Leaf Area Estimation of Palicourea racemosa (Aubl.) Borhidi from Linear Measurements

Detalhes bibliográficos
Autor(a) principal: Ribeiro,João Everthon da Silva
Data de Publicação: 2020
Outros Autores: Figueiredo,Francisco Romário Andrade, Coêlho,Ester dos Santos, Pereira,Walter Esfrain, Albuquerque,Manoel Bandeira de
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Floresta e Ambiente
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-80872020000400101
Resumo: Abstract Estimating leaf area is essential to evaluate vegetal growth. Our study sought to obtain statistical models to allow the leaf area estimation of Palicourea racemosa, considering its length (L) and width (W). For such purpose, we collected 200 leaves of this species in the State Park Mata do Pau-Ferro, in the municipality of Areia, Paraíba, Northeast of Brazil. The regression models used were: linear, linear without intercept, power and exponential. The choice of the best equation was based on the values of the coefficient of determination (R2), root mean square error (RMSE), Akaike information criterion (AIC), Willmott concordance index (d) and BIAS ratio. All linear and power models may be used to measure the P. racemosa leaf area; however, the power model LA = 0 . 609 * ( L . W ) 0 . 995 is the most recommended to estimate this species’ leaf area.
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spelling Leaf Area Estimation of Palicourea racemosa (Aubl.) Borhidi from Linear Measurementsbiometrymodelingnon-destructive methodleaf dimensionRubiaceaeAbstract Estimating leaf area is essential to evaluate vegetal growth. Our study sought to obtain statistical models to allow the leaf area estimation of Palicourea racemosa, considering its length (L) and width (W). For such purpose, we collected 200 leaves of this species in the State Park Mata do Pau-Ferro, in the municipality of Areia, Paraíba, Northeast of Brazil. The regression models used were: linear, linear without intercept, power and exponential. The choice of the best equation was based on the values of the coefficient of determination (R2), root mean square error (RMSE), Akaike information criterion (AIC), Willmott concordance index (d) and BIAS ratio. All linear and power models may be used to measure the P. racemosa leaf area; however, the power model LA = 0 . 609 * ( L . W ) 0 . 995 is the most recommended to estimate this species’ leaf area.Instituto de Florestas da Universidade Federal Rural do Rio de Janeiro2020-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-80872020000400101Floresta e Ambiente v.27 n.4 2020reponame:Floresta e Ambienteinstname:Universidade Federal do Rio de Janeiro (UFRJ)instacron:UFRJ10.1590/2179-8087.010518info:eu-repo/semantics/openAccessRibeiro,João Everthon da SilvaFigueiredo,Francisco Romário AndradeCoêlho,Ester dos SantosPereira,Walter EsfrainAlbuquerque,Manoel Bandeira deeng2020-08-05T00:00:00Zoai:scielo:S2179-80872020000400101Revistahttps://www.floram.org/PUBhttps://old.scielo.br/oai/scielo-oai.phpfloramjournal@gmail.com||floram@ufrrj.br||2179-80871415-0980opendoar:2020-08-05T00:00Floresta e Ambiente - Universidade Federal do Rio de Janeiro (UFRJ)false
dc.title.none.fl_str_mv Leaf Area Estimation of Palicourea racemosa (Aubl.) Borhidi from Linear Measurements
title Leaf Area Estimation of Palicourea racemosa (Aubl.) Borhidi from Linear Measurements
spellingShingle Leaf Area Estimation of Palicourea racemosa (Aubl.) Borhidi from Linear Measurements
Ribeiro,João Everthon da Silva
biometry
modeling
non-destructive method
leaf dimension
Rubiaceae
title_short Leaf Area Estimation of Palicourea racemosa (Aubl.) Borhidi from Linear Measurements
title_full Leaf Area Estimation of Palicourea racemosa (Aubl.) Borhidi from Linear Measurements
title_fullStr Leaf Area Estimation of Palicourea racemosa (Aubl.) Borhidi from Linear Measurements
title_full_unstemmed Leaf Area Estimation of Palicourea racemosa (Aubl.) Borhidi from Linear Measurements
title_sort Leaf Area Estimation of Palicourea racemosa (Aubl.) Borhidi from Linear Measurements
author Ribeiro,João Everthon da Silva
author_facet Ribeiro,João Everthon da Silva
Figueiredo,Francisco Romário Andrade
Coêlho,Ester dos Santos
Pereira,Walter Esfrain
Albuquerque,Manoel Bandeira de
author_role author
author2 Figueiredo,Francisco Romário Andrade
Coêlho,Ester dos Santos
Pereira,Walter Esfrain
Albuquerque,Manoel Bandeira de
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Ribeiro,João Everthon da Silva
Figueiredo,Francisco Romário Andrade
Coêlho,Ester dos Santos
Pereira,Walter Esfrain
Albuquerque,Manoel Bandeira de
dc.subject.por.fl_str_mv biometry
modeling
non-destructive method
leaf dimension
Rubiaceae
topic biometry
modeling
non-destructive method
leaf dimension
Rubiaceae
description Abstract Estimating leaf area is essential to evaluate vegetal growth. Our study sought to obtain statistical models to allow the leaf area estimation of Palicourea racemosa, considering its length (L) and width (W). For such purpose, we collected 200 leaves of this species in the State Park Mata do Pau-Ferro, in the municipality of Areia, Paraíba, Northeast of Brazil. The regression models used were: linear, linear without intercept, power and exponential. The choice of the best equation was based on the values of the coefficient of determination (R2), root mean square error (RMSE), Akaike information criterion (AIC), Willmott concordance index (d) and BIAS ratio. All linear and power models may be used to measure the P. racemosa leaf area; however, the power model LA = 0 . 609 * ( L . W ) 0 . 995 is the most recommended to estimate this species’ leaf area.
publishDate 2020
dc.date.none.fl_str_mv 2020-01-01
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=S2179-80872020000400101
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-80872020000400101
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/2179-8087.010518
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.27 n.4 2020
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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