NDLI: Calibration of fish counts in video surveys: a case study from the Southeast Reef Fish Survey

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Calibration of fish counts in video surveys: a case study from the Southeast Reef Fish Survey

Content Provider	frontiers
Author	Bacheler, Nathan M. Shertzer, Kyle W. Schobernd, Zebulon H. Coggins, Lewis G. Jr.
Abstract	Changes to sampling gears or vessels can influence the catchability or detectability of fish, leading to biased trends in abundance. Despite the widespread use of underwater video cameras to index fish abundance and the rapid advances in video technology, few studies have focused on calibrating data from different cameras used in underwater video surveys. We describe a side-by-side calibration study (N = 143 paired videos) undertaken in 2014 to account for a camera change in the Southeast Reef Fish Survey, a regional-scale, multi-species reef fish survey along the southeast United States Atlantic coast. Slope estimates from linear regression for the 16 species included in the analyses ranged from 0.21 to 0.98, with an overall mean of 0.57, suggesting that original cameras (Canon Vixia HF-S200) observed an average of 43% fewer fish than newer cameras (GoPro Hero 3+). Some reef fish species had limited calibration sample sizes, such that borrowing calibration information from related or unrelated species was justified in some cases. We also applied calibrations to 11-year video time series of relative abundance of scamp Mycteroperca phenax and red snapper Lutjanus campechanus (N = 13,072 videos), showing that calibrations were critical to separating changes in camera sightability from true changes in abundance. We recommend calibrating data from video cameras anytime changes occur, and pairing video cameras to the extent possible to control for the spatial and temporal variability inherent in fish populations and environmental conditions. Following these guidelines, researchers will be able to maintain the integrity of valuable long-term video datasets despite intentional or unavoidable changes to video cameras over time.
ISSN	22967745
DOI	10.3389/fmars.2023.1183955
Volume Number	10
Journal	Frontiers in Marine Science
Language	English
Publisher Date	2023-04-28
Access Restriction	Open
Subject Keyword	Reef fish Video Camera Survey Fishery-independent survey Calibrate Index of abundance Catchability
Content Type	Text
Resource Type	Article
Subject	Global and Planetary Change Oceanography Ocean Engineering Aquatic Science Water Science and Technology

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