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New formula and conversion factor to compute basic wood density of tree species using a global wood technology
Ghislain Vieilledent1,2,3, Fabian Jörg Fischer4, Jérôme Chave4
1CIRAD, UPR Forêts et Sociétés, F-34398, Montpellier, France.
American Journal of Botany
|October 17, 2018
Summary
A new conversion factor (Db = 0.828D12) accurately estimates basic wood density from 12% moisture content. This finding improves ecological studies and prevents overestimating global forest carbon stocks.
Area of Science:
- Ecology
- Forestry
- Wood Science
Background:
- Basic wood density is a key ecological trait for woody plants.
- It is crucial for assessing species performance, community ecology, and calculating tree and forest biomass for carbon cycle studies.
- Accurate conversion of wood density measurements is essential for ecological applications.
Purpose of the Study:
- To derive a new, exact formula for calculating basic wood density (Db) from density at a given moisture content (Dw), fiber saturation point (S), and volumetric shrinkage coefficient (R).
- To estimate a new conversion factor for basic wood density using a comprehensive global wood technology database.
- To address inconsistencies in previous conversion factors used for basic wood density estimation.
Main Methods:
- Derived a new theoretical formula to convert wood density at moisture content (Dw) to basic wood density (Db).
- Utilized a global wood technology database (4022 trees, 64 countries, 872 species) to estimate a new conversion factor.
- Validated the formula and conversion factor against existing data and theoretical principles.
Main Results:
- Established a new, exact formula for basic wood density: Db = 0.828D12.
- Demonstrated that previous conversion factors for estimating basic wood density from 12% moisture content are inconsistent.
- The new conversion factor yields basic wood density estimates that are 4-5% lower than those from previous methods.
Conclusions:
- The new conversion factor (0.828) should be adopted for deriving basic wood densities in global databases.
- Implementing this factor will prevent the overestimation of global forest carbon stocks.
- Improved basic wood density estimations will enhance predictions of tree species community dynamics.
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