Bamboo culm and soil carbon flux synchronous measurement system: a continuous monitoring technique incorporating flow adaptive algorithms

To address the limitations of existing open-path chambers in terms of continuous monitoring stability and dynamic response capability, this study developed a synchronous measurement system (ACM) for bamboo culm and soil carbon fluxes, integrating an ambient air stabilization unit and a concentration-feedback adaptive control algorithm (log-PI control). Based on the open-path gas-exchange chamber principle, the system dynamically and stably regulates the CO₂ concentration inside the chamber, effectively suppressing high-frequency noise and reducing systematic errors, thus enabling long-term, high-frequency reliable monitoring. Using a Lei bamboo ( Phyllostachys praecox ) stand as the test object, a 22-day comparative observation (10 February – 3 March 2026) was conducted at Zhejiang A&F University. The results showed that the daily mean CO₂ flux from bamboo culms was 0.079 ± 0.018 µmol m⁻² s⁻¹, and that from soil was 1.196 ± 0.145 µmol m⁻² s⁻¹. The outlier proportions of the ACM system (Fb 0.1%, Fs 0.2%) were significantly lower than those of the conventional fixed-flow system (NCM) and the non-steady-state intermittent monitoring system (NSM), indicating more robust measurements. This system provides a reliable technical approach for carbon flux studies in bamboo forest ecosystems and holds promise for application to stems of other woody plants, thereby improving the accuracy of terrestrial carbon cycle assessments.

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Publication Details

Journal
Plant Methods
Published
2026-08-25
DOI
https://doi.org/10.1186/s13007-026-01589-4
Primary Topic
Plant Water Relations and Carbon Dynamics
Type
article
Field-Weighted Citation Impact
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article

Bamboo culm and soil carbon flux synchronous measurement system: a continuous monitoring technique incorporating flow adaptive algorithms

Yi Cui, Junjie Jiang, Taolve Chen, Jiahao Liu et al.
Plant Methods
Plant Water Relations and Carbon Dynamics
article

Bamboo culm and soil carbon flux synchronous measurement system: a continuous monitoring technique incorporating flow adaptive algorithms

Yi Cui, Junjie Jiang, Taolve Chen, Jiahao Liu, Junguo Hu, Lingxia Feng
article en

Abstract

To address the limitations of existing open-path chambers in terms of continuous monitoring stability and dynamic response capability, this study developed a synchronous measurement system (ACM) for bamboo culm and soil carbon fluxes, integrating an ambient air stabilization unit and a concentration-feedback adaptive control algorithm (log-PI control). Based on the open-path gas-exchange chamber principle, the system dynamically and stably regulates the CO₂ concentration inside the chamber, effectively suppressing high-frequency noise and reducing systematic errors, thus enabling long-term, high-frequency reliable monitoring. Using a Lei bamboo ( Phyllostachys praecox ) stand as the test object, a 22-day comparative observation (10 February – 3 March 2026) was conducted at Zhejiang A&F University. The results showed that the daily mean CO₂ flux from bamboo culms was 0.079 ± 0.018 µmol m⁻² s⁻¹, and that from soil was 1.196 ± 0.145 µmol m⁻² s⁻¹. The outlier proportions of the ACM system (Fb 0.1%, Fs 0.2%) were significantly lower than those of the conventional fixed-flow system (NCM) and the non-steady-state intermittent monitoring system (NSM), indicating more robust measurements. This system provides a reliable technical approach for carbon flux studies in bamboo forest ecosystems and holds promise for application to stems of other woody plants, thereby improving the accuracy of terrestrial carbon cycle assessments.

Plant Methods
Zhejiang A & F University (CN), Zhejiang Academy of Forestry (CN)
Life in Land
Openalex Percentile: Top 12%
Plant Water Relations and Carbon Dynamics
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Bamboo culm and soil carbon flux synchronous measurement system: a continuous monitoring technique incorporating flow adaptive algorithms — Yi Cui, Junjie Jiang, et al. · Plant Methods (2026) | TGRS Research Map | TGRS