Allometric models to biomass in restoration areas in the Atlantic rain forest

Detalhes bibliográficos
Autor(a) principal: Araújo,Emanuel José Gomes de
Data de Publicação: 2018
Outros Autores: Loureiro,Gabrielle Hambrecht, Sanquetta,Carlos Roberto, Sanquetta,Mateus Niroh Inoue, Corte,Ana Paula Dalla, Péllico Netto,Sylvio, Behling,Alexandre
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Floresta e Ambiente
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-80872018000100115
Resumo: ABSTRACT The objective of the study was to present mathematical models and strategies for fitting equations to estimate dry biomass for tree species in forest restoration areas. The presence of outliers was analyzed in each fitted equation using values of the matrix H, leverage points, means of standard and studentized residuals, and of influential points through DFFITS, DFBETAS and COOK distance values. Furthermore, the normality, homoscedasticity and independence of residuals were checked. The accuracy of the fitted equations was evaluated by means of the R2adj., Syx, analysis of residuals, and AIC and BIC criteria. The results showed that the model for estimating dry biomass as a function of the variables Dc2, DBH2, Hc2 and DBH provides the more accurate solution, with Syx = 40.91% and R2adj. = 0.92. We concluded that the performance of this equation improves when adjusted to data stratified by classes of height-diameter ratio, which reduces the value of the estimated error.
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spelling Allometric models to biomass in restoration areas in the Atlantic rain forestmodelingdry weightcarbonallometryABSTRACT The objective of the study was to present mathematical models and strategies for fitting equations to estimate dry biomass for tree species in forest restoration areas. The presence of outliers was analyzed in each fitted equation using values of the matrix H, leverage points, means of standard and studentized residuals, and of influential points through DFFITS, DFBETAS and COOK distance values. Furthermore, the normality, homoscedasticity and independence of residuals were checked. The accuracy of the fitted equations was evaluated by means of the R2adj., Syx, analysis of residuals, and AIC and BIC criteria. The results showed that the model for estimating dry biomass as a function of the variables Dc2, DBH2, Hc2 and DBH provides the more accurate solution, with Syx = 40.91% and R2adj. = 0.92. We concluded that the performance of this equation improves when adjusted to data stratified by classes of height-diameter ratio, which reduces the value of the estimated error.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=S2179-80872018000100115Floresta e Ambiente v.25 n.1 2018reponame:Floresta e Ambienteinstname:Universidade Federal do Rio de Janeiro (UFRJ)instacron:UFRJ10.1590/2179-8087.019316info:eu-repo/semantics/openAccessAraújo,Emanuel José Gomes deLoureiro,Gabrielle HambrechtSanquetta,Carlos RobertoSanquetta,Mateus Niroh InoueCorte,Ana Paula DallaPéllico Netto,SylvioBehling,Alexandreeng2018-03-06T00:00:00Zoai:scielo:S2179-80872018000100115Revistahttps://www.floram.org/PUBhttps://old.scielo.br/oai/scielo-oai.phpfloramjournal@gmail.com||floram@ufrrj.br||2179-80871415-0980opendoar:2018-03-06T00:00Floresta e Ambiente - Universidade Federal do Rio de Janeiro (UFRJ)false
dc.title.none.fl_str_mv Allometric models to biomass in restoration areas in the Atlantic rain forest
title Allometric models to biomass in restoration areas in the Atlantic rain forest
spellingShingle Allometric models to biomass in restoration areas in the Atlantic rain forest
Araújo,Emanuel José Gomes de
modeling
dry weight
carbon
allometry
title_short Allometric models to biomass in restoration areas in the Atlantic rain forest
title_full Allometric models to biomass in restoration areas in the Atlantic rain forest
title_fullStr Allometric models to biomass in restoration areas in the Atlantic rain forest
title_full_unstemmed Allometric models to biomass in restoration areas in the Atlantic rain forest
title_sort Allometric models to biomass in restoration areas in the Atlantic rain forest
author Araújo,Emanuel José Gomes de
author_facet Araújo,Emanuel José Gomes de
Loureiro,Gabrielle Hambrecht
Sanquetta,Carlos Roberto
Sanquetta,Mateus Niroh Inoue
Corte,Ana Paula Dalla
Péllico Netto,Sylvio
Behling,Alexandre
author_role author
author2 Loureiro,Gabrielle Hambrecht
Sanquetta,Carlos Roberto
Sanquetta,Mateus Niroh Inoue
Corte,Ana Paula Dalla
Péllico Netto,Sylvio
Behling,Alexandre
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Araújo,Emanuel José Gomes de
Loureiro,Gabrielle Hambrecht
Sanquetta,Carlos Roberto
Sanquetta,Mateus Niroh Inoue
Corte,Ana Paula Dalla
Péllico Netto,Sylvio
Behling,Alexandre
dc.subject.por.fl_str_mv modeling
dry weight
carbon
allometry
topic modeling
dry weight
carbon
allometry
description ABSTRACT The objective of the study was to present mathematical models and strategies for fitting equations to estimate dry biomass for tree species in forest restoration areas. The presence of outliers was analyzed in each fitted equation using values of the matrix H, leverage points, means of standard and studentized residuals, and of influential points through DFFITS, DFBETAS and COOK distance values. Furthermore, the normality, homoscedasticity and independence of residuals were checked. The accuracy of the fitted equations was evaluated by means of the R2adj., Syx, analysis of residuals, and AIC and BIC criteria. The results showed that the model for estimating dry biomass as a function of the variables Dc2, DBH2, Hc2 and DBH provides the more accurate solution, with Syx = 40.91% and R2adj. = 0.92. We concluded that the performance of this equation improves when adjusted to data stratified by classes of height-diameter ratio, which reduces the value of the estimated error.
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=S2179-80872018000100115
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-80872018000100115
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/2179-8087.019316
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.1 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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