Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/63276

TítuloInnovative visualizations shed light on avian nocturnal migration
Autor(es)Shamoun-Baranes, Judy
Farnsworth, Andrew
Aelterman, Bart
Alves, Jose A.
Azijn, Kevin
Bernstein, Garrett
Branco, Sérgio
Desmet, Peter
Dokter, Adriaan M.
Horton, Kyle
Kelling, Steve
Kelly, Jeffrey F.
Leijnse, Hidde
Rong, Jingjing
Sheldon, Daniel
Van den Broeck, Wouter
Van Den Meersche, Jan Klaas
Van Doren, Benjamin Mark
van Gasteren, Hans
Data2016
EditoraPublic Library of Science (PLOS)
RevistaPLoS ONE
CitaçãoShamoun-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. https://doi.org/10.1371/journal.pone.0160106
Resumo(s)Globally, 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.
TipoArtigo
DescriçãoAll data and metadata for this European case study are deposited on GitHub (https://github.com/enram/case-study) and Zenodo (http://doi.org/10.5281/zenodo.57265), where it is released under a Creative Commons Zero waiver. The repository also includes code to process the data and a basemap for visualizations.
URIhttps://hdl.handle.net/1822/63276
DOI10.1371/journal.pone.0160106
ISSN1932-6203
Versão da editorahttps://journals.plos.org/plosone/article/authors?id=10.1371/journal.pone.0160106
Arbitragem científicayes
AcessoAcesso aberto
Aparece nas coleções:DEI - Artigos em revistas internacionais

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