MODELING Tectona grandis TREE AND STAND GROWTH USING STEM ANALYSIS AND PERMANENT PLOT DATA1
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Revista Árvore (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-67622017000500203 |
Resumo: | ABSTRACT The purpose of this study was to evaluate the efficiency of using total and partial analysis data of the trunk of Tectona grandis trees and of permanent plots, for the construction of site index curves and growth and production modeling, at the level of individual trees and of the settlement. Data were collected in settlements located in the State of Mato Grosso, with ages ranging from 2 to 10 years at the time of tree logging for trunk analysis. At that time, 40 permanent plots were installed, that were measured in the five subsequent years. Trunk analysis data obtained from those plots were used for validation of a variable density model. This model estimated the production with accuracy and consistency. Then, data from permanent plots were added to those of trunk analysis and the model was readjusted. It can be concluded that the trunk analysis of Tectona grandis trees is an efficient alternative of data collection for growth and production studies. The possibility of grouping past data, obtained by trunk analysis, with permanent plots, for growth modeling purposes, was also confirmed. Finally, the efficiency of trunk analysis data for growth modeling at a level of individual trees was evaluated and confirmed. |
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MODELING Tectona grandis TREE AND STAND GROWTH USING STEM ANALYSIS AND PERMANENT PLOT DATA1Site indexValidationGrouping dataABSTRACT The purpose of this study was to evaluate the efficiency of using total and partial analysis data of the trunk of Tectona grandis trees and of permanent plots, for the construction of site index curves and growth and production modeling, at the level of individual trees and of the settlement. Data were collected in settlements located in the State of Mato Grosso, with ages ranging from 2 to 10 years at the time of tree logging for trunk analysis. At that time, 40 permanent plots were installed, that were measured in the five subsequent years. Trunk analysis data obtained from those plots were used for validation of a variable density model. This model estimated the production with accuracy and consistency. Then, data from permanent plots were added to those of trunk analysis and the model was readjusted. It can be concluded that the trunk analysis of Tectona grandis trees is an efficient alternative of data collection for growth and production studies. The possibility of grouping past data, obtained by trunk analysis, with permanent plots, for growth modeling purposes, was also confirmed. Finally, the efficiency of trunk analysis data for growth modeling at a level of individual trees was evaluated and confirmed.Sociedade de Investigações Florestais2017-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-67622017000500203Revista Árvore v.41 n.5 2017reponame:Revista Árvore (Online)instname:Universidade Federal de Viçosa (UFV)instacron:SIF10.1590/1806-90882017000500003info:eu-repo/semantics/openAccessNovaes,Daniel Menezes deSantos,Ana Carolina de AlbuquerqueSoares,Carlos Pedro BoechatPaiva,Haroldo Nogueira deReis,Geraldo Gonçalves dosMonte,Marco AntônioDavila,Flávio SiqueiraLeite,Helio Garciaeng2017-12-01T00:00:00Zoai:scielo:S0100-67622017000500203Revistahttp://www.scielo.br/revistas/rarv/iaboutj.htmPUBhttps://old.scielo.br/oai/scielo-oai.php||r.arvore@ufv.br1806-90880100-6762opendoar:2017-12-01T00:00Revista Árvore (Online) - Universidade Federal de Viçosa (UFV)false |
dc.title.none.fl_str_mv |
MODELING Tectona grandis TREE AND STAND GROWTH USING STEM ANALYSIS AND PERMANENT PLOT DATA1 |
title |
MODELING Tectona grandis TREE AND STAND GROWTH USING STEM ANALYSIS AND PERMANENT PLOT DATA1 |
spellingShingle |
MODELING Tectona grandis TREE AND STAND GROWTH USING STEM ANALYSIS AND PERMANENT PLOT DATA1 Novaes,Daniel Menezes de Site index Validation Grouping data |
title_short |
MODELING Tectona grandis TREE AND STAND GROWTH USING STEM ANALYSIS AND PERMANENT PLOT DATA1 |
title_full |
MODELING Tectona grandis TREE AND STAND GROWTH USING STEM ANALYSIS AND PERMANENT PLOT DATA1 |
title_fullStr |
MODELING Tectona grandis TREE AND STAND GROWTH USING STEM ANALYSIS AND PERMANENT PLOT DATA1 |
title_full_unstemmed |
MODELING Tectona grandis TREE AND STAND GROWTH USING STEM ANALYSIS AND PERMANENT PLOT DATA1 |
title_sort |
MODELING Tectona grandis TREE AND STAND GROWTH USING STEM ANALYSIS AND PERMANENT PLOT DATA1 |
author |
Novaes,Daniel Menezes de |
author_facet |
Novaes,Daniel Menezes de Santos,Ana Carolina de Albuquerque Soares,Carlos Pedro Boechat Paiva,Haroldo Nogueira de Reis,Geraldo Gonçalves dos Monte,Marco Antônio Davila,Flávio Siqueira Leite,Helio Garcia |
author_role |
author |
author2 |
Santos,Ana Carolina de Albuquerque Soares,Carlos Pedro Boechat Paiva,Haroldo Nogueira de Reis,Geraldo Gonçalves dos Monte,Marco Antônio Davila,Flávio Siqueira Leite,Helio Garcia |
author2_role |
author author author author author author author |
dc.contributor.author.fl_str_mv |
Novaes,Daniel Menezes de Santos,Ana Carolina de Albuquerque Soares,Carlos Pedro Boechat Paiva,Haroldo Nogueira de Reis,Geraldo Gonçalves dos Monte,Marco Antônio Davila,Flávio Siqueira Leite,Helio Garcia |
dc.subject.por.fl_str_mv |
Site index Validation Grouping data |
topic |
Site index Validation Grouping data |
description |
ABSTRACT The purpose of this study was to evaluate the efficiency of using total and partial analysis data of the trunk of Tectona grandis trees and of permanent plots, for the construction of site index curves and growth and production modeling, at the level of individual trees and of the settlement. Data were collected in settlements located in the State of Mato Grosso, with ages ranging from 2 to 10 years at the time of tree logging for trunk analysis. At that time, 40 permanent plots were installed, that were measured in the five subsequent years. Trunk analysis data obtained from those plots were used for validation of a variable density model. This model estimated the production with accuracy and consistency. Then, data from permanent plots were added to those of trunk analysis and the model was readjusted. It can be concluded that the trunk analysis of Tectona grandis trees is an efficient alternative of data collection for growth and production studies. The possibility of grouping past data, obtained by trunk analysis, with permanent plots, for growth modeling purposes, was also confirmed. Finally, the efficiency of trunk analysis data for growth modeling at a level of individual trees was evaluated and confirmed. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-01-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-67622017000500203 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-67622017000500203 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/1806-90882017000500003 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Sociedade de Investigações Florestais |
publisher.none.fl_str_mv |
Sociedade de Investigações Florestais |
dc.source.none.fl_str_mv |
Revista Árvore v.41 n.5 2017 reponame:Revista Árvore (Online) instname:Universidade Federal de Viçosa (UFV) instacron:SIF |
instname_str |
Universidade Federal de Viçosa (UFV) |
instacron_str |
SIF |
institution |
SIF |
reponame_str |
Revista Árvore (Online) |
collection |
Revista Árvore (Online) |
repository.name.fl_str_mv |
Revista Árvore (Online) - Universidade Federal de Viçosa (UFV) |
repository.mail.fl_str_mv |
||r.arvore@ufv.br |
_version_ |
1750318002589401088 |