Production simulation for wood assortment in Tectona grandis L. in the north region of the state of Mato Grosso

Detalhes bibliográficos
Autor(a) principal: Oliveira, Pedro Paulo Gomes de
Data de Publicação: 2022
Outros Autores: Oliveira Filho, Paulo Costa de, Guimarães, Fabiane Aparecida Retslaff, Figueiredo Filho, Afonso, Oliveira, Edilson Batista de
Tipo de documento: Artigo
Idioma: por
Título da fonte: Ciência Florestal (Online)
Texto Completo: https://periodicos.ufsm.br/cienciaflorestal/article/view/67978
Resumo: The present study was developed with the objective of providing equations to estimate the volume, assortments (tapering functions) and the construction of site curves, seeking to forecast the growth and production of a Teak stand located in the municipality of Alta Floresta, Northern region of the state of Mato Grosso, using a growth and forest production simulator called SisTeca. 154 permanent plots were used, whose remedies totaled 909 observations covering ages 2 to 14 years, in addition to the cubing of 139 trees by the Smalian method. The Schumacher-Hall model was adjusted to estimate individual volumes, the fifth-degree taper function to estimate assortments and the Schumacher model for the construction of site curves. At the end, projections were made with SisTeca using the original equations (default) and inserting into the SisTeca the volume, tapering and site equations developed in this research. The adjusted volume, tapering and site equations for Teak stands in the Alta Floresta region, state of Mato Grosso, showed good results of adjustment and precision and are important tools for Teca, either to estimate current stocks or to be inserted in systems growth and production like SisTeca. The EMBRAPA simulator for Teca, when equipped with the dendrometric tools developed in the research, generated better prognosis, compared to the observed values from the plots available for the species in the region of Alta Floresta, state of Mato Grosso. Thus, the need to acquire more representative data for the species is emphasized, both in terms of age and site to develop robust growth and production systems and / or more efficient dendrometric tools to calibrate the SisTeca.
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spelling Production simulation for wood assortment in Tectona grandis L. in the north region of the state of Mato GrossoSimulação da produção por sortimento de madeira em povoamentos de Tectona grandis L. na região norte do estado do Mato GrossoTecaModelagemProduçãoTeakModelingProductionThe present study was developed with the objective of providing equations to estimate the volume, assortments (tapering functions) and the construction of site curves, seeking to forecast the growth and production of a Teak stand located in the municipality of Alta Floresta, Northern region of the state of Mato Grosso, using a growth and forest production simulator called SisTeca. 154 permanent plots were used, whose remedies totaled 909 observations covering ages 2 to 14 years, in addition to the cubing of 139 trees by the Smalian method. The Schumacher-Hall model was adjusted to estimate individual volumes, the fifth-degree taper function to estimate assortments and the Schumacher model for the construction of site curves. At the end, projections were made with SisTeca using the original equations (default) and inserting into the SisTeca the volume, tapering and site equations developed in this research. The adjusted volume, tapering and site equations for Teak stands in the Alta Floresta region, state of Mato Grosso, showed good results of adjustment and precision and are important tools for Teca, either to estimate current stocks or to be inserted in systems growth and production like SisTeca. The EMBRAPA simulator for Teca, when equipped with the dendrometric tools developed in the research, generated better prognosis, compared to the observed values from the plots available for the species in the region of Alta Floresta, state of Mato Grosso. Thus, the need to acquire more representative data for the species is emphasized, both in terms of age and site to develop robust growth and production systems and / or more efficient dendrometric tools to calibrate the SisTeca.O presente estudo foi desenvolvido com objetivo de disponibilizar equações para estimar o volume, sortimentos (funções de afilamento) e a construção de curvas de sítio, buscando realizar a prognose do crescimento e da produção de um povoamento de Teca localizado no município de Alta Floresta, região Norte do estado de Mato Grosso, utilizando um simulador de crescimento e produção florestal denominado SisTeca. Foram utilizadas 154 parcelas permanentes, cujas remedições totalizaram 909 observações, contemplando as idades 2 a 14 anos, além da cubagem de 139 árvores pelo método de Smalian. Foram ajustados o modelo de Schumacher-Hall para estimar os volumes individuais, a função de afilamento de quinto grau para estimar sortimentos e o modelo de Schumacher para a construção de curvas de sítio. Ao final foram realizadas projeções com o SisTeca usando as equações originais (default) e inserindo no SisTeca as equações de volume, afilamento e sítio desenvolvidas nesta pesquisa. As equações de volume, afilamento e sítio ajustadas para povoamentos de Teca na região de Alta Floresta, estado de Mato Grosso, apresentaram bons resultados de ajuste e precisão e são ferramentas importantes para o manejo da Teca, seja para estimar estoques correntes, seja para inserção em sistemas de crescimento e produção como o SisTeca. O simulador da EMBRAPA para a Teca quando munido com as equações dendrométricas desenvolvidas na pesquisa gerou melhores prognoses, comparativamente aos valores observados oriundos das parcelas disponíveis para a espécie na região de Alta Floresta, estado de Mato Grosso. Dessa forma, ressalta-se a necessidade de aquisição de dados mais representativos para a espécie, tanto em termos de idades como de sítio, no sentido de desenvolver sistemas de crescimento e produção robustos e/ou ferramentas dendrométricas mais eficientes visando calibrar o SisTeca.Universidade Federal de Santa Maria2022-11-23info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdftext/xmlhttps://periodicos.ufsm.br/cienciaflorestal/article/view/6797810.5902/1980509867978Ciência Florestal; Vol. 32 No. 4 (2022); 2263-2287Ciência Florestal; v. 32 n. 4 (2022); 2263-22871980-50980103-9954reponame:Ciência Florestal (Online)instname:Universidade Federal de Santa Maria (UFSM)instacron:UFSMporhttps://periodicos.ufsm.br/cienciaflorestal/article/view/67978/49480https://periodicos.ufsm.br/cienciaflorestal/article/view/67978/52415Copyright (c) 2022 Ciência Florestalhttp://creativecommons.org/licenses/by-nc/4.0info:eu-repo/semantics/openAccessOliveira, Pedro Paulo Gomes deOliveira Filho, Paulo Costa deGuimarães, Fabiane Aparecida RetslaffFigueiredo Filho, AfonsoOliveira, Edilson Batista de2023-04-14T15:27:46Zoai:ojs.pkp.sfu.ca:article/67978Revistahttp://www.ufsm.br/cienciaflorestal/ONGhttps://old.scielo.br/oai/scielo-oai.php||cienciaflorestal@ufsm.br|| cienciaflorestal@gmail.com|| cf@smail.ufsm.br1980-50980103-9954opendoar:2023-04-14T15:27:46Ciência Florestal (Online) - Universidade Federal de Santa Maria (UFSM)false
dc.title.none.fl_str_mv Production simulation for wood assortment in Tectona grandis L. in the north region of the state of Mato Grosso
Simulação da produção por sortimento de madeira em povoamentos de Tectona grandis L. na região norte do estado do Mato Grosso
title Production simulation for wood assortment in Tectona grandis L. in the north region of the state of Mato Grosso
spellingShingle Production simulation for wood assortment in Tectona grandis L. in the north region of the state of Mato Grosso
Oliveira, Pedro Paulo Gomes de
Teca
Modelagem
Produção
Teak
Modeling
Production
title_short Production simulation for wood assortment in Tectona grandis L. in the north region of the state of Mato Grosso
title_full Production simulation for wood assortment in Tectona grandis L. in the north region of the state of Mato Grosso
title_fullStr Production simulation for wood assortment in Tectona grandis L. in the north region of the state of Mato Grosso
title_full_unstemmed Production simulation for wood assortment in Tectona grandis L. in the north region of the state of Mato Grosso
title_sort Production simulation for wood assortment in Tectona grandis L. in the north region of the state of Mato Grosso
author Oliveira, Pedro Paulo Gomes de
author_facet Oliveira, Pedro Paulo Gomes de
Oliveira Filho, Paulo Costa de
Guimarães, Fabiane Aparecida Retslaff
Figueiredo Filho, Afonso
Oliveira, Edilson Batista de
author_role author
author2 Oliveira Filho, Paulo Costa de
Guimarães, Fabiane Aparecida Retslaff
Figueiredo Filho, Afonso
Oliveira, Edilson Batista de
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Oliveira, Pedro Paulo Gomes de
Oliveira Filho, Paulo Costa de
Guimarães, Fabiane Aparecida Retslaff
Figueiredo Filho, Afonso
Oliveira, Edilson Batista de
dc.subject.por.fl_str_mv Teca
Modelagem
Produção
Teak
Modeling
Production
topic Teca
Modelagem
Produção
Teak
Modeling
Production
description The present study was developed with the objective of providing equations to estimate the volume, assortments (tapering functions) and the construction of site curves, seeking to forecast the growth and production of a Teak stand located in the municipality of Alta Floresta, Northern region of the state of Mato Grosso, using a growth and forest production simulator called SisTeca. 154 permanent plots were used, whose remedies totaled 909 observations covering ages 2 to 14 years, in addition to the cubing of 139 trees by the Smalian method. The Schumacher-Hall model was adjusted to estimate individual volumes, the fifth-degree taper function to estimate assortments and the Schumacher model for the construction of site curves. At the end, projections were made with SisTeca using the original equations (default) and inserting into the SisTeca the volume, tapering and site equations developed in this research. The adjusted volume, tapering and site equations for Teak stands in the Alta Floresta region, state of Mato Grosso, showed good results of adjustment and precision and are important tools for Teca, either to estimate current stocks or to be inserted in systems growth and production like SisTeca. The EMBRAPA simulator for Teca, when equipped with the dendrometric tools developed in the research, generated better prognosis, compared to the observed values from the plots available for the species in the region of Alta Floresta, state of Mato Grosso. Thus, the need to acquire more representative data for the species is emphasized, both in terms of age and site to develop robust growth and production systems and / or more efficient dendrometric tools to calibrate the SisTeca.
publishDate 2022
dc.date.none.fl_str_mv 2022-11-23
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/67978
10.5902/1980509867978
url https://periodicos.ufsm.br/cienciaflorestal/article/view/67978
identifier_str_mv 10.5902/1980509867978
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://periodicos.ufsm.br/cienciaflorestal/article/view/67978/49480
https://periodicos.ufsm.br/cienciaflorestal/article/view/67978/52415
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. 4 (2022); 2263-2287
Ciência Florestal; v. 32 n. 4 (2022); 2263-2287
1980-5098
0103-9954
reponame:Ciência Florestal (Online)
instname:Universidade Federal de Santa Maria (UFSM)
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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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