SPATIAL CONTINUITY OF DENDROMETRIC CHARACTERISTICS IN CLONAL CULTIVATED EUCALYPTUS SP. TRHOUGHOUT THE TIME

Detalhes bibliográficos
Autor(a) principal: Guedes, Isabel Carolina de Lima
Data de Publicação: 2016
Outros Autores: Mello, José Márcio de, Silveira, Eduarda Martiniano de Oliveira, Mello, Carlos Rogério de, Reis, Aliny Aparecida dos, Gomide, Lucas Rezende
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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spelling 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
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