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Spatio-temporal distribution of net-collected phytoplankton community and its response to marine exploitation in Xiangshan Bay

ISSN号：0254-4059
期刊名称：《中国海洋湖沼学报：英文版》
时间：0
分类：Q178.531[生物学—水生生物学;生物学—普通生物学] TV697.25[水利工程—水利水电工程]
作者机构：[1]State Key Laboratory of Satellite Ocean Environment Dynamics, SecondInstitute of Oceanography, State Oceanic Administration, Hangzhou 310012, China, [2]Laboratory of Marine Ecosystem Biogeochemistry, Second Institute of Oceanography, State Oceanic Administration, Hangzhou 310012, China
相关基金：Supported by the National Basic Research Program of China （973 Program）（No. 2010CB428903）, the National Marine Public Welfare Research Project of China （Nos. 201305043-3, 201305009）, the Natural Science Foundation of Zhejiang Province, China （No. Y5110131）, the National Natural Science Foundation of China （Nos. 41176142, 41206103）, and the Funds for Key Innovative Team on Marine Aquaculture of Zhejiang Province, China （No. 2010R50025）

作者：江志兵[1,2], 朱旭宇[1], 高瑜[1], 陈全震[1], 曾江宁[1,2], 朱根海[1]

关键词：浮游植物群落, 时空分布, 海洋开发, 收集, 象山港, 季节性差异, 海洋资源开发, 物理化学参数, eutrophication, phytoplankton, thermal discharge, Xiangshan Bay

中文摘要：

为了探索浮游植物社区的空间时间的分发并且评估海洋的资源利用，网镇定的浮游植物和物理化学药品的参数的联合效果，在 2010 的四个季节期间在 Xiangshan 海湾被调查。八个数， 97 个类，和 310 种类的一个总数被发现，包括 232 硅藻种类， 45 dinoflagellate 种和 33 另外的 taxa。浮游植物丰富介绍了一重要(P < 0.001 ) 有 60.66r 的一般水准的季节的差别叶的 appli 牼 ? 牼吗？？

英文摘要：

To explore the spatial-temporal distribution of the phytoplankton community and evaluate the combined effects of marine resource exploitation, net-collected phytoplankton and physical-chemical parameters were investigated in the Xiangshan Bay during the four seasons of 2010. A total of eight phyla, 97 genera, and 310 species were found, including 232 diatom species, 45 dinoflageUate species and 33 other taxa. The phytoplankton abundances presented a significant （P〈0.001） seasonal difference with the average of 60.66x104 cells/m3. Diatoms （mainly consisting of Coscinodiscus jonesianus, Cerataulina pelagica, Skeletonema costatum, and genus Chaetoceros） dominated the phytoplankton assemblage in all seasons. We found great spatio-temporal variation in community composition based on the multidimensional scaling and similarity analysis. Canonical correspondence analysis show that temperature, nutrition, illumination, and salinity were the main variables associated with microalgal assemblage. Compared with the previous studies, an increase in phytoplankton abundance and change in the dominant species coincided with increased exploitation activities in this bay （e.g. operation of coastal power plants, intensive mariculture, tidal fiat reclamation, and industrial and agricultural development）. The present findings suggest that the government should exercise caution when deciding upon developmental patterns in the sea-related economy.

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