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Tufail MA, Irfan M, Umar W, Wakeel A, Schmitz RA. Mediation of gaseous emissions and improving plant productivity by DCD and DMPP nitrification inhibitors: Meta-analysis of last three decades. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:64719-64735. [PMID: 36929253 PMCID: PMC10172236 DOI: 10.1007/s11356-023-26318-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Accepted: 03/03/2023] [Indexed: 05/05/2023]
Abstract
Nitrification inhibitors (NIs), especially dicyandiamide (DCD) and 3,4-dimethylpyrazole phosphate (DMPP), have been extensively investigated to mitigate nitrogen (N) losses from the soil and thus improve crop productivity by enhancing N use efficiency. However, to provide crop and soil-specific guidelines about using these NIs, a quantitative assessment of their efficacy in mitigating gaseous emissions, worth for nitrate leaching, and improving crop productivity under different crops and soils is yet required. Therefore, based upon 146 peer-reviewed research studies, we conducted a meta-analysis to quantify the effect of DCD and DMPP on gaseous emissions, nitrate leaching, soil inorganic N, and crop productivity under different variates. The efficacy of the NIs in reducing the emissions of CO2, CH4, NO, and N2O highly depends on the crop, soil, and experiment types. The comparative efficacy of DCD in reducing N2O emission was higher than the DMPP under maize, grasses, and fallow soils in both organic and chemical fertilizer amended soils. The use of DCD was linked to increased NH3 emission in vegetables, rice, and grasses. Depending upon the crop, soil, and fertilizer type, both the NIs decreased nitrate leaching from soils; however, DMPP was more effective. Nevertheless, the effect of DCD on crop productivity indicators, including N uptake, N use efficiency, and biomass/yield was higher than DMPP due to certain factors. Moreover, among soils, crops, and fertilizer types, the response by plant productivity indicators to the application of NIs ranged between 35 and 43%. Overall, the finding of this meta-analysis strongly suggests the use of DCD and DMPP while considering the crop, fertilizer, and soil types.
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Affiliation(s)
| | - Muhammad Irfan
- Soil and Environmental Sciences Division, Nuclear Institute of Agriculture (NIA), Tandojam, Pakistan
| | - Wajid Umar
- Institute of Environmental Science, Hungarian University of Agriculture and Life Sciences, Gödöllő, 2100 Hungary
| | - Abdul Wakeel
- Institute of Soil and Environmental Sciences, University of Agriculture Faisalabad, Faisalabad, Pakistan
| | - Ruth A. Schmitz
- Institute for Microbiology, Christian-Albrechts-University Kiel, Kiel, Germany
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Zheng J, Sakata T, Fujii K. Deciphering nitrous oxide emissions from tropical soils of different land uses. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 862:160916. [PMID: 36526175 DOI: 10.1016/j.scitotenv.2022.160916] [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: 09/17/2022] [Revised: 12/08/2022] [Accepted: 12/09/2022] [Indexed: 06/17/2023]
Abstract
Tropical regions are hotspots of increasing greenhouse gas emissions associated with land-use change. Although many field studies have quantified soil fluxes of nitrous oxide (N2O; a potent greenhouse gas) from various land uses, the driving mechanisms remain uncertain. Here, we used tropical soils of diverse land uses and actively manipulated the soil moisture (35%, 60%, and 95% water-filled pore space [WFPS]) and substrate supply (control, nitrate, and nitrate plus glucose) to investigate the responses of N2O emissions with short-term incubations. We then identified key factors regulating N2O emissions out of a series of soil physicochemical and biological factors and explored how these factors interacted to drive N2O emissions. Land-use changes from primary forest to oil palm or Acacia plantation risks emitting more N2O, whereas low emissions could be maintained by conversion to Macaranga forest or Imperata grassland; these laboratory observations were corroborated by a literature synthesis of field N2O measurements across tropical regions. Soil redox potential (Eh) and labile organic nitrogen (LON; amino acid mixture, arginine, and urea) mineralization were among the factors with greatest influence on N2O emissions. In contrast to common understandings, the control of WFPS over N2O emissions was largely indirect, and acted through Eh. The mineralization of LON, particularly arginine, potentially played multiple roles in N2O production (e.g., bottlenecks of nitrifier-denitrification or simultaneous nitrification-denitrification versus substrate competition for co-denitrification). Structural equation models suggest that soil-environmental factors of different levels (from distal including land use, soil moisture, and pH to proximal such as LON mineralization) drive N2O emissions through cascading interactions. Overall, we show that, despite identical initial soil conditions, land conversion can substantially alter the N2O emission potential. Also, collectively considering soil-environmental regulators and their interactions associated with land conversion is crucial to predict and design mitigation strategies for N2O emissions from land-use change.
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Affiliation(s)
- Jinsen Zheng
- Forestry and Forest Products Research Institute, Tsukuba 305-8687, Japan.
| | - Tadashi Sakata
- Forestry and Forest Products Research Institute, Tsukuba 305-8687, Japan
| | - Kazumichi Fujii
- Forestry and Forest Products Research Institute, Tsukuba 305-8687, Japan.
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Li Z, Tang Z, Song Z, Chen W, Tian D, Tang S, Wang X, Wang J, Liu W, Wang Y, Li J, Jiang L, Luo Y, Niu S. Variations and controlling factors of soil denitrification rate. GLOBAL CHANGE BIOLOGY 2022; 28:2133-2145. [PMID: 34964218 DOI: 10.1111/gcb.16066] [Citation(s) in RCA: 30] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/23/2021] [Revised: 11/28/2021] [Accepted: 12/09/2021] [Indexed: 06/14/2023]
Abstract
The denitrification process profoundly affects soil nitrogen (N) availability and generates its byproduct, nitrous oxide, as a potent greenhouse gas. There are large uncertainties in predicting global denitrification because its controlling factors remain elusive. In this study, we compiled 4301 observations of denitrification rates across a variety of terrestrial ecosystems from 214 papers published in the literature. The averaged denitrification rate was 3516.3 ± 91.1 µg N kg-1 soil day-1 . The highest denitrification rate was 4242.3 ± 152.3 µg N kg-1 soil day-1 under humid subtropical climates, and the lowest was 965.8 ± 150.4 µg N kg-1 under dry climates. The denitrification rate increased with temperature, precipitation, soil carbon and N contents, as well as microbial biomass carbon and N, but decreased with soil clay contents. The variables related to soil N contents (e.g., nitrate, ammonium, and total N) explained the variation of denitrification more than climatic and edaphic variables (e.g., mean annual temperature (MAT), soil moisture, soil pH, and clay content) according to structural equation models. Soil microbial biomass carbon, which was influenced by soil nitrate, ammonium, and total N, also strongly influenced denitrification at a global scale. Collectively, soil N contents, microbial biomass, pH, texture, moisture, and MAT accounted for 60% of the variation in global denitrification rates. The findings suggest that soil N contents and microbial biomass are strong predictors of denitrification at the global scale.
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Affiliation(s)
- Zhaolei Li
- College of Resources and Environment, and Academy of Agricultural Sciences, Southwest University, Chongqing, China
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
- Center for Ecosystem Science and Society, Northern Arizona University, Flagstaff, Arizona, USA
- College of Resources and Environment, Shandong Agricultural University, Taian, China
| | - Ze Tang
- Chinese Academy for Environmental Planning, Beijing, China
| | - Zhaopeng Song
- Center for Ecosystem Science and Society, Northern Arizona University, Flagstaff, Arizona, USA
- College of Urban and Environmental Sciences, MOE Laboratory for Earth Surface Processes, and Sino-French Institute for Earth System Science, Peking University, Beijing, China
| | - Weinan Chen
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China
| | - Dashuan Tian
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
| | - Shiming Tang
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
| | - Xiaoyue Wang
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
| | - Jinsong Wang
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
| | - Wenjie Liu
- Center for Ecosystem Science and Society, Northern Arizona University, Flagstaff, Arizona, USA
- College of Ecology and Environment, Hainan University, Haikou, China
| | - Yi Wang
- School of Life Sciences and School of Ecology, State Key Lab of Biological Control, Sun Yat-sen University, Guangzhou, China
| | - Jie Li
- Center for Ecosystem Science and Society, Northern Arizona University, Flagstaff, Arizona, USA
| | - Lifen Jiang
- Center for Ecosystem Science and Society, Northern Arizona University, Flagstaff, Arizona, USA
| | - Yiqi Luo
- Center for Ecosystem Science and Society, Northern Arizona University, Flagstaff, Arizona, USA
| | - Shuli Niu
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China
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Ganasamurthy S, Rex D, Samad MS, Richards KG, Lanigan GJ, Grelet GA, Clough TJ, Morales SE. Competition and community succession link N transformation and greenhouse gas emissions in urine patches. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 779:146318. [PMID: 34030223 DOI: 10.1016/j.scitotenv.2021.146318] [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: 10/07/2020] [Revised: 01/28/2021] [Accepted: 02/28/2021] [Indexed: 06/12/2023]
Abstract
Nitrous oxide (N2O) is a strong greenhouse gas produced by biotic/abiotic processes directly linked to both fungal and prokaryotic communities that produce, consume or create conditions leading to its emission. In soils exposed to nitrogen (N) in the form of urea, an ecological succession is triggered resulting in a dynamic turnover of microbial populations. However, knowledge of the mechanisms controlling this succession and the repercussions for N2O emissions remain incomplete. Here, we monitored N2O production and fungal/prokaryotic community changes (via 16S and 18S amplicon sequencing) in soil microcosms exposed to urea. Contributions of microbes to emissions were determined using biological inhibitors. Results confirmed that urea leads to shifts in microbial community assemblages by selecting for certain microbial groups (fast growers) as dictated through life history strategies. Urea reduced overall community diversity by conferring dominance to specific groups at different stages in the succession. The diversity lost under urea was recovered with inhibitor addition through the removal of groups that were actively growing under urea indicating that species replacement is mediated in part by competition. Results also identified fungi as significant contributors to N2O emissions, and demonstrate that dominant fungal populations are consistently replaced at different stages of the succession. These successions were affected by addition of inhibitors which resulted in strong decreases in N2O emissions, suggesting that fungal contributions to N2O emissions are larger than that of prokaryotes.
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Affiliation(s)
- Syaliny Ganasamurthy
- Department of Microbiology and Immunology, Otago School of Medical Sciences, University of Otago, Dunedin, New Zealand
| | - David Rex
- Department of Soil and Physical Sciences, Lincoln University, Lincoln, New Zealand
| | - Md Sainur Samad
- Department of Microbiology and Immunology, Otago School of Medical Sciences, University of Otago, Dunedin, New Zealand; Heinrich von Thünen-Institute, Institute for Biodiversity, Braunschweig, Germany
| | - Karl G Richards
- Teagasc, Environmental Research Centre, Johnstown Castle, Wexford, Ireland
| | - Gary J Lanigan
- Teagasc, Environmental Research Centre, Johnstown Castle, Wexford, Ireland
| | - Gwen-Aëlle Grelet
- Manaaki Whenua- Landcare Research, Land Use & Ecosystems Team, Gerald Street, PO, Box 69040, Lincoln 7640, New Zealand
| | - Timothy J Clough
- Department of Soil and Physical Sciences, Lincoln University, Lincoln, New Zealand.
| | - Sergio E Morales
- Department of Microbiology and Immunology, Otago School of Medical Sciences, University of Otago, Dunedin, New Zealand.
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Jahangir MMR, Fenton O, Carolan R, Harrington R, Johnston P, Zaman M, Richards KG, Müller C. Application of 15N tracing for estimating nitrogen cycle processes in soils of a constructed wetland. WATER RESEARCH 2020; 183:116062. [PMID: 32585388 DOI: 10.1016/j.watres.2020.116062] [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: 04/18/2020] [Revised: 06/12/2020] [Accepted: 06/13/2020] [Indexed: 06/11/2023]
Abstract
Integrated Constructed Wetlands (ICW) area technology for the attenuation of contaminants such as organic carbon (C), nitrogen (N), phosphorous (P) and sulphur (S) in water coming from point or diffuse sources. Currently there is a lack of knowledge on the rates of gross N transformations in soils of the ICW bed leading to losses of reactive N to the environment. In addition, the kinetics of these processes need to be studied thoroughly for the sustainable use of ICW for removal of excessive N in the treatment of waste waters. Gross N transformation processes were quantified at two soil depths (0-15 and 30-45 cm) in the bed of a surface flow ICW using a 15N tracing approach. The ICW, located in Dunhill village at Waterford in Southeastern Ireland, receives 500 person equivalent waste waters containing large quantities of organic pollutants (ca. mean annual C, N, P and S contents of 240, 60, 5 and 73 mg L-1). Soil was removed from these depths in December 2014 and incubated anaerobically in the laboratory, with either 15N labeled ammonium (NH4+) or nitrate (NO3-), differentially labeled with 14NH415NO3 and 15NH414NO3 in parallel setups, enriched to 50 atm% 15N. Results showed that at both soil depths, NO3- production rates were small, which may have resulted in lower NO3- reduction by either denitrification or dissimilatory NO3- reduction to ammonium (DNRA). However, despite being low, the DNRA rates were greater than denitrification rates. Direct transformation of organic N to NO3-, without mineralization to NH4+, was a prevalent pathway of NO3- production accounting for 28-33% of the total NO3- production. Relative contribution of this process to the total N mineralization was negligible at depth 1 (0.01%) but dominant at depth 2 (99.7%). Total NO3-production to total immobilization of NH4+ and NO3- was very small (<0.50%) suggesting that ICW soils are not a source of NO3-. Despite a large potential of N immobilization existed at both the layers, relative N immobilization to the total N conversion was higher at depth 2 (ca. 2.2) than at depth 1 (ca. 1.5). The NH4+ desorption rate at 30-45 cm was high. However, immobilization in the recalcitrant and labile organic N pools was higher. Mineralization and immobilization of NH4+ processes showed that recalcitrant organic N was the predominant source in ICW soils whereas the labile organic N was comparatively small. Source apportionment of N2O production showed that the majority of the N2O produced through denitrification (ca. 92.5%) followed by heterotrophic nitrification (ca. 5.5%), co-denitrification (ca. 1.90%) and nitrification (0.20%). These results revealed that application of a detailed 15N tracing method can provide insights on the underlying processes of ecosystem based abundances of reactive N. A key finding of this study was that both investigated ICW layers were characterised by large N immobilization which restricts production of NO3- and further gaseous N losses.
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Affiliation(s)
- M M R Jahangir
- Department of Environment, Soils & Land Use, Teagasc Environment Research Centre, Johnstown Castle, Co., Wexford, Ireland; Department of Civil, Structural & Environmental Engineering, Trinity College Dublin, Dublin, 2, Ireland; Department of Soil Science, Bangladesh Agricultural University, Bangladesh
| | - O Fenton
- Department of Environment, Soils & Land Use, Teagasc Environment Research Centre, Johnstown Castle, Co., Wexford, Ireland
| | - R Carolan
- Agri-Food and Biosciences Institute, Newforge Lane, Belfast, BT9 5PX, Northern Ireland, UK
| | | | - P Johnston
- Department of Civil, Structural & Environmental Engineering, Trinity College Dublin, Dublin, 2, Ireland
| | - M Zaman
- Soil and Water Management & Crop Nutrition, Joint FAO/IAEA Division of Nuclear Techniques in Food & Agriculture, Vienna, Austria
| | - K G Richards
- Department of Environment, Soils & Land Use, Teagasc Environment Research Centre, Johnstown Castle, Co., Wexford, Ireland.
| | - C Müller
- Institute of Plant Ecology (IFZ), Justus-Liebig University Giessen, Germany; School of Biology and Environmental Science and Earth Institute, University College Dublin, Belfield, Dublin, 4, Ireland
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