ESTIMATE OF STAND DENSITY INDEX FOR EUCALYPTUS UROPHYLLA USING DIFFERENT FIT METHODS

Detalhes bibliográficos
Autor(a) principal: Possato,Ernani Lopes
Data de Publicação: 2016
Outros Autores: Calegario,Natalino, Nogueira,Gilciano Saraiva, Melo,Elliezer de Almeida, Alves,Joyce de Almeida
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista Árvore (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-67622016000500921
Resumo: ABSTRACT The Reineke stand density index (SDI) was created on 1933 and remains as target of researches due to its importance on helping decision making regarding the management of population density. Part of such works is focused on the manner by which plots were selected and methods for the fit of Reineke model parameters in order to improve the definition of SDI value for the genetic material evaluated. The present study aimed to estimate the SDI value for Eucalyptus urophylla using the Reineke model fitted by the method of linear regression (LR) and stochastic frontier analysis (SFA). The database containing pairs of data number of stems per hectare (N) and mean quadratic diameter (Dq) was selected in three intensities, containing the 8, 30 and 43 plots of greatest density, and models were fitted by LR and SFA on each selected intensities. The intensity of data selection altered slightly the estimates of parameters and SDI when comparing the fits of each method. On the other hand, the adjust method influenced the mean estimated values of slope and SDI, which corresponded to -1.863 and 740 for LR and -1.582 and 810 for SFA.
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spelling ESTIMATE OF STAND DENSITY INDEX FOR EUCALYPTUS UROPHYLLA USING DIFFERENT FIT METHODSReineke IndexStochastic Frontier AnalysisLinear RegressionABSTRACT The Reineke stand density index (SDI) was created on 1933 and remains as target of researches due to its importance on helping decision making regarding the management of population density. Part of such works is focused on the manner by which plots were selected and methods for the fit of Reineke model parameters in order to improve the definition of SDI value for the genetic material evaluated. The present study aimed to estimate the SDI value for Eucalyptus urophylla using the Reineke model fitted by the method of linear regression (LR) and stochastic frontier analysis (SFA). The database containing pairs of data number of stems per hectare (N) and mean quadratic diameter (Dq) was selected in three intensities, containing the 8, 30 and 43 plots of greatest density, and models were fitted by LR and SFA on each selected intensities. The intensity of data selection altered slightly the estimates of parameters and SDI when comparing the fits of each method. On the other hand, the adjust method influenced the mean estimated values of slope and SDI, which corresponded to -1.863 and 740 for LR and -1.582 and 810 for SFA.Sociedade de Investigações Florestais2016-10-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-67622016000500921Revista Árvore v.40 n.5 2016reponame:Revista Árvore (Online)instname:Universidade Federal de Viçosa (UFV)instacron:SIF10.1590/0100-67622016000500016info:eu-repo/semantics/openAccessPossato,Ernani LopesCalegario,NatalinoNogueira,Gilciano SaraivaMelo,Elliezer de AlmeidaAlves,Joyce de Almeidaeng2016-11-30T00:00:00Zoai:scielo:S0100-67622016000500921Revistahttp://www.scielo.br/revistas/rarv/iaboutj.htmPUBhttps://old.scielo.br/oai/scielo-oai.php||r.arvore@ufv.br1806-90880100-6762opendoar:2016-11-30T00:00Revista Árvore (Online) - Universidade Federal de Viçosa (UFV)false
dc.title.none.fl_str_mv ESTIMATE OF STAND DENSITY INDEX FOR EUCALYPTUS UROPHYLLA USING DIFFERENT FIT METHODS
title ESTIMATE OF STAND DENSITY INDEX FOR EUCALYPTUS UROPHYLLA USING DIFFERENT FIT METHODS
spellingShingle ESTIMATE OF STAND DENSITY INDEX FOR EUCALYPTUS UROPHYLLA USING DIFFERENT FIT METHODS
Possato,Ernani Lopes
Reineke Index
Stochastic Frontier Analysis
Linear Regression
title_short ESTIMATE OF STAND DENSITY INDEX FOR EUCALYPTUS UROPHYLLA USING DIFFERENT FIT METHODS
title_full ESTIMATE OF STAND DENSITY INDEX FOR EUCALYPTUS UROPHYLLA USING DIFFERENT FIT METHODS
title_fullStr ESTIMATE OF STAND DENSITY INDEX FOR EUCALYPTUS UROPHYLLA USING DIFFERENT FIT METHODS
title_full_unstemmed ESTIMATE OF STAND DENSITY INDEX FOR EUCALYPTUS UROPHYLLA USING DIFFERENT FIT METHODS
title_sort ESTIMATE OF STAND DENSITY INDEX FOR EUCALYPTUS UROPHYLLA USING DIFFERENT FIT METHODS
author Possato,Ernani Lopes
author_facet Possato,Ernani Lopes
Calegario,Natalino
Nogueira,Gilciano Saraiva
Melo,Elliezer de Almeida
Alves,Joyce de Almeida
author_role author
author2 Calegario,Natalino
Nogueira,Gilciano Saraiva
Melo,Elliezer de Almeida
Alves,Joyce de Almeida
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Possato,Ernani Lopes
Calegario,Natalino
Nogueira,Gilciano Saraiva
Melo,Elliezer de Almeida
Alves,Joyce de Almeida
dc.subject.por.fl_str_mv Reineke Index
Stochastic Frontier Analysis
Linear Regression
topic Reineke Index
Stochastic Frontier Analysis
Linear Regression
description ABSTRACT The Reineke stand density index (SDI) was created on 1933 and remains as target of researches due to its importance on helping decision making regarding the management of population density. Part of such works is focused on the manner by which plots were selected and methods for the fit of Reineke model parameters in order to improve the definition of SDI value for the genetic material evaluated. The present study aimed to estimate the SDI value for Eucalyptus urophylla using the Reineke model fitted by the method of linear regression (LR) and stochastic frontier analysis (SFA). The database containing pairs of data number of stems per hectare (N) and mean quadratic diameter (Dq) was selected in three intensities, containing the 8, 30 and 43 plots of greatest density, and models were fitted by LR and SFA on each selected intensities. The intensity of data selection altered slightly the estimates of parameters and SDI when comparing the fits of each method. On the other hand, the adjust method influenced the mean estimated values of slope and SDI, which corresponded to -1.863 and 740 for LR and -1.582 and 810 for SFA.
publishDate 2016
dc.date.none.fl_str_mv 2016-10-01
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=S0100-67622016000500921
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-67622016000500921
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/0100-67622016000500016
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 Sociedade de Investigações Florestais
publisher.none.fl_str_mv Sociedade de Investigações Florestais
dc.source.none.fl_str_mv Revista Árvore v.40 n.5 2016
reponame:Revista Árvore (Online)
instname:Universidade Federal de Viçosa (UFV)
instacron:SIF
instname_str Universidade Federal de Viçosa (UFV)
instacron_str SIF
institution SIF
reponame_str Revista Árvore (Online)
collection Revista Árvore (Online)
repository.name.fl_str_mv Revista Árvore (Online) - Universidade Federal de Viçosa (UFV)
repository.mail.fl_str_mv ||r.arvore@ufv.br
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