摘要
于2009年4月~2010年1月测定了沙湖浮游植物的密度、生物量和叶绿素a含量,测定了水温(WT)、pH、透明度(SD)、总氮(TN)、总磷(TP)、氨氮(NH4+-N)、硝态氮(NO3--N)、亚硝态氮(NO2--N)、高锰酸盐指数、BOD5等水环境因子指标,对沙湖浮游植物密度、生物量、叶绿素a含量与水环境因子进行相关分析、多元逐步回归分析和典范对应分析.结果表明,沙湖浮游植物密度、生物量、叶绿素a含量与WT、TN、TP、高锰酸盐指数、BOD5之间显著正相关,与SD之间呈显著负相关.浮游植物密度、叶绿素a含量与WT、SD、TN、TP、高锰酸盐指数、BOD5之间有显著的线性回归关系,影响沙湖浮游植物密度的主要水环境因子依次为WT、高锰酸盐指数、SD、BOD5、TP、TN,影响沙湖叶绿素a含量的主要水环境因子依次为高锰酸盐指数、WT、SD、TP、TN、BOD5;浮游植物生物量与WT、SD、TN、TP、高锰酸盐指数之间有显著的线性回归关系,影响沙湖浮游植物生物量的主要水环境因子依次为WT、TP、高锰酸盐指数、SD、TN.浮游植物与水环境因子的CCA排序结果将16种浮游植物分为3组,呈现明显的季节分布特征,SD、高锰酸盐指数、WT、TN、TP是影响沙湖浮游植物群落动态分布的主要水环境因子.
Analysis approaches of correlation, multiple stepwise regression and canonical correspondence analysis were employed between phytoplankton and water environmental factors in ShaHu Lake based on the data from Apr. 2009 to Jan. 2010. The results showed that the correlation between phytoplankton density, phytoplankton biomass, ehlorophyll-a and water temperature (WT) , total nitrogen (TN) , total phosphorus(TP) , potassium permanganate index,5 days biochemical oxygen demand( BODs ) was positive, and phytoplankton density, phytoplankton biomass, chlorophyll-a and Secehi-depth (SD) was negatively correlated. Followed by the importance of environmental factors which affected phytoplankton density in Shahu Lake ranged as follows: WT, potassium permanganate index, SD, BODs, TP, TN. Those affected phytoplankton biomass ranged as follows: WT,TP, potassium permanganate index,SD,TN. Those affected on ehlorophyll-a ranged as follows : potassium permanganate index, WT, SD, TP, TN, BOD5. CCA result showed that 16 species of phytoplankton were divided into 3 groups which had the obvious seasonal distribution characteristics in Shahu Lake. SD, potassium permanganate index,WT, TN, TP were the main water environmental factors correlated with the distribution of phytoplankton community of Shahu Lake.
出处
《环境科学》
EI
CAS
CSCD
北大核心
2012年第7期2265-2271,共7页
Environmental Science
基金
宁夏自然科学基金项目(NZ0829)
关键词
沙湖
浮游植物密度
浮游植物生物量
叶绿素A
相关分析
多元逐步回归分析
典范对应分析
Shahu Lake
phytoplankton density
phytoplankton biomass
chlorophyll-a
correlation analysis
multiple stepwiseregression analysis
canonical correspondence analysis