Literature DB >> 28311017

Variable wind directions and anemotactic strategies of searching for an odour plume.

M W Sabelis1, P Schippers1.   

Abstract

This paper deals with anemotactic strategies of searching for odour plumes under conditions of variation in wind direction and equal energy costs involved in moving a unit path length in any direction in the x, y plane. It is generally accepted that cross-wind searching is the best searching strategy to acquire a maximum amount of information. This is of course true, if the wind is unidirectional. A geometrical model of anemotactic searching is presented that takes into account variation in wind direction. It is shown, that, if wind direction fluctuates over a range larger than 30 degrees from the mean wind direction, then upwind or downwind searching is the best strategy and cross-wind searching is the worst of all possibilities.

Year:  1984        PMID: 28311017     DOI: 10.1007/BF00379881

Source DB:  PubMed          Journal:  Oecologia        ISSN: 0029-8549            Impact factor:   3.225


  3 in total

1.  A reappraisal of insect flight towards a distant point source of wind-borne odor.

Authors:  C T David; J S Kennedy; A R Ludlow; J N Perry; C Wall
Journal:  J Chem Ecol       Date:  1982-09       Impact factor: 2.626

2.  [Wind-orientation in running insects].

Authors:  K E Linsenmair
Journal:  Fortschr Zool       Date:  1973

3.  Genetic variation for anemotaxis (wind-directed movement) in laboratory and wild-caught populations of Drosophilia.

Authors:  J S Johnston
Journal:  Behav Genet       Date:  1982-05       Impact factor: 2.805

  3 in total
  13 in total

1.  Upwind searching for an odor plume is sometimes optimal.

Authors:  D B Dusenbery
Journal:  J Chem Ecol       Date:  1990-06       Impact factor: 2.626

2.  Interactions between pheromone traps with different strength lures for the pine beauty moth,Panolis flammea (Lepidoptera: Noctuidae).

Authors:  J W Bradshaw; N W Ellis; S C Hand; J T Stoakley
Journal:  J Chem Ecol       Date:  1989-10       Impact factor: 2.626

3.  Optimal search direction for an animal flying or swimming in a wind or current.

Authors:  D B Dusenbery
Journal:  J Chem Ecol       Date:  1989-11       Impact factor: 2.626

4.  Temporal clumping of bark beetle arrival at pheromone traps: Modeling anemotaxis in chaotic plumes.

Authors:  J A Byers
Journal:  J Chem Ecol       Date:  1996-11       Impact factor: 2.626

Review 5.  Navigational strategies used by insects to find distant, wind-borne sources of odor.

Authors:  Ring T Cardé; Mark A Willis
Journal:  J Chem Ecol       Date:  2008-06-26       Impact factor: 2.626

6.  Responses of Glossina morsitans morsitans to blends of electroantennographically active compounds in the odors of its preferred (buffalo and ox) and nonpreferred (waterbuck) hosts.

Authors:  Nicholas K Gikonyo; Ahmed Hassanali; Peter G N Njagi; Rajinder K Saini
Journal:  J Chem Ecol       Date:  2003-10       Impact factor: 2.626

7.  State-dependent and odour-mediated anemotactic responses of the predatory mite Phytoseiulus persimilis in a wind tunnel.

Authors:  Merijn Van Tilborg; Maurice W Sabelis; Peter Roessingh
Journal:  Exp Appl Acarol       Date:  2004       Impact factor: 2.132

8.  Radar detection of drones responding to honeybee queen pheromone.

Authors:  G M Loper; W W Wolf; O R Taylor
Journal:  J Chem Ecol       Date:  1993-09       Impact factor: 2.626

9.  The long-distance flight behavior of Drosophila supports an agent-based model for wind-assisted dispersal in insects.

Authors:  Katherine J Leitch; Francesca V Ponce; William B Dickson; Floris van Breugel; Michael H Dickinson
Journal:  Proc Natl Acad Sci U S A       Date:  2021-04-27       Impact factor: 11.205

10.  A spatial model of mosquito host-seeking behavior.

Authors:  Bree Cummins; Ricardo Cortez; Ivo M Foppa; Justin Walbeck; James M Hyman
Journal:  PLoS Comput Biol       Date:  2012-05-17       Impact factor: 4.475

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