基于底拖网调查的东海区小黄鱼资源密度不同估算方法差异比较

发布时间：2018-11-06 16:43

【摘要】：单位捕捞努力渔获量(catch per unit effort,CPUE)是衡量资源丰度的相对指标,其均值的估算是渔业资源评估与管理中一项极为重要的基础性工作。文章以2004年~2006年东海区底拖网大面定点调查渔获的小黄鱼(Larimichthys polyactis)为例,利用算术平均值法、重抽样估值法、对数正态分布法、Δ-分布的最小方差无偏估计法和Finney-Sichel估值法分别对小黄鱼资源密度数据进行标准化处理,并评估不同方法的相对优劣性和稳健性。结果表明,基于对数正态分布的3种方法的均值估值较大,尤以Δ-分布法最大,而算术平均值法和重抽样估值法估值较小,且均值较接近;两两配对样本t检验显示,Δ-分布法的估值显著高于其他方法的结果(P0.05),而其余4种估值结果并无显著性差异(P0.05);Δ-分布法和重抽样估值法的变异系数较接近,均小于其他结果;结合小黄鱼空间分布的特征及大面积调查自身特点,Δ-分布法被认为是5种估值方法中适用性和稳健性最好的方法。
[Abstract]:(catch per unit effort,CPUE) is a relative index to measure the abundance of resources, and the estimation of its mean value is an extremely important basic work in the assessment and management of fishery resources. Taking the (Larimichthys polyactis) of small yellow croaker caught in the bottom trawl of East China Sea from 2004 to 2006 as an example, the arithmetic average method, the method of re-sampling and the method of lognormal distribution are used. The minimum variance unbiased estimation method and Finney-Sichel estimation method of 螖-distribution were used to standardize the resource density data of small yellow croaker, and the relative merits and robustness of different methods were evaluated. The results show that the mean value of the three methods based on the logarithmic normal distribution is larger, especially the 螖-distribution method is the largest, while the arithmetic mean value method and the re-sampling estimation method are smaller, and the mean value is close to each other. T test of pairwise paired samples showed that the 螖-distribution method was significantly higher than that of other methods (P0.05), while the other four valuation results had no significant difference (P0.05). The coefficient of variation of 螖 -distribution method and re-sampling estimation method are close and smaller than other results. According to the spatial distribution of small yellow croaker and the characteristics of large area investigation, 螖-distribution method is considered to be the most suitable and robust of the five valuation methods.
【作者单位】：中国水产科学研究院东海水产研究所农业部东海与远洋渔业资源开发利用重点实验室;
【基金】：农业部近海资源监测和调查专项(2009-2013) 公益性行业(农业)科研专项经费项目(201303047)
【分类号】：S932.4

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