Dissertação
Funções de predição espacial de propriedades do solo
Fecha
2012-01-27Registro en:
ROSA, Alessandro Samuel. Spatial prediction functions of soil properties. 2012. 195 f. Dissertação (Mestrado em Agronomia) - Universidade Federal de Santa Maria, Santa Maria, 2012.
Autor
Rosa, Alessandro Samuel
Institución
Resumen
The possibility of mapping soil properties using soil spatial prediction functions
(SSPFe) is a reality. But is it possible to SSPFe to estimate soil properties such as the particlesize
distribution (psd) in a young, unstable and geologically complex geomorphologic
surface? What would be considered a good performance in such situation and what
alternatives do we have to improve it? With the present study I try to find answers to such
questions. To do so I used a set of 339 soil samples from a small catchment of the hillslope
areas of central Rio Grande do Sul. Multiple linear regression models were built using landsurface
parameters (elevation, convergence index, stream power index). The SSPFe explained
more than half of data variance. Such performance is similar to that of the conventional soil
mapping approach. For some size-fractions the SSPFe performance can reach 70%. Largest
uncertainties are observed in areas of larger geological heterogeneity. Therefore, significant
improvements in the predictions can only be achieved if accurate geological data is made
available. Meanwhile, SSPFe built on land-surface parameters are efficient in estimating the
psd of the soils in regions of complex geology. However, there still are questions that I
couldn t answer! Is soil mapping important to solve the main social and environmental issues
of our time? What if our activities were subjected to a social control as in a direct democracy,
would they be worthy of receiving any attention?