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Related Experiment Video

Updated: Dec 15, 2025

Low-Cost Automated Flight Intercept Trap for the Temporal Sub-Sampling of Flying Insects Attracted to Artificial Light at Night

Low-Cost Automated Flight Intercept Trap for the Temporal Sub-Sampling of Flying Insects Attracted to Artificial Light at Night

Published on: December 29, 2021

Automated flight-interception traps for interval sampling of insects.

Janine Bolliger¹, Marco Collet^1,2, Michael Hohl^1,2

¹WSL, Swiss Federal Research Institute, Birmensdorf, Switzerland.

|July 11, 2020

Summary

A new automated insect trap allows for precise, time-interval sampling, crucial for studying environmental impacts on insect populations. This efficient, reliable trap saves labor and improves data accuracy for insect monitoring.

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Last Updated: Dec 15, 2025

Low-Cost Automated Flight Intercept Trap for the Temporal Sub-Sampling of Flying Insects Attracted to Artificial Light at Night

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Published on: December 29, 2021

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Area of Science:

Ecology
Entomology
Environmental Science

Background:

Insect decline research necessitates understanding drivers with high temporal resolution.
Conventional insect monitoring often lacks the temporal accuracy for time-critical factors like light pollution.
Manual insect trapping is labor-intensive and struggles with synchronized, site-specific sampling.

Purpose of the Study:

To develop and validate a battery-driven automated insect flight-interception trap.
To enable sampling insects during user-defined time intervals for enhanced ecological studies.
To overcome limitations of manual trapping in temporal accuracy and labor efficiency.

Main Methods:

A commercial flight-interception trap was modified with a turntable and eight positions (seven sample cups, one pass-through).
The automated trap samples insects during seven user-defined intervals, avoiding collection during others.
Field comparisons with manual traps and multi-trap deployments assessed trap reliability and efficiency.

Main Results:

Automated traps showed no significant difference in insect catch compared to manual traps.
Extensive trials confirmed the reliability and robustness of the automated insect traps.
The automated system demonstrated efficiency, saving manpower and associated costs.

Conclusions:

The automated insect trap provides accurate, comparable data with user-defined temporal resolution.
This innovation facilitates new research into time-critical environmental factors affecting insect populations.
The low-maintenance, robust design offers practical advantages for ecological monitoring and research.