被水下大型植物覆盖的河流中温室气体扩散排放的昼夜变化:环境和生物驱动因素

IF 2 3区 环境科学与生态学 Q3 ENVIRONMENTAL SCIENCES
Haoyu Wang, Rong Wu, Deshou Cun, Yi Zhang, Yukun Hou, Junjun Chang
{"title":"被水下大型植物覆盖的河流中温室气体扩散排放的昼夜变化:环境和生物驱动因素","authors":"Haoyu Wang,&nbsp;Rong Wu,&nbsp;Deshou Cun,&nbsp;Yi Zhang,&nbsp;Yukun Hou,&nbsp;Junjun Chang","doi":"10.1007/s00027-024-01131-5","DOIUrl":null,"url":null,"abstract":"<div><p>Rivers are globally important sources of carbon emissions, but the diurnal pattern of greenhouse gas (GHG) emissions from rivers colonized with submerged macrophytes has rarely been explored. We determined the dissolved concentrations and diffusive fluxes of CO<sub>2</sub>, CH<sub>4</sub>, and N<sub>2</sub>O from a river covered with submerged macrophytes under different meteorological conditions (i.e., nighttime, cloudy, and sunny daytime) over a continuous 36-h period. Overall, the river functioned as a CO<sub>2</sub> sink during the daytime, while it transitioned to a CO<sub>2</sub> source at nighttime, primarily because of diurnal variations in plant metabolisms. No similar diurnal fluctuations in CH<sub>4</sub> or N<sub>2</sub>O emissions were detected, and the highest fluxes of CH<sub>4</sub> or N<sub>2</sub>O were measured during sunny daytime. In total, the river emitted more carbon at nighttime, with CH<sub>4</sub> contributing most to the total emissions on the basis of a CO<sub>2</sub> equivalent. Dissolved organic matter (DOM) in the river, whose properties were potentially modulated by submerged macrophytes, considerably influenced GHG emissions. Distinct dissimilarities were observed in the microbial communities inhabiting the river sediment and biofilms on plant leaves. Microbial communities in the sediment played more important roles in biogeochemical cycles, while the regulatory effects of epiphytic microbiota on GHG emissions should not be ignored. Multiple regression and structural equation modeling analyses revealed that the dissolved oxygen concentration, temperature, humification index (HIX) of DOM, and NH<sub>4</sub><sup>+</sup>–N concentration significantly influenced CO<sub>2</sub> diffusive fluxes, while CH<sub>4</sub> dynamics were predominantly influenced by DOM properties. Salinity, HIX, NH<sub>4</sub><sup>+</sup>-N concentration, and microbial consortia were the predominant factors influencing N<sub>2</sub>O emissions.</p></div>","PeriodicalId":55489,"journal":{"name":"Aquatic Sciences","volume":null,"pages":null},"PeriodicalIF":2.0000,"publicationDate":"2024-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Diurnal variations in greenhouse gas diffusive emissions from a river covered with submerged macrophytes: environmental and biotic driving factors\",\"authors\":\"Haoyu Wang,&nbsp;Rong Wu,&nbsp;Deshou Cun,&nbsp;Yi Zhang,&nbsp;Yukun Hou,&nbsp;Junjun Chang\",\"doi\":\"10.1007/s00027-024-01131-5\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Rivers are globally important sources of carbon emissions, but the diurnal pattern of greenhouse gas (GHG) emissions from rivers colonized with submerged macrophytes has rarely been explored. We determined the dissolved concentrations and diffusive fluxes of CO<sub>2</sub>, CH<sub>4</sub>, and N<sub>2</sub>O from a river covered with submerged macrophytes under different meteorological conditions (i.e., nighttime, cloudy, and sunny daytime) over a continuous 36-h period. Overall, the river functioned as a CO<sub>2</sub> sink during the daytime, while it transitioned to a CO<sub>2</sub> source at nighttime, primarily because of diurnal variations in plant metabolisms. No similar diurnal fluctuations in CH<sub>4</sub> or N<sub>2</sub>O emissions were detected, and the highest fluxes of CH<sub>4</sub> or N<sub>2</sub>O were measured during sunny daytime. In total, the river emitted more carbon at nighttime, with CH<sub>4</sub> contributing most to the total emissions on the basis of a CO<sub>2</sub> equivalent. Dissolved organic matter (DOM) in the river, whose properties were potentially modulated by submerged macrophytes, considerably influenced GHG emissions. Distinct dissimilarities were observed in the microbial communities inhabiting the river sediment and biofilms on plant leaves. Microbial communities in the sediment played more important roles in biogeochemical cycles, while the regulatory effects of epiphytic microbiota on GHG emissions should not be ignored. Multiple regression and structural equation modeling analyses revealed that the dissolved oxygen concentration, temperature, humification index (HIX) of DOM, and NH<sub>4</sub><sup>+</sup>–N concentration significantly influenced CO<sub>2</sub> diffusive fluxes, while CH<sub>4</sub> dynamics were predominantly influenced by DOM properties. Salinity, HIX, NH<sub>4</sub><sup>+</sup>-N concentration, and microbial consortia were the predominant factors influencing N<sub>2</sub>O emissions.</p></div>\",\"PeriodicalId\":55489,\"journal\":{\"name\":\"Aquatic Sciences\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.0000,\"publicationDate\":\"2024-11-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Aquatic Sciences\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s00027-024-01131-5\",\"RegionNum\":3,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Aquatic Sciences","FirstCategoryId":"93","ListUrlMain":"https://link.springer.com/article/10.1007/s00027-024-01131-5","RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0

摘要

河流是全球重要的碳排放源,但很少有人研究过生长有沉水大型植物的河流的温室气体(GHG)昼夜排放模式。我们测定了一条被沉水大型植物覆盖的河流在不同气象条件下(即夜间、阴天和晴天)连续 36 小时的二氧化碳、甲烷和一氧化二氮的溶解浓度和扩散通量。总体而言,河流在白天是二氧化碳汇,而在夜间则转变为二氧化碳源,这主要是由于植物新陈代谢的昼夜变化所致。在 CH4 或 N2O 排放量方面没有发现类似的昼夜波动,在晴朗的白天测量到的 CH4 或 N2O 通量最高。总的来说,河流在夜间的碳排放量更大,按二氧化碳当量计算,CH4 在总排放量中占比最大。河流中的溶解有机物(DOM)的性质可能受到水下大型植物的调节,对温室气体排放有很大影响。栖息在河流沉积物和植物叶片生物膜中的微生物群落存在明显差异。沉积物中的微生物群落在生物地球化学循环中发挥着更重要的作用,而附生微生物群落对温室气体排放的调节作用也不容忽视。多元回归和结构方程建模分析表明,溶解氧浓度、温度、DOM 的腐殖化指数(HIX)和 NH4+-N 浓度对 CO2 的扩散通量有显著影响,而 CH4 的动态变化主要受 DOM 特性的影响。盐度、HIX、NH4+-N 浓度和微生物群是影响 N2O 排放的主要因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Diurnal variations in greenhouse gas diffusive emissions from a river covered with submerged macrophytes: environmental and biotic driving factors

Rivers are globally important sources of carbon emissions, but the diurnal pattern of greenhouse gas (GHG) emissions from rivers colonized with submerged macrophytes has rarely been explored. We determined the dissolved concentrations and diffusive fluxes of CO2, CH4, and N2O from a river covered with submerged macrophytes under different meteorological conditions (i.e., nighttime, cloudy, and sunny daytime) over a continuous 36-h period. Overall, the river functioned as a CO2 sink during the daytime, while it transitioned to a CO2 source at nighttime, primarily because of diurnal variations in plant metabolisms. No similar diurnal fluctuations in CH4 or N2O emissions were detected, and the highest fluxes of CH4 or N2O were measured during sunny daytime. In total, the river emitted more carbon at nighttime, with CH4 contributing most to the total emissions on the basis of a CO2 equivalent. Dissolved organic matter (DOM) in the river, whose properties were potentially modulated by submerged macrophytes, considerably influenced GHG emissions. Distinct dissimilarities were observed in the microbial communities inhabiting the river sediment and biofilms on plant leaves. Microbial communities in the sediment played more important roles in biogeochemical cycles, while the regulatory effects of epiphytic microbiota on GHG emissions should not be ignored. Multiple regression and structural equation modeling analyses revealed that the dissolved oxygen concentration, temperature, humification index (HIX) of DOM, and NH4+–N concentration significantly influenced CO2 diffusive fluxes, while CH4 dynamics were predominantly influenced by DOM properties. Salinity, HIX, NH4+-N concentration, and microbial consortia were the predominant factors influencing N2O emissions.

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
Aquatic Sciences
Aquatic Sciences 环境科学-海洋与淡水生物学
CiteScore
3.90
自引率
4.20%
发文量
60
审稿时长
1 months
期刊介绍: Aquatic Sciences – Research Across Boundaries publishes original research, overviews, and reviews dealing with aquatic systems (both freshwater and marine systems) and their boundaries, including the impact of human activities on these systems. The coverage ranges from molecular-level mechanistic studies to investigations at the whole ecosystem scale. Aquatic Sciences publishes articles presenting research across disciplinary and environmental boundaries, including studies examining interactions among geological, microbial, biological, chemical, physical, hydrological, and societal processes, as well as studies assessing land-water, air-water, benthic-pelagic, river-ocean, lentic-lotic, and groundwater-surface water interactions.
×
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