Volume 14 Issue 2
Apr.  2018
Turn off MathJax
Article Contents
Abstract
References
Related Articles
LIU Huaxue, ZHANG Wenbo, XU Jun, LI Chunhou, HUANG Honghui. Stable carbon isotope of size fractionated zooplankton in northern South China Sea[J]. South China Fisheries Science, 2018, 14(2): 36-40. DOI: 10.3969/j.issn.2095-0780.2018.02.005
Citation: LIU Huaxue, ZHANG Wenbo, XU Jun, LI Chunhou, HUANG Honghui. Stable carbon isotope of size fractionated zooplankton in northern South China Sea[J]. South China Fisheries Science, 2018, 14(2): 36-40. DOI: 10.3969/j.issn.2095-0780.2018.02.005
shu

Stable carbon isotope of size fractionated zooplankton in northern South China Sea

  • 1.

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

  • 2.

    Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China

More Information
  • Received Date: July 30, 2017
  • Revised Date: October 16, 2017
  • Available Online: January 07, 2019
    Graphical Abstract
    • Abstract
  • The stable carbon isotope of size fractionated zooplankton was studied in the northern South China Sea during summer and winter, 2015. The zooplankton was divided into three groups according to size structure, i.e., micro- (180–380 μm), meso- (380–500 μm) and macro- (>500 μm). Significant spatial difference of zooplankton stable carbon isotope was found. The δ13C value of zooplankton ranged from –24.19 to –19.57 in summer. High δ13C value of micro- and mesozooplankton mainly distributed in south of the survey area. The δ13C value of zooplankton ranged from –23.89 to –19.69 in winter, while the spatial distribution situation was opposite. No obvious seasonal and size fractionated change of δ13C value has been found. The δ13C values of size fractionated zooplankton were positively related to the numerical value of mean chlorophyll a concentration, but showed no significant correlation to zooplankton biomass.
    • FullText(HTML)
    • References (23)
  • [1]
    IVERSON S J. Tracing aqutic food webs using fatty acids: from qualitative indicators to quantitative determination[M]//KAINZ M, BRETT M T, ARTS M T. Lipids in aquatic ecosystems. New York: Springer, 2008: 281-308.
    [2]
    张武昌, 高尚武, 孙军, 等. 南海北部冬季和夏季浮游哲水蚤类群落[J]. 海洋与湖沼, 2010, 41(3): 448-458.
    [3]
    SUGISAKI H, TSUDA A. Nitrogen and carbon stable isotopic ecology in the ocean: the transportation of organic materials through the food web[M]//SAKAI H, NOZAKI Y. Biogeochemical porcesses and ocean flux in the Western Pacific. Tokyo: Terra Scientific Publishing Company, 1995: 307-317
    [4]
    刘华雪, 徐军, 李纯厚, 等. 南海南部浮游动物稳定同位素研究——碳稳定同位素[J]. 热带海洋学报, 2015, 34(4): 59-64.
    [5]
    蔡德陵, 李红燕, 唐启升, 等. 黄东海生态系统食物网连续营养谱的建立: 来自碳氮稳定同位素方法的结果[J]. 中国科学C辑, 2005, 35(2): 123-130.
    [6]
    BĂNARU D, CARLOTTI F, BARANI A, et al. Seasonal variation of stable isotope ratios of size-fractionated zooplankton in the Bay of Marseille (NW Mediterranean Sea)[J]. J Plankton Res, 2014, 36(1): 145-156.
    [7]
    LI K Z, YAN Y, YIN J Q, et al. Seasonal occurrence of Calanus sinicus in the northern South China Sea: a case study in Daya Bay[J]. J Mar Syst, 2016, 159: 132-141.
    [8]
    张文博, 刘华雪, 巩秀玉, 等. 南海北部不同粒级浮游动物氮稳定同位素研究[J]. 南方水产科学, 2017, 13(6): 48-55.
    [9]
    ROLFF C. Seasonal variation in δ13C and δ15N of size-fractionated plankton at a coastal station in the northern Baltic proper[J]. Mar Ecol Prog Ser, 2000, 203: 47-65.
    [10]
    ZANDEN M J V, RASMUSSEN J B. Primary consumer δ13C and δ15N and the trophic position of aquatic consumers[J]. Ecology, 1999, 80(4): 1395-1404.
    [11]
    李纯厚, 贾晓平, 蔡文贵. 南海北部浮游动物多样性研究[J]. 中国水产科学, 2004, 11(2): 139-146.
    [12]
    MOORE J W, SEMMENS B X. Incorporating uncertainty and prior information into stable isotope mixing models[J]. Ecol Lett, 2008, 11(5): 470-480.
    [13]
    吴莹, 张经, 张再峰, 等. 长江悬浮颗粒物中稳定碳、氮同位素的季节分布[J]. 海洋与湖沼, 2002, 33(5): 546-552.
    [14]
    薛冰, 孙军, 李婷婷. 2014年夏季南海北部浮游植物群落结构[J]. 海洋学报(中文版), 2016, 38(4): 54-65.
    [15]
    彭欣, 宁修仁, 孙军, 等. 南海北部浮游植物生长对营养盐的响应[J]. 生态学报, 2006, 26(12): 3959-3968.
    [16]
    马威, 孙军. 夏、冬季南海北部浮游植物群落特征[J]. 生态学报, 2014, 34(3): 621-632.
    [17]
    FANELLI E, CARTES J E, PAPIOL V. Food web structure of deep-sea macrozooplankton and micronekton off the Catalan slope: insight from stable isotopes[J]. J Mar Syst, 2011, 87: 79-89.
    [18]
    PAPIOL V, CARTES J E, FANELLI E, et al. Food web structure and seasonality of slope megafauna in the NW Mediterranean elucidated by stable isotopes: relationship with available food sources[J]. J Sea Res, 2013, 77: 53-69.
    [19]
    蔡德陵, 王荣, 毕洪生. 渤海生态系统的营养关系: 碳同位素研究的初步结果[J]. 生态学报, 2001, 21(8): 1354-1359.
    [20]
    ESPINASSE B, HARMELIN-VIVIEN M, TIANO M, et al. Patterns of variations in C and N stable isotope ratios in size-fractionated zooplankton in the Gulf of Lion, NW Mediterranean Sea[J]. J Plankton Res, 2014, 36(5): 1204-1215.
    [21]
    MENG W, QIN Y W, ZHANG B H, et al. Heavy metal pollution in Tianjin Bohai Bay, China[J]. J Environ Sci, 2008, 20(7): 814-819.
    [22]
    万祎, 胡建英, 安立会, 等. 利用稳定氮和碳同位素分析渤海湾食物网主要生物种的营养层次[J]. 科学通报, 2005, 50(7): 708-712.
    [23]
    金鑫.黄东海浮游食物网的初步研究——基于脂肪酸标记法和碳氮稳定同位素比值法[D]. 青岛: 中国科学院研究生院(海洋研究所), 2011: 21-26.
    • Related Articles

  • Related Articles

    [1]QIAO Di, LEI Ning, ZHU Junjie, ZHANG Chaonan, WANG Yanchao, ZHOU Ling. Transcriptome analysis of liver anti-MSRV responses in juvenile largemouth bass (Micropterus salmoides)[J]. South China Fisheries Science, 2024, 20(4): 164-176. DOI: 10.12131/20240050
    [2]HAO Tian, TANG Xianhu, JIANG Shouwen, WU Zhichao, XU Qianghua. Transcriptome comparative analysis of liver tissues of three plateau Schizothoracinae fish species[J]. South China Fisheries Science, 2024, 20(3): 92-100. DOI: 10.12131/20230204
    [3]CHEN Zhizhao, ZHU Tao, LEI Caixia, JIANG Peng, DU Jinxing, ZHU Junjie, SONG Hongmei, LI Shengjie. Effects on growth and hepatic glucose metabolism of grass carp fed with high dietary carbohydrates[J]. South China Fisheries Science, 2023, 19(5): 75-85. DOI: 10.12131/20230020
    [4]ZHANG Linbao, TIAN Fei, CHEN Haigang, ZHANG Zhe, YE Guoling, LI Yitong, TANG Haiwei. Comparative transcriptome analysis in livers of female and male marine medaka (Oryzias melastigma)[J]. South China Fisheries Science, 2023, 19(3): 88-97. DOI: 10.12131/20220250
    [5]SONG Ruhao, HU Ruiqin, LI Genfang, ZHANG Zhicong, XU Qianghua. Research on effect of hypoxia stress on liver tissue of zebrafish (Danio rerio) based on transcriptomics technology[J]. South China Fisheries Science, 2022, 18(6): 60-68. DOI: 10.12131/20220038
    [6]HU Jing, YE Le, WU Kaichang, WANG Yu. Effect of acute salinity stress on serum cortisol and activity of Na+ -K+ -ATPase of juvinile Amphiprion clarkii[J]. South China Fisheries Science, 2016, 12(2): 116-120. DOI: 10.3969/j.issn.2095-0780.2016.02.017
    [7]ZHANG Chenjie, ZHANG Yanliang, GAO Quanxin, PENG Shiming, SHI Zhaohong. Effect of low salinity stress on antioxidant function in liver of juvenile Nibea albiflora[J]. South China Fisheries Science, 2015, 11(4): 59-64. DOI: 10.3969/j.issn.2095-0780.2015.04.009
    [8]WU Dan-hua, WANG Chun-lin, SHAO Yin-wen, JIANG Xia-min. Effects of starvation on fatty acid composition of liver and ovary in Sepiella maindroni[J]. South China Fisheries Science, 2010, 6(2): 46-52. DOI: 10.3969/j.issn.1673-2227.2010.02.008
    [9]LI Jianming, GAN Hui, FENG Guangpeng, HUANG Kai, GONG Zhulin. Correlation between lipid levels of feed and liver morphology characters of juvenile tilapia (Oreochromis niloticus×O. aureus)[J]. South China Fisheries Science, 2008, 4(5): 37-43.
    [10]LIN Heizhao, LIU Yongjian, HE Jianguo, ZHENG Wenhui, LI Zhuojia, TIAN Lixia. Effects of starvation on fatty acid composition of muscle and liver in grouper, Epinephelus coioides[J]. South China Fisheries Science, 2006, 2(4): 1-6.

  • Cited by

    Periodical cited type(6)

    1. 李志坚，张永琪，吴迪，孟雄栋，李延天，张丽珍. 基于改进YOLOv7-tiny的凡纳滨对虾游动活跃性定量检测方法. 水产学报. 2024(12): 85-96 .
    2. 许靖添. 基于图像轮廓检测的航天器目标跟踪控制系统设计. 计算机测量与控制. 2021(02): 67-70+97 .
    3. 关辉，许璐蕾. 基于机器视觉的鱼群异常行为监测技术研究. 信息技术与信息化. 2020(05): 97-99 .
    4. 于红. 水产动物目标探测与追踪技术及应用研究进展. 大连海洋大学学报. 2020(06): 793-804 .
    5. 范晓君. 以图像处理为基础的船舶航行轨迹分析. 电子技术与软件工程. 2019(16): 67-68 .
    6. 关辉，许璐蕾. 基于机器视觉的智能鱼群健康状况监测系统. 物联网技术. 2019(10): 13-14+17 .

    Other cited types(3)

Catalog

    Get Citation
    PDF
    XML
    Article views (3091) PDF downloads (432) Cited by(9)
    Related

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

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return