Inter-tree and intra-tree variations in ring width and wood density components in balsam fir ( Abies balsamea )

Koga, Shinya; Zhang, S. Y.

doi:10.1007/s00226-004-0222-z

Cited by 39 publications

(52 citation statements)

References 8 publications

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“…The results obtained in this and other studies regarding growth components are compiled in Tab Comparing to other softwood species, the RW values of Scots pine wood obtained in this study were similar to those found in Pinus brutia, Abies balsamea, and Pinus pinaster, ranging from 2.06 to 3.51 mm (Louzada 1991, 2000, Koga & Zhang 2004, Guller et al 2012. Exceptions were found for Picea mariana (4.03 mm) and Pinus pinaster (4.22 to 5.13 mm) in younger trees with ages from 15 to 18 years (Zhang & Jiang 1998, Louzada & Fonseca 2002, Gaspar et al 2008a.…”

Section: Iforest -Biogeosciences and Forestrysupporting

confidence: 83%

“…4). As for Pinus sylvestris, no data was found in literature, while a much lower HI was reported by Zhang & Jiang (1998) for Picea mariana (58 kg m -3 ), and Koga & Zhang (2004) for Abies balsamea (79 kg m -3 -Tab. 4).…”

Section: Iforest -Biogeosciences and Forestrymentioning

confidence: 81%

“…Lower wood densities were found for other resinous trees, namely Pinus brutia, Abies balsamea and Picea mariana, with values ranging from 351 to 495 kg m -3 (Zhang & Jiang 1998, Koga & Zhang 2004, Guller et al 2012. Although the Portuguese Scots pine stands are somewhat older (average of 55 years) than the remaining stands of other species (15 to 38 years), there is a tendency for Pinus sylvestris growing in Portugal to have slightly denser wood than resinous trees from other regions.…”

Section: Iforest -Biogeosciences and Forestrymentioning

confidence: 83%

“…4). LWD values of other resinous trees, such as Pinus brutia, Abies balsamea and Picea mariana, were also lower ranging from 550 to 620 kg m -3 (Zhang & Jiang 1998, Koga & Zhang 2004, Guller et al 2012.…”

Section: Iforest -Biogeosciences and Forestrymentioning

confidence: 96%

“…However, wood is highly variable and anisotropic (i.e., its properties vary depending on direction) as the result of unequal cambial growth and orientation of wood fibres. Understanding such variability is of critical importance to improve the quality, processing and use of wood (Zobel & Van Buijtenen 1989, Koga & Zhang 2004). In particular, wood quality is defined as the specific combination of its properties that are most suitable for a specific final product (Zobel & Van Buijtenen 1989), and depends on physical (e.g., wood density), chemical tent of cellulose, hemicellulose and lignin), anatomical (morphology of the wood cell), and mechanical (modulus of elasticity and rupture) features of wood (Zobel & Van Buijtenen 1989, Steffenrem et al 2007.…”

Section: Introductionmentioning

confidence: 99%

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Physical, chemical and mechanical properties of Pinus sylvestris wood at five sites in Portugal

Fernandes¹,

Gaspar²,

Pires³

et al. 2017

iForest

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(4-5)The reduction of resinous species in Portuguese forest areas has caused constraints to wood industry supplies. Portugal represents the extreme southwest of Scots pine (Pinus sylvestris) natural distribution and large gaps exist in the knowledge of its wood-quality characteristics. Understanding the relationship between these traits is important for recognizing which combination of wood properties is the most suitable for specific uses. To address these questions, we assessed wood-quality traits, namely, wood-density components (microdensitometric analysis), chemical composition (NIR spectrometry) and mechanical properties (bending tests) of wood samples collected at five representative forest sites in Portugal. Our results showed that Portuguese Pinus sylvestris has good radial growth and denser wood, higher extractive content and higher stiffness and strength than northern European provenances. The lignin content was within the range attributed to softwoods. Among the Portuguese stands, trees growing at lower-altitude sites exhibited denser wood and higher mechanical properties, while trees from high-elevations showed higher amounts of lignin. Ring density was more strongly correlated with earlywood than latewood density. A negative, non-significant correlation was found between ring density and width, supporting the assumption that the higher radial growth (ring width) does not negatively affect wood quality (density). In general, chemical properties had a weak relationship with physical and mechanical properties (MOE and MOR). Both mechanical traits were positively correlated with density and growth components, supporting the assumption that trees with high radial growth do not exhibit poorer mechanical performances.

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