Estimating wood volume in plantation of Ocotea porosa

Authors

  • Andreia Taborda dos Santos Universidade Federal do Paraná
  • Patricia Povoa de Mattos Embrapa Florestas
  • Evaldo Muñoz Braz Embrapa Florestas
  • Nelson Carlos Rosot Universidade Federal do Paraná

Keywords:

Forest management, Araucaria Forest, Volume equation

Abstract

To know the volume of wood from a forest is extremely important. Volume equations for species from the Araucaria Forest are restricted almost exclusively to plantations of araucaria. Equations for Ocotea porosa (Nees & Mart.) Barroso plantations are inexistent. The present work aims to develop equation for individual tree volume and hypsometric relation from an Ocotea porosa, established in the region of Rio Negro, PR. Twelve trees were logged with DBH from 3.98 cm to 43.13 cm and height from 5.1 m to 20.4 m. All the trees were measured and cubed. Eleven mathematical models were tested for the development of the volume equation. The criteria used for selecting the best equation were the adjusted coefficient of determination, the standard error of estimative in percentage, the value of F calculated and graphical analysis of the residuals. The model-Kopezky Gehrart, presented a high coefficient of determination (0.97), low standard error of estimate (16.7%) and high value of calculated F (382.6), with good distribution of residuals. The results indicate that this model can be used to quantify the volume with bark, which is very important in conjunction with other information for decision making in forest management.

 

doi: 10.4336/2012.pfb.32.69.13

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Author Biography

Evaldo Muñoz Braz, Embrapa Florestas

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Published

2012-03-21

How to Cite

SANTOS, Andreia Taborda dos; MATTOS, Patricia Povoa de; BRAZ, Evaldo Muñoz; ROSOT, Nelson Carlos. Estimating wood volume in plantation of Ocotea porosa. Pesquisa Florestal Brasileira, [S. l.], v. 32, n. 69, p. 13, 2012. Disponível em: https://pfb.sede.embrapa.br/pfb/article/view/327. Acesso em: 7 jun. 2025.

Issue

Vol. 32 No. 69 (2012): jan./mar.

Section

Articles

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