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长江口低盐淡水区潮间带鱼类群落结构季节及半月相变化

张衡1,2;何文珊1;童春富1;陆健健1   

  1. 1华东师范大学河口海岸学国家重点实验室, 上海 200062;2
    中国水产科学研究院渔业资源遥感信息技术重点开放实验室, 上海 200090
  • 收稿日期:2007-08-20 修回日期:1900-01-01 出版日期:2008-05-20 发布日期:2008-05-20

Seasonal and semi-lunar changes in fish community structure in low salinity intertidal area of Yangtze estuary.

ZHANG Heng1,2;HE Wen-shan1;TONG Chun-fu1;LU Jian-jian1   

  1. 1State Key Laboratory of Estuarine and Coastal Research, East China
    Normal University, Shanghai 200062, China; 2Key Laboratory of Fisheries Resources Remote Sensing and Information Technology, Chinese Academy of Fishery Sciences, Shanghai 200090, China
    .
  • Received:2007-08-20 Revised:1900-01-01 Online:2008-05-20 Published:2008-05-20

摘要: 基于2006年春(5月)、夏(7月)、秋(9月下旬)和冬季(2月)对长江口低盐淡水区水域进行的潮间带鱼类调查结果,分析了鱼类种类及丰度的半月相及其季节变化. 结果表明:长江口低盐淡水区水域潮间带鱼类共有53种;其中鲤科鱼类最多,虾虎鱼科次之,其他科较少. 2顶网具渔获物的鱼类种类和丰度均以春、夏、秋季较高,冬季最低.各个季节的平均种类数和平均丰度均为小潮期小于大潮期. Shannon-Weaver指数(H′)在一个潮周期内的波动幅度较大,且小潮期H′值略低于大潮期. 对鱼类种类丰度进行聚类分析发现,冬季鱼类聚成一组,春、夏和秋季聚成一组. 从整年的情况来看,潮间带鱼类的丰度变化与水温的相关性最高;与潮高的相关性次之;而与盐度的相关性最小.

关键词: 狼毒, 土壤真菌多样性, 地统计学, 高通量测序, 空间变异, GIS

Abstract: Based on the survey of the fishes in low salinity intertidal area of the Yangtze estuary from spring (May) 2006 to winter (February) 2007, the seasonal and semilunar changes of fish species and abundances were analyzed. A total of 53 fish species were collected, most of which belonged to Cyprinidae, followed by Gobiidae, and few of other families. The fish species and average abundance were higher in spring, summer, and autumn than in winter and lower in low tides than in high tides in four seasons. Shannon-Weaver (H′) value had a greater fluctuation in a tidal cycle, and was appreciably lower in low tides than in high tides. The fish species and abundance were clustered into two groups, i.e., that of winter, and of the other seasons. As for the whole year, the abundance had the highest positive correlation with water temperature, then with tide height, and lowest with water salinity.

Key words: Stellera chamaejasme, soil fungal diversity, geostatistics, high-throughput sequencing, spatial heterogeneity, GIS