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基于NPP-VIIRS的伏季休渔结束后南海北部灯光渔船聚集特征与制度响应分析

林俊豪 于杰 陈国宝

林俊豪,于杰,陈国宝. 基于NPP-VIIRS的伏季休渔结束后南海北部灯光渔船聚集特征与制度响应分析[J]. 海洋学报,2026,48(x):1–14
引用本文: 林俊豪,于杰,陈国宝. 基于NPP-VIIRS的伏季休渔结束后南海北部灯光渔船聚集特征与制度响应分析[J]. 海洋学报,2026,48(x):1–14
Lin Junhao,Yu Jie,Chen Guobao. Analysis of aggregation characteristics and institutional response of light fishing boats in northern South China Sea after Summer fishing moratorium based on NPP-VIIRS[J]. Haiyang Xuebao,2026, 48(x):1–14
Citation: Lin Junhao,Yu Jie,Chen Guobao. Analysis of aggregation characteristics and institutional response of light fishing boats in northern South China Sea after Summer fishing moratorium based on NPP-VIIRS[J]. Haiyang Xuebao,2026, 48(x):1–14

基于NPP-VIIRS的伏季休渔结束后南海北部灯光渔船聚集特征与制度响应分析

基金项目: 农业农村部渔业发展补助资金项目 (SCSFRI2024A012);广东省重点领域研发计划项目(2020B1111030002)。
详细信息
    作者简介:

    林俊豪 (2002—),男,硕士研究生,研究方向为海洋渔业资源与海洋遥感。E-mail:lin13528249982@163.com

    通讯作者:

    于杰,博士,副研究员,研究方向为海洋渔业资源和海洋遥感。E-mail: yujiescs@aliyun.com

  • 中图分类号: S932

Analysis of aggregation characteristics and institutional response of light fishing boats in northern South China Sea after Summer fishing moratorium based on NPP-VIIRS

  • 摘要: 伏季休渔制度是我国海洋渔业资源养护的重要制度之一。基于2012—2024年的NPP-VIIRS灯光渔船数据,分析休渔结束后三个月灯光渔船的聚集性分布特征、作业重心的变动以及灯光强度随时间的变化特征,并评估休渔制度调整对灯光渔业的影响。研究结果:(1)首月,海南岛东部、粤西和珠江口近岸各有一处灯光渔船聚集区,面积分别为1281.71 km2、5,178.53 km2、2,609.70 km2;粤东近岸海域有两处,面积分别为687.79 km2和2,596.00 km2。(2)首月,灯光渔船出现频数高频区 (448~711)的网格有 7个,中频区(315~448)有10个;次月,高频区消失,中频区仅1个,低频区(181~315)和极低频区(61~181)网格增至13和36个(增幅30%、24.14%);第三个月,频数在61~181的网格减至9个。(3)休渔结束后,海南岛东部、粤西、珠江口和粤东四个海域的灯光渔业渔场重心变化范围分别为(110.51~110.81°E, 18.59~19.02°N)、(111.78~112.09°E, 20.94~21.23°N)、(113.94~114.07°E, 21.55~22.08°N)和(116.69~117.01°E, 22.58~22.78°N)。四个海域灯光辐射值分别在休渔结束后的第19、2、14和35天达到峰值,高作业强度持续至55 天、54 天、51 天和47 天之后便逐渐降低。(4)BSTS模型显示,2017年后推迟开捕时间对提升珠江口海域灯光渔业的捕捞努力量有显著效应(P < 0.01),对于海南岛东部、粤西和粤东海域影响不显著(P > 0.05)。本研究可为我国完善伏季休渔制度和灯光渔业管理提供参考资料。
  • 图  1  研究区域图

    注:1:海南岛东部海域;2:粤西海域;3:珠江口海域;4:粤东海域。

    Fig.  1  The Research Area

    Note: 1, 2, 3, and 4 represent the sea areas of East Hainan Island, West Guangdong, the Pearl River Estuary, and East Guangdong, respectively.

    图  2  2017—2024年南海北部海域灯光渔船核密度(左列)和灯光渔船出现频数空间分布(右列)(a)和(b)为8月16日—9月15日,(c)和(d)为9月16日—10月15日,(e)和(f)为10月16日—11月15日

    注:图2(a)的A、B、C、D和E为5个高核密度区。

    Fig.  2  Spatial distribution of kernel density (left column) and frequency (right column) of light fishing boats occurrence in northern South China Sea from 2017 to 2024 (a) and (b) are from 16 August to 15 September, (c) and (d) are from 16 September to 15 October, (e) and (f) are from 16 October to 15 November

    Note: A, B, C, D and E are five regions of high kernel density in figure 2(a).

    图  3  2017‒2024年南海北部4个海域的灯光渔船作业重心变化轨迹

    注:1为8月16日—8月31日,2为9月1日—9月15日,3为9月16日—9月30日,4为10月1日—10月15日,5为10月16日—10月31日,6为11月1日—11月15日.

    Fig.  3  The path of the fishing gravity of four sea areas in northern South China Sea in 2017‒2024

    Note: 1 is from August 16 to August 31, 2 is from September 1 to September 15, 3 is from September 16 to September 30, 4 is from October 1 to October 15, 5 is from October 16 to October 31, 6 is from November 1 to November 15.

    图  4  2017—2024年南海北部4个海域每日的灯光辐射值变化

    Fig.  4  Daily light radiance values of four sea areas in northern South China Sea from 2017 to 2024

    表  1  不同月份核密度等级区间的面积与比例

    Tab.  1  Area and proportion of kernel density grade region in different months

    时间段
    Time
    核密度值区间
    Kernel Density
    面积/km2
    Area
    面积占比
    Area proportion
    第一个月>220012,410.253.20%
    1500220020,852.595.39%
    700~150042,819.8211.07%
    200~70082,090.7921.21%
    第二个月>220000
    150022002,972.070.77%
    700~150034,529.458.92%
    200~700119,389.9830.85%
    第三个月>220000
    1500220000
    700~15001,555.240.40%
    200~70034,465.268.91%
    下载: 导出CSV

    表  2  BSTS预测模型解释性结果

    Tab.  2  Explanatory results of BSTS prediction model

    海域
    Sea area
    相对变化/%
    Relative effect
    P
    P Value
    显著性
    Significance
    海南岛东部海域+6.22%±22.31%0.39不显著
    粤西海域+38.28%±25.38%0.07不显著
    珠江口海域+83.74%±32.73%0.002显著
    粤东海域+17.91%±25.43%0.22不显著
    下载: 导出CSV
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