Publikationen von Jana Wäldchen

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), S. 2178 - 2181 (2024)

Schatke, M.; Ulber, L.; Musavi, T.; Wäldchen, J.; von Redwitz, C.: From unwanted to wanted: Blending functional weed traits into weed distribution maps. Weed Research 64 (6), S. 407 - 417 (2024)

Hodač, L.; Karbstein, K.; Kösters, L.; Rzanny, M.; Wittich, H. C.; Boho, D.; Šubrt, D.; Mäder, P.; Wäldchen, J.: Deep learning to capture leaf shape in plant images: Validation by geometric morphometricss. The Plant Journal 120 (4), S. 1343 - 1357 (2024)

Hofmann, M.; Kiel, S.; Kösters, L.; Wäldchen, J.; Mäder, P.: Inferring taxonomic affinities and genetic distances using morphological features extracted from specimen images: a case study with a bivalve data set. Systematic Biology 73 (6), S. 920 - 940 (2024)

Karbstein, K.; Kösters, L.; Hodač, L.; Hofmann, M.; Hörandl, E.; Tomasello, S.; Wagner, N. D.; Emerson, B. C.; Albach, D. C.; Scheu, S. et al.; Bradler, S.; de Vries, J.; Irisarri, I.; Li, H.; Soltis, P.; Mäder, P.; Wäldchen, J.: Species delimitation 4.0: integrative taxonomy meets artificial intelligence. Trends in Ecology and Evolution 39 (8), S. 771 - 784 (2024)

Mora, K.; Rzanny, M.; Wäldchen, J.; Feilhauer, H.; Kattenborn, T.; Kraemer, G.; Mäder, P.; Svidzinska, D.; Wolf, S.; Mahecha, M. D.: Macrophenological dynamics from citizen science plant occurrence data. Methods in Ecology and Evolution 15 (8), S. 1422 - 1437 (2024)

Nauber, T.; Hodač, L.; Wäldchen, J.; Mäder, P.: Parametrization of biological assumptions to simulate growth of tree branching architectures. Tree Physiology 44 (5), tpae045 (2024)

Sheard, J. K.; Adriaens, T.; Bowler, D. E.; Büermann, A.; Callaghan, C. T.; Camprasse, E. C. M.; Chowdhury, S.; Engel, T.; Finch, E. A.; von Gönner, J. et al.; Hsing, P.-Y.; Mikula, P.; Oh, R. Y. R.; Peters, B.; Phartyal, S. S.; Pocock, M. J. O.; Wäldchen, J.; Bonn, A.: Emerging technologies in citizen science and potential for insect monitoring. Philosophical Transactions of the Royal Society of London, Series B: Biological Sciences 379 (1904), 20230106 (2024)

Rzanny, M.; Mäder, P.; Wittich, H. C.; Boho, D.; Wäldchen, J.: Opportunistic plant observations reveal spatial and temporal gradients in phenology. npj Biodiversity 3, 5 (2024)

Bebber, A.; Wäldchen, J.: Flora Incognita – mehr als Pfanzenbestimmung. Biologie in unserer Zeit 54 (1), S. 29 - 31 (2024)

Katal, N.; Rzanny, M.; Mäder, P.; Römermann, C.; Wittich, H. C.; Boho, D.; Musavi, T.; Wäldchen, J.: Bridging the gap: How to adopt opportunistic plant observations for phenology monitoring. Frontiers in Plant Science 14, 1150956 (2023)

Schneider, C.; Wäldchen, J.; Mäder, P.: Künstliche Intelligenz im Naturschutz. Natur und Landschaft 98 (6+7), S. 304 - 311 (2023)

Milz, S.; Wäldchen, J.; Abouee, A.; Ravichandran, A. A.; Schall, P.; Hagen, C.; Borer, J.; Lewandowski, B.; Wittich, H.-C.; Mäder, P.: The HAInich: A multidisciplinary vision data-set for a better understanding of the forest ecosystem. Scientific Data 10, 168 (2023)

Hodač, L.; Karbstein, K.; Tomasello, S.; Wäldchen, J.; Bradican, J. P.; Hörandl, E.: Geometric morphometric versus genomic patterns in a large polyploid plant species complex. Biology 12 (3), 418 (2023)

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), S. 1603 - 1615 (2022)

van Klink, R.; August, T.; Bas, Y.; Bodesheim, P.; Bonn, A.; Fossøy, F.; Høye, T. T.; Jongejans, E.; Menz, M. H.M.; Miraldo, A. et al.; Roslin, T.; Roy, H. E.; Ruczyński, I.; Schigel, D.; Schäffler, L.; Sheard, J. K.; Svenningsen, C.; Tschan, G. F.; Wäldchen, J.; Zizka, V. M.A.; Åström, J.; Bowler, D. E.: Emerging technologies revolutionise insect ecology and monitoring. Trends in Ecology and Evolution 37 (10), S. 872 - 885 (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)

Rzanny, M.; Wittich, H. C.; Mäder, P.; Deggelmann, A.; Boho, D.; Wäldchen, J.: Image-based automated recognition of 31 Poaceae species: The most relevant perspectives. Frontiers in Plant Science 12, 804140 (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), S. 1131 - 1142 (2021)

Pärtel, J.; Pärtel, M.; Wäldchen, J.: Plant image identification application demonstrates high accuracy in Northern Europe. AOB PLANTS 13 (4), plab050 (2021)