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Li L, Zhao C, Wang X, Tan Y, Wang X, Liu X, Guo B. Effects of nitrification and urease inhibitors on ammonia-oxidizing microorganisms, denitrifying bacteria, and greenhouse gas emissions in greenhouse vegetable fields. ENVIRONMENTAL RESEARCH 2023; 237:116781. [PMID: 37517488 DOI: 10.1016/j.envres.2023.116781] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Revised: 07/19/2023] [Accepted: 07/27/2023] [Indexed: 08/01/2023]
Abstract
Soil microorganisms and N cycling are important components of biogeochemical cycling processes. In addition, the study of the effects of nitrification and urease inhibitors on N and microorganisms in greenhouse vegetable fields is essential to reducing N loss and greenhouse gas emissions. The effects of nitrification inhibitors [2-chloro-6-(trichloromethyl) pyridine (CP), dicyandiamide (DCD)], and urease inhibitor [N-(n-butyl) thiophosphoric triamide (NBPT)] on soil inorganic N (NH4+-N, NO2--N and NO3--N) concentrations and the production rates of greenhouse gases (N2O, CH4, and CO2) in greenhouse vegetable fields were investigated via indoor incubation experiments. Polymerase chain reaction amplification and high-throughput sequencing technology (Illumina Miseq) were used to explore the community structure and abundance changes of ammonia-oxidizing archaea (AOA), ammonia-oxidizing bacteria (AOB), and denitrifying bacteria (nirK and nirS). The results showed that CP and DCD obviously inhibited NH4+-N conversion, and NO2--N, and NO3--N accumulation, NBPT slowed down urea hydrolysis and NH4+-N production, and the apparent nitrification rates of soil were in the following order: NBPT > DCD > DCD + NBPT > CP + NBPT > CP. Compared with urea treatment, the peak N2O production rate of inhibitor treatment decreased by 73.30-99.30%, and the production rate of CH4 and CO2 decreased by more than 66.16%. DCD and CP reduced the abundance of AOA and AOB, respectively. Furthermore, NBPT hindered the growth of ammonia-oxidizing microorganisms and nirS-type denitrifying bacteria, and urea and nitrification inhibitors were detrimental to the growth of Ensifer and Sinorhizobium in the nirK community. Nitrification and urease inhibitors can effectively slow down nitrification and greenhouse gas emissions, reduce N loss and improve soil quality by inhibiting the growth of ammonia-oxidizing microorganisms and denitrifying bacteria.
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Affiliation(s)
- Luzhen Li
- Shandong Analysis and Test Center, Qilu University of Technology (Shandong Academy of Sciences), Jinan, 250014, China
| | - Changsheng Zhao
- Shandong Analysis and Test Center, Qilu University of Technology (Shandong Academy of Sciences), Jinan, 250014, China.
| | - Xinghua Wang
- Shandong Analysis and Test Center, Qilu University of Technology (Shandong Academy of Sciences), Jinan, 250014, China
| | - Yu Tan
- Shandong Analysis and Test Center, Qilu University of Technology (Shandong Academy of Sciences), Jinan, 250014, China
| | - Xiaokai Wang
- Shandong Analysis and Test Center, Qilu University of Technology (Shandong Academy of Sciences), Jinan, 250014, China
| | - Xuzhen Liu
- Shandong Analysis and Test Center, Qilu University of Technology (Shandong Academy of Sciences), Jinan, 250014, China
| | - Beibei Guo
- Shandong Analysis and Test Center, Qilu University of Technology (Shandong Academy of Sciences), Jinan, 250014, China
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He S, Maiti K, Ghaisas N, Upreti K, Rivera-Monroy VH. Potential methane production in oligohaline wetlands undergoing erosion and accretion in the Mississippi River Delta Plain, Louisiana, USA. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 875:162685. [PMID: 36894099 DOI: 10.1016/j.scitotenv.2023.162685] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Revised: 02/28/2023] [Accepted: 03/02/2023] [Indexed: 06/18/2023]
Abstract
Methane (CH4) is steadily increasing in the atmosphere from different sources including wetlands. However, there is limited landscape level CH4 flux data in deltaic coastal systems where the availability of freshwater is impacted by the combined effect of climate change and anthropogenic impacts. Here we determine potential CH4 fluxes in oligohaline wetlands and benthic sediments in the Mississippi River Delta Plain (MRDP), which is undergoing the highest rate of wetland loss and most extensive hydrological wetland restoration in North America. We evaluate potential CH4 fluxes in two contrasting deltaic systems, one undergoing sediment accretion as result of a freshwater and sediment diversions (Wax Lake Delta, WLD), and one experiencing net land loss (Barataria-Lake Cataouatche, BLC). Short- (<4 days) and long-term (36 days) incubations using soil and sediment intact cores and slurries were performed at different temperatures representing seasonal differences (10, 20, 30 °C). Our study revealed that all habitats were net sources of atmospheric CH4 in all seasons, and CH4 fluxes were generally the highest for the 20 °C incubation. The CH4 flux was higher in the marsh habitat of the recently formed delta system (WLD) with total carbon content of 5-24 mg C cm-3 compared to the marsh habitat in BLC, which had high soil carbon content of 67-213 mg C cm-3. This suggests that the quantity of soil organic matter might not be a determining factor in CH4 flux. Overall, benthic habitats were found to have the lowest CH4 fluxes indicating that projected future conversions of marshes to open water in this region will impact the total wetland CH4 emission, although the overall contribution of such conversions to the regional and global carbon budgets is still unknown. Further research is needed to expand the CH4 flux studies by simultaneously using several methods across different wetland habitats.
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Affiliation(s)
- Songjie He
- Department of Oceanography and Coastal Sciences, College of the Coast and Environment, Louisiana State University, Baton Rouge, LA 70808, USA
| | - Kanchan Maiti
- Department of Oceanography and Coastal Sciences, College of the Coast and Environment, Louisiana State University, Baton Rouge, LA 70808, USA.
| | - Neha Ghaisas
- Department of Oceanography and Coastal Sciences, College of the Coast and Environment, Louisiana State University, Baton Rouge, LA 70808, USA
| | - Kiran Upreti
- Department of Oceanography and Coastal Sciences, College of the Coast and Environment, Louisiana State University, Baton Rouge, LA 70808, USA
| | - Victor H Rivera-Monroy
- Department of Oceanography and Coastal Sciences, College of the Coast and Environment, Louisiana State University, Baton Rouge, LA 70808, USA
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Baustian MM, Liu B, Moss LC, Dausman A, Pahl JW. Climate change mitigation potential of Louisiana's coastal area: Current estimates and future projections. ECOLOGICAL APPLICATIONS : A PUBLICATION OF THE ECOLOGICAL SOCIETY OF AMERICA 2023; 33:e2847. [PMID: 36932861 DOI: 10.1002/eap.2847] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Revised: 12/01/2022] [Accepted: 12/20/2022] [Indexed: 06/02/2023]
Abstract
Coastal habitats can play an important role in climate change mitigation. As Louisiana implements its climate action plan and the restoration and risk-reduction projects outlined in its 2017 Louisiana Coastal Master Plan, it is critical to consider potential greenhouse gas (GHG) fluxes in coastal habitats. This study estimated the potential climate mitigation role of existing, converted, and restored coastal habitats for years 2005, 2020, 2025, 2030, and 2050, which align with the Governor of Louisiana's GHG reduction targets. An analytical framework was developed that considered (1) available scientific data on net ecosystem carbon balance fluxes per habitat and (2) habitat areas projected from modeling efforts used for the 2017 Louisiana Coastal Master Plan to estimate the net GHG flux of coastal area. The coastal area was estimated as net GHG sinks of -38.4 ± 10.6 and -43.2 ± 12.0 Tg CO2 equivalents (CO2 e) in 2005 and 2020, respectively. The coastal area was projected to remain a net GHG sink in 2025 and 2030, both with and without the implementation of Coastal Master Plan projects (means ranged from -25.3 to -34.2 Tg CO2 e). By 2050, with model-projected wetland loss and conversion of coastal habitats to open water due to coastal erosion and relative sea level rise, Louisiana's coastal area was projected to become a net source of GHG emissions both with and without the Coastal Master Plan projects. However, in the year 2050, the Louisiana Coastal Master Plan project implementation was projected to avoid the release of +8.8 ± 1.3 Tg CO2 e compared with an alternative with no action. Reduction in current and future stressors to coastal habitats, including impacts from sea level rise, as well as the implementation of restoration projects could help to ensure coastal areas remain a natural climate solution.
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Affiliation(s)
- Melissa M Baustian
- The Water Institute of the Gulf, 1110 River Road South, Suite 200, Baton Rouge, Louisiana, 70802, USA
- U.S. Geological Survey, Wetland and Aquatic Research Center, Baton Rouge, Louisiana, 70808, USA
| | - Bingqing Liu
- The Water Institute of the Gulf, 1110 River Road South, Suite 200, Baton Rouge, Louisiana, 70802, USA
| | - Leland C Moss
- Abt Associates, 6130 Executive Boulevard, Rockville, Maryland, 20852, USA
| | - Alyssa Dausman
- The Water Institute of the Gulf, 1110 River Road South, Suite 200, Baton Rouge, Louisiana, 70802, USA
| | - James W Pahl
- Louisiana Coastal Protection and Restoration Authority, 150 Terrace Avenue, Baton Rouge, Louisiana, 70802, USA
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Wang Z, Li K, Shen X, Yan F, Zhao X, Xin Y, Ji L, Xiang Q, Xu X, Li D, Ran J, Xu X, Chen Q. Soil nitrogen substances and denitrifying communities regulate the anaerobic oxidation of methane in wetlands of Yellow River Delta, China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 857:159439. [PMID: 36252671 DOI: 10.1016/j.scitotenv.2022.159439] [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: 07/25/2022] [Revised: 09/23/2022] [Accepted: 10/10/2022] [Indexed: 06/16/2023]
Abstract
Anaerobic oxidation of methane (AOM) in wetland soils is widely recognized as a key sink for the greenhouse gas methane (CH4). The occurrence of this reaction is influenced by several factors, but the exact process and related mechanism of this reaction remain unclear, due to the complex interactions between multiple influencing factors in nature. Therefore, we investigated how environmental and microbial factors affect AOM in wetlands using laboratory incubation methods combined with molecular biology techniques. The results showed that wetland AOM was associated with a variety of environmental factors and microbial factors. The environmental factors include such as vegetation, depth, hydrogen ion concentration (pH), oxidation-reduction potential (ORP), electrical conductivity (EC), total nitrogen (TN), nitrate (NO3-), sulfate (SO42-), and nitrous oxide (N2O) flux, among them, soil N substances (TN, NO3-, N2O) have essential regulatory roles in the AOM process, while NO3- and N2O may be the key electron acceptors driving the AOM process under the coexistence of multiple electron acceptors. Moreover, denitrification communities (narG, nirS, nirK, nosZI, nosZII) and anaerobic methanotrophic (ANME-2d) were identified as important functional microorganisms affecting the AOM process, which is largely regulated by the former. In the environmental context of growing global anthropogenic N inputs to wetlands, these findings imply that N cycle-mediated AOM processes are a more important CH4 sink for controlling global climate change. This studying contributes to the knowledge and prediction of wetland CH4 biogeochemical cycling and provides a microbial ecology viewpoint on the AOM response to global environmental change.
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Affiliation(s)
- Zihao Wang
- College of Geography and Environment, Shandong Normal University, Jinan 250014, PR China
| | - Kun Li
- College of Geography and Environment, Shandong Normal University, Jinan 250014, PR China
| | - Xiaoyan Shen
- College of Geography and Environment, Shandong Normal University, Jinan 250014, PR China
| | - Feifei Yan
- College of Geography and Environment, Shandong Normal University, Jinan 250014, PR China; College of Chemistry and Chemical Engineering, Ocean University of China, Qingdao 266100, PR China
| | - Xinkun Zhao
- College of Geography and Environment, Shandong Normal University, Jinan 250014, PR China
| | - Yu Xin
- College of Geography and Environment, Shandong Normal University, Jinan 250014, PR China
| | - Linhui Ji
- College of Geography and Environment, Shandong Normal University, Jinan 250014, PR China
| | - Qingyue Xiang
- College of Geography and Environment, Shandong Normal University, Jinan 250014, PR China
| | - Xinyi Xu
- College of Geography and Environment, Shandong Normal University, Jinan 250014, PR China
| | - Daijia Li
- College of Geography and Environment, Shandong Normal University, Jinan 250014, PR China
| | - Junhao Ran
- College of Geography and Environment, Shandong Normal University, Jinan 250014, PR China
| | - Xiaoya Xu
- College of Geography and Environment, Shandong Normal University, Jinan 250014, PR China.
| | - Qingfeng Chen
- College of Geography and Environment, Shandong Normal University, Jinan 250014, PR China.
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Zhou C, Peng Y, Deng Y, Yu M, Chen L, Zhang L, Xu X, Zhao F, Yan Y, Wang G. Increasing sulfate concentration and sedimentary decaying cyanobacteria co-affect organic carbon mineralization in eutrophic lake sediments. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 806:151260. [PMID: 34715224 DOI: 10.1016/j.scitotenv.2021.151260] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/12/2021] [Revised: 10/22/2021] [Accepted: 10/22/2021] [Indexed: 06/13/2023]
Abstract
Sulfate (SO42-) concentrations in eutrophic lakes are continuously increasing; however, the effect of increasing SO42- concentrations on organic carbon mineralization, especially the greenhouse gas emissions of sediments, remains unclear. Here, we constructed a series of microcosms with initial SO42- concentrations of 0, 30, 60, 90, 120, 150, and 180 mg/L to study the effects of increased SO42- concentrations, coupled with cyanobacterial blooms, on organic carbon mineralization in Lake Taihu. Cyanobacterial blooms promoted sulfate reduction and released a large amount of inorganic carbon. The SO42- concentrations in cyanobacteria treatments significantly decreased and eventually reached close to 0. As the initial SO42- concentration increased, the sulfate reduction rates significantly increased, with maximum values of 9.39, 9.44, 28.02, 30.89, 39.68, and 54.28 mg/L∙d for 30, 60, 90, 120, 150, and 180 mg/L SO42-, respectively. The total organic carbon content in sediments (51.16-52.70 g/kg) decreased with the initial SO42- concentration (R2 = 0.97), and the total inorganic carbon content in overlying water (159.97-182.73 mg/L) showed the opposite pattern (R2 = 0.91). The initial SO42- concentration was positively correlated with carbon dioxide (CO2) emissions (R2 = 0.68) and negatively correlated with methane (CH4) emissions (R2 = 0.96). The highest CO2 concentration and lowest CH4 concentration in the 180 mg/L SO42- treatment were 1688.78 and 1903 μmol/L, respectively. These biogeochemical processes were related to competition for organic carbon sources between sulfate reduction bacteria (SRB) and methane production archaea (MPA) in sediments. The abundance of SRB was positively correlated with the initial SO42- concentration and ranged from 6.65 × 107 to 2.98 × 108 copies/g; the abundance of MPA showed the opposite pattern and ranged from 1.99 × 108 to 3.35 × 108copies/g. These findings enhance our understanding of the effect of increasing SO42- concentrations on organic carbon mineralization and could enhance the accuracy of assessments of greenhouse gas emissions in eutrophic lakes.
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Affiliation(s)
- Chuanqiao Zhou
- School of Environment, Nanjing Normal University, Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Jiangsu Key Laboratory of Environmental Change and Ecological Construction, Nanjing 210023, China
| | - Yu Peng
- School of Environment, Nanjing Normal University, Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Jiangsu Key Laboratory of Environmental Change and Ecological Construction, Nanjing 210023, China
| | - Yang Deng
- School of Environment, Nanjing Normal University, Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Jiangsu Key Laboratory of Environmental Change and Ecological Construction, Nanjing 210023, China
| | - Miaotong Yu
- School of Environment, Nanjing Normal University, Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Jiangsu Key Laboratory of Environmental Change and Ecological Construction, Nanjing 210023, China
| | - Li Chen
- School of Environment, Nanjing Normal University, Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Jiangsu Key Laboratory of Environmental Change and Ecological Construction, Nanjing 210023, China
| | - Lanqing Zhang
- School of Environment, Nanjing Normal University, Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Jiangsu Key Laboratory of Environmental Change and Ecological Construction, Nanjing 210023, China
| | - Xiaoguang Xu
- School of Environment, Nanjing Normal University, Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Jiangsu Key Laboratory of Environmental Change and Ecological Construction, Nanjing 210023, China.
| | - Fenjun Zhao
- School of Environment, Nanjing Normal University, Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Jiangsu Key Laboratory of Environmental Change and Ecological Construction, Nanjing 210023, China
| | - Yan Yan
- Jiangsu Provincial Academy of Environmental Science, Nanjing 210036, China
| | - Guoxiang Wang
- School of Environment, Nanjing Normal University, Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Jiangsu Key Laboratory of Environmental Change and Ecological Construction, Nanjing 210023, China
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