Testing optimal foraging theory in a penguin-krill system

Proceedings of the Royal Society B: Biological Sciences

Volumn 281, Issue 1779, 2014, Pages

  Watanabe, Yuuki Y ^a   Ito, Motohiro ^a   Takahashi, Akinori ^a  

^a NATIONAL INSTITUTE OF POLAR RESEARCH   (Japan)

Author keywords

Ad lie penguin; Antarctic krill; Biologging; Marine predator

Indexed keywords

ENVIRONMENTAL EFFECT; FORAGING BEHAVIOR; HETEROGENEITY; LIFE HISTORY TRAIT; MARINE ECOSYSTEM; PATCH SIZE; PREDATOR-PREY INTERACTION; RESIDENCE TIME;

ADÉLIE PENGUIN; ANIMAL; ARTICLE; BIOLOGGING; BIOLOGICAL MODEL; DIVING; EUPHAUSIA SUPERBA; KRILL; MARINE PREDATOR; PENGUIN; PHYSIOLOGY; PREDATION; STATISTICAL MODEL; TIME;

ADÉLIE PENGUIN; ANTARCTIC KRILL; BIOLOGGING; MARINE PREDATOR;

ANIMALS; DIVING; EUPHAUSIACEA; LINEAR MODELS; MODELS, BIOLOGICAL; PHYSIOLOGY; PREDATORY BEHAVIOR; SPHENISCIDAE; TIME FACTORS;

EID: 84893061799     PISSN: 09628452     EISSN: 14712954     Source Type: Journal    
DOI: 10.1098/rspb.2013.2376     Document Type: Article

References (32)

1. Begon M, Townsend CR, Harper JL. 2006 Ecology: from individuals to ecosystems, 4th edn. Oxford, UK: Blackwell Publishing.
2. MacArthur RH, Pianka ER. 1966 On optimal use of a patchy environment. Am. Nat. 100, 603-609. (doi:10.1086/282454)
3. Stephens DW, Krebs JR. 1986 Foraging theory, p. 247. Princeton, NJ: Princeton University Press.
4. Parker GA, Maynard Smith J. 1990 Optimality theory in evolutionary biology. Nature 348, 27-33. (doi:10.1038/348027a0)
5. Charnov EL. 1976 Optimal foraging, the marginal value theorem. Theor. Popul. Biol. 9, 129-136. (doi:10.1016/0040-5809(76)90040-x)
6. Nonacs P. 2001 State dependent behavior and the marginal value theorem. Behav. Ecol. 12, 71-83. (doi:10.1093/oxfordjournals.beheco.a000381)
7. Munger JC. 1984 Optimal foraging? Patch use by horned lizards (Iguanidae, Phrynosoma). Am. Nat. 123, 654-680. (doi:10.1086/284230)
8. Alonso JC, Alonso JA, Bautista LM, Munoz-Pulido R. 1995 Patch use in cranes: a field test of optimal foraging predictions. Anim. Behav. 49, 1367-1379. (doi:10.1006/anbe.1995.0167)
9. Amano T, Katayama N. 2009 Hierarchical movement decisions in predators: effects of foraging experience at more than one spatial and temporal scale. Ecology 90, 3536-3545. (doi:10.1890/08-1910.1)
10. Marshall HH, Carter AJ, Ashford A, Rowcliffe JM, Cowlishaw G. 2013 How do foragers decide when to leave a patch? A test of alternative models under natural and experimental conditions. J. Anim. Ecol. 82, 894-902. (doi:10.1111/1365-2656.12089)
11. Naito Y. 2004 New steps in bio-logging science. Mem. Natl Inst. Polar Res. Spec. Issue 58, 50-57.
12. Rutz C, Hays GC. 2009 New frontiers in biologging science. Biol. Lett. 5, 289-292. (doi:10.1098/rsbl. 2009.0089)
13. Mori Y, Boyd IL. 2004 The behavioral basis for nonlinear functional responses and optimal foraging in antarctic fur seals. Ecology 85, 398-410. (doi:10. 1890/03-4005)
14. Thums M, Bradshaw CJA, Sumner MD, Horsburgh JM, Hindell MA. 2013 Depletion of deep marine food patches forces divers to give up early. J. Anim. Ecol. 82, 72-83. (doi:10.1111/j.1365-2656.2012. 02021.x)
15. Watanabe YY, Takahashi A. 2013 Linking animalborne video to accelerometers reveals prey capture variability. Proc. Natl Acad. Sci. USA 110, 2199-2204. (doi:10.1073/pnas.1216244110)
16. Murphy EJ, Morris DJ, Watkins JL, Priddle J. 1988 Scales of interaction between Antarctic krill and the environment. In Antarctic ocean and resources variability (ed. D Sahrhage), pp. 120-130. Berlin, Germany: Springer.
17. Watkins JL, Murray AWA. 1998 Layers of Antarctic krill, Euphausia superba: are they just long krill swarms? Mar. Biol. 131, 237-247. (doi:10.1007/ s002270050316)
18. Watanuki Y, Kato A, Mori Y, Naito Y. 1993 Diving performance of Adélie penguins in relation to food availability in fast sea-ice areas: comparison between years. J. Anim. Ecol. 62, 634-646. (doi:10. 2307/5384)
19. McNamara JM, Houston AI. 1985 Optimal foraging and learning. J. Theor. Biol. 117, 231-249. (doi:10. 1016/s0022-5193(85)80219-8)
20. Quinn GP, Keough MJ. 2002 Experimental design and data analysis for biologists. Cambridge, UK: Cambridge University Press.
21. Hamner WM. 1984 Aspects of schooling in Euphausia superba. J. Crust Biol. 4, 67-74.
22. Wilson RP, Ropert-Coudert Y, Kato A. 2002 Rush and grab strategies in foraging marine endotherms: the case for haste in penguins. Anim. Behav. 63, 85-95. (doi:10.1006/anbe. 2001.1883)
23. Brierley AS, Cox MJ. 2010 Shapes of krill swarms and fish schools emerge as aggregation members avoid predators and access oxygen. Curr. Biol. 20, 1758-1762. (doi:10.1016/j.cub. 2010.08.041)
24. Ponganis PJ, Meir JU, Williams CL. 2011 In pursuit of Irving and Scholander: a review of oxygen store management in seals and penguins. J. Exp. Biol. 214, 3325-3339. (doi:10.1242/jeb.031252)
25. Sato K, Naito Y, Kato A, Niizuma Y, Watanuki Y, Charrassin JB, Bost CA, Handrich Y, Le Maho Y. 2002 Buoyancy and maximal diving depth in penguins: do they control inhaling air volume? J. Exp. Biol. 205, 1189-1197.
26. Shiomi K, Sato K, Ponganis PJ. 2012 Point of no return in diving emperor penguins: is the timing of the decision to return limited by the number of strokes? J. Exp. Biol. 215, 135-140. (doi:10.1242/ jeb.064568)
27. Iwasa Y, Higashi M, Yamamura N. 1981 Prey distribution as a factor determining the choice of optimal foraging strategy. Am. Nat. 117, 710-723. (doi:10.1086/283754)
28. Fortin D, Fryxell JM, Pilote R. 2002 The temporal scale of foraging decisions in bison. Ecol. 83, 970-982. (doi:10. 1890/0012-9658(2002)083[0970:ttsofd]2.0.co;2)
29. Heath JP, Gilchrist HG, Ydenberg RC. 2010 Interactions between rate processes with different timescales explain counterintuitive foraging patterns of arctic wintering eiders. Proc. R. Soc. B 277, 3179-3186. (doi:10.1098/rspb.2010.0812)
30. Biuw M et al. 2007 Variations in behavior and condition of a Southern Ocean top predator in relation to in situ oceanographic conditions. Proc. Natl Acad. Sci. USA 104, 13 705-13 710. (doi:10. 1073/pnas.0701121104)
31. Costa DP, Breed GA, Robinson PW. 2012 New insights into pelagic migrations: implications for ecology and conservation. Annu. Rev. Ecol. Evol. Syst. 43, 73-96.
32. Naito Y, Costa DP, Adachi T, Robinson PW, Fowler M, Takahashi A. 2013 Unravelling the mysteries of a mesopelagic diet: a large apex predator specializes on small prey. Funct. Ecol. 27, 710-717. (doi:10. 1111/1365-2435.12083)