Göckede, M.; Kwon, M. J.; Kittler, F.; Heimann, M.; Zimov, N.; Zimov, S.: Negative feedback processes following drainage slow down permafrost degradation. Global Change Biology 25 (10), pp. 3254 - 3266 (2019)
Kwon, M. J.; Natali, S. M.; Pries, C. E. H.; Schuur, E. A. G.; Steinhof, A.; Crummer, K. G.; Zimov, N.; Zimov, S. A.; Heimann, M.; Kolle, O.et al.; Göckede, M.: Drainage enhances modern soil carbon contribution but reduces old soil carbon contribution to ecosystem respiration in tundra ecosystems. Global Change Biology 25 (4), pp. 1315 - 1325 (2019)
Kwon, M. J.; Jung, J. Y.; Tripathi, B. M.; Göckede, M.; Lee, Y. K.; Kim, M.: Dynamics of microbial communities and CO2 and CH4 fluxes in the tundra ecosystems of the changing Arctic. Journal of Microbiology 57 (5), pp. 325 - 336 (2019)
Göckede, M.; Kittler, F.; Kwon, M. J.; Burjack, I.; Heimann, M.; Kolle, O.; Zimov, N.; Zimov, S.: Shifted energy fluxes, increased Bowen ratios, and reduced thaw depths linked with drainage-induced changes in permafrost ecosystem structure. The Cryosphere 11 (6), pp. 2975 - 2996 (2017)
Kwon, M. J.; Beulig, F.; Ilie, I.; Wildner, M.; Küsel, K.; Merbold, L.; Mahecha, M. D.; Zimov, N.; Zimov, S. A.; Heimann, M.et al.; Schuur, E. A. G.; Kostka, J. E.; Kolle, O.; Hilke, I.; Göckede, M.: Plants, microorganisms, and soil temperatures contribute to a decrease in methane fluxes on a drained Arctic floodplain. Global Change Biology 23 (6), 13558, pp. 2396 - 2412 (2017)
Kwon, M. J.; Heimann, M.; Kolle, O.; Luus, K.; Schuur, E. A. G.; Zimov, N.; Zimov, S. A.; Göckede, M.: Long-term drainage reduces CO2 uptake and increases CO2 emission on a Siberian floodplain due to shifts in vegetation community and soil thermal characteristics. Biogeosciences 13 (14), pp. 4219 - 4235 (2016)
Kwon, M. J.: The effects of long-term drainage on processes governing CO2 and CH4 fluxes on an Arctic floodplain in Siberia. Dissertation, XII,92 pp., Friedrich Schiller University Jena, Jena (2016)
Thanks to FLUXCOM-X, the next generation of data driven, AI-based earth system models, scientists can now see the Earth’s metabolism at unprecedented detail – assessed everywhere on land and every hour of the day.
David Hafezi Rachti was awarded twice: for his EGU poster with this year’s “Outstanding Student and PhD candidate Presentation” (OSPP) and for his Bachelor thesis, he received the 1st prize of the “Young Climate Scientist Award 2024”.
A recent study by scientists from the Max Planck Institute for Biogeochemistry and the University of Leipzig suggests that increasing droughts in the tropics and changing carbon cycle responses due to climate change are not primarily responsible for the strong tropical response to rising temperatures. Instead, a few particularly strong El Niño events could be the cause.
EU funds the international research project AI4PEX to further improve Earth system models and thus scientific predictions of climate change. Participating scientists from 9 countries met at the end of May 2024 to launch the project at the MPI for Biogeochemistry in Jena, which is leading the project.
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