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)
On June 24, Prof. Dr. Henrik Hartmann, head of the Julius Kühn Institute for Forest Protection and former group leader at the Max Planck Institute for Biogeochemistry, received an important award for his scientific achievements in the field of forestry. Our warmest congratulations!
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.
Information gaps in global maps of plant characteristics can be filled with data from nature identification apps. Users of the iNaturalist app are playing a key role in helping researchers create global maps of plant traits. Among other things, the new maps provide an improved basis for understanding plant-environment interactions and for Earth system modeling.
An international research team has succeeded in identifying globally acting factors that cause the diversity of forms and functions of plants. Researchers compiled plant data from around the world and were able to show for the first time how strongly these are determined by climate and soil properties for characteristics such as the size, structure and life span of plants.