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黄河口两种鱼类资源密度不同估算方法的比较
引用本文:刘健,张崇良,薛莹,徐宾铎,任一平.黄河口两种鱼类资源密度不同估算方法的比较[J].中国水产科学,2017,24(4):845-852.
作者姓名:刘健  张崇良  薛莹  徐宾铎  任一平
作者单位:中国海洋大学 水产学院,山东 青岛,266003
基金项目:公益性行业(农业)科研专项经费资助项目(201303050)
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。

关 键 词:资源密度  资源评估  ?-分布模型  黄河口
修稿时间:2017/7/21 0:00:00

Comparative study on two methods for estimating fishery resource density for two species from Yellow River Estuary
LIU Jian,ZHANG Chongliang,XUE Ying,XU Binduo,REN Yiping.Comparative study on two methods for estimating fishery resource density for two species from Yellow River Estuary[J].Journal of Fishery Sciences of China,2017,24(4):845-852.
Authors:LIU Jian  ZHANG Chongliang  XUE Ying  XU Binduo  REN Yiping
Institution:Fisheries College, Ocean University of China, Qingdao 266003, China
Abstract:Fishery resource density is a key indicator for assessing resource status and is commonly estimated us-ing bottom trawl survey data. Because of the non-uniform distribution of marine organisms, bottom trawl data always contain extreme values (zeros or very large values), which will affect the accuracy and precision of the estimate of resource density. In order to decrease the effect of extreme values on the estimation of resource density, the ?-distribution model was used when analyzing trawl survey data for Chaeturichthys stigmatias and Cynoglos-sus joyneri in the Yellow River estuary between 2013 and 2014.The estimate of the mean resources density using the model-based method and that using the designed-based method was compared, and the effect of the quantity and distribution of survey data on the results for the ?-distribution model method was also discussed. With respect to survey data for C. stigmatias in August and October, the density estimated using the model-based method was lower than that using the design-based method, while the densities estimated using the model-based method were higher than those using the design-based method for other data sets. The quantity and distribution characteristics of survey data might be important factors affecting assessment results using the ?-distribution model. Variance estimated using the model-based method was much less than that estimated using the design-based method for all data for the two species in different months. Zero and maximum-value data had different effects on the estimation of resource density using the ?-distribution model method; the model was robust when dealing with survey data with high stability and precision.
Keywords:resources density  stock assessment  ?-distribution model  the Yellow River Estuary
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