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首页> 外文期刊>ICES Journal of Marine Science >The use of an adaptive acoustic-survey design to estimate the abundance of highly skewed fish populations
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The use of an adaptive acoustic-survey design to estimate the abundance of highly skewed fish populations

机译：使用自适应声学调查设计来估计高度偏斜的鱼类种群的数量

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摘要

The uncertainty (relative root-mean-square error) of abundance estimates based on a simple and easily implemented adaptive design for an acoustic survey is examined. The study is limited to surveys with parallel transects and independent observations with extremely skewed distributions. The adaptive approach defines a stratum for each conventional observation and how to take additional observations in that stratum when the acoustic density exceeds a predetermined threshold. The cost (sailing distance) of each added observation is about three times that of a conventional observation. This method was demonstrated using high-resolution transect data from a herring (Clupea harengus) acoustic survey conducted in 2006 off the north coast of Norway. The primary sampling unit for this winter survey was 5 nautical miles, and the usual distance between transects was 20 nautical miles. The results indicate that an adaptive survey design would substantially reduce the root-mean-square error of the abundance estimates compared with that of the conventional survey design.
机译：基于简单易行的声学勘测自适应设计，对丰度估计的不确定性（相对均方根误差）进行了检查。该研究仅限于具有平行样线的调查和分布极度偏斜的独立观测。自适应方法定义了每个常规观测的层次，以及当声密度超过预定阈值时如何在该层次中进行其他观测。每增加一个观测值的成本（航行距离）约为常规观测值的三倍。 2006年在挪威北海岸进行的鲱鱼（Clupea harengus）声学调查获得的高分辨率横断面数据证明了该方法的有效性。该冬季调查的主要采样单位为5海里，样带之间的通常距离为20海里。结果表明，与传统调查设计相比，自适应调查设计将大大减少丰度估计的均方根误差。

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