{"title":"利用高分辨率质谱和生态模型定量富营养化过程中溶解有机质池的组装过程","authors":"Guan-Lin Chen, Chen Qian, Meng Du, Min-Jie Tong, Jie-Jie Chen, Han-Qing Yu","doi":"10.1016/j.watres.2025.123781","DOIUrl":null,"url":null,"abstract":"Dissolved organic matter (DOM) represents a large, dynamic pool of carbon, playing a crucial role in eutrophic aquatic ecosystems through its continuous transport and transformation. However, the assembly mechanisms of DOM under different eutrophic conditions remain elusive, hindering the understanding of carbon dynamics and the prediction of carbon fate. Here we collected 72 lake water samples during two sampling events in Chaohu Lake, the fifth largest freshwater lake in China, and performed high-resolution mass spectrometry (HRMS) and ecological null modeling to quantify the assembly processes of DOM in eutrophication. We found that as eutrophic levels increased, the relative contribution of homogeneous selection rose, while the contributions of variable selection and dispersal limitation decreased. The influence of different assembly processes on the DOM pool across sites, although estimated solely from HRMS data, exhibited reasonable consistency with the spatiotemporal variations. Several environmental parameters, including total phosphorus, Secchi disk depth, trophic state index, pH, temperature, and fluorescence index, were significantly correlated with one or more DOM assembly processes (<em>p</em> < 0.05), and assembly mechanisms also shaped the compound composition of DOM. Our findings reveal a shift in DOM assembly from variable selection to homogeneous selection in eutrophication, highlighting the importance of DOM dynamics and environmental homogenization in the management and restoration of eutrophic lakes.","PeriodicalId":443,"journal":{"name":"Water Research","volume":"36 1","pages":""},"PeriodicalIF":11.4000,"publicationDate":"2025-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Quantifying assembly processes of dissolved organic matter pools in eutrophication using high-resolution mass spectrometry and ecological models\",\"authors\":\"Guan-Lin Chen, Chen Qian, Meng Du, Min-Jie Tong, Jie-Jie Chen, Han-Qing Yu\",\"doi\":\"10.1016/j.watres.2025.123781\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Dissolved organic matter (DOM) represents a large, dynamic pool of carbon, playing a crucial role in eutrophic aquatic ecosystems through its continuous transport and transformation. However, the assembly mechanisms of DOM under different eutrophic conditions remain elusive, hindering the understanding of carbon dynamics and the prediction of carbon fate. Here we collected 72 lake water samples during two sampling events in Chaohu Lake, the fifth largest freshwater lake in China, and performed high-resolution mass spectrometry (HRMS) and ecological null modeling to quantify the assembly processes of DOM in eutrophication. We found that as eutrophic levels increased, the relative contribution of homogeneous selection rose, while the contributions of variable selection and dispersal limitation decreased. The influence of different assembly processes on the DOM pool across sites, although estimated solely from HRMS data, exhibited reasonable consistency with the spatiotemporal variations. Several environmental parameters, including total phosphorus, Secchi disk depth, trophic state index, pH, temperature, and fluorescence index, were significantly correlated with one or more DOM assembly processes (<em>p</em> < 0.05), and assembly mechanisms also shaped the compound composition of DOM. Our findings reveal a shift in DOM assembly from variable selection to homogeneous selection in eutrophication, highlighting the importance of DOM dynamics and environmental homogenization in the management and restoration of eutrophic lakes.\",\"PeriodicalId\":443,\"journal\":{\"name\":\"Water Research\",\"volume\":\"36 1\",\"pages\":\"\"},\"PeriodicalIF\":11.4000,\"publicationDate\":\"2025-05-04\",\"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.2025.123781\",\"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}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Water Research","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.1016/j.watres.2025.123781","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}
Quantifying assembly processes of dissolved organic matter pools in eutrophication using high-resolution mass spectrometry and ecological models
Dissolved organic matter (DOM) represents a large, dynamic pool of carbon, playing a crucial role in eutrophic aquatic ecosystems through its continuous transport and transformation. However, the assembly mechanisms of DOM under different eutrophic conditions remain elusive, hindering the understanding of carbon dynamics and the prediction of carbon fate. Here we collected 72 lake water samples during two sampling events in Chaohu Lake, the fifth largest freshwater lake in China, and performed high-resolution mass spectrometry (HRMS) and ecological null modeling to quantify the assembly processes of DOM in eutrophication. We found that as eutrophic levels increased, the relative contribution of homogeneous selection rose, while the contributions of variable selection and dispersal limitation decreased. The influence of different assembly processes on the DOM pool across sites, although estimated solely from HRMS data, exhibited reasonable consistency with the spatiotemporal variations. Several environmental parameters, including total phosphorus, Secchi disk depth, trophic state index, pH, temperature, and fluorescence index, were significantly correlated with one or more DOM assembly processes (p < 0.05), and assembly mechanisms also shaped the compound composition of DOM. Our findings reveal a shift in DOM assembly from variable selection to homogeneous selection in eutrophication, highlighting the importance of DOM dynamics and environmental homogenization in the management and restoration of eutrophic lakes.
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.