山东小清河的原生动物

本文根据对山东小清河多年的污染生态调整研究，报导了淡水原生动物１４种。     

Research on the spectral analysis and test method of period signals in monthly mean sea level

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Application of sequency spectral method to ocean and atmosphere data analysis

I~IOWIn recent years, with the development of the nonlinear science, eSPecially the sea surface remote sensing measurement technology and the probing Of the modern naval science, the effects ofnonlinear coupling interaction have gradually drawn universal attention.But due to the limitation of claSSical frequency spectral method (Bracewell, 1990), it is difficult to characterize the nonlinear coupling inforTnation at higher frequency band. Thus, there havereconed the fundamental pwhleln to …     

太平洋牡蛎多倍体研究

本文综述了太平洋牡蛎多倍体产生的途径、诱导方法、诱导结果、诱导机制、倍性鉴别方法、繁殖、生长、生理指标、抗逆性和口味等。提出。６－ＤＭＡＰ诱导牡蛎三倍体的技术前景广阔;四倍体与二倍体杂交的方法是产生三倍体的最好途径;四倍体是生物方法产生三倍体的中间材料,可以存活,应加大力度地研究和开发;三倍体的性腺能够发育,并可产生具有繁殖力的配子;在良好的环境里,四倍体的生长和抗逆性较二倍体优势;在繁殖季节,三倍体的生化组成等指标比二倍体高,口味较好。     

黄海微食物环生态模型的建立与校验

细菌降解有机物又由小型浮游动物摄食回到主食物链的微食物循环被认为是海洋生态系统稳定的重要因素,是主食物链的必要补充,而对该作用的认识需要模型量化。本研究在已有黄海浮游生态系统模型基础上,增加微食物环过程(打开已有模型中营养物质转化的隐形参数关系,建立异养细菌与有机物和浮游动物之间的能量流动联系),考虑黄海营养状况,建立了1个基于磷、硅循环,包括细菌、浮游植物(小型和大型)、浮游动物(小型、大型和捕食性)生物量、磷营养盐浓度(磷酸盐、溶解态有机磷和颗粒态有机磷)及硅营养盐浓度(硅酸和生物硅)共11个生态变量的二维微食物环生态模型。在普林斯顿海洋模型模拟的黄海气候态天平均二维温度场和流场的驱动下,以该模型模拟了生态系统各营养级生物量分布的季节变化,分析了食物网能量流动关系,其结果符合黄海生态系统变化规律;模拟的溶解有机磷浓度、颗粒有机磷浓度、细菌生物量等与相关文献观测中结果相比在合理范围内或变化一致,证明模型是可信的,可为进一步研究陆架海微食物环作用提供依据。     

獐子岛海域和胶州湾表层微微型浮游植物丰度和生物量的季节变化比较

为全面了解黄海典型海区微微型浮游植物的季节变化特征,于2009年7月至2010年6月在北黄海獐子岛海域和2010年1~12月在南黄海胶州湾进行逐月调查采样,利用流式细胞仪检测了表层海水中微微型浮游植物(picophytoplankton)的丰度,包括聚球藻(Synechococcus,SYN)和微微型真核浮游植物(picoeukaryotes,PEUK),并分析了其与环境因子的关系。獐子岛海域和胶州湾SYN和PEUK全年广泛分布,獐子岛海域SYN丰度范围在0.05×10³~120.00×10³cells/mL之间,丰度在秋季最高;胶州湾SYN丰度范围在0.02×10³~61.80×10³cells/mL之间,丰度在夏季最高。獐子岛海域PEUK丰度范围在0.01×10³~18.76×10³cells/mL之间,丰度在秋季最高;胶州湾PEUK丰度范围在0.25×10³~95.57×10³ cells/mL之间,丰度在春季最高。獐子岛海域微微型浮游植物丰度组成以SYN为主;而胶州湾以PEUK为主。PEUK是两海区微微型浮游植物生物量的主要贡献者。相关性分析结果表明,温度是影响两海区SYN丰度季节变化的最主要因素;影响PEUK季节分布的因素不完全一致,獐子岛海域PEUK丰度主要受温度调控;胶州湾PEUK丰度主要受温度和营养盐浓度影响。与已有研究比较,这两个海区的微微型浮游植物生物量对浮游植物生物量的贡献明显高于其他温带沿岸海域,预示微微型浮游植物在獐子岛海域和胶州湾生态系统中的重要作用,值得进一步深入研究。     

北冰洋高纬度区域海冰及气象特征分析

基于2018年8月至2019年5月布放在北极随海冰漂流的自动气象站和温度链浮标获取的观测数据,分析了北极高纬度区域的大气特征和海冰生消过程。根据海冰的漂移轨迹分为两个阶段分析,第1阶段,海冰主要向东南漂移;第2阶段,海冰主要向东北漂移。第1阶段观测的平均气温和平均相对湿度分别为–6.6℃和93%,第2阶段观测的平均气温和平均相对湿度分别为–29.3℃和76%,第2阶段平均气压高于第1阶段。海冰的漂移轨迹主要受到波弗特高压外围气流的影响。利用自动气象站漂移轨迹计算得到海冰漂移速度,与美国国家冰雪数据中心海冰漂移速度比较显示,两者纬向速度更为接近。海冰在第1阶段以融化为主,海冰厚度略有减小,8月份海冰生长率为–0.11 cm/d;海冰的生长过程主要发生在第2阶段,1–3月生长率均超过0.9 cm/d,2019年3月海冰生长最快,平均生长率为1.3 cm/d,海冰的增长一直持续至观测结束。     

Spatio-temporal distribution of Konosirus punctatus spawning and nursing ground in the South Yellow Sea

In recent years, Konosirus punctatus has accounted for a large portion in catch composition and become important economic species in the South Yellow Sea. However, the distribution of K. punctatus early life stages is still poorly understood. In this study, generalized additive models with Tweedie distribution were used to analyze the relationships between K. punctatus ichthyoplankton and environmental factors(longitude and latitude, sea surface temperature(SST), sea surface salinity(SSS) and depth), and predict distribution K. punctatus spawning ground and nursing ground, based on samplings collected in 6 months during 2014–2017. The results showed that K. punctatus' spawning ground were mainly distributed in central and north study area(from 33.0°N to 37.0°N).By comparison, the nursing ground shifted southward, which were approximately located along central and south coast of study area(from 31.7°N to 35.5°N). The optimal models identified that suitable SST, SSS and depth for eggs were 19–26°C, 25–30 and 9–23 m, respectively. The suitable SSS for larvae were 29–31. The K. punctatus spawning habit might have changed in the past decades, which was a response to increasing SST and fishing pressure. That needs to be proved in further study. The study provides references of conservation and exploitation for K. punctatus.     

Stock assessment for Atlantic yellowfin tuna based on extended surplus production model considering life history

The modern fishery stock assessment could be conducted by various models, such as Stock Synthesis model with high data requirement and complicated model structure, and the basic surplus production model, which fails to incorporate individual growth, maturity, and fishery selectivity, etc. In this study, the Just Another Bayesian Biomass Assessment (JABBA) Select which is relatively balanced between complex and simple models, was used to conduct stock assessment for yellowfin tuna (Thunnus albacares) in the Atlantic Ocean. Its population dynamics was evaluated, considering the influence of selectivity patterns and different catch per unit effort (CPUE) indices on the stock assessment results. The model with three joint longline standardized CPUE indices and logistic selectivity pattern performed well, without significant retrospective pattern. The results indicated that the stock is not overfished and not subject to overfishing in 2018. Sensitivity analyses indicated that stock assessment results are robust to natural mortality but sensitive to steepness of the stock-recruitment relationship and fishing selectivity. High steepness was revealed to be more appropriate for this stock, while the fishing selectivity has greater influence to the assessment results than life history parameters. Overall, JABBA-Select is suitable for the stock assessment of Atlantic yellowfin tuna with different selectivity patterns, and the assumptions of natural mortality and selectivity pattern should be improved to reduce uncertainties.     

西太平洋海山区构造分区图编制及玄武岩Nd同位素填图

基于公开的地球物理、地球化学数据以及国内外航次调查积累的海底地形等资料,笔者编制了西太平洋海山区1:500万构造分区图.西太平洋海山区构造分区图包括1幅主图和3幅辅图,主图为《西太平洋海山区构造分区图》,共划分出了3个一级板块、22个二级分区块体、12个三级分区块体,3幅辅图分别为《西太平洋海山区地质构造图》、《西太平...