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Can a Rapid Underwater Video Approach Enhance the Benthic Assessment Capability of the National Coastal Condition Assessment in the Great Lakes?

机译:快速水下视频方法能否增强大湖区国家沿海状况评估的底栖评估能力?

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摘要

Over 400 sites were sampled in the nearshore of the U.S. Great Lakes during the U.S. National Coastal Condition Assessment (NCCA) field survey in summer 2010. Underwater video images were recorded in addition to routine NCCA benthic assessment measures. This paper has two objectives: (1) to develop a process to evaluate video performance with acceptance criteria, exploring reasons for poor images, and (2) to use acceptable videos in an example application with invasive mussels, evaluating the enhancement potential of video to supplement traditional grab sampling. A standard hierarchical protocol was developed to rank video performance based on quality and clarity. We determined controllable and uncontrollable factors affecting video performance. Moreover, specific thresholds limiting video were identified: >0.5/m for light extinction and >3.5 μg/L for chlorophyll a concentration. To demonstrate the utility and enhancement potential of video sampling, observed dreissenid presence from excellent (221 of 362 videos) videos was compared with NCCA benthic taxonomy, in the context of the statistically based NCCA survey. Including video increased the overall area estimate of the U.S. Great Lakes nearshore with invasive mussels by about 15 % compared to PONAR alone; 44 % (7570 km~2) of the surveyed region had mussels. The proportion of the nearshore area having mussels varied from low (3.5 %) in Lake Superior to >50 % in the lower lakes. PONAR and video have unique strengths and weaknesses as sampling tools in the Great Lakes nearshore environment, but when paired were complimentary and thus provided a more thorough benthic condition assessment at lake and regional scales.
机译:在2010年夏季进行的美国国家沿海条件评估(NCCA)现场调查期间,在美国大湖沿岸采样了400多个站点。除了常规的NCCA底栖评估措施外,还记录了水下视频图像。本文有两个目标:(1)开发一种以接受标准评估视频性能的过程,探索图像质量差的原因,(2)在具有侵入性贻贝的示例应用程序中使用可接受的视频,评估视频增强视频的潜力补充传统抓样。开发了标准的分层协议以根据质量和清晰度对视频性能进行排名。我们确定了影响视频性能的可控和不可控因素。此外,确定了限制视频的特定阈值:光消光> 0.5 / m,叶绿素a浓度>3.5μg/ L。为了证明视频采样的实用性和增强潜力,在基于统计的NCCA调查的背景下,将优秀视频(362个视频中的221个)中观察到的苔藓样生物与NCCA底栖生物分类法进行了比较。与仅PONAR相比,包含视频在内的美国大湖地区的侵入性贻贝的总面积估计增加了约15%;被调查区域的44%(7570 km〜2)有贻贝。贻贝的近岸区域所占比例从苏必利尔湖的低(3.5%)到下游湖的> 50%不等。 PONAR和视频作为大湖近岸环境中的采样工具具有独特的优势和劣势,但是当配对使用时,它们是互补的,因此可以在湖泊和区域范围内提供更彻底的底栖条件评估。

著录项

  • 来源
    《Environmental Management》 |2015年第6期|1446-1456|共11页
  • 作者单位

    Mid-Continent Ecology Division, National Health and Environmental Effects Research Laboratory, U.S. Environmental Protection Agency, Office of Research and Development, 6201 Congdon Boulevard, Duluth, MN 55804, USA,ORISE (Oak Ridge Institute for Science and Education) Participant, Oak Ridge, TN, USA;

    Mid-Continent Ecology Division, National Health and Environmental Effects Research Laboratory, U.S. Environmental Protection Agency, Office of Research and Development, 6201 Congdon Boulevard, Duluth, MN 55804, USA;

    Mid-Continent Ecology Division, National Health and Environmental Effects Research Laboratory, U.S. Environmental Protection Agency, Office of Research and Development, 6201 Congdon Boulevard, Duluth, MN 55804, USA;

    Mid-Continent Ecology Division, National Health and Environmental Effects Research Laboratory, U.S. Environmental Protection Agency, Office of Research and Development, 6201 Congdon Boulevard, Duluth, MN 55804, USA;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Underwater video; National coastal condition assessment; Benthic condition; Dreissenid mussels; PONAR;

    机译:水下录像;国家沿海状况评估;底栖条件;Dreissenid贻贝;庞纳;

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