气候变化加剧了氮形态对浮游植物优势物种演替的影响

IF 11.4 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL
Xuemei Liu , Jingjie Zhang , Yanfeng Wu , Yexiang Yu , Jingxuan Sun , Dehua Mao , Guangxin Zhang
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引用次数: 0

摘要

营养比例、光照强度和温度会影响浮游植物优势物种的演替。尽管有这些见解,但这种在高浊度湖泊中的转化机制仍然是一个研究空白,尤其是在应对气候变化方面。为了填补这一空白,我们研究了多环境因素对查干湖浮游植物优势种演替的影响机制。该研究采用了结构方程模型(SEM)和水动力-水质-水生态机制模型。结果表明,2012 年至 2022 年期间,查干湖浮游植物的优势种类由硅藻转变为蓝藻。值得注意的是,在 2022 年发现了蓝藻。SEM 揭示了这一演替的主要环境变量,包括水温(T)、营养物质(总氮(TN)、总磷(TP)和氨氮(NHN))以及总悬浮固体(TSS)。此外,这一事件并非浮游动物捕食所致。为探索浮游植物演替的驱动机制及其对气候变化的响应,建立了一个水动力-水质-开花机制综合模型。营养物质决定了浮游植物的生物量和基于不同比例的优势物种演替。在高 TSS 条件下,高 NHN:NON 比率有利于蓝藻,而抑制硅藻。此外,硅藻(30.77% 对 22.28%)和绿藻(30.56% 对 23.30%)的生物量比例急剧下降。相比之下,随着 NH-N:NO-N 比值的增加,蓝藻的丰度显著增加(35.78% 到 51.71%)。此外,当 TN:TP≥20 和 NHN:NON≥10 时,非固氮蓝藻的比例高于固氮蓝藻。光限制表型也随着 NHN:NON 比率的升高而增加。值得注意的是,在 SSP585 情景下,当气温上升 3.0 ℃ 至 2061 年时,蓝藻生物量达到基线情景下的 3-6 倍。我们强调了氮形态对浮游植物优势物种演替的影响。气候变暖将增加氮的比例,为控制蓝藻藻华提供了有价值的参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Intensified effect of nitrogen forms on dominant phytoplankton species succession by climate change

Intensified effect of nitrogen forms on dominant phytoplankton species succession by climate change

Nutrient proportion, light intensity, and temperature affect the succession of dominant phytoplankton species. Despite these insights, this transformation mechanism in highly turbid lakes remains a research gap, especially in response to climate change. To fill this gap, we investigated the mechanism by which multi-environmental factors influence the succession of dominant phytoplankton species in Lake Chagan. This investigation deployed the structural equation model (SEM) and the hydrodynamic-water quality-water ecology mechanism model. Results demonstrated that the dominant phytoplankton species in Lake Chagan transformed from diatom to cyanobacteria during 2012 and 2022. Notably, Microcystis was detected in 2022. SEM revealed the primary environment variables for this succession, including water temperature (Tw), nutrients (total nitrogen (TN), total phosphorus (TP), and ammonia nitrogen (NH4N)), and total suspended solids (TSS). Moreover, this event was not the consequence of zooplankton grazing. An integrated hydrodynamic-water quality-bloom mechanism model was built to explore the mechanism driving phytoplankton succession and its response to climate change. Nutrients determined the phytoplankton biomass and dominant species succession based on various proportions. High NH4N:NO3N ratios favored cyanobacteria and inhibited diatom under high TSS. Additionally, the biomass proportions of diatom (30.77 % vs. 22.28 %) and green (30.56 % vs. 23.30 %) decreased dramatically. In contrast, cyanobacteria abundance remarkably increased (35.78 % to 51.71 %) with the increasing NH4-N:NO3-N ratios. In addition, the proportion of non-nitrogen-fixing cyanobacteria was higher than that of the nitrogen-fixing cyanobacteria counterparts when TN:TP≥20 and NH4N:NO3N ≥ 10. Light-limitation phenotypes also experienced an increase with the rising NH4N:NO3N ratios. Notably, the cyanobacterial biomass reached 3–6 times that in the baseline scenario when the air temperature escalated by 3.0 °C until 2061 under the SSP585 scenario. We highlighted the effect of nitrogen forms on the succession of dominant phytoplankton species. Climate warming will increase nitrogen proportion, providing an insightful reference for controlling cyanobacterial blooms.

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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.
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