Multivariate analysis of native forest species in relation to chemical and texture attributes of soil in the region of Cotriguaçu – Mato Grosso State
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , |
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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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 |
_version_ |
1799944127614287872 |