Spatial Variability and Sampling Structures for Forest Fuel Material Estimation
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Floresta e Ambiente |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-80872017000100135 |
Resumo: | ABSTRACT The aim of this work was to model the spatial dependence of fuel material deposition on the ground in a pine stand, and to simulate and evaluate sampling procedures for estimating it. Branches with diameters up to 0.7 cm (A) and from 0.71 to 2.5 cm (B) were collected. Subsequently, the structures of systematic sampling and linear clusters were simulated for 50%, 33% and 23% of the total sample size, and the spatial dependence was evaluated through geostatistical modeling. The systematic sampling was suitable, with representative spatial coverage and accurate estimators, whereas linear clusters were inadequate. The reduction of the number of sample units affected the estimators, but their sampling errors did not exceed 10% for the sample sizes of 23% for class A of fuel material and 50% for class B in the systematic structure, resulting in consistent estimates. |
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Floresta e Ambiente |
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|
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Spatial Variability and Sampling Structures for Forest Fuel Material Estimationintensity of sample sizesampling errorsconsistency of the estimatorsABSTRACT The aim of this work was to model the spatial dependence of fuel material deposition on the ground in a pine stand, and to simulate and evaluate sampling procedures for estimating it. Branches with diameters up to 0.7 cm (A) and from 0.71 to 2.5 cm (B) were collected. Subsequently, the structures of systematic sampling and linear clusters were simulated for 50%, 33% and 23% of the total sample size, and the spatial dependence was evaluated through geostatistical modeling. The systematic sampling was suitable, with representative spatial coverage and accurate estimators, whereas linear clusters were inadequate. The reduction of the number of sample units affected the estimators, but their sampling errors did not exceed 10% for the sample sizes of 23% for class A of fuel material and 50% for class B in the systematic structure, resulting in consistent estimates.Instituto de Florestas da Universidade Federal Rural do Rio de Janeiro2017-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-80872017000100135Floresta e Ambiente v.24 2017reponame:Floresta e Ambienteinstname:Universidade Federal do Rio de Janeiro (UFRJ)instacron:UFRJ10.1590/2179-8087.002616info:eu-repo/semantics/openAccessMbanze,Aires AfonsoPéllico Netto,SylvioPelissari,Allan LibanioFernandes,Anabela CoutoTetto,Alexandre Françaeng2017-04-24T00:00:00Zoai:scielo:S2179-80872017000100135Revistahttps://www.floram.org/PUBhttps://old.scielo.br/oai/scielo-oai.phpfloramjournal@gmail.com||floram@ufrrj.br||2179-80871415-0980opendoar:2017-04-24T00:00Floresta e Ambiente - Universidade Federal do Rio de Janeiro (UFRJ)false |
dc.title.none.fl_str_mv |
Spatial Variability and Sampling Structures for Forest Fuel Material Estimation |
title |
Spatial Variability and Sampling Structures for Forest Fuel Material Estimation |
spellingShingle |
Spatial Variability and Sampling Structures for Forest Fuel Material Estimation Mbanze,Aires Afonso intensity of sample size sampling errors consistency of the estimators |
title_short |
Spatial Variability and Sampling Structures for Forest Fuel Material Estimation |
title_full |
Spatial Variability and Sampling Structures for Forest Fuel Material Estimation |
title_fullStr |
Spatial Variability and Sampling Structures for Forest Fuel Material Estimation |
title_full_unstemmed |
Spatial Variability and Sampling Structures for Forest Fuel Material Estimation |
title_sort |
Spatial Variability and Sampling Structures for Forest Fuel Material Estimation |
author |
Mbanze,Aires Afonso |
author_facet |
Mbanze,Aires Afonso Péllico Netto,Sylvio Pelissari,Allan Libanio Fernandes,Anabela Couto Tetto,Alexandre França |
author_role |
author |
author2 |
Péllico Netto,Sylvio Pelissari,Allan Libanio Fernandes,Anabela Couto Tetto,Alexandre França |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Mbanze,Aires Afonso Péllico Netto,Sylvio Pelissari,Allan Libanio Fernandes,Anabela Couto Tetto,Alexandre França |
dc.subject.por.fl_str_mv |
intensity of sample size sampling errors consistency of the estimators |
topic |
intensity of sample size sampling errors consistency of the estimators |
description |
ABSTRACT The aim of this work was to model the spatial dependence of fuel material deposition on the ground in a pine stand, and to simulate and evaluate sampling procedures for estimating it. Branches with diameters up to 0.7 cm (A) and from 0.71 to 2.5 cm (B) were collected. Subsequently, the structures of systematic sampling and linear clusters were simulated for 50%, 33% and 23% of the total sample size, and the spatial dependence was evaluated through geostatistical modeling. The systematic sampling was suitable, with representative spatial coverage and accurate estimators, whereas linear clusters were inadequate. The reduction of the number of sample units affected the estimators, but their sampling errors did not exceed 10% for the sample sizes of 23% for class A of fuel material and 50% for class B in the systematic structure, resulting in consistent estimates. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-01-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-80872017000100135 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-80872017000100135 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/2179-8087.002616 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Instituto de Florestas da Universidade Federal Rural do Rio de Janeiro |
publisher.none.fl_str_mv |
Instituto de Florestas da Universidade Federal Rural do Rio de Janeiro |
dc.source.none.fl_str_mv |
Floresta e Ambiente v.24 2017 reponame:Floresta e Ambiente instname:Universidade Federal do Rio de Janeiro (UFRJ) instacron:UFRJ |
instname_str |
Universidade Federal do Rio de Janeiro (UFRJ) |
instacron_str |
UFRJ |
institution |
UFRJ |
reponame_str |
Floresta e Ambiente |
collection |
Floresta e Ambiente |
repository.name.fl_str_mv |
Floresta e Ambiente - Universidade Federal do Rio de Janeiro (UFRJ) |
repository.mail.fl_str_mv |
floramjournal@gmail.com||floram@ufrrj.br|| |
_version_ |
1750128141654818816 |