Morphometric data from fish are typically generated using one of two methods: from direct measurements made on a specimen, or by extracting distances from a digital picture. We compared data on twelve morphometrics collected with these two different methods on the same collection of Cisco Coregonus artedi to assess the degree of bias in measurements made directly on a specimen versus an image-based method. We also assessed the degree of reproducibility within the image-based method by evaluating the amount of variation between different analysts for each morphometric. Our results indicate specific morphometrics may be more prone to bias across the two methods and between analysts. Four out of twelve morphometrics evaluated showed significant deviation from a 1:1 relationship that would be expected if specimen-based measurements were accurately reproduced from the image-based method. Pelvic fin length and pelvic-anal fin distance had the highest between-analyst variation for image-based landmarks, indicating low reproducibility for these metrics, compared to pectoral fin or total length which had lower between-analyst variation. While some morphometric measurements can be accurately obtained with either method, and therefore potentially used interchangeably in studies on Cisco morphology, our findings highlight the importance of considering method bias in morphometric studies that use data collected by different methods.
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Research Article|
November 23 2020
Comparison of specimen and image-based morphometrics for Cisco
Brian P O'Malley;
Brian P O'Malley
US Geological Survey
Lake Ontario Biological Station
17 Lake St
UNITED STATES
Oswego
New York
13126
3153433951
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Joseph D. Schmitt;
Joseph D. Schmitt
U.S. Geological Survey, Great Lakes Science Center, Lake Erie Biological Station, Sandusky, OH, USA, 44870
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Jeremy P. Holden;
Jeremy P. Holden
Ontario Ministry of Natural Resources, Lake Ontario Management Unit, Picton, Ontario, Canada, K0K 2T0
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Brian C. Weidel
Brian C. Weidel
U.S. Geological Survey, Great Lakes Science Center, Lake Ontario Biological Station, Oswego, NY, USA, 13126
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Journal of Fish and Wildlife Management (2020)
Article history
Received:
April 29 2020
Revision Received:
August 21 2020
Revision Received:
November 06 2020
Accepted:
November 06 2020
Citation
Brian P O'Malley, Joseph D. Schmitt, Jeremy P. Holden, Brian C. Weidel; Comparison of specimen and image-based morphometrics for Cisco. Journal of Fish and Wildlife Management 2020; doi: https://doi.org/10.1111/JFWM-20-029
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