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（P〈0.05）,而其余4种估值结果并无显著性差异（P〉0.05）;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。
Estimation of average catch per unit effort（ CPUE） which is a relative index to measure fish abundance is important foundational work for stock assessment and fishery management. Based on the data of Larimichthys polyactis collected from the bottom trawl survey conducted in the East China Sea from 2004 to 2006,we calculated the average stock density of L. polyactis by arithmetic mean estimator（ AM）,resampling mean estimator（ RM）,lognormal distribution mean estimator（ LM）,Δ-distribution mean estimator（ DM） and Finney-Sichel mean estimator（ FM）,and evaluated the superiority（ or inferiority） and robustness of different estimators.Results indicate that the mean estimators based on lognormal distribution were bigger than the last two estimators,and the Δ-distribution mean estimator was the biggest one,while the last two estimators were much closer. The paired-sample t test reveals that the Δ-distribution mean estimator was bigger than the other four estimators（ P〈0. 05）; meanwhile,there was no difference among the other four estimators（ P〉0. 05）. The coefficient variation（ CV） of the Δ-distribution mean estimator and the resampling mean estimator were less than the other three estimators. It is concluded that Δ-distribution mean estimator was the best estimation method with good applicability and robustness.
出处
《南方水产科学》
CAS
CSCD
北大核心
2014年第6期20-26,共7页
South China Fisheries Science
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)
关键词
东海区
小黄鱼
资源密度
对数正态分布
变异系数
the East China Sea
Larimichthys polyactis
stock density
lognormal distribution
coefficient variation
