YANG Ke'er, ZHOU Xijie, QIN Song, MA Jin, ZHAO Jing. Fish size spectrum characteristics in offshore waters of southern Zhejiang Province[J]. South China Fisheries Science, 2022, 18(1): 10-21. DOI: 10.12131/20210090
Citation: YANG Ke'er, ZHOU Xijie, QIN Song, MA Jin, ZHAO Jing. Fish size spectrum characteristics in offshore waters of southern Zhejiang Province[J]. South China Fisheries Science, 2022, 18(1): 10-21. DOI: 10.12131/20210090

Fish size spectrum characteristics in offshore waters of southern Zhejiang Province

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  • Received Date: March 23, 2021
  • Revised Date: July 02, 2021
  • Accepted Date: July 26, 2021
  • Available Online: July 31, 2021
  • In order to improve the understanding of the spatio-temporal characteristics, seasonal variation and influencing factors of size structure of offshore fish communities in southern Zhejiang Province, we studied the characteristics of fish particle size spectrum and its spatiotemporal variation by means of particle size spectrum and multi-dimensional scale sorting based on the seasonal fishery survey data in 2019. The results show that the shape of annual Sheldon fish size spectrum was generally unimodal, and the size class ranged from −2 to 11, with the highest biomass occurring in the size classes of 6−7, mainly small fishes. The Sheldon fish size spectrum was basically unimodal in four seasons, and there were seasonal differences in the peak and maximum biomass corresponding to the size range and species composition. The fitted curves for the normalized fish size spectrum were all dome-shaped, and the curvature ranged from −0.18 to −0.09, with the maximum in winter (−0.09) and the minimum in spring (−0.18), indicating that the fish biomass was most vulnerable to external disturbance in spring but relatively stable in winter. The results of multidimensional scaling demonstrate that the fish community in this study can be classified into four subgroups in winter and spring, and three subgroups in summer and autumn. The analysis of size spectra by subgroups shows that the nearshore fish community is much affected by external disturbances than the far-shore fish community. In general, the fish community off southern Zhejiang Province is in a disturbed state, which may be related to environmental factors, seasonal migra-tory and sedentary fishes, as well as the closed fishing periods and fishing activities.
  • [1]
    沈国英, 黄凌风, 郭丰, 等. 海洋生态学[M]. 3版. 北京: 科学出版社, 2010: 159-161.
    [2]
    ANDERSEN K. Size spectrum theory[M]. New Jersey: Princeton University Press, 2019: 15-37.
    [3]
    JENNINGS S, BLANCHARD J L. Fish abundance with no fishing: predictions based on macroecological theory[J]. J Anim Ecol, 2004, 73(4): 632-642. doi: 10.1111/j.0021-8790.2004.00839.x
    [4]
    ZHANG C L, CHEN Y, XU B D, et al. Evaluating fishing effects on the stability of fish communities using a size-spectrum model[J]. Fish Res, 2018, 197: 123-130. doi: 10.1016/j.fishres.2017.09.004
    [5]
    HENEGHAN R F, HATTON I A, GALBRAITH E D. Climate change impacts on marine ecosystems through the lens of the size spectrum[J]. Emerg Top Life Sci, 2019, 3(2): 233-243.
    [6]
    GUIET J, POGGIALE J C, MAURY O. Modelling the community size-spectrum: recent developments and new directions[J]. Ecol Model, 2016, 337: 4-14. doi: 10.1016/j.ecolmodel.2016.05.015
    [7]
    王荣, 林雅蓉, 刘孝贤. 太平洋表层水某些生物海洋学要素和颗粒谱的分布规律研究[J]. 海洋与湖沼, 1988, 19(6): 505-517.
    [8]
    宋伦, 宋广军, 王年斌. 辽东湾浮游生物粒径结构稳定性分析[J]. 中国环境科学, 2015, 35(10): 3117-3126. doi: 10.3969/j.issn.1000-6923.2015.10.032
    [9]
    饶义勇, 蔡立哲, 黄聪丽, 等. 湛江高桥红树林湿地底栖动物粒径谱[J]. 生态学报, 2015, 35(21): 7182-7189.
    [10]
    李自尚. 春季黄河口及其邻近水域浮游动物群落特征与粒径谱的初步研究[D]. 青岛: 中国海洋大学, 2012: 45-55.
    [11]
    徐姗楠, 郭建忠, 陈作志, 等. 胶州湾鱼类生物量粒径谱特征[J]. 水产学报, 2020, 44(4): 596-605.
    [12]
    柳晓雪, 高春霞, 田思泉, 等. 基于栖息地适宜指数的浙江南部近海黄鲫最适栖息地分布[J]. 中国水产科学, 2020, 27(12): 1485-1495.
    [13]
    中华人民共和国生态环境部. 2018年中国海洋生态环境状况公报[EB/OL]. (2019-05-29)[2020-8-22]. https://hbdc.mee.gov.cn/hjyw/201905/t20190529_704849.shtml.
    [14]
    杜晓雪, 田思泉, 王家启, 等. 浙江南部近海鱼类群落结构的时空特征[J]. 大连海洋大学学报, 2018, 33(4): 522-531.
    [15]
    戴小杰, 杨志金, 田思泉, 等. 浙江南部近海鱼类分类多样性研究[J]. 海洋学报, 2019, 41(8): 43-51.
    [16]
    韩晓凤, 王咏雪, 求锦津, 等. 台州南部近岸海域春秋季主要鱼类生态位及其种间联结性[J]. 水产学报, 2020, 44(4): 621-631.
    [17]
    SHELDON R W, PRAKASH A, SUTCLIFFE W H. The size distribution of particles in the ocean[J]. Limnol Oceanogr, 1972, 17(3): 327-340. doi: 10.4319/lo.1972.17.3.0327
    [18]
    郭建忠, 陈作志, 徐姗楠. 鱼类粒径谱研究进展[J]. 海洋渔业, 2017, 39(5): 582-591. doi: 10.3969/j.issn.1004-2490.2017.05.012
    [19]
    JUNG S, HOUDE E D. Fish biomass size spectra in Chesapeake Bay[J]. Estuar Coast, 2005, 28(2): 226-240. doi: 10.1007/BF02732857
    [20]
    SPRULES W G, MUNAWAR M. Plankton size spectra in relation to ecosystem productivity, size, and perturbation[J]. Can J Fish Aquat Sci, 1986, 43(9): 1789-1794. doi: 10.1139/f86-222
    [21]
    DUPLISEA D E, KERR S R. Application of a biomass size spectrum model to demersal fish data from the Scotian Shelf[J]. J Theor Biol, 1995, 177(3): 263-269. doi: 10.1006/jtbi.1995.0243
    [22]
    TREBILCO R, BAUM J K, SALOMON A K, et al. Ecosystem ecology: size-based constraints on the pyramids of life[J]. Trends Ecol Evol, 2013, 28(7): 423-431. doi: 10.1016/j.tree.2013.03.008
    [23]
    于海成. 长江口及邻近海域鱼类群落结构分析[D]. 青岛: 中国科学院大学 (中国科学院海洋研究所), 2008: 16-18.
    [24]
    严润玄, 冯明, 王晓波, 等. 浙江北部海域大型底栖动物优势种的时空分布[J]. 海洋与湖沼, 2020, 51(5): 1162-1174. doi: 10.11693/hyhz20191200253
    [25]
    高春霞, 戴小杰, 田思泉, 等. 基于稳定同位素技术的浙江南部近海主要渔业生物营养级[J]. 中国水产科学, 2020, 27(4): 438-453.
    [26]
    徐姗楠, 郭建忠, 陈作志, 等. 大亚湾鱼类生物量粒径谱特征[J]. 中国水产科学, 2019, 26(1): 34-43.
    [27]
    WARWICK R M. Species size distributions in marine benthic communities[J]. Oecologia, 1984, 61(1): 32-41. doi: 10.1007/BF00379085
    [28]
    DOS SANTOS R M, HILBERS J P, HENDRIKS A J. Evaluation of models capacity to predict size spectra parameters in ecosystems under stress[J]. Ecol Indic, 2017, 79: 114-121. doi: 10.1016/j.ecolind.2017.04.017
    [29]
    BORGMANN U. Particle-size-conversion efficiency and total animal production in pelagic ecosystems[J]. Can J Fish Aquat Sci, 1982, 39(5): 668-674. doi: 10.1139/f82-096
    [30]
    MARQUET P A, QUINONES R A, ABADES S, et al. Scaling and power-laws in ecological systems[J]. J Exp Biol, 2005, 208(9): 1749-1769. doi: 10.1242/jeb.01588
    [31]
    KERR S R, DICKIE L M. The biomass spectrum: a predator-prey theory of aquatic production[M]. New York: Columbia University Press, 2001: 16-18.
    [32]
    周林滨, 谭烨辉, 黄良民, 等. 水生生物粒径谱/生物量谱研究进展[J]. 生态学报, 2010, 30(12): 3319-3333.
    [33]
    韩晓凤. 温台渔场产卵场保护区及附近海域游泳动物群落结构及多样性研究[D]. 舟山: 浙江海洋大学, 2020: 16-26.
    [34]
    梁海. 洞头外侧海域鱼类群落结构及物种多样性研究[D]. 舟山: 浙江海洋大学, 2019: 25-36.
    [35]
    孙鹏. 玉环东部及附近海域游泳动物群落特征及多样性研究[D]. 舟山: 浙江海洋大学, 2018: 27-41.
    [36]
    FENBERG P B, ROY K. Ecological and evolutionary consequences of size-selective harvesting: how much do we know?[J]. Mol Ecol, 2008, 17(1): 209-220. doi: 10.1111/j.1365-294X.2007.03522.x
    [37]
    SHIN Y J, ROCHET M J, JENNINGS S, et al. Using size-based indicators to evaluate the ecosystem effects of fishing[J]. ICES J Mar Sci, 2005, 62(3): 384-396. doi: 10.1016/j.icesjms.2005.01.004
    [38]
    张琳琳. 浙江南部近岸海域春秋季鱼卵、仔稚鱼群落结构及与环境因子的关系[D]. 舟山: 浙江海洋大学, 2020: 46-52.
    [39]
    宋伦, 王年斌, 杨国军, 等. 鸭绿江口及邻近海域生物群落的胁迫响应[J]. 生态学报, 2013, 33(9): 2790-2802.
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