CONTRIBUTION OF THE MULTIVARIATE ANALYSIS ON THE SITE CLASSIFICATION IN PLANTED FORESTS OF Araucaria angustifolia (Bert.) O. Ktze., BASED ON PHYSICAL AND MORPHOLOGICAL SOIL FACTORS AND ON THE LITTER NUTRIENT CONTENT

Detalhes bibliográficos
Autor(a) principal: Gerhardt, Eloidir José
Data de Publicação: 2001
Outros Autores: Finger, César Augusto Guimarães, Longhi, Solon Jonas, Schumacher, Mauro Valdir
Tipo de documento: Artigo
Idioma: por
Título da fonte: Ciência Florestal (Online)
Texto Completo: https://periodicos.ufsm.br/cienciaflorestal/article/view/1653
Resumo: In this work, with the help of multivariate statistical techniques, it was studied the influence of morphological and physical soil factors and litter nutrient content on site classification of a 47 years old Araucaria angustifolia (Bert.) O. Ktze. stand located on Canela National Forest, Rio Grande do Sul State, Brazil. A stratified sampling, covering three natural sites that received four angle-count sampling (ACS) each one, according to the methodology of BITTERLICH (1984) were installed. In the area of the ACS the tree with the average dominant height was felled for the trunk analysis and determination of the height growth, as defined by  Pollanchütz,  and  soil  samples at deeps of 0-10 cm and 10-20 cm  were  collected with am extractive cylinder. These samples were equidistantly distributed under the crown projection of the average dominant tree. Later, each sample was divided into two geometric horizons, A1 e A2, from which the physical characteristics of the soil were determined. Litter samples were obtained and their chemical content was analyzed. The cluster analysis classified the group of observations into three distinct groups, according to their locations in the different natural sites. The discriminant analysis confirmed the efficiency of the groupings and indicated, with a significance level of 0.01, that the variables soil depth, contents of clay, fine sand and loam, soil density and height mean annual increment presented a higher discriminating power of separating the groups. The first one corresponds to the site of higher yearly mean growth in height and it is located on the plains and low hillsides, where soils, are deep, loamy and sandy. The second, correspond to the lower height growth sites, located on intermontane plains which occurs in the form of irregular lowlands where soils are deep, clay, compacted and with rock residuals along its profile. The third, with yearly mean growth in height intermediary when compared with the two first ones, enclose the most steepests areas of the study with based rocks.
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spelling CONTRIBUTION OF THE MULTIVARIATE ANALYSIS ON THE SITE CLASSIFICATION IN PLANTED FORESTS OF Araucaria angustifolia (Bert.) O. Ktze., BASED ON PHYSICAL AND MORPHOLOGICAL SOIL FACTORS AND ON THE LITTER NUTRIENT CONTENTContribuição da análise multivariada na classificação de sítios em povoamentos de Araucaria angustifilia (Bert.) O. Ktze., baseada nos fatores físicos e morfológicos do solo e no conteúdo de nutrientes da serapilheira.Araucaria angustifoliagrowthsoilmultivariate analysis.Araucaria angustifoliacrescimentosoloanálise multivariadaIn this work, with the help of multivariate statistical techniques, it was studied the influence of morphological and physical soil factors and litter nutrient content on site classification of a 47 years old Araucaria angustifolia (Bert.) O. Ktze. stand located on Canela National Forest, Rio Grande do Sul State, Brazil. A stratified sampling, covering three natural sites that received four angle-count sampling (ACS) each one, according to the methodology of BITTERLICH (1984) were installed. In the area of the ACS the tree with the average dominant height was felled for the trunk analysis and determination of the height growth, as defined by  Pollanchütz,  and  soil  samples at deeps of 0-10 cm and 10-20 cm  were  collected with am extractive cylinder. These samples were equidistantly distributed under the crown projection of the average dominant tree. Later, each sample was divided into two geometric horizons, A1 e A2, from which the physical characteristics of the soil were determined. Litter samples were obtained and their chemical content was analyzed. The cluster analysis classified the group of observations into three distinct groups, according to their locations in the different natural sites. The discriminant analysis confirmed the efficiency of the groupings and indicated, with a significance level of 0.01, that the variables soil depth, contents of clay, fine sand and loam, soil density and height mean annual increment presented a higher discriminating power of separating the groups. The first one corresponds to the site of higher yearly mean growth in height and it is located on the plains and low hillsides, where soils, are deep, loamy and sandy. The second, correspond to the lower height growth sites, located on intermontane plains which occurs in the form of irregular lowlands where soils are deep, clay, compacted and with rock residuals along its profile. The third, with yearly mean growth in height intermediary when compared with the two first ones, enclose the most steepests areas of the study with based rocks. Neste trabalho foi estudado, por meio da técnica estatística multivariada, a influência dos fatores físicos e morfológicos do solo e da quantidade de nutrientes da serapilheira, na classificação de sítios em um povoamento de Araucaria angustifolia (Bert.) O. Ktze., com 47 anos de idade, localizado na Floresta Nacional de Canela, Rio Grande do Sul, Brasil. Foram instaladas 12 Amostras por Contagem Angular (ACA), conforme a metodologia de BITTERLICH (1984), distribuídas proporcionalmente em três sítios naturais previamente classificados. Dentro da ACA foi abatida, para fins de análise de tronco e determinação do crescimento em altura, a árvore de altura média dominante, conforme definido por Pollanchütz, bem como coletadas amostras de solo com um tubo coletor, nas profundidades de  0-10 cm e 10-20 cm. Tais amostras foram distribuídas de forma eqüidistante sob a projeção da copa da árvore dominante média. Posteriormente, cada amostra de solo foi dividida em dois horizontes geométricos, A1 e A2, com base nos quais foram determinadas as características físicas e morfológicas do solo. Também, foi amostrada a serapilheira e analisado seu conteúdo químico. A análise de agrupamento (Cluster) classificou o conjunto de observações em três grupos distintos, em razão de suas localizações nos diferentes sítios naturais. O primeiro grupo corresponde ao sítio com maiores incrementos médios anuais em altura e localiza-se nas planícies e partes inferiores das encostas cujos solos são profundos, siltosos e arenosos. O segundo corresponde ao sítio com menores incrementos em altura e localiza-se em relevo pouco movimentado em forma de depressão irregular cujos solos são profundos, argilosos, compactos e com resíduos de rocha ao longo do perfil. O terceiro, com incrementos médios anuais em altura, intermediários quando comparados com os dois primeiros, abrange as áreas mais íngremes da área estudada, com afloramentos rochosos. A análise discriminante comprovou a eficiência dos agrupamentos e mostrou, com nível de significância de 0,01, que as variáveis profundidade do solo, teores de argila, areia fina e silte, densidade do solo e incremento médio anual em altura apresentaram maior poder de discriminação e separação dos grupos.Universidade Federal de Santa Maria2001-06-30info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.ufsm.br/cienciaflorestal/article/view/165310.5902/198050981653Ciência Florestal; Vol. 11 No. 2 (2001); 41-57Ciência Florestal; v. 11 n. 2 (2001); 41-571980-50980103-9954reponame:Ciência Florestal (Online)instname:Universidade Federal de Santa Maria (UFSM)instacron:UFSMporhttps://periodicos.ufsm.br/cienciaflorestal/article/view/1653/939Gerhardt, Eloidir JoséFinger, César Augusto GuimarãesLonghi, Solon JonasSchumacher, Mauro Valdirinfo:eu-repo/semantics/openAccess2017-06-05T19:13:40Zoai:ojs.pkp.sfu.ca:article/1653Revistahttp://www.ufsm.br/cienciaflorestal/ONGhttps://old.scielo.br/oai/scielo-oai.php||cienciaflorestal@ufsm.br|| cienciaflorestal@gmail.com|| cf@smail.ufsm.br1980-50980103-9954opendoar:2017-06-05T19:13:40Ciência Florestal (Online) - Universidade Federal de Santa Maria (UFSM)false
dc.title.none.fl_str_mv CONTRIBUTION OF THE MULTIVARIATE ANALYSIS ON THE SITE CLASSIFICATION IN PLANTED FORESTS OF Araucaria angustifolia (Bert.) O. Ktze., BASED ON PHYSICAL AND MORPHOLOGICAL SOIL FACTORS AND ON THE LITTER NUTRIENT CONTENT
Contribuição da análise multivariada na classificação de sítios em povoamentos de Araucaria angustifilia (Bert.) O. Ktze., baseada nos fatores físicos e morfológicos do solo e no conteúdo de nutrientes da serapilheira.
title CONTRIBUTION OF THE MULTIVARIATE ANALYSIS ON THE SITE CLASSIFICATION IN PLANTED FORESTS OF Araucaria angustifolia (Bert.) O. Ktze., BASED ON PHYSICAL AND MORPHOLOGICAL SOIL FACTORS AND ON THE LITTER NUTRIENT CONTENT
spellingShingle CONTRIBUTION OF THE MULTIVARIATE ANALYSIS ON THE SITE CLASSIFICATION IN PLANTED FORESTS OF Araucaria angustifolia (Bert.) O. Ktze., BASED ON PHYSICAL AND MORPHOLOGICAL SOIL FACTORS AND ON THE LITTER NUTRIENT CONTENT
Gerhardt, Eloidir José
Araucaria angustifolia
growth
soil
multivariate analysis.
Araucaria angustifolia
crescimento
solo
análise multivariada
title_short CONTRIBUTION OF THE MULTIVARIATE ANALYSIS ON THE SITE CLASSIFICATION IN PLANTED FORESTS OF Araucaria angustifolia (Bert.) O. Ktze., BASED ON PHYSICAL AND MORPHOLOGICAL SOIL FACTORS AND ON THE LITTER NUTRIENT CONTENT
title_full CONTRIBUTION OF THE MULTIVARIATE ANALYSIS ON THE SITE CLASSIFICATION IN PLANTED FORESTS OF Araucaria angustifolia (Bert.) O. Ktze., BASED ON PHYSICAL AND MORPHOLOGICAL SOIL FACTORS AND ON THE LITTER NUTRIENT CONTENT
title_fullStr CONTRIBUTION OF THE MULTIVARIATE ANALYSIS ON THE SITE CLASSIFICATION IN PLANTED FORESTS OF Araucaria angustifolia (Bert.) O. Ktze., BASED ON PHYSICAL AND MORPHOLOGICAL SOIL FACTORS AND ON THE LITTER NUTRIENT CONTENT
title_full_unstemmed CONTRIBUTION OF THE MULTIVARIATE ANALYSIS ON THE SITE CLASSIFICATION IN PLANTED FORESTS OF Araucaria angustifolia (Bert.) O. Ktze., BASED ON PHYSICAL AND MORPHOLOGICAL SOIL FACTORS AND ON THE LITTER NUTRIENT CONTENT
title_sort CONTRIBUTION OF THE MULTIVARIATE ANALYSIS ON THE SITE CLASSIFICATION IN PLANTED FORESTS OF Araucaria angustifolia (Bert.) O. Ktze., BASED ON PHYSICAL AND MORPHOLOGICAL SOIL FACTORS AND ON THE LITTER NUTRIENT CONTENT
author Gerhardt, Eloidir José
author_facet Gerhardt, Eloidir José
Finger, César Augusto Guimarães
Longhi, Solon Jonas
Schumacher, Mauro Valdir
author_role author
author2 Finger, César Augusto Guimarães
Longhi, Solon Jonas
Schumacher, Mauro Valdir
author2_role author
author
author
dc.contributor.author.fl_str_mv Gerhardt, Eloidir José
Finger, César Augusto Guimarães
Longhi, Solon Jonas
Schumacher, Mauro Valdir
dc.subject.por.fl_str_mv Araucaria angustifolia
growth
soil
multivariate analysis.
Araucaria angustifolia
crescimento
solo
análise multivariada
topic Araucaria angustifolia
growth
soil
multivariate analysis.
Araucaria angustifolia
crescimento
solo
análise multivariada
description In this work, with the help of multivariate statistical techniques, it was studied the influence of morphological and physical soil factors and litter nutrient content on site classification of a 47 years old Araucaria angustifolia (Bert.) O. Ktze. stand located on Canela National Forest, Rio Grande do Sul State, Brazil. A stratified sampling, covering three natural sites that received four angle-count sampling (ACS) each one, according to the methodology of BITTERLICH (1984) were installed. In the area of the ACS the tree with the average dominant height was felled for the trunk analysis and determination of the height growth, as defined by  Pollanchütz,  and  soil  samples at deeps of 0-10 cm and 10-20 cm  were  collected with am extractive cylinder. These samples were equidistantly distributed under the crown projection of the average dominant tree. Later, each sample was divided into two geometric horizons, A1 e A2, from which the physical characteristics of the soil were determined. Litter samples were obtained and their chemical content was analyzed. The cluster analysis classified the group of observations into three distinct groups, according to their locations in the different natural sites. The discriminant analysis confirmed the efficiency of the groupings and indicated, with a significance level of 0.01, that the variables soil depth, contents of clay, fine sand and loam, soil density and height mean annual increment presented a higher discriminating power of separating the groups. The first one corresponds to the site of higher yearly mean growth in height and it is located on the plains and low hillsides, where soils, are deep, loamy and sandy. The second, correspond to the lower height growth sites, located on intermontane plains which occurs in the form of irregular lowlands where soils are deep, clay, compacted and with rock residuals along its profile. The third, with yearly mean growth in height intermediary when compared with the two first ones, enclose the most steepests areas of the study with based rocks.
publishDate 2001
dc.date.none.fl_str_mv 2001-06-30
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/1653
10.5902/198050981653
url https://periodicos.ufsm.br/cienciaflorestal/article/view/1653
identifier_str_mv 10.5902/198050981653
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://periodicos.ufsm.br/cienciaflorestal/article/view/1653/939
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
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. 11 No. 2 (2001); 41-57
Ciência Florestal; v. 11 n. 2 (2001); 41-57
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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