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首页> 外文期刊>ICES Journal of Marine Science >Correcting density-dependent effects in abundance estimates from bottom-trawl surveys
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Correcting density-dependent effects in abundance estimates from bottom-trawl surveys

机译：纠正海底拖网调查的丰度估计中与密度有关的效应

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摘要

Indices of abundance are important for estimating population trends in stock assessment and ideally should be based on fishery-independent surveys to avoid problems associated with the hyperstability of the commercial catch per unit effort (cpue) data. However, recent studies indicate that the efficiency of the survey bottom trawl (BT) for some species can be density-dependent, which could affect the reliability of survey-derived indices of abundance. A function q_e～f(u), where q_e is the BT efficiency and u the catch rate, was derived using experimentally derived acoustic dead-zone correction and BT efficiency parameters obtained from combining a subset of BT catch data with synchronously collected acoustic data from walleye pollock (Theragra chalcogramma) in the eastern Bering Sea (EBS). We found that q_e decreased with increasing BT catches resulting in hyperstability of the index of abundance derived from BT survey. Density-dependent q_e resulted in spatially and temporarily variable bias in survey cpue and biased population age structure derived from survey data. We used the relationship q_e～f(u) to correct the EBS trawl survey index of abundance for density-dependence. We also obtained a variance-covariance matrix for a new index that accounted for sampling variability and the uncertainty associated with the q_e. We found that incorporating estimates of the new index of abundance changed outputs from the walleye pollock stock assessment model. Although changes were minor, we advocate incorporating estimates of density-dependent q_e into the walleye pollock stock assessment as a precautionary measure that should be undertaken to avoid negative consequences of the density-dependent qe.
机译：丰度指标对于估算种群评估中的人口趋势非常重要，并且理想情况下应基于独立于渔业的调查，以避免与每单位工作量（cpue）数据的商业捕捞量超高稳定性相关的问题。但是，最近的研究表明，某些物种的调查拖网（BT）的效率可能与密度有关，这可能会影响调查得出的丰度指数的可靠性。函数q_e〜f（u），其中q_e是BT效率，u捕获率，是使用实验得出的声学死区校正和BT效率参数得出的，该参数是通过将BT捕获数据的子集与同步收集的声学数据组合而获得的白令海东部（EBS）的角膜白poll（Theragra chalcogramma）。我们发现q_e随着BT捕获量的增加而降低，从而导致从BT调查得出的丰度指数的超稳定性。依赖密度的q_e导致调查线索的空间和临时变量偏差以及根据调查数据得出的人口年龄结构偏差。我们使用关系q_e〜f（u）来校正EBS拖网调查的丰度指数，以获得密度依赖性。我们还获得了一个新的指标的方差-协方差矩阵，该矩阵考虑了采样方差和与q_e相关的不确定性。我们发现，合并新的丰度指数的估计会改变角膜白鳕种群评估模型的输出。尽管变化很小，但我们主张将密度依赖性q_e的估计值合并到角膜白鳕种群评估中，作为一项预防措施，应避免密度依赖性qe的负面影响。

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  • 来源
    《ICES Journal of Marine Science》 |2014年第5期|1107-1116|共10页
  • 作者

    Stan Kotwicki; James N. lanelli; Andre E. Punt;

  • 作者单位

    National Marine Fisheries Service, Alaska Fisheries Science Center, National Oceanic and Atmospheric Administration, 7600 Sand Point Way NE, Seattle, WA 98115, USA,School of Fishery and Aquatic Sciences, University of Washington, Box 355020, Seattle, WA 98195, USA;

    National Marine Fisheries Service, Alaska Fisheries Science Center, National Oceanic and Atmospheric Administration, 7600 Sand Point Way NE, Seattle, WA 98115, USA;

    School of Fishery and Aquatic Sciences, University of Washington, Box 355020, Seattle, WA 98195, USA;

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  • 正文语种 eng
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  • 关键词

    acoustics; bottom-trawl survey; catchability; catching efficiency; density-dependence;

    机译：声学;拖网调查可捕获性;捕捞效率;密度依赖性;

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