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首页> 外文期刊>Journal of Experimental Marine Biology and Ecology >Observer bias and detection probability in underwater visual census of fish assemblages measured with independent double-observers
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Observer bias and detection probability in underwater visual census of fish assemblages measured with independent double-observers

机译：用独立的双观测器测量鱼群水下视觉普查中的观测器偏差和检测概率

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摘要

Underwater visual census (UVC) is one of the more frequently used methods for monitoring of subtidal fish communities. However, population estimates from UVC are plagued by numerous biases that ultimately reduce the diagnostic power of the data. Adaptations to methods that account for detection errors by employing multiple observers can reduce many of these biases, but have received little consideration in past marine research. In the terrestrial environment the double-observer method has been successfully applied to estimate visibility bias, observer bias and detection probabilities. We used an independent double-observer method to measure the influence of observer type (volunteers and researchers) and fish community structure on the detection probability and count dissimilarity between two observers simultaneously surveying the same transect. Community data collected by volunteers were of a consistently lower quality than that collected by researchers. However, this was not the case for the dominant species for which researchers and volunteers produced similar data. The analysis further suggested that rare species contributed disproportionately to the bias in UVC data because the abundance of a species within a survey area determined its detection probability. Our results highlight the need to account for detection probability during UVC and it is recommended that future research based on UVC integrates an independent double-observer approach. Furthermore, the results indicate that care needs to be taken when designing monitoring programmes as allowing inexperienced volunteers to participate can undermine the integrity of the data.
机译：水下视觉普查（UVC）是监测潮下鱼类群落的最常用方法之一。但是，UVC的人群估计值受到许多偏见的困扰，这些偏见最终会降低数据的诊断能力。通过雇用多个观察员来适应解决检测错误的方法，可以减少许多此类偏差，但在过去的海洋研究中却很少考虑。在陆地环境中，双观测器方法已成功应用于估计可见性偏差，观察者偏差和检测概率。我们使用独立的双重观察者方法来测量观察者类型（志愿者和研究人员）和鱼类群落结构对检测概率的影响，并计算同时观察同一样带的两个观察者之间的相异性。志愿者收集的社区数据质量始终低于研究人员收集的质量。然而，对于研究人员和志愿者产生相似数据的优势物种却不是这样。分析进一步表明，稀有物种对UVC数据的偏向贡献不成比例，因为调查区内物种的丰富程度决定了其检测概率。我们的结果强调需要考虑UVC期间的检测概率，建议基于UVC的未来研究应结合独立的双观察者方法。此外，结果表明，在设计监控程序时需要谨慎，因为让缺乏经验的志愿者参与可能会破坏数据的完整性。

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    A.T.F. Bernard; A. Goetz; S.E. Kerwath; C.G. Wilke;

  • 作者单位

    Zoology and Entomology Department, Rhodes University, Grahamstown, 6139, South Africa,Elwandle Node, South African Environmental Observation Network (SAEON), Grahamstown, 6139, South Africa;

    Elwandle Node, South African Environmental Observation Network (SAEON), Grahamstown, 6139, South Africa,Zoology Department, Nelson Mandela Metropolitan University, Port Elizabeth, 6031, South Africa;

    Line-Fish Research Division, Department of Agriculture, Forestry, and Fisheries, Cape Town, South Africa,Zoology Department, University of Cape Town, Cape Town, South Africa;

    Line-Fish Research Division, Department of Agriculture, Forestry, and Fisheries, Cape Town, South Africa;

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  • 正文语种 eng
  • 中图分类
  • 关键词

    Double-observer; Observer bias; Rare species; Species detection; UVC; Volunteers;

    机译：双重观察员;观察者偏见;稀有物种;物种检测;UVC;义工;

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