Literature DB >> 24478293

Testing optimal foraging theory in a penguin-krill system.

Yuuki Y Watanabe1, Motohiro Ito, Akinori Takahashi.   

Abstract

Food is heterogeneously distributed in nature, and understanding how animals search for and exploit food patches is a fundamental challenge in ecology. The classic marginal value theorem (MVT) formulates optimal patch residence time in response to patch quality. The MVT was generally proved in controlled animal experiments; however, owing to the technical difficulties in recording foraging behaviour in the wild, it has been inadequately examined in natural predator-prey systems, especially those in the three-dimensional marine environment. Using animal-borne accelerometers and video cameras, we collected a rare dataset in which the behaviour of a marine predator (penguin) was recorded simultaneously with the capture timings of mobile, patchily distributed prey (krill). We provide qualitative support for the MVT by showing that (i) krill capture rate diminished with time in each dive, as assumed in the MVT, and (ii) dive duration (or patch residence time, controlled for dive depth) increased with short-term, dive-scale krill capture rate, but decreased with long-term, bout-scale krill capture rate, as predicted from the MVT. Our results demonstrate that a single environmental factor (i.e. patch quality) can have opposite effects on animal behaviour depending on the time scale, emphasizing the importance of multi-scale approaches in understanding complex foraging strategies.

Keywords:  Adélie penguin; Antarctic krill; biologging; marine predator

Mesh:

Year:  2014        PMID: 24478293      PMCID: PMC3924065          DOI: 10.1098/rspb.2013.2376

Source DB:  PubMed          Journal:  Proc Biol Sci        ISSN: 0962-8452            Impact factor:   5.349


  12 in total

1.  Point of no return in diving emperor penguins: is the timing of the decision to return limited by the number of strokes?

Authors:  Kozue Shiomi; Katsufumi Sato; Paul J Ponganis
Journal:  J Exp Biol       Date:  2012-01-01       Impact factor: 3.312

2.  Shapes of krill swarms and fish schools emerge as aggregation members avoid predators and access oxygen.

Authors:  Andrew S Brierley; Martin J Cox
Journal:  Curr Biol       Date:  2010-09-16       Impact factor: 10.834

Review 3.  In pursuit of Irving and Scholander: a review of oxygen store management in seals and penguins.

Authors:  Paul J Ponganis; Jessica U Meir; Cassondra L Williams
Journal:  J Exp Biol       Date:  2011-10-15       Impact factor: 3.312

4.  New frontiers in biologging science.

Authors:  Christian Rutz; Graeme C Hays
Journal:  Biol Lett       Date:  2009-03-11       Impact factor: 3.703

5.  Optimal foraging, the marginal value theorem.

Authors:  E L Charnov
Journal:  Theor Popul Biol       Date:  1976-04       Impact factor: 1.570

6.  How do foragers decide when to leave a patch? A test of alternative models under natural and experimental conditions.

Authors:  Harry H Marshall; Alecia J Carter; Alexandra Ashford; J Marcus Rowcliffe; Guy Cowlishaw
Journal:  J Anim Ecol       Date:  2013-05-07       Impact factor: 5.091

7.  Hierarchical movement decisions in predators: effects of foraging experience at more than one spatial and temporal scale.

Authors:  Tatsuya Amano; Naoki Katayama
Journal:  Ecology       Date:  2009-12       Impact factor: 5.499

8.  Depletion of deep marine food patches forces divers to give up early.

Authors:  Michele Thums; Corey J A Bradshaw; Michael D Sumner; Judy M Horsburgh; Mark A Hindell
Journal:  J Anim Ecol       Date:  2012-08-07       Impact factor: 5.091

9.  Variations in behavior and condition of a Southern Ocean top predator in relation to in situ oceanographic conditions.

Authors:  M Biuw; L Boehme; C Guinet; M Hindell; D Costa; J-B Charrassin; F Roquet; F Bailleul; M Meredith; S Thorpe; Y Tremblay; B McDonald; Y-H Park; S R Rintoul; N Bindoff; M Goebel; D Crocker; P Lovell; J Nicholson; F Monks; M A Fedak
Journal:  Proc Natl Acad Sci U S A       Date:  2007-08-10       Impact factor: 11.205

10.  Buoyancy and maximal diving depth in penguins: do they control inhaling air volume?

Authors:  Katsufumi Sato; Y Naito; A Kato; Y Niizuma; Y Watanuki; J B Charrassin; C-A Bost; Y Handrich; Y Le Maho
Journal:  J Exp Biol       Date:  2002-05       Impact factor: 3.312

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  15 in total

1.  Optimal foraging in seasonal environments: implications for residency of Australian flying foxes in food-subsidized urban landscapes.

Authors:  David J Páez; Olivier Restif; Peggy Eby; Raina K Plowright
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2018-05-05       Impact factor: 6.237

2.  The foraging benefits of being fat in a highly migratory marine mammal.

Authors:  Taiki Adachi; Jennifer L Maresh; Patrick W Robinson; Sarah H Peterson; Daniel P Costa; Yasuhiko Naito; Yuuki Y Watanabe; Akinori Takahashi
Journal:  Proc Biol Sci       Date:  2014-12-22       Impact factor: 5.349

3.  Quantity over quality? Prey-field characteristics influence the foraging decisions of little penguins (Eudyptula minor).

Authors:  G J Sutton; J P Y Arnould
Journal:  R Soc Open Sci       Date:  2022-06-15       Impact factor: 3.653

4.  Unpacking chimpanzee (Pan troglodytes) patch use: Do individuals respond to food patches as predicted by the marginal value theorem?

Authors:  Lisa R O'Bryan; Susan P Lambeth; Steven J Schapiro; Michael L Wilson
Journal:  Am J Primatol       Date:  2020-10-28       Impact factor: 2.371

5.  A critical evaluation of the index of patch quality.

Authors:  Annette L Fayet; Alasdair I Houston
Journal:  Proc Biol Sci       Date:  2021-05-19       Impact factor: 5.349

6.  Taking movement data to new depths: Inferring prey availability and patch profitability from seabird foraging behavior.

Authors:  Marianna Chimienti; Thomas Cornulier; Ellie Owen; Mark Bolton; Ian M Davies; Justin M J Travis; Beth E Scott
Journal:  Ecol Evol       Date:  2017-10-25       Impact factor: 2.912

7.  Foraging behavior links sea ice to breeding success in Antarctic penguins.

Authors:  Yuuki Y Watanabe; Kentaro Ito; Nobuo Kokubun; Akinori Takahashi
Journal:  Sci Adv       Date:  2020-06-24       Impact factor: 14.136

8.  Blue whales (Balaenoptera musculus) optimize foraging efficiency by balancing oxygen use and energy gain as a function of prey density.

Authors:  Elliott Lee Hazen; Ari Seth Friedlaender; Jeremy Arthur Goldbogen
Journal:  Sci Adv       Date:  2015-10-02       Impact factor: 14.136

9.  DNA methylation levels in candidate genes associated with chronological age in mammals are not conserved in a long-lived seabird.

Authors:  Ricardo De Paoli-Iseppi; Andrea M Polanowski; Clive McMahon; Bruce E Deagle; Joanne L Dickinson; Mark A Hindell; Simon N Jarman
Journal:  PLoS One       Date:  2017-12-07       Impact factor: 3.240

10.  Behavioural inference from signal processing using animal-borne multi-sensor loggers: a novel solution to extend the knowledge of sea turtle ecology.

Authors:  Lorène Jeantet; Víctor Planas-Bielsa; Simon Benhamou; Sebastien Geiger; Jordan Martin; Flora Siegwalt; Pierre Lelong; Julie Gresser; Denis Etienne; Gaëlle Hiélard; Alexandre Arque; Sidney Regis; Nicolas Lecerf; Cédric Frouin; Abdelwahab Benhalilou; Céline Murgale; Thomas Maillet; Lucas Andreani; Guilhem Campistron; Hélène Delvaux; Christelle Guyon; Sandrine Richard; Fabien Lefebvre; Nathalie Aubert; Caroline Habold; Yvon le Maho; Damien Chevallier
Journal:  R Soc Open Sci       Date:  2020-05-13       Impact factor: 2.963

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