基于有限混合模型的山东海域口虾蛄群体体长结构分析
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作者单位:

中国海洋大学水产学院

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中图分类号:

S931

基金项目:

国家重点研发计划资助(2018YFD0900904,2018YFD0900906)


The Population Length Structure Analysis of Oratosquilla oratoria in the marine area of Shandong Based on Finite Mixture Model
Author:
Affiliation:

College of Fisheries, Ocean University of China

Fund Project:

Supported by the National Key R&D Program of China (2018YFD0900904,2018YFD0900906)

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    摘要:

    【目的】个体大小是渔业资源种群的重要结构特征,一般研究中采用平均个体体长或平均体重等分析指标,难以充分反应具有多年龄结构和个体生长速度差异的种群组成差异。为了研究口虾蛄个体大小组成的时空变化,【方法】本研究根据山东海域2016年10月和2017年1、5、8月的底拖网调查数据,应用有限混合模型分析了不同时间、不同水深口虾蛄个体大小的频率分布特征。【结果】研究表明,除秋季外,山东海域口虾蛄均可区分为高、低两个年龄组,同时雌雄体长分布具有一定的差异。从冬季到夏季,雌性口虾蛄中低龄组个体比例先下降后上升,雄性口虾蛄低龄比例则逐渐下降。就不同水深而言,口虾蛄低龄组个体主要集中在近海海域,其比例由近海向远海逐渐减小。各年龄组的近远海分布表现出季节性差异,春季高龄口虾蛄在近海比例最大,由近海向远海比例逐渐减小;夏季高龄组口虾蛄比例在20-30米水深比例最大;冬季高龄组口虾蛄比例则由近海向远海逐渐增加。【结论】本文初步解析了口虾蛄不同年龄组在山东海域的时空分布,研究结果对于深入了解口虾蛄种群分布动态和科学的渔业管理具有重要意义。

    Abstract:

    Individual length frequency is an important structural feature of fishery resource population. Generally, analytical indicators such as average individual body length or average body weight are used in studies, which is difficult to fully reflect the population composition differences with multiple age structures and different individual growth rate. These study analyzed the temporal and spatial variation of individual size composition of Oratosquilla oratoria, according to the bottom trawl survey data collected in October 2016 and January, May and August 2017 in the marine area of Shandong, using the Finite mixture model to analyzed the length frequency distribution characteristics of individual size of O. oratoria with different time and depths. The research shows that, the O. oratoria in the marine area of Shandong can be distinguished as high and low age cohorts except autumn, and there is a certain difference in the distribution of male and female body length. The proportion of female O. oratoria in the low age cohorts decreased first and then increased from winter to summer, while the proportion of male O. oratoria decreased gradually. In terms of different depths, the individuals in the low age cohorts are mainly concentrated in the offshore areas, and the proportion decreases gradually from offshore to the open sea. The distribution of age cohorts showed seasonal differences. In spring, the proportion of O. oratoria in high age cohort was the largest in the offshore area, and the proportion gradually decreased from offshore to open sea. The percentage of O. oratoria in the high age cohort in summer was the highest in water depth of 20-30 meters. The percentage of O. oratoria in the high age cohort in winter increased gradually from offshore to open sea. This paper preliminarily analyzed the temporal and spatial distribution of O. oratoria in different age cohorts in the marine area of Shandong, and the research results are of great significance for in-depth understanding of population distribution dynamics and scientific fishery management.Previous studies on the size composition of O. oratoria were only grouped according to the size of body length, ignoring the differences in the growth rate among individuals of different O. oratoria, and there might be overlap of body length frequency among different age groups. Therefore, a Finite Mixture Model was used in this study to divide the body length frequency of O. oratoria into subgroups of different sources (different age groups) according to the statistical test results. This is a new exploration of the distribution of O. oratoria resources. In future studies, the proportion of different age cohort obtained by the Finite Mixture Model can be used to infer the spawning area of O. oratoria. Meanwhile, the distribution of different age cohorts of O. oratoria can be studied in depth by combining Lipofuscin analysis. It is of great significance to fully understand the temporal and spatial changes of O. oratoria distribution, and is helpful for the scientific development and management of O. oratoria resources.

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耿玉玲,张崇良,栾静,徐宾铎,薛莹,任一平.基于有限混合模型的山东海域口虾蛄群体体长结构分析[J].水产学报,2020,44(10):1663~1675

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  • 收稿日期:2019-09-02
  • 最后修改日期:2020-01-26
  • 录用日期:2020-03-23
  • 在线发布日期: 2020-11-06
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