Cluster analysis of tuna purse seine fishery in the Western and Central Pacific
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摘要: 本文根据1995-2010年我国中西太平洋金枪鱼围网生产统计数据,按年和月不同时间空间分辨率对金枪鱼围网渔场进行聚类分析,划定不同渔场类型;同时结合海表温度(SST)及Niño3.4区指数,探讨其渔场类型形成的原因。研究表明,在月为时间尺度下气候异常事件(El Niño和La Niña事件)发生频次与渔场聚类结果类别相关联,在1-12月发生气候异常事件频数分布可划分为以下几个阶段:1-3月、4-6、7-9月、10-12月,与月时间尺度下金枪鱼围网中心渔场4种聚类结果的时间范围具有一致性。通过渔场重心聚类结果和El Niño和La Niña事件分类统计对比发现,在年时间尺度下,气候异常事件的类型与聚类结果相关联,聚类结果同一类别包含的年份发生的气候异常事件具有一致性,即在同一类别下1995年、1997年为强El Niño年;1998年、2007、年、2009年为正常年份;2010年为强La Niña年;1999年、2000年、2001年为La Niña年;1996年、2008年为La Niña年;2002年、2004年为El Niño年。研究认为,中心渔场的年际聚类变化与El Niño、La Niña事件的发生分布具有很强的相关性,因此可以利用El Niño、La Niña指标来预测渔场的年间和月份间的变化。Abstract: According to production statistics from tuna purse seine fishery during 1995 to 2010, cluster analysis of purse seine fishery by year and month different time scale is analyzed. Combined with sea surface temperature (SST) and Niño 3.4 zone index, the causes of different fishing ground type are discussed. The studies shown that the frequency distribution of abnormal weather events (El Niño and La Niña events)are closely related to the class of clustering results of fishing ground in a monthly time scale, which can be divided into the following phases, i.e. January to March, April to June, July to September and October to December, this results is basically consistent with the time range of clustering results of fishing ground. Compared with center of clustering fishing ground and classification statistical of El Niño and La Niña events, it is found that the type of abnormal climate event associated with the results of clustering. Under the same category, the first category is in 1995 and 1997 with strong El Niño years, the second category is 1998, 2007 and 2009 with normal year, the third category is 2010 with a strong La Niña year, the fourth category is 1999, 2000 and 2001 with La Niña years, the fifth category is 1996 and 2008 with La Niña Year, and category VI is 2002 and 2004 with El Niño years. It is concluded that the changing annual fishing grounds has a strong correlation with the occurrence of El Niño and La Niña events, the index of the El Niño and La Niña can be used to predict the changes of fishing grounds at year and month scales.
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Matear R J, Chamberlain M A, Sun C, et al. Climate change projection for the western tropical Pacific Ocean using a high-resolution ocean model:implications for tuna fisheries[J]. Deep-Sea Research Part Ⅱ:Topical Studies in Oceanography, 2015, 113:22-46. 朱江峰, 戴小杰. 中西太平洋金枪鱼围网渔业现状及我国发展对策[J]. 中国渔业经济, 2009, 27(1):115-119. Zhu Jiangfeng, Dai Xiaojie. China development stagey on tuna fishery in western and central Pacific[J]. Chinese Fisheries Economics, 2009, 27(1):115-119. 唐峰华, 崔雪森, 杨胜龙, 等. 海洋环境对中西太平洋金枪鱼围网渔场影响的GIS时空分析[J]. 南方水产科学, 2014, 10(2):18-26. Tang Fenghua, Cui Xuesen, Yang Shenglong, et al. GIS analysis on effect of temporal and spatial patterns of marine environment on purse seine fishery in the western and central Pacific[J]. South China Fisheries Science, 2014, 10(2):18-26. 徐冰, 陈新军, 田思泉, 等. 厄尔尼诺和拉尼娜事件对秘鲁外海茎柔鱼渔场分布的影响[J]. 水产学报, 2012, 36(5):696-707. Xu Bing, Chen Xinjun, Tian Siquan, et al. Effects of El Niño/La Niña on distribution of fishing ground of Dosidicus gigas off Peru waters[J]. Journal of Fisheries of China, 2012, 36(5):696-707. 周甦芳. 厄尔尼诺-南方涛动现象对中西太平洋鲣鱼围网渔场的影响[J]. 中国水产科学, 2005, 12(6):739-744. Zhou Sufang. Impacts of the El Niño-Southern Oscillation on skipjack tuna purse-seine fishing grounds in the Western and Central Pacific Ocean[J]. Journal of Fishery Sciences of China, 2005, 12(6):739-744. Lehodey P, Senina I, Nicol S, et al. Modelling the impact of climate change on South Pacific albacore tuna[J]. Deep-Sea Research Part Ⅱ:Topical Studies in Oceanography, 2015, 113:246-259. 杜云艳, 周成虎, 邵全琴, 等. 东海区海洋渔业资源环境的空间聚类分析[J]. 高技术通讯, 2002, 12(1):91-95. Du Yunyan, Zhou Chenghu, Shao Quanqin, et al. Extracting spatio-temporal patterns from ocean fishery dataset in East China Sea using spatial cluster[J]. Chinese High Technology Letters, 2002, 12(1):91-95. 谢中华. MATLAB统计分析与应用:40个案例分析[M]. 北京:北京航空航天大学出版社, 2010:292-295. Xie Zhonghua. MATLAB Statistical Analysis and Application of Case Studies 40[M]. Beijing:Beijing University of Aeronautics and Astronautics Press, 2010:292-295. Runyon R P, Haber A, Coleman K A. Behavioral statistics:the Core[M]. Core, 1994. 郭爱, 陈新军. ENSO与中西太平洋金枪鱼围网资源丰度及其渔场变动的关系[J]. 海洋渔业, 2005, 27(4):338-342. Guo Ai, Chen Xinjun. The relationship between ENSO and tuna purse-seine resource abundance and fishing grounds distribution in the Western and Central Pacific Ocean[J]. Marine Fisheries, 2005, 27(4):338-342. 胡奎伟, 许柳雄, 陈新军, 等. 海洋遥感在渔场分析中的研究进展[J]. 中国水产科学, 2012, 19(6):1079-1088. Hu Kuiwei, Xu Liuxiong, Chen Xinjun, et al. Application of ocean remote sensing on fishing ground analysis:a review[J]. Journal of Fishery Sciences of China, 2012, 19(6):1079-1088. 王少琴, 许柳雄, 朱国平, 等. 中西太平洋金枪鱼围网的黄鳍金枪鱼CPUE时空分布及其与环境因子的关系[J]. 大连海洋大学学报, 2014, 29(3):303-308. Wang Shaoqin, Xu Liuxiong, Zhu Guoping, et al. Spatial-temporal profiles of CPUE and relations to environmental factors for yellowfin tuna Thunnus albacores from purse-seine fishery in Western and Central Pacific Ocean[J]. Journal of Dalian Ocean University, 2014, 29(3):303-308. 靳少非, 樊伟. 鲣鱼资源开发利用研究现状及未来气候变化背景下研究展望[J]. 渔业信息与战略, 2014, 29(4):272-279. Jin Shaofei, Fan Wei. Review and perspectives on skipjack tuna fishery under global climate change[J]. Fishery Information & Strategy, 2014, 29(4):272-279. 郭爱, 陈新军, 范江涛. 中西太平洋鲣鱼时空分布及其与ENSO关系探讨[J]. 水产科学, 2010, 29(10):591-596. Guo Ai, Chen Xinjun, Fan Jiangtao. Spatial and temporal distribution of skipjack and relationship with ENSO in the West-central Pacific Ocean[J]. Fisheries Science, 2010, 29(10):591-596. 胡奎伟, 朱国平, 王学昉, 等. 中西太平洋鲣鱼丰度的时空分布及其与表温的关系[J]. 海洋渔业, 2011, 33(4):417-422. Hu Kuiwei, Zhu Guoping, Wang Xuefang, et al. Spatio-temporal distribution of skipjack tuna (Katsuwonus pelamis) abundance and its relationship with sea surface temperature in Western and Central Pacific Ocean[J]. Marine Fisheries, 2011, 33(4):417-422.
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