Data grouping to fit height-diameter and volume models of Pinus oocarpa and Pinus caribaea var. hondurensis
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , , |
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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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 |
_version_ |
1799944134020038656 |