Ulf Dieckmann
Principal Research Scholar
Exploratory Modeling of Human-natural Systems Research Group
Advancing Systems Analysis Program
Principal Research Scholar
Cooperation and Transformative Governance Research Group
Advancing Systems Analysis Program
Principal Research Scholar
Systemic Risk and Resilience Research Group
Advancing Systems Analysis Program
Biography
Ulf Dieckmann is a Principal Research Scholar in IIASA's Advancing Systems Analysis Program. He is working on the theory of adaptive dynamics, fisheries-induced evolution, cooperation evolution, speciation theory, spatial ecology, life-history theory, and on problems in theoretical evolutionary ecology.He received his bachelor's degree in physics and his master's degree in theoretical physics from the University of Aachen, Germany. He completed his PhD research on theoretical biology at Leiden University in the Netherlands, and obtained his Habilitation (venia legendi) in biomathematics from the University of Vienna.
He has worked at Stanford University and the Xerox Palo Alto Research Center, California, USA, the Research Center Julich, Germany, the University of York, UK, Leiden University, the Netherlands, and the University of Vienna, Austria. He has been a visiting professor at the University of Montpellier, France, and a research fellow at the Institute for Advanced Study, Wissenschaftskolleg zu Berlin, Germany. He is a visiting professor at The Graduate University for Advanced Studies (Sokendai), Hayama, Japan.
CV and online reprints
Google Scholar page
Last update: 01 JUL 2025
Publications
Roy, S., Brännström, Å., & Dieckmann, U. (2024). Ecological determinants of Cope’s rule and its inverse. Communications Biology 7 (1) e38. 10.1038/s42003-023-05375-z.
Stefaniak, E. , Joshi, J., Zhang, L., Dieckmann, U. , & Brännström, Å. (2024). LIBPSPM: A feature-rich numerical package for solving physiologically structured population models. In: 13th European Conference on Mathematical and Theoretical Biology (ECMTB24), 22-26 July, 2024, Toledo, Spain.
Joshi, J., Hofhansl, F. , Singh, S., Stocker, B., Vignal, T., Brännström, Å., Franklin, O. , Blanco, C., Aleixo, I., Lapola, D., Prentice, I., & Dieckmann, U. (2023). Predicting the adaptive responses of biodiverse plant communities using functional trait evolution. In: Ecological Society of American 2023 Annual Meeting, 6-11 August 2023, Portland.
Joshi, J., Zhang, L., Stefaniak, E. , Dieckmann, U. , & Brännström, Å. (2023). libpspm: A feature-rich numerical package for solving physiologically structured population models. bioRxiv 10.1101/2023.08.04.551683. (Submitted)
Joshi, J., Hofhansl, F. , Singh, S., Stocker, B., Brännström, Å., Franklin, O. , Blanco, C.C., Aleixo, I., Lapola, D.M., Prentice, I.C., & Dieckmann, U. (2023). Competition for light can drive adverse species-composition shifts in the Amazon Forest under elevated CO2. BioRxiv 10.1101/2023.07.03.547575. (Submitted)