Literature DB >> 25980569

Modeling Optimal Strategies for Finding a Resource-Linked, Windborne Odor Plume: Theories, Robotics, and Biomimetic Lessons from Flying Insects.

Josep Bau1, Ring T Cardé2.   

Abstract

Male moths locate females by navigating along her pheromone plume, often flying hundreds of meters en route. As the first male to find a calling female is most apt to be her mate, this can be termed "a race to find the female" and it is assumed to be under strong selective pressure for efficiency and rapidity. Locating a distant, odor-linked resource involves two strategies. The first is to contact the outer envelope of the odor plume. When wind direction is relatively invariant, the plume stretches and then crosswind flights may be favored, although when wind direction shifts over 60°, upwind and downwind paths may be optimal. Alternatively, the path may be random with respect to the direction of wind flow, with periodic changes in direction, as in either Lévy or Random Walks. After first detecting the pheromone, a second strategy follows: moths navigate along the plume by heading upwind when the pheromone is detected, with crosswind casting to re-establish contact if the plume is lost. This orientation path is not straightforward in nature, however, because atmospheric turbulence fragments the plume, thereby creating large odor gaps. Furthermore, a shifting wind direction can lead the responder out of the plume. One way to explore which strategies are optimal for enabling initial contact with the plume and subsequent navigation is through modeling of plumes' dispersal and of insects' flight strategies. Our simulations using the flight characteristics of the male gypsy moth (Lymantria dispar) suggest that search strategies similar to Lévy Walks are most apt to result in a high probability of contact with plumes. Although a searching trajectory aimed predominately crosswind performed almost as well as those with a random orientation when wind direction was relatively stable, downwind biased trajectories were least successful. A random orientation with respect to immediate wind flow, as used in our simulations of Lévy and Random Walks, seems optimal both for initial discovery of the plume and likelihood of locating an odor source. In the two available direct field observations, moths adopted a random orientation with respect to concurrent wind direction.
© The Author 2015. Published by Oxford University Press on behalf of the Society for Integrative and Comparative Biology. All rights reserved. For permissions please email: journals.permissions@oup.com.

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Year:  2015        PMID: 25980569     DOI: 10.1093/icb/icv036

Source DB:  PubMed          Journal:  Integr Comp Biol        ISSN: 1540-7063            Impact factor:   3.326


  12 in total

1.  Simulation Modeling to Interpret the Captures of Moths in Pheromone-Baited Traps Used for Surveillance of Invasive Species: the Gypsy Moth as a Model Case.

Authors:  Josep Bau; Ring T Cardé
Journal:  J Chem Ecol       Date:  2016-09-23       Impact factor: 2.626

Review 2.  What smells? Gauging attention to olfaction in canine cognition research.

Authors:  Alexandra Horowitz; Becca Franks
Journal:  Anim Cogn       Date:  2019-10-12       Impact factor: 2.899

3.  Windscapes and olfactory foraging in a large carnivore.

Authors:  Ron R Togunov; Andrew E Derocher; Nicholas J Lunn
Journal:  Sci Rep       Date:  2017-04-12       Impact factor: 4.379

4.  The optimal movement patterns for mating encounters with sexually asymmetric detection ranges.

Authors:  Nobuaki Mizumoto; Shigeto Dobata
Journal:  Sci Rep       Date:  2018-02-20       Impact factor: 4.379

Review 5.  Herbivore-induced plant volatiles and tritrophic interactions across spatial scales.

Authors:  Yavanna Aartsma; Felix J J A Bianchi; Wopke van der Werf; Erik H Poelman; Marcel Dicke
Journal:  New Phytol       Date:  2017-02-14       Impact factor: 10.151

Review 6.  Insect Antennal Morphology: The Evolution of Diverse Solutions to Odorant Perception.

Authors:  Mark A Elgar; Dong Zhang; Qike Wang; Bernadette Wittwer; Hieu Thi Pham; Tamara L Johnson; Christopher B Freelance; Marianne Coquilleau
Journal:  Yale J Biol Med       Date:  2018-12-21

7.  Dropping Counter: A Detection Algorithm for Identifying Odour-Evoked Responses from Noisy Electroantennograms Measured by a Flying Robot.

Authors:  Bluest Lan; Ryohei Kanzaki; Noriyasu Ando
Journal:  Sensors (Basel)       Date:  2019-10-21       Impact factor: 3.576

8.  Effective Exploration Behavior for Chemical-Sensing Robots.

Authors:  Kevin Nickels; Hoa Nguyen; Duncan Frasch; Timothy Davison
Journal:  Biomimetics (Basel)       Date:  2019-10-12

9.  Moth-inspired navigation algorithm in a turbulent odor plume from a pulsating source.

Authors:  Alexander Liberzon; Kyra Harrington; Nimrod Daniel; Roi Gurka; Ally Harari; Gregory Zilman
Journal:  PLoS One       Date:  2018-06-13       Impact factor: 3.240

10.  Design and Experimental Evaluation of an Odor Sensing Method for a Pocket-Sized Quadcopter.

Authors:  Shunsuke Shigaki; Muhamad Rausyan Fikri; Daisuke Kurabayashi
Journal:  Sensors (Basel)       Date:  2018-11-01       Impact factor: 3.576

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