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Observer performance and the effect of ambiguous taxon identification for fixed strip-width dugong aerial surveys

机译:固定带宽儒艮航测的观测器性能和模糊分类单元识别的影响

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摘要

Aerial survey methods for census of wildlife populations are widely used to manage species. There has been considerable research to develop methods to cope with imperfect detection during aerial surveys, however misidentification remains an unresolved but significant issue. Using data from a comprehensive dugong aerial survey of the coastline of the Northern Territory, Australia, we assessed the influence of observer, sighting and environmental variables on probabilities of both observers in double-count, dual-observer teams detecting dugongs and dolphins ('duplicate sighting probability'), the confidence with which observers could distinguish between dugongs and dolphins, and the reliability of post-detection observations by comparing data between observers. Dolphin duplicate sighting probability varied dependent on group size, Beaufort sea state and the lateral position inside the strip-width transect in relation to the aircraft. Dugong duplicate sighting probability varied across dual-observer teams. Counts of individuals in dugong and dolphin groups were unreliable past approximate to 5 individuals. Observer confidence in taxon identification varied by individual observer and throughout the duration of the survey (dolphin sightings) and potentially by the lateral position inside the transect strip-width in relation to the aircraft (dugong sightings). The probability of taxon identification disagreement between observers for duplicate dugong and dolphin sightings varied with group size, and markedly if one observer was uncertain (i.e. not 100% confident) of their assigned taxon. We believe this is predominately due to the presence of Australian snubfin dolphins (Orcaella heinsohni) in the survey area, which look like dugongs when seen from a distance, momentarily. We further show that application of different data filtering scenarios for uncertain taxonomic identifications and taxon identification disagreements between dual observers produces highly variable estimates of observer-specific dugong detection probability (ranging from 0.26 to 0.80 in a single observer) and dugong abundance ((x) over bar +/- S.D., 40% +/- 25%: difference between highest and lowest estimate, relative to the lowest estimate, across different data filtering scenarios). These results are particularly relevant not only to researchers conducting dugong aerial surveys, but also for other marine mammal aerial surveys in passing mode that target sympatric, morphologically similar species. We recommend development of operating procedures and analytical methods to quantify and adjust for misidentification and uncertain taxon identifications.
机译:用于野生动植物种群普查的航测方法被广泛用于管理物种。已经进行了大量研究以开发用于应对在航空勘测中不完善的检测的方法,但是,误识别仍然是一个尚未解决的重要问题。利用澳大利亚北部领土海岸线的儒艮航空综合调查数据,我们评估了双数,双观察员团队在检测儒艮和海豚的过程中观察者,目击和环境变量对两名观察者概率的影响(重复观测概率”),观察者可以区分儒艮和海豚的置信度,以及通过比较观察者之间的数据进行检测后观察的可靠性。海豚重复瞄准的机率取决于组的大小,Beaufort的海况以及带状横断面内部相对于飞机的横向位置。儒艮重复瞄准的机率在双观察员团队中有所不同。在过去的大约5个人中,儒艮和海豚组中的个人计数不可靠。观察者对分类单元识别的信心因个人观察者和整个调查期间(海豚目击事件)的不同而不同,并且可能因样带宽度相对于飞机的横向位置(独贡目击事件)而异。观察者之间重复发现儒艮和海豚的目击者之间的分类识别异议的概率随组的大小而变化,并且如果一个观察者不确定(即不是100%的信心)其分配的分类单元,则显着不同。我们认为这主要归因于调查区域中存在澳大利亚金丝雀海豚(Orcaella heinsohni),从远处看时,它们看起来像儒艮。我们进一步表明,对于不确定的生物分类识别和双重观察者之间的分类群识别分歧,应用不同的数据过滤方案会产生特定于观察者的儒艮检测概率(在单个观察者中为0.26至0.80)和儒艮丰度((x)超过±+/- SD,40%+/- 25%:在不同的数据过滤方案中,最高和最低估算值之间的差异,相对于最低估算值)。这些结果不仅与进行儒艮航拍的研究人员特别相关,而且与以同胞,形态相似的物种为目标的通过方式的其他海洋哺乳动物航拍特别相关。我们建议开发操作程序和分析方法,以量化和调整误识别和不确定的分类单元识别。

著录项

  • 来源
    《Journal of Experimental Marine Biology and Ecology》 |2020年第5期|151338.1-151338.12|共12页
  • 作者

  • 作者单位

    Ecol Marine Serv Pty Ltd 2-3 Thomsen St Milibank Qld 4670 Australia|Univ Copenhagen GLOBE Inst Copenhagen Denmark;

    Dept Environm & Nat Resources POB 496 Palmerston NT 0831 Australia;

    Dept Environm & Nat Resources POB 496 Palmerston NT 0831 Australia|Charles Darwin Univ Res Inst Environm & Livelihoods Casuarina NT 0909 Australia;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Abundance estimation; Taxon misidentification; Uncertain taxon identification;

    机译:丰度估算;分类单元识别错误;不确定的分类单元识别;

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