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Nitrogen management to minimize yield-scaled ammonia emission from paddy rice in the Middle and Lower Yangtze River Basin: A meta-analysis.

Authors :
Cai S
Zhao X
Liu X
Yan X
Source :
Environmental pollution (Barking, Essex : 1987) [Environ Pollut] 2023 Feb 01; Vol. 318, pp. 120854. Date of Electronic Publication: 2022 Dec 09.
Publication Year :
2023

Abstract

Paddy fields in China contributed to one third of the global cropland ammonia (NH <subscript>3</subscript> ) emission inventory, while rice accounted for half of cereal consumption, necessitating exhaustive considerations of the balance between NH <subscript>3</subscript> emissions abatement and food demand. The concept of yield-scaled emission intensity (emissions per unit crop production) has the potential to guide sustainable intensification strategies, yet its application to NH <subscript>3</subscript> emissions remains poorly understood. Here, by constructing novel crop-specific models for single rice production and NH <subscript>3</subscript> emissions in the Middle and Lower Yangtze River Basin (LYRB) as a case study, the relationships between fertilizer N application and yield-scaled NH <subscript>3</subscript> were estimated. Contrary to our hypothesis of a tipping point, our results showed that yield-scaled NH <subscript>3</subscript> curves could not directly identify optimal nitrogen (N) rates. However, the benefit of lower N fertilizer rate on NH <subscript>3</subscript> abatement consistently outweighed the risk of yield loss. The exponential relationships between yield-scaled NH <subscript>3</subscript> and N surplus allowed us to estimate the N surplus criterion as 15.6 kg N ha <superscript>-1</superscript> (or 190 kg N ha <superscript>-1</superscript> fertilizer N rate) for the LYRB. Under the N surplus criterion, NH <subscript>3</subscript> emissions can be reduced by 23-27% without severely impacting rice yield, compared to the N rate required for the highest yield. Moreover, five major controlling factors for yield-scaled NH <subscript>3</subscript> were estimated by random forest models, ranked in order of importance as N rate, total N, K rate, mean annual precipitation, and soil organic carbon. Among the agricultural practices (irrigation, tillage, and fertilizer management), deep placement was the most effective measure to reduce yield-scaled NH <subscript>3,</subscript> showing 48% reduction potential, followed by proper N splitting frequency (43%). Overall, this study highlights the efficacy of N application optimization and targeted farm management in mitigating NH <subscript>3</subscript> emission while maintaining crop productivity.<br />Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.<br /> (Copyright © 2022 Elsevier Ltd. All rights reserved.)

Details

Language :
English
ISSN :
1873-6424
Volume :
318
Database :
MEDLINE
Journal :
Environmental pollution (Barking, Essex : 1987)
Publication Type :
Academic Journal
Accession number :
36509351
Full Text :
https://doi.org/10.1016/j.envpol.2022.120854