Hypsometric models for a clonal plantation of Tectona grandis Linn F. subjected to selective thinning
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , , , |
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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Agro@mbiente on-line |
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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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1799770041475923968 |