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)
The BIOMASS satellite was successfully launched into orbit on 29 April 2025. The BIOMASS mission is designed to map and monitor global forests. It will map the structure of different forest types and provide data on above-ground biomass.
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.
Recently, representatives of the Brazilian Ministry of Research and foreign ambassadors visited the German-Brazilian research station ATTO. On site, Research Minister Pontes promised multi-million investments in Amazon research and also in ATTO. This is intended to further expand the infrastructure and strengthen research in Brazil.
For the German-Brazilian joint project ATTO (Amazon Tall Tower Observatory), the Max Planck Society on the German side will continue to ensure the continued operation of the research station in the Brazilian rainforest and research. In addition, the German Federal Ministry of Education and Research (BMBF) will fund the project with ATTO+ for another three years with around 5 million euros.