Estimation of the Basic Wood Density of Native Species Using Mixed Linear Models
Tipo de material:
ArtigoAssunto(s): Recursos online:
Em: Floresta e Ambiente (Brazil) v. 26(special number n.1) p. 1-10; (2019)Sumário:
ABSTRACT
This paper aimed to estimate the basic density (DB) of the wood of Cerrado species using mixed
linear models. For performing the DBH measurement, the sampling of 334 individuals was
carried out. By keeping the Pilodyn apparatus in the DBH position, two measurements were
made on opposite sides. Further, for determining DB, the trees were knocked down, followed
by removal of five wood discs at different height of stem positions. For this purpose, two sets
of modeling alternatives were proposed, which take into account with and without random
effects, employing species as a random effect grouping variable. Thus, it was elucidated that,
for the estimation of DB, the mixed model that considered the random effects performed better
as compared to the alternative model without random effects. The inclusion of random effects
leads to the estimation of DB with high accuracy.
Keywords: Cerrado stricto sensu, wood quality, regression.
| Tipo de material | Biblioteca atual | Coleção | Número de chamada | Informaçaõ do volume | Situação | Devolução em | Código de barras |
|---|---|---|---|---|---|---|---|
Periódicos
|
Biblioteca Nacional de Agricultura - Binagri Agrobase - Periódicos | Periódicos agrícolas | 2019 26( n. especial 1) | Online | 2025-0453 |
Publicação on-line; 49 ref.; 7 tables; 2 illus.; Summary (En)
ABSTRACT
This paper aimed to estimate the basic density (DB) of the wood of Cerrado species using mixed
linear models. For performing the DBH measurement, the sampling of 334 individuals was
carried out. By keeping the Pilodyn apparatus in the DBH position, two measurements were
made on opposite sides. Further, for determining DB, the trees were knocked down, followed
by removal of five wood discs at different height of stem positions. For this purpose, two sets
of modeling alternatives were proposed, which take into account with and without random
effects, employing species as a random effect grouping variable. Thus, it was elucidated that,
for the estimation of DB, the mixed model that considered the random effects performed better
as compared to the alternative model without random effects. The inclusion of random effects
leads to the estimation of DB with high accuracy.
Keywords: Cerrado stricto sensu, wood quality, regression.
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