A light blue banner on which numerous circles are depicted in which various flowers can be seen. The three flowers that make up the home screen of the Flora Incognita app are placed in the centre of the banner.

Publications of Jana Wäldchen

Journal Article (40)

1.
Journal Article
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)
2.
Journal Article
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), pp. 407 - 417 (2024)
3.
Journal Article
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), pp. 1343 - 1357 (2024)
4.
Journal Article
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), pp. 920 - 940 (2024)
5.
Journal Article
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), pp. 771 - 784 (2024)
6.
Journal Article
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), pp. 1422 - 1437 (2024)
7.
Journal Article
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)
8.
Journal Article
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)
9.
Journal Article
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)
10.
Journal Article
Bebber, A.; Wäldchen, J.: Flora Incognita – mehr als Pfanzenbestimmung. Biologie in unserer Zeit 54 (1), pp. 29 - 31 (2024)
11.
Journal Article
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)
12.
Journal Article
Schneider, C.; Wäldchen, J.; Mäder, P.: Künstliche Intelligenz im Naturschutz. Natur und Landschaft 98 (6+7), pp. 304 - 311 (2023)
13.
Journal Article
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)
14.
Journal Article
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)
15.
Journal Article
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)
16.
Journal Article
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), pp. 872 - 885 (2022)
17.
Journal Article
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)
18.
Journal Article
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)
19.
Journal Article
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)
20.
Journal Article
Pärtel, J.; Pärtel, M.; Wäldchen, J.: Plant image identification application demonstrates high accuracy in Northern Europe. AOB PLANTS 13 (4), plab050 (2021)
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