How do ecosystems respond to changing weather patterns, rising temperatures and increasing carbon dioxide concentrations? Is the effect of precipitation more important than that of temperature? Or are ecosystem dynamics more strongly affected by nutrient availability? What is the role of extreme events in shaping biogeochemical cycles? To find out the answers we need to understand the interactions among three complex systems: climate, vegetation, and soil. Thus, we combine experiments and in-situ long-term observation with Earth Observations gathered by aircraft and satellites across a range of spatial scales, and embrace data-driven machine learning and theory-driven mechanistic modelling. With our research, we try to understand how the terrestrial biosphere reacts to and exerts feedbacks on ongoing environmental change and variation in atmospheric conditions.
Latest publications
Xie, J., Liu, X., Jasechko, S., Berghuijs, W. R., Wang, K., Liu, C.,Reichstein, M.,Jung, M.,Koirala, S.(2024). Majority of global river flow sustained by groundwater. Nature Geoscience. doi:10.1038/s41561-024-01483-5. || Fig. 1 | Observation-based and CMIP6-simulated baseflow indices in 15,496 small basins. a, Baseflow indices calculated from daily streamflow observations using an average of 12 baseflow separation methods. b, Multimodel mean baseflow indices derived from 50 CMIP6 ESMs. c, Density scatter plot of observation-based and simulated baseflow indices. d, Latitudinal profiles of the CMIP6-simulated baseflow indices. The black line and grey shading represent mean ± standard deviation. MAPE, mean absolute percentage error.
Xie, J., Liu, X., Jasechko, S., Berghuijs, W. R., Wang, K., Liu, C.,Reichstein, M.,Jung, M.,Koirala, S.(2024). Majority of global river flow sustained by groundwater. Nature Geoscience. doi:10.1038/s41561-024-01483-5. ||
Fig. 1 | Observation-based and CMIP6-simulated baseflow indices in 15,496 small basins. a, Baseflow indices calculated from daily streamflow observations using an average of 12 baseflow separation methods. b, Multimodel mean baseflow indices derived from 50 CMIP6 ESMs. c, Density scatter plot of observation-based and simulated baseflow indices. d, Latitudinal profiles of the CMIP6-simulated baseflow indices. The black line and grey shading represent mean ± standard deviation. MAPE, mean absolute percentage error.
1.
Köbel, M.; Chozas, S.; Moreno, G.; Migliavacca, M.; Branquinho, C.; Nunes, A.: Grasses don’t always win: Short-term effects of fertilization on taxonomic and functional diversity of a Mediterranean annual grassland. Agriculture, Ecosystems & Environment 373, 109125 (2024)
Li, X.; Black, T. A.; Zha, T.; Jassal, R. S.; Nesic, Z.; Lee, S.-C.; Bourque, C. P.-A.; Hao, S.; Jin, C.; Liu, P.et al.; Jia, X.; Tian, Y.: Long‐term trend and interannual variation in evapotranspiration of a young temperate Douglas‐fir stand over 2002–2022 reveals the impacts of climate change. Plant, Cell and Environment 47 (10), pp. 3966 - 3978 (2024)
Barcytė, D.; Hodač, L.; Eliáš, M.: Freshwater ‘microcroissants’ shed light on a novel higher-level clade within the Trebouxiophyceae and reveal the genus Chlorolobion to be a trebouxiophyte. European Journal of Phycology (2024)
Ruijsch, J.; Teuling, A. J.; Duveiller, G.; Hutjes, R. W. A.: The local cooling potential of land restoration in Africa. Communications Earth & Environment 5, 495 (2024)
