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dc.contributor.authorJudy Shamoun-Baranes
dc.contributor.authorAndrew Farnsworth
dc.contributor.authorBart Aelterman
dc.contributor.authorJose A. Alves
dc.contributor.authorKevin Azijn
dc.contributor.authorGarrett Bernstein
dc.contributor.authorSérgio Branco
dc.contributor.authorPeter Desmet
dc.contributor.authorAdriaan M. Dokter
dc.contributor.authorKyle Horton
dc.contributor.authorSteve Kelling
dc.contributor.authorJeffrey F. Kelly
dc.contributor.authorHidde Leijnse
dc.contributor.authorJingjing Rong
dc.contributor.authorDaniel Sheldon
dc.contributor.authorWouter Van den Broeck
dc.contributor.authorJan Klaas Van Den Meersche
dc.contributor.authorBenjamin Mark Van Doren
dc.contributor.authorHans van Gasteren
dc.date.accessioned2017-03-05T23:40:56Z
dc.date.available2017-03-05T23:40:56Z
dc.date.issued2016-08-24
dc.identifier.citationShamoun-Baranes J, Farnsworth A, Aelterman B, Alves JA, Azijn K, Bernstein G, et al. (2016) Innovative Visualizations Shed Light on Avian Nocturnal Migration. PLoS ONE 11(8): e0160106. doi:10.1371/journal.pone.0160106en_US
dc.identifier.urihttps://hdl.handle.net/11244/49292
dc.descriptionWe acknowledge the support provided by COST–European Cooperation in Science and Technology through the Action ES1305 ‘European Network for the Radar Surveillance of Animal Movement’ (ENRAM) in facilitating this collaboration. We thank ENRAM members and researchers attending the EOU round table discussion ‘Radar aeroecology: unravelling population scale patterns of avian movement’ for feedback on the visualizations. We thank Arie Dekker for his feedback as jury member of the bird migration visualization challenge & hackathon hosted at the University of Amsterdam, 25–27 March 2015. We thank Willem Bouten and Kevin Winner for discussion of methodological design. We thank Kevin Webb and Jed Irvine for assistance with downloading, managing, and reviewing US radar data. We thank the Royal Meteorological Institute of Belgium for providing weather radar data.en_US
dc.descriptionen_US
dc.description.abstractGlobally, billions of flying animals undergo seasonal migrations, many of which occur at night. The temporal and spatial scales at which migrations occur and our inability to directly observe these nocturnal movements makes monitoring and characterizing this critical period in migratory animals’ life cycles difficult. Remote sensing, therefore, has played an important role in our understanding of large-scale nocturnal bird migrations. Weather surveillance radar networks in Europe and North America have great potential for long-term low-cost monitoring of bird migration at scales that have previously been impossible to achieve. Such long-term monitoring, however, poses a number of challenges for the ornithological and ecological communities: how does one take advantage of this vast data resource, integrate information across multiple sensors and large spatial and temporal scales, and visually represent the data for interpretation and dissemination, considering the dynamic nature of migration? We assembled an interdisciplinary team of ecologists, meteorologists, computer scientists, and graphic designers to develop two different flow visualizations, which are interactive and open source, in order to create novel representations of broad-front nocturnal bird migration to address a primary impediment to long-term, large-scale nocturnal migration monitoring. We have applied these visualization techniques to mass bird migration events recorded by two different weather surveillance radar networks covering regions in Europe and North America. These applications show the flexibility and portability of such an approach. The visualizations provide an intuitive representation of the scale and dynamics of these complex systems, are easily accessible for a broad interest group, and are biologically insightful. Additionally, they facilitate fundamental ecological research, conservation, mitigation of human–wildlife conflicts, improvement of meteorological products, and public outreach, education, and engagement.en_US
dc.language.isoen_USen_US
dc.publisherPLos One
dc.relation.ispartofseriesPLoS ONE 11(8): e0160106
dc.relation.urihttp://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0160106
dc.rightsAttribution 3.0 United States
dc.rights.urihttps://creativecommons.org/licenses/by/3.0/us/
dc.subjectAnimal migration,Radar,Data visualization,Bird flight,Data processing,Birds,Flight (biology),Weatheren_US
dc.titleInnovative Visualizations Shed Light on Avian Nocturnal Migrationen_US
dc.typeResearch Articleen_US
dc.description.peerreviewYesen_US
dc.description.peerreviewnoteshttp://www.plosone.org/static/editorial#peeren_US
dc.identifier.doi10.1371/journal.pone.0160106en_US
dc.rights.requestablefalseen_US


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Attribution 3.0 United States
Except where otherwise noted, this item's license is described as Attribution 3.0 United States