Lam, O. H. Y.; Kattge, J.; Tautenhahn, S.; Boenisch, G.; Kovach, K. R.; Townsend, P. A.: ‘rtry’: An R package to support plant trait data preprocessing. Ecology and Evolution 14 (5), e11292 (2024)
Vamsi, K. K.; Tautenhahn, S.; Baddam, P.; Gaikwad, J.; Wieczorek, B.; Triki, A.; Kattge, J.: Comprehensive leaf size traits dataset for seven plant species from digitised herbarium specimen images covering more than two centuries. Biodiversity Data Journal 9, e69806 (2021)
Tautenhahn, S.; Migliavacca, M.; Kattge, J.: News on intra‐specific trait variation, species sorting, and optimality theory for functional biogeography and beyond. New Phytologist 228 (1), pp. 6 - 10 (2020)
Tautenhahn, S.; Grün-Wenzel, C.; Jung, M.; Higgins, S.; Römermann, C.: On the relevance of intraspecific trait variability—A synthesis of 56 dry grassland sites across Europe. Flora 254, pp. 161 - 172 (2019)
Tautenhahn, S.; Lichstein, J. W.; Jung, M.; Kattge, J.; Bohlman, S. A.; Heilmeier, H.; Prokushkin, A.; Kahl, A.; Wirth, C.: Dispersal limitation drives successional pathways in Central Siberian forests under current and intensified fire regimes. Global Change Biology 22 (6), pp. 2178 - 2197 (2016)
Jung, M.; Tautenhahn, S.; Wirth, C.; Kattge, J.: Estimating basal area of spruce and fir in post-fire residual stands in Central Siberia using Quickbird, feature selection, and Random Forests. Procedia Computer Science 18, pp. 2386 - 2395 (2013)
Tautenhahn, S.; Heilmeier, H.; Jung, M.; Kahl, A.; Kattge, J.; Moffat, A. M.; Wirth, C.: Beyond distance-invariant survival in inverse recruitment modeling: A case study in Siberian Pinus sylvestris forests. Ecological Modelling 233, pp. 90 - 103 (2012)
Tautenhahn, S.; Heilmeier, H.; Gotzenberger, L.; Klotz, S.; Wirth, C.; Kuhn, I.: On the biogeography of seed mass in Germany - distribution patterns and environmental correlates. Ecography 31 (4), pp. 457 - 468 (2008)
Extreme climate events endanger groundwater quality and stability, when rain water evades natural purification processes in the soil. This was demonstrated in long-term groundwater analyses using new analytical methods.
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.
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.
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.
EU funds the international research project AI4PEX to further improve Earth system models and thus scientific predictions of climate change. Participating scientists from 9 countries met at the end of May 2024 to launch the project at the MPI for Biogeochemistry in Jena, which is leading the project.