Aarhus University Seal

Publications

Sort by: Date | Author | Title

Thoral, F., Pinkerton, M. H., Montie, S., Thomsen, M. S., Battershill, C. N., Filbee-Dexter, K., Gall, M., Miller, R. J., Orchard, S., Reed, D. C., Tait, L. W., Virgin, S. D. S., Wernberg, T., Zeldis, J. & Schiel, D. R. (2026). Marine darkwave as an event-based framework to assess unusual periods of reduced underwater light availability. Communications Earth and Environment, 7(1), Article 4. https://doi.org/10.1038/s43247-025-03023-4
Henry, L. A., Cleland, J., Gebruk, A., Schubert, R., Penna, A. D., Gaube, P., Mohn, C., Devine, B., Biastoch, A., Pagniello, C. M. L. S., Ferter, K., Wolff, G., Houghton, J., Davies, T., Carneiro, A. P. B., Froján, C. B., Wakefield, E., van Oevelen, D., Schumacher, M. ... Roberts, J. M. (2026). Mesoscale eddies in the subpolar North Atlantic: their ecological importance and conservation significance. Progress in Oceanography, 246, Article 103760. https://doi.org/10.1016/j.pocean.2026.103760
Schourup-Kristensen, V., Larsen, J., Vonnahme, T. R., Krawczyk, D. & Maar, M. (2026). Modeling Shrimp Larval Drift in Disko Bay: Linking Ocean Dynamics and Recruitment in a Changing Arctic. Abstract from Dansk Havforskermøde , Helsingør, Denmark.
Schenone, S., Heidari, S., Hillman, J., Azhar, M., Evans, T., Delmas, P. & Thrush, S. F. (2026). Oceans and Algorithms: Building Successful Collaborations Between Marine Science and Computer Vision. In J. Blanc-Talon, P. Delmas, H. Takahashi & M. Yasuhiro (Eds.), Advanced Concepts for Intelligent Vision Systems: 22nd International Conference, ACIVS 2025 (pp. 464-476). Springer. https://doi.org/10.1007/978-3-032-07343-3_37
Zhang, S. S., Altieri, A. H., Angelini, C., Curl, L. F., Morton, J. P., Paliotti, S. T., Thomsen, M. S. & Toone, T. A. (2026). Optimizing ecosystem restoration with facilitation cascades. BioScience, 76(1), 21-33. https://doi.org/10.1093/biosci/biaf138
Rogers, M., Knowles, K., Gendron, G., Heidari, S., Duporge, I., Valdez, D. A. S., Azhar, M., O’Leary, P., Eyre, S., Witbrock, M. & Delmas, P. (2026). Recurrence over Video Frames (RoVF) for Animal Re-identification. International Journal of Computer Vision, 134, Article 106. https://doi.org/10.1007/s11263-025-02709-8