A SYSTEM FOR Pinus taeda GROWTH AND YIELD IN THE NORTH OF SANTA CATARINA

Detalhes bibliográficos
Autor(a) principal: Nascimento, Flávio Augusto Ferreira do
Data de Publicação: 2016
Outros Autores: Dias, Andrea Nogueira, Figueiredo Filho, Afonso, Miranda, Gabriel de Magalhães, Arce, Julio Eduardo
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Cerne (Online)
Texto Completo: https://cerne.ufla.br/site/index.php/CERNE/article/view/1060
Resumo: The objective of this study was to test different models for fitting site index curves and evaluat the Clutter model for predicting Pinus taeda growth and yield in the northern State of Santa Catarina. The dominant height data were obtained from 216 plots measured in 2009, with an area of 400 m². To fit the Clutter model we used data from permanent plots, conducted between 2004 and 2008 in areas aged between 5 and 34 years. The coefficient of determination (R²adj), standard error of estimate (Syx), standard error of estimate in percentage (Syx%) and residual percentage distribution were the statistics used to select the best model. The Silva-Bailey model was the most appropriated to represent site index curves, while the Clutter model performed well for estimating the growth and yield (m³.ha-1), from a statistical and biological point of view.
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spelling A SYSTEM FOR Pinus taeda GROWTH AND YIELD IN THE NORTH OF SANTA CATARINAExplicit system of productionthinningtechnical cutting agesite index.The objective of this study was to test different models for fitting site index curves and evaluat the Clutter model for predicting Pinus taeda growth and yield in the northern State of Santa Catarina. The dominant height data were obtained from 216 plots measured in 2009, with an area of 400 m². To fit the Clutter model we used data from permanent plots, conducted between 2004 and 2008 in areas aged between 5 and 34 years. The coefficient of determination (R²adj), standard error of estimate (Syx), standard error of estimate in percentage (Syx%) and residual percentage distribution were the statistics used to select the best model. The Silva-Bailey model was the most appropriated to represent site index curves, while the Clutter model performed well for estimating the growth and yield (m³.ha-1), from a statistical and biological point of view.CERNECERNE2016-04-07info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://cerne.ufla.br/site/index.php/CERNE/article/view/1060CERNE; Vol. 21 No. 2 (2015); 235-242CERNE; v. 21 n. 2 (2015); 235-2422317-63420104-7760reponame:Cerne (Online)instname:Universidade Federal de Lavras (UFLA)instacron:UFLAenghttps://cerne.ufla.br/site/index.php/CERNE/article/view/1060/831Copyright (c) 2016 CERNEinfo:eu-repo/semantics/openAccessNascimento, Flávio Augusto Ferreira doDias, Andrea NogueiraFigueiredo Filho, AfonsoMiranda, Gabriel de MagalhãesArce, Julio Eduardo2016-04-20T10:37:29Zoai:cerne.ufla.br:article/1060Revistahttps://cerne.ufla.br/site/index.php/CERNEPUBhttps://cerne.ufla.br/site/index.php/CERNE/oaicerne@dcf.ufla.br||cerne@dcf.ufla.br2317-63420104-7760opendoar:2024-05-21T19:54:21.925634Cerne (Online) - Universidade Federal de Lavras (UFLA)true
dc.title.none.fl_str_mv A SYSTEM FOR Pinus taeda GROWTH AND YIELD IN THE NORTH OF SANTA CATARINA
title A SYSTEM FOR Pinus taeda GROWTH AND YIELD IN THE NORTH OF SANTA CATARINA
spellingShingle A SYSTEM FOR Pinus taeda GROWTH AND YIELD IN THE NORTH OF SANTA CATARINA
Nascimento, Flávio Augusto Ferreira do
Explicit system of production
thinning
technical cutting age
site index.
title_short A SYSTEM FOR Pinus taeda GROWTH AND YIELD IN THE NORTH OF SANTA CATARINA
title_full A SYSTEM FOR Pinus taeda GROWTH AND YIELD IN THE NORTH OF SANTA CATARINA
title_fullStr A SYSTEM FOR Pinus taeda GROWTH AND YIELD IN THE NORTH OF SANTA CATARINA
title_full_unstemmed A SYSTEM FOR Pinus taeda GROWTH AND YIELD IN THE NORTH OF SANTA CATARINA
title_sort A SYSTEM FOR Pinus taeda GROWTH AND YIELD IN THE NORTH OF SANTA CATARINA
author Nascimento, Flávio Augusto Ferreira do
author_facet Nascimento, Flávio Augusto Ferreira do
Dias, Andrea Nogueira
Figueiredo Filho, Afonso
Miranda, Gabriel de Magalhães
Arce, Julio Eduardo
author_role author
author2 Dias, Andrea Nogueira
Figueiredo Filho, Afonso
Miranda, Gabriel de Magalhães
Arce, Julio Eduardo
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Nascimento, Flávio Augusto Ferreira do
Dias, Andrea Nogueira
Figueiredo Filho, Afonso
Miranda, Gabriel de Magalhães
Arce, Julio Eduardo
dc.subject.por.fl_str_mv Explicit system of production
thinning
technical cutting age
site index.
topic Explicit system of production
thinning
technical cutting age
site index.
description The objective of this study was to test different models for fitting site index curves and evaluat the Clutter model for predicting Pinus taeda growth and yield in the northern State of Santa Catarina. The dominant height data were obtained from 216 plots measured in 2009, with an area of 400 m². To fit the Clutter model we used data from permanent plots, conducted between 2004 and 2008 in areas aged between 5 and 34 years. The coefficient of determination (R²adj), standard error of estimate (Syx), standard error of estimate in percentage (Syx%) and residual percentage distribution were the statistics used to select the best model. The Silva-Bailey model was the most appropriated to represent site index curves, while the Clutter model performed well for estimating the growth and yield (m³.ha-1), from a statistical and biological point of view.
publishDate 2016
dc.date.none.fl_str_mv 2016-04-07
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://cerne.ufla.br/site/index.php/CERNE/article/view/1060
url https://cerne.ufla.br/site/index.php/CERNE/article/view/1060
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://cerne.ufla.br/site/index.php/CERNE/article/view/1060/831
dc.rights.driver.fl_str_mv Copyright (c) 2016 CERNE
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2016 CERNE
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv CERNE
CERNE
publisher.none.fl_str_mv CERNE
CERNE
dc.source.none.fl_str_mv CERNE; Vol. 21 No. 2 (2015); 235-242
CERNE; v. 21 n. 2 (2015); 235-242
2317-6342
0104-7760
reponame:Cerne (Online)
instname:Universidade Federal de Lavras (UFLA)
instacron:UFLA
instname_str Universidade Federal de Lavras (UFLA)
instacron_str UFLA
institution UFLA
reponame_str Cerne (Online)
collection Cerne (Online)
repository.name.fl_str_mv Cerne (Online) - Universidade Federal de Lavras (UFLA)
repository.mail.fl_str_mv cerne@dcf.ufla.br||cerne@dcf.ufla.br
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