Horizontal structure analysis by Kernel density as basis to forest management in Amazonia

Detalhes bibliográficos
Autor(a) principal: Oliveira, Mariana Ferraz
Data de Publicação: 2021
Outros Autores: Mattos, Patricia Povoa de, Garrastazu, Marilice Cordeiro, Braz, Evaldo Muñoz, Figueiredo Filho, Afonso, Rosot, Nelson Carlos
Tipo de documento: Artigo
Idioma: por
Título da fonte: Pesquisa Florestal Brasileira (Online)
Texto Completo: https://pfb.cnpf.embrapa.br/pfb/index.php/pfb/article/view/2098
Resumo: The present work aimed to characterize the horizontal structure of an area of primary Amazonian Forest and the spatial distribution of the species Goupia glabra (Aubl.), Qualea spp. and Dipteryx odorata (Aubl.) Willd. through the analysis of the Kernel density, aiming to support the planning of forest management. The study area is located in Santa Carmem, microregion of Sinop, state of Mato Grosso (1,024 ha), where all individuals with a diameter of 1,30 m from the ground ≥ 30 cm were measured. The absolute and relative densities, frequencies and dominances were calculated, in addition to the importance and coverage value indices. Kernel density and species level dispersion analysis were obtained using the ArcGIS program. The area was classified by the Shannon index as low diversity and more than 50% of the species were classified with a tendency to cluster. Qualea spp. presented the highest values ​​for all analyzed parameters. It was observed that the highest concentration of individuals occurs in the diametric classes that can be exploited. The application of Kernel density appears as a promising tool for planning sustainable forest management, allowing the definition of preferential zones for sustainable exploitation.
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spelling Horizontal structure analysis by Kernel density as basis to forest management in AmazoniaAnálise da estrutura horizontal por densidade de Kernel como subsídio ao manejo florestal na AmazôniaTerra Firme ForestDispersionGeographic Information SystemFloresta de Terra FirmeDispersãoSistema de Informação GeográficaThe present work aimed to characterize the horizontal structure of an area of primary Amazonian Forest and the spatial distribution of the species Goupia glabra (Aubl.), Qualea spp. and Dipteryx odorata (Aubl.) Willd. through the analysis of the Kernel density, aiming to support the planning of forest management. The study area is located in Santa Carmem, microregion of Sinop, state of Mato Grosso (1,024 ha), where all individuals with a diameter of 1,30 m from the ground ≥ 30 cm were measured. The absolute and relative densities, frequencies and dominances were calculated, in addition to the importance and coverage value indices. Kernel density and species level dispersion analysis were obtained using the ArcGIS program. The area was classified by the Shannon index as low diversity and more than 50% of the species were classified with a tendency to cluster. Qualea spp. presented the highest values ​​for all analyzed parameters. It was observed that the highest concentration of individuals occurs in the diametric classes that can be exploited. The application of Kernel density appears as a promising tool for planning sustainable forest management, allowing the definition of preferential zones for sustainable exploitation.O presente trabalho teve como objetivo caracterizar a estrutura horizontal de uma área da Floresta Amazônica primária e a distribuição espacial das espécies Goupia glabra (Aubl.), Qualea spp. e Dipteryx odorata (Aubl.) Willd., por meio da análise da densidade de Kernel, visando embasar o planejamento do manejo florestal. A área de estudo localiza-se em Santa Carmem, microrregião de Sinop, estado do Mato Grosso (1.024 ha), onde foram  mensurados todos os indivíduos com diâmetro a 1,30 m do solo ≥ 30 cm. Foram calculadas as densidades, frequências e dominâncias, absolutas e relativas, além dos índices de valor de importância e de cobertura. A densidade de Kernel e a análise de dispersão em nível de espécie foram obtidas com o programa ArcGIS. A área foi classificada pelo índice de Shannon como de baixa diversidade e mais de 50% das espécies foram classificadas com tendência a agrupamento. Qualea spp. apresentou os maiores valores para todos os parâmetros analisados. Observou-se que a maior concentração de indivíduos se dá nas classes diamétricas passíveis de exploração.  A aplicação da densidade de Kernel surge como uma ferramenta promissora ao planejamento do manejo florestal sustentável, permitindo a definição de zonas preferenciais para exploração sustentável.Embrapa Florestas2021-04-19info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/octet-streamhttps://pfb.cnpf.embrapa.br/pfb/index.php/pfb/article/view/209810.4336/2021.pfb.41e202002098Pesquisa Florestal Brasileira; v. 41 (2021)Pesquisa Florestal Brasileira; Vol. 41 (2021)1983-26051809-3647reponame:Pesquisa Florestal Brasileira (Online)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPAporhttps://pfb.cnpf.embrapa.br/pfb/index.php/pfb/article/view/2098/1630Copyright (c) 2021 Mariana Ferraz Oliveira, Patricia Povoa de Mattos, Marilice Codeiro Garrastazu, Evaldo Muñoz Braz, Afonso Figueiredo Filho, Nelson Carlos Rosothttps://creativecommons.org/licenses/by-nc-nd/4.0info:eu-repo/semantics/openAccessOliveira, Mariana FerrazMattos, Patricia Povoa deGarrastazu, Marilice CordeiroBraz, Evaldo MuñozFigueiredo Filho, AfonsoRosot, Nelson Carlos2021-11-18T11:01:58Zoai:pfb.cnpf.embrapa.br/pfb:article/2098Revistahttps://pfb.cnpf.embrapa.br/pfb/index.php/pfb/PUBhttps://pfb.cnpf.embrapa.br/pfb/index.php/pfb/oaipfb@embrapa.br || revista.pfb@gmail.com || patricia.mattos@embrapa.br1983-26051809-3647opendoar:2021-11-18T11:01:58Pesquisa Florestal Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false
dc.title.none.fl_str_mv Horizontal structure analysis by Kernel density as basis to forest management in Amazonia
Análise da estrutura horizontal por densidade de Kernel como subsídio ao manejo florestal na Amazônia
title Horizontal structure analysis by Kernel density as basis to forest management in Amazonia
spellingShingle Horizontal structure analysis by Kernel density as basis to forest management in Amazonia
Oliveira, Mariana Ferraz
Terra Firme Forest
Dispersion
Geographic Information System
Floresta de Terra Firme
Dispersão
Sistema de Informação Geográfica
title_short Horizontal structure analysis by Kernel density as basis to forest management in Amazonia
title_full Horizontal structure analysis by Kernel density as basis to forest management in Amazonia
title_fullStr Horizontal structure analysis by Kernel density as basis to forest management in Amazonia
title_full_unstemmed Horizontal structure analysis by Kernel density as basis to forest management in Amazonia
title_sort Horizontal structure analysis by Kernel density as basis to forest management in Amazonia
author Oliveira, Mariana Ferraz
author_facet Oliveira, Mariana Ferraz
Mattos, Patricia Povoa de
Garrastazu, Marilice Cordeiro
Braz, Evaldo Muñoz
Figueiredo Filho, Afonso
Rosot, Nelson Carlos
author_role author
author2 Mattos, Patricia Povoa de
Garrastazu, Marilice Cordeiro
Braz, Evaldo Muñoz
Figueiredo Filho, Afonso
Rosot, Nelson Carlos
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Oliveira, Mariana Ferraz
Mattos, Patricia Povoa de
Garrastazu, Marilice Cordeiro
Braz, Evaldo Muñoz
Figueiredo Filho, Afonso
Rosot, Nelson Carlos
dc.subject.por.fl_str_mv Terra Firme Forest
Dispersion
Geographic Information System
Floresta de Terra Firme
Dispersão
Sistema de Informação Geográfica
topic Terra Firme Forest
Dispersion
Geographic Information System
Floresta de Terra Firme
Dispersão
Sistema de Informação Geográfica
description The present work aimed to characterize the horizontal structure of an area of primary Amazonian Forest and the spatial distribution of the species Goupia glabra (Aubl.), Qualea spp. and Dipteryx odorata (Aubl.) Willd. through the analysis of the Kernel density, aiming to support the planning of forest management. The study area is located in Santa Carmem, microregion of Sinop, state of Mato Grosso (1,024 ha), where all individuals with a diameter of 1,30 m from the ground ≥ 30 cm were measured. The absolute and relative densities, frequencies and dominances were calculated, in addition to the importance and coverage value indices. Kernel density and species level dispersion analysis were obtained using the ArcGIS program. The area was classified by the Shannon index as low diversity and more than 50% of the species were classified with a tendency to cluster. Qualea spp. presented the highest values ​​for all analyzed parameters. It was observed that the highest concentration of individuals occurs in the diametric classes that can be exploited. The application of Kernel density appears as a promising tool for planning sustainable forest management, allowing the definition of preferential zones for sustainable exploitation.
publishDate 2021
dc.date.none.fl_str_mv 2021-04-19
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://pfb.cnpf.embrapa.br/pfb/index.php/pfb/article/view/2098
10.4336/2021.pfb.41e202002098
url https://pfb.cnpf.embrapa.br/pfb/index.php/pfb/article/view/2098
identifier_str_mv 10.4336/2021.pfb.41e202002098
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://pfb.cnpf.embrapa.br/pfb/index.php/pfb/article/view/2098/1630
dc.rights.driver.fl_str_mv https://creativecommons.org/licenses/by-nc-nd/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/octet-stream
dc.publisher.none.fl_str_mv Embrapa Florestas
publisher.none.fl_str_mv Embrapa Florestas
dc.source.none.fl_str_mv Pesquisa Florestal Brasileira; v. 41 (2021)
Pesquisa Florestal Brasileira; Vol. 41 (2021)
1983-2605
1809-3647
reponame:Pesquisa Florestal Brasileira (Online)
instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
instname_str Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron_str EMBRAPA
institution EMBRAPA
reponame_str Pesquisa Florestal Brasileira (Online)
collection Pesquisa Florestal Brasileira (Online)
repository.name.fl_str_mv Pesquisa Florestal Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
repository.mail.fl_str_mv pfb@embrapa.br || revista.pfb@gmail.com || patricia.mattos@embrapa.br
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