Tania Maxwell
Research Scholar
Biodiversity, Ecology, and Conservation Research Group
Biodiversity and Natural Resources Program
Biography
Tania Maxwell is a research scholar in the Biodiversity, Ecology, and Conservation Research Group of the IIASA Biodiversity and Natural Resources Program. Her interests include forest, soil, and coastal ecology, biogeochemistry, global changes, spatial modeling, programming in R, data analysis, and reproducible coding. She is currently working on the Plant-FATE model as part of the RESIST project, looking into how natural and managed ecosystems across a drought gradient respond to future changes in climate.
Prior to joining IIASA, she was a postdoctoral research associate at the University of Cambridge in the UK, where she worked on global soil carbon mapping and modeling in tidal marshes.
She holds a double degree PhD in Biogeochemistry and Ecosystems from the University of Bordeaux, France and in Forest Sciences from Laval University in Quebec, Canada. She obtained her MSc in Biodiversity, Ecology and Evolution from the University Paris-Saclay, France, and her BA in Integrative Biology from the University of California, Berkeley, USA.
For more information, please see https://tania-maxwell.github.io/
Last update: 14 DEC 2023
Publications
Hofhansl, F. , Singh, S., Stefaniak, E. , Maxwell, T., & Joshi, J. (2025). imulating plant functional acclimation and trait evolution using an eco-evolutionary vegetation model (PlantFATE). DOI:10.5194/egusphere-egu25-11302. In: EGU General Assembly 2025, 27 April-02 May 2025, Vienna.
Maxwell, T.L., Spalding, M.D., Friess, D.A., Murray, N.J., Rogers, K., Rovai, A.S., Smart, L.S., Weilguny, L., Adame, M.F., Adams, J.B., Austin, W.E.N., Copertino, M.S., Cott, G.M., Duarte de Paula Costa, M., Holmquist, J.R., Ladd, C.J.T., Lovelock, C.E., Ludwig, M., Moritsch, M.M., Navarro, A., Raw, J.L., Ruiz-Fernández, A.-C., Serrano, O., Smeaton, C., Van de Broek, M., Windham-Myers, L., Landis, E., & Worthington, T.A. (2024). Soil carbon in the world’s tidal marshes. Nature Communications 15 (1) e10265. 10.1038/s41467-024-54572-9.
Hofhansl, F. , Maxwell, T., Franklin, O. , Stefaniak, E. , & Joshi, J. (2024). Simulating ecosystem adaptation in response to a changing climate by capturing belowground plant functional traits in an eco-evolutionary vegetation model (Plant-FATE). In: The future of sustainable land use across ecosystems, landscapes and biomes, 9th — 13th September 2024, Freising, Germany.
Worthington, T.A., Spalding, M., Landis, E., Maxwell, T., Navarro, A., Smart, L.S., & Murray, N.J. (2024). The distribution of global tidal marshes from Earth observation data. Global Ecology and Biogeography 33 (8) e13852. 10.1111/geb.13852.
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.