首页> 外文期刊>Journal of Environmental Sciences >Exploration of relationships between phytoplankton biomass and related environmental variables using multivariate statistic analysis in a eutrophic shallow lake: A 5-year study
【24h】

Exploration of relationships between phytoplankton biomass and related environmental variables using multivariate statistic analysis in a eutrophic shallow lake: A 5-year study

机译:富营养化浅湖中浮游植物生物量与相关环境变量之间关系的多元统计分析:一项为期5年的研究

获取原文
获取原文并翻译 | 示例
       

摘要

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.
机译:了解浮游植物模式变化的过程对于改善水质和管理决策尤其有用。但是,鉴于浮游植物生物量和相关环境变量的时空高度异质性,通常很难说明它们之间的相互作用。为了阐明它们之间的关系,在富营养化的浅湖太湖中,使用季节性周期内的多元统计分析对湖中水质的生物和非生物参数的相对长期数据集进行了分析。结果表明,在大多数季节(即冬季,春季和夏季的温度;春季,夏季和秋季的TP)中,水温和总磷(TP)在浮游植物动态中起主导作用。在春季,夏季和秋季,化学需氧量(COD)和生物需氧量(BOD)与浮游植物生物量呈显着正相关。然而,在浮游植物生物量和氮之间发现了复杂的相互作用,考虑到春季和秋季之间存在显着的正相关关系,而在夏季则相反。作为捕食因素,鉴于季节之间的负相关关系,浮游动物在夏季对浮游植物的生物量产生了显着的放牧压力。鉴于在浮游植物生物量与pH,反式(水的透明度)和溶解氧之间存在着显着的关系,因此在夏季和秋季确定了浮游植物发育的重要反馈作用。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周期性高度敏感,从而增进了对生物和非生物变量对浮游植物变异性的不同作用的认识,从而促进了富营养化湖泊的管理方法。

著录项

相似文献

  • 外文文献
  • 中文文献
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号