Florian Hofhansl
Research Scholar
Novel Data Ecosystems for Sustainability Research Group
Advancing Systems Analysis Program
Research Scholar
Biodiversity, Ecology, and Conservation Research Group
Biodiversity and Natural Resources Program
Biography
Florian Hofhansl is a research scholar in the Biodiversity, Ecology, and Conservation (BEC) Research Group of the IIASA Biodiversity and Natural Resources (BNR) Program. His research explores the relationship between biodiversity and ecosystem functioning with a focus on plant functional traits, life-history theory, and spatial ecology.He is an active member of the scientific steering committee of the AmazonFACE program, led by the National Institute of Amazonian Research, Manaus, Brazil, as well as the society for the promotion of the La Gamba Field Station, located in Costa Rica and hosted by the Department of Botany and Biodiversity Research at the University of Vienna, Austria.
Hofhansl holds a doctorate in ecology from the Faculty of Life Sciences at the University of Vienna. More information about his research is available here.
Last update: 28 FEB 2023
Publications
Schaap, K.J., Fuchslueger, L., Hofhansl, F. , Valverde‐Barrantes, O., Quesada, C.A., & Hoosbeek, M.R. (2024). Intra‐annual dynamics of soil and microbial C, N, and P pools in a Central Amazon Terra Firme forest. Journal of Plant Nutrition and Soil Science 10.1002/jpln.202300107. (In Press)
Stefaniak, E., de Bruijn, J. , Smilovic, M. , Artuso, S., Martin, J. , Maxwell, T., Joshi, J., & Hofhansl, F. (2024). Modelling Water and Biodiversity: Coupling a dynamic eco-evolution trait-based vegetation model with a community water model. DOI:10.5194/egusphere-egu24-16184. In: EGU General Assembly 2024, 14-19 April 2024, Vienna.
Maxwell, T., Stefaniak, E., Hofhansl, F. , & Joshi, J. (2024). Incorporating roots into Plant-FATE, a dynamic eco-evolution trait-based vegetation model. DOI:10.5194/egusphere-egu24-5706. In: EGU General Assembly 2024, 14-19 April 2024, Vienna.
Hofhansl, F. , Hietz, P., Huber, W., Weissenhofer, A., & Wanek, W. (2024). Landscape-scale And Spatially Explicit Representation of vegetation dynamics and ecosystem carbon stocks in a hyperdiverse tropical forest ecosystem (LASER). DOI:10.5194/egusphere-egu24-5862. In: EGU General Assembly 2024, 14-19 April 2024, Vienna.
Blanco, C.C., Rius, B.F., Darela-Filho, J.P., Cardeli, B., Aleixo, I., Scheiter, S., Langan, L., Joshi, J., Hofhansl, F. , Singh, S., De Paula, M.D., Hickler, T., Ongole, S., Higgins, S., Fleischer, K., Rammig, A., Lichstein, J., & Lapola, D.M. (2024). Non-matching predictions from different models simulating the effects of elevated atmospheric CO2 on the Amazon forest’s functional diversity. DOI:10.5194/egusphere-egu24-22186. In: EGU General Assembly 2024, 14-19 April 2024, Vienna.