Simultaneous Equations to Estimate Aboveground Biomass of Pinus caribaea var . hondurensis

Detalhes bibliográficos
Autor(a) principal: Coutinho,Vinícius Morais
Data de Publicação: 2018
Outros Autores: Sanquetta,Carlos Roberto, Bittencourt,Patrícia Anjos, Silva,Samuel Alves, Proceke,Karina Henkel, Delarrmelina,Willian Macedo, Moreau,Julia
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Floresta e Ambiente
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-80872018000300117
Resumo: ABSTRACT This study aimed to develop equations to predict the biomass of trunks, branches, needles and total individual biomass for Pinus caribaea var. hondurensis . A simultaneous equation system was also adjusted. Twenty (20) trees from the experimental area of the State University of Southwest Bahia (UESB), Vitória da Conquista, Bahia, Brazil, were measured and weighed, while 15 traditional models were tested for dry biomass modeling. Of the models tested for total aboveground biomass, trunk biomass and pine needle/leaf biomass, models 9, 9 and 6, respectively obtained the most accurate adjustments. The models with the best performance for branch biomass were model 2 and logistics. The use of the adjustment method for simultaneous equations assured properties of additivity between biomass compartments and total biomass, preventing distortions between the sum of the individual equations for each compartment and the total equation.
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spelling Simultaneous Equations to Estimate Aboveground Biomass of Pinus caribaea var . hondurensissimultaneous adjustmentaboveground biomassmodelingABSTRACT This study aimed to develop equations to predict the biomass of trunks, branches, needles and total individual biomass for Pinus caribaea var. hondurensis . A simultaneous equation system was also adjusted. Twenty (20) trees from the experimental area of the State University of Southwest Bahia (UESB), Vitória da Conquista, Bahia, Brazil, were measured and weighed, while 15 traditional models were tested for dry biomass modeling. Of the models tested for total aboveground biomass, trunk biomass and pine needle/leaf biomass, models 9, 9 and 6, respectively obtained the most accurate adjustments. The models with the best performance for branch biomass were model 2 and logistics. The use of the adjustment method for simultaneous equations assured properties of additivity between biomass compartments and total biomass, preventing distortions between the sum of the individual equations for each compartment and the total equation.Instituto de Florestas da Universidade Federal Rural do Rio de Janeiro2018-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-80872018000300117Floresta e Ambiente v.25 n.3 2018reponame:Floresta e Ambienteinstname:Universidade Federal do Rio de Janeiro (UFRJ)instacron:UFRJ10.1590/2179-8087.045216info:eu-repo/semantics/openAccessCoutinho,Vinícius MoraisSanquetta,Carlos RobertoBittencourt,Patrícia AnjosSilva,Samuel AlvesProceke,Karina HenkelDelarrmelina,Willian MacedoMoreau,Juliaeng2018-07-23T00:00:00Zoai:scielo:S2179-80872018000300117Revistahttps://www.floram.org/PUBhttps://old.scielo.br/oai/scielo-oai.phpfloramjournal@gmail.com||floram@ufrrj.br||2179-80871415-0980opendoar:2018-07-23T00:00Floresta e Ambiente - Universidade Federal do Rio de Janeiro (UFRJ)false
dc.title.none.fl_str_mv Simultaneous Equations to Estimate Aboveground Biomass of Pinus caribaea var . hondurensis
title Simultaneous Equations to Estimate Aboveground Biomass of Pinus caribaea var . hondurensis
spellingShingle Simultaneous Equations to Estimate Aboveground Biomass of Pinus caribaea var . hondurensis
Coutinho,Vinícius Morais
simultaneous adjustment
aboveground biomass
modeling
title_short Simultaneous Equations to Estimate Aboveground Biomass of Pinus caribaea var . hondurensis
title_full Simultaneous Equations to Estimate Aboveground Biomass of Pinus caribaea var . hondurensis
title_fullStr Simultaneous Equations to Estimate Aboveground Biomass of Pinus caribaea var . hondurensis
title_full_unstemmed Simultaneous Equations to Estimate Aboveground Biomass of Pinus caribaea var . hondurensis
title_sort Simultaneous Equations to Estimate Aboveground Biomass of Pinus caribaea var . hondurensis
author Coutinho,Vinícius Morais
author_facet Coutinho,Vinícius Morais
Sanquetta,Carlos Roberto
Bittencourt,Patrícia Anjos
Silva,Samuel Alves
Proceke,Karina Henkel
Delarrmelina,Willian Macedo
Moreau,Julia
author_role author
author2 Sanquetta,Carlos Roberto
Bittencourt,Patrícia Anjos
Silva,Samuel Alves
Proceke,Karina Henkel
Delarrmelina,Willian Macedo
Moreau,Julia
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Coutinho,Vinícius Morais
Sanquetta,Carlos Roberto
Bittencourt,Patrícia Anjos
Silva,Samuel Alves
Proceke,Karina Henkel
Delarrmelina,Willian Macedo
Moreau,Julia
dc.subject.por.fl_str_mv simultaneous adjustment
aboveground biomass
modeling
topic simultaneous adjustment
aboveground biomass
modeling
description ABSTRACT This study aimed to develop equations to predict the biomass of trunks, branches, needles and total individual biomass for Pinus caribaea var. hondurensis . A simultaneous equation system was also adjusted. Twenty (20) trees from the experimental area of the State University of Southwest Bahia (UESB), Vitória da Conquista, Bahia, Brazil, were measured and weighed, while 15 traditional models were tested for dry biomass modeling. Of the models tested for total aboveground biomass, trunk biomass and pine needle/leaf biomass, models 9, 9 and 6, respectively obtained the most accurate adjustments. The models with the best performance for branch biomass were model 2 and logistics. The use of the adjustment method for simultaneous equations assured properties of additivity between biomass compartments and total biomass, preventing distortions between the sum of the individual equations for each compartment and the total equation.
publishDate 2018
dc.date.none.fl_str_mv 2018-01-01
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=S2179-80872018000300117
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-80872018000300117
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/2179-8087.045216
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 de Florestas da Universidade Federal Rural do Rio de Janeiro
publisher.none.fl_str_mv Instituto de Florestas da Universidade Federal Rural do Rio de Janeiro
dc.source.none.fl_str_mv Floresta e Ambiente v.25 n.3 2018
reponame:Floresta e Ambiente
instname:Universidade Federal do Rio de Janeiro (UFRJ)
instacron:UFRJ
instname_str Universidade Federal do Rio de Janeiro (UFRJ)
instacron_str UFRJ
institution UFRJ
reponame_str Floresta e Ambiente
collection Floresta e Ambiente
repository.name.fl_str_mv Floresta e Ambiente - Universidade Federal do Rio de Janeiro (UFRJ)
repository.mail.fl_str_mv floramjournal@gmail.com||floram@ufrrj.br||
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