Don, A.; Bärwolff, M.; Kalbitz, K.; Andruschkewitsch, R.; Jungkunst, H. F.; Schulze, E. D.: No rapid soil carbon loss after a windthrow event in the High Tatra. Forest Ecology and Management 276, pp. 239 - 246 (2012)
Don, A.; Scholten, T.; Schulze, E.-D.: Conversion of cropland into grassland: Implications for soil organic-carbon stocks in two soils with different texture. Journal of Plant Nutrition and Soil Science 172 (1), pp. 53 - 62 (2009)
Don, A.; Schulze, E. D.: Controls on fluxes and export of dissolved organic carbon in grasslands with contrasting soil types. Biogeochemistry 91, pp. 117 - 131 (2008)
Don, A.; Arenhövel, W.; Jacob, R.; Scherer-Lorenzen, J. R.; Schulze, E.-D.: Anwuchserfolg von 19 verschiedenen Baumarten bei Erstaufforstungen - Ergebnisse eines Biodiversitätsexperiments. Allgemeine Forst- und Jagdzeitung 178 (9/10), pp. 164 - 172 (2007)
Don, A.; Schumacher, J.; Scherer-Lorenzen, M.; Scholten, T.; Schulze, E. D.: Spatial and vertical variation of soil carbon at two grassland sites - Implications for measuring soil carbon stocks. Geoderma 141 (3-4), pp. 272 - 282 (2007)
Scherer-Lorenzen, M.; Schulze, E. D.; Don, A.; Schumacher, J.; Weller, E.: Exploring the functional significance of forest diversity: A new long-term experiment with temperate tree species (BIOTREE). Perspectives in Plant Ecology, Evolution and Systematics 9 (2), pp. 53 - 70 (2007)
Don, A.; Kalbitz, K.: Amounts and degradability of dissolved organic carbon from foliar litter at different decomposition stages. Soil Biology and Biochemistry 37 (12), pp. 2171 - 2179 (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.
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).
The 73rd Lindau Nobel Laureate Meeting was dedicated to physics and was held from June 30 to July 5, 2024. It brought together around 40 Nobel Laureates and 635 young scientists from more than 90 nations.
Tropical forests are continuously being fragmented and damaged by human influences. Using remote sensing data and cutting-edge data analysis methods, researchers can now show for the first time that the impact of this damage is greater than previously estimated.
The new research project "PollenNet" aims to use artificial intelligence to accurately predict the spread of pollen. In order to improve allergy prevention, experts are bringing together the latest interdisciplinary findings from a wide range of fields.