SPATIAL CONTINUITY OF DENDROMETRIC CHARACTERISTICS IN CLONAL CULTIVATED EUCALYPTUS SP. TRHOUGHOUT THE TIME
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Cerne (Online) |
Texto Completo: | https://cerne.ufla.br/site/index.php/CERNE/article/view/1101 |
Resumo: | The aim of this study was to evaluate the spatial continuity of the dendrometric characteristics average dominant height, volume and mean annual increment, throughout five different continuous ages. The experimental area was planted in 2003, accounting for 1,072.6 hectares. The data sets were derived from 116 permanent plots where successive forest inventory was carried out between 2006 and 2010. Using least squares weighted method, spherical, exponential and gaussian semivariogram models were fitted to the experimental semivariogram. To select the best model, reduced average error and standard deviation of the mean reduced error were analyzed. The spatial continuity assessment at along the time was carried out by comparison of the scaled semivariograms plotted considering the data sets from each age. Exponential semivariogram model has presented the best fitting and all the dendrometric characteristics has presented spatial continuity. The evaluated models were similar for each age and the studied characteristics as well. The results obtained with this study show that the use of geostatistical procedures to evaluate the growth of the trees throughout the time is an important planning tool, allowing a better management and prediction of wood volume in the forest. |
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Cerne (Online) |
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SPATIAL CONTINUITY OF DENDROMETRIC CHARACTERISTICS IN CLONAL CULTIVATED EUCALYPTUS SP. TRHOUGHOUT THE TIMEScaled semivariogramspatial continuityforest inventorysampling techniques.The aim of this study was to evaluate the spatial continuity of the dendrometric characteristics average dominant height, volume and mean annual increment, throughout five different continuous ages. The experimental area was planted in 2003, accounting for 1,072.6 hectares. The data sets were derived from 116 permanent plots where successive forest inventory was carried out between 2006 and 2010. Using least squares weighted method, spherical, exponential and gaussian semivariogram models were fitted to the experimental semivariogram. To select the best model, reduced average error and standard deviation of the mean reduced error were analyzed. The spatial continuity assessment at along the time was carried out by comparison of the scaled semivariograms plotted considering the data sets from each age. Exponential semivariogram model has presented the best fitting and all the dendrometric characteristics has presented spatial continuity. The evaluated models were similar for each age and the studied characteristics as well. The results obtained with this study show that the use of geostatistical procedures to evaluate the growth of the trees throughout the time is an important planning tool, allowing a better management and prediction of wood volume in the forest.CERNECERNE2016-04-19info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://cerne.ufla.br/site/index.php/CERNE/article/view/1101CERNE; Vol. 21 No. 4 (2015); 527-534CERNE; v. 21 n. 4 (2015); 527-5342317-63420104-7760reponame:Cerne (Online)instname:Universidade Federal de Lavras (UFLA)instacron:UFLAenghttps://cerne.ufla.br/site/index.php/CERNE/article/view/1101/862Copyright (c) 2016 CERNEinfo:eu-repo/semantics/openAccessGuedes, Isabel Carolina de LimaMello, José Márcio deSilveira, Eduarda Martiniano de OliveiraMello, Carlos Rogério deReis, Aliny Aparecida dosGomide, Lucas Rezende2016-04-19T15:00:16Zoai:cerne.ufla.br:article/1101Revistahttps://cerne.ufla.br/site/index.php/CERNEPUBhttps://cerne.ufla.br/site/index.php/CERNE/oaicerne@dcf.ufla.br||cerne@dcf.ufla.br2317-63420104-7760opendoar:2024-05-21T19:54:24.384791Cerne (Online) - Universidade Federal de Lavras (UFLA)true |
dc.title.none.fl_str_mv |
SPATIAL CONTINUITY OF DENDROMETRIC CHARACTERISTICS IN CLONAL CULTIVATED EUCALYPTUS SP. TRHOUGHOUT THE TIME |
title |
SPATIAL CONTINUITY OF DENDROMETRIC CHARACTERISTICS IN CLONAL CULTIVATED EUCALYPTUS SP. TRHOUGHOUT THE TIME |
spellingShingle |
SPATIAL CONTINUITY OF DENDROMETRIC CHARACTERISTICS IN CLONAL CULTIVATED EUCALYPTUS SP. TRHOUGHOUT THE TIME Guedes, Isabel Carolina de Lima Scaled semivariogram spatial continuity forest inventory sampling techniques. |
title_short |
SPATIAL CONTINUITY OF DENDROMETRIC CHARACTERISTICS IN CLONAL CULTIVATED EUCALYPTUS SP. TRHOUGHOUT THE TIME |
title_full |
SPATIAL CONTINUITY OF DENDROMETRIC CHARACTERISTICS IN CLONAL CULTIVATED EUCALYPTUS SP. TRHOUGHOUT THE TIME |
title_fullStr |
SPATIAL CONTINUITY OF DENDROMETRIC CHARACTERISTICS IN CLONAL CULTIVATED EUCALYPTUS SP. TRHOUGHOUT THE TIME |
title_full_unstemmed |
SPATIAL CONTINUITY OF DENDROMETRIC CHARACTERISTICS IN CLONAL CULTIVATED EUCALYPTUS SP. TRHOUGHOUT THE TIME |
title_sort |
SPATIAL CONTINUITY OF DENDROMETRIC CHARACTERISTICS IN CLONAL CULTIVATED EUCALYPTUS SP. TRHOUGHOUT THE TIME |
author |
Guedes, Isabel Carolina de Lima |
author_facet |
Guedes, Isabel Carolina de Lima Mello, José Márcio de Silveira, Eduarda Martiniano de Oliveira Mello, Carlos Rogério de Reis, Aliny Aparecida dos Gomide, Lucas Rezende |
author_role |
author |
author2 |
Mello, José Márcio de Silveira, Eduarda Martiniano de Oliveira Mello, Carlos Rogério de Reis, Aliny Aparecida dos Gomide, Lucas Rezende |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Guedes, Isabel Carolina de Lima Mello, José Márcio de Silveira, Eduarda Martiniano de Oliveira Mello, Carlos Rogério de Reis, Aliny Aparecida dos Gomide, Lucas Rezende |
dc.subject.por.fl_str_mv |
Scaled semivariogram spatial continuity forest inventory sampling techniques. |
topic |
Scaled semivariogram spatial continuity forest inventory sampling techniques. |
description |
The aim of this study was to evaluate the spatial continuity of the dendrometric characteristics average dominant height, volume and mean annual increment, throughout five different continuous ages. The experimental area was planted in 2003, accounting for 1,072.6 hectares. The data sets were derived from 116 permanent plots where successive forest inventory was carried out between 2006 and 2010. Using least squares weighted method, spherical, exponential and gaussian semivariogram models were fitted to the experimental semivariogram. To select the best model, reduced average error and standard deviation of the mean reduced error were analyzed. The spatial continuity assessment at along the time was carried out by comparison of the scaled semivariograms plotted considering the data sets from each age. Exponential semivariogram model has presented the best fitting and all the dendrometric characteristics has presented spatial continuity. The evaluated models were similar for each age and the studied characteristics as well. The results obtained with this study show that the use of geostatistical procedures to evaluate the growth of the trees throughout the time is an important planning tool, allowing a better management and prediction of wood volume in the forest. |
publishDate |
2016 |
dc.date.none.fl_str_mv |
2016-04-19 |
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://cerne.ufla.br/site/index.php/CERNE/article/view/1101 |
url |
https://cerne.ufla.br/site/index.php/CERNE/article/view/1101 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://cerne.ufla.br/site/index.php/CERNE/article/view/1101/862 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2016 CERNE info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2016 CERNE |
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. 21 No. 4 (2015); 527-534 CERNE; v. 21 n. 4 (2015); 527-534 2317-6342 0104-7760 reponame:Cerne (Online) instname:Universidade Federal de Lavras (UFLA) instacron:UFLA |
instname_str |
Universidade Federal de Lavras (UFLA) |
instacron_str |
UFLA |
institution |
UFLA |
reponame_str |
Cerne (Online) |
collection |
Cerne (Online) |
repository.name.fl_str_mv |
Cerne (Online) - Universidade Federal de Lavras (UFLA) |
repository.mail.fl_str_mv |
cerne@dcf.ufla.br||cerne@dcf.ufla.br |
_version_ |
1799874942836146176 |