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  • Author or Editor: L. Pásztor x
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The national soil-mapping project initiated and led by Kreybig was unique being a national, large-scale survey based on field and laboratory soil analysis and in the meantime serving practical purposes. By its completion, in the early 1950s, Hungary was the first country in the world having such detailed soil information for the whole country. The Kreybig maps are still timely, because the temporal changes in the mapped soil characteristics are not significant. The GIS adaptation of information originating from this survey is under construction, but there is more utilizable information originating from this survey, than it was published in the map series and in reports, and what is provided by simply archiving them digitally. Compilation of the Digital Kreybig Soil Information System as a national spatial soil information system involves both its integration within appropriate spatial data infrastructure and updating with efficient field correlation, which make an inherent refinement and upgrading of the system possible. The field-based updating of DKSIS using field GIS technology by the implication of recent data collected at revisited sites makes the comparison of archived and newly surveyed soil state possible. This, in one hand, should be recorded in the database by updating it. On the other hand, trends can be identified in soil characteristics, thus processes can be realized and/or forecasted. Based on the upgraded database we produce soil maps (i) displaying recent state of soils (ii) with increased accuracy and (iii) according to the soil-mapping concept elaborated by Kreybig et al.

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EU’s Common Agricultural Policy encourages maintaining agricultural production in less favored areas (LFA) to secure both stable production and income to farmers and to protect the environment. Recently the delimitation of LFAs is suggested to be carried out using common biophysical diagnostic criteria on low soil productivity and poor climate conditions all over Europe. The criterion system was elaborated by European Commission’s Joint Research Center (JRC) and its operational implementation comes under member state competence. This process requires the existence of an adequate national spatial soil information system with appropriate data structure and spatial resolution as well as a proper methodology for its analysis. Hungary possesses an appropriate, nationwide, 1:25,000 scale legacy dataset originating from the national soil mapping project, which was digitally processed and developed into the Digital Kreybig Soil Information System (DKSIS). In the paper we present how DKSIS was applied for the identification and delineation of areas in Hungary concerned by the common biophysical criteria related to soil. Soil data linked to soil profiles and SMUs were jointly spatially analyzed for the compilation of nationwide digital maps displaying spatial distribution of specific limiting factors.

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An attempt is outlined for the compilation of an integrated and harmonized stratified soil physical database serving hydrologic modeling, as the basis of estimating soil hydraulic parameters in the unsaturated zone. Due to the appropriate spatial and thematic resolution and data processing status, the Digital Kreybig Soil Information System (DKSIS) and Hungarian Agrogeological Database (HAD) were chosen as pedological and agrogeological data sources for describing the soil physical properties in the unsaturated zone. The DKSIS contains legacy soil data (as hy, pH, salt, OM, CaCO 3 content, etc.) in finely stratified resolution (3–5 soil layers within 1.5–2.0 m), but lacks particle size data. HAD has a coarser stratification (8–15 layers within 8–10 m) with detailed particle size data. The five-cleft FAO texture classification can serve as an interface in their joint application. The particle size and hy data pairs from the existing Hungarian Soil Monitoring (TIM) network made it possible to define the relation between FAO texture class vs. hy value, and based on the HYPRES database each FAO texture class can be characterized by typical Mualem-van Genuchten parameter sets (Wösten et al., 1999). The compiled, harmonized database characterizes the distinguished soil and sediment layers – with a thickness of at least 10 cm – for a 690 km 2 large model area, describing their thickness and texture classes to the depth of the permanent groundwater level, in every single square kilometer cell of the model area. The compiled database is indispensable in the model simulation based analysis of regional water management problems like drought, flood and inland inundation.

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