Literature DB >> 18584255

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

John A Byers1.   

Abstract

The release rate of a semiochemical lure that attracts flying insects has a specific effective attraction radius (EAR) that corresponds to the lure's orientation response strength. EAR is defined as the radius of a passive sphere that intercepts the same number of insects as a semiochemical-baited trap. It is estimated by calculating the ratio of trap catches in the field in baited and unbaited traps and the interception area of the unbaited trap. EAR serves as a standardized method for comparing the attractive strengths of lures that is independent of population density. In two-dimensional encounter rate models that are used to describe insect mass trapping and mating disruption, a circular EAR (EAR(c)) describes a key parameter that affects catch or influence by pheromone in the models. However, the spherical EAR, as measured in the field, should be transformed to an EAR(c) for appropriate predictions in such models. The EAR(c) is calculated as (pi/2EAR(2))/F (L), where F (L) is the effective thickness of the flight layer where the insect searches. F (L) was estimated from catches of insects (42 species in the orders Coleoptera, Lepidoptera, Diptera, Hemiptera, and Thysanoptera) on traps at various heights as reported in the literature. The EAR(c) was proposed further as a simple but equivalent alternative to simulations of highly complex active-space plumes with variable response surfaces that have proven exceedingly difficult to quantify in nature. This hypothesis was explored in simulations where flying insects, represented as coordinate points, moved about in a correlated random walk in an area that contained a pheromone plume, represented as a sector of active space composed of a capture probability surface of variable complexity. In this plume model, catch was monitored at a constant density of flying insects and then compared to simulations in which a circular EAR(c) was enlarged until an equivalent rate was caught. This demonstrated that there is a circular EAR(c), where all insects that enter are caught, which corresponds in catch effect to any plume. Thus, the EAR(c), based on the field-observed EAR, can be used in encounter rate models to develop effective control programs based on mass trapping and/or mating disruption.

Entities:  

Mesh:

Substances:

Year:  2008        PMID: 18584255     DOI: 10.1007/s10886-008-9509-0

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


  16 in total

1.  Differentiation of competitive vs. non-competitive mechanisms mediating disruption of moth sexual communication by point sources of sex pheromone (part 2): Case studies.

Authors:  J R Miller; L J Gut; F M de Lame; L L Stelinski
Journal:  J Chem Ecol       Date:  2006-10-04       Impact factor: 2.626

2.  Simulation of mating disruption and mass trapping with competitive attraction and camouflage.

Authors:  John A Byers
Journal:  Environ Entomol       Date:  2007-12       Impact factor: 2.377

3.  Attraction to pheromone sources of different quantity, quality, and spacing: Density-regulation mechanisms in bark beetleIps typographus.

Authors:  F Schlyter; J A Byers; J Löfqvist
Journal:  J Chem Ecol       Date:  1987-06       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

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

Authors:  J A Byers
Journal:  J Chem Ecol       Date:  1993-09       Impact factor: 2.626

Review 6.  Potential of mass trapping for long-term pest management and eradication of invasive species.

Authors:  A M El-Sayed; D M Suckling; C H Wearing; J A Byers
Journal:  J Econ Entomol       Date:  2006-10       Impact factor: 2.381

7.  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

8.  Polymorphic mimicry, microhabitat use, and sex-specific behaviour.

Authors:  M Joron
Journal:  J Evol Biol       Date:  2005-05       Impact factor: 2.411

9.  The analysis of olfactory communication among animals.

Authors:  W H Bossert; E O Wilson
Journal:  J Theor Biol       Date:  1963-11       Impact factor: 2.691

10.  Evaluation of time-average dispersion models for estimating pheromone concentration in a deciduous forest.

Authors:  J S Elkinton; R T Cardé; C J Mason
Journal:  J Chem Ecol       Date:  1984-07       Impact factor: 2.626

View more
  9 in total

1.  Estimating insect flight densities from attractive trap catches and flight height distributions.

Authors:  John A Byers
Journal:  J Chem Ecol       Date:  2012-04-24       Impact factor: 2.626

2.  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

3.  Pheromone production, male abundance, body size, and the evolution of elaborate antennae in moths.

Authors:  Matthew Re Symonds; Tamara L Johnson; Mark A Elgar
Journal:  Ecol Evol       Date:  2012-01       Impact factor: 2.912

4.  A computer model of insect traps in a landscape.

Authors:  Nicholas C Manoukis; Brian Hall; Scott M Geib
Journal:  Sci Rep       Date:  2014-11-12       Impact factor: 4.379

5.  Predicting forest insect flight activity: A Bayesian network approach.

Authors:  Stephen M Pawson; Bruce G Marcot; Owen G Woodberry
Journal:  PLoS One       Date:  2017-09-27       Impact factor: 3.240

6.  Effect of Lure Combination on Fruit Fly Surveillance Sensitivity.

Authors:  Lloyd D Stringer; Rajendra Soopaya; Ruth C Butler; Roger I Vargas; Steven K Souder; Andrew J Jessup; Bill Woods; Peter J Cook; David Maxwell Suckling
Journal:  Sci Rep       Date:  2019-02-25       Impact factor: 4.996

7.  Synthetic sex-aggregation pheromone of Lutzomyia longipalpis, the South American sand fly vector of Leishmania infantum, attracts males and females over long-distance.

Authors:  Mikel A González; Melissa Bell; Cristian F Souza; Rafael Maciel-de-Freitas; Reginaldo P Brazil; Orin Courtenay; James G C Hamilton
Journal:  PLoS Negl Trop Dis       Date:  2020-10-20

Review 8.  Pheromones and Other Semiochemicals for Monitoring Rare and Endangered Species.

Authors:  Mattias C Larsson
Journal:  J Chem Ecol       Date:  2016-09-13       Impact factor: 2.626

9.  The Impact of Environmental Factors on the Efficacy of Chemical Communication in the Burying Beetle (Coleoptera: Silphidae).

Authors:  Johanna Chemnitz; Christian von Hoermann; Manfred Ayasse; Sandra Steiger
Journal:  J Insect Sci       Date:  2020-07-01       Impact factor: 1.857

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.