Literature DB >> 19474077

Evidence for intermittency and a truncated power law from highly resolved aphid movement data.

Alla Mashanova1, Tom H Oliver, Vincent A A Jansen.   

Abstract

Power laws are increasingly used to describe animal movement. Despite this, the use of power laws has been criticized on both empirical and theoretical grounds, and alternative models based on extensions of conventional random walk theory (Brownian motion) have been suggested. In this paper, we analyse a large volume of data of aphid walking behaviour (65,068 data points), which provides a highly resolved dataset to investigate the pattern of movement. We show that aphid movement is intermittent--with alternations of a slow movement with frequent change of direction and a fast, relatively directed movement--and that the fast movement consists of two phases--a strongly directed phase that gradually changes into an uncorrelated random walk. By measuring the mean-squared displacement and the duration of non-stop movement episodes we found that both spatial and temporal aspects of aphid movement are best described using a truncated power law approach. We suggest that the observed spatial pattern arises from the duration of non-stop movement phases rather than from correlations in turning angles. We discuss the implications of these findings for interpreting movement data, such as distinguishing between movement and non-movement, and the effect of the range of data used in the analysis on the conclusions.

Entities:  

Mesh:

Year:  2009        PMID: 19474077      PMCID: PMC2839383          DOI: 10.1098/rsif.2009.0121

Source DB:  PubMed          Journal:  J R Soc Interface        ISSN: 1742-5662            Impact factor:   4.118


  22 in total

1.  A video-based movement analysis system to quantify behavioral stress responses of fish.

Authors:  Andrew S Kane; James D Salierno; Geoffrey T Gipson; Timothy C A Molteno; Colin Hunter
Journal:  Water Res       Date:  2004-11       Impact factor: 11.236

2.  Optimizing the success of random searches.

Authors:  G M Viswanathan; S V Buldyrev; S Havlin; M G da Luz; E P Raposo; H E Stanley
Journal:  Nature       Date:  1999-10-28       Impact factor: 49.962

3.  Optimal search strategies for hidden targets.

Authors:  O Bénichou; M Coppey; M Moreau; P-H Suet; R Voituriez
Journal:  Phys Rev Lett       Date:  2005-05-16       Impact factor: 9.161

4.  Minimizing errors in identifying Lévy flight behaviour of organisms.

Authors:  David W Sims; David Righton; Jonathan W Pitchford
Journal:  J Anim Ecol       Date:  2007-03       Impact factor: 5.091

5.  The scaling laws of human travel.

Authors:  D Brockmann; L Hufnagel; T Geisel
Journal:  Nature       Date:  2006-01-26       Impact factor: 49.962

6.  Using likelihood to test for Lévy flight search patterns and for general power-law distributions in nature.

Authors:  Andrew M Edwards
Journal:  J Anim Ecol       Date:  2008-07-09       Impact factor: 5.091

7.  How many animals really do the Lévy walk? Comment.

Authors:  Andy Reynolds
Journal:  Ecology       Date:  2008-08       Impact factor: 5.499

8.  A Lévy flight for light.

Authors:  Pierre Barthelemy; Jacopo Bertolotti; Diederik S Wiersma
Journal:  Nature       Date:  2008-05-22       Impact factor: 49.962

9.  On estimating the exponent of power-law frequency distributions.

Authors:  Ethan P White; Brian J Enquist; Jessica L Green
Journal:  Ecology       Date:  2008-04       Impact factor: 5.499

10.  Ant semiochemicals limit apterous aphid dispersal.

Authors:  Thomas H Oliver; Alla Mashanova; Simon R Leather; James M Cook; Vincent A A Jansen
Journal:  Proc Biol Sci       Date:  2007-12-22       Impact factor: 5.349

View more
  15 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.  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

3.  Surface shape affects the three-dimensional exploratory movements of nocturnal arboreal snakes.

Authors:  Bruce C Jayne; Jeffrey P Olberding; Dilip Athreya; Michael A Riley
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2012-09-29       Impact factor: 1.836

4.  Anomalous diffusion and multifractality enhance mating encounters in the ocean.

Authors:  Laurent Seuront; H Eugene Stanley
Journal:  Proc Natl Acad Sci U S A       Date:  2014-01-27       Impact factor: 11.205

5.  Levy flights do not always optimize random blind search for sparse targets.

Authors:  Vladimir V Palyulin; Aleksei V Chechkin; Ralf Metzler
Journal:  Proc Natl Acad Sci U S A       Date:  2014-02-10       Impact factor: 11.205

6.  The topography of the environment alters the optimal search strategy for active particles.

Authors:  Giorgio Volpe; Giovanni Volpe
Journal:  Proc Natl Acad Sci U S A       Date:  2017-10-10       Impact factor: 11.205

7.  Variation in individual walking behavior creates the impression of a Levy flight.

Authors:  Sergei Petrovskii; Alla Mashanova; Vincent A A Jansen
Journal:  Proc Natl Acad Sci U S A       Date:  2011-05-09       Impact factor: 11.205

8.  Constructing a stochastic model of bumblebee flights from experimental data.

Authors:  Friedrich Lenz; Aleksei V Chechkin; Rainer Klages
Journal:  PLoS One       Date:  2013-03-08       Impact factor: 3.240

9.  How landscape heterogeneity frames optimal diffusivity in searching processes.

Authors:  E P Raposo; F Bartumeus; M G E da Luz; P J Ribeiro-Neto; T A Souza; G M Viswanathan
Journal:  PLoS Comput Biol       Date:  2011-11-03       Impact factor: 4.475

10.  Intermittent motion in desert locusts: behavioural complexity in simple environments.

Authors:  Sepideh Bazazi; Frederic Bartumeus; Joseph J Hale; Iain D Couzin
Journal:  PLoS Comput Biol       Date:  2012-05-10       Impact factor: 4.475

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.