Volume 19 Issue 1
Feb.  2023
Turn off MathJax
Article Contents
Abstract
References
Related Articles
WU Xiaoci, FENG Zhiping, YU Wei. Spatio-temporal distribution of habitat patterns of Scomber japonicus in East China Sea under future climatic conditions[J]. South China Fisheries Science, 2023, 19(1): 12-21. DOI: 10.12131/20220126
Citation: WU Xiaoci, FENG Zhiping, YU Wei. Spatio-temporal distribution of habitat patterns of Scomber japonicus in East China Sea under future climatic conditions[J]. South China Fisheries Science, 2023, 19(1): 12-21. DOI: 10.12131/20220126
shu

Spatio-temporal distribution of habitat patterns of Scomber japonicus in East China Sea under future climatic conditions

  • 1.

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

  • 2.

    National Engineering Research Center for Oceanic Fisheries/Key Laboratory of Sustainable Exploitation of Oceanic Fisheries Resources, Ministry of Education/Key Laboratory of Oceanic Fisheries Exploration, Ministry of Agriculture and Rural Affairs/Scientific Observing and Experimental Station of Oceanic Fishery Resources, Ministry of Agriculture and Rural Affairs, Shanghai 201306, China

More Information
  • Received Date: May 06, 2022
  • Revised Date: July 10, 2022
  • Accepted Date: August 10, 2022
  • Available Online: August 23, 2022
    Graphical Abstract
    • Abstract
  • To investigate the effects of global climate change on the habitat pattern of Scomber japonicus in the East China Sea and to slow down the adverse effects of climate change on the fishing ground of S. japonicus, based on the water temperature data of 2.5 m (Temp_2.5 m), 25 m (Temp_25 m) and 50 m (Temp_50 m) output by CMIP6 climate model, we analyzed the spatio-temporal changes of the habitat in the East China Sea under three future climatic conditions (SSP126, SSP370 and SSP585). The results show that for SSP126, Temp_2.5 m, Temp_25 m and Temp_50 m showed relatively minor changes. For SSP370 and SSP585, Temp_2.5 m, Temp_25 m and Temp_50 m showed an overall upward trend. The three factors also changed in the spatial distribution during 2015−2020, 2055−2060 and 2095−2100. The habitat suitability index (HSI) on the fishing ground and proportion of suitable habitat of S. japonicus in the East China Sea from 2015 to 2100 showed a similar downward trend under SSP126, SSP370 and SSP585 conditions. However, the proportion of unsuitable habitat area from 2015 to 2100 increased under SSP126, SSP370 and SSP585 conditions. The suitable habitats of S. japonicus were mainly distributed in the waters of 122°E−126°E and 28°N−30°N during 2015−2020, 2055−2060 and 2095−2100, while the unsuitable habitat was mainly distributed in the middle of fishing ground. In addition, the gravity center of suitable habitat of S. japonicus tended to move northward. The results suggest that the global warming is unfavorable for the formation of suitable habitat of S. japonicus in the East China Sea.
    • FullText(HTML)
    • References (35)
  • [1]
    李曰嵩, 邢宇娜, 潘灵芝, 等. 鲐鱼生活史及模型应用研究进展[J]. 大连海洋大学学报, 2021, 36(4): 694-705. doi: 10.16535/j.cnki.dlhyxb.2020-227
    [2]
    刘雅丹. 浅谈气候变化对渔业和水产养殖的影响[J]. 中国水产, 2022(1): 68-71.
    [3]
    GENNER M J, SIMS D W, WEARMOUTH V J, et al. Regional climatic warming drives long-term community changes of British marine fish[J]. Proc R Soc B, 2004, 271(1539): 655-661. doi: 10.1098/rspb.2003.2651
    [4]
    PERRY A L, LOW P J, ELLIS J R, et al. Climate change and distribution shifts in marine fishes[J]. Science, 2005, 308(5730): 1912-1915. doi: 10.1126/science.1111322
    [5]
    周天军, 邹立维, 陈晓龙. 第六次国际耦合模式比较计划 (CMIP6) 评述[J]. 气候变化研究进展, 2019, 15(5): 445-456.
    [6]
    KIPARISSIS S, TSERPES G, TSIMENIDIS N. Aspects on the demography of chub mackerel (Scomber japonicus Houttuyn, 1782) in the Hellenic Seas[J]. Belg J Zool. 2000, 130: 5-9.
    [7]
    范秀梅, 杨胜龙, 张胜茂, 等. 基于栖息地指数的阿拉伯海鲐鱼渔情预报模型构建[J]. 南方水产科学, 2020, 16(4): 8-17. doi: 10.12131/20190255
    [8]
    李纲, 陈新军. 东海鲐鱼资源和渔场时空分布特征的研究[J]. 中国海洋大学学报 (自然科学版), 2007(6): 921-926.
    [9]
    郭爱, 余为, 陈新军, 等. 中国近海鲐鱼资源时空分布与海洋净初级生产力的关系研究[J]. 海洋学报, 2018, 40(8): 42-52.
    [10]
    李宜锴, 方星楠, 余为, 等. 2005—2016年中国东海鲐鱼渔场的时空分布及与海表面温度的关联[J]. 上海海洋大学学报, 2022, 31(3): 710-720. doi: 10.12024/jsou.20210503429
    [11]
    郭爱. 气候与海洋环境变化对东黄海鲐鱼栖息地时空变动的影响[D]. 上海: 上海海洋大学, 2020: 2-4.
    [12]
    杨胜龙, 范秀梅, 伍玉梅, 等. 基于GAM模型的阿拉伯海鲐鱼渔场分布与环境关系[J]. 生态学杂志, 2019, 38(8): 2466-2470. doi: 10.13292/j.1000-4890.201908.032
    [13]
    李曰嵩. 东海鲐鱼 (Scomber japonica) 早期生活史过程的生态动力学模拟研究[D]. 上海: 上海海洋大学, 2012: 41-42.
    [14]
    YU W, WEN J, CHEN X J, et al. Effects of climate variability on habitat range and distribution of chub mackerel in the East China Sea[J]. J Ocean Univ China, 2021, 20(6): 1483-1494. doi: 10.1007/s11802-021-4760-x
    [15]
    刘红红, 朱玉贵. 气候变化对海洋渔业的影响与对策研究[J]. 现代农业科技, 2019(10): 244-247. doi: 10.3969/j.issn.1007-5739.2019.10.149
    [16]
    CHEUNG W W L, LAM V W Y, SARMIENTO J L, et al. Large-scale redistribution of maximum fisheries catch potential in the global ocean under climate change[J]. Glob Chang Biol, 2010, 16(1): 24-35. doi: 10.1111/j.1365-2486.2009.01995.x
    [17]
    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.
    [18]
    张孝威. 鲐鱼[M]. 北京: 农业出版社, 1983: 42-46.
    [19]
    SHULTZ A D, ZUCKERMAN Z C, TEWART H A, et al. Seasonal blood chemistry response of sub-tropical nearshore fishes to climate change[J]. Conserv Physiol, 2014, 2(1): 1-12.
    [20]
    YASUDA T, NAGANO N, KITANO H. Diel vertical migration of chub mackerel: preliminary evidence from a biologging study[J]. Mar Ecol Prog Ser, 2018, 598: 147-151. doi: 10.3354/meps12636
    [21]
    CHEN, X J, TIAN S Q, GUAN W J. Variations of oceanic fronts and their influence on the fishing grounds of Ommastrephes bartramii in the Northwest Pacific[J]. Acta Oceanol Sin, 2014, 33(4): 45-54. doi: 10.1007/s13131-014-0452-3
    [22]
    易炜, 郭爱, 陈新军. 不同环境因子权重对东海鲐鱼栖息地模型的影响研究[J]. 海洋学报, 2017, 39(12): 90-97.
    [23]
    宋利明, 许回, 陈明锐. 毛里塔尼亚海域日本鲭时空分布与海洋环境的关系[J]. 上海海洋大学学报, 2020, 29(6): 868-877. doi: 10.12024/jsou.20190702746
    [24]
    官文江, 陈新军, 高峰, 等. 海洋环境对东、黄海鲐鱼灯光围网捕捞效率的影响[J]. 中国水产科学, 2009, 16(6): 949-958. doi: 10.3321/j.issn:1005-8737.2009.06.016
    [25]
    王子鸣. 基于气候变化分析对海洋的影响[J]. 湖北农机化, 2020(5): 25.
    [26]
    何越. 全球变暖背景下热带太平洋及中国近海气候变化动力降尺度预估[D]. 厦门: 厦门大学, 2017: 64-65.
    [27]
    STOUFFER R J, BROCCOLI A J, DELWORTH T L, et al. GFDL's CM2 Global Coupled Climate Models. Part IV: idealized climate response[J]. J Clim, 2015, 19(5): 723-740.
    [28]
    LEE H C. Impact of atmospheric CO2 doubling on the North Pacific subtropical mode water[J]. Geophys Res Lett, 2009, 36(6): 295-311.
    [29]
    官文江. 基于海洋遥感的东、黄海鲐鱼渔场与资源研究[D]. 上海: 华东师范大学, 2008: 14-15.
    [30]
    马超, 庄之栋, 刘勇, 等. 西北太平洋公海灯光敷网渔获组成及主要种类渔业生物学特征研究[J]. 渔业研究, 2018, 40(2): 141-147.
    [31]
    SASSA C, KAWAGUCHI K, TAKI K. Larval mesopelagic fish assemblages in the Kuroshio-Oyashio transition region of the western North Pacific[J]. Mar Biol, 2007, 150(6): 1403-1415. doi: 10.1007/s00227-006-0434-x
    [32]
    YATSU A, SASSA C, MOKU M, et al. Night-time vertical distribution and abundance of small epipelagic and mesopelagic fishes in the upper 100 m layer of the Kuroshio-Oyashio Transition Zone in spring[J]. Fish Sci, 2005, 71(6): 1280-1286. doi: 10.1111/j.1444-2906.2005.01094.x
    [33]
    TIAN Y, UENO Y, SUDA M, et al. Decadal variability in the abundance of Pacific saury and its response to climatic/oceanic regime shifts in the northwestern subtropical Pacific during the last half century[J]. J Mar Syst, 2004, 52: 235-257. doi: 10.1016/j.jmarsys.2004.04.004
    [34]
    DING X, HU B, LI J, et al. Late Holocene Orbital forcing and solar activity on the Kuroshio Current of subtropical North Pacific at different timescales[J]. Front Earth Sci, 2022, 10: 1-11.
    [35]
    龚彩霞. 未来气候变化情景下西北太平洋柔鱼资源变动[D]. 上海: 上海海洋大学, 2020: 69-70.
    • Related Articles

  • Related Articles

    [1]ZHONG Zhanyou, DENG Hong, KOU Chunni, CHEN Weitao, WU Zhi, LI Yuefei, XIA Yuguo, LI Huifeng, LI Jie, ZHU Shuli. Research on fish diversity in Xijiang Rare Fish Provincial Nature Reserve based on environmental DNA technology[J]. South China Fisheries Science, 2025, 21(2): 47-58. DOI: 10.12131/20240173
    [2]CHEN Weitao, DUAN Xinbin, GAO Lei, LI Xinhui, YANG Jiping, WANG Dengqiang. Genetic structure analysis of Ochetobius elongatus between Yangtze River and Pearl River using multiple loci[J]. South China Fisheries Science, 2022, 18(6): 19-25. DOI: 10.12131/20220007
    [3]WANG Teng, LIU Yong, QUAN Qiumei, LIN Lin, XIAO Yayuan, LI Chunhou, LI Hong. Community structure characteristics of zooplankton in main freshwater rivers of Jiangmen City, Guangdong Province[J]. South China Fisheries Science, 2021, 17(4): 9-17. DOI: 10.12131/20210019
    [4]XIA Yuguo, LI Yuefei, ZHU Shuli, LI Jie, LI Xinhui. Spatio-temporal patterns of CPUE of grass carp and silver carp and effect of  temperature on CPUE in Pearl River basin[J]. South China Fisheries Science, 2021, 17(1): 10-16. DOI: 10.12131/20200131
    [5]ZHU Shuli, LI Yuefei, WU Zhi, LI Jie, XIA Yuguo, YANG Jiping, LI Xinhui. Research on catchable size and resource protection of Squaliobarbus curriculus in Xijiang River Fengkai section based on length-frequency data[J]. South China Fisheries Science, 2020, 16(4): 1-7. DOI: 10.12131/20190231
    [6]ZHENG Deyu, GUO Yijia, YANG Tianyan, GAO Tianxiang, ZHENG Yao, YUAN Donghao, SI Shujin. Genetic diversity analysis of Sillago japonica based on mitochondrial DNA ND2 gene[J]. South China Fisheries Science, 2019, 15(5): 84-91. DOI: 10.12131/20190042
    [7]KUANG Tianxu, SHUAI Fangmin, CHEN Weitao, LI Xinhui. Genetic diversity and population structure of Carassius auratus in Xijiang River[J]. South China Fisheries Science, 2018, 14(5): 29-35. DOI: 10.3969/j.issn.2095-0780.2018.05.004
    [8]YANG Xishu, ZHANG Qun, YÜ Fanyang, LV Jinlei, DI Xiaodan, SHAO Junwei, HUANG Zhenyu, LU Lifeng. MtDNA ND2 sequence-based genetic analysis of Anabas testudineus from South China and Lancang/Mekong River[J]. South China Fisheries Science, 2017, 13(3): 43-50. DOI: 10.3969/j.issn.2095-0780.2017.03.006
    [9]WU Zhi, TAN Xichang, LI Xinhui, TANG Yong. Acoustic monitoring on fish resources in Xijiang section of Pearl River during first closed fishing season[J]. South China Fisheries Science, 2014, 10(3): 24-28. DOI: 10.3969/j.issn.2095-0780.2014.03.004
    [10]ZHU Shuli, LI Xinhui, LI Yuefei, WANG Chao, YANG Jiping, LI Lin. Age and growth of Spualiobarbus curriculus from Zhaoqing Guangdong Section of Xijiang River[J]. South China Fisheries Science, 2013, 9(2): 27-31. DOI: 10.3969/j.issn.2095-0780.2013.02.005

  • Cited by

    Periodical cited type(9)

    1. 邓洪，钟占友，寇春妮，朱书礼，李跃飞，夏雨果，武智，李捷，陈蔚涛. 基于线粒体全基因组揭示斑鳠的种群遗传结构与演化历史. 生物多样性. 2025(01): 97-106 .
    2. 詹华伟，叶树政，陈锭娴，王凯丰，刘兰苑，龚剑，韩崇，李强. 基于线粒体Cytb序列的广东地区大刺鳅群体遗传多样性分析. 湖南农业科学. 2024(03): 1-6 .
    3. 刘童，王英俊，吴莹莹，邹琰，吕芳，吴海一，李建民，宋爱环. 魁蚶3个群体及杂交子代遗传多样性分析. 水产科学. 2024(04): 561-570 .
    4. 邓树庆，蔡杏伟，王韩，符成慧，张清凤，申志新，李高俊，李芳远. 保亭近腹吸鳅遗传多样性及保护建议. 热带生物学报. 2024(04): 419-426 .
    5. 王吉祥，刘凯，王永杰，刘彦斌，刘嘉成，王彩雯，肖伟，连总强，王玉涛. 黄河宁夏段黄河鮈群体的遗传多样性与系统发育分析. 基因组学与应用生物学. 2024(07): 1248-1259 .
    6. 卞玉玲，刘士力，刘一诺，贾永义，李飞，迟美丽，郑建波，程顺，顾志敏. 湖州河川沙塘鳢群体线粒体DNA cyt b基因序列的遗传多样性分析. 水产学杂志. 2023(01): 22-28+35 .
    7. 尹雪宇，陈远腾，庄尔俊，赵俊杰，董玲，李海龙. 基于线粒体nad1基因的大理州亚洲带绦虫遗传多样性分析. 热带医学杂志. 2023(03): 301-304 .
    8. 尹雪宇，陈远腾，庄尔俊，赵俊杰，董玲，李海龙. 基于线粒体12S rRNA基因对大理州亚洲带绦虫遗传多样性的分析. 中国人兽共患病学报. 2023(08): 784-788 .
    9. 范嗣刚，黄皓，王鹏飞，闫路路，赵超，张博，邱丽华. 基于cox1序列的中国6个花鲈野生群体遗传多样性. 广东海洋大学学报. 2022(03): 11-17 .

    Other cited types(6)

Catalog

    Get Citation
    PDF
    XML
    Article views (389) PDF downloads (51) Cited by(15)
    Related

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

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return