Non-steady-state closed dynamic chamber to measure soil CO2 respiration: A protocol to reduce uncertainty

Frontiers in Environmental Science

Environmental Science

Ilaria Baneschi¹  Matteo Lelli¹  Mariasilvia Giamberini¹  Antonello Provenzale¹  Massimo Guidi¹  Brunella Raco¹  Pietro Mosca²  Marta Magnani³  Leonardo Coppo⁴ 

[1] Istituto di Geoscienze e Georisorse, Consiglio Nazionale delle Ricerche, Pisa, Italy;Istituto di Geoscienze e Georisorse, Consiglio Nazionale delle Ricerche, Torino, Italy;Istituto di Geoscienze e Georisorse, Consiglio Nazionale delle Ricerche, Torino, Italy;University of Turin, INFN, Torino, Italy;West Systems, Pontedera, Italy;

关键词: CO flux;    measurement protocol;    accumulation chamber;    calibration;    soil gas emissions;    ecosystem respiration;   

DOI  :  10.3389/fenvs.2022.1048948

 received in 2022-09-21, accepted in 2022-12-05,  发布年份 2023

来源: Frontiers

【 摘 要 】

Non-steady-state closed dynamic accumulation chambers are widely used to measure the respiration of terrestrial ecosystems, thanks to their low cost, low energy consumption and simple transportability, that allow measurements even in hostile and remote environments. However, the assessment of the accuracy and precision associated with the measurement system (independently of possible disturbances due to chamber-soil interactions) is rarely reported. This information is instead necessary for basic quality control, to compare data obtained by different devices and regression models and to provide Confidence Intervals (CIs) on the carbon flux values. This study quantifies the uncertainty associated with emission flux measurements, with a focus on very low fluxes. Calibration tests using different accumulation chambers and CO2 sensors were performed, and fluxes were calculated by means of different models (parametric, non-parametric and flux models). The results of this work show that the linear regression model has the best reproducibility when compared to the other tested models, regardless of the sensor used and the chamber volumes, while the second order polynomial regression has the best accuracy. We remark the importance of building a calibration curve in the range of the expected flux values, with an interval between the lowest and highest imposed flux that should not exceed two orders of magnitude. To evaluate the reproducibility of the measurement, performing replicates for each imposed flux value is essential. We also show that it is necessary to carefully identify the best time interval for interpolating the CO2 concentration curve in order to guarantee reproducibility and accuracy in flux estimates.

【 授权许可】

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Copyright © 2023 Baneschi, Raco, Magnani, Giamberini, Lelli, Mosca, Provenzale, Coppo and Guidi.