HEIGHT-DIAMETER MODELS FOR Eucalyptus sp. PLANTATIONS IN BRAZIL

Detalhes bibliográficos
Autor(a) principal: Ferraz Filho, Antônio Carlos
Data de Publicação: 2018
Outros Autores: Mola-Yudego, Blas, Ribeiro, Andressa, Scolforo, José Roberto Soares, Loos, Rodolfo Araújo, Scolforo, Henrique Ferraço
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Cerne (Online)
Texto Completo: https://cerne.ufla.br/site/index.php/CERNE/article/view/1766
Resumo: The use of height-diameter models have important applications in the management of eucalyptus plantations. The aim of this paper is to provide adequate height models based on the diameter and stand variables that could be easily used and applied to plantation’s management. The data was based on tests located in Espírito Santo and Bahia. A total of 312 plots, including 35 different treatments (different initial planting densities, number of thinning operations, thinnings, fertilization regimes, among others), and four different clones. This resulted in 2,407 conditions for 85,608 tree measurements. The constructed equations were based on mixed-effect models, in order to accommodate possible autocorrelations, to address variations between sites and to obtain locally calibrated estimates. Among the different model structures and combination of variables tested and presented, the best model showed a coefficient of determination of 0.953 and 0.988, for the fixed and fixed+random parts, respectively. The model included a random factor for measurements-within-tree and tree-within-plot. The bias of the fixed part was 0.208 cm (0.0659%). We believe the models in this study can have broad applications in management and inventory methods applied to plantations.
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spelling HEIGHT-DIAMETER MODELS FOR Eucalyptus sp. PLANTATIONS IN BRAZILforest inventory, mixed effect models, tree height predictionThe use of height-diameter models have important applications in the management of eucalyptus plantations. The aim of this paper is to provide adequate height models based on the diameter and stand variables that could be easily used and applied to plantation’s management. The data was based on tests located in Espírito Santo and Bahia. A total of 312 plots, including 35 different treatments (different initial planting densities, number of thinning operations, thinnings, fertilization regimes, among others), and four different clones. This resulted in 2,407 conditions for 85,608 tree measurements. The constructed equations were based on mixed-effect models, in order to accommodate possible autocorrelations, to address variations between sites and to obtain locally calibrated estimates. Among the different model structures and combination of variables tested and presented, the best model showed a coefficient of determination of 0.953 and 0.988, for the fixed and fixed+random parts, respectively. The model included a random factor for measurements-within-tree and tree-within-plot. The bias of the fixed part was 0.208 cm (0.0659%). We believe the models in this study can have broad applications in management and inventory methods applied to plantations.CERNECERNE2018-04-16info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://cerne.ufla.br/site/index.php/CERNE/article/view/1766CERNE; Vol. 24 No. 1 (2018); 9-17CERNE; v. 24 n. 1 (2018); 9-172317-63420104-7760reponame:Cerne (Online)instname:Universidade Federal de Lavras (UFLA)instacron:UFLAenghttps://cerne.ufla.br/site/index.php/CERNE/article/view/1766/1057Copyright (c) 2018 CERNEinfo:eu-repo/semantics/openAccessFerraz Filho, Antônio CarlosMola-Yudego, BlasRibeiro, AndressaScolforo, José Roberto SoaresLoos, Rodolfo AraújoScolforo, Henrique Ferraço2018-07-24T14:22:58Zoai:cerne.ufla.br:article/1766Revistahttps://cerne.ufla.br/site/index.php/CERNEPUBhttps://cerne.ufla.br/site/index.php/CERNE/oaicerne@dcf.ufla.br||cerne@dcf.ufla.br2317-63420104-7760opendoar:2024-05-21T19:54:35.045997Cerne (Online) - Universidade Federal de Lavras (UFLA)true
dc.title.none.fl_str_mv HEIGHT-DIAMETER MODELS FOR Eucalyptus sp. PLANTATIONS IN BRAZIL
title HEIGHT-DIAMETER MODELS FOR Eucalyptus sp. PLANTATIONS IN BRAZIL
spellingShingle HEIGHT-DIAMETER MODELS FOR Eucalyptus sp. PLANTATIONS IN BRAZIL
Ferraz Filho, Antônio Carlos
forest inventory, mixed effect models, tree height prediction
title_short HEIGHT-DIAMETER MODELS FOR Eucalyptus sp. PLANTATIONS IN BRAZIL
title_full HEIGHT-DIAMETER MODELS FOR Eucalyptus sp. PLANTATIONS IN BRAZIL
title_fullStr HEIGHT-DIAMETER MODELS FOR Eucalyptus sp. PLANTATIONS IN BRAZIL
title_full_unstemmed HEIGHT-DIAMETER MODELS FOR Eucalyptus sp. PLANTATIONS IN BRAZIL
title_sort HEIGHT-DIAMETER MODELS FOR Eucalyptus sp. PLANTATIONS IN BRAZIL
author Ferraz Filho, Antônio Carlos
author_facet Ferraz Filho, Antônio Carlos
Mola-Yudego, Blas
Ribeiro, Andressa
Scolforo, José Roberto Soares
Loos, Rodolfo Araújo
Scolforo, Henrique Ferraço
author_role author
author2 Mola-Yudego, Blas
Ribeiro, Andressa
Scolforo, José Roberto Soares
Loos, Rodolfo Araújo
Scolforo, Henrique Ferraço
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Ferraz Filho, Antônio Carlos
Mola-Yudego, Blas
Ribeiro, Andressa
Scolforo, José Roberto Soares
Loos, Rodolfo Araújo
Scolforo, Henrique Ferraço
dc.subject.por.fl_str_mv forest inventory, mixed effect models, tree height prediction
topic forest inventory, mixed effect models, tree height prediction
description The use of height-diameter models have important applications in the management of eucalyptus plantations. The aim of this paper is to provide adequate height models based on the diameter and stand variables that could be easily used and applied to plantation’s management. The data was based on tests located in Espírito Santo and Bahia. A total of 312 plots, including 35 different treatments (different initial planting densities, number of thinning operations, thinnings, fertilization regimes, among others), and four different clones. This resulted in 2,407 conditions for 85,608 tree measurements. The constructed equations were based on mixed-effect models, in order to accommodate possible autocorrelations, to address variations between sites and to obtain locally calibrated estimates. Among the different model structures and combination of variables tested and presented, the best model showed a coefficient of determination of 0.953 and 0.988, for the fixed and fixed+random parts, respectively. The model included a random factor for measurements-within-tree and tree-within-plot. The bias of the fixed part was 0.208 cm (0.0659%). We believe the models in this study can have broad applications in management and inventory methods applied to plantations.
publishDate 2018
dc.date.none.fl_str_mv 2018-04-16
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/1766
url https://cerne.ufla.br/site/index.php/CERNE/article/view/1766
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/1766/1057
dc.rights.driver.fl_str_mv Copyright (c) 2018 CERNE
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2018 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. 24 No. 1 (2018); 9-17
CERNE; v. 24 n. 1 (2018); 9-17
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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