欢迎访问《应用生态学报》官方网站,今天是 分享到:

应用生态学报 ›› 2003, Vol. ›› Issue (7): 1127-1130.

• 研究论文 • 上一篇    下一篇

赤潮过程浮游植物与营养物质时间变化率研究

丘耀文1, 朱良生1, 李锦蓉2, 梁松2, 齐雨藻3   

  1. 1. 中国科学院南海海洋研究所, 广州 501301;
    2. 国家海洋局南海分局, 广州 510300;
    3. 暨南大学水生生物研究所, 广州 510632
  • 收稿日期:2002-12-18 修回日期:2003-02-04 出版日期:2003-07-15
  • 通讯作者: 丘耀文,男,1965年生,副研究员,在职博士,主要从事海洋生态环境研究,发表论文22篇.E-mail:yqiu@scsio.ac.cn.
  • 基金资助:
    国家重点基础研究发展规划项目(2001CB409706);中国科学院大亚湾海洋生物实验开放站基金(S200210);国家自然科学基金重大资助项目(397911003).

Temporal dynamics of phytoplankton and nutrients during red tides

QIU Yaowen1, ZHU Liangsheng1, LI Jinrong2, LIANG Song2, QI Yuzao3   

  1. 1. South China Sea Institute of Oceanology, CAS, Guanzhou510301, China;
    2. South China Sea Branch, SOA, Guangzhou 510300, China;
    3. Institute of Hydrobiology, Jinan Univesity, Guangzhou 510632, China
  • Received:2002-12-18 Revised:2003-02-04 Online:2003-07-15

摘要: 利用2000年大亚湾澳头海域赤潮定点连续调查资料及其多年现场调查资料,采用灰色回归模型,综合分析赤潮发生过程水体中浮游植物细胞密度与营养物质(NO3-、NH4+、PO43-、SiO32-、Fe)的时间变化率关系,分析了叶绿素a含量与浮游植物细胞密度相互关系.结果表明,预测值与实测基值本一致,复相关系数范围在0.51~0.83.当水体叶绿素浓度为5.8μg·dm-3,预示可能发生赤潮.通过采样分析水体叶绿素a含量或利用水色卫星遥感资料反演水体叶绿素浓度,计算浮游植物细胞密度,为赤潮的预测预报提供简便有效的方法.此外,本水域初级生产力由磷控制

Abstract: The relationships between temporal dynamics of phytoplankton density and nutrients (NO3-,NH4+,PO43-,SiO32-,Fe) contents in the water body at Aotou waters of Daya Bay during red tide were comprehensively analysed based on the fixed position investigation of red tide in the summer of 2000 and the several years investigation data by using grey linear regression model. The relationships between phytoplankton cell density and chlorophyll a content were also analysed. The results showed that the predicted values were well consistent with the measurement values, and their correlation coefficients were between 0.51~0.83. Red tide might break out if chlorophyll a contents in water body were larger than 5.8 μg·dm-3. The study could provide a simple effective method to forecast red tide by sampling water samples to analyse chlorophyll a concentration,or using Sea WiFS data,and then,to calculating phytoplankton density. In addition, the primary productivity of the water areas was controlled by phosphorus.

中图分类号: