Zoning for edaphoclimatic aptitude of Bambusa vulgaris and Dendrocalamus giganteus in Brazil

Detalhes bibliográficos
Autor(a) principal: Santos, Karina Rodrigues
Data de Publicação: 2019
Outros Autores: Pompeu, Patrícia Vieira, de Melo, Lucas Amaral, Macedo, Renato Luiz Grisi, Botelho, Soraya Alvarenga
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Pesquisa Agropecuária Tropical (Online)
Texto Completo: https://revistas.ufg.br/pat/article/view/53713
Resumo: The use of renewable materials and more sustainable processes are essential to minimize the negative impacts of population growth. Bamboo is a viable alternative, because it is a product with potential properties for wood replacement. However, to achieve a good yield, it is necessary to identify suitable sites for the forestry of the species. This study aimed to forecast favorable areas for the best establishment and development of Bambusa vulgaris and Dendrocalamus giganteus in the Brazilian territory, functioning as a zoning for edaphoclimatic aptitude that can support decision-making. It was performed using georeferenced points of natural occurrence for the species, collected from a virtual herbarium. The environmental variables were extracted from the WorldClim, MOD16 and SoilGrids databases. In order to select the set of variables to be used for modeling each species, a correlation test was performed. From this result, ten environmental variables were used for each species, and non-correlated variables were chosen. A principal component analyses was applied to select the variables that better explained variability. For the distribution map, the Maxent algorithm was used, based on the principle of maximum entropy, evaluated by the AUC and TSS metrics. Bambusa vulgaris presents a large area for adaptation in the Brazilian territory, unlike the Dendrocalamus giganteus species, which showed a limited aptitude area. KEYWORDS: Species distribution modeling, bamboo, georeferencing.
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spelling Zoning for edaphoclimatic aptitude of Bambusa vulgaris and Dendrocalamus giganteus in BrazilZoneamento de aptidão edafoclimática de Bambusa vulgaris e Dendrocalamus giganteus para o BrasilThe use of renewable materials and more sustainable processes are essential to minimize the negative impacts of population growth. Bamboo is a viable alternative, because it is a product with potential properties for wood replacement. However, to achieve a good yield, it is necessary to identify suitable sites for the forestry of the species. This study aimed to forecast favorable areas for the best establishment and development of Bambusa vulgaris and Dendrocalamus giganteus in the Brazilian territory, functioning as a zoning for edaphoclimatic aptitude that can support decision-making. It was performed using georeferenced points of natural occurrence for the species, collected from a virtual herbarium. The environmental variables were extracted from the WorldClim, MOD16 and SoilGrids databases. In order to select the set of variables to be used for modeling each species, a correlation test was performed. From this result, ten environmental variables were used for each species, and non-correlated variables were chosen. A principal component analyses was applied to select the variables that better explained variability. For the distribution map, the Maxent algorithm was used, based on the principle of maximum entropy, evaluated by the AUC and TSS metrics. Bambusa vulgaris presents a large area for adaptation in the Brazilian territory, unlike the Dendrocalamus giganteus species, which showed a limited aptitude area. KEYWORDS: Species distribution modeling, bamboo, georeferencing.O uso de materiais renováveis ??e processos mais sustentáveis ??são essenciais para minimizar os impactos negativos do crescimento populacional. O bambu é uma alternativa viável, porque é um produto com propriedades potenciais de substituição à madeira. No entanto, para obter um bom rendimento, é necessário identificar locais adequados para a silvicultura das espécies. Objetivou-se prever áreas favoráveis ??ao melhor estabelecimento e desenvolvimento de Bambusa vulgaris e Dendrocalamus giganteus, em território brasileiro, funcionando como um zoneamento de aptidão edafoclimática que pode subsidiar a tomada de decisões. Utilizaram-se pontos georreferenciados de ocorrência natural das espécies, coletados em herbário virtual. As variáveis ambientais foram extraídas das bases de dados WorldClim, MOD16 e SoilGrids. Para selecionar o conjunto de variáveis a ser utilizado na modelagem de cada espécie, foi realizado um teste de correlação. A partir deste resultado, dez variáveis ambientais foram utilizadas para cada espécie, e variáveis não correlacionadas foram escolhidas. Uma análise de componentes principais foi aplicada para selecionar as variáveis que mais explicam a variabilidade. Para o mapa de distribuição, foi utilizado o algoritmo Maxent, baseado no princípio da entropia máxima, avaliado por meio das métricas AUC e TSS. B. vulgaris apresentou uma grande área para adaptação no território brasileiro, ao contrário da espécie D. giganteus, que mostrou área de aptidão limitada. PALAVRAS-CHAVE: Modelagem de distribuição de espécies, bambu, georreferenciamento.Escola de Agronomia - Universidade Federal de Goiás2019-04-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revistas.ufg.br/pat/article/view/53713Pesquisa Agropecuária Tropical [Agricultural Research in the Tropics]; Vol. 49 (2019); e53713Pesquisa Agropecuária Tropical (Agricultural Research in the Tropics); Vol. 49 (2019); e53713Pesquisa Agropecuária Tropical; v. 49 (2019); e537131983-4063reponame:Pesquisa Agropecuária Tropical (Online)instname:Universidade Federal de Goiás (UFG)instacron:UFGenghttps://revistas.ufg.br/pat/article/view/53713/32937Santos, Karina RodriguesPompeu, Patrícia Vieirade Melo, Lucas AmaralMacedo, Renato Luiz GrisiBotelho, Soraya Alvarengainfo:eu-repo/semantics/openAccess2020-03-02T15:45:01Zoai:ojs.revistas.ufg.br:article/53713Revistahttps://revistas.ufg.br/patPUBhttps://revistas.ufg.br/pat/oaiaseleguini.pat@gmail.com||mgoes@agro.ufg.br1983-40631517-6398opendoar:2024-05-21T19:56:23.170778Pesquisa Agropecuária Tropical (Online) - Universidade Federal de Goiás (UFG)true
dc.title.none.fl_str_mv Zoning for edaphoclimatic aptitude of Bambusa vulgaris and Dendrocalamus giganteus in Brazil
Zoneamento de aptidão edafoclimática de Bambusa vulgaris e Dendrocalamus giganteus para o Brasil
title Zoning for edaphoclimatic aptitude of Bambusa vulgaris and Dendrocalamus giganteus in Brazil
spellingShingle Zoning for edaphoclimatic aptitude of Bambusa vulgaris and Dendrocalamus giganteus in Brazil
Santos, Karina Rodrigues
title_short Zoning for edaphoclimatic aptitude of Bambusa vulgaris and Dendrocalamus giganteus in Brazil
title_full Zoning for edaphoclimatic aptitude of Bambusa vulgaris and Dendrocalamus giganteus in Brazil
title_fullStr Zoning for edaphoclimatic aptitude of Bambusa vulgaris and Dendrocalamus giganteus in Brazil
title_full_unstemmed Zoning for edaphoclimatic aptitude of Bambusa vulgaris and Dendrocalamus giganteus in Brazil
title_sort Zoning for edaphoclimatic aptitude of Bambusa vulgaris and Dendrocalamus giganteus in Brazil
author Santos, Karina Rodrigues
author_facet Santos, Karina Rodrigues
Pompeu, Patrícia Vieira
de Melo, Lucas Amaral
Macedo, Renato Luiz Grisi
Botelho, Soraya Alvarenga
author_role author
author2 Pompeu, Patrícia Vieira
de Melo, Lucas Amaral
Macedo, Renato Luiz Grisi
Botelho, Soraya Alvarenga
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Santos, Karina Rodrigues
Pompeu, Patrícia Vieira
de Melo, Lucas Amaral
Macedo, Renato Luiz Grisi
Botelho, Soraya Alvarenga
description The use of renewable materials and more sustainable processes are essential to minimize the negative impacts of population growth. Bamboo is a viable alternative, because it is a product with potential properties for wood replacement. However, to achieve a good yield, it is necessary to identify suitable sites for the forestry of the species. This study aimed to forecast favorable areas for the best establishment and development of Bambusa vulgaris and Dendrocalamus giganteus in the Brazilian territory, functioning as a zoning for edaphoclimatic aptitude that can support decision-making. It was performed using georeferenced points of natural occurrence for the species, collected from a virtual herbarium. The environmental variables were extracted from the WorldClim, MOD16 and SoilGrids databases. In order to select the set of variables to be used for modeling each species, a correlation test was performed. From this result, ten environmental variables were used for each species, and non-correlated variables were chosen. A principal component analyses was applied to select the variables that better explained variability. For the distribution map, the Maxent algorithm was used, based on the principle of maximum entropy, evaluated by the AUC and TSS metrics. Bambusa vulgaris presents a large area for adaptation in the Brazilian territory, unlike the Dendrocalamus giganteus species, which showed a limited aptitude area. KEYWORDS: Species distribution modeling, bamboo, georeferencing.
publishDate 2019
dc.date.none.fl_str_mv 2019-04-04
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://revistas.ufg.br/pat/article/view/53713
url https://revistas.ufg.br/pat/article/view/53713
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://revistas.ufg.br/pat/article/view/53713/32937
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 Escola de Agronomia - Universidade Federal de Goiás
publisher.none.fl_str_mv Escola de Agronomia - Universidade Federal de Goiás
dc.source.none.fl_str_mv Pesquisa Agropecuária Tropical [Agricultural Research in the Tropics]; Vol. 49 (2019); e53713
Pesquisa Agropecuária Tropical (Agricultural Research in the Tropics); Vol. 49 (2019); e53713
Pesquisa Agropecuária Tropical; v. 49 (2019); e53713
1983-4063
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instname_str Universidade Federal de Goiás (UFG)
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reponame_str Pesquisa Agropecuária Tropical (Online)
collection Pesquisa Agropecuária Tropical (Online)
repository.name.fl_str_mv Pesquisa Agropecuária Tropical (Online) - Universidade Federal de Goiás (UFG)
repository.mail.fl_str_mv aseleguini.pat@gmail.com||mgoes@agro.ufg.br
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