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Cao M, Wang F, Ma S, Geng H, Sun K. Recent advances on greenhouse gas emissions from wetlands: Mechanism, global warming potential, and environmental drivers. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2024; 355:124204. [PMID: 38788989 DOI: 10.1016/j.envpol.2024.124204] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/12/2024] [Revised: 05/06/2024] [Accepted: 05/21/2024] [Indexed: 05/26/2024]
Abstract
Greenhouse gas (GHG) emissions from wetlands have exacerbated global warming, attracting worldwide attention. However, the research process and development trends in this field remain unknown. Herein, 1865 papers related to wetlands GHG emissions published from January 2000 to December 2023 were selected, and CiteSpace and VOSviewer were used for bibliometric analysis to visually analyze the publications distribution, research authors, organizations and countries, core journal and keywords, and discussed the research progress, trends and hotspots in the fields. Over the past 24 years, the research has gone through three phases: the "embryonic" stage (2000-2006), the accumulation stage (2007-2014), and the acceleration stage (2015-2023). China has played a pivotal role in this domain, publishing the most papers and working closely with the United States, United Kingdom, Canada, Germany, and Australia. In addition, this study synthesized 311 field observations from 123 publications to analyze the variability in GHG emissions and their driving factors in four different types of natural wetlands. The results suggested that the average carbon dioxide (CO2), methane (CH4), and nitrous oxide (N2O) fluxes in different wetlands were significantly different. River wetlands exhibited the highest GHG fluxes, while marsh wetlands demonstrated greater global warming potential (GWP). The average CO2, CH4 and N2O fluxes were 60.41 mg m-2·h-1, 2.52 mg m-2·h-1 and 0.05 mg m-2·h-1, respectively. The GWP of Chinese natural wetlands was estimated as 648.72 Tg·CO2-eq·yr-1, and CH4 contributed the largest warming effect, accounting for 57.43%. Correlation analysis showed that geographical location, climate factors, and soil conditions collectively regulated GHG emissions from wetlands. The findings provide a new perspective on sustainable wetland management and reducing GHG emissions.
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Affiliation(s)
- Manman Cao
- School of Environment, Beijing Normal University, 19 Xinjiekouwai Street, 100875, Beijing, China
| | - Fei Wang
- School of Environment, Beijing Normal University, 19 Xinjiekouwai Street, 100875, Beijing, China.
| | - Shuai Ma
- School of Environment, Beijing Normal University, 19 Xinjiekouwai Street, 100875, Beijing, China
| | - Huanhuan Geng
- School of Energy & Environmental Engineering, University of Science and Technology Beijing, 30 Xueyuan Road, 100083, Beijing, China
| | - Ke Sun
- School of Environment, Beijing Normal University, 19 Xinjiekouwai Street, 100875, Beijing, China
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Sun C, Liu N, Song J, Chen L, Zhang Y, Wang X. High-Resolution Estimates of N 2O Emissions from Inland Waters and Wetlands in China. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2024; 58:8736-8747. [PMID: 38723264 DOI: 10.1021/acs.est.4c02229] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/22/2024]
Abstract
Inland waters (rivers, lakes, and reservoirs) and wetlands (marshes and coastal wetlands) represent large and continuous sources of nitrous oxide (N2O) emissions, in view of adequate biomass and anaerobic conditions. Considerable uncertainties remain in quantifying spatially explicit N2O emissions from aquatic systems, attributable to the limitations of models and a lack of comprehensive data sets. Herein, we conducted a synthesis of 1659 observations of N2O emission rates to determine the major environmental drivers across five aquatic systems. A framework for spatially explicit estimates of N2O emissions in China was established, employing a data-driven approach that upscaled from site-specific N2O fluxes to robust multiple-regression models. Results revealed the effectiveness of models incorporating soil organic carbon and water content for marshes and coastal wetlands, as well as water nitrate concentration and dissolved organic carbon for lakes, rivers, and reservoirs for predicting emissions. Total national N2O emissions from inland waters and wetlands were 1.02 × 105 t N2O yr-1, with contributions from marshes (36.33%), rivers (27.77%), lakes (25.27%), reservoirs (6.47%), and coastal wetlands (4.16%). Spatially, larger emissions occurred in the Songliao River Basin and Continental River Basin, primarily due to their substantial terrestrial biomass. This study offers a vital national inventory of N2O emissions from inland waters and wetlands in China, providing paradigms for the inventorying work in other countries and insights to formulate effective mitigation strategies for climate change.
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Affiliation(s)
- Cheng Sun
- Key Laboratory of Groundwater Resources and Environment Ministry of Education, Jilin University, Changchun, Jilin 130021, China
- Jilin Provincial Key Laboratory of Water Resources and Environment, Jilin University, Changchun ,Jilin 130021, China
- College of New Energy and Environment, Jilin University, Changchun, Jilin 130021, China
| | - Nuo Liu
- Key Laboratory of Groundwater Resources and Environment Ministry of Education, Jilin University, Changchun, Jilin 130021, China
- Jilin Provincial Key Laboratory of Water Resources and Environment, Jilin University, Changchun ,Jilin 130021, China
- College of New Energy and Environment, Jilin University, Changchun, Jilin 130021, China
| | - Junnian Song
- Key Laboratory of Groundwater Resources and Environment Ministry of Education, Jilin University, Changchun, Jilin 130021, China
- Jilin Provincial Key Laboratory of Water Resources and Environment, Jilin University, Changchun ,Jilin 130021, China
- College of New Energy and Environment, Jilin University, Changchun, Jilin 130021, China
- The Bartlett School of Sustainable Construction, University College London, London WC1E 7HB, U.K
| | - Lei Chen
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China
| | - Ying Zhang
- Key Laboratory of Groundwater Resources and Environment Ministry of Education, Jilin University, Changchun, Jilin 130021, China
- Jilin Provincial Key Laboratory of Water Resources and Environment, Jilin University, Changchun ,Jilin 130021, China
- College of New Energy and Environment, Jilin University, Changchun, Jilin 130021, China
| | - Xian'en Wang
- Key Laboratory of Groundwater Resources and Environment Ministry of Education, Jilin University, Changchun, Jilin 130021, China
- Jilin Provincial Key Laboratory of Water Resources and Environment, Jilin University, Changchun ,Jilin 130021, China
- College of New Energy and Environment, Jilin University, Changchun, Jilin 130021, China
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Ma Z, Lu M, Jin H, Sheng X, Wei H, Yang Q, Qi L, Huang J, Chen L, Dou X. Greenhouse gas emissions and environmental drivers in different natural wetland regions of China. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2023; 330:121754. [PMID: 37137407 DOI: 10.1016/j.envpol.2023.121754] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Revised: 04/28/2023] [Accepted: 04/29/2023] [Indexed: 05/05/2023]
Abstract
Wetlands sequestrate carbon at the highest rate than any other ecosystems on Earth. However, the spatial and temporal dynamics of GHGs emissions from the wetland ecosystems in China are still elusive. We synthesized 166 publications that contain 462 in situ measurements of GHGs emissions from the natural wetlands in China, and further analyzed the variability and the drivers of GHGs emissions in eight subdivisions of China's wetlands. The results show that the current studies are mainly concentrated in the estuaries, Sanjiang Plain, and Zoige wetlands. The average CO2 emissions, CH4 fluxes and N2O fluxes from Chinese wetlands were 218.84 mg·m-2·h-1, 1.95 mg·m-2·h-1 and 5.8 × 10-2 mg·m-2·h-1, respectively. The global warming potential (GWP) of China's wetlands was estimated to be 1881.36 TgCO2-eq·yr-1, with CO2 emissions contributing more than 65% to the GWP value. The combined GWP values of Qinghai-Tibet Plateau wetlands, coastal wetlands and northeastern wetlands account for 84.8% of GWP of China's wetlands. Correlation analysis showed that CO2 emissions increased with the increasing mean annual temperature, elevation, annual rainfall, and wetland water level, but decreased with soil pH. CH4 fluxes increased with the mean annual temperature and soil water content but decreased with the redox potential. This study analyzed the drivers of GHGs emissions from wetland ecosystems at the national scale, and GWP values of eight wetland subregions of China were comprehensively assessed. Our results are potentially useful for the global GHGs inventory, and can help assess the response of GHGs emissions of wetland ecosystem to environmental and climate change.
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Affiliation(s)
- Zhiheng Ma
- Key Laboratory of Soil Ecology and Health in Universities of Yunnan Province, School of Ecology and Environmental Sciences, Yunnan University, Kunming, 650500, PR China; State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China
| | - Meng Lu
- Key Laboratory of Soil Ecology and Health in Universities of Yunnan Province, School of Ecology and Environmental Sciences, Yunnan University, Kunming, 650500, PR China
| | - Hui Jin
- Key Laboratory of Soil Ecology and Health in Universities of Yunnan Province, School of Ecology and Environmental Sciences, Yunnan University, Kunming, 650500, PR China
| | - Xiongjie Sheng
- Key Laboratory of Soil Ecology and Health in Universities of Yunnan Province, School of Ecology and Environmental Sciences, Yunnan University, Kunming, 650500, PR China
| | - Hao Wei
- Key Laboratory of Soil Ecology and Health in Universities of Yunnan Province, School of Ecology and Environmental Sciences, Yunnan University, Kunming, 650500, PR China
| | - Qiong Yang
- Key Laboratory of Soil Ecology and Health in Universities of Yunnan Province, School of Ecology and Environmental Sciences, Yunnan University, Kunming, 650500, PR China
| | - Lanlan Qi
- Key Laboratory of Soil Ecology and Health in Universities of Yunnan Province, School of Ecology and Environmental Sciences, Yunnan University, Kunming, 650500, PR China
| | - Jingxin Huang
- Key Laboratory of Soil Ecology and Health in Universities of Yunnan Province, School of Ecology and Environmental Sciences, Yunnan University, Kunming, 650500, PR China; School of Energy and Environmental Science, Yunnan Normal University, Kunming, 650500, PR China
| | - Liding Chen
- Key Laboratory of Soil Ecology and Health in Universities of Yunnan Province, School of Ecology and Environmental Sciences, Yunnan University, Kunming, 650500, PR China; State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China; University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Xiaolin Dou
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China; University of Chinese Academy of Sciences, Beijing, 100049, China.
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