首页> 外文期刊>Journal of Pure & Applied Microbiology >Section Division of a Large River Main Stream Based on Bio-monitoring: A Case Study in the Dongjiang River, ChinaAU Wang, Ming Li, Bin Yang, Yang (yangyang@scies.org) Liu, Jing Qiao, Yongmin Li, Li
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Section Division of a Large River Main Stream Based on Bio-monitoring: A Case Study in the Dongjiang River, ChinaAU Wang, Ming Li, Bin Yang, Yang (yangyang@scies.org) Liu, Jing Qiao, Yongmin Li, Li

机译:Section Division of a Large River Main Stream Based on Bio-monitoring: A Case Study in the Dongjiang River, ChinaAU Wang, Ming Li, Bin Yang, Yang (yangyang@scies.org) Liu, Jing Qiao, Yongmin Li, Li

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摘要

The benthic diatom community and environmental factors were investigated in Dongjiang River, China. Section division of the main stream was then conducted by using diatoms based on these investigations. The value of bio-monitoring is also discussed. According to the benthic diatom and environmental factor data on 40 sites, the main stream was divided into 4 sections by using several analysis methods (clustering, multidimensional scaling (MDS), and self-organizing map (SOM)). The results of canonical correspondence analysis (CCA) showed the existence of a phosphorus restriction for the diatom community in the mid and downstream sections, while the distribution of diatom was mainly influenced by dissolved oxygen, pH, and geographical factors. A Biological Diatom Index (IBD) was also calculated, and the results showed that this type of section division meets the requirement of ecosystem health management in Dongjiang River.C1 Yang, Yang; Jinan Univ, Res Ctr Hydrobiol, Guangzhou 510632, Guangdong, Peoples R ChinaSC Environmental Sciences & Ecology; Marine & Freshwater Biology; Science & Technology - Other Topics; Mathematical & Computational Biology
机译:对东江底栖硅藻群落及环境因素进行了调查。然后,基于这些研究,使用硅藻进行主流的分段。还讨论了生物监测的价值。根据40个地点的底栖硅藻和环境因子数据,使用几种分析方法(聚类,多维标度(MDS)和自组织图(SOM))将主流分为4个部分。典范对应分析(CCA)结果表明,中下游部分硅藻群落存在磷限制,而硅藻的分布主要受溶解氧,pH和地理因素影响。并计算了生物硅藻指数(IBD),结果表明该断面类型符合东江生态系统健康管理的要求。暨南大学水生生物化学研究所,广东广州510632,中国人民科学环境科学与生态;海洋与淡水生物学;科学技术-其他主题;数学与计算生物学

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