楚科奇海与加拿大海盆表层沉积物表观特征及其环境指示

通过对中国首次和第二次北极科学考察采集的表层沉积物的观察,根据沉积物的颜色和气味、砾石分布、底栖生物及贝壳分布特征的分析,探讨了该海区表层沉积物表观特征变化与有机质输入、沉积物的氧化还原状态的关系、底栖生物分布范围、冰筏碎屑的分布区域及与海流的关系,指出在研究区软体动物生长的北界位于73．5°N,比浮游动物的北界约低2个纬度。冰筏碎屑的北界可作为融冰水的北界或永久冰区的南界,位置在77°24′N附近。通过对沉积物表观特征的综合分析,结合研究区的海流特征,指出研究区的海流分布对沉积物分布有重要影响,尤其是两股不同性质的海流相遇,对西南部与东部两个区域的沉积物组成及性质具有较强的控制作用。     

巴拿马海道关闭及其古海洋和古气候影响

位于中关洲的巴拿马海道曾是连通赤道东太平洋和大西洋的开放洋流通道。从中新世开始,巴拿马海道在构造运动的驱动下逐步关闭,切断了赤道太平洋和大西洋海水的直接交流。海道的关闭不仅改变了太平洋和大西洋海水的物理性质和洋流模式,还可能对新生代中晚期气候变化,特别是北半球大冰期的开始有重要作用。简要综述了二十余年来围绕巴拿马海道关闭及其古海洋、古气候意义方面的研艽成果和最新研究进展。很多相关的问题目前仍处于激烈的争论之中或尚未得到充分的认识,亟待开展进一步工作。开展相关研究将对促进我国古海洋和古气候研究具有积极意义,并有助于进一步加深我们对于海洋一气候系统的认识。     

利用南极走航观测评估卫星遥感海表面温度

利用1989-2005年间南极走航观测的海表面温度,对目前3个主要的卫星反演的SST产品AVHRR(Advanced Very High Resolution Radiometer),TMI(TRMM Microwave Imager)和AMSR-E(Advanced Microwave Scanning Radiometer for the Earth Observing System)进行了较为系统的评估,并着重检验了它们在南大洋的准确性.结果表明,AVHRR SST比观测数据偏冷,白天的偏差为-0.12℃,夜晚的偏差为-0.04℃,而且南大洋的冷偏差更为显著.TMI SST比观测数据明显偏暖,白天的偏差为0.48℃,夜晚的偏差为0.57℃,其温差ΔT受37GHz风速影响,在强风速(>6m/s)下这种影响仍然存在.AMSR-ESST比观测数据偏暖,白天的偏差为0.34℃,夜晚的偏差为0.27℃,而且南大洋的暖偏差相对较大.AMSR-E SST温差受水汽影响,并在南大洋随着水汽的增加而增加.通过进一步比较微波(AMSR-E和TMI)和红外(AVHRR)遥感的SST在2004年北半球冬季(即南半球夏季)的差别,发现微波遥感在热带(15°S-15°N)和南大洋区域(45°S以南)比红外遥感偏暖,而且在南大洋区域的偏差相对较大,相反在北半球中纬度区域(15°~40°N)偏冷.AMSR-E与AVHRR SST的温差,从白天到夜晚有减小的趋势,而TMI与AVHRR SST的温差无明显的变化.     

宽壳全海笋的染色体核型分析

以宽壳全海笋担轮幼虫为材料,采用热滴片法进行染色体核型分析.结果表明:宽壳全海笋二倍体染色体数目为2n=38,染色体臂数(NF)=70,核型公式为24m 8sm 6st,未发现性染色体和随体.与海螂目另一物种砂海螂相比,二倍体染色体数目多4条,亚端部着丝粒染色体(st)多6条,核型比砂海螂更具不对称,推测宽壳全海笋较砂海螂原始.     

加强海水产品地理标志保护的法理思考

地理标志,既是一种产地标识,更是一种质量标识.加强地理标志的保护有助于对名优特农产品的保护.以舟山市为例,指出加强海水产品的地理标志保护有利于渔业、渔农、渔村、渔文化的发展,同时针对当前海水产品地理标志权保护的薄弱环节,提出立法部门要完善相关的法律制度,执法部门要加强培育地理标志产品的力度,相关行业要构建一套有效的管理机制,地理标志使用人要有效利用地理标志来保护海水产品.     

刻赤海峡和亚速海的生成年代

为了普查和勘探陆架上的新油田和固体矿产,研究俄罗斯南部海洋具有非常现实的意义。正是在这里,解决着亚速海一黑海盆地的地层和古地理,以及与同时代形成的地中海和里海沉积层对比的主要问题。     

铁细菌在北极特定海区沉积物中的分布

用平板法对取自北极加拿大海盆和楚科奇海10个沉积物岩芯中184个样品进行铁细菌检出率和含量分析.结果表明,4 ℃培养时铁细菌的检出率为10.33%,含量范围均为未检出～ 8.40×106 个/g(湿样,下同),平均含量为7.76×104 个/g.25 ℃培养时铁细菌的检出率为40.22%,含量范围均为未检出～1.00×108 个/g,平均含量为1.40×106 个/g.研究区沉积物中铁细菌含量高于太平洋深海沉积物中铁细菌含量;与前人在淡水沉积物中所作的调查相比,研究区的铁细菌含量落在前人调查结果范围内,但比细菌簇中铁细菌含量要低,这表明研究区海底沉积物的微生境较适合铁细菌的繁衍.对铁细菌在不同水深、经纬度以及沉积物深度中的分布进行了讨论,结果表明铁细菌检出率随沉积物深度增加而增大,含量变化呈现出浅层少、下层多之势.铁细菌的纬度分布范围较大,并显出有扩大的趋势.铁细菌含量与检出率随水深加大也呈跳跃式变化,水较深时铁细菌有较高的检出率和数量,但离陆距离的增加又会在物质供应上对其生长产生制约.培养温度对铁细菌分布有一定影响,温度提高不仅提高了铁细菌检出率,也增加了铁细菌的含量.这也许与部分铁细菌的最适宜生长温度较高有关,温度升高有利于某些铁细菌的生长发育.     

Contribution of a pathway through the Arctic Ocean to the re cent reduction in the ice cover

The sea ice cover in the Arctic Ocean has been reducing and hit the low record in the summer of 2007. The anomaly was extremely large in the Pacific sector. The sea level height in the Bering Sea vs. the Greenland Sea has been analyzed and compared with the current meter data through the Bering Strait. A recent peak existed as a consequence of atmospheric circulation and is considered to contribute to inflow of the Pacific Water into the Arctic Basin. The timing of the Pacific Water inflow matched with the sea ice reduction in the Pacific sector and suggests a significant increase in heat flux. This component should be included in the model prediction for answering the question when the Arctic sea ice becomes a seasonal ice cover.     

A coupled ice-ocean ecosystem model for 1-D and 3-D applications in the Bering and Chukchi Seas

Primary production in the Bering and Chukchi Seas is strongly influenced by the annual cycle of sea ice. Here pelagic and sea ice algal ecosystems coexist and interact with each other. Ecosystem modeling of sea ice associated phytoplankton blooms has been understudied compared to open water ecosystem model applications. This study introduces a general coupled ice-ocean ecosystem model with equations and parameters for 1-D and 3-D applications that is based on 1-D coupled ice-ocean ecosystem model development in the landfast ice in the Chukchi Sea and marginal ice zone of Bering Sea. The biological model includes both pelagic and sea ice algal habitats with 10 compartments： three phytoplankton （pelagic diatom, flagellates and ice algae： D, F, and Ai） , three zooplankton （copepods, large zooplankton, and microzooplankton ： ZS, ZL, ZP） , three nutrients （ nitrate ＋ nitrite, ammonium, silicon ： NO3 , NH4, Si） and detritus （Det）. The coupling of the biological models with physical ocean models is straightforward with just the addition of the advection and diffusion terms to the ecosystem model. The coupling with a multi-category sea ice model requires the same calculation of the sea ice ecosystem model in each ice thickness category and the redistribution between categories caused by both dynamic and thermodynamic forcing as in the physical model. Phytoplankton and ice algal self-shading effect is the sole feedback from the ecosystem model to the physical model.     

A coupled multi-category sea ice model and POM for Baffin Bay and the Labrador Sea

An overview of the seasonal variation of sea-ice cover in Baffin Bay and the Labrador Sea is given. A coupled ice-ocean model, CECOM, has been developed to study the seasonal variation and associated ice-ocean processes. The sea-ice component of the model is a multi-category ice model in which mean concentration and thickness are expressed in terms of a thickness distribution function. Ten categories of ice thickness are specified in the model. Sea ice is coupled dynamically and thermodynamically to the Princeton Ocean Model. Selected results from the model including the seasonal variation of sea ice in Baffin Bay, the North Water polynya and ice growth and melt over the Labrador Shelf are presented.