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Marine Ecology Progress Series

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MEPS 310:185-191 (2006)  -  doi:10.3354/meps310185

Impact of observers’ experience level on counts of fishes in underwater visual surveys

I. D. Williams1,2,*, W. J. Walsh2, B. N. Tissot3, L. E. Hallacher4

1Coral Reef Initiative, Research Program, University of Hawaii at Manoa, Social Science Research Institute, 2424 Maile Way, 704, Honolulu, Hawaii 96822, USA
2Hawaii Division of Aquatic Resources, Honokohau Marina, 74-380B Kealakehe Parkway, Kailua-Kona, Hawaii 96740, USA
3Washington State University Vancouver, 14204 NE Salmon Creek Avenue, Vancouver, Washington 98686, USA
4University of Hawaii-Hilo, Department of Biology, Hilo, Hawaii 96720, USA

ABSTRACT: Underwater visual surveys are widely used to estimate reef fish abundance. Using data from repeated surveys of coral reef sites on West Hawai’i, we assessed one possible factor driving variation among and within observers’ counts, namely the level of observers’ previous survey experience. Increasing experience was associated with higher estimates of species richness and of abundance for some but not all taxa, but no systematic change in intra-observer variability. Least experienced observers counted 66 to 71% as many Acanthuridae, Labridae, and benthic Pomacentridae as the most experienced observers, and only 44% as many Holocentridae, those taxa being numerically dominated by small, mobile, or cryptic fishes. In contrast, there was no effect of experience level on counts of more conspicuous or slow-moving taxa: Chaetodontidae, Chromis, and Cirrhitidae. Experience bias is unlikely to be a major problem for survey programs that pool data from multiple observers with broadly similar levels of experience, other than that all sources of difference among observers contribute to increased data variability and consequently lowered statistical power and precision. However, experience bias clearly could be a serious issue for survey or monitoring programs that begin with largely inexperienced survey divers who gain experience and, consequently, tend to count more fish as the program matures. While experience level is not the only factor causing differences among observers, it is relatively easy to recognize and therefore to mitigate.

KEY WORDS: Underwater visual survey · Bias · Monitoring · Fish counts

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