Literature DB >> 24318736

Attraction of bark beetles (Coleoptera: Scolytidae) to a pheromone trap : Experiment and mathematical models.

I S Helland1, J M Hoff, O Anderbrant.   

Abstract

The movement of bark beetles near an attractive pheromone source is described in terms of mathematical models of the diffusion type. To test the models, two release experiments involving 47,000 marked spruce bark beetles [Ips typographus (L.)] were performed. The attractive source was a pheromone trap, surrounded by eight concentric rings with eight passive trap stations on each ring. Captures were recorded every 2-10 minutes for the pheromone trap and once for the passive traps. The models were fitted to the distribution in time of the central pheromone trap catch and to the spatial distribution of catch among the passive traps. The first model that gives a reasonable fit consists of two phases: Phase one-After release the beetles move according to a diffusion process with drift towards the pheromone trap. The strength of the drift is inversely proportional to the distance from the traps. Phase two-those beetles attracted to, but not caught by, the pheromone trap are no longer influenced by the pheromone, and their movement is described by a diffusion process without drift. In phase two we work with a loss of beetles, whereas the experiment seems to indicate that the loss of beetles in phase one is negligible. As a second model, the following modification of phase one is considered: After release the beetles move according to a diffusion process without drift, until they start responding to the pheromone (with constant probability per unit time), whereafter they start moving according to a diffusion process with drift. This study, like other release experiments, shows that the efficiency of the pheromone trap is rather low. What is specific for the present investigation is that we try to explain this low efficiency in terms of dynamic models for insect movement. Two factors seem to contribute: Some beetles do not respond to pheromone at all, and some beetles disappear again after having been close to the pheromone trap. It also seems that the motility of the beetles decreased after they ceased responding to the pheromone. Furthermore, the data lend some support to the hypothesis that flight exercise increases the response of the beetles to pheromone.

Entities:  

Year:  1984        PMID: 24318736     DOI: 10.1007/BF00988539

Source DB:  PubMed          Journal:  J Chem Ecol        ISSN: 0098-0331            Impact factor:   2.626


  6 in total

1.  Genetics of Natural Populations. X. Dispersion Rates in Drosophila Pseudoobscura.

Authors:  T Dobzhansky; S Wright
Journal:  Genetics       Date:  1943-07       Impact factor: 4.562

2.  Random dispersal in theoretical populations.

Authors:  J G SKELLAM
Journal:  Biometrika       Date:  1951-06       Impact factor: 2.445

3.  Kairomone response inThanasimus predators to pheromone components ofIps typographus.

Authors:  A Bakke; T Kvamme
Journal:  J Chem Ecol       Date:  1981-03       Impact factor: 2.626

4.  Sex-specific responses to aggregation pheromone Regulation of colonization density in the bark beetleIps paraconfusus.

Authors:  J A Byers
Journal:  J Chem Ecol       Date:  1983-01       Impact factor: 2.626

5.  Spruce bark beetle, Ips typographus: pheromone production and field response to synthetic pheromones.

Authors:  A Bakke
Journal:  Naturwissenschaften       Date:  1976-02

6.  Pheromone dispersion in forests.

Authors:  Y Fares; P J Sharpe; C E Magnuson
Journal:  J Theor Biol       Date:  1980-05-21       Impact factor: 2.691

  6 in total
  7 in total

1.  Dose-dependent response and preliminary observations on attraction range of Ips typographus to pheromones at low release rates.

Authors:  A J Franklin; J C Grégoir
Journal:  J Chem Ecol       Date:  2001-12       Impact factor: 2.626

2.  Upwind flight orientation to pheromone in western pine beetle tested with rotating wind vane traps.

Authors:  J A Byers
Journal:  J Chem Ecol       Date:  1988-01       Impact factor: 2.626

3.  Attraction of bark beetles (Coleoptera: Scolytidae) to a pheromone trap Experiment and mathematical models.

Authors:  I S Helland; J M Hoff; O Anderbrant
Journal:  J Chem Ecol       Date:  1985-03       Impact factor: 2.626

4.  Quantitative comparison of behavioral and neurophysiological responses of insects to odorants : Inferences about central nervous system processes.

Authors:  M S Mayer; R W Mankin; A J Grant
Journal:  J Chem Ecol       Date:  1987-03       Impact factor: 2.626

5.  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

6.  Capture rates of the European pine sawfly, Neodiprion sertifer, in pheromone traps, with special regard to effects of wind speed.

Authors:  F Ostrand; O Anderbrant; P Jönsson; P Lyytikäinen-Saarenmaa
Journal:  J Chem Ecol       Date:  2001-08       Impact factor: 2.626

7.  Vectors of Dutch Elm Disease in Northern Europe.

Authors:  Liina Jürisoo; Ilmar Süda; Ahto Agan; Rein Drenkhan
Journal:  Insects       Date:  2021-04-29       Impact factor: 2.769

  7 in total

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