Literature DB >> 24172888

Experimental verification of dynamic soaring in albatrosses.

G Sachs1, J Traugott, A P Nesterova, F Bonadonna.   

Abstract

Dynamic soaring is a small-scale flight manoeuvre which is the basis for the extreme flight performance of albatrosses and other large seabirds to travel huge distances in sustained non-flapping flight. As experimental data with sufficient resolution of these small-scale movements are not available, knowledge is lacking about dynamic soaring and the physical mechanism of the energy gain of the bird from the wind. With new in-house developments of GPS logging units for recording raw phase observations and of a dedicated mathematical method for postprocessing these measurements, it was possible to determine the small-scale flight manoeuvre with the required high precision. Experimental results from tracking 16 wandering albatrosses (Diomedea exulans) in the southern Indian Ocean show the characteristic pattern of dynamic soaring. This pattern consists of four flight phases comprising a windward climb, an upper curve, a leeward descent and a lower curve, which are continually repeated. It is shown that the primary energy gain from the shear wind is attained in the upper curve where the bird changes the flight direction from windward to leeward. As a result, the upper curve is the characteristic flight phase of dynamic soaring for achieving the energy gain necessary for sustained non-flapping flight.

Entities:  

Keywords:  GPS logger; energy gain from wind; non-flapping flight; shear wind

Mesh:

Year:  2013        PMID: 24172888     DOI: 10.1242/jeb.085209

Source DB:  PubMed          Journal:  J Exp Biol        ISSN: 0022-0949            Impact factor:   3.312


  12 in total

1.  Flight paths of seabirds soaring over the ocean surface enable measurement of fine-scale wind speed and direction.

Authors:  Yoshinari Yonehara; Yusuke Goto; Ken Yoda; Yutaka Watanuki; Lindsay C Young; Henri Weimerskirch; Charles-André Bost; Katsufumi Sato
Journal:  Proc Natl Acad Sci U S A       Date:  2016-07-25       Impact factor: 11.205

2.  Optimal dynamic soaring consists of successive shallow arcs.

Authors:  Gabriel D Bousquet; Michael S Triantafyllou; Jean-Jacques E Slotine
Journal:  J R Soc Interface       Date:  2017-10       Impact factor: 4.118

3.  Remotely sensed wind speed predicts soaring behaviour in a wide-ranging pelagic seabird.

Authors:  Rory Gibb; Akiko Shoji; Annette L Fayet; Chris M Perrins; Tim Guilford; Robin Freeman
Journal:  J R Soc Interface       Date:  2017-07       Impact factor: 4.118

4.  Flap or soar? How a flight generalist responds to its aerial environment.

Authors:  Judy Shamoun-Baranes; Willem Bouten; E Emiel van Loon; Christiaan Meijer; C J Camphuysen
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2016-09-26       Impact factor: 6.237

5.  Atmospheric conditions create freeways, detours and tailbacks for migrating birds.

Authors:  Judy Shamoun-Baranes; Felix Liechti; Wouter M G Vansteelant
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2017-05-15       Impact factor: 1.836

6.  Wave-slope soaring of the brown pelican.

Authors:  Ian A Stokes; Andrew J Lucas
Journal:  Mov Ecol       Date:  2021-03-22       Impact factor: 3.600

7.  Exploring the Relationship between Skeletal Mass and Total Body Mass in Birds.

Authors:  Elizabeth Martin-Silverstone; Orsolya Vincze; Ria McCann; Carl H W Jonsson; Colin Palmer; Gary Kaiser; Gareth Dyke
Journal:  PLoS One       Date:  2015-10-28       Impact factor: 3.240

8.  Soaring energetics and glide performance in a moving atmosphere.

Authors:  Graham K Taylor; Kate V Reynolds; Adrian L R Thomas
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2016-09-26       Impact factor: 6.237

9.  Flight speed and performance of the wandering albatross with respect to wind.

Authors:  Philip L Richardson; Ewan D Wakefield; Richard A Phillips
Journal:  Mov Ecol       Date:  2018-03-07       Impact factor: 3.600

10.  Hidden Markov models identify major movement modes in accelerometer and magnetometer data from four albatross species.

Authors:  Melinda G Conners; Théo Michelot; Eleanor I Heywood; Rachael A Orben; Richard A Phillips; Alexei L Vyssotski; Scott A Shaffer; Lesley H Thorne
Journal:  Mov Ecol       Date:  2021-02-22       Impact factor: 3.600

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