Christian Folberth
Senior Research Scholar
Agriculture, Forestry, and Ecosystem Services Research Group
Biodiversity and Natural Resources Program
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Biography
Christian Folberth joined IIASA's Ecosystem Services and Management Program as a Research Scholar in November 2013. He received his BSc in Horticultural Sciences and MSc in Environmental Planning and Engineering Ecology from Technical University of Munich. For the latter, he investigated factors influencing the degradation of pesticides in soil samples under laboratory conditions and a method for estimating the bioavailability of pesticides in soils.Subsequently, he conducted a PhD research project at the Swiss Federal institute of Aquatic Science and Technology (EAWAG) and ETH Zurich. The thesis dealt with large-scale modeling of climate change impacts on global crop yields, regionalization of the crop model for sub-Saharan Africa (SSA), and the assessment of different management practices for elevating yields and adapting to climate change in SSA. Additional research projects included climate change impacts on biofuel production in the USA, unbalanced fertilizer application in SSA, and the participation in the Intersectoral Impact Model Intercomparison Project (ISI-MIP).
Dr. Folberth's research interests include bio-physical agricultural modeling, climate change impacts on agricultural production, and environmental quality related to agricultural production.
Last update: 19 NOV 2013
Publications
Goulart, H.M.D., van der Wiel, K., Folberth, C. , Boere, E., & van den Hurk, B. (2023). Increase of Simultaneous Soybean Failures Due To Climate Change. Earth's Future 11 (4) e2022EF003106. 10.1029/2022EF003106.
Ermolieva, T., Zagorodny, A., Bogdanov, V.L., Wang, G., Havlik, P. , Rovenskaya, E. , Komendantova, N. , Kahil, T. , Ortiz-Partida, J.- P., Balkovič, J. , Skalský, R. , & Folberth, C. (2023). Consistent linkage of distributed food, water, energy, environmental (FWEE) models: perspectives of data and modeling platform for integrated FWEE security NEXUS analysis and planning. In: EGU General Assembly 2023, 23-28 April 2023, Vienna.
Ermolieva, T., Ermoliev, Y., Havlik, P. , Derci Augustynczik, A.L., Komendantova, N. , Kahil, T. , Balkovič, J. , Skalský, R. , Folberth, C. , Knopov, P.S., & Wang, G. (2023). Connections between robust statistical estimation, robust decision making with two-stage stochastic optimization, and robust machine learning problems. Cybernetics and systems analysis 59 (3) 33-47.
Ermolieva, T., Zagorodny, A., Bogdanov, V., Knopov, P., Gorbachuk, V., Zaslavski, V., Havlik, P. , Derci Augustynczik, A.L., Skalský, R. , Balkovič, J. , Folberth, C. , Kahil, T. , & Wang, G. (2022). Big Data, Artificial Intelligence and Machine Learning problems for Robust Food-Water-Energy NEXUS Analysis and Risk-Adjusted Agricultural Insurance Schemes. In: 11th International Conference “V.M. Glushkov’s Lectures”, 8th December 2022, Kiev, Ukraine.
De Vos, K., Janssens, C., Jacobs, L., Campforts, B., Boere, E., Kozicka, M. , Havlik, P. , Folberth, C. , Balkovič, J. , Maertens, M., & Govers, G. (2022). On the Rice: Climate Change and the (in)stability of rice in Africa. In: Systems Analysis for Reducing Footprints and Enhancing Resilience, 16-17 November, 2022, Vienna, Austria.