Volume 17 Issue 6
Dec.  2021
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SHI Huimin, FAN Wei, ZHANG Han, YANG Shenglong. Spatial analysis of fishing intensity for Illex argentinus based on fishing vessel tracks[J]. South China Fisheries Science, 2021, 17(6): 1-11. DOI: 10.12131/20210010
Citation: SHI Huimin, FAN Wei, ZHANG Han, YANG Shenglong. Spatial analysis of fishing intensity for Illex argentinus based on fishing vessel tracks[J]. South China Fisheries Science, 2021, 17(6): 1-11. DOI: 10.12131/20210010
shu

Spatial analysis of fishing intensity for Illex argentinus based on fishing vessel tracks

  • 1.

    College of Information, Shanghai Ocean University, Shanghai 201306, China

  • 2.

    East China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences/Key Laboratory of East China Sea & Oceanic Fishery Resources Exploitation and Utilization, Ministry of Agriculture and Rural Affairs, Shanghai 200090, China

  • 3.

    Key and Open Laboratory of Remote Sensing Information Technology in Fishing Resource, Chinese Academy of Fishery Sciences, Shanghai 200090, China

  • 4.

    College of Science, University of Shanghai for Science and Technology, Shanghai 200093, China

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  • Received Date: January 07, 2021
  • Revised Date: May 27, 2021
  • Accepted Date: June 14, 2021
  • Available Online: July 08, 2021
    Graphical Abstract
    • Abstract
  • In order to understand the spatial behavior of Illex argentinus fishing vessels, we had analyzed the Automatic Identification System (AIS) data from January to May, 2018. Based on data mining method, we identified the trajectories of squid fishing vessels, and drew the fishing intensity distribution map of squid fishing ground. Then we analyzed the spatial distribution characteristics of monthly fishing intensity of I. argentinus fishing ground. The results show that: 1) The velocity distribution of the squid jigging fishing vessels showed obviously bimodal distribution. 2) The period from January to April was the major squid jigging fishing season and the fishing effort was the highest. The fishing intensity of vessels from mainland China was high from February to April, and the vessels from other countries and regions mainly fished in April and May. 3) The monthly fishing effort was spatially autocorrelated and showed patterns of significant aggregation. 4) The analysis of cold and hot spots reveals that the fishing effort in the survey area showed an aggregated distribution in both high and low values, and the fishing hotspots were moving southward from January to May.
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    • References (29)
  • [1]
    CHANG K Y, CHEN C S, CHIU T Y, et al. Argentine shortfin squid (Illex argentinus) stock assessment in the Southwest Atlantic using geostatistical techniques[J]. Terr Atmos Ocean Sci, 2016, 27(2): 281-292. doi: 10.3319/TAO.2015.11.05.01(Oc)
    [2]
    陈芃, 陈新军. 基于最大熵模型分析西南大西洋阿根廷滑柔鱼栖息地分布[J]. 水产学报, 2016, 40(6): 893-902.
    [3]
    侯庆联, 陈新军, 汪金涛. 西南大西洋阿根廷滑柔鱼资源时空分布研究[J]海洋科学, 2019, 43(5): 103-109.
    [4]
    CHEN C S, HAUNG W B, CHIU T S. Different spatiotemporal distribution of Argentine short-finned squid (Illex argentinus) in the Southwest Atlantic during high-abundance year and its relationship to sea water temperature changes[J]. Zool Stud, 2007, 46(3): 362-374.
    [5]
    HAIMOVICI M, SANTOS R A D, BAINY M C R S, et al. Abundance, distribution and population dynamics of the short fin squid Illex argentinus in Southeastern and Southern Brazil[J]. Fish Res, 2014, 152: 1-12. doi: 10.1016/j.fishres.2013.09.007
    [6]
    CHEN C S, CHIU T S, HAUNG W B. The spatial and temporal distribution patterns of the Argentine short finned squid, Illex argentinus, abundances in the Southwest Atlantic and the effects of environmental influences[J]. Zool Stud, 2007, 46(1): 111-122.
    [7]
    陆化杰, 陈新军, 方舟. 西南大西洋阿根廷滑柔鱼渔场时空变化及其与表温的关系[J]. 海洋渔业, 2013, 35(4): 382-388. doi: 10.3969/j.issn.1004-2490.2013.04.002
    [8]
    方舟, 陈新军, 李建华, 等. 阿根廷专属经济区内鱿钓渔场分布及其与表温关系[J]. 上海海洋大学学报, 2013, 22(1): 134-140.
    [9]
    李娜, 陈新军, 王冉. 基于空间自相关的阿根廷滑柔鱼CPUE标准化研究[J]. 海洋学报(中文版), 2018, 40(2): 61-68.
    [10]
    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(中文版), 2020, 42(6): 29-35.
    [11]
    王言丰, 陈新军, 陈芃, 等. 基于灰色系统西南大西洋阿根廷滑柔鱼资源丰度预测模型的构建[J]. 海洋学报(中文版), 2019, 41(4): 64-73.
    [12]
    汪金涛, 高峰, 雷林, 等. 阿根廷滑柔鱼渔场预报模型最适时空尺度和环境因子分析[J]. 中国水产科学, 2015, 22(5): 1007-1014.
    [13]
    胡贯宇, 陈新军, 汪金涛. 基于不同权重的栖息地指数模型预报阿根廷滑柔鱼中心渔场[J]. 海洋学报, 2015, 37(8): 88-95.
    [14]
    丁琪, 陈新军, 汪金涛. 阿根廷滑柔鱼(Illex argentinus)适宜栖息地模型比较及其在渔场预报中的应用[J]. 渔业科学进展, 2015, 36(3): 8-13. doi: 10.11758/yykxjz.20150302
    [15]
    BERTRAND S, DIAZ E, LENGAIGEN M. Patterns in the spatial distribution of Peruvian anchovy (Engraulis ringens) revealed by spatially explicit fishing data[J]. Prog Oceanogr, 2008, 79(2/3/4): 379-389.
    [16]
    NATALE F, GIBIN M, ALESSANDRINI A, et al. Mapping fishing effort through AIS data[J]. PLoS One, 2015, 10(6): e0130746.
    [17]
    Le GUYADER D, RAY C, GOURMELON F, et al. Defining high-resolution dredge fishing grounds with automatic identification system (AIS) data[J]. Aquat Living Resour, 2017, 30: 39.
    [18]
    WANG Y B, WANG Y. Estimating catches with Automatic Identification System (AIS) data: a case study of single otter trawl in Zhoushan fishing ground, China[J]. Iran J Fish Sci, 2016, 15(1): 75-90.
    [19]
    CIMINO M A, ANDERSON M, SCHRAMEK T, et al. Towards a fishing pressure prediction system for a western Pacific EEZ[J]. Sci Rep, 2019, 9(461): 1-10.
    [20]
    TACONET M, KROODSMA D, FERNANDES J A. Global Atlas of AIS-based fishing activity: challenges and opportunities[M]. Rome: FAO. 2019: 119-213.
    [21]
    伍玉梅, 郑丽丽, 崔雪森, 等. 西南大西洋阿根廷滑柔鱼的资源丰度及其与主要生态因子的关系[J]. 生态学杂志, 2011, 30(06): 1137-1141.
    [22]
    张炜, 张健. 西南大西洋阿根廷滑柔鱼渔场与主要海洋环境因子关系探讨[J]. 上海水产大学学报, 2008, 17(4): 471-475.
    [23]
    SOUZA E N D, BOERDER K, MATWIN S, et al. Improving fishing pattern detection from satellite AIS using data mining and machine learning[J]. PLoS One, 2016, 11(7): e0158248.
    [24]
    MILLS C M, TOWNSEND S E, JENNINGS S, et al. Estimating high resolution trawl fishing effort from satellite-based vessel monitoring system data[J]. ICES J Mar Sci, 2007, 64(2): 248-255. doi: 10.1093/icesjms/fsl026
    [25]
    杨胜龙, 张胜茂, 原作辉, 等. 基于渔船捕捞行为特征的远洋延绳钓渔场捕捞强度计算[J]. 中国水产科学, 2020, 27(3): 307-314.
    [26]
    张胜茂, 杨胜龙, 戴阳, 等. 北斗船位数据提取拖网捕捞努力量算法研究[J]. 水产学报, 2014, 38(8): 1190-1199.
    [27]
    张胜茂, 张衡, 唐峰华, 等. 基于船位监控系统的拖网捕捞努力量提取方法研究[J]. 海洋科学, 2016, 40(3): 146-153. doi: 10.11759/hykx20140217002
    [28]
    伍玉梅, 杨胜龙, 沈建华, 等. 西南大西洋阿根廷滑柔鱼作业渔场特征[J]. 应用生态学报, 2009, 20(6): 1445-1451.
    [29]
    原作辉, 杨东海, 樊伟, 等. 基于卫星 AIS 的中西太平洋金枪鱼延绳钓渔场分布研究[J]. 海洋渔业, 2018, 40(6): 649-659. doi: 10.3969/j.issn.1004-2490.2018.06.002
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