Rzanny, M.; Bebber, A.; Wittich, H. C.; Fritz, A.; Boho, D.; Mäder, P.; Wäldchen, J.: More than rapid identification—Free plant identification apps can also be highly accurate. People and Nature 6 (6), pp. 2178 - 2181 (2024)
Wäldchen, J.; Wittich, H. C.; Rzanny, M.; Fritz, A.; Mäder, P.: Towards more effective identification keys: A study of people identifying plant species characters. People and Nature 4 (6), pp. 1603 - 1615 (2022)
Katal, N.; Rzanny, M.; Mäder, P.; Wäldchen, J.: Deep learning in plant phenological research: A systematic literature review. Frontiers in Plant Science 13, 805738 (2022)
Schmid, B.; Schmitz, M.; Rzanny, M.; Scherer-Lorenzen, M.; Mwangi, P. N.; Weisser, W. W.; Hector, A.; Schmid, R.; Flynn, D. F. B.: Removing subordinate species in a biodiversity experiment to mimic observational field studies. Grassland Research 1 (1), pp. 53 - 62 (2022)
Mahecha, M. D.; Rzanny, M.; Kraemer, G.; Mäder, P.; Seeland, M.; Wäldchen, J.: Crowd-sourced plant occurrence data provide a reliable description of macroecological gradients. Ecography 44 (8), pp. 1131 - 1142 (2021)
Mäder, P.; Boho, D.; Rzanny, M.; Seeland, M.; Wittich, H. C.; Deggelmann, A.; Wäldchen, J.: The Flora Incognita app – interactive plant species identfication. Methods in Ecology and Evolution 12 (7), pp. 1335 - 1342 (2021)
Rzanny, M.; Mäder, P.; Deggelmann, A.; Chen, M.; Wäldchen, J.: Flowers, leaves or both? How to obtain suitable images for automated plant identification. Plant Methods 15, 77 (2019)
Hines, J.; Giling, D. P.; Rzanny, M.; Voigt, W.; Meyer, S. T.; Weisser, W. W.; Eisenhauer, N.; Ebeling, A.: A meta‐food web for invertebrate species collected in a European grassland. Ecology 100 (6), e02679 (2019)
Seeland, M.; Rzanny, M.; Boho, D.; Wäldchen, J.; Mäder, P.: Image-based classification of plant genus and family for trained and untrained plant species. BMC Bioinformatics 20, 4 (2019)
Wittich, H. C.; Seeland, M.; Wäldchen, J.; Rzanny, M.; Mäder, P.: Recommending plant taxa for supporting on-site species identification. BMC Bioinformatics 19, 190 (2018)
Ebeling, A.; Rzanny, M.; Lange, M.; Eisenhauer, N.; Hertzog, L. R.; Meyer, S. T.; Weisser, W. W.: Plant diversity induces shifts in the functional structure and diversity across trophic levels. Oikos 127 (2), pp. 208 - 219 (2018)
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.