Geographical analysis of climate vulnerability at a regional scale: the case of the Southern Great Plain in Hungary

  • Jenő Zsolt Farkas Hungarian Academy of Sciences, CERS Institute for Regional Studies, Kecskemét, Hungary
  • Edit Hoyk Hungarian Academy of Sciences, CERS Institute for Regional Studies, Kecskemét, Hungary
  • János Rakonczai University of Szeged, Department of Physical Geography and Geoinformatics, Szeged, Hungary


This paper provides an example for regional scale analysis of climate vulnerability incorporating environmental as well as socio-economic indicators. Researches have focused on different aspects of climate vulnerability so far, but usually there is little connection between the physical and social dimensions. Our study provides a more complex analysis, which builds on the application of international indices which have been used on the local and regional levels very rarely. In our research we combined physical and human geographical approaches and research techniques. The physical geographical assessment is based on indicators referring to ground water levels and vegetation production, while the human geographical side of the analysis focuses on economic and social sensitivity, adaptation and exposure indices, combined in the so-called socio-economic climate vulnerability index. In the analysis we tried to figure out the most sensitive areas in the Hungarian Southern Great Plain region. The main findings of the study are "hot spots" which coincide on both analyses, therefore, the most sensitive areas under current climate change conditions could be delimited. This study also demonstrates that the resolution of global climate change vulnerability indices is not suitable for regional scale analysis because of the significant territorial differences. Therefore, local or regional scale assessments are needed for the preparation of strategies for the elaboration of mitigation and adaptation policies.


Aaheim, A., Amundsen, H., Dokken, T. and Wei, T. 2012. Impacts and adaptation to climate change in European economies. Global Environmental Change 22. 959-968.

Becken, S. 2013. A review of tourism and climate change as an evolving knowledge domain. Tourism Management Perspectives 6. 53-62.

Borden, K.A., Schmidtlein, M.C., Emrich, Ch. T., Piegorsch, W.W. and Cutter, S.L. 2007. Vulnerability of US Cities to Environmental Hazards. Journal of Homeland Security and Emergency Management 2. 14-27.

Castree, N. 2014. The Anthropocene and geography I: The back story. Geography Compass 8. (7): 436-449.

Christensen, J. H., Carter, T. R., Rummukainen, M. and Amanatidis, G. 2007. Evaluating the performance and utility of regional climate models: the PRUDENCE project. Climatic Change 81. 1-6.

Czúcz, B., Molnár, Zs. and Kröel-Dulay, Gy. 2010. A természetes élovilág és az éghajlatváltozás - a modellezés lehetoségei (The natural wildlife and the climate change - possibilities of modelling). In Meteorológiai Tudományos Napok: Változó éghajlat és következményei a Kárpát-medencében. Ed.: Lakatos, M., Budapest, Országos Meteorológiai Szolgálat, 138-146.

De Sherbinin, A. 2014. Climate change hotspots mapping: what have we learned? Climatic Change 123. (1): 23-37.

Dercon, S. and Krishnan, P. 1996. Income portfolios in rural Ethiopia and Tanzania: choices and constraints. Journal of Development Studies 32. (6): 850-875.

Fankhauser, S. and Tol, R.S.J. 2005. On climate change and economic growth. Resource and Energy Economics 1. 1-17.

Fowler, H.J., Blenkinsop, S. and Tebaldi, C. 2007. Linking climate change modelling to impacts studies: recent advances in downscaling techniques for hydrological modelling. International Journal of Climatology 27. (12): 1547-1578.

Füssel, H.M. 2007. Vulnerability: A generally applicable conceptual framework for climate change research. Global Environmental Change 2. 155-167.

Gaál M., Ladányi M., Szenteleki K. and Hegedus A. 2009. A kertészeti ágazatok klimatikus kockázatainak vizsgálati-módszertani áttekintése (Overview of research methods to evaluate the climatic hazards in horticulture). "Klíma-21" Füzetek. Klímaváltozás-Hatások-Válaszok 58. 72-81.

Gasper, R., Blohm, A. and Rut, M. 2011. Social and economic impacts of climate change on urban environment. Current Opinion in Environment Sustainability 3. 150-157.

Glantz, M.H. 1995. Assessing the impacts of climate: the issue of winners and losers in a global climate change context. Studies in Environmental Science 65. 41-54.

Gonda, I. 2009. Idojárási szélsoségek okozta károk mérséklésének technikai és technológiai lehetoségei a gyümölcsösökben (Possibilities of decreasing damage caused by extreme weather conditions in fruit orchards)."Klíma-21" Füzetek. Klímaváltozás-Hatások-Válaszok 58. 45-51.

Hahn, M.B., Riederer, A.M. and Foster, S.O. 2009. The Livelihood Vulnerabilioty Index: A pragmatic approach to assessing risks from climate variability and change - A case study in Mosambique. Global Environmental Change 1. 74-88.

Hanger, S., Pfenninger, S., Dreyfus, M. and Patt, A. 2013. Knowledge and information needs of adaptation policy-makers: an European study. Regional Environmental Change 13. (1): 91-101.

Holsten, A. and Kropp, J.P. 2012. An integrated and transferable climate change vulnerability assessment for regional application. Natural Hazards 64. (3): 1977-1999.

Horváth, L. 2007. Földrajzi analógia meghatározásának néhány módszere és alkalmazási lehetoségei (Methods to determine geographical analogy and possible applications). "Klíma-21" Füzetek. Klímaváltozás-Hatások-Válaszok 50. 54-61.

Hunt, A. and Watkiss, P. 2011. Climate change impacts and adaptation in cities: a review of the literature. Climatic Change 104. (1): 13-49.

IPCC 2014. Intergovernmental Panel on Climate Change. Climate Change 2014 - Impacts, Adaptation and Vulnerability: Regional Aspects. Cambridge, Cambridge University Press.

Jacob, D., Petersen, J., Eggert, B., Alias, A., Christensen, O.B., Bouwer, L.M. and Georgopoulou, E. 2014. EURO-CORDEX: new high-resolution climate change projections for European impact research. Regional Environmental Change 14. (2): 563-578.

Kreft, S., Eckstein, D., Dorsch, L. and Fischer, L. 2016. Global Climate Risk Index 2016: Who Suffers Most from Extreme Weather Events? Weather-related Loss Events in 2014 and 1995 to 2014. Germanwatch.

Ladányi, Zs., Blanka, V., József Deák, Á., Rakonczai, J. and Mezosi, G. 2016. Assessment of soil and vegetation changes due to hydrologically driven desalinization process in an alkaline wetland, Hungary. Ecological Complexity 25. 1-10.

Lankao, R.P. and Quin, H. 2011. Conceptualizing urban vulnerability to global climate and environmental change. Current Opinion in Environmental Sustainability 3. 142-149.

Lendvay, M. 2016. Resilience in post-socialist context: The case of a watermelon producing community in Hungary. Hungarian Geographical Bulletin 65. (3): 255-269.

Lobell, D.B., Schlenker, W. and Costa-Roberts, J. 2011. Climate trends and global crop production since 1980. Science 333. (6042): 616-620.

Major, P. 1994. Talajvízszint-süllyedések a Duna-Tisza közén (Groundwater depletion in the Danube-Tisza Interfluve). In A Duna-Tisza közi hátság vízgazdálkodási problémái. Ed.: Pálfai, I., Békéscsaba, Nagyalföld Alapítvány, 17-24.

Mearns, L.O., Gutowski, W., Jones, R., Leung, R., McGinnis, S., Nunes, A. and Qian, Y. 2009. A regional climate change assessment program for North America. Eos 90. (36): 311-311.

Millán, M. 2014. Extreme hydrometeorological events and climate change predictions in Europe. Journal of Hydrology 518. Part B, 206-224.

NFGM, VÁTI 2010. A területfejlesztés 4 éves szakmai programja klímaváltozás hatásainak mérséklésére, 2010-2013. (Four-years program to prevent the adverse effects of climate change 2010-2013).

Nováky, B. 2007. Az ENSZ Éghajlat-változási Kormányközi Testületének jelentése az éghajlatváltozás várható következményeirol. (Report of the UN's Intergovernmental Panel of Climate Change on the expected consequences of climate change)."Klíma-21" Füzetek. Klímaváltozás-Hatások-Válaszok 50. 6-11.

O'Brien, K L. and Leichenko, R.M. 2000. Double exposure: assessing the impacts of climate change within the context of economic globalization. Global Environmental Change 10. (3): 221-232.

Olesen, J.E., Trnka, M., Kersebaum, K.C., Skjelvag, A.O., Seguie, B., Peltonen-Sainio, P., Rossi, F., Kozyra, J. and Micale, F. 2011. Impacts and adaptation of European crop production systems to climate change. European Journal of Agronomy 34. (2): 96-112.

Pálfai, I. (ed.) 1994. A Duna-Tisza közi hátság vízgazdálkodási problémái (Water management problems of the Danube-Tisza Interfluve). Békéscsaba, Nagyalföld Alapítvány.

Pálfai, I. 2007. Éghajlatváltozás és aszály (Climate change and drought). "Klíma-21" Füzetek. Klímaváltozás-Hatások-Válaszok 49. 59-65.

Pandey, R. and Jha, S.K. 2012. Climate vulnerability index - measure of climate change vulnerability to communities: a case of rural Lower Himalaya, India. Mitigation and Adaptation Strategies for Global Change 17. 487-506.

Patz, J.A., Campbell-Lendrum, D., Holloway, T. and Foley, J. A. 2005. Impact of regional climate change on human health. Nature 438. (7066): 310-317.

Pittman, J., Wittrock, V., Kulshreshtha, S. and Wheaton, E. 2011. Vulnerability to climate change in rural Saskatchewan: Case study of the Rural Municipality of Rudy No. 284. Journal of Rural Studies 1. 83-94.

Pollard, J.S., Oldfield, J., Randalls, S. and Thornes, J.E. 2008. Firm finances, weather derivatives and geography. Geoforum 2. 616-624.

Rakonczai, J., Ladányi, Zs., Deák, J.Á. and Fehér, Zs. 2012. Indicators of climate change in the landscape: investigation of the soil-groundwater-vegetation connection system in the Great Hungarian Plain. In Review of climate change research program at the University of Szeged (2010-2012). Eds.:Rakonczai, J. and Ladányi, Zs., Szeged, Institute of Geography and Geology, University of Szeged, 41-58

Révész, A. and Szenteleki, K. 2007. A hohullámok és a homérséklet sztochasztikus viselkedésének vizsgálata (Investigation of the stochastis behaviour of heat waves and temperature) "Klíma-21" Füzetek. Klímaváltozás-Hatások-Válaszok 51. 18-33.

Scoones, I. 1998. Sustainable Rural Livelihoods: A Framework for Analysis. IDS Working Paper 72.

Brighton, Institute of Development Studies. Scott, D., Amelung, B., Becken, S., Ceron, J. P., Dubois, G., Gössling, S. and Simpson, M. 2008. Climate change and tourism: Responding to global challenges. Madrid, World Tourism Organization.

Selmeczi, P. 2014. Az éghajlati sérülékenység a területi értékelése a NÉS példáján (Regional assessment of the climate vulnerability by the example of National Climate Strategy). Climate- Adapt Fórum a tudomány képviseloi és az ágazati döntéshozók számára a klímaalkalmazkodás kérdéseiben, VM, 26-27. 06. 2014.

Sisák, I., Máté, F., Makó, A., Szász, G. and Hausner, Cs. 2009. A talajok klímaérzékenysége (Soil climate sensitivity). "Klíma-21" Füzetek. Klímaváltozás-Hatások-Válaszok 57.: 31-42.

Tol, R.S.J. 1998. Estimating socio-economic impacts of climate change. Studies in Environmental Science 72. 199-221.

Vanschoenwinkel, J., Mendelsohn, R. and Van Passel, S. 2016. Do Western and Eastern Europe have the same agricultural climate response? Taking adaptive capacity into account. Global Environmental Change 41. 74-87.

Vig, P. 2009. Az inszoláció változásainak hatása az erdok vízháztartására (Effect of changing insolation on the water balance of Hungarian forests). "Klíma-21" Füzetek. Klímaváltozás-Hatások-Válaszok 57. 83-90.

Vincent, K. 2004. Creating an index of social vulnerability to climate change for Africa. East Anglia, Tyndall Centre for Climate Change Research.

Warner, K. and van der Gees, K. 2013. Loss and damage from climate change: local-level evidence from nine vulnerable countries. International Journal of Global Warming 5. (4): 367-386.

Wheeler, D. 2011. Quantifying Vulnerability to Climate Change: Implications for Adaptation Assistance. Centre for Global Development, Working paper 240.

Wilcox, J. and Makowski, D. 2014. A meta-analysis of the predicted effects of climate change on wheat yields using simulation studies. Field Crops Research 156. 180-190.

Yu, W., Yang, Y.C., Savitsky, A., Alford, D., Brown, C., Wescoat, J., Debowicz, D. and Robinson, S. 2013. The Indus Basin of Pakistan. The Impacts of Climate Risks on Water and Agriculture. Washington D.C., The World Bank.

How to Cite
FarkasJ. Z., HoykE., & RakonczaiJ. (2017). Geographical analysis of climate vulnerability at a regional scale: the case of the Southern Great Plain in Hungary. Hungarian Geographical Bulletin, 66(2), 129-144.