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)
Rzanny, M.; Seeland, M.; Wäldchen, J.; Mäder, P.: Acquiring and preprocessing leaf images for automated plant identification: understanding the tradeoff between effort and information gain. Plant Methods 13, 97 (2017)
Seeland, M.; Rzanny, M.; Alaqraa, N.; Wäldchen, J.; Mäder, P.: Plant species classification using flower images—A comparative study of local feature representations. PLoS One 12 (2), e0170629 (2017)
Begehold, H.; Rzanny, M.; Winter, S.: Patch patterns of lowland beech forests in a gradient of management intensity. Forest Ecology and Management 360, pp. 69 - 79 (2016)
A new study shows a natural solution to mitigate the effects of climate change such as extreme weather events. Researchers found that a diverse plant community acts as a buffer against fluctuations in soil temperature. This buffer, in turn, can have a decisive influence on important ecosystem processes.
Storing carbon in the soil can help to mitigate climate change. Soil organic matter bound to minerals in particular can store carbon in the long term. A new study shows that the formation of mineral-associated organic matter depends primarily on the type of mineral, but is also influenced by land use and cultivation intensity.
The future of the Amazon rainforest and its influence on the global climate were the focus of the visit by Frank-Walter Steinmeier and Steffi Lemke to the ATTO in Brazil. The President and the Federal Minister for the Environment visited the German-Brazilian research station on January 2nd.
Susan Trumbore receives AGU’s William Kaula Award, dedicated to “recognize an individual who has unselfishly served AGU’s publications program and the scientific community through extraordinary dedication and efforts”.
Dr. Henrik Hartmann, group leader at the MPI for Biogeochemistry, takes over the management of the newly founded Institute for Forest Conservation at the Julius Kühn Institute (JKI) in Quedlinburg. We are happy with him about his new area of responsibility and we will stay in touch.