Relationships between acoustic variables and different measures of stiffness in standing Pinus taeda trees

CR Mora, LR Schimleck, F Isik… - Canadian Journal of …, 2009 - cdnsciencepub.com
CR Mora, LR Schimleck, F Isik, JM Mahon, A Clark, RF Daniels
Canadian Journal of Forest Research, 2009cdnsciencepub.com
Acoustic tools are increasingly used to estimate standing-tree (dynamic) stiffness; however,
such techniques overestimate static stiffness, the standard measurement for determining
modulus of elasticity (MOE) of wood. This study aimed to identify correction methods for
standing-tree estimates making dynamic and static stiffness comparable. Sixty Pinus taeda
L. trees, ranging from 14 to 19 years old, obtained from genetic tests established in the
southeastern United States, were analyzed. Standing-tree acoustic velocities were …
Acoustic tools are increasingly used to estimate standing-tree (dynamic) stiffness; however, such techniques overestimate static stiffness, the standard measurement for determining modulus of elasticity (MOE) of wood. This study aimed to identify correction methods for standing-tree estimates making dynamic and static stiffness comparable. Sixty Pinus taeda L. trees, ranging from 14 to 19 years old, obtained from genetic tests established in the southeastern United States, were analyzed. Standing-tree acoustic velocities were measured using the TreeSonic tool. Acoustic velocities were also recorded in butt logs cut from the same trees using the Director HM200. A strong but biased relationship between tree and log velocities was observed, with tree velocities 32% higher (on average) than the corresponding log velocities. Two correction methods, one for calibrating tree velocities and one for accounting for differences in wood moisture content, were used to determine an adjusted MOE. After correction, adjusted MOE estimates were in good agreement with static longitudinal MOE values measured on clearwood specimens obtained from the trees, and no systematic bias was observed. The results of this study show that acoustic estimates of MOE on standing trees largely depend on how the data are processed and the reference method used.
Canadian Science Publishing
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