Canadian Forest Service Publications
Predictive Relationships between Acoustic Velocity and Wood Quality Attributes for Red Pine Logs.2017. Newton, P.F. Forest Science 63(5):504-517.
Issued by: Great Lakes Forestry Centre
Catalog ID: 39050
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Plain Language Summary
The objective of this study was to quantify the relationship between acoustic velocity and the dynamic modulus of elasticity (MOE; denoted me), wood density (wd), microfibril angle, tracheid wall thickness (wt) and radial and tangential diameters, fiber coarseness (co), and specific surface area (sa) for red pine (Pinus resinosa Ait.) logs. Subsequent to the selection, felling and sectioning of 53 sample trees located within two 80-year-old plantations within central Canada, 216 cross-sectional disks, and associated acoustic velocity measurements were obtained from 163 sample logs. Silviscan-based attribute values were determined on each disk from which log-specific mean values were calculated. The resultant 163 attribute–acoustic velocity observational pairs were stratified into calibration and validation data subsets: the calibration subset was used for parameterizing mixed-effects linear regression models whereas the validation subset was used for evaluating the models on the basis of goodness-of-fit, lack-of-fit, and predictive ability. Viable linear relationships were established for me, wd, wt, co, and sa in terms of compliance with the underlying statistical assumptions, explanatory power (67– 87% of variability explained), and precision of predictions. The extension of the acoustic approach to include other commercially relevant attributes provides the foundation for a more encompassing end-product-based segregation strategy than one solely based on log stiffness.