Thurner, M.; Beer, C.; Santoro, M.; Carvalhais, N.; Wutzler, T.; Schepaschenko, D.; Shvidenko, A.; Kompter, E.; Ahrens, B.; Levick, S.et al.; Schmullius, C.: Carbon stock and density of northern boreal and temperate forests. Global Ecology and Biogeography 23 (3), pp. 297 - 310 (2014)
Ahrens, B.; Reichstein, M.; Borken, W.; Muhr, J.; Trumbore, S. E.; Wutzler, T.: Bayesian calibration of a soil organic carbon model using delta14C measurements of soil organic carbon and heterotrophic respiration as joint constraints. Biogeosciences 11 (8), pp. 2147 - 2168 (2014)
Thiessen, S.; Gleixner, G.; Wutzler, T.; Reichstein, M.: Both priming and temperature sensitivity of soil organic matter decomposition depend on microbial biomass--An incubation study. Soil Biology and Biochemistry 57, pp. 739 - 748 (2013)
Böttcher, H.; Freibauer, A.; Scholz, Y.; Gitz, V.; Ciais, P.; Mund, M.; Wutzler, T.; Schulze, E. D.: Setting priorities for land management to mitigate climate change. Carbon Balance and Management 7 (1), p. 5 (2012)
Wutzler, T.: Effect of the aggregation of multi-cohort mixed stands on modeling forest ecosystem carbon stocks. Silva Fennica 42 (4), pp. 535 - 553 (2008)
Wutzler, T.; Reichstein, M.: Colimitation of decomposition by substrate and decomposers - a comparison of model formulations. Biogeosciences 5 (3), pp. 749 - 759 (2008)
Wutzler, T.; Wirth, C.; Schumacher, J.: Generic biomass functions for Common beech (Fagus sylvatica) in Central Europe: predictions and components of uncertainty. Canadian Journal of Forest Research 38 (6), pp. 1661 - 1675 (2008)
Wutzler, T.; Sarjoughian, H. S.: Interoperability among parallel DEVS simulators and models implemented in multiple programming languages. Simulation 83 (6), pp. 473 - 490 (2007)
Wutzler, T.; Köstner, B.; Bernhofer, C.: Spatially explicit assessment of carbon stocks of a managed forest area in eastern Germany. European Journal of Forest Research 126 (3), pp. 371 - 383 (2006)
Vetter, M.; Wirth, C.; Böttcher, H.; Churkina, G.; Schulze, E.-D.; Wutzler, T.; Weber, G.: Partitioning direct and indirect human-induced effects on carbon sequestration of managed coniferous forests using model simulations and forest inventories. Global Change Biology 11 (5), pp. 810 - 827 (2005)
The BIOMASS satellite was successfully launched into orbit on 29 April 2025. The BIOMASS mission is designed to map and monitor global forests. It will map the structure of different forest types and provide data on above-ground biomass.
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”.
The Global Carbon Project shows that fossil CO2 emissions will continue to rise in 2024. There is no sign of the rapid and substantial decline in emissions that would be needed to limit the impact of climate change
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.
A study by Leipzig University, the German Centre for Integrative Biodiversity Research Halle-Jena-Leipzig (iDiv) and the MPI for Biogeochemistry shows that gaps in the canopy of a mixed floodplain forest have a direct influence on the temperature and moisture in the forest soil, but only a minor effect on soil activity.
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.
From the Greek philosopher Aristotle to Charles Darwin to the present day, scientists have dealt with this fundamental question of biology. Contrary to public perception, however, it is still largely unresolved. Scientists have now presented a new approach for the identification and delimitation of species using artificial intelligence (AI).
When it comes to studying climate change, we generally assume that the total amount of carbon emissions determines how much the planet will warm. A new study suggests that not only the amount, but also the timing of those emissions controls the amount of surface warming that occurs on human time-scale.