Assessing the Influence Factors of Agricultural Soils’ CH<sub>4</sub>/N<sub>2</sub>O Emissions Based on the Revised EDGAR Datasets over Hainan Island in China
Global warming poses a significant environmental challenge, which is primarily driven by the increase in greenhouse gas concentrations. In this study, we aimed to investigate the factors influencing CH<sub>4</sub>/N<sub>2</sub>O emissions from agricultural soils over Hainan I...
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| Format: | Article |
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MDPI AG
2023-10-01
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| Series: | Atmosphere |
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| Online Access: | https://www.mdpi.com/2073-4433/14/10/1547 |
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| author | Jiayu Song Jun Wei Wenming Zhou Jie Zhang Wenjie Liu Feixiang Zhang Haiyan Zhou |
| author_facet | Jiayu Song Jun Wei Wenming Zhou Jie Zhang Wenjie Liu Feixiang Zhang Haiyan Zhou |
| author_sort | Jiayu Song |
| collection | DOAJ |
| description | Global warming poses a significant environmental challenge, which is primarily driven by the increase in greenhouse gas concentrations. In this study, we aimed to investigate the factors influencing CH<sub>4</sub>/N<sub>2</sub>O emissions from agricultural soils over Hainan Island, China, from 2009 to 2018. To achieve this, we selected air temperature, precipitation, and solar radiation as climate factors and categorized farmland as paddy or non-paddy, using revised EDGAR greenhouse gas datasets involving the bias correction method, and geographical detector analysis, multiple linear regression models, and bias sensitivity analysis were used to quantify the sensitivity of climate and land use. The maximum air temperature emerged as the primary factor influencing CH<sub>4</sub> emissions, while the mean air temperature predominantly affected N<sub>2</sub>O emissions. The ratio of paddy field area to city area emerged as the second most influential factor impacting CH<sub>4</sub>/N<sub>2</sub>O emissions. The mean CH<sub>4</sub>/N<sub>2</sub>O emission intensity from paddy fields was significantly higher (0.42 t·hm<sup>−2</sup>/0.0068 t·hm<sup>−2</sup>) compared to that of non-paddy fields (0.04 t·hm<sup>−2</sup>/0.002 t·hm<sup>−2</sup>). Changes in maximum air temperature under global warming and crop irrigation practices profoundly affect greenhouse gas emissions on Hainan Island. Specifically, the emission intensities of CH<sub>4</sub> and N<sub>2</sub>O increased by 14.2% and 11.14% for each Kelvin warmer, respectively. |
| first_indexed | 2024-03-10T21:27:17Z |
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| institution | Directory Open Access Journal |
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| language | English |
| last_indexed | 2024-03-10T21:27:17Z |
| publishDate | 2023-10-01 |
| publisher | MDPI AG |
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| series | Atmosphere |
| spelling | doaj.art-4163036a5ec348b19b3c7a5f61adfde12023-11-19T15:36:34ZengMDPI AGAtmosphere2073-44332023-10-011410154710.3390/atmos14101547Assessing the Influence Factors of Agricultural Soils’ CH<sub>4</sub>/N<sub>2</sub>O Emissions Based on the Revised EDGAR Datasets over Hainan Island in ChinaJiayu Song0Jun Wei1Wenming Zhou2Jie Zhang3Wenjie Liu4Feixiang Zhang5Haiyan Zhou6Key Laboratory of Agro-Forestry Environmental Processes and Ecological Regulation of Hainan Province, Hainan University, Haikou 570228, ChinaPower China Huadong Engineering Corporation Limited, Hangzhou 311122, ChinaPower China Huadong Engineering Corporation Limited, Hangzhou 311122, ChinaKey Laboratory of Agro-Forestry Environmental Processes and Ecological Regulation of Hainan Province, Hainan University, Haikou 570228, ChinaKey Laboratory of Agro-Forestry Environmental Processes and Ecological Regulation of Hainan Province, Hainan University, Haikou 570228, ChinaKey Laboratory of Agro-Forestry Environmental Processes and Ecological Regulation of Hainan Province, Hainan University, Haikou 570228, ChinaKey Laboratory of Agro-Forestry Environmental Processes and Ecological Regulation of Hainan Province, Hainan University, Haikou 570228, ChinaGlobal warming poses a significant environmental challenge, which is primarily driven by the increase in greenhouse gas concentrations. In this study, we aimed to investigate the factors influencing CH<sub>4</sub>/N<sub>2</sub>O emissions from agricultural soils over Hainan Island, China, from 2009 to 2018. To achieve this, we selected air temperature, precipitation, and solar radiation as climate factors and categorized farmland as paddy or non-paddy, using revised EDGAR greenhouse gas datasets involving the bias correction method, and geographical detector analysis, multiple linear regression models, and bias sensitivity analysis were used to quantify the sensitivity of climate and land use. The maximum air temperature emerged as the primary factor influencing CH<sub>4</sub> emissions, while the mean air temperature predominantly affected N<sub>2</sub>O emissions. The ratio of paddy field area to city area emerged as the second most influential factor impacting CH<sub>4</sub>/N<sub>2</sub>O emissions. The mean CH<sub>4</sub>/N<sub>2</sub>O emission intensity from paddy fields was significantly higher (0.42 t·hm<sup>−2</sup>/0.0068 t·hm<sup>−2</sup>) compared to that of non-paddy fields (0.04 t·hm<sup>−2</sup>/0.002 t·hm<sup>−2</sup>). Changes in maximum air temperature under global warming and crop irrigation practices profoundly affect greenhouse gas emissions on Hainan Island. Specifically, the emission intensities of CH<sub>4</sub> and N<sub>2</sub>O increased by 14.2% and 11.14% for each Kelvin warmer, respectively.https://www.mdpi.com/2073-4433/14/10/1547greenhouse gasglobal warmingHainan IslandEDGAR datasetmaximum air temperaturepaddy field |
| spellingShingle | Jiayu Song Jun Wei Wenming Zhou Jie Zhang Wenjie Liu Feixiang Zhang Haiyan Zhou Assessing the Influence Factors of Agricultural Soils’ CH<sub>4</sub>/N<sub>2</sub>O Emissions Based on the Revised EDGAR Datasets over Hainan Island in China Atmosphere greenhouse gas global warming Hainan Island EDGAR dataset maximum air temperature paddy field |
| title | Assessing the Influence Factors of Agricultural Soils’ CH<sub>4</sub>/N<sub>2</sub>O Emissions Based on the Revised EDGAR Datasets over Hainan Island in China |
| title_full | Assessing the Influence Factors of Agricultural Soils’ CH<sub>4</sub>/N<sub>2</sub>O Emissions Based on the Revised EDGAR Datasets over Hainan Island in China |
| title_fullStr | Assessing the Influence Factors of Agricultural Soils’ CH<sub>4</sub>/N<sub>2</sub>O Emissions Based on the Revised EDGAR Datasets over Hainan Island in China |
| title_full_unstemmed | Assessing the Influence Factors of Agricultural Soils’ CH<sub>4</sub>/N<sub>2</sub>O Emissions Based on the Revised EDGAR Datasets over Hainan Island in China |
| title_short | Assessing the Influence Factors of Agricultural Soils’ CH<sub>4</sub>/N<sub>2</sub>O Emissions Based on the Revised EDGAR Datasets over Hainan Island in China |
| title_sort | assessing the influence factors of agricultural soils ch sub 4 sub n sub 2 sub o emissions based on the revised edgar datasets over hainan island in china |
| topic | greenhouse gas global warming Hainan Island EDGAR dataset maximum air temperature paddy field |
| url | https://www.mdpi.com/2073-4433/14/10/1547 |
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