Estimation of the Basic Wood Density of Native Species Using Mixed Linear Models
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Floresta e Ambiente |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-80872019005000112 |
Resumo: | 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. |
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Floresta e Ambiente |
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Estimation of the Basic Wood Density of Native Species Using Mixed Linear ModelsCerrado stricto sensuwood qualityregressionABSTRACT 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.Instituto de Florestas da Universidade Federal Rural do Rio de Janeiro2019-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-80872019005000112Floresta e Ambiente v.26 n.spe1 2019reponame:Floresta e Ambienteinstname:Universidade Federal do Rio de Janeiro (UFRJ)instacron:UFRJ10.1590/2179-8087.038718info:eu-repo/semantics/openAccessSilva,Jeferson Pereira MartinsFernandes,Márcia Rodrigues de MouraGonçalves,Anny Francielly AtaideLopes,Isáira Leite eSilva,Gilson Fernandes daCabacinha,Christian Diaseng2019-09-05T00:00:00Zoai:scielo:S2179-80872019005000112Revistahttps://www.floram.org/PUBhttps://old.scielo.br/oai/scielo-oai.phpfloramjournal@gmail.com||floram@ufrrj.br||2179-80871415-0980opendoar:2019-09-05T00:00Floresta e Ambiente - Universidade Federal do Rio de Janeiro (UFRJ)false |
dc.title.none.fl_str_mv |
Estimation of the Basic Wood Density of Native Species Using Mixed Linear Models |
title |
Estimation of the Basic Wood Density of Native Species Using Mixed Linear Models |
spellingShingle |
Estimation of the Basic Wood Density of Native Species Using Mixed Linear Models Silva,Jeferson Pereira Martins Cerrado stricto sensu wood quality regression |
title_short |
Estimation of the Basic Wood Density of Native Species Using Mixed Linear Models |
title_full |
Estimation of the Basic Wood Density of Native Species Using Mixed Linear Models |
title_fullStr |
Estimation of the Basic Wood Density of Native Species Using Mixed Linear Models |
title_full_unstemmed |
Estimation of the Basic Wood Density of Native Species Using Mixed Linear Models |
title_sort |
Estimation of the Basic Wood Density of Native Species Using Mixed Linear Models |
author |
Silva,Jeferson Pereira Martins |
author_facet |
Silva,Jeferson Pereira Martins Fernandes,Márcia Rodrigues de Moura Gonçalves,Anny Francielly Ataide Lopes,Isáira Leite e Silva,Gilson Fernandes da Cabacinha,Christian Dias |
author_role |
author |
author2 |
Fernandes,Márcia Rodrigues de Moura Gonçalves,Anny Francielly Ataide Lopes,Isáira Leite e Silva,Gilson Fernandes da Cabacinha,Christian Dias |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Silva,Jeferson Pereira Martins Fernandes,Márcia Rodrigues de Moura Gonçalves,Anny Francielly Ataide Lopes,Isáira Leite e Silva,Gilson Fernandes da Cabacinha,Christian Dias |
dc.subject.por.fl_str_mv |
Cerrado stricto sensu wood quality regression |
topic |
Cerrado stricto sensu wood quality regression |
description |
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. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-01-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-80872019005000112 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-80872019005000112 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/2179-8087.038718 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Instituto de Florestas da Universidade Federal Rural do Rio de Janeiro |
publisher.none.fl_str_mv |
Instituto de Florestas da Universidade Federal Rural do Rio de Janeiro |
dc.source.none.fl_str_mv |
Floresta e Ambiente v.26 n.spe1 2019 reponame:Floresta e Ambiente instname:Universidade Federal do Rio de Janeiro (UFRJ) instacron:UFRJ |
instname_str |
Universidade Federal do Rio de Janeiro (UFRJ) |
instacron_str |
UFRJ |
institution |
UFRJ |
reponame_str |
Floresta e Ambiente |
collection |
Floresta e Ambiente |
repository.name.fl_str_mv |
Floresta e Ambiente - Universidade Federal do Rio de Janeiro (UFRJ) |
repository.mail.fl_str_mv |
floramjournal@gmail.com||floram@ufrrj.br|| |
_version_ |
1750128143236071424 |