HYPSOMETRIC EQUATIONS FOR Toona ciliata WITH INCLUSION OF COVARIATES
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Ciência Florestal (Online) |
Texto Completo: | https://periodicos.ufsm.br/cienciaflorestal/article/view/27738 |
Resumo: | The height-diameter relationship is influenced by many variables, making difficult its modeling. The inclusion of covariates by the decomposition of model parameters can improve the model precision and help develop generic height-diameter models. This study aimed to evaluate hypsometric equations and examine the inclusion of covariates for Toona ciliata, species still poorly studied. Four nonlinear equations were evaluated to represent the height as a function of age. The effect of the progeny was included in one of the equations, decomposing the parameters. Five equations, which four are nonlinear ones, were tested to represent the variation of height as a function of the diameter. The parameters of the logistic equation were decomposed and associated to the variable progenies, age, dominant and codominant height. The Asymptotic equation was the most precise to represent the height growth. The inclusion of the variable progeny in the Logistic equation improved its precision. From the set of equations tested for the height-diameter relationship, the Exponential equation was the least precise. The inclusion of covariates in the logistic equation improved its precision and among all tested covariates, the dominant and codominant height variable presented the highest gain in precision (23%). |
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HYPSOMETRIC EQUATIONS FOR Toona ciliata WITH INCLUSION OF COVARIATESEQUAÇÕES HIPSOMÉTRICAS PARA Toona ciliata COM INCLUSÃO DE COVARIANTESToona ciliataheight-age relationshipheight-diameter relationshipcovariates.cedro-australianorelação altura-idaderelação altura-diâmetrocovariáveis.The height-diameter relationship is influenced by many variables, making difficult its modeling. The inclusion of covariates by the decomposition of model parameters can improve the model precision and help develop generic height-diameter models. This study aimed to evaluate hypsometric equations and examine the inclusion of covariates for Toona ciliata, species still poorly studied. Four nonlinear equations were evaluated to represent the height as a function of age. The effect of the progeny was included in one of the equations, decomposing the parameters. Five equations, which four are nonlinear ones, were tested to represent the variation of height as a function of the diameter. The parameters of the logistic equation were decomposed and associated to the variable progenies, age, dominant and codominant height. The Asymptotic equation was the most precise to represent the height growth. The inclusion of the variable progeny in the Logistic equation improved its precision. From the set of equations tested for the height-diameter relationship, the Exponential equation was the least precise. The inclusion of covariates in the logistic equation improved its precision and among all tested covariates, the dominant and codominant height variable presented the highest gain in precision (23%).A relação hipsométrica é influenciada por muitas variáveis e isso dificulta a sua modelagem. A adição de covariantes em uma equação, por meio da decomposição de seus parâmetros, pode melhorar a precisão da mesma e auxiliar na construção de modelos hipsométricos genéricos. Neste estudo objetivou-se avaliar equações hipsométricas e testar a inclusão de covariantes para Toona ciliata, espécie ainda pouco estudada. Foram avaliados quatro modelos não lineares para representar a altura em função da idade. O efeito da progênie foi incluído em uma das equações por meio da decomposição dos parâmetros. Para representar a variação da altura em função do diâmetro foram testadas cinco equações, sendo que quatro delas não lineares. Os parâmetros de uma das equações foram decompostos e associados às variáveis: progênie, idade e altura dominante e codominante. A equação Assintótica foi mais precisa para representar o crescimento em altura. A inclusão da variável progênie na equação Logística aumentou sua precisão. Dentre as equações avaliadas para a relação altura-diâmetro, a Exponencial foi a de menor precisão. A inclusão de covariantes na equação Logística melhorou a precisão do ajuste e dentre as covariantes testadas a altura dominante e codominante permitiu um ganho de precisão de 23%.Universidade Federal de Santa Maria2017-06-29info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.ufsm.br/cienciaflorestal/article/view/2773810.5902/1980509827738Ciência Florestal; Vol. 27 No. 2 (2017); 581-595Ciência Florestal; v. 27 n. 2 (2017); 581-5951980-50980103-9954reponame:Ciência Florestal (Online)instname:Universidade Federal de Santa Maria (UFSM)instacron:UFSMporhttps://periodicos.ufsm.br/cienciaflorestal/article/view/27738/15745Copyright (c) 2017 Ciência Florestalinfo:eu-repo/semantics/openAccessAlves, Joyce de AlmeidaCalegario, NatalinoRosado, Sebastião Carlos da SilvaSilva, Geisi AzevedoPossato, Ernani LopesMelo, Elliezer de Almeida2017-07-08T02:12:01Zoai:ojs.pkp.sfu.ca:article/27738Revistahttp://www.ufsm.br/cienciaflorestal/ONGhttps://old.scielo.br/oai/scielo-oai.php||cienciaflorestal@ufsm.br|| cienciaflorestal@gmail.com|| cf@smail.ufsm.br1980-50980103-9954opendoar:2017-07-08T02:12:01Ciência Florestal (Online) - Universidade Federal de Santa Maria (UFSM)false |
dc.title.none.fl_str_mv |
HYPSOMETRIC EQUATIONS FOR Toona ciliata WITH INCLUSION OF COVARIATES EQUAÇÕES HIPSOMÉTRICAS PARA Toona ciliata COM INCLUSÃO DE COVARIANTES |
title |
HYPSOMETRIC EQUATIONS FOR Toona ciliata WITH INCLUSION OF COVARIATES |
spellingShingle |
HYPSOMETRIC EQUATIONS FOR Toona ciliata WITH INCLUSION OF COVARIATES Alves, Joyce de Almeida Toona ciliata height-age relationship height-diameter relationship covariates. cedro-australiano relação altura-idade relação altura-diâmetro covariáveis. |
title_short |
HYPSOMETRIC EQUATIONS FOR Toona ciliata WITH INCLUSION OF COVARIATES |
title_full |
HYPSOMETRIC EQUATIONS FOR Toona ciliata WITH INCLUSION OF COVARIATES |
title_fullStr |
HYPSOMETRIC EQUATIONS FOR Toona ciliata WITH INCLUSION OF COVARIATES |
title_full_unstemmed |
HYPSOMETRIC EQUATIONS FOR Toona ciliata WITH INCLUSION OF COVARIATES |
title_sort |
HYPSOMETRIC EQUATIONS FOR Toona ciliata WITH INCLUSION OF COVARIATES |
author |
Alves, Joyce de Almeida |
author_facet |
Alves, Joyce de Almeida Calegario, Natalino Rosado, Sebastião Carlos da Silva Silva, Geisi Azevedo Possato, Ernani Lopes Melo, Elliezer de Almeida |
author_role |
author |
author2 |
Calegario, Natalino Rosado, Sebastião Carlos da Silva Silva, Geisi Azevedo Possato, Ernani Lopes Melo, Elliezer de Almeida |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Alves, Joyce de Almeida Calegario, Natalino Rosado, Sebastião Carlos da Silva Silva, Geisi Azevedo Possato, Ernani Lopes Melo, Elliezer de Almeida |
dc.subject.por.fl_str_mv |
Toona ciliata height-age relationship height-diameter relationship covariates. cedro-australiano relação altura-idade relação altura-diâmetro covariáveis. |
topic |
Toona ciliata height-age relationship height-diameter relationship covariates. cedro-australiano relação altura-idade relação altura-diâmetro covariáveis. |
description |
The height-diameter relationship is influenced by many variables, making difficult its modeling. The inclusion of covariates by the decomposition of model parameters can improve the model precision and help develop generic height-diameter models. This study aimed to evaluate hypsometric equations and examine the inclusion of covariates for Toona ciliata, species still poorly studied. Four nonlinear equations were evaluated to represent the height as a function of age. The effect of the progeny was included in one of the equations, decomposing the parameters. Five equations, which four are nonlinear ones, were tested to represent the variation of height as a function of the diameter. The parameters of the logistic equation were decomposed and associated to the variable progenies, age, dominant and codominant height. The Asymptotic equation was the most precise to represent the height growth. The inclusion of the variable progeny in the Logistic equation improved its precision. From the set of equations tested for the height-diameter relationship, the Exponential equation was the least precise. The inclusion of covariates in the logistic equation improved its precision and among all tested covariates, the dominant and codominant height variable presented the highest gain in precision (23%). |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-06-29 |
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://periodicos.ufsm.br/cienciaflorestal/article/view/27738 10.5902/1980509827738 |
url |
https://periodicos.ufsm.br/cienciaflorestal/article/view/27738 |
identifier_str_mv |
10.5902/1980509827738 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://periodicos.ufsm.br/cienciaflorestal/article/view/27738/15745 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2017 Ciência Florestal info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2017 Ciência Florestal |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Federal de Santa Maria |
publisher.none.fl_str_mv |
Universidade Federal de Santa Maria |
dc.source.none.fl_str_mv |
Ciência Florestal; Vol. 27 No. 2 (2017); 581-595 Ciência Florestal; v. 27 n. 2 (2017); 581-595 1980-5098 0103-9954 reponame:Ciência Florestal (Online) instname:Universidade Federal de Santa Maria (UFSM) instacron:UFSM |
instname_str |
Universidade Federal de Santa Maria (UFSM) |
instacron_str |
UFSM |
institution |
UFSM |
reponame_str |
Ciência Florestal (Online) |
collection |
Ciência Florestal (Online) |
repository.name.fl_str_mv |
Ciência Florestal (Online) - Universidade Federal de Santa Maria (UFSM) |
repository.mail.fl_str_mv |
||cienciaflorestal@ufsm.br|| cienciaflorestal@gmail.com|| cf@smail.ufsm.br |
_version_ |
1799944131974266880 |