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Updated: Dec 26, 2025

Infinium Assay for Large-scale SNP Genotyping Applications
Published on: November 19, 2013
The curse of observer experience: Error in noninvasive genetic sampling
Jillian M Soller1, David E Ausband2, Micaela Szykman Gunther1
1Department of Wildlife, Humboldt State University, Arcata, California, United States of America.
Newer researchers collected more accurate gray wolf (Canis lupus) fecal samples than experienced ones, challenging assumptions about noninvasive genetic sampling (NGS) in wildlife studies. Observer experience may negatively impact data quality.
Area of Science:
- Wildlife ecology
- Conservation genetics
- Field research methods
Background:
- Noninvasive genetic sampling (NGS) is vital for studying elusive species.
- Potential observer bias in NGS data collection is understudied.
- Gray wolf (Canis lupus) populations are often monitored using NGS.
Purpose of the Study:
- To investigate the impact of observer experience on NGS data quality for gray wolves.
- To determine if observer bias affects sample detection, amplification, and species identification.
- To assess the reliability of experienced versus new observers in field genetic sampling.
Main Methods:
- Analyzed 4,836 gray wolf fecal samples collected over 7 years (2008-2014).
- Compared sample collection success rates between new (n=33) and experienced (n=25) observers.
- Evaluated detection, amplification, and species identification accuracy across observer groups.
Main Results:
- New observers outperformed experienced observers in detecting and collecting wolf scats.
- New observers demonstrated higher accuracy in identifying wolf scats from other carnivore species.
- Contrary to hypothesis, observer experience did not improve, and potentially decreased, NGS data quality.
Conclusions:
- Observer experience can negatively influence noninvasive genetic sampling (NGS) data quality.
- Adequate training for new observers is essential, but experienced observers require attention regarding potential biases.
- Field savvy and local knowledge are important, but investigators must consider experience-related fatigue or boredom effects on sampling.
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