Literature DB >> 17824426

Displaced honey bees perform optimal scale-free search flights.

Andrew M Reynolds1, Alan D Smith, Randolf Menzel, Uwe Greggers, Donald R Reynolds, Joseph R Riley.   

Abstract

Honey bees (Apis mellifera) are regularly faced with the task of navigating back to their hives from remote food sources. They have evolved several methods to do this, including compass-directed "vector" flights and the use of landmarks. If these hive-centered mechanisms are disrupted, bees revert to searching for the hive, but the nature and efficiency of their searching strategy have hitherto been unknown. We used harmonic radar to record the flight paths of honey bees that were searching for their hives. Our subsequent analysis of these paths revealed that they can be represented by a series of straight line segments that have a scale-free, Lévy distribution with an inverse-square-law tail. We show that these results, combined with the "no preferred direction" characteristic of the segments, demonstrate that the bees were flying an optimal search pattern. Lévy movements have already been identified in a number of other animals. Our results are the best reported example where the movements are mostly attributable to the adoption of an optimal, scale-free searching strategy.

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Year:  2007        PMID: 17824426     DOI: 10.1890/06-1916.1

Source DB:  PubMed          Journal:  Ecology        ISSN: 0012-9658            Impact factor:   5.499


  48 in total

1.  Bridging the gulf between correlated random walks and Lévy walks: autocorrelation as a source of Lévy walk movement patterns.

Authors:  Andy M Reynolds
Journal:  J R Soc Interface       Date:  2010-07-14       Impact factor: 4.118

2.  Extending Lévy search theory from one to higher dimensions: Lévy walking favours the blind.

Authors:  A M Reynolds
Journal:  Proc Math Phys Eng Sci       Date:  2015-07-08       Impact factor: 2.704

3.  Scaling law in free walking of mice in circular open fields of various diameters.

Authors:  Hiroto Shoji
Journal:  J Biol Phys       Date:  2016-01-18       Impact factor: 1.365

4.  How animals move along? Exactly solvable model of superdiffusive spread resulting from animal's decision making.

Authors:  Paulo F C Tilles; Sergei V Petrovskii
Journal:  J Math Biol       Date:  2015-12-09       Impact factor: 2.259

5.  Fractal reorientation clocks: Linking animal behavior to statistical patterns of search.

Authors:  Frederic Bartumeus; Simon A Levin
Journal:  Proc Natl Acad Sci U S A       Date:  2008-12-05       Impact factor: 11.205

6.  Search strategies of ants in landmark-rich habitats.

Authors:  Ajay Narendra; Ken Cheng; Danielle Sulikowski; Rüdiger Wehner
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2008-09-10       Impact factor: 1.836

Review 7.  Assessing Lévy walks as models of animal foraging.

Authors:  Alex James; Michael J Plank; Andrew M Edwards
Journal:  J R Soc Interface       Date:  2011-06-01       Impact factor: 4.118

8.  Linking animal movement to site fidelity.

Authors:  Luca Giuggioli; Frederic Bartumeus
Journal:  J Math Biol       Date:  2011-06-02       Impact factor: 2.259

9.  Truncated Lévy walks are expected beyond the scale of data collection when correlated random walks embody observed movement patterns.

Authors:  A M Reynolds
Journal:  J R Soc Interface       Date:  2011-08-10       Impact factor: 4.118

10.  Lévy flight movement patterns in marine predators may derive from turbulence cues.

Authors:  A M Reynolds
Journal:  Proc Math Phys Eng Sci       Date:  2014-11-08       Impact factor: 2.704

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