Multivariate analysis of native forest species in relation to chemical and texture attributes of soil in the region of Cotriguaçu – Mato Grosso State

Detalhes bibliográficos
Autor(a) principal: Tavares, Lorena de Souza
Data de Publicação: 2019
Outros Autores: Weber, Oscarlina Lúcia dos Santos, Valadão, Franciele Caroline de Assis, Espinosa, Mariano Martínez
Tipo de documento: Artigo
Idioma: por
Título da fonte: Ciência Florestal (Online)
Texto Completo: https://periodicos.ufsm.br/cienciaflorestal/article/view/3577
Resumo: This paper aimed to classify the forest species related to the demands on soil fertility and to identify groups with similar characteristics using multivariate statistical techniques. To do so, we analyzed soil samples for the texture and for chemical attributes and we carried out a phytosociological survey of the region. In the principal component analysis, the relations of the complex soil were summarized into four components, which together explained 80% of data variance, with most signifcant relationships between the sum of bases, base saturation, total cation exchange capacity, aluminum saturation, Ca + Mg, Al and clay, with correlation coeffcient greater than 90%. In hierarchical cluster analysis, 70% is similar to soil attributes; three distinct groups of forest species were formed. Multivariate analysis was effective in reducing the original variables, separation and classifcation of groups and identifcation of soil chemical properties most required by forest species. Groups 1 and 2 contain species more demanding in fertility, with preferences for medium textured soils and rich in calcium and magnesium bases. While Group 3 seems to be less demanding, with a predominance in sandy and acidic soils, with large cation exchange capacity and high aluminum saturation. Therefore, the species of the latter group can be indicated for the recovery of the degraded areas. The species Copaifera sp. and Goupia glabra deserve more studies about the mechanisms of adaptation to low soil fertility conditions.
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spelling Multivariate analysis of native forest species in relation to chemical and texture attributes of soil in the region of Cotriguaçu – Mato Grosso StateAnálise multivariada de espécies florestais nativas em relação aos atributos químicos e texturais do solo na região de Cotriguaçu – MTPrincipal component analysisCluster analysisDiscriminant analysisReforestationAnálise de componentes principaisAnálise de agrupamentosAnálise discriminanteReflorestamentoThis paper aimed to classify the forest species related to the demands on soil fertility and to identify groups with similar characteristics using multivariate statistical techniques. To do so, we analyzed soil samples for the texture and for chemical attributes and we carried out a phytosociological survey of the region. In the principal component analysis, the relations of the complex soil were summarized into four components, which together explained 80% of data variance, with most signifcant relationships between the sum of bases, base saturation, total cation exchange capacity, aluminum saturation, Ca + Mg, Al and clay, with correlation coeffcient greater than 90%. In hierarchical cluster analysis, 70% is similar to soil attributes; three distinct groups of forest species were formed. Multivariate analysis was effective in reducing the original variables, separation and classifcation of groups and identifcation of soil chemical properties most required by forest species. Groups 1 and 2 contain species more demanding in fertility, with preferences for medium textured soils and rich in calcium and magnesium bases. While Group 3 seems to be less demanding, with a predominance in sandy and acidic soils, with large cation exchange capacity and high aluminum saturation. Therefore, the species of the latter group can be indicated for the recovery of the degraded areas. The species Copaifera sp. and Goupia glabra deserve more studies about the mechanisms of adaptation to low soil fertility conditions.Objetivou-se neste trabalho classificar as espécies florestais quanto às exigências em fertilidade do solo, bem como identificar grupos com características semelhantes utilizando técnicas da estatística multivariada. Para isso, foram analisadas amostras de solo quanto à textura e aos atributos químicos e realizado um levantamento fitossociológico da região. Na análise de componentes principais, as relações do complexo solo foram resumidas em quatro componentes que juntos explicaram 80% da variância dos dados, com relações mais significativas entre a soma de bases, saturação por bases, capacidade de troca catiônica efetiva, saturação por alumínio, Ca+Mg, Al e argila, com coeficiente de correlação maior que 90%. Na análise de agrupamento hierárquico, com 70% de similaridade quanto aos atributos do solo, formaram-se três grupos distintos de espécies florestais. A análise multivariada foi eficiente na redução das variáveis originais, separação e classificação dos grupos e identificação dos atributos químicos do solo mais requeridos pelas espécies florestais. Os Grupos 1 e 2 contêm espécies mais exigentes em fertilidade, com preferências por solos de textura média ricos em bases de cálcio e magnésio, enquanto o Grupo 3 parece ser menos exigente, prevalecendo em solos mais arenosos e mais ácidos, com grande capacidade de troca de cátions e elevada saturação por alumínio; podendo, as espécies desse último grupo, ser indicadas para recuperação de áreas degradadas. As espécies Copaifera sp. e Goupia glabra merecem mais estudos quanto aos mecanismos de adaptação às condições de baixa fertilidade do solo.Universidade Federal de Santa Maria2019-04-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.ufsm.br/cienciaflorestal/article/view/357710.5902/198050983577Ciência Florestal; Vol. 29 No. 1 (2019); 281-291Ciência Florestal; v. 29 n. 1 (2019); 281-2911980-50980103-9954reponame:Ciência Florestal (Online)instname:Universidade Federal de Santa Maria (UFSM)instacron:UFSMporhttps://periodicos.ufsm.br/cienciaflorestal/article/view/3577/pdfCopyright (c) 2019 Ciência Florestalinfo:eu-repo/semantics/openAccessTavares, Lorena de SouzaWeber, Oscarlina Lúcia dos SantosValadão, Franciele Caroline de AssisEspinosa, Mariano Martínez2020-06-05T19:47:19Zoai:ojs.pkp.sfu.ca:article/3577Revistahttp://www.ufsm.br/cienciaflorestal/ONGhttps://old.scielo.br/oai/scielo-oai.php||cienciaflorestal@ufsm.br|| cienciaflorestal@gmail.com|| cf@smail.ufsm.br1980-50980103-9954opendoar:2020-06-05T19:47:19Ciência Florestal (Online) - Universidade Federal de Santa Maria (UFSM)false
dc.title.none.fl_str_mv Multivariate analysis of native forest species in relation to chemical and texture attributes of soil in the region of Cotriguaçu – Mato Grosso State
Análise multivariada de espécies florestais nativas em relação aos atributos químicos e texturais do solo na região de Cotriguaçu – MT
title Multivariate analysis of native forest species in relation to chemical and texture attributes of soil in the region of Cotriguaçu – Mato Grosso State
spellingShingle Multivariate analysis of native forest species in relation to chemical and texture attributes of soil in the region of Cotriguaçu – Mato Grosso State
Tavares, Lorena de Souza
Principal component analysis
Cluster analysis
Discriminant analysis
Reforestation
Análise de componentes principais
Análise de agrupamentos
Análise discriminante
Reflorestamento
title_short Multivariate analysis of native forest species in relation to chemical and texture attributes of soil in the region of Cotriguaçu – Mato Grosso State
title_full Multivariate analysis of native forest species in relation to chemical and texture attributes of soil in the region of Cotriguaçu – Mato Grosso State
title_fullStr Multivariate analysis of native forest species in relation to chemical and texture attributes of soil in the region of Cotriguaçu – Mato Grosso State
title_full_unstemmed Multivariate analysis of native forest species in relation to chemical and texture attributes of soil in the region of Cotriguaçu – Mato Grosso State
title_sort Multivariate analysis of native forest species in relation to chemical and texture attributes of soil in the region of Cotriguaçu – Mato Grosso State
author Tavares, Lorena de Souza
author_facet Tavares, Lorena de Souza
Weber, Oscarlina Lúcia dos Santos
Valadão, Franciele Caroline de Assis
Espinosa, Mariano Martínez
author_role author
author2 Weber, Oscarlina Lúcia dos Santos
Valadão, Franciele Caroline de Assis
Espinosa, Mariano Martínez
author2_role author
author
author
dc.contributor.author.fl_str_mv Tavares, Lorena de Souza
Weber, Oscarlina Lúcia dos Santos
Valadão, Franciele Caroline de Assis
Espinosa, Mariano Martínez
dc.subject.por.fl_str_mv Principal component analysis
Cluster analysis
Discriminant analysis
Reforestation
Análise de componentes principais
Análise de agrupamentos
Análise discriminante
Reflorestamento
topic Principal component analysis
Cluster analysis
Discriminant analysis
Reforestation
Análise de componentes principais
Análise de agrupamentos
Análise discriminante
Reflorestamento
description This paper aimed to classify the forest species related to the demands on soil fertility and to identify groups with similar characteristics using multivariate statistical techniques. To do so, we analyzed soil samples for the texture and for chemical attributes and we carried out a phytosociological survey of the region. In the principal component analysis, the relations of the complex soil were summarized into four components, which together explained 80% of data variance, with most signifcant relationships between the sum of bases, base saturation, total cation exchange capacity, aluminum saturation, Ca + Mg, Al and clay, with correlation coeffcient greater than 90%. In hierarchical cluster analysis, 70% is similar to soil attributes; three distinct groups of forest species were formed. Multivariate analysis was effective in reducing the original variables, separation and classifcation of groups and identifcation of soil chemical properties most required by forest species. Groups 1 and 2 contain species more demanding in fertility, with preferences for medium textured soils and rich in calcium and magnesium bases. While Group 3 seems to be less demanding, with a predominance in sandy and acidic soils, with large cation exchange capacity and high aluminum saturation. Therefore, the species of the latter group can be indicated for the recovery of the degraded areas. The species Copaifera sp. and Goupia glabra deserve more studies about the mechanisms of adaptation to low soil fertility conditions.
publishDate 2019
dc.date.none.fl_str_mv 2019-04-04
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/3577
10.5902/198050983577
url https://periodicos.ufsm.br/cienciaflorestal/article/view/3577
identifier_str_mv 10.5902/198050983577
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://periodicos.ufsm.br/cienciaflorestal/article/view/3577/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. 1 (2019); 281-291
Ciência Florestal; v. 29 n. 1 (2019); 281-291
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
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