Literature DB >> 21037067

Measuring foraging activity in a deep-diving bird: comparing wiggles, oesophageal temperatures and beak-opening angles as proxies of feeding.

Nicolas Hanuise1, Charles-André Bost, William Huin, Arnaud Auber, Lewis G Halsey, Yves Handrich.   

Abstract

Quantification of prey consumption by marine predators is key to understanding the organisation of ecosystems. This especially concerns penguins, which are major consumers of southern food webs. As direct observation of their feeding activity is not possible, several indirect methods have been developed that take advantage of miniaturised data logging technology, most commonly: detection of (i) anomalies in diving profiles (wiggles), (ii) drops in oesophageal temperature and (iii) the opening of mouth parts (recorded with a Hall sensor). In the present study, we used these three techniques to compare their validity and obtain information about the feeding activity of two free-ranging king penguins (Aptenodytes patagonicus). Crucially, and for the first time, two types of beak-opening events were identified. Type A was believed to correspond to failed prey-capture attempts and type B to successful attempts, because, in nearly all cases, only type B was followed by a drop in oesophageal temperature. The number of beak-opening events, oesophageal temperature drops and wiggles per dive were all correlated. However, for a given dive, the number of wiggles and oesophageal temperature drops were lower than the number of beak-opening events. Our results suggest that recording beak opening is a very accurate method for detecting prey ingestions by diving seabirds at a fine scale. However, these advantages are counterbalanced by the difficulty, and hence potential adverse effects, of instrumenting birds with the necessary sensor/magnet, which is in contrast to the less accurate but more practicable methods of measuring dive profiles or, to a lesser extent, oesophageal temperature.

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Year:  2010        PMID: 21037067     DOI: 10.1242/jeb.044057

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


  9 in total

1.  Linking animal-borne video to accelerometers reveals prey capture variability.

Authors:  Yuuki Y Watanabe; Akinori Takahashi
Journal:  Proc Natl Acad Sci U S A       Date:  2013-01-22       Impact factor: 11.205

2.  Similar circling movements observed across marine megafauna taxa.

Authors:  Tomoko Narazaki; Itsumi Nakamura; Kagari Aoki; Takashi Iwata; Kozue Shiomi; Paolo Luschi; Hiroyuki Suganuma; Carl G Meyer; Rui Matsumoto; Charles A Bost; Yves Handrich; Masao Amano; Ryosuke Okamoto; Kyoichi Mori; Stéphane Ciccione; Jérôme Bourjea; Katsufumi Sato
Journal:  iScience       Date:  2021-03-18

3.  Can we predict foraging success in a marine predator from dive patterns only? Validation with prey capture attempt data.

Authors:  Morgane Viviant; Pascal Monestiez; Christophe Guinet
Journal:  PLoS One       Date:  2014-03-06       Impact factor: 3.240

4.  A new method to quantify within dive foraging behaviour in marine predators.

Authors:  Karine Heerah; Mark Hindell; Christophe Guinet; Jean-Benoît Charrassin
Journal:  PLoS One       Date:  2014-06-12       Impact factor: 3.240

5.  How Elephant Seals (Mirounga leonina) Adjust Their Fine Scale Horizontal Movement and Diving Behaviour in Relation to Prey Encounter Rate.

Authors:  Yves Le Bras; Joffrey Jouma'a; Baptiste Picard; Christophe Guinet
Journal:  PLoS One       Date:  2016-12-14       Impact factor: 3.240

6.  Loggerhead turtles (Caretta caretta) use vision to forage on gelatinous prey in mid-water.

Authors:  Tomoko Narazaki; Katsufumi Sato; Kyler J Abernathy; Greg J Marshall; Nobuyuki Miyazaki
Journal:  PLoS One       Date:  2013-06-12       Impact factor: 3.240

7.  How much is too much? Assessment of prey consumption by Magellanic penguins in Patagonian colonies.

Authors:  Juan E Sala; Rory P Wilson; Flavio Quintana
Journal:  PLoS One       Date:  2012-12-12       Impact factor: 3.240

8.  Large-scale climatic anomalies affect marine predator foraging behaviour and demography.

Authors:  Charles A Bost; Cedric Cotté; Pascal Terray; Christophe Barbraud; Cécile Bon; Karine Delord; Olivier Gimenez; Yves Handrich; Yasuhiko Naito; Christophe Guinet; Henri Weimerskirch
Journal:  Nat Commun       Date:  2015-10-27       Impact factor: 14.919

9.  Development of an automated method of detecting stereotyped feeding events in multisensor data from tagged rorqual whales.

Authors:  Ann N Allen; Jeremy A Goldbogen; Ari S Friedlaender; John Calambokidis
Journal:  Ecol Evol       Date:  2016-09-29       Impact factor: 2.912

  9 in total

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