ÍNDICES DE COMPETIÇÃO INDEPENDENTES DA DISTÂNCIA EM UM FRAGMENTO DE MATA ATLÂNTICA
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Nativa (Sinop) |
Texto Completo: | https://periodicoscientificos.ufmt.br/ojs/index.php/nativa/article/view/14821 |
Resumo: | This work aimed to evaluate distance-independent competition indices and to present the most suitable to represent competitiveness in different height strata in an Atlantic Forest fragment under forest recovery. This study was conducted in an area of 2.53ha, where inventory was carried out with a sampling intensity of 15.81%. Six competition indices were calculated for trees contained in lower, middle and upper strata of the forest fragment. IC2 competition index, which relates DBH of the objective tree with that from the average of competing trees, was the predictor that resulted in accurate equations for biometric estimation. Logistic model satisfactorily fitted the problem, more specifically in biometric prediction using competition indices as predictor variables. It is concluded that, for the study site, IC2 competition index is indicated for analyzes on the relationship between competitiveness and biometric aspects in different height strata. |
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ÍNDICES DE COMPETIÇÃO INDEPENDENTES DA DISTÂNCIA EM UM FRAGMENTO DE MATA ATLÂNTICAaltura de árvorescompetitividadecomportamento sigmoidalrelação funcionalThis work aimed to evaluate distance-independent competition indices and to present the most suitable to represent competitiveness in different height strata in an Atlantic Forest fragment under forest recovery. This study was conducted in an area of 2.53ha, where inventory was carried out with a sampling intensity of 15.81%. Six competition indices were calculated for trees contained in lower, middle and upper strata of the forest fragment. IC2 competition index, which relates DBH of the objective tree with that from the average of competing trees, was the predictor that resulted in accurate equations for biometric estimation. Logistic model satisfactorily fitted the problem, more specifically in biometric prediction using competition indices as predictor variables. It is concluded that, for the study site, IC2 competition index is indicated for analyzes on the relationship between competitiveness and biometric aspects in different height strata.Investigações científicas sobre o comportamento de índices de competição em diferentes estratos de altura são escassas e podem subsidiar o desenvolvimento de planos, manutenção e monitoramento para a recuperação de áreas degradadas e contribuir para o desenvolvimento de futuras pesquisas sobre a dinâmica de crescimento em povoamentos inequiâneos. O objetivo do presente trabalho foi avaliar a influência de índices de competição independentes da distância no comportamento biométrico de árvores em diferentes estratos de altura em um fragmento de Mata Atlântica sob recuperação florestal. O estudo foi conduzido em uma área de 2,53ha, onde se realizou o inventário com intensidade amostral de 15,81%. Calcularam-se seis índices de competição para árvores contidas nos estratos inferior, médio e superior do fragmento. Os índices cujos menores valores representam maior competição sobre a árvore-objetivo exibiram correlação positiva e se associaram melhor com os atributos biométricos. O comportamento de aspectos biométricos em relação à competitividade da árvore-objetivo foi distinto entre estratos de altura. Conclui-se que, para o local de estudo, o índice de IC2 demonstrou flexibilidade para analises sobre relações entre a competitividade e aspectos biométricos em distintos estratos de altura. Aspectos os biométricos lenhosos aumentam assintoticamente com a redução da competição sobre a árvore-objetivo. Palavras-chave: altura de árvores; competitividade; comportamento sigmoidal; relação funcional. Distance-independent competition indices in an Atlantic Forest fragment ABSTRACT: Scientific investigations on the behavior of competition indices in different height strata are scarce and can subsidize the development of plans, maintenance and monitoring for the degraded area recovery and contribute to the development of future research on growth dynamics in uneven stands. This work aimed to evaluate the influence of distance-independent competition indices on the biometric behavior of trees in different height strata within an Atlantic Forest fragment under forest recovery. This study was conducted in an area of 2.53ha, where inventory was carried out with a sampling intensity of 15.81%. Six competition indices were calculated for trees contained in the lower, middle and upper strata of the fragment. Indices whose lower values represent greater competition on the target tree exhibited a positive correlation and had a better association with the biometric attributes. The behavior of biometric aspects regarding the competitiveness of the target tree was different between height strata. It is concluded that, for the study site, IC2 competition index demonstrated flexibility for analyzing relationships between competitiveness and biometric aspects in different height strata. Woody biometrics aspects increase asymptotically with reduced competition over the target tree. Keywords: tree height; competitiveness; sigmoidal behavior; functional relationship.Universidade Federal de Mato Grosso2023-09-15info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicoscientificos.ufmt.br/ojs/index.php/nativa/article/view/1482110.31413/nat.v11i3.14821Nativa; v. 11 n. 3 (2023); 348-355Nativa; Vol. 11 Núm. 3 (2023); 348-355Nativa; Vol. 11 No. 3 (2023); 348-3552318-7670reponame:Nativa (Sinop)instname:Universidade Federal de Mato Grosso (UFMT)instacron:UFMTporhttps://periodicoscientificos.ufmt.br/ojs/index.php/nativa/article/view/14821/12629Copyright (c) 2023 Nativahttps://creativecommons.org/licenses/by-nc/4.0info:eu-repo/semantics/openAccessLafetá, Bruno OliveiraSantos, Milene Alves dosPimenta, Ivelton Alves Carvalho, Graziele Wolff de AlmeidaVieira, Diego dos SantosRodrigues, Heloisa Brenda Xavier2023-09-15T13:53:37Zoai:periodicoscientificos.ufmt.br:article/14821Revistahttps://periodicoscientificos.ufmt.br/ojs/index.php/nativaPUBhttps://periodicoscientificos.ufmt.br/ojs/index.php/nativa/oai||rrmelo2@yahoo.com.br2318-76702318-7670opendoar:2023-09-15T13:53:37Nativa (Sinop) - Universidade Federal de Mato Grosso (UFMT)false |
dc.title.none.fl_str_mv |
ÍNDICES DE COMPETIÇÃO INDEPENDENTES DA DISTÂNCIA EM UM FRAGMENTO DE MATA ATLÂNTICA |
title |
ÍNDICES DE COMPETIÇÃO INDEPENDENTES DA DISTÂNCIA EM UM FRAGMENTO DE MATA ATLÂNTICA |
spellingShingle |
ÍNDICES DE COMPETIÇÃO INDEPENDENTES DA DISTÂNCIA EM UM FRAGMENTO DE MATA ATLÂNTICA Lafetá, Bruno Oliveira altura de árvores competitividade comportamento sigmoidal relação funcional |
title_short |
ÍNDICES DE COMPETIÇÃO INDEPENDENTES DA DISTÂNCIA EM UM FRAGMENTO DE MATA ATLÂNTICA |
title_full |
ÍNDICES DE COMPETIÇÃO INDEPENDENTES DA DISTÂNCIA EM UM FRAGMENTO DE MATA ATLÂNTICA |
title_fullStr |
ÍNDICES DE COMPETIÇÃO INDEPENDENTES DA DISTÂNCIA EM UM FRAGMENTO DE MATA ATLÂNTICA |
title_full_unstemmed |
ÍNDICES DE COMPETIÇÃO INDEPENDENTES DA DISTÂNCIA EM UM FRAGMENTO DE MATA ATLÂNTICA |
title_sort |
ÍNDICES DE COMPETIÇÃO INDEPENDENTES DA DISTÂNCIA EM UM FRAGMENTO DE MATA ATLÂNTICA |
author |
Lafetá, Bruno Oliveira |
author_facet |
Lafetá, Bruno Oliveira Santos, Milene Alves dos Pimenta, Ivelton Alves Carvalho, Graziele Wolff de Almeida Vieira, Diego dos Santos Rodrigues, Heloisa Brenda Xavier |
author_role |
author |
author2 |
Santos, Milene Alves dos Pimenta, Ivelton Alves Carvalho, Graziele Wolff de Almeida Vieira, Diego dos Santos Rodrigues, Heloisa Brenda Xavier |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Lafetá, Bruno Oliveira Santos, Milene Alves dos Pimenta, Ivelton Alves Carvalho, Graziele Wolff de Almeida Vieira, Diego dos Santos Rodrigues, Heloisa Brenda Xavier |
dc.subject.por.fl_str_mv |
altura de árvores competitividade comportamento sigmoidal relação funcional |
topic |
altura de árvores competitividade comportamento sigmoidal relação funcional |
description |
This work aimed to evaluate distance-independent competition indices and to present the most suitable to represent competitiveness in different height strata in an Atlantic Forest fragment under forest recovery. This study was conducted in an area of 2.53ha, where inventory was carried out with a sampling intensity of 15.81%. Six competition indices were calculated for trees contained in lower, middle and upper strata of the forest fragment. IC2 competition index, which relates DBH of the objective tree with that from the average of competing trees, was the predictor that resulted in accurate equations for biometric estimation. Logistic model satisfactorily fitted the problem, more specifically in biometric prediction using competition indices as predictor variables. It is concluded that, for the study site, IC2 competition index is indicated for analyzes on the relationship between competitiveness and biometric aspects in different height strata. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-09-15 |
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://periodicoscientificos.ufmt.br/ojs/index.php/nativa/article/view/14821 10.31413/nat.v11i3.14821 |
url |
https://periodicoscientificos.ufmt.br/ojs/index.php/nativa/article/view/14821 |
identifier_str_mv |
10.31413/nat.v11i3.14821 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://periodicoscientificos.ufmt.br/ojs/index.php/nativa/article/view/14821/12629 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2023 Nativa https://creativecommons.org/licenses/by-nc/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2023 Nativa https://creativecommons.org/licenses/by-nc/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Federal de Mato Grosso |
publisher.none.fl_str_mv |
Universidade Federal de Mato Grosso |
dc.source.none.fl_str_mv |
Nativa; v. 11 n. 3 (2023); 348-355 Nativa; Vol. 11 Núm. 3 (2023); 348-355 Nativa; Vol. 11 No. 3 (2023); 348-355 2318-7670 reponame:Nativa (Sinop) instname:Universidade Federal de Mato Grosso (UFMT) instacron:UFMT |
instname_str |
Universidade Federal de Mato Grosso (UFMT) |
instacron_str |
UFMT |
institution |
UFMT |
reponame_str |
Nativa (Sinop) |
collection |
Nativa (Sinop) |
repository.name.fl_str_mv |
Nativa (Sinop) - Universidade Federal de Mato Grosso (UFMT) |
repository.mail.fl_str_mv |
||rrmelo2@yahoo.com.br |
_version_ |
1799711198749392896 |