MODELING OF ASSORTMENT YIELDS IN EUCALYPTUS STANDS

Detalhes bibliográficos
Autor(a) principal: Mendonça, Adriano Ribeiro de
Data de Publicação: 2016
Outros Autores: Calegario, Natalino, Silva, Gilson Fernandes da, Souza, Agostinho Lopes de, Trugilho, Paulo Fernando, Carvalho, Samuel Pádua Chaves e, Possato, Ernani Lopes
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Cerne (Online)
Texto Completo: https://cerne.ufla.br/site/index.php/CERNE/article/view/1025
Resumo: The aim of this study was to evaluate models to estimate the assortment yield of clonal Eucalyptus camaldulensis x Eucalyptus urophylla hybrid plantations with 3 x 3 m spacing in the Paraopeba city, Minas Gerais, Brazil. To estimate basal area and volume of the assortment yield data from permanent plots was used. To estimate the volume of assortments, we analyzed the logistic model with covariates and the Clutter model. The statistical standard error [Syx (%)], bias (V), average of the differences (MD), and standard deviation of the differences (DPD), as well as the graphical analysis of the residuals were used to select the most accurate model. According to the analysis, the Logistic model obtained the best results for estimation of the yield in wood volume for energy and pulpwood. The methodology to estimate assortment of forest plantations was considered easy to use and accurate.
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spelling MODELING OF ASSORTMENT YIELDS IN EUCALYPTUS STANDSProbability modelscovariatesmulti-products.The aim of this study was to evaluate models to estimate the assortment yield of clonal Eucalyptus camaldulensis x Eucalyptus urophylla hybrid plantations with 3 x 3 m spacing in the Paraopeba city, Minas Gerais, Brazil. To estimate basal area and volume of the assortment yield data from permanent plots was used. To estimate the volume of assortments, we analyzed the logistic model with covariates and the Clutter model. The statistical standard error [Syx (%)], bias (V), average of the differences (MD), and standard deviation of the differences (DPD), as well as the graphical analysis of the residuals were used to select the most accurate model. According to the analysis, the Logistic model obtained the best results for estimation of the yield in wood volume for energy and pulpwood. The methodology to estimate assortment of forest plantations was considered easy to use and accurate.CERNECERNE2016-04-07info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://cerne.ufla.br/site/index.php/CERNE/article/view/1025CERNE; Vol. 20 No. 4 (2014); 587-594CERNE; v. 20 n. 4 (2014); 587-5942317-63420104-7760reponame:Cerne (Online)instname:Universidade Federal de Lavras (UFLA)instacron:UFLAenghttps://cerne.ufla.br/site/index.php/CERNE/article/view/1025/796Copyright (c) 2016 CERNEinfo:eu-repo/semantics/openAccessMendonça, Adriano Ribeiro deCalegario, NatalinoSilva, Gilson Fernandes daSouza, Agostinho Lopes deTrugilho, Paulo FernandoCarvalho, Samuel Pádua Chaves ePossato, Ernani Lopes2016-04-20T10:16:00Zoai:cerne.ufla.br:article/1025Revistahttps://cerne.ufla.br/site/index.php/CERNEPUBhttps://cerne.ufla.br/site/index.php/CERNE/oaicerne@dcf.ufla.br||cerne@dcf.ufla.br2317-63420104-7760opendoar:2024-05-21T19:54:19.255867Cerne (Online) - Universidade Federal de Lavras (UFLA)true
dc.title.none.fl_str_mv MODELING OF ASSORTMENT YIELDS IN EUCALYPTUS STANDS
title MODELING OF ASSORTMENT YIELDS IN EUCALYPTUS STANDS
spellingShingle MODELING OF ASSORTMENT YIELDS IN EUCALYPTUS STANDS
Mendonça, Adriano Ribeiro de
Probability models
covariates
multi-products.
title_short MODELING OF ASSORTMENT YIELDS IN EUCALYPTUS STANDS
title_full MODELING OF ASSORTMENT YIELDS IN EUCALYPTUS STANDS
title_fullStr MODELING OF ASSORTMENT YIELDS IN EUCALYPTUS STANDS
title_full_unstemmed MODELING OF ASSORTMENT YIELDS IN EUCALYPTUS STANDS
title_sort MODELING OF ASSORTMENT YIELDS IN EUCALYPTUS STANDS
author Mendonça, Adriano Ribeiro de
author_facet Mendonça, Adriano Ribeiro de
Calegario, Natalino
Silva, Gilson Fernandes da
Souza, Agostinho Lopes de
Trugilho, Paulo Fernando
Carvalho, Samuel Pádua Chaves e
Possato, Ernani Lopes
author_role author
author2 Calegario, Natalino
Silva, Gilson Fernandes da
Souza, Agostinho Lopes de
Trugilho, Paulo Fernando
Carvalho, Samuel Pádua Chaves e
Possato, Ernani Lopes
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Mendonça, Adriano Ribeiro de
Calegario, Natalino
Silva, Gilson Fernandes da
Souza, Agostinho Lopes de
Trugilho, Paulo Fernando
Carvalho, Samuel Pádua Chaves e
Possato, Ernani Lopes
dc.subject.por.fl_str_mv Probability models
covariates
multi-products.
topic Probability models
covariates
multi-products.
description The aim of this study was to evaluate models to estimate the assortment yield of clonal Eucalyptus camaldulensis x Eucalyptus urophylla hybrid plantations with 3 x 3 m spacing in the Paraopeba city, Minas Gerais, Brazil. To estimate basal area and volume of the assortment yield data from permanent plots was used. To estimate the volume of assortments, we analyzed the logistic model with covariates and the Clutter model. The statistical standard error [Syx (%)], bias (V), average of the differences (MD), and standard deviation of the differences (DPD), as well as the graphical analysis of the residuals were used to select the most accurate model. According to the analysis, the Logistic model obtained the best results for estimation of the yield in wood volume for energy and pulpwood. The methodology to estimate assortment of forest plantations was considered easy to use and accurate.
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/1025
url https://cerne.ufla.br/site/index.php/CERNE/article/view/1025
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/1025/796
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. 20 No. 4 (2014); 587-594
CERNE; v. 20 n. 4 (2014); 587-594
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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