Benk, S.; Yan, L.; Lehmann, R.; Roth, V.-N.; Schwab, V. F.; Totsche, K. U.; Küsel, K.; Gleixner, G.: Fueling diversity in the subsurface: Composition and age of dissolved organic matter in the critical zone. Frontiers in Earth Science 7, 296 (2019)
Simon, C.; Roth, V.-N.; Dittmar, T.; Gleixner, G.: Molecular signals of heterogeneous terrestrial environments identified in dissolved organic matter: a comparative analysis of orbitrap and ion cyclotron resonance mass spectrometers. Frontiers in Earth Science 6, 138 (2018)
Seifert, A.-G.; Roth, V.-N.; Dittmar, T.; Gleixner, G.; Breuer, L.; Houska, T.; Marxsen, J.: Comparing molecular composition of dissolved organic matter in soil and stream water: Influence of land use and chemical characteristics. Science of the Total Environment 571, pp. 142 - 152 (2016)
Roth, V.-N.; Dittmar, T.; Gaupp, R.; Gleixner, G.: The molecular composition of dissolved organic matter in forest soils as a function of pH and temperature. PLoS One 10 (3), e0119188 (2015)
Roth, V.-N.; Dittmar, T.; Gaupp, R.; Gleixner, G.: Latitude and pH driven trends in the molecular composition of DOM across a north south transect along the Yenisei River. Geochimica et Cosmochimica Acta 123, pp. 93 - 105 (2013)
Roth, V.-N.: Molecular characterization of dissolved organic matter by ultrahigh-resolution mass spectrometry. Dissertation, Friedrich Schiller University Jena, Jena (2013)
In the annual ranking of the world's most cited and thus most influential scientists, five authors from our institute are once again represented in 2024.
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 Chapter of the Order has elected the writer, philosopher and filmmaker Alexander Kluge and the mathematician Gerd Faltings as domestic members of the Order and the geologist Susan Trumbore and the literary scholar Stephen Greenblatt as foreign members.
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.
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!
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.
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.