北部湾北部海域水体异养细菌的时空分布特征研究

为探讨环境因素对异养细菌丰度的影响,2016年9月至2017年8月通过月度航次调查对北部湾北部海域异养细菌丰度的时空分布特征进行了系统研究。结果表明,调查海区异养细菌丰度介于（2.75~56.86）×105 cell/mL,平均值为（11.01±6.31）×105 cell/mL。各季节细菌丰度从高至低依次为:夏季、春季、冬季、秋季。异养细菌丰度由近岸海域向西南深水区方向逐渐降低,在近岸浅水区垂直分布均匀,在水深大于20 m的海区出现季节性分层现象:表层细菌丰度较高,底层细菌丰度较低。主成分分析显示温度对异养细菌时空分布有重要影响,秋、冬季异养细菌丰度与温度呈显著负相关,在春、夏季呈显著正相关。细菌丰度与盐度呈显著负相关,说明海水盐度变化是细菌时空分布重要影响因素。异养细菌丰度与叶绿素a和溶解氧含量呈显著正相关,表明浮游植物初级生产过程影响了异养细菌的时空分布。在秋、冬和春3季异养细菌丰度与营养盐水平呈显著负相关,二者关系受浮游植物生物量间接影响。异养细菌时空分布差异取决于环境条件的变化,温度、盐度、叶绿素a和溶解氧含量是影响异养细菌丰度分布的主要因素。     

秋季东、黄海异养细菌(Heterotrophic Bacteria)的分布特点

2000年10-11月,乘"北斗号"考察船进行秋季"东、黄海生态系统动力学与生物资源可持续利用"大面调查,研究秋季东、黄海异养细菌的分布.结果表明,异养细菌在黄海和东海的丰度分别在(2.37-13.33)×108 cell/L和(3.05-13.62)×108 cell/L之间.细菌丰度最高值出现在长江口附近,且断面E和断面F各站位的细菌丰度明显高于其他断面.异养细菌丰度大小以长江口为中心向外海依次递减.东、黄海水体异养细菌生物量分别在244.45-1812.90mgC/m2和100.60-940.87mgC/m2之间.东、黄海异养细菌丰度无显著差异,但是东海海域水体异养细菌生物量高于黄海海域.异养细菌空间分布与浮游植物叶绿素在东海有一定的相关性,黄海异养细菌与硝酸盐浓度的相关性极显著.     

东海、黄海浮游病毒及异养细菌的分布研究

采用流式细胞仪对2009年春季东海、黄海浮游病毒和异养细菌的丰度进行了大尺度(119.5°—129°E, 25°—39°N)研究, 并分析了浮游病毒丰度、异养细菌丰度以及其与环境因子之间的相关性。结果表明, 研究海域浮游病毒、异养细菌的丰度范围分别为3.38×105—2.26×107个/mL(平均6.24×106个/mL)、5.83×103—1.23×106个/mL(平均1.22×105个/mL)。在水平分布上, 浮游病毒与异养细菌的变化趋势基本一致, 且均在山东半岛周边养殖海域、浙江东南沿海养殖区及舟山渔场北部形成明显的高值区; 黄海浮游病毒与异养细菌的丰度平均值均高于东海。在垂直分布上, 东海浮游病毒与异养细菌丰度值随水深呈明显下降趋势, 表层丰度值与30m以下各层差异显著(P<0.05); 在黄海, 二者丰度随水深降低趋势不明显。Pearson相关性分析显示: 调查海域浮游病毒丰度与异养细菌丰度显著正相关(r =0.288, P<0.01), 浮游病毒丰度与温度显著负相关(r = -0.243, P<0.05), 异养细菌丰度与盐度显著负相关(r = -0.245, P<0.05)。     

黄海夏季沉积物中异养细菌的现存量及分布特点

采用DAPI荧光染色技术, 进行了2007年6月和2008年7月黄海底栖异养细菌的丰度和生物量及分布特点研究。结果表明, 2007年底栖细菌的丰度为(1.13±0.39)×109cells/cm3, 生物量为(49.63±17.26)?gC/cm3; 2008年底栖细菌的现存量较2007年低了约43%。南黄海的底栖细菌现存量较北黄海分别低8%(2007年)和13%(2008年), 而中央冷水团则较其外围区域高约10%和37%, 在南黄海呈现中央冷水区域高于近岸的分布特点, 而在北黄海则正相反。统计分析表明, 2007年北黄海底栖细菌丰度与沉积物叶绿素a含量呈极显著正相关, 南黄海细菌丰度与沉积物有机质含量及底层水盐度呈极显著正相关; 而2008年北黄海细菌丰度与环境因子未见明显的相关性, 在南黄海则与底层水的叶绿素含量呈极显著负相关, 显示浒苔暴发可能对底栖细菌产生了明显抑制。     

三门湾微型浮游生物丰度的时空变化特征

粒径小于20 μm的微型浮游生物能迅速响应海洋环境变化,因而在海洋环境监测中起着重要作用。本文应用流式细胞技术研究了三门湾表层与底层海水中微型浮游生物（包括细菌、聚球藻、微型真核生物以及病毒）丰度的时空分布特征,探讨了微型浮游生物丰度与水体理化因子之间的关系。结果表明,三门湾海域微型浮游生物丰度范围:细菌,6.98×105~9.84×106 cells/mL;聚球藻,1.10×103~3.71×104 cells/mL;微型真核生物,1.04×103~3.75×104 cells/mL;病毒,1.01×106~3.47×107 mL-1。夏、秋两季表层微型浮游生物丰度均高于底层;秋季细菌、聚球藻和病毒丰度低于夏季,但微型真核生物丰度高于夏季;温度是造成微型浮游生物丰度季节差异的主要因素。微型浮游生物丰度的水平分布在夏季无显著规律,但秋季表底层均由内湾向外湾递减。秋季,除底层的细菌外,微型浮游生物丰度水平分布与pH和盐度呈显著负相关,同时与亚硝氮、硝氮、铵氮、叶绿素a呈显著正相关。     

基于CryoSat-2卫星测高数据的北极海冰体积估算方法

近30年来,北极海冰正发生着剧烈的变化。海冰体积是量化海冰变化的重要指标之一。本文以2015年CryoSat-2卫星测高数据和OSI SAF海冰类型产品为基础。提取了浮冰出水高度、积雪深度、海冰密集度、海冰类型等属性信息,通过数据内插、投影变换、栅格转换、空间重采样等工作将海冰属性信息统一为25 km×25 km分辨率的栅格数据集。根据流体静力学平衡原理,逐个估算栅格像元对应的海冰厚度值,将其与对应的海冰面积相乘,估算了北极海冰密集度大于75%海域的海冰体积,并分析了海冰厚度和体积的月变化和季节变化特征。用NASA IceBridge海冰厚度产品对反演的海冰厚度进行验证。结果表明二者相关系数为0.72,有较高的一致性。北极海冰平均厚度春季最大,夏季最小,分别约为2.99 m和1.77 m,最厚的海冰集中在格陵兰沿岸北部和埃尔斯米尔半岛以北海域。多年冰平均厚度大于一年冰。冬季海冰体积最大,约为23.30×103 km3,经过夏季的融化,减少了近70%。一年冰体积季节波动较大,而多年冰体积相对稳定,季节变化不明显。     

海南岛三亚湾浮游植物和细菌生物量时空分布特征及环境制约因素研究

根据2005年1,4,7和10月4个季度代表月份在海南岛三亚湾进行的现场综合调查资料,分析了海区浮游植物和浮游细菌生物量的空间分布及季节变异特征,探讨了它们与温度,DIN,PO₄3-,DO,BOD₅等生态环境因子的关系.结果表明,三亚湾海区2005年平均叶绿素a浓度为:(2.48±2.97)mg/m3,浮游植物生物量(C)为:(124.2±148.3)mg/m3,浮游植物生物量秋季最高,其他季节差异不大,除夏季外,浮游植物生物量(C)均表现为:表层大于底层;年平均浮游细菌丰度为(6.90±2.95)×108个/dm3,细菌生物量(C)为(13.79±5.90)mg/m3,细菌生物量夏季最高,往下依次为冬季、春季和秋季,且4个季节均为表层大于底层.4个季节表、底层浮游植物和细菌生物量的空间分布特征明显,均表现为从近岸的三亚河口往外海逐渐降低的趋势,三亚河的陆源输送和入海扩散是造成此分布特征的主要原因.无机营养盐中,DIN是调控浮游植物和细菌生物量的主导因子.位于热带的三亚湾,温度不成为影响二者季节差异的主要因子.浮游细菌生物量和浮游植物生物量的比值BB/PB为:0.06~0.15(平均为0.12),三亚湾浮游植物生物量和浮游细菌生物量间的相关性非常显著(P<0.01),初级生产是影响水域浮游细菌分布的重要因素.     

渤海浮游病毒的时空分布

利用流式细胞仪对渤海浮游病毒的丰度分布进行了研究。结果表明, 浮游病毒丰度在6.40 ×105—3.59 × 107个/mL之间。辽东湾断面, 浮游病毒丰度春季在西部海域较高, 夏季在中部海域较高, 秋、冬季在东、西部海域均较高; 渤海湾断面, 4 季丰度均在中部海域出现高值区; 莱州湾断面, 夏、秋、冬季均在东部海域出现丰度高值区; 渤海海峡断面, 春、秋、冬季于海峡中部海域丰度较高。垂直分布上, 表层和底层水体浮游病毒丰度在夏季差异性显著, 在其它季节无显著差异。夏季浮游病 毒丰度显著高于其它季节。夏季, 连续站浮游病毒丰度昼夜波动幅度较大, 冬季较平缓。相关性分析表明, 浮游病毒丰度在春、夏、秋季均与温度显著正相关; 夏季与异养细菌丰度、微微型真核浮游植物丰度显著正相关; 秋季与微微型浮游植物丰度显著正相关; 冬季仅与异养细菌丰度显著正相关。     

热带西太平洋Y3和M2海山微食物网主要类群生态分布与比较

2014年12月和2016年3月分别对热带西太平洋Y3海山(中层海山)和M2海山(浅海山)微食物网主要类群(包括聚球藻、原绿球藻、微微型真核浮游生物、异养细菌和浮游纤毛虫)丰度和生物量垂直分布进行了研究。结果表明,Y3和M2海山水文环境比较相似但略有区别,叶绿素最大值层(DCM)分别在75—100m和110m水层,微食物网各主要类群在垂直尺度上的分布与叶绿素a浓度紧密相关。其中浮游纤毛虫呈现"双峰型"模式,即丰度高值出现在表层和DCM层;原绿球藻和微微型真核浮游生物呈现"单峰型"模式,丰度高值出现在DCM层;聚球藻和异养细菌峰型相对不显著,DCM层以浅丰度较高,DCM层以深丰度明显降低。分析其原因,可能是受到温度、光照和营养盐的共同影响。Y3和M2海山微食物网结构的垂直变化不完全一致。其中,Y3海山30m以浅和150m以深异养细菌生物量占绝对优势,75—100m水层自养型生物(原绿球藻和微微型真核浮游生物)占绝对优势;M2海山75m以浅和200m以深异养细菌占绝对优势,110—150m自养型生物占绝对优势。M2海山自养型生物占优势的水层要明显深于Y3海山,可能与它们的海山类型和采样季节不同有关。     

渤海小型底栖生物的丰度和生物量

该文是渤海 1997年 6月、1998年 9月和 1999年 4月 3个航次小型底栖生物调查结果。结果表明 ,3个航次小型底栖生物的平均丰度分别为 :(2 30 0± 12 0 6 ) ind/ (10 cm2 )、(86 9± 5 10 ) ind/(10 cm2 )和 (6 32± 4 0 0 ) ind/ (10 cm2 )。平均生物量分别为 :(15 2 1± 6 34) μg(dwt) / (10 cm2 )、(72 5±35 4 )μg (dwt) / (10 cm2 )和 (5 17± 393)μg (dwt) / (10 cm2 )。共鉴定出 14个小型底栖生物类群 ,其中自由生活海洋线虫丰度占绝对优势 ,桡足类丰度居第 2位 ,这两个类群总和占小型底栖生物总丰度的 94 .8%～ 97.5 %。在生物量中所占比例列前 4位的类群依次为线虫、多毛类、桡足类、双壳类 ,加起来超过小型底栖生物总生物量的 80 %。小型底栖生物的 74 %分布于 2 cm以浅表层中。小型底栖生物的丰度和生物量在渤海海峡和渤海中东部较高 ,与环境因子的相关分析表明小型底栖生物的丰度与水深呈极显著的正相关 ,与沉积物的中值粒径呈显著的负相关     

Improvement of short-term sea ice forecast in the southern Okhotsk Sea

In this study, a numerical model of 7-day forecast of sea ice produced by the Japan Meteorological Agency was improved by the following approaches. First, a new ice dynamic model was introduced: the distributed mass/discrete floe model. The model takes account of discrete characteristics of ice floes and well simulates the ice edge location at low computational cost. Secondly, the grid size was reduced to 5 × 5 km for the future high resolution forecasts. Next, the sea surface current data was examined because it significantly influences sea ice movement. We applied two new datasets of HINO and Okhotsk Ocean General Circulation Model (Okhotsk OGCM), which are estimated by numerical simulations, for the 7-day forecast of sea ice. Ice southward speed in January and the whorl formations in February and March were well reproduced with Okhotsk OGCM datasets. Finally, the ocean heat flux at the ice-ocean interface was refined. As a result, we achieved an ice edge error reduction from 30.8 km to 23.5 km.     

<Emphasis Type="Italic">In-situ</Emphasis> measured primary productivity of ice algae in Arctic sea ice floes using a new incubation method

Recent changes in climate and environmental conditions have had great negative effects such as decreasing sea ice thickness and the extent of Arctic sea ice floes that support ice-related organisms. However, limited field observations hinder the understanding of the impacts of the current changes in the previously ice-covered regions on sea ice algae and other ice-related ecosystems. Our main objective in this study was to measure recent primary production of ice algae and their relative contribution to total primary production (ice plus pelagic primary production). In-situ primary productivity experiments with a new incubation system for ice algae were conducted in 3 sea ice cores at 2 different ice camps in the northern Chukchi Sea, 2014, using a ¹³C and ¹⁵N isotope tracer technique. A new incubation system was tested for conducting primary productivity experiments on ice algae that has several advantages over previous incubation methods, enabling stable carbon and nitrogen uptake experiments on ice algae under more natural environmental conditions. The vertical C-shaped distributions of the ice algal chl-a, with elevated concentrations at the top and bottom of the sea ice were observed in all cores, which is unusual for Arctic sea ice. The mean chl-a concentration (0.05 ± 0.03 mg chl-a m^?3) and the daily carbon uptake rates (ranging from 0.55 to 2.23 mg C m^?2 d^?1) for the ice algae were much lower in this study than in previous studies in the Arctic Ocean. This is likely because of the late sampling periods and thus the substantial melting occurring. Ice algae contributed 1.5–5.7% of the total particulate organic carbon (POC) contents of the combined euphotic water columns and sea ice floes. In comparison, ice algae contributed 4.8–8.6% to the total primary production which is greater than previously reported in the Arctic Ocean. If all of the ice-associated productions were included, the contributions of the sea ice floes to the total primary production would be greater in the Arctic Ocean and their importance would be greater in the arctic marine ecosystems.     

Abundance,biomass and composition of the sea ice biota of the Greenland Sea pack ice

During two cruises to the Greenland Sea, we studied the abundance and biomass of the sea ice biota in summer and late autumn. The mean calculated biomass of the sympagic community was 0.2 g C m⁻² ice. Algae contributed on average 43% to total biomass, followed by bacteria (31%), heterotrophic flagellates (20%), and meiofauna (4%). Diatoms were the main primary producers (60% of total algal biomass), but flagellated cells contributed significantly to the algal biomass. Among the meiofauna, ciliates, nematodes, acoel turbellarians and crustaceans were dominant. Calculated potential ingestion rates of meiofauna (0.6 g C m⁻² (120 d)⁻¹) are on the same order of magnitude as annual primary production estimates for Arctic multi-year sea ice. We therefore assume that grazing can control biomass accumulation of primary producers inside the sea ice.     

渤海海冰漂移过程的数值模拟和试验

建立了一个包含潮流作用的准定常海冰动力学模式，利用实测风资料和计算的潮流场对辽东湾中部的冰块漂移过程进行数值模拟，模拟的冰块漂移过程和实况基本一致。表明模式具有反映冰漂移过程动力特征的能力。通过对各动力因子的数值试验，说明引入潮流作用的必要性，并分析了各动力因子在冰漂移过程中的作用。     

南海北部微微型光合浮游生物的丰度及环境调控

1999年夏季首次在南海北部海域进行了微微型光合浮游生物(photosynthetic picoplankton)的观测研究,发现了聚球藻(Synechococcus,Syn)、原绿球藻(Prochlorococcus,Pro)和真核球藻(Eukaryotes,Euk)3类微微型光合浮游生物存在,并对其丰度与分布及其环境调控机制进行了研究.结果表明,研究海区Syn,Pro和Euk丰度的总平均值分别为(5.0±7.6)×104,(4.6±4.2)×104和(1.8±1.1)×103个/cm3,Syn种群丰度的高值大多出现在营养盐丰富的雷州半岛及海南岛东部海域的河口、沿岸带与陆架,北部湾次之,是陆坡和开阔海的数十分之一;其水层分布主要在跃层以上,跃层以下其值迅速降低,发现Pro存在两个不同种群:表层种群和深层种群,前者分布型式与Syn相似,后者的分布型式迥然不同,其丰度向营养盐贫瘠的外海、陆坡和开阔海显著增高;同时发现Pro水层分布的高值主要出现在真光层的底部,并往往出现在硝酸盐跃层之上,Euk在不同海域的分布差异不如Syn和Pro来得大,但仍以沿岸带与陆架为高,陆坡与开阔海较低,水层分布的高值大多出现在真光层的底部,而且它是对次表层叶绿素a极大值的主要贡献者,这些分布型式的差异,取决于环境的调控和3类生物生态生理适应的差异.研究海区Syn,Pro和Euk 3类微微型光合浮游生物对微微型光合浮游生物生态生理适应的差异.研究海区Syn,Pro和Euk3类微微型光合浮游生物对微微型光合浮游生物群落总丰度的贡献分别为50.996,47.3%和1.8%.     

春季黄海浮游植物生态分区:物种组成

Phytoplanktonic ecological provinces of the Yellow Sea(31.20°–39.23°N, 121.00°–125.16°E) is derived in terms of species composition and hydrological factors(temperature and salinity). 173 samples were collected from 40 stations from April 28 to May 18, 2014, and a total of 185 phytoplanktonic algal species belonging to 81 genera of 7phyla were identified by Uterm?hl method. Phytoplankton abundance in surface waters is concentrated in the west coast of Korean Peninsula and Korea Bay, and communities in those areas are mainly composed of diatoms and cyanobacteria with dominant species of Cylindrotheca closterium, Synechocystis pevalekii, Chroomonas acuta,Paralia sulcata, Thalassiosira pacifica and Karenia mikimotoi, etc. The first ten dominant species of the investigation area are analyzed by multidimensional scaling(MDS) and cluster analysis, then the Yellow Sea is divided into five provinces from Province I(P-I) to Province V(P-V). P-I includes the coastal areas near southern Liaodong Peninsula, with phytoplankton abundance of 35 420×10~3–36 163×10~3 cells/L and an average of 35 791×10~3 cells/L, and 99.84% of biomass is contributed by cyanobacteria. P-II is from Shandong Peninsula to Subei coastal area. Phytoplankton abundance is in a range of 2×10~3–48×10~3 cells/L with an average of 24×10~3cells/L, and 63.69% of biomass is contributed by diatoms. P-III represents the Changjiang(Yangtze River) Diluted Water. Phytoplankton abundance is 10×10~3–37×10~3 cells/L with an average of 24×10~3 cells/L, and 73.14% of biomass is contributed by diatoms. P-IV represents the area affected by the Yellow Sea Warm Current.Phytoplankton abundance ranges from 6×10~3 to 82×10~3 cells/L with an average of 28×10~3 cells/L, and 64.17% of biomass is contributed by diatoms. P-V represents the cold water mass of northern Yellow Sea. Phytoplankton abundance is in a range of 41×10~3–8 912×10~3 cells/L with an average of 1 763×10~3 cells/L, and 89.96% of biomass is contributed by diatoms. Overall, structures of phytoplankton community in spring are quite heterogeneous in different provinces. Canonical correspondence analysis(CCA) result illustrates the relationship between dominant species and environmental factors, and demonstrates that the main environmental factors that affect phytoplankton distribution are nitrate, temperature and salinity.     

The estimate of sea ice resources quantity in the Bohai Sea based on NOAA/AVHRR data

The research on sea ice resources is the academic base of sea ice exploitation in the Bohai Sea. According to the ice-water spectrum differences and the correlation between ice thickness and albedo, this paper comes up with a sea ice thickness inversion model based on the NOAA/AVHRR data. And then a sea ice resources quantity (SIQ) time series of Bohai Sea is established from 1987 to 2009. The results indicate that the average error of inversion sea ice thickness is below 30%. The maximum sea ice resources quantity is about 6 × 10 9 m 3 and the minimum is 1.3 × 10 9 m 3 . And a preliminary analysis has been made on the errors of the estimate of sea ice resources quantity (SIQ).     

北冰洋楚科奇海浮游细菌丰度和生产力及其分布特征

2012年夏季中国第5次北极科学考察期间,对北冰洋楚科奇海及其北部边缘海浮游细菌丰度和生产力进行了测定,并将其与环境因子进行了相关性分析。结果显示,楚科奇海浮游细菌丰度的变化范围为0.56×108~6.41×108 cells/dm3,平均为2.25×108 cells/dm3;细菌生产力介于0.042~1.92mg/(m3·d)(以碳计)之间,平均为0.54mg/(m3·d)(以碳计),与已有研究结果基本相当。陆架区细菌丰度和生产力要明显高于北部边缘区,但前者的单位细菌生产力则较低。与环境因子的相关性分析显示,细菌丰度与温度和叶绿素a浓度存在显著正相关(p0.01),表明北极变暖导致的海水升温及浮游植物生物量的增加均会促进细菌的生长,从而进一步提高细菌在海洋生态系统和碳循环中的作用。但陆架区的细菌生产力与环境参数均没有显著相关性,表明其影响因素较为复杂;生产力在北部边缘区则仅与叶绿素a存在显著正相关(p0.01),表明浮游植物生长过程产生的溶解有机碳(DOC)是细菌生长最为主要的碳源,碳源的单一可能制约细菌的生产从而导致该海域无冰状态下细菌丰度的增加不如预期,但融冰过程带来的大量DOC将促进细菌活性的增加。     

Community structure of picoplankton abundance and biomass in the southern Huanghai Sea during the spring and autumn of 2006

During spring and autumn of 2006,the investigations on abundance,carbon biomass and distribution of picoplankton were carried out in the southern Huanghai Sea(Yellow Sea,sHS) . Three groups of picoplankton-Synechococcus(Syn) ,Picoeukaryotes(PEuk) and heterotrophic bacteria(BAC) were identified,but Prochlorococcus(Pro) was undetected. The average abundance of Syn and PEuk was lower in spring(5.0 and 1.3 × 10 3 cells/cm 3,respectively) than in autumn(92.4 and 2.7 × 10 3 cells/cm 3,respectively) ,but it was opposite for BAC(1.3 and 0.7 × 10 6 cells/cm 3 in spring and autumn,respectively) . And the total carbon biomass of picoplankton was higher in spring(37.23 ± 11.67) mg/m 3 than in autumn(21.29 ± 13.75) mg/m 3 . The ratios of the three cell abundance were 5:1:1 341 and 30:1:124 in spring and autumn,respectively. And the ratios of carbon biomass of them were 5:7:362 and 9:4:4 in spring and autumn,respectively. Seasonal distribution characteristics of Syn,PEuk,BAC were quite different from each other. In spring,Syn abundance decreased in turn in the central waters(where phytoplankton bloom in spring occurred) ,the southern waters and inshore waters of the Shandong Peninsula(where even Syn was undetected) ;the high values of PEuk abundance appeared in the central and southern waters and the inshore of the Shandong Peninsula;the abundance of BAC was nearly three order of magnitude higher than that of photosynthetic picoplankton,and high values appeared in the central waters. In autumn,Syn abundance in central waters was higher than that in surrounding waters,while for PEuk abundance,it decreased in turn in the inshore waters of the Shandong Peninsula,the southern waters and the central waters;BAC presented a complicated blocky type distribution. Sub-surface maximum of each group of picopalnkton appeared in both spring and autumn. Compared with the available literatures concerning the studied area,the range of Syn abundance was larger,and the abundance of BAC was higher. In addition,the conversion factors for calculating picoplanktonic carbon biomass were discussed,with the conversion factors which are different from previous studies in the same surveyed waters. The result of regression analysis showed that there was distinct positive correlation between BAC and photosynthetic picoplankton in spring(r=0.61,P 0.001) ,but no correlation was found in autumn.     

Phytoplankton of the Large Aral Sea in June 2008

The species composition, cell concentration, and biomass in the surface layer were determined at 10 stations in the central part of the Western Basin (WB) and one station in the Eastern Basin (EB) of the Large Aral Sea. A total of 42 algae species were found. Diatoms had the highest number of species. The similarity of the phytoplankton composition in the WB was high, whereas the phytoplankton composition in the WB and EB differed significantly. In the WB, the cell concentration and biomass of the phytoplankton varied from 826 × 10³ to 6312 × 10³ cells/l (the mean value was 1877 × 1586 × 10³ cells/l) and from 53 to 241 μgC/l (the mean value was 95 × 56 μgC/l). In the EB, the phytoplankton abundance was 915 × 10³ cells/l and 93 μgC/l. The vertical distribution of the phytoplankton in upper 35 m was investigated at one station in the WB. The maximum values of the algal cell concentration and biomass were recorded under the thermocline at the 20 m depth. The integrated biomass of the phytoplankton was 14 gC/m².