PT  - JOURNAL ARTICLE
AU  - Ghislain Vieilledent
AU  - Fabian Jörg Fischer
AU  - Jérôme Chave
AU  - Daniel Guibal
AU  - Patrick Langbour
AU  - Jean Gérard
TI  - New formula and conversion factor to compute tree species basic wood density from a global wood technology database
AID  - 10.1101/274068
DP  - 2018 Jan 01
TA  - bioRxiv
PG  - 274068
4099  - http://biorxiv.org/content/early/2018/07/01/274068.short
4100  - http://biorxiv.org/content/early/2018/07/01/274068.full
AB  - Premise of the study Basic wood density is an important ecological trait for woody plants. It is used to characterize species performance and fitness in community ecology, and to compute tree and forest biomass in carbon cycle studies. While wood density has been historically measured at 12% moisture, it is convenient for ecological purposes to convert this measure to basic wood density, i.e. the ratio of dry mass over green volume. Basic wood density can then be used to compute tree dry biomass from living tree volume.Methods Here, we derive a new, exact formula to compute the basic wood density Db from the density at moisture content w denoted Dw, the fibre saturation point S, and the volumetric shrinkage coefficient R. We estimated a new conversion factor using a global wood technology database where values to use this formula are available for 4022 trees collected in 64 countries (mostly tropical) and representing 872 species.Key results We show that previous conversion factors used to convert densities at 12% moisture into basic wood densities are inconsistent. Based on theory and data, we found that basic wood density could be inferred from the density at 12% moisture using the following formula: Db = 0.828D122. This value of 0.828 provides basic wood density estimates 4-5% smaller than values inferred from previous conversion factors.Conclusions This new conversion factor should be used to derive basic wood densities in global wood density databases. This would prevent overestimating global forest carbon stocks and allow predicting better tree species community dynamics from wood density.