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Results: 221
Number of items: 221
  • Open Access
    Schaller, C., Dorren, L., Schwarz, M., Moos, C., Seijmonsbergen, A. C., & Van Loon, E. E. (2025). Predicting the thickness of shallow landslides in Switzerland using machine learning. Natural Hazards and Earth System Sciences, 25(2), 467-491. https://doi.org/10.5194/nhess-25-467-2025
  • Open Access
    Schaller, C., Dorren, L., Cohen, D., Seijmonsbergen, A. C., & van Loon, E. E. (2025). Optimisation and application of a high-resolution shallow landslide model at regional scale. Natural Hazards, 121(19), 22817–22849. https://doi.org/10.1007/s11069-025-07701-6
  • Open Access
    Lippert, F. (2025). From weather radars to bird migration fluxes: Process-guided machine learning for spatio-temporal forecasting and inference. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Linssen, H., Lameris, T. K., Boom, M. P., Nuijten, R. J. M., Buitendijk, N. H., Dokter, A. M., Ebbinge, B. S., Eichhorn, G., Geisler, J., Haitjema, T., Kölzsch, A., Kruckenberg, H., Leyrer, J., Madsen, J., Mitchell, C., Moonen, S., Müskens, G. J. D. M., Schreven, K. H. T., Vergin, L., ... Nolet, B. A. (2025). Scope for waterfowl to speed up migration to a warming Arctic. Nature Climate Change, 15(10), 1107–1114. https://doi.org/10.1038/s41558-025-02419-6
  • Open Access
    Hoekstra, B. D., Kranstauber, B., Bradarić, M., De Groeve, J., Shinneman, S., Wijers, B. C., Leijnse, H., van Gasteren, J. R., Dokter, A. M., van Loon, E. E., & Shamoun - Baranes, J. Z. (2025). Large-scale mapping of nocturnal bird migration to accelerate a nature-inclusive energy transition. Journal of Environmental Management, 395, Article 127753. https://doi.org/10.1016/j.jenvman.2025.127753
  • de Nijs, E. A., Tietema, A., Bol, R. A., & van Loon, E. E. (2024, September 17). Evaluating rose yield responses to compost treatments: Data from an 18-month field study in Kenya [Data set]. Zenodo. https://doi.org/10.5281/zenodo.13772892
  • Ydenberg, R., Van Loon, E., Bos, D., & Van Hemert, H. (2024). Replication Data for: Damage to dykes and levees in The Netherlands is extensive and increases with Muskrat (Ondatra zibethicus) density [Data set]. DataverseNL. https://doi.org/10.34894/fjr2s8
  • te Wierik, S., Keune, J., Miralles, D. G., Gupta, J., Artzy - Randrup, Y., Cammeraat, E., & van Loon, E. (2024, June 6). Critical importance of tree and non-tree vegetation for African precipitation [Data set]. Zenodo. https://doi.org/10.5281/zenodo.11502033
  • Open Access
    Berger, U., Bell, A., Barton, C. M., Chappin, E., Dreßler, G., Filatova, T., Fronville, T., Lee, A., van Loon, E., Lorscheid, I., Meyer, M., Müller, B., Piou, C., Radchuk, V., Roxburgh, N., Schüler, L., Troost, C., Wijermans, N., Williams, T. G., ... Grimm, V. (2024). Towards reusable building blocks for agent-based modelling and theory development. Environmental Modelling & Software, 175, Article 106003. https://doi.org/10.1016/j.envsoft.2024.106003
  • Open Access
    Linssen, H., van Loon, E. E., Shamoun-Baranes, J. Z., Vergin, L., Leyrer, J., & Nolet, B. A. (2024). Tracking data as an alternative to resighting data for inferring population ranges. Journal of Biogeography, 51(12), 2356-2368. https://doi.org/10.1111/jbi.14996
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