Equations for estimating biomass of aereal compartementes of Eucalyptus benthamii
Autor(a) principal: | |
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Data de Publicação: | 2004 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Pesquisa Florestal Brasileira (Online) |
Texto Completo: | https://pfb.cnpf.embrapa.br/pfb/index.php/pfb/article/view/1588 |
Resumo: | This paper presents the results of the adjustment of equations for estimating biomass of aerial compartments of Eucalyptus benthamii trees. The percentile allocation of biomass, in the compartments wood, bark, leaves and branches is also presented. The trees of Eucalyptus benthamii were sampled from stands of 12, 24, 36 and 48 months of age, planted at the spacing 3 m x 2 m, in the region of Guarapuava-PR. For the compartments considered, the generalized logarithmic model gave better indices of adjustment for branches and, together with logarithmic combined variable, the minor error for bark variable. Leaves and wood had minor error with model lnY=b0 +b1*lnDBH and logarithmic combined variable, respectively. The allocation of biomass in the different compartments was differentiated for each age. In the age of 12 months the greater percentile of biomass was in the leaves. However in the age of 48 months, wood had the greater percentage of biomass. The biomass allocation had the following ratios, respectively, for wood, bark, branches and leaves, 33, 3, 29 and 35% for the age of 24 months, 51, 5, 25 and 19% for the age of 24 months, 63, 5, 18 and 14% for the age of 36 months and 71, 7, 15 and 7% for the age of 48 months. |
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Equations for estimating biomass of aereal compartementes of Eucalyptus benthamiiAlocação de biomassa e ajuste de equações para estimativa de biomassa em compartimentos aéreos de Eucalyptus benthamiiAgeModelVariableIdadeModelosVariávelThis paper presents the results of the adjustment of equations for estimating biomass of aerial compartments of Eucalyptus benthamii trees. The percentile allocation of biomass, in the compartments wood, bark, leaves and branches is also presented. The trees of Eucalyptus benthamii were sampled from stands of 12, 24, 36 and 48 months of age, planted at the spacing 3 m x 2 m, in the region of Guarapuava-PR. For the compartments considered, the generalized logarithmic model gave better indices of adjustment for branches and, together with logarithmic combined variable, the minor error for bark variable. Leaves and wood had minor error with model lnY=b0 +b1*lnDBH and logarithmic combined variable, respectively. The allocation of biomass in the different compartments was differentiated for each age. In the age of 12 months the greater percentile of biomass was in the leaves. However in the age of 48 months, wood had the greater percentage of biomass. The biomass allocation had the following ratios, respectively, for wood, bark, branches and leaves, 33, 3, 29 and 35% for the age of 24 months, 51, 5, 25 and 19% for the age of 24 months, 63, 5, 18 and 14% for the age of 36 months and 71, 7, 15 and 7% for the age of 48 months.Este trabalho tem por objetivo apresentar os resultados do ajuste de modelos para determinação da biomassa seca de compartimentos aéreos e a alocação percentual de biomassa nos compartimentos madeira, casca, folhas e galhos em árvores de Eucalyptus benthamii de 12, 24, 36 e 48 meses de idade e plantios com espaçamento 3 m x 2 m, no município de Guarapuava-PR. Para os compartimentos considerados, o modelo logarítmico generalizado foi de melhor índice de ajuste para a variável galho e, juntamente com o modelo variável, combinada logarítmica, o de menor erro para casca. Com relação aos compartimentos folha e madeira, foi mais adequado o uso do modelo lnY=b 0 +b 1 *lnDAP e variável combinada logarítmica, respectivamente. A alocação de biomassa foi diferenciada para cada idade. Na idade de 12 meses, o compartimento folhas acumulou maior percentual de biomassa, já na idade de 48 meses, o compartimento madeira ficou com grande percentual da biomassa. A alocação proporcional de biomassa obtida, respectivamente, para madeira, casca, galhos e folhas, foi de 33, 3, 29 e 35% para a idade de 24 meses, 51, 5, 25 e 19% para a idade de 24 meses, 63, 5, 18 e 14% para a idade de 36 meses e de 71, 7, 15 e 7% para a idade de 48 meses.Embrapa Florestas2004-12-30info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://pfb.cnpf.embrapa.br/pfb/index.php/pfb/article/view/1588Pesquisa Florestal Brasileira; n. 49 (2004): jul./dez.; 83-95Pesquisa Florestal Brasileira; No. 49 (2004): jul./dez.; 83-951983-26051809-3647reponame:Pesquisa Florestal Brasileira (Online)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPAporhttps://pfb.cnpf.embrapa.br/pfb/index.php/pfb/article/view/1588/630Silva, Helton Damin daFerreira, Carlos AlbertoCorrêa, Robson SchaffBellote, Antonio Francisco JuradoTussolini, Elson Luizinfo:eu-repo/semantics/openAccess2018-03-22T16:21:17Zoai:pfb.cnpf.embrapa.br/pfb:article/1588Revistahttps://pfb.cnpf.embrapa.br/pfb/index.php/pfb/PUBhttps://pfb.cnpf.embrapa.br/pfb/index.php/pfb/oaipfb@embrapa.br || revista.pfb@gmail.com || patricia.mattos@embrapa.br1983-26051809-3647opendoar:2018-03-22T16:21:17Pesquisa Florestal Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false |
dc.title.none.fl_str_mv |
Equations for estimating biomass of aereal compartementes of Eucalyptus benthamii Alocação de biomassa e ajuste de equações para estimativa de biomassa em compartimentos aéreos de Eucalyptus benthamii |
title |
Equations for estimating biomass of aereal compartementes of Eucalyptus benthamii |
spellingShingle |
Equations for estimating biomass of aereal compartementes of Eucalyptus benthamii Silva, Helton Damin da Age Model Variable Idade Modelos Variável |
title_short |
Equations for estimating biomass of aereal compartementes of Eucalyptus benthamii |
title_full |
Equations for estimating biomass of aereal compartementes of Eucalyptus benthamii |
title_fullStr |
Equations for estimating biomass of aereal compartementes of Eucalyptus benthamii |
title_full_unstemmed |
Equations for estimating biomass of aereal compartementes of Eucalyptus benthamii |
title_sort |
Equations for estimating biomass of aereal compartementes of Eucalyptus benthamii |
author |
Silva, Helton Damin da |
author_facet |
Silva, Helton Damin da Ferreira, Carlos Alberto Corrêa, Robson Schaff Bellote, Antonio Francisco Jurado Tussolini, Elson Luiz |
author_role |
author |
author2 |
Ferreira, Carlos Alberto Corrêa, Robson Schaff Bellote, Antonio Francisco Jurado Tussolini, Elson Luiz |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Silva, Helton Damin da Ferreira, Carlos Alberto Corrêa, Robson Schaff Bellote, Antonio Francisco Jurado Tussolini, Elson Luiz |
dc.subject.por.fl_str_mv |
Age Model Variable Idade Modelos Variável |
topic |
Age Model Variable Idade Modelos Variável |
description |
This paper presents the results of the adjustment of equations for estimating biomass of aerial compartments of Eucalyptus benthamii trees. The percentile allocation of biomass, in the compartments wood, bark, leaves and branches is also presented. The trees of Eucalyptus benthamii were sampled from stands of 12, 24, 36 and 48 months of age, planted at the spacing 3 m x 2 m, in the region of Guarapuava-PR. For the compartments considered, the generalized logarithmic model gave better indices of adjustment for branches and, together with logarithmic combined variable, the minor error for bark variable. Leaves and wood had minor error with model lnY=b0 +b1*lnDBH and logarithmic combined variable, respectively. The allocation of biomass in the different compartments was differentiated for each age. In the age of 12 months the greater percentile of biomass was in the leaves. However in the age of 48 months, wood had the greater percentage of biomass. The biomass allocation had the following ratios, respectively, for wood, bark, branches and leaves, 33, 3, 29 and 35% for the age of 24 months, 51, 5, 25 and 19% for the age of 24 months, 63, 5, 18 and 14% for the age of 36 months and 71, 7, 15 and 7% for the age of 48 months. |
publishDate |
2004 |
dc.date.none.fl_str_mv |
2004-12-30 |
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://pfb.cnpf.embrapa.br/pfb/index.php/pfb/article/view/1588 |
url |
https://pfb.cnpf.embrapa.br/pfb/index.php/pfb/article/view/1588 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://pfb.cnpf.embrapa.br/pfb/index.php/pfb/article/view/1588/630 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Embrapa Florestas |
publisher.none.fl_str_mv |
Embrapa Florestas |
dc.source.none.fl_str_mv |
Pesquisa Florestal Brasileira; n. 49 (2004): jul./dez.; 83-95 Pesquisa Florestal Brasileira; No. 49 (2004): jul./dez.; 83-95 1983-2605 1809-3647 reponame:Pesquisa Florestal Brasileira (Online) instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa) instacron:EMBRAPA |
instname_str |
Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
instacron_str |
EMBRAPA |
institution |
EMBRAPA |
reponame_str |
Pesquisa Florestal Brasileira (Online) |
collection |
Pesquisa Florestal Brasileira (Online) |
repository.name.fl_str_mv |
Pesquisa Florestal Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
repository.mail.fl_str_mv |
pfb@embrapa.br || revista.pfb@gmail.com || patricia.mattos@embrapa.br |
_version_ |
1783370936618057728 |