%0 Journal Article %1 sims_scaling_2008 %A Sims, David W. %A Southall, Emily J. %A Humphries, Nicolas E. %A Hays, Graeme C. %A Bradshaw, Corey J. A. %A Pitchford, Jonathan W. %A James, Alex %A Ahmed, Mohammed Z. %A Brierley, Andrew S. %A Hindell, Mark A. %A Morritt, David %A Musyl, Michael K. %A Righton, David %A Shepard, Emily L. C. %A Wearmouth, Victoria J. %A Wilson, Rory P. %A Witt, Matthew J. %A Metcalfe, Julian D. %D 2008 %J Nature %K imported %N 7182 %P 1098--1102 %R 10.1038/nature06518 %T Scaling laws of marine predator search behaviour %U http://dx.doi.org/10.1038/nature06518 %V 451 %X Many free-ranging predators have to make foraging decisions with little, if any, knowledge of present resource distribution and availability1. The optimal search strategy they should use to maximize encounter rates with prey in heterogeneous natural environments remains a largely unresolved issue in ecology1, 2, 3. Lévy walks4 are specialized random walks giving rise to fractal movement trajectories that may represent an optimal solution for searching complex landscapes5. However, the adaptive significance of this putative strategy in response to natural prey distributions remains untested6, 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 Lévy-walk-like behaviour close to a theoretical optimum2. Prey density distributions also display Lévy-like fractal patterns, suggesting response movements by predators to prey distributions. Simulations show that predators have higher encounter rates when adopting Lévy-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 Lévy-like behaviour seems to be widespread among diverse organisms3, from microbes8 to humans9, as a 'rule' that evolved in response to patchy resource distributions.

@article{sims_scaling_2008, abstract = {Many free-ranging predators have to make foraging decisions with little, if any, knowledge of present resource distribution and availability1. The optimal search strategy they should use to maximize encounter rates with prey in heterogeneous natural environments remains a largely unresolved issue in ecology1, 2, 3. Lévy walks4 are specialized random walks giving rise to fractal movement trajectories that may represent an optimal solution for searching complex landscapes5. However, the adaptive significance of this putative strategy in response to natural prey distributions remains untested6, 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 Lévy-walk-like behaviour close to a theoretical optimum2. Prey density distributions also display Lévy-like fractal patterns, suggesting response movements by predators to prey distributions. Simulations show that predators have higher encounter rates when adopting Lévy-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 Lévy-like behaviour seems to be widespread among diverse organisms3, from microbes8 to humans9, as a 'rule' that evolved in response to patchy resource distributions.}, added-at = {2017-01-09T13:57:26.000+0100}, author = {Sims, David W. and Southall, Emily J. and Humphries, Nicolas E. and Hays, Graeme C. and Bradshaw, Corey J. A. and Pitchford, Jonathan W. and James, Alex and Ahmed, Mohammed Z. and Brierley, Andrew S. and Hindell, Mark A. and Morritt, David and Musyl, Michael K. and Righton, David and Shepard, Emily L. C. and Wearmouth, Victoria J. and Wilson, Rory P. and Witt, Matthew J. and Metcalfe, Julian D.}, biburl = {https://www.bibsonomy.org/bibtex/2bc1ab84be047cb28f1fffb64f063647e/yourwelcome}, doi = {10.1038/nature06518}, interhash = {f9c9e869b07b4bdb5a2db7062a45ead3}, intrahash = {bc1ab84be047cb28f1fffb64f063647e}, issn = {0028-0836}, journal = {Nature}, keywords = {imported}, month = feb, number = 7182, pages = {1098--1102}, timestamp = {2017-01-09T14:01:11.000+0100}, title = {Scaling laws of marine predator search behaviour}, url = {http://dx.doi.org/10.1038/nature06518}, urldate = {2012-02-07}, volume = 451, year = 2008 }