PEDOTRANSFER FUNCTION TO ESTIMATE THE SOIL STRUCTURAL “S” INDEX AND SPATIAL VARIABILITY IN AN OXISOL WITHIN A LIVESTOCK FARMING SYSTEM
AUTOR(ES)
Tavanti, Renan F. R.; Montanari, Rafael; Panosso, Alan R.; Freddi, Onã da S.; Paz-González, Antonio
FONTE
Eng. Agríc.
DATA DE PUBLICAÇÃO
2020-02
RESUMO
ABSTRACT Various attributes are often required to build soil quality indicators. However, determining these attributes is time-consuming and requires several specific devices. Thus, it is desirable to develop indexes that express soil quality based on easily determined attributes. The objective of this study was to investigate the spatial variability of the S index and its correlation with other physical and chemical soil attributes to generate a pedotransfer function for estimating the S index. A georeferenced sampling mesh covering 1.4 ha and employing 71 points was installed. The soil samples were collected in 0.00–0.15 m and 0.15–0.30 m deep layers to determine the physical and chemical attributes. The results indicated that the S index was correlated with porosity, carbon stocks, cation exchange capacity, and particle size fractions. However, macroporosity, microporosity, and sand content were the most suitable attributes for the construction of pedotransfer functions. A principal component analysis indicated that the S index was representative of 9.4% and 11.5% of the total variability in the dataset in the respective soil layers. Spherical semivariogram models showed that the S index was spatially dependent and ranged between 84–188 m. The S index maps estimated by the pedotransfer function resemble the observed S values; therefore, the function can be applied in spatial variability studies.
Documentos Relacionados
- Spatial variability of crop and soil properties in a crop-livestock integrated system.
- SPATIAL VARIABILITY OF THE SATURATED HYDRAULIC CONDUCTIVITY OF SOIL IN COCOA FARMING IN RECÔNCAVO BAIANO
- Mobilização, atributos do solo e variabilidade espacial em integração lavoura-pecuária
- Pedotransfer functions to estimate bulk density from soil properties and environmental covariates: Rio Doce basin
- Soil structural quality degradation by the increase in grazing intensity in integrated crop-livestock system