IMPORTANCE VALUE INDEX OF TREE SPECIES OF TAPAJÓS NATIONAL FOREST BY ANALYSIS OF PRINCIPAL COMPONENTS AND FACTORS
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Ciência Florestal (Online) |
Texto Completo: | https://periodicos.ufsm.br/cienciaflorestal/article/view/26446 |
Resumo: | Principal components and factor analysis were used to evaluate the applicability of the linear model IVI = a1Ar + a2Dr + a3Fr for obtaining indexes of value of importance (IVI) for tree species, where Ar is relative abundance, Dr is the relative dominance and Fr is the relative frequency, to compare with the standard univariate method that considers a1 = a2 = a3 =1. The data comprised a sample of 104.04 ha, located in Tapajós National Forest, Belterra municipality, state of Pará, covering of a set of 36 clusters of 4 ha each, Malta croos-shaped, with four subplots of 1ha each. To obtain the IVI’sby species within each cluster, each subplot was subdivided each into 5 sub-subplots of 0.2 ha each. The analysis revealed that the values obtained by multivariable differ from those obtained by the standard equation. It was also found that the values of univariate and multivariate indices vary significantly within the forest, and therefore are not recommended, as they usually are, to infer a single value for the whole forest area, because species considered of minor importance for the overall forest may be of great importance in particular subareas. The use of linear model with a1 = a2 = a3 =1i s not suitable, because of the wide variation of the coefficients among species and their spatial distribution in the forest. |
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Ciência Florestal (Online) |
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IMPORTANCE VALUE INDEX OF TREE SPECIES OF TAPAJÓS NATIONAL FOREST BY ANALYSIS OF PRINCIPAL COMPONENTS AND FACTORSÍNDICE DE VALOR DE IMPORTÂNCIA DE ESPÉCIES ARBÓREAS DA FLORESTA NACIONAL DO TAPAJÓS VIA ANÁLISES DE COMPONENTES PRINCIPAIS E DE FATORESphytosociologyforest inventorycluster sampling.fitossociologiainventário florestalamostra por conglomerado.Principal components and factor analysis were used to evaluate the applicability of the linear model IVI = a1Ar + a2Dr + a3Fr for obtaining indexes of value of importance (IVI) for tree species, where Ar is relative abundance, Dr is the relative dominance and Fr is the relative frequency, to compare with the standard univariate method that considers a1 = a2 = a3 =1. The data comprised a sample of 104.04 ha, located in Tapajós National Forest, Belterra municipality, state of Pará, covering of a set of 36 clusters of 4 ha each, Malta croos-shaped, with four subplots of 1ha each. To obtain the IVI’sby species within each cluster, each subplot was subdivided each into 5 sub-subplots of 0.2 ha each. The analysis revealed that the values obtained by multivariable differ from those obtained by the standard equation. It was also found that the values of univariate and multivariate indices vary significantly within the forest, and therefore are not recommended, as they usually are, to infer a single value for the whole forest area, because species considered of minor importance for the overall forest may be of great importance in particular subareas. The use of linear model with a1 = a2 = a3 =1i s not suitable, because of the wide variation of the coefficients among species and their spatial distribution in the forest. Este trabalho avaliou, a partir das análises de componentes principais e de fatores, a aplicabilidade do modelo linear IVI = a1Ar + a2Dr + a3Fr para obter índices de valor de importância (IVI) para espécies arbóreas, em que Ar é a abundância relativa, Dr é a dominância relativa e Fr é a frequência relativa, comparando-os com o método univariado que considera a equação tradicional que considera a1 = a2 = a3 =1. Os dados foram analisados a partir de uma amostra de 104,04 ha, localizada na Floresta Nacional do Tapajós, município de Belterra, estado do Pará, abrangendo um conjunto de 36 conglomerados de 4 ha, formato cruz de malta, com quatro subparcelas de 1 ha. Para obter os IVIs por espécie dentro de cada conglomerado, as subparcelas foram subdivididas cada uma em 5 subsubparcelas de 0,2 ha. Os resultados mostraram que os valores obtidos pelos métodos multivariados são diferentes dos computados pela equação tradicional. Verificou-se, também, que os valores dos índices uni e multivariados variaram de forma significativa dentro da floresta, não sendo recomendável, como normalmente ocorre, inferir um valor único para a área total da floresta, pois espécies consideradas de menor importância para o total da floresta podem possuir grande importância em determinadas subáreas. O uso do modelo linear com a1 = a2 = a3 =1 não é adequado, pois, por espécie e de acordo com a sua distribuição na floresta, esses coeficientes apresentam grandes variações. Universidade Federal de Santa Maria2017-03-31info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.ufsm.br/cienciaflorestal/article/view/2644610.5902/1980509826446Ciência Florestal; Vol. 27 No. 1 (2017); 47-59Ciência Florestal; v. 27 n. 1 (2017); 47-591980-50980103-9954reponame:Ciência Florestal (Online)instname:Universidade Federal de Santa Maria (UFSM)instacron:UFSMporhttps://periodicos.ufsm.br/cienciaflorestal/article/view/26446/pdfCopyright (c) 2017 Ciência Florestalinfo:eu-repo/semantics/openAccessQueiroz, Waldenei Travassos deSilva, Marcelo LúcioJardim, Fernando Cristovam SilvaVale, RodrigoValente, Mário Diego RochaPinheiro, João2017-04-04T16:51:33Zoai:ojs.pkp.sfu.ca:article/26446Revistahttp://www.ufsm.br/cienciaflorestal/ONGhttps://old.scielo.br/oai/scielo-oai.php||cienciaflorestal@ufsm.br|| cienciaflorestal@gmail.com|| cf@smail.ufsm.br1980-50980103-9954opendoar:2017-04-04T16:51:33Ciência Florestal (Online) - Universidade Federal de Santa Maria (UFSM)false |
dc.title.none.fl_str_mv |
IMPORTANCE VALUE INDEX OF TREE SPECIES OF TAPAJÓS NATIONAL FOREST BY ANALYSIS OF PRINCIPAL COMPONENTS AND FACTORS ÍNDICE DE VALOR DE IMPORTÂNCIA DE ESPÉCIES ARBÓREAS DA FLORESTA NACIONAL DO TAPAJÓS VIA ANÁLISES DE COMPONENTES PRINCIPAIS E DE FATORES |
title |
IMPORTANCE VALUE INDEX OF TREE SPECIES OF TAPAJÓS NATIONAL FOREST BY ANALYSIS OF PRINCIPAL COMPONENTS AND FACTORS |
spellingShingle |
IMPORTANCE VALUE INDEX OF TREE SPECIES OF TAPAJÓS NATIONAL FOREST BY ANALYSIS OF PRINCIPAL COMPONENTS AND FACTORS Queiroz, Waldenei Travassos de phytosociology forest inventory cluster sampling. fitossociologia inventário florestal amostra por conglomerado. |
title_short |
IMPORTANCE VALUE INDEX OF TREE SPECIES OF TAPAJÓS NATIONAL FOREST BY ANALYSIS OF PRINCIPAL COMPONENTS AND FACTORS |
title_full |
IMPORTANCE VALUE INDEX OF TREE SPECIES OF TAPAJÓS NATIONAL FOREST BY ANALYSIS OF PRINCIPAL COMPONENTS AND FACTORS |
title_fullStr |
IMPORTANCE VALUE INDEX OF TREE SPECIES OF TAPAJÓS NATIONAL FOREST BY ANALYSIS OF PRINCIPAL COMPONENTS AND FACTORS |
title_full_unstemmed |
IMPORTANCE VALUE INDEX OF TREE SPECIES OF TAPAJÓS NATIONAL FOREST BY ANALYSIS OF PRINCIPAL COMPONENTS AND FACTORS |
title_sort |
IMPORTANCE VALUE INDEX OF TREE SPECIES OF TAPAJÓS NATIONAL FOREST BY ANALYSIS OF PRINCIPAL COMPONENTS AND FACTORS |
author |
Queiroz, Waldenei Travassos de |
author_facet |
Queiroz, Waldenei Travassos de Silva, Marcelo Lúcio Jardim, Fernando Cristovam Silva Vale, Rodrigo Valente, Mário Diego Rocha Pinheiro, João |
author_role |
author |
author2 |
Silva, Marcelo Lúcio Jardim, Fernando Cristovam Silva Vale, Rodrigo Valente, Mário Diego Rocha Pinheiro, João |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Queiroz, Waldenei Travassos de Silva, Marcelo Lúcio Jardim, Fernando Cristovam Silva Vale, Rodrigo Valente, Mário Diego Rocha Pinheiro, João |
dc.subject.por.fl_str_mv |
phytosociology forest inventory cluster sampling. fitossociologia inventário florestal amostra por conglomerado. |
topic |
phytosociology forest inventory cluster sampling. fitossociologia inventário florestal amostra por conglomerado. |
description |
Principal components and factor analysis were used to evaluate the applicability of the linear model IVI = a1Ar + a2Dr + a3Fr for obtaining indexes of value of importance (IVI) for tree species, where Ar is relative abundance, Dr is the relative dominance and Fr is the relative frequency, to compare with the standard univariate method that considers a1 = a2 = a3 =1. The data comprised a sample of 104.04 ha, located in Tapajós National Forest, Belterra municipality, state of Pará, covering of a set of 36 clusters of 4 ha each, Malta croos-shaped, with four subplots of 1ha each. To obtain the IVI’sby species within each cluster, each subplot was subdivided each into 5 sub-subplots of 0.2 ha each. The analysis revealed that the values obtained by multivariable differ from those obtained by the standard equation. It was also found that the values of univariate and multivariate indices vary significantly within the forest, and therefore are not recommended, as they usually are, to infer a single value for the whole forest area, because species considered of minor importance for the overall forest may be of great importance in particular subareas. The use of linear model with a1 = a2 = a3 =1i s not suitable, because of the wide variation of the coefficients among species and their spatial distribution in the forest. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-03-31 |
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/26446 10.5902/1980509826446 |
url |
https://periodicos.ufsm.br/cienciaflorestal/article/view/26446 |
identifier_str_mv |
10.5902/1980509826446 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://periodicos.ufsm.br/cienciaflorestal/article/view/26446/pdf |
dc.rights.driver.fl_str_mv |
Copyright (c) 2017 Ciência Florestal info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2017 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. 27 No. 1 (2017); 47-59 Ciência Florestal; v. 27 n. 1 (2017); 47-59 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_ |
1799944131814883328 |