Inflow-modulated inputs of dissolved organic matter fuel carbon dioxide emissions from a large hyper-eutrophic lake

IF 11.4 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL
Mingrui Qian, Yongqiang Zhou, Lei Zhou, Yunlin Zhang, Yang Pu, Travis W. Drake, Thomas A. Davidson, Robert G.M. Spencer, Justin D. Brookes, Erik Jeppesen
{"title":"Inflow-modulated inputs of dissolved organic matter fuel carbon dioxide emissions from a large hyper-eutrophic lake","authors":"Mingrui Qian, Yongqiang Zhou, Lei Zhou, Yunlin Zhang, Yang Pu, Travis W. Drake, Thomas A. Davidson, Robert G.M. Spencer, Justin D. Brookes, Erik Jeppesen","doi":"10.1016/j.watres.2024.123082","DOIUrl":null,"url":null,"abstract":"Terrestrial dissolved organic matter (DOM) is potentially reactive and, upon entering lake ecosystems, can be readily degraded to low-molecular-weight organic matter and dissolved CO<sub>2</sub>. However, to date, there has been limited research on the links between long-term variation in the composition of DOM and CO<sub>2</sub> emissions from lakes. Lake Taihu is a large, shallow, and hyper-eutrophic lake where DOM composition is strongly influenced by inputs from the rivers draining cultivated and urbanized landscapes. This study aims to investigate the impact of water chemistry and DOM characteristics, modulated by inflow-discharge dynamics, on the variability of <em>p</em>CO<sub>2</sub> in Lake Taihu. Based on long-term seasonal observations from 2000 to 2022, we estimated the annual areal average CO<sub>2</sub> flux (<em>F</em>CO<sub>2</sub>) to be 470 ±107 gCO<sub>2</sub> m<sup>-2</sup> yr<sup>-1</sup> corresponding to a summed flux of 1.1 ± 0.3 TgCO<sub>2</sub> yr<sup>-1</sup> from the lake. Elevated levels of <em>F</em>CO<sub>2</sub> were found in 2004-2007, and across the dataset, the highest <em>F</em>CO<sub>2</sub> was often observed in February and the lowest in August, corresponding with higher algal uptake in summer. Northwestern inflowing riverine DOM, consisting of both soil leachate and rapidly degradable domestic wastewater along with the input of riverine CO<sub>2</sub> itself, explained the elevated <em>F</em>CO<sub>2</sub> in the northwestern lake regions. Ultra-high resolution mass spectrometry (FT-ICR MS) can resolve the composition of DOM at the molecular level, revealing that CO<sub>2</sub> concentrations vary with the relative abundance of terrestrially derived condensed aromatics. Incubation experiments further confirmed the link between the degradation of biologically labile DOM and the aerobic CO<sub>2</sub> production. We conclude that riverine organic matter inputs and subsequent degradation, modulated by inflow discharge, play a key role in shaping CO<sub>2</sub> emissions from Lake Taihu over the past two decades.","PeriodicalId":443,"journal":{"name":"Water Research","volume":"34 1","pages":""},"PeriodicalIF":11.4000,"publicationDate":"2024-12-31","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.2024.123082","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

Terrestrial dissolved organic matter (DOM) is potentially reactive and, upon entering lake ecosystems, can be readily degraded to low-molecular-weight organic matter and dissolved CO2. However, to date, there has been limited research on the links between long-term variation in the composition of DOM and CO2 emissions from lakes. Lake Taihu is a large, shallow, and hyper-eutrophic lake where DOM composition is strongly influenced by inputs from the rivers draining cultivated and urbanized landscapes. This study aims to investigate the impact of water chemistry and DOM characteristics, modulated by inflow-discharge dynamics, on the variability of pCO2 in Lake Taihu. Based on long-term seasonal observations from 2000 to 2022, we estimated the annual areal average CO2 flux (FCO2) to be 470 ±107 gCO2 m-2 yr-1 corresponding to a summed flux of 1.1 ± 0.3 TgCO2 yr-1 from the lake. Elevated levels of FCO2 were found in 2004-2007, and across the dataset, the highest FCO2 was often observed in February and the lowest in August, corresponding with higher algal uptake in summer. Northwestern inflowing riverine DOM, consisting of both soil leachate and rapidly degradable domestic wastewater along with the input of riverine CO2 itself, explained the elevated FCO2 in the northwestern lake regions. Ultra-high resolution mass spectrometry (FT-ICR MS) can resolve the composition of DOM at the molecular level, revealing that CO2 concentrations vary with the relative abundance of terrestrially derived condensed aromatics. Incubation experiments further confirmed the link between the degradation of biologically labile DOM and the aerobic CO2 production. We conclude that riverine organic matter inputs and subsequent degradation, modulated by inflow discharge, play a key role in shaping CO2 emissions from Lake Taihu over the past two decades.

Abstract Image

求助全文
约1分钟内获得全文 求助全文
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.
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信