HEIGHT-DIAMETER MODELS IN FORESTRY WITH INCLUSION OF COVARIATES
Autor(a) principal: | |
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Data de Publicação: | 2015 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Cerne (Online) |
Texto Completo: | https://cerne.ufla.br/site/index.php/CERNE/article/view/187 |
Resumo: | The main difficulty in selecting height-diameter relationships is the large number of variables involved. Techniques for decomposition of model parameters with inclusion of covariates relating to individual trees and to the stand collectively can improve model precision. This study aimed to evaluate quality improvement in the fit of height-diameter models by inclusion of covariates. The datain this study was obtained from commercial Eucalyptus sp. plantations in southernBahia state. Firstly two reduced models were fitted, onelinear and another nonlinear, considering the same trend of height variation as a function of diameter, for all geneticmaterials being studied. Between the two, the logistic model presented the bestperformance for the relevant database. After fitting parameters for the selected model, the complete formulation was fit with inclusion of variables relating to individual trees, which improved model precision. A reduction of 17% was observed in the residual standard error value when comparing reduced model and complete model, with inclusion of covariates. |
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Cerne (Online) |
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HEIGHT-DIAMETER MODELS IN FORESTRY WITH INCLUSION OF COVARIATESEucalyptusheight-diameter relationshipcovariatesThe main difficulty in selecting height-diameter relationships is the large number of variables involved. Techniques for decomposition of model parameters with inclusion of covariates relating to individual trees and to the stand collectively can improve model precision. This study aimed to evaluate quality improvement in the fit of height-diameter models by inclusion of covariates. The datain this study was obtained from commercial Eucalyptus sp. plantations in southernBahia state. Firstly two reduced models were fitted, onelinear and another nonlinear, considering the same trend of height variation as a function of diameter, for all geneticmaterials being studied. Between the two, the logistic model presented the bestperformance for the relevant database. After fitting parameters for the selected model, the complete formulation was fit with inclusion of variables relating to individual trees, which improved model precision. A reduction of 17% was observed in the residual standard error value when comparing reduced model and complete model, with inclusion of covariates. CERNECERNE2015-05-20info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://cerne.ufla.br/site/index.php/CERNE/article/view/187CERNE; Vol. 15 No. 3 (2009); 313-321CERNE; v. 15 n. 3 (2009); 313-3212317-63420104-7760reponame:Cerne (Online)instname:Universidade Federal de Lavras (UFLA)instacron:UFLAporhttps://cerne.ufla.br/site/index.php/CERNE/article/view/187/160Copyright (c) 2015 Mayara Aparecida Maciel Guimarães, Natalino Calegário, Luiz Marcelo Tavares de Carvalho, Paulo Fernando Trugilhoinfo:eu-repo/semantics/openAccessGuimarães, Mayara Aparecida MacielCalegário, NatalinoCarvalho, Luiz Marcelo Tavares deTrugilho, Paulo Fernando2015-11-06T13:22:42Zoai:cerne.ufla.br:article/187Revistahttps://cerne.ufla.br/site/index.php/CERNEPUBhttps://cerne.ufla.br/site/index.php/CERNE/oaicerne@dcf.ufla.br||cerne@dcf.ufla.br2317-63420104-7760opendoar:2024-05-21T19:53:36.642430Cerne (Online) - Universidade Federal de Lavras (UFLA)true |
dc.title.none.fl_str_mv |
HEIGHT-DIAMETER MODELS IN FORESTRY WITH INCLUSION OF COVARIATES |
title |
HEIGHT-DIAMETER MODELS IN FORESTRY WITH INCLUSION OF COVARIATES |
spellingShingle |
HEIGHT-DIAMETER MODELS IN FORESTRY WITH INCLUSION OF COVARIATES Guimarães, Mayara Aparecida Maciel Eucalyptus height-diameter relationship covariates |
title_short |
HEIGHT-DIAMETER MODELS IN FORESTRY WITH INCLUSION OF COVARIATES |
title_full |
HEIGHT-DIAMETER MODELS IN FORESTRY WITH INCLUSION OF COVARIATES |
title_fullStr |
HEIGHT-DIAMETER MODELS IN FORESTRY WITH INCLUSION OF COVARIATES |
title_full_unstemmed |
HEIGHT-DIAMETER MODELS IN FORESTRY WITH INCLUSION OF COVARIATES |
title_sort |
HEIGHT-DIAMETER MODELS IN FORESTRY WITH INCLUSION OF COVARIATES |
author |
Guimarães, Mayara Aparecida Maciel |
author_facet |
Guimarães, Mayara Aparecida Maciel Calegário, Natalino Carvalho, Luiz Marcelo Tavares de Trugilho, Paulo Fernando |
author_role |
author |
author2 |
Calegário, Natalino Carvalho, Luiz Marcelo Tavares de Trugilho, Paulo Fernando |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Guimarães, Mayara Aparecida Maciel Calegário, Natalino Carvalho, Luiz Marcelo Tavares de Trugilho, Paulo Fernando |
dc.subject.por.fl_str_mv |
Eucalyptus height-diameter relationship covariates |
topic |
Eucalyptus height-diameter relationship covariates |
description |
The main difficulty in selecting height-diameter relationships is the large number of variables involved. Techniques for decomposition of model parameters with inclusion of covariates relating to individual trees and to the stand collectively can improve model precision. This study aimed to evaluate quality improvement in the fit of height-diameter models by inclusion of covariates. The datain this study was obtained from commercial Eucalyptus sp. plantations in southernBahia state. Firstly two reduced models were fitted, onelinear and another nonlinear, considering the same trend of height variation as a function of diameter, for all geneticmaterials being studied. Between the two, the logistic model presented the bestperformance for the relevant database. After fitting parameters for the selected model, the complete formulation was fit with inclusion of variables relating to individual trees, which improved model precision. A reduction of 17% was observed in the residual standard error value when comparing reduced model and complete model, with inclusion of covariates. |
publishDate |
2015 |
dc.date.none.fl_str_mv |
2015-05-20 |
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/187 |
url |
https://cerne.ufla.br/site/index.php/CERNE/article/view/187 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://cerne.ufla.br/site/index.php/CERNE/article/view/187/160 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
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. 15 No. 3 (2009); 313-321 CERNE; v. 15 n. 3 (2009); 313-321 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 |
_version_ |
1799874939580317696 |