Publikacijos

  • 2022 m.

    Silva, C.N.S., Dainys, J., Simmons, S., Vienožinskis, V., Audzijonytė, A. 2022. A Scalable open-source framework for machine learning-based image collection, annotation and classification: A case study for automatic fish species identification. Sustainability, 14 (21): art. no. 14324. https://doi.org/10.3390/su142114324

  • 2022 m.

    Dainys, J., Jakubavičiūtė, E., Gorfine, H., Kirka, M., Raklevičiūtė, A., Morkvėnas, A., Pūtys, Ž., Ložys, L., Audzijonytė, A. 2022. Impacts of recreational angling on fish population recovery after a commercial fishing ban. Fishes, 7 (5): art. no. 232. https://doi.org/10.3390/fishes7050232

  • 2022 m.

    Lindmark, M., Audzijonytė, A., Blanchard, J.L., Gardmark, A. 2022. Temperature impacts on fish physiology and resource abundance lead to faster growth but smaller fish sizes and yields under warming. Global Change Biology, 28 (21): 6239–6253. https://doi.org/10.1111/gcb.16341

  • 2022 m.

    Dainys, J., Gorfine, H., Mateos-Gonzalez, F ., Skov, C., Urbanavic, R., Audzijonytė, A. 2022. Angling counts: Harnessing the power of technological advances for recreational fishing surveys. Fisheries Research, 254: art. no. 106410. https://doi.org/10.1016/j.fishres.2022.106410

  • 2022 m.

    Copilas-Ciocianu, D., Rewicz, T., Sands, A.F., Palatov, D., Marin, I., Arbačiauskas, K.,Hebert, P.D.N., Grabowski, M., Audzijonytė, A. 2022. A DNA barcode reference library for endemic Ponto-Caspian amphipods. Scientific Reports, 12 (1): art. no 11332. https://doi.org/10.1038/s41598-022-15442-w

  • 2020 m.

    Butkus, R., Baltrūnaitė, L., Arbačiauskas, K., Audzijonytė, A. (2020) Two lineages of the invasive New Zealand mudsnail Potamopyrgus antipodarum spreading in the Baltic and Black sea basins: low genetic diversity and different salinity preferences. Biological Invasions, 22 (12): 3551–3559. https://doi.org/10.1007/s10530-020-02340-3

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