Spatial variation features description of soil available P, K, Mg and soil pH by proportional effect
Brodsky, L.(Ceska Zemedelska Univ., Prague (Czech Republic). Fakulta Agrobiologie, Potravinovych a Prirodnich Zdroju)E-mail:[email protected] | Szakova, J. | Bazalova, M. | Penizek, V.
Content of available P, K, and Mg, and soil pH were analysed on nine agricultural fields in the Czech Republic. Firstly, strong direct within-field proportional effect based on Moving Window Statistics (MWS) was found for soil P and K. Soil pH showed inverse proportional effect with high field-to-field fluctuations. The relationship was functionally related to the asymmetry (skewness) of distribution (r = 0.31 x skew 0.08). Secondly, between-field proportional effect showed generally parallel results with the MWS approach. Proportionality was not scale dependent. Models for prediction of proportional variogram parameters were calculated. Correlation coefficients of the relationship between semivariance parameters and mean showed that sill-nugget is more stable (r = 0.74 for P and 0.83 for K) than nugget (r = 0.30 for P and 0.53 for K).
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