CAJ | 학술논문

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（ Larim-ichthys 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。
단위포로노력어획량（ catch per unit effort，CPUE）시형량자원봉도적상대지표，기균치적고산시어업자원평고여관리중일항겁위중요적기출성공작。문장이2004년~2006년동해구저타망대면정점조사어획적소황어（ Larim-ichthys polyactis）위례，이용산술평균치법、중추양고치법、대수정태분포법、Δ-분포적최소방차무편고계법화Finney-Sichel고치법분별대소황어자원밀도수거진행표준화처리，병평고불동방법적상대우렬성화은건성。결과표명，기우대수정태분포적3충방법적균치고치교대，우이Δ-분포법최대，이산술평균치법화중추양고치법고치교소，차균치교접근；량량배대양본t검험현시，Δ-분포법적고치현저고우기타방법적결과（ P﹤0.05），이기여4충고치결과병무현저성차이（P＞0.05）；Δ-분포법화중추양고치법적변이계수교접근，균소우기타결과；결합소황어공간분포적특정급대면적조사자신특점，Δ-분포법피인위시5충고치방법중괄용성화은건성최호적방법。
Estimation of average catch per unit effort( CPUE)which is a relative index to measure fish abundance is important founda-tional 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 theΔ-distribu-tion mean estimator was the biggest one,while the last two estimators were much closer. The paired-sample t test reveals that theΔ-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 theΔ-distribution mean estimator and the resampling mean estimator were less than the other three estimators. It is concluded thatΔ-distribution mean estimator was the best estimation method with good applicability and robustness.