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基于空间自相关的西北太平洋日本鲭渔场时空变动研究

赵国庆 吴祖立 崔雪森 樊伟 石永闯 肖戈 唐峰华

赵国庆,吴祖立,崔雪森,等. 基于空间自相关的西北太平洋日本鲭渔场时空变动研究[J]. 海洋学报,2021,44(x):1–14 doi: 10.12284/hyxb2021192
引用本文: 赵国庆,吴祖立,崔雪森,等. 基于空间自相关的西北太平洋日本鲭渔场时空变动研究[J]. 海洋学报,2021,44(x):1–14 doi: 10.12284/hyxb2021192
Zhao Guoqing,Wu Zuli,Cui Xuesen, et al. Spatial temporal patterns of chub mackerel fishing ground in the Northwest Pacific based on spatial autocorrelation model[J]. Haiyang Xuebao,2021, 44(x):1–14 doi: 10.12284/hyxb2021192
Citation: Zhao Guoqing,Wu Zuli,Cui Xuesen, et al. Spatial temporal patterns of chub mackerel fishing ground in the Northwest Pacific based on spatial autocorrelation model[J]. Haiyang Xuebao,2021, 44(x):1–14 doi: 10.12284/hyxb2021192

基于空间自相关的西北太平洋日本鲭渔场时空变动研究

doi: 10.12284/hyxb2021192
基金项目: 国家重点研发计划(2019YFD0901405);上海市自然科学基金项目(17ZR1439700);中国水产科学研究院东海水产研究所基本科研业务费项目(2021T04);农业农村部远洋与极地渔业创新重点实验室开放课题(2019HY-XKQ03)
详细信息
    作者简介:

    赵国庆(1990—),男,山东省潍坊市人,研究方向为渔业遥感。E-mail:zgq617717@163.com

    通讯作者:

    唐峰华,副研究员,主要从事鱼类生态学和渔业遥感。E-mail:f-h-tang@163.com

  • 中图分类号: S931

Spatial temporal patterns of chub mackerel fishing ground in the Northwest Pacific based on spatial autocorrelation model

  • 摘要: 日本鲭(Scomber japonicus)是西北太平洋渔业捕捞的主要种类,了解其渔场变动对探究日本鲭种群分布、资源评估、开发利用和管理等意义重大。为获知其渔场的时空变动特征,本研究根据中国2014−2019年西北太平洋公海灯光围网渔业统计资料,运用全局莫兰指数、局部热点分析、重心迁移轨迹模型和标准差椭圆模型对西北太平洋日本鲭渔场时空分布模式、特征和变动趋势进行了研究。结果显示:(1)日本鲭渔获量主要集中在39°~44°N,147°~155°E范围内,地理上分布不均;年间产量先增后降,年间CPUE逐年降低;月间产量先增后降,其中6−10月均维持在较高水平,CPUE逐月增长;捕捞网次核密度显示,核密度高值发生区域与产量高值具有高度一致性;(2)日本鲭年间、月间渔获量均存在空间自相关并呈现显著聚集分布模式,月间空间自相关性比年间强;(3)年间、月间日本鲭渔获量分布的热点区和冷点区均表现出一定空间集聚特征,但是不同年份、月份的热点区和冷点区的分布区域、面积均存在较大差异;(4)日本鲭渔场重心年间移动轨迹呈右转约90°的扁“W”形状,总体上往西北移动;月间变化显示,从4月份开始逐渐向东北移动,8月到达东北端后向西南折返;(5)日本鲭渔场年间、月间变动方向一致,呈西南−东北格局,且方向性、向心力均较强,日本鲭渔场具有较高的聚集性。该研究引进了空间自相关模型及相关地理空间分析方法,为探讨西北太平洋日本鲭渔场变动特征提供了一种新思路。
  • 图  1  西北太平洋公海日本鲭作业海域

    Fig.  1  Fishing area of chub mackerel in Northwest Pacific high seas

    图  2  标准差椭圆基本参数

    Fig.  2  Basic parameters of the standard deviational ellipse

    图  3  西北太平洋日本鲭渔获量和CPUE

    Fig.  3  Catch and CPUE of chub mackerel in the high seas of the Northwest Pacific

    图  4  西北太平洋公海日本鲭渔获量分布

    Fig.  4  Catch distribution of chub mackerel in the high seas of the Northwest Pacific

    图  5  西北太平洋公海日本鲭渔获网次核密度

    Fig.  5  The kernel density of fishing haul numbers of chub mackerel in the high seas of the Northwest Pacific Ocean

    图  6  西北太平洋日本鲭渔获量年间热点分析

    Fig.  6  Hotspots of annual catches of chub mackerel in the Northwest Pacific

    图  7  西北太平洋日本鲭渔获量月间热点分析

    Fig.  7  Hotspots of monthly catches of chub mackerel in the Northwest Pacific

    图  8  西北太平洋日本鲭渔场重心年间(a)和月间(b)季节变化

    Fig.  8  Interannual (a) and monthly variation (b) of fishing ground gravity centers of chub mackerel in the Northwest Pacific

    图  9  西北太平洋日本鲭渔场年间(a)和月间(b)标准差椭圆

    Fig.  9  Annual (a) and monthly (b) standard deviation ellipses of chub mackerel fishing ground in the Northwest Pacific

    表  1  日本鲭渔获量年间常规统计和全局空间自相关参数

    Tab.  1  Ordinary statistics and global spatial autocorrelation parameters of annual catches of chub mackerel

    年份均值标准差偏态峰态变异系数S2/mGlobal Moran’s IZp
    2014年22.92116.7914.10455.7690.73312.30.2142.2720.023
    2015年21.82518.6458.97224.8460.85415.9290.0525.6780
    2016年16.8413.2543.42523.8660.78710.4320.0912.1080.035
    2017年12.96711.8412.74318.8830.91310.8130.1012.8710.004
    2018年12.49412.2754.66564.5830.98312.0610.0823.3860
    2019年8.7727.7511.3723.990.8846.8490.42210.5250
    下载: 导出CSV

    表  2  日本鲭渔获量月间常规统计和全局空间自相关参数

    Tab.  2  Ordinary statistics and global spatial autocorrelation parameters of monthly catches of chub mackerel

    月份均值标准差偏态峰态变异系数S2/mGlobal Moran’s IZp
    4月11.97315.4937.34387.1311.29420.0460.34418.2020
    5月11.16112.675.2976.6331.13514.3830.8122.0150
    6月12.612.2592.44411.3880.97311.9280.43416.8710
    7月12.32411.0684.49868.9630.8989.940.1116.1650
    8月14.39211.7132.80324.0590.8149.5330.49722.2690
    9月15.57513.0442.0397.8310.83810.9240.67926.760
    10月20.11918.25810.479302.9550.90716.5690.1494.6740
    11月19.73115.3892.98226.5290.7812.0020.2542.9110
    下载: 导出CSV

    表  3  日本鲭年间、月间产量分布标准差椭圆形状参数

    Tab.  3  Parameters of standard deviational ellipse of annual and monthly catch distributions of chub mackerel

    时间方位角/(°)长轴短轴扁率
    年份2014年54.154.51.183.81
    2015年67.622.310.753.1
    2016年60.962.810.923.04
    2017年63.274.350.934.68
    2018年57.362.810.654.31
    2019年52.842.920.55.88
    月份4月47.011.910.892.13
    5月52.312.450.982.5
    6月67.642.190.792.78
    7月63.552.270.82.83
    8月63.942.390.783.06
    9月65.252.990.973.08
    10月65.172.930.823.59
    11月57.122.690.664.06
      注:因为作图时使用经纬作为度量单位,因此短轴、长轴只起提供距离比例和计算扁率作用。
    下载: 导出CSV
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出版历程
  • 收稿日期:  2021-06-25
  • 修回日期:  2021-08-27
  • 网络出版日期:  2021-09-10

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