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)
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)
Dunker, S.; Boho, D.; Wäldchen, J.; Mäder, P.: Combining high‑throughput imaging flow cytometry and deep learning for efficient species and life‑cycle stage identification of phytoplankton. BMC Ecology 18, 51 (2018)
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)
Wäldchen, J.; Mäder, P.: Plant species identification using computer vision: A systematic literature review. Archives of Computational Methods in Engineering 25 (2), pp. 507 - 543 (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)
Wäldchen, J.; Thuille, A.; Seeland, M.; Rzanny, M.; Schulze, E. D.; Boho, D.; Alaqraa, N.; Hofmann, M.; Mäder, P.: Flora Incognita – Halbautomatische Bestimmung der Pflanzenarten Thüringens mit dem Smartphone. Landschaftspflege und Naturschutz in Thüringen 53 (3), pp. 121 - 125 (2016)
Schulze, E. D.; Bouriaud, O.; Wäldchen, J.; Eisenhauer, N.; Walentowski, H.; Seele, C.; Heinze, E.; Pruschitzki, U.; Dănilă, G.; Marin, G.et al.; Hessenmöller, D.; Bouriaud, L.; Teodosiu, M.: Ungulate browsing causes species loss in deciduous forests independent of community dynamics and silvicultural management in Central and Southeastern Europe. Annals of Forest Research 57 (2), pp. 267 - 288 (2014)
Walentowski, H.; Schulze, E. D.; Teodosiu, M.; Bouriaud, O.; von Heßberg, A.; Bußler, H.; Baldauf, L.; Schulze, I.; Wäldchen, J.; Böcker, R.et al.; Herzog, S.; Schulze, W.: Sustainable forest management of Natura 2000 sites: a case study from a private forest in the Romanian Southern Carpathians. Annals of Forest Research 56 (1), pp. 217 - 245 (2013)
Wäldchen, J.; Schöning, I.; Mund, M.; Schrumpf, M.; Bock, S.; Herold, N.; Uwe Totsche, K.; Schulze, E. D.: Estimation of clay content from easily measurable water content of air-dried soil. Journal of Plant Nutrition and Soil Science 175 (3), pp. 367 - 376 (2012)
Wäldchen, J.; Schulze, E. D.; Mund, M.; Winkler, B.: Der Einfluss politischer, rechtlicher und wirtschaftlicher Rahmenbedingungen des 19. Jahrhunderts auf die Bewirtschaftung der Wälder im Hainich-Dün-Gebiet (Nordthüringen). Forstarchiv 82, pp. 35 - 47 (2011)
Wäldchen, J.; Pusch, J.; Luthardt, V.: Zur Diasporen-Keimfähigkeit von Segetalpflanzen: Untersuchungen in Nord-Thüringen. Beiträge für Forstwirtschaft und Landschaftsökologie 38 (2), pp. 145 - 156 (2005)
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!
We have gained a new external member: Prof. Dr. Christian Wirth has been appointed by the Senate of the Max Planck Society as External Scientific Member. As a former group leader and later fellow at the institute, Prof. Wirth initiated and supported the development of the TRY database, the world's largest collection on plant traits.
Information gaps in global maps of plant characteristics can be filled with data from nature identification apps. Users of the iNaturalist app are playing a key role in helping researchers create global maps of plant traits. Among other things, the new maps provide an improved basis for understanding plant-environment interactions and for Earth system modeling.
An international research team has succeeded in identifying globally acting factors that cause the diversity of forms and functions of plants. Researchers compiled plant data from around the world and were able to show for the first time how strongly these are determined by climate and soil properties for characteristics such as the size, structure and life span of plants.