DEN) was determined with the stereometric method. For all three sites, the highest average values of the tested timber properties were obtained for timber made of butt logs, and the lowest for timber made of top logs. It was concluded that the tested Scots pine properties depended on the type of log, and to limited extent, on its geographic origin. The statistical analysis revealed that the geographic origin of the logs that the tested timber was made of had a statistically significant impact on the variance of all the tested timber properties. The type of log also had a statistically significant influence on the variance of all the tested properties.
Highlights
There has been a growing demand for round logs for industrial applications
The aim of this study was to verify the influence of geographical origin and the type of logs that the timber was obtained from on wood quality expressed by density, modulus of elasticity in bending, and static bending strength
The biggest differences between correlation coefficients were observed for the correlation between MOR/modulus of elasticity in bending (MOE) in Site 1: 0.74 and −0.02
Summary
There has been a growing demand for round logs for industrial applications. In 2018, global sawnwood production totalled 493 million m3 , which was 2.2 percent higher than in 2017 (482 million m3 ) and 13 percent higher than in 2014 (435 million m3 ) [1]. The properties of wood can differ within the same species, depending on genetic factors, habitat conditions, and tree age, as well as the type of log (butt, middle, top) from which timber for a specific application will be sawn [2,3,4,5]. For this reason, it is of utmost practical importance to recognize the usage value of wood from different habitats, because sustainable forest and tree management is an essential factor of an effective economy and can contribute to attenuating climate change [6,7]
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