A bacteria-based index of biotic integrity indicates aquatic ecosystem restoration  

作　　者：Qi Liu Senlu Yin Yujun Yi 

机构地区：[1]School of Environment,Beijing Normal University,Beijing 100875,China [2]State Key Laboratory of Water Environment Simulation and Pollution Control,Beijing Normal University,Beijing 100875,China

出　　处：《Environmental Science and Ecotechnology》2024年第6期178-190,共13页环境科学与生态技术（英文）

基　　金：National Science Fund for Distinguished Young Scholars(52025092);Innovation Research Group Project of the National Science Foundation of China(52221003);Joint Funds of the National Natural Science Foundation of China(U2243236).

摘　　要：Intensive ecological interventions have been carried out in highly polluted shallow lakes to improve their environments and restore their ecosystems.However,certain treatments,such as dredging polluted sediment and stocking fish,can impact the aquatic communities,including benthos and fishes.These impacts can alter the composition and characteristics of aquatic communities,which makes community-based ecological assessments challenging.Here we develop a bacteria-based index of biotic integrity(IBI)that can clearly indicate the restoration of aquatic ecosystems with minimal artificial interventions.We applied this method to a restored shallow lake during 3-year intensive ecological interventions.The interventions reduced nutrients and heavy metals by 27.1%and 16.7%in the sediment,while the total organic carbon(TOC)increased by 8.0%due to the proliferation of macrophytes.Additionally,the abundance of sulfur-related metabolic pathways decreased by 10.5%as the responses to improved ecosystem.The score of bacteria-based IBI,which is calculated based on the diversity,composition,and function of benthic bacterial communities,increased from 0.62 in 2018 to 0.81 in 2021.Our study not only provides an applicable method for aquatic ecological assessment under intensive artificial interventions but also extends the application of IBI to complex application scenarios,such as ecosystems with significantly different aquatic communities and comparisons between different basins.

关 键 词：Baiyangdian lake 16S rRNA Benthic bacterial community Ecological restoration Aquatic ecological assessment 

分 类 号：X703[环境科学与工程—环境工程]