韩国金枪鱼渔业概况

韩国在太平洋金枪鱼的产量90％以上捕自中西太平洋区域，在中西太平洋地区的产量保持在21．6-28．1万t之间，平均为25．1万t。过去5年里围网的产量在18.3万t至25.8万t之间波动，平均为21．9万t。鲣鱼和黄鳍金枪鱼的产量各占74．4％和19．2％。韩国延绳钓渔业主要捕捞大眼金枪鱼和黄鳍金枪鱼和少量长鳍金枪鱼，占总产量的86．3％。类金枪鱼和其它鱼类是延绳钓渔业的附加渔获物：过去5年中在中西太平洋的延绳钓渔业产量保持在2．3万t至3．9万t之间。2007年延绳钓渔船和围网渔船的数量各自为112艘和26～28艘，比前年减少10艘延绳钓渔船。     

金枪鱼延绳钓钓具的最适浸泡时间

根据2010年10月—2011年1月金枪鱼延绳钓海上调查数据,分两种起绳方式,建立每次作业每一根支绳的浸泡时间计算模型。将钓具的浸泡时间以1 h为间隔分别统计每个区间的支绳数量及大眼金枪鱼(Thunnus obesus)、黄鳍金枪鱼(Thunnus albacores)的渔获尾数,并计算其钓获率(CPUE)。结果表明:1)大眼金枪鱼和黄鳍金枪鱼的CPUE都随浸泡时间的增加呈现先增后减的趋势,这是由于饵料的诱引效果变化及渔获的丢失引起的;2)二次曲线可拟合浸泡时间与大眼金枪鱼和黄鳍金枪鱼CPUE的关系;3)大眼金枪鱼和黄鳍金枪鱼CPUE最高的浸泡时间分别为9.9 h和10.1 h。建议:1)今后在金枪鱼延绳钓作业中,保证每一根支绳在水中的浸泡时间为9.5~10.5 h,以提高捕捞效率并减少副渔获物;2)可把延绳钓钓具的浸泡时间作为有效捕捞努力量,并用于CPUE的标准化。研究结果可用于提高捕捞效率并减少副渔获物的技术方案制订,并为渔业生产和CPUE的标准化提供科学参考。     

我国发展金枪鱼围网渔业的前景

金枪鱼类因营养价值高而倍受发达国家消费者的喜爱,又因为是大洋性高度洄游鱼类,资源量相对稳定,所以成为远洋渔业国家争夺的目标。金枪鱼类包括13个种,隶属于4个属:金枪鱼属(Thunnus)、鲔属(Euthynnus)、鲣属(Katsuwonus)和舵鲣属(Auxis)。其中最有经济价值而且市场供应量大的有6种:鲣鱼(Katsuwonus pelamis)、黄鳍金枪鱼(Thunnus albacares)、金枪鱼(Thunnus thynnus)、长鳍金枪鱼(Thunnus alalunga)、马苏金枪鱼(Thunnus maccoyii)和肥壮金枪鱼(Thunnus obesus)。以金枪鱼类为捕捞对象的金枪鱼渔业作业方式有围网、延绳钓、曳绳钓、竿钓以及流网等,现在一般采用延绳钓和围网两种。金枪鱼围网的捕捞对象主要是鲣鱼和体型较小的黄鳍金枪鱼,主要用来制作金枪鱼罐头。     

印度洋金枪鱼延绳钓主要渔获种类及分布

根据印度洋金枪鱼管理委员会IOTC的金枪鱼生产数据库,对1967-2004年间印度洋金枪鱼延绳钓主要渔获种类的产量按年进行汇总和基于5度格网进行了空间上的统计,采用GIS软件制作了印度洋金枪鱼延绳钓主要渔获种类的捕捞产量的地理空间分布图,分析了其资源的空间分布特征。分析结果表明,大眼金枪鱼Thunnus obesus、黄鳍金枪鱼Thunnus albacares、长鳍金枪鱼Thun-nus alalunga和剑鱼Xiphias gladius是印度洋金枪鱼延绳钓的主要渔获种类,其产量之和占到总产量的90%,这4种印度洋金枪鱼延绳钓的主要渔获种类从1967-2004年的产量均呈上升趋势,但产量的峰谷变化各不相同;空间分布特征研究表明,尽管在印度洋海域分布范围广泛,但产量丰沛的区域存在明显差异。     

灯光罩网渔船兼作金枪鱼延绳钓捕捞试验

2015年3月~4月利用"粤电渔42212"灯光罩网渔船在南沙北部海域开展了金枪鱼延绳钓捕捞试验。延绳钓试验以不影响灯光罩网的正常作业为前提。试验期间,灯光罩网作业40晚,放网297次,平均渔获率336.4kg·h-1,总渔获质量129.6 t,鸢乌贼(Sthenoteuthis oualaniensis)占85.31%,黄鳍金枪鱼(Thunnus albacaes)占0.21%。延绳钓作业7次,放钩2 700枚,总渔获质量1 281.6 kg,剑鱼(Xiphias gladius)和黄鳍金枪鱼分别占72.88%和11.16%;延绳钓平均上钩率和CPUE分别为25.74尾·千钩-1和427.48 kg·千钩-1,其中黄鳍金枪鱼为1.90尾·千钩-1、52.74 kg·千钩-1,剑鱼为3.76尾·千钩-1、291.86 kg·千钩-1。试验证明,金枪鱼延绳钓和灯光罩网的渔场分布恰好一致,作业时间没有冲突。相比发展专业钓船,罩网渔船兼作延绳钓具有投资金额少、生产成本低的优势。建议通过探捕拓展和延长外海渔期,并研究解决金枪鱼保鲜问题。     

北太平洋金枪鱼延绳钓钓钩垂直分布及浸泡时间对渔获物的影响

根据中国金枪鱼延绳钓渔业观察员于2018年9-12月在北太平洋公海(150°W-164°W,30°N-37°N)采集的金枪鱼延绳钓渔获数据,分析了钓钩的垂直分布及浸泡时间与渔获物之间的关系。结果表明,11种主要渔获物钓获深度差异很大,鲣(Katsuwonus pelamis)的平均钓获深度最浅,大青鲨(Prionace glauca)最深;除大青鲨和帆蜥鱼(Alepisaurus ferox)外,其他兼捕鱼类的钓钩深度分布与大眼金枪鱼(Thunnus obesus,目标鱼种)之间差异显著;随着浸泡时间的增加,总渔获率呈先增加后下降的趋势,10~14 h内渔获率较高,且在第10小时达到峰值[1.44尾·(千钩·h)-1];浸泡时间在10~16 h内大眼金枪鱼的渔获率较高,且在第11小时达到峰值[0.45尾·(千钩·h)-1]。研究结果可为渔业生产和CPUE的标椎化提供参考,为制定有效减少兼捕鱼种的管理措施提供科学依据。     

东太平洋热带海域大青鲨繁殖生物学特征

人青鲨（Prionace glauca）是一种大型中上层鲨鱼，隶属于真鲨目、真鲨科、人青鲨属．广泛分布在全球热带和温带海域，最大全长可达到300cm，在南海和东海亦有记录。该鱼生活在海洋上层和沿岸海域。大青鲨是金枪鱼延绳钓渔业的重要兼捕对象，占兼捕猫鱼总渔获尾数的50％，是大西洋公海金枪鱼延绳钓兼捕渔获物中的优势鱼种，     

南印度洋长鳍金枪鱼渔获率与水深温度关系研究

印度洋金枪鱼延绳钓渔业是我国远洋渔业的重要组成部分,海洋不同深度的水温影响到长鳍金枪鱼(Thunnus alalunga)延绳钓渔获率。文章利用2008—2017年延绳钓生产作业数据,并结合Argo浮标水温数据,采用广义加性模型(Generalized additive model, GAM)分析长鳍金枪鱼空间分布与不同深度水温之间的关系。结果表明,海表面(0 m)、200和400 m 3个水层的温度显著影响长鳍金枪鱼的空间分布,最优的GAM模型对渔获率(单位捕捞努力量渔获量,Catch per unit effort, CPUE)的方差解释率为53.3%,模型拟合的决定系数为0.527。长鳍金枪鱼渔获率与所选取的3个水层温度均呈非线性关系,高渔获区集中分布于17～30℃的表层海域,17～20℃的200 m层海域,9～15℃的400 m层海域,以及他们的交集海线。文章初步得出了南印度洋长鳍金枪鱼空间分布与水深断面温度的关系,可为指导长鳍金枪鱼的合理生产提供技术支撑。     

中西太平洋终于成立了区域性的金枪鱼类资源的管理委员会

据《2001年金枪鱼渔业年监》的统计资料，2000年世界三大洋金枪鱼类(大眼、黄鳍、长鳍金枪鱼和鲣鱼，下同)的总产量为380．9万t，其中捕自大西洋的为44．4万t(占12％)，捕自印度洋的为85．5t(占22％)，捕自中东太平洋的为61.3万t(占16％)，捕自中西太平洋的为189．7万t(占50％)，表明中西太平洋是为全球捕捞金枪鱼类的重要水域。     

印度洋黄鳍金枪鱼渔业与资源现状

印度洋金枪鱼渔业自50年代初期开始，产量持续增长，到2003年，三种热带金枪鱼类（黄鳍、肥壮、鲣鱼）产量为112.3万吨。其中黄鳍金枪鱼产量为45.78万吨，占全球黄鳍金枪鱼产量（154．7万吨）的29％。按作业方式，黄鳍金枪鱼产量的42％为围网作业捕获，23％为延绳钓作业捕获，21％为流刺网作业捕获，其余由手、竿钓、饵料船等作业捕获。根据2005年资源评估，2003年黄鳍捕捞量明显过高，资源处于过度开发状态。近几年产量已接近甚至超过最大持续可捕量30-35万吨。为减少FAD对黄鳍仔鱼误捕量，建议规定最小捕捞规格和上岸率以及减少流木集群围网（FAD）数量。     

中西太平洋金枪鱼围网渔获物组成分析

根据 2 0 0 4年 7月 2 8日至 9月 1日在中西太平洋海域的金枪鱼围网生产调查结果 ,以及“金汇 2号”2 0 0 3年全年的生产数据 ,对中西太平洋金枪鱼围网渔获物组成进行了初步分析。结果显示 ,渔获物种类有鲣鱼 (Katsuwonuspelamis)、黄鳍金枪鱼 (Thunnusalbacares)和大眼金枪鱼 (Thunnusobesus)等 19种 ;渔获物重量组成中鲣鱼占 70 .5 1% ,黄鳍金枪鱼占 2 6 .92 % ,其它鱼类占 2 .5 6 % ;鲣鱼的叉长范围为 2 7～ 81cm ,优势叉长组为 4 0～ 5 0cm ,占 4 1% ;黄鳍金枪鱼叉长范围为 32～ 16 5cm ,优势叉长组为 5 0～ 70cm ,占 33% ,另一优势叉长组为 110～ 130cm ,占 2 0 % ;渔获物重量组成存在海域差异 ,在 16 2°E以东海域鲣鱼比例高于以西海域 ,黄鳍金枪鱼则是在 16 2°E以西海域的比例较高。     

Tuna and swordfish catch in the U.S. northwest Atlantic longline fishery in relation to mesoscale eddies

To analyze the effects of mesoscale eddies, sea surface temperature (SST), and gear configuration on the catch of Atlantic bluefin (Thunnus thynnus), yellowfin (Thunnus albacares), and bigeye tuna (Thunnus obesus) and swordfish (Xiphias gladius) in the U.S. northwest Atlantic longline fishery, we constructed multivariate statistical models relating these variables to the catch of the four species in 62 121 longline hauls made between 1993 and 2005. During the same 13‐year period, 103 anticyclonic eddies and 269 cyclonic eddies were detected by our algorithm in the region 30–55°N, 30–80°W. Our results show that tuna and swordfish catches were associated with different eddy structures. Bluefin tuna catch was highest in anticyclonic eddies whereas yellowfin and bigeye tuna catches were highest in cyclonic eddies. Swordfish catch was found preferentially in regions outside of eddies. Our study confirms that the common practice of targeting tuna with day sets and swordfish with night sets is effective. In addition, bluefin tuna and swordfish catches responded to most of the variables we tested in the opposite directions. Bluefin tuna catch was negatively correlated with longitude and the number of light sticks used whereas swordfish catch was positively correlated with these two variables. We argue that overfishing of bluefin tuna can be alleviated and that swordfish can be targeted more efficiently by avoiding fishing in anticyclonic eddies and in near‐shore waters and using more light sticks and fishing at night in our study area, although further studies are needed to propose a solid oceanography‐based management plan for catch selection.     

Do habitat models accurately predict the depth distribution of pelagic fishes?

Habitat models are used to correct estimates of fish abundance derived from pelagic longline fishing gear. They combine information on hook depth with the species’ preferences for ambient environmental conditions to adjust the gear's catchability. We compare depth distributions of bigeye tuna (Thunnus obesus) catch predicted by a habitat model with distributions derived from data collected by observers on longliners in the tropical Pacific Ocean. Our analyses show that the habitat model does not accurately predict the depth distribution of bigeye tuna; its predictions are worse than those from models that assume no effect of depth on catches. Statistical models provided superior fits to the observed depth distribution. The poor performance of the habitat model is probably due to (1) problems in estimating hook depth, (2) fine‐scale variations in environmental conditions, (3) incomplete knowledge of habitat preferences and (4) differences between the distribution of bigeye tuna and their vulnerability to longline gear.     

A comparison of circle hook and J hook performance in a western equatorial Atlantic Ocean pelagic longline fishery

Catch composition, catch rates, hooking location, and status at release at haulback were monitored during 81 experimental sets (launches and hauling fishing per day) in a commercial pelagic longline fishery targeting tuna in the equatorial South Atlantic Ocean. Circle hooks (size 18/0, 0° offset) and J-style hooks (size 9/0, 10° offset) with squid baits were deployed in an alternating fashion. The catch composition was not significantly different for most species between the two types of hooks, except for bigeye tuna, which showed a significantly higher proportion of catches on the circle hook (p ? 0.001) and for sailfish, pelagic stingray, and leatherback sea turtle, which had higher catch rates on the J-style hook (p = 0.018, p ? 0.001, and p = 0.044, respectively). Bigeye and yellowfin tuna showed significantly higher rates of survival at the time of gear retrieval with circle hooks, and circle hooks hooked bigeye tuna, yellowfin tuna, swordfish, and sailfish significantly more often externally than internally. Our results suggest that the use of size 18/0, 0° offset circle hooks in the equatorial pelagic longline fishery may increase the survival of bycatch species at the time of gear retrieval with minimal effects on the catches of target species.     

越南开发南海金枪鱼资源的历史和趋势

近十年来,越南将南海的金枪鱼资源作为其＂外向型＂渔业的重要支撑,不断增加捕捞强度,产量逐年升高。本文总结了越南发展南海金枪鱼渔业的过程,分析了南海金枪鱼资源的开发趋势。越南现代化的金枪鱼捕捞技术主要来自日本,使用的渔具主要有金枪鱼延绳钓、手钓、刺网和小型围网,捕捞的种类主要为鲣鱼、黄鳍金枪鱼和大眼金枪鱼,主要作业区域在西沙群岛南部海域和南沙群岛海域。越南2009年金枪鱼的产量已达到5.9×104t,计划2015年达到30×104t。根据越南海洋渔业研究所（RIMF）的评估,南海中西部的金枪鱼资源量为66~67×104t,可捕量23.3×104t,其中鲣鱼的可捕量21.6×104t,黄鳍金枪鱼和大眼金枪鱼的可捕量1.7×104t。随着全球金枪鱼捕捞配额的缩减和越南＂外向型＂渔业经济的发展,越南将继续加强对南海金枪鱼资源的开发。     

Movement and vulnerability of bigeye (Thunnus obesus) and yellowfin tuna (Thunnus albacares) in relation to FADs and natural aggregation points

In Hawaii, a variety of small- and medium-scale pelagic fisheries target fishing effort on a network of coastal moored FADs, natural inshore tuna aggregation points, offshore seamounts and offshore weather monitoring buoys. Large-scale longline vessels also operate in the Hawaii exclusive economic zone (EEZ) and beyond. These circumstances provide an ideal setting for tag-and-release experiments designed to elucidate the movement patterns, residence times, exchange rates and vulnerability of bigeye tuna (Thunnus obesus) and yellowfin tuna (Thunnus albacares) within the Hawaiian EEZ. Preliminary recapture data indicate that FADs, island reef ledges and seamounts exert an overwhelming influence on the catchability of tuna. Recapture rates from these locations vastly outweigh tag returns from open water areas. As of August 31, 1999, a total of l5 387 bigeye and, yellowfin tuna ranging in size from 29 to 133 cm fork length (FL) and from 26 to143 cm FL respectively (mean 59.8 ± 14.1 cm; 58.4 ± 17.3 cm) have been tagged and released throughout the Hawaii EEZ. Recapture rates for both species have been similar with an overall recapture rate of l0.3 %. The location of tag releases reflects the importance of associative behavior and schooling to the vulnerability of tuna; seamounts and FADs accounted for 72.4 % and 23.5 % of all tag releases. Within the main Hawaiian Island group (excluding the offshore seamounts and buoys), 83.1 % of all recaptures have been made on anchored FADs and 11.9 % of recaptures have come from ledges or tuna aggregation areas close to the islands where bigeye and yellowfin tuna become vulnerable to hook and line gear. As these studies continue, additional and longer-term recaptures will provide increasingly detailed information on the movement patterns and vulnerability of bigeye and yellowfin tuna as they grow, move and recruit to different fisheries.     

大西洋南部金枪鱼渔场的生产调查报告

根据随船调查材料，对大西洋南部金枪鱼延绳钓渔业从捕捞技术，渔场环境因素，渔获物情况、初加工、销售等方面做出了总结。本文着重分析了各个作业渔场的渔获情况，判断出八个中心渔场的位置，并就大眼金枪鱼在这几个中心渔场的生物学特征做了统计分析，从而为用地理信息技术预报渔场提供了实施依据。     

大眼金枪鱼渔场与环境关系的研究进展

大眼金枪鱼是金枪鱼远洋渔业的主要捕捞对象。本文从大眼金枪鱼适宜环境因子、大眼金枪鱼渔场变动、资源丰度及其与环境因子间关系的研究方法等几方面总结了大眼金枪鱼渔场与环境关系的研究进展。大眼金枪鱼种群资源丰度的指标主要是CPUE和标准化后的CPUE,CPUE标准化的方法主要是GLM模型和GLM/HBM模型;目前,分析大眼金枪鱼资源变化与环境间关系的研究方法主要有聚类分析法、G IS软件定性分析法和栖息地指数模型。其中,聚类分析适用于研究大眼金枪鱼的渔场变动,包括系统聚类分析法、动态聚类分析法和灰色星座分析法,利用G IS软件定性分析适用于分析单个环境因子对渔场产生的影响;而栖息地指数模型能综合多个环境因子,分析它们共同对渔场产生的影响。     

Habitat analysis of the commercial tuna of the Eastern Tropical Pacific Ocean

We have extracted information on the habitats of bigeye (Thunnus obesus), skipjack (Katsuwonus pelamis) and yellowfin (Thunnus albacares) in the Eastern Tropical Pacific Ocean by matching the spatial‐temporal distribution of catch and effort of purse seine and longline fleets collected by the Inter‐American Tropical Tuna Commission with oceanographic conditions and subjecting the matched data to Quotient Analysis and General Additive Models (GAMs). These analyses yielded the following results. The habitats defined by the GAM analysis of young fish differ significantly between two periods, one before and one after the introduction of fish aggregation devices (FADs). This was not true for the older fish caught by longline. We speculate that these changes were caused by the extensive use of FADs. Younger bigeye and yellowfin caught by the purse seine fleet have a different preference of environmental variables compared to older fish caught by longline. This is to be expected since tuna of different age groups have different sizes, metabolic capabilities and swimming skills. Moreover, as revealed by GAMs, the habitats of young fish differ between species to a much larger degree than those of older fish. Our results indicate the fundamental differences between fishing methods, targeted species, and operating region of the two fisheries. Specifically, young bigeye occupy equatorial waters farther from the coast and where the hypoxic layer is deeper, young skipjack occupy more productive waters associated with equatorial and coastal upwelling, and young yellowfin occupy broad areas where waters are underlain by a shallow hypoxic layer.