de Broek, M. V.; Govers, G.; Schrumpf, M.; Six, J.: A microbially driven and depth-explicit soil organic carbon model constrained by carbon isotopes to reduce parameter equifinality. Biogeosciences 22 (5), pp. 1427 - 1446 (2025)
Nair, R.; Luo, Y.; El-Madany, T. S.; Rolo, V.; Pacheco-Labrador, J.; Caldararu, S.; Morris, K. A.; Schrumpf, M.; Carrara, A.; Moreno, G.et al.; Reichstein, M.; Migliavacca, M.: Nitrogen availability and summer drought, but not N:P imbalance, drive carbon use efficiency of a Mediterranean tree-grass ecosystem. Global Change Biology 30 (9), e17486 (2024)
Wutzler, T.; Reimers, C.; Ahrens, B.; Schrumpf, M.: Optimal enzyme allocation leads to the constrained enzyme hypothesis: the Soil Enzyme Steady Allocation Model (SESAM; v3.1)). Geoscientific Model Development 17 (7), pp. 2705 - 2725 (2024)
Wilcke, W.; Zimmer, V.; Bauhus, J.; Schöning, I.; Schrumpf, M.; Michalzik, B.; Siemen, J.: Disentangling the effects of region, forest‑management intensity and plant diversity on litterfall quantity, quality and turnover in temperate forests. Plant and Soil 497, pp. 397 - 412 (2024)
Brandt, L.; Poll, C.; Ballauff, J.; Schrumpf, M.; Bramble, D. S.; Schöning, I.; Ulrich, S.; Kaiser, K.; Mikutta, R.; Mikutta, C.et al.; Polle, A.; Kandeler, E.: Mineral type versus environmental filters: What shapes the composition and functions of fungal communities in the mineralosphere of forest soils? Soil Biology and Biochemistry 190, 109288 (2024)
Neyret, M.; Le Provost, G.; Boesing, A. L.; Schneider, F. D.; Baulechner, D.; Bergmann, J.; de Vries, F.; Fiore-Donno, A. M.; Geisen, S.; Goldmann, K.et al.; Merges, A.; Saifutdinov, R. A.; Simons, N. K.; Tobias, J. A.; Zaitsev, A. S.; Gossner, M. M.; Jung, K.; Kandeler, E.; Krauss, J.; Penone, C.; Schloter, M.; Schulz, S.; Staab, M.; Wolters, V.; Apostolakis, A.; Birkhofer, K.; Boch, S.; Boeddinghaus, R. S.; Bolliger, R.; Bonkowski, M.; Buscot, F.; Dumack, K.; Fischer, M.; Gan, H. Y.; Heinze, J.; Hölzel, N.; John, K.; Klaus, V. H.; Kleinebecker, T.; Marhan, S.; Müller, J.; Renner, S. C.; Rillig, M.; Schenk, N. V.; Schöning, I.; Schrumpf, M.; Seibold, S.; Socher, S.; Solly, E. F.; Teuscher, M.; van Kleunen, M.; Wubet, T.; Manning, P.: A slow-fast trait continuum at the whole community level in relation to land-use intensification. Nature Communications 15, 1251 (2024)
Bramble, D. S.; Ulrich, S.; Schöning, I.; Mikutta, R.; Brandt, L.; Poll, C.; Kandeler, E.; Mikutta, C.; Konrad, A.; Siemens, J.et al.; Yang, Y.; Polle, A.; Schall, P.; Ammer, C.; Kaiser, K.; Schrumpf, M.: Formation of mineral-associated organic matter in temperate soils is primarily controlled by mineral type and modified by land use and management intensity. Global Change Biology 30 (1), e17024 (2024)
Stoner, S.; Trumbore, S. E.; González-Pérez, J. A.; Schrumpf, M.; Sierra, C. A.; Hoyt, A. M.; Chadwick, O.; Doetterl, S.: Relating mineral–organic matter stabilization mechanisms to carbon quality and age distributions using ramped thermal analysis. Philosophical Transactions of the Royal Society of London - Series A: Mathematical Physical and Engineering Sciences 381 (2261), 20230139 (2023)
Stoner, S.; Schrumpf, M.; Hoyt, A. M.; Sierra, C. A.; Doetterl, S.; Galy, V.; Trumbore, S. E.: How well does ramped thermal oxidation quantify the age distribution of soil carbon? Assessing thermal stability of physically and chemically fractionated soil organic matter. Biogeosciences 20 (15), pp. 3151 - 3163 (2023)
Brandt, L.; Stache, F.; Poll, C.; Bramble, D. S.; Schöning, I.; Schrumpf, M.; Ulrich, S.; Kaiser, K.; Mikutta, R.; Mikutta, C.: Mineral type and land-use intensity control composition and functions of microorganisms colonizing pristine minerals in grassland soils. Soil Biology and Biochemistry 182, 109037 (2023)
Wutzler, T.; Yu, L.; Schrumpf, M.; Zaehle, S.: Simulating long-term responses of soil organic matter turnover to substrate stoichiometry by abstracting fast and small-scale microbial processes: the Soil Enzyme Steady Allocation Model (SESAM; v3.0). Geoscientific Model Development 15 (22), pp. 8377 - 8393 (2022)
Baumann, K.; Eckhardt, K.-U.; Schöning, I.; Schrumpf, M.; Leinweber, P.: Clay fraction properties and grassland management imprint on soil organic matter composition and stability at molecular level. Soil Use and Management 38 (4), pp. 1578 - 1596 (2022)
Akinyede, R.; Taubert, M.; Schrumpf, M.; Trumbore, S. E.; Küsel, K.: Temperature sensitivity of dark CO2 fixation in temperate forest soils. Biogeosciences 19 (17), pp. 4011 - 4028 (2022)
Morris, K. A.; Richter, A.; Migliavacca, M.; Schrumpf, M.: Growth of soil microbes is not limited by the availability of nitrogen and phosphorus in a Mediterranean oak-savanna. Soil Biology and Biochemistry 169, 108680 (2022)
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.
In the annual ranking of the world's most cited and thus most influential scientists, five authors from our institute are once again represented in 2024.
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.
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.
A research team led by the German Centre for Integrative Biodiversity Research (iDiv) and Leipzig University has developed an algorithm that analyses observational data from the Flora Incognita app. The novel can be used to derive ecological patterns that could provide valuable information about the effects of climate change on plants.
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.
On June 24, Prof. Dr. Henrik Hartmann, head of the Julius Kühn Institute for Forest Protection and former group leader at the Max Planck Institute for Biogeochemistry, received an important award for his scientific achievements in the field of forestry. Our warmest congratulations!