Data · dataset · 2015
Sampling guidelines and analytical optimization for direct greenhouse gas emissions from tropical rice and upland cropping systems
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We describe a modified manual closed-chamber approach with detachable lid and vertically stackable chambers for sampling followed by simultaneous analysis of nitrous oxide (N 2 O) and methane (CH 4 ) for measuring greenhouse gas flux from rice and upland cropping systems in peninsular India.
Description
A meta-analysis of leading internationally/regionally recommended approaches to monitor agricultural GHG emissions is presented to put our sampling choices (e.g., chamber design, sampling intensity, sample storage and analytical corrections) into perspective.
Given our set-up, the sample retention capacity of polypropylene syringes and crimped glass vials with grey butyl-rubber septa was ∼6 hours and 10 days, respectively; and temperature correction of N 2 O and CH 4 concentrations was essential but plant volume correction did not affect the flux rates substantially. Optimization of gas flow rates, pre-column sample retention period, oxygen venting and temperature/current were found to reduce run time from >14 to 7 min per sample and enhance sensitivity by 30–40% while improving analytical precision from 15–30% to < 2% relative standard deviation (RSD).
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We suggest an alternative to the linear interpolation approach of integrating the area under the N 2 O peak because linear interpolation can overestimate the cumulative seasonal N 2 O emissions by 50–100%, especially after fertilization and/or rain events.
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- Repository landing page tandf.figshare.com/articles/dataset/Sampling_guidelines_and_analytical_optimizati… ↗
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- DOI doi.org/10.6084/m9.figshare.1580032 ↗
DOI / persistent id · from DataCite
- DOI doi.org/10.6084/m9.figshare.1580032.v2 ↗
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- IsSupplementTo 10.1080/17583004.2015.1082233 doi.org/10.1080/17583004.2015.1082233 ↗
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Provenance · 2 source records, 16 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| DataCite | 10.6084/m9.figshare.1580032 | 14 d ago | JSON v1 |
| DataCite | 10.6084/m9.figshare.1580032.v2 | 14 d ago | JSON v1 |
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