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Yan X, Han H, Li X, Rong X, Xia L, Yan X, Xia Y. Small water body significantly contributes to nitrous oxide emissions in China's aquaculture. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2024; 364:121472. [PMID: 38879968 DOI: 10.1016/j.jenvman.2024.121472] [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: 04/26/2024] [Revised: 06/06/2024] [Accepted: 06/10/2024] [Indexed: 06/18/2024]
Abstract
Aquaculture systems are expected to act as potential hotspots for nitrous oxide (N2O) emissions, largely attributed to substantial nutrient loading from aquafeed applications. However, the specific patterns and contributions of N2O fluxes from these systems to the global emissions inventory are not well characterized due to limited data. This study investigates the patterns of N2O flux across 127 freshwater systems in China to elucidate the role of aquaculture ponds and lakes/reservoirs in landscape N2O emission. Our findings show that the average N2O flux from aquaculture ponds was 3.63 times higher (28.73 μg N2O m-2 h-1) than that from non-aquaculture ponds. Additionally, the average N2O flux from aquaculture lakes/reservoirs (15.65 μg N2O m-2 h-1) increased 3.05 times compared to non-aquaculture lakes/reservoirs. The transition from non-aquaculture to aquaculture practices has resulted in a net annual increase of 7589 ± 2409 Mg N2O emissions in China's freshwater systems from 2003 to 2022, equivalent to 20% of total N2O emissions from China's inland water. Particularly, the robust negative regression relationship between N2O emission intensity and water area suggests that small ponds are hotspots of N2O emissions, a result of both elevated nutrient concentrations and more vigorous biogeochemical cycles. This indicates that N2O emissions from smaller aquaculture ponds are larger per unit area compared to equivalent larger water bodies. Our findings highlight that N2O emissions from aquaculture systems can not be proxied by those from natural water bodies, especially small water bodies exhibiting significant but largely unquantified N2O emissions. In the context of the rapid global expansion of aquaculture, this underscores the critical need to integrate aquaculture into global assessments of inland water N2O emissions to advance towards a low-carbon future.
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Affiliation(s)
- Xing Yan
- State Key Laboratory of Soil and Sustainable Agriculture, Changshu National Agro-Ecosystem Observation and Research Station, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, 210008, China; University of Chinese Academy of Sciences, Beijing, 100049, China; University of Chinese Academy of Sciences, Nanjing, 211135, China
| | - Haojie Han
- State Key Laboratory of Soil and Sustainable Agriculture, Changshu National Agro-Ecosystem Observation and Research Station, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, 210008, China; University of Chinese Academy of Sciences, Beijing, 100049, China; University of Chinese Academy of Sciences, Nanjing, 211135, China
| | - Xiaohan Li
- State Key Laboratory of Soil and Sustainable Agriculture, Changshu National Agro-Ecosystem Observation and Research Station, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, 210008, China; University of Chinese Academy of Sciences, Beijing, 100049, China; University of Chinese Academy of Sciences, Nanjing, 211135, China
| | - Xiangmin Rong
- College of Resources and Environment, Hunan Agricultural University, Changsha, 410128, China
| | - Longlong Xia
- State Key Laboratory of Soil and Sustainable Agriculture, Changshu National Agro-Ecosystem Observation and Research Station, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, 210008, China
| | - Xiaoyuan Yan
- State Key Laboratory of Soil and Sustainable Agriculture, Changshu National Agro-Ecosystem Observation and Research Station, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, 210008, China; University of Chinese Academy of Sciences, Nanjing, 211135, China
| | - Yongqiu Xia
- State Key Laboratory of Soil and Sustainable Agriculture, Changshu National Agro-Ecosystem Observation and Research Station, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, 210008, China; University of Chinese Academy of Sciences, Nanjing, 211135, China.
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Abulaiti A, She D, Pan Y, Shi Z, Hu L, Huang X, Shan J, Xia Y. Drainage ditches are significant sources of indirect N 2O emissions regulated by available carbon to nitrogen substrates in salt-affected farmlands. WATER RESEARCH 2024; 251:121164. [PMID: 38246078 DOI: 10.1016/j.watres.2024.121164] [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: 11/02/2023] [Revised: 01/15/2024] [Accepted: 01/16/2024] [Indexed: 01/23/2024]
Abstract
Agriculture is a main source of nitrous oxide (N2O) emissions. In agricultural systems, direct N2O emissions from nitrogen (N) addition to soils have been widely investigated, whereas indirect emissions from aquatic ecosystems such as ditches are poorly known, with insufficient data available to refine the IPCC emission factor. In this contribution, in situ N2O emissions from two ditch water‒air interfaces based on a diffusion model were investigated (almost once per month) from June 2021 to December 2022 in an intensive arable catchment with high N inputs and salt-affected conditions in the Qingtongxia Irrigation District, northwestern China. Our results implied that agricultural ditches (mean 148 μg N m-2 h-1) were significant sources for N2O emissions, and were approximately 2.1 times greater than those of the Yellow River directly connected to ditches. Agronomic management strategies increased N2O fluxes in summer, while precipitation events decreased N2O fluxes. Agronomic management strategies, including fertilization (294--540 kg N hm-2) and irrigation on farmland, resulted in enhanced diffuse N loads in drain water, whereas precipitation diluted the dissolved N2O concentration in ditches and accelerated the ditch flow rate, leading to changes in the residence time of N-containing substances in water. The spatial analysis showed that N2O fluxes (202-233 μg N m-2 h-1) in the headstream and upstream regions of ditches due to livestock and aquaculture pollution sources were relatively high compared to those in the midstream and downstream regions (100-114 μg N m-2 h-1). Furthermore, high available carbon (C) relative to N reduced N2O fluxes at low DOC:DIN ratio levels by inhibiting nitrification. Spatiotemporal variations in the N2O emission factor (EF5) across ditches with higher N resulted in lower EF5 and a large coefficient of variation (CV) range. EF5 was 0.0011 for the ditches in this region, while the EF5 (0.0025) currently adopted by the IPCC is relatively high. The EF5 variation was strongly controlled by the DOC:DIN ratio, TN, and NO3--N, while salinity was also a nonnegligible factor regulating the EF5 variation. The regression model incorporating NO3--N and the DOC:DIN ratio could greatly enhance the predictions of EF5 for agricultural ditches. Our study filled a key knowledge gap regarding EF5 from agricultural ditches in salt-affected farmland and offered a field investigation for refining the EF5 currently used by the IPCC.
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Affiliation(s)
- Alimu Abulaiti
- College of Agricultural Science and Engineering, Hohai University, Nanjing 211100, China; Jiangsu Province Engineering Research Center for Agricultural Soil‒Water Efficient Utilization, Carbon Sequestration and Emission Reduction, Nanjing 211100, China
| | - Dongli She
- College of Agricultural Science and Engineering, Hohai University, Nanjing 211100, China; College of Soil and Water Conservation, Hohai University, Changzhou 213200, China.
| | - Yongchun Pan
- College of Agricultural Science and Engineering, Hohai University, Nanjing 211100, China; Jiangsu Province Engineering Research Center for Agricultural Soil‒Water Efficient Utilization, Carbon Sequestration and Emission Reduction, Nanjing 211100, China
| | - Zhenqi Shi
- College of Agricultural Science and Engineering, Hohai University, Nanjing 211100, China; Jiangsu Province Engineering Research Center for Agricultural Soil‒Water Efficient Utilization, Carbon Sequestration and Emission Reduction, Nanjing 211100, China
| | - Lei Hu
- Jiangsu Surveying and Design Institute of Water Resources Co., Ltd., Yangzhou 225002, China
| | - Xuan Huang
- College of Agricultural Science and Engineering, Hohai University, Nanjing 211100, China; Jiangsu Province Engineering Research Center for Agricultural Soil‒Water Efficient Utilization, Carbon Sequestration and Emission Reduction, Nanjing 211100, China
| | - Jun Shan
- Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China
| | - Yongqiu Xia
- Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China
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Li Y, Tian H, Yao Y, Shi H, Bian Z, Shi Y, Wang S, Maavara T, Lauerwald R, Pan S. Increased nitrous oxide emissions from global lakes and reservoirs since the pre-industrial era. Nat Commun 2024; 15:942. [PMID: 38296943 PMCID: PMC10830459 DOI: 10.1038/s41467-024-45061-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2023] [Accepted: 01/11/2024] [Indexed: 02/02/2024] Open
Abstract
Lentic systems (lakes and reservoirs) are emission hotpots of nitrous oxide (N2O), a potent greenhouse gas; however, this has not been well quantified yet. Here we examine how multiple environmental forcings have affected N2O emissions from global lentic systems since the pre-industrial period. Our results show that global lentic systems emitted 64.6 ± 12.1 Gg N2O-N yr-1 in the 2010s, increased by 126% since the 1850s. The significance of small lentic systems on mitigating N2O emissions is highlighted due to their substantial emission rates and response to terrestrial environmental changes. Incorporated with riverine emissions, this study indicates that N2O emissions from global inland waters in the 2010s was 319.6 ± 58.2 Gg N yr-1. This suggests a global emission factor of 0.051% for inland water N2O emissions relative to agricultural nitrogen applications and provides the country-level emission factors (ranging from 0 to 0.341%) for improving the methodology for national greenhouse gas emission inventories.
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Affiliation(s)
- Ya Li
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China
- International Center for Climate and Global Change Research, Auburn University, Auburn, AL, 36849, USA
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Hanqin Tian
- Center for Earth System Science and Global Sustainability, Schiller Institute for Integrated Science and Society, Department of Earth and Environmental Sciences, Boston College, Chestnut Hill, MA, 02467, USA.
| | - Yuanzhi Yao
- School of Geographic Sciences, East China Normal University, Shanghai, 610000, China
| | - Hao Shi
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China
| | - Zihao Bian
- International Center for Climate and Global Change Research, Auburn University, Auburn, AL, 36849, USA
- School of Geography, Nanjing Normal University, Nanjing, 210023, China
| | - Yu Shi
- International Center for Climate and Global Change Research, Auburn University, Auburn, AL, 36849, USA
- College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China
| | - Siyuan Wang
- 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
| | - Taylor Maavara
- School of Geography, University of Leeds, Leeds, LS2 9JT, UK
| | - Ronny Lauerwald
- Université Paris-Saclay, INRAE, AgroParisTech, UMR ECOSYS, Palaiseau, 91120, France
| | - Shufen Pan
- International Center for Climate and Global Change Research, Auburn University, Auburn, AL, 36849, USA
- Center for Earth System Science and Global Sustainability, Schiller Institute for Integrated Science and Society, Department of Earth and Environmental Sciences, Boston College, Chestnut Hill, MA, 02467, USA
- Department of Engineering, Boston College, Chestnut Hill, MA, 02467, USA
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Wu W, Niu X, Yan Z, Li S, Comer-Warner SA, Tian H, Li SL, Zou J, Yu G, Liu CQ. Agricultural ditches are hotspots of greenhouse gas emissions controlled by nutrient input. WATER RESEARCH 2023; 242:120271. [PMID: 37399689 DOI: 10.1016/j.watres.2023.120271] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Revised: 06/05/2023] [Accepted: 06/24/2023] [Indexed: 07/05/2023]
Abstract
Agricultural ditches are pervasive in agricultural areas and are potential greenhouse gas (GHG) hotspots, since they directly receive abundant nutrients from neighboring farmlands. However, few studies measure GHG concentrations or fluxes in this particular water course, likely resulting in underestimations of GHG emissions from agricultural regions. Here we conducted a one-year field study to investigate the GHG concentrations and fluxes from typical agricultural ditch systems, which included four different types of ditches in an irrigation district located in the North China Plain. The results showed that almost all the ditches were large GHG sources. The mean fluxes were 333 μmol m-2 h-1 for CH4, 7.1 mmol m-2 h-1 for CO2, and 2.4 μmol m-2 h-1 for N2O, which were approximately 12, 5, and 2 times higher, respectively, than that in the river connecting to the ditch systems. Nutrient input was the primary driver stimulating GHG production and emissions, resulting in GHG concentrations and fluxes increasing from the river to ditches adjacent to farmlands, which potentially received more nutrients. Nevertheless, the ditches directly connected to farmlands showed lower GHG concentrations and fluxes compared to the ditches adjacent to farmlands, possibly due to seasonal dryness and occasional drainage. All the ditches covered approximately 3.3% of the 312 km2 farmland area in the study district, and the total GHG emission from the ditches in this area was estimated to be 26.6 Gg CO2-eq yr-1, with 17.5 Gg CO2, 0.27 Gg CH4, and 0.006 Gg N2O emitted annually. Overall, this study demonstrated that agricultural ditches were hotspots of GHG emissions, and future GHG estimations should incorporate this ubiquitous but underrepresented water course.
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Affiliation(s)
- Wenxin Wu
- Institute of Surface-Earth System Science, School of Earth System Science, Tianjin University, Tianjin 300072, China
| | - Xueqi Niu
- Institute of Surface-Earth System Science, School of Earth System Science, Tianjin University, Tianjin 300072, China
| | - Zhifeng Yan
- Institute of Surface-Earth System Science, School of Earth System Science, Tianjin University, Tianjin 300072, China; Critical Zone Observatory of Bohai Coastal Region, Tianjin Key Laboratory of Earth Critical Zone Science and Sustainable Development in Bohai Rim, Tianjin University, Tianjin 300072, China.
| | - Siyue Li
- Institute of Changjiang Water Environment and Ecological Security, School of Environmental Ecology and Biological Engineering, Key Laboratory for Green Chemical Process of Ministry of Education, Engineering Research Center of Phosphorus Resources Development and Utilization of Ministry of Education, Hubei Key Laboratory of Novel Reactor and Green Chemical Technology, Wuhan Institute of Technology, Wuhan 430205, China
| | - Sophie A Comer-Warner
- School of Geography, Earth and Environmental Science, University of Birmingham, Birmingham B15 2TT, United Kingdom
| | - Hanqin Tian
- Department of Earth and Environmental Sciences, Boston College, Schiller Institute for Integrated Science and Society, Chestnut Hill, MA 02467, United States
| | - Si-Liang Li
- Institute of Surface-Earth System Science, School of Earth System Science, Tianjin University, Tianjin 300072, China; Critical Zone Observatory of Bohai Coastal Region, Tianjin Key Laboratory of Earth Critical Zone Science and Sustainable Development in Bohai Rim, Tianjin University, Tianjin 300072, China
| | - Jianwen Zou
- Key Laboratory of Low-carbon and Green Agriculture in Southeastern China, Ministry of Agriculture and Rural Affairs, College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing, China
| | - Guirui Yu
- Institute of Surface-Earth System Science, School of Earth System Science, Tianjin University, Tianjin 300072, China; Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
| | - Cong-Qiang Liu
- Institute of Surface-Earth System Science, School of Earth System Science, Tianjin University, Tianjin 300072, China; Critical Zone Observatory of Bohai Coastal Region, Tianjin Key Laboratory of Earth Critical Zone Science and Sustainable Development in Bohai Rim, Tianjin University, Tianjin 300072, China; Haihe Laboratory of Sustainable Chemical Transformations, Tianjin 300072, China
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Nishina K, Melling L, Toyoda S, Itoh M, Terajima K, Waili JWB, Wong GX, Kiew F, Aeries EB, Hirata R, Takahashi Y, Onodera T. Dissolved N 2O concentrations in oil palm plantation drainage in a peat swamp of Malaysia. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 872:162062. [PMID: 36804973 DOI: 10.1016/j.scitotenv.2023.162062] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/10/2022] [Revised: 01/30/2023] [Accepted: 02/02/2023] [Indexed: 06/18/2023]
Abstract
Oil palm plantations in Southeast Asia are the largest supplier of palm oil products and have been rapidly expanding in the last three decades even in peat-swamp areas. Oil palm plantations on peat ecosystems have a unique water management system that lowers the water table and, thus, may yield indirect N2O emissions from the peat drainage system. We conducted two seasons of spatial monitoring for the dissolved N2O concentrations in the drainage and adjacent rivers of palm oil plantations on peat swamps in Sarawak, Malaysia, to evaluate the magnitude of indirect N2O emissions from this ecosystem. In both the dry and wet seasons, the mean and median dissolved N2O concentrations exhibited over-saturation in the drainage water, i.e., the oil palm plantation drainage may be a source of N2O to the atmosphere. In the wet season, the spatial distribution of dissolved N2O showed bimodal peaks in both the unsaturated and over-saturated concentrations. The bulk δ15N of dissolved N2O was higher than the source of inorganic N in the oil palm plantation (i.e., N fertilizer and soil organic nitrogen) during both seasons. An isotopocule analysis of the dissolved N2O suggested that denitrification was a major source of N2O, followed by N2O reduction processes that occurred in the drainage water. The δ15N and site preference mapping analysis in dissolved N2O revealed that a significant proportion of the N2O produced in peat and drainage is reduced to N2 before being released into the atmosphere.
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Affiliation(s)
- Kazuya Nishina
- Earth System Division, National Institute for Environmental Studies, 16-2, Onogawa, Tsukuba, Ibaraki 305-8506, Japan.
| | - Lulie Melling
- Sarawak Tropical Peat Research Institute, Lot 6035, Kota Samarahan Expressway, Kuching, Sarawak 94300, Malaysia
| | - Sakae Toyoda
- Department of Chemical Science and Engineering, School of Materials and Chemical Technology, Tokyo Institute of Technology, 4259 Nagatsuta, Midori-ku, Yokohama, Kanagawa 226-8502, Japan
| | - Masayuki Itoh
- School of Human Science and Environment, University of Hyogo, 1-1-12, Shinzaike-honcho, Himeji, Hyogo 670-0092, Japan
| | - Kotaro Terajima
- Department of Chemical Science and Engineering, School of Materials and Chemical Technology, Tokyo Institute of Technology, 4259 Nagatsuta, Midori-ku, Yokohama, Kanagawa 226-8502, Japan
| | - Joseph W B Waili
- Sarawak Tropical Peat Research Institute, Lot 6035, Kota Samarahan Expressway, Kuching, Sarawak 94300, Malaysia
| | - Guan X Wong
- Sarawak Tropical Peat Research Institute, Lot 6035, Kota Samarahan Expressway, Kuching, Sarawak 94300, Malaysia
| | - Frankie Kiew
- Sarawak Tropical Peat Research Institute, Lot 6035, Kota Samarahan Expressway, Kuching, Sarawak 94300, Malaysia
| | - Edward B Aeries
- Sarawak Tropical Peat Research Institute, Lot 6035, Kota Samarahan Expressway, Kuching, Sarawak 94300, Malaysia
| | - Ryuichi Hirata
- Earth System Division, National Institute for Environmental Studies, 16-2, Onogawa, Tsukuba, Ibaraki 305-8506, Japan
| | - Yoshiyuki Takahashi
- Earth System Division, National Institute for Environmental Studies, 16-2, Onogawa, Tsukuba, Ibaraki 305-8506, Japan
| | - Takashi Onodera
- Earth System Division, National Institute for Environmental Studies, 16-2, Onogawa, Tsukuba, Ibaraki 305-8506, Japan
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Huo P, Liu Y, Xu C, Zhang X, Jia H, Gao P. Characteristics of dissolved N 2O and indirect N 2O emission factor in the groundwater of high nitrate leaching areas in northwest China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 868:161641. [PMID: 36649766 DOI: 10.1016/j.scitotenv.2023.161641] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Revised: 12/22/2022] [Accepted: 01/12/2023] [Indexed: 06/17/2023]
Abstract
Numerous studies have demonstrated high concentrations of dissolved N2O and indirect N2O emission factors in groundwater affected by agriculture. However, the characteristics of seasonal and vertical dimensional difference in groundwater in high nitrate leaching areas are relatively lacking. We monitored the concentrations of dissolved and wellhead N2O of 23 groundwater wells over a one year period to understand the seasonal characteristics of dissolved and wellhead N2O concentrations and indirect N2O emission factors (EF5) of the shallow and deep groundwater in a high nitrogen leaching area and analyze the reasons for their differences. The mean dissolved N2O concentration in groundwater was 9.71 (9.03) μg/L, which was 1.5-fold higher during the wet season relative to the dry season. Furthermore, the leaching of soil N2O caused by rainfall and irrigation could be a pivotal factor affecting seasonal variation in the dissolved N2O. Shallow wells were found to have higher dissolved and wellhead N2O concentrations compared with deep wells in all seasons. The low wellhead N2O concentrations during the dry season were attributed to the seasonal decrease of the groundwater table and dissolved N2O concentrations. We concluded that indirect N2O emission factors did not vary in the vertical dimension but were higher during the wet season than that during the dry season. In addition, the mean indirect N2O emission factor in the groundwater was 0.025 %, which was one order of magnitude below the current IPCC value (0.25 %). Thus, we proposed that such a low indirect N2O emissions factor could imply a low indirect N2O emission potential in groundwater with high dissolved oxygen and nitrogen loads. Our study further indicated that seasonal differences in dissolved N2O concentrations and indirect N2O emission factors should be considered when estimating the potential emissions of dissolved N2O in groundwater.
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Affiliation(s)
- Pan Huo
- College of Natural Resources and Environment, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Yike Liu
- College of Natural Resources and Environment, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Chunyan Xu
- College of Natural Resources and Environment, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Xinyu Zhang
- College of Natural Resources and Environment, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Haoxin Jia
- College of Natural Resources and Environment, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Pengcheng Gao
- College of Natural Resources and Environment, Northwest A&F University, Yangling, Shaanxi 712100, China.
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Wang J, Wang G, Zhang S, Xin Y, Jiang C, Liu S, He X, McDowell WH, Xia X. Indirect nitrous oxide emission factors of fluvial networks can be predicted by dissolved organic carbon and nitrate from local to global scales. GLOBAL CHANGE BIOLOGY 2022; 28:7270-7285. [PMID: 36176238 DOI: 10.1111/gcb.16458] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Revised: 09/23/2022] [Accepted: 09/23/2022] [Indexed: 06/16/2023]
Abstract
Streams and rivers are important sources of nitrous oxide (N2 O), a powerful greenhouse gas. Estimating global riverine N2 O emissions is critical for the assessment of anthropogenic N2 O emission inventories. The indirect N2 O emission factor (EF5r ) model, one of the bottom-up approaches, adopts a fixed EF5r value to estimate riverine N2 O emissions based on IPCC methodology. However, the estimates have considerable uncertainty due to the large spatiotemporal variations in EF5r values. Factors regulating EF5r are poorly understood at the global scale. Here, we combine 4-year in situ observations across rivers of different land use types in China, with a global meta-analysis over six continents, to explore the spatiotemporal variations and controls on EF5r values. Our results show that the EF5r values in China and other regions with high N loads are lower than those for regions with lower N loads. Although the global mean EF5r value is comparable to the IPCC default value, the global EF5r values are highly skewed with large variations, indicating that adopting region-specific EF5r values rather than revising the fixed default value is more appropriate for the estimation of regional and global riverine N2 O emissions. The ratio of dissolved organic carbon to nitrate (DOC/NO3 - ) and NO3 - concentration are identified as the dominant predictors of region-specific EF5r values at both regional and global scales because stoichiometry and nutrients strictly regulate denitrification and N2 O production efficiency in rivers. A multiple linear regression model using DOC/NO3 - and NO3 - is proposed to predict region-specific EF5r values. The good fit of the model associated with easily obtained water quality variables allows its widespread application. This study fills a key knowledge gap in predicting region-specific EF5r values at the global scale and provides a pathway to estimate global riverine N2 O emissions more accurately based on IPCC methodology.
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Affiliation(s)
- Junfeng Wang
- Key Laboratory of Water and Sediment Sciences of Ministry of Education, State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing, China
| | - Gongqin Wang
- Key Laboratory of Water and Sediment Sciences of Ministry of Education, State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing, China
- Hebei Key Laboratory of Close-to-Nature Restoration Technology of Wetlands, School of Eco-Environment, Hebei University, Baoding, Hebei, China
| | - Sibo Zhang
- Guangdong Provincial Key Laboratory of Water Quality Improvement and Ecological Restoration for Watersheds, Institute of Environmental and Ecological Engineering, Guangdong University of Technology, Guangzhou, China
| | - Yuan Xin
- Key Laboratory of Water and Sediment Sciences of Ministry of Education, State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing, China
| | - Chenrun Jiang
- Key Laboratory of Water and Sediment Sciences of Ministry of Education, State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing, China
| | - Shaoda Liu
- Key Laboratory of Water and Sediment Sciences of Ministry of Education, State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing, China
| | - Xiaojia He
- The Administrative Center for China's Agenda 21, Beijing, China
| | - William H McDowell
- Department of Natural Resources and the Environment, University of New Hampshire, Durham, New Hampshire, USA
| | - Xinghui Xia
- Key Laboratory of Water and Sediment Sciences of Ministry of Education, State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing, China
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Yang P, Tang KW, Tong C, Lai DYF, Zhang L, Lin X, Yang H, Tan L, Zhang Y, Hong Y, Tang C, Lin Y. Conversion of coastal wetland to aquaculture ponds decreased N 2O emission: Evidence from a multi-year field study. WATER RESEARCH 2022; 227:119326. [PMID: 36368085 DOI: 10.1016/j.watres.2022.119326] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Revised: 10/18/2022] [Accepted: 11/03/2022] [Indexed: 06/16/2023]
Abstract
Land reclamation is a major threat to the world's coastal wetlands, and it may influence the biogeochemical cycling of nitrogen in coastal regions. Conversion of coastal marshes into aquaculture ponds is common in the Asian Pacific region, but its impacts on the production and emission of nitrogen greenhouse gases remain poorly understood. In this study, we compared N2O emission from a brackish marsh and converted shrimp aquaculture ponds in the Shanyutan wetland, the Min River Estuary in Southeast China over a three-year period. We also measured sediment and porewater properties, relevant functional gene abundance, sediment N2O production potential and denitrification potential in the two habitats. Results indicated that the pond sediment had lower N-substrate availability, lower ammonia oxidation (AOA and comammox Nitrospira amoA), nitrite reduction (nirK and nirS) and nitrous oxide reduction (nosZ Ⅰ and nosZ Ⅱ) gene abundance and lower N2O production and denitrification potentials than in marsh sediments. Consequently, N2O emission fluxes from the aquaculture ponds (range 5.4-251.8 μg m-2 h-1) were significantly lower than those from the marsh (12.6-570.7 μg m-2 h-1). Overall, our results show that conversion from marsh to shrimp aquaculture ponds in the Shanyutan wetland may have diminished nutrient input from the catchment, impacted the N-cycling microbial community and lowered N2O production capacity of the sediment, leading to lower N2O emissions. Better post-harvesting management of pond water and sediment may further mitigate N2O emissions caused by the aquaculture operation.
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Affiliation(s)
- Ping Yang
- School of Geographical Sciences, Fujian Normal University, Fuzhou 350007, China; Key Laboratory of Humid Subtropical Eco-geographical Process of Ministry of Education, Fujian Normal University, Fuzhou 350007, China.
| | - Kam W Tang
- Department of Biosciences, Swansea University, Swansea SA2 8PP, United Kingdom
| | - Chuan Tong
- School of Geographical Sciences, Fujian Normal University, Fuzhou 350007, China; Key Laboratory of Humid Subtropical Eco-geographical Process of Ministry of Education, Fujian Normal University, Fuzhou 350007, China.
| | - Derrick Y F Lai
- Department of Geography and Resource Management, The Chinese University of Hong Kong, Hong Kong, China
| | - Linhai Zhang
- School of Geographical Sciences, Fujian Normal University, Fuzhou 350007, China; Key Laboratory of Humid Subtropical Eco-geographical Process of Ministry of Education, Fujian Normal University, Fuzhou 350007, China
| | - Xiao Lin
- School of Geographical Sciences, Fujian Normal University, Fuzhou 350007, China; Key Laboratory of Humid Subtropical Eco-geographical Process of Ministry of Education, Fujian Normal University, Fuzhou 350007, China
| | - Hong Yang
- College of Environmental Science and Engineering, Fujian Normal University, Fuzhou 350007, China; Department of Geography and Environmental Science, University of Reading, Reading RG6 6AB, United Kingdom
| | - Lishan Tan
- State Key Laboratory of Estuarine and Coastal Research, East China Normal University, Shanghai, China
| | - Yifei Zhang
- School of Geographical Sciences, Fujian Normal University, Fuzhou 350007, China
| | - Yan Hong
- School of Geographical Sciences, Fujian Normal University, Fuzhou 350007, China
| | - Chen Tang
- School of Geographical Sciences, Fujian Normal University, Fuzhou 350007, China
| | - Yongxin Lin
- School of Geographical Sciences, Fujian Normal University, Fuzhou 350007, China; Key Laboratory of Humid Subtropical Eco-geographical Process of Ministry of Education, Fujian Normal University, Fuzhou 350007, China.
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9
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Zheng Y, Wu S, Xiao S, Yu K, Fang X, Xia L, Wang J, Liu S, Freeman C, Zou J. Global methane and nitrous oxide emissions from inland waters and estuaries. GLOBAL CHANGE BIOLOGY 2022; 28:4713-4725. [PMID: 35560967 DOI: 10.1111/gcb.16233] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Accepted: 04/24/2022] [Indexed: 06/15/2023]
Abstract
Inland waters (rivers, reservoirs, lakes, ponds, streams) and estuaries are significant emitters of methane (CH4 ) and nitrous oxide (N2 O) to the atmosphere, while global estimates of these emissions have been hampered due to the lack of a worldwide comprehensive data set of CH4 and N2 O flux components. Here, we synthesize 2997 in-situ flux or concentration measurements of CH4 and N2 O from 277 peer-reviewed publications to estimate global CH4 and N2 O emissions from inland waters and estuaries. Inland waters including rivers, reservoirs, lakes, and streams together release 95.18 Tg CH4 year-1 (ebullition plus diffusion) and 1.48 Tg N2 O year-1 (diffusion) to the atmosphere, yielding an overall CO2 -equivalent emission total of 3.06 Pg CO2 year-1 . The estimate of CH4 and N2 O emissions represents roughly 60% of CO2 emissions (5.13 Pg CO2 year-1 ) from these four inland aquatic systems, among which lakes act as the largest emitter for both CH4 and N2 O. Ebullition showed as a dominant flux component of CH4 , contributing up to 62%-84% of total CH4 fluxes across all inland waters. Chamber-derived CH4 emission rates are significantly greater than those determined by diffusion model-based methods for commonly capturing of both diffusive and ebullitive fluxes. Water dissolved oxygen (DO) showed as a dominant factor among all variables to influence both CH4 (diffusive and ebullitive) and N2 O fluxes from inland waters. Our study reveals a major oversight in regional and global CH4 budgets from inland waters, caused by neglecting the dominant role of ebullition pathways in those emissions. The estimated indirect N2 O EF5 values suggest that a downward refinement is required in current IPCC default EF5 values for inland waters and estuaries. Our findings further indicate that a comprehensive understanding of the magnitude and patterns of CH4 and N2 O emissions from inland waters and estuaries is essential in defining the way of how these aquatic systems will shape our climate.
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Affiliation(s)
- Yajing Zheng
- Key Laboratory of Low-carbon and Green Agriculture in Southeastern China, Ministry of Agriculture and Rural Affairs, College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing, China
| | - Shuang Wu
- Key Laboratory of Low-carbon and Green Agriculture in Southeastern China, Ministry of Agriculture and Rural Affairs, College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing, China
| | - Shuqi Xiao
- Key Laboratory of Low-carbon and Green Agriculture in Southeastern China, Ministry of Agriculture and Rural Affairs, College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing, China
| | - Kai Yu
- Key Laboratory of Low-carbon and Green Agriculture in Southeastern China, Ministry of Agriculture and Rural Affairs, College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing, China
| | - Xiantao Fang
- Key Laboratory of Low-carbon and Green Agriculture in Southeastern China, Ministry of Agriculture and Rural Affairs, College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing, China
| | - Longlong Xia
- Institute of Meteorology and Climate Research, Atmospheric Environmental Research, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
| | - Jinyang Wang
- Key Laboratory of Low-carbon and Green Agriculture in Southeastern China, Ministry of Agriculture and Rural Affairs, College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing, China
- Jiangsu Key Laboratory of Low Carbon Agriculture and GHGs Mitigation, Nanjing, China
| | - Shuwei Liu
- Key Laboratory of Low-carbon and Green Agriculture in Southeastern China, Ministry of Agriculture and Rural Affairs, College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing, China
- Jiangsu Key Laboratory of Low Carbon Agriculture and GHGs Mitigation, Nanjing, China
- Jiangsu Key Lab and Engineering Center for Solid Organic Waste Utilization, Jiangsu Collaborative Innovation Center for Solid Organic Waste Resource Utilization, Nanjing, China
| | - Chris Freeman
- School of Natural Sciences, Bangor University, Bangor, UK
| | - Jianwen Zou
- Key Laboratory of Low-carbon and Green Agriculture in Southeastern China, Ministry of Agriculture and Rural Affairs, College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing, China
- Jiangsu Key Laboratory of Low Carbon Agriculture and GHGs Mitigation, Nanjing, China
- Jiangsu Key Lab and Engineering Center for Solid Organic Waste Utilization, Jiangsu Collaborative Innovation Center for Solid Organic Waste Resource Utilization, Nanjing, China
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10
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Yang P, Luo L, Tang KW, Lai DYF, Tong C, Hong Y, Zhang L. Environmental drivers of nitrous oxide emission factor for a coastal reservoir and its catchment areas in southeastern China. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2022; 294:118568. [PMID: 34838712 DOI: 10.1016/j.envpol.2021.118568] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/14/2021] [Revised: 11/19/2021] [Accepted: 11/20/2021] [Indexed: 06/13/2023]
Abstract
While Asia is projected to be one of the major nitrous oxide (N2O) sources in the coming decades, a more accurate assessment of N2O budget has been hampered by low data resolution and poorly constrained emission factor (EF). Since urbanized coastal reservoirs receive high nitrogen loads from diverse sources across a heterogeneous landscape, the use of a single fixed EF may lead to large errors in N2O assessment. In this study, we conducted high spatial resolution sampling of dissolved N2O, nitrate-nitrogen (NO3--N) and other physico-chemical properties of surface water in Wenwusha Reservoir and other types of water bodies (river, drainage channels, and aquaculture ponds) in its catchment areas in southeastern China between November 2018 and June 2019. The empirically derived EF (calculated as N2O-N:NO3--N) for the reservoir showed considerable spatial variations, with a 10-fold difference ranging from 0.8 × 10-3 to 8.8 × 10-3. The average EF varied significantly among the four types of water bodies in the following descending order: aquaculture ponds > river > drainage channels > reservoir. Across all the water bodies, the mean EF in summer was 1.8-3.5 and 1.7-2.8 fold higher than that in autumn and spring, respectively, owing to the elevated water temperature. Overall, our derived EF deviated considerably from the IPCC default value, which implied that the use of default EF could result in over- or under-estimation of N2O emissions by up to 42%. We developed a multiple regression model that could explain 82% of the variance in EF based on water temperature and the ratio between dissolved organic carbon and nitrate-nitrogen (p < 0.001), which could be used to improve the estimate of EF for assessing N2O emission from coastal reservoirs and other similar environments.
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Affiliation(s)
- Ping Yang
- School of Geographical Sciences, Fujian Normal University, Fuzhou 350007, PR China; Key Laboratory of Humid Subtropical Eco-geographical Process of Ministry of Education, Fujian Normal University, Fuzhou, 350007, PR China.
| | - Liangjuan Luo
- School of Geographical Sciences, Fujian Normal University, Fuzhou 350007, PR China; Key Laboratory of Humid Subtropical Eco-geographical Process of Ministry of Education, Fujian Normal University, Fuzhou, 350007, PR China
| | - Kam W Tang
- Department of Biosciences, Swansea University, Swansea SA2 8PP, UK
| | - Derrick Y F Lai
- Department of Geography and Resource Management, The Chinese University of Hong Kong, Hong Kong, China
| | - Chuan Tong
- School of Geographical Sciences, Fujian Normal University, Fuzhou 350007, PR China; Key Laboratory of Humid Subtropical Eco-geographical Process of Ministry of Education, Fujian Normal University, Fuzhou, 350007, PR China
| | - Yan Hong
- School of Geographical Sciences, Fujian Normal University, Fuzhou 350007, PR China
| | - Linhai Zhang
- School of Geographical Sciences, Fujian Normal University, Fuzhou 350007, PR China; Key Laboratory of Humid Subtropical Eco-geographical Process of Ministry of Education, Fujian Normal University, Fuzhou, 350007, PR China
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11
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Yang P, Huang J, Tan L, Tong C, Jin B, Hu B, Gao C, Yuan J, Lai DYF, Yang H. Large variations in indirect N 2O emission factors (EF 5) from coastal aquaculture systems in China from plot to regional scales. WATER RESEARCH 2021; 200:117208. [PMID: 34048983 DOI: 10.1016/j.watres.2021.117208] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/05/2021] [Revised: 04/01/2021] [Accepted: 04/26/2021] [Indexed: 06/12/2023]
Abstract
Aquaculture ponds are important anthropogenic sources of nitrous oxide (N2O). Direct N2O emissions arising from feed application to ponds have been widely investigated, but indirect emissions from N2O production from residual feeds in pond water are much less understood and characterized to refine the IPCC emission factor. In this study, we determined the concentrations and spatiotemporal variations of dissolved N2O and NO3--N in situ in three aquaculture ponds at the Min River Estuary in southeastern China during the culture period over two years, and calculated the indirect N2O emission factor (EF5) for aquaculture ponds using the N2O-N/NO3--N mass ratio methodology. Our results indicated that the EF5 values in the ponds over the culture period ranged between 0.0007 and 0.0543, with a clear seasonal pattern which closely followed that of the DOC:NO3-N ratio. We also observed significant spatial variations in EF5 among the three ponds, which could be attributed to the difference in feed conversion rate. In addition, we assessed the EF5 values from aquaculture ponds in five regions of the Chinese coastline across the latitudinal gradient from the tropical to the temperate zones. The average EF5 value from aquaculture ponds across the five coastal regions was 0.0093±0.0024, which was approximately 3.7 times of the IPCC default value for rivers and estuaries (0.0025). Moreover, the EF5 values demonstrated considerable spatial variations across these coastal regions with a coefficient of variation of 59%, which were largely related to the difference in water salinity. Our findings filled a key knowledge gap about the indirect N2O emission factor from aquaculture ponds, and provided field evidence for the refinement of EF5 value currently adopted by IPCC in the national greenhouse gas inventory.
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Affiliation(s)
- Ping Yang
- Key Laboratory of Humid Subtropical Eco-geographical Process of Ministry of Education, Fujian Normal University, Fuzhou 350007, P.R. China; School of Geographical Sciences, Fujian Normal University, Fuzhou 350007, P.R. China
| | - Jiafang Huang
- Key Laboratory of Humid Subtropical Eco-geographical Process of Ministry of Education, Fujian Normal University, Fuzhou 350007, P.R. China; School of Geographical Sciences, Fujian Normal University, Fuzhou 350007, P.R. China
| | - Lishan Tan
- Key Laboratory of Humid Subtropical Eco-geographical Process of Ministry of Education, Fujian Normal University, Fuzhou 350007, P.R. China; School of Geographical Sciences, Fujian Normal University, Fuzhou 350007, P.R. China; School of Geographical Sciences, East China Normal University, Shanghai 200241, P.R. China
| | - Chuan Tong
- Key Laboratory of Humid Subtropical Eco-geographical Process of Ministry of Education, Fujian Normal University, Fuzhou 350007, P.R. China; School of Geographical Sciences, Fujian Normal University, Fuzhou 350007, P.R. China.
| | - Baoshi Jin
- School of Geographical Sciences, Fujian Normal University, Fuzhou 350007, P.R. China; College of Resources and Environment Science, Anqing Normal University, Anqing, 246011, P.R. China
| | - Beibei Hu
- School of Geographic and Environmental Sciences, Tianjin Normal University, Tianjin 300387, P.R. China
| | - Changjun Gao
- Guangdong Academy of Forestry, Guangdong Provincial Key Laboratory of Silviculture, Protection and Utilization, Guangzhou 510520, P.R. China
| | - Junji Yuan
- State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, P.R. China
| | - Derrick Y F Lai
- Department of Geography and Resource Management, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR, P.R. China.
| | - Hong Yang
- College of Environmental Science and Engineering, Fujian Normal University, Fuzhou 350007, P.R. China; Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control (AEMPC), School of Environmental Science and Engineering, Nanjing University of Information Science & Technology, 219 Ningliu Road, Nanjing 210044, China; Department of Geography and Environmental Science, University of Reading, Whiteknights, Reading, RG6 6AB, UK.
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12
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Grossel A, Bourennane H, Ayzac A, Pasquier C, Hénault C. Indirect emissions of nitrous oxide in a cropland watershed with contrasting hydrology in central France. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 766:142664. [PMID: 33601668 DOI: 10.1016/j.scitotenv.2020.142664] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/26/2020] [Revised: 09/25/2020] [Accepted: 09/25/2020] [Indexed: 06/12/2023]
Abstract
Nitrous oxide (N2O) is an important greenhouse gas. Its atmospheric concentration have increased with the industrialisation and the use of N fertilizer. The contribution of freshwater systems to N2O emissions is still very uncertain, while regional transfer of nitrogen depends on soil and hydrology. Riverine and spring N2O dissolved in water was therefore measured over two years in the 3453 km2 Haut-Loir watershed (France). This temperate cropland watershed is characterized by two different hydrological systems east and west of the Loir River. The eastern rivers, fed by the emergence of the deep Beauce aquifer, exhibited significantly higher dissolved N2O concentrations (Beauce region, mean: 2.93 μg-N L-1) than the western rivers (Perche region, mean: 0.87 μg-N L-1), which were largely influenced by runoff during winter flooding. The eastern rivers had large nitrate concentrations all over the year; in the Perche, nitrate underwent a seasonal cycle with large loads during winter floods, but there were no consistent seasonal patterns in N2O. The ratios of N2O in excess of equilibrium on nitrate, often used as a proxy of emission factor (EF), were much smaller than the default IPCC values, both for rivers (0.014% versus 0.25% for IPCC EF5r) and the Loir spring (0.085% versus 0.6% for the IPCC EF5g for groundwater and springs). EF5r were significantly different between the two parts of the watershed only in winter, because of the seasonal variability of NO3-. Moreover dissolved N2O is controlled not only by NO3-, as it is considered in the calculation of the EF5, but also by water pH and dissolved organic carbon. A good prediction of dissolved N2O was obtained using these physicochemical variables and hydrological regions. Thus, these results suggest that the spatial variability of riverine N2O depends on local hydrology, while further research is needed to understand the seasonal variability.
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Affiliation(s)
| | | | | | | | - Catherine Hénault
- INRAE, URSOLS, F-45074 Orléans, France; INRAE, UMR Agroécologie, Dijon, France
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13
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Marginal Trade-Offs for Improved Agro-Ecological Efficiency Using Data Envelopment Analysis. AGRONOMY-BASEL 2021. [DOI: 10.3390/agronomy11020365] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Today’s agricultural management decisions impact food security and sustainable ecosystems, even when operating with back-to-basic operations. In such endeavors, policymakers usually need a quantitative tool, such as trade-offs margins, to effectively adjust resource consumption or production. This paper applies the weighted slack-based measurement (SBM-DEA) program to 136 developing countries’ agricultural performance. First, it finds the current agricultural efficiency and then makes marginal trade-offs on desirable-output variables (such as crop yield and forest area) to see the effective changes in undesirable-output (such as methane and nitrous oxide emissions). The results show that choosing effective marginal trade-offs does not deteriorate the relative efficiency of the decision-making units (DMUs) below the efficient frontier line. Thus, such a method enables the decision-makers to determine the best marginal trade-off points to reach the optimal efficiencies and decide which output factor needs special brainstorming to design effective policy.
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14
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Yuan J, Liu D, Xiang J, He T, Kang H, Ding W. Methane and nitrous oxide have separated production zones and distinct emission pathways in freshwater aquaculture ponds. WATER RESEARCH 2021; 190:116739. [PMID: 33333434 DOI: 10.1016/j.watres.2020.116739] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/14/2020] [Revised: 12/06/2020] [Accepted: 12/07/2020] [Indexed: 06/12/2023]
Abstract
Aquaculture systems receive intensive carbon (C) and nitrogen (N) loadings, and are therefore recognized as major anthropogenic sources of methane (CH4) and nitrous oxide (N2O) emissions. However, the extensively managed aquaculture ponds were identified as a hotspot of CH4 emission but just a weak N2O source. Here, we investigate annual CH4 and N2O fluxes from three earthen ponds used for crab culture, of different sizes, in southeast China. Our purposes are to identify the spatiotemporal variations of CH4 and N2O emissions and their components among ponds and to evaluate the zone for CH4 and N2O production. Static chamber-measured CH4 flux ranged from 0.03 to 64.7 mg CH4 m‒2 h‒1 (average: 9.02‒14.3 mg CH4 m‒2 h‒1), and temperature, followed by dissolved organic C (DOC) concentration, and redox potential, were the primary drivers of seasonal CH4 flux patterns. Annual mean diffusive CH4 flux was 1.80‒2.34 mg CH4 m‒2 h‒1, and that by ebullition was up to 7.20‒12.0 mg CH4 m‒2 h‒1 (79.1‒83.5% of the total CH4 flux). Annual CH4 emission was positively correlated with sediment DOC concentration but negatively (P < 0.05) correlated with water depth across ponds, with the highest CH4 emission occurred in a pond with low water depth and high DOC concentration. The calculated diffusive N2O flux by the gas transfer velocity was 0.32‒0.60 times greater than the measured N2O emission, suggesting that N2O in water column can not only evade as water-air fluxes but diffuse downwards and to be consumed in anaerobic sediments. This also indicates that N2O was primarily produced in water column. The highly reduced condition and depletion of NO3‒-N in sediments, can limit N2O production from both nitrification and denitrification but favor N2O consumption, leading the ponds to become a weak source of N2O annually and even a sink of N2O in summer. Our results highlight that the current global CH4 budget for inland waters is probably underestimated due to a lack of data and underestimation of the contribution of ebullitive CH4 flux in small lentic waters. The downwards N2O diffusion from the water column into sediment also indicates that the extensively-used model approach based on gas transfer velocity potentially overestimates N2O fluxes, especially in small eutrophic aquatic ecosystems.
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Affiliation(s)
- Junji Yuan
- State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China.
| | - Deyan Liu
- State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China
| | - Jian Xiang
- State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China; Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing 210037, China
| | - Tiehu He
- State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China
| | - Hojeong Kang
- School of Civil and Environmental Engineering, Yonsei University, Seoul 120-749, Korea
| | - Weixin Ding
- State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China.
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15
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Zhang W, Li H, Xiao Q, Jiang S, Li X. Surface nitrous oxide (N 2O) concentrations and fluxes from different rivers draining contrasting landscapes: Spatio-temporal variability, controls, and implications based on IPCC emission factor. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2020; 263:114457. [PMID: 32247923 DOI: 10.1016/j.envpol.2020.114457] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/28/2020] [Revised: 03/20/2020] [Accepted: 03/23/2020] [Indexed: 06/11/2023]
Abstract
Increasing indirect nitrous oxide (N2O) emission from river networks as a result of enhanced human activities on landscapes has become a global issue, as N2O has been widely recognized as an important ozone-depleting greenhouse gas. However, indirect N2O emissions from different rivers, particularly for those that drain completely different landscapes, are poorly understood. Here, we investigated the spatial-temporal variability of N2O emissions among the different rivers in the Chaohu Lake Basin of Eastern China. Our results showed that river reaches in urban watersheds are the hotspots of N2O production, with a mean N2O concentration of ∼410 nmol L-1, which is 9-18 times greater than those mainly draining forested (23 nmol L-1), agricultural (42 nmol L-1) and mixed (45 nmol L-1) landscapes. Riverine dissolved N2O was generally supersaturated with respect to the atmosphere. Such N2O saturation can best be explained by nitrogen availability, except for those in the forested watersheds, where dissolved oxygen is thought to be the primary predictor. The estimated N2O fluxes in urban rivers reached ∼471 μmol m-2 d-1, a value of ∼22, 13, and 11 times that in forested, agricultural and mixed watersheds, respectively. Averaged riverine N2O emission factors (EF5r) of the forested, agricultural, urban and mixed watersheds were 0.066%, 0.12%, 0.95% and 0.16%, respectively, showing different deviations from the default EF5r that released by IPCC in 2019. This points to a need for more field measurements with wider spatial coverage and finer frequency to further refine the EF5r and to better reveal the mechanisms behind indirect N2O emissions as influenced by watershed landscapes.
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Affiliation(s)
- Wangshou Zhang
- Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China.
| | - Hengpeng Li
- Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China.
| | - Qitao Xiao
- Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China
| | - Sanyuan Jiang
- Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China
| | - Xinyan Li
- Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China
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16
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Gao X, Ouyang W, Lin C, Wang K, Hao F, Hao X, Lian Z. Considering atmospheric N 2O dynamic in SWAT model avoids the overestimation of N 2O emissions in river networks. WATER RESEARCH 2020; 174:115624. [PMID: 32092545 DOI: 10.1016/j.watres.2020.115624] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/17/2019] [Revised: 02/08/2020] [Accepted: 02/13/2020] [Indexed: 06/10/2023]
Abstract
Modeling studies have focused on N2O emissions in temperate rivers under static atmospheric N2O (N2Oairc), with cold temperate river networks under dynamic N2Oairc receiving less attention. To address this knowledge and methodological gap, the dissolved N2O concentration (N2Odisc) and N2Oairc algorithms were integrated with an air-water gas exchange model (FN2O) into the SWAT (Soil and Water Assessment Tool). This new model (SWAT-FN2O) allows users to simulate daily riverine N2O emissions under dynamic atmospheric N2O. The spatiotemporal fluctuations in the riverine N2O emissions was simulated and its response to the static and dynamic atmospheric N2O were analyzed in a middle-high latitude agricultural watershed in northeastern China. The results show that the SWAT-FN2O model is a useful method for capturing the hotspots in riverine N2O emissions. The model showed strong riverine N2O absorption and weak N2O emissions from September to February, which acted as a sink for atmospheric N2O in this cold temperate area. High N2O emissions occurred from April to July, which accounted for 83.34% of the yearly emissions. Spatial analysis indicated that the main stream and its tributary could contribute 302.3-1043.7 and 41.5-163.4 μg N2O/(m2·d) to the total riverine N2O emissions (15.02 t/a), respectively. The riverine N2O emissions rates in the subbasins dominated by forests and paddy fields were lower than those in the subbasins dominated by arable and residential land. Riverine N2O emissions can be overestimated under the static atmospheric N2O rather than under the increasing atmospheric N2O. This overestimation has increased from 1.52% to 23.97% from 1990 to 2016 under the static atmospheric N2O. The results of this study are valuable for water quality and future climate change assessments that aim to protect aquatic and atmospheric environments.
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Affiliation(s)
- Xiang Gao
- School of Environment, State Key Laboratory of Water Environment Simulation, Beijing Normal University, Beijing, 100875, China; College of Global Change and Earth System Science, Beijing Normal University, Beijing, 100875, China
| | - Wei Ouyang
- School of Environment, State Key Laboratory of Water Environment Simulation, Beijing Normal University, Beijing, 100875, China.
| | - Chunye Lin
- School of Environment, State Key Laboratory of Water Environment Simulation, Beijing Normal University, Beijing, 100875, China
| | - Kaicun Wang
- College of Global Change and Earth System Science, Beijing Normal University, Beijing, 100875, China
| | - Fanghua Hao
- School of Environment, State Key Laboratory of Water Environment Simulation, Beijing Normal University, Beijing, 100875, China
| | - Xin Hao
- School of Environment, State Key Laboratory of Water Environment Simulation, Beijing Normal University, Beijing, 100875, China
| | - Zhongmin Lian
- School of Environment, State Key Laboratory of Water Environment Simulation, Beijing Normal University, Beijing, 100875, China
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17
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Smith RL, Böhlke JK. Methane and nitrous oxide temporal and spatial variability in two midwestern USA streams containing high nitrate concentrations. THE SCIENCE OF THE TOTAL ENVIRONMENT 2019; 685:574-588. [PMID: 31181534 DOI: 10.1016/j.scitotenv.2019.05.374] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/07/2019] [Revised: 05/23/2019] [Accepted: 05/24/2019] [Indexed: 06/09/2023]
Abstract
Concentrations and emissions of greenhouse gases CO2, CH4, and N2O commonly are examined individually in aquatic environments in which each is expected to be relatively important; however, their co-occurrence and dynamic interactions in fluvial settings could provide important information about their controlling biogeochemical processes and potential contributions to global climate change. Spatial and temporal variability of CH4, N2O, and CO2 concentrations were measured from June 1999 to September 2003 in two nitrate-rich (40-1200 μM) streams draining agricultural land in the midwestern USA that differed ~13-fold in flow. Seasonal (biweekly), diel (hourly), and transport-oriented (reach-scale) sampling approaches were compared. Dissolved gas concentrations exceeded atmospheric equilibrium values up to 700- and 16-fold, for CH4 and N2O, respectively. Mean concentrations were higher in the larger stream than in the smaller stream. In both streams, CH4 emissions were generally higher in summer-fall and negatively correlated with flow and NO3- concentration while N2O emissions were generally higher in winter/spring and positively correlated with flow and NO3-. In the small stream, diel variations in the concentrations, emissions, and isotopic compositions of CH4, N2O, and NO2- resulted from diel variations in sources, sinks, and air-water gas exchange velocities. Seasonal mean total (CH4 + N2O) area-normalized emission rates, expressed as CO2 warming potential equivalents, were similar for the two streams, but the total reach-scale emission rate for the larger stream, including CO2, was about 2.9 times that of the smaller stream (131.6 vs 46.0 kg CO2 equivalents km-1 day-1, respectively). The CH4 contribution to this flux was 9-28%, despite the relatively high NO3- and O2 concentrations in the streams, indicating contributions from upwelling groundwater or reactions in streambed sediment.
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Affiliation(s)
| | - J K Böhlke
- U.S. Geological Survey, Reston, VA 20192, USA
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18
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Qin X, Li Y, Goldberg S, Wan Y, Fan M, Liao Y, Wang B, Gao Q, Li Y. Assessment of Indirect N 2O Emission Factors from Agricultural River Networks Based on Long-Term Study at High Temporal Resolution. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2019; 53:10781-10791. [PMID: 31438664 DOI: 10.1021/acs.est.9b03896] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Assessment of indirect emission factors (EF5r) of nitrous oxide (N2O) from agricultural river networks remains challenging, and results are uncertain due to limited data availability. This study compared two methods of assessing EF5r using data from long-term observations at high temporal resolution in a typical agricultural catchment in subtropical central China. The concentration method (method 1) and the Intergovernmental Panel on Climate Change (IPCC) 2006 method (method 2) were employed to evaluate the emission factor. EF5r estimated using method 1 (i.e., EF5r1) was 0.00077 ± 0.00025 (0.00038-0.00097). EF5r calculated using method 2 (i.e., EF5r2) was lower than EF5r1, with a mean value of 0.00004 (0.000015-0.00012). Both EF5r1 and EF5r2 were significantly lower than the IPCC 2006 default value of 0.0025, suggesting that N2O emissions from China and world river networks may be grossly overestimated. A complex N2O production pathway and diffusion mechanism were responsible for the transfer of N2O from the sediment to river water and then to the atmosphere. These findings provide essential data for refining national greenhouse gas inventories and contribute evidence for downward revision of indirect emission factors adopted by the IPCC.
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Affiliation(s)
- Xiaobo Qin
- Institute of Environment and Sustainable Development in Agriculture , Chinese Academy of Agricultural Sciences/Key Laboratory for Agro-Environment, Ministry of Agriculture and Rural Affairs , No.12, Zhongguancun South Street , Haidian District, Beijing 100081 , China
| | - Yong Li
- Key Laboratory of Agro-ecological Processes in Subtropical Region , Institute of Subtropical Agriculture, Chinese Academy of Sciences , Changsha 410125 , China
| | - Stefanie Goldberg
- Kunming Institute of Botany , Chinese Academy of Sciences , Kunming 6502021 , China
| | - Yunfan Wan
- Institute of Environment and Sustainable Development in Agriculture , Chinese Academy of Agricultural Sciences/Key Laboratory for Agro-Environment, Ministry of Agriculture and Rural Affairs , No.12, Zhongguancun South Street , Haidian District, Beijing 100081 , China
| | - Meirong Fan
- Changsha Environmental Protection College , Changsha 410004 , China
| | - Yulin Liao
- Soils and Fertilizer Institute of Hunan Province , Changsha 410125 , China
| | - Bin Wang
- Institute of Environment and Sustainable Development in Agriculture , Chinese Academy of Agricultural Sciences/Key Laboratory for Agro-Environment, Ministry of Agriculture and Rural Affairs , No.12, Zhongguancun South Street , Haidian District, Beijing 100081 , China
| | - Qingzhu Gao
- Institute of Environment and Sustainable Development in Agriculture , Chinese Academy of Agricultural Sciences/Key Laboratory for Agro-Environment, Ministry of Agriculture and Rural Affairs , No.12, Zhongguancun South Street , Haidian District, Beijing 100081 , China
| | - Yu'e Li
- Institute of Environment and Sustainable Development in Agriculture , Chinese Academy of Agricultural Sciences/Key Laboratory for Agro-Environment, Ministry of Agriculture and Rural Affairs , No.12, Zhongguancun South Street , Haidian District, Beijing 100081 , China
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19
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Xiao Q, Hu Z, Fu C, Bian H, Lee X, Chen S, Shang D. Surface nitrous oxide concentrations and fluxes from water bodies of the agricultural watershed in Eastern China. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2019; 251:185-192. [PMID: 31078090 DOI: 10.1016/j.envpol.2019.04.076] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/26/2018] [Revised: 04/11/2019] [Accepted: 04/15/2019] [Indexed: 06/09/2023]
Abstract
Agriculture is one of major emission sources of nitrous oxide (N2O), an important greenhouse gas dominating stratospheric ozone destruction. However, indirect N2O emissions from agriculture watershed water surfaces are poorly understood. Here, surface-dissolved N2O concentration in water bodies of the agricultural watershed in Eastern China, one of the most intensive agricultural regions, was measured over a two-year period. Results showed that the dissolved N2O concentrations varied in samples taken from different water types, and the annual mean N2O concentrations for rivers, ponds, reservoir, and ditches were 30 ± 18, 19 ± 7, 16 ± 5 and 58 ± 69 nmol L-1, respectively. The N2O concentrations can be best predicted by the NO3--N concentrations in rivers and by the NH4+-N concentrations in ponds. Heavy precipitation induced hot moments of riverine N2O emissions were observed during farming season. Upstream waters are hot spots, in which the N2O production rates were two times greater than in non-hotspot locations. The modeled watershed indirect N2O emission rates were comparable to direct emission from fertilized soil. A rough estimate suggests that indirect N2O emissions yield approximately 4% of the total N2O emissions yield from N-fertilizer at the watershed scale. Separate emission factors (EF) established for rivers, ponds, and reservoir were 0.0013, 0.0020, and 0.0012, respectively, indicating that the IPCC (Inter-governmental Panel on Climate Change) default value of 0.0025 may overestimate the indirect N2O emission from surface water in eastern China. EF was inversely correlated with N loading, highlighting the potential constraints in the IPCC methodology for water with a high anthropogenic N input.
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Affiliation(s)
- Qitao Xiao
- Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Jiangsu Key Laboratory of Agricultural Meteorology, Nanjing University of Information Science & Technology, Nanjing, 210044, China; Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, 210008, China
| | - Zhenghua Hu
- Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Jiangsu Key Laboratory of Agricultural Meteorology, Nanjing University of Information Science & Technology, Nanjing, 210044, China.
| | - Congsheng Fu
- Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, 210008, China
| | - Hang Bian
- Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Jiangsu Key Laboratory of Agricultural Meteorology, Nanjing University of Information Science & Technology, Nanjing, 210044, China
| | - Xuhui Lee
- Yale-NUIST Center on Atmospheric Environment, Nanjing University of Information Science & Technology, Nanjing, 210044, China; School of Forestry and Environmental Studies, Yale University, New Haven, CT, 06511, USA
| | - Shutao Chen
- Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Jiangsu Key Laboratory of Agricultural Meteorology, Nanjing University of Information Science & Technology, Nanjing, 210044, China
| | - Dongyao Shang
- Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Jiangsu Key Laboratory of Agricultural Meteorology, Nanjing University of Information Science & Technology, Nanjing, 210044, China
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20
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Deng O, Li X, Xiao Y, Zhang S, Deng L, Lan T, Luo L, Gao X, Zhou W, Zhang J, Ling J. Emission of nitrous oxide from plain multi-ditch system and its impact factors. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2019; 26:16596-16605. [PMID: 30989602 DOI: 10.1007/s11356-019-04992-8] [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: 01/23/2019] [Accepted: 03/25/2019] [Indexed: 06/09/2023]
Abstract
Multi-level ditch area is a major component of the hydrographic net of plain area, China. Given the high concentration of nitrogen (N) in the surface water and vigorous biogeochemical interactions, ditch is likely to be the hot spots of N2O emission. However, N2O emission flux and emission factor (EF5r) of multi-level ditches have not been determined. To address this knowledge gap, a 1-year field work in three ditches with different levels in Chengdu Plain was conducted. It is found that the annual flux of N2O emission and EF5r was higher in the lateral (0.0020 and 83.94 μg m-2 h-1) and field ditches (0.0019 and 110.75 μg m-2 h-1) than in the branch ditch (0.0016 and 46.38 μg m-2 h-1, P < 0.05). It is found that parameters of groundwater level, discharge, precipitation, and NH4+ were the primary factors, and these parameters can model the N2O flux well. Furthermore, the content of NH4+ in the surface water of ditches presented better correlation with the emission of N2O than the content of NO3-. Therefore, controlling NH4+ emission and lessening fertilizer usage in summer may be key solutions for indirect reduction of N2O in Chengdu Plain.
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Affiliation(s)
- Ouping Deng
- College of Resources, Sichuan Agricultural University, Chengdu, 611130, People's Republic of China
| | - Xi Li
- College of Resources, Sichuan Agricultural University, Chengdu, 611130, People's Republic of China
| | - Yinlong Xiao
- College of Environmental Science, Sichuan Agricultural University, Chengdu, 611130, People's Republic of China
| | - Shirong Zhang
- College of Environmental Science, Sichuan Agricultural University, Chengdu, 611130, People's Republic of China
| | - Liangji Deng
- College of Resources, Sichuan Agricultural University, Chengdu, 611130, People's Republic of China
| | - Ting Lan
- College of Resources, Sichuan Agricultural University, Chengdu, 611130, People's Republic of China
| | - Ling Luo
- College of Environmental Science, Sichuan Agricultural University, Chengdu, 611130, People's Republic of China
| | - Xuesong Gao
- College of Resources, Sichuan Agricultural University, Chengdu, 611130, People's Republic of China
| | - Wei Zhou
- College of Resources, Sichuan Agricultural University, Chengdu, 611130, People's Republic of China
| | - Jing Zhang
- College of Environmental Science, Sichuan Agricultural University, Chengdu, 611130, People's Republic of China
| | - Jing Ling
- College of Resources, Sichuan Agricultural University, Chengdu, 611130, People's Republic of China.
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21
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Webb JR, Hayes NM, Simpson GL, Leavitt PR, Baulch HM, Finlay K. Widespread nitrous oxide undersaturation in farm waterbodies creates an unexpected greenhouse gas sink. Proc Natl Acad Sci U S A 2019; 116:9814-9819. [PMID: 31036633 PMCID: PMC6525509 DOI: 10.1073/pnas.1820389116] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Nitrogen pollution and global eutrophication are predicted to increase nitrous oxide (N2O) emissions from freshwater ecosystems. Surface waters within agricultural landscapes experience the full impact of these pressures and can contribute substantially to total landscape N2O emissions. However, N2O measurements to date have focused on flowing waters. Small artificial waterbodies remain greatly understudied in the context of agricultural N2O emissions. This study provides a regional analysis of N2O measurements in small (<0.01 km2) artificial reservoirs, of which an estimated 16 million exist globally. We show that 67% of reservoirs were N2O sinks (-12 to -2 μmol N2O⋅m-2⋅d-1) in Canada's largest agricultural area, despite their highly eutrophic status [99 ± 289 µg⋅L-1 chlorophyll-a (Chl-a)]. Generalized additive models indicated that in situ N2O concentrations were strongly and nonlinearly related to stratification strength and dissolved inorganic nitrogen content, with the lowest N2O levels under conditions of strong water column stability and high algal biomass. Predicted fluxes from previously published models based on lakes, reservoirs, and agricultural waters overestimated measured fluxes on average by 7- to 33-fold, challenging the widely held view that eutrophic N-enriched waters are sources of N2O.
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Affiliation(s)
- Jackie R Webb
- Department of Biology, University of Regina, Regina, SK S4S0A2, Canada;
| | - Nicole M Hayes
- Department of Biology, University of Regina, Regina, SK S4S0A2, Canada
- College of Biological Sciences, University of Minnesota, St. Paul, MN 55108
| | - Gavin L Simpson
- Department of Biology, University of Regina, Regina, SK S4S0A2, Canada
- Institute of Environmental Change and Society, University of Regina, Regina, SK S4S 0A2, Canada
| | - Peter R Leavitt
- Department of Biology, University of Regina, Regina, SK S4S0A2, Canada
- Institute of Environmental Change and Society, University of Regina, Regina, SK S4S 0A2, Canada
- Institute for Global Food Security, Queen's University Belfast, Belfast, Northern Ireland, BT7 1NN, United Kingdom
| | - Helen M Baulch
- School of Environment and Sustainability, Global Institute for Water Security, University of Saskatchewan, Saskatoon, SK S7N3H5, Canada
| | - Kerri Finlay
- Department of Biology, University of Regina, Regina, SK S4S0A2, Canada
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22
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Tian L, Cai Y, Akiyama H. A review of indirect N 2O emission factors from agricultural nitrogen leaching and runoff to update of the default IPCC values. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2019; 245:300-306. [PMID: 30447472 DOI: 10.1016/j.envpol.2018.11.016] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/24/2018] [Revised: 11/05/2018] [Accepted: 11/05/2018] [Indexed: 06/09/2023]
Abstract
Indirect N2O emissions from agricultural nitrogen (N) leaching and runoff in water bodies contribute significantly to the global atmospheric N2O budget. However, considerable uncertainty regarding this source remains in the bottom-up N2O inventory. Indirect N2O emission factor associated with N leaching and runoff (EF5; kg N2ON per kg of NO3--N) incorporate three components for groundwater and surface drainage (EF5g), rivers (EF5r), and estuaries (EF5e). The 2006 IPCC default EF5 value was based on a small number of studies available at the time. Here we present the synthesis of 254 measurements of EF5, dissolved N2O, and nitrate from 106 studies. Our results do not support the further downward revision of EF5g by the IPCC and suggest an upward revision of EF5g of 0.0060. The emission factors for groundwater and springs (0.0079) was higher than that for surface drainage (0.0040). The emission factor for lakes, ponds, and reservoirs was 0.0012, whereas that for rivers was 0.0030, and a combined EF5r was 0.0026. Estimated EF5r and EF5e (0.0026) values from the study were close to the current IPCC default values (0.0025 each). We estimated an updated default EF5 value of 0.01 for the refinement of IPCC guidelines.
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Affiliation(s)
- Linlin Tian
- State Key Laboratory of Subtropical Silviculture, Zhejiang A & F University, Hangzhou, 311300, China; Institute for Agro-Environmental Sciences, National Agriculture and Food Research Organization, 3-1-3, Kannondai, Tsukuba, Ibaraki, 305-8604, Japan
| | - Yanjiang Cai
- State Key Laboratory of Subtropical Silviculture, Zhejiang A & F University, Hangzhou, 311300, China; Institute for Agro-Environmental Sciences, National Agriculture and Food Research Organization, 3-1-3, Kannondai, Tsukuba, Ibaraki, 305-8604, Japan
| | - Hiroko Akiyama
- Institute for Agro-Environmental Sciences, National Agriculture and Food Research Organization, 3-1-3, Kannondai, Tsukuba, Ibaraki, 305-8604, Japan.
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23
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Wang G, Wang J, Xia X, Zhang L, Zhang S, McDowell WH, Hou L. Nitrogen removal rates in a frigid high-altitude river estimated by measuring dissolved N 2 and N 2O. THE SCIENCE OF THE TOTAL ENVIRONMENT 2018; 645:318-328. [PMID: 30025239 DOI: 10.1016/j.scitotenv.2018.07.090] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/23/2018] [Revised: 07/06/2018] [Accepted: 07/07/2018] [Indexed: 06/08/2023]
Abstract
Rivers are important sites of both nitrogen removal and emission of nitrous oxide (N2O), a powerful greenhouse gas. Previous measurements have focused on nitrogen-rich temperate rivers, with cold, low-nitrogen river systems at high-altitude receiving less attention. Here, nitrogen removal rates were estimated by directly measuring dissolved N2 and N2O of the Yellow River in its source region of the Tibetan Plateau, a frigid high-altitude environment. We measured the dissolved N2 and N2O using N2:Ar ratio method and headspace equilibrium technique, respectively. Dissolved N2 in the river water ranged from 337 to 513 μmol N2 L-1, and dissolved N2O ranged from 10.4 to 15.4 nmol N2O L-1. Excess dissolved N2 (△N2) ranged from -8.6 to 10.5 μmol N2 L-1, while excess dissolved N2O (△N2O) ranged from 2.1 to 8.3 nmol N2O L-1; they were relatively low compared with most other rivers in the world. However, N2 removal fraction (△N2/DIN, average 21.6%) and EF5r values (N2O - N/NO3 - N, range 1.6 × 10-4-5.0 × 10-2) were comparable with many other rivers despite the high altitude for the Yellow River source region. Furthermore, the EF5r values increased with altitude. Estimated fluxes of N2 and N2O to the atmosphere from the river surface ranged from -67.5 to 93.5 mmol N m-2 d-1 and from 4.8 to 93.8 μmol N m-2 d-1, respectively, and the nitrogen removal from rivers was estimated to be 1.87 × 107 kg N yr-1 for the Yellow River source region. This is the first report of nitrogen removal for a frigid high-altitude river; the results suggest that N removal and N2O emission from cold high-altitude rivers should be considered in the global nitrogen budget.
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Affiliation(s)
- Gongqin Wang
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China
| | - Junfeng Wang
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China
| | - Xinghui Xia
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China.
| | - Liwei Zhang
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China
| | - Sibo Zhang
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China
| | - William H McDowell
- Department of Natural Resources and the Environment, University of New Hampshire, Durham, NH 03824, USA
| | - Lijun Hou
- State Key Laboratory of Estuarine and Coastal Research, East China Normal University, Shanghai 200062, China
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24
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Tian L, Akiyama H, Zhu B, Shen X. Indirect N 2O emissions with seasonal variations from an agricultural drainage ditch mainly receiving interflow water. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2018; 242:480-491. [PMID: 30005260 DOI: 10.1016/j.envpol.2018.07.018] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/26/2018] [Revised: 07/03/2018] [Accepted: 07/04/2018] [Indexed: 06/08/2023]
Abstract
Nitrogen (N)-enriched leaching water may act as a source of indirect N2O emission when it is discharged to agricultural drainage ditches. In this study, indirect N2O emissions from an agricultural drainage ditch mainly receiving interflow water were measured using the static chamber-gas chromatography technique during 2012-2015 in the central Sichuan Basin in southwestern China. We found the drainage ditch was a source of indirect N2O emissions contributing an inter-annual mean flux of 6.56 ± 1.12 μg N m-2 h-1 and a mean indirect N2O emission factor (EF5g) value of 0.03 ± 0.003%. The mean EF5g value from literature review was 0.51%, which was higher than the default EF5g value (0.25%) proposed by the Intergovernmental Panel on Climate Change (IPCC) in 2006. Our study demonstrated that, more in situ observations of N2O emissions as regards N leaching are required, to account for the large variation in EF5g values and to improve the accuracy and confidence of the default EF5g value. Indirect N2O emissions varied with season, higher emissions occurred in summer and autumn. These seasonal variations were related to drainage water NO3--N concentration, temperature, and precipitation. Our results showed that intensive precipitation increased NO3--N concentrations and N2O emissions, and when combined with warmer water temperatures, these may have increased the denitrification rate that led to the higher summer and autumn N2O emissions in the studied agricultural drainage ditch.
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Affiliation(s)
- Linlin Tian
- Key Laboratory of Mountain Surface Processes and Ecological Regulation, Chinese Academy of Sciences, Chengdu 610041, China; Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, China; University of Chinese Academy of Sciences, Beijing 100049, China; Institute for Agro-Environmental Sciences, National Agriculture and Food Research Organization, Tsukuba 305-8604, Japan
| | - Hiroko Akiyama
- Institute for Agro-Environmental Sciences, National Agriculture and Food Research Organization, Tsukuba 305-8604, Japan
| | - Bo Zhu
- Key Laboratory of Mountain Surface Processes and Ecological Regulation, Chinese Academy of Sciences, Chengdu 610041, China; Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, China.
| | - Xi Shen
- Key Laboratory of Mountain Surface Processes and Ecological Regulation, Chinese Academy of Sciences, Chengdu 610041, China; Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, China
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25
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Wu S, Chen J, Li C, Kong D, Yu K, Liu S, Zou J. Diel and seasonal nitrous oxide fluxes determined by floating chamber and gas transfer equation methods in agricultural irrigation watersheds in southeast China. ENVIRONMENTAL MONITORING AND ASSESSMENT 2018; 190:122. [PMID: 29417234 DOI: 10.1007/s10661-018-6502-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/24/2017] [Accepted: 01/22/2018] [Indexed: 06/08/2023]
Abstract
Agricultural nitrate leaching and runoff incurs high nitrogen loads in agricultural irrigation watersheds, constituting one of important sources of atmospheric nitrous oxide (N2O). Two independent sampling campaigns of N2O flux measurement over diel cycles and N2O flux measurements once a week over annual cycles were carried out in an agricultural irrigation watershed in southeast China using floating chamber (chamber-based) and gas transfer equation (model-based) methods. The diel and seasonal patterns of N2O fluxes did not differ between the two measurement methods. The diel variation in N2O fluxes was characterized by the pattern that N2O fluxes were greater during nighttime than daytime periods with a single flux peak at midnight. The diel variation in N2O fluxes was closely associated with water environment and chemistry. The time interval of 9:00-11:00 a.m. was identified to be the sampling time best representing daily N2O flux measurements in agricultural irrigation watersheds. Seasonal N2O fluxes showed large variation, with some flux peaks corresponding to agricultural irrigation and drainage episodes and heavy rainfall during the crop-growing period of May to November. On average, N2O fluxes calculated by model-based methods were 27% lower than those determined by the chamber-based techniques over diel or annual cycles. Overall, more measurement campaigns are highly needed to assess regional agricultural N2O budget with low uncertainties.
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Affiliation(s)
- Shuang Wu
- Jiangsu Key Laboratory of Low Carbon Agriculture and GHGs Mitigation, College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing, 210095, China
| | - Jie Chen
- Jiangsu Key Laboratory of Low Carbon Agriculture and GHGs Mitigation, College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing, 210095, China
| | - Chen Li
- Jiangsu Key Laboratory of Low Carbon Agriculture and GHGs Mitigation, College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing, 210095, China
| | - Delei Kong
- Jiangsu Key Laboratory of Low Carbon Agriculture and GHGs Mitigation, College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing, 210095, China
- Jiangsu Key Lab and Engineering Center for Solid Organic Waste Utilization, Jiangsu Collaborative Innovation Center for Solid Organic Waste Resource Utilization, Nanjing Agricultural University, Nanjing, China
| | - Kai Yu
- Jiangsu Key Laboratory of Low Carbon Agriculture and GHGs Mitigation, College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing, 210095, China
| | - Shuwei Liu
- Jiangsu Key Laboratory of Low Carbon Agriculture and GHGs Mitigation, College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing, 210095, China
- Jiangsu Key Lab and Engineering Center for Solid Organic Waste Utilization, Jiangsu Collaborative Innovation Center for Solid Organic Waste Resource Utilization, Nanjing Agricultural University, Nanjing, China
| | - Jianwen Zou
- Jiangsu Key Laboratory of Low Carbon Agriculture and GHGs Mitigation, College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing, 210095, China.
- Jiangsu Key Lab and Engineering Center for Solid Organic Waste Utilization, Jiangsu Collaborative Innovation Center for Solid Organic Waste Resource Utilization, Nanjing Agricultural University, Nanjing, China.
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26
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Cooper RJ, Wexler SK, Adams CA, Hiscock KM. Hydrogeological Controls on Regional-Scale Indirect Nitrous Oxide Emission Factors for Rivers. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2017; 51:10440-10448. [PMID: 28841017 DOI: 10.1021/acs.est.7b02135] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/07/2023]
Abstract
Indirect nitrous oxide (N2O) emissions from rivers are currently derived using poorly constrained default IPCC emission factors (EF5r) which yield unreliable flux estimates. Here, we demonstrate how hydrogeological conditions can be used to develop more refined regional-scale EF5r estimates required for compiling accurate national greenhouse gas inventories. Focusing on three UK river catchments with contrasting bedrock and superficial geologies, N2O and nitrate (NO3-) concentrations were analyzed in 651 river water samples collected from 2011 to 2013. Unconfined Cretaceous Chalk bedrock regions yielded the highest median N2O-N concentration (3.0 μg L-1), EF5r (0.00036), and N2O-N flux (10.8 kg ha-1 a-1). Conversely, regions of bedrock confined by glacial deposits yielded significantly lower median N2O-N concentration (0.8 μg L-1), EF5r (0.00016), and N2O-N flux (2.6 kg ha-1 a-1), regardless of bedrock type. Bedrock permeability is an important control in regions where groundwater is unconfined, with a high N2O yield from high permeability chalk contrasting with significantly lower median N2O-N concentration (0.7 μg L-1), EF5r (0.00020), and N2O-N flux (2.0 kg ha-1 a-1) on lower permeability unconfined Jurassic mudstone. The evidence presented here demonstrates EF5r can be differentiated by hydrogeological conditions and thus provide a valuable proxy for generating improved regional-scale N2O emission estimates.
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Affiliation(s)
- Richard J Cooper
- School of Environmental Sciences, University of East Anglia , Norwich Research Park, Norwich NR4 7TJ, U.K
| | - Sarah K Wexler
- School of Environmental Sciences, University of East Anglia , Norwich Research Park, Norwich NR4 7TJ, U.K
| | - Christopher A Adams
- School of Environmental Sciences, University of East Anglia , Norwich Research Park, Norwich NR4 7TJ, U.K
| | - Kevin M Hiscock
- School of Environmental Sciences, University of East Anglia , Norwich Research Park, Norwich NR4 7TJ, U.K
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