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作 者:陈和平[1,2] 朱建林[2] 张德民[1] 祝翔宇 郑凯宏 王凯[1] CHEN He-Ping;ZHU Jian-Lin;ZHANG De-Min;ZHU Xiang-Yu;ZHENG Kai-Hong;WANG Kai(School of Marine Sciences,Ningbo University,Ningbo 315211,China;Faculty of Architectural,Civil Engineering and Environment,Ningbo University,Ningbo 315211,China;Ocean and Fishery Information Monitoring Center of Ningbo,Ningbo 315010,China;Xiangshan County Marine and Fisheries Bureau,Xiangshan 315700,China)
机构地区:[1]宁波大学海洋学院,宁波315211 [2]宁波大学建筑工程与环境学院,宁波315211 [3]宁波市象山港海洋环境监测站,宁波315010 [4]象山县海洋与渔业局,象山315700
出 处:《海洋与湖沼》2018年第6期1268-1278,共11页Oceanologia Et Limnologia Sinica
基 金:国家科技部863计划项目,2012AA092001号;宁波市富民项目,2017C10045号.
摘 要:港湾水域生态系统易受到人类活动的影响,而浮游细菌是维持海洋生态系统平衡和稳定的重要组成部分,其分布模式和动态变化可以反映人为活动对港湾生态系统的影响程度。本研究以宁波象山港这一受人类活动影响较大的代表性港湾为对象,研究了其夏季表层浮游细菌群落的空间分布特征及影响因子。结果表明,象山港各海区的浮游细菌α-多样性及均匀度总体上无显著差异。浮游细菌群落结构基本按海区聚类,海区间浮游细菌群落结构差异显著;分析相隔15天的两个航次的样品后发现,每个海区的浮游细菌群落结构均呈明显的时间演替。盐度、温度及营养盐是影响浮游细菌群落结构的主要环境因子。四个分别来自聚球藻属(Synechococcus)、OCS155、SAR11及α-变形菌纲的可操作分类单元(operationaltaxonomicunits,OTUs)是造成海区间细菌群落差异的主要贡献类群。部分海区中,两个航次的样品存在相似功能潜力的标志性类群,可能是浮游细菌对海区水质长期响应的结果。本研究初步揭示了象山港夏季表层浮游细菌群落分布及其对港湾环境变化的响应模式,为评估港湾环境扰动的微生态效应提供了基础数据。A bay ecosystem is highly susceptible to human activities, in which bacterioplankton play an important role in maintaining the balance and stability of the ecosystem. The distribution pattern and dynamic changes of bacterioplankton reflects the extent of human activities affecting the bay ecosystem. We conducted two surveys in July 2013 in the Xiangshan Bay, Ningbo, Zhejiang, China. It is a ~55 km long and ~5 km wide narrow bay wide and a typical bay under heavy anthropogenic impacts. We studied the spatial distribution characteristics and the driving factors of bacterioplankton communities in the surface waters in summer. The results show that there was no significant difference in the α-diversity and the evenness of planktonic bacteria in four main sectors of the bay. The bacterioplankton community structures were clustered generally in the bay sectors whose community structures were significantly different from each other. According to the samples of the two cruises in a 15-day interval, the bacterioplankton community structure in each sector showed a significant temporal succession. The salinity, temperature, and nutrients were the main environmental factors shaping the community structure. Four OTUs(operational taxonomic units) affiliated to Synechococcus, OCS155, SAR11, and Alphaproteobacteria were the main contributing taxa to the variation in community structure across the bay. In certain areas, discriminatory taxa of similar functional potentials were discovered, reflecting probably the long-term effects of local water quality. Therefore, the spatial distribution of bacterioplankton community in the surface waters of Xiangshan Bay in summer 2013 was preliminarily revealed in response to the environmental changes, providing basic data for assessing the micro-ecological effects of environmental disturbances in bay ecosystems.
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