Use este identificador para citar ou linkar para este item: http://repositorio.ufla.br/jspui/handle/1/13345
Título: Zoneamento de aptidão edafoclimática de espécies de bambu com potencial silvicultural produtivo para o Brasil
Título(s) alternativo(s): Zoning for edaphoclimatic aptitude of bamboo species with forestry production potential for Brazil
Autores: Macedo, Renato Luiz Grisi
Pompeu, Patrícia Vieira
Pompeu, Patricia Vieira
Melo, Lucas Amaral de
Venturin, Regis Pereira
Carvalho, Josina Aparecida de
Palavras-chave: Bambu - Espécies
Bambu - Cultivo
Modelagem de distribuição de espécies
Bambu - Adaptação
Bamboo - Species
Bambu - Cultivation
Species distribution modeling
Bamboo - Adaptation
Data do documento: 14-Jul-2017
Editor: Universidade Federal de Lavras
Citação: SANTOS, K. R. Zoneamento de aptidão edafoclimática de espécies de bambu com potencial silvicultural produtivo para o Brasil. 2017. 81 p. Dissertação (Mestrado em Engenharia Florestal)-Universidade Federal de Lavras, Lavras, 2017.
Resumo: It is notable that, with the increase of the world population, the demand for several natural wood resources has considerably increased. Thus, it is ever more necessary to use species that present rapid growth, good quality and that can be used as raw matter for different ends. In this context, the bamboo has gained prominence as a viable alternative to supply the demand for such resources. However, researches that favor its use in the forestry sector are still needed. In this work, four species of bamboo, Guadua angustifolia, Guadua chacoensis, Dendrocalamus giganteus and Bambusa vulgaris, are presented with the objective of predicting favorable areas for the better establishment and development of such species in the Brazilian territory, working as a zoning for edaphoclimatic aptitude, which can aid in decision-making. The study was conducted using georeferenced points of occurrence of the species, collected from online herbariums and environmental variables extracted from the WorldClim, MOD16 and SoilGrids databases, widely used for the predictive modeling of species distribution. The Statistica software was used for the correlation and principal component (PCA) statistical analyses. For creating the models, the Maxent software was used, evaluated by the AUC metric. The final maps were elaborated with the aid of the ArcGis software. The results indicated that the Guadua angustifolia, Guadua chacoensis and Bambusa vulgaris species presented extensive area of adaptation possibilities in the Brazilian territory, unlike the Dendrocalamus giganteus species, which showed adaptation in more restricted areas.
URI: http://repositorio.ufla.br/jspui/handle/1/13345
Aparece nas coleções:Engenharia Florestal - Mestrado (Dissertações)



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