Scaling laws of marine predator search behaviour

被引:765
作者
Sims, David W. [1 ,2 ]
Southall, Emily J. [1 ]
Humphries, Nicolas E. [1 ]
Hays, Graeme C. [4 ]
Bradshaw, Corey J. A. [5 ]
Pitchford, Jonathan W. [6 ,7 ]
James, Alex [6 ,7 ,8 ]
Ahmed, Mohammed Z. [3 ]
Brierley, Andrew S. [9 ]
Hindell, Mark A. [10 ]
Morritt, David [11 ]
Musyl, Michael K. [12 ]
Righton, David [13 ]
Shepard, Emily L. C. [4 ]
Wearmouth, Victoria J. [1 ]
Wilson, Rory P. [4 ]
Witt, Matthew J. [14 ]
Metcalfe, Julian D. [13 ]
机构
[1] Marine Biol Assoc United Kingdom Lab, Plymouth PL1 2PB, Devon, England
[2] Univ Plymouth, Marine Biol & Ecol Res Ctr, Sch Biol Sci, Plymouth PL4 8AA, Devon, England
[3] Univ Plymouth, Sch Comp Commun & Elect, Plymouth PL4 8AA, Devon, England
[4] Univ Coll Swansea, Dept Biol Sci, Inst Environm Sustainabil, Swansea SA2 8PP, W Glam, Wales
[5] Charles Darwin Univ, Sch Environm Res, Darwin, NT 0909, Australia
[6] Univ York, Dept Biol, York YO10 5YW, N Yorkshire, England
[7] Univ York, York Ctr Complex Syst Anal, York YO10 5YW, N Yorkshire, England
[8] Univ Canterbury, Dept Math & Stat, Christchurch 1, New Zealand
[9] Univ St Andrews, Gatty Marine Lab, Sch Biol, St Andrews KY16 8LB, Fife, Scotland
[10] Univ Tasmania, Sch Zool, Hobart, Tas 7001, Australia
[11] Univ London Royal Holloway & Bedford New Coll, Sch Biol Sci, Egham TW20 0EX, Surrey, England
[12] Univ Hawaii Manoa, Joint Inst Marine & Atmospher Res, Pelag Fisheries Res Programme, Kewalo Res Facil,NOAA Fisheries, Honolulu, HI 96814 USA
[13] Ctr Environm Fisheries & Aquaculture Sci, Lowestoft Lab, Lowestoft NR33 0HT, Suffolk, England
[14] Univ Exeter, Ctr Ecol & Conservat, Cornwall TR10 9EZ, England
基金
英国自然环境研究理事会;
关键词
D O I
10.1038/nature06518
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Many free- ranging predators have to make foraging decisions with little, if any, knowledge of present resource distribution and availability(1). The optimal search strategy they should use to maximize encounter rates with prey in heterogeneous natural environments remains a largely unresolved issue in ecology(1-3). Levy walks(4) are specialized random walks giving rise to fractal movement trajectories that may represent an optimal solution for searching complex landscapes(5). However, the adaptive significance of this putative strategy in response to natural prey distributions remains untested(6,7). Here we analyse over a million movement displacements recorded from animal- attached electronic tags to show that diverse marine predators - sharks, bony fishes, sea turtles and penguins - exhibit Levy- walk- like behaviour close to a theoretical optimum(2). Prey density distributions also display Levy- like fractal patterns, suggesting response movements by predators to prey distributions. Simulations show that predators have higher encounter rates when adopting Levy- type foraging in natural- like prey fields compared with purely random landscapes. This is consistent with the hypothesis that observed search patterns are adapted to observed statistical patterns of the landscape. This may explain why Levy- like behaviour seems to be widespread among diverse organisms(3), from microbes(8) to humans(9), as a `rule' that evolved in response to patchy resource distributions.
引用
收藏
页码:1098 / U5
页数:6
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