Rastislav Skalsky profile picture

Rastislav Skalsky

Research Scholar

Agriculture, Forestry, and Ecosystem Services Research Group

Biodiversity and Natural Resources Program

Biography

Rastislav Skalsky joined IIASA in June 2012. As a research scholar with the Agriculture, Forestry, and Ecosystem Services (AFE) research group in the Biodiversity and Natural Resources (BNR) program, he focuses on process-based agro-ecosystem model up-scaling with spatial data on soil, topography and land use for large-scale simulations at regional, continental and global scales, i.e., the IIASA EPIC model, www.iiasa.ac.at/epic. His research also includes crop model validation and calibration for a variety of practical research topics on crop production and environmental impacts of agricultural systems. He has been working on the integration of soil and agro-ecosystem information with citizen observatories in the domain of land use and land management. Most recently, his focus has been on analyzing soil organic carbon and soil erosion as measures of sustainable crop production and implementation of soil conservation aspects into large-scale crop modeling.

Dr. Skalsky received his master’s degree in 1999, in environmental sciences, and his doctorate in 2008, in soil science, both from the Comenius University in Bratislava (Slovakia). In 1999, he started his career at the National Agricultural and Food Centre, Soil Science and Conservation Research Institute (NPPC-VUPOP, Slovakia) where he still holds a position as a senior researcher focusing on national-scale soil organic carbon modeling and communication of evidence-based knowledge for decision and policy making support in the agricultural sector in Slovakia.

Last update: 04 FEB 2021

Publications

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See, L. , Yashchun, O., Romanchuk, Z., Balkovič, J. , Skalský, R. , Malek, Z. , Shchepashchenko, D. , Deppermann, A., Krisztin, T. , & Havlik, P. (2024). Improving high-resolution spatial information on agricultural land use management in Europe for economic land use modelling and the assessment of policy impacts. DOI:10.5194/egusphere-egu24-5448. In: EGU General Assembly 2024, 14-19 April 2024, Vienna.

Wang, X., Wang, S., Folberth, C. , Skalský, R. , Li, H., Liu, Y., & Balkovič, J. (2024). Limiting global warming to 2 °C benefits building climate resilience in rice-wheat systems in India through crop calendar management. Agricultural Systems 213 e103806. 10.1016/j.agsy.2023.103806.

Skalský, R. , Barančíková, G., Makovníková, J., Koco, Š., Halas, J., & Kobza, J. (2024). Regional topsoil organic carbon content in the agricultural soils of Slovakia and its drivers, as revealed by the most recent national soil monitoring data. Environmental Challenges 14 e100816. 10.1016/j.envc.2023.100816.

Ippolito, T., Balkovič, J. , Skalský, R. , Folberth, C. , Krisztin, T. , & Neff, J. (2023). Predicting spatiotemporal soil organic carbon responses to management using EPIC-IIASA meta-models. Journal of Environmental Management 344 e118532. 10.1016/j.jenvman.2023.118532.

Ermolieva, T., Havlik, P. , Derci Augustynczik, A.L., Boere, E., Frank, S. , Kahil, T. , Wang, G., Balkovič, J. , Skalský, R. , Folberth, C. , Komendantova, N. , & Knopov, P. S. (2023). A Novel Robust Meta-Model Framework for Predicting Crop Yield Probability Distributions Using Multisource Data. Cybernetics and Systems Analysis 10.1007/s10559-023-00620-z.