Literature DB >> 22251732

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

John A Byers1.   

Abstract

The mean height and standard deviation (SD) of flight is estimated for over 100 insect species from their catches on several trap heights reported in the literature. The iterative equations for calculating mean height and SD are presented. The mean flight height for 95% of the studies varied from 0.17 to 5.40 m, and the SD from 0.12 to 3.83 m. The relationship between SD and mean flight height (X) was SD = 0.711X(-0.7849), n = 123, R(2) = 0.63. In addition, the vertical trap catches were fit to normal distributions and analyzed for skew and kurtosis. The SD was used to calculate an effective flight layer used in transforming the spherical effective attraction radius (EAR) of pheromone-baited traps into a circular EAR(c) for use in two-dimensional encounter rate models of mass trapping and mating disruption using semiochemicals. The EAR/EAR(c) also serves to reveal the attractive strength and efficacy of putative pheromone blends. To determine the reliability of mean flight height and SD calculations from field trapping data, simulations of flying insects in three dimensions (3D) were performed. The simulations used an algorithm that caused individuals to roam freely at random but such that the population distributed vertically according to a normal distribution of specified mean and SD. Within this 3D arena, spherical traps were placed at various heights to determine the effects on catch and SD. The results indicate that data from previous field studies, when analyzed by the iterative equations, should provide good estimates of the population mean height and SD of flight.

Mesh:

Substances:

Year:  2011        PMID: 22251732     DOI: 10.1603/EN11043

Source DB:  PubMed          Journal:  Environ Entomol        ISSN: 0046-225X            Impact factor:   2.377


  6 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.  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

3.  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

4.  Influence of Trap Color, Type, and Placement on Capture Efficacy for Protaetia brevitarsis (Coleoptera: Scarabaeidae).

Authors:  Huanhuan Cai; Tao Zhang; Yinghua Su; Zhongyue Wang; Xiaofang Zhang; Shaoshan Wang; Yongqiang Liu
Journal:  J Econ Entomol       Date:  2021-02-09       Impact factor: 2.381

5.  Predicting insect migration density and speed in the daytime convective boundary layer.

Authors:  James R Bell; Prabhuraj Aralimarad; Ka-Sing Lim; Jason W Chapman
Journal:  PLoS One       Date:  2013-01-24       Impact factor: 3.240

6.  Towards Insect-Friendly Road Lighting-A Transdisciplinary Multi-Stakeholder Approach Involving Citizen Scientists.

Authors:  Sibylle Schroer; Kat Austen; Nicola Moczek; Gregor Kalinkat; Andreas Jechow; Stefan Heller; Johanna Reinhard; Sophia Dehn; Charis I Wuthenow; Martin Post-Stapelfeldt; Roy H A van Grunsven; Catherine Pérez Vega; Heike Schumacher; Leena Kaanaa; Birte Saathoff; Stephan Völker; Franz Hölker
Journal:  Insects       Date:  2021-12-14       Impact factor: 2.769

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.