SU Li, XU Youwei, ZHANG Kui, CHEN Zuozhi. Development trend of trawl fishery and its impact on fishery resources in South China Sea[J]. South China Fisheries Science, 2023, 19(4): 41-48. DOI: 10.12131/20230027
Citation: SU Li, XU Youwei, ZHANG Kui, CHEN Zuozhi. Development trend of trawl fishery and its impact on fishery resources in South China Sea[J]. South China Fisheries Science, 2023, 19(4): 41-48. DOI: 10.12131/20230027

Development trend of trawl fishery and its impact on fishery resources in South China Sea

More Information
  • Received Date: February 23, 2023
  • Revised Date: April 09, 2023
  • Accepted Date: April 23, 2023
  • Available Online: May 03, 2023
  • Trawl is the most important fishing gear in the marine fishery production of the South China Sea, in which trawl fishery occupies a dominant position. The number of trawlers increased from 6 730 in 1986 to 14 599 in 2003, then dropped and had remained at about 9 000 since 2010, with the gross tonnage of trawlers ranging from 212 864 t to 876 045 t, showing a steady increasing trend. However, the total power of trawlers increased from 440 438 kW in 1986 to 1 735 173 kW in 2005, and then showed a decreasing trend. The average tonnage and power of single vessels showed a significant increasing trend from 1986 to 2020, and the yield of trawl fishery ranged from 59.24×104 t to 181.66×104 t, accounting for 38.35%–62.96% of the total fishing production in the South China Sea with a decreasing trend. The yield per kilowatt ship and per ton ship ranged from 0.72 to 1.40 t and from 1.18 to 3.90 t, respectively, both were highest in 1999 and then showed a decreasing trend. According to the statistical results of the proportion of juveniles of eight important economic fish species, the proportion of juvenile biomass and average proportion of quantity in the trawl catches from 1992 to 2020 was 24.35%–84.28% and 40.09%–89.84%, respectively. Pennahia argentata, Trichiurus japonicus and Trachurus japonicus had the highest proportions of the juveniles. In view of the low selectivity of trawl fishery, it has a great impact on juvenile fish resources and marine environment. We propose to gradually reduce the size of trawlers, strictly implement the system of mesh size and catching specification, and guide fishermen to use resource-saving and environmentally friendly methods of operation, so as to promote the conservation and sustainable use of offshore fishery resources.
  • [1]
    韦朋, 王雪辉, 马胜伟, 等. 我国南海区海洋捕捞现状分析[J]. 上海海洋大学学报, 2019, 28(6): 976-982. doi: 10.12024/jsou.20180902393
    [2]
    杨吝. 渔具渔法对南海北部渔业资源和海洋环境的影响[J]. 现代渔业信息, 1998, 13(2): 5-9.
    [3]
    崔建章. 渔具与渔法学 (上册)[M]. 北京: 中国农业出版社, 2008: 57.
    [4]
    蔡研聪, 徐姗楠, 陈作志, 等. 南海北部近海渔业资源群落结构及其多样性现状[J]. 南方水产科学, 2018, 14(2): 10-18. doi: 10.3969/j.issn.2095-0780.2018.02.002
    [5]
    张敬怀, 高阳, 时小怀, 等. 大亚湾底拖网海洋生物种类组成及物种多样性[J]. 生物多样性, 2017, 25(9): 1019-1030. doi: 10.17520/biods.2017103
    [6]
    许友伟, 陈作志, 范江涛, 等. 南沙西南陆架海域底拖网渔获物组成及生物多样性[J]. 南方水产科学, 2015, 11(5): 76-81. doi: 10.3969/j.issn.2095-0780.2015.05.009
    [7]
    叶洁琼, 蔡立哲, 黄睿婧, 等. 北部湾底拖网软体动物的种类组成及其环境影响[J]. 海洋通报, 2010, 29(6): 617-622. doi: 10.3969/j.issn.1001-6392.2010.06.004
    [8]
    杨吝. 广东拖网改革回顾及持续发展探讨[J]. 现代渔业信息, 1999, 14(5): 1-6.
    [9]
    傅尚郁. 南海区拖网囊网最小网目尺寸的研究[R]. 广州: 国家水产总局南海水产研究所研究报告, 1981.
    [10]
    杨吝, 谭永光, 张旭丰. 南海底拖网方、菱目网囊选择性研究[J]. 湛江海洋大学学报, 2002, 22(3): 19-25.
    [11]
    杨吝. 不同结构网囊特性的初步研究[J]. 湛江海洋大学学报, 1998, 18(2): 25-29.
    [12]
    杨炳忠, 杨吝, 谭永光, 等. 南海区桁杆虾拖网方目与菱目混合网囊网目选择性研究[J]. 南方水产科学, 2018, 14(1): 105-113. doi: 10.3969/j.issn.20950780.2018.01.014
    [13]
    杨炳忠, 杨吝, 谭永光, 等. 南海区桁杆虾拖网40 mm方目分离网片选择性的初步研究[J]. 海洋科学, 2018, 42(2): 64-70.
    [14]
    杨炳忠, 杨吝, 谭永光, 等. 基于裤式拖网法的虾拖网网囊网目选择性试验与分析[J]. 中国海洋大学学报, 2020, 50(4): 36-44.
    [15]
    徐宝生, 张勋, 王明彦. 单船拖网网板的现状及发展趋势[J]. 福建水产, 2010(1): 86-90. doi: 10.3969/j.issn.1006-5601.2010.01.022
    [16]
    杨吝, 张旭丰, 谭永光, 等. 南海区拖网网囊最小网目尺寸选择性研究[J]. 中国水产科学, 2003, 10(4): 325-332. doi: 10.3321/j.issn:1005-8737.2003.04.012
    [17]
    杨吝, 张旭丰, 孙典荣, 等. 广东省拖网网囊调查[J]. 湛江海洋大学学报, 2001, 21(4): 22-26.
    [18]
    李亚男, 杨炳忠, 张鹏, 等. 南海北部拖网对蓝圆鲹的选择性研究[J]. 南方水产科学, 2022, 18(3): 170-176. doi: 10.12131/20210256
    [19]
    张尔升, 孙庐山, 侯惠丹. 南海渔民海洋捕捞意愿研究[J]. 浙江海洋学院学报, 2017, 34(1): 27-36.
    [20]
    张旭, 张秀梅, 高天翔. 春季黄河口海域2种网具渔获物组成的比较分析[J]. 南方水产, 2010, 6(1): 59-67.
    [21]
    杨吝. 南海区拖网和张网渔具对渔业资源的影响[J]. 水产科技, 1997(3): 4-6.
    [22]
    黄梓荣. 404/200 mm底拖网对经济鱼类的损害和改进措施[J]. 湛江海洋大学学报, 2003, 23(1): 41-44.
    [23]
    杨炳忠, 杨吝, 谭永光, 等. 湛江近海虾拖网副渔获组成分析与评价[J]. 海洋科学, 2014, 38(1): 65-70. doi: 10.11759/hykx20140111
    [24]
    樊伟, 周甦芳, 崔雪森, 等. 拖网捕捞对东海渔业资源种群结构的影响[J]. 应用生态学报, 2003(10): 1697-1700. doi: 10.3321/j.issn:1001-9332.2003.10.023
    [25]
    王跃中, 袁蔚文. 南海北部底拖网渔业资源的数量变动[J]. 南方水产, 2008, 4(2): 26-33.
    [26]
    SU L, XU Y W, QIU Y S, et al. Long-term change of a fish-based index of biotic integrity for a semi-enclosed bay in the Beibu Gulf[J]. Fishes, 2022, 7: 124. doi: 10.3390/fishes7030124
    [27]
    PARADIS S, PUIG P, MASQUÉ P, et al. Bottom-trawling along submarine canyons impacts deep sedimentary regimes[J]. Sci Rep, 2017, 7: 43332. doi: 10.1038/srep43332
    [28]
    RAMALHO S P, ALMEIDA M, ESQUETE P, et al. Bottom-trawling fisheries influence on standing stocks, composition, diversity and trophic redundancy of macrofaunal assemblages from the West Iberian Margin[J]. Deep-Sea Res I, 2018, 138: 131-145. doi: 10.1016/j.dsr.2018.06.004
    [29]
    TILLIN H M, HIDDINK J G, JENNINGS S, et al. Chronic bottom trawling alters the functional composition of benthic invertebrate communities on a sea-basin scale[J]. Mar Ecol Prog Ser, 2006, 318(8): 31-45.
    [30]
    JOHNSON A F, GORELLI G, JENKINS S R, et al. Effects of bottom trawling on fish foraging and feeding[J]. Proc Biol Sci, 2015, 282(1799): 20142336.
    [31]
    de LEO F C, GAUTHIER M, NEPHIN J, et al. Bottom trawling and oxygen minimum zone influences on continental slope benthic community structure off Vancouver Island (NE Pacific)[J]. Deep-Sea Res II, 2017, 137: 404-419. doi: 10.1016/j.dsr2.2016.11.014
    [32]
    严利平, 刘尊雷, 金艳, 等. 延长拖网伏季休渔期的渔业资源养护效应[J]. 中国水产科学, 2019, 26(1): 1-7.
    [33]
    王永进, 张禹, 徐国栋, 等. 我国大网目拖网渔具研究进展与应用现状[J]. 中国农业科技导报, 2015, 17(1): 160-166. doi: 10.13304/j.nykjdb.2014.332
    [34]
    BROADHURST M K, MCSHANE P E, LARSEN R B. Effects of twine diameter and mesh size in the body of prawn trawls on bycatch in Gulf St. Vincent, Australia[J]. Fish Bull, 2000, 98(3): 463-473.
    [35]
    CRIALES-HERNANDEZ M I, DUARTE L O, GARCIA C B, et al. Ecosystem impacts of the introduction of bycatch reduction devices in a tropical shrimp trawl fishery: insights through simulation[J]. Fish Res, 2006, 77(3): 333-342. doi: 10.1016/j.fishres.2005.10.005
    [36]
    陈晓雪, 黄洪亮, 陈雪忠. 国内外拖网减少副渔获物的研究进展[J]. 海洋渔业, 2007, 29(3): 263-270. doi: 10.3969/j.issn.1004-2490.2007.03.012
    [37]
    张健, 石建高, 陈小康. 热带海域选择性虾拖网渔具的研究进展[J]. 大连海洋大学学报, 2011, 26(3): 268-276. doi: 10.3969/j.issn.1000-9957.2011.03.015
    [38]
    SALA A, LUCCHETTI A, PICCINETTI C, et al. Size selection by diamond- and square-mesh codends in multi-species Mediterranean demersal trawl fisheries[J]. Fish Res, 2008, 93: 8-21. doi: 10.1016/j.fishres.2008.02.003
    [39]
    吴如珂, 张向丽, 宋伟华. 拖网渔具中柔性材料应用的初步探讨[J]. 科学养鱼, 2018(7): 79-81. doi: 10.14184/j.cnki.issn1004-843x.2018.07.042
    [40]
    卜洋洋. 深水拖网曳纲绞车结构设计及电液系统集成研究[D]. 大连: 大连海洋大学, 2015: 5-7.
    [41]
    张俊, 邱永松, 陈作志, 等. 南海外海大洋性渔业资源调查评估进展[J]. 南方水产科学, 2018, 14(6): 118-127. doi: 10.12131/20180037
  • Related Articles

    [1]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
    [2]SUN Kang, DAI Xiaojie, WU Feng, GAO Chunxia. A study on catch rate, sex ratio and fork length of blue shark (Prionace glauca) in longline fishing in Western and Central Pacific Ocean[J]. South China Fisheries Science, 2021, 17(2): 28-35. DOI: 10.12131/20200221
    [3]XU Bo, ZHANG Heng, TANG Fenghua, SUI Xin, ZHANG Yingying, HOU Gang. Relationship between center of gravity and environmental factors of main catches of purse seine fisheries in North Pacific high seas based on GAM[J]. South China Fisheries Science, 2020, 16(5): 60-70. DOI: 10.12131/20200006
    [4]DANG Yingchao, CHEN Yilin, DAI Xiaojie, LI Yunkai, WU Feng, LIU Pan. A preliminary study on autumn feeding habits of bigeye tuna (Thunnus obesus) in subtropical waters of North Pacific[J]. South China Fisheries Science, 2020, 16(1): 78-86. DOI: 10.12131/20190184
    [5]ZHANG Jiarong, YANG Xiaoming, DAI Xiaojie, ZOU Lijin. Relationship between catch rate of longline albacore (Thunnus alalunga) and environmental factors in South Pacific[J]. South China Fisheries Science, 2020, 16(1): 69-77. DOI: 10.12131/20190178
    [6]LI Fei, CHEN Xinjun, ZHU Qingcheng, HUA Chuanxiang. Characteristic analysis of fishing condition of saury in Northwest Pacific under different climate regimes[J]. South China Fisheries Science, 2018, 14(3): 20-28. DOI: 10.3969/j.issn.2095-0780.2018.03.003
    [7]XUE Jialun, FAN Wei, TANG Fenghua, GUO Ganggang, TANG Wei, ZHANG Shengmao. Analysis of potential habitat distribution of Scomber japonicus in northwest Pacific Ocean using maximum entropy model[J]. South China Fisheries Science, 2018, 14(1): 92-98. DOI: 10.3969/j.issn.2095-0780.2018.01.012
    [8]GUO Ganggang, ZHANG Shengmao, FAN Wei, CHEN Xinjun, YANG Shenglong. Spatial analysis of vertical active layer of albacore tuna (Thunnus alalunga) in the South Pacific Ocean[J]. South China Fisheries Science, 2016, 12(5): 123-130. DOI: 10.3969/j.issn.2095-0780.2016.05.016
    [9]CUI Xuesen, TANG Fenghua, ZHOU Weifeng, WU Zuli, YANG Shenglong, HUA Chengjun. Fishing ground forecasting model of Ommastrephes bartramii based on support vector machine(SVM) in the Northwest Pacific[J]. South China Fisheries Science, 2016, 12(5): 1-7. DOI: 10.3969/j.issn.2095-0780.2016.05.001
    [10]YANG Mingxia, CHEN Xinjun, FENG Yongjiu, GUAN Wenjiang. Analysis of fishing ground for Ommastrephes bartramii in the Northwest Pacific based on different statistical interpolation methods[J]. South China Fisheries Science, 2015, 11(2): 79-84. DOI: 10.3969/j.issn.2095-0780.2015.02.011
  • Cited by

    Periodical cited type(8)

    1. 刘志强,郭绍健,王禹程,周成,吴峰,万荣. 中西太平洋金枪鱼延绳钓钓钩深度分布及其影响因素. 上海海洋大学学报. 2024(04): 1020-1030 .
    2. 宋利明,李轶婷. 基于龙格库塔法的漂流延绳钓沉降过程数值模拟. 中国水产科学. 2022(01): 157-169 .
    3. 周胜杰,杨蕊,于刚,马振华. 黄鳍金枪鱼幼鱼日周期性及摄食期间的运动行为规律. 南方农业学报. 2022(05): 1407-1414 .
    4. 周胜杰,杨蕊,于刚,马振华. 黄鳍金枪鱼体质量与消化酶和免疫相关酶活性的关系研究. 南方水产科学. 2022(03): 163-169 . 本站查看
    5. 方伟,周胜杰,赵旺,杨蕊,胡静,于刚,马振华. 黄鳍金枪鱼5月龄幼鱼形态性状对体质量的相关性及通径分析. 南方水产科学. 2021(01): 52-58 . 本站查看
    6. 宋利明,周旺. 基于ANSYS Workbench力学仿真的金枪鱼延绳钓钓钩深度. 渔业现代化. 2021(04): 85-94 .
    7. 周胜杰,杨蕊,于刚,马振华. 黄鳍金枪鱼幼鱼体长与血液指标关系研究. 南方水产科学. 2021(05): 126-132 . 本站查看
    8. 王书献,张胜茂,朱文斌,孙永文,杨昱皞,隋江华,沈烈,沈介然. 基于深度学习YOLOV5网络模型的金枪鱼延绳钓电子监控系统目标检测应用. 大连海洋大学学报. 2021(05): 842-850 .

    Other cited types(4)

Catalog

    Article views PDF downloads Cited by(12)
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return