Mueller, B.; Seneviratne, S. I.; Jimenez, C.; Corti, T.; Hirschi, M.; Balsamo, G.; Ciais, P.; Dirmeyer, P.; Fisher, J. B.; Guo, Z.et al.; Jung, M.; Maignan, F.; Mccabe, M. F.; Reichle, R.; Reichstein, M.; Rodell, M.; Sheffield, J.; Teuling, A. J.; Wang, K.; Wood, E. F.; Zhang, Y.: Evaluation of global observations-based evapotranspiration datasets and IPCC AR4 simulations. Geophysical Research Letters 38 (6), p. L06402 (2011)
Van Der Molen, M. K.; Dolman, A. J.; Ciais, P.; Eglin, T.; Gobron, N.; Law, B. E.; Meir, P.; Peters, W.; Phillips, O. L.; Reichstein, M.et al.; Chen, T.; Dekker, S. C.; Doubkova, M.; Friedl, M. A.; Jung, M.; Van Den Hurk, B.; De Jeu, R. A. M.; Kruijt, B.; Ohta, T.; Rebel, K. T.; Plummer, S.; Seneviratne, S. I.; Sitch, S.; Teuling, A. J.; Van Der Werf, G. R.; Wang, G.: Drought and ecosystem carbon cycling. Agricultural and Forest Meteorology 151 (7), pp. 765 - 773 (2011)
Vargas, R.; Carbone, M. S.; Reichstein, M.; Baldocchi, D. D.: Frontiers and challenges in soil respiration research: from measurements to model-data integration. Biogeochemistry 102 (1-3), pp. 1 - 13 (2011)
Weihermüller, L.; Lamers, M.; Reichstein, M.: Introduction to production, transport, and emission of trace gases from the vadose zone to the atmosphere. Vadose Zone Journal 10 (1), pp. 151 - 155 (2011)
Bahn, M.; Janssens, I. A.; Reichstein, M.; Smith, P.; Trumbore, S. E.: Soil respiration across scales: towards an integration of patterns and processes. New Phytologist 186 (2), pp. 292 - 296 (2010)
Bahn, M.; Reichstein, M.; Davidson, E. A.; Grünzweig, J.; Jung, M.; Carbone, M. S.; Epron, D.; Misson, L.; Nouvellon, Y.; Roupsard, O.et al.; Savage, K.; Trumbore, S. E.; Gimeno, C.; Yuste, J. C.; Tang, J.; Vargas, R.; Janssens, I. A.: Soil respiration at mean annual temperature predicts annual total across vegetation types and biomes. Biogeosciences 7 (7), pp. 2147 - 2157 (2010)
Carvalhais, N.; Reichstein, M.; Ciais, P.; Collatz, G. J.; Mahecha, M. D.; Montagnani, L.; Papale, D.; Rambal, S.; Seixas, J.: Identification of vegetation and soil carbon pools out of equilibrium in a process model via eddy covariance and biometric constraints. Global Change Biology 16 (10), pp. 2813 - 2829 (2010)
Carvalhais, N.; Reichstein, M.; Collatz, G. J.; Mahecha, M. D.; Migliavacca, M.; Neigh, C. S. R.; Tomelleri, E.; Benali, A. A.; Papale, D.; Seixas, J.: Deciphering the components of regional net ecosystem fluxes following a bottom-up approach for the Iberian Peninsula. Biogeosciences 7 (11), pp. 3707 - 3729 (2010)
Eglin, T.; Ciais, P.; Piao, S. L.; Barre, P.; Bellassen, V.; Cadule, P.; Chenu, C.; Gasser, T.; Koven, C.; Reichstein, M.et al.; Smith, P.: Historical and future perspectives of global soil carbon response to climate and land-use changes. Tellus, Series B - Chemical and Physical Meteorology 62 (5), pp. 700 - 718 (2010)
Lasslop, G.; Reichstein, M.; Detto, M.; Richardson, A. D.; Baldocchi, D. D.: Comment on Vickers et al.: Self-correlation between assimilation and respiration resulting from flux partitioning of eddy-covariance CO2 fluxes. Agricultural and Forest Meteorology 150 (2), pp. 312 - 314 (2010)
Lasslop, G.; Reichstein, M.; Papale, D.; Richardson, A. D.; Arneth, A.; Barr, A.; Stoy, P.; Wohlfahrt, G.: Separation of net ecosystem exchange into assimilation and respiration using a light response curve approach: critical issues and global evaluation. Global Change Biology 16 (1), pp. 187 - 208 (2010)
Le Maire, G.; Delpierre, N.; Jung, M.; Ciais, P.; Reichstein, M.; Viovy, N.; Granier, A.; Ibrom, A.; Kolari, P.; Longdoz, B.et al.; Moors, E. J.; Pilegaard, K.; Rambal, S.; Richardson, A. D.; Vesala, T.: Detecting the critical periods that underpin interannual fluctuations in the carbon balance of European forests. Journal of Geophysical Research: Biogeosciences 115, G00h03 (2010)
Luyssaert, S.; Ciais, P.; Piao, S. L.; Schulze, E.-D.; Jung, M.; Zaehle, S.; Schelhaas, M. J.; Reichstein, M.; Churkina, G.; Papale, D.et al.; Abril, G.; Beer, C.; Grace, J.; Loustau, D.; Matteucci, G.; Magnani, F.; Nabuurs, G. J.; Verbeeck, H.; Sulkava, M.; Van Der Werf, G. R.; Janssens, I.; Team, C. S.: The European carbon balance. Part 3: forests. Global Change Biology 16 (5), pp. 1429 - 1450 (2010)
Mahecha, M. D.; Reichstein, M.; Carvalhais, N.; Lasslop, G.; Lange, H.; Seneviratne, S. I.; Vargas, R.; Ammann, C.; Arain, M. A.; Cescatti, A.et al.; Janssens, I. A.; Migliavacca, M.; Montagnani, L.; Richardson, A. D.: Global Convergence in the Temperature Sensitivity of Respiration at Ecosystem Level. Science 329 (5993), pp. 838 - 840 (2010)
The Germany-wide citizen science project GartenDiv will research plant diversity in Germany's gardens for the first time. A one-year pilot project will provide an overview of which plants thrive in gardens across the country.
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.