Community characteristics of phototropic pelagic fish in the West-central South China Sea upwelling region during the summer

Yu Jie; Tang Zhenzhao; Chen Zuozhi; Chen Guobao

doi:10.12284/hyxb2025050

Article Contents

Article Navigation > Haiyang Xuebao > 2025 >

Yu Jie，Tang Zhenzhao，Chen Zuozhi, et al. Community characteristics of phototropic pelagic fish in the West-central South China Sea upwelling region during the summer[J]. Haiyang Xuebao，2025, 47(5)：1–12 doi: 10.12284/hyxb2025050

Citation:

PDF( 1854 KB)

Community characteristics of phototropic pelagic fish in the West-central South China Sea upwelling region during the summer

doi: 10.12284/hyxb2025050

Yu Jie^{1, 3, 4
,},
Tang Zhenzhao^{1, 3
,
,},
Chen Zuozhi^{1, 2, 4},
Chen Guobao^{1, 3, 4}

1.
South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou 510300, China
2.
Key Laboratory of South China Sea Fishery Resources Exploitation & Utilization, Ministry of Agriculture Rural Affairs, Guangzhou 510300, China
3.
Key Laboratory of Marine Ranching, Ministry of Agriculture and Rural Affairs/ National Digital Fisheries (Marine Ranching) Innovation Sub-Center/ Scientific Observing and Experimental Station of South China Sea Fishery Resources and Environments, Ministry of Agriculture and Rural Affairs/ Guangdong Engineering Technology Research Center of Marine Recreational Fishery, Guangzhou 510300, China
4.
Guangdong Provincial Key Laboratory of Fishery Ecology and Environment, Guangzhou 510300, China

Received Date: 2024-12-12
Rev Recd Date: 2025-02-11

Available Online: 2025-05-16

Abstract

Abstract

To understand the characteristics of fish communities in the upwelling waters of the West-central South China Sea, data from the 2014 summer light falling-net fishery resources survey were utilized to study the species composition, biodiversity, and community structure of phototropic pelagic fish communities. There are 13 fish species in the upwelling core region, belonging to 11 genera in 3 orders and 8 families, with the dominant species being the Cubiceps squamiceps; 11 species of fish were collected from the upwelling periphery region, belonging to 10 genera in 2 orders and 8 families, with the dominant species being the Auxis thazard and Thunnus obesus. The fish diversity index, richness index, and evenness index were lower in the upwelling core region than in the periphery waters. The average catch rate in the upwelling core region was 45.9 kg/h, 1.63 times higher than that in the periphery region. PERMANOVA analysis showed that the fish communities in the upwelling core region and the periphery region had marginally significant differences in fish communities, with the main divergent species being Cubiceps squamiceps, Auxis thazard, Decapterus macrosoma, Thunnus obesus, and Auxis rochei. Correlation analysis showed that sea surface chlorophyll a mass concentration was the most important environmental factor influencing the spatial distribution of fish abundance.
- light falling-net,
- fish,
- community structure,
- the West-central South China Sea,
- upwelling

FullText(HTML)

References(42)

References

[1]	曹欣中. 浙江近海沿岸上升流与渔场的关系[J]. 海洋湖沼通报, 1985, 1(1): 25−28. Cao Xinzhong. On the relationship of the upwelling with fishery off Zhejiang[J]. Transactions of Oceanology and Limnology, 1985, 1(1): 25−28.
[2]	Punya P, Kripa V, Padua S, et al. Impact of environmental changes on the fishery of motorized and non-motorized sub-sectors of the upwelling zone of Kerala, southeastern Arabian sea[J]. Estuarine, Coastal and Shelf Science, 2021, 250: 107144. doi: 10.1016/j.ecss.2020.107144
[3]	尹健强, 黄良民, 李开枝, 等. 南海西北部陆架区沿岸流和上升流对中华哲水蚤分布的影响[J]. 海洋学报, 2013, 35(2): 143−153. doi: 10.3969/j.issn.0253-4193.2013.02.015 Yin Jianqiang, Huang Liangmin, Li Kaizhi, et al. Effects of coastal current and upwelling on the distributions of Calanus sinicus on the northwest continental shelf of the South China Sea[J]. Acta Oceanologica Sinica, 2013, 35(2): 143−153. doi: 10.3969/j.issn.0253-4193.2013.02.015
[4]	孙鲁峰, 徐兆礼, 邢小丽, 等. 鱼山渔场近海海域浮游植物数量与上升流的关系[J]. 海洋环境科学, 2012, 31(6): 881−887. Sun Lufeng, Xu Zhaoli, Xing Xiaoli, et al. Relationship between phytoplankton and upwelling in Yushan Fishery coastal waters[J]. Marine Environmental Science, 2012, 31(6): 881−887.
[5]	陈莹, 赵辉. 南海中西部叶绿素时空变化特征分析[J]. 海洋学研究, 2021, 39(3): 84−94. Chen Ying, Zhao Hui. Spatio-temporal distribution of chlorophyll in the mid-western South China Sea[J]. Journal of Marine Sciences, 2021, 39(3): 84−94.
[6]	May-Kú M A, Ornelas-Roa M, Suárez-Morales E. Surface copepod assemblages in shallow coastal waters off northeastern Yucatan Peninsula influenced by the Yucatan upwelling[J]. Regional Studies in Marine Science, 2022, 56: 102718. doi: 10.1016/j.rsma.2022.102718
[7]	Duncan S E, Sell A F, Hagen W, et al. Environmental drivers of upper mesopelagic fish assemblages in the Benguela Upwelling System[J]. Marine Ecology Progress Series, 2022, 688: 133−152.
[8]	Manjusha U, Jayasankar J, Remya R, et al. Influence of coastal upwelling on the fishery of small pelagics off Kerala, south-west coast of India[J]. Indian Journal of Fisheries, 2013, 60(2): 37−42.
[9]	陈芃, 陈新军, 雷林. 秘鲁上升流对秘鲁鳀渔场的影响[J]. 水产学报, 2018, 42(9): 1367−1377. Chen Peng, Chen Xinjun, Lei Lin. Influence of Peruvian upwelling on the anchoveta (Engraulis ringens) fishing ground[J]. Journal of Fisheries of China, 2018, 42(9): 1367−1377.
[10]	Cury P, Roy C. Optimal environmental window and pelagic fish recruitment success in upwelling areas[J]. Canadian Journal of Fisheries and Aquatic Sciences, 1989, 46(4): 670−680. doi: 10.1139/f89-086
[11]	于杰, 王新星, 李永振, 等. 南海中西部渔场上升流时空变化特征分析[J]. 海洋科学, 2015, 39(6): 104−113. doi: 10.11759/hykx20140522004 Yu Jie, Wang Xinxing, Li Yongzhen, et al. Analysis of the upwelling in the fishing ground in Midwestern South China Sea[J]. Marine Sciences, 2015, 39(6): 104−113. doi: 10.11759/hykx20140522004
[12]	王新星, 于杰, 李永振, 等. 南海主要上升流及其与渔场的关系[J]. 海洋科学, 2015, 39(9): 131−137. doi: 10.11759/hykx20130627001 Wang Xinxing, Yu Jie, Li Yongzheng, et al. The relationship between major upwelling and the upwelling fishing grounds in the South China Sea[J]. Marine Sciences, 2015, 39(9): 131−137. doi: 10.11759/hykx20130627001
[13]	Liang Wenzhao, Tang Danling, Luo Xin. Phytoplankton size structure in the western South China Sea under the influence of a ‘jet-eddy system’[J]. Journal of Marine Systems, 2018, 187: 82−95. doi: 10.1016/j.jmarsys.2018.07.001
[14]	Qian Jing, Li Jiajun, Zhang Kui, et al. Spatial–temporal distribution of large-size light falling-net fisheries in the South China Sea[J]. Frontiers in marine science, 2022, 9: 1075855. doi: 10.3389/fmars.2022.1075855
[15]	粟丽, 陈作志, 张鹏, 等. 2017年南海中南部渔场灯光罩网渔获物组成及渔获率时空分布[J]. 南方水产科学, 2018, 14(5): 11−20. doi: 10.3969/j.issn.2095-0780.2018.05.003 Su Li, Chen Zuozhi, Zhang Peng, et al. Catch composition and spatial-temporal distribution of catch rate of light falling-net fishing in central and southern South China Sea fishing ground in 2017[J]. South China Fisheries Science, 2018, 14(5): 11−20. doi: 10.3969/j.issn.2095-0780.2018.05.003
[16]	粟丽, 陈作志, 黄梓荣, 等. 2015年春季南海北部陆架海域网采浮游植物群落结构及其与环境因子关系[J]. 海洋学研究, 2019, 37(3): 86−96. Su Li, Chen Zuozhi, Huang Zirong, et al. Net-collected phytoplankton community structure in relation to environmental factors in the continental shelf of the northern South China Sea in spring 2015[J]. Journal of Marine Science, 2019, 37(3): 86−96.
[17]	张鹏, 张俊, 李渊, 等. 秋季南海中南部海域的一次灯光罩网探捕调查[J]. 南方水产科学, 2016, 12(2): 67−74. Zhang Peng, Zhang Jun, Li Yuan, et al. An exploratory fishing survey of light falling-net fisheries in the central and southern South China Sea in autumn[J]. South China Fisheries Science, 2016, 12(2): 67−74.
[18]	Ramanantsoa J D, Krug M, Penven P, et al. Coastal upwelling south of Madagascar: temporal and spatial variability[J]. Journal of Marine Systems, 2018, 178: 29−37. doi: 10.1016/j.jmarsys.2017.10.005
[19]	王林慧, 史洁, 高会旺. 2014—2016厄尔尼诺年秘鲁上升流的变化特征及其影响因素[J]. 中国海洋大学学报, 2020, 50(7): 1−9. Wang Linhui, Shi Jie, Gao Huiwang. The Variability characteristics and influential factors in Peru Upwelling over 2014-2016 El Niño years[J]. Periodical of Ocean University of China, 2020, 50(7): 1−9.
[20]	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 Cai Yancong, Xu Shannan, Chen Zuozhi, et al. Current status of community structure and diversity of fishery resources in offshore northern South China Sea[J]. South China Fisheries Science, 2018, 14(2): 10−18. doi: 10.3969/j.issn.2095-0780.2018.02.002
[21]	王雪辉, 林昭进, 杜飞雁, 等. 南海西北部陆架区鱼类的种类组成与群落格局[J]. 生态学报, 2013, 33(7): 2225−2235. doi: 10.5846/stxb201112261975 Wang Xuehui, Lin Zhaojin, Du Feiyan, et al. Fish species composition and community pattern in the continental shelf of northwestern South China Sea[J]. Acta Ecologica Sinica, 2013, 33(7): 2225−2235. doi: 10.5846/stxb201112261975
[22]	马琳, 巢林, 何雨莎, 等. 热带喀斯特季节性雨林12个树种木质部栓塞抗性与其解剖结构及相关性状间的关系[J]. 植物生态学报, 2024, 48(7): 888−902. doi: 10.17521/cjpe.2024.0016 Ma Lin, Chao Lin, He Yusha, et al. Relationship of embolism resistance with xylem anatomical structure and related traits of 12 tree species in tropical karst seasonal rainforests[J]. Chinese Journal of Plant Ecology, 2024, 48(7): 888−902. doi: 10.17521/cjpe.2024.0016
[23]	贺佳云, 张东, 储玲, 等. 人为干扰对溪流鱼类功能多样性及其纵向梯度格局的影响[J]. 生物多样性, 2021, 29(7): 927−937. doi: 10.17520/biods.2020434 He Jiayun, Zhang Dong, Chu Ling, et al. Anthropogenic disturbances affect the functional diversity of stream fishes and its longitudinal patterns in China[J]. Biodiversity Science, 2021, 29(7): 927−937. doi: 10.17520/biods.2020434
[24]	Eisele M H, Madrigal-Mora S, Espinoza M. Drivers of reef fish assemblages in an upwelling region from the Eastern Tropical Pacific Ocean[J]. Journal of Fish Biology, 2021, 98(4): 1074−1090. doi: 10.1111/jfb.14639
[25]	晏磊, 张鹏, 杨吝, 等. 2011年春季南海中南部海域灯光罩网渔业渔获组成的初步分析[J]. 南方水产科学, 2014, 10(3): 97−103. Yan Lei, Zhang Peng, Yang Lin, et al. Catch composition of light falling-net fishery in the central and southern South China Sea in spring of 2011[J]. South China Fisheries Science, 2014, 10(3): 97−103.
[26]	张衡, 吴祖立, 周为峰, 等. 南海南沙群岛灯光罩网渔场金枪鱼科渔获种类、渔获率及其峰值期[J]. 海洋渔业, 2016, 38(2): 140−148. Zhang Heng, Wu Zuli, Zhou Weifeng, et al. Species composition, catch rate and occurrence peak time of Thunnidae family in the fishing ground of light falling-net fisheries in the Nansha Islands area of the South China Sea[J]. Marine Fisheries, 2016, 38(2): 140−148.
[27]	沈国英. 海洋生态学[M]. 3版. 科学出版社, 2010. a) Shen Guoying. Marine Ecology[M]. 3rd ed. Science Press, 2010.
[28]	Pennington J T, Chavez F P. Seasonal fluctuations of temperature, salinity, nitrate, chlorophyll and primary production at station H3/M1 over 1989-1996 in Monterey Bay, California[J]. Deep Sea Research Part Ⅱ: Topical Studies in Oceanography, 2000, 47(5/6): 947−973.
[29]	Rykaczewski R R, Checkley Jr D M. Influence of ocean winds on the pelagic ecosystem in upwelling regions[J]. Proceedings of the National Academy of Sciences of the United States of America, 2008, 105(6): 1965−1970.
[30]	黄佳兴, 龚玉艳, 徐姗楠, 等. 南海中西部渔场主要渔业生物碳氮稳定同位素特征[J]. 热带海洋学报, 2019, 38(1): 76−84. Huang Jiaxing, Gong Yuyan, Xu Shannan, et al. Characteristics of stable carbon and nitrogen isotopes of major fishery organisms in the fishing ground of central western South China Sea[J]. Journal of Tropical Oceanography, 2019, 38(1): 76−84.
[31]	Kidé S O, Manté C, Demarcq H, et al. Groundfish assemblages diversity in upwelling ecosystems: insights from the Mauritanian Exclusive Economic Zone[J]. Biodiversity and Conservation, 2021, 30(8): 2279−2304.
[32]	任春宇, 高建华, 刘焘, 等. 冬春季黄海温度锋面的多时间尺度变化及主控因素分析[J]. 海洋学报, 2023, 45(4): 31−45. Ren Chunyu, Gao Jianhua, Liu Tao, et al. Multi-timescale variation of temperature fronts in the Yellow Sea during winter and spring and its main controlling factors analysis[J]. Haiyang Xuebao, 2023, 45(4): 31−45.
[33]	吴丽航, 王健鑫, 许永久, 等. 长江口及邻近海域冬、夏季浮游动物群落结构的季节差异分析[J]. 浙江海洋大学学报, 2022, 41(3): 183−191. Wu Lihang, Wang Jianxin, Xu Yongjiu, et al. Seasonal difference analysis of zooplankton community structure in winter and summer in the Yangtze Estuary and adjacent waters[J]. Journal of Zhejiang Ocean University (Natural Science), 2022, 41(3): 183−191.
[34]	Plisnier P D, Cocquyt C, Cornet Y, et al. Phytoplankton blooms and fish kills in Lake Tanganyika related to upwelling and the limnological cycle[J]. Journal of Great Lakes Research, 2023, 49(6): 102247. doi: 10.1016/j.jglr.2023.102247
[35]	Tang Danling, Kawamura H, Van Dien T, et al. Offshore phytoplankton biomass increase and its oceanographic causes in the South China Sea[J]. Marine Ecology Progress Series, 2004, 268: 31−41. doi: 10.3354/meps268031
[36]	曾嘉维, 林坤, 王学锋, 等. 雷州湾附近海域鱼类群落结构及其与环境因子的关系[J]. 中国水产科学, 2019, 26(1): 108−117. doi: 10.3724/SP.J.1118.2019.18378 Zeng Jiawei, Lin Kun, Wang Xuefeng, et al. Fish community structure and its relationship with environmental factors in Leizhou Bay[J]. Journal of Fishery Sciences of China, 2019, 26(1): 108−117. doi: 10.3724/SP.J.1118.2019.18378
[37]	宋晨, 王晓波, 张国豪, 等. 浙江瓯江口海域游泳动物群落特征及其与环境因子的关系[J]. 海洋与湖沼, 2023, 54(4): 1113−1124. Song Chen, Wang Xiaobo, Zhang Guohao, et al. Community characteristics of nekton assemblages in Oujiang river estuary and its relationship with environmental factors, Zhejiang, East China[J]. Oceanologia et Limnologia Sinica, 2023, 54(4): 1113−1124.
[38]	Putri A R S, Zainuddin M. Impact of climate changes on skipjack tuna (Katsuwonus pelamis) catch during may-July in the Makassar Strait[J]. IOP Conference Series: Earth and Environmental Science, 2019, 253(1): 012046.
[39]	何倩, 刘淑德, 唐衍力, 等. 山东琵琶岛海域人工鱼礁区鱼类群落物种及功能多样性[J]. 中国水产科学, 2023, 30(12): 1479−1495. doi: 10.12264/JFSC2023-0195 He Qian, Liu Sude, Tang Yanli, et al. Species and functional diversity of fish communities in an artificial reef area of the Pipa Island sea, Shandong[J]. Journal of Fishery Sciences of China, 2023, 30(12): 1479−1495. doi: 10.12264/JFSC2023-0195
[40]	Abdellaoui S, El Halouani H, Tai I, et al. Resource partitioning within major bottom fish species in a highly productive upwelling ecosystem[J]. Journal of Marine Systems, 2017, 173: 1−8. doi: 10.1016/j.jmarsys.2017.03.012
[41]	李波, 阳秀芬, 王锦溪, 等. 南海大眼金枪鱼(Thunnus obesus)摄食生态研究[J]. 海洋与湖沼, 2019, 50(2): 336−346. doi: 10.11693/hyhz20180900215 Li Bo, Yang Xiufen, Wang Jinxi, et al. Feeding ecology of bigeye tuna (Thunnus obesus) in the South China Sea[J]. Oceanologia et Limnologia Sinica, 2019, 50(2): 336−346. doi: 10.11693/hyhz20180900215
[42]	陶雅晋, 莫檬, 何雄波, 等. 南海黄鳍金枪鱼(Thunnus albacores)摄食习性及其随生长发育的变化[J]. 渔业科学进展, 2017, 38(4): 1−10. doi: 10.11758/yykxjz.20160716001 Tao Yajin, Mo Meng, He Xiongbo, et al. Feeding habits and ontogenetic diet shifts of Yellowfin Tuna (Thunnus albacores) in the South China Sea[J]. Progress in Fishery Sciences, 2017, 38(4): 1−10. doi: 10.11758/yykxjz.20160716001