Impact of spatial variations in water quality and hydrological factors on the food-web structure in urban aquatic environments

Zhao, Chang; Yang, Yi; Yang, Shengtian; Xiang, Hua; Wang, F.; Chen, X.; Zhang, H.M.; Yu, Qiang

doi:10.1016/j.watres.2019.01.015

Cited by 46 publications

(18 citation statements)

References 59 publications

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“…No matter in overlying water or sediment, the α-diversity of bacterial communities in FC were lower than in LH. In agreement with our results, a previous study showed that the food-web of urban river was low in diversity due to the greater influence of water quality degradation caused by human activities [16].…”

Section: Characteristics Of Bacterial Communities In Urban Riversupporting

confidence: 93%

“…Water and sediment qualities are integrated representations of multiple physical, chemical, and biological processes. Similar to other polluted urban rivers [2,6,16], FC river, which ran through the urban center, was characterized by high contents of TN, TP, NH 4 + -N, and low levels of DO (Figs 1 and 2). In the overlying water of both rivers, the concentrations of TN, TP, and NO 3 -N in summer were higher than spring, which might be attributed to a larger amount of surface runoff containing higher pollutants into rivers caused by rainfall in summer (674.70 mm during May to September, accounting for 64.38% of the annual rainfall in Wuxi) [36].…”

Section: Characteristics Of Water and Sediment Qualities In An Urban mentioning

confidence: 62%

“…Our data showed that there was no significant difference in the diversity and bacterial community compositions in the overlying water of FC and LH rivers although the studied characteristics of water quality were significantly different between rivers and seasons. Zhao et al [16] analyzed 39 stations around Jinan city with different water quality and identified hydraulic parameters, temperature, transparency, electrical conductivity, and dissolved oxygen, instead of water quality, as the main driving factors of aquatic communities. Sánchez-Carrillo [51] studied 10 lakes around the world and found temperature and altitude were the important driving factors of food-web structure.…”

Section: Difference Of Bacterial Communities In An Urban Center and Smentioning

confidence: 99%

“…However, N removal processes are influenced by variation of environmental factors, contaminants and microbial communities [ 11 – 15 ]. Water quality also deeply influences river ecosystem structure, food-web integrity, as well as ecosystem functions and services [ 16 ]. Previous studies have demonstrated that flow velocity and contaminants in urban rivers affected sediment oxygen demand, and the structure and integrity of eukaryotic and bacterial communities [ 14 , 17 , 18 ].…”

Section: Introductionmentioning

confidence: 99%

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Insight into the nitrogen accumulation in urban center river from functional genes and bacterial community

Liu

Jiang

et al. 2020

PLoS ONE

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Along with urbanization, the intensified nitrogen pollution in urban rivers and the form of black-odor rivers has become one of the biggest concerns. Better understanding of the nitrogen transformations and microbial mechanisms occurring within urban rivers could help to manage their water quality. In this study, pollution characteristics, potential nitrogen removal rate, composition and function of bacterial community, and abundance of functional genes associated with nitrogen transformation were comparatively investigated in a typical urban river (FC) and a suburban river (LH). Compared with LH, FC was characterized by higher content of nutrients, lower potential nitrogen removal rate and lower abundance of functional genes associated with nitrogen transformation in both overlying water and sediment, especially in summer. Sediment dissolved organic matter characterized by excitation−emission matrix (EEM) showed that FC was more severely polluted by high nitrogen organic matter. Our results revealed that anammox was the main nitrogen removal pathway in both rivers and potential nitrogen removal rates decreased significantly in summer. Bacterial community analysis showed that the benthic communities were more severely influenced by the pollutant than aquatic ones in both rivers. Furthermore, the FC benthic community was dominated by anaerobic respiring, fermentative, sulfate reduction bacteria. Quantitatively, the denitrification rate showed a significant positive correlation with the abundance of denitrification genes, whilst the anammox rate was significantly negatively correlated with bacterial diversity. Meanwhile, NH 4 +-N had a significant negative correlation to both denitrification and anammox in sediment. Taken together, the results indicated that the increased nitrogen pollutants in an urban river altered nitrogen removal pathways and bacterial communities, which could in turn exacerbate the nitrogen pollution to this river.

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Section: Characteristics Of Bacterial Communities In Urban Riversupporting

confidence: 93%

Section: Characteristics Of Water and Sediment Qualities In An Urban mentioning

confidence: 62%

Section: Difference Of Bacterial Communities In An Urban Center and Smentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Insight into the nitrogen accumulation in urban center river from functional genes and bacterial community

Liu

Jiang

et al. 2020

PLoS ONE

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“…The outcomes of water ecosystem restoration in the first pilot city will directly affect the processes for the other cities. It is important for governments and stakeholders to evaluate the outcomes of the pilot cities project and to use this information to make good decisions for the other WEC areas (Zhao et al 2019a(Zhao et al , 2019b. The success of ecological restoration in the pilot cities will provide fundamental improvements in the living environment for people in China.…”

Section: Introductionmentioning

confidence: 99%

Ecology of China's pilot cities for creating healthy aquatic communities: heterogeneity, niches and environmental factors

Zhao

Yang

2019

Mar. Freshwater Res.

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Globally, climate change and human activities have greatly stressed the health of water ecological communities (WECs) in cities, and WEC restoration is therefore a critical issue, especially for developing cities. To restore healthy WECs and support humans into the future, the Ministry of Water Resources, China, proposed a project to build cities with healthy WECs. Jinan was designated the first pilot city for this project. The exploration of methodologies on WEC restoration in pilot cities is important because it can provide reliable theoretical evidence and methodological references for researchers and managers, and serve as an important decision-making basis for ecological resources management and remediation of fresh waters. In this Research Front, we have brought together studies on aquatic ecosystems of the first pilot cities project to build healthy WECs in China, including studies on the health, temporospatial heterogeneity and niches of WECs, as well as environmental factors. These studies can significantly increase our understanding of the ecology of the aquatic systems in China’s pilot cities. It is anticipated that this ecosystem knowledge will help assess the effects of climate- and human-induced stress changes, and form the basis for making aquatic ecosystem protection and restoration decisions across the globe.

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Determination of priority areas and principal environmental factors for water ecosystem health remediation

et al. 2019

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Globally, the deterioration of aquatic ecosystems has attracted wide concentrations of scholars and governments, and how to wisely remediate the damaged ecosystem is a hot issue. Determination of prior areas is critical for ecosystem remediation. However, there are very few systematically feasible methods available for comprehensively addressing the issue, and consequently, the benefits of water ecosystem remediation projects are reduced. Therefore, this paper proposes a framework for determining priority areas based on phytoplankton response to environmental factors. Phytoplankton constitute the main component of global aquatic biomes and water blooms. The effects of water ecosystem remediation projects are highly related to phytoplankton. First, we identified the dominant species of phytoplankton using a dominance accumulation model. Then, we determined the main environmental factors of phytoplankton using detrended correspondence analysis and canonical correspondence analysis. Afterwards, we calculated the adaptability of a single species to all principal environmental factors and the responsiveness of all dominant species to a single environmental factor using methods of integrated habitat suitability index and multispecies‐based habitat suitability index. On the basis of these results, we finally developed a new model of the suitability of aquatic biomes to habitat factors (IHSIA) whereby to determine the priority areas and the principal environmental factors by time–space coupling analysis. We applied the method to Jinan, a pilot city for the construction of a civilized ecological city in China. The results indicated that waters in urban areas are priority areas for remediation; principal environmental factors in both the whole study area and the priority areas for phytoplankton are NH3‐N, water temperature, total phosphorus, and dissolved oxygen where the NH3‐N is the most urgent environmental factor to be remediated in the study area. Reducing the concentration of NH3‐N can facilitate phytoplankton biome remediation. We found that dominant phytoplankton species can reflect the actual status of phytoplankton populations and can provide important reference data for global aquatic life research; space–time scale is an important factor in selecting principal environmental factors; limiting environmental factors that are poorly adaptable to dominant species could help provide a new path for water bloom prevention; the newly proposed model IHSIA can make the ecological environment remediation more objective. These results can help water managers reduce the scale of phytoplankton biomes by adjusting the environmental factors. The presented framework can provide new ways for water bloom prevention and can serve as the theoretical and scientific basis for the high success rate of water ecosystem restoration projects across the world.

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Impact of spatial variations in water quality and hydrological factors on the food-web structure in urban aquatic environments

Cited by 46 publications

References 59 publications

Insight into the nitrogen accumulation in urban center river from functional genes and bacterial community

Insight into the nitrogen accumulation in urban center river from functional genes and bacterial community

Ecology of China's pilot cities for creating healthy aquatic communities: heterogeneity, niches and environmental factors

Determination of priority areas and principal environmental factors for water ecosystem health remediation

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