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

Author

Listed:
  • Laio Zimermann Oliveira

    (Departamento de Engenharia Florestal, Universidade Regional de Blumenau, Blumenau 89030-000, Santa Catarina, Brazil)

  • Heitor Felippe Uller

    (Departamento de Engenharia Florestal, Universidade Regional de Blumenau, Blumenau 89030-000, Santa Catarina, Brazil)

  • Aline Renata Klitzke

    (Planejamento Florestal, Klabin S.A., Otacílio Costa 88540-000, Santa Catarina, Brazil)

  • Jackson Roberto Eleotério

    (Departamento de Engenharia Florestal, Universidade Regional de Blumenau, Blumenau 89030-000, Santa Catarina, Brazil
    Programa de Pós-Graduação em Engenharia Florestal, Universidade Regional de Blumenau, Blumenau 89030-000, Santa Catarina, Brazil)

  • Alexander Christian Vibrans

    (Departamento de Engenharia Florestal, Universidade Regional de Blumenau, Blumenau 89030-000, Santa Catarina, Brazil
    Programa de Pós-Graduação em Engenharia Florestal, Universidade Regional de Blumenau, Blumenau 89030-000, Santa Catarina, Brazil)

Abstract

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 km 2 . 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.

Suggested Citation

  • Laio Zimermann Oliveira & Heitor Felippe Uller & Aline Renata Klitzke & Jackson Roberto Eleotério & Alexander Christian Vibrans, 2019. "Towards the Fulfillment of a Knowledge Gap: Wood Densities for Species of the Subtropical Atlantic Forest," Data, MDPI, vol. 4(3), pages 1-10, July.
  • Handle: RePEc:gam:jdataj:v:4:y:2019:i:3:p:104-:d:250178
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