4.6 Article

Quantifying year-round nocturnal bird migration with a fluid dynamics model

期刊

出版社

ROYAL SOC
DOI: 10.1098/rsif.2021.0194

关键词

biomass flow; weather radar; migration ecology; ornithology; interactive visualization; ecological modelling

资金

  1. 2017-2018 Belmont Forum and BiodivERsA joint call for research proposals, under the BiodivScen ERA-Net COFUND programme
  2. Swiss National Science Foundation [SNF 31BD30_184120]
  3. Belgian Federal Science Policy Office [BelSPO BR/185/A1/GloBAM-BE]
  4. Academy of Finland [aka 326315]
  5. National Science Foundation [NSF 1927743]
  6. Netherlands Organisation for Scientific Research [NWO E10008]
  7. Swiss National Science Foundation (SNF) [31BD30_184120] Funding Source: Swiss National Science Foundation (SNF)

向作者/读者索取更多资源

By applying a flow model to bird density and velocity maps, researchers quantified the migration of birds between nights and tracked the seasonal flow of birds across Western Europe. The study revealed multiple migration waves crossing the study area in a short period, with up to 188 million birds taking off in a single night. Furthermore, the research emphasized the importance of combining interdisciplinary data and methods in elucidating avian migration dynamics.
To understand the influence of biomass flows on ecosystems, we need to characterize and quantify migrations at various spatial and temporal scales. Representing the movements of migrating birds as a fluid, we applied a flow model to bird density and velocity maps retrieved from the European weather radar network, covering almost a year. We quantified how many birds take-off, fly, and land across Western Europe to (1) track bird migration waves between nights, (2) cumulate the number of birds on the ground and (3) quantify the seasonal flow into and out of the study area through several regional transects. Our results identified several migration waves that crossed the study area in 4 days only and included up to 188 million (M) birds that took-off in a single night. In spring, we estimated that 494 M birds entered the study area, 251 M left it, and 243 M birds remained within the study area. In autumn, 314 M birds entered the study area while 858 M left it. In addition to identifying fundamental quantities, our study highlights the potential of combining interdisciplinary data and methods to elucidate the dynamics of avian migration from nightly to yearly time scales and from regional to continental spatial scales.

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