Uncertainty assessment of a soil quality index using geostatistics.

The article discusses a study which assessed the soil quality in the Asa-Picentino-Tusciano rivers basin in Italy using geostatistics. The proposed approach has allowed partitioning an area in south Italy into zones with different soil properties. The global quality index should be coupled with individual indicators for useful information about the main causes of a poor soil quality performance. The definition of quality indices for a given land area are critical for characterising the area and for establishing the best management to exploit the soil potential.