中西太平洋大眼金枪鱼中心渔场时空分布与温跃层的关系

doi:10.13287/j.1001-9332.201701.013

应用生态学报 ›› 2017, Vol. 28 ›› Issue (1): 281-290.doi: 10.13287/j.1001-9332.201701.013

中西太平洋大眼金枪鱼中心渔场时空分布与温跃层的关系

杨胜龙^1,2, 伍玉梅¹, 张忭忭¹, 张禹¹, 樊伟¹, 靳少非³, 戴阳^1*

¹农业部东海与远洋渔业资源开发利用重点实验室, 上海 200090
²中国水产科学研究院渔业资源与遥感信息技术重点开放实验室, 上海 200090
³中国科学院东北地理与农业生态研究所, 长春 130102

收稿日期:2016-04-26 修回日期:2016-10-20 发布日期:2017-01-18
通讯作者: *E-mail:daiyangbox@163.com
作者简介:杨胜龙,男,1982年生,助理研究员.主要从事远洋渔业遥感和海洋生态研究.E-mail:ysl6782195@126.com
基金资助:
本文由国家自然科学基金项目(41606138)、上海市自然科学基金项目(14ZR1449900)、国家科技支撑计划项目(2013BAD13B01)、上海市科技创新行动计划项目(15DZ1202201)和中央级公益性科研院所基本科研业务费专项(2015M07)资助

Relationship between fishing grounds temporal-spatial distribution of Thunnus obesus and thermocline characteristics in the Western and Central Pacific Ocean

YANG Sheng-long^1,2, WU Yu-mei¹, ZHANG bian-bian¹, ZHANG Yu¹, FAN Wei¹, JIN Shao-fei³, DAI Yang^1*

¹Key Laboratory of East China Sea &Oceanic Fishery Resources Exploitation and Utilization, Ministry of Agriculture, Shanghai 200090, China
²Key and Open Laboratory of Remote Sensing Information Technology in Fishing Resource, Chinese Academy of Fishery Sciences, Shanghai 200090, China
³Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China

Received:2016-04-26 Revised:2016-10-20 Published:2017-01-18
Contact: *E-mail:daiyangbox@163.com
Supported by:
This work was supported by the National Natural Science Foundation of China (41606138), the Natural Science Foundation of Shanghai (14ZR1449900), the Financial Support of Science and Technology Support Program (2013BAD13B01), the Shanghai Science and Technology Innovation Action Plan(15DZ1202201), and the Special Funds of Basic Research of Central Public Welfare Institute (2015M07)

摘要/Abstract

摘要： 采用Argo数据和中西太平洋渔业委员会的大眼金枪鱼延绳钓数据,绘制了温跃层和月平均单位捕捞努力量渔获量(CPUE)的空间叠加图,分析中西太平洋大眼金枪鱼渔场时空分布对温跃层的响应关系.结果表明: 全年中心渔场纬向主要分布在南北纬10°之间的低纬度区域.在赤道以南有季节性中心渔场的出现和消失,与温跃层上界温度、深度和温跃层厚度的积极性变化有关.中心渔场主要分布在温跃层上界较深(70～100 m)和厚度较大(>60 m)的海域,厚度小于40 m的区域难以形成中心渔场;适宜分布的上界温度区间在26～29 ℃,在此区间外CPUE多小于中心渔场阈值(Q3).中心渔场的空间分布随上界深度和跃层厚度的季节性变动而变动,当赤道以南海域的上界深度变浅以及厚度变薄时,中心渔场消失.温跃层下界温度、深度和温跃层强度季节性变化不显著,但与中心渔场出现有显著关系.中心渔场主要分布在温跃层下界深度两条高值带之间的区域,温度低于13 ℃以及强度大的区域;在温跃层下界深度超过300 m和小于150 m区域,下界温度超过17 ℃的区域,或者强度小的区域难以形成中心渔场.利用频次分析和经验累积分布函数计算其适宜温跃层特征参数分布,结果表明研究区域大眼金枪鱼适宜分布的上界温度、深度和下界温度、深度分别是26～29 ℃、70～110 m、11～13 ℃和200～280 m;适宜分布的温跃层厚度和强度分别是50～90 m和0.1～0.16 ℃·m^-1.本研究初步得出研究区域大眼金枪鱼CPUE空间分布和温跃层的关系,为我国远洋金枪鱼捕捞作业和资源管理提供理论参考.

关键词: 中心渔场, 经验累积分布函数, 温跃层, 大眼金枪鱼

Abstract: A thermocline characteristics contour on a spatial overlay map was plotted using data collected on a monthly basis from Argo buoys and data of monthly CPUE (catch per unit effort) bigeye tuna (Thunnus obesus) long-lines fishery from the Western and Central Pacific Fisheries Commission (WCPFC) to evaluate the relationship between fishing grounds temporal-spatial distribution of bigeye tuna and thermocline characteristics in the Western and Central Pacific Ocean (WCPO). In addition, Numerical methods were used to calculate the optimum ranges of thermocline characteristics of the central fishing grounds. The results showed that the central fishing grounds were mainly distributed between 10° N and 10° S. Seasonal fishing grounds in the south of equator were related to the seasonal variations in the upper boundary temperature, depth and thickness of thermocline. The fishing grounds were observed in areas where the upper boundary depth of thermocline was deep (70-100 m) and the thermocline thickness was more than 60 m. The CPUE tended to be low in area where the thermocline thickness was less than 40 m. The optimum upper boundary temperature range for distribution was 26-29 ℃, and the CPUE was mostly lower than the threshold value (Q3) of central fishing grounds when the temperature was higher than 29 ℃ or lower than 26 ℃. The temporal and spatial distribution of the fishing grounds was influenced by the seasonal variations in upper boundary depth and thermocline thickness. The central fishing grounds in the south of equator disappeared when the upper boundary depth of thermocline decreased and thermocline thickness became thinner. The lower boundary temperature and depth of thermocline and thermocline strength has little variation, but were strongly linked to the location of fishing grounds. The fishing grounds were mainly located between the two high-value zones of the lower boundary depth of thermocline, where the temperature was lower than 13 ℃ and the strength was high. When the depth was more than 300 m or less than 150 m, the lower boundary temperature was more than 17 ℃, or the strength was low, the CPUE tended to be low. The optimum range of thermocline characteristics was calculated using frequency analysis and empirical cumulative distribution function. The results showed that the optimum ranges for upper boundary thermocline temperature and depth were 26-29 ℃ and 70-110 m, the optimum lower boundary thermocline temperature and depth ranges were 11-13 ℃ and 200-280 m, the optimum ranges for thermocline thickness and thermocline strength were 50-90 m and 0.1-0.16 ℃·m^-1, respectively. The paper documented the distribution interval of thermocline characteristics for central fishing ground of the bigeye tuna in WCPO. The results provided a reference for improving the efficiency of pelagic bigeye tuna fishing operation and tuna resource management in WCPO.

Key words: empirical cumulative distribution function, bigeye tuna, central fishing grounds, thermocline

杨胜龙, 伍玉梅, 张忭忭, 张禹, 樊伟, 靳少非, 戴阳. 中西太平洋大眼金枪鱼中心渔场时空分布与温跃层的关系[J]. 应用生态学报, 2017, 28(1): 281-290.

YANG Sheng-long, WU Yu-mei, ZHANG bian-bian, ZHANG Yu, FAN Wei, JIN Shao-fei, DAI Yang. Relationship between fishing grounds temporal-spatial distribution of Thunnus obesus and thermocline characteristics in the Western and Central Pacific Ocean[J]. Chinese Journal of Applied Ecology, 2017, 28(1): 281-290.

参考文献

[1] Wang X-F (王学昉), Zhu G-P (朱国平), Sun M-C (孙满昌), et al. Impact of fish aggregation devices on tropical tuna’s behavioral pattern: A review. Chinese Journal of Applied Ecology (应用生态学报), 2012, 23(1): 278-284 (in Chinese)
[2] Zhu G-P (朱国平). Otolith microchemistry of tuna species: Research progress. Chinese Journal of Applied Ecology (应用生态学报), 2011, 22(8): 2211-2218 (in Chinese)
[3] Yang S-L (杨胜龙), Jin S-F (靳少非), Hua C-J (化成君), et al. Spatial-temporal distribution of bigeye tuna Thunnus obesus in the tropical Atlantic Ocean based on Argo data. Chinese Journal of Applied Ecology (应用生态学报), 2015, 26(2): 601-608 (in Chinese)
[4] Dagorn L, Bach P, Josse E. 2000. Movement patterns of large bigeye tuna (Thunnus obesus) in the open ocean, determined using ultrasonic telemetry. Marine Biology,136: 361-371
[5] Musyl MK, Brill RW, Boggs CH, et al. Vertical movements of bigeye tuna (Thunnus obesus) associated with islands, buoys and seamounts near the main Hawaiian Islands from archival tagging data. Fisheries Oceanography, 2003, 12: 152-169
[6] Matsumoto T, Saito H, Miyabe N. Swimming behavior of adult bigeye tuna using pop-up tags in the central Atlantic Ocean. Collective Volume of Scientific Papers of ICCAT, 2006, 57: 151-170
[7] Leroy B, Itano D, Nicol S. Preliminary analysis and observations on the vertical behaviour of WCPO skipjack, yellowfin and bigeye tuna in association with anchored FADs, as indicated by acoustic and archival tagging data. Scientific Committee Third Regular Session, Honolulu, Hawaii, 2007: WCPFC-SC3-BI SWG WP-4
[8] Evans K, Langley A, Clear NP, et al. Behaviour and habitat preferences of bigeye tuna (Thunnus obesus) and their influence on longline fishery catches in the western Coral Sea. Canadian Journal of Fisheries and Aquatic Sciences, 2008, 65: 2427-2443
[9] Schaefer KM, Fuller DW, Block BA. Vertical movements and habitat utilization of skipjack (Katsuwonus pelamis), yellowfin (Thunnus albacares), and bigeye (Thunnus obesus) tunas in the equatorial eastern Pacific Ocean, as ascertained through archival tag data// Niel-sen JL, Arrizabalaga H, Fragoso N, eds. Reviews: Methods and Technologies in Fish Biology and Fishe-ries, Vol 9, Tagging and Tracking of Marine Animals with Electronic Devices. Berlin: Springer, 2009: 121-144
[10] Schaefer KM, Fuller DW. Vertical movements, beha-vior, and habitat of bigeye tuna (Thunnus obesus) in the equatorial eastern Pacific Ocean, ascertained from archival tag data. Marine Biology, 2010, 157: 2625-2642
[11] Howell EA, Hawn DR, Polovina JJ. Spatiotemporal va-riability in bigeye tuna (Thunnus obesus) dive behavior in the central North Pacific Ocean. Progress in Oceano-graphy, 2010, 86: 81-93
[12] Matsumoto T, Kitagawa T, Kimura S. Vertical behavior of bigeye tuna (Thunnus obesus) in the northwestern Pacific Ocean based on archival tag data. Fisheries Oceanography, 2013, 22: 234-246
[13] Chen X-J (陈新军). Fishery Resource Biology and Fishing. Beijing: Ocean Press, 2004: 116-130 (in Chinese)
[14] Yang S-L (杨胜龙), Zhang Y (张禹), Fan W (樊伟), et al. Relationship between the temporal-spatial distribution of fish in bigeye tuna fishing grounds and the thermocline characteristics in the tropical Indian Ocean. Journal of Fishery Sciences of China (中国水产科学), 2012, 19(4): 679-689 (in Chinese)
[15] Yang SL, Ma JJ, Wu YM, et al. Relationship between temporal-spatial distribution of fishing grounds of bigeye tuna (Thunnus obesus) and thermocline characteristics in the Atlantic Ocean. Acta Ecologica Sinica, 2015,35: 1-9
[16] Li YW, Song LM, Gao PF. Development of integrated habitat indices for bigeye tuna, Thunnus obesus, in waters near Palau. Marine and Freshwater Research, 2012,63: 1244-1254
[17] Pelagic Fisheries Research Program(PFRP) Newsletter. Oceanography’s Role in Bigeye Tuna Aggregation and Vulnerability[EB/OL]. (1999-07-29)[2011-04-12] http://www.soest.havaii.edu/PERP/newsletters/July-sept 1999
[18] Prince ED, Goodyear CP. Hypoxia-based habitat compression of tropical pelagic fishes. Fisheries Oceanography, 2006, 15: 451-464
[19] Song L-M (宋利明), Zhang Y (张禹), Zhou Y-Q (周应祺). The relationships between the thermocline and the catch rate of Thunnus albacares and Thunnus obesus in the high seas of the Indian Ocean. Journal of Fisheries of China (水产学报), 2008, 32(3): 369-378 (in Chinese)
[20] Zhou Y-X (周燕遐), Li B-L (李炳兰), Zhang Y-J (张义钧), et al. World oceanic thermocline characte-ristics in winter and summer. Marine Science Bulletin (海洋通报), 2012, 36(7): 97-103 (in Chinese)
[21] Yang S-L (杨胜龙), Jin S-F (靳少非), Wu Z-L (吴祖立), et al. Seasonal variability of key subsurface environmental parameters in tuna fishing ground in the Pacific Ocean. Marine Sciences (海洋科学), 2015, 39(5): 36-46 (in Chinese)
[22] Mainuddin M, Saiton K, Saiton SI. Albacore (Thunnus alalunga) fishing ground in relation to oceanographic conditions in the western North Pacific Ocean using remotely sensed satellite data. Fisheries Oceanography, 2008, 17: 61-73
[23] Matsumoto T, Saito H, Miyabe N. Swimming behavior of adult bigeye tuna using pop-up tags in the central Atlantic. Collective Volume of Scientific Papers ICCAT, 2005, 57: 151-170
[24] Maury O, Gascuel D, Marsac F, et al. Hierarchical interpretation of nonlinear relationships linking yellowfin tuna (Thunnus lbacares) distribution to the environment in the Atlantic Ocean. Canadian Journal of Fisheries and Aquatic Sciences, 2001, 58: 458-469
[25] Brill RW, Bigelow KA, Musyl MK, et al, Bigeye tuna (Thunnus obesus) behavior and physiology and their relevence to stock assessments and fishery biology. Co-llective Volume of Scientific Papers ICCAT, 2005, 57: 142-161
[26] Arrizabalaga H, Pereira JG, Royer F, et al. Bigeye tuna (Thunnus obesus) vertical movements in the Azores Islands determined with pop-up satellite archival tags. Fisheries Oceanography, 2008, 17: 74-83
[27] Hazen EL, Johnston DW. Meridional patterns in the deep scattering layers and top predator distribution in the central equatorial Pacific. Fisheries Oceanography, 2010, 19: 427-433
[28] Marchal E, Gerlotto F, Stequert B. On the relationship between scattering layer thermal structure and tuna abundance in the Eastern Atlantic equatorial current system. Oceanologica Acta,1993, 16: 261-272

中西太平洋大眼金枪鱼中心渔场时空分布与温跃层的关系

Relationship between fishing grounds temporal-spatial distribution of Thunnus obesus and thermocline characteristics in the Western and Central Pacific Ocean

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