Abstract:
The productivity of agrosystème or natural ecosystem depends essentially on variability of
soil properties on field scale. This work is for objective the modelling of soil reaction spatial
variability and electric conductivity by geostatistical approach. The work was realized on Hassi
Fehal region (Ghardaïa), samples were taken from depth from 0 to 25 cm and analyzed for the
salinity and pH of soil. The analysis combined by variance and annual variation rate of studied
parameters showed a very highly significant decrease of pH and salinity. The geostatistical analysis
revealed diverse models and levels for spatial distribution of studied properties. The results showed
a spatial dependence moderated in strong for pH and salinity. The variographic analysis showed
that the effect of nugget is very low for the ground reaction and nothing for salinity. The reach
varies of 30,25m for soil reaction to 48.13m for salinity. So confirming validity of adopted and
allowing future plans optimization of sampling. The results of crossed validation ended on
variograms models selection of most reliable to be known, circular and exponential, which were
used to realize of spatial variability cards by ordinary krigeage. Synthetically, the results indicate
that the agricultural intensification by cereals cultivation under pivot on Hassi Fehal region
influenced quantitatively and qualitatively the content and spatial variability of soil properties.
These results must be considered for an integrated and long-lasting lands management on these
similar regions.
