Dr. M. (Maja) Bradarić
- Science Park 904
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Postbus 94240
1090 GE Amsterdam
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Profile
I am an ecologist with a main research focus on animal movement ecology. I am principally curious to understand how the environment shapes spatiotemporal patterns of animal movements to better comprehend their ecology and behaviour in a rapidly changing world. I am passionate about conservation and improving collaboration between scientists, governments, companies and NGOs to create actions to address the challenges the natural world is presented with. During my PhD, I developed a nocturnal bird migration forecast model that will be used by Rijkswaterstaat (Dutch Ministry of Infrastructure and Water Management) as a tool to help mitigate the collision risk between migratory birds and offshore wind turbines in the North Sea basin. So far, my research has mainly focused on reptiles, amphibians and birds, but I also enjoy learning more about insects, plants and fungi.
To learn more about me and my research, also check out:
1. https://avaz.ba/vijesti/bih/568299/istrazivanja-maglajke-o-pticama-koristit-ce-i-nizozemska-vlada (in Bosnian)
2. https://www.youtube.com/watch?v=aZTZFmzGgnc&ab_channel=BHFuturesFoundation (my video from the 3MT thesis competition organized by BH Futures Foundation)
3. https://vimeo.com/540556791?embedded=true&source=vimeo_logo&owner=107770983 (video created by Rijkswaterstaat about the whole project my research was part of, in Dutch and English)
4. https://www.noordzeeloket.nl/nieuws/nieuws/2023/nieuw-vogelvoorspellingsmodel-bijdragen-minder/ (an article about the bird migration forecast model, in Dutch)
I am also posting research via my Twitter account: @bradaric_maja (see above)
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Publications
2024
- Bradarić, M., Kranstauber, B., Bouten, W., & Shamoun-Baranes, J. (2024). Forecasting nocturnal bird migration for dynamic aeroconservation: The value of short-term datasets. Journal of Applied Ecology. Advance online publication. https://doi.org/10.1111/1365-2664.14651
- Bradarić, M., Kranstauber, B., Bouten, W., van Gasteren, H., & Shamoun Baranes, J. (2024). Drivers of flight altitude during nocturnal bird migration over the North Sea and implications for offshore wind energy. Conservation Science and Practice, 6(4), Article e13114. https://doi.org/10.1111/csp2.13114
van Erp, J. A., van Loon, E. E., De Groeve, J., Bradarić, M., & Shamoun-Baranes, J. (2024). A framework for post-processing bird tracks from automated tracking radar systems. Methods in Ecology and Evolution, 15(1), 130-143. https://doi.org/10.1111/2041-210X.14249 [details]
2020
- Bradarić, M., Bouten, W., Fijn, R. C., Krijgsveld, K. L., & Shamoun-Baranes, J. (2020). Winds at departure shape seasonal patterns of nocturnal bird migration over the North Sea. Journal of Avian Biology, 51(10), Article e02562. https://doi.org/10.1111/jav.02562 [details]
- Manola, I., Bradarić, M., Groenland, R., Fijn, R., Bouten, W., & Shamoun-Baranes, J. (2020). Associations of Synoptic Weather Conditions With Nocturnal Bird Migration Over the North Sea. Frontiers in Ecology and Evolution, 8, Article 542438. https://doi.org/10.3389/fevo.2020.542438 [details]
2024
- Bradarić, M., Kranstauber, B., Bouten, W. & Shamoun-Baranes, J. (26-3-2024). Data from: Forecasting nocturnal bird migration for dynamic aeroconservation: the value of short-term dataset. DRYAD. https://doi.org/10.5061/dryad.8gtht76x0
2023
- van Erp, J. A., De Groeve, J., van Loon, E., Shamoun-Baranes, J. & Bradarić, M. (23-10-2023). Data and script for "A framework for post-processing bird tracks from automated tracking radar systems". Universiteit van Amsterdam. https://doi.org/10.21942/uva.22567918.v1
2020
- Krijgsveld, K. L., Shamoun-Baranes, J., Fijn, R., Bouten, W. & Bradarić, M. (2020). Winds at departure shape seasonal patterns of nocturnal bird migration over the North Sea. DRYAD. https://doi.org/10.5061/dryad.0rxwdbrxb
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Ancillary activities
No ancillary activities
van Erp, J. A., van Loon, E. E., De Groeve, J., Bradarić, M., & Shamoun-Baranes, J. (2024). A framework for post-processing bird tracks from automated tracking radar systems. Methods in Ecology and Evolution, 15(1), 130-143.