泉州湾海域表层沉积物矿物碎屑分布特征及其环境意义

对泉州湾13个表层沉积物样品进行了矿物碎屑定量分析．通过矿物分析，发现泉州湾不同站位的轻、重矿物组分、含量和表征存在差异．根据矿物的分布和组合特征．将耒州湾划分为4个组合区，不同组合区所处沉积环境是不同的．分析表明，研完区表层沉积物的碎屑矿物具有明显的亲陆性，物质来源主要为河流输砂和沿湾海岸侵蚀来砂，且其分布受物源、水动力条件和矿物物理性质等因素所控制。     

南黄海和东海北部陆架重矿物组合分区及来源

利用大洋-50型海底取样器,在南黄海和东海北部陆架(125°E以西)海上调查获取了海底表层沉积物样品,其中包括1998年以来"黄东海地质地球物理补充调查"和"中韩黄海沉积动力学与古环境演变"2项研究所获得的样品共380个,选取0.063～0.125mm粒级的沉积物,进行碎屑矿物分析,最后选出9个代表性的优势重矿物种的数据为变量,利用Q型聚类(分层聚类)的数学方法,进行聚类组合,在数学统计的基础上,将研究区划分出4个重矿物组合区。客观地反映出黄河物质、长江物质和原地物质的影响范围,同时也体现出物质来源和水动力以及海底风化作用对重矿物分布的影响程度和范围,因而可以得出,在一定的范围内陆架表层沉积物中的重矿物具有趋同的演化效应。     

一种具有巨大经济价值的海洋矿产资源--砂石土

砂石土指第四纪堆积的泥、土、砂，为一种极为重要的资源。我国具有丰富的海洋砂石土资源。以广东海域为例，通过资料的综合分析，探讨了海岸砂石土资源的重要作用，并提出其开采应注意的问题。     

鲁南近浅海沉积物样品的因子分析及其地质意义

本文提出河流携带入海的沉积物或沿岸剥蚀物中矿物的分布及再组合是受多种因素控制的。为了确定控制鲁南两城河至白马河沉积物样品中矿物分布及再组合的主要因素,作者对该区109个沉积物样品的重矿物资料进行了Q型和R型因子分析。研究指出,在诸多的河流中,白马河和两城河是控制该区沉积物分布的最上要的河流;矿物的化学稳定性是决定该区矿物再组合的主要因素。     

渤海中、南部表层沉积硅藻的定量分析

对取自渤海中、南部海底表层的44个沉积物样品进行了硅藻分析。样品中共含硅藻20属41种,主要是潮间带、沿岸性底栖或浮游种类,其中尤以具槽直链藻Melosira sulc-ata和小环藻Cyclotella最多见。对本区的表层沉积硅藻用多元统计方法进行分区,共划分出三区、两亚区,井与其他海区进行了比较。     

Macrobenthic Communities of the Eastern Mediterranean Continental Shelf

Abstract. The results of a year long study in which soft-bottom epibenthic invertebrates were collected by grab, dredge and beam-trawl, along the southern Mediterranean coast of Israel, are described in this paper. The classificatory analysis used for both normal and inverse analyses used two measures of dissimilarity - Canberra metric and Bray-Curtis, and both group-average and nearest-neighbour clustering. The results were displayed as dendrograms. Four site groups and five species groups characterised a total of 58 site samples and 245 species. The prominent species in each of the five species groups are mentioned. The applicability of "community concepts" and the effects of sediment properties on community structure are discussed.     

东山湾重矿物组合规律、物质来源及环境意义

阐明了东山湾重矿物组合规律，物质来源，自生黄铁矿的富集与形成环境。研究表明，湾内重矿物含量＜１％，来自漳江及周边水系。东山湾西部的沉积环境有利于自生黄铁矿的形成。     

早渐新世钙质超微化石演变与营养盐及二氧化碳关系

南海北部早渐新世发生明显的营养供给和二氧化碳浓度的变化,相关地质记录为研究颗石藻的生理机制提供了理想的自然实验室。在本研究中,我们建立了一个新的颗石藻群落演化的指标,定义为E*比值。该比值由富营养属种和中等-贫营养属种的相对丰度计算而得（E^*=e/(e+c)×100,e代表富营养属种,c代表中等-贫营养属种）。其中富营养属种包括小Reticulofenestra, Reticulofenestra lockeri组,Reticulofenestra bisecta组和Coccolithus pelagicus组,而中等-贫营养属种包括Cyclicargolithus spp.。E^*指标与早渐新世营养盐指标具有较强的相关性,但在不同二氧化碳浓度的条件下表现不同的公变趋势。将群落组合与已发表的二氧化碳浓度数据对比,我们提出颗石藻可能在二氧化碳持续降低的环境下改变其对碳源和营养盐的利用方式,指示颗石藻的碳浓缩机制可能开始于早渐新世。     

北冰洋西部表层沉积物粘土矿物分布及环境指示意义

楚科奇海及邻近的北冰洋深水区表层沉积物中粘土矿物的分布受源区母岩和海区环流结构所制约。来自加拿大马更些河的物质富含高岭石和伊利石,对研究区东北部和北部沉积物的影响较大;来自阿拉斯加西北部的河流和海岸带物质富含绿泥石,高岭石含量变化较大,对阿拉斯加西北部近海沉积物的影响明显;来自西伯利亚的物质富含绿泥石,对研究区西部沉积物的影响较为明显。自白令海峡进入的太平洋水携带富含蒙皂石的育空河物质横穿楚科奇海陆架向北扩散,导致楚科奇海中部沉积物中的蒙皂石含量高;同时,粘土矿物自身的粒度分异在某种程度上也促使蒙脱石在离岸距离较远的中部海区富集。     

Distribution of phytoplankton community in relation to environmental parameters in cage culture area of Sepanggar Bay,Sabah, Malaysia

This paper covers spatial and temporal variation in phytoplankton communities and physico-chemical water properties in the cage culture area of Sepanggar Bay, Sabah, Malaysia based on field measurement conducted during July 2005 to January 2006 to study the spatial and temporal variation in phytoplankton communities and physico-chemical water properties of the bay. Phytoplankton samples and water parameters data were collected from five different stations located inside the bay during Southwest, Interseasonal and Northeast monsoons. Forty phytoplankton genera, representatives of 23 families, were found in the study area with a mean abundance of 1.55 ± 1.19 × 10⁶ cells L⁻¹. Most of these genera belong to diatoms (82.17%), Dinoflagellates (17.55%) and cyanobacteria (0.29%). Three genera were found to be dominant (>10%) in phytoplankton abundance and these were Coscinodiscus spp. (36.38%), Chaetoceros spp (17.65%) and Bacteriastrum spp. (10.98%). The most dominant genus was Coscinodiscus spp. which showed high abundance during all monsoons and stations (except Station 3). Among the seven environmental parameters tested in this study, water temperature, pH and suspended sediment concentration were found to be significantly different between monsoons. On the other hand, no significant differences were found between stations for the studied physico-chemical parameters. A clear differences in phytoplankton densities were observed between monsoons and stations with higher mean abundances during interseasonal monsoon (2.40 ± 1.37 × 10⁶ cells L⁻¹) and at station five (2.05 ± 0.74 × 10⁶ cells L⁻¹), respectively. Conversely, the diversity indices, both Shannon–Wiener (H^′)$\left(H^{\prime }\right)$ and Pielou (J^′)$\left(J^{\prime }\right)$, showed no significant difference throughout stations and monsoons (except (H^′)$\left(H^{\prime }\right)$ for monsoons). Analysis of similarity (ANOSIM) results demonstrated temporal differences in phytoplankton community structure with highly diverse phytoplankton assemblage. Through cluster analysis five groups of phytoplankton were attained (at 40% similarity level) though no marked separation of the taxonomic classes pointed towards the constant pattern of the phytoplankton assemblage in the studied area.