A research conducted by the researchers of the MTA Centre for Ecological Research resulted in the multiple potential natural vegetation map of Hungary, which is now available for scientists. Predictive ecological models for 39 climax and subclimax habitats were built based on the Hungarian Actual Habitat Database (MÉTA).
Environmental predictors were, among others, the fine-resolution, downscaled climate (CarpatClim-Hu database) and soil (DOSoReMI.hu database) data. The trained models can predict the probability of occurrence of the habitats (potential distribution). Potential occurrence is predicted in an ordinal scale ranging from 0 (lowest) to 4 (highest probability) in all the studied locations.
While the results of the research are available for researchers in the resolution of MÉTA database (cca 700 m) with prior permission of MÉTA Board, low-resolution maps are freely downloadable from http://www.novenyzetiterkep.hu/node/potveg_en. The results are published in the Journal of Vegetation Science.
Imelda Somodi, Zsolt Molnár, Bálint Czúcz, Ákos Bede-Fazekas, János Bölöni, László Pásztor, Annamária Laborczi, Niklaus E. Zimmermann (2017): Implementation and application of Multiple Potential Natural Vegetation models – a case study of Hungary. Journal of Vegetation Science. DOI: 10.1111/jvs.12564