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

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 sui...

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Main Authors: Karina Rodrigues Santos, Patrícia Vieira Pompeu, Lucas Amaral de Melo, Renato Luiz Grisi Macedo, Soraya Alvarenga Botelho
Format: Article
Language:English
Published: Universidade Federal de Goiás 2019-05-01
Series:Pesquisa Agropecuária Tropical
Subjects:
Online Access:https://www.revistas.ufg.br/pat/article/view/53713
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author Karina Rodrigues Santos
Patrícia Vieira Pompeu
Lucas Amaral de Melo
Renato Luiz Grisi Macedo
Soraya Alvarenga Botelho
author_facet Karina Rodrigues Santos
Patrícia Vieira Pompeu
Lucas Amaral de Melo
Renato Luiz Grisi Macedo
Soraya Alvarenga Botelho
author_sort Karina Rodrigues Santos
collection DOAJ
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.
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spelling doaj.art-5ffeb7fd608741d98ca5a26ff744953f2022-12-22T02:21:23ZengUniversidade Federal de GoiásPesquisa Agropecuária Tropical1983-40632019-05-014910.1590/1983-40632019v4953713Zoning for edaphoclimatic aptitude of Bambusa vulgaris and Dendrocalamus giganteus in BrazilKarina Rodrigues Santos0Patrícia Vieira Pompeu1Lucas Amaral de Melo2Renato Luiz Grisi Macedo3Soraya Alvarenga Botelho4Universidade Federal de Lavras, Departamento de Ciências Florestais, Lavras, MG, Brasil.Universidade Estadual de Mato Grosso do Sul, Aquidauana, MS, Brasil.Universidade Federal de Lavras, Departamento de Ciências Florestais, Lavras, MG, Brasil.Universidade Federal de Lavras, Departamento de Ciências Florestais, Lavras, MG, Brasil.Universidade Federal de Lavras, Departamento de Ciências Florestais, Lavras, MG, Brasil.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.https://www.revistas.ufg.br/pat/article/view/53713species distribution modelingbamboogeoreferencing
spellingShingle Karina Rodrigues Santos
Patrícia Vieira Pompeu
Lucas Amaral de Melo
Renato Luiz Grisi Macedo
Soraya Alvarenga Botelho
Zoning for edaphoclimatic aptitude of Bambusa vulgaris and Dendrocalamus giganteus in Brazil
Pesquisa Agropecuária Tropical
species distribution modeling
bamboo
georeferencing
title 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_short 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
topic species distribution modeling
bamboo
georeferencing
url https://www.revistas.ufg.br/pat/article/view/53713
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