Volume 18 Issue 1
Feb.  2022
Turn off MathJax
Article Contents
Abstract
References
Related Articles
ZHAO Guoqing, SHI Yongchuang, FAN Wei, CUI Xuesen, TANG Fenghua. Study on main catch composition and fishing ground change of light purse seine in Northwest Pacific[J]. South China Fisheries Science, 2022, 18(1): 33-42. DOI: 10.12131/20210086
Citation: ZHAO Guoqing, SHI Yongchuang, FAN Wei, CUI Xuesen, TANG Fenghua. Study on main catch composition and fishing ground change of light purse seine in Northwest Pacific[J]. South China Fisheries Science, 2022, 18(1): 33-42. DOI: 10.12131/20210086
shu

Study on main catch composition and fishing ground change of light purse seine in Northwest Pacific

  • 1.

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

  • 2.

    East China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences/Key Laboratory of Oceanic and Polar Fisheries, Ministry of Agriculture and Rural Affairs, Shanghai 200090, China

More Information
  • Received Date: March 21, 2021
  • Revised Date: July 20, 2021
  • Accepted Date: July 27, 2021
  • Available Online: August 30, 2021
    Graphical Abstract
    • Abstract
  • The light purse seine fishery in the high seas of the Northwest Pacific has been a new kind of pelagic fishery developed in China in recent years, with certain development potential. Understanding the catch composition and fishery change of light purse seine is important for the fishery management and development in the Northwest Pacific. Based on the statistical data from 2014 to 2019, we made a statistical analysis on the catch, investigating the catch per unit effort (CPUE) and the main catch composition of light purse seine in Northwest Pacific. Besides, we analyzed the seasonal variation of the distribution of the fishing ground had gravity center by the method of gravity center of catch and cluster analysis. The results show that: 1) There was a big difference in the annual catch yield and catch per unit effort (CPUE). Generally, the yield increased first and then decreased, and CPUE decreased year after year. 2) A total of eight species had been found, among which Scomber japonicus was the main catch species with a frequency of 100%, followed by Sardinops sagax with a frequency of 87.5%, and the catch of other species was relatively small. 3) The center of gravity of the fishing ground had gradually moved to the northeast since April, and turned back to the Southwest after reaching the northeast from August to October, showing a certain anticlockwise variation. The center of gravity of the fishing ground gradually moved to the northeast, and the center of gravity moved 0.92° east in longitude and 1.57° north in latitude from 2014 to 2019. 4) The clustering results show that the monthly yield barycenters could be divided into four categories (July, August, September and October, May and November, April, June). The annual yield barycenters could also be divided into four categories (2016, 2017 and 2018, 2019, 2014, 2015), indicating that there were certain inter-annual and seasonal changes in the light purse seine fishing grounds in the Northwest Pacific.
    • FullText(HTML)
    • References (54)
  • [1]
    张珊. 公海渔业法律制度及其对中国渔业的影响[D]. 青岛: 中国海洋大学, 2008: 3-4.
    [2]
    聂启义. 我国远洋渔业管理政策研究[D]. 上海: 上海海洋大学, 2011: 24-32.
    [3]
    李建生, 严利平, 胡芬, 等. 温台渔场日本鲭的繁殖生物学特征[J]. 中国水产科学, 2015, 22(1): 99-105.
    [4]
    PEARCY W G, FISHER J P, ANMA G, et al. Species associations of epipelagic nekton of the North Pacific Ocean, 1978–1993[J]. Fish Oceanogr, 2010, 5(1): 1-20.
    [5]
    李占强. 全球常年周平均海表温度场构建及其在西北太平洋中的应用[D]. 大连: 大连海洋大学, 2014: 3-4.
    [6]
    丁琪, 陈新军, 方舟, 等. 西北太平洋沿海国海洋渔业资源可持续利用评价[J]. 中国海洋大学学报 (自然科学版), 2015, 45(3): 54-66.
    [7]
    祁斌. 世界远洋渔船发展现状[J]. 船舶与配套, 2013(5): 46-54.
    [8]
    董秀强, 李灵智, 黄洪亮, 等. 西北太平洋公海2种灯光渔业渔获物组成的比较[J]. 海洋渔业, 2018, 40(4): 481. doi: 10.3969/j.issn.1004-2490.2018.04.011
    [9]
    YU W, GUO A, ZHANG Y, et al. Climate-induced habitat suitability variations of chub mackerel Scomber japonicus in the East China Sea[J]. Fish Res, 2018, 207: 63-73. doi: 10.1016/j.fishres.2018.06.007
    [10]
    YATSU A, WATANABE T, ISHIDA M, et al. Environmental effects on recruitment and productivity of Japanese sardine Sardinops melanostictus and chub mackerel Scomber japonicus with recommendations for management[J]. Fish Oceanogr, 2005, 14(4): 263-278. doi: 10.1111/j.1365-2419.2005.00335.x
    [11]
    陈新军. 关于西北太平洋的柔鱼渔场形成的海洋环境因子的分析[J]. 上海水产大学学报, 1997(4): 263-267.
    [12]
    陈新军, 刘必林, 田思泉, 等. 利用基于表温因子的栖息地模型预测西北太平洋柔鱼 (Ommastrephes bartramii) 渔场[J]. 海洋与湖沼, 2009, 40(6): 707-713. doi: 10.3321/j.issn:0029-814X.2009.06.006
    [13]
    余为, 陈新军. 西北太平洋柔鱼栖息地环境因子分析及其对资源丰度的影响[J]. 生态学报, 2015, 35(15): 5032-5039.
    [14]
    沈建华, 韩士鑫, 樊伟, 等. 西北太平洋秋刀鱼资源及其渔场[J]. 海洋渔业, 2004(1): 61-65. doi: 10.3969/j.issn.1004-2490.2004.01.013
    [15]
    朱清澄, 花传祥, 许巍, 等. 西北太平洋公海7~9月秋刀鱼渔场分布及其与水温的关系[J]. 海洋渔业, 2006(3): 228-233. doi: 10.3969/j.issn.1004-2490.2006.03.010
    [16]
    刘瑜, 花传祥. 基于GAM和权重分析的西北太平洋秋刀鱼渔情预报研究[J/OL]. 中国水产科学: 1-9 [2021-03-16]. http://kns.cnki.net/kcms/detail/11.3446.S.20201219.1630.002.html.
    [17]
    YEN K W, HSUEH J, CHANG Y, et al. Using remote-sensing data to detect habitat suitability for yellowfin tuna in the Western and Central Pacific Ocean[J]. Int J Remote Sens, 2012, 33(23): 7507-7522. doi: 10.1080/01431161.2012.685973
    [18]
    LEHODEY P, BERTIGNAC M, et al. El Nino Southern Oscillation and tuna in the western Pacific[J]. Nature, 1997, 389(6652): 715-718. doi: 10.1038/39575
    [19]
    方舟, 陈洋洋, 陈新军, 等. 中西太平洋鲣渔场时空分布研究[J]. 海洋渔业, 2019, 41(2): 149-159.
    [20]
    薛薇. SPSS统计分析方法及应用[M]. 北京: 电子工业出版社, 2005: 301-323.
    [21]
    唐启义, 冯明光. DPS数据处理系统-实验设计、统计分析及模型优化[M]. 北京: 科学出版社, 2006: 635-642.
    [22]
    CAMPBELL R A. Constructing stock abundance indices from catch and effort data: some nuts and bolts[J]. Fish Res, 2015, 161: 109-130. doi: 10.1016/j.fishres.2014.07.004
    [23]
    CAMPBELL R A. A new spatial framework incorporating uncertain stock and fleet dynamics for estimating fish abundance[J]. Fish Fish, 2016, 17(1): 56-77. doi: 10.1111/faf.12091
    [24]
    HILBORN R, WALTERS C J. Quantitative fisheries stock assessment: choice, dynamics, and uncertainty[M]. New York: Chapman and Hall, 1992: 159-195.
    [25]
    MAUNDER M N, PUNT A E. Standardizing catch and effort data: a review of recent approaches[J]. Fish Res, 2004, 70: 141-159. doi: 10.1016/j.fishres.2004.08.002
    [26]
    ERISMAN B E, ALLEN L G, CLAISSE J T, et al. The illusion of plenty: hyperst ability masks collapses in two recreational fisheries that target fish spawning aggregations[J]. Can J Fish Aquat Sci, 2011, 68: 1705-1716. doi: 10.1139/f2011-090
    [27]
    田思泉, 陈新军. 不同名义CPUE计算法对CPUE标准化的影响[J]. 上海海洋大学学报, 2010, 19(2): 240-245.
    [28]
    徐博, 张衡, 唐峰华, 等. 基于GAM的北太平洋公海围网主要渔获种类渔场重心与环境因子的关系分析[J]. 南方水产科学, 2020, 16(5): 60-70. doi: 10.12131/20200006
    [29]
    戴澍蔚, 唐峰华, 樊伟, 等. 北太平洋公海日本鲭资源分布及其渔场环境特征[J]. 海洋渔业, 2017, 39(4): 372-382. doi: 10.3969/j.issn.1004-2490.2017.04.002
    [30]
    崔国辰, 朱文斌, 戴乾, 等. 西北太平洋鲐鱼渔场的时空分布及其与海表温和叶绿素浓度的关系研究[J/OL]. 海洋开发与管理: 1-8 [2021-03-16]. http://kns.cnki.net/kcms/detail/11.3525.P.20201201.0903.002.html.
    [31]
    王良明, 李渊, 张然, 等. 西北太平洋平洋日本鲭资源丰度分布与表温和水温垂直结构的关系[J]. 中国海洋大学学报 (自然科学版), 2019, 49(11): 29-38.
    [32]
    朱国平, 李纲, 郑晓琼, 等. 东海鲐鱼资源时空分布特征[J]. 生态科学, 2011, 30(l): 1-7.
    [33]
    庄之栋, 马超, 刘勇, 等. 北太平洋公海秋季鲐鱼生物学特性的初步研究[J]. 海洋湖沼通报, 2018(6): 125-131.
    [34]
    叶超. 有囊灯光围网水上集鱼灯水中照度分布及优化配置研究[D]. 上海: 上海海洋大学, 2017: 3-4.
    [35]
    沙锋, 钱卫国, 吴仲琪, 等. 鲐鱼灯光围网渔船水上集鱼灯水中照度分布及优化配置的理论计算[J]. 海洋学研究, 2013, 31(1): 85-90. doi: 10.3969/j.issn.1001-909X.2013.01.011
    [36]
    钱卫国, 王伟杰, 叶超, 等. 光诱鱿钓渔船集鱼灯的水中照度分布及合理配置研究[J]. 大连海洋大学学报, 2015, 30(2): 226-230. doi: 10.3969/J.ISSN.2095-1388.2015.02.022
    [37]
    李纲, 陈新军, 田思泉. 我国东、黄海鲐鱼灯光围网渔业CPUE标准化研究[J]. 水产学报, 2009, 33(6): 1050-1059.
    [38]
    SUKYUNG K, JAE B L, ANNE H, et al. The impact of climate changes on the distribution and abundance of mackerels in the Northwestern Pacific[J]. Proc Korean Soc Ind Appl Math, 2010, 5(s3/4): 37-37.
    [39]
    李雪渡. 海水温度与渔场之间的关系[J]. 海洋学报 (中文版), 1982(1): 103-113.
    [40]
    CHEUNGE W W L, WATSON R, PAULY D. Signature of ocean warming in global fisheries catch[J]. Nature, 2013, 497(7449): 365-368. doi: 10.1038/nature12156
    [41]
    苏杭, 陈新军, 汪金涛. 海表水温变动对东、黄海鲐鱼栖息地分布的影响[J]. 海洋学报, 2015, 37(6): 88-96.
    [42]
    晏磊, 朱清澄, 张阳, 等. 2010年北太平洋公海秋刀鱼渔场分布及其与表温的关系[J]. 上海海洋大学学报, 2012, 21(4): 609-615.
    [43]
    唐峰华, 樊伟, 伍玉梅, 等. 北太平洋柔鱼渔场资源与海洋环境关系的季节性变化[J]. 农业资源与环境学报, 2015, 32(3): 242-249.
    [44]
    张衡, 樊伟, 崔雪森. 北太平洋长鳍金枪鱼延绳钓渔场分布及其与海水表层温度的关系[J]. 渔业科学进展, 2011, 32(6): 1-6. doi: 10.3969/j.issn.1000-7075.2011.06.001
    [45]
    陈新军. 渔业资源与渔场学[M]. 北京: 海洋出版社, 2004: 145-157.
    [46]
    MANTUA N J, HARE S R. The pacific decadal oscillation[J]. J Oceanogr, 2002, 58(1): 35-44. doi: 10.1023/A:1015820616384
    [47]
    SAKURAI Y. An overview of the Oyashio ecosystem[J]. Deep-Sea Res II, 2007, 54(23): 2526-2542.
    [48]
    HIDEAKI K, YASUNORI S. Effect of water temperature on gonadal development and emaciation of Japanese common squid Todarodes pacificus (Ommastrephidae)[J]. Fish Sci, 2008, 74: 553-561. doi: 10.1111/j.1444-2906.2008.01558.x
    [49]
    唐峰华, 史赟荣, 朱金鑫, 等. 海洋环境因子对日本海太平洋褶柔鱼渔场时空分布的影响[J]. 中国水产科学, 2015, 22(5): 1036-1043.
    [50]
    LI G, CHEN X J, LEI L, et al. Distribution of hotspots of chub mackerel based on remote-sensing data in coastal waters of China[J]. Int J Rem Sens, 2014, 35(11/12): 4399-4421.
    [51]
    官文江, 高峰, 李纲, 等. 复合种群管理的风险评估—以日本鲐为例[J]. 生态学报, 2014, 34(13): 3682-3692.
    [52]
    郑丽丽, 伍玉梅, 樊伟, 等. 西南大西洋阿根廷滑柔鱼渔场叶绿素a分布及其与渔场的关系[J]. 海洋湖沼通报, 2011(1): 63-70. doi: 10.3969/j.issn.1003-6482.2011.01.009
    [53]
    逄志伟, 李显森, 朱建成, 等. 中东大西洋中部海域中上层鱼类中心渔场的时空变化[J]. 生态学杂志, 2016, 35(11): 3072-3079.
    [54]
    杨胜龙, 范秀梅, 唐峰华, 等. 阿拉伯海鲐鱼渔场时空分布及其与海洋环境的关系[J]. 热带海洋学报, 2019, 38(4): 91-100.
    • Related Articles

  • Related Articles

    [1]YANG Yang, ZHONG Tian, WU Yajie, WANG Yuesong, GAN Xing, CHENG Rui, DUAN Bihui, ZHANG Zhiwei, XIA Yidan, WANG Yue, SONG Rulin, DING Huiping, ZHANG Zhiming. Embryos and larvae development observations of Hypsibarbus vernayi[J]. South China Fisheries Science. DOI: 10.12131/20240281
    [2]CHEN Qiuyu, ZHENG Xiaoting, ZHONG Jinsong, CHEN Zhibing, WANG Ying, LIANG Xueying, DONG Hongbiao, ZHANG Jiasong. Morphological characterization of embryonic development in Rana catesbeiana[J]. South China Fisheries Science, 2023, 19(6): 158-165. DOI: 10.12131/20230015
    [3]CHEN Jianhua, LI Xue, ZHAO Jian, ZHU Honggeng, WANG Haihua, ZHU Ming. Effect of salinity on embryonic development and post-embryonic larval growth of Pramisgurnus dabryanus[J]. South China Fisheries Science, 2022, 18(4): 112-118. DOI: 10.12131/20210230
    [4]LIU Mingjian, GUO Huayang, GAO Jie, ZHU Kecheng, LIU Baosuo, GUO Liang, ZHANG Nan, YANG Jingwen, LIU Bo, ZHANG Dianchang. Embryonic development and morphological characteristics of larvae and juvenile of Platax teira[J]. South China Fisheries Science, 2022, 18(4): 103-111. DOI: 10.12131/20210251
    [5]HAN Junjun, HE Jiangtao, CHEN Peng, HU Jiangwei, QI Feng, FENG Yonghui, CAI Lingang, SHI Chunming, ZHANG Renming. Observation on embryonic development, morphology and growth of larvae and juveniles of Aspiorhynchus laticeps[J]. South China Fisheries Science, 2021, 17(1): 59-66. DOI: 10.12131/20200177
    [6]HUANG Xiaolin, LI Tao, LIN Heizhao, YANG Yukai, YU Wei, HUANG Zhong. Observation on embryonic development of cage-breeding Siganus oramin[J]. South China Fisheries Science, 2018, 14(2): 96-101. DOI: 10.3969/j.issn.2095-0780.2018.02.013
    [7]ZHAO Jianrong, XIE Chongyou, CAI Ruiyu, HUANG Jing, SU Shengqi, WANG Zhijian. A preliminary study on artificial propagation and embryonic development of Discogobio yunnanensis[J]. South China Fisheries Science, 2017, 13(5): 124-128. DOI: 10.3969/j.issn.2095-0780.2017.05.017
    [8]HUANG Hai, YANG Ning, ZHANG Xi. Experimental starvation on Cichlasoma managuense larvae and determination of point of no return[J]. South China Fisheries Science, 2012, 8(2): 43-50. DOI: 10.3969/j.issn.2095-0780.2012.02.007
    [9]XU Xiaojuan, LI Jia′er, OU Youjun. Effects of salinity on embryonic development and early larvae in ovate pompano Trachinotus ovatus[J]. South China Fisheries Science, 2009, 5(6): 31-35. DOI: 10.3969/j.issn.1673-2227.2009.06.006
    [10]QIANG Jun, LI Rui-wei, WANG Hui. Effects of pH on survival activity index and growth of larvae of hybrid tilapia (Oreochromis niloticus×O.aureus)[J]. South China Fisheries Science, 2009, 5(2): 69-73. DOI: 10.3969/j.issn.1673-2227.2009.02.012

  • Cited by

    Periodical cited type(10)

    1. 杨超，赵国庆，韩海斌，张衡，商宸，苏冰，刘思源，蒋佩雯，相德龙，罗民波. 西北太平洋公海远东拟沙丁鱼渔业生物学特征. 海洋渔业. 2024(01): 20-31 .
    2. 何露雪，付东洋，李忠炉，王焕，孙琰，刘贝，余果. 南海西北部蓝圆鲹时空分布及其与环境因子的关系. 渔业科学进展. 2023(01): 24-34 .
    3. 崔国辰，玄文丹，魏裙倚，陶迎新，苏施，余谦超，朱文斌. 基于SST和Chl-a的西南大西洋阿根廷滑柔鱼渔场时空变动分析. 浙江海洋大学学报(自然科学版). 2023(01): 10-19 .
    4. 刘思源，张衡，杨超，方舟. 西北太平洋远东拟沙丁鱼与日本鲭种群动态特征及其与环境因子关系研究进展. 大连海洋大学学报. 2023(02): 357-368 .
    5. 杨超，张衡，韩海斌，赵国庆，石永闯，徐博，蒋沛雯，严云志，葛雅丽. 北太平洋远东拟沙丁鱼渔场时空分布及其最适环境特征. 渔业科学进展. 2023(04): 99-110 .
    6. 刘思源，张衡，杨超，方舟. 基于最大熵模型的西北太平洋远东拟沙丁鱼和日本鲭栖息地差异. 上海海洋大学学报. 2023(04): 806-817 .
    7. 赵国庆，吴祖立，崔雪森，樊伟，石永闯，肖戈，唐峰华. 基于空间自相关模型的西北太平洋日本鲭渔场时空变动研究. 海洋学报. 2022(01): 22-35 .
    8. 赵国庆，石永闯，樊伟，崔雪森，唐峰华. 西北太平洋灯光围网主要渔获物组成及渔场变动研究. 南方水产科学. 2022(01): 33-42 . 本站查看
    9. 董恩和，林建杰，罗俊荣，张衡，严云志，葛雅丽，陈云云，杨超，韩海斌. 我国公海渔业发展现状、影响因素与应对措施. 渔业信息与战略. 2022(01): 12-18 .
    10. 孙永文，张胜茂，唐峰华，王书献，樊伟，范秀梅，杨胜龙. 基于卫星船位数据的北太平洋作业渔船分布及类型研究. 中国农业科技导报. 2022(08): 207-217 .

    Other cited types(10)

Catalog

    Get Citation
    PDF
    XML
    Article views PDF downloads Cited by(20)
    Related

    Supported by: Beijing Renhe Information Technology Co., Ltd.  

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return