Morphometry of crown in Prosopis alba Griseb.
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | spa |
Título da fonte: | Ciência Florestal (Online) |
Texto Completo: | https://periodicos.ufsm.br/cienciaflorestal/article/view/26846 |
Resumo: | The morphometric relations allow describing and characterizing the dimensions of trees, stands without prior knowledge of the age and have utility in silvicultural management, forest monitoring and productivity, especially when there is a premise of making a sustainable use of forests. The objectives of the present study were to determine the morphometric indices according to their social positions (PS), correlate them, and create predictive models of these indices, because the dimensions and architecture of the crown may vary according to the PS. The data collection was carried out in three provinces of the Chaqueña Region, Argentina. In 100 individuals with DBH> 15 cm were measured: total height (Ht), diameter at breast height (DAP), crown length (Hc), crown radius (Rc), through which it was calculated the crown diameter (Dc), crown volume (Vc), slenderness rate (E), range index (Ia), crown section (Gc), salience index (IS), crown percentage (%c) and crown formal (Fc). The variables were subjected to the Pearson correlation analysis. The results indicate that there are positive correlations between % C, Ht, Hc, Dc and DAP, while E and Is showed negative correlations with DAP. The morphometric relationships of Prosopis alba can be accurately estimated using regression models. The results indicate that morphometric features can be described using a unique model, with the use of dummy classification variables that differentiate the sociological positions in individuals of Prosopis alba. |
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Morphometry of crown in Prosopis alba Griseb.Morfometria de copa en Prosopis alba Griseb.MorphometryCrown characteristicsForest managementMorfometríaCaracterísticas de copaManejo forestalThe morphometric relations allow describing and characterizing the dimensions of trees, stands without prior knowledge of the age and have utility in silvicultural management, forest monitoring and productivity, especially when there is a premise of making a sustainable use of forests. The objectives of the present study were to determine the morphometric indices according to their social positions (PS), correlate them, and create predictive models of these indices, because the dimensions and architecture of the crown may vary according to the PS. The data collection was carried out in three provinces of the Chaqueña Region, Argentina. In 100 individuals with DBH> 15 cm were measured: total height (Ht), diameter at breast height (DAP), crown length (Hc), crown radius (Rc), through which it was calculated the crown diameter (Dc), crown volume (Vc), slenderness rate (E), range index (Ia), crown section (Gc), salience index (IS), crown percentage (%c) and crown formal (Fc). The variables were subjected to the Pearson correlation analysis. The results indicate that there are positive correlations between % C, Ht, Hc, Dc and DAP, while E and Is showed negative correlations with DAP. The morphometric relationships of Prosopis alba can be accurately estimated using regression models. The results indicate that morphometric features can be described using a unique model, with the use of dummy classification variables that differentiate the sociological positions in individuals of Prosopis alba.Las relaciones morfométricas permiten describir y caracterizar las dimensiones de los árboles, rodales sin el conocimiento previo de la edad, tienen utilidad en el manejo silvicultural, monitoreos forestales y productividad, especialmente cuando se tiene como premisa hacer un uso sustentable de los bosques. Los objetivos del presente trabajo fueron determinar índices morfométricos según su posición social (PS), correlacionarlos, y crear modelos de predicción de esos índices, ya que las dimensiones y arquitectura de la copa pueden variar en virtud PS. La recolección de datos se realizó en tres provincias de la Región Chaqueña, Argentina. En 100 individuos con DAP> 15 cm, se midieron: altura total (Ht), diámetro a la altura del pecho (DAP), longitud de copa (Hc), radios copa (Rc), a través de los cuales se calcularon: diámetro de copa (Dc), volumen de copa (Vc), grado de esbeltez (E), índice de amplitud (Ia), sección de copa (Gc), índice saliente (Is), porcentaje de copa (%C) y forma de copa (Fc). Las variables fueron sometidas al análisis de correlación de Pearson. Los resultados indican que existen correlaciones positivas entre %C, Ht, Hc, Dc y el DAP, mientras que E e Is mostraron correlaciones negativas con el DAP. Las relaciones morfométricas de Prosopis alba pueden estimarse con precisión mediante modelos de regresión. Los resultados apuntan que los rasgos morfométricos pueden ser descriptos mediante un modelo único, con la utilización de variables de clasificación dummy que diferencian las posiciones sociológicas en individuos de Prosopis alba.Universidade Federal de Santa Maria2019-06-30info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.ufsm.br/cienciaflorestal/article/view/2684610.5902/1980509826846Ciência Florestal; Vol. 29 No. 2 (2019); 863-884Ciência Florestal; v. 29 n. 2 (2019); 863-8841980-50980103-9954reponame:Ciência Florestal (Online)instname:Universidade Federal de Santa Maria (UFSM)instacron:UFSMspahttps://periodicos.ufsm.br/cienciaflorestal/article/view/26846/pdfCopyright (c) 2019 Ciência Florestalinfo:eu-repo/semantics/openAccessCisneros, Ana BelénMoglia, Juana GracielaÁlvarez, Juan Agustín2019-09-05T21:03:29Zoai:ojs.pkp.sfu.ca:article/26846Revistahttp://www.ufsm.br/cienciaflorestal/ONGhttps://old.scielo.br/oai/scielo-oai.php||cienciaflorestal@ufsm.br|| cienciaflorestal@gmail.com|| cf@smail.ufsm.br1980-50980103-9954opendoar:2019-09-05T21:03:29Ciência Florestal (Online) - Universidade Federal de Santa Maria (UFSM)false |
dc.title.none.fl_str_mv |
Morphometry of crown in Prosopis alba Griseb. Morfometria de copa en Prosopis alba Griseb. |
title |
Morphometry of crown in Prosopis alba Griseb. |
spellingShingle |
Morphometry of crown in Prosopis alba Griseb. Cisneros, Ana Belén Morphometry Crown characteristics Forest management Morfometría Características de copa Manejo forestal |
title_short |
Morphometry of crown in Prosopis alba Griseb. |
title_full |
Morphometry of crown in Prosopis alba Griseb. |
title_fullStr |
Morphometry of crown in Prosopis alba Griseb. |
title_full_unstemmed |
Morphometry of crown in Prosopis alba Griseb. |
title_sort |
Morphometry of crown in Prosopis alba Griseb. |
author |
Cisneros, Ana Belén |
author_facet |
Cisneros, Ana Belén Moglia, Juana Graciela Álvarez, Juan Agustín |
author_role |
author |
author2 |
Moglia, Juana Graciela Álvarez, Juan Agustín |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Cisneros, Ana Belén Moglia, Juana Graciela Álvarez, Juan Agustín |
dc.subject.por.fl_str_mv |
Morphometry Crown characteristics Forest management Morfometría Características de copa Manejo forestal |
topic |
Morphometry Crown characteristics Forest management Morfometría Características de copa Manejo forestal |
description |
The morphometric relations allow describing and characterizing the dimensions of trees, stands without prior knowledge of the age and have utility in silvicultural management, forest monitoring and productivity, especially when there is a premise of making a sustainable use of forests. The objectives of the present study were to determine the morphometric indices according to their social positions (PS), correlate them, and create predictive models of these indices, because the dimensions and architecture of the crown may vary according to the PS. The data collection was carried out in three provinces of the Chaqueña Region, Argentina. In 100 individuals with DBH> 15 cm were measured: total height (Ht), diameter at breast height (DAP), crown length (Hc), crown radius (Rc), through which it was calculated the crown diameter (Dc), crown volume (Vc), slenderness rate (E), range index (Ia), crown section (Gc), salience index (IS), crown percentage (%c) and crown formal (Fc). The variables were subjected to the Pearson correlation analysis. The results indicate that there are positive correlations between % C, Ht, Hc, Dc and DAP, while E and Is showed negative correlations with DAP. The morphometric relationships of Prosopis alba can be accurately estimated using regression models. The results indicate that morphometric features can be described using a unique model, with the use of dummy classification variables that differentiate the sociological positions in individuals of Prosopis alba. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-06-30 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://periodicos.ufsm.br/cienciaflorestal/article/view/26846 10.5902/1980509826846 |
url |
https://periodicos.ufsm.br/cienciaflorestal/article/view/26846 |
identifier_str_mv |
10.5902/1980509826846 |
dc.language.iso.fl_str_mv |
spa |
language |
spa |
dc.relation.none.fl_str_mv |
https://periodicos.ufsm.br/cienciaflorestal/article/view/26846/pdf |
dc.rights.driver.fl_str_mv |
Copyright (c) 2019 Ciência Florestal info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2019 Ciência Florestal |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Federal de Santa Maria |
publisher.none.fl_str_mv |
Universidade Federal de Santa Maria |
dc.source.none.fl_str_mv |
Ciência Florestal; Vol. 29 No. 2 (2019); 863-884 Ciência Florestal; v. 29 n. 2 (2019); 863-884 1980-5098 0103-9954 reponame:Ciência Florestal (Online) instname:Universidade Federal de Santa Maria (UFSM) instacron:UFSM |
instname_str |
Universidade Federal de Santa Maria (UFSM) |
instacron_str |
UFSM |
institution |
UFSM |
reponame_str |
Ciência Florestal (Online) |
collection |
Ciência Florestal (Online) |
repository.name.fl_str_mv |
Ciência Florestal (Online) - Universidade Federal de Santa Maria (UFSM) |
repository.mail.fl_str_mv |
||cienciaflorestal@ufsm.br|| cienciaflorestal@gmail.com|| cf@smail.ufsm.br |
_version_ |
1799944131895623680 |