Scan-sampling interval shapes the reliability of immersion-activity estimates in captive penguins

Abstract Instantaneous scan sampling is widely used across behavioural observation settings, but sampling intervals are often chosen for practical reasons despite their influence on estimation accuracy. We evaluated how sampling interval affects estimates of immersion activity in captive Magellanic penguins ( Spheniscus magellanicus ) and whether errors differ between group- and individual-level analyses. Using biologging-derived immersion records, we reconstructed immersion-state sequences and simulated scan sampling at intervals of 30 s and 1, 2, 3, 4, 5, and 30 min, accounting for scan-start phase. Estimation error increased nonlinearly with sampling interval but was smaller and less variable at the group level. Median group-level error remained below 0.7% at 5-min intervals and reached 3.6% at 30 min. In contrast, individual-level error increased sharply beyond 4–5 min and reached 8.5% at 30 min. Sampling interval dominated estimation error, with smaller detectable seasonal effects. Frequent land–water transitions further amplified errors at longer intervals. These results indicate that group-level aggregation buffers error but may also conceal individual-level heterogeneity. For group-level summaries, intervals up to 5 min may provide stable estimates, whereas individual-level monitoring requires finer resolution, approximately 2–3 min. More broadly, our findings highlight that sampling interval, scan phase, state switching, and aggregation level jointly determine the reliability of scan-sampling estimates.

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Publication Details

Journal
Scientific Reports
Published
2026-10-28
DOI
https://doi.org/10.1038/s41598-026-77369-w
Primary Topic
Avian ecology and behavior
Type
article
Field-Weighted Citation Impact
0.00

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article

Scan-sampling interval shapes the reliability of immersion-activity estimates in captive penguins

Ken Yoda, Tomohiro Kakizaki, Hiroe Tsunesumi, Yukari Takashima et al.
2 links
Scientific Reports
Avian ecology and behavior
article

Scan-sampling interval shapes the reliability of immersion-activity estimates in captive penguins

Ken Yoda, Tomohiro Kakizaki, Hiroe Tsunesumi, Yukari Takashima, Takashi Yamamoto
article en

Abstract

Abstract Instantaneous scan sampling is widely used across behavioural observation settings, but sampling intervals are often chosen for practical reasons despite their influence on estimation accuracy. We evaluated how sampling interval affects estimates of immersion activity in captive Magellanic penguins ( Spheniscus magellanicus ) and whether errors differ between group- and individual-level analyses. Using biologging-derived immersion records, we reconstructed immersion-state sequences and simulated scan sampling at intervals of 30 s and 1, 2, 3, 4, 5, and 30 min, accounting for scan-start phase. Estimation error increased nonlinearly with sampling interval but was smaller and less variable at the group level. Median group-level error remained below 0.7% at 5-min intervals and reached 3.6% at 30 min. In contrast, individual-level error increased sharply beyond 4–5 min and reached 8.5% at 30 min. Sampling interval dominated estimation error, with smaller detectable seasonal effects. Frequent land–water transitions further amplified errors at longer intervals. These results indicate that group-level aggregation buffers error but may also conceal individual-level heterogeneity. For group-level summaries, intervals up to 5 min may provide stable estimates, whereas individual-level monitoring requires finer resolution, approximately 2–3 min. More broadly, our findings highlight that sampling interval, scan phase, state switching, and aggregation level jointly determine the reliability of scan-sampling estimates.

Scientific Reports
Japan Society for the Promotion of Science
Openalex Percentile: Top 17%
Avian ecology and behavior
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Scan-sampling interval shapes the reliability of immersion-activity estimates in captive penguins — Ken Yoda, Tomohiro Kakizaki, et al. · Scientific Reports (2026) | TGRS Research Map | TGRS