{"title":"跨流域调水工程中浮游植物群落组合:时间动态优于空间动态","authors":"Congcong Wang, Xinzong Xiao, Xiongdong Zhou, Xiaoli Li, Jiahao Zhang, Ruiyu Wang, Kai Liu, Yaoguo Wei, Mengzhen Xu","doi":"10.1016/j.watres.2025.124260","DOIUrl":null,"url":null,"abstract":"Large-scale water diversion projects play a critical role in the redistribution of essential water resources. Despite their crucial role in maintaining water quality and ecosystem stability in water diversion projects, a deeper understanding of the transport mechanism of phytoplankton in water diversion has yet to be thoroughly explored. A systematic investigation was conducted to better understand the ecological processes related to phytoplankton in the mammoth Middle Route of the South–North Water Diversion Project. Methods including β-diversity partitioning, null model, and generalized linear model were applied to analyze the process and driving mechanism of the assembly of phytoplankton communities. Results indicated that the temporal and spatial variation of phytoplankton in the canal was mainly regulated and controlled by Chlorophyta and Bacillariophyta. The β-diversity of phytoplankton throughout various seasons was mainly driven by species turnover, and was less influenced by dispersal limitation. On a year-long time scale, stochastic processes dominated. However, the relative weights of stochastic and deterministic processes varied with seasons. Phytoplankton communities were primarily influenced by stochastic processes in summer and autumn, and by deterministic processes in winter and spring. Seasonal and season-related factors (e.g., water temperature, dissolved oxygen) had a much greater impact on the β-diversity of phytoplankton than location and location-related factors (e.g., permanganate index). Further analyses showed that phytoplankton communities exhibited characteristics of stochastic assembly in summer and autumn. In winter and spring, however, the composition of phytoplankton communities was significantly regulated by the variations in turbidity, flow velocity, and dissolved organic matter. The above results revealed a unique mechanism: artificial water diversion projects weakened spatial heterogeneity via hydrologic homogeneity, thereby redirecting the main control axis of phytoplankton community assembly towards the temporal dimension. Based on the above findings, we recommend implementing seasonally differentiated real-time algae monitoring and a rapid response mechanism to more effectively address potential ecological risks, optimize water quality management, and ensure ecological safety in long-distance water diversion projects.","PeriodicalId":443,"journal":{"name":"Water Research","volume":"109 1","pages":""},"PeriodicalIF":12.4000,"publicationDate":"2025-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Phytoplankton community assembly in an inter-basin water diversion project: Dominance of temporal dynamics over spatial dynamics\",\"authors\":\"Congcong Wang, Xinzong Xiao, Xiongdong Zhou, Xiaoli Li, Jiahao Zhang, Ruiyu Wang, Kai Liu, Yaoguo Wei, Mengzhen Xu\",\"doi\":\"10.1016/j.watres.2025.124260\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Large-scale water diversion projects play a critical role in the redistribution of essential water resources. Despite their crucial role in maintaining water quality and ecosystem stability in water diversion projects, a deeper understanding of the transport mechanism of phytoplankton in water diversion has yet to be thoroughly explored. A systematic investigation was conducted to better understand the ecological processes related to phytoplankton in the mammoth Middle Route of the South–North Water Diversion Project. Methods including β-diversity partitioning, null model, and generalized linear model were applied to analyze the process and driving mechanism of the assembly of phytoplankton communities. Results indicated that the temporal and spatial variation of phytoplankton in the canal was mainly regulated and controlled by Chlorophyta and Bacillariophyta. The β-diversity of phytoplankton throughout various seasons was mainly driven by species turnover, and was less influenced by dispersal limitation. On a year-long time scale, stochastic processes dominated. However, the relative weights of stochastic and deterministic processes varied with seasons. Phytoplankton communities were primarily influenced by stochastic processes in summer and autumn, and by deterministic processes in winter and spring. Seasonal and season-related factors (e.g., water temperature, dissolved oxygen) had a much greater impact on the β-diversity of phytoplankton than location and location-related factors (e.g., permanganate index). Further analyses showed that phytoplankton communities exhibited characteristics of stochastic assembly in summer and autumn. In winter and spring, however, the composition of phytoplankton communities was significantly regulated by the variations in turbidity, flow velocity, and dissolved organic matter. The above results revealed a unique mechanism: artificial water diversion projects weakened spatial heterogeneity via hydrologic homogeneity, thereby redirecting the main control axis of phytoplankton community assembly towards the temporal dimension. Based on the above findings, we recommend implementing seasonally differentiated real-time algae monitoring and a rapid response mechanism to more effectively address potential ecological risks, optimize water quality management, and ensure ecological safety in long-distance water diversion projects.\",\"PeriodicalId\":443,\"journal\":{\"name\":\"Water Research\",\"volume\":\"109 1\",\"pages\":\"\"},\"PeriodicalIF\":12.4000,\"publicationDate\":\"2025-07-19\",\"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.2025.124260\",\"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.2025.124260","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}
Phytoplankton community assembly in an inter-basin water diversion project: Dominance of temporal dynamics over spatial dynamics
Large-scale water diversion projects play a critical role in the redistribution of essential water resources. Despite their crucial role in maintaining water quality and ecosystem stability in water diversion projects, a deeper understanding of the transport mechanism of phytoplankton in water diversion has yet to be thoroughly explored. A systematic investigation was conducted to better understand the ecological processes related to phytoplankton in the mammoth Middle Route of the South–North Water Diversion Project. Methods including β-diversity partitioning, null model, and generalized linear model were applied to analyze the process and driving mechanism of the assembly of phytoplankton communities. Results indicated that the temporal and spatial variation of phytoplankton in the canal was mainly regulated and controlled by Chlorophyta and Bacillariophyta. The β-diversity of phytoplankton throughout various seasons was mainly driven by species turnover, and was less influenced by dispersal limitation. On a year-long time scale, stochastic processes dominated. However, the relative weights of stochastic and deterministic processes varied with seasons. Phytoplankton communities were primarily influenced by stochastic processes in summer and autumn, and by deterministic processes in winter and spring. Seasonal and season-related factors (e.g., water temperature, dissolved oxygen) had a much greater impact on the β-diversity of phytoplankton than location and location-related factors (e.g., permanganate index). Further analyses showed that phytoplankton communities exhibited characteristics of stochastic assembly in summer and autumn. In winter and spring, however, the composition of phytoplankton communities was significantly regulated by the variations in turbidity, flow velocity, and dissolved organic matter. The above results revealed a unique mechanism: artificial water diversion projects weakened spatial heterogeneity via hydrologic homogeneity, thereby redirecting the main control axis of phytoplankton community assembly towards the temporal dimension. Based on the above findings, we recommend implementing seasonally differentiated real-time algae monitoring and a rapid response mechanism to more effectively address potential ecological risks, optimize water quality management, and ensure ecological safety in long-distance water diversion projects.
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.