基于细菌的生物完整性指数显示水生生态系统的恢复情况

IF 14 1区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Environmental Science and Ecotechnology Pub Date : 2024-07-07 DOI:10.1016/j.ese.2024.100451
{"title":"基于细菌的生物完整性指数显示水生生态系统的恢复情况","authors":"","doi":"10.1016/j.ese.2024.100451","DOIUrl":null,"url":null,"abstract":"<div><p>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.</p></div>","PeriodicalId":34434,"journal":{"name":"Environmental Science and Ecotechnology","volume":null,"pages":null},"PeriodicalIF":14.0000,"publicationDate":"2024-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666498424000656/pdfft?md5=79cc039b038d211fd19a83b3648beaf3&pid=1-s2.0-S2666498424000656-main.pdf","citationCount":"0","resultStr":"{\"title\":\"A bacteria-based index of biotic integrity indicates aquatic ecosystem restoration\",\"authors\":\"\",\"doi\":\"10.1016/j.ese.2024.100451\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>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.</p></div>\",\"PeriodicalId\":34434,\"journal\":{\"name\":\"Environmental Science and Ecotechnology\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":14.0000,\"publicationDate\":\"2024-07-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2666498424000656/pdfft?md5=79cc039b038d211fd19a83b3648beaf3&pid=1-s2.0-S2666498424000656-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Environmental Science and Ecotechnology\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2666498424000656\",\"RegionNum\":1,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Environmental Science and Ecotechnology","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666498424000656","RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0

摘要

在受到严重污染的浅水湖泊中开展了密集的生态干预活动,以改善其环境并恢复其生态系统。然而,某些处理方法,如疏浚污染沉积物和放养鱼类,会对包括底栖生物和鱼类在内的水生群落产生影响。这些影响会改变水生群落的组成和特征,从而使基于群落的生态评估变得具有挑战性。在此,我们开发了一种基于细菌的生物完整性指数(IBI),该指数可以清楚地表明在人工干预最少的情况下水生生态系统的恢复情况。在为期 3 年的强化生态干预期间,我们将此方法应用于一个已恢复的浅水湖泊。干预措施使沉积物中的营养物质和重金属分别减少了 27.1%和 16.7%,而总有机碳(TOC)则因大型植物的大量繁殖而增加了 8.0%。此外,由于生态系统的改善,硫相关代谢途径的丰度降低了 10.5%。根据底栖细菌群落的多样性、组成和功能计算得出的基于细菌的 IBI 分数从 2018 年的 0.62 上升到 2021 年的 0.81。我们的研究不仅为密集人工干预下的水生生态评估提供了一种适用的方法,还将 IBI 的应用扩展到了复杂的应用场景,如具有显著不同水生群落的生态系统和不同流域之间的比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

摘要图片

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
A bacteria-based index of biotic integrity indicates aquatic ecosystem restoration

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.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
20.40
自引率
6.30%
发文量
11
审稿时长
18 days
期刊介绍: Environmental Science & Ecotechnology (ESE) is an international, open-access journal publishing original research in environmental science, engineering, ecotechnology, and related fields. Authors publishing in ESE can immediately, permanently, and freely share their work. They have license options and retain copyright. Published by Elsevier, ESE is co-organized by the Chinese Society for Environmental Sciences, Harbin Institute of Technology, and the Chinese Research Academy of Environmental Sciences, under the supervision of the China Association for Science and Technology.
期刊最新文献
Trusted artificial intelligence for environmental assessments: An explainable high-precision model with multi-source big data Hydrodynamic and trophic variations reshape macroinvertebrate food webs in urban ecosystems Wintertime ozone surges: The critical role of alkene ozonolysis Stability of sedimentary organic matter: Insights from molecular and redox analyses Characterizing PFASs in aquatic ecosystems with 3D hydrodynamic and water quality models
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1