一个鱼关于估计深度潜水者的声学暗示率的警告故事
Tiago A Marques1, Carolina S Marques2, Kalliopi C Gkikopoulou1
1Centre for Research into Ecological and Environmental Modelling, The Observatory, University of St Andrews, St Andrews, KY16 9LZ, Scotland.
The Journal of the Acoustical Society of America
|September 12, 2023
概括
使用被动声学估计动物的丰富性需要一个提示率. 对鱼声标签数据的新分析表明,使用整个标签持续时间,而不是潜水周期,以避免在提示率估计中的偏差.
科学领域:
- 海洋生物学 海洋生物学
- 生物声学是一种生物声学.
- 野生动物人口估计估计
背景情况:
- 被动声学监测越来越多地用于估计动物数量.
- 线索计数是一种被动声学中的方法,依赖于检测声学线索来估计动物种群.
- 将线索密度转换为动物密度的关键组成部分是线索速率 (每单位时间的每个动物的线索),通常来自动物传播的声学标签.
研究的目的:
- 为了比较不同的方法来估计从深度潜水动物声标签的暗示率.
- 识别现有的提示率估计方法中的潜在偏差.
- 为声标数据提出一个改进的分析单元.
主要方法:
- 使用了装有DTAG (声音和定位记录标签) 的精油的数据.
- 对比了分析声标数据的两种常见方法:加权平均值和通用估计方程,应用于深度潜水周期.
- 评估了整个标签持续时间作为另一个采样单位.
主要成果:
- 之前使用的两种方法 (加权平均值和对潜水周期的概括估计方程) 可能会在暗示率估计中引入偏差.
- 使用声标签的整个持续时间作为采样单元的分析提供了潜在的较少偏差的暗示率估计.
结论:
- 估计精油声标签的暗示率的自然分析单位应该是整个标签的持续时间.
- 这种方法可能为深度潜水物种的被动声密度估计提供更准确的方法.
- 进一步的研究应该在不同的物种和声标签数据集中验证这一发现.
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