南海北部深海小型底栖动物丰度和生物量

2010年9月在南海北部5个深海站位和1个浅海站位进行了小型底栖动物和环境因子采样,对小型底栖动物的丰度和生物量进行了定量研究。本次调查中,共鉴定出10个小型底栖动物类群,分别是线虫、桡足类、多毛类、介形类、甲壳类幼体、异足类、寡毛类、涡虫、无板类和等足类。从丰度来看,线虫是绝对的优势类群,占总丰度百分比为94.72%;桡足类次之,占2.70%;多毛类再次,占1.62%;其他类群之和仅占0.96%。从生物量来看,线虫的生物量最大,占总生物量的53.83%;其次是多毛类,占32.17%;居生物量第三位的是桡足类,占7.14%;其他类群之和占6.85%。小型底栖动物的丰度和干重生物量分别为566.12±635.61个·(10cm2)-1和398.43±431.98μg·(10cm 2)-1,线虫的丰度和干重生物量分别为536.21±593.48个·(10cm 2)-1和214.48±237.39μg·(10cm 2)-1。研究站位线虫、桡足类、多毛类和小型底栖动物丰度,小型底栖动物生物量与环境因子的相关分析表明,影响线虫丰度、小型底栖动物丰度、小型底栖生物生物量的主要环境因子包括底层水pH值、沉积物粉砂黏土含量和有机质含量。单因素方差分析(One-way ANVOA)结果表明,线虫丰度、桡足类丰度、小型底栖动物丰度和生物量在不同站位均有显著差异。与渤海、北黄海、南黄海、长江口、芽庄湾(越南)、大亚湾、北部湾、南海近海等海域相比,本研究海域的小型底栖动物丰度和生物量偏低。     

中国近海秋季小型底栖动物分布及与环境因子的关系研究

2007年秋季搭栽开放航次时黄海、东海、南海3个海域共10个站位的小型底栖动物组成、丰度和生物量,以及环境因子进行了调查研究.3个海域小型底栖动物的平均丰度以黄海最高,为(2 132±946)个/10 cm2,东海次之,为(1 954±2 047)个/10 cm2,而南海仅(156±56)个/10 cm2;平均生物量(干质量)依次为(2 193±1 148)μg/10 cm2、(1 865±1 555)μg/10 cm2和(212±22)μg/10 cm2.3个海区分选出的14个小型底栖动物类群中,丰度上均以自由生线虫占绝对优势,分别占总量的85%、89%、85%.在生物量上,黄海以自由生线虫贡献最多(33%),多毛类居次;东海二者比例相近(约为37%),而南海则以多毛类占绝对优势(56%).在小型底栖动物的垂直分布上,3个海区差异较大:分布于沉积物表层0～2 cm的小型底栖动物在黄海高迭90%,东海仅46%,在南海为63%.统计分析表明,本研究站位小型底栖动物丰度与沉积物中的叶绿素及脱锾叶绿酸含量和底温呈显著正相关,与水深呈显著负相关.该结果与本航次之后在广东湛江和海南以东的南海海域开展的908调查结果形成了鲜明对照,后者的小型底栖动物及线虫丰度与沉积物中有机质含量呈显著正相关,与水深呈显著负相关,表明近海受人类干扰影响较大.     

南海北部陆架和陆坡区小型底栖动物群落的比较研究

为了解南海北部陆架与陆坡区小型底栖动物的群落特征,以及影响群落特征的环境因素,2015年6月对南海北部海域(19.3°—21.4°N, 112.4°—115.1°E)7个站位的小型底栖动物及环境因子进行了采样,并对陆架和陆坡区小型底栖动物群落的丰度、生物量、类群组成和群落结构进行比较。结果表明,在陆架站位,小型底栖动物由13个类群组成,平均丰度为(132±130)ind./10cm2,平均生物量为(169±79)μgdwt/10cm2;在陆坡站位由8个类群组成,平均丰度为(33±14)ind./10cm2,平均生物量为(56±35)μgdwt/10cm2。单因素方差分析结果表明,陆坡区小型底栖动物的总丰度和总生物量以及线虫和多毛类的丰度均显著低于陆架区,但优势类群的相对丰度组成没有显著不同,海洋线虫占总丰度的83%,其次为多毛类和桡足类,分别占7%和3%。环境因子的主成分分析(Principal ComponentsAnalysis,PCA)将陆架和陆坡站位沿第一主分量轴分开,小型底栖生物丰度和生物量与沉积物叶绿素a和脱镁叶绿酸含量以及底层水温呈最大正相关,与水深呈负相关;聚类(Cluster)和排序(non-metric Multidimensional Scaling, MDS),以相似性系数65%将7个站位划分为2组,与按照水深划分的陆架和陆坡组基本吻合;单因素相似性分析(one-way ANOSIM)显示陆架和陆坡区小型底栖动物群落结构差异显著;生物-环境分析(Biota-Environment,BIOENV)表明影响群落结构的最佳环境因子组合为叶绿素a和底层水温。综上可知,随水深增加的食物减少和底层水温的下降是限制南海北部研究海域小型底栖动物丰度和生物量及影响群落组成和结构的主要因素。     

大亚湾秋季小型底栖生物初步研究

2009年10月对大亚湾海域的小型底栖动物丰度和生物量进行了研究.结果表明,小型底栖动物的平均丰度为(593±265)ind·(10cm)?2,呈湾内向湾外递增趋势;平均生物量和生产量分别为(568.39±294.49)μg·(10cm)?2(干重)和(5115.53±2811.14)μg·(10cm)?2(干重).在分选的17个主要类群中,海洋线虫在丰度上占绝对优势达92.24%,其次是多毛类和桡足类,分别为2.05%和1.98%.在生物量上,海洋线虫(38.47%)和多毛类(29.97%)为绝对优势类群,其次是寡毛类(13.82%)和介形类(9.15%).在垂直分布上,占总量约53.02%的小型底栖动物和51.44%的海洋线虫分布于0—2cm表层.统计分析表明,本海域的小型底栖动物生物量与含水率、中值粒径和黏土+粉砂含量呈显著负相关(P<0.05),多毛类的生物量与小型底栖动物表现的显著相关性相同,桡足类的生物量与中值粒径值呈显著负相关(P<0.05),与沉积物的黏土+粉砂含量呈极显著负相关(P<0.01),而线虫生物量与环境因子无显著相关关系.由海洋线虫与桡足类的数量比(用 N/C 表示)与本海域环境状况的分析表明,该数值可以在一定尺度上为海洋环境检测提供参考.     

南海小型底栖动物生态学的初步研究

2007年10—11月对南海海域(17—21°N,109—112°E)的小型底栖动物的生态特点进行了研究。结果表明,小型底栖动物的丰度平均为(901±913)ind/10cm2,自近岸向外海域呈递减趋势;平均生物量和生产量分别为(798±713)μgdwt/10cm2和(7185±6421)μgdwt/10cm2。研究海域小型动物的平均丰度与莱州湾和南黄海冬季的研究结果较接近,高于东、黄海,低于胶州湾和长江口。在分选的17个主要类群中,海洋线虫在丰度上占绝对优势(92.9%),多毛类(2.5%)和桡足类(1.5%)所占比例均较小。在生物量上,海洋线虫(41.9%)和多毛类(40.1%)为绝对优势类群,其次是介形类(3.6%)和桡足类(3.2%)。在垂直分布上,占总量约53%的小型底栖动物和52%的海洋线虫分布于0—2cm表层,该结果与长江口较为接近,而较渤海和黄海低。统计分析表明,本海域的小型底栖动物和线虫的数量与沉积物中有机质含量呈显著正相关,与水深呈显著负相关。由海洋线虫与桡足类的数量比(N/C)与本海域环境状况的分析表明,该数值在一定尺度上可为海洋环境监测提供参考。     

长江口及邻近陆架海区夏季小型底栖动物群落结构研究

根据2006年7月13日至8月30日在长江口及邻近陆架海区采集的小型底栖动物样品,对小型底栖动物类群组成,丰度、生物量的水平分布和垂直分布以及调查海区的环境因子进行了研究。结果表明：研究海域小型底栖动物有线虫、桡足类、多毛类、寡毛类、介形类、螨类、双壳类、腹毛类、动吻类、端足类和等足类等11个类群及无节幼体等。平均丰度为453.22±355.34 ind/10 cm2,最优势类群为线虫,占小型底栖动物总丰度的81.37%,次优势类群分别为底栖桡足类和多毛类,分别占小型底栖动物总丰度的10.13%和2.96%。平均生物量为622.65±505.07 μg/10 cm2,生物量占比最高的类群为多毛类,占总生物量的30.21%,其次分别为线虫和寡毛类,分别占小型底栖动物总生物量的23.69%和19.44%。水平分布上,从河口冲淡水区到东海陆架深水区,小型底栖生物丰度呈现由低到高的变化趋势,杭州湾小型底栖动物丰度为240.96±223.47 ind/10 cm2,长江口近岸区为442.91±304.16 ind/10 cm2,东海陆架深水区为865.42±553.88 ind/10 cm2。垂直分布上,小型底栖动物主要分布在0~2 cm层,丰度为290.28±250.03 ind/10 cm2;其次是2~5 cm层,丰度为132.81±128.74 ind/10 cm2;5~10 cm层分布最少,丰度为30.14±31.91 ind/10 cm2。其中线虫、多毛类、寡毛类与桡足类等主要类群的垂直分布与总分布趋势相同。与环境因子进行相关分析表明,调查海区小型底栖动物的丰度主要与水深、盐度和溶解氧显著相关,对小型底栖动物分布影响最大的环境因子组合为溶解氧和盐度。     

天津近海小型底栖动物丰度研究

2006年7月至2007年10月在渤海湾天津近海的15个站位,分春、夏、秋、冬4个航次进行了小型底栖动物丰度的调查.通过对未受扰动沉积物样品中的生物分析,共采集到线虫、桡足类、多毛类、介形类、寡毛类、双壳类、动吻类等小型底栖动物类群和少量未鉴定实体,其中线虫为优势类群,占总丰度的90%以上.调查海域小型底栖动物丰度春、夏、秋、冬依次为(405.4±154.8)ind/10cm2,(417.6±38.6)imd/10 cm2,(161.6±64.5)ind/10cm2和204.7±69.7ind/10 cm2,区内的分布以中部海域居多.小型底栖动物丰度值存在季节变化,春季和夏季平均丰度值较高,夏季略高于春季;秋冬季值偏低.小型底柄动物多分布于沉积物0～5 cm层次,占总量的85.9%～92.9%.春季和秋季的小型底栖动物丰度值与沉积物叶绿素a含量显著相关.与我国近海海域研究资料比较显示,目前渤海湾天津近海小型底栖动物丰度值略低.     

东海北部小型底栖动物群落对径流及黑潮暖流入侵的响应

为探究小型底栖动物群落在东海北部及其临近海域的分布规律,及其对环境因子的响应,于2016年9月和12月,对研究海域共计20个站位的小型底栖动物和环境因子进行了取样调查。调查结果显示,研究海域内共鉴定出小型底栖动物类群16个,其中海洋线虫为绝对优势类群,其他优势类群主要包括桡足类、动吻类和多毛类。9月航次小型底栖动物平均丰度为(1 758±759)个/（10 cm2）,线虫占95.6%;平均生物量为(1 216.4±464.7) μg/(10 cm2)(干重),线虫占55.26%。12月航次平均丰度为(2 011±1 471)个/(10 cm2),线虫占95.6%;平均生物量为(1 143.0±755.0)μg/(10 cm2)(干重),线虫占67.28%。聚类分析结果显示,小型底栖动物群落主要可以划分为近岸和外海两个组,其中近岸组小型底栖动物丰度显著高于外海站位。但在各断面分布上,绝大多数站位小型底栖动物丰度最高值均出现在60 m等深线附近,并且该水深处站位的温度和盐度数值均表现出黑潮水的特征。黑潮近岸分支对东海陆架入侵是导致小型底栖动物分布差异的重要原因,小型底栖动物在60 m等深线附近具有的高丰度值可作为其对黑潮入侵的响应。推测,黑潮入侵所导致的水体初级生产力增加以及黑潮水所携带的溶氧可能是导致该深度处小型底栖动物丰度增加的主要原因。     

渤海小型底栖动物生物量的初步研究

主要以线虫、桡足类、双壳类、多毛类和动吻5个类群对渤海小型底栖动物的生物量进行了估算,并对其水平分布进行了研究.结果表明,3个航次平均,渤海小型底栖动物年生物量为(干重)0.404g/(m2·a);1998年9～10月和1999年4～5月2个航次中小型底栖动物生物量的水平分布主要表现为渤海中东部和海峡口站位的生物量明显高于其他站位,但在1999年航次,海峡口靠近海岸的站位生物量下降,位于莱洲湾B1站位生物量明显上升.依据小型底栖动物的年生产力P=9B,估算渤海小型底栖动物的年平均生产力为(干重)3.636g/(m2·a).还对渤海小型底栖动物生物量与世界其他海域的进行了比较,认为渤海小型底栖动物生物量的数值与其他海域生物量的数值接近,但略偏低.就不同学者研究所得的线虫平均个体干重进行了比较研究.     

厦门东海域和安海湾小型底栖动物的密度和生物量

2007年6月对厦门东海域5个站位和晋江安海湾4个站位进行了小型底栖动物调查,分析了小型底栖动物的类群组成、密度和生物量．结果表明,从这两个海域样品中共鉴定出12个小型底栖动物类群,厦门东海域和安海湾自由生活海洋线虫分别占总数量的84．56％和98．19％．生物量组成和密度组成不同,厦门东海域多毛类（37．80％）、海洋线虫（33．32％）和底栖桡足类（18．64％）共同组成了小型底栖动物的生物量优势类群;安海湾生物量优势类群是由海洋线虫（67．64％）和多毛类（30．46％）组成．厦门东海域小型底栖动物的平均密度为72．67±10．21ind／cm^2,平均生物量为23．01±10．41μg/cm^2;安海湾的平均密度为31．48±45．58ind／cm^2,平均生物量为18．28±25．69μg/cm^2．     

Microbial Biomass and Organic Nutrients in the Deep-Sea Sediments of the Central Indian Ocean Basin

In order to assess the impact of deep-sea mining on the in situ benthic life, we measured the microbial standing stock and concentration of organic nutrients in the deep-sea sediments of the Central Indian Ocean Basin in the Indian pioneer area. Sediments were collected using box core and grab samples during September 1996. The total bacterial numbers ranged from 10 10 -10 11 cells per g -1 dry weight sediment. There was a marginal decrease in the number of bacteria from surface to 30 cm depth, though the subsurface section registered a higher number than did the surface. The highest numbers were encountered at depths of 4-8 cm. The retrievable number of bacteria were two orders less in comparison with the direct total counts of bacteria. An almost homogeneous distribution of bacteria, total organic carbon, living biomass, and lipids throughout the depth of cores indicates active microbial and benthic processes in the deep sea sediments. On the other hand, a uniform distribution of total counts of bacteria, carbohydrates, and total organic carbon in all the cores indicates their stable nature and suggests that they can serve as useful parameters for long-term monitoring of the area after the benthic disturbance. Further studies on temporal variability in this region would not only verify the observed norms of distribution of these variables but would also help to understand restabilization processes after the simulated benthic disturbance.     

海上大直径钢管桩打桩过程中桩周土强度弱化研究

海上大直径钢管桩打桩过程中,桩周土体受到强烈扰动而发生强度弱化,掌握桩周土体强度弱化规律对于准确预测打桩过程、保证工程安全具有重要意义。为研究土体强度弱化规律,开展了环剪试验模拟打桩对桩周土体的扰动,测试土体强度随剪切速率的变化规律,建立了描述土体强度弱化规律的拟合公式,引入到打桩分析软件中。研究结果表明：土体的强度折减程度不仅与土体本身的性质有关还受到土体的埋深和剪切速率的影响,埋深越深土体强度折减程度越低,剪切速率越高土体强度折减越高,在打桩分析中可采用这里推荐的线性折减方法来模拟不同深度处土体强度的折减规律。     

Geoacoustic Inversion via Genetic Algorithm and Its Application to Manganese Sediment Identification

An acoustic inversion method using a wide-band signal and two near field receivers is proposed and applied to multiple layered seabed models including a manganese sediment. The inversion problem can be formulated into a probabilistic model comprised of signals, a forward model, and additive noise. The forward model simulates wide-band signals, such as chirp signals, and is chosen to be the source-waveletconvolution plane wave modeling method. The wavelet matching technique, using weighted least-squares fitting, estimates the sediment sound-speed and thickness on which determination of the possible numerical ranges for a priori uniform distribution is based. The genetic algorithm is applied to a global optimization problem to find a maximum a posteriori solution for determined a priori search space. Here the object function is defined by an L 2 norm of the difference between measured and modeled signals. Not only the marginal pdf but also its statistics are calculated by numerical evaluation of integrals using the samples selected during importance sampling process of the genetic algorithm.     

A Review of Some Environmental Issues Affecting Marine Mining

This article reviews information recently available from existing marine and coastal mining for responses to environmental issues affecting marine mining at different depths. It is particularly but not exclusively concerned with those issues affecting seabed biodiversity impact and recovery. Much information has been gathered in the past 10 years from shallow mining operations for construction aggregate, diamonds, and gold, from coastal mines discharging tailings to shallow and deep water, and from experimental deep mining tests. The responses to issues identified are summarized in a series of eight tables intended to facilitate site-specific consideration. Since impacts can spread widely in the surface mixing layer SML, and can affect the biologically productive euphotic zone, the main issues considered arise from the depth of mining relative to the SML of the sea. Where mining is below the SML, the issue is whether it is environmentally better to bring the extraction products to the surface vessel for processing (and waste discharge), or to process the extraction products as much as possible on the seabed. Responses to the issues need to be sitespecific, and dependent on adequate preoperational environmental impact and recovery prediction. For deep tailings disposal from a surface vessel, there are four important environmental unknowns: (1) the possible growth of "marine snow" (bacterial flocs) utilizing the enormous quantities of fine tailings particles (hundreds or thousands of metric tons per day) as nuclei for growth, (2) the possibility that local keystone plankton and nekton species may migrate diurnally down to and beyond the depth of deep discharge and hence be subjected to tailings impact at depth, (3) the burrow-up capability of deep benthos and their ability to survive high rates of tailings deposition, and (4) the pattern and rate of dispersion of a tailings density current through the deep water column from discharge point to seabed. Actions to obtain relevant information in general and site-specifically are suggested.     

Increased Particle Fluxes at the INDEX Site Attributable to Simulated Benthic Disturbance

Particle fluxes were measured 7 m above the sea bottom during the predisturbance, disturbance, and postdisturbance periods by using time series sediment traps attached to seven deep-sea moorings deployed in the INDEX experiment site in the Central Indian Basin. The predisturbance particle fluxes varied between 22.3 to 55.1 mg m -2 day -1 . Increased and variable particle fluxes were recorded by the sediment traps during the disturbance period. The increase observed was 0.5 to 4 times more than the background predisturbance fluxes. The increases in particle fluxes (~4 times) recorded by the sediment trap located in the southwestern direction (DMS-1) were the greatest, which could be the result of preferential movement of resuspended particles generated during the deep-sea benthic disturbance along the general current direction prevailing in this area during the experimental period. Also, the traps located closer to the disturbance area recorded greater fluxes than did the traps far away, across the Deep Sea Sediment Resuspension System path. This variability in recorded particle fluxes by the traps around the disturbance area clearly indicates that physical characteristics such as grain size and density of the resuspended particles produced during the disturbance had an important effect on particle movement. The postdisturbance measurements during ~5 days showed a reduction in particle fluxes of ~50%, indicating rapid particle settlement.     

Determination of In Situ Sediment Shear Strength from Advanced Piston Corer Pullout Forces

The advanced piston corer (APC) has been used by the Ocean Drilling Program since 1985 for recovering soft sediments from the ocean floor. The pullout force measured on extracting the core barrel from the sediment is shown to correlate with the average shear strength of the sediment core measured in the ship's laboratory. A simple rule of thumb is derived relating the shear strength of the sediment to the pullout force. Multiple APC holes at individual sites allow the consistency of the pullout measurements to be assessed. The effects of different operational procedures during APC coring are also explored. Although generally applicable, the correlation between pullout force and laboratory measurements of shear strength breaks down for some APC holes, possibly because of the disturbance of some sediment types during the APC coring process. A better understanding of the physical process of APC coring, and its effect on the properties of the sediment both inside and immediately outside the core barrel, would indicate what confidence can be put on the measurement of pullout force as a way of evaluating the in situ shear strength of deep sea sediments.     

Phylogenetic diversity and phenotypic characterization of cultivable bacterioplankton isolated from polar oceans

A set of 27 marine planktonic bacteria isolated from the polar regions was characterized by 16S rDNA sequencing and physiological and biochemical testing. More than half of these bacteria were positive for caseinase, gelatinase and 13-glucosidase, and could utilize glucose, maltose or malic acid as carbon source for cell growth. Twelve isolates expressed nitrate reduction activities. Except for one antarctic isolate BSwlO175 belonging to Actinobacteria phylum, these isolates were classified as γ-Proteobacteria, suggesting that γ-Proteobacteria dominated in cultivable marine bacterioplankton at both poles. Genus Pseudoalteromonas was the predominant group in the Chukchi Sea and the Bering Sea, and genus ShewaneUa dominated in cultivable bacterioplankton in the Prydz Bay. With sequence similarities above 97%, genus Psychrobacter was found at both poles. These 27 isolates were psychrotolerant, and significant 16S rDNA sequence similarities were found not only between arctic and antarctic marine bacteria （ 〉 99% ）, but also between polar marine bacteria and bacteria from other aquatic environments （ ≥ 98.8% ）, including temperate ocean, deep sea, pond and lake, suggesting that in the polar oceans less temperature-sensitive bacteria may be cosmopolitan and have a bipolar, even global, distribution at the species level.     

Deep-Sea Sediment Compression Curves: Some Controlling Factors, Spurious Overconsolidation, Predictions, and Geophysical Reproduction

Oedometer tests have been carried out on 70 undisturbed surficial clays (at approximately 250 mm below the mudline), mostly collected by free-fall corers from sites widely scattered throughout the deep-sea North Atlantic. Acoustic measurements were also made, initially on contiguous samples and ultimately on the same sample using a geophysically instrumented oedometer which also collected electrical resistivity data. Apart from those quiescent areas below the carbonate compensation depth, such as north of the West Indies where very fine clays exist, most of the samples are silty clays whose geotechnical-geophysical properties are dependent on the type of clay minerals present (and their ability to take in moisture), the sand-size fraction, and the quantity of carbonate present. Thus the pure clays have high compressibilities which decrease on the addition of coarse particles, while the converse is true for the acoustic parameters, these increasing with the sand fraction. Using the notion of the intrinsic compression line for all samples, and comparison to it of the measured compression curves, it is clear that, contrary to some previously held ideas, most deep-sea clays are normally consolidated; the addition of carbonate has the effect of creating an open, stronger sediment skeleton. Interestingly, where information is available, the variation with depth of a sample's acoustic velocity follows the void ratio pressure relationship of the compression curve. This allows the construction of an in-situ sediment compression curve using the in-situ geophysical observations.