BIOGEOCHEMICAL INTEGRATION | PROF. REICHSTEIN
Department Biogeochemical Integration

Department Biogeochemical Integration

Prof. Dr. Markus Reichstein

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

Tao, Feng, F.; Huang, Y.; Hungate, B. A.; Manzoni, S.; Frey, S. D.; Schmidt, M. W. I.; Reichstein, M.; Carvalhais, N.; Ciais, P.; Jiang, L. et al.: Microbial carbon use efficiency promotes global soil carbon storage. Nature (2023)
1.
Son, R.; Stratoulias, D.; Kim, H. C.; Yoon, J.-H.: Estimation of surface PM2.5 concentrations from atmospheric gas species retrieved from Tropomi using deep learning: Impacts of fire on air pollution over Thailand. Atmospheric Pollution Research 14 (10), 101875 (2023)
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2.
García-García , A.; Cuesta-Valero , F. J.; Miralles , D. G.; Mahecha , M. D.; Quaas , J.; Reichstein, M.; Zscheischler, J.; Peng, J.: Soil heat extremes can outpace air temperature extremes. Nature Climate Change (2023)
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3.
Fan, N.; Santoro, M.; Besnard, S.; Cartus, O.; Koirala, S.; Carvalhais, N.: Implications of the steady-state assumption for the global vegetation carbon turnover. Environmental Research Letters (accepted)
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4.
Friede, D.; Reimers, C.; Stuckenschmidt, H.; Niepert, M.: Learning disentangled discrete representations. Machine learning and knowledge discovery in databases: Research track. ECML PKDD 2023. Lecture Notes in Computer Science 14172, pp. 593 - 609 (2023)
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5.
De Polt, K.; Ward, P. J.; de Ruiter, M.; Bogdanovich, E.; Reichstein, M.; Frank, D.; Orth, R.: Quantifying impact-relevant heatwave durations. Environmental Research Letters 18 (10), 104005 (2023)
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