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Related Experiment Video

Updated: May 31, 2026

Quantifying Corticolous Arthropods Using Sticky Traps
05:28

Quantifying Corticolous Arthropods Using Sticky Traps

Published on: January 19, 2020

Using demographic data to better interpret pitfall trap catches.

Andrey V Matalin1, Kirill V Makarov

  • 1Zoology & Ecology Department, Moscow State Pedagogical University, Moscow, Russia.

Zookeys
|July 9, 2011
PubMed
Summary

Pitfall trapping data for ground beetles (Carabidae) can be misleading. Analyzing species demographics reveals residents, migrants, and sporadic species, improving habitat assessment accuracy.

Keywords:
Carabidaeabundanceazonal sitescommunitylabile componentmigratoryresidentresidential habitatssporadicstable componenttransit habitatszonal sites

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Area of Science:

  • Ecology
  • Zoology
  • Entomology

Background:

  • Pitfall trapping is commonly used to estimate ground beetle abundance.
  • High catches in unsuitable habitats suggest limitations in interpreting pitfall data.
  • The correlation between pitfall catches and true Carabidae distribution needs validation.

Purpose of the Study:

  • To assess the reliability of pitfall trapping for Carabidae abundance estimation.
  • To investigate the role of demographic structure in interpreting ground beetle communities.
  • To differentiate between resident, migrant, and sporadic ground beetle species.

Main Methods:

  • A year-long pitfall trapping survey in the Lake Elton region, Russia (2006/07).
  • Identification of 175 ground beetle species.
  • Analysis of local population demographic structures to classify species.

Main Results:

  • Three species groups were identified: residents, migrants, and sporadic, based on demographic structure.
  • Residents have complete local population demographics in "residential" habitats.
  • Migrants and sporadic species have incomplete demographics in "transit" habitats, inflating catch data.

Conclusions:

  • Pitfall trapping accurately reflects Carabidae communities only in zonal habitats.
  • Migrant and sporadic species form a "labile" component, complicating diversity interpretation.
  • Assessing species' migratory/residential status enhances pitfall trap data reliability.