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首页> 外文期刊>Journal of great lakes research >Designing long-term fish community assessments in connecting channels: Lessons from the Saint Marys River
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Designing long-term fish community assessments in connecting channels: Lessons from the Saint Marys River

机译:在连接渠道中设计长期鱼类群落评估:圣玛丽河的教训

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摘要

Long-term surveys are useful in understanding trends in connecting channel fish communities; a gill net assessment in the Saint Marys River performed periodically since 1975 is the most comprehensive connecting channels sampling program within the Laurentian Great Lakes. We assessed efficiency of that survey, with intent to inform development of assessments at other connecting channels. We evaluated trends in community composition, effort versus estimates of species richness, ability to detect abundance changes for four species, and effects of sub-sampling yellow perch catches on size and age-structure metrics. Efficiency analysis revealed low power to detect changes in species abundance, whereas reduced effort could be considered to index species richness. Sub-sampling simulations indicated that subsampling would have allowed reliable estimates of yellow perch (Perca flavescens) population structure, while greatly reducing the number of fish that were assigned ages. Analyses of statistical power and efficiency of current sampling protocols are useful for managers collecting and using these types of data as well as for the development of new monitoring programs. Our approach provides insight into whether survey goals and objectives were being attained and can help evaluate ability of surveys to answer novel questions that arise as management strategies are refined.
机译:进行长期调查有助于了解连接渠道鱼类群落的趋势;自1975年以来定期进行的圣玛丽河g网评估是Laurentian大湖区中最全面的连通河道采样程序。我们评估了该调查的效率,旨在为其他连接渠道的评估提供信息。我们评估了群落组成的趋势,物种数量的估计值与工作量的对比,检测四种物种的丰度变化的能力以及对黄色鲈鱼捕获量的二次采样对大小和年龄结构指标的影响。效率分析显示,检测物种丰富度变化的能力较低,而可以考虑减少工作量来指示物种丰富度。二次抽样模拟表明,二次抽样可以对黄鲈(Perca flavescens)种群结构进行可靠的估计,同时大大减少了指定年龄的鱼类数量。当前采样协议的统计能力和效率分析对于管理人员收集和使用这些类型的数据以及开发新的监视程序很有用。我们的方法可以洞悉是否达到了调查目的和目标,并且可以帮助评估调查回答因管理策略完善而出现的新问题的能力。

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  • 来源
    《Journal of great lakes research》 |2014年第2期|15-22|共8页
  • 作者单位

    U. S. Geological Survey Great Lakes Science Center, 1451 Green Road, Ann Arbor, MI 48105, USA;

    U. S. Geological Survey Great Lakes Science Center, 1451 Green Road, Ann Arbor, MI 48105, USA;

    Michigan Department of Natural Resources and Environment, Alpena Fisheries Research Station, 160 E. Fletcher St., Alpena, MI 49707, USA;

    Michigan Department of Natural Resources and Environment, Northern Lake Huron Management Unit, 1732 W. M-32, Gaylord, MI 49735, USA;

    U. S. Fish and Wildlife Service, Alpena Fish and Wildlife Conservation Office, 24 W. Fletcher St., Alpena, MI 49707, USA;

    Fisheries and Oceans Canada, Great Lakes Laboratory for Fisheries and Aquatic Sciences, 1 Canal Drive, Sault Ste. Marie, ON P6A 6W4, Canada;

    Ontario Ministry of Natural Resources, 1235 Queen St., Sault Ste. Marie, ON P6A 2E5, Canada;

    Chippewa/Ottawa Resource Authority, 179 W. Three Mile Rd., Sault Ste. Marie, MI 49783, Canada;

    Chippewa/Ottawa Resource Authority, 179 W. Three Mile Rd., Sault Ste. Marie, MI 49783, Canada;

    Chippewa/Ottawa Resource Authority, 179 W. Three Mile Rd., Sault Ste. Marie, MI 49783, Canada;

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

    Saint Marys River; Long-term data; Cisco; Northern pike; Walleye; Yellow perch;

    机译:圣玛丽河;长期数据;思科北部派克角膜白斑;黄鲈;

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