Models for Predicting Clearwood Mechanical Properties of Scots Pine

David Auty, Alexis Achim, Elspeth MacDonald, Andrew D Cameron, Barry A Gardiner

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

Wood mechanical properties, such as modulus of elasticity (MOE) and modulus of rupture (MOR), are important determinants of solid lumber performance and value. These properties vary systematically at different scales owing to multiple, potentially confounding, factors. Therefore, a statistical modeling approach may be an effective way to predict the impact of silvicultural practices on mechanical properties. The aim of this study was to develop models for predicting MOE and MOR in Scots pine (Pinus sylvestris L.), as functions of cambial age, height in the stem, wood density, and microfibril angle (MFA). Thirty-six trees were sampled from four mature Scots pine plantations in Scotland, UK. Longitudinal MOE and MOR were determined in static bending on 513 small (300 20 20 mm) defect-free samples. Nonlinear mixed-effects models based on an exponential function of cambial age were developed to predict the within-stem patterns of variation. The best model for MOR included cambial age, height in the stem, and sample density as explanatory variables, whereas the best MOE model also included a density/MFA term in the predictors. In growth simulations over a range of typical scenarios, the largest effect of silvicultural interventions was on the proportion of juvenile wood in the stem, but these had a negligible impact on mean tree MOE and MOR. The models will be incorporated into a growth, yield, and wood quality simulation system.
Original languageEnglish
Pages (from-to)403-413
Number of pages11
JournalForest Science
Volume62
Issue number4
Early online date19 May 2016
DOIs
Publication statusPublished - 30 Aug 2016

Fingerprint

modulus of rupture
Pinus sylvestris
mechanical properties
modulus of elasticity
stems
wood mechanical properties
juvenile wood
stemwood
wood quality
silvicultural practices
wood density
lumber
Scotland
plantations
sampling

Keywords

  • Pinus sylvestris L.
  • models
  • modulus elasticity
  • modulus of elasticity
  • modulus of rupture
  • nonlinear mixed-effects
  • simulation

Cite this

Models for Predicting Clearwood Mechanical Properties of Scots Pine. / Auty, David; Achim, Alexis; MacDonald, Elspeth; Cameron, Andrew D; Gardiner, Barry A.

In: Forest Science, Vol. 62, No. 4, 30.08.2016, p. 403-413.

Research output: Contribution to journalArticle

Auty, D, Achim, A, MacDonald, E, Cameron, AD & Gardiner, BA 2016, 'Models for Predicting Clearwood Mechanical Properties of Scots Pine', Forest Science, vol. 62, no. 4, pp. 403-413. https://doi.org/10.5849/forsci.15-092
Auty, David ; Achim, Alexis ; MacDonald, Elspeth ; Cameron, Andrew D ; Gardiner, Barry A. / Models for Predicting Clearwood Mechanical Properties of Scots Pine. In: Forest Science. 2016 ; Vol. 62, No. 4. pp. 403-413.
@article{183fbeb4b0a8405e833cf482b85fa411,
title = "Models for Predicting Clearwood Mechanical Properties of Scots Pine",
abstract = "Wood mechanical properties, such as modulus of elasticity (MOE) and modulus of rupture (MOR), are important determinants of solid lumber performance and value. These properties vary systematically at different scales owing to multiple, potentially confounding, factors. Therefore, a statistical modeling approach may be an effective way to predict the impact of silvicultural practices on mechanical properties. The aim of this study was to develop models for predicting MOE and MOR in Scots pine (Pinus sylvestris L.), as functions of cambial age, height in the stem, wood density, and microfibril angle (MFA). Thirty-six trees were sampled from four mature Scots pine plantations in Scotland, UK. Longitudinal MOE and MOR were determined in static bending on 513 small (300 20 20 mm) defect-free samples. Nonlinear mixed-effects models based on an exponential function of cambial age were developed to predict the within-stem patterns of variation. The best model for MOR included cambial age, height in the stem, and sample density as explanatory variables, whereas the best MOE model also included a density/MFA term in the predictors. In growth simulations over a range of typical scenarios, the largest effect of silvicultural interventions was on the proportion of juvenile wood in the stem, but these had a negligible impact on mean tree MOE and MOR. The models will be incorporated into a growth, yield, and wood quality simulation system.",
keywords = "Pinus sylvestris L., models, modulus elasticity, modulus of elasticity, modulus of rupture, nonlinear mixed-effects, simulation",
author = "David Auty and Alexis Achim and Elspeth MacDonald and Cameron, {Andrew D} and Gardiner, {Barry A}",
year = "2016",
month = "8",
day = "30",
doi = "10.5849/forsci.15-092",
language = "English",
volume = "62",
pages = "403--413",
journal = "Forest Science",
number = "4",

}

TY - JOUR

T1 - Models for Predicting Clearwood Mechanical Properties of Scots Pine

AU - Auty, David

AU - Achim, Alexis

AU - MacDonald, Elspeth

AU - Cameron, Andrew D

AU - Gardiner, Barry A

PY - 2016/8/30

Y1 - 2016/8/30

N2 - Wood mechanical properties, such as modulus of elasticity (MOE) and modulus of rupture (MOR), are important determinants of solid lumber performance and value. These properties vary systematically at different scales owing to multiple, potentially confounding, factors. Therefore, a statistical modeling approach may be an effective way to predict the impact of silvicultural practices on mechanical properties. The aim of this study was to develop models for predicting MOE and MOR in Scots pine (Pinus sylvestris L.), as functions of cambial age, height in the stem, wood density, and microfibril angle (MFA). Thirty-six trees were sampled from four mature Scots pine plantations in Scotland, UK. Longitudinal MOE and MOR were determined in static bending on 513 small (300 20 20 mm) defect-free samples. Nonlinear mixed-effects models based on an exponential function of cambial age were developed to predict the within-stem patterns of variation. The best model for MOR included cambial age, height in the stem, and sample density as explanatory variables, whereas the best MOE model also included a density/MFA term in the predictors. In growth simulations over a range of typical scenarios, the largest effect of silvicultural interventions was on the proportion of juvenile wood in the stem, but these had a negligible impact on mean tree MOE and MOR. The models will be incorporated into a growth, yield, and wood quality simulation system.

AB - Wood mechanical properties, such as modulus of elasticity (MOE) and modulus of rupture (MOR), are important determinants of solid lumber performance and value. These properties vary systematically at different scales owing to multiple, potentially confounding, factors. Therefore, a statistical modeling approach may be an effective way to predict the impact of silvicultural practices on mechanical properties. The aim of this study was to develop models for predicting MOE and MOR in Scots pine (Pinus sylvestris L.), as functions of cambial age, height in the stem, wood density, and microfibril angle (MFA). Thirty-six trees were sampled from four mature Scots pine plantations in Scotland, UK. Longitudinal MOE and MOR were determined in static bending on 513 small (300 20 20 mm) defect-free samples. Nonlinear mixed-effects models based on an exponential function of cambial age were developed to predict the within-stem patterns of variation. The best model for MOR included cambial age, height in the stem, and sample density as explanatory variables, whereas the best MOE model also included a density/MFA term in the predictors. In growth simulations over a range of typical scenarios, the largest effect of silvicultural interventions was on the proportion of juvenile wood in the stem, but these had a negligible impact on mean tree MOE and MOR. The models will be incorporated into a growth, yield, and wood quality simulation system.

KW - Pinus sylvestris L.

KW - models

KW - modulus elasticity

KW - modulus of elasticity

KW - modulus of rupture

KW - nonlinear mixed-effects

KW - simulation

UR - http://www.eforester.org/Main/Library/FS_Author_Instructions.aspx

U2 - 10.5849/forsci.15-092

DO - 10.5849/forsci.15-092

M3 - Article

VL - 62

SP - 403

EP - 413

JO - Forest Science

JF - Forest Science

IS - 4

ER -