Literature DB >> 24249370

Simulation and equation models of insect population control by pheromone-baited traps.

J A Byers1.   

Abstract

A spatial-temporal model for personal computers is developed that simulates trapping of an insect population based on trap and population parameters that can be varied independently. The model allows individual "insects" to move forward at any step size with right or left turns within any specified angle taken at random. Thex andy axes of the area within which insects move can be varied as well as the number of insects, their flight speed, and the duration of the control period. In addition, the number of pheromonebaited traps, their placement in a grid or at random (with a variable degree of spacing), and their effective catch radius (proportional to pheromone release rate) can also be varied. Simulations showed that catch was similar regardless of whether traps were placed in a grid or practically at random (random placement but no traps were allowed to overlap in their effective catch radii). Iterative equations were developed for computer that can rapidly obtain values that correspond to the mean results from the slower simulation model. Based on a set of input parameters, the equations determine the percentage of the population that should be caught during a specified time, the time required to catch a specified proportion of the insects, and the number of traps necessary to catch the population proportion in the time period. The effects of varying the number of insects, flight speed, trap radius, and number of traps on the percent control or time to catch all insects are presented. Population control of the bark beetleIps typographus was simulated using realistic pheromone trap and population parameters. A discussion of insect and bark beetle (Coleoptera: Scolytidae) population control using pheromone traps is presented.

Year:  1993        PMID: 24249370     DOI: 10.1007/BF00983798

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


  11 in total

1.  Pheromones: background and potential for use in insect pest control.

Authors:  R M Silverstein
Journal:  Science       Date:  1981-09-18       Impact factor: 47.728

2.  Rate of release of spruce budworm pheromone from virgin females and synthetic lures.

Authors:  S B Ramaswamy; R T Cardé
Journal:  J Chem Ecol       Date:  1984-01       Impact factor: 2.626

3.  Effective attraction radius : A method for comparing species attractants and determining densities of flying insects.

Authors:  J A Byers; O Anderbrant; J Löqvist
Journal:  J Chem Ecol       Date:  1989-02       Impact factor: 2.626

4.  Interactions of pheromone component odor plumes of western pine beetle.

Authors:  J A Byers
Journal:  J Chem Ecol       Date:  1987-12       Impact factor: 2.626

Review 5.  Gypsy moth control with the sex attractant pheromone.

Authors:  M Beroza; E F Knipling
Journal:  Science       Date:  1972-07-07       Impact factor: 47.728

6.  Brevicomin: principal sex attractant in the frass of the female western pine beetle.

Authors:  R M Silverstein; R G Brownlee; T E Bellas; D L Wood; L E Browne
Journal:  Science       Date:  1968-02-23       Impact factor: 47.728

7.  Isolation of pheromone synergists of bark beetle,Pityogenes chalcographus, from complex insect-plant odors by fractionation and subtractive-combination bioassay.

Authors:  J A Byers; G Birgersson; J Löfqvist; M Appelgren; G Bergström
Journal:  J Chem Ecol       Date:  1990-03       Impact factor: 2.626

8.  Repeatability of pheromone emissions from individual female ermine mothsYponomeuta padellus andYponomeuta rorellus.

Authors:  J W Du; C Löfstedt; J Löfqvist
Journal:  J Chem Ecol       Date:  1987-06       Impact factor: 2.626

9.  Field response of spruce bark beetle,Ips typographus, to aggregation pheromone candidates.

Authors:  F Schlyter; G Birgersson; J A Byers; J Löfqvist; G Bergström
Journal:  J Chem Ecol       Date:  1987-04       Impact factor: 2.626

10.  Volatiles released from individual spruce bark beetle entrance holes Quantitative variations during the first week of attack.

Authors:  G Birgersson; G Bergström
Journal:  J Chem Ecol       Date:  1989-10       Impact factor: 2.626

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  5 in total

1.  Orientation of bark beetlesPityogenes chalcographus andIps typographus to pheromonebaited puddle traps placed in grids: A new trap for control of scolytids.

Authors:  J A Byers
Journal:  J Chem Ecol       Date:  1993-10       Impact factor: 2.626

2.  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

3.  Active space of pheromone plume and its relationship to effective attraction radius in applied models.

Authors:  John A Byers
Journal:  J Chem Ecol       Date:  2008-06-27       Impact factor: 2.626

4.  Catching ghosts with a coarse net: use and abuse of spatial sampling data in detecting synchronization.

Authors:  Natalia Petrovskaya; Sergei Petrovskii
Journal:  J R Soc Interface       Date:  2017-02       Impact factor: 4.118

5.  Maximizing Information Yield From Pheromone-Baited Monitoring Traps: Estimating Plume Reach, Trapping Radius, and Absolute Density of Cydia pomonella (Lepidoptera: Tortricidae) in Michigan Apple.

Authors:  C G Adams; J H Schenker; P S McGhee; L J Gut; J F Brunner; J R Miller
Journal:  J Econ Entomol       Date:  2017-04-01       Impact factor: 2.381

  5 in total

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