Max Planck Gesellschaft

Overview

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 key papers


Reichstein M., Camps-Valls G., Stevens B., Jung M., Denzler J., Cavalhais N., Prabhat (2019) Deep learning and process understanding for data-driven Earth system science. Nature 566, 195–204, doi:10.1038/s41586-019-0912-1.



Besnard, S., Carvalhais, N., Arain, M. A., Black, A., Brede, B., Buchmann, N., Chen, J., Clevers, J. G. P. W., Dutrieux, L. P., Gans, F., Herold, M., Jung, M., Kosugi, Y., Knohl, A., Law, B. E., Paul-Limoges, E., Lohila, A., Merbold, L., Roupsard, O., Valentini, R., Wolf, S., Zhang, X., Reichstein, M. (2019). Memory effects of climate and vegetation affecting net ecosystem CO2 fluxes in global forests. PLoS One, 14(2):e0211510 doi:10.1371/journal.pone.0211510.

Flach, M., Sippel, S., Gans, F., Bastos, A., Brenning, A., Reichstein, M., and Mahecha, M. D. (2018) Contrasting biosphere responses to hydrometeorological extremes: revisiting the 2010 western Russian heatwave, Biogeosciences, 15, 6067-6085, DOI: 10.5194/bg-15-6067-2018

Jiang, M., Caldararu, S., Zaehle, S., Ellsworth, D. S., Medlyn, B. E. (2019). Towards a more physiological representation of vegetation phosphorus processes in land surface models. New Phytologist. doi:10.1111/nph.15688.

Koirala, S., Kim, H., Hirabayashi, Y., Kanae, S., Oki, T. (2018). Sensitivity of global hydrological simulations to groundwater capillary flux parameterizations. Water Resources Research. doi:10.1029/2018WR023434.

Seeland, M., Rzanny, M., Boho, D., Wäldchen, J., Mäder, P. (2019). Image-based classification of plant genus and family for trained and untrained plant species. BMC Bioinformatics, 20: 4. doi:10.1186/s12859-018-2474-x.



News and activities

February 5th 2019
New visiting BGI members Khelvi Biriukova and Ali Fallah are starting today!
Welcome!


January 17th and 18th 2019
Diego Miralles and Ryan Teuling are visiting BGI!
Welcome!


December 18th2018
Johannes Meyerholt successfully defended his PhD!
Congratulations!


December 11th2018
AGU session IN24A: Climate Informatics: Methods and Applications co-organized by Markus Reichstein


November 19th 2018
New BGI member Junzhi Liu starting today

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