Leaf Area Estimation of Palicourea racemosa (Aubl.) Borhidi from Linear Measurements
Autor(a) principal: | |
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Data de Publicação: | 2020 |
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=S2179-80872020000400101 |
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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Floresta e Ambiente |
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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|| |
_version_ |
1750128143672279040 |