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基于产卵场海表温度的阿根廷滑柔鱼资源丰度预测模型研究

王易帆 陈新军 郭立新

王易帆,陈新军,郭立新. 基于产卵场海表温度的阿根廷滑柔鱼资源丰度预测模型研究[J]. 海洋学报,2020,42(6):29–35 doi: 10.3969/j.issn.0253-4193.2020.06.004
引用本文: 王易帆,陈新军,郭立新. 基于产卵场海表温度的阿根廷滑柔鱼资源丰度预测模型研究[J]. 海洋学报,2020,42(6):29–35 doi: 10.3969/j.issn.0253-4193.2020.06.004
Wang Yifan,Chen Xinjun,Guo Lixin. Research on the abundance prediction model of Illex argentinus based on sea surface temperature of spawning ground[J]. Haiyang Xuebao,2020, 42(6):29–35 doi: 10.3969/j.issn.0253-4193.2020.06.004
Citation: Wang Yifan,Chen Xinjun,Guo Lixin. Research on the abundance prediction model of Illex argentinus based on sea surface temperature of spawning ground[J]. Haiyang Xuebao,2020, 42(6):29–35 doi: 10.3969/j.issn.0253-4193.2020.06.004

基于产卵场海表温度的阿根廷滑柔鱼资源丰度预测模型研究

doi: 10.3969/j.issn.0253-4193.2020.06.004
基金项目: 国家自然科学基金面上项目(NSFC41876141)。
详细信息
    作者简介:

    王易帆(1993-),男,浙江省舟山市人,主要研究方向为大洋性柔鱼中长期预报。E-mail:952213443@qq.com

    通讯作者:

    陈新军,男,教授,主要从事远洋鱿钓渔业、渔情预报学、渔业资源经济学等方向研究。E-mail:xjchen@shou.edu.cn

  • 中图分类号: P714+.5;S932.4

Research on the abundance prediction model of Illex argentinus based on sea surface temperature of spawning ground

  • 摘要: 阿根廷滑柔鱼(Illex argentinus)为短生命周期种,其资源丰度易受海洋环境变化的影响,尤其是在产卵场的早期生活史阶段。根据2003−2016年我国鱿钓船队在西南大西洋的生产统计数据,以及产卵场海洋表面温度(SST)卫星遥感数据,用相关性分析方法筛选出阿根廷滑柔鱼产卵旺季期间(6月份)表征产卵场SST变化的特征海域;基于阿根廷滑柔鱼产卵场最适SST范围占总面积之比(Ps)与资源丰度单位捕捞努力渔获量(CPUE,t/船)呈正相关性的假设,回溯阿根廷滑柔鱼最适的产卵场及水温环境条件,并据此建立多种基于表征产卵场SST环境因子的资源丰度多元线性预测模型。相关性分析结果表明:6月份有两片连续海域(Area 1、Area 2)的SST与CPUE之间存在显著相关性,分别为42.5°~44°S、57.5°~59°W(Area 1)和39°~39.5°S、45°~46°W(Area 2);回溯的阿根廷滑柔鱼产卵场范围为37.5°~44°S、41.5°~51.5°W,产卵场最适SST范围为16~17.5℃。利用2个特征海域(Area 1、Area 2)SST以及回溯的产卵场Ps建立4种的多元线性资源丰度指数(ICPUE)预测模型,结果表明,包含表征寒暖流的特征海域和回溯产卵场Ps的方案4模型优于其他3种模型,其资源丰度指数预测模型为ICPUE=1.390 4×Ps+0.261 9×SSTArea 1+0.096 2×SSTArea 2−3.248 0。
  • 图  1  不同学者假设的影响阿根廷滑柔鱼南巴塔哥尼亚群体资源量的海域分布

    Fig.  1  Hypothetical areas affecting recruitment of Illex argentinus (South Patagonic stock population) by different scholars

    图  2  假设的阿根廷滑柔鱼产卵场向东北移动的示意图

    Fig.  2  The movement and expanded schematic of hypothetical spawning ground of Illex argentinus (South Patagonic stock population)

    图  3  2003−2016年阿根廷滑柔鱼CPUE变化趋势

    Fig.  3  CPUE of Illex argentinus from 2003 to 2016

    图  4  表征阿根廷滑柔鱼产卵场SST环境因子分布

    Fig.  4  Distribution of environmental factor for characterizing SST in the spawning ground of Illex argentinus

    图  5  2002−2014年阿根廷滑柔鱼产卵场Area 1的SST与次年CPUE年间变化

    Fig.  5  SST of the Area 1 in the spawning ground of Illex argentinus and its CPUE of next year during 2002−2014

    图  6  2002−2014年阿根廷滑柔鱼产卵场Area 2的SST与次年CPUE年间变化

    Fig.  6  SST of the Area 2 in the spawning ground of Illex argentinus and its CPUE of next year during 2002−2014

    图  7  阿根廷滑柔鱼推测产卵场经纬度坐标分布图

    Fig.  7  Latitude and longitude coordinate map of the forecasting spawning ground of Illex argentinus

    表  1  产卵场特征海域SST与次年CPUE相关性分析结果

    Tab.  1  The result of correlation analysis parameters between SST in key area and CPUE of next year

    Area 1Area 2
    经纬度范围42.5°~44°S,57.5°~59°W39°~39.5°S,45°~46°W
    R0.618 70.609 2
    p0.024 20.027 1
    下载: 导出CSV

    表  2  推测产卵场(37.5°~44°S,41.5°~51.5°W)不同最适SST范围的Ps与CPUE相关性分析结果

    Tab.  2  The result of correlation analysis parameters between Ps of different optimal SST ranges and CPUE in forecasted spawning ground (37.5°−44°S,41.5°−51.5°W)

    产卵场最适SST范围Rp
    15.5~17℃0.470 20.104 9
    16~17.5℃0.654 50.015 2
    16.5~18℃0.205 00.501 6
    17~18.5℃−0.083 2 0.787 0
    15.5~17.5℃0.544 30.054 4
    16~18℃0.524 20.065 9
    16.5~18.5℃0.113 40.712 1
    15.5~18℃0.502 70.080 0
    16~18.5℃0.381 10.198 8
    下载: 导出CSV

    表  3  多元线性模型方程以及预报结果

    Tab.  3  Multiple linear model equations and forecast results

    方案多元线性预测模型方程RpMSE
    1ICPUE=2.570 1×Ps+0.253 6×SSTArea 1−1.928 20.732 10.021 50.037 9
    2ICPUE=2.581 6×Ps+0.092 6×SSTArea 2−1.602 00.720 60.025 70.039 2
    3ICPUE=0.328 0×SSTArea 1+0.124 2×SSTArea 2−3.868 50.774 70.010 20.032 6
    4ICPUE=1.390 4×Ps+0.261 9×SSTArea 1+0.096 2×SSTArea 2−3.248 00.796 20.023 50.029 9
    下载: 导出CSV

    表  4  多元线性模型方程自变量t检验结果

    Tab.  4  Multivariate linear model equation variable t test result

    方案t(Ps)t(SST 1)t(SST 2)
    11.8162.522
    21.9562.375
    32.3942.332
    41.9102.6782.552
    下载: 导出CSV
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出版历程
  • 收稿日期:  2018-12-21
  • 修回日期:  2019-01-02
  • 网络出版日期:  2020-11-18
  • 刊出日期:  2020-06-25

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