Unraveling the links between molecular weight and multidimensional dynamics of dissolved organic matter in the runoff from gentle sloping land under rainfall
Guo Chen , Hao Wang , Qiang Zhang , Chao Chang , Fei Wang , Qingwei Zhang , Jian Wang , Yu Pang , Ming Li , Biao Zhu , Ding He
{"title":"Unraveling the links between molecular weight and multidimensional dynamics of dissolved organic matter in the runoff from gentle sloping land under rainfall","authors":"Guo Chen , Hao Wang , Qiang Zhang , Chao Chang , Fei Wang , Qingwei Zhang , Jian Wang , Yu Pang , Ming Li , Biao Zhu , Ding He","doi":"10.1016/j.watres.2025.124061","DOIUrl":null,"url":null,"abstract":"<div><div>Molecular weight is a fundamental intrinsic property of dissolved organic matter (DOM), playing a crucial role in its bio-stability, microbial transformation, and contributions to regional carbon cycling. However, the complex relationships between the molecular weight and multidimensional dynamics of DOM in the runoff remain insufficiently understood. In this study, fourier transform ion cyclotron resonance mass spectrometry (FT-ICR MS) was employed to elucidate the associations between molecular weight and multidimensional dynamics of DOM in surface runoff and subsurface runoff from gentle sloping land (i.e. bare land and farmland). Overall, DOM-bacteria bipartite network analysis revealed a more complex co-occurrence network in subsurface runoff from farmland, with interaction strength rising alongside molecular weight. Furthermore, null modeling from different perspectives, including molecular characteristics, biochemical transformations, and a comprehensive perspective, revealed that the DOM compositional assembly processes in runoff was dominated by deterministic processes, particularly variable selection, with variation also linked to molecular weight. Notably, variable selection always dominated the assembly process of DOM potential transformation despite the scale-dependent effects affecting the assembly process of DOM molecular characteristics. Therefore, the relationship between DOM molecular weight and its dynamics may vary across microbial communities and geographic scales. Overall, these findings not only help to deepen the understanding of the role of DOM in natural ecosystems, but also provide an important reference for the study of soil carbon cycling, biogeochemical cycling and microbial ecological processes.</div></div>","PeriodicalId":443,"journal":{"name":"Water Research","volume":"285 ","pages":"Article 124061"},"PeriodicalIF":12.4000,"publicationDate":"2025-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Water Research","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0043135425009698","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
Molecular weight is a fundamental intrinsic property of dissolved organic matter (DOM), playing a crucial role in its bio-stability, microbial transformation, and contributions to regional carbon cycling. However, the complex relationships between the molecular weight and multidimensional dynamics of DOM in the runoff remain insufficiently understood. In this study, fourier transform ion cyclotron resonance mass spectrometry (FT-ICR MS) was employed to elucidate the associations between molecular weight and multidimensional dynamics of DOM in surface runoff and subsurface runoff from gentle sloping land (i.e. bare land and farmland). Overall, DOM-bacteria bipartite network analysis revealed a more complex co-occurrence network in subsurface runoff from farmland, with interaction strength rising alongside molecular weight. Furthermore, null modeling from different perspectives, including molecular characteristics, biochemical transformations, and a comprehensive perspective, revealed that the DOM compositional assembly processes in runoff was dominated by deterministic processes, particularly variable selection, with variation also linked to molecular weight. Notably, variable selection always dominated the assembly process of DOM potential transformation despite the scale-dependent effects affecting the assembly process of DOM molecular characteristics. Therefore, the relationship between DOM molecular weight and its dynamics may vary across microbial communities and geographic scales. Overall, these findings not only help to deepen the understanding of the role of DOM in natural ecosystems, but also provide an important reference for the study of soil carbon cycling, biogeochemical cycling and microbial ecological processes.
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.