Human-induced N-P imbalances will aggravate GHG emissions from lakes and reservoirs under persisting eutrophication

IF 11.4 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL Water Research Pub Date : 2025-02-02 DOI:10.1016/j.watres.2025.123240
Wei Yu, Fali Liu, Xianglan Jiao, Pingping Fan, Haiquan Yang, Yongmei Zhang, Jie Li, Jingan Chen, Xuede Li
{"title":"Human-induced N-P imbalances will aggravate GHG emissions from lakes and reservoirs under persisting eutrophication","authors":"Wei Yu, Fali Liu, Xianglan Jiao, Pingping Fan, Haiquan Yang, Yongmei Zhang, Jie Li, Jingan Chen, Xuede Li","doi":"10.1016/j.watres.2025.123240","DOIUrl":null,"url":null,"abstract":"Lakes and reservoirs are hotspots for emissions of atmospheric greenhouse gas (GHG) such as CO<sub>2</sub>, CH<sub>4</sub>, and N<sub>2</sub>O, and their nutrient levels and stoichiometric status are significant drivers of GHG emissions. In recent decades, human-induced unbalanced inputs of nitrogen (N) and phosphorus (P) have enhanced the P-limiting state of inland lake and reservoir systems. However, it remains unclear whether this state transition involves global changes in nutrient-limiting systems and GHG emissions from lakes and reservoirs. In this study, a comprehensive model was developed to examine the relationship between GHG fluxes and total N (TN) and total P (TP) to predict future human-induced N over-enrichment and its impact on global GHG emissions. Our results show that excess N inputs amplified GHG emissions, with future water eutrophication (1.2×) projected to increase CO<sub>2</sub> emissions (384.66 Tg·y<sup>−1</sup>), CH<sub>4</sub> (7.38 Tg·y<sup>−1</sup>), and N<sub>2</sub>O (0.23 Tg·y<sup>−1</sup>) from lakes and reservoirs by 49%, 12%, and 25%, respectively, amounting to approximately US$0.13 trillion ($0.08–6.91 trillion, 2015$) in social costs. A future 50% increase in N: P will increase the relative social cost of carbon by 15% compared to future 1.2× eutrophication levels. Given the social costs and benefits of reducing N and P pollutants in water individually and in synchronization, future long-term strategies for managing eutrophication in lakes and reservoirs need to emphasize balanced control of N and P.","PeriodicalId":443,"journal":{"name":"Water Research","volume":"29 1","pages":""},"PeriodicalIF":11.4000,"publicationDate":"2025-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Water Research","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.1016/j.watres.2025.123240","RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ENVIRONMENTAL","Score":null,"Total":0}
引用次数: 0

Abstract

Lakes and reservoirs are hotspots for emissions of atmospheric greenhouse gas (GHG) such as CO2, CH4, and N2O, and their nutrient levels and stoichiometric status are significant drivers of GHG emissions. In recent decades, human-induced unbalanced inputs of nitrogen (N) and phosphorus (P) have enhanced the P-limiting state of inland lake and reservoir systems. However, it remains unclear whether this state transition involves global changes in nutrient-limiting systems and GHG emissions from lakes and reservoirs. In this study, a comprehensive model was developed to examine the relationship between GHG fluxes and total N (TN) and total P (TP) to predict future human-induced N over-enrichment and its impact on global GHG emissions. Our results show that excess N inputs amplified GHG emissions, with future water eutrophication (1.2×) projected to increase CO2 emissions (384.66 Tg·y−1), CH4 (7.38 Tg·y−1), and N2O (0.23 Tg·y−1) from lakes and reservoirs by 49%, 12%, and 25%, respectively, amounting to approximately US$0.13 trillion ($0.08–6.91 trillion, 2015$) in social costs. A future 50% increase in N: P will increase the relative social cost of carbon by 15% compared to future 1.2× eutrophication levels. Given the social costs and benefits of reducing N and P pollutants in water individually and in synchronization, future long-term strategies for managing eutrophication in lakes and reservoirs need to emphasize balanced control of N and P.

Abstract Image

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
求助全文
约1分钟内获得全文 去求助
来源期刊
Water Research
Water Research 环境科学-工程:环境
CiteScore
20.80
自引率
9.40%
发文量
1307
审稿时长
38 days
期刊介绍: Water Research, along with its open access companion journal Water Research X, serves as a platform for publishing original research papers covering various aspects of the science and technology related to the anthropogenic water cycle, water quality, and its management worldwide. The audience targeted by the journal comprises biologists, chemical engineers, chemists, civil engineers, environmental engineers, limnologists, and microbiologists. The scope of the journal include: •Treatment processes for water and wastewaters (municipal, agricultural, industrial, and on-site treatment), including resource recovery and residuals management; •Urban hydrology including sewer systems, stormwater management, and green infrastructure; •Drinking water treatment and distribution; •Potable and non-potable water reuse; •Sanitation, public health, and risk assessment; •Anaerobic digestion, solid and hazardous waste management, including source characterization and the effects and control of leachates and gaseous emissions; •Contaminants (chemical, microbial, anthropogenic particles such as nanoparticles or microplastics) and related water quality sensing, monitoring, fate, and assessment; •Anthropogenic impacts on inland, tidal, coastal and urban waters, focusing on surface and ground waters, and point and non-point sources of pollution; •Environmental restoration, linked to surface water, groundwater and groundwater remediation; •Analysis of the interfaces between sediments and water, and between water and atmosphere, focusing specifically on anthropogenic impacts; •Mathematical modelling, systems analysis, machine learning, and beneficial use of big data related to the anthropogenic water cycle; •Socio-economic, policy, and regulations studies.
期刊最新文献
Unveiling the reaction chemistry of sulfoxides during water chlorination. Deciphering key traits and dissemination of antibiotic resistance genes and degradation genes in pharmaceutical wastewater receiving environments. Human-induced N-P imbalances will aggravate GHG emissions from lakes and reservoirs under persisting eutrophication Hydrochar-nanocomposite membrane combined hydrothermal pretreatment for nutrient upcycling from anaerobic digestate Accounting for model parameter uncertainty provides more robust projections of dissolved organic carbon dynamics to aid drinking water management
×
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