Spatial and Temporal Distribution of the Fishing Ground Gravity of Thunnus alalunga in Western and Central Pacific
XU Zhenqi1, WANG Jintao1,2,3,4,5, LEI Lin1,2,3,4,5, CHEN Xinjun1,2,3,4,5
1. College of Marine Sciences, Shanghai Ocean University, Shanghai 201306, China; 2. Key Laboratory of Oceanic Fisheries Exploration, Ministry of Agriculture and Rural Affairs, Shanghai 201306, China; 3. National Engineering Research Center for Oceanic Fisheries, Shanghai 201306, China; 4. Key Laboratory of Sustainable Exploitation of Oceanic Fisheries Resources, Ministry of Education, Shanghai 201306, China; 5. Scientific Observing and Experimental Station of Oceanic Fishery Resources, Ministry of Agriculture and Rural Affairs, Shanghai 201306, China
Abstract：As a highly migratory oceanic fish, Thunnus alalunga has high economic value. The research and analysis of the spatial and temporal distribution of its resources are the basis for further efficient development and utilization and improvement of operational efficiency. This paper was based on the world longline fishing data of Thunnus alalunga in the Western and Central Pacific Ocean from 2009 to 2018. Combined with the data, the monthly variation trend and spatial distribution characteristics of Thunnus alalunga resources were explored by using statistics and K-means clustering method. The results showed that the center of gravity of the fishing ground is mainly distributed in the range of E 155°—W 160° and S 15°—S 30° during 2009—2018. The Northern Hemisphere winter (from December to February of the next year) is mainly concentrated in the low latitude area of the northern hemisphere (N 0°—N 10°), the center of gravity of fishing ground shifts to the northwest, and the southern hemisphere winter (from June to August) is mainly concentrated in the low latitude area of the southern hemisphere (S 12°—S 22.5°), the center of gravity of the fishing ground shifted to the southeast. The spatial and temporal distribution of the center of gravity of the fishing ground is significantly affected by the sea surface temperature anomaly. When the SSTA is higher, the center of gravity of the fishing ground is scattered in the central sea area, and when the SSTA is relatively lower, the center of gravity of the fishing ground shifts to the southeast and northwest. The results are helpful to the sustainable development, utilization and scientific management of Thunnus alalunga in this sea area.
许振琦, 汪金涛, 雷林, 陈新军. 中西太平洋长鳍金枪鱼渔场重心时空分布研究[J]. 水产科学, 2023, 42(4): 604-612.
XU Zhenqi, WANG Jintao, LEI Lin, CHEN Xinjun. Spatial and Temporal Distribution of the Fishing Ground Gravity of Thunnus alalunga in Western and Central Pacific. Fisheries Science, 2023, 42(4): 604-612.
[1]陈新军,郑波.中西太平洋金枪鱼围网渔业鲣鱼资源的时空分布[J].海洋学研究,2007,25(2):13-22. [2]戴小杰,谷兵.密克罗尼西亚海域金枪鱼延绳钓生产比较[J].中国渔业经济,2002,20(4):50-43. [3]戴小杰,谷兵.密克罗尼西亚联邦海域的金枪鱼渔业近况[J].海洋渔业,2002,24(3):151-152. [4]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. [5]李世通,唐衍力.瓦努阿图及周边海域金枪鱼延绳钓上钩率和渔场分布的初步研究[J].水产科学,2017,36(6):714-721. [6]陈锦淘,戴小杰,谷兵.中国南太平洋长鳍金枪鱼业发展对策的分析[J].中国渔业经济,2005,23(2):49-50. [7]刘洪生,蒋汉凌,戴小杰.中西太平洋长鳍金枪鱼渔场与海温的关系[J].上海海洋大学学报,2014,23(4):602-607. [8]袁红春,谭明星,顾怡婷,等.基于空间自回归和空间聚类的渔情预报模型[J].海洋科学,2015,39(12):165-172. [9]唐衍力,徐湛.中西太平洋长鳍金枪鱼(Thunnus alalunga)延绳钓渔场分布的时空变化[J].渔业科学进展,2015,36(3):22-29. [10]BRIAND K, MOLONY B, LEHODEY P. A study on the variability of albacore (Thunnus alalunga) longline catch rates in the southwest Pacific Ocean[J].Fisheries Oceanography,2011,20(6):517-529. [11]闫敏,张衡,伍玉梅,等.2011年南太平洋长鳍金枪鱼渔场时空分布及其与主要海洋环境变化特征[J].渔业信息与战略,2015,30(2):119-127. [12]DUFOUR F, ARRIZABALAGA H, IRIGOIEN X, et al. Climate impacts on albacore and bluefin tunas migrations phenology and spatial distribution[J].Progress in Oceanography,2010,86(1/2):283-290. [13]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. [14]宫鹏,王德兴,袁红春,等.基于LightGBM的南太平洋长鳍金枪鱼渔场预报模型研究[J].水产科学,2021,40(5):762-767. [15]GOÑI N, DIDOUAN C, ARRIZABALAGA H, et al. Effect of oceanographic parameters on daily albacore catches in the Northeast Atlantic[J].Deep Sea Research Part II:Topical Studies in Oceanography,2015,113:73-80. [16]LAN K W, KAWAMURA H, LEE M G, et al. Relationship between albacore (Thunnus alalunga) fishing grounds in the Indian Ocean and the thermal environment revealed by cloud-free microwave sea surface temperature[J].Fisheries Research,2012,113(1):1-7. [17]朱伟俊,许柳雄,江建军,等.北太平洋长鳍金枪鱼渔业生物学特性的初步研究[J].大连海洋大学学报,2015,30(5):546-552. [18]牙韩争,高劲松,董德信.北部湾海表面温度变化特征及其影响因素分析[J].广西科学,2015,22(3):260-265. [19]方舟,陈洋洋,陈新军,等.中西太平洋鲣渔场时空分布研究[J].海洋渔业,2019,41(2):149-159. [20]汪金涛,陈新军.中西太平洋鲣鱼渔场的重心变化及其预测模型建立[J].中国海洋大学学报(自然科学版),2013,43(8):44-48. [21]曹晓怡,周为峰,樊伟,等.印度洋大眼金枪鱼、黄鳍金枪鱼延绳钓渔场重心变化分析[J].上海海洋大学学报,2009,18(4):466-471. [22]WANG J T, CHEN X J, CHEN Y. Spatio-temporal distribution of skipjack in relation to oceanographic conditions in the west-central Pacific Ocean[J].International Journal of Remote Sensing,2016,37(24):6149-6164. [23]IInter-American Tropical Tuna Commission. Status of albacore tuna in the Pacific Ocean[R].IATTC Stock Assessment Report 1,2001:255-283. [24]POLOVINA J J, HOWELL E, KOBAYASHI D R, et al. The transition zone chlorophyll front, a dynamic global feature defining migration and forage habitat for marine resources[J].Progress in Oceanography,2001,49(1/2/3/4):469-483. [25]YASUDA I. Hydrographic structure and variability in the kuroshio-oyashio transition area[J].Journal of Oceanography,2003,59(4):389-402. [26]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. [27]TURK D, MCPHADEN M J, BUSALACCHI A J, et al. Remotely sensed biological production in the equatorial Pacific[J].Science,2001,293(5529):471-474. [28]CHAVEZ F P, STRUTTON P G, FRIEDERICH G E, et al. Biological and chemical response of the equatorial Pacific Ocean to the 1997-98 El Niño[J].Science,1999,286(5447):2126-2131. [29]LU H J, LEE K T, LIN H L, et al. Spatio-temporal distribution of yellowfin tuna Thunnus albacares and bigeye tuna Thunnus obesus in the Tropical Pacific Ocean in relation to large-scale temperature fluctuation during ENSO episodes[J].Fisheries Science,2001,67(6):1046-1052. [30]陈洋洋,陈新军.厄尔尼诺/拉尼娜现象对中西太平洋鲣资源丰度的影响[J].上海海洋大学学报,2017,26(1):113-120. [31]陈杭徽,吴晓雪,范江涛,等.2015年超强厄尔尼诺事件对西北太平洋柔鱼渔场变动的影响[J].中国水产科学,2020,27(10):1243-1253. [32]樊伟,张晶,周为峰.南太平洋长鳍金枪鱼延绳钓渔场与海水表层温度的关系分析[J].大连水产学院学报,2007,22(5):366-371. [33]李媛洁,陈新军,汪金涛,等.东南太平洋智利竹荚鱼资源渔场时空分布[J].上海海洋大学学报,2019,28(4):616-625. [34]冯波,陈新军,许柳雄.多变量分位数回归构建印度洋大眼金枪鱼栖息地指数[J].广东海洋大学学报,2009,29(3):48-52.
2023, Vol. 42 
