SECTIONAL ANALYSIS FOR VOLUME DETERMINATION AND SELECTION OF VOLUME EQUATIONS FOR THE TAPAJOS NACIONAL FOREST
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/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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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 |
_version_ |
1799874942440833024 |