Allometric models to biomass in restoration areas in the Atlantic rain forest
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , , , , |
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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Floresta e Ambiente |
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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|| |
_version_ |
1750128142023917568 |