西南大西洋拉氏南美南极鱼脂肪酸组成及其食性研究

拉氏南美南极鱼Patagonotothen ramsayi为南极鱼科中数量最多、生态地位非常重要的次南极鱼种,为了解拉氏南美南极鱼的营养动力学与生态功能,利用脂肪酸生物标记法探究了该鱼种的脂肪酸组成及其食性。结果表明:从西南大西洋拉氏南美南极鱼肌肉中共检测出16种脂肪酸,其中含量较高的脂肪酸包括C_(16∶0)、C_(18∶1n9)、C_(20∶5n3)(EPA)和C_(22∶6n3)(DHA),DHA平均含量显著高于EPA(P0.05);多种特征脂肪酸含量与体长存在着显著的相关性,饱和脂肪酸、多不饱和脂肪酸和7种脂肪酸含量与体长之间存在着显著的负相关关系(P0.05),而指示摄食对象营养级高低的DHA/EPA值与体长之间存在着显著的正相关关系(P0.05)。研究表明,拉氏南美南极鱼主要摄食浮游生物和底栖生物,其肉食性特性随体长的增大而增强。     

中西太平洋鲣栖息地指数预报模型比较研究

鲣(Katsuwonus pelamis)是太平洋热带海域重要的金枪鱼种类之一,也是目前我国金枪鱼围网渔船的主要捕捞对象之一。根据1995—2012年中西太平洋海域(5°N-10°S;125°E-135°W)延绳钓生产统计数据,结合海表面温度(SST)和海表面高度(SSH)的遥感数据,利用频次分布法分析了中西太平洋围网鲣分布的SST和SSH适宜范围;采用了外包络法,按季度分别建立了SST、SSH的适应性指数(SI),采用算术平均法(AMM)和几何平均法(GMM)建立栖息地指数(HSI)模型计算其栖息地指数,并用2013年度的捕捞数据进行验证。结果表明,中西太平洋围网鲣多分布在SST为28~30.5℃、SSH为65~95 cm的海域。以捕捞努力量(作业天数)为基础,采用外包络法建立SST、SSH的适应性指数最为合适,各个季度的SST权重分别为0.7、0.6、0.3、0.6的算数平均法适合中西太平洋围网鲣栖息地指数模型。不同季节的环境因子对中西太平洋围网鲣渔场分布有着不同的影响。     

热带大西洋拟锥齿鲨资源动态和空间分布研究

拟锥齿鲨是热带大西洋金枪鱼延绳钓渔业中较为常见的兼捕物种,处于海洋生态系统的顶端,对维持海洋生态系统的稳定性和多样性起着非常重要的作用。根据我国金枪鱼渔业国家观察员2010—2015年在热带大西洋海域调查时收集的1 561尾拟锥齿鲨数据,对其资源动态和空间分布进行了初步分析,结果表明:在研究的海域内(6.33°S~17.43°N,18.25°W~42.03°W),拟锥齿鲨CPUE高的区域为5°N~10°N,20°W~30°W;2010—2015年CPUE呈现波动,整体有上升的趋势,但不显著;软骨鱼类占总渔获物的比例整体呈下降趋势;拟锥齿鲨兼捕数量占总渔获的5.8%,占兼捕软骨鱼类的22.5%;拟锥齿鲨在12月—3月的平均CPUE较高。拟锥齿鲨最大叉长组(叉长范围在85~90 cm)的个体多分布在5°N~7.5°N,27.5°W~37.5°W和5°N~0°,25°W~30°W这两个区域。拟锥齿鲨理论钩获深度范围为140~313 m,平均深度为221 m。1、2、3钩位(140~212 m)的上钩频率最大,占总上钩率的55.59%。10月至次年4月不同月份拟锥齿鲨的钩位分布没有显著性的差异。妊娠期拟锥齿鲨明显分布于较浅的水层。不同钩位拟锥齿鲨的摄食等级无显著性差异。     

全球变暖情景下新疆降水的变化

基于有关水文气象测站的观测资料,对全球变暖背景下新疆降水的时空分布特征、演变趋势与变化原因进行了分析。结果表明:近40年来新疆年降水量总体上呈增加的趋势,并且不同地区降水的区域性差异十分明显。从年代际变化来看,新疆降水从上世纪60年代到80年代中期处于振荡减少阶段,80年中后期以后降水呈振荡增加趋势,且1987年为一个降水突变的拐点;新疆年平均降水量的增加主要应归因于全球变暖所带来的境外输入水汽量的增加。     

热带印度洋大眼金枪鱼垂直分布空间分析

为了解热带印度洋大眼金枪鱼(Thunnus obesus)适宜的垂直和水平空间分布范围,采用Argo浮标剖面温度数据重构热带印度洋10℃、12℃、13℃和16℃月平均等温线场,网格化计算了12℃、13℃等温线深度值和温跃层下界深度差,并结合印度洋金枪鱼委员会(IOTC)大眼金枪鱼延绳钓渔业数据,绘制了12℃、13℃等温线深度与月平均单位捕捞努力渔获量(CPUE)的空间叠加图,用于分析热带印度洋大眼金枪鱼中心渔场 CPUE 时空分布和高渔获率水温的等温线时空分布的关系.结果表明,从垂直分布来看,热带印度洋中心渔场延绳钓高渔获率区域垂直分布在温跃层下界以下,在表层以下150~400 m 深度区间.从水平分布来看,12℃等温线,高 CPUE 区域大多深度值<350 m,众数为225~350 m;深度值超过500 m的区域CPUE普遍较低.13℃等温线,高值CPUE出现的地方大多深度值<300 m,众数为190~275 m;深度值超过400 m的区域CPUE普遍较低.全年在15oS以北区域,高渔获率的垂直分布深度更加集中.采用频次分析和经验累积分布函数,计算其最适次表层环境因子分布,12℃等温线250~340 m;13℃等温线190~270 m;12℃深度差30~130 m;13℃深度差0~70 m.研究初步得出热带印度洋大眼金枪鱼中心渔场适宜的水平、垂直深度值分布区间,可以辅助寻找中心渔场位置,同时指导投钩深度,为热带印度洋金枪鱼实际生产作业和资源管理提供理论支持.     

Testing a model to track fish migrations in polar regions using pop‐up satellite archival tags

The use of pop‐up archival satellite tags (PSATs) to geolocate marine fishes in polar regions is challenging due to the brevity of periods during which there is a defined sunrise and sunset. Models using other environmental parameters are thus required to supplement geolocation data in the estimation of marine migratory routes. The objective of this work was to create a simple method that would estimate the migratory pathways of Atlantic salmon (Salmo salar) in polar regions using temperature and depth recordings. Validated geolocations from PSATs were used to test and constrict the model. The model’s predicted migratory routes were within 100 km of the light‐based geolocations calculated by the tags. By constraining the trajectories through the geolocations, bias was reduced. Sensitivity analyses demonstrated that slight alterations of the location and timing of the start and end points did not affect the mean migratory route estimates. This method is a management tool that can determine the primary habitat areas for any surface‐ or bottom‐dwelling marine species – especially in polar regions, where other methods may be impossible.     

Decadal trends in abundance,size and condition of Antarctic toothfish in McMurdo Sound,Antarctica, 1972–2011

We report the analyses of a dataset spanning 39 years of near‐annual fishing for Dissostichus mawsoni in McMurdo Sound, Antarctica, 1972–2011. Data on total length, condition and catch per unit effort (CPUE) were derived from the > 5500 fish caught, the large majority of which were measured, tagged and released. Contrary to expectation, the length frequency of the McMurdo Sound catch was dominated by fish in the upper two‐thirds of the overall distribution exhibited in the industrial catch for the Ross Sea shelf. Fish length and condition increased from the early 1970s to the early 1990s and then decreased. Fish length positively correlated with Ross Sea ice extent in early spring, a relationship possibly caused by more ice encouraging larger fish to move farther south over the shelf and into the study area. Fish condition positively correlated with the amount of open water in the Ross Sea during the previous summer (Feb), perhaps reflecting greater availability of prey with the higher productivity that more open water brings. Decreasing fish size corresponds to the onset of the fishery, which targets the large individuals. CPUE was constant through 2001 and then decreased dramatically. We hypothesize that this decrease is related to the industrial fishery, which began in the 1996–97 austral summer, and concentrates effort over the ice‐free Ross Sea continental slope. As a result of limited prey choices and close coupling among mesopredators of the region, Antarctic toothfish included, the fishery appears to be dramatically altering the trophic structure of the Ross Sea.     

运用生产力-易捕率指数对10种热带太平洋鲨鱼种群的研究

热带太平洋是全球产量最高的金枪鱼渔场,大洋性鲨鱼种群遭受金枪鱼渔业的影响受到国际社会的高度关注。由于缺少渔业统计资料,一般难以运用标准的资源评估方法对这些兼捕的种类进行评估。笔者运用种群生产力-易捕率分析（productivity-susceptibility analysis,PSA）方法,对热带太平洋10种鲨鱼遭受金枪鱼延绳钓渔业影响的风险程度进行比较分析,并计算风险指数（vulnerability）。风险指数从低到高的种类依次为锤头双髻鲨（Sphyrna zygaena）、路氏双髻鲨（S.lewini）、无沟双髻鲨（S.mokarran）、尖吻鲭鲨（Isurus oxyrinchus）、狐形长尾鲨（Alopias vulpinus）、长鳍真鲨（Carcharhinus longimanus）、大青鲨（Prionace glauca）、镰状真鲨（C.falciformis）、浅海长尾鲨（A.pelagicus）、大眼长尾鲨（A.superciliosus）,表明大眼长尾鲨种群受延绳钓渔业影响而遭受过度捕捞的潜在风险最高,垂头双髻鲨的风险最低。该研究结果可以为热带太平洋金枪鱼延绳钓渔业的管理和生态系统保护提供科学参考。     

Spatio‐temporal trends of sailfish,Istiophorus platypterus catch rates in relation to spawning ground and environmental factors in the equatorial and southwestern Atlantic Ocean

Spatial and temporal trends of sailfish catch rates in the southwestern and equatorial Atlantic Ocean in relation to environmental variables were investigated using generalized additive models and fishery‐dependent data. Two generalized additive models were fit: (i) ‘spatio‐temporal’, including only latitude, longitude, month, and year; and (ii) ‘oceanographic’, including sea surface temperature (SST), chlorophyll‐a concentration, wind velocity, bottom depth, and depth of mixed layer and year. The spatio‐temporal model explained more (average ~40%) of the variability in catch rates than the oceanographic model (average ~30%). Modeled catch rate predictions showed that sailfish tend to aggregate off the southeast coast of Brazil during the peak of the spawning season (November to February). Sailfish also seem to aggregate for feeding in two different areas, one located in the mid‐west Atlantic to the south of ~15°S and another area off the north coast of Brazil. The oceanographic model revealed that wind velocity and chlorophyll‐a concentration were the most important variables describing catch rate variability. The results presented herein may help to understand sailfish movements in the Atlantic Ocean and the relationship of these movements with environmental effects.     

Linking Northeast Pacific recruitment synchrony to environmental variability

We investigated the hypothesis that synchronous recruitment is due to a shared susceptibility to environmental processes using stock–recruitment residuals for 52 marine fish stocks within three Northeast Pacific large marine ecosystems: the Eastern Bering Sea and Aleutian Islands, Gulf of Alaska, and California Current. There was moderate coherence in exceptionally strong and weak year‐classes and correlations across stocks. Based on evidence of synchrony from these analyses, we used Bayesian hierarchical models to relate recruitment to environmental covariates for groups of stocks that may be similarly influenced by environmental processes based on their life histories. There were consistent relationships among stocks to the covariates, especially within the Gulf of Alaska and California Current. The best Gulf of Alaska model included Northeast Pacific sea surface height as a predictor of recruitment, and was particularly strong for stocks dependent on cross‐shelf transport during the larval phase for recruitment. In the California Current the best‐fit model included San Francisco coastal sea level height as a predictor, with higher recruitment for many stocks corresponding to anomalously high sea level the year before spawning and low sea level the year of spawning. The best Eastern Bering Sea and Aleutian Islands model included several environmental variables as covariates and there was some consistent response across stocks to these variables. Future research may be able to utilize these across‐stock environmental influences, in conjunction with an understanding of ecological processes important across early life history stages, to improve identification of environmental drivers of recruitment.