Literature DB >> 11171350

A new technique for monitoring the behaviour of free-ranging Adélie penguins.

K Yoda1, Y Naito, K Sato, A Takahashi, J Nishikawa, Y Ropert-Coudert, M Kurita, Y Le Maho.   

Abstract

Measurement of the time allocation of penguins at sea has been a major goal of researchers in recent years. Until now, however, no equipment has been available that would allow measurement of the aquatic and terrestrial behaviour of an Antarctic penguin while it is commuting between the colony and the foraging grounds. A new motion detector, based on the measurement of acceleration, has been used here in addition to current methods of inferring behaviour using data loggers that monitor depth and speed. We present data on the time allocation of Adélie penguins (Pygoscelis adeliae) according to the different types of behaviours they display during their foraging trips: walking, tobogganing, standing on land, lying on land, resting at the water surface, porpoising and diving. To illustrate the potential of this new technique, we compared the behaviour of Adélie penguins during the chick-rearing period in a fast sea-ice region and an ice-free region. The proportion of time spent standing, lying on land and walking during foraging trips was greater for penguins in the sea-ice region (37.6+/-13.3% standing, 21.6+/-15.6% lying and 5.9+/-6.3% walking) than for those in the ice-free region (12.0+/-15.8 % standing, 0.38+/-0.60% lying and 0 % walking), whereas the proportion of time spent resting at the water surface and porpoising was greater for birds in the ice-free region (38.1+/-6.4% resting and 1.1+/-1.1% porpoising) than for those in the sea-ice region (3.0+/-2.3% resting and 0% porpoising; means +/- s.d., N=7 for the sea-ice region, N=4 for the ice-free region). Using this new approach, further studies combining the monitoring of marine resources in different Antarctic sites and the measurement of the energy expenditure of foraging penguins, e.g. using heart rates, will constitute a powerful tool for investigating the effects of environmental conditions on their foraging strategy. This technique will expand our ability to monitor many animals in the field.

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Year:  2001        PMID: 11171350     DOI: 10.1242/jeb.204.4.685

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


  36 in total

1.  Investigating neural correlates of behavior in freely behaving rodents using inertial sensors.

Authors:  Subramaniam Venkatraman; Xin Jin; Rui M Costa; Jose M Carmena
Journal:  J Neurophysiol       Date:  2010-04-28       Impact factor: 2.714

2.  Optimizing the use of biologgers for movement ecology research.

Authors:  Hannah J Williams; Lucy A Taylor; Simon Benhamou; Allert I Bijleveld; Thomas A Clay; Sophie de Grissac; Urška Demšar; Holly M English; Novella Franconi; Agustina Gómez-Laich; Rachael C Griffiths; William P Kay; Juan Manuel Morales; Jonathan R Potts; Katharine F Rogerson; Christian Rutz; Anouk Spelt; Alice M Trevail; Rory P Wilson; Luca Börger
Journal:  J Anim Ecol       Date:  2019-10-01       Impact factor: 5.091

3.  A versatile telemetry system for continuous measurement of heart rate, body temperature and locomotor activity in free-ranging ruminants.

Authors:  Claudio Signer; Thomas Ruf; Franz Schober; Gerhard Fluch; Thomas Paumann; Walter Arnold
Journal:  Methods Ecol Evol       Date:  2010-03       Impact factor: 7.781

4.  Accelerometry predicts daily energy expenditure in a bird with high activity levels.

Authors:  Kyle H Elliott; Maryline Le Vaillant; Akiko Kato; John R Speakman; Yan Ropert-Coudert
Journal:  Biol Lett       Date:  2012-12-19       Impact factor: 3.703

Review 5.  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

6.  Stroke and glide of wing-propelled divers: deep diving seabirds adjust surge frequency to buoyancy change with depth.

Authors:  Yutaka Watanuki; Yasuaki Niizuma; Geir Wing Gabrielsen; Katsufumi Sato; Yasuhiko Naito
Journal:  Proc Biol Sci       Date:  2003-03-07       Impact factor: 5.349

7.  Development of flight performance in the brown booby.

Authors:  Ken Yoda; Hiroyoshi Kohno; Yasuhiko Naito
Journal:  Proc Biol Sci       Date:  2004-05-07       Impact factor: 5.349

8.  Pushed for time or saving on fuel: fine-scale energy budgets shed light on currencies in a diving bird.

Authors:  Emily L C Shepard; Rory P Wilson; Flavio Quintana; Agustina Gómez Laich; Dan W Forman
Journal:  Proc Biol Sci       Date:  2009-06-10       Impact factor: 5.349

9.  Activity time budget during foraging trips of emperor penguins.

Authors:  Shinichi Watanabe; Katsufumi Sato; Paul J Ponganis
Journal:  PLoS One       Date:  2012-11-21       Impact factor: 3.240

10.  On higher ground: how well can dynamic body acceleration determine speed in variable terrain?

Authors:  Owen R Bidder; Lama A Qasem; Rory P Wilson
Journal:  PLoS One       Date:  2012-11-30       Impact factor: 3.240

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