Global wood density database

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Generalizing predictive models of forest inventory attributes using an area-based approach with airborne LiDAR data (2015, methodology): “Species-specific equations were missing for other species present on the sites, and therefore, the global wood density database (Zanne et al., 2009) was used to predict reference AGBs from wood volumes.”
Allometric equation for predicting aboveground biomass of three tree species (2011, methodology): “The wood gravity of the genus Drypetes ranges from 0.530–0.850 g cm-3, with mean of 0.707 g cm-3 (Zanne et al. 2009). biomass measurement All trees in the 11 stands were first inventoried for dbh.”
Drought-mortality relationships for tropical forests. (2010, methodology): “For mortality by wood density analyses, we only considered Amazon sites for which we have tree-by-tree census data and an extensive wood density database (Zanne et al., 2009).”
Amazon palm biomass and allometry (2013, methodology): “To test whether dmf is a better explanatory variable than wood density, we followed the established practice of assigning q values to each individual species to the finest taxonomy available according the Global Wood Density Database (Chave et al., 2009; Zanne et al., 2009).”