, Volume 25, Issue 4, pp 585–591

Age versus size determination of radial variation in wood specific gravity: lessons from eccentrics

Original Paper

DOI: 10.1007/s00468-010-0535-5

Cite this article as:
Williamson, G.B. & Wiemann, M.C. Trees (2011) 25: 585. doi:10.1007/s00468-010-0535-5


Radial increases in wood specific gravity have been shown to characterize early successional trees from tropical forests. Here, we develop and apply a novel method to test whether radial increases are determined by tree age or tree size. The method compares the slopes of specific gravity changes across a short radius and a long radius of trees with eccentric trunks. If radial changes are determined by size, then the slope of the change should be the same on both radii. If radial changes are determined by age, then the slope should be greater on the short radius. For 30 trees from 12 species with eccentricity of at least 4%, the ratio of the slopes of the linear regressions of specific gravity on radial distance (short radius slope/long radius slope) was regressed on the ratio of radii lengths (long radius/short radius). The regression was highly significant, and the faster increase in specific gravity on the short radius was sufficient to compensate for the difference in radius lengths, so the specific gravity of wood along the short radius was equal to the specific gravity on the long radius at any given proportional distance on the radius. Therefore, trees that are producing xylem faster on one radius than another produce wood of comparable specific gravity on both radii at the same time, so radial increases in specific gravity are dependent on tree age, not tree size.


Costa Rica Tree eccentricity Radial gradients Tree age and size Wood specific gravity 

Copyright information

© Springer-Verlag (outside the USA) 2010

Authors and Affiliations

  1. 1.Department of Biological SciencesLouisiana State UniversityBaton RougeUSA
  2. 2.Center for Wood Anatomy Research, USDA Forest Service, Forest Products LaboratoryMadisonUSA

Personalised recommendations