Influence of No-Tillage on Soil CO<sub>2</sub> Emissions Affected by Monitoring Hours in Maize in the North China Plain
There is still controversy over the influence of no-tillage (NT) on CO<sub>2</sub> emissions in farmland soil. Few studies focus on the impact of monitoring hours on the response of soil CO<sub>2</sub> emissions to NT. Therefore, an in situ experiment was conducted in maize c...
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2025-01-01
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author | Kun Du Fadong Li Peifang Leng Qiuying Zhang |
author_facet | Kun Du Fadong Li Peifang Leng Qiuying Zhang |
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description | There is still controversy over the influence of no-tillage (NT) on CO<sub>2</sub> emissions in farmland soil. Few studies focus on the impact of monitoring hours on the response of soil CO<sub>2</sub> emissions to NT. Therefore, an in situ experiment was conducted in maize cropland in the Shandong Yucheng Agro-ecosystem National Observation and Research Station in the North China Plain. The soil CO<sub>2</sub> emissions, soil water content (SWC), and soil temperature (ST) were automatically monitored using the morning sampling (MonS) and continuous sampling (multi-hour sampling in one day, DayS) methods during the whole maize growth stages. The results showed that the MonS method decreased the sum of soil CO<sub>2</sub> emissions by 146.39 g CO<sub>2</sub> m<sup>−2</sup> in the wet year 2018 and increased that by 93.69 g CO<sub>2</sub> m<sup>−2</sup> in the dry year 2019 when compared to the DayS method. The influence intensity of NT on soil CO<sub>2</sub> effluxes was decreased with the MonS method. In contrast, the MonS method had no significant effect on the differences in SWC between NT and conventional tillage. However, the MonS method increased the variance in ST between NT and conventional tillage by 0.45 °C, which was higher than that with the DayS method (0.20 °C) across years. Compared to the DayS method, the MonS method increased the regression coefficient of soil CO<sub>2</sub> emissions with SWC but decreased that with ST. This study is beneficial for reducing the artificial impact of monitoring hours on the data accuracy of soil CO<sub>2</sub> effluxes and deepening the understanding of the influence of NT on soil CO<sub>2</sub> emissions. |
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spelling | doaj-art-a28f261c2f464503ba63fdfcccbb96f62025-01-24T13:16:52ZengMDPI AGAgronomy2073-43952025-01-0115113610.3390/agronomy15010136Influence of No-Tillage on Soil CO<sub>2</sub> Emissions Affected by Monitoring Hours in Maize in the North China PlainKun Du0Fadong Li1Peifang Leng2Qiuying Zhang3Shandong Provincial Key Laboratory of Water and Soil Conservation and Environmental Protection, College of Resources and Environment, Linyi University, Linyi 276000, ChinaShandong Yucheng Agro-Ecosystem National Observation and Research Station, Yucheng Comprehensive Experiment Station, IGSNRR, Chinese Academy of Sciences, Beijing 100101, ChinaShandong Yucheng Agro-Ecosystem National Observation and Research Station, Yucheng Comprehensive Experiment Station, IGSNRR, Chinese Academy of Sciences, Beijing 100101, ChinaChinese Research Academy of Environmental Sciences, Beijing 100101, ChinaThere is still controversy over the influence of no-tillage (NT) on CO<sub>2</sub> emissions in farmland soil. Few studies focus on the impact of monitoring hours on the response of soil CO<sub>2</sub> emissions to NT. Therefore, an in situ experiment was conducted in maize cropland in the Shandong Yucheng Agro-ecosystem National Observation and Research Station in the North China Plain. The soil CO<sub>2</sub> emissions, soil water content (SWC), and soil temperature (ST) were automatically monitored using the morning sampling (MonS) and continuous sampling (multi-hour sampling in one day, DayS) methods during the whole maize growth stages. The results showed that the MonS method decreased the sum of soil CO<sub>2</sub> emissions by 146.39 g CO<sub>2</sub> m<sup>−2</sup> in the wet year 2018 and increased that by 93.69 g CO<sub>2</sub> m<sup>−2</sup> in the dry year 2019 when compared to the DayS method. The influence intensity of NT on soil CO<sub>2</sub> effluxes was decreased with the MonS method. In contrast, the MonS method had no significant effect on the differences in SWC between NT and conventional tillage. However, the MonS method increased the variance in ST between NT and conventional tillage by 0.45 °C, which was higher than that with the DayS method (0.20 °C) across years. Compared to the DayS method, the MonS method increased the regression coefficient of soil CO<sub>2</sub> emissions with SWC but decreased that with ST. This study is beneficial for reducing the artificial impact of monitoring hours on the data accuracy of soil CO<sub>2</sub> effluxes and deepening the understanding of the influence of NT on soil CO<sub>2</sub> emissions.https://www.mdpi.com/2073-4395/15/1/136no-tillagesoil CO<sub>2</sub> emissionsmonitoring hoursmaize |
spellingShingle | Kun Du Fadong Li Peifang Leng Qiuying Zhang Influence of No-Tillage on Soil CO<sub>2</sub> Emissions Affected by Monitoring Hours in Maize in the North China Plain Agronomy no-tillage soil CO<sub>2</sub> emissions monitoring hours maize |
title | Influence of No-Tillage on Soil CO<sub>2</sub> Emissions Affected by Monitoring Hours in Maize in the North China Plain |
title_full | Influence of No-Tillage on Soil CO<sub>2</sub> Emissions Affected by Monitoring Hours in Maize in the North China Plain |
title_fullStr | Influence of No-Tillage on Soil CO<sub>2</sub> Emissions Affected by Monitoring Hours in Maize in the North China Plain |
title_full_unstemmed | Influence of No-Tillage on Soil CO<sub>2</sub> Emissions Affected by Monitoring Hours in Maize in the North China Plain |
title_short | Influence of No-Tillage on Soil CO<sub>2</sub> Emissions Affected by Monitoring Hours in Maize in the North China Plain |
title_sort | influence of no tillage on soil co sub 2 sub emissions affected by monitoring hours in maize in the north china plain |
topic | no-tillage soil CO<sub>2</sub> emissions monitoring hours maize |
url | https://www.mdpi.com/2073-4395/15/1/136 |
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