Schaphoff, S.; von Bloh, W.; Rammig, A.; Thonicke, K.; Biemans, H.; Forkel, M.; Gerten, D.; Heinke, J.; Jägermeyr, J.; Knauer, J.et al.; Langerwisch, F.; Lucht, W.; Müller, C.; Rolinski, S.; Waha, K.: LPJmL4 – a dynamic global vegetation model with managed land – Part 1: Model description. Geoscientific Model Development 11 (4), pp. 1343 - 1375 (2018)
Knauer, J.; Zaehle, S.; Reichstein, M.; Medlyn, B. E.; Forkel, M.; Hagemann, S.; Werner, C.: The response of ecosystem water-use efficiency to rising atmospheric CO2 concentrations: sensitivity and large-scale biogeochemical implications. New Phytologist 213 (4), pp. 1654 - 1666 (2017)
Filippa, G.; Cremonese, E.; Migliavacca, M.; Galvagno, M.; Forkel, M.; Wingate, L.; Tomelleri, E.; di Cella, U. M.; Richardson, A. D.: Phenopix: A R package for image-based vegetation phenology. Agricultural and Forest Meteorology 220, pp. 141 - 150 (2016)
Sippel, S.; Otto, F. E. L.; Forkel, M.; Allen, M. R.; Guillod, B. P.; Heimann, M.; Reichstein, M.; Seneviratne, S. I.; Thonicke, K.; Mahecha, M. D.: A novel bias correction methodology for climate impact simulations. Earth System Dynamics 7 (1), pp. 71 - 88 (2016)
Thurner, M.; Beer, C.; Carvalhais, N.; Forkel, M.; Santoro, M.; Tum, M.; Schmullius, C.: Large-scale variation in boreal and temperate forest carbon turnover rate is related to climate. Geophysical Research Letters 43 (9), pp. 4576 - 4585 (2016)
Forkel, M.; Migliavacca, M.; Thonicke, K.; Reichstein, M.; Schaphoff, S.; Weber, U.; Carvalhais, N.: Codominant water control on global interannual variability and trends in land surface phenology and greenness. Global Change Biology 21 (9), pp. 3414 - 3435 (2015)
Forkel, M.; Carvalhais, N.; Schaphoff, S.; Bloh, W. v.; Migliavacca, M.; Thurner, M.; Thonicke, K.: Identifying environmental controls on vegetation greenness phenology through model-data integration. Biogeosciences 11 (23), pp. 7025 - 7050 (2014)
Urban, M.; Forkel, M.; Eberle, J.; Hüttich, C.; Schmullius, C.; Herold, M.: Pan-arctic climate and land cover trends derived from multi-variate and multi-scale analyses (1981–2012). Remote Sensing 6 (3), pp. 2296 - 2316 (2014)
Urban, M.; Forkel, M.; Schmullius, C.; Hese, S.; Hüttich, C.; Herold, M.: Identification of land surface temperature and albedo trends in AVHRR pathfinder data from 1982 to 2005 for northern Siberia. International Journal of Remote Sensing 34 (12), pp. 4491 - 4507 (2014)
Forkel, M.; Carvalhais, N.; Verbesselt, J.; Mahecha, M. D.; Neigh, C. S.R.; Reichstein, M.: Trend change detection in NDVI time series: Effects of inter-annual variability and methodology. Remote Sensing 5 (5), pp. 2113 - 2144 (2013)
Forkel, M.; Thonicke, K.; Beer, C.; Cramer, W.; Bartalev, S.; Schmullius, C.: Extreme fire events are related to previous-year surface moisture conditions in permafrost-underlain larch forests of Siberia. Environmental Research Letters 7 (4), 044021 (2012)
Forkel, M.: Controls on Global Greening, Phenology and the Enhanced Seasonal CO2 Amplitude: Integrating Decadal Satellite Observations and Global Ecosystem Models. Dissertation, 323 pp., Friedrich Schiller University Jena, Jena (2015)
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.
Extreme precipitation should increase with warmer temperatures. Data from tropical regions show that this correlation is obscured by the cooling effect of clouds. When cloud effects are corrected, the increase in extreme precipitation with rising temperatures becomes apparent.
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.
David Hafezi Rachti was awarded twice: for his EGU poster with this year’s “Outstanding Student and PhD candidate Presentation” (OSPP) and for his Bachelor thesis, he received the 1st prize of the “Young Climate Scientist Award 2024”.
The Global Carbon Project shows that fossil CO2 emissions will continue to rise in 2024. There is no sign of the rapid and substantial decline in emissions that would be needed to limit the impact of climate change
The Chinese Academy of Sciences (CAS) and the German National Academy of Sciences Leopoldina will hold a joint conference on the challenges of achieving carbon neutrality in Berlin on October 29-30, 2024.
Experts from science, journalism, local authorities and non-governmental organizations consider a change of course in communication on climate issues to be urgently needed. The appeal was published on the occasion of the K3 Congress on Climate Communication with around 400 participants in Graz.
A recent study by scientists from the Max Planck Institute for Biogeochemistry and the University of Leipzig suggests that increasing droughts in the tropics and changing carbon cycle responses due to climate change are not primarily responsible for the strong tropical response to rising temperatures. Instead, a few particularly strong El Niño events could be the cause.
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.