Methodological alternatives in the estimate of biomass for young individuals of bambusa genus

Detalhes bibliográficos
Autor(a) principal: Clímaco de Melo, Lara
Data de Publicação: 2015
Outros Autores: Sanquetta, Carlos Roberto, Dalla Corte, Ana Paula, Mognon, Francelo
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Bioscience journal (Online)
Texto Completo: https://seer.ufu.br/index.php/biosciencejournal/article/view/26098
Resumo: The objective of this work was to evaluate the distribution of biomass in compartments, as well as to test and select methods to estimate total biomass for the genus Bambusa. For the test of the methods were evaluated: method of estimation from allometric models (total and by compartments), application of allometric equation from literature and method that uses the volume, the density and biomass expansion factor (BEF). Were evaluated using the destructive method, 24 bamboos of the species Bambusa oldhamii Munro and Bambusa vulgaris Schrad. ex J. C. Wendl. For the estimation of biomass, were adjusted 5 models for the selection of the best one and the BEF calculated through the values of volume and density. These methodologies were compared among themselves and with the real biomass. The relationship of increased strength of independent variables with dried biomass measured was with dbh. In the adjustment of mathematical models, the best model was the 5 for the total biomass, model 1 for leaf and culm, and the model 3 for the limb. Of the three methodologies for estimating total biomass, the method of Biomass Expansion Factor demonstrated greater accuracy in estimates, being indicated, therefore, the potential use of this methodology.
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spelling Methodological alternatives in the estimate of biomass for young individuals of bambusa genus bamboosbioenergyakaike information criteriafactor of expansion of biomassallometric models.Agricultural SciencesThe objective of this work was to evaluate the distribution of biomass in compartments, as well as to test and select methods to estimate total biomass for the genus Bambusa. For the test of the methods were evaluated: method of estimation from allometric models (total and by compartments), application of allometric equation from literature and method that uses the volume, the density and biomass expansion factor (BEF). Were evaluated using the destructive method, 24 bamboos of the species Bambusa oldhamii Munro and Bambusa vulgaris Schrad. ex J. C. Wendl. For the estimation of biomass, were adjusted 5 models for the selection of the best one and the BEF calculated through the values of volume and density. These methodologies were compared among themselves and with the real biomass. The relationship of increased strength of independent variables with dried biomass measured was with dbh. In the adjustment of mathematical models, the best model was the 5 for the total biomass, model 1 for leaf and culm, and the model 3 for the limb. Of the three methodologies for estimating total biomass, the method of Biomass Expansion Factor demonstrated greater accuracy in estimates, being indicated, therefore, the potential use of this methodology.EDUFU2015-05-16info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.ufu.br/index.php/biosciencejournal/article/view/2609810.14393/BJ-v31n3a2015-26098Bioscience Journal ; Vol. 31 No. 3 (2015): May/June; 791-800Bioscience Journal ; v. 31 n. 3 (2015): May/June; 791-8001981-3163reponame:Bioscience journal (Online)instname:Universidade Federal de Uberlândia (UFU)instacron:UFUenghttps://seer.ufu.br/index.php/biosciencejournal/article/view/26098/16467Brazil; ContemporaryCopyright (c) 2015 Lara Clímaco de Melo, Carlos Roberto Sanquetta, Ana Paula Dalla Corte, Francelo Mognonhttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessClímaco de Melo, LaraSanquetta, Carlos RobertoDalla Corte, Ana PaulaMognon, Francelo2022-05-26T13:43:34Zoai:ojs.www.seer.ufu.br:article/26098Revistahttps://seer.ufu.br/index.php/biosciencejournalPUBhttps://seer.ufu.br/index.php/biosciencejournal/oaibiosciencej@ufu.br||1981-31631516-3725opendoar:2022-05-26T13:43:34Bioscience journal (Online) - Universidade Federal de Uberlândia (UFU)false
dc.title.none.fl_str_mv Methodological alternatives in the estimate of biomass for young individuals of bambusa genus
title Methodological alternatives in the estimate of biomass for young individuals of bambusa genus
spellingShingle Methodological alternatives in the estimate of biomass for young individuals of bambusa genus
Clímaco de Melo, Lara
bamboos
bioenergy
akaike information criteria
factor of expansion of biomass
allometric models.
Agricultural Sciences
title_short Methodological alternatives in the estimate of biomass for young individuals of bambusa genus
title_full Methodological alternatives in the estimate of biomass for young individuals of bambusa genus
title_fullStr Methodological alternatives in the estimate of biomass for young individuals of bambusa genus
title_full_unstemmed Methodological alternatives in the estimate of biomass for young individuals of bambusa genus
title_sort Methodological alternatives in the estimate of biomass for young individuals of bambusa genus
author Clímaco de Melo, Lara
author_facet Clímaco de Melo, Lara
Sanquetta, Carlos Roberto
Dalla Corte, Ana Paula
Mognon, Francelo
author_role author
author2 Sanquetta, Carlos Roberto
Dalla Corte, Ana Paula
Mognon, Francelo
author2_role author
author
author
dc.contributor.author.fl_str_mv Clímaco de Melo, Lara
Sanquetta, Carlos Roberto
Dalla Corte, Ana Paula
Mognon, Francelo
dc.subject.por.fl_str_mv bamboos
bioenergy
akaike information criteria
factor of expansion of biomass
allometric models.
Agricultural Sciences
topic bamboos
bioenergy
akaike information criteria
factor of expansion of biomass
allometric models.
Agricultural Sciences
description The objective of this work was to evaluate the distribution of biomass in compartments, as well as to test and select methods to estimate total biomass for the genus Bambusa. For the test of the methods were evaluated: method of estimation from allometric models (total and by compartments), application of allometric equation from literature and method that uses the volume, the density and biomass expansion factor (BEF). Were evaluated using the destructive method, 24 bamboos of the species Bambusa oldhamii Munro and Bambusa vulgaris Schrad. ex J. C. Wendl. For the estimation of biomass, were adjusted 5 models for the selection of the best one and the BEF calculated through the values of volume and density. These methodologies were compared among themselves and with the real biomass. The relationship of increased strength of independent variables with dried biomass measured was with dbh. In the adjustment of mathematical models, the best model was the 5 for the total biomass, model 1 for leaf and culm, and the model 3 for the limb. Of the three methodologies for estimating total biomass, the method of Biomass Expansion Factor demonstrated greater accuracy in estimates, being indicated, therefore, the potential use of this methodology.
publishDate 2015
dc.date.none.fl_str_mv 2015-05-16
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://seer.ufu.br/index.php/biosciencejournal/article/view/26098
10.14393/BJ-v31n3a2015-26098
url https://seer.ufu.br/index.php/biosciencejournal/article/view/26098
identifier_str_mv 10.14393/BJ-v31n3a2015-26098
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://seer.ufu.br/index.php/biosciencejournal/article/view/26098/16467
dc.rights.driver.fl_str_mv https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.coverage.none.fl_str_mv Brazil; Contemporary
dc.publisher.none.fl_str_mv EDUFU
publisher.none.fl_str_mv EDUFU
dc.source.none.fl_str_mv Bioscience Journal ; Vol. 31 No. 3 (2015): May/June; 791-800
Bioscience Journal ; v. 31 n. 3 (2015): May/June; 791-800
1981-3163
reponame:Bioscience journal (Online)
instname:Universidade Federal de Uberlândia (UFU)
instacron:UFU
instname_str Universidade Federal de Uberlândia (UFU)
instacron_str UFU
institution UFU
reponame_str Bioscience journal (Online)
collection Bioscience journal (Online)
repository.name.fl_str_mv Bioscience journal (Online) - Universidade Federal de Uberlândia (UFU)
repository.mail.fl_str_mv biosciencej@ufu.br||
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