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

IF 12.4 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL
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 ,&nbsp;Lihua Niu ,&nbsp;Yi Li ,&nbsp;Guanhua Zou ,&nbsp;Jianming Wu ,&nbsp;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 ,&nbsp;Lihua Niu ,&nbsp;Yi Li ,&nbsp;Guanhua Zou ,&nbsp;Jianming Wu ,&nbsp;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}
引用次数: 0

摘要

平原河网日益受到富营养化的威胁,产生了各种类型的藻华。然而,关于浮游植物群落相互作用的共存机制及其在不同环境条件下如何变化的信息有限,阻碍了对藻华生态机制的深入认识。本文首次将现代共存理论与交替稳定状态理论相结合,分析了亚热带水系两种不同状态下浮游植物群落的共存模式。基于浮游植物生物量的双峰分布与水体营养水平指数(TLI)一致,将群落划分为高营养状态(A)和低营养状态(B)。在A状态下,浮游植物群落表现出高丰度,但多样性和均匀度较低。相反,状态B表现出相反的模式。在共存模式方面,高丰度属在状态A的共存概率为60.7%,这主要是由于适应度差异减小(72.92);而B州的生态位差异较大,为47.2%(0.98)。因此,适应度差异被认为是两种状态差异的主要催化剂。核心属环藻适应度差异的变化显著影响了浮游植物群落的动态。流速和养分有效性(包括TN、NO3—N和NH4+-N)是影响生物量和共存参数的重要因素。结构方程模型表明,环境条件对群落B状态的影响更为直接,而对群落a状态的影响主要通过属间相互作用介导。本研究揭示了内部相互作用在浮游植物群落形成中的作用,通过物种共存的镜头为水生生态恢复提供了新的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Using modern coexistence theory to understand the distinct states of phytoplankton communities in a subtropical eutrophic river network

Using modern coexistence theory to understand the distinct states of phytoplankton communities in a subtropical eutrophic river network

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.
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
Water Research
Water Research 环境科学-工程:环境
CiteScore
20.80
自引率
9.40%
发文量
1307
审稿时长
38 days
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.
×
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:604180095
Book学术官方微信