Plant macrophenological dynamics - from individuals to plant group behaviour using citizen science data
- 1Leipzig University, Leipzig, Germany (karin.mora@uni-leipzig.de)
- 2Max Planck Institute for Biogeochemistry, 07745 Jena, Germany
- 3Department for Sensor-based Geoinformatics, University of Freiburg, 79106 Freiburg, Germany
- 4Data Intensive Systems and Visualisation, Technische Universität Ilmenau, 98693 Ilmenau, Germany
- 5German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, 04103 Leipzig, Germany
- 6Faculty of Biological Sciences, Friedrich Schiller University, 07743 Jena, Gemany
- 7Center for Scalable Data Analytics and Artificial Intelligence, ScaDS.AI Dresden/Leipzig, Germany.
Understanding the implications of climate change on ecosystems necessitates continuous monitoring of plant phenology. While citizen science data collected through smartphone applications offer a rich source of information, existing phenology studies predominantly focus on individual species.
This study introduces a pioneering data science approach to quantify plant group behaviour from individual observations. Leveraging over ten million ground measurements of plant observations obtained through the Flora Incognita plant identification app in Germany from 2018 to 2023, our analysis unveils macrophenological patterns arising from plant group behaviour. The findings indicate nonlinear changes in group behaviour across the annual cycle.
Furthermore, we explore the relationship between these macrophenological patterns on the ground and phenology derived from remote sensing data. The growing databases of citizen science holds great potential to investigate climate-induced phenological shifts and provide valuable insights into plant group behaviour.
How to cite: Mora, K., Rzanny, M., Wäldchen, J., Feilhauer, H., Kattenborn, T., Kraemer, G., Mäder, P., Svidzinska, D., Wolf, S., and Mahecha, M. D.: Plant macrophenological dynamics - from individuals to plant group behaviour using citizen science data, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-17491, https://doi.org/10.5194/egusphere-egu24-17491, 2024.
