@bart_kra profile picture
Bart Kranstauber @bart_kra

Animal movement researcher @IBED_UvA

Joined March 2021
  • Tweets 20
  • Following 42
  • Followers 69
8 Photos and videos
Bart Kranstauber retweeted
Bart Hoekstra (@barthoekstra.bsky.social)@barthoekstra
10 Oct 2024
It's a special day when the newspaper you grew up with translates your latest research into a beautiful interactive. “Trekvogels moeten steeds vaker laveren tussen de maaiwieken van windturbines” in @nrc nrc.nl/nieuws/2024/10/10/tre… @IBED_UvA @UvA_Amsterdam
Screenshot of the header image of the NRC article, showing wind turbines and birds flying through them.

ALT Screenshot of the header image of the NRC article, showing wind turbines and birds flying through them.

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Bart Kranstauber retweeted
Fiona Lippert@LippertFiona
1 Aug 2024
Had a great time presenting our latest paper on hybrid modeling of broad-front bird migration at the @AI_for_Science workshop at #ICML24 We can now make detailed and interpretable forecasts of departure, flight, and landing at the continental scale! 📰➡️ openreview.net/pdf?id=oAmxqO…
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Need to analyze animal tracking data in R? Just out, our (@AnneKScharf & @safilabmpi ) paper in @MethodsEcolEvol describing the R package move2 (bartk.gitlab.io/move2/) for analyzing movement data, including reading data directly from @MovebankTeam. doi.org/10.1111/2041-210X.14…

ALT Animation of the movements of Galapagos Albatrosses made with move2 (https://bartk.gitlab.io/move2/articles/albatross.html)

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Bart Kranstauber retweeted
Bart Hoekstra (@barthoekstra.bsky.social)@barthoekstra
3 Jul 2024
📢Nieuw rapport & open dataset: Vogeltrek in kaart gebracht met weer- & vogelradars📡🐦‍⬛🐦 In opdracht van @AmsterdamNL, @GemDiemen en @ProvincieNH hebben we @IBED_UvA @UvA_Amsterdam vogeltrek in Noord-Holland onderzocht, om te kunnen helpen bij vraagstukken rondom windenergie.
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Bart Kranstauber retweeted
Maja Bradarić@bradaric_maja
31 May 2024
Delving into the applied side of our #NorthSea nocturnal #bird migration forecasts, I write about the model development and on-demand #offshore #wind turbine curtailment protocol in my latest blog post for The Applied Ecologist. #BirdMigration #Conservation
Journal of Applied Ecology@JAppliedEcology
30 May 2024
A safe passage: Protecting migratory birds in the North Sea 🐦 Details how researchers developed seasonal forecasts of bird migration and how this may be used to define curtailment thresholds for offshore wind energy 📊 @Rijkswaterstaat 🔗 appliedecologistsblog.com/20…
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Bart Kranstauber retweeted
Maja Bradarić@bradaric_maja
24 Apr 2024
In our latest paper, @bart_kra, Willem Bouten, @BaranesJudy, & I describe the forecast model used for the "international first" curtailment of #OffshoreWind turbines and advocate for dynamic #aeroconservation. 🌍 Read more: doi.org/10.1111/1365-2664.14…

Forecasting nocturnal bird migration for dynamic aeroconservation: The value of short‐term datasets

Near-term forecasts of migration fluxes evaluated against measurements can be used to define curtailment thresholds for offshore wind energy. We show that to minimize collision risk for 50% of...

besjournals.onlinelibrary.wiley.com
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Bart Kranstauber retweeted
UvA Amsterdam@UvA_Amsterdam
11 Dec 2023
🐦🧨Tot een afstand van 10 kilometer hebben #vogels last van het massaal afsteken van #vuurwerk zoals tijdens #oudennieuw. Nieuwe studie legt effect op vogels in heel NL bloot @IBED_UvA @Sovon @barthoekstra ⬇️ go.uva.nl/48dJnaw
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Bart Kranstauber retweeted
Judy Shamoun-Baranes@BaranesJudy
13 May 2023
1/3 It's #WorldMigratoryBirdDay! Did you know that #radar is a great tool to study bird migration & many birds migrate @ night? On 22-23 April @IBED_UvA we observed mass migration on weather & bird radars in NL @globam_net @NWONieuws @BiodiversaPlus @KNMI @EuropaBon_H2020

ALT Nocturnal migration of birds during spring measured by KNMI's weather radar. Reflectivity is corrected for range bias. Just after reflectivity increases (green - orange) representing birds. Bright pink is precipitation or static objects with high reflectivity. https://www.mdpi.com/2072-4292/12/4/635

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Congratulations @LippertFiona ! Really exciting the paper is now out!
Fiona Lippert@LippertFiona
27 Oct 2022
Excited to announce that our paper "Learning to predict spatiotemporal movement dynamics from weather radar networks" is available @MethodsEcolEvol! We use #DeepLearning to generate comprehensive bird migration forecasts. #AI4science #radar #aeroecology doi.org/10.1111/2041-210X.14…
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Bart Kranstauber retweeted
Hans van Gasteren@hvangasteren
13 Jul 2022
Our paper to better forecast bird migration extracted from weathers as part of our warning system for the Air Force, @Kon_Luchtmacht, @IBED_UvA, @globam_net, @KNMI
Applied Ecol. Resources|Ecol. Solutions & Evidence@AER_ESE_BES
13 Jul 2022
📰Published📰 #Weather conditions and the accumulation of birds contribute most to accurate predictions of #bird migration intensity – important for conservation and #flight safety Read the full research by @bart_kra, Bouten, @hvangasteren & @BaranesJudy: besjournals.onlinelibrary.wi…
Graph showing ensemble predictions of bird migration to prevent bird-aircraft collisions

ALT Graph showing ensemble predictions of bird migration to prevent bird-aircraft collisions
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Bart Kranstauber retweeted
Adriaan Dokter@AdriaanDokter
9 May 2022
New release of our #rstats package on CRAN! 📡📡🐦🐦🐛New functions, features and bugfixes adokter.github.io/bioRad/new… #radar #ornithology #entomology
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1/6 #BOUsci21 #SESH3 Weather radars are used to monitor the nocturnal migration of birds across continents. We use the data to develop predictive models for bird migration to reduce the risk of bird-strikes (bird-aircraft collisions).
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5/6 #BOUsci21 #SESH3 Using a spatially explicit approach we want to investigate how habitat features influence bird movement. Here the abundance of birds increases when rain (black) ceases and wind directions changes doi.org/10.3390/rs12040635.
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Now also with video
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6/6 #BOUsci21 #SESH3 Thanks to Royal Netherlands Air Force & @globam_net for support and coauthors Willem Bouten @hvangasteren & @BaranesJudy
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