Churkina, G.; Brown, D. G.; Keoleian, G.: Carbon stored in human settlements: the conterminous United States. Global Change Biology 16 (1), pp. 135 - 143 (2010)
Churkina, G.; Zaehle, S.; Hughes, J.; Viovy, N.; Chen, Y.; Jung, M.; Heumann, B. W.; Ramankutty, N.; Heimann, M.; Jones, C.: Interactions between nitrogen deposition, land cover conversion, and climate change determine the contemporary carbon balance of Europe. Biogeosciences 7 (9), pp. 2749 - 2764 (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)
Churkina, G.; Brovkin, V.; Von Bloh, W.; Trusilova, K.; Jung, M.; Dentener, F.: Synergy of rising nitrogen depositions and atmospheric CO2 on land carbon uptake moderately offsets global warming. Global Biogeochemical Cycles 23, p. GB4027 (2009)
Trusilova, K.; Jung, M.; Churkina, G.: On climate impacts of a potential expansion of urban land in Europe. Journal of Applied Meteorology and Climatology 48, pp. 1971 - 1980 (2009)
Hakkenberg, R.; Churkina, G.; Rodeghiero, M.; Börner, A.; Steinhof, A.; Cescatti, A.: Temperature sensitivity of the turnover times of soil organic matter in forests. Ecological Applications 18 (1), pp. 119 - 131 (2008)
Richardson, A. D.; Mahecha, M. D.; Falge, E.; Kattge, J.; Moffat, A. M.; Papale, D.; Reichstein, M.; Stauch, V. J.; Braswell, B. H.; Churkina, G.et al.; Kruijt, B.; Hollinger, D. Y.: Statistical properties of random CO2 flux measurement uncertainty inferred from model residuals. Agricultural and Forest Meteorology 148 (1), pp. 38 - 50 (2008)
Trusilova, K.; Churkina, G.: The response of the terrestrial biosphere to urbanization: land cover conversion, climate, and urban pollution. Biogeosciences 5 (6), pp. 1505 - 1515 (2008)
Trusilova, K.; Jung, M.; Churkina, G.; Karstens, U.; Heimann, M.; Claussen, M.: Urbanization impacts on the climate in Europe: Numerical experiments by the PSU-NCAR Mesoscale Model (MM5). Journal of Applied Meteorology and Climatology 47 (5), pp. 1442 - 1455 (2008)
Jung, M.; Le Maire, G.; Zaehle, S.; Luyssaert, S.; Vetter, M.; Churkina, G.; Ciais, P.; Viovy, N.; Reichstein, M.: Assessing the ability of three land ecosystem models to simulate gross carbon uptake of forests from boreal to Mediterranean climate in Europe. Biogeosciences 4 (4), pp. 647 - 656 (2007)
Jung, M.; Vetter, M.; Herold, M.; Churkina, G.; Reichstein, M.; Zaehle, S.; Ciais, P.; Viovy, N.; Bondeau, A.; Chen, Y.et al.; Trusilova, K.; Feser, F.; Heimann, M.: Uncertainties of modeling gross primary productivity over Europe: A systematic study on the effects of using different drivers and terrestrial biosphere models. Global Biogeochemical Cycles 21 (4), p. Gb4021 (2007)
Moffat, A. M.; Papale, D.; Reichstein, M.; Hollinger, D. Y.; Richardson, A. D.; Barr, A. G.; Beckstein, C.; Braswell, B. H.; Churkina, G.; Desai, A. R.et al.; Falge, E.; Gove, J. H.; Heimann, M.; Hui, D. F.; Jarvis, A. J.; Kattge, J.; Noormets, A.; Stauch, V. J.: Comprehensive comparison of gap-filling techniques for eddy covariance net carbon fluxes. Agricultural and Forest Meteorology 147 (3-4), pp. 209 - 232 (2007)
Jung, M.; Henkel, K.; Herold, M.; Churkina, G.: Exploiting synergies of global land cover products for carbon cycle modeling. Remote Sensing of Environment 101 (4), pp. 534 - 553 (2006)
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.