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首页> 外文期刊>Journal of great lakes research >Comparing methods for estimating larval sea lamprey (Petromyzon marinus) density in the St. Marys River for the purposes of control
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Comparing methods for estimating larval sea lamprey (Petromyzon marinus) density in the St. Marys River for the purposes of control

机译：为了控制目的估算圣玛丽河中幼鱼海鳗（Petromyzon marinus）密度的比较方法

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摘要

The St. Marys River is a major producer of parasitic sea lampreys (Petromyzon marinus) to Lake Huron making it an important area for larval control. Bayluscide treatments are conducted in areas of high larval density requiring density estimation at fine spatial scales to inform treatment decisions. We evaluated six methods of estimating spatially specific density including the currently used sampling-based estimates, a generalized linear model (GLM) based on mean larval density per plot, a GLM based on larval density per sample, a generalized additive model based on mean larval density per plot, a spatial age-structured population model, and a hybrid approach, which averaged the best performing sampling- and model-based methods. Methods were evaluated based on accuracy in matching independent validation data. Specifically, the methods were evaluated based on their ability to project plot-level larval density, identify high density plots for treatment, and rank plots in order based on density resulting in high numbers of sea lampreys killed per hectare treated. Performance was variable, and no single method outperformed the others for all metrics. Although the sampling-based estimation method and the GLM based on catch data performed adequately for estimating density and identifying high density plots, the hybrid approach was identified as the best method to inform sea lamprey control decisions in the St. Marys River due to its consistent performance. Incorporating model-based approaches should lead to a more efficient and effective treatment program in the St. Marys River and aid in making decisions about the allocation of control resources.
机译：圣玛丽斯河是休伦湖寄生海七lamp（Petromyzon marinus）的主要产地，因此成为控制幼虫的重要地区。在高幼虫密度的地区进行Bayluscide处理，需要在精细的空间尺度上进行密度估算以告知处理决策。我们评估了六种估计空间比密度的方法，包括当前使用的基于采样的估计，基于每个图的平均幼虫密度的广义线性模型（GLM），基于每个样本的幼虫密度的GLM，基于平均幼虫的广义加性模型每个样地的密度，空间年龄结构的人口模型以及混合方法，该方法对表现最佳的基于抽样和基于模型的方法进行平均。根据匹配独立验证数据的准确性评估方法。具体而言，根据这些方法对地块级幼虫密度的预测能力，确定高密度地块进行处理并基于密度对等级进行排序的能力进行评估，这些密度导致每公顷被处理的海七lamp鳗死亡数量众多。性能是可变的，在所有指标上，没有任何一种方法能胜过其他方法。尽管基于采样的估计方法和基于捕获数据的GLM在估计密度和识别高密度图块方面表现良好，但由于混合方法的一致性，它被认为是告知圣玛丽河南南鳗控制决策的最佳方法性能。纳入基于模型的方法应导致在圣玛丽斯河上制定更有效的治疗方案，并有助于做出有关控制资源分配的决策。

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  • 来源
    《Journal of great lakes research》 |2014年第3期|739-747|共9页
  • 作者

    Jason M. Robinson; Michael J. Wilberg; Jean V. Adams; Michael L. Jones;

  • 作者单位

    Chesapeake Biological Laboratory, University of Maryland Center for Environmental Science, P.O. Box 38, Solomons, MD 20688, USA,New York State Department of Environmental Conservation, Lake Erie Fisheries Research Unit, 178 Point Drive North, Dunkirk, NY 14048, USA;

    Chesapeake Biological Laboratory, University of Maryland Center for Environmental Science, P.O. Box 38, Solomons, MD 20688, USA;

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

    Department of Fisheries and Wildlife, Michigan State University, 13 Natural Resources Building, East Lansing, MI 48824, USA;

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  • 正文语种 eng
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  • 关键词

    Generalized linear models; Generalized additive models; St. Marys River; Great Lakes; Sea lamprey;

    机译：广义线性模型;广义加性模型;圣玛丽斯河;五大湖;海南lamp;

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