Spatial pattern of Amazonian timber species using cartesian and spatial coordinates method

Detalhes bibliográficos
Autor(a) principal: Condé, Tiago Monteiro
Data de Publicação: 2023
Outros Autores: Tonini, Helio, Silva, Fernando da, Barni, Paulo Eduardo, Souza Celes, Carlos Henrique, Araujo, Raquel Fernandes de, Assis Campos, Moacir Alberto, Carneiro de Miranda, Dirceu Lucio
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/1111
Resumo: Geographic information system (GIS) applied to forest analysis permit the recognition and analysis of spatial patterns of species in two and three dimensional. The aim of this study to demonstrate the efficiency of cartesian and spatial coordinates method (MCCE), method of correcting UTM coordinates of trees location in accordance with the location of field or Cartesian (X ,Y), combined with natural neighbor index (ANND) in recognition and analysis of spatial distribution patterns of four commercial timber species in forest management in Caracaraí, Roraima State, Brazil. Simulations were performed on 9 ha, divided into 100 plots of 100 m2 each. Collected data were DBH > 10 cm, commercial and total heights, cartesian coordinates (X,Y) and spatial coordinates (UTM). Random spatial patterns were observed in Eschweilera bracteosa and Manilkara huberi. The dispersed and rare spatial patterns were observed in Dinizia excelsa and Cedrelinga cateniformis. MCCE proved to be an efficient method in the recognition and analysis of spatial patterns of native species from Amazon rain forest, as forest planning becomes easier by 2D and 3D simulations.
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spelling Spatial pattern of Amazonian timber species using cartesian and spatial coordinates methodPadrão espacial de espécies madeireiras da Amazônia pelo método de coordenadas cartesianas e espaciaisSistema de informação geográficaManejo florestalÍndice do vizinho naturalGeographic information systemForest managementNatural neighbor indexGeographic information system (GIS) applied to forest analysis permit the recognition and analysis of spatial patterns of species in two and three dimensional. The aim of this study to demonstrate the efficiency of cartesian and spatial coordinates method (MCCE), method of correcting UTM coordinates of trees location in accordance with the location of field or Cartesian (X ,Y), combined with natural neighbor index (ANND) in recognition and analysis of spatial distribution patterns of four commercial timber species in forest management in Caracaraí, Roraima State, Brazil. Simulations were performed on 9 ha, divided into 100 plots of 100 m2 each. Collected data were DBH > 10 cm, commercial and total heights, cartesian coordinates (X,Y) and spatial coordinates (UTM). Random spatial patterns were observed in Eschweilera bracteosa and Manilkara huberi. The dispersed and rare spatial patterns were observed in Dinizia excelsa and Cedrelinga cateniformis. MCCE proved to be an efficient method in the recognition and analysis of spatial patterns of native species from Amazon rain forest, as forest planning becomes easier by 2D and 3D simulations.A utilização de sistemas de informação geográfica (SIG) no planejamento florestal possibilita a análise e o reconhecimento de padrões espaciais das espécies florestais em perfil bidimensional e tridimensional. O objetivo deste estudo foi demonstrar a eficiência do método de coordenadas cartesianas e espaciais (MCCE), método de correção da localização das coordenadas UTM das árvores em concordância com a localização de campo ou cartesianas (X,Y), aliado ao cálculo do índice do vizinho natural (ANND) no reconhecimento e análise de padrões espaciais de quatro espécies comerciais madeireiras em área de manejo florestal em Caracaraí, RR, Brasil. O ANND pressupõe completa aleatoriedade espacial.Simulações foram realizadas em 9 ha, subdivididos em 100 subparcelas de 100 m2 cada. Foram coletados: o diâmetro (DAP > 10 cm), alturas comercial e total, volume comercial e as coordenadas cartesianas (X,Y) e espaciais (UTM). Foram observados padrões espaciais aleatórios para Eschweilera bracteosa e Manilkara huberi. Os padrões espaciais dispersos e raros foram mais observados em Cedrelinga cateniformis e Dinizia excelsa. O MCCE demonstrou ser um método eficiente para o reconhecimento e análise de padrões espaciais de espécies nativas da floresta tropical amazônica, facilitando o planejamento florestal mediante simulações 2D e 3D da floresta.Embrapa Florestas2023-03-16info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://pfb.cnpf.embrapa.br/pfb/index.php/pfb/article/view/111110.4336/2016.pfb.36.86.1111Pesquisa Florestal Brasileira; v. 36 n. 86 (2016): abr./jun.; 115-125Pesquisa Florestal Brasileira; Vol. 36 No. 86 (2016): abr./jun.; 115-1251983-26051809-3647reponame:Pesquisa Florestal Brasileira (Online)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPAporhttps://pfb.cnpf.embrapa.br/pfb/index.php/pfb/article/view/1111/500Copyright (c) 2016 Tiago Monteiro Condé, Helio Tonini, Fernando da Silva, Paulo Eduardo Barni, Carlos Henrique Souza Celes, Raquel Fernandes de Araujo, Moacir Alberto Assis Campos, Dirceu Lucio Carneiro de Mirandahttps://creativecommons.org/licenses/by-nc-nd/4.0info:eu-repo/semantics/openAccessCondé, Tiago MonteiroTonini, HelioSilva, Fernando daBarni, Paulo EduardoSouza Celes, Carlos HenriqueAraujo, Raquel Fernandes deAssis Campos, Moacir AlbertoCarneiro de Miranda, Dirceu Lucio2023-03-16T12:50:18Zoai:pfb.cnpf.embrapa.br/pfb:article/1111Revistahttps://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:2023-03-16T12:50:18Pesquisa Florestal Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false
dc.title.none.fl_str_mv Spatial pattern of Amazonian timber species using cartesian and spatial coordinates method
Padrão espacial de espécies madeireiras da Amazônia pelo método de coordenadas cartesianas e espaciais
title Spatial pattern of Amazonian timber species using cartesian and spatial coordinates method
spellingShingle Spatial pattern of Amazonian timber species using cartesian and spatial coordinates method
Condé, Tiago Monteiro
Sistema de informação geográfica
Manejo florestal
Índice do vizinho natural
Geographic information system
Forest management
Natural neighbor index
title_short Spatial pattern of Amazonian timber species using cartesian and spatial coordinates method
title_full Spatial pattern of Amazonian timber species using cartesian and spatial coordinates method
title_fullStr Spatial pattern of Amazonian timber species using cartesian and spatial coordinates method
title_full_unstemmed Spatial pattern of Amazonian timber species using cartesian and spatial coordinates method
title_sort Spatial pattern of Amazonian timber species using cartesian and spatial coordinates method
author Condé, Tiago Monteiro
author_facet Condé, Tiago Monteiro
Tonini, Helio
Silva, Fernando da
Barni, Paulo Eduardo
Souza Celes, Carlos Henrique
Araujo, Raquel Fernandes de
Assis Campos, Moacir Alberto
Carneiro de Miranda, Dirceu Lucio
author_role author
author2 Tonini, Helio
Silva, Fernando da
Barni, Paulo Eduardo
Souza Celes, Carlos Henrique
Araujo, Raquel Fernandes de
Assis Campos, Moacir Alberto
Carneiro de Miranda, Dirceu Lucio
author2_role author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Condé, Tiago Monteiro
Tonini, Helio
Silva, Fernando da
Barni, Paulo Eduardo
Souza Celes, Carlos Henrique
Araujo, Raquel Fernandes de
Assis Campos, Moacir Alberto
Carneiro de Miranda, Dirceu Lucio
dc.subject.por.fl_str_mv Sistema de informação geográfica
Manejo florestal
Índice do vizinho natural
Geographic information system
Forest management
Natural neighbor index
topic Sistema de informação geográfica
Manejo florestal
Índice do vizinho natural
Geographic information system
Forest management
Natural neighbor index
description Geographic information system (GIS) applied to forest analysis permit the recognition and analysis of spatial patterns of species in two and three dimensional. The aim of this study to demonstrate the efficiency of cartesian and spatial coordinates method (MCCE), method of correcting UTM coordinates of trees location in accordance with the location of field or Cartesian (X ,Y), combined with natural neighbor index (ANND) in recognition and analysis of spatial distribution patterns of four commercial timber species in forest management in Caracaraí, Roraima State, Brazil. Simulations were performed on 9 ha, divided into 100 plots of 100 m2 each. Collected data were DBH > 10 cm, commercial and total heights, cartesian coordinates (X,Y) and spatial coordinates (UTM). Random spatial patterns were observed in Eschweilera bracteosa and Manilkara huberi. The dispersed and rare spatial patterns were observed in Dinizia excelsa and Cedrelinga cateniformis. MCCE proved to be an efficient method in the recognition and analysis of spatial patterns of native species from Amazon rain forest, as forest planning becomes easier by 2D and 3D simulations.
publishDate 2023
dc.date.none.fl_str_mv 2023-03-16
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/1111
10.4336/2016.pfb.36.86.1111
url https://pfb.cnpf.embrapa.br/pfb/index.php/pfb/article/view/1111
identifier_str_mv 10.4336/2016.pfb.36.86.1111
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/1111/500
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/pdf
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. 36 n. 86 (2016): abr./jun.; 115-125
Pesquisa Florestal Brasileira; Vol. 36 No. 86 (2016): abr./jun.; 115-125
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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