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)
Yan, P.; Fernández-Martínez, M.; Meerbeek, K. V.; Yu, G.; Migliavacca, M.; He, N.: The essential role of biodiversity in the key axes of ecosystem function. Global Change Biology 29 (16), pp. 4569 - 4585 (2023)
Pacheco-Labrador, J.; de Bello, F.; Migliavacca, M.; Ma, X.; Carvalhais, N.; Wirth, C.: A generalizable normalization for assessing plant functional diversity metrics across scales from remote sensing. Methods in Ecology and Evolution 14 (8), pp. 2123 - 2136 (2023)
Zhang, W.; Jung, M.; Migliavacca, M.; Poyatos, R.; Miralles, D. G.; El-Madany, T. S.; Galvagno, M.; Carrara, A.; Arriga, N.; Ibrom, A.et al.; Mammarella, I.; Papale, D.; Cleverly, J. R.; Liddell, M.; Wohlfahrt, G.; Markwitz, C.; Mauder, M.; Paul-Limoges, E.; Schmidt, M.; Wolf, S.; Brümmer, C.; Arain, M. A.; Fares, S.; Kato, T.; Ardö, J.; Oechel, W.; Hanson, C.; Korkiakoski, M.; Biraud, S.; Steinbrecher, R.; Billesbach, D.; Montagnani, L.; Woodgate, W.; Shao, C.; Carvalhais, N.; Reichstein, M.; Nelson, J. A.: The effect of relative humidity on eddy covariance latent heat flux measurements and its implication for partitioning into transpiration and evaporation. Agricultural and Forest Meteorology 330, 109305 (2023)
Nair, R.; Strube, M.; Hertel, M.; Kolle, O.; Rolo, V.; Migliavacca, M.: High frequency root dynamics: sampling and interpretation using replicated robotic minirhizotrons. Journal of Experimental Botany 74 (3), pp. 769 - 785 (2023)
Prikaziuk, E.; Migliavacca, M.; Su, Z.; van der Tol, C.: Simulation of ecosystem fluxes with the SCOPE model: Sensitivity to parametrization and evaluation with flux tower observations. Remote Sensing of Environment 284, 113324 (2023)
Naethe, P.; Julitta, T.; Chang, C. Y. Y.; Burkart, A.; Migliavacca, M.; Guanter, L.; Rascher, U.: A precise method unaffected by atmospheric reabsorption for ground-based retrieval of red and far-red sun-induced chlorophyll fluorescence. Agricultural and Forest Meteorology 325, 109152 (2022)
Rossini, M.; Celesti, M.; Bramati, G.; Migliavacca, M.; Cogliati, S.; Rascher, U.; Colombo, R.: Evaluation of the spatial representativeness of in situ SIF observations for the validation of medium-resolution satellite SIF products. Remote Sensing 14 (20), 5107 (2022)
Pacheco-Labrador, J.; Migliavacca, M.; Ma, X.; Mahecha, M. D.; Carvalhais, N.; Weber, U.; Benavides, R.; Bouriaud, O.; Barnoaie, I.; Coomesl, D. A.et al.; Bohn, F. J.; Kraemer, G.; Heide, U.; Huth, A.; Wirth, C.: Challenging the link between functional and spectral diversity with radiative transfer modeling and data. Remote Sensing of Environment 280, 113170 (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!