西北太平洋秋刀鱼渔场分布及与海水表层温度的关系分析

根据2003~2004年西北太平洋秋刀鱼资源调查结果,对西北太平洋秋刀鱼渔场分布及其与海水表层温度(SST)的关系进行分析。结果表明,7~9月西北太平洋秋刀鱼渔场主要集中在40.5°N~44.5°N、151.5°E~158°E,SST为10℃~19℃,捕捞群体以中大型个体为主;各月最高产量及最大CPUE时的SST各不相同,渔场的形成和丰度与亲潮和黑潮的势力强弱及其分布密切相关。经K-S检验,结果表明,各月SST与产量及样本平均体长、平均体重的差异均不显著。这些渔场可作为我国远洋鱿钓渔业的兼作渔场。     

2004年北太平洋柔鱼钓产量分析及作业渔场与表温的关系

根据2004年5~11月我国鱿钓船在北太平洋生产数据,结合表温资料,按经纬度1°×1°的格式,利用Marineexplorer 4.0软件作图进行柔鱼钓产量及渔场与表温的关系分析。结果表明,5~7月在160°E以东海域作业,产量较低;8~10月在150°~160°E海域作业,为生产作业的产量高峰期,占总产量的62.5%;11月在150°E以西海域作业,产量也较低。在150°E以西海域CPUE最高,150°~160°E中部海域次之,160°E以东海域最低。作业渔场的适宜表温呈现出季节性变化。各月适宜表温分别为:5月12~14℃;6月15~16℃;7月14~16℃;8月18~19℃;9月16~17℃;10月15~16℃;11月12~13℃。     

基于频度统计和神经网络的北太平洋柔鱼渔场预报模型比较

利用2004~2010年北太平洋鱿钓船队生产数据和海洋环境数据,以海表温度(SST)1℃、海面高度(SSH)为1 cm、叶绿素a浓度(CHL-a)为0.1 mg/m3的间距,分析作业产量、CPUE与SST、SSH、CHL-a的关系,得到柔鱼渔场适宜环境因子范围,并将生产数据和环境数据匹配组成样本集,建立北太平洋柔鱼空间分布BP神经网络模型;利用2011年环境数据预报柔鱼渔场,并与2011年实际生产数据进行对比。结果表明,6~10月各月实际作业位置落入基于频度统计方法预报渔场的概率达90%以上;而BP模型预报的平均精度为79.2%,最低精度为52.5%。基于多环境因子的频度统计柔鱼渔场预报模型优于神经网络模型。     

2000年5～7月北太平洋海域水温分布及柔鱼渔场研究

对 2 0 0 0年 5～ 7月北太平洋中东部海域鱿钓探捕调查所获的不同深度海水温度和柔鱼渔获量等资料进行分析 ,结果表明在西经调查水域的 1 74°W和 1 71°W附近 ,1 0 0m ,2 0 0m和 3 0 0m水温分布均形成明显的暖水舌 ,其特征水温依次为 1 0～ 1 1℃ ,9～ 1 0°C及 8～ 9°C ;在东经调查水域 ,表层以下各层水温较往年有所偏低 1～ 2度。分析结果还表明 ,西经调查水域的中心渔场均处在暖水舌前锋一侧 ,中心渔场形成的水温指标为 :表层 1 3～ 1 4°C ,1 0 0m水层 1 0～ 1 1°C、2 0 0m水层 9～ 1 0°C及 3 0 0m水层 8～ 9°C ;在东经调查水域 ,调查期间没有形成中心渔场 ,这可能与深层水温偏低有关     

北太平洋150°E-165 °E海域柔鱼重心渔场的年间变动

利用空间距离和灰色关联度分析方法对1995～2001年间北太平洋150°E—165°E柔鱼作业渔场的重心分布进行比较研究,1995～1997年8～10月份作业渔场的重心与1998～2001年存在着较大的差异,前者基本上在150°E—153°30E的42°30′N以南海域,而后者位于155°E-161°E的42°45′N以北海域。聚类结果表明,8月份作业渔场重心分为三类:1998～2001年为一类,1996～1997年为一类,而1995年为一类。9月份产量重心与作业渔船重心的聚类结果则有所不同,产量重心的聚类结果为四类,即1999～2001年为一类,1997、1996年为一类,1998年和1995年各为一类;而作业渔船重心的聚类结果则分为三类,即1999～2001年为一类,1995～1997年为一类,1998年为一类;10月份作业渔场重心分为三类;1998、2001和1999年为一类,1995～1997年为一类,2000年为一类。年间的渔场变化可能是由海洋环境条件所引起。灰色关联分析表明,产量重心与作业渔船重心存在一定的差异。8～10月份作业渔场重心的总体变化趋势为向东北偏东移动。     

西北太平洋柔鱼资源与海洋环境的GIS空间分析

本文根据1995～2001年的西北太平洋地区(35°N～45°N,140°E～170°W)巴特柔鱼资源调查与生产的实际情况对柔鱼渔获量进行了研究,并利用同期遥感反演的海洋表层温度数据(SST)和近表层叶绿素a数据(Chlorophylla),拓展了GIS的空间分析功能,定量地研究了我国远洋柔鱼产量与水温、叶绿素等海洋要素场之间的关系,揭示西北太平洋柔鱼中心渔场的环境特征,以期为我国西北太平洋海区的鱿鱼生产服务。     

太平洋褶柔鱼秋生群资源补充量预报模型研究

根据日本对太平洋褶柔鱼秋生群体的资源评估报告,以及产卵场海表温度(tSST)、叶绿素a质量浓度(ρChl-a),计算分析太平洋褶柔鱼在产卵期产卵场各月最适表温范围占总面积的比例(PS)、表征产卵场环境的tSST、ρChl-a等多种环境因子与单位捕捞努力量的渔获量(CPUE)的相关性,建立多种基于主要环境因子的资源补充量预报模型。结果表明:太平洋褶柔鱼资源补充量与各月的tSST的相关系数最大值海域分别为10月份的Point1(33.5°N,129.5°E)、11月份的Point2(31°N,127°E)和12月份的Point3(33.5°N,125°E);与各月的ρChl-a浓度的相关系数最大值海域出现在11月份的Point4(34°N,129.5°E)和12月份的Point5(35°N,130°E)。基于Point1的tSST、Point4的ρChl-a、PS等3个因子作为输入层构建的3-2-1的BP网络结构,2011-2012年的平均预报精度达到最高,为91.5%,该模型可用于太平洋褶柔鱼资源补充量的预测。     

2006年北太平洋柔鱼作业渔场时空变化及其与表温的关系

<正>柔鱼(Ommastrephes bartramii)广泛分布在北太平洋,20世纪70年代初首先由日本鱿钓船开发,我国大陆于1993年开始利用该资源,1994年进行较大规模地商业性生产。目前北太平洋鱿钓渔业已成为我国远洋渔业的支柱[1]。据估计,历史上北太平洋柔     

2000年西南大西洋阿根廷滑柔鱼产量分布及其与表温关系的初步研究

根据2000年中国鱿钓船在西南大西洋的生产统计和表温资料,按经纬度1°×1°进行统计,并用渔业地理信息软件MarineExplorer4 .0进行叠加分析。结果表明, 1~5月阿根廷滑柔鱼分布中心集中在45°S、60°W附近海域。各月产量和平均日产量有较大的变动,其中以2~3月为最高。1~5月作业渔场的适宜表温范围为7~14℃,并经过K S检验。但各月的适宜表温有所不同, 2月为11 ~12℃, 3月为10 ~12℃, 4月为8 ~9℃, 5月为7 ~8℃。在表温比往年稍偏高的作业海域,有利于渔场的形成和产量提高。     

北太平洋柔鱼(Ommastrephes bartramii)资源渔场研究进展

分析柔鱼的资源现状、种群结构、洄游和集群分布等,介绍其渔场形成、类型、分布以及影响渔场时空分布的海洋环境因子,并以柔鱼早期生活史为线索,分析了影响柔鱼资源补充量的环境因子、气候条件,并归纳了柔鱼渔场预报模型及资源评估常用模型。研究认为,今后应开展国际合作,加强对北太平洋柔鱼生活史过程的研究,了解其产卵场和索饵场的范围,以及洄游路线及时空变化规律,分析大尺度范围气候变化、捕捞作业、被捕食压力等对其资源的影响,结合海洋遥感、地理信息系统、物理海洋学等学科,开展多学科合作,对其种群动力学过程进行系统研究。     

Modeling a habitat suitability index for the eastern fall cohort of Ommastrephes bartramii in the central North Pacific Ocean

The eastern fall cohort of the neon flying squid, Ommastrephes bartramii, has been commercially exploited by the Chinese squid jigging fleet in the central North Pacific Ocean since the late 1990s. To understand and identify their optimal habitat, we have developed a habitat suitability index (HSI) model using two potential important environmental variables - sea surface temperature (SST) and sea surface height anomaly (SSHA) - and fishery data from the main fishing ground (165°-180°E) during June and July of 1999-2003. A geometric mean model (GMM), minimum model (MM) and arithmetic weighted model (AWM) with different weights were compared and the best HSI model was selected using Akaike’s information criterion (AIC). The performance of the developed HSI model was evaluated using fishery data for 2004. This study suggests that the highest catch per unit effort (CPUE) and fishing effort are closely related to SST and SSHA. The best SST- and SSHA-based suitability index (SI) regression models were SISST-based = 0.7SIeffort-SST + 0.3 SICPUE-SST, and SISSHA-based = 0.5SIeffort-SSHA + 0.5SICPUE-SSHA, respectively, showing that fishing effort is more important than CPUE in the estimation of SI. The best HSI model was the AWM, defined as HSI=0.3SISST-based+ 0.7SISSHA-based, indicating that SSHA is more important than SST in estimating the HSI of squid. In 2004, monthly HSI values greater than 0.6 coincided with the distribution of productive fishing ground and high CPUE in June and July, suggesting that the models perform well. The proposed model provides an important tool in our efforts to develop forecasting capacity of squid spatial dynamics.     

Natural mortality estimation and rational exploitation of purpleback flying squid Sthenoteuthis oualaniensis in the southern South China Sea

Based on the biological data of purpleback flying squid(Sthenoteuthis oualaniensis)collected by light falling-net in the southern South China Sea(SCS) during September to October 2012 and March to April 2013,growth and mortality of 'Medium' and 'Dwarf' forms of squid are derived using the Powell-Wetherall,ELEFAN methods and length-converted catch curves(FiSAT package).Given a lack of commercial exploitation,we assume total mortality to be due entirely to natural mortality.We estimate these squid have fast growth,with growth coefficients(k) ranging from 1.42 to 2.39,and high natural mortality(M),with estimates ranging from 1.61 to 2.92.To sustainably exploit these squid stocks,yield per recruitment based on growth and natural mortality was determined using the Beverton-Holt dynamic pool model.We demonstrate squid stocks could sustain high fishing mortality and low ages at first capture,with an optimal fishing mortality 3.0,with the optimal age at first capture increased to 0.4-0.6 years when fishing mortality approached optimal levels.On the basis of our analyses and estimates of stock biomass,we believe considerable potential exists to expand the squid fishery into the open SCS,relieving fishing pressure on coastal waters.     

A comparative study of spatially clustered distribution of jumbo flying squid (<Emphasis Type="Italic">Dosidicus gigas</Emphasis>) offshore Peru

We examined spatially clustered distribution of jumbo flying squid (Dosidicus gigas) in the offshore waters of Peru bounded by 78°–86°W and 8°–20°S under 0.5°×0.5° fishing grid. The study is based on the catch-per-unit-effort (CPUE) and fishing effort from Chinese mainland squid jigging fleet in 2003–2004 and 2006–2013. The data for all years as well as the eight years (excluding El Niño events) were studied to examine the effect of climate variation on the spatial distribution of D. gigas. Five spatial clusters reflecting the spatial distribution were computed using K-means and Getis-Ord Gi* for a detailed comparative study. Our results showed that clusters identified by the two methods were quite different in terms of their spatial patterns, and K-means was not as accurate as Getis-Ord Gi*, as inferred from the agreement degree and receiver operating characteristic. There were more areas of hot and cold spots in years without the impact of El Niño, suggesting that such large-scale climate variations could reduce the clustering level of D. gigas. The catches also showed that warm El Niño conditions and high water temperature were less favorable for D. gigas offshore Peru. The results suggested that the use of K-means is preferable if the aim is to discover the spatial distribution of each sub-region (cluster) of the study area, while Getis-Ord Gi* is preferable if the aim is to identify statistically significant hot spots that may indicate the central fishing ground.     

A comparison of fishery biology of jumbo flying squid, Dosidicus gigas outside three Exclusive Economic Zones in the Eastern Pacific Ocean

Although many studies on the fishery biology of jumbo flying squid, Dosidicus gigas, have been conducted in the coastal areas within Exclusive Economic Zones (EEZs) of various countries due to its commercial and ecological importance, limited biological information is available from waters outside these EEZs. In this paper, we examined D. gigas fishery biology from waters outside Chilean, Peruvian and Costa Rican EEZs, based on the fishery data collected by Chinese jigging vessels during 2006 to 2010. The dominant mantle lengths of D. gigas were 350–450 mm, 250–400 mm and 250–350 mm outside Chilean, Peruvian and Costa Rican EEZs, respectively. Size structure analysis show that a medium-sized group existed mostly in the waters outside the Chilean and Peruvian EEZs, whereas a small-sized group occurred mainly in the waters outside the Costa Rican EEZ. The longevity of the squid outside the Costa Rican EEZ was less than 10 months, while most of those outside Chilean and Peruvian EEZs were about 1–1.5 years and very few large individuals were 1.5–2 years old. A higher percentage of mature individuals existed outside Costa Rican EEZ implying the region as a potential spawning ground, while lower proportions of mature squid outside the Peruvian and Chilean EEZs indicated that spawning may be occurring outside our study area. Spatial differences in sizes at maturity of the squid are thought to be result from different environmental factors especially different temperature and nutrition among the three areas. Stomach-content analysis showed that cannibalism was important in the diet of D. gigas. Stress generated by jigging may increase the incidence of cannibalism.     

Fishery biology of jumbo flying squid Dosidicus gigas off Costa Rica Dome

The jumbo flying squid(Dosidicus gigas) population was surveyed with the help of Chinese squid jigging vessels off the Costa Rica Dome(4°–11°N, 90°–100°W) in 2009 and 2010. The daily catch of D. gigas in the two survey cruises ranged from 0 to 5.5 t and was mostly obtained from the areas bounded by 6°–9°N and 91°–94°W and by 6°30′–7°30′N and 96°–97°W. The sea surface temperature in the areas yielding the most catch ranged from 27.5 to 29℃. The sex ratio of the total catch was 3.75:1(female: male). The mantle length of the squid ranged from 211 to 355 mm(male) and from 204 to 429 mm(female) with an average of 297.9 and 306.7 mm, respectively. In the relationship of the mantle length(mm) and body weight(g) of the squid, there was no significant difference between sexes. The female and male were at a similar maturity, and most individuals are maturing or have matured with a few females being spent. The size(mantle length) and age at the first sexual maturity were 297 mm and 195 d in females, and less than 211 mm and 130 d in males, respectively. Most of the sampled stomachs(70.6%) had no food remains. The major preys of the squids were fish, cephalopods and crustaceans, with the most abundant Myctophum orientale and D. gigas. The preys in more than 65% of the non-empty sampled stomachs evidenced the cannibalism of D. gigas. The results improved current understanding of the fishery biology of D. gigas off the Costa Rica Dome, which may facilitate the assessment and management of relative fishery resources.