Diurnal variations of the greenhouse gases emission and their optimal observation duration under different tillage systems

Shenzhong, 田慎重 Tian; Tangyuan, 宁堂原 Ning; Shuyun, 迟淑筠 Chi; Yu, 王瑜 Wang; Bingwen, 王丙文 Wang; Huifang, 韩惠芳 Han; Chengqing, 李成庆 Li; Zengjia, 李增嘉 Li

doi:10.5846/stxb201108021132

Cited by 9 publications

(2 citation statements)

References 1 publication

(1 reference statement)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Soil GHG samples were collected every two hours for 48 consecutive hours using the manual static chamber method, as described by Tian et al [28]. This experiment was conducted in the dry season in 2023 from 8:00 on 10 April to 8:00 on 12 April, as well as wet season in 2023 from 8:00 on 22 September to 8:00 on 24 September.…”

Section: Greenhouse Gas Sampling and Analysismentioning

confidence: 99%

“…The U-shaped groove (2 cm wide and 3 cm deep) on the base box was used to maintain a water-sealed connection with the chamber box. A 60-mL airtight syringe was used to collect 30 mL of gas samples after the chamber had been closed for 5 and 30 min [28]. These samples were then stored in 12 mL negative-pressure chromatography vials.…”

Section: Greenhouse Gas Sampling and Analysismentioning

confidence: 99%

See 1 more Smart Citation

Determining Suitable Sampling Times for Soil CO2 and N2O Emissions Helps to Accurately Evaluate the Ability of Rubber-Based Agroforestry Systems to Cope with Climate Stress

Xian,

Li,

Zhang

et al. 2024

Forests

View full text Add to dashboard Cite

Agroforestry is known to significantly improve long-term land productivity, potentially enhancing the ability to cope with climate stress. However, there is limited information regarding the accurate monitoring of greenhouse gases (GHGs) in rubber-based agroforestry systems. Before GHGs can be accurately estimated, the diurnal variations and suitable sampling times must be studied to reduce the uncertainty of the manual static chamber method. In this study, the soil GHGs emitted from conventional single-row (SR) and improved double-row (DR) rubber plantations were compared across the dry and wet seasons in Hainan, China. A total of 1728 GHG samples from a field trial were collected, analyzed, and related to environmental factors. The results demonstrated that the diurnal fluxes of CO2 in rubber plantations were likely to remain fluctuating, with the maximum typically occurring during the night-time and daytime hours of the dry and wet seasons, respectively. A clearer double-peak (around 2:00 and 14:00) during the dry season and a daytime peak (14:00) during the wet season of the N2O were recorded. In addition to the commonalities, different seasons and different types of GHGs and rubber plantations also differed in their detailed fluctuation times and ranges; therefore, the determination of suitable sampling times should not ignore these factors in certain cases. Based on this study, it was determined that the late afternoon (16:00–18:00) was the suitable sampling time of soil GHGs in rubber plantations, instead of the most common morning times (with an underestimation of 25% on average). In addition, the air humidity during the dry season and the soil temperature during the wet season were both positively correlated with GHGs (p < 0.05). This study highlights the significance of accurately monitoring soil GHGs in rubber-based agroforestry systems, providing a basic reference for the development and management of climate-smart land use practices in rubber plantations.

show abstract

Section: Greenhouse Gas Sampling and Analysismentioning

confidence: 99%

Section: Greenhouse Gas Sampling and Analysismentioning

confidence: 99%

Determining Suitable Sampling Times for Soil CO2 and N2O Emissions Helps to Accurately Evaluate the Ability of Rubber-Based Agroforestry Systems to Cope with Climate Stress

Xian,

Li,

Zhang

et al. 2024

Forests

View full text Add to dashboard Cite

show abstract

Combined application of organic and inorganic fertilizers mitigates ammonia and nitrous oxide emissions in a maize field

Yang

Liu

Dong

et al. 2020

Nutr Cycl Agroecosyst

View full text Add to dashboard Cite

Comparison of three models for simulating N2O emissions from paddy fields under water-saving irrigation

Zhang

2014

Atmospheric Environment

View full text Add to dashboard Cite

Diurnal variations of the greenhouse gases emission and their optimal observation duration under different tillage systems

Abstract: variations of the greenhouse gases emission and their optimal observation duration under different tillage systems. Acta Ecologica Sinica,2012,32(3) :879鄄888.

Cited by 9 publications

References 1 publication

Determining Suitable Sampling Times for Soil CO2 and N2O Emissions Helps to Accurately Evaluate the Ability of Rubber-Based Agroforestry Systems to Cope with Climate Stress

Determining Suitable Sampling Times for Soil CO2 and N2O Emissions Helps to Accurately Evaluate the Ability of Rubber-Based Agroforestry Systems to Cope with Climate Stress

Combined application of organic and inorganic fertilizers mitigates ammonia and nitrous oxide emissions in a maize field

Comparison of three models for simulating N2O emissions from paddy fields under water-saving irrigation

Contact Info

Product

Resources

About