Literature DB >> 21228200

Poor flight performance in deep-diving cormorants.

Yuuki Y Watanabe1, Akinori Takahashi, Katsufumi Sato, Morgane Viviant, Charles-André Bost.   

Abstract

Aerial flight and breath-hold diving present conflicting morphological and physiological demands, and hence diving seabirds capable of flight are expected to face evolutionary trade-offs regarding locomotory performances. We tested whether Kerguelen shags Phalacrocorax verrucosus, which are remarkable divers, have poor flight capability using newly developed tags that recorded their flight air speed (the first direct measurement for wild birds) with propeller sensors, flight duration, GPS position and depth during foraging trips. Flight air speed (mean 12.7 m s(-1)) was close to the speed that minimizes power requirement, rather than energy expenditure per distance, when existing aerodynamic models were applied. Flights were short (mean 92 s), with a mean summed duration of only 24 min day(-1). Shags sometimes stayed at the sea surface without diving between flights, even on the way back to the colony, and surface durations increased with the preceding flight durations; these observations suggest that shags rested after flights. Our results indicate that their flight performance is physiologically limited, presumably compromised by their great diving capability (max. depth 94 m, duration 306 s) through their morphological adaptations for diving, including large body mass (enabling a large oxygen store), small flight muscles (to allow for large leg muscles for underwater propulsion) and short wings (to decrease air volume in the feathers and hence buoyancy). The compromise between flight and diving, as well as the local bathymetry, shape the three-dimensional foraging range (<26 km horizontally, <94 m vertically) in this bottom-feeding cormorant.

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Year:  2011        PMID: 21228200     DOI: 10.1242/jeb.050161

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


  9 in total

1.  Great cormorants (Phalacrocorax carbo) can detect auditory cues while diving.

Authors:  Kirstin Anderson Hansen; Alyssa Maxwell; Ursula Siebert; Ole Næsbye Larsen; Magnus Wahlberg
Journal:  Naturwissenschaften       Date:  2017-05-05

Review 2.  Using tri-axial acceleration data to identify behavioral modes of free-ranging animals: general concepts and tools illustrated for griffon vultures.

Authors:  Ran Nathan; Orr Spiegel; Scott Fortmann-Roe; Roi Harel; Martin Wikelski; Wayne M Getz
Journal:  J Exp Biol       Date:  2012-03-15       Impact factor: 3.312

3.  How often should dead-reckoned animal movement paths be corrected for drift?

Authors:  Richard M Gunner; Mark D Holton; David M Scantlebury; Phil Hopkins; Emily L C Shepard; Adam J Fell; Baptiste Garde; Flavio Quintana; Agustina Gómez-Laich; Ken Yoda; Takashi Yamamoto; Holly English; Sam Ferreira; Danny Govender; Pauli Viljoen; Angela Bruns; O Louis van Schalkwyk; Nik C Cole; Vikash Tatayah; Luca Börger; James Redcliffe; Stephen H Bell; Nikki J Marks; Nigel C Bennett; Mariano H Tonini; Hannah J Williams; Carlos M Duarte; Martin C van Rooyen; Mads F Bertelsen; Craig J Tambling; Rory P Wilson
Journal:  Anim Biotelemetry       Date:  2021-10-16

4.  Combined bio-logging and stable isotopes reveal individual specialisations in a benthic coastal seabird, the Kerguelen shag.

Authors:  Elodie C M Camprasse; Yves Cherel; John P Y Arnould; Andrew J Hoskins; Charles-André Bost
Journal:  PLoS One       Date:  2017-03-06       Impact factor: 3.240

5.  The energetic cost of parasitism in a wild population.

Authors:  Olivia Hicks; Sarah J Burthe; Francis Daunt; Mark Newell; Adam Butler; Motohiro Ito; Katsufumi Sato; Jonathan A Green
Journal:  Proc Biol Sci       Date:  2018-05-30       Impact factor: 5.349

6.  A genetic signature of the evolution of loss of flight in the Galapagos cormorant.

Authors:  Alejandro Burga; Weiguang Wang; Eyal Ben-David; Paul C Wolf; Andrew M Ramey; Claudio Verdugo; Karen Lyons; Patricia G Parker; Leonid Kruglyak
Journal:  Science       Date:  2017-06-02       Impact factor: 47.728

7.  Wide range of mercury contamination in chicks of southern ocean seabirds.

Authors:  Pierre Blévin; Alice Carravieri; Audrey Jaeger; Olivier Chastel; Paco Bustamante; Yves Cherel
Journal:  PLoS One       Date:  2013-01-17       Impact factor: 3.240

8.  Factors affecting the foraging behaviour of the European shag: implications for seabird tracking studies.

Authors:  L M Soanes; J P Y Arnould; S G Dodd; G Milligan; J A Green
Journal:  Mar Biol       Date:  2014-04-03       Impact factor: 2.573

9.  Machine learning accurately predicts the multivariate performance phenotype from morphology in lizards.

Authors:  Simon P Lailvaux; Avdesh Mishra; Pooja Pun; Md Wasi Ul Kabir; Robbie S Wilson; Anthony Herrel; Md Tamjidul Hoque
Journal:  PLoS One       Date:  2022-01-21       Impact factor: 3.240

  9 in total

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