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41.
本文报导了我国首次南极洲和南大洋考察队,在南设得兰群岛和比斯科群岛及其附近系列的浮游多毛类动物8种,隶5属4科,有4种是南设得兰群岛首次报告,两种为南极特有种,对每种的分类异名、形态及地理分布均有描述.  相似文献   
42.
饵料、温度和盐度对两种海洋桡足类摄食与排粪的影响   总被引:1,自引:0,他引:1  
中华哲水蚤是中国近海典型的浮游桡足类,猛水蚤是青岛胶州湾和汇泉湾常见底栖桡足类,研究2种海洋桡足类的摄食和排粪规律可为大量培养桡足类提供最佳条件。论文研究了在6种不同饵料(球等鞭金藻、亚心形扁藻、小球藻、绿色巴夫藻、三角褐指藻、小新月菱形藻)的条件下,温度和盐度对中华哲水蚤和猛水蚤摄食和排粪的影响。温度和盐度对2种桡足类摄食和排粪的影响具有种间差异性。中华哲水蚤在15℃的摄食率、滤水率和排粪率高于在20和25℃的摄食率、滤水率和排粪率。在15、20和25℃3个温度范围内,猛水蚤的摄食率、滤水率和排粪率随温度升高而升高。在20~36盐度范围内,中华哲水蚤的摄食率、滤水率和排粪率随盐度的升高先升高后降低,在盐度为28时达到最大值,猛水蚤的摄食率、滤水率和排粪率随盐度升高而逐渐降低,猛水蚤摄食和排粪的最适盐度为20。温度和盐度实验均表明,在6种饵料中,亚心形扁藻和球等鞭金藻有利于中华哲水蚤的摄食,球等鞭金藻有利于猛水蚤的摄食,而小球藻对2种桡足类的摄食均不利。  相似文献   
43.
桡足类是海洋生态系统中初级生产者和较高营养级消费者之间的关键联系环节,掌握桡足类的现场食物组成对于准确评估海洋食物网中的营养关系和能量转移至关重要。本研究中,我们以中华哲水蚤这一在中国、日本以及韩国近海具有重要生态地位的大型哲水蚤属桡足类为研究对象,应用之前开发的基于PCR的克隆技术,通过分析中华哲水蚤所摄食生物的18S rDNA序列,研究了中华哲水蚤的现场食物组成。结果揭示了南黄海(Y19站位)和渤海(B49站位)中华哲水蚤食物组成的多样性。共检测出43个操作分类单元(OTUs),分别隶属于13个类群:硅藻(Bacillariophyta)、甲藻(Dinoflagellata)、硅鞭藻(Dictyochophyceae)、金藻(Chrysophyta)、Katablepharidophyta、浮生藻(Pelagophyceae)、无根虫(Apusozoa)、水螅水母(Hydrozoa)、栉水母(Ctenophora)、棘皮动物(Echinodermata)、被囊动物(Tunicata)、毛颚动物(Chaetognatha)以及海洋真菌。结果还表明,当发生藻类暴发时,中华哲水蚤可以摄食引发藻类暴发的藻种。当周围海域浮游植物的丰度相对较低时,中华哲水蚤可以选择摄食各种后生动物尤其是水螅水母和栉水母的卵、幼虫或者有机碎屑。我们的研究结果表明中华哲水蚤是一种杂食性桡足类,它对食物的选择依赖其生活海域中食物的可获得性。  相似文献   
44.
随着近海渔业资源的枯竭及近海养护政策的进一步实施,发展远洋渔业成为增加海水产品供给、改善居民膳食结构、实现我国渔业可持续发展的战略选择。文章回顾了新中国成立以来我国远洋渔业的发展历程:按照产量、产值、作业海域、远洋渔业产业结构等指标对其进行阶段划分,依次分为空白期(1949—1971年)、积极筹备期(1972—1984年)、起步期(1985—1990年)、快速发展期(1991—1997年)、调整期(1998—2006年)、优化期(2007年至今)6个阶段,并分析其阶段特征;发现国际渔业合作、远洋技术革新、近海渔业政策和政府补贴引导构成了远洋渔业不同阶段的演进动因。结合当前我国远洋渔业所处阶段的特征和国内外渔业环境,对我国远洋渔业的发展趋势进行预测,即我国远洋渔业发展趋势体现在如下三大转变,(1)由渔业资源依附型转变为科技资源驱动型;(2)资源消耗型转变成资源创造型,推进海外"蓝色粮仓"建设;(3)资源破坏型转变为资源养护型,树立负责任远洋渔业大国的形象。  相似文献   
45.
46.
于1992年9月—1994年5月先后对快山湾海域作了7个航次调查。由实验室培养试验和现场采样分析两种方法得出食物链一个营养级的13C富集度分别为(1.6±0.2)×10-3和1.7×10’,两者几乎一致。由7个季度月的现场采集样品的同位素分析结果表明,从处在食物网底部的浮游植物到最高级的肉食性鱼类之间13C差值平均为6.9×10-3,相当于5个营养级;并由各类生物的碳同位素数据分别确定了它们在该食物网中的营养位置,其结果与食性分析方法所得结果基本吻合。同位素示踪方法研究的结果还表明,崂山湾水体生物食物网中碳的来源主要是浮游植物碳。  相似文献   
47.
To investigate the seasonal variation and community structure of nano- and microzooplankton in Gyeonggi Bay of the Yellow Sea, the abundance and carbon biomass of nano- and microzooplankton were evaluated at 10-day intervals from January 1997 to December 1999. Four major groups of nano- and microzooplankton communities were classified: heterotrophic ciliates, heterotrophic dinoflagellates (HDF), heterotrophic nanoflagellates (HNF), and copepod nauplii. The total carbon biomass of nano- and microzooplankton ranged from 10.2 to 168.8 μg C L−1 and was highest during or after phytoplankton blooms. Nano- and microzooplankton communities were composed of heterotrophic ciliates (7.4–81.4%; average 41.7% of total biomass), HDF (0.1–70.3%; average 26.1% of total biomass), copepod nauplii (1.6–70.6%; average 20.7% of total biomass), and HNF (0.8–59.5%; average 11.5% of total biomass). The relative contribution of individual components in the nano- and microzooplankton communities appeared to differ by seasons. Ciliates accounted for the most major component of nano- and microzooplankton communities, except during summer and phytoplankton blooming seasons, whereas HDF were more dominant during the phytoplankton blooming seasons. The abundance and biomass of nano- and microzooplankton generally followed the seasonal dynamics of phytoplankton. The size and community distribution of nano- and microzooplankton was positively correlated with size-fractionated phytoplankton. The carbon requirement of microzooplankton ranged from 60 to 83% of daily primary production, and was relatively high when phytoplankton biomass was high. Therefore, our result suggests that the seasonal variation in the community and size composition of nano- and microzooplankton appears to be primarily governed by phytoplankton size and concentration as a food source, and their abundance may greatly affect trophic dynamics by controlling the seasonal abundance of phytoplankton.  相似文献   
48.
49.
The first CO2 exposure experiments on several species of pelagic copepods inhabiting surface and deep layers in the western North Pacific were conducted. Living organisms were collected from two layers between the surface and 1,500 m between latitudes of 11 and 44°N, and they were exposed aboard ship to various pCO2 up to about 98,000 μatm. Mortality of copepods from both shallow and deep layers in subarctic to subtropical regions increased with increasing pCO2 and exposure time. Deep-living copepods showed higher tolerance to pCO2 than shallow-living copepods. Furthermore, deep-living copepods from subarctic and transitional regions had higher tolerances than the subtropical copepods. The higher tolerances of the deep-living copepods from subarctic and transitional regions may be due to the adaptation to the natural pCO2 conditions in the subarctic ocean.  相似文献   
50.
Realistic modelling of marine ecosystems is necessary for improving our understanding of the ocean’s biogeochemical state and for predicting their response to anthropic perturbations. An essential step in achieving this task is the use of mechanistic formulations to describe the biogeochemical processes involved in the dynamics of marine pelagic ecosystems. This study provides a review on some modelling strategies for some of the key processes involved in the dynamics of phytoplankton. It encompasses the most advanced work in terms of mechanistic understanding and, therefore, mainly deals with photosynthesis (including photoacclimation and photoinhibition), respiration, and nutrient uptake (including multi-limitation of algal growth by nutrients). We highlight, that in many ecosystem models, phytoplankton processes are still described more or less empirically, mainly due to a lack of biochemical knowledge, or if a mechanistic formulation exists, the parameters are often difficult to assess experimentally. As a result of this investigation, a preliminary structure for a generic phytoplankton model is delivered in the last section of this paper. This model includes a mechanistic representation of photosynthesis/photoinhibition based on photosystem II status, as well as new formulations for photoacclimation and dissolved organic matter exudation processes. The model sensitivity analysis with regard to its parameters and a comparison with chemostat experimental data are presented in a companion paper [Baklouti, M., Faure, V., Pawlowski, L., Sciandra, A., 2006. Investigation and sensitivity analysis of a mechanistic phytoplankton model implemented in a new modular numerical tool (Eco3M) dedicated to biogeochemical modelling. Progress in Oceanography]. Finally, this new class of multi-element, multi-species phytoplankton models will provide the basis for future studies on ecosystem modelling.  相似文献   
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