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.
More frequent strong storms are destroying ever larger areas of the Amazon rainforest. Storm damage was mapped between 1985 and 2020. The total area of affected forests roughly quadrupled in the period studied.
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.
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.
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 Deutsche Forschungsgemeinschaft (DFG) is to fund a Research Unit in the Jena Experiment for a further four years with around five million euros. The new focus is on the stabilising effect of biodiversity against extreme climate events such as heat, frost or heavy rainfall.
With a kick-off event on January 12, 2023, Friedrich Schiller University Jena, the Max Planck Institute for Biogeochemistry and the German Aerospace Center jointly opened the ELLIS Unit Jena. Machine learning and artificial intelligence are being used to help address global environmental crises.
A new study reveals that surprisingly small increases in atmospheric CO2 lead to detectable effects on ecosystem functioning. Using simulations of the land surface model developed at the Max Planck Institute for Biogeochemistry, an international team of scientists finds that enhanced CO2 first affects entities of the carbon cycle such as vegetation productivity and the extension of leaf area.