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)
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.
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.
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.
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.
Germany's most popular plant identification app "Flora Incognita" has been further upgraded by a new artificial intelligence. This triples the number of plant species that can be identified up to 16,000. In addition, the app is now available in 20 different languages and also in offline mode.
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.
Mobile apps like Flora Incognita that allow automated identification of wild plants cannot only identify plant species, but also uncover large scale ecological patterns. These patterns are surprisingly similar to the ones derived from long-term inventory data of the German flora, even though they have been acquired over much shorter time periods and are influenced by user behaviour.