Models for predicting wood density variation in Scots pine

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

Research output: Contribution to journalArticle

34 Citations (Scopus)

Abstract

Because wood density is an important indicator of the end-use mechanical properties of sawn timber, detailed knowledge of its variation is important for optimizing value in processing. The aim of this study was to develop a model for predicting wood density variation in plantation-grown Scots pine (Pinus sylvestris L.) using position in the stem and radial growth increment as independent variables. Seventy trees, ranging in age at 1.3 m from 9 to 99 years, were sampled from 12 even-aged Scots pine stands in Scotland, UK. Pith-to-bark density profiles were obtained on 193 radial samples using scanning X-ray densitometry. We developed a mixed-effects model of average ring density (expressed as basic specific gravity) based on an exponential function of cambial age, height along the stem and annual ring width. Basic specific gravity ranged from 0.274 to 0.697, with a mean of 0.423, and increased rapidly from the pith until approximately rings 20–30, before stabilizing. In addition, there was a weak negative relationship between basic specific gravity and annual ring width, and for a given cambial age, basic specific gravity decreased with sampling height. The fixed effects of the final model were able to explain 57 per cent of the within-stem variation in wood density (78 per cent if random effects were included). The final model is intended for integration into a growth, yield and wood quality simulation system.
Original languageEnglish
Pages (from-to)449-458
Number of pages9
JournalForestry
Volume87
Issue number3
Early online date26 Feb 2014
DOIs
Publication statusPublished - 3 Jul 2014

Fingerprint Dive into the research topics of 'Models for predicting wood density variation in Scots pine'. Together they form a unique fingerprint.

  • Cite this

    Auty, D., Achim, A., MacDonald, E., Cameron, A. D., & Gardiner, B. A. (2014). Models for predicting wood density variation in Scots pine. Forestry, 87(3), 449-458. https://doi.org/10.1093/forestry/cpu005