Use este identificador para citar ou linkar para este item: http://repositorio.ufla.br/jspui/handle/1/37119
Título: Modelagem da densidade do solo em profundidade sob vegetação nativa em Minas Gerais
Título(s) alternativo(s): Modeling bulk density of subsoil under native vegetation in Minas Gerais, Brazil
Palavras-chave: Função de pedotransferência
Regressão múltipla
Perfil de solo
Textura do solo
Densidade do solo
Pedotransfer function
Multiple regression
Soil profile
Soil texture
Bulk density
Data do documento: Jun-2015
Editor: Sociedade Brasileira de Ciência do Solo (SBCS)
Citação: PÁDUA, E. J. de; GUERRA, A. R.; ZINN, Y. L. Modelagem da densidade do solo em profundidade sob vegetação nativa em Minas Gerais. Revista Brasileira de Ciência do Solo, Viçosa, MG, v. 39, n. 3, p. 725-736, mai./jun. 2015. DOI: 10.1590/01000683rbcs20140028.
Resumo: Bulk density (ρb) is an important indicator of soil physical quality, but it is seldom assessed at greater depths due to sampling difficulties. Pedotransfer functions have been relatively successful in estimating ρb, but specific functions for most Brazilian biomes are not available. The aim of this study was to develop mathematical functions to describe ρb to a depth of 1 m in areas of native vegetation in central and southern Minas Gerais, Brazil. For determination of ρb, soil core samples were taken of 53 profiles of different soil orders at six depth intervals (0-5, 5-10, 10-20, 30-40, 50-60 and 90-100 cm). The soil ρb ranged from 0.66 to 1.74 kg dm-3, with a mean of 1.25 kg dm-3, and was generally lower in the 0-5 and 5-10 cm layers. Models based on particle size analysis and standard chemical properties were created by multiple stepwise linear regression and were able to describe ρb to a depth of 1 m. Soil organic carbon and clay, silt, and sand contents, as well as cation exchange capacity at pH 7.0, were the most relevant variables in the models, which achieved higher accuracy for Oxisols (R2ajust = 0.85), followed by Inceptisols (R2ajust = 0.69), nitic Alfisols (R2ajust = 0.67), and Ultisols (R2ajust = 0.51). Since modeling for the whole database resulted in R2ajust = 0.50, we conclude that stratification by soil order was useful for improving the equations, with the exception of the Ultisol order.
URI: http://repositorio.ufla.br/jspui/handle/1/37119
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