Taking the regional total SOC changes based on the most detailed soil map, P5, as a reference, the relative deviation of those derived from the P25, P50, P100, P400, and P1000 were 7.86%, 4.86%, 2.21%, 3.67%, and 1.51%, respectively.
Most small-scale soil maps report dominant typological units and allow only a partial appraisal of pedodiversity since territories with similar dominant soils can actually possess different pedodiversity.
Most of the soil maps produced by academy in those years were mainly aimed at improving the knowledge of the Italian soils, their general relationships with the environmental factors and their distribution, and with few exceptions their applicability was limited.
However, most of the regional SOC modeling often uses soil maps with a fixed scale, thus how varying map scales influence modeled SOC dynamics has rarely been quantified.
Diverse projects are being carried out worldwide focusing on development of more accurate soil maps and one of the most valuable sources of data are the existing soil maps.
Reconnaissance soil maps at 1 250,000 scale are the most detailed source of soil information for large parts of France.
While most 3D models make use of spatial autocorrelation to create soil maps, it might be feasible for upscaling to neglect the spatial autocorrelation and only model autocorrelation within the soil profiles.
The two have used Google Earth, soil maps and topographical maps to predict the spots where ramps are most likely to grow and to expand the picking rotation.
Most soil surveys are published with some description of the soil landscape relationships that distinguish component soils within map units.
The individual wetland type most highly correlated (r > 0.62) with stream DOC concentrations was conifer peatland, represented on the NWI maps as Palustrine Needle-leaved Forest, the NLCD maps as woody wetland, and the soil maps as organic soils.
