Disentangling Diel Variations in the Carbon Isotopic Composition of Soil CO2 Efflux: Insights from a Multi-chamber System and a Non-Steady-State Model
文献类型：期刊论文
| 作者 | Chen, Changhua1; Wei, Jie1; Wang, Jingyuan1; Guo, Qingjun1,3,4; Wen, Xuefa1,2,3 |
| 刊名 | JOURNAL OF SOIL SCIENCE AND PLANT NUTRITION
 |
| 出版日期 | 2022-05-20 |
| 页码 | 14 |
| 关键词 | Soil CO2 efflux Carbon isotope Diffusive fractionation Non-steady state Closed chamber |
| ISSN号 | 0718-9508 |
| DOI | 10.1007/s42729-022-00870-4 |
| 通讯作者 | Wen, Xuefa(wenxf@igsnrr.ac.cn) |
| 英文摘要 | Soil carbon dioxide (CO2) efflux (F-s) and its carbon isotopic composition (delta(Fs)) based on the chamber methods are widely used to represent soil respiration and its carbon isotopic signature. However, the effects of diffusive transport-induced fractionation and measured random errors of the chamber system on the capture of diel delta(Fs), especially at a low F-s, remain unidentified. We aimed to investigate the did variations in delta(Fs) and improve the mechanistic understanding of delta F-s using the chamber methods. We developed a multi-chamber system with a Picarro carbon isotopic analyzer to measure did F-s and delta(Fs) in a subtropical plantation and conducted flux tests to verify the performance of our chamber system beforehand. The did delta(Fs) variations were disentangled with support from a non-steady state diffusion (NSS) model. There were no remarkable systematic errors using our chamber system, F-s was clear with a did amplitude< 4 mu mol M-2 s(-1), but delta(Fs) showed no did variation when random errors were greater than similar to 2 parts per thousand. The NSS model results showed that did trends of modeled delta(Fs) were highest in the morning and lowest in the afternoon, and the diffusive fractionation had a profound effect on the delta(Fs) variations, especially when F-s was low. Flux simulation tests and in situ measurements showed that measured random errors in delta(Fs) increased exponentially with decreasing F-s. The did variations in delta(Fs) might not be disentangled at low F-s when its random errors were beyond the amplitude of did delta(Fs) and were aggravated by the effects of diffusive fractionation. |
| WOS关键词 | TUNABLE DIODE-LASER ; SHORT-TERM DYNAMICS ; RESPIRED CO2 ; GRADIENT-METHOD ; CHAMBER SYSTEM ; FOREST SOIL ; RESPIRATION ; DELTA-C-13 ; FLUX ; FRACTIONATION |
| 资助项目 | National Natural Science Foundation of China[41830860] ; National Natural Science Foundation of China[31901133] ; China Postdoctoral Science Foundation[2019M660779] |
| WOS研究方向 | Plant Sciences ; Environmental Sciences & Ecology ; Agriculture |
| 语种 | 英语 |
| WOS记录号 | WOS:000798331800001 |
| 出版者 | SPRINGER INT PUBL AG |
| 资助机构 | National Natural Science Foundation of China ; China Postdoctoral Science Foundation |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/177005]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Wen, Xuefa |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modelling, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Beijing Yanshan Earth Crit Zone Natl Res Stn, Beijing 101408, Peoples R China 3.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 101408, Peoples R China 4.Chinese Acad Sci, Ctr Environm Remediat, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Chen, Changhua,Wei, Jie,Wang, Jingyuan,et al. Disentangling Diel Variations in the Carbon Isotopic Composition of Soil CO2 Efflux: Insights from a Multi-chamber System and a Non-Steady-State Model[J]. JOURNAL OF SOIL SCIENCE AND PLANT NUTRITION,2022:14. |
| APA | Chen, Changhua,Wei, Jie,Wang, Jingyuan,Guo, Qingjun,&Wen, Xuefa.(2022).Disentangling Diel Variations in the Carbon Isotopic Composition of Soil CO2 Efflux: Insights from a Multi-chamber System and a Non-Steady-State Model.JOURNAL OF SOIL SCIENCE AND PLANT NUTRITION,14. |
| MLA | Chen, Changhua,et al."Disentangling Diel Variations in the Carbon Isotopic Composition of Soil CO2 Efflux: Insights from a Multi-chamber System and a Non-Steady-State Model".JOURNAL OF SOIL SCIENCE AND PLANT NUTRITION (2022):14. |
入库方式： OAI收割
来源：地理科学与资源研究所
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