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.
AGROTOPO, 1994. Spatial Soil Information System. RISSAC HAS, Budapest, http://www.mta-taki.hu/en/departments/gis-lab/databases
Commission of the European Communities, 2009. Towards a better targeting of the aid to farmers in areas with natural handicaps. COM(2009) 161. Brussels.
Burger, A., 1998. Land valuation and land rents in Hungary. Land Use Policy. 15. (3) 191–201.
Dömsödi, J., 2006. Land use. (In Hungarian) Budapest-Pécs: Editorial Campus.
Isaaks, E. H. & Srivastava, R. M., 1989. An Introduction to Applied Geostatistics. Oxford Univ. Press. New York–Oxford.
Kreybig, L., 1937. The survey, analytical and mapping method of the Hungarian Royal Institute of Geology (in Hungarian and German). M. Kir. Földtani Intézet Évkönyve. 31. 147–244.
Kreybig, L., 1946. Natural conditions of Hungary and agricultural production. (In Hungarian). Magyar Mezőgazdasági Művelődési Társaság kiadása. Budapest.
Lee, G. S. & Lee, K. H., 2006. Application of fuzzy representation of geographic boundary to the soil loss model Hydrol. Earth Syst. Sci. Discuss. 3. 115–133.
Marinoni, O., 2003. Improving geological models using a combined ordinary-indicator-kriging approach. Engineering Geology. 69. 37–45.
National Rural Development Plan for the EAGGF Guarantee Section Measures, 2004. Budapest.
Pásztor, L., Szabó, J. & Bakacsi, Zs., 2010. Digital processing and upgrading of legacy data collected during the 1:25 000 scale Kreybig soil survey. Acta Geodaetica et Geophysica Hungarica. 45. 127–136.
Pásztor, L. et al., 2006. Large-scale soil maps improved by digital soil mapping and GIS-based soil status assessment. Agrokémia és Talajtan. 55. 79–88.
van Orshoven, J., Terres, J. M. & Eliasson, A., 2008. Common biophysical criteria to define natural constraints for agriculture in Europe. Definition and scientific justification for the common criteria. JRC Scientific and Technical Report. EUR 23412 EN.
Várallyay, Gy., 1989. Soil mapping in Hungary. Agrokémia és Talajtan. 38. 696–714.
Várallyay, Gy., 2005. Soil survey and soil monitoring in Hungary. In: Soil Resources of Europe. (Eds.: Jones, R. J. A. et al.) 169–179. ESB Research Report No. 9. (2nd ed.). JRC. Ispra.
Wang, F. & Hall, G. B., 1996. Fuzzy representation of geographical boundaries in GIS. Int. J. Geographic Information System. 10. (5) 573–590.