Beijing Key Laboratory of Urban Hydrological Cycle and Sponge City Technology, College of Water Sciences, Beijing Normal University, Beijing, 100875, China; Beijing Water Science and Technology Institute, Beijing, 1000048, China.
Beijing Key Laboratory of Urban Hydrological Cycle and Sponge City Technology, College of Water Sciences, Beijing Normal University, Beijing, 100875, China.
Environ Res. 2022 Sep;212(Pt D):113474. doi: 10.1016/j.envres.2022.113474. Epub 2022 May 17.
Healthy aquatic ecosystems can offer basic ecological services for the sustainable development of humans and society. Water quality greatly influences the macroinvertebrate community in aquatic ecosystems and can alter the aquatic ecosystem's health status. However, the quantitative relationship between macroinvertebrate community and water quality factors in rivers remains unclear, particularly in urban rivers, which are strongly affected by human activities. Therefore, a new framework for the quantitative analysis between macroinvertebrate community and key water quality driving factors was developed in the study, meanwhile, the aquatic ecosystem health conditions were evaluated and validated by different methods. The framework was applied to a typical urban river, the North Canal River, which is regarded as the "mother river" of Beijing. Combined with the redundancy analysis (RDA) and the threshold indicator taxa analysis (TITAN), the water quality driving factors and their indicator species were identified and the corresponding response threshold was determined. Based on the benthic index of biotic integrity (B-IBI), the multi-metric rapid bioassessment method, and the biological monitoring working party (BMWP) score, the aquatic ecosystem health condition in the basin was comprehensively evaluated. The results show that fluoride, biochemical oxygen demand, ammonia-nitrogen and total phosphorus were the key water quality driving factors influencing the community structure of macroinvertebrates. Four indicator species of ammonia-nitrogen were identified by the TITAN method with a threshold range of 1.09-6.94 mg L, and three indicator species of total phosphorus were identified with a threshold range of 0.48-1.27 mg L. According to the results of the aquatic ecosystem health assessment, the river ecosystem was generally unhealthy and the upstream was better than downstream; the health condition in the mountainous areas of Changping district was the best, while that in Chaoyang district and the central city area was the worst. The framework could provide a strong basis for ecological restoration and pollution control of the urban rivers and become an important tool for the rehabilitation of aquatic ecosystems.
健康的水生态系统可为人类和社会的可持续发展提供基本的生态服务。水质对水生态系统中的大型无脊椎动物群落有很大的影响，并能改变水生态系统的健康状况。然而，河流中大型无脊椎动物群落与水质因子之间的定量关系尚不清楚，特别是在受人类活动强烈影响的城市河流中。因此，本研究提出了一种新的框架，用于定量分析大型无脊椎动物群落与关键水质驱动因子之间的关系，同时采用不同的方法评估和验证水生态系统的健康状况。该框架应用于一条典型的城市河流——北运河，它被视为北京的“母亲河”。通过冗余分析（RDA）和阈值指示种分析（TITAN），确定了水质驱动因子及其指示种，并确定了相应的响应阈值。基于底栖生物完整性指数（B-IBI）、多指标快速生物评估方法和生物监测工作小组（BMPW）评分，对流域水生态系统的健康状况进行了综合评价。结果表明，氟化物、生化需氧量、氨氮和总磷是影响大型无脊椎动物群落结构的关键水质驱动因子。TITAN 方法确定了 4 种氨氮指示种，其阈值范围为 1.09-6.94mg/L，3 种总磷指示种，其阈值范围为 0.48-1.27mg/L。根据水生态系统健康评估结果，该河流生态系统总体不健康，上游优于下游；昌平山区的生态系统健康状况最好，而朝阳区和市中心地区的生态系统健康状况最差。该框架可为城市河流的生态恢复和污染控制提供有力依据，成为水生态系统修复的重要工具。
