Volume 16 Issue 2
Apr.  2020
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LI Jiajia, WANG Jintao, CHEN Xinjun, LEI Lin, GUAN Changtao. Spatio-temporal variation of Ommastrephes bartramii resources (winter & spring groups) in Northwest Pacific under different climate modes[J]. South China Fisheries Science, 2020, 16(2): 62-69. DOI: 10.12131/20190175
Citation: LI Jiajia, WANG Jintao, CHEN Xinjun, LEI Lin, GUAN Changtao. Spatio-temporal variation of Ommastrephes bartramii resources (winter & spring groups) in Northwest Pacific under different climate modes[J]. South China Fisheries Science, 2020, 16(2): 62-69. DOI: 10.12131/20190175
shu

Spatio-temporal variation of Ommastrephes bartramii resources (winter & spring groups) in Northwest Pacific under different climate modes

  • 1.

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

  • 2.

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

  • 3.

    Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences/Key Laboratory of Sustainable Development of Marine Fisheries, Ministry of Agriculture and Rural Affairs, Qingdao 266071, China

More Information
  • Received Date: September 08, 2019
  • Revised Date: November 10, 2019
  • Accepted Date: December 04, 2019
  • Available Online: December 09, 2019
    Graphical Abstract
    • Abstract

  • Ommastrephes bartramii is an oceanic species with short life cycle, whose life history and biomass are affected by environmental and climatic factors significantly. Based on the fishery data, sea surface temperature (SST), chlorophyll a (Chl a) and Pacific decadal oscillation (PDO) from 2004 to 2015 in the Northwest Pacific, we applied patial autocorrelation statistics, hot spot analysis and wavelet analysis to study the spatio-temporal variation of O. bartramii in that area under two PDO models with cold and warm periods. The results show that the PDO index was positively correlated with the catch per unit effort (CPUE) and the CPUE lagged PDO for eight months. However, the conjugate period was 2−4 months under the influence of CPUE and PDO index. The distribution of fishery hotspots under two PDO modes is characterized by the fact that the gravity centers of fishing ground is obviously distributed in high and low latitude direction with strong and weak spatial agglomeration in warm and cold periods, respectively. PDO index affects the spatio-temporal distribution of O. bartramii in different periods significantly, which has positive implications for the sustainable development of O. bartramii in the Northwest Pacific Ocean.

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    • References (35)
  • [1]
    余为, 陈新军. 西北太平洋柔鱼冬春生群体栖息地的变化研究[J]. 海洋学报, 2018, 40(3): 86-94.
    [2]
    魏广恩. 北太平洋柔鱼渔场的时空分析与资源丰度的预测[D]. 上海: 上海海洋大学, 2018: 6-8.
    [3]
    YU W, CHEN X J, YI Q, et al. A review of interaction between neon flying squid (Ommastrephes bartramii) and oceanographic variability in the north Pacific Ocean[J]. J Ocean Univ Chin, 2015, 14(4): 739-748. doi: 10.1007/s11802-015-2562-8
    [4]
    BOWER J R, ICHII T. The red flying squid (Ommastrephes bartramii): a review of recent research and the fishery in Japan[J]. Fish Res, 2005, 76(1): 39-55. doi: 10.1016/j.fishres.2005.05.009
    [5]
    CHEN X J, CHEN Y, TIAN S Q. An assessment of the west winter–spring cohort of neon flying squid (Ommastrephes bartramii) in the northwest Pacific Ocean[J]. Fish Res, 2008, 92(2/3): 221-230. doi: 10.1016/j.fishres.2008.01.011
    [6]
    唐峰华, 樊伟, 伍玉梅, 等. 北太平洋柔鱼渔场资源与海洋环境关系的季节性变化[J]. 农业资源与环境学报, 2015, 32(3): 242-249.
    [7]
    崔雪森, 唐峰华, 张衡, 等. 基于朴素贝叶斯的西北太平洋柔鱼渔场预报模型的建立[J]. 中国海洋大学学报(自然科学版), 2015, 45(2): 37-43.
    [8]
    余为, 陈新军, 易倩. 不同气候模态下西北太平洋柔鱼渔场环境特征分析[J]. 水产学报, 2017, 41(4): 525-534.
    [9]
    余为. 西北太平洋柔鱼冬春生群对气候与环境变化的响应机制研究[D]. 上海: 上海海洋大学, 2016: 70-88.
    [10]
    刘冀, 董晓华, 李帅. 基于小波消噪的径流趋势变化对比分析[J]. 水电能源科学, 2009, 27(5): 4-7. doi: 10.3969/j.issn.1000-7709.2009.05.002
    [11]
    杨勇, 普宗朝, 张山清, 等. 近48年新疆博州地区气候变化趋势的分析[J]. 石河子大学学报(自然科学版), 2010, 28(4): 446-452.
    [12]
    WANG X L, YAN F J, WANG T R, et al. Changing features of sunshine duration and effects on greenhouse production in Shouguang City [J]. Meteoral Environl Ves, 2016, 7(6): 76-79.
    [13]
    邱海军, 曹明明, 曾彬. 基于小波分析的西安降水时间序列的变化特征[J]. 中国农业气象, 2011, 32(1): 23-27. doi: 10.3969/j.issn.1000-6362.2011.01.005
    [14]
    杨晓明, 周应祺, 陈新军, 等. 西北印度洋延绳钓大眼金枪鱼渔获率的时间序列小波特征[J]. 中国水产科学, 2009, 16(6): 941-948. doi: 10.3321/j.issn:1005-8737.2009.06.015
    [15]
    蔡建堤, 陈方平, 吴建绍. 渔场重心信度测算及渔场重心修正理论构建——以闽南-台湾浅滩渔场二长棘鲷为例[J]. 生态学报, 2015, 35(6): 1929-1937.
    [16]
    魏广恩, 陈新军, 李纲. 西北太平洋柔鱼洄游重心年际变化及预测[J]. 上海海洋大学学报, 2018, 27(4): 573-583. doi: 10.12024/jsou.20171102171
    [17]
    冯永玖, 陈新军, 杨铭霞, 等. 基于ESDA的西北太平洋柔鱼资源空间热点区域及其变动研究[J]. 生态学报, 2014, 34(7): 1841-1850.
    [18]
    崔丽. 空间多尺度下西北太平洋柔鱼空间模式及其与海洋环境的关系[D]. 上海: 上海海洋大学, 2018: 17-20.
    [19]
    CHEN X J, ZHAO X H, CHEN Y. Influence of El Niño/La Niña on the western winter-spring cohort of neon flying squid (Ommastrephes bartramii) in the northwestern Pacific Ocean[J]. ICES J Mar Sci, 2007, 64(6): 1152-1160. doi: 10.1093/icesjms/fsm103
    [20]
    杨铭霞, 陈新军, 冯永玖, 等. 中小尺度下西北太平洋柔鱼资源丰度的空间变异[J]. 生态学报, 2013, 33(20): 6427-6435.
    [21]
    GENCAY R, SELCUK F, WITCHER B. An introduction to wavelets and other filtering methods in finance and economics[J]. Wave Random Media, 2002, 12(3): 399-399. doi: 10.1088/0959-7174/12/3/701
    [22]
    HAN M, NAICHANG Y, CHI H. Signal analysis by time-frequency distributions: applications to impulse radar scattering echoes of plate and dihedral corner[J]. Int J Infrared Millim Wave, 1998, 19(7): 1017-1025. doi: 10.1023/A:1022635710654
    [23]
    牟萍, 杨胜发, 童思陈. 基于Morlet小波分析的嘉陵江流域年径流周期研究[J]. 重庆交通大学学报 (自然科学版), 2016, 35(1): 76-79.
    [24]
    田俊, 黄淑娥, 祝必琴, 等. 江西双季早稻气候适宜度小波分析[J]. 江西农业大学学报, 2012, 34(4): 646-651, 670. doi: 10.3969/j.issn.1000-2286.2012.04.005
    [25]
    杨晓明, 戴小杰, 田思泉, 等. 中西太平洋鲣鱼围网渔业资源的热点分析和空间异质性[J]. 生态学报, 2014, 34(13): 3771-3778.
    [26]
    DORMANN C. Effects of incorporating spatial autocorrelation into the analysis of species distribution data[J]. Glob Ecol Biogeogr, 2010, 16(2): 129-138.
    [27]
    MARTINO F D, SESSA S. A fuzzy particle swarm optimization algorithm and its application to hotspot events in spatial analysis[J]. J Ambient Intell Hum Comput, 2013, 4(1): 85-97. doi: 10.1007/s12652-011-0096-5
    [28]
    TSENG C T, SUN C L, YEH S Z, et al. Spatio-temporal distributions of tuna species and potential habitats in the Western and Central Pacific Ocean derived from multi-satellite data[J]. Int J Remote Sens, 2010, 31(17/18): 4543-4558.
    [29]
    田思泉, 陈新军, 冯波, 等. 西北太平洋柔鱼资源丰度与栖息[J]. 上海海洋大学学报, 2009, 18(5): 586-592.
    [30]
    崔雪森, 唐峰华, 周为峰, 等. 基于支持向量机的西北太平洋柔鱼渔场预报模型构建[J]. 南方水产科学, 2016, 12(5): 1-7. doi: 10.3969/j.issn.2095-0780.2016.05.001
    [31]
    马金, 陈新军, 刘必林, 等. 北太平洋柔鱼渔业生物学研究进展[J]. 上海海洋大学学报, 2011, 20(4): 563-570.
    [32]
    武胜男, 余为, 陈新军, 等. 太平洋褶柔鱼秋生群产卵场环境变化及对资源丰度的影响[J]. 海洋渔业, 2018, 40(2): 4-13.
    [33]
    YU W, CHEN X J, YI Q, et al. Variability of suitable habitat of western winter-spring cohort for neon flying squid in the Northwest Pacific under anomalous environments[J]. PLoS One, 2015, 10(4): e0122997. doi: 10.1371/journal.pone.0122997
    [34]
    陈峰, 陈新军, 钱卫国, 等. 水温变动对2009年西北太平洋柔鱼产量下降的影响[J]. 广东海洋大学学报, 2010, 30(1): 65-71. doi: 10.3969/j.issn.1673-9159.2010.01.013
    [35]
    陈新军, 田思泉. 西北太平洋海域柔鱼的产量分布及作业渔场与表温的关系研究[J]. 中国海洋大学学报(自然科学版), 2005, 35(1): 101-107.
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