Data grouping to fit height-diameter and volume models of Pinus oocarpa and Pinus caribaea var. hondurensis

Detalhes bibliográficos
Autor(a) principal: Carielo, Plínio
Data de Publicação: 2022
Outros Autores: Arce, Julio Eduardo, Figueiredo Filho, Afonso, Libanio Pelissari, Allan, Kohler, Sintia Valerio, Retslaff, Fabiane Aparecida de Souza, Behling, Alexandre
Tipo de documento: Artigo
Idioma: por
Título da fonte: Ciência Florestal (Online)
Texto Completo: https://periodicos.ufsm.br/cienciaflorestal/article/view/35017
Resumo: It was compared data grouping strategies by different models of identity test to fit height-diameter and volume models in order optimize them. The area under study has 248,22 ha with Pinus oocarpa and Pinus caribaea var. hondurensis stands, divided in plots among 10 and 16 years-old. This area was inventoried by fixed area sampling with 7 rectangular plots of 600 m² distributed in a systematic in each stand. Different strategies for data grouping were compared, checking if only one equation (general model) could represent different sources of variation such as plots, species, and ages, instead of one equation to each source of variation (complete model). The selected models used in different grouping strategies were evaluated based on standard error of estimate (Syx%), adjusted coefficients of determination (R² aj.) and graphical residues analysis. The fittied equations to each strategy were submitted to model identity test. It was found that related to plots should not be used a single height-diameter equation (general model) to represent all the plots in an inventory even if it is of the same species and/or age. In relation to volume it was observed for the species Pinus oocarpa and Pinus caribaea var. hondurensis that a single equation can be used to estimate the total volume of two species since at the same age, while for different ages it is recommended the fitting for stand level.
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spelling Data grouping to fit height-diameter and volume models of Pinus oocarpa and Pinus caribaea var. hondurensisAgrupamento de dados para ajustes de modelos hipsométricos e volumétricos em povoamentos de Pinus oocarpa e Pinus caribaea var. hondurensisEstimativas de alturasestimativas de volumeidentidade de modelosmodelos de regressãoHeight estimatesVolume estimatesModel identityRegression modelsIt was compared data grouping strategies by different models of identity test to fit height-diameter and volume models in order optimize them. The area under study has 248,22 ha with Pinus oocarpa and Pinus caribaea var. hondurensis stands, divided in plots among 10 and 16 years-old. This area was inventoried by fixed area sampling with 7 rectangular plots of 600 m² distributed in a systematic in each stand. Different strategies for data grouping were compared, checking if only one equation (general model) could represent different sources of variation such as plots, species, and ages, instead of one equation to each source of variation (complete model). The selected models used in different grouping strategies were evaluated based on standard error of estimate (Syx%), adjusted coefficients of determination (R² aj.) and graphical residues analysis. The fittied equations to each strategy were submitted to model identity test. It was found that related to plots should not be used a single height-diameter equation (general model) to represent all the plots in an inventory even if it is of the same species and/or age. In relation to volume it was observed for the species Pinus oocarpa and Pinus caribaea var. hondurensis that a single equation can be used to estimate the total volume of two species since at the same age, while for different ages it is recommended the fitting for stand level.Comparou-se por meio do teste de identidade de modelos estratégias de agrupamento de dados para o ajuste de modelos hipsométricos e volumétricos com o intuito de otimizá-los. A área de estudo tem 248,22 ha com plantio de Pinus oocarpa e Pinus caribaea var. hondurensis, divididos em talhões com idades entre 10 e 16 anos. A área foi inventariada por amostragem utilizando o método de área fixa com 7 parcelas retangulares de 600 m² distribuídas de forma sistemática em cada povoamento. Diferentes estratégias de agrupamento de dados foram comparadas, a fim de verificar se uma única equação (modelo reduzido) poderia representar diferentes fontes de variação, como parcelas, espécies e idades, em vez de uma equação para cada fonte de variação (modelo completo). Os modelos selecionados para aplicação nas diferentes estratégias de agrupamentos foram avaliados com base no erro padrão da estimativa (Syx%), coeficiente de determinação ajustado (R² aj.) e análise gráfica dos resíduos. As equações ajustadas para cada estratégia foram submetidas ao teste de identidade de modelos. Constatou-se que em nível de parcela não deve ser utilizada uma equação hipsométrica única (modelo reduzido) para representar todas as parcelas de um inventário, mesmo considerando a espécie e/ou idade. Em relação à variável volume, foi observado, para as espécies Pinus oocarpa e Pinus caribaea var. hondurensis, que uma única equação pode ser utilizada para estimar o volume total das duas espécies desde que estejam com a mesma idade, enquanto para idades diferentes recomenda-se o ajuste em nível de povoamento.Universidade Federal de Santa Maria2022-09-22info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdftext/xmlhttps://periodicos.ufsm.br/cienciaflorestal/article/view/3501710.5902/1980509835017Ciência Florestal; Vol. 32 No. 3 (2022); 1165-1186Ciência Florestal; v. 32 n. 3 (2022); 1165-11861980-50980103-9954reponame:Ciência Florestal (Online)instname:Universidade Federal de Santa Maria (UFSM)instacron:UFSMporhttps://periodicos.ufsm.br/cienciaflorestal/article/view/35017/48977https://periodicos.ufsm.br/cienciaflorestal/article/view/35017/50938Copyright (c) 2022 Ciência Florestalhttp://creativecommons.org/licenses/by-nc/4.0info:eu-repo/semantics/openAccessCarielo, PlínioArce, Julio EduardoFigueiredo Filho, AfonsoLibanio Pelissari, AllanKohler, Sintia Valerio Retslaff, Fabiane Aparecida de SouzaBehling, Alexandre2022-12-29T17:15:17Zoai:ojs.pkp.sfu.ca:article/35017Revistahttp://www.ufsm.br/cienciaflorestal/ONGhttps://old.scielo.br/oai/scielo-oai.php||cienciaflorestal@ufsm.br|| cienciaflorestal@gmail.com|| cf@smail.ufsm.br1980-50980103-9954opendoar:2022-12-29T17:15:17Ciência Florestal (Online) - Universidade Federal de Santa Maria (UFSM)false
dc.title.none.fl_str_mv Data grouping to fit height-diameter and volume models of Pinus oocarpa and Pinus caribaea var. hondurensis
Agrupamento de dados para ajustes de modelos hipsométricos e volumétricos em povoamentos de Pinus oocarpa e Pinus caribaea var. hondurensis
title Data grouping to fit height-diameter and volume models of Pinus oocarpa and Pinus caribaea var. hondurensis
spellingShingle Data grouping to fit height-diameter and volume models of Pinus oocarpa and Pinus caribaea var. hondurensis
Carielo, Plínio
Estimativas de alturas
estimativas de volume
identidade de modelos
modelos de regressão
Height estimates
Volume estimates
Model identity
Regression models
title_short Data grouping to fit height-diameter and volume models of Pinus oocarpa and Pinus caribaea var. hondurensis
title_full Data grouping to fit height-diameter and volume models of Pinus oocarpa and Pinus caribaea var. hondurensis
title_fullStr Data grouping to fit height-diameter and volume models of Pinus oocarpa and Pinus caribaea var. hondurensis
title_full_unstemmed Data grouping to fit height-diameter and volume models of Pinus oocarpa and Pinus caribaea var. hondurensis
title_sort Data grouping to fit height-diameter and volume models of Pinus oocarpa and Pinus caribaea var. hondurensis
author Carielo, Plínio
author_facet Carielo, Plínio
Arce, Julio Eduardo
Figueiredo Filho, Afonso
Libanio Pelissari, Allan
Kohler, Sintia Valerio
Retslaff, Fabiane Aparecida de Souza
Behling, Alexandre
author_role author
author2 Arce, Julio Eduardo
Figueiredo Filho, Afonso
Libanio Pelissari, Allan
Kohler, Sintia Valerio
Retslaff, Fabiane Aparecida de Souza
Behling, Alexandre
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Carielo, Plínio
Arce, Julio Eduardo
Figueiredo Filho, Afonso
Libanio Pelissari, Allan
Kohler, Sintia Valerio
Retslaff, Fabiane Aparecida de Souza
Behling, Alexandre
dc.subject.por.fl_str_mv Estimativas de alturas
estimativas de volume
identidade de modelos
modelos de regressão
Height estimates
Volume estimates
Model identity
Regression models
topic Estimativas de alturas
estimativas de volume
identidade de modelos
modelos de regressão
Height estimates
Volume estimates
Model identity
Regression models
description It was compared data grouping strategies by different models of identity test to fit height-diameter and volume models in order optimize them. The area under study has 248,22 ha with Pinus oocarpa and Pinus caribaea var. hondurensis stands, divided in plots among 10 and 16 years-old. This area was inventoried by fixed area sampling with 7 rectangular plots of 600 m² distributed in a systematic in each stand. Different strategies for data grouping were compared, checking if only one equation (general model) could represent different sources of variation such as plots, species, and ages, instead of one equation to each source of variation (complete model). The selected models used in different grouping strategies were evaluated based on standard error of estimate (Syx%), adjusted coefficients of determination (R² aj.) and graphical residues analysis. The fittied equations to each strategy were submitted to model identity test. It was found that related to plots should not be used a single height-diameter equation (general model) to represent all the plots in an inventory even if it is of the same species and/or age. In relation to volume it was observed for the species Pinus oocarpa and Pinus caribaea var. hondurensis that a single equation can be used to estimate the total volume of two species since at the same age, while for different ages it is recommended the fitting for stand level.
publishDate 2022
dc.date.none.fl_str_mv 2022-09-22
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/35017
10.5902/1980509835017
url https://periodicos.ufsm.br/cienciaflorestal/article/view/35017
identifier_str_mv 10.5902/1980509835017
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://periodicos.ufsm.br/cienciaflorestal/article/view/35017/48977
https://periodicos.ufsm.br/cienciaflorestal/article/view/35017/50938
dc.rights.driver.fl_str_mv Copyright (c) 2022 Ciência Florestal
http://creativecommons.org/licenses/by-nc/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2022 Ciência Florestal
http://creativecommons.org/licenses/by-nc/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
text/xml
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. 32 No. 3 (2022); 1165-1186
Ciência Florestal; v. 32 n. 3 (2022); 1165-1186
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
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