SECTIONAL ANALYSIS FOR VOLUME DETERMINATION AND SELECTION OF VOLUME EQUATIONS FOR THE TAPAJOS NACIONAL FOREST

Detalhes bibliográficos
Autor(a) principal: Ribeiro, Renato Bezerra da Silva
Data de Publicação: 2016
Outros Autores: Gama, João Ricardo Vasconcellos, Melo, Lia de Oliveira
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Cerne (Online)
Texto Completo: https://cerne.ufla.br/site/index.php/CERNE/article/view/1027
Resumo: The aim of this study was to analyze different sections lengths for volume determination, fitting of volumetric models for timber production estimation in an area of forest management in the Tapajós National Forest (FNT). Six treatments for sectioning were tested in 152 logs of 12 commercial species. The obtained volumes were statistically compared by analysis of variance (ANOVA) for the choice of the best method of sectioning and calculating the actual volume of 2,094 sample trees in different diameter commercial classes. Ten mathematical models were fitted to the whole data and to the species Manilkara huberi (Ducke) Chevalier (maçaranduba) Lecythis lurida (Miers) Samori (jarana) and Hymenaea courbaril L. (Jatobá). The criteria to choose the best model were adjusted coefficient of determination in percentage (R²adj%), standard error of estimate in percentage (Syx%), significance of the parameters, normality of residuals, Variance Inflation Factor (VIF) and residuals graphic distribution. There was no statistical difference between the methods of sectioning and thus the total length of the logs was more operational in the field. The models in logarithmic form of Schumacher and Hall and Spurr were the best to estimate the volume for the species and for the whole sample set.
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spelling SECTIONAL ANALYSIS FOR VOLUME DETERMINATION AND SELECTION OF VOLUME EQUATIONS FOR THE TAPAJOS NACIONAL FORESTDendrometryregression analysisamazon forest.The aim of this study was to analyze different sections lengths for volume determination, fitting of volumetric models for timber production estimation in an area of forest management in the Tapajós National Forest (FNT). Six treatments for sectioning were tested in 152 logs of 12 commercial species. The obtained volumes were statistically compared by analysis of variance (ANOVA) for the choice of the best method of sectioning and calculating the actual volume of 2,094 sample trees in different diameter commercial classes. Ten mathematical models were fitted to the whole data and to the species Manilkara huberi (Ducke) Chevalier (maçaranduba) Lecythis lurida (Miers) Samori (jarana) and Hymenaea courbaril L. (Jatobá). The criteria to choose the best model were adjusted coefficient of determination in percentage (R²adj%), standard error of estimate in percentage (Syx%), significance of the parameters, normality of residuals, Variance Inflation Factor (VIF) and residuals graphic distribution. There was no statistical difference between the methods of sectioning and thus the total length of the logs was more operational in the field. The models in logarithmic form of Schumacher and Hall and Spurr were the best to estimate the volume for the species and for the whole sample set.CERNECERNE2016-04-07info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://cerne.ufla.br/site/index.php/CERNE/article/view/1027CERNE; Vol. 20 No. 4 (2014); 605-612CERNE; v. 20 n. 4 (2014); 605-6122317-63420104-7760reponame:Cerne (Online)instname:Universidade Federal de Lavras (UFLA)instacron:UFLAenghttps://cerne.ufla.br/site/index.php/CERNE/article/view/1027/798Copyright (c) 2016 CERNEinfo:eu-repo/semantics/openAccessRibeiro, Renato Bezerra da SilvaGama, João Ricardo VasconcellosMelo, Lia de Oliveira2016-04-20T10:16:00Zoai:cerne.ufla.br:article/1027Revistahttps://cerne.ufla.br/site/index.php/CERNEPUBhttps://cerne.ufla.br/site/index.php/CERNE/oaicerne@dcf.ufla.br||cerne@dcf.ufla.br2317-63420104-7760opendoar:2024-05-21T19:54:19.424553Cerne (Online) - Universidade Federal de Lavras (UFLA)true
dc.title.none.fl_str_mv SECTIONAL ANALYSIS FOR VOLUME DETERMINATION AND SELECTION OF VOLUME EQUATIONS FOR THE TAPAJOS NACIONAL FOREST
title SECTIONAL ANALYSIS FOR VOLUME DETERMINATION AND SELECTION OF VOLUME EQUATIONS FOR THE TAPAJOS NACIONAL FOREST
spellingShingle SECTIONAL ANALYSIS FOR VOLUME DETERMINATION AND SELECTION OF VOLUME EQUATIONS FOR THE TAPAJOS NACIONAL FOREST
Ribeiro, Renato Bezerra da Silva
Dendrometry
regression analysis
amazon forest.
title_short SECTIONAL ANALYSIS FOR VOLUME DETERMINATION AND SELECTION OF VOLUME EQUATIONS FOR THE TAPAJOS NACIONAL FOREST
title_full SECTIONAL ANALYSIS FOR VOLUME DETERMINATION AND SELECTION OF VOLUME EQUATIONS FOR THE TAPAJOS NACIONAL FOREST
title_fullStr SECTIONAL ANALYSIS FOR VOLUME DETERMINATION AND SELECTION OF VOLUME EQUATIONS FOR THE TAPAJOS NACIONAL FOREST
title_full_unstemmed SECTIONAL ANALYSIS FOR VOLUME DETERMINATION AND SELECTION OF VOLUME EQUATIONS FOR THE TAPAJOS NACIONAL FOREST
title_sort SECTIONAL ANALYSIS FOR VOLUME DETERMINATION AND SELECTION OF VOLUME EQUATIONS FOR THE TAPAJOS NACIONAL FOREST
author Ribeiro, Renato Bezerra da Silva
author_facet Ribeiro, Renato Bezerra da Silva
Gama, João Ricardo Vasconcellos
Melo, Lia de Oliveira
author_role author
author2 Gama, João Ricardo Vasconcellos
Melo, Lia de Oliveira
author2_role author
author
dc.contributor.author.fl_str_mv Ribeiro, Renato Bezerra da Silva
Gama, João Ricardo Vasconcellos
Melo, Lia de Oliveira
dc.subject.por.fl_str_mv Dendrometry
regression analysis
amazon forest.
topic Dendrometry
regression analysis
amazon forest.
description The aim of this study was to analyze different sections lengths for volume determination, fitting of volumetric models for timber production estimation in an area of forest management in the Tapajós National Forest (FNT). Six treatments for sectioning were tested in 152 logs of 12 commercial species. The obtained volumes were statistically compared by analysis of variance (ANOVA) for the choice of the best method of sectioning and calculating the actual volume of 2,094 sample trees in different diameter commercial classes. Ten mathematical models were fitted to the whole data and to the species Manilkara huberi (Ducke) Chevalier (maçaranduba) Lecythis lurida (Miers) Samori (jarana) and Hymenaea courbaril L. (Jatobá). The criteria to choose the best model were adjusted coefficient of determination in percentage (R²adj%), standard error of estimate in percentage (Syx%), significance of the parameters, normality of residuals, Variance Inflation Factor (VIF) and residuals graphic distribution. There was no statistical difference between the methods of sectioning and thus the total length of the logs was more operational in the field. The models in logarithmic form of Schumacher and Hall and Spurr were the best to estimate the volume for the species and for the whole sample set.
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/1027
url https://cerne.ufla.br/site/index.php/CERNE/article/view/1027
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/1027/798
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); 605-612
CERNE; v. 20 n. 4 (2014); 605-612
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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