Please use this identifier to cite or link to this item: http://repositorio.ufla.br/jspui/handle/1/36391
metadata.artigo.dc.title: Integrated system of equations for estimating stem volume, density, and biomass for Australian redcedar (Toona ciliata) plantations
metadata.artigo.dc.creator: Calegario, Natalino
Gregoire, Timothy G.
Silva, Tatiane Antunes da
Tomazello Filho, Mario
Alves, Joyce A.
metadata.artigo.dc.subject: Wood density
Toona ciliata
System of equations
Wood technology
Biomass estimation
metadata.artigo.dc.publisher: Canadian Science Publishing
metadata.artigo.dc.date.issued: May-2017
metadata.artigo.dc.identifier.citation: CALEGARIO, N. et al. Integrated system of equations for estimating stem volume, density, and biomass for Australian redcedar (Toona ciliata) plantations. Canadian Journal of Forest Research, [S.l.], v. 47, n. 5, May 2017.
metadata.artigo.dc.description.abstract: A system of equations is proposed to assess the stem wood density variation of Toona ciliata M. Roem. growing in Brazilian plantations. As a taper function, a third-degree polynomial was fitted and the stem radius squared (r2), the dependent variable, was estimated as a function of diameter at breast height (dbh), total height (ht), and radius (r) at height (h). A nonlinear function was fitted to estimate wood density variation, having as the independent variable the ratio of r to h. The stem mass was estimated by integrating the product of stem volume and wood density. Stem measurements from a group of 72 trees of T. ciliata were used to fit the taper equation. A group of six trees was selected and a wood density database was created using X-ray technology. Both the taper and the nonlinear functions performed well in estimating the radius and the wood density. The within-tree wood density systematically increased from pith to bark and from the base to the top of the tree. With the density varying from base to top, the estimated mass of the stem, compared with the mass estimated using wood density value at dbh, had a bias of 4.2%. When the density variations from base to top and from pith to bark of the tree were considered, the estimated mass had a bias of 1.5%.
metadata.artigo.dc.identifier.uri: https://www.nrcresearchpress.com/doi/full/10.1139/cjfr-2016-0135#.XV6Bg-NKgdU
http://repositorio.ufla.br/jspui/handle/1/36391
metadata.artigo.dc.language: en_US
Appears in Collections:DCF - Artigos publicados em periódicos

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