Multivariate association of wood basic density with site and plantation variables in Eucalyptus spp.
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1139/cjfr-2019-0220 http://hdl.handle.net/11449/201527 |
Resumo: | Wood density, an important parameter for evaluating forest biomass productivity and wood product quality control, is influenced by a complex combination of variables of forest plantations, including environmental conditions and the management practices adopted. In this paper, we demonstrate that three site variables (annual rainfall, temperature, and soil texture) and 10 plantation variables (e.g., age and genetic material) are associated with basic wood density (evaluated in two situations: with and without bark) in 936 trees of different species of Eucalyptus L’Hér across five distinct edaphoclimatic regions in Brazil. A canonical correlation analysis was used to identify the most contributory variables affecting wood density. The variables globally associated with high basic wood densities were, in order of importance, the genetic material and area per tree (both under direct control of plantation managers), as well as mean annual temperature and soil texture of the site. These results confirmed the advantage of using clonal material (instead of seedling origin material) planted in larger spacings in sites with higher mean annual temperatures and clayey soils to obtain higher basic wood densities. Conversely, low basic wood densities were associated with high-productivity sites, higher rainfall, and plantations with a higher basal area per stem in second rotation. |
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Repositório Institucional da UNESP |
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Multivariate association of wood basic density with site and plantation variables in Eucalyptus spp.Canonical correlation analysisClimatic variablesEucalyptus spp.Plantation variablesWood densityWood density, an important parameter for evaluating forest biomass productivity and wood product quality control, is influenced by a complex combination of variables of forest plantations, including environmental conditions and the management practices adopted. In this paper, we demonstrate that three site variables (annual rainfall, temperature, and soil texture) and 10 plantation variables (e.g., age and genetic material) are associated with basic wood density (evaluated in two situations: with and without bark) in 936 trees of different species of Eucalyptus L’Hér across five distinct edaphoclimatic regions in Brazil. A canonical correlation analysis was used to identify the most contributory variables affecting wood density. The variables globally associated with high basic wood densities were, in order of importance, the genetic material and area per tree (both under direct control of plantation managers), as well as mean annual temperature and soil texture of the site. These results confirmed the advantage of using clonal material (instead of seedling origin material) planted in larger spacings in sites with higher mean annual temperatures and clayey soils to obtain higher basic wood densities. Conversely, low basic wood densities were associated with high-productivity sites, higher rainfall, and plantations with a higher basal area per stem in second rotation.Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Department of Rural Engineering College of Agricultural Sciences São Paulo State University (Unesp)Department of Bioprocesses and Biotechnology College of Agricultural Sciences São Paulo State University (Unesp)Department of Rural Engineering College of Agricultural Sciences São Paulo State University (Unesp)Department of Bioprocesses and Biotechnology College of Agricultural Sciences São Paulo State University (Unesp)CNPq: 140299/2014-9Universidade Estadual Paulista (Unesp)Ribeiro, Maria Dolores Dos Santos Barzotto [UNESP]Rodrigues, Sergio Augusto [UNESP]Ballarin, Adriano Wagner [UNESP]2020-12-12T02:34:53Z2020-12-12T02:34:53Z2020-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article193-202http://dx.doi.org/10.1139/cjfr-2019-0220Canadian Journal of Forest Research, v. 50, n. 2, p. 193-202, 2020.1208-60370045-5067http://hdl.handle.net/11449/20152710.1139/cjfr-2019-02202-s2.0-85079024459Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengCanadian Journal of Forest Researchinfo:eu-repo/semantics/openAccess2024-04-30T14:01:19Zoai:repositorio.unesp.br:11449/201527Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T19:04:48.328866Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Multivariate association of wood basic density with site and plantation variables in Eucalyptus spp. |
title |
Multivariate association of wood basic density with site and plantation variables in Eucalyptus spp. |
spellingShingle |
Multivariate association of wood basic density with site and plantation variables in Eucalyptus spp. Ribeiro, Maria Dolores Dos Santos Barzotto [UNESP] Canonical correlation analysis Climatic variables Eucalyptus spp. Plantation variables Wood density |
title_short |
Multivariate association of wood basic density with site and plantation variables in Eucalyptus spp. |
title_full |
Multivariate association of wood basic density with site and plantation variables in Eucalyptus spp. |
title_fullStr |
Multivariate association of wood basic density with site and plantation variables in Eucalyptus spp. |
title_full_unstemmed |
Multivariate association of wood basic density with site and plantation variables in Eucalyptus spp. |
title_sort |
Multivariate association of wood basic density with site and plantation variables in Eucalyptus spp. |
author |
Ribeiro, Maria Dolores Dos Santos Barzotto [UNESP] |
author_facet |
Ribeiro, Maria Dolores Dos Santos Barzotto [UNESP] Rodrigues, Sergio Augusto [UNESP] Ballarin, Adriano Wagner [UNESP] |
author_role |
author |
author2 |
Rodrigues, Sergio Augusto [UNESP] Ballarin, Adriano Wagner [UNESP] |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) |
dc.contributor.author.fl_str_mv |
Ribeiro, Maria Dolores Dos Santos Barzotto [UNESP] Rodrigues, Sergio Augusto [UNESP] Ballarin, Adriano Wagner [UNESP] |
dc.subject.por.fl_str_mv |
Canonical correlation analysis Climatic variables Eucalyptus spp. Plantation variables Wood density |
topic |
Canonical correlation analysis Climatic variables Eucalyptus spp. Plantation variables Wood density |
description |
Wood density, an important parameter for evaluating forest biomass productivity and wood product quality control, is influenced by a complex combination of variables of forest plantations, including environmental conditions and the management practices adopted. In this paper, we demonstrate that three site variables (annual rainfall, temperature, and soil texture) and 10 plantation variables (e.g., age and genetic material) are associated with basic wood density (evaluated in two situations: with and without bark) in 936 trees of different species of Eucalyptus L’Hér across five distinct edaphoclimatic regions in Brazil. A canonical correlation analysis was used to identify the most contributory variables affecting wood density. The variables globally associated with high basic wood densities were, in order of importance, the genetic material and area per tree (both under direct control of plantation managers), as well as mean annual temperature and soil texture of the site. These results confirmed the advantage of using clonal material (instead of seedling origin material) planted in larger spacings in sites with higher mean annual temperatures and clayey soils to obtain higher basic wood densities. Conversely, low basic wood densities were associated with high-productivity sites, higher rainfall, and plantations with a higher basal area per stem in second rotation. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-12-12T02:34:53Z 2020-12-12T02:34:53Z 2020-01-01 |
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 |
http://dx.doi.org/10.1139/cjfr-2019-0220 Canadian Journal of Forest Research, v. 50, n. 2, p. 193-202, 2020. 1208-6037 0045-5067 http://hdl.handle.net/11449/201527 10.1139/cjfr-2019-0220 2-s2.0-85079024459 |
url |
http://dx.doi.org/10.1139/cjfr-2019-0220 http://hdl.handle.net/11449/201527 |
identifier_str_mv |
Canadian Journal of Forest Research, v. 50, n. 2, p. 193-202, 2020. 1208-6037 0045-5067 10.1139/cjfr-2019-0220 2-s2.0-85079024459 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Canadian Journal of Forest Research |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
193-202 |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808129016634277888 |