Allometric models for estimating the phytomass of a secondary Atlantic Forest area of southeastern Brazil

Detalhes bibliográficos
Autor(a) principal: Burger,Déborah Moreira
Data de Publicação: 2008
Outros Autores: Delitti,Welington Braz Carvalho
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Biota Neotropica
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1676-06032008000400012
Resumo: The purpose of this study was to develop and validate equations to estimate the aboveground phytomass of a 30 years old plot of Atlantic Forest. In two plots of 100 m², a total of 82 trees were cut down at ground level. For each tree, height and diameter were measured. Leaves and woody material were separated in order to determine their fresh weights in field conditions. Samples of each fraction were oven dried at 80 °C to constant weight to determine their dry weight. Tree data were divided into two random samples. One sample was used for the development of the regression equations, and the other for validation. The models were developed using single linear regression analysis, where the dependent variable was the dry mass, and the independent variables were height (h), diameter (d) and d²h. The validation was carried out using Pearson correlation coefficient, paired t-Student test and standard error of estimation. The best equations to estimate aboveground phytomass were: lnDW = -3.068+2.522lnd (r² = 0.91; s y/x = 0.67) and lnDW = -3.676+0.951ln d²h (r² = 0.94; s y/x = 0.56).
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spelling Allometric models for estimating the phytomass of a secondary Atlantic Forest area of southeastern Brazilbiomassallometrycarbonsecondary Atlantic Forestforest biomass estimationThe purpose of this study was to develop and validate equations to estimate the aboveground phytomass of a 30 years old plot of Atlantic Forest. In two plots of 100 m², a total of 82 trees were cut down at ground level. For each tree, height and diameter were measured. Leaves and woody material were separated in order to determine their fresh weights in field conditions. Samples of each fraction were oven dried at 80 °C to constant weight to determine their dry weight. Tree data were divided into two random samples. One sample was used for the development of the regression equations, and the other for validation. The models were developed using single linear regression analysis, where the dependent variable was the dry mass, and the independent variables were height (h), diameter (d) and d²h. The validation was carried out using Pearson correlation coefficient, paired t-Student test and standard error of estimation. The best equations to estimate aboveground phytomass were: lnDW = -3.068+2.522lnd (r² = 0.91; s y/x = 0.67) and lnDW = -3.676+0.951ln d²h (r² = 0.94; s y/x = 0.56).Instituto Virtual da Biodiversidade | BIOTA - FAPESP2008-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1676-06032008000400012Biota Neotropica v.8 n.4 2008reponame:Biota Neotropicainstname:Instituto Virtual da Biodiversidade (BIOTA-FAPESP)instacron:BIOTA - FAPESP10.1590/S1676-06032008000400012info:eu-repo/semantics/openAccessBurger,Déborah MoreiraDelitti,Welington Braz Carvalhoeng2009-03-19T00:00:00Zoai:scielo:S1676-06032008000400012Revistahttps://www.biotaneotropica.org.br/v20n1/pt/https://old.scielo.br/oai/scielo-oai.php||juliosa@unifap.br1676-06111676-0611opendoar:2009-03-19T00:00Biota Neotropica - Instituto Virtual da Biodiversidade (BIOTA-FAPESP)false
dc.title.none.fl_str_mv Allometric models for estimating the phytomass of a secondary Atlantic Forest area of southeastern Brazil
title Allometric models for estimating the phytomass of a secondary Atlantic Forest area of southeastern Brazil
spellingShingle Allometric models for estimating the phytomass of a secondary Atlantic Forest area of southeastern Brazil
Burger,Déborah Moreira
biomass
allometry
carbon
secondary Atlantic Forest
forest biomass estimation
title_short Allometric models for estimating the phytomass of a secondary Atlantic Forest area of southeastern Brazil
title_full Allometric models for estimating the phytomass of a secondary Atlantic Forest area of southeastern Brazil
title_fullStr Allometric models for estimating the phytomass of a secondary Atlantic Forest area of southeastern Brazil
title_full_unstemmed Allometric models for estimating the phytomass of a secondary Atlantic Forest area of southeastern Brazil
title_sort Allometric models for estimating the phytomass of a secondary Atlantic Forest area of southeastern Brazil
author Burger,Déborah Moreira
author_facet Burger,Déborah Moreira
Delitti,Welington Braz Carvalho
author_role author
author2 Delitti,Welington Braz Carvalho
author2_role author
dc.contributor.author.fl_str_mv Burger,Déborah Moreira
Delitti,Welington Braz Carvalho
dc.subject.por.fl_str_mv biomass
allometry
carbon
secondary Atlantic Forest
forest biomass estimation
topic biomass
allometry
carbon
secondary Atlantic Forest
forest biomass estimation
description The purpose of this study was to develop and validate equations to estimate the aboveground phytomass of a 30 years old plot of Atlantic Forest. In two plots of 100 m², a total of 82 trees were cut down at ground level. For each tree, height and diameter were measured. Leaves and woody material were separated in order to determine their fresh weights in field conditions. Samples of each fraction were oven dried at 80 °C to constant weight to determine their dry weight. Tree data were divided into two random samples. One sample was used for the development of the regression equations, and the other for validation. The models were developed using single linear regression analysis, where the dependent variable was the dry mass, and the independent variables were height (h), diameter (d) and d²h. The validation was carried out using Pearson correlation coefficient, paired t-Student test and standard error of estimation. The best equations to estimate aboveground phytomass were: lnDW = -3.068+2.522lnd (r² = 0.91; s y/x = 0.67) and lnDW = -3.676+0.951ln d²h (r² = 0.94; s y/x = 0.56).
publishDate 2008
dc.date.none.fl_str_mv 2008-12-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1676-06032008000400012
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1676-06032008000400012
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S1676-06032008000400012
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Instituto Virtual da Biodiversidade | BIOTA - FAPESP
publisher.none.fl_str_mv Instituto Virtual da Biodiversidade | BIOTA - FAPESP
dc.source.none.fl_str_mv Biota Neotropica v.8 n.4 2008
reponame:Biota Neotropica
instname:Instituto Virtual da Biodiversidade (BIOTA-FAPESP)
instacron:BIOTA - FAPESP
instname_str Instituto Virtual da Biodiversidade (BIOTA-FAPESP)
instacron_str BIOTA - FAPESP
institution BIOTA - FAPESP
reponame_str Biota Neotropica
collection Biota Neotropica
repository.name.fl_str_mv Biota Neotropica - Instituto Virtual da Biodiversidade (BIOTA-FAPESP)
repository.mail.fl_str_mv ||juliosa@unifap.br
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