The clockwork of insect activity: Advancing ecological understanding through automation

Area of Science:

• Ecology
• Entomology
• Molecular Ecology

Background:

• Insect behavior and activity patterns are crucial for understanding biodiversity and ecological interactions.
• Conventional insect traps offer limited temporal resolution and insights into abiotic factor effects.
• High temporal resolution studies are often labor-intensive or restricted to laboratory settings.

Purpose of the Study:

• To demonstrate the utility of time-controlled insect sampling with automated Malaise traps and metabarcoding for observing taxon-specific activity patterns.
• To gain insights into ecological processes and species behavior through detailed activity data.
• To advance the field of chronoecology by capturing circadian rhythms of insect activity.

Main Methods:

• Utilizing automated Malaise traps for time-controlled insect sampling.
• Employing metabarcoding for high-throughput species identification.
• Applying generalized linear latent variable models to derive insect activity curves from detection data.

Main Results:

• Distinct insect activity patterns were observed at both higher and lower taxonomic levels.
• Activity patterns of some species were found to be more complex than previously documented.
• Variations in activity timing and duration within taxonomic groups suggest links to mating strategies and potential new parasitoid-host relationships.

Conclusions:

• Time-controlled sampling with automated traps and metabarcoding provides a powerful tool for documenting insect activity patterns.
• This approach enhances understanding of species behavior, ecology, and temporal interactions, contributing to chronoecology.
• The findings offer valuable insights into ecological processes, potentially revealing novel relationships and informing biodiversity assessments.