Wang Xiao-long, Lu Yong-long, He Gui-zhen, Han Jing-yi, Wang Tie-yu
State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China.
J Environ Sci (China). 2007;19(8):920-7. doi: 10.1016/s1001-0742(07)60152-1.
Understanding the process of the changing phytoplankton patterns can be particularly useful in water quality improvement and management decisions. However, it is generally not easy to illustrate the interactions between phytoplankton biomass and related environmental variables given their high spatial and temporal heterogeneity. To elucidate relationships between them, in a eutrophic shallow lake, Taihu Lake, relative long-term data set of biotic and abiotic parameters of water quality in the lake were conducted using multivariate statistical analysis within seasonal periodicity. The results indicate that water temperature and total phosphorus (TP) played governing roles in phytoplankton dynamics in most seasons (i.e. temperature in winter, spring and summer; TP in spring, summer and autumn); COD (chemical oxygen demand) and BOD (biological oxygen demand) presented significant positive relationships with phytoplankton biomass in spring, summer and autumn. However, a complex interplay was found between phytoplankton biomass and nitrogen considering significant positive relationships occurring between them in spring and autumn, and conversely negative ones in summer. As the predatory factor, zooplankton presented significant grazing-pressure on phytoplankton biomass during summer in view of negative relationship between them in the season. Significant feedback effects of phytoplankton development were identified in summer and autumn in view that significant relationships were observed between phytoplankton biomass and pH, Trans (transparency of water) and DO. The results indicate that interactions between phytoplankton biomass and related environmental variables are highly sensitive to seasonal periodicity, which improves understanding of different roles of biotic and abiotic variables upon phytoplankton variability, and hence, advances management methods for eutrophic lakes.
了解浮游植物模式变化的过程对于水质改善和管理决策可能特别有用。然而,鉴于浮游植物生物量与相关环境变量具有高度的空间和时间异质性,通常很难阐明它们之间的相互作用。为了阐明它们之间的关系,在富营养化浅水湖泊太湖中,利用多变量统计分析,在季节性周期内对该湖水质的生物和非生物参数进行了相对长期的数据收集。结果表明,水温与总磷(TP)在大多数季节对浮游植物动态起着主导作用(即冬季、春季和夏季为温度;春季、夏季和秋季为总磷);化学需氧量(COD)和生化需氧量(BOD)在春季、夏季和秋季与浮游植物生物量呈显著正相关。然而,浮游植物生物量与氮之间存在复杂的相互作用,因为它们在春季和秋季呈显著正相关,而在夏季则相反呈负相关。作为捕食因素,浮游动物在夏季对浮游植物生物量表现出显著的捕食压力,因为它们在该季节呈负相关。鉴于浮游植物生物量与pH值、透明度(水的透明度)和溶解氧之间存在显著关系,在夏季和秋季发现了浮游植物发育的显著反馈效应。结果表明,浮游植物生物量与相关环境变量之间的相互作用对季节性周期高度敏感,这有助于加深对生物和非生物变量对浮游植物变异性不同作用的理解,从而改进富营养化湖泊的管理方法。