Yingjie Wang , Lihua Niu , Yi Li , Guanhua Zou , Jianming Wu , Jinhai Zheng
{"title":"运用现代共存理论了解亚热带富营养化河网中浮游植物群落的不同状态","authors":"Yingjie Wang , Lihua Niu , Yi Li , Guanhua Zou , Jianming Wu , Jinhai Zheng","doi":"10.1016/j.watres.2024.123062","DOIUrl":null,"url":null,"abstract":"<div><div>Plain river networks are increasingly threatened by eutrophication, bringing out various types of algal blooms. However, limited information is available on the coexistence mechanisms of interactive phytoplankton communities and how they vary under distinct environmental conditions, hampering the deep understanding of the ecological mechanism of algal blooms. By coupling the modern coexistence theory and the alternative stable states theory, this study for the first time analyzed coexistence patterns of phytoplankton communities under two distinct states in a subtropical river network. The observed bimodal distribution based on phytoplankton biomass was aligned with the water trophic level index (TLI), segregating the community into the high-trophic state (A) and the low-trophic state (B). In state A, the phytoplankton community exhibited high abundance but low diversity and evenness. Conversely, state B displayed the opposite pattern. In terms of coexistence patterns, the coexistence probability of selected high-abundance genera in state A was 60.7 %, attributed to reduced fitness differences (72.92); whereas in state B, it was 47.2 %, attributed to higher niche differences (0.98). Thus, the fitness difference was recognized as the primary catalyst for the discrepancies between the two states. Variations in fitness differences of the core genus <em>Cyclotella</em> significantly impacted the dynamics of the phytoplankton community. Flow velocity and nutrient availability, including TN, NO<sub>3</sub><sup>-</sup>-N, and NH<sub>4</sub><sup>+</sup>-N, were identified as significant factors influencing both biomass and coexistence parameters. The structural equation model indicated that environmental conditions exerted a more direct influence on the community in state B, while their impacts on state A were strongly mediated through interactions among genera. This study sheds light on the role of internal interactions in shaping the phytoplankton community, offering novel insights for aquatic ecological restoration through the lens of species coexistence.</div></div>","PeriodicalId":443,"journal":{"name":"Water Research","volume":"274 ","pages":"Article 123062"},"PeriodicalIF":12.4000,"publicationDate":"2024-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Using modern coexistence theory to understand the distinct states of phytoplankton communities in a subtropical eutrophic river network\",\"authors\":\"Yingjie Wang , Lihua Niu , Yi Li , Guanhua Zou , Jianming Wu , Jinhai Zheng\",\"doi\":\"10.1016/j.watres.2024.123062\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Plain river networks are increasingly threatened by eutrophication, bringing out various types of algal blooms. However, limited information is available on the coexistence mechanisms of interactive phytoplankton communities and how they vary under distinct environmental conditions, hampering the deep understanding of the ecological mechanism of algal blooms. By coupling the modern coexistence theory and the alternative stable states theory, this study for the first time analyzed coexistence patterns of phytoplankton communities under two distinct states in a subtropical river network. The observed bimodal distribution based on phytoplankton biomass was aligned with the water trophic level index (TLI), segregating the community into the high-trophic state (A) and the low-trophic state (B). In state A, the phytoplankton community exhibited high abundance but low diversity and evenness. Conversely, state B displayed the opposite pattern. In terms of coexistence patterns, the coexistence probability of selected high-abundance genera in state A was 60.7 %, attributed to reduced fitness differences (72.92); whereas in state B, it was 47.2 %, attributed to higher niche differences (0.98). Thus, the fitness difference was recognized as the primary catalyst for the discrepancies between the two states. Variations in fitness differences of the core genus <em>Cyclotella</em> significantly impacted the dynamics of the phytoplankton community. Flow velocity and nutrient availability, including TN, NO<sub>3</sub><sup>-</sup>-N, and NH<sub>4</sub><sup>+</sup>-N, were identified as significant factors influencing both biomass and coexistence parameters. The structural equation model indicated that environmental conditions exerted a more direct influence on the community in state B, while their impacts on state A were strongly mediated through interactions among genera. This study sheds light on the role of internal interactions in shaping the phytoplankton community, offering novel insights for aquatic ecological restoration through the lens of species coexistence.</div></div>\",\"PeriodicalId\":443,\"journal\":{\"name\":\"Water Research\",\"volume\":\"274 \",\"pages\":\"Article 123062\"},\"PeriodicalIF\":12.4000,\"publicationDate\":\"2024-12-28\",\"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/S0043135424019626\",\"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://www.sciencedirect.com/science/article/pii/S0043135424019626","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}
Using modern coexistence theory to understand the distinct states of phytoplankton communities in a subtropical eutrophic river network
Plain river networks are increasingly threatened by eutrophication, bringing out various types of algal blooms. However, limited information is available on the coexistence mechanisms of interactive phytoplankton communities and how they vary under distinct environmental conditions, hampering the deep understanding of the ecological mechanism of algal blooms. By coupling the modern coexistence theory and the alternative stable states theory, this study for the first time analyzed coexistence patterns of phytoplankton communities under two distinct states in a subtropical river network. The observed bimodal distribution based on phytoplankton biomass was aligned with the water trophic level index (TLI), segregating the community into the high-trophic state (A) and the low-trophic state (B). In state A, the phytoplankton community exhibited high abundance but low diversity and evenness. Conversely, state B displayed the opposite pattern. In terms of coexistence patterns, the coexistence probability of selected high-abundance genera in state A was 60.7 %, attributed to reduced fitness differences (72.92); whereas in state B, it was 47.2 %, attributed to higher niche differences (0.98). Thus, the fitness difference was recognized as the primary catalyst for the discrepancies between the two states. Variations in fitness differences of the core genus Cyclotella significantly impacted the dynamics of the phytoplankton community. Flow velocity and nutrient availability, including TN, NO3--N, and NH4+-N, were identified as significant factors influencing both biomass and coexistence parameters. The structural equation model indicated that environmental conditions exerted a more direct influence on the community in state B, while their impacts on state A were strongly mediated through interactions among genera. This study sheds light on the role of internal interactions in shaping the phytoplankton community, offering novel insights for aquatic ecological restoration through the lens of species coexistence.
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.