东部沿海滩涂和浅海资源大开发之我见

介绍了浙江东南沿海的台州市及所属玉环县、温州市及所属乐清市、瓯海区等地面实施海洋“蓝色工程”的丰富实践和新鲜经验。文中借鉴浙东南沿海大开发的成功经验,结合我国东部沿海其它地区特别是苏北沿海的实际,提出了做出滩涂开发利用、发展海洋经济的总体战略构想。     

东海钙质生物骨屑的矿物学特征

通过电镜、电子探针和X射线等项分析,对东海沉积物中的有孔虫、腹足类、双壳类、苔藓、珊瑚、海胆等骨屑进行了矿物学研究,确定了矿物成分与生物属种的关系,并基于有孔虫壳体化学成分将壳体分为均质壳和异质壳,生物碳酸盐中镁主要富集在方解石及镁方解石中,锶在方解石和镁方解石中的分配系数(D)相似,为0.11—0.14;在文石质骨屑中D=1.09-1.20。碳氧同位素组成与生物属种有明显关系。据一些有孔虫壳体氧同位素偏差值计算的水温来看,本次测定的有孔虫属种的骨屑不能作为理想的骨屑温度计。     

南麂列岛海洋自然保护区潮间带贝类资源时空分布

为了解南麂列岛海洋自然保护区潮间带贝类十多年来的动态变化,在1992年研究基础上,于2003年度再赴南麂列岛对岩、沙相贝类进行了研究.本次调查鉴定出贝类105种,其中岩相93种、沙相12种,6种为南麂列岛新记录种,对岩相、沙相贝类组合的生态特征进行了分析,岩相多样性和均匀度指数(1.25~2.20和0.54~0.70)高于沙相的(0.23~0.95和0.17~0.94).岩相贝类数量为3025.70g/m2和2660个/m2,生物量垂直分布为低潮区最高(6471.99g/m2),中潮区居中(3772.09g/m2),高潮区最小(78.35g/m2),栖息密度为中潮区最大(4245个/m2),低潮区居中(2973个/m2),高潮区最小(439个/m2).沙相贝类数量为16.81g/m2和11个/m2,低潮区(29.43g/m2和11个/m2)大于中潮区(14.01g/m2和10个/m2).通过与以往资料比对发现,岩礁贝类数量有所增加,沙滩贝类数量则明显下降,监控区贝类数量明显多于其他区域,对贝类资源变化产生影响的相关因子作了分析探讨.     

南海地形、底质特征与鱼类配布的研究

讨论了南海海区的地理位置、地形地貌以及底质的特征,从而了解了南海渔业资源的特点;认识到南海渔业区的划分是与地形地貌、底质特点相互呼应;由此更好地对南海鱼类在该海域的生活习性以及它们的分布进行研究.     

南海西南部新生代盆地类型及演化历史

南海西南部地区发育了多种类型的新生代沉积盆地，各种类型的盆地具有各自的结构特征和演化历史，走滑－周缘前陆盆地－曾母盆地发育了渐新－中中新统层系，晚中新统层系和上新－第四系层系第三套地层，曾母盆地经历了三个发育阶段，拉张剪切盆地－万安盆地发育下第三系－下渐新统层系，上渐新统一中中新统层系和上中新统一第四系层系三套地层，万安盆地经历了四个发育阶段。     

南海海域叶绿素浓度分布特征的卫星遥感分析

介绍了第二代海洋水色传感器SeaWiFS资料的特点汲其基本处理方法，海水叶绿素浓度提取方法，对南海域表层海水叶绿素浓度分布的时空变化特征及其与营养物质和南海环流的关系进行了初步分析。     

中国北方沿海食用贝类油污染特征研究

１９９０年７月～１９９１年１２月，监测了中国北部沿海食用贝类体内的污染物残留量水平。本文用石油烃的分析数据为基础，讨论了沿岸贝类受石油烃污染的现状和分布特征；计算了样品干、湿重含量的本底值范围。给出了油标准和标准之间的互校系数Ｒ值。对样品进行了同步荧光光谱分析，并用同步荧光光谱的分析数据，计算了样品间模糊相关系数，做了模糊聚类分析。     

南海294站柱状沉积孢粉、藻类研究及古环境意义

通过对南海294站深海柱状剖面孢粉、藻类的研究,将294站从下至上划分为7个孢粉组合带: 带为Dacrydium-Pinus-Lithocarpus-Quercus(常绿)-Cyathea-Polypodiaceae; 带为Castanopsis-Lithocarpus-Dacrydium-Quercus(常绿)-Pinus-Polypodiaceae; 带为Quercus(常绿)-Castanopsis-Podocarpus-Cyathea-Polypodiaceae; 带为Polypodiaceae-Cyathea-Pteris-Pinus-Gramineae; 带为Quercus(常绿)-Podocarpus-Lithocarpus-Pinus-Cyathea-Polypodi-aceae; 带为Pinus-Quercus(常绿)-Palmae-Mangrovepollen-Gramineae; 带为Dacrydium-Palmae-Mangrovepollen-Pinus-Cyperaceae-Cyathea。相应恢复了南海东部地区12万年以来5个植被、气候演替阶段,依次为:炎热、湿润的热带季雨林—暖热而稍干的热带北缘半常绿季雨林—炎热、湿润的热带季雨林—暖热而稍干的热带北缘半常绿季雨林—炎热、湿润的热带季雨林。结合氧同位素测年资料,对南海294站柱状剖面地层时代划分进行了讨论。     

Effect of Sea Level Variation on Tidal Characteristic Values for the East China Sea

1 .IntroductionTheglobalairtemperatureroseabout 0 .5～ 0 .6°Coverthepast 2 0thcentury ,andtheglobalmeansealevelincreasedbyabout2 0cmduringtheperiod .Theregionalmeansealevelriseswiththerisingglobalmeansealevel.Zuoetal.( 1 997)indicatedthatthemeanrisingrateofabsolutemeansealevelalongtheChinacoastontheassumptionofunifiedisostaticdatumis 2mm a .Woodworth( 1 999)analyzedsealevelspanning 1 76 8tothepresentinLiverpool,andobtainedaseculartrendforheperiodupto 1 880of0 .39± 0 .1 7mm a ,andatrendfort…     

Sublittoral meiofauna with particular reference to nematodes in the southern Yellow Sea, China

Densities of major meiofaunal taxa were investigated at 34 sampling stations during six cruises by R/V Beidou to the southern Yellow Sea, China from 2000 to 2004, and the community structure of free-living marine nematodes was studied during one of the cruises in 2003. Meiofauna abundance ranged from 487.4 to 1655.3 individuals per 10 cm². Nematodes and harpacticoid copepods were the two most dominant groups, contributing 73.8–92.8% and 3.5–18.7%, respectively, to the total meiofauna abundance. One-way ANOVA showed no significant annual fluctuation of meiofauna and nematode abundances from 2000 to 2004 in the southern Yellow Sea. However, two-way ANOVA based on six stations sampled in 4 years (2001–2004) showed that there were significant differences among the six stations and the 4 sampling years for meiofauna, nematode and copepod abundance. Correlation analysis demonstrated that meiofauna abundance was mainly linked to chloroplastic pigments. Other environmental factors could not be ruled out, however. A total of 232 free-living marine nematode species, belonging to 149 genera, 35 families and 4 orders, were identified. The dominant species in the sampling area were the following: Dorylaimopsis rabalaisi, Microlaimus sp.1, Prochromadorella sp., Promonohystera sp., Cobbia sp.1, Daptonema sp.1, Leptolaimus sp.1, Halalaimus sp.2, Aegialoalaimus sp., Chromadorita sp., Parodontophora marina, Parasphaerolaimus paradoxus, Quadricoma sp.1, Campylaimus sp.1, Halalaimus gracilis, Paramesacanthion sp.1, Paramonohystera sp.1, and Metalinhomoeus longiseta. CLUSTER and SIMPROF analyses revealed three main types of nematode community (or station groups) in the sampling area, including I: coastal community, II: transitory community between coastal and YSCWM (Yellow Sea Cold Water Mass), and III: YSCWM community. Each community was indicated by a number of dominant nematode species. Bio-Env correlation analysis between the nematode community and environmental variables showed that water depth, sediment water content, organic matter, chlorophyll a (Chl-a) and phaeophorbide a (Pha-a) were the most important factors to determine the community structure.