GEOSTATISTICAL TECHNIQUES AND SPATIAL INTERPOLATORS IN THE STRATIFICATION OF Eucalyptus sp. STANDS

Detalhes bibliográficos
Autor(a) principal: Guedes, Isabel Carolina de Lima
Data de Publicação: 2012
Outros Autores: Mello, José Márcio de, Mello, Carlos Rogério de, Oliveira, Antônio Donizette de, Silva, Sérgio Teixeira da, Scolforo, José Roberto Soares
Tipo de documento: Artigo
Idioma: por
Título da fonte: Ciência Florestal (Online)
Texto Completo: https://periodicos.ufsm.br/cienciaflorestal/article/view/6621
Resumo: http://dx.doi.org/10.5902/198050986621The objectives of this study were to verify the possibility of application of the spatial dependence structure for stratus definition in forest stands and to compare, based on the sampling error, Random Sampling Design (ACS) and Stratified Sampling Design (ACE), being the stratification realized by the spatial interpolators Inverse of Square of Distance (IQD) and Kriging. The data was provided from conventional inventories conducted in the years of 2006 and 2007, in clonal eucalypt stands on projects located in Curvelo, João Pinheiro and Montes Claros Counties, in Minas Gerais state. The results showed that, of the 50 projects, 64% presented medium or high spatial dependence degree, evidencing that geo-statistical methods reduce the error without increasing the costs in the inventory. The stratification based on IQD which was used in the projects with low spatial dependence degree (DE) contributed for a mean reduction of 68.4% in the sampling error. The use of the kriging in the projects with medium or high DE, contributed for a mean reduction of 47.0% and 65.7% in the sampling error, respectively. Even in the projects where the spatial dependence structure was detected, the stratification based on IQD generates improvement of the estimates in the ACE compared to the ACS.
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spelling GEOSTATISTICAL TECHNIQUES AND SPATIAL INTERPOLATORS IN THE STRATIFICATION OF Eucalyptus sp. STANDSTécnicas geoestatísticas e interpoladores espaciais na estratificação de povoamentos de Eucalyptus sp.forest inventoryspatial dependencesampling techniquesinventário florestaldependência espacialtécnicas de amostragemhttp://dx.doi.org/10.5902/198050986621The objectives of this study were to verify the possibility of application of the spatial dependence structure for stratus definition in forest stands and to compare, based on the sampling error, Random Sampling Design (ACS) and Stratified Sampling Design (ACE), being the stratification realized by the spatial interpolators Inverse of Square of Distance (IQD) and Kriging. The data was provided from conventional inventories conducted in the years of 2006 and 2007, in clonal eucalypt stands on projects located in Curvelo, João Pinheiro and Montes Claros Counties, in Minas Gerais state. The results showed that, of the 50 projects, 64% presented medium or high spatial dependence degree, evidencing that geo-statistical methods reduce the error without increasing the costs in the inventory. The stratification based on IQD which was used in the projects with low spatial dependence degree (DE) contributed for a mean reduction of 68.4% in the sampling error. The use of the kriging in the projects with medium or high DE, contributed for a mean reduction of 47.0% and 65.7% in the sampling error, respectively. Even in the projects where the spatial dependence structure was detected, the stratification based on IQD generates improvement of the estimates in the ACE compared to the ACS.http://dx.doi.org/10.5902/198050986621Os objetivos deste estudo foram verificar a possibilidade do uso da estrutura de dependência espacial para a definição de estratos em povoamentos florestais e comparar, com base no erro de amostragem, a Amostragem Casual Simples (ACS) e a Amostragem Casual Estratificada (ACE), sendo a estratificação realizada por meio dos interpoladores espaciais Inverso do Quadrado da Distância (IQD) e Krigagem. Os dados utilizados foram provenientes de inventários convencionais realizados nos anos de 2006 e 2007, em projetos localizados nos municípios de Curvelo, João Pinheiro e Montes Claros, Minas Gerais. Os resultados mostraram que, dos 50 projetos, 64 % apresentaram grau de dependência espacial de médio a forte, evidenciando que o uso de métodos geoestatísticos possibilita redução no erro sem aumento de custo no inventário. A estratificação com base no interpolador IQD utilizada nos projetos que apresentaram fraco grau de dependência espacial (DE) contribuiu para uma redução em média de 68,4 % no erro de amostragem. A utilização do interpolador geoestatístico nos projetos que apresentaram de média a forte DE, contribuiu para uma redução média de 47,0 % e 65,7 % no erro de amostragem, respectivamente. Mesmo nos projetos onde a estrutura de dependência espacial se manifestou, a estratificação com base no interpolador IQD gera melhoria das estimativas da ACE em relação à ACS.Universidade Federal de Santa Maria2012-09-27info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.ufsm.br/cienciaflorestal/article/view/662110.5902/198050986621Ciência Florestal; Vol. 22 No. 3 (2012); 541-550Ciência Florestal; v. 22 n. 3 (2012); 541-5501980-50980103-9954reponame:Ciência Florestal (Online)instname:Universidade Federal de Santa Maria (UFSM)instacron:UFSMporhttps://periodicos.ufsm.br/cienciaflorestal/article/view/6621/4022Guedes, Isabel Carolina de LimaMello, José Márcio deMello, Carlos Rogério deOliveira, Antônio Donizette deSilva, Sérgio Teixeira daScolforo, José Roberto Soaresinfo:eu-repo/semantics/openAccess2017-04-20T13:09:46Zoai:ojs.pkp.sfu.ca:article/6621Revistahttp://www.ufsm.br/cienciaflorestal/ONGhttps://old.scielo.br/oai/scielo-oai.php||cienciaflorestal@ufsm.br|| cienciaflorestal@gmail.com|| cf@smail.ufsm.br1980-50980103-9954opendoar:2017-04-20T13:09:46Ciência Florestal (Online) - Universidade Federal de Santa Maria (UFSM)false
dc.title.none.fl_str_mv GEOSTATISTICAL TECHNIQUES AND SPATIAL INTERPOLATORS IN THE STRATIFICATION OF Eucalyptus sp. STANDS
Técnicas geoestatísticas e interpoladores espaciais na estratificação de povoamentos de Eucalyptus sp.
title GEOSTATISTICAL TECHNIQUES AND SPATIAL INTERPOLATORS IN THE STRATIFICATION OF Eucalyptus sp. STANDS
spellingShingle GEOSTATISTICAL TECHNIQUES AND SPATIAL INTERPOLATORS IN THE STRATIFICATION OF Eucalyptus sp. STANDS
Guedes, Isabel Carolina de Lima
forest inventory
spatial dependence
sampling techniques
inventário florestal
dependência espacial
técnicas de amostragem
title_short GEOSTATISTICAL TECHNIQUES AND SPATIAL INTERPOLATORS IN THE STRATIFICATION OF Eucalyptus sp. STANDS
title_full GEOSTATISTICAL TECHNIQUES AND SPATIAL INTERPOLATORS IN THE STRATIFICATION OF Eucalyptus sp. STANDS
title_fullStr GEOSTATISTICAL TECHNIQUES AND SPATIAL INTERPOLATORS IN THE STRATIFICATION OF Eucalyptus sp. STANDS
title_full_unstemmed GEOSTATISTICAL TECHNIQUES AND SPATIAL INTERPOLATORS IN THE STRATIFICATION OF Eucalyptus sp. STANDS
title_sort GEOSTATISTICAL TECHNIQUES AND SPATIAL INTERPOLATORS IN THE STRATIFICATION OF Eucalyptus sp. STANDS
author Guedes, Isabel Carolina de Lima
author_facet Guedes, Isabel Carolina de Lima
Mello, José Márcio de
Mello, Carlos Rogério de
Oliveira, Antônio Donizette de
Silva, Sérgio Teixeira da
Scolforo, José Roberto Soares
author_role author
author2 Mello, José Márcio de
Mello, Carlos Rogério de
Oliveira, Antônio Donizette de
Silva, Sérgio Teixeira da
Scolforo, José Roberto Soares
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Guedes, Isabel Carolina de Lima
Mello, José Márcio de
Mello, Carlos Rogério de
Oliveira, Antônio Donizette de
Silva, Sérgio Teixeira da
Scolforo, José Roberto Soares
dc.subject.por.fl_str_mv forest inventory
spatial dependence
sampling techniques
inventário florestal
dependência espacial
técnicas de amostragem
topic forest inventory
spatial dependence
sampling techniques
inventário florestal
dependência espacial
técnicas de amostragem
description http://dx.doi.org/10.5902/198050986621The objectives of this study were to verify the possibility of application of the spatial dependence structure for stratus definition in forest stands and to compare, based on the sampling error, Random Sampling Design (ACS) and Stratified Sampling Design (ACE), being the stratification realized by the spatial interpolators Inverse of Square of Distance (IQD) and Kriging. The data was provided from conventional inventories conducted in the years of 2006 and 2007, in clonal eucalypt stands on projects located in Curvelo, João Pinheiro and Montes Claros Counties, in Minas Gerais state. The results showed that, of the 50 projects, 64% presented medium or high spatial dependence degree, evidencing that geo-statistical methods reduce the error without increasing the costs in the inventory. The stratification based on IQD which was used in the projects with low spatial dependence degree (DE) contributed for a mean reduction of 68.4% in the sampling error. The use of the kriging in the projects with medium or high DE, contributed for a mean reduction of 47.0% and 65.7% in the sampling error, respectively. Even in the projects where the spatial dependence structure was detected, the stratification based on IQD generates improvement of the estimates in the ACE compared to the ACS.
publishDate 2012
dc.date.none.fl_str_mv 2012-09-27
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/6621
10.5902/198050986621
url https://periodicos.ufsm.br/cienciaflorestal/article/view/6621
identifier_str_mv 10.5902/198050986621
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://periodicos.ufsm.br/cienciaflorestal/article/view/6621/4022
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 Universidade Federal de Santa Maria
publisher.none.fl_str_mv Universidade Federal de Santa Maria
dc.source.none.fl_str_mv Ciência Florestal; Vol. 22 No. 3 (2012); 541-550
Ciência Florestal; v. 22 n. 3 (2012); 541-550
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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