%0 Journal Article
%T Towards the Fulfillment of a Knowledge Gap: Wood Densities for Species of the Subtropical Atlantic Forest
%J Data | An Open Access Journal from MDPI
%D 2019
%R https://doi.org/10.3390/data4030104
%X Wood density ( 老 ) is a trait involved in forest biomass estimates, forest ecology, prediction of stand stability, wood science, and engineering. Regardless of its importance, data on 老 are scarce for a substantial number of species of the vast Atlantic Forest phytogeographic domain. Given that, the present paper describes a dataset composed of three data tables: (i) determinations of 老 (kg m ˋ3) for 153 species growing in three forest types within the subtropical Atlantic Forest, based on wood samples collected throughout the state of Santa Catarina, southern Brazil; (ii) a list of 719 tree/shrub species observed by a state-level forest inventory and a 老 value assigned to each one of them based on local determinations and on a global database; (iii) the means and standard deviations of 老 for 477 permanent sample plots located in the subtropical Atlantic Forest, covering ‵95,000 km 2. The mean 老 over the 153 sampled species is 538.6 kg m ˋ3 (standard deviation = 120.5 kg m ˋ3), and the mean 老 per sample plot, considering the three forest types, is 525.0 kg m ˋ3 (standard error = 1.8 kg m ˋ3). The described dataset has potential to underpin studies on forest biomass, forest ecology, alternative uses of timber resources, as well as to enlarge the coverage of global datasets. View Full-Tex
%U https://www.mdpi.com/2306-5729/4/3/104