Pitelka, L. F.; Gardner, R. H.; Ash, J.; Berry, S.; Gitay, H.; Noble, I. R.; Saunders, A.; Bradshaw, R. H. W.; Brubaker, L.; Clark, J. S.et al.; Davis, M. B.; Sugita, S.; Dyer, J. M.; Hengeveld, R.; Hope, G.; Huntley, B.; King, G. A.; Lavorel, S.; Mack, R. N.; Malanson, G. P.; Mcglone, M.; Prentice, I. C.; Rejmanek, M.: Plant migration and climate change. American Scientist 85 (5), pp. 464 - 473 (1997)
Schimel, D. S.; Emanuel, W.; Rizzo, B.; Smith, T.; Woodward, F. I.; Fisher, H.; Kittel, T. G. F.; Mckeown, R.; Painter, T.; Rosenbloom, N.et al.; Ojima, D. S.; Parton, W. J.; Kicklighter, D. W.; Mcguire, A. D.; Melillo, J. M.; Pan, Y.; Haxeltine, A.; Prentice, I. C.; Sitch, S.; Hibbard, K.; Nemani, R.; Pierce, L.; Running, S.; Borchers, J.; Chaney, J.; Neilson, R.; Braswell, B. H.: Continental scale variability in ecosystem processes: Models, data, and the role of disturbance. Ecological Monographs 67 (2), pp. 251 - 271 (1997)
Texier, D.; De Noblet, N.; Harrison, S. P.; Haxeltine, A.; Jolly, D.; Joussaume, S.; Laarif, F.; Prentice, I. C.; Tarasov, P.: Quantifying the role of biosphere-atmosphere feedbacks in climate change: coupled model simulations for 6000 years BP and comparison with palaeodata for northern Eurasia and northern Africa. Climate Dynamics 13 (12), pp. 865 - 882 (1997)
Haxeltine, A.; Prentice, I. C.; Creswell, I. D.: A coupled carbon and water flux model to predict vegetation structure. Journal of Vegetation Science 7 (5), pp. 651 - 666 (1996)
Joos, F.; Prentice, I. C.: A Paleo-perspective on changes in atmospheric CO2 and climate. In: The global carbon cycle, Vol. 62, pp. 165 - 186 (Eds. Field, C. B.; Raupach, M. R.). Island Press, Washington (2004)
Spessa, A.; Mcbeth, B.; Thonicke, K.; Prentice, I. C.: Modelling the relationship between fire frequency, rainfall and vegetation in the Kimberleys region Australia, using a fire model coupled to a DGVM. In: Proceedings of the 3rd International Wildland Fire Conference, 4-6 Oct. 2003, Sydney (Eds. Goldammer, J.; Viegas, D.) (2003)
Guiot, J.; Prentice, I. C.; Peng, C.; Jolly, D.; Laarif, F.; Smith, B.: Reconstruction and modelling past changes in terrestrial primary production. In: Terrestrial global productivity, pp. 479 - 498 (Eds. Roy, J.; Saugier, B.; Mooney, H. A.). Academic Press, San Diego (2001)
Prentice, I. C.: Max-Planck-Institut für Biogeochemie. In: Jahrbuch 2001 der Max-Planck-Gesellschaft zur Förderung der Wissenschaften, pp. 427 - 435. Vandenhoeck & Ruprecht, Göttingen (2001)
Prentice, I. C.: Interactions of climate change and the terrestrial biosphere. In: Geosphere-biosphere interactions and climate, pp. 176 - 198 (Eds. Bengtsson, L.; Hammer, C. U.). Pontifical Academy of Sciences, Cambridge (2001)
Prentice, I. C.; Farquhar, G. D.; Fasham, M. J. R.; Goulden, M. L.; Heimann, M.; Jaramillo, V. J.; Kheshgi, H. S.; Le Quéré, C.; Scholes, R. J.; Wallace, D. W. R.: The carbon cycle and atmospheric carbon dioxide. In: Climate Change 2001: the scientific basis, pp. 183 - 237 (Eds. Houghton, J. T.; Ding, Y.; Griggs, D. J.; Noguer, M.; Van Der Linden, P. J. et al.). Cambridge University Press, Cambridge (2001)
Prentice, I. C.; Raynaud, D.: Palaeobiogeochemistry. In: Global biogeochemical cycles in the climate system, pp. 87 - 94 (Eds. Schulze, E.-D.; Harrison, S. P.; Heimann, M.; Holland, E. A.; Lloyd, J. et al.). Academic Press, San Diego (2001)
Wallace, D. W. R.; Prentice, I. C.; Schimel, D.: The global carbon cycle. In: Contributions to global change research, pp. 22 - 29 (Ed. Heinen, D.). German National Committee on Global Change Research, Bonn (2001)
Francois, L.; Kaplan, J. O.; Otto, D.; Roelandt, C.; Harrison, S. P.; Prentice, I. C.; Warnant, P.; Ramstein, G.: Comparison of vegetation distributions and terrestrial carbon budgets reconstructed for the last glacial maximum with several biosphere models. In: Paleoclimate Modelling Intercomparison Project (PMIP). Proceedings of the third PMIP workshop, La Huardière, Canada, 4-8 October 1999, pp. 141 - 145 (Eds. De Vernal, A.; Braconnot, P.; Joussaume, S.; Taylor, K.) (2000)
Schulze, E.-D.; Prentice, I. C.: Max-Planck-Institut für Biogeochemie. In: Jahrbuch 2000 der Max-Planck-Gesellschaft zur Förderung der Wissenschaften, pp. 457 - 464. Vandenhoeck & Ruprecht, Göttingen (2000)
Yu, G.; Sun, X.; Qin, B.; Song, C.; Li, H.; Prentice, I. C.; Harrison, S. P.: Pollend-based reconstruction of vegetation patterns of China in Mid-Holocene. In: Proceedings for the 60th Anniversary of the Founding of Nanjing Institute of Geography and Limnology, pp. 369 - 375 (Ed. Nanjing Institute of Geography & Limnology, C.). Chinese Academic of Sciences (III) (2000)
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.