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应用生态学报 ›› 2009, Vol. 20 ›› Issue (10): 2468-2474.

• 研究报告 • 上一篇    下一篇

胶州湾叶绿素a浓度及浮游植物的粒级组成

潘胜军1,2;沈志良1**   

  1. 1中国科学院海洋研究所海洋生态与环境科学重点实验室, 山东青岛 266071;2中国科学院研究生院, 北京 100049
  • 出版日期:2009-10-19 发布日期:2009-10-19

Chlorophyll-a concentration and phytoplankton size-fractionated composition in Jiaozhou Bay

PAN Sheng-jun1,2|SHEN Zhi-liang1   

  1. 1Key Laboratory of |Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, Shandong, China|2Graduate University of Chinese Academy of Sciences, Beijing 100049, China
  • Online:2009-10-19 Published:2009-10-19

摘要: 2008年2、5、8和11月对胶州湾及邻近水域中表层叶绿素a浓度和浮游植物粒级组成进行了调查.结果表明:胶州湾内和湾外表层叶绿素a年平均浓度分别为4.90和2.03 mg·m-3;叶绿素a浓度的平面分布呈现自东北部及近岸向中部、南部及湾外递减的趋势;叶绿素a浓度季节变化明显,冬季和夏季浓度较高,春季次之,呈现温带海域双峰型的变化趋势.胶州湾浮游植物粒级组成以微型浮游植物为主,平均占叶绿素a总量的60.9%,其次是小型浮游植物,超微型浮游植物所占比例最低,与我国近海浮游植物粒级组成基本一致.与历史资料相比,微型浮游植物所占比例有所增加,超微型浮游植物所占比例降低.

关键词: 叶绿素a, 浮游植物, 粒级组成, 胶州湾, 花生, 盐胁迫, 耐盐指标, 隶属函数, 聚类分析

Abstract: An investigation was made on the chlorophyll-a (Chla) concentration and phytoplankton size-fractionated composition in Jiaozhou Bay and its adjacent waters in February, May, August, and November 2008. The average annual Chla concentrations inside and outside the Bay was 4.90 mg·m-3 and 2.03 mg·m-3, respectively. The Chla concentration presented a decreasing trend from the northeast and near-shore to the central, south, and outside of the Bay, and had an obvious double-peak seasonal variation, being higher in summer and winter. The phytoplankton in the Bay was dominated by nanophytoplankton, accounting for 60.9% of the total Chla concentration, followed by microphytoplankton, and picophytoplankton, which was consistent with the phytoplankton size-fractionated composition in coastal waters of China. Comparing with historical data, the proportion of nanophytoplankton in the Bay had some increase, while that of picophytoplankton decreased to some extent.

Key words: Chla, phytoplankton, size-fractionated composition, Jiaozhou Bay, peanut, salinity stress, salinity tolerance index, membership function, cluster analysis.