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排序方式: 共有32条查询结果,搜索用时 15 毫秒
1.
Phytoplankton trends in the Baltic Sea   总被引:11,自引:2,他引:9  
2.
海洋蓝细菌在微食物环中作用的初步研究   总被引:8,自引:1,他引:7       下载免费PDF全文
在渤海,汇泉湾小型浮浮动物对蓝细菌有明显的捕食压力,春季,有小型浮游动物的实验水体中蓝细菌的日生长率为0.02-0.28/d,甭除小型浮游动物的实验水体中蓝细菌的日生长率为0.38-0.70d。  相似文献
3.
The Black Band Disease of Atlantic Reef Corals.   总被引:4,自引:0,他引:4  
Abstract. The cyanophyte (Cyanobaclerium) that causes black band disease of Atlantic reef corals is described under the name Phormidium corallyticum , new species (family Oscillatoriaceae) , and its generic placement is discussed from the standpoint of the GEITLERian (classical) and D rouet systems. Distinguishing characters include densely interwoven filaments that form a blackish mat and trichomes without significant cell wall constrictions, almost isodiametric cells (4.2 μm mean width, 4.0μm mean length) tapering end cells, and thin (0.1 μm or less) mucilaginous wall coating. Transmission electron microscopy shows typical cyanophyte cell walls, sheath, nucleoplasm, and cytoplasmic inclusions, but an unusual thylakoid of straight, and, as seen in cell cross section, radiating lamellae. The dark coloration is due to a high concentration of phycocyanin and some phycoerythrin. The species is similar to Oscillatoria (= Phormidium) submembranacea , which differs in several morphological features and does not infect coral tissue. It is concluded that Phormidium should be used for this and related species that have external mucilage but not the distinct sheath found in Lyngbya.  相似文献
4.
微生物碳酸盐岩研究:回顾与展望   总被引:3,自引:0,他引:3  
在查阅国内外大量文献资料的基础上,回顾与综述了微生物碳酸盐岩近几年的研究现状及进展。微生物碳酸盐岩是由钙化微生物(蓝绿菌、微藻等)在微生物作用、沉积作用及成岩作用的共同作用下形成的,其种类繁多,包括叠层石、凝块石、树形石、均一石、核形石和纹理石等。它在各个地质历史时期均有发育,但主要繁盛于中新元古代和早古生代;自显生宙以来,随着后生动物的繁育微生物碳酸盐岩总体呈衰退趋势。另外,微生物对白云石的直接沉淀、碳酸盐泥丘及第五类原生沉积构造的形成具有重要作用。近年来,对微生物碳酸盐岩研究的发展使得碳酸盐岩的成因及分类得到了补充与完善。  相似文献
5.
Abstract. Recent findings indicate that heterotrophic bacteria and not phytoplankton are the most numerous biomass components even in the euphotic zone of oligotrophic, open oceans. In this study it was hypothesized that the microbial biomass components change within a few hundred meters as oligotrophic water flows across the reef and becomes enriched with nutrients. Along a trophic gradient, four stations at the Atlantic Barrier Reef off Belize (Central America) were sampled for microbial biomass components. Phytoplankton biomass (measured as chlorophyll a) ranged from the most oligotrophic station (St. 1) to the most eutrophic station (St. 4) from 6.9–415.5 μg CI"' (assuming a C:chl a ratio of 30): heterotrophic bacterial biomass increased 4-fold (from 10.1–46.4μg C 1-1), heterotrophic nanoflagellate (HNAN) biomass increased from 4.6-19ug C 1-1, and cyanobacteria from 0.9-4.5 μg C-1-1. Production estimates derived from seawater cultures revealed a 5-fold increase in bacterial production from the oligotrophic station (3.7 ug C 1-1 d-1) to the eutrophic St. 4 (17.8ug C-1-d1-1)- Cyanobacterial production rose from 1.1–3.5ug C-1–d-1 and HNAN production from 0.65-1.13 μg C-1-1 -d-1. While cyanobacteria contributed between 13 and 20% to the autotrophic plankton component in the oligotrophic waters, their contribution dropped to about 1 % at the eutrophic stations.  相似文献
6.
1Introduction Bacteriaareactivelyinvolvedinthedecomposi tionanddegradationoforganicmatterandxenobiotic compound,biogeochemicaltransformationsandnu trientrecyclingoflife essentialelements.Owingto freshwaterrunoff,wastewaterdischargeandaquacul turalpractice…  相似文献
7.
Tower-based radiometric observations at a coastal site in the Baltic Proper   总被引:1,自引:1,他引:0  
An autonomous above-water radiometer was operated during the summer of 2005 on the Gustaf Dalén Lighthouse Tower (GDLT) off the Swedish coast in the Baltic Proper. Normalized water leaving radiances, LWN(λ), produced from measurements performed with the autonomous system at various center-wavelengths λ in the 412–675 nm spectral range, were applied within the context of water quality monitoring and satellite ocean color validation activities. Specifically these in situ radiometric data were used to determine the chlorophyll a concentration through a regional band-ratio algorithm and to assess LWN(λ) derived from top-of-atmosphere Moderate Resolution Imaging Spectroradiometer (MODIS) observations. The in situ measurements collected during a bloom occurring in July 2005 were also used to investigate the spectral and small scale temporal-spatial variability of LWN(λ) in the presence of cyanobacteria.  相似文献
8.
蓝藻钙信号的研究进展   总被引:1,自引:0,他引:1  
近年来对钙离子在蓝藻信号传导中的潜在作用进行了研究。大量证据表明,蓝藻能够“感知”与“区分”不同的环境刺激,并以钙瞬变的形式产生反应。这是不同的环境刺激所引起的钙离子的内流或外流的结果。由氮缺乏所引起的钙信号对丝状蓝藻鱼腥藻异型胞的分化非常关键。鱼腥藻PCC7120中钙结合蛋白(CcbP)的发现为钙信号在蓝藻中的作用提供了进一步的证据,CcbP的降解或表达下调是氮缺乏时钙信号产生的主要原因。但是与真核生物相比,蓝藻钙信号的编码与解码机制还不清楚。因此,为了解钙信号如何在蓝藻中发挥作用,还要进行系统的、深入的研究,特别是从细胞水平了解钙信号的动力学特征。  相似文献
9.
An increased intensity of cyanobacterial blooms and their potentially harmful effects have attracted the attention of environmental agencies, water authorities and the general public worldwide. Reliable operational monitoring methods of coastal waters, lakes and ponds are needed. Mapping of the surface extent of cyanobacterial blooms with remote sensing is straightforward, but recognizing waters dominated by cyanobacteria throughout the water column and quantitative mapping of cyanobacterial biomass with remote sensing is more complicated. Unlike most algae, cyanobacteria can regulate their buoyancy and move vertically in the water column. We used the Hydrolight 4.2 radiative transfer model and the specific optical properties of three species of cyanobacteria to study the impact of vertical distribution of cyanobacteria on the remote sensing signal. The results show that the vertical distribution of cyanobacteria in the water column has a significant impact on the remote sensing signal. This result indicates that developing remote sensing methods for quantitative mapping of cyanobacterial biomass is much more complex than quantitative mapping of an algal biomass that is uniformly distributed in the top mixed layer of water column.  相似文献
10.
Distribution of cyanobacteria cannot be evaluated using chlorophyll a (Chla) in vivo fluorescence, as most of their Chla is located in non-fluorescing photosystem I. Phycobilin fluorescence, in turn, is noted as a useful tool in the detection of cyanobacterial blooms. We applied phycocyanin (PC) fluorometer in the monitoring of the filamentous cyanobacterial bloom in the Baltic Sea. For the bloom forming filamentous cyanobacteria Aphanizomenon flos-aquae and Nodularia spumigena, PC fluorescence maximum was identified using the excitation–emission fluorescence matrix. Consequently, the optical setup of our instrument was noted to be appropriate for the detection of PC, and with minor or no interference from Chla and phycoerythrin fluorescence, respectively.During summer 2005, the instrument was installed on a ferryboat commuting between Helsinki (Finland) and Travemünde (Germany), and data were collected during 32 transects providing altogether 200 000 fluorescence records. PC in vivo fluorescence was compared with Chla in vivo fluorescence and turbidity measured simultaneously, and with Chla concentration and biomass of the bloom forming filamentous cyanobacteria determined from discrete water samples.PC fluorescence showed a linear relation to the biomass of the bloom forming filamentous cyanobacteria, and the other sources of PC fluorescence are considered minor in the open Baltic Sea. Estimated by PC fluorescence, cyanobacterial bloom initiated late June at the Northern Baltic Proper, rapidly extended to the central Baltic Proper and the Gulf of Finland, and peaked in the mid-July with values up to 10 mg l−1 (fresh weight). In late July, bloom vanished in most areas.During single transects, or for the whole summer, the variability in Chla concentrations was explained more by PC fluorescence than by Chla fluorescence. Thus, filamentous cyanobacteria dominated the overall variability in phytoplankton biomass. Consequently, we show that during the cyanobacterial blooms, the estimation of Chla concentration using only Chla in vivo fluorescence is not applicable, but PC in vivo fluorescence is required as a predictor as well.  相似文献
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