Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

Environmentally-driven dynamic parameters in mechanistic movement models reveal complex migratory pacing in a soaring bird

View ORCID ProfileJoseph M. Eisaguirre, View ORCID ProfileMarie Auger-Méthé, Christopher P. Barger, Stephen B. Lewis, Travis L. Booms, View ORCID ProfileGreg A. Breed
doi: https://doi.org/10.1101/465427
Joseph M. Eisaguirre
aDepartment of Biology & Wildlife, University of Alaska Fairbanks, Fairbanks, AK, USA
bDepartment of Mathematics & Statistics, University of Alaska Fairbanks, Fairbanks, AK, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Joseph M. Eisaguirre
  • For correspondence: jmeisaguirre@alaska.edu
Marie Auger-Méthé
cDepartment of Statistics, University of British Columbia, Vancouver, BC, Canada
dInstitute for the Oceans & Fisheries, University of British Columbia, Vancouver, BC, Canada
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Marie Auger-Méthé
Christopher P. Barger
eAlaska Department of Fish & Game, Fairbanks, AK, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Stephen B. Lewis
fUnited States Fish & Wildlife Service, Juneau, AK, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Travis L. Booms
eAlaska Department of Fish & Game, Fairbanks, AK, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Greg A. Breed
aDepartment of Biology & Wildlife, University of Alaska Fairbanks, Fairbanks, AK, USA
gInstitute of Arctic Biology, University of Alaska Fairbanks, Fairbanks, AK, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Greg A. Breed
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Supplementary material
  • Preview PDF
Loading

Abstract

Long distance migration can increase lifetime fitness, but can be costly, incurring increased energetic expenses and higher mortality risks. Stopover and other en route behaviors allow animals to rest and replenish energy stores and avoid or mitigate other hazards during migration. Some animals, such as soaring birds, can subsidize the energetic costs of migration by extracting energy from flowing air. However, it is unclear how these energy sources affect or interact with behavioral processes and stopover in long-distance soaring migrants. To understand these behaviors and the effects of processes that might enhance use of flight subsidies, we developed a flexible mechanistic model to predict how flight subsidies drive migrant behavior and movement processes. The novel modelling framework incorporated time-varying parameters informed by environmental covariates to characterize a continuous range of behaviors during migration. This model framework was fit to GPS satellite telemetry data collected from a large soaring and opportunist foraging bird, the golden eagle (Aquila chrysaetos), during migration in western North America. Fitted dynamic model parameters revealed a clear circadian rhythm in eagle movement and behavior, which was directly related to thermal uplift. Behavioral budgets were complex, however, with evidence for a joint migrating/foraging behavior, resembling a slower paced fly-and-forage migration, which could facilitate efficient refueling while still ensuring migration progress. In previous work, ecological and foraging conditions are normally considered to be the key aspects of stopover location quality, but taxa that can tap energy sources from moving fluids to drive migratory locomotion, such as the golden eagle, may pace migration based on both foraging opportunities and available flight subsidies.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.
Back to top
PreviousNext
Posted March 07, 2019.
Download PDF

Supplementary Material

Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
Environmentally-driven dynamic parameters in mechanistic movement models reveal complex migratory pacing in a soaring bird
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
Environmentally-driven dynamic parameters in mechanistic movement models reveal complex migratory pacing in a soaring bird
Joseph M. Eisaguirre, Marie Auger-Méthé, Christopher P. Barger, Stephen B. Lewis, Travis L. Booms, Greg A. Breed
bioRxiv 465427; doi: https://doi.org/10.1101/465427
Reddit logo Twitter logo Facebook logo LinkedIn logo Mendeley logo
Citation Tools
Environmentally-driven dynamic parameters in mechanistic movement models reveal complex migratory pacing in a soaring bird
Joseph M. Eisaguirre, Marie Auger-Méthé, Christopher P. Barger, Stephen B. Lewis, Travis L. Booms, Greg A. Breed
bioRxiv 465427; doi: https://doi.org/10.1101/465427

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Ecology
Subject Areas
All Articles
  • Animal Behavior and Cognition (4397)
  • Biochemistry (9630)
  • Bioengineering (7123)
  • Bioinformatics (24939)
  • Biophysics (12670)
  • Cancer Biology (9995)
  • Cell Biology (14404)
  • Clinical Trials (138)
  • Developmental Biology (7989)
  • Ecology (12147)
  • Epidemiology (2067)
  • Evolutionary Biology (16025)
  • Genetics (10951)
  • Genomics (14778)
  • Immunology (9906)
  • Microbiology (23739)
  • Molecular Biology (9506)
  • Neuroscience (51051)
  • Paleontology (370)
  • Pathology (1545)
  • Pharmacology and Toxicology (2692)
  • Physiology (4038)
  • Plant Biology (8693)
  • Scientific Communication and Education (1512)
  • Synthetic Biology (2404)
  • Systems Biology (6459)
  • Zoology (1350)