MODELING OF ASSORTMENT YIELDS IN EUCALYPTUS STANDS
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Outros Autores: | , , , , , |
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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Cerne (Online) |
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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 |
_version_ |
1799874942436638720 |