Unexplained site variance in machine strength grading of Norway spruce structural timber

2017 ◽  
Vol 76 (3) ◽  
pp. 899-909
Author(s):  
Carolin Fischer ◽  
Geir I. Vestøl ◽  
Audun Øvrum ◽  
Olav A. Høibø
2014 ◽  
Vol 44 (2) ◽  
pp. 128-135 ◽  
Author(s):  
Olav Høibø ◽  
Geir I. Vestøl ◽  
Carolin Fischer ◽  
Ludvig Fjeld ◽  
Audun Øvrum

Current strength grading of Norway spruce (Picea abies (L.) Karst.) structural timber is only able to describe parts of the great variability in density and bending properties. This study assesses whether information about the origin of the timber can be used to predict its strength and stiffness, alone or in combination with machine strength grading. Three hundred and seventy-three boards from 45 trees sampled from three stands in eastern Norway were studied. Substantial parts of the variability of density, modulus of elasticity (MOE), and bending strength or modulus of rupture (MOR) of the boards studied were explained by origin (differences between sites, relative tree size (diameter at breast height), and longitudinal position in stem). Origin also gave a reduction in residual variance in addition to what was obtained by machine grading based on resonance frequencies. For MOR, the improvement was larger than what was obtained by adding density, whereas for MOE, the density was more important than information about origin.


2016 ◽  
Vol 46 (7) ◽  
pp. 978-985 ◽  
Author(s):  
Carolin Fischer ◽  
Geir I. Vestøl ◽  
Olav Høibø

Density, modulus of elasticity (MOE), and bending strength (MOR) are important properties of structural timber, and knowledge about the variability of these properties is important to make efficient use of the timber. To utilize such information in the production of structural timber, the information must be available before sawing. This study presents models describing the variability of density and bending properties of Norway spruce (Picea abies L. Karst) boards within individual trees, as well as among trees and stands, based on geographical data and forest inventory data including external tree measurements. The models were based on 1551 boards from 17 sites in Southern Norway, Eastern Norway, and Trøndelag. Important variables describing variation in density, MOE, and MOR between sites were site index and elevation. For density, latitude gave additional information. Age, diameter at breast height, and longitudinal position within the tree were the most important variables at the tree level. The models explained major parts of the site variance of all properties, and for MOR, they explained a substantial part of the variance due to trees. In addition to being used for predicting the properties of structural timber from current forest resources, the models also provide information that can be used to predict the effects of silviculture on timber properties in future forest stands.


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