Performance of stratification in a brazilian savanna fragment by using geoestatistical interpolator
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFLA |
Texto Completo: | http://www.cerne.ufla.br/site/index.php/CERNE/article/view/867 http://repositorio.ufla.br/jspui/handle/1/14100 |
Resumo: | This study verified the existence of spatial dependence in a Brazilian savanna fragment and incorporated it to the forest inventory by stratifying, compared the accuracy of systematic sampling (SS) with stratified random sampling (SRS) and verified the accuracy of SRS with reduced sampling intensity. A total of 157 sample plots (area of 1000 m2) were allocated and distributed systematically in the area. The circumference at 1.3m from the soil and the total height of all trees were measured in the plots. The volume of each plot was obtained by volume equations generated for the physiognomy. It was found that the dendrometric characteristic of volume is spatially structured. The inventory error obtained for the SS was 11.38% and 6,47% for SRS. With the sampling intensity decreased by 60%, the error for SRS was 9.93%. These results showed that even with a marked reduction in the sampling intensity, the estimates by stratified random sampling (SRS) is more accurate than the estimates of systematic sampling (SS). Therefore, the stratification based on the spatial dependence in the characteristic of interest is a very useful tool in improving the quality of forest inventory estimators even with a reduction in sampling intensity. |
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Performance of stratification in a brazilian savanna fragment by using geoestatistical interpolatorDesempenho da estratificação em um fragmento de cerrado stricto sensu utilizando interpolador geoestatísticoForestry inventory, spatial statistic, spatial interpolator, krigingThis study verified the existence of spatial dependence in a Brazilian savanna fragment and incorporated it to the forest inventory by stratifying, compared the accuracy of systematic sampling (SS) with stratified random sampling (SRS) and verified the accuracy of SRS with reduced sampling intensity. A total of 157 sample plots (area of 1000 m2) were allocated and distributed systematically in the area. The circumference at 1.3m from the soil and the total height of all trees were measured in the plots. The volume of each plot was obtained by volume equations generated for the physiognomy. It was found that the dendrometric characteristic of volume is spatially structured. The inventory error obtained for the SS was 11.38% and 6,47% for SRS. With the sampling intensity decreased by 60%, the error for SRS was 9.93%. These results showed that even with a marked reduction in the sampling intensity, the estimates by stratified random sampling (SRS) is more accurate than the estimates of systematic sampling (SS). Therefore, the stratification based on the spatial dependence in the characteristic of interest is a very useful tool in improving the quality of forest inventory estimators even with a reduction in sampling intensity.CERNECERNE2016-04-052017-08-01T20:13:37Z2017-08-01T20:13:37Z2017-08-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://www.cerne.ufla.br/site/index.php/CERNE/article/view/867http://repositorio.ufla.br/jspui/handle/1/14100CERNE; Vol 18 No 4 (2012); 675-681CERNE; Vol 18 No 4 (2012); 675-6812317-63420104-7760reponame:Repositório Institucional da UFLAinstname:Universidade Federal de Lavras (UFLA)instacron:UFLAenghttp://www.cerne.ufla.br/site/index.php/CERNE/article/view/867/646Copyright (c) 2016 CERNEhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessAlvarenga, Luiz Henrique VictorMello, José Márcio deGuedes, Isabel Carolina de LimaScolforo, José Roberto Soares2020-01-20T19:19:50Zoai:localhost:1/14100Repositório InstitucionalPUBhttp://repositorio.ufla.br/oai/requestnivaldo@ufla.br || repositorio.biblioteca@ufla.bropendoar:2020-01-20T19:19:50Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)false |
dc.title.none.fl_str_mv |
Performance of stratification in a brazilian savanna fragment by using geoestatistical interpolator Desempenho da estratificação em um fragmento de cerrado stricto sensu utilizando interpolador geoestatístico |
title |
Performance of stratification in a brazilian savanna fragment by using geoestatistical interpolator |
spellingShingle |
Performance of stratification in a brazilian savanna fragment by using geoestatistical interpolator Alvarenga, Luiz Henrique Victor Forestry inventory, spatial statistic, spatial interpolator, kriging |
title_short |
Performance of stratification in a brazilian savanna fragment by using geoestatistical interpolator |
title_full |
Performance of stratification in a brazilian savanna fragment by using geoestatistical interpolator |
title_fullStr |
Performance of stratification in a brazilian savanna fragment by using geoestatistical interpolator |
title_full_unstemmed |
Performance of stratification in a brazilian savanna fragment by using geoestatistical interpolator |
title_sort |
Performance of stratification in a brazilian savanna fragment by using geoestatistical interpolator |
author |
Alvarenga, Luiz Henrique Victor |
author_facet |
Alvarenga, Luiz Henrique Victor Mello, José Márcio de Guedes, Isabel Carolina de Lima Scolforo, José Roberto Soares |
author_role |
author |
author2 |
Mello, José Márcio de Guedes, Isabel Carolina de Lima Scolforo, José Roberto Soares |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Alvarenga, Luiz Henrique Victor Mello, José Márcio de Guedes, Isabel Carolina de Lima Scolforo, José Roberto Soares |
dc.subject.por.fl_str_mv |
Forestry inventory, spatial statistic, spatial interpolator, kriging |
topic |
Forestry inventory, spatial statistic, spatial interpolator, kriging |
description |
This study verified the existence of spatial dependence in a Brazilian savanna fragment and incorporated it to the forest inventory by stratifying, compared the accuracy of systematic sampling (SS) with stratified random sampling (SRS) and verified the accuracy of SRS with reduced sampling intensity. A total of 157 sample plots (area of 1000 m2) were allocated and distributed systematically in the area. The circumference at 1.3m from the soil and the total height of all trees were measured in the plots. The volume of each plot was obtained by volume equations generated for the physiognomy. It was found that the dendrometric characteristic of volume is spatially structured. The inventory error obtained for the SS was 11.38% and 6,47% for SRS. With the sampling intensity decreased by 60%, the error for SRS was 9.93%. These results showed that even with a marked reduction in the sampling intensity, the estimates by stratified random sampling (SRS) is more accurate than the estimates of systematic sampling (SS). Therefore, the stratification based on the spatial dependence in the characteristic of interest is a very useful tool in improving the quality of forest inventory estimators even with a reduction in sampling intensity. |
publishDate |
2016 |
dc.date.none.fl_str_mv |
2016-04-05 2017-08-01T20:13:37Z 2017-08-01T20:13:37Z 2017-08-01 |
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 |
http://www.cerne.ufla.br/site/index.php/CERNE/article/view/867 http://repositorio.ufla.br/jspui/handle/1/14100 |
url |
http://www.cerne.ufla.br/site/index.php/CERNE/article/view/867 http://repositorio.ufla.br/jspui/handle/1/14100 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
http://www.cerne.ufla.br/site/index.php/CERNE/article/view/867/646 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2016 CERNE http://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2016 CERNE http://creativecommons.org/licenses/by/4.0/ |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
CERNE CERNE |
publisher.none.fl_str_mv |
CERNE CERNE |
dc.source.none.fl_str_mv |
CERNE; Vol 18 No 4 (2012); 675-681 CERNE; Vol 18 No 4 (2012); 675-681 2317-6342 0104-7760 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_ |
1784550177835581440 |