1
|
Fan L, Cheng J, Xie Y, Xu L, Buttler A, Wu Y, Fan H, Wu Y. Spatio-temporal patterns and drivers of CH 4 and CO 2 fluxes from rivers and lakes in highly urbanized areas. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 918:170689. [PMID: 38320709 DOI: 10.1016/j.scitotenv.2024.170689] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/08/2023] [Revised: 01/25/2024] [Accepted: 02/02/2024] [Indexed: 02/13/2024]
Abstract
Gaseous carbon exchange at the water-air interface of rivers and lakes is an essential process for regional and global carbon cycle assessments. Many studies have shown that rivers surrounding urban landscapes can be hotspots for greenhouse gas (GHG) emissions. Here we investigated the variability of diffusive GHG (methane [CH4] and carbon dioxide [CO2]) emissions from rivers in different landscapes (i.e., urban, agricultural and mixed) and from lakes in Suzhou, a highly urbanized region in eastern China. GHG emissions in the Suzhou metropolitan water network followed a typical seasonal pattern, with the highest fluxes in summer, and were primarily influenced by temperature and dissolved oxygen concentration. Surprisingly, lakes were emission hotspots, with mean CH4 and CO2 fluxes of 2.80 and 128.89 mg m-2 h-1, respectively, translating to a total CO2-equivalent flux of 0.21 g CO2-eq m-2 d-1. The global warming potential of urban and mixed rivers (0.19 g CO2-eq m-2 d-1) was comparable to that for lakes, but about twice the value for agricultural rivers (0.10 g CO2-eq m-2 d-1). Factors related to the high GHG emissions in lakes included hypoxic water conditions and an adequate nutrient supply. Riverine CH4 emissions were primarily associated with the concentrations of total dissolved solids (TDS), ammonia‑nitrogen and chlorophyll a. CO2 emissions in rivers were mainly closely related to TDS, with suitable conditions allowing rapid organic matter decomposition. Compared with other types of rivers, urban rivers had more available organic matter and therefore higher CO2 emissions. Overall, this study emphasizes the need for a deeper understanding of the impact of GHG emissions from different water types on global warming in rapidly urbanizing regions. Flexible management measures are urgently needed to mitigate CO2 and CH4 emissions more effectively in the context of the shrinking gap between urban and rural areas with growing socio-economic development.
Collapse
Affiliation(s)
- Longfeng Fan
- Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, PR China; University of Chinese Academy of Sciences, Beijing 100049, PR China
| | - Junxiang Cheng
- Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, PR China; Jiangxi Research Academy of Ecological Civilization, Nanchang 330036, PR China.
| | - Yangcun Xie
- Chinese Academy of Environmental Planning, Beijing 100043, PR China.
| | - Ligang Xu
- Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, PR China; University of Chinese Academy of Sciences, Nanjing, Nanjing 211135, PR China
| | - Alexandre Buttler
- School of Architecture, Civil and Environmental Engineering (ENAC), Ecole Polytechnique Federal of Lausanne (EPFL), Station 2, CH-1015 Lausanne, Switzerland; Swiss Federal Institute for Forest, Snow and Landscape Research (WSL), Site Lausanne, Station 2, CH-1015 Lausanne, Switzerland
| | - Yuexia Wu
- School of Business Administration, Nanjing University of Finance & Economics, Nanjing 210023, PR China
| | - Hongxiang Fan
- Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, PR China
| | - Yakun Wu
- Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, PR China; School of Energy and Environment, Anhui University of Technology, Ma'anshan 243002, PR China
| |
Collapse
|
2
|
Xu S, Zhang T, Zhang X, Gui Q, Sun F, Zhang Y. Dynamics of the sedimentary bacterial communities in a plain river network: similar coalescence patterns with bacterioplankton communities driven by distinct assembly processes. Appl Environ Microbiol 2023; 89:e0146523. [PMID: 38092675 PMCID: PMC10734549 DOI: 10.1128/aem.01465-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2023] [Accepted: 10/12/2023] [Indexed: 12/22/2023] Open
Abstract
IMPORTANCE Microorganisms play important roles in driving the biogeochemical cycles within river ecosystems. It has been suggested that hydrologic conditions could influence microbial communities in rivers, but their specific effects on the behaviours of microbial coalescence have not been thoroughly investigated. In this study, the dynamics of sedimentary bacterial communities within a plain river network were analyzed by amplicon sequencing followed by several ecological models to uncover the underlying assembly processes. Additionally, a comparative analysis between bacterioplankton communities and sedimentary bacterial communities was performed to unveil their coalescence patterns. The results suggested that similar coalescence patterns between sedimentary bacterial and bacterioplankton communities were driven by distinct assembly processes under dynamic hydrological conditions. These findings enhanced our understanding of microbial diversity features within river ecosystems.
Collapse
Affiliation(s)
- Sai Xu
- Ministry of Ecology and Environment, Nanjing Institute of Environmental Sciences, Nanjing, China
- Jiangsu Key Laboratory of Chemical Pollution Control and Resources Reuse, School of Environmental and Biological Engineering, Nanjing University of Science and Technology, Nanjing, China
| | - Tao Zhang
- Ministry of Ecology and Environment, Nanjing Institute of Environmental Sciences, Nanjing, China
| | - Xinyi Zhang
- Jiangsu Key Laboratory of Chemical Pollution Control and Resources Reuse, School of Environmental and Biological Engineering, Nanjing University of Science and Technology, Nanjing, China
| | - Qiyao Gui
- Ministry of Ecology and Environment, Nanjing Institute of Environmental Sciences, Nanjing, China
| | - Fengbin Sun
- State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
| | - Yimin Zhang
- Ministry of Ecology and Environment, Nanjing Institute of Environmental Sciences, Nanjing, China
| |
Collapse
|