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基于长度贝叶斯生物量估算法的北部湾带鱼资源评估

张曼 王雪辉 王淼娣 杜飞雁 孙典荣 王亮根 王跃中 许柳雄 邱永松

张曼,王雪辉,王淼娣,等. 基于长度贝叶斯生物量估算法的北部湾带鱼资源评估[J]. 海洋学报,2021,x(x):1–11 doi: 10.12284/hyxb2021144
引用本文: 张曼,王雪辉,王淼娣,等. 基于长度贝叶斯生物量估算法的北部湾带鱼资源评估[J]. 海洋学报,2021,x(x):1–11 doi: 10.12284/hyxb2021144
Zhang Man,Wang Xuehui,Wang Miaodi, et al. Assessment of Trichiurus haumela stocks in the Beibu Gulf based on length-based Bayesian biomass estimation method[J]. Haiyang Xuebao,2021, x(x):1–11 doi: 10.12284/hyxb2021144
Citation: Zhang Man,Wang Xuehui,Wang Miaodi, et al. Assessment of Trichiurus haumela stocks in the Beibu Gulf based on length-based Bayesian biomass estimation method[J]. Haiyang Xuebao,2021, x(x):1–11 doi: 10.12284/hyxb2021144

基于长度贝叶斯生物量估算法的北部湾带鱼资源评估

doi: 10.12284/hyxb2021144
基金项目: 国家科技基础资源调查专项(No.2017FY201405,No.218FY100105);中国水产科学研究院基本科研业务费(2019HY-JC0203,2019GH02);中国水产科学研究院南海水产研究所中央级公益性科研院所基本科研业务费专项资金资助(2021SD14);中越北部湾共同渔区联合调查资助
详细信息
    作者简介:

    张曼(1996—),女,硕士研究生,研究方向为渔业生物学与资源评估。E-mail:2721327717@qq.com

    通讯作者:

    王雪辉(1975—),男,博士,副研究员,从事渔业资源调查与评估、渔业生物学等研究。E-mail:wxhscs@163.com

  • 中图分类号: S932.4

Assessment of Trichiurus haumela stocks in the Beibu Gulf based on length-based Bayesian biomass estimation method

  • 摘要: 带鱼是南海西北部北部湾主要经济鱼类种群之一,估算其种群参数和评估其资源状况对北部湾渔业资源管理具有重要意义。本文利用2006—2016年北部湾带鱼(Trichiurus haumela)的生物学数据,通过长度贝叶斯生物量估算法(length-based Bayesian biomass estimation method,LBB)估算带鱼的渐近肛长(Linf)、最适开捕肛长(Lc_opt)、相对自然死亡率(M/k)、相对捕捞死亡率(F/k)、捕捞强度(F/M)和开发率(E),并评估其资源状况(B/B0)。结果为,带鱼的渐近肛长(Linf)为44.4 cm,最适开捕肛长均值(Lc_opt)为28.5 cm,相对死亡率M/kF/k、均值分别为1.32、2.76,捕捞强度(F/M)为2.20,开发率(E)为0.67,相对生物量(B/B0)均值为0.16。经逻辑斯谛曲线拟合,带鱼的平均最小性成熟肛长为28.63 cm。研究表明, 当前北部湾带鱼处于过度开发的状态,现存资源量较低,群体结构趋于简单、呈小型化。
  • 图  1  北部湾底拖网采样站位示意图

    Fig.  1  Sketch map of bottom trawl sampling station in the Beibu Gulf

    图  2  带鱼肛长频率分布

    点表示聚合的长度频率;蓝色曲线表示估算Z/k的初步拟合

    Fig.  2  Interannual variation of frequency distribution of anal length of Trichiurus haumela

    The dots are the aggregated length frequencies;the blue curve is a preliminary fit to estimate Z/k

    图  3  带鱼性成熟比例与肛长拟合的逻辑斯蒂曲线

    黑点表示实际性成熟占比;红点表示初次性成熟;黑线表示预测性成熟占比

    Fig.  3  Logistic models fitted for the relationship between anal length and observed proportion of mature individuals of Trichiurus haumela

    Black dots are the actual ratio of sexual maturity; red dots are the predict the proportion of sexual maturation; black lines are the primary sexual maturation

    表  1  2006—2016年北部湾带鱼肛长组成

    Tab.  1  Anal length composition of T. haumela in the Beibu Gulf from 2006 to 2016

    年份肛长范围/cm肛长均值/cm优势肛长/cm尾数
    2006年3.2~44.021.424.0~24.91140
    2007年6.1~40.020.0940
    2008年13.1~39.522.419.0~25.9147
    2009年16.2~38.021.419.0~20.933
    2010年10.5~42.719.916.0~22.9246
    2011年9.2~31.416.515.0~18.562
    2012年9.2~31.417.112.0~16.7169
    2013年6.6~44.018.917.0~20.9259
    2014年6.1~30.916.812.0~14.9286
    2015年14.7~24.519.517.0~22.590
    2016年10.5~36.418.615.0~19.660
    2006−2016年3.2~44.020.019.0~19.93 432
      注:−代表无优势肛长
    下载: 导出CSV

    表  2  根据LBB估算2006−2016年不同组距带鱼的种群参数及资源状况

    Tab.  2  The population parameters and stock status of different groups of T. haumelawere estimated usingto LBB from 2006 to 2016

    组距/cmLinf/cmLc_opt/cmM/kF/kF/MEB/B0Lmean/LoptLc/Lc_optL95th/Linf
    0.543.9281.581.951.260.550.260.780.670.95
    144.7271.352.712.020.660.150.760.640.95
    1.544.6281.322.922.190.690.130.750.650.96
    244.5311.033.453.340.770.080.730.610.99
    平均值44.428.51.322.762.200.670.160.760.640.96
    变异系数0.0080.060.170.20.390.140.480.030.040.02
      注:Linf : 渐近体长 asymptotic anal length;Lc_opt : 最适开捕肛长 optimal anal length-at-first-capture;k: 生长参数growth parameter;M:自然死亡系数natural mortality;F:捕捞死亡系数 fishing mortality;Z:总死亡系数 total mortality;E:开发率 exploitation rate ;Lmean:渔获物平均长度 the average length of the capture;L95th:95%被渔具保留的长度 length where gear retention is larger than 95%。
    下载: 导出CSV

    表  3  不同海域带鱼的种群参数

    Tab.  3  Population parameters of T. haumela in different sea areas

    海域年份渐近肛长
    Linf/cm
    初次性成熟肛长
    L50%/cm
    自然死亡率
    M/k
    捕捞死亡率
    F/k
    捕捞强度
    F/M
    开发率
    E
    福建海区[36]1976年71.22.282.571.130.53
    福建海区[36]1994年67.82.224.391.980.67
    东海[37]1990−2007年49.81.328.166.190.86
    南海北部[38]1981−1982年62.232.201.320.71
    南海北部[16]1997−1999年70.027.601.449.746.740.87
    北部湾(本文)2006−2016年44.728.631.352.712.510.66
    南海北部[24]2014−2015年58.524.152.383.491.480.59
      注:−表示文献中未找到相应参数。
    下载: 导出CSV
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