BACKGROUND A crucial functional trait related to plant strategies is wood density. Wood density is determined as the ratio between the wood dry mass and its fresh volume. Standard laboratory methods for wood density determination are the norm, but other non-standard methods can also be used, especially in the field. Presently, we do not know how accurate these non-standard methods are. This research compared standard and non-standard methods for wood density determination while taking into consideration particular plant growth forms that are often neglected in wood density studies (e.g., lianas, short shrubs). SCOPE Wood density was estimated and compared using the standard methods (water-displacement for volume and oven-drying at 101 °C for 72 hours for mass) and non-standard methods (geometric for volume and oven-drying at 70 °C for 72 hours for mass) for 153 species with different growth forms and taxonomic orders. KEY RESULTS Across species and growth forms, wood density did not vary as a result of the drying temperature. However, wood density was on average underestimated by 5.36% when the volume determination was done using the geometric instead of the water displacement method. The standard deviation of wood density was also significantly higher when using the geometric method for volume determination. These differences in wood density estimation were not altered by growth form, taxonomic order, or the size of the woody sample. CONCLUSIONS It is statistically reliable to estimate wood density following the drying of samples at 70 °C for 72 h. The difference in the amount of water that remains in the wood after drying between 70 and 101 °C for 72 h is negligible. However, the geometric method of wood volume determination is likely to incur a "positive bias" of overestimation, which was attributed to error in estimation of wood density.
Standard and non-standard measurements of wood density: how big is the breach?
Published 2025 in Annals of Botany
ABSTRACT
PUBLICATION RECORD
- Publication year
2025
- Venue
Annals of Botany
- Publication date
2025-05-14
- Fields of study
Medicine, Environmental Science
- Identifiers
- External record
- Source metadata
Semantic Scholar, PubMed
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