肖戈, 徐博, 张衡, 唐峰华, 陈峰, 朱文斌. 阿拉伯海外海鸢乌贼渔场时空分布与海洋环境要素的研究[J]. 南方水产科学, 2022, 18(4): 10-19. DOI: 10.12131/20210217
引用本文: 肖戈, 徐博, 张衡, 唐峰华, 陈峰, 朱文斌. 阿拉伯海外海鸢乌贼渔场时空分布与海洋环境要素的研究[J]. 南方水产科学, 2022, 18(4): 10-19. DOI: 10.12131/20210217
XIAO Ge, XU Bo, ZHANG Heng, TANG Fenghua, CHEN Feng, ZHU Wenbin. A study on spatial-temporal distribution and marine environmental elements of Symplectoteuthis oualaniensis fishing grounds in outer sea of Arabian Sea[J]. South China Fisheries Science, 2022, 18(4): 10-19. DOI: 10.12131/20210217
Citation: XIAO Ge, XU Bo, ZHANG Heng, TANG Fenghua, CHEN Feng, ZHU Wenbin. A study on spatial-temporal distribution and marine environmental elements of Symplectoteuthis oualaniensis fishing grounds in outer sea of Arabian Sea[J]. South China Fisheries Science, 2022, 18(4): 10-19. DOI: 10.12131/20210217

阿拉伯海外海鸢乌贼渔场时空分布与海洋环境要素的研究

A study on spatial-temporal distribution and marine environmental elements of Symplectoteuthis oualaniensis fishing grounds in outer sea of Arabian Sea

  • 摘要: 为了解西北印度洋公海中阿拉伯海外海的渔业资源开发状况、探究鸢乌贼 (Symplectoteuthis oualaniensis) 的渔场分布及其渔场环境要素对资源的影响,对阿拉伯海外海开展了2个航次的海上调查,获取每个调查站点的渔获量、水温等数据,利用广义可加模型 (Generalized Additive Model, GAM) 分析了多种海洋环境与时空要素对该海域鸢乌贼单位捕捞努力量渔获量 (Catch per unit effort, CPUE) 的影响。研究发现:1) 鸢乌贼CPUE高值的集中区域主要有3个 (60°E—61°E, 16°N; 62°E, 16°N—18°N; 61.50°E—63°E, 17°N—17.75°N);2) 最佳GAM模型的影响因素为经纬度、农历日、海表温度 (Sea surface temperature, SST)、叶绿素a (Chl a) 浓度和海表温度距平 (Sea surface temperature anomaly, SSTA),其中方差解释率最高的前3位分别为经纬度、农历日和SSTA;3) 农历日要素统计得到月黑夜总作业次数是月亮夜总作业次数的1.38倍,月黑夜的总渔获量比月亮夜的增加108.21%;4) GAM模型表明最适SST介于26.5~27.5 ℃,Chl a浓度介于0.30~0.50 mg·m−3,SSTA介于0~0.4 ℃。

     

    Abstract: In order to understand the development status of fishery resources in the waters off the Arabian Sea in the high seas of the northwest Indian Ocean, and to explore the fishery distribution of Symplectoteuthis oualaniensis and the impact of fishery environmental factors on its resources, we carried out two surveys in the waters off the Arabian Sea, obtained the data of catch and operating water temperature at each survey site, and used the Generalized Additive Model (GAM) to analyze the impact of various marine environment and tempo-spatial factors on the catch per unit effort (CPUE) of S. oualaniensis in that sea area. The results show that: 1) There are mainly three areas with high CPUE values (60°E−61°E, 16°N; 62°E, 16°E−18°N; 61.50°E−63°E, 17°N−17.75°N). 2) The influencing factors of the best GAM model included latitude and longitude, lunar calendar day, sea surface temperature (SST), chlorophyll a concentration (Chl a) and sea surface temperature anomaly (SSTA). The top three explanatory factors with the highest explained variance were longitude and latitude, lunar calendar day and SSTA. 3) The total number of catch on the no-moonlight night was 1.38 times the number of catch on the bright moonlight night, and the total catch of the no-moonlight night was 108.21% higher than the total catch of the bright moonlight night. 4) According to the GAM model, the optimal SST range was 26.5−27.5°C; the Chl a concentration range was 0.30−0.50 mg·m−3; the SSTA range was 0−0.4°C.

     

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