Our interdisciplinary research project ECOSENSE investigates all relevant scales in a next generation ecosystem research assessment. Our vision is to detect and forecast critical changes in ecosystem functioning based on the understanding of hierarchical process interaction. To do so ECOSENSE develops, implements, and tests a new versatile, distributed, cost-effective, autonomous, intelligent sensor network based on novel microsensors tailored to the specific needs in remote and harsh forest environments.
The CRC ECOSENSE cordially invites you to join the international ECOSENSE conference from September, 29th to October, 1st 2025 in Freiburg, the “green” city in Southern Germany.
News
Spokespersons
The ECOSENSE Team
Publications
- Vaezi, M.R.; Korvink, J.G.; Jouda, M. (2024) Simultaneous multinuclear MRI via a single RF channel. J Magn Reson 368, 107782. https://doi.org/10.1016/j.jmr.2024.107782
- Esmaeilizadshali, H.; Lehmkuhl, S.; Korvink, J.; Jouda, M. (2024) Localized Shims Enable Low-Field Simultaneous Multinuclear NMR Spectroscopy. Anal. Chem. https://doi.org/10.1021/acs.analchem.4c02965
- Lee, C.H.; Korvink, J.G., Jouda, M. (2024) Frequency multiplexing enables parallel multi-sample EPR. Sci Rep 14, 11815. https://doi.org/10.1038/s41598-024-62564-4
- Kattenborn, T.; Wieneke, S.; Montero, D. et al. (2024) Temporal dynamics in vertical leaf angles can confound vegetation indices widely used in Earth observations. Commun Earth Environ 5, 550. https://doi.org/10.1038/s43247-024-01712-0
- Werner, C.; Wallrabe, U. et al. (2024). ECOSENSE – Multi-scale quantification and modelling of spatio-temporal dynamics of ecosystem processes by smart autonomous sensor networks. Research Ideas and Outcomes, 10: e129357, https://doi.org/10.3897/rio.10.e129357