Estimating precision of systematic sampling in forest inventories

Detalhes bibliográficos
Autor(a) principal: Mello, José Marcio de
Data de Publicação: 2015
Outros Autores: Scolforo, Henrique Ferraço, Raimundo, Marcel Régis, Scolforo, José Roberto Soares, Oliveira, Antônio Donizette de, Ferraz Filho, Antônio Carlos
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFLA
Texto Completo: http://repositorio.ufla.br/jspui/handle/1/12409
Resumo: The sampling technique commonly used in forest inventories is the systematic sampling. This study aimed to evaluate the estimator of the variance of the mean proposed by Cochran for a systematic sampling technique in forests with high and low percentages of the sampled area. The study areas comprised native vegetation in Minas Gerais. To assess the efficiency of the estimators in situations involving high sampling rates (determined as the percentage of the area sampled), a fragment where a census was conducted was used. The remaining fragments comprised situations involving low sampling rates, and for these fragments, inventory accuracy was determined using the Cochran estimator. As a result it was observed, in the fragment where the census was conducted, that the structure of the correlation coefficient proposed by Cochran remained approximately constant for the area, and to the extent that sampling rate reduced, the impact of the Cochran estimator on the inventory accuracy decreased. For the fragments with a low sampling rate, it could be inferred that the sampling rate was a key factor for the correlation proposed by Cochran to have an impact on the forest inventory accuracy. The use of this estimator is indicated for fragments with a sampling rate greater than 10% of the area.
id UFLA_9ff5f0c3b129eb4d2c678a2c34e00ac4
oai_identifier_str oai:localhost:1/12409
network_acronym_str UFLA
network_name_str Repositório Institucional da UFLA
repository_id_str
spelling Estimating precision of systematic sampling in forest inventoriesEstimativa da precisão na amostragem sistemática em inventários florestaisForest samplingForest inventoryForests - Minas GeraisFlorestas amostragemInventário florestalFlorestas - Minas GeraisThe sampling technique commonly used in forest inventories is the systematic sampling. This study aimed to evaluate the estimator of the variance of the mean proposed by Cochran for a systematic sampling technique in forests with high and low percentages of the sampled area. The study areas comprised native vegetation in Minas Gerais. To assess the efficiency of the estimators in situations involving high sampling rates (determined as the percentage of the area sampled), a fragment where a census was conducted was used. The remaining fragments comprised situations involving low sampling rates, and for these fragments, inventory accuracy was determined using the Cochran estimator. As a result it was observed, in the fragment where the census was conducted, that the structure of the correlation coefficient proposed by Cochran remained approximately constant for the area, and to the extent that sampling rate reduced, the impact of the Cochran estimator on the inventory accuracy decreased. For the fragments with a low sampling rate, it could be inferred that the sampling rate was a key factor for the correlation proposed by Cochran to have an impact on the forest inventory accuracy. The use of this estimator is indicated for fragments with a sampling rate greater than 10% of the area.A técnica de amostragem comumente usada em inventários florestais é a amostragem sistemática. Objetivou-se avaliar o estimador da variância da média proposto por Cochran, no procedimento de amostragem sistemática, em florestas com alto e baixo percentual da área amostrado. As áreas contemplaram a vegetação nativa de Minas Gerais. Para verificar o comportamento dos estimadores numa situação com alto percentual de área amostrado, utilizou-se o fragmento onde foi efetuado o censo. Os demais se adequaram às situações de baixo percentual amostrado, observando-se o comportamento da precisão do inventário, a partir do uso do estimador de Cochran. Como resultado para o fragmento onde se fez o censo, a estrutura do coeficiente de correlação proposto por Cochran se manteve, aproximadamente, constante para a área e, reduzindo a intensidade de amostragem, o impacto do estimador de Cochran diminuiu. Para os fragmentos com baixo percentual amostrado, a intensidade amostral é a chave para a correlação proposta por Cochran: impactar na precisão do inventário florestal, sendo indicado o uso desse estimador para fragmentos onde há uma intensidade amostral superior a 10% da área inventariada.Universidade Federal de Lavras2017-03-06T13:49:56Z2017-03-06T13:49:56Z2015-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfMELLO, J. M. de et al. Estimating precision of systematic sampling in forest inventories. Ciência e Agrotecnologia, Lavras, v. 39, n. 1, p. 15-22, jan. 2015.http://repositorio.ufla.br/jspui/handle/1/12409Ciência e Agrotecnologiareponame:Repositório Institucional da UFLAinstname:Universidade Federal de Lavras (UFLA)instacron:UFLAMello, José Marcio deScolforo, Henrique FerraçoRaimundo, Marcel RégisScolforo, José Roberto SoaresOliveira, Antônio Donizette deFerraz Filho, Antônio Carlosinfo:eu-repo/semantics/openAccesseng2017-03-06T13:50:38Zoai:localhost:1/12409Repositório InstitucionalPUBhttp://repositorio.ufla.br/oai/requestnivaldo@ufla.br || repositorio.biblioteca@ufla.bropendoar:2017-03-06T13:50:38Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)false
dc.title.none.fl_str_mv Estimating precision of systematic sampling in forest inventories
Estimativa da precisão na amostragem sistemática em inventários florestais
title Estimating precision of systematic sampling in forest inventories
spellingShingle Estimating precision of systematic sampling in forest inventories
Mello, José Marcio de
Forest sampling
Forest inventory
Forests - Minas Gerais
Florestas amostragem
Inventário florestal
Florestas - Minas Gerais
title_short Estimating precision of systematic sampling in forest inventories
title_full Estimating precision of systematic sampling in forest inventories
title_fullStr Estimating precision of systematic sampling in forest inventories
title_full_unstemmed Estimating precision of systematic sampling in forest inventories
title_sort Estimating precision of systematic sampling in forest inventories
author Mello, José Marcio de
author_facet Mello, José Marcio de
Scolforo, Henrique Ferraço
Raimundo, Marcel Régis
Scolforo, José Roberto Soares
Oliveira, Antônio Donizette de
Ferraz Filho, Antônio Carlos
author_role author
author2 Scolforo, Henrique Ferraço
Raimundo, Marcel Régis
Scolforo, José Roberto Soares
Oliveira, Antônio Donizette de
Ferraz Filho, Antônio Carlos
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Mello, José Marcio de
Scolforo, Henrique Ferraço
Raimundo, Marcel Régis
Scolforo, José Roberto Soares
Oliveira, Antônio Donizette de
Ferraz Filho, Antônio Carlos
dc.subject.por.fl_str_mv Forest sampling
Forest inventory
Forests - Minas Gerais
Florestas amostragem
Inventário florestal
Florestas - Minas Gerais
topic Forest sampling
Forest inventory
Forests - Minas Gerais
Florestas amostragem
Inventário florestal
Florestas - Minas Gerais
description The sampling technique commonly used in forest inventories is the systematic sampling. This study aimed to evaluate the estimator of the variance of the mean proposed by Cochran for a systematic sampling technique in forests with high and low percentages of the sampled area. The study areas comprised native vegetation in Minas Gerais. To assess the efficiency of the estimators in situations involving high sampling rates (determined as the percentage of the area sampled), a fragment where a census was conducted was used. The remaining fragments comprised situations involving low sampling rates, and for these fragments, inventory accuracy was determined using the Cochran estimator. As a result it was observed, in the fragment where the census was conducted, that the structure of the correlation coefficient proposed by Cochran remained approximately constant for the area, and to the extent that sampling rate reduced, the impact of the Cochran estimator on the inventory accuracy decreased. For the fragments with a low sampling rate, it could be inferred that the sampling rate was a key factor for the correlation proposed by Cochran to have an impact on the forest inventory accuracy. The use of this estimator is indicated for fragments with a sampling rate greater than 10% of the area.
publishDate 2015
dc.date.none.fl_str_mv 2015-01
2017-03-06T13:49:56Z
2017-03-06T13:49:56Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv MELLO, J. M. de et al. Estimating precision of systematic sampling in forest inventories. Ciência e Agrotecnologia, Lavras, v. 39, n. 1, p. 15-22, jan. 2015.
http://repositorio.ufla.br/jspui/handle/1/12409
identifier_str_mv MELLO, J. M. de et al. Estimating precision of systematic sampling in forest inventories. Ciência e Agrotecnologia, Lavras, v. 39, n. 1, p. 15-22, jan. 2015.
url http://repositorio.ufla.br/jspui/handle/1/12409
dc.language.iso.fl_str_mv eng
language eng
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 Lavras
publisher.none.fl_str_mv Universidade Federal de Lavras
dc.source.none.fl_str_mv Ciência e Agrotecnologia
reponame:Repositório Institucional da UFLA
instname:Universidade Federal de Lavras (UFLA)
instacron:UFLA
instname_str Universidade Federal de Lavras (UFLA)
instacron_str UFLA
institution UFLA
reponame_str Repositório Institucional da UFLA
collection Repositório Institucional da UFLA
repository.name.fl_str_mv Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)
repository.mail.fl_str_mv nivaldo@ufla.br || repositorio.biblioteca@ufla.br
_version_ 1815439222241230848