Literature DB >> 22527056

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

John A Byers1.   

Abstract

Methods and equations have not been developed previously to estimate insect flight densities, a key factor in decisions regarding trap and lure deployment in programs of monitoring, mass trapping, and mating disruption with semiochemicals. An equation to estimate densities of flying insects per hectare is presented that uses the standard deviation (SD) of the vertical flight distribution, trapping time, the trap's spherical effective radius (ER), catch at the mean flight height (as estimated from a best-fitting normal distribution with SD), and an estimated average flight speed. Data from previous reports were used to estimate flight densities with the equations. The same equations can use traps with pheromone lures or attractive colors with a measured effective attraction radius (EAR) instead of the ER. In practice, EAR is more useful than ER for flight density calculations since attractive traps catch higher numbers of insects and thus can measure lower populations more readily. Computer simulations in three dimensions with varying numbers of insects (density) and varying EAR were used to validate the equations for density estimates of insects in the field. Few studies have provided data to obtain EAR, SD, speed, and trapping time to estimate flight densities per hectare. However, the necessary parameters can be measured more precisely in future studies.

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Year:  2012        PMID: 22527056     DOI: 10.1007/s10886-012-0116-8

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


  13 in total

1.  Visual acuity in insects.

Authors:  M F Land
Journal:  Annu Rev Entomol       Date:  1997       Impact factor: 19.686

2.  Analysis of vertical distributions and effective flight layers of insects: three-dimensional simulation of flying insects and catch at trap heights.

Authors:  John A Byers
Journal:  Environ Entomol       Date:  2011-10       Impact factor: 2.377

3.  Differentiation of competitive vs. non-competitive mechanisms mediating disruption of moth sexual communication by point sources of sex pheromone (part I): Theory.

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

4.  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

5.  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

6.  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

7.  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

Review 8.  Potential of "lure and kill" in long-term pest management and eradication of invasive species.

Authors:  A M El-Sayed; D M Suckling; J A Byers; E B Jang; C H Wearing
Journal:  J Econ Entomol       Date:  2009-06       Impact factor: 2.381

9.  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

Review 10.  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

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  2 in total

1.  Modeling and regression analysis of semiochemical dose-response curves of insect antennal reception and behavior.

Authors:  John A Byers
Journal:  J Chem Ecol       Date:  2013-07-30       Impact factor: 2.626

2.  Inhibitory Effects of Semiochemicals on the Attraction of an Ambrosia Beetle Euwallacea nr. fornicatus to Quercivorol.

Authors:  John A Byers; Yonatan Maoz; David Wakarchuk; Daniela Fefer; Anat Levi Zada
Journal:  J Chem Ecol       Date:  2018-04-17       Impact factor: 2.626

  2 in total

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