Sampling and stratification hypsometric relation data in forest inventories of savanna

Detalhes bibliográficos
Autor(a) principal: Andrade, Valdir Carlos Lima de
Data de Publicação: 2015
Outros Autores: Kroetz, Elaine Aparecida, Nicola, Andrei, Souza, Priscila Bezerra de, Nohama, Fabiano Kenji, Leite, Helio Garcia, Binoti, Daniel Henrique Breda, BinotiI, Mayra Luiza Marques da Silva
Tipo de documento: Artigo
Idioma: por
Título da fonte: Pesquisa Florestal Brasileira (Online)
Texto Completo: https://pfb.cnpf.embrapa.br/pfb/index.php/pfb/article/view/683
Resumo: This study aimed at evaluating the application of linear hypsometric equations in savanna located in the state of Tocantins, Brazil. Data were obtained in 46 plots of 1,000 m² each, and 13 plots were used to simulate six different systems of data sampling to fit hypsometric models. The remaining 33 plots were reserved for an application test of generated hypsometric equations. In this assessment, to decide the sampling system and model, in addition to the residual graphic analysis, the following statistic criteria were adopted: residual standard error and multiple linear correlation. After this decision, a model identity test was applied to determine the best way to prepare the database aiming at the hypsometric models adjustment. We concluded that the linear functional relation: Ln(h)=f[Ln(N); Ln(dq/d); 1/d] fitted with data from the first 50 trees of each plot and, independently, from diameter class, was the most appropriate to characterize the hypsometric relation in savanna in Tocantins.
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spelling Sampling and stratification hypsometric relation data in forest inventories of savannaAmostragem e agrupamento de dados de relação hipsométrica em inventários florestais de Cerrado TocantinenseCerrado tocantinenseModelos hipsométricosIdentidade de modelosSavanna tocantinenseHypsometric modelsModels identityThis study aimed at evaluating the application of linear hypsometric equations in savanna located in the state of Tocantins, Brazil. Data were obtained in 46 plots of 1,000 m² each, and 13 plots were used to simulate six different systems of data sampling to fit hypsometric models. The remaining 33 plots were reserved for an application test of generated hypsometric equations. In this assessment, to decide the sampling system and model, in addition to the residual graphic analysis, the following statistic criteria were adopted: residual standard error and multiple linear correlation. After this decision, a model identity test was applied to determine the best way to prepare the database aiming at the hypsometric models adjustment. We concluded that the linear functional relation: Ln(h)=f[Ln(N); Ln(dq/d); 1/d] fitted with data from the first 50 trees of each plot and, independently, from diameter class, was the most appropriate to characterize the hypsometric relation in savanna in Tocantins.Este estudo foi conduzido com o objetivo de avaliar o emprego de equações hipsométricas em cerrado sensu stricto focalizando o sistema de amostragem e o agrupamento dos dados de relação hipsométrica. Para isso, foram utilizadas 46 parcelas de 1.000 m² cada, onde 13 parcelas foram empregadas na simulação de seis diferentes sistemas de amostragem e na estratificação de dados para o ajuste de modelos hipsométricos. As 33 parcelas restantes foram reservadas para um teste de aplicação das equações hipsométricas geradas, onde, para decidir quanto ao modelo hipsométrico e sistema de amostragem, foram adotados os critérios estatísticos: erro padrão residual e correlação linear múltipla, além da análise da distribuição de resíduos. Após esta decisão, foi utilizado um teste de identidade de modelos para verificar a melhor forma de preparar a base de dados visando o ajuste de modelos hipsométricos. Concluiu-se que a relação funcional linear: Ln(h)=f[Ln(N); Ln(dq/d); 1/d] foi a mais adequada para caracterizar a relação hipsométrica em inventários florestais de cerrado sensu stricto e deve ser ajustada com dados obtidos nas 50 primeiras árvores de cada parcela, sem agrupamento por classe de diâmetro.Embrapa Florestas2015-09-30info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://pfb.cnpf.embrapa.br/pfb/index.php/pfb/article/view/68310.4336/2015.pfb.35.83.683Pesquisa Florestal Brasileira; v. 35 n. 83 (2015): jul./set.; 227-238Pesquisa Florestal Brasileira; Vol. 35 No. 83 (2015): jul./set.; 227-2381983-26051809-3647reponame:Pesquisa Florestal Brasileira (Online)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPAporhttps://pfb.cnpf.embrapa.br/pfb/index.php/pfb/article/view/683/430Andrade, Valdir Carlos Lima deKroetz, Elaine AparecidaNicola, AndreiSouza, Priscila Bezerra deNohama, Fabiano KenjiLeite, Helio GarciaBinoti, Daniel Henrique BredaBinotiI, Mayra Luiza Marques da Silvainfo:eu-repo/semantics/openAccess2017-04-28T12:42:02Zoai:pfb.cnpf.embrapa.br/pfb:article/683Revistahttps://pfb.cnpf.embrapa.br/pfb/index.php/pfb/PUBhttps://pfb.cnpf.embrapa.br/pfb/index.php/pfb/oaipfb@embrapa.br || revista.pfb@gmail.com || patricia.mattos@embrapa.br1983-26051809-3647opendoar:2017-04-28T12:42:02Pesquisa Florestal Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false
dc.title.none.fl_str_mv Sampling and stratification hypsometric relation data in forest inventories of savanna
Amostragem e agrupamento de dados de relação hipsométrica em inventários florestais de Cerrado Tocantinense
title Sampling and stratification hypsometric relation data in forest inventories of savanna
spellingShingle Sampling and stratification hypsometric relation data in forest inventories of savanna
Andrade, Valdir Carlos Lima de
Cerrado tocantinense
Modelos hipsométricos
Identidade de modelos
Savanna tocantinense
Hypsometric models
Models identity
title_short Sampling and stratification hypsometric relation data in forest inventories of savanna
title_full Sampling and stratification hypsometric relation data in forest inventories of savanna
title_fullStr Sampling and stratification hypsometric relation data in forest inventories of savanna
title_full_unstemmed Sampling and stratification hypsometric relation data in forest inventories of savanna
title_sort Sampling and stratification hypsometric relation data in forest inventories of savanna
author Andrade, Valdir Carlos Lima de
author_facet Andrade, Valdir Carlos Lima de
Kroetz, Elaine Aparecida
Nicola, Andrei
Souza, Priscila Bezerra de
Nohama, Fabiano Kenji
Leite, Helio Garcia
Binoti, Daniel Henrique Breda
BinotiI, Mayra Luiza Marques da Silva
author_role author
author2 Kroetz, Elaine Aparecida
Nicola, Andrei
Souza, Priscila Bezerra de
Nohama, Fabiano Kenji
Leite, Helio Garcia
Binoti, Daniel Henrique Breda
BinotiI, Mayra Luiza Marques da Silva
author2_role author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Andrade, Valdir Carlos Lima de
Kroetz, Elaine Aparecida
Nicola, Andrei
Souza, Priscila Bezerra de
Nohama, Fabiano Kenji
Leite, Helio Garcia
Binoti, Daniel Henrique Breda
BinotiI, Mayra Luiza Marques da Silva
dc.subject.por.fl_str_mv Cerrado tocantinense
Modelos hipsométricos
Identidade de modelos
Savanna tocantinense
Hypsometric models
Models identity
topic Cerrado tocantinense
Modelos hipsométricos
Identidade de modelos
Savanna tocantinense
Hypsometric models
Models identity
description This study aimed at evaluating the application of linear hypsometric equations in savanna located in the state of Tocantins, Brazil. Data were obtained in 46 plots of 1,000 m² each, and 13 plots were used to simulate six different systems of data sampling to fit hypsometric models. The remaining 33 plots were reserved for an application test of generated hypsometric equations. In this assessment, to decide the sampling system and model, in addition to the residual graphic analysis, the following statistic criteria were adopted: residual standard error and multiple linear correlation. After this decision, a model identity test was applied to determine the best way to prepare the database aiming at the hypsometric models adjustment. We concluded that the linear functional relation: Ln(h)=f[Ln(N); Ln(dq/d); 1/d] fitted with data from the first 50 trees of each plot and, independently, from diameter class, was the most appropriate to characterize the hypsometric relation in savanna in Tocantins.
publishDate 2015
dc.date.none.fl_str_mv 2015-09-30
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://pfb.cnpf.embrapa.br/pfb/index.php/pfb/article/view/683
10.4336/2015.pfb.35.83.683
url https://pfb.cnpf.embrapa.br/pfb/index.php/pfb/article/view/683
identifier_str_mv 10.4336/2015.pfb.35.83.683
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://pfb.cnpf.embrapa.br/pfb/index.php/pfb/article/view/683/430
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Embrapa Florestas
publisher.none.fl_str_mv Embrapa Florestas
dc.source.none.fl_str_mv Pesquisa Florestal Brasileira; v. 35 n. 83 (2015): jul./set.; 227-238
Pesquisa Florestal Brasileira; Vol. 35 No. 83 (2015): jul./set.; 227-238
1983-2605
1809-3647
reponame:Pesquisa Florestal Brasileira (Online)
instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
instname_str Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron_str EMBRAPA
institution EMBRAPA
reponame_str Pesquisa Florestal Brasileira (Online)
collection Pesquisa Florestal Brasileira (Online)
repository.name.fl_str_mv Pesquisa Florestal Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
repository.mail.fl_str_mv pfb@embrapa.br || revista.pfb@gmail.com || patricia.mattos@embrapa.br
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