关键词: 16S rRNA Aquatic ecological assessment Baiyangdian lake Benthic bacterial community Ecological restoration

来  源:   DOI:10.1016/j.ese.2024.100451   PDF(Pubmed)

Abstract:
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.
摘要:
在高度污染的浅水湖泊中进行了密集的生态干预,以改善其环境并恢复其生态系统。然而,某些治疗方法,例如疏浚污染的沉积物和放养鱼类,会影响水生社区,包括底栖动物和鱼类。这些影响可以改变水生群落的组成和特征,这使得基于社区的生态评估具有挑战性。在这里,我们开发了一种基于细菌的生物完整性指数(IBI),该指数可以通过最少的人工干预清楚地表明水生生态系统的恢复。在3年的密集生态干预措施中,我们将此方法应用于恢复的浅水湖泊。干预措施使沉积物中的养分和重金属分别减少了27.1%和16.7%,而由于大型植物的增殖,总有机碳(TOC)增加了8.0%。此外,随着生态系统的改善,与硫相关的代谢途径的丰度降低了10.5%。基于细菌的IBI评分,这是根据多样性计算的,composition,和底栖细菌群落的功能,从2018年的0.62增加到2021年的0.81。我们的研究不仅为密集的人工干预下的水生态评估提供了一种适用的方法,而且将IBI的应用扩展到复杂的应用场景。例如具有明显不同水生群落的生态系统以及不同盆地之间的比较。
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