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Movement ecology of migration in turkey vultures

J. T. Mandel, K. L. Bildstein, G. Bohrer, and D. W. Winkler
PNAS December 9, 2008 105 (49) 19102-19107; https://doi.org/10.1073/pnas.0801789105
J. T. Mandel
aDepartment of Ecology and Evolutionary Biology, Corson Hall, Cornell University, Ithaca, NY 14853; bAcopian Center for Conservation Learning, Hawk Mountain Sanctuary, 410 Summer Valley Road, Orwigsburg, PA 17961; and
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K. L. Bildstein
bAcopian Center for Conservation Learning, Hawk Mountain Sanctuary, 410 Summer Valley Road, Orwigsburg, PA 17961; and
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G. Bohrer
cDepartment of Civil and Environmental Engineering and Geodetic Science, Ohio State University, Columbus, OH 43210
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D. W. Winkler
aDepartment of Ecology and Evolutionary Biology, Corson Hall, Cornell University, Ithaca, NY 14853;
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  1. Edited by Ran Nathan, The Hebrew University of Jerusalem, Jerusalem, Israel, and accepted by the Editorial Board August 25, 2008 (received for review February 26, 2008)

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Abstract

We develop individual-based movement ecology models (MEM) to explore turkey vulture (Cathartes aura) migration decisions at both hourly and daily scales. Vulture movements in 10 migration events were recorded with satellite-reporting GPS sensors, and flight behavior was observed visually, aided by on-the-ground VHF radio-tracking. We used the North American Regional Reanalysis dataset to obtain values for wind speed, turbulent kinetic energy (TKE), and cloud height and used a digital elevation model for a measure of terrain ruggedness. A turkey vulture fitted with a heart-rate logger during 124 h of flight during 38 contiguous days showed only a small increase in mean heart rate as distance traveled per day increased, which suggests that, unlike flapping, soaring flight does not lead to greatly increased metabolic costs. Data from 10 migrations for 724 hourly segments and 152 daily segments showed that vultures depended heavily upon high levels of TKE in the atmospheric boundary layer to increase flight distances and maintain preferred bearings at both hourly and daily scales. We suggest how the MEM can be extended to other spatial and temporal scales of avian migration. Our success in relating model-derived atmospheric variables to migration indicates the potential of using regional reanalysis data, as here, and potentially other regional, higher-resolution, atmospheric models in predicting changing movement patterns of soaring birds under various scenarios of climate and land use change.

  • energetics
  • flight
  • meteorology

Footnotes

  • ↵1To whom correspondence should be addressed. E-mail: jtm39{at}cornell.edu
  • Author contributions: J.T.M., K.L.B., G.B., and D.W.W. designed research; J.T.M., G.B., and D.W.W. performed research; J.T.M. and G.B. contributed new reagents/analytic tools; J.T.M. and G.B. analyzed data; and J.T.M., K.L.B., G.B., and D.W.W. wrote the paper.

  • The authors declare no conflict of interest.

  • This article is a PNAS Direct Submission. R.N. is a guest editor invited by the Editorial Board.

  • This article contains supporting information online at www.pnas.org/cgi/content/full/0801789105/DCSupplemental.

  • Received February 26, 2008.
  • © 2008 by The National Academy of Sciences of the USA
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Movement ecology of migration in turkey vultures
J. T. Mandel, K. L. Bildstein, G. Bohrer, D. W. Winkler
Proceedings of the National Academy of Sciences Dec 2008, 105 (49) 19102-19107; DOI: 10.1073/pnas.0801789105

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Movement ecology of migration in turkey vultures
J. T. Mandel, K. L. Bildstein, G. Bohrer, D. W. Winkler
Proceedings of the National Academy of Sciences Dec 2008, 105 (49) 19102-19107; DOI: 10.1073/pnas.0801789105
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