黄河口两种鱼类资源密度不同估算方法的比较

发布时间：2018-05-11 01:05

本文选题：资源密度 + 资源评估　；参考：《中国水产科学》2017年04期

【摘要】：以黄河口海域矛尾虾虎鱼(Chaeturichthys stigmatias)和短吻红舌鳎(Cynoglossus joyneri)两种鱼类为例,根据2013、2014年间4个季节月的调查数据,将Δ-分布模型法用于底拖网数据处理,比较基于模型和基于调查设计的两种方法在估算平均资源密度方面的差异,并初步探讨了影响Δ-分布模型法评估效果因素。结果表明,对于8月和10月的矛尾虾虎鱼调查数据,模型法估计的资源密度值小于设计法的估计值,根据其余6组数据计算的资源密度均为模型法更高,数据量和数据分布特征可能是影响Δ-分布模型评估结果的重要因素;8组数据计算所得方差模型法均明显低于设计法;极大值和零值对Δ-分布模型的评估结果有不同的影响。Δ-分布模型是一个稳健的模型,处理数据波动性更小,估计值具有更高的精确度,是一种适于底拖网数据处理和资源评估的模型。
[Abstract]:Taking the two species of Chaeturichthys stigmatias and Cynoglossus joyneri in the Yellow River Estuary as an example, according to the survey data of the 4 seasons of the 20132014 years, the delta distribution model method is applied to the bottom trawl data processing, and the average resource density based on the model and the two methods based on the investigation and design is compared. The results show that the resource density estimated by the model method is less than that of the design method in August and October, and the resource density calculated according to the other 6 groups is higher than the model method, and the data quantity and data distribution feature can be found. It is an important factor affecting the evaluation results of the delta distribution model; the 8 groups of data calculated variance model method are obviously lower than the design method. The maximum and zero values have different effects on the evaluation results of the delta distribution model. The delta distribution model is a robust model, the processing data is less volatile and the estimated value has a higher accuracy, it is a kind of model. A model suitable for bottom trawl data processing and resource assessment.

【作者单位】：中国海洋大学水产学院;
【基金】：公益性行业(农业)科研专项经费资助项目(201303050)
【分类号】：S932.4

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