Outline The physics of foraging Bumblebee foraging Summary The Physics of Foraging: Bumblebee Flights under Predation Risk Friedrich Lenz 1 Thomas C. Ings 2 Lars Chittka 2 Aleksei V. Chechkin 3 Rainer Klages 1 1 Queen Mary University of London, School of Mathematical Sciences 2 Queen Mary University of London, Biological and Chemical Sciences 3 Institute for Theoretical Physics NSC KIPT, Kharkov, Ukraine INI Colloquium Series University and ETH Zurich, 25 October 2013 Physics of foraging and bumblebee flights Rainer Klages 1
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Outline The physics of foraging Bumblebee foraging Summary
The Physics of Foraging:Bumblebee Flights under Predation Risk
Friedrich Lenz1 Thomas C. Ings2 Lars Chittka2
Aleksei V. Chechkin3 Rainer Klages1
1Queen Mary University of London, School of Mathematical Sciences
2Queen Mary University of London, Biological and Chemical Sciences
3Institute for Theoretical Physics NSC KIPT, Kharkov, Ukraine
INI Colloquium SeriesUniversity and ETH Zurich, 25 October 2013
Physics of foraging and bumblebee flights Rainer Klages 1
Outline The physics of foraging Bumblebee foraging Summary
Outline
1 The physics of foraging:Can biologically relevantsearch strategies be identifiedby mathematical modeling?
the albatross story and the Lévy flight hypothesis
further biological data, their analysis and interpretation
2 Bumblebees foragingunder predation risk:
the experimentthe analysisthe modeling
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Outline The physics of foraging Bumblebee foraging Summary
Part 1:
The Physics of Foraging
Physics of foraging and bumblebee flights Rainer Klages 3
Outline The physics of foraging Bumblebee foraging Summary
Lévy flight search patterns of wandering albatrosses
famous paper by Viswanathan et al., Nature 381, 413 (1996):
for albatrosses foraging inthe South Atlantic the flighttimes were recorded
the distribution of flight timeswas fitted with a Lévy flightmodel (power law)
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Outline The physics of foraging Bumblebee foraging Summary
Lévy flights in a nutshell
Lévy flights have well-defined mathematical properties :
a Markovian stochastic process (no memory)
with probability distribution function of flight lengthsexhibiting power law tails, ρ(ℓ) ∼ ℓ−1−α , 0 < α < 2;
it has infinite variance, < ℓ2 >= ∞,
satisfies a generalized central limit theorem (Gnedenko,Kolmogorov, 1949) and
is scale invariant
for an outline see, e.g., Shlesinger at al., Nature 363, 31 (1993)
(remark: ∃ the more physical model of Lévy walks)
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Outline The physics of foraging Bumblebee foraging Summary
Optimizing the success of random searches
another paper by Viswanathan et al., Nature 401, 911 (1999):
question posed about “best statistical strategy to adapt inorder to search efficiently for randomly located objects”random walk model leads to Lévy flight hypothesis:Lévy flights provide an optimal search strategy forsparsely, randomly distributed, revisitable targets
Brownian motion (left) vs. Lévy flights (right)Lévy flights also obtained for bumblebee and deer data
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Outline The physics of foraging Bumblebee foraging Summary
Revisiting Lévy flight search patterns
Edwards et al., Nature 449, 1044 (2007):
Viswanathan et al. results revisited by correcting old data(Buchanan, Nature 453, 714, 2008):
no Lévy flights: new, more extensive data suggests(gamma distributed) stochastic processbut claim that truncated Lévy flights fit yet new dataHumphries et al., PNAS 109, 7169 (2012)
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Outline The physics of foraging Bumblebee foraging Summary
Lévy or not Lévy?
Lévy paradigm : Look for power law tails in pdfs!
Sims et al., Nature 451, 1098 (2008): scaling laws ofmarine predator search behaviour; > 106 data points!
prey distributions also display Lévy-like patterns...
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Outline The physics of foraging Bumblebee foraging Summary
Lévy flights induced by the environment?
Humphries et al., Nature 465, 1066 (2010): environmentalcontext explains Lévy and Brownian movement patterns ofmarine predators; > 107 data points!; for blue shark:
blue: exponential; red: truncated power law
note: ∃ day-night cycle, cf. oscillations; suggests to fit withtwo different pdfs (not done)
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Outline The physics of foraging Bumblebee foraging Summary
Optimal searches: adaptive or emergent?
strictly speaking two different Lévy flight hypotheses:
Study bumblebee foraging in a laboratory experiment.
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Outline The physics of foraging Bumblebee foraging Summary
The bumblebee experiment
Ings, Chittka, Current Biology 18, 1520 (2008):bumblebee foraging in a cube of ≃ 75cm side length
artificial yellow flowers: 4x4 grid onone wall
two cameras track the position(50fps) of a single bumblebee(Bombus terrestris)
advantages: systematic variation of the environment;easier than tracking bumblebees on large scales
disadvantage: no typical free flight of bumblebees; no testof the Lévy hypothesis (but questioning of the Lévyparadigm!)
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Outline The physics of foraging Bumblebee foraging Summary
Variation of the environmental conditions
safe and dangerousflowers
movie
three experimental stages:
1 spider-free foraging
2 foraging under predation risk
3 memory test 1 day later
#bumblebees=30 , #data per bumblebee for each stage ≈ 7000
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Outline The physics of foraging Bumblebee foraging Summary
Bumblebee experiment: two main questions
1 What type of motion do the bumblebees perform in termsof stochastic dynamics?
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2 Are there changes of the dynamics under variation of theenvironmental conditions?
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Velocity distributions: analysis
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Quantiles of PDF with parameters estimated from data [m/s]
left: experimental data yielding pdf of vy -velocities of a singlebumblebee in the spider-free stage (black crosses) with max.likelihood fits of mixture of 2 Gaussians; exponential; powerlaw; single Gaussian
right: quantile-quantile plot of a Gaussian mixture against theexperimental data (black) plus surrogate data
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Outline The physics of foraging Bumblebee foraging Summary
Velocity distributions: interpretation
best fit to the data by a mixture of two Gaussians withdifferent variances (verified by information criteria withresp. weights)
biological explanation: models spatially different flightmodes near the flower vs. far away, cf. intermittentdynamics
no contradiction to Lévy hypothesis; but Lévy paradigm‘suggests’: all relevant information captured by pdfs
⇒big surprise: no difference in pdfs between differentstages under variation of environmental conditions!
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Outline The physics of foraging Bumblebee foraging Summary
Velocity autocorrelation function ‖ to the wall
V ACy (τ) =
〈(vy (t)−µ)(vy (t+τ)−µ)〉
σ2 with average over all bees:
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plot: spider-free stage, predation thread, memory test
correlations change from positive (spider-free) tonegative (spiders)
⇒ all changes are in the velocity correlations , not in pdfs!
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Outline The physics of foraging Bumblebee foraging Summary
Predator avoidance and a simple model
predator avoidance asdifference in position pdfsspider / no spider from data: