Geoestatística para o mapeamento da variabilidade espacial de atributos físicos do solo

• Autor(a) principal: Guimarães, Wellington Donizete
• Data de Publicação: 2013
• Tipo de documento: Tese
• Idioma: por
• Título da fonte: LOCUS Repositório Institucional da UFV
• Texto Completo: http://locus.ufv.br/handle/123456789/835
• topic: Atributos físicos do solo; Geoestatística; Semivariograma; Variabilidade espacial; Soil physical attributes; Geostatistics; Semivariogram; Spatial variability; CNPQ::CIENCIAS EXATAS E DA TERRA::GEOCIENCIAS

The general aim of this paper was to map the spatial variability of the soil physical attributes, soil hydraulic conductivity in saturated soil, soil density, micro porosity, macro porosity as well as total porosity, and its relationship with the land usage and soil classes. Four study areas were evaluated; three of them occupied by pastures and soils from the classes Latosol, Argisol and Cambisol, as well as a secondary forest and Latosol. In each study area, one hundred and fifty four georeferenced samples were collected. In order to analyze the data descriptive statistics and geostatistics were used. Regarding the spatial variability pattern of the soil physical attributes for the areas of Latosol, Argisol and Cambisol occupied by pastures, one concluded that: the pattern of spatial dependence was not kept steady and consequently the soil classes influenced the spatial variability of the physical attributes in the analyzed soil; the average was not enough to represent the spatial distribution of the analyzed variables; the used sample mesh was adequate, for it allowed to capture the spatial dependence in most of the analyzed variables. Regarding the pattern of the spatial variability of the soil physical attributes for the areas of Latosol occupied by pasture and secondary forest, one concluded that: the pattern of spatial dependence varied according to the usage of the land; the average was not enough to represent the interpolated surfaces; the sample mesh used in the study was adequate, for it was possible to detect the spatial dependence in all the analyzed cases.