Phytoplankton pigment patterns and community composition in the northern South China Sea during winter

Phytoplankton pigment patterns and community composition were investigated in the northern South China Sea using high-performance liquid chromatography and the CHEMTAX software from February 11 to 23, 2009. We recognized four different vertical distribution patterns of pigments: chlorophyll a (Chl a)-like type, divinyl chlorophyll a (DV Chl a) type, even distribution type, and surface type. The average value of ratios of accessory photo-protective pigments (APP) to accessory photo-synthetic pigments was 0.8...     

Phytoplankton functional groups: Short‐term variation in a tropical tidal‐forced estuarine system

Functional groups have become an important tool for characterizing communities of marine and estuarine environments. Their use also holds promise for a better understanding of the temporal dynamics of phytoplankton. This study aimed to evaluate the contributions of phytoplankton size fractions and functional groups characterizing short‐term variation throughout tidal cycles and between dry and rainy seasons in a tropical estuarine system. Camamu Bay is an oligotrophic estuarine system that is under strong influence from tropical shelf waters and is characterized by high salinity and low concentrations of dissolved nutrients. Surface‐water samples were collected at nine sampling sites distributed among the three hydrodynamic regions of the bay, and at a mooring, at 3‐hr intervals during tidal cycles (12 hr each) in both the rainy and the dry season. Although the abundances of the phytoplankton fractions (pico‐, nano‐, and micro‐) were higher in the rainy season and during periods of higher tide, they were not significantly higher. The phytoplankton community in the bay comprises three functional groups: GI = “colonial” (i.e., chain‐forming diatoms and filamentous cyanobacteria); GII = “GALD >40” (i.e., pennate and centric diatoms with MDL >40 µm), and GIII = “flagellates” (i.e., species with motility via flagella). Nanoflagellates were the most abundant form in the bay, while chain‐forming diatoms, in particular, contributed to the microphytoplankton fraction during both the rainy and dry seasons. Functional groups, as defined by cluster analysis, reflected ecological strategies compatible with the high hydrodynamics of Camamu Bay, which is characterized by processes of tidal‐forced intense mixing, mainly during periods of spring tides. The phytoplankton of the bay was found to possess a series of attributes (functional traits) that endow them with some resistance to sinking. Functional diversity indexes (FEve, FDiv, and FDis) indicated a stable community without significant short‐term variation due to low variability in the environmental conditions of the system during the study period.     

中国海洋生物研究70年

随着中国“海洋强国”战略的提出,加快建设海洋类学科的发展成为历史必然,海洋生物是海洋不可分割的一部分,海洋环境和生物相互依存,相互作用,海洋生物研究重要性日益凸显。为纪念中国科学家在海洋生物领域的突出贡献,本文回顾了建国以来中国海洋生物相关的重要研究进展,梳理了中国科学家在海洋生物领域的突出贡献,系统总结并讨论了未来研究方向,抛砖引玉,希望籍此助推中国海洋生物研究的新高潮。     

黄海苏北浅滩海域春夏季浮游植物时空分布及其控制生态因子

The Subei Shoal is a special coastal area with complex physical oceanographic properties in the Yellow Sea. In the present study, the distribution of phytoplankton and its correlation with environmental factors were studied during spring and summer of 2012 in the Subei Shoal of the Yellow Sea. Phytoplankton species composition and abundance data were accomplished by Uterm?hl method. Diatoms represented the greatest cellular abundance during the study period. In spring, the phytoplankton cell abundance ranged from 1.59×10~3 to 269.78×10~3 cell/L with an average of 41.80×10~3 cell/L, and Skeletonema sp. and Paralia sulcata was the most dominant species. In summer, the average phytoplankton cell abundance was 72.59×10~3 cell/L with the range of 1.78×10~3 to 574.96×10~3 cell/L, and the main dominant species was Pseudo-nitzschia pungens, Skeletonema sp., Dactyliosolen fragilissima and Chaetoceros curvisetus. The results of a redundancy analysis(RDA) showed that turbidity,temperature, salinity, pH, dissolved oxygen(DO), the ratio of dissolved inorganic nitrogen to silicate and SiO_4-Si(DIN/SiO_4-Si) were the most important environmental factors controlling phytoplankton assemblages in spring or summer in the Subei Shoal of the Yellow Sea.     

海洋浮游植物metacaspase蛋白酶研究进展

Metacasapase蛋白酶在植物生长发育及适应逆境胁迫方面发挥着重要的调控作用。近年来发现,在逆境胁迫诱导海洋浮游植物细胞程序性死亡(PCD)的过程中,metacaspase蛋白酶执行类似于其在高等植物中的功能,但它们的结构与生化特性等却有别于高等植物metacaspases。在对比分析metacaspases及其家族成员的基础上,本文总结了近年来海洋浮游植物metacaspase蛋白酶的相关研究成果,分别对其结构、生化特性、底物及功能等进行了阐述,旨在为深入研究其调控网络途径及作用机制提供参考。     

大亚湾夏、冬浮游植物群落结构与环境因子

根据2015-08和2015-12大亚湾海域的调查数据,对大亚湾浮游植物种类组成、丰度分布、多样性及与环境因子的关系等进行分析。结果显示:夏冬两季共鉴定出浮游植物5门39属102种,其中硅藻70种,甲藻27种,金藻和绿藻分别为2种,蓝细菌1种。浮游植物丰度夏季波动范围为(0.80～42.43)×10~6个/m^3,均值为10.70×10~6个/m^3;冬季波动范围为(0.13～43.80)×10~6个/m^3,均值为7.24×10~6个/m^3;浮游植物丰度组成夏季以硅藻为主,占总丰度的97.51%,冬季则以金藻和蓝细菌为主,占97.41%。夏季优势种为中肋骨条藻(Skeletonema costatum)、柔弱拟菱形藻(Peseudo-nitzschia delicatissima)和菱形海线藻(Thalassionema nitzschioides);冬季优势种为球形棕囊藻(Phaeocystis globosa)和束毛藻(Trichodesmium sp.)。冗余分析显示,影响大亚湾浮游植物分布的关键环境因子,夏季为透明度、氮磷比、温度和盐度,冬季为盐度、pH、温度和亚硝氮。     

放养鱼类对乌梁素海浮游植物群落结构的影响

【目的】探讨放养鱼类对乌梁素海水生态的影响。【方法】2017年7月-2018年4月共设置6个采样点,分别对乌梁素海现存水草区与鱼类放养区水体表层浮游植物进行调查分析,并对两区域的营养状态与水质状况进行分析评价。【结果】调查共鉴定出浮游植物8门76属154种,其中现存水草区(142种)多于鱼类放养区(88种),现存水草区浮游植物种属组成为硅藻-绿藻-蓝藻型,鱼类放养区为绿藻-硅藻-蓝藻型。现存水草区平均多样性指数(H′)、丰富度指数(D)分别为4.29、4.23,明显高于鱼类放养区(2.46、2.30)。两区域浮游植物优势种共26种,其中现存水草区(24种)多于鱼类放养区(11种),现存水草区以蓝藻、绿藻、硅藻为主要优势种,而鱼类放养区则以蓝藻为绝对优势种。浮游植物平均密度现存水草区(25.19×106 cell/L)显著低于鱼类放养区(275.79×106 cell/L)(P <0.05),而平均生物量现存水草区(13.34 mg/L)虽低于鱼类放养区(36.20 mg/L),但差异不显著(P> 0.05)。研究显示,现存水草区营养状态为中营养-轻度富营养,鱼类放养区为中度富营养-重度富营养;两区域水质均为中度污染到重度污染状态。【结论】与历史数据相比,现存水草区浮游植物群落表现为浮游植物多样性下降、种类小型化、优势种转变为蓝藻为主。与现存水草区相比,鱼类放养区浮游植物群落因放养鲢、鳙的摄食导致浮游植物多样性下降、种类小型化、优势种向可食性差、生长快的群体型蓝藻演替。     

Spatial-temporal variation of phytoplankton community structure in Jiaozhou Bay,China

To better understand the spatial-temporal variation in phytoplankton community structure and its controlling factors in Jiaozhou Bay, Qingdao, North China, four seasonal sampling were carried out in 2017. The phytoplankton community structure and various environmental parameters were examined. The phytoplankton community in the bay was composed of mainly diatoms and dinofl agellates, and several other species of Chrysophyta were also observed. Diatoms were the most dominant phytoplankton group throughout the year, except in spring and winter, when Noctiluca scintillans was co-dominant. High Si/N ratios in summer and fall refl ect the high dominance of diatoms in the two seasons. Temporally, the phytoplankton cell abundance peaked in summer, due mainly to the high temperatures and nutrient concentrations in summer. Spatially, the phytoplankton cell abundance was higher in the northern part of the bay than in the other parts of the bay in four seasons. The diatom cell abundances show signifi cant positive correlations with the nutrient concentrations, while the dinofl agellate cell abundances show no correlation or a negative correlation with the nutrient concentrations but a signifi cant positive correlation with the stratifi cation index. This discrepancy was mainly due to the diff erent survival strategies between diatoms and dinofl agellates. The Shannon-Wiener diversity index ( H′) values in the bay ranged from 0.08 to 4.18, which fell in the range reported in historical studies. The distribution pattern of H′ values was quite diff erent from that of chlorophyll a , indicating that the phytoplankton community structure might have high biomass with a low diversity index. Compared with historical studies, we believe that the dominant phytoplankton species have been changed in recent years due mainly to the changing environment in the Jiaozhou Bay in recent 30 years.     

上海某污水厂排水口邻近海域浮游植物群落与水质评价

上海作为人海互通极度频繁的滨海城市,海岸工程设置繁多,污水处理厂是缓解用水压力的重要海岸工程,该类型海岸工程的环境影响是研究热点,因此基于2019年上海某污水厂出水口邻近海域全年浮游植物群落结构数据,分析了浮游植物生物多样性,以期对污水处理厂进行环境影响评价.共鉴定出浮游植物6门95种,其中硅藻门35种,蓝藻门27种,...     

A spectral response approach for detecting dominant phytoplankton size class from satellite remote sensing

An important goal in ocean colour remote sensing is to accurately detect different phytoplank- ton groups with the potential uses including the validation of multi-phytoplankton carbon cycle models; synoptically monitoring the health of our oceans, and improving our understanding of the bio-geochemical interactions between phytoplankton and their environment. In this paper a new algorithm is developed for detecting three dominant phytoplankton size classes based on distinct differences in their optical signatures. The technique is validated against an independent cou- pled satellite reflectance and in situ pigment dataset and run on the 10-year NASA Sea viewing Wide Field of view Sensor (SeaWiFS) data series. Results indicate that on average 3.6% of the global oceanic surface layer is dominated by microplankton, 18.0% by nanoplankton and 78.4% by picoplankton. Results, however, are seen to vary depending on season and ocean basin.