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Results: 221
Number of items: 221
  • Open Access
    Schaller, C. (2026). Shallow landslides in Switzerland: Applied geospatial modelling and machine learning. [Thesis, externally prepared, Universiteit van Amsterdam].
  • Open Access
    Linssen, H. J. (2026). The making of movement: Individual processes shaping the development and future of migration in Bewick's swans. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Thomas, C. L., Jansen, B., van Loon, E. E., & Wiesenberg, G. L. B. (2025). Evaluating the applicability of the VERHIB model to a 2600-year peat sequence from Central Germany. Applied Geochemistry, 184, Article 106338. https://doi.org/10.1016/j.apgeochem.2025.106338
  • Open Access
    de Nijs, E. A., Tietema, A., Bol, R., & van Loon, E. E. (2025). Modeling Cut Rose Yield Over an 18-Month Period After Compost Amendment Using Repeated Sigmoidal Gompertz Curve Fitting. Plant-Environment Interactions, 6(3), Article e70049. https://doi.org/10.1002/pei3.70049
  • Open Access
    Valderrama-Bhraunxs, N., Huyse, T., van Loon, E., Van Rompaey, A., Twongyirwe, R., & Jacobs, L. (2025). Great minds map alike: Citizen and expert distribution models of schistosome snail hosts in rural west Uganda. Ecological solutions and evidence, 6(4), Article e70163. https://doi.org/10.1002/2688-8319.70163
  • 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
    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
    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
    Davidson, S. C., Cagnacci, F., Newman, P., Dettki, H., Urbano, F., Desmet, P., Bajona, L., Bryant, E., Carneiro, A. P. B., Dias, M. P., Fujioka, E., Gambin, D., Hoenner, X., Hunter, C., Kato, A., Kot, C. Y., Kranstauber, B., Lam, C. H., Lepage, D., ... Rutz, C. (2025). Establishing bio-logging data collections as dynamic archives of animal life on Earth. Nature Ecology and Evolution, 9(2), 204–213. https://doi.org/10.1038/s41559-024-02585-4
  • 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
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