Non-destructive equations to estimate the leaf area of Styrax pohlii and Styrax ferrugineus

Detalhes bibliográficos
Autor(a) principal: Souza,MC
Data de Publicação: 2014
Outros Autores: Habermann,G
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Brazilian Journal of Biology
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1519-69842014000100028
Resumo: We developed linear equations to predict the leaf area (LA) of the species Styrax pohlii and Styrax ferrugineus using the width (W) and length (L) leaf dimensions. For both species the linear regression (Y=α+bX) using LA as a dependent variable vs. W × L as an independent variable was more efficient than linear regressions using L, W, L2 and W2 as independent variables. Therefore, the LA of S. pohlii can be estimated with the equation LA=0.582+0.683WL, while the LA of S. ferrugineus follows the equation LA=−0.666+0.704WL.
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spelling Non-destructive equations to estimate the leaf area of Styrax pohlii and Styrax ferrugineusBrazilian savannaStyracaceaevalidationregression analysislinear modelsWe developed linear equations to predict the leaf area (LA) of the species Styrax pohlii and Styrax ferrugineus using the width (W) and length (L) leaf dimensions. For both species the linear regression (Y=α+bX) using LA as a dependent variable vs. W × L as an independent variable was more efficient than linear regressions using L, W, L2 and W2 as independent variables. Therefore, the LA of S. pohlii can be estimated with the equation LA=0.582+0.683WL, while the LA of S. ferrugineus follows the equation LA=−0.666+0.704WL.Instituto Internacional de Ecologia2014-02-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1519-69842014000100028Brazilian Journal of Biology v.74 n.1 2014reponame:Brazilian Journal of Biologyinstname:Instituto Internacional de Ecologia (IIE)instacron:IIE10.1590/1519-6984.17012info:eu-repo/semantics/openAccessSouza,MCHabermann,Geng2015-10-27T00:00:00Zoai:scielo:S1519-69842014000100028Revistahttps://www.scielo.br/j/bjb/https://old.scielo.br/oai/scielo-oai.phpbjb@bjb.com.br||bjb@bjb.com.br1678-43751519-6984opendoar:2015-10-27T00:00Brazilian Journal of Biology - Instituto Internacional de Ecologia (IIE)false
dc.title.none.fl_str_mv Non-destructive equations to estimate the leaf area of Styrax pohlii and Styrax ferrugineus
title Non-destructive equations to estimate the leaf area of Styrax pohlii and Styrax ferrugineus
spellingShingle Non-destructive equations to estimate the leaf area of Styrax pohlii and Styrax ferrugineus
Souza,MC
Brazilian savanna
Styracaceae
validation
regression analysis
linear models
title_short Non-destructive equations to estimate the leaf area of Styrax pohlii and Styrax ferrugineus
title_full Non-destructive equations to estimate the leaf area of Styrax pohlii and Styrax ferrugineus
title_fullStr Non-destructive equations to estimate the leaf area of Styrax pohlii and Styrax ferrugineus
title_full_unstemmed Non-destructive equations to estimate the leaf area of Styrax pohlii and Styrax ferrugineus
title_sort Non-destructive equations to estimate the leaf area of Styrax pohlii and Styrax ferrugineus
author Souza,MC
author_facet Souza,MC
Habermann,G
author_role author
author2 Habermann,G
author2_role author
dc.contributor.author.fl_str_mv Souza,MC
Habermann,G
dc.subject.por.fl_str_mv Brazilian savanna
Styracaceae
validation
regression analysis
linear models
topic Brazilian savanna
Styracaceae
validation
regression analysis
linear models
description We developed linear equations to predict the leaf area (LA) of the species Styrax pohlii and Styrax ferrugineus using the width (W) and length (L) leaf dimensions. For both species the linear regression (Y=α+bX) using LA as a dependent variable vs. W × L as an independent variable was more efficient than linear regressions using L, W, L2 and W2 as independent variables. Therefore, the LA of S. pohlii can be estimated with the equation LA=0.582+0.683WL, while the LA of S. ferrugineus follows the equation LA=−0.666+0.704WL.
publishDate 2014
dc.date.none.fl_str_mv 2014-02-01
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=S1519-69842014000100028
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1519-69842014000100028
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1519-6984.17012
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 Internacional de Ecologia
publisher.none.fl_str_mv Instituto Internacional de Ecologia
dc.source.none.fl_str_mv Brazilian Journal of Biology v.74 n.1 2014
reponame:Brazilian Journal of Biology
instname:Instituto Internacional de Ecologia (IIE)
instacron:IIE
instname_str Instituto Internacional de Ecologia (IIE)
instacron_str IIE
institution IIE
reponame_str Brazilian Journal of Biology
collection Brazilian Journal of Biology
repository.name.fl_str_mv Brazilian Journal of Biology - Instituto Internacional de Ecologia (IIE)
repository.mail.fl_str_mv bjb@bjb.com.br||bjb@bjb.com.br
_version_ 1752129880088117248

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