Hydromorphological pressure explains the status of macrophytes and phytoplankton less effectively than eutrophication but contributes to water quality deterioration

IF 11.4 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL Water Research Pub Date : 2024-10-20 DOI:10.1016/j.watres.2024.122669
Sebastian Kutyła, Agnieszka Kolada, Agnieszka Ławniczak-Malińska
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Abstract

Hydromorphological alterations are among the human-induced pressures that must be considered when assessing the ecological status of aquatic ecosystems. We investigated the effects of hydromorphological pressures on the ecological status of lowland lakes in Poland, focusing particularly on macrophyte and phytoplankton conditions. The analysis was based on biological, hydromorphological, and physicochemical data collected from 30 lowland lakes. Almost all biological and physicochemical indices correlated significantly (Spearman's |R|>0.5) with the hydromorphological index LHMS_PL. Using the variation partitioning method, we found that hydromorphological pressures explained only a small proportion (5.5%) of the variability in ecological status assessed using macrophytes. These pressures had no direct effects on the ecological status assessed using phytoplankton. The shared effects of physicochemistry and hydromorphology explained a large proportion of the variability in ecological status indices based on both phytoplankton and macrophytes. The results demonstrated that in the analysed lakes, hydromorphological alterations were usually accompanied by increased nutrient concentrations. This finding indicates that physical alterations may affect lake biological assemblages not only directly but also indirectly by reducing the ecosystem's natural buffering capacity, thereby promoting the eutrophication process.

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水文形态压力对大型水草和浮游植物状况的解释不如富营养化有效,但也会导致水质恶化
在评估水生生态系统的生态状况时,水文形态的改变是必须考虑的人为压力之一。我们研究了水文形态压力对波兰低地湖泊生态状况的影响,尤其关注大型植物和浮游植物的状况。分析基于从 30 个低地湖泊收集的生物、水文形态和物理化学数据。几乎所有生物和物理化学指数都与水文形态指数 LHMS_PL 显著相关(Spearman's |R|>0.5)。利用变异分区法,我们发现水文形态压力只能解释利用大型植物评估的生态状况变异中的一小部分(5.5%)。这些压力对利用浮游植物评估的生态状况没有直接影响。物理化学和水文形态的共同影响解释了浮游植物和大型底栖生物生态状况指数变异的很大一部分原因。结果表明,在所分析的湖泊中,水文形态的改变通常伴随着营养物质浓度的增加。这一发现表明,物理变化不仅会直接影响湖泊生物群落,还会通过降低生态系统的自然缓冲能力间接影响湖泊生物群落,从而促进富营养化过程。
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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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