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He C, Qi R, Feng H, Zhao Z, Wang F, Wang D, Wang F, Chen X, Zhang P, Li S, Yi Y. Spatiotemporal variations and dominated environmental parameters of nitrous oxide (N 2O) concentrations from cascade reservoirs in southwest China. Environ Sci Pollut Res Int 2023; 30:102547-102559. [PMID: 37668782 DOI: 10.1007/s11356-023-29502-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Accepted: 08/22/2023] [Indexed: 09/06/2023]
Abstract
Anthropogenic activity has caused rivers and reservoirs to become sources of nitrous oxide (N2O), which is thought to play an important role in global climate change. There are thermal and DO stratification in deep-water reservoirs with long hydraulic retention time, which change N2O production mechanism compared with shallow-water reservoirs. To promote our understanding of the relationship of N2O production in reservoirs at different depths, spatiotemporal variations in water environmental factors and N2O from cascade reservoirs of Chaishitan (CST), Longtan (LT), Yantan (YT) and Dahua (DH) reservoirs in the Zhujiang River were detected, and the LT and YT reservoirs were compared as representatives of deep-water and shallow-water reservoirs in April and July 2019. The average N2O concentrations in the LT and YT reservoirs were 22.82 ± 2.21 and 21.55 ± 1.65 nmol L-1, respectively. During spring and summer, the WT (water temperature) and DO (dissolved oxygen) concentrations in the YT reservoir were well mixed. In contrast, the LT reservoir, as a deep-water reservoir, had thermal and DO stratifications in both the shallow and middle water, especially in the summer when the solar radiation intensity was high. During summer stratification, the DO concentration in the LT reservoir showed obvious spatial variation, ranging from 1.23 to 9.84 mg L-1, while the DO concentration in the YT reservoir showed very little variation, ranging from 6.45 to 7.09 mg L-1. Structural equation modeling results showed that NH4+ was the main determinant of the N2O concentration in the YT reservoir, and DO was the most influential factor of the N2O concentration in the LT reservoir. These results suggest significant variations in the factors influencing N2O concentration among reservoirs. Additionally, the mechanisms of N2O production differ between deep-water and shallow-water reservoirs. This study highlights the spatio-temporal variations and influential factors contributing to N2O concentration. Furthermore, it discusses the production mechanisms of N2O in different types of reservoirs. These findings contribute to our understanding of N2O distribution in hydropower systems and provide valuable data for the management of hydropower facilities and research on greenhouse gas emissions.
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Affiliation(s)
- Chiquan He
- School of Environmental and Chemical Engineering, Shanghai University, 150#, 99 Shangda Road, Shanghai, 200444, China
| | - Rui Qi
- School of Environmental and Chemical Engineering, Shanghai University, 150#, 99 Shangda Road, Shanghai, 200444, China
| | - Haiyue Feng
- School of Environmental and Chemical Engineering, Shanghai University, 150#, 99 Shangda Road, Shanghai, 200444, China
| | - Zhenzhen Zhao
- School of Environmental and Chemical Engineering, Shanghai University, 150#, 99 Shangda Road, Shanghai, 200444, China.
| | - Fushun Wang
- School of Environmental and Chemical Engineering, Shanghai University, 150#, 99 Shangda Road, Shanghai, 200444, China
| | - Daoyuan Wang
- School of Environmental and Chemical Engineering, Shanghai University, 150#, 99 Shangda Road, Shanghai, 200444, China
| | - Feifei Wang
- School of Environmental and Chemical Engineering, Shanghai University, 150#, 99 Shangda Road, Shanghai, 200444, China
| | - Xueping Chen
- School of Environmental and Chemical Engineering, Shanghai University, 150#, 99 Shangda Road, Shanghai, 200444, China
| | - Pu Zhang
- School of Environmental and Chemical Engineering, Shanghai University, 150#, 99 Shangda Road, Shanghai, 200444, China
| | - Siliang Li
- Institute of Surface-Earth System Science, Tianjin University, Tianjin, 300072, China
| | - Yuanbi Yi
- Institute of Surface-Earth System Science, Tianjin University, Tianjin, 300072, China
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Fan X, Chen H, Yan G, Ye M, Yin C, Li T, Wakelin SA, Liang Y. Niche Differentiation Among Canonical Nitrifiers and N 2O Reducers Is Linked to Varying Effects of Nitrification Inhibitors DCD and DMPP in Two Arable Soils. Microb Ecol 2023; 85:1434-1447. [PMID: 35420314 DOI: 10.1007/s00248-022-02006-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/22/2021] [Accepted: 03/29/2022] [Indexed: 05/10/2023]
Abstract
The efficacy of nitrification inhibitors (NIs) dicyandiamide (DCD) and 3,4-dimethylpyrazole phosphate (DMPP) varies with soil types. Understanding the microbial mechanisms for this variation may lead to better modelling of NI efficacy and therefore on-farm adoption. This study addressed the response patterns of mineral nitrogen, nitrous oxide (N2O) emission, abundances of N-cycling functional guilds and soil microbiota characteristics, in relation to urea application with or without DCD or DMPP in two arable soils (an alkaline and an acid soil). The inhibition of nitrification rate and N2O emission by NI application occurred by suppressing ammonia-oxidizing bacteria (AOB) abundances and increasing the abundances of nosZI-N2O reducers; however, abundances of ammonia-oxidizing archaea (AOA) were also stimulated with NIs-added in these two arable soils. DMPP generally had stronger inhibition efficiency than DCD, and both NIs' addition decreased Nitrobacter, while increased Nitrospira abundance only in alkaline soil. N2O emissions were positively correlated with AOB and negatively correlated with nosZI in both soils and AOA only in acid soil. Moreover, N2O emissions were also positively correlated with nirK-type denitrifiers in alkaline soil, and clade A comammox in acid soil. Amendment with DCD or DMPP altered soil microbiota community structure, but had minor effect on community composition. These results highlight a crucial role of the niche differentiation among canonical ammonia oxidizers (AOA/AOB), Nitrobacter and Nitrospira, as well as nosZI- and nosZII-N2O reducers in determining the varying efficacies of DCD and DMPP in different arable soils.
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Affiliation(s)
- Xiaoping Fan
- Ministry of Education Key Laboratory of Environment Remediation and Ecological Health, College of Environmental & Resource Sciences, Zhejiang University, Hangzhou, 310058, China
| | - Hao Chen
- Ministry of Education Key Laboratory of Environment Remediation and Ecological Health, College of Environmental & Resource Sciences, Zhejiang University, Hangzhou, 310058, China
| | - Guochao Yan
- Laboratory for Quality Improvement of Agricultural Products of Zhejiang Province, College of Agriculture and Food Science, Zhejiang Agriculture and Forestry University, Hangzhou, 311300, China
| | - Mujun Ye
- Ministry of Education Key Laboratory of Environment Remediation and Ecological Health, College of Environmental & Resource Sciences, Zhejiang University, Hangzhou, 310058, China
| | - Chang Yin
- Ministry of Education Key Laboratory of Environment Remediation and Ecological Health, College of Environmental & Resource Sciences, Zhejiang University, Hangzhou, 310058, China
| | - Tingqiang Li
- Ministry of Education Key Laboratory of Environment Remediation and Ecological Health, College of Environmental & Resource Sciences, Zhejiang University, Hangzhou, 310058, China
| | | | - Yongchao Liang
- Ministry of Education Key Laboratory of Environment Remediation and Ecological Health, College of Environmental & Resource Sciences, Zhejiang University, Hangzhou, 310058, China.
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Song L, Zang S, Lin L, Lu B, Sun C, Jiao Y, Wang H. Responses of nitrous oxide fluxes to autumn freeze-thaw cycles in permafrost peatlands of the Da Xing'an Mountains, Northeast China. Environ Sci Pollut Res Int 2022; 29:31700-31712. [PMID: 35013975 DOI: 10.1007/s11356-022-18545-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Accepted: 01/03/2022] [Indexed: 06/14/2023]
Abstract
Climate warming has intensified changes of permafrost freeze-thaw process and postponed the starting period of soil freezing, which significantly affected the processes of N2O production and emission from the soils. However, responses of soil N2O fluxes to freeze-thaw cycles (FTCS) during autumn freezing period in permafrost peatlands in field remain unclear. Therefore, the static chamber-GC techniques were used to explore the effects of autumn FTCS on N2O fluxes in the three permafrost peatlands [Calamagrostis angustifolia peatland (CA), Larix gmelini-Sphagnum swamp (LS), and Eriophorum vaginatum peatland (EV)] in Da Xing'an Mountains, Northeast China, from September to November 2019. The response peaks of N2O fluxes to autumn FTCS in CA (29.22 ± 14.90 μg m-2 h-1) and EV (19.70 ± 7.26 μg m-2 h-1) occurred in the autumn FTCS prophase, whereas LS (11.33 ± 0.90 μg m-2 h-1) appeared in the autumn FTCS metaphase. CA (394.90 μg m-2) and EV (497.82 μg m-2) acted as a N2O source, and LS (- 1321.43 μg m-2) was a N2O sink. The effects of autumn FTCS on N2O fluxes were significantly different (p < 0.001) in the three permafrost peatlands. N2O emissions during autumn FTCS were mainly driven by soil NH4+-N0-50 cm, DOC30-40 cm and 40-50 cm content and soil NO3--N0-50 cm content. The results implied that autumn FTCS could stimulate soil N2O emissions in permafrost peatlands and confirmed the important contribution of N2O emissions during autumn FTCS to annual nitrogen budget. This study could improve the accuracy of regional estimates of annual nitrogen budget.
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Affiliation(s)
- Liquan Song
- Heilongjiang Province Key Laboratory of Geographical Environment Monitoring and Spatial Information Service in Cold Regions, Harbin Normal University, Harbin, 150025, China
- Heilongjiang Province Collaborative Innovation Center of Cold Region Ecological Safety, Harbin, 150025, China
| | - Shuying Zang
- Heilongjiang Province Key Laboratory of Geographical Environment Monitoring and Spatial Information Service in Cold Regions, Harbin Normal University, Harbin, 150025, China.
- Heilongjiang Province Collaborative Innovation Center of Cold Region Ecological Safety, Harbin, 150025, China.
| | - Lin Lin
- College of Foreign Languages, Jiamusi University, Jiamusi, 154007, China
| | - Boquan Lu
- Heilongjiang Province Key Laboratory of Geographical Environment Monitoring and Spatial Information Service in Cold Regions, Harbin Normal University, Harbin, 150025, China
- Heilongjiang Province Collaborative Innovation Center of Cold Region Ecological Safety, Harbin, 150025, China
| | - Chaofeng Sun
- Heilongjiang Province Key Laboratory of Geographical Environment Monitoring and Spatial Information Service in Cold Regions, Harbin Normal University, Harbin, 150025, China
- Heilongjiang Province Collaborative Innovation Center of Cold Region Ecological Safety, Harbin, 150025, China
| | - Yaqing Jiao
- Heilongjiang Province Key Laboratory of Geographical Environment Monitoring and Spatial Information Service in Cold Regions, Harbin Normal University, Harbin, 150025, China
- Heilongjiang Province Collaborative Innovation Center of Cold Region Ecological Safety, Harbin, 150025, China
| | - Hanxi Wang
- Heilongjiang Province Key Laboratory of Geographical Environment Monitoring and Spatial Information Service in Cold Regions, Harbin Normal University, Harbin, 150025, China.
- Heilongjiang Province Collaborative Innovation Center of Cold Region Ecological Safety, Harbin, 150025, China.
- State Environmental Protection Key Laboratory of Wetland Ecology and Vegetation Restoration, School of Environment, Northeast Normal University, Jingyue Street 2555, Changchun, 130117, China.
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Nakai R, Fujisawa T, Nakamura Y, Baba T, Nishijima M, Karray F, Sayadi S, Isoda H, Naganuma T, Niki H. Genome sequence and overview of Oligoflexus tunisiensis Shr3 T in the eighth class Oligoflexia of the phylum Proteobacteria. Stand Genomic Sci 2016; 11:90. [PMID: 27999625 PMCID: PMC5154148 DOI: 10.1186/s40793-016-0210-6] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2016] [Accepted: 11/26/2016] [Indexed: 11/10/2022] Open
Abstract
Oligoflexus tunisiensis Shr3T is the first strain described in the newest (eighth) class Oligoflexia of the phylum Proteobacteria. This strain was isolated from the 0.2-μm filtrate of a suspension of sand gravels collected in the Sahara Desert in the Republic of Tunisia. The genome of O. tunisiensis Shr3T is 7,569,109 bp long and consists of one scaffold with a 54.3% G + C content. A total of 6,463 genes were predicted, comprising 6,406 protein-coding and 57 RNA genes. Genome sequence analysis suggested that strain Shr3T had multiple terminal oxidases for aerobic respiration and various transporters, including the resistance-nodulation-cell division-type efflux pumps. Additionally, gene sequences related to the incomplete denitrification pathway lacking the final step to reduce nitrous oxide (N2O) to nitrogen gas (N2) were found in the O. tunisiensis Shr3T genome. The results presented herein provide insight into the metabolic versatility and N2O-producing activity of Oligoflexus species.
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Affiliation(s)
- Ryosuke Nakai
- Genetic Strains Research Center, National Institute of Genetics, 1111 Yata, Mishima, 411-8540 Japan
| | - Takatomo Fujisawa
- Center for Information Biology, National Institute of Genetics, 1111 Yata, Mishima, 411-8540 Japan
| | - Yasukazu Nakamura
- Center for Information Biology, National Institute of Genetics, 1111 Yata, Mishima, 411-8540 Japan ; Department of Genetics, The Graduate University for Advanced Studies (SOKENDAI), 1111 Yata, Mishima, 411-8540 Japan
| | - Tomoya Baba
- Genetic Strains Research Center, National Institute of Genetics, 1111 Yata, Mishima, 411-8540 Japan
| | - Miyuki Nishijima
- Technical Department, TechnoSuruga Laboratory Co., Ltd., 330 Nagasaki, Shimizu-ku, Shizuoka, 424-0065 Japan
| | - Fatma Karray
- Centre of Biotechnology of Sfax, University of Sfax, Route Sidi Mansour, km 6, BP 1177, 3018 Sfax, Tunisia
| | - Sami Sayadi
- Centre of Biotechnology of Sfax, University of Sfax, Route Sidi Mansour, km 6, BP 1177, 3018 Sfax, Tunisia
| | - Hiroko Isoda
- Alliance for Research on North Africa (ARENA), University of Tsukuba, 1-1-1 Tennoudai, Tsukuba, 305-8572 Japan
| | - Takeshi Naganuma
- Graduate School of Biosphere Science, Hiroshima University, 1-4-4 Kagamiyama, Higashi-hiroshima, 739-8528 Japan
| | - Hironori Niki
- Genetic Strains Research Center, National Institute of Genetics, 1111 Yata, Mishima, 411-8540 Japan ; Department of Genetics, The Graduate University for Advanced Studies (SOKENDAI), 1111 Yata, Mishima, 411-8540 Japan
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