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℃。     

毛里塔尼亚海域底拖网头足类渔场与环境因子的关系研究

根据2010—2015年上海某远洋渔业公司在毛里塔尼亚的生产统计数据,结合卫星遥感资料,研究毛里塔尼亚海域底拖网头足类渔场与表温(SST)、海面高度距平均值(SSHA)、水深等海洋环境因子的关系。结果表明,头足类渔场分布与SST、SSHA、水深等因子关系密切,各月作业渔场的适宜环境范围有一定的差异;作业渔场分布在SST为15~28℃的海域,最适SST范围为16~22℃;作业渔场分布在SSHA为-50~10 cm的海域,最适SSHA范围为-20~-40 cm和-10~10 cm;作业渔场分布水深为10~90 m的海域,最适水深为50~70 m。     

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。     

水温变动对2009年西北太平洋柔鱼产量下降的影响

分布在西北太平洋的柔鱼是我国远洋鱿钓渔业的重要捕捞对象,近些年来其产量一直处在稳定的水平。然而,2009年8～10月旺汛期间在传统作业渔场(150°E～165°E、38°E～46°E)柔鱼产量出现大幅度下降,其日产量仅为正常年份的一半。为此,根据2007～2009年8～10月我国在西北太平洋鱿钓生产数据,以及产卵场表层水温,探讨2009年柔鱼产量下降及渔场变动的原因。研究表明,其产量出现下降的原因可能有2个:(1)柔鱼产卵场(20°N～30°N,130°E～170°E)黑潮大弯曲的发生,使得21℃等温线向南偏移,使得柔鱼资源补充量受到影响,从而使得渔汛期间柔鱼产量的下降;(2)旺汛期间(8～9月)传统作业渔场(42°N～46°N,150°E～165°E)的100m水层有一个明显冷水南下,分布位置为154°E～156°E,将传统作业渔场(150E～165°E)一分为二,向南的前锋(水温低于5℃)到达42°N,明显不同于正常年份,使得作业渔场的范围明显缩小,不适合柔鱼的集群,导致产量出现大幅下降。     

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     

东海中南部海域锈斑蟳渔业生物学和数量分布

研究了1998—1999年东海区虾蟹类调查所获的部分锈斑蟳样品与1998~2004年在东海拖虾作业与蟹笼作业等周年逐月渔获物中采集的锈斑蟳样品的生物学特性,结果表明:东海锈斑蟳渔获群体的甲长范围为26~105mm,甲宽范围为36~165 mm,体重范围为5~610 g,雄性个体平均要略大于雌性个体;周年雌蟹略多于雄蟹,性比为1∶0.94,繁殖期为7~12月,繁殖高峰期为8~10月,不同个体怀卵量在113 867~1 594 167粒之间;调查海区10月开始出现幼蟹,5月生长加速,最小抱卵个体的甲长为60 mm,甲宽为85 mm,体重为110 g。另根据1998~1999年调查资料分析得知:锈斑蟳主要分布在长江口渔场以南水深60 m以内海域,中心区分布在闽东渔场,渔期为11月~翌年2月,是舟山、长江口渔场三疣梭子蟹汛期结束后,蟹笼、流刺网作业的又一主捕对象。     

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。     

印度洋西北海域鸢乌贼9-10月栖息地适宜指数研究

印度洋西北部海域的鸢乌贼(Sthenoteuthis oualaniensis)具有一定的开发潜力,可作为商业性捕捞的对象,准确预报中心渔场可为指导生产提供依据。根据2003、2004年9～10月份期间我国鱿钓船在2°～24°N、57°～69°E海域的探捕数据,结合表温、盐度、海表面高度和叶绿素a,以CPUE作为适应性指数,利用算术平均法(AM)和几何平均法(GM)分别建立基于环境因子的综合栖息地指数模型。结果表明,9月份在栖息地指数(HSI)大于0.8的中心渔场作业次数比例超过24%,平均日产量在5.48 t/d左右;10月份在HSI大于0.8的中心渔场作业次数比例在43%以上,平均日产量在5.2 t/d以上。基于表温、盐度、海表面高度和叶绿素a的HSI模型能较好预测印度洋鸢乌贼中心渔场,且AM模型优于GM模型。     

摩洛哥冬季渔汛底拖网作业渔场时空分布

根据2012—2015年11月至翌年3月(冬季渔汛)上海某渔业公司在摩洛哥海域的底拖网渔船生产统计数据,采用频度分析法和渔场重心法对冬季渔汛底拖网作业渔场时空分布进行研究。结果表明,摩洛哥冬季渔汛底拖网作业渔场分布在15.0°—18.0°W、20.0°—26.0°N海域,经度方向上主要集中在15.5°—16.5°W和17.0°—17.5°W范围内,纬度方向上主要集中在21°—22°N和23°—25°N海域,其产量所占比率在85%以上。渔场重心呈现出规律的分布,基本上分布在1个经纬度范围内。11月份渔场重心分布在16.63°W、23.20°N附近海域;12月—翌年1月份分布在16.53°W、23.03°—23.09°N海域;2月份分布在23.21°N、16.48°W附近海域;3月份分布在23.56°N、16.33°W海域。     

基于遥感水质的夏季东海鲐鱼渔情预报研究

根据2007~2009年7~9月渔汛期间我国鲐鱼灯光围网在东海的生产数据,利用海表温、叶绿素浓度、悬浮物浓度和透明度等遥感水质数据,分别将作业网次比例和单网次产量(CPUE)作为适应性指数,利用算术平均数(AM)和几何平均数(GM)分别建立基于海表温、叶绿素浓度、悬浮物浓度和透明度的综合栖息地指数模型。结果表明,AM栖息地指数模型和GM栖息地指数模型拟合效果较好(P<0.01),在HSI大于0.5的海域,2007~2009年7~9月平均作业网次比例在65%以上,各月平均CPUE均高于19.82 t/net。研究认为,AM模型稍优于GM模型。利用2010年7~9月生产数据及遥感水质数据对AM模型进行验证,分析认为,87%以上的作业网次和产量分布在HSI高于0.5的海域,CPUE为14~17 t/net,且较稳定,波动较小。研究认为,基于遥感水质数据的AM栖息地指数模型能较好地预测东海鲐鱼渔场。     

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     

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。     

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.     

A heat budget study on the mechanism of SST variations in the Indian ocean dipole regions

By using a new heat budget equation that is closely related to the sea surface temperature （SST） and a dataset from an ocean general circulation model （MOM2） with 10-a integration （1987-1996）, the relative importance of various processes determining SST variations in two regions of the Indian Ocean is compared. These regions are defined by the Indian Ocean Dipole Index and will be referred to hereafter as the eastern （0^＊-10^＊S, 90^＊-110^＊E） and western regions （10^＊S- 10^＊N, 50^＊-70^＊E）, respectively. It is shown that in each region there is a falling of SST in boreal summer and a rising in most months of other seasons, but the phases are quite different. In the eastern region, maximum cooling rate occurs in July, whereas in the western region it occurs in June with much larger magnitude. Maximum heating rate occurs in November in the eastern region, but in March in the western one. The western region exhibits another peak of increasing rate of SST in October, indicating a typical half-year period. Net surface heat flux and entrainment show roughly the same phases as the time-varying term, but the former has much larger contribution in most of a year, whereas the latter is important in the boreal summer. Horizontal advection, however, shows completely different seasonal variations as compared with any other terms in the heat budget equation. In the eastern region, it has a maximum in June/November and a minimum in March/ September, manifesting a half-year period; in the western region, it reaches the maximum in August and the minimum in November. Further investigation of the horizontal advection indicates that the zonal advection has almost the opposite sign to the meridional advection. In the eastern region, the zonal advection is negative with a peak in August, whereas the meridional one is positive with two peaks in June and October. In the western region, the zonal advection is negative from March to November with two peaks in June and November, whereas the meridional one is positive with one peak in July. Different phases can be clearly seen between the two regions for each component of the horizontal advection. A detailed analysis of the data of 1994, a year identified when the Indian Ocean dipole event happened, indicates that the horizontal advection plays a dominant role in the remarkable cooling of the eastern region, in which zonal and meridional advections have the same sign of anomaly. However, in the western region in 1994 no any specialty was shown as compared with other years, for the SST anomaly is not positive in large part of this region. All these imply that the eastern and western regions may be related in a quite complex way and have many differences in dynamics. Further study is needed.     

Distribution and migration of the common squidTodarodes pacificus in the Yellow Sea

Study of the distribution and migration of the common squid,Todarodes pacificus Steenstrup,basedon the index of important fishing ground(P) and fisheries statistics on the Yellow Sea and northern EastChina Sea during 1980—1991 showed that:1.Its catch in the fishing period(June to November) is 91.77% of the annual yield.The fishingground distributes over the northem and middle Yel1ow Sea and adjacent area of the Changjiang Estuary.2. It over-winters in the northem East China Sea and waters adjacent to Goto Island from De-cember to February and spawns in waters near Haijiao Is1and and west of Kyushu. The main stock mi-grates along 123°30′E to the ChangJiang Estuary, Haizhou Bay. offsea from Shidao to Qingdao,mideastern Yellow Sea, and offsea Weihai and Haiyang Island succesively for feeding after April. The sur-plus stock migrates again to the wintering ground in December.3.The favorable feeding temperature is 6-23℃(optimum of l3-20℃ in the Changjiang Estua-ry and 7-13℃ in the northern and middle Yel     

The role of barrier layer in southeastern Arabian Sea during the development of positive Indian Ocean Dipole events

Using data from Argo and simple ocean data assimilation (SODA), the role of the barrier layer (BL) in the southeastern Arabian Sea (SEAS: 60°E–75°E, 0°–10°N) is investigated during the development of positive Indian Ocean Dipole (IOD) events from 1960 to 2008. It is found that warmer sea surface temperature (SST) in the northern Indian Ocean appears in June in the SEAS. This warm SST accompanying anomalous southeastern wind persists for six months and a thicker BL and a corresponding thinner mixed layer in the SEAS contribute to the SST warming during the IOD formation period. The excessive precipitation during this period helps to form a thicker BL and a thinner mixed layer, resulting in a higher SST in the SEAS. Warm SST in the SEAS and cold SST to the southeast of the SEAS intensify the southeasterly anomaly in the tropical Indian Ocean, which transports more moisture to the SEAS, and then induces more precipitation there. The ocean-atmosphere interaction process among wind, precipitation, BL and SST is very important for the anomalous warming in the SEAS during the development of positive IOD events.