Volume 17 Issue 2
Apr.  2021
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WANG Miaodi, WANG Xuehui, SUN Dianrong, WANG Yuezhong, CHEN Xinjun, DU Feiyan, QIU Yongsong. Assessment of Pennahia macrocephalus stock in Beibu Gulf by length Bayesian biomass estimation method[J]. South China Fisheries Science, 2021, 17(2): 20-27. DOI: 10.12131/20200202
Citation: WANG Miaodi, WANG Xuehui, SUN Dianrong, WANG Yuezhong, CHEN Xinjun, DU Feiyan, QIU Yongsong. Assessment of Pennahia macrocephalus stock in Beibu Gulf by length Bayesian biomass estimation method[J]. South China Fisheries Science, 2021, 17(2): 20-27. DOI: 10.12131/20200202
shu

Assessment of Pennahia macrocephalus stock in Beibu Gulf by length Bayesian biomass estimation method

  • 1.

    College of Marine Sciences, Shanghai Ocean University, Shanghai 201306, China

  • 2.

    South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences/Guangdong Provincial Key Laboratory of Fishery Ecology and Environment/ Key Laboratory of Open-Sea Fishery Development, Ministry of Agriculture and Rural Affairs, Guangzhou 510300, China

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  • Received Date: October 11, 2020
  • Revised Date: December 07, 2020
  • Available Online: January 03, 2021
    Graphical Abstract
    • Abstract
  • Pennahia macrocephalus, one of the major commercial fishes in the Beibu Gulf, is of great significance to study its stocks status. Based on the biological data of P. macrocephalus collected in the Beibu Gulf from 2006 to 2014, we estimated the asymptotic body length (L∞), relative natural mortality (M/k), relative fishing mortality (F/k), relative total mortality (Z/k), optimal body length-at-first-capture (Lc_opt), exploitation rate (E) and relative biomass index (B/B0) by the length-based Bayesian biomass estimation method (LBB). Results show that the average L∞ and Lc_opt were 265 mm and 157 mm, respectively, and the relative mortality rates of M/k, F/k and Z/k were 1.39, 3.58 and 4.96, respectively. The Lc_opt of P. macrocephalus showed an increasing trend while the L∞ showed a decreasing trend. At present, the E of P. macrocephalus is relatively high (0.58), indicating the resources have been in the state of overexploited. The B/B0 is less than 0.5, indicating the overexploitation of current stocks.
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    • References (40)
  • [1]
    史登福, 张魁, 陈作志. 基于生活史特征的数据有限条件下渔业资源评估方法比较[J]. 中国水产科学, 2020, 27(1): 12-24.
    [2]
    RANKIN P S, LEMOS R T. An alternative surplus production model[J]. Ecol Model, 2015, 313: 109-126. doi: 10.1016/j.ecolmodel.2015.06.024
    [3]
    冯波, 陈新军, 西田勤. 应用年龄结构产量模型评估印度洋黄鳍金枪鱼资源[J]. 生态学报, 2010, 30(13): 3375-3384.
    [4]
    徐洁, 陈新军, 官文江. 适用于短生命周期种类资源评估模型的研究现状与展望[J]. 海洋湖沼通报, 2015(3): 113-124.
    [5]
    CHRYSAFI A, KUPARINEN A. Assessing abundance of populations with limited data: lessons learned from data-poor fisheries stock assessment[J]. Environ Rev, 2016, 24(1): 25-38. doi: 10.1139/er-2015-0044
    [6]
    PRINCE J, VICTOR S, KLOULCHAD V, et al. Length based SPR assessment of eleven Indo-Pacific coral reef fish populations in Palau[J]. Fish Res, 2015, 171: 42-58. doi: 10.1016/j.fishres.2015.06.008
    [7]
    BOWKER D W. The bias associated with the dispersion of length at age in the estimation of growth and mortality parameters from uni-modal length-frequency data[J]. J Fish Biol, 1996, 49(4): 743-747.
    [8]
    汪文婷, 田思泉, 戴小杰, 等. 中大西洋延绳钓渔业大眼金枪鱼体长频率时空分布[J]. 上海海洋大学学报, 2013, 22(5): 770-777.
    [9]
    FROESE R, WINKER H, CORO G, et al. A new approach for estimating stock status from length frequency data[J]. ICES J Mar Sci, 2018, 75(6): 2004-2015. doi: 10.1093/icesjms/fsy078
    [10]
    BALDE B S, FALL M, KANTOUSSAN J, et al. Fish-length based indicators for improved management of the sardinella fisheries in Senegal[J]. Reg Stud Mar Sci, 2019, 31: 100801. doi: 10.1016/j.rsma.2019.100801
    [11]
    潘澎, 李纯厚, 罗家聪, 等. 中越北部湾捕捞力量变化问题研究[J]. 中国渔业经济, 2016, 34(5): 4-9.
    [12]
    王雪辉, 邱永松, 杜飞雁, 等. 北部湾鱼类多样性及优势种的时空变化[J]. 中国水产科学, 2011, 18(2): 427-436.
    [13]
    袁华荣, 陈丕茂, 贾晓平, 等. 北部湾东北部游泳生物资源现状[J]. 南方水产科学, 2011, 7(3): 31-38.
    [14]
    颜云榕, 侯刚, 卢伙胜, 等. 北部湾大头白姑鱼生长特性及群体组成[J]. 中国海洋大学学报 (自然科学版), 2010, 40(6): 61-68.
    [15]
    苏新红. 聚类分析在石首鱼类分类中的应用[J]. 生物数学学报, 2009, 24(4): 733-740.
    [16]
    YAMADA H, YAMADA U. Descriptive morphology of juvenile stages of two sciaenids, Miichthys miiuy and Pennahia macrocephalus, from the East China Sea[J]. Ichthyol Res, 1999, 46(1): 93-99. doi: 10.1007/BF02674952
    [17]
    SASAKI K. Johnius aneus Bloch, a senior synonym of Pennahia macrophthalmus (Bleeker), with comments on the identity and status of an alleged lectotype of J. aneus (Sciaenidae: Perciformes)[J]. 魚類学雑誌, 1994, 40(4): 498-499.
    [18]
    张其永, 林秋眠, 林尤通, 等. 闽南—台湾浅滩渔场经济鱼类食物网研究 (摘要)[J]. 福建水产科技, 1980(1): 17-18, 21.
    [19]
    陈作志, 邱永松, 黄梓荣. 南海北部白姑鱼生长和死亡参数的估算[J]. 应用生态学报, 2005, 16(4): 712-716.
    [20]
    颜云榕, 侯刚, 卢伙胜, 等. 北部湾斑鳍白姑鱼的年龄与生长[J]. 中国水产科学, 2011, 18(1): 145-155.
    [21]
    何雄波, 陶雅晋, 侯刚, 等. 北部湾斑鳍白姑鱼群体结构特征与时空分布[J]. 广东海洋大学学报, 2015, 35(3): 35-42.
    [22]
    SIEGFRIED K I, SANSO B. Two Bayesian methods for estimating parameters of the von Bertalanffy growth equation[J]. Environ Biol Fish, 2006, 77(3): 301-308.
    [23]
    FROESE R, WINKER H, GASCUEL D, et al. Minimizing the impact of fishing[J]. Fish Fish, 2016, 17(3): 785-802. doi: 10.1111/faf.12146
    [24]
    PLUMMER M. JAGS: a program for analysis of Bayesian graphical models using Gibbs sampling[EB/OL]. [2020-10-12]. https://www.r-project.org/conferences/DSC-2003/Proceedings/Plummer.pdf.
    [25]
    联合国粮食与农业组织. 2018年世界渔业和水产养殖状况—实现可持续发展目标. ISBN 978-92-5-130691-8[R]. 罗马: 联合国粮食及农业组织, 2018.
    [26]
    叶婷, 王迎宾, 周丛羽. 鱼类体长频率数据结构对生长参数估算的影响分析[J]. 水产科学, 2014, 33(5): 277-282.
    [27]
    WANG Y G, ELLIS N. Effect of individual variability on estimation of population parameters from length-frequency data[J]. Can J Fish Aquat Sci, 1998, 55: 2393-2401. doi: 10.1139/f98-134
    [28]
    WANG X H, QIU Y S, DU F Y, et al. Population parameters and dynamic pool models of commercial fishes in the Beibu Gulf, northern South China Sea[J]. Chin J Oceanol Limnol, 2012, 30(1): 105-117. doi: 10.1007/s00343-012-1017-y
    [29]
    RAMOS-MIRANDA J. Growth, mortality, maturity, and recruitment of the star drum (Stellifer lanceolatus) in the southern Gulf of Mexico[J]. Ceinc Mar, 2009, 35(3): 245-257.
    [30]
    李壮, 刘群. 应用渔业体长分析方法ELEFAN和SLCA估算鱼类生长参数的研究[J]. 海洋湖沼通报, 2007(3): 81-87.
    [31]
    卢振彬, 戴泉水, 颜尤明. 福建近海主要底层经济鱼类的种群动态[J]. 台湾海峡, 1999, 18(1): 100-105.
    [32]
    胡雅竹, 钱世勤. 白姑鱼年龄和生长的研究[J]. 海洋渔业, 1989(4): 158-162.
    [33]
    陈丕茂. 南海北部主要捕捞种类最适开捕规格研究[J]. 水产学报, 2004, 28(4): 393-400.
    [34]
    王雪辉, 邱永松, 杜飞雁, 等. 基于长度贝叶斯生物量法估算北部湾二长棘鲷种群参数[J]. 水产学报, 2020, 44(10): 1654-1662.
    [35]
    WANG Y B, WANG Y C, LIU S D, et al. Stock assessment using LBB method for eight fish species from the Bohai and Yellow Seas[J]. Front Mar Sci, 2020, 7: 164.
    [36]
    GULLAND J A. Fish stock assessment: a manual of basic methods[M]. Chichester, UK: FAO/Wiley series on food and agriculture, 1983: 1-223.
    [37]
    PONS M, COPE J M, KELL L T. Comparing performance of catch-based and length-based stock assessment methods in data-limited fisheries[J]. Can J Fish Aquat Sci, 2020, 77(6): 1026-1037. doi: 10.1139/cjfas-2019-0276
    [38]
    WANG J Q, XU L L, LI B, et al. An evaluation of the effects of sample size on estimating length composition of catches from tuna longline fisheries using computer simulations[J]. Aqua Fish, 2020, 5(3): 122-130. doi: 10.1016/j.aaf.2019.09.001
    [39]
    李寇军, 邱永松, 王跃中. 自然环境变动对北部湾渔业资源的影响[J]. 南方水产, 2007, 3(1): 7-13.
    [40]
    陈国宝, 李永振, 陈丕茂, 等. 鱼类最佳体长频率分析组距研究[J]. 中国水产科学, 2008, 15(4): 659-666.
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