Scenario-Based Modeling of Agricultural Nitrous Oxide Emissions in China
Agricultural land in China represents a major source of nitrous oxide (N<sub>2</sub>O) emissions, and as population growth and technological advancements drive agricultural intensification, these emissions are projected to increase. A thorough understanding of historical trends and futur...
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| Format: | Article |
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MDPI AG
2024-11-01
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| Series: | Agriculture |
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| Online Access: | https://www.mdpi.com/2077-0472/14/11/2074 |
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| author | Miaoling Bu Weiming Xi Yu Wang Guofeng Wang |
| author_facet | Miaoling Bu Weiming Xi Yu Wang Guofeng Wang |
| author_sort | Miaoling Bu |
| collection | DOAJ |
| description | Agricultural land in China represents a major source of nitrous oxide (N<sub>2</sub>O) emissions, and as population growth and technological advancements drive agricultural intensification, these emissions are projected to increase. A thorough understanding of historical trends and future dynamics of these emissions is critical for formulating effective mitigation strategies and advancing progress toward the Sustainable Development Goals. This study quantifies N<sub>2</sub>O emissions across 31 provinces in China from 2000 to 2021, employing the IPCC coefficient method alongside China’s provincial greenhouse gas inventory guidelines. The spatiotemporal evolution of emission intensities was examined, with the Stochastic Impacts by Regression on Population, Affluence, and Technology (STIRPAT) model employed to assess the influence of population, technological development, economic growth, and energy structure. The findings confirm that agricultural land remains the primary source of N<sub>2</sub>O emissions, with significantly higher levels observed in eastern coastal regions compared to western inland areas. Implementing targeted mitigation strategies, such as enhanced agricultural- and manure-management practices and region-specific interventions, is imperative to effectively curb the rising emission trends. |
| format | Article |
| id | doaj-art-b36ca683ccf545039823a4521257aaec |
| institution | Kabale University |
| issn | 2077-0472 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Agriculture |
| spelling | doaj-art-b36ca683ccf545039823a4521257aaec2024-11-26T17:43:56ZengMDPI AGAgriculture2077-04722024-11-011411207410.3390/agriculture14112074Scenario-Based Modeling of Agricultural Nitrous Oxide Emissions in ChinaMiaoling Bu0Weiming Xi1Yu Wang2Guofeng Wang3Law School, Shanxi University of Finance and Economics, 140 Wucheng Road, Xiaodian District, Taiyuan 030006, ChinaLaw School, Shanxi University of Finance and Economics, 140 Wucheng Road, Xiaodian District, Taiyuan 030006, ChinaBusiness School, Beijing Technology and Business University, Beijing 100048, ChinaInstitute of Platform Economics, Shanxi University of Finance and Economics, Taiyuan 030006, ChinaAgricultural land in China represents a major source of nitrous oxide (N<sub>2</sub>O) emissions, and as population growth and technological advancements drive agricultural intensification, these emissions are projected to increase. A thorough understanding of historical trends and future dynamics of these emissions is critical for formulating effective mitigation strategies and advancing progress toward the Sustainable Development Goals. This study quantifies N<sub>2</sub>O emissions across 31 provinces in China from 2000 to 2021, employing the IPCC coefficient method alongside China’s provincial greenhouse gas inventory guidelines. The spatiotemporal evolution of emission intensities was examined, with the Stochastic Impacts by Regression on Population, Affluence, and Technology (STIRPAT) model employed to assess the influence of population, technological development, economic growth, and energy structure. The findings confirm that agricultural land remains the primary source of N<sub>2</sub>O emissions, with significantly higher levels observed in eastern coastal regions compared to western inland areas. Implementing targeted mitigation strategies, such as enhanced agricultural- and manure-management practices and region-specific interventions, is imperative to effectively curb the rising emission trends.https://www.mdpi.com/2077-0472/14/11/2074nitrous oxide from agricultural sourcesIPCC coefficient methodspatiotemporal evolutionscenario forecasting |
| spellingShingle | Miaoling Bu Weiming Xi Yu Wang Guofeng Wang Scenario-Based Modeling of Agricultural Nitrous Oxide Emissions in China Agriculture nitrous oxide from agricultural sources IPCC coefficient method spatiotemporal evolution scenario forecasting |
| title | Scenario-Based Modeling of Agricultural Nitrous Oxide Emissions in China |
| title_full | Scenario-Based Modeling of Agricultural Nitrous Oxide Emissions in China |
| title_fullStr | Scenario-Based Modeling of Agricultural Nitrous Oxide Emissions in China |
| title_full_unstemmed | Scenario-Based Modeling of Agricultural Nitrous Oxide Emissions in China |
| title_short | Scenario-Based Modeling of Agricultural Nitrous Oxide Emissions in China |
| title_sort | scenario based modeling of agricultural nitrous oxide emissions in china |
| topic | nitrous oxide from agricultural sources IPCC coefficient method spatiotemporal evolution scenario forecasting |
| url | https://www.mdpi.com/2077-0472/14/11/2074 |
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