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Effects of weather variation on waterfowl migration: lessons from a continental-scale generalizable avian movement and energetics model
  • Kevin Aagaard,
  • Eric Lonsdorf,
  • Wayne Thogmartin
Kevin Aagaard
Colorado Parks and Wildlife

Corresponding Author:[email protected]

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Eric Lonsdorf
University of Minnesota
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Wayne Thogmartin
US Geological Survey
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We developed a nonbreeding period continental-scale energetics-based model of daily waterfowl movement to predict year-specific migration and overwinter occurrence. The model approximates energy-expensive movements and energy-gaining stopovers as functions of metabolism and weather, in terms of temperature and frozen precipitation (i.e., snow). The model is a Markov process operating at the population level and is parameterized through a review of literature. We examined model performance against 62 years of non-breeding period daily weather data. The average proportion of available habitat decreased as weather severity increased, with mortality decreasing as the proportion of available habitat increased. The most commonly used nodes during the course of the nonbreeding period were generally consistent across years, with the most inter-annual variation present in the overwintering area. Our model revealed that the distribution of birds on the landscape changed more dramatically when the variation in daily available habitat was greater. The main routes for avian migration in North America were predicted by our simulations: the Eastern, Central, and Western flyways. Our model predicted an average of 77.4% survivorship for the nonbreeding period across all years (range = 76.4 – 78.4%), with lowest survivorship during the fall, intermediate survivorship in the winter, and greatest survivorship in the spring. We provide the parameters necessary for exploration within and among other taxa to leverage the generalizability of this migration model to a broader expanse of bird species, and across a range of climate change and land use/land cover change scenarios.
11 Mar 2021Submitted to Ecology and Evolution
13 Mar 2021Submission Checks Completed
13 Mar 2021Assigned to Editor
17 Mar 2021Reviewer(s) Assigned
04 May 2021Review(s) Completed, Editorial Evaluation Pending
13 May 2021Editorial Decision: Revise Minor
31 Aug 20211st Revision Received
06 Oct 2021Assigned to Editor
06 Oct 2021Submission Checks Completed
06 Oct 2021Review(s) Completed, Editorial Evaluation Pending
15 Oct 2021Editorial Decision: Revise Minor
18 Oct 20212nd Revision Received
19 Oct 2021Submission Checks Completed
19 Oct 2021Assigned to Editor
19 Oct 2021Review(s) Completed, Editorial Evaluation Pending
25 Oct 2021Editorial Decision: Accept
Feb 2022Published in Ecology and Evolution volume 12 issue 2. 10.1002/ece3.8617