Novel estimates of bird migration traffic at the continental US scale using participatory science data
NSF| Collaborative Research: BirdFlow: Learning Bird Population Flows from Citizen Science Data ,
NSF| Collaborative Research: BirdFlow: Learning Bird Population Flows from Citizen Science Data
Plunkett, Ethan; Deng, Yuting; Slager, David; Fuentes, Miguel; Chen, Yangkang; Van Doren, Benjamin; Dokter, Adriaan; +1 Authors
Plunkett, Ethan; Deng, Yuting; Slager, David; Fuentes, Miguel; Chen, Yangkang; Van Doren, Benjamin; Dokter, Adriaan; Sheldon, Daniel;
Novel estimates of bird migration traffic at the continental US scale using participatory science data
Data and code supporting an article submission: "Novel estimates of bird migration traffic at the continental US scale using participatory science data" We introduce BirdFlow migration traffic rate (BMTR), a location-based metric of migratory passage for individual species computed from BirdFlow models. BMTR quantifies the weekly proportion of a species’ population passing over a transect, can be calculated across a species’ entire range, and can be converted to absolute numbers using population estimates.
- Cornell Lab of Ornithology United States
- University of Massachusetts Amherst United States
- Cornell University United States
- University of Illinois at Urbana Champaign United States
Citizen Science, Weather Surveilllance Radar, Migratory Birds, eBird, Migration Traffic
Citizen Science, Weather Surveilllance Radar, Migratory Birds, eBird, Migration Traffic
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These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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