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Results: 227
Number of items: 227
  • Open Access
    Kroes, R., van Loon, E. E., Verdonschot, P. F. M., Winkel, Y., Overduin-de Vries, A. M., & van der Geest, H. G. (2025). Historical ecology of anadromous houting (Coregonus oxyrinchus / C. lavaretus) in the Rhine-Meuse delta. Global Ecology and Conservation, 62, Article e03823. https://doi.org/10.1016/j.gecco.2025.e03823
  • 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
    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
    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
    Lippert, F., Kranstauber, B., Forré, P., Dokter, A. M., & van Loon, E. E. (2025). Context-dependent decision-making in migratory birds: The roles of regional climate and preceding weather. (v1 ed.) Authorea. https://doi.org/10.22541/au.174679621.14192978/v1
  • 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
    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
    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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