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<p>Accurate size estimates are essential for understanding elasmobranch population dynamics and life-history traits. For stingrays, disc width (DW) is the standard proxy for size, but it is often distorted in stereo-BRUV&#xa0;(Baited Remote Underwater Video) footage due to the undulating rajiform swimming motion. This study evaluates disc length (DL) as a reliable alternative to DW for Hawaiian brown stingrays (<i>Bathytoshia lata</i>) in Hawaiʻi. A linear regression model with sex and maturity as covariates was developed, validated, and applied to BRUV-derived DL measurements. This framework provides a practical solution for accurately estimating DW from underwater video where only DL is measurable. Although the relationship is species- and region-specific, the framework is transferable and can be adapted to other stingrays or batoid taxa with appropriate paired data. By improving measurement accuracy in BRUV-based monitoring, this method enhances our ability to assess stingray populations using non-invasive techniques at broader scales.</p>

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Improving accuracy of stingray size estimations in video surveys

  • 期刊论文

  • 发表日期：

    2025年12月5日

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  • Lauren Arnold,
  • Jonathan Dale

摘要

Accurate size estimates are essential for understanding elasmobranch population dynamics and life-history traits. For stingrays, disc width (DW) is the standard proxy for size, but it is often distorted in stereo-BRUV (Baited Remote Underwater Video) footage due to the undulating rajiform swimming motion. This study evaluates disc length (DL) as a reliable alternative to DW for Hawaiian brown stingrays (Bathytoshia lata) in Hawaiʻi. A linear regression model with sex and maturity as covariates was developed, validated, and applied to BRUV-derived DL measurements. This framework provides a practical solution for accurately estimating DW from underwater video where only DL is measurable. Although the relationship is species- and region-specific, the framework is transferable and can be adapted to other stingrays or batoid taxa with appropriate paired data. By improving measurement accuracy in BRUV-based monitoring, this method enhances our ability to assess stingray populations using non-invasive techniques at broader scales.