Hypsometric models for a clonal plantation of Tectona grandis Linn F. subjected to selective thinning

Detalhes bibliográficos
Autor(a) principal: dos Santos, Mario Lima
Data de Publicação: 2019
Outros Autores: Rodrigues, Richard Pinheiro, Roque Lima, Michael Douglas, Rocha Martins, Walmer Bruno, Costa, Beatriz Cordeiro, Suzuki, Patricia Mie
Tipo de documento: Artigo
Idioma: por
Título da fonte: Agro@mbiente on-line
Texto Completo: https://revista.ufrr.br/agroambiente/article/view/5292
Resumo: At a moment when the importance of planted forests in the Amazon region is increasing, hypsometric models become highly relevant tools as they allow monitoring of and planning for tree plantations in a way that is practical and economic for the producer. Thus, the objective of the current study was to select and adjust a model of hypsometric relationships for a clonal plantation of Tectona grandis Linn F., submitted to selective thinning, located in Capitão Poço municipality, Pará state, Brazil. Data were collected from permanent plots in five-year-old stands using the fixed area method and systematic process. The best adjusted model was selected with an adjusted determination coefficient (R²aj.%), residual standard deviation of the percentage estimate (Syx%), recalculated residual standard error (Syxr%), diagnosis of distribution of residuals as a percentage and the Percent Average Deviation (PAD%). Hyperbolic models 2 and 3 had the highest determination coefficients (83.42 and 83.40%) and lowest PAD (-0.006 and -0.154%). The polynomial (1) and hyperbolic models (2 and 3) showed the smallest errors in related to the estimates. Model 2 (hyperbolic) was found to generate the best estimate of total T. grandis clonal plantation height. Use of this hypsometric model will allow a significant reduction of costs and time in forest inventory studies.
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spelling Hypsometric models for a clonal plantation of Tectona grandis Linn F. subjected to selective thinningHeight estimation model. Planted forest. Forest inventory. Teak.At a moment when the importance of planted forests in the Amazon region is increasing, hypsometric models become highly relevant tools as they allow monitoring of and planning for tree plantations in a way that is practical and economic for the producer. Thus, the objective of the current study was to select and adjust a model of hypsometric relationships for a clonal plantation of Tectona grandis Linn F., submitted to selective thinning, located in Capitão Poço municipality, Pará state, Brazil. Data were collected from permanent plots in five-year-old stands using the fixed area method and systematic process. The best adjusted model was selected with an adjusted determination coefficient (R²aj.%), residual standard deviation of the percentage estimate (Syx%), recalculated residual standard error (Syxr%), diagnosis of distribution of residuals as a percentage and the Percent Average Deviation (PAD%). Hyperbolic models 2 and 3 had the highest determination coefficients (83.42 and 83.40%) and lowest PAD (-0.006 and -0.154%). The polynomial (1) and hyperbolic models (2 and 3) showed the smallest errors in related to the estimates. Model 2 (hyperbolic) was found to generate the best estimate of total T. grandis clonal plantation height. Use of this hypsometric model will allow a significant reduction of costs and time in forest inventory studies.UFRR2019-05-15info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revista.ufrr.br/agroambiente/article/view/529210.18227/1982-8470ragro.v13i0.5292AGRO@MBIENTE ON-LINE JOURNALRAGR; Vol. 13 (2019): Edição Continuada; 35-45REVISTA AGRO@MBIENTE ON-LINE; Vol. 13 (2019): Edição Continuada; 35-45REVISTA AGRO@MBIENTE ON-LINE; v. 13 (2019): Edição Continuada; 35-451982-8470reponame:Agro@mbiente on-lineinstname:Universidade Federal de Roraima (UFRR)instacron:UFRRporhttps://revista.ufrr.br/agroambiente/article/view/5292/2624Copyright (c) 2019 REVISTA AGRO@MBIENTE ON-LINEinfo:eu-repo/semantics/openAccessdos Santos, Mario LimaRodrigues, Richard PinheiroRoque Lima, Michael DouglasRocha Martins, Walmer BrunoCosta, Beatriz CordeiroSuzuki, Patricia Mie2019-12-06T15:37:15Zoai:oai.revista.ufrr.br:article/5292Revistahttps://revista.ufrr.br/index.php/agroambientePUBhttps://revista.ufrr.br/index.php/agroambiente/oai||scpuchoa@dsi.ufrr.br|| arcanjoalves@oi.com.br1982-84701982-8470opendoar:2019-12-06T15:37:15Agro@mbiente on-line - Universidade Federal de Roraima (UFRR)false
dc.title.none.fl_str_mv Hypsometric models for a clonal plantation of Tectona grandis Linn F. subjected to selective thinning
title Hypsometric models for a clonal plantation of Tectona grandis Linn F. subjected to selective thinning
spellingShingle Hypsometric models for a clonal plantation of Tectona grandis Linn F. subjected to selective thinning
dos Santos, Mario Lima
Height estimation model. Planted forest. Forest inventory. Teak.
title_short Hypsometric models for a clonal plantation of Tectona grandis Linn F. subjected to selective thinning
title_full Hypsometric models for a clonal plantation of Tectona grandis Linn F. subjected to selective thinning
title_fullStr Hypsometric models for a clonal plantation of Tectona grandis Linn F. subjected to selective thinning
title_full_unstemmed Hypsometric models for a clonal plantation of Tectona grandis Linn F. subjected to selective thinning
title_sort Hypsometric models for a clonal plantation of Tectona grandis Linn F. subjected to selective thinning
author dos Santos, Mario Lima
author_facet dos Santos, Mario Lima
Rodrigues, Richard Pinheiro
Roque Lima, Michael Douglas
Rocha Martins, Walmer Bruno
Costa, Beatriz Cordeiro
Suzuki, Patricia Mie
author_role author
author2 Rodrigues, Richard Pinheiro
Roque Lima, Michael Douglas
Rocha Martins, Walmer Bruno
Costa, Beatriz Cordeiro
Suzuki, Patricia Mie
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv dos Santos, Mario Lima
Rodrigues, Richard Pinheiro
Roque Lima, Michael Douglas
Rocha Martins, Walmer Bruno
Costa, Beatriz Cordeiro
Suzuki, Patricia Mie
dc.subject.por.fl_str_mv Height estimation model. Planted forest. Forest inventory. Teak.
topic Height estimation model. Planted forest. Forest inventory. Teak.
description At a moment when the importance of planted forests in the Amazon region is increasing, hypsometric models become highly relevant tools as they allow monitoring of and planning for tree plantations in a way that is practical and economic for the producer. Thus, the objective of the current study was to select and adjust a model of hypsometric relationships for a clonal plantation of Tectona grandis Linn F., submitted to selective thinning, located in Capitão Poço municipality, Pará state, Brazil. Data were collected from permanent plots in five-year-old stands using the fixed area method and systematic process. The best adjusted model was selected with an adjusted determination coefficient (R²aj.%), residual standard deviation of the percentage estimate (Syx%), recalculated residual standard error (Syxr%), diagnosis of distribution of residuals as a percentage and the Percent Average Deviation (PAD%). Hyperbolic models 2 and 3 had the highest determination coefficients (83.42 and 83.40%) and lowest PAD (-0.006 and -0.154%). The polynomial (1) and hyperbolic models (2 and 3) showed the smallest errors in related to the estimates. Model 2 (hyperbolic) was found to generate the best estimate of total T. grandis clonal plantation height. Use of this hypsometric model will allow a significant reduction of costs and time in forest inventory studies.
publishDate 2019
dc.date.none.fl_str_mv 2019-05-15
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://revista.ufrr.br/agroambiente/article/view/5292
10.18227/1982-8470ragro.v13i0.5292
url https://revista.ufrr.br/agroambiente/article/view/5292
identifier_str_mv 10.18227/1982-8470ragro.v13i0.5292
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://revista.ufrr.br/agroambiente/article/view/5292/2624
dc.rights.driver.fl_str_mv Copyright (c) 2019 REVISTA AGRO@MBIENTE ON-LINE
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2019 REVISTA AGRO@MBIENTE ON-LINE
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv UFRR
publisher.none.fl_str_mv UFRR
dc.source.none.fl_str_mv AGRO@MBIENTE ON-LINE JOURNALRAGR; Vol. 13 (2019): Edição Continuada; 35-45
REVISTA AGRO@MBIENTE ON-LINE; Vol. 13 (2019): Edição Continuada; 35-45
REVISTA AGRO@MBIENTE ON-LINE; v. 13 (2019): Edição Continuada; 35-45
1982-8470
reponame:Agro@mbiente on-line
instname:Universidade Federal de Roraima (UFRR)
instacron:UFRR
instname_str Universidade Federal de Roraima (UFRR)
instacron_str UFRR
institution UFRR
reponame_str Agro@mbiente on-line
collection Agro@mbiente on-line
repository.name.fl_str_mv Agro@mbiente on-line - Universidade Federal de Roraima (UFRR)
repository.mail.fl_str_mv ||scpuchoa@dsi.ufrr.br|| arcanjoalves@oi.com.br
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