Pallandt, M.; Schrumpf, M.; Lange, H.; Reichstein, M.; Yu, L.; Ahrens, B.: Modelling the effect of climate–substrate interactions on soil organic matter decomposition with the Jena soil model. Biogeosciences 22 (7), pp. 1907 - 1928 (2025)
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.
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).
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.
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.
If rivers overflow their banks, the consequences can be devastating. Using methods of explainable machine learning, researchers at the Helmholtz Centre for Environmental Research (UFZ) have shown that floods are more extreme when several factors are involved in their development.
Plant observations collected with plant identification apps such as Flora Incognita allow statements about the developmental stages of plants - both on a small scale and across Europe.
We have gained a new external member: Prof. Dr. Christian Wirth has been appointed by the Senate of the Max Planck Society as External Scientific Member. As a former group leader and later fellow at the institute, Prof. Wirth initiated and supported the development of the TRY database, the world's largest collection on plant traits.
A new study shows a natural solution to mitigate the effects of climate change such as extreme weather events. Researchers found that a diverse plant community acts as a buffer against fluctuations in soil temperature. This buffer, in turn, can have a decisive influence on important ecosystem processes.
The plant identification app Flora Incognita receives this year's Sonja Bernadotte Award for its importance in nature education for all age groups and its high scientific standards and usefulness.