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Towards the Fulfillment of a Knowledge Gap: Wood Densities for Species of the Subtropical Atlantic Forest

1
Departamento de Engenharia Florestal, Universidade Regional de Blumenau, Blumenau 89030-000, Santa Catarina, Brazil
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Planejamento Florestal, Klabin S.A., Otacílio Costa 88540-000, Santa Catarina, Brazil
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Programa de Pós-Graduação em Engenharia Florestal, Universidade Regional de Blumenau, Blumenau 89030-000, Santa Catarina, Brazil
*
Author to whom correspondence should be addressed.
Data 2019, 4(3), 104; https://doi.org/10.3390/data4030104
Received: 27 June 2019 / Revised: 16 July 2019 / Accepted: 18 July 2019 / Published: 20 July 2019
(This article belongs to the Special Issue Forest Monitoring Systems and Assessments at Multiple Scales)
Wood density ( ρ ) is a trait involved in forest biomass estimates, forest ecology, prediction of stand stability, wood science, and engineering. Regardless of its importance, data on ρ 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 ρ (kg m−3) 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 ρ value assigned to each one of them based on local determinations and on a global database; (iii) the means and standard deviations of ρ for 477 permanent sample plots located in the subtropical Atlantic Forest, covering ∼95,000 km2. The mean ρ over the 153 sampled species is 538.6 kg m−3 (standard deviation = 120.5 kg m−3), and the mean ρ per sample plot, considering the three forest types, is 525.0 kg m−3 (standard error = 1.8 kg m−3). 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-Text
Keywords: rainforest; wood specific gravity; aboveground biomass; functional traits rainforest; wood specific gravity; aboveground biomass; functional traits
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Zimermann Oliveira, L.; Felippe Uller, H.; Renata Klitzke, A.; Roberto Eleotério, J.; Christian Vibrans, A. Towards the Fulfillment of a Knowledge Gap: Wood Densities for Species of the Subtropical Atlantic Forest. Data 2019, 4, 104.

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