淀山湖浮游藻类群落的早期增长

对2004～2009年淀山湖浮游藻类群落生物量以叶绿素a（Chla）表示]随时间的变化进行了数学模拟.模拟结果表明,Logistic增长模型能够很好地描述淀山湖浮游藻类群落春季和夏季的早期增长.一般说来,淀山湖春季以硅藻和绿藻为主的浮游藻类群落于2月下旬进入指数级增长,到3月上旬浮游藻类密度已经达到始盛点的2倍,浮游...

Early Growth of Phytoplankton Community in Dianshan Lake

Seasonal variation of phytoplankton community biomass (Chla) in Dianshan Lake was simulated based on data of 2004-2009. The result showed that early growths of the phytoplankton community in spring and summer seasons could be well described by the Logistic growth model. General speaking, phytoplankton community dominated by diatom and green algae may enter its exponential phase in the late February, doubling its density within 18 days, and reaching its maximum growth rate of 29.4 microg x (L x month) (-1) in the middle of March, blooming in June. Phytoplankton community dominated by blue green algae may enter its exponential phase in the middle June, doubling its density within 26 days, and reaching its maximum growth rate of 22.8 microg x (L x month) (-1) in the middle of July, blooming during August-September. The general pattern of early growth of phytoplankton community may offer sound information for early warning and prevention of algal bloom.