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Developing an Automated Gas Sampling Chamber for Measuring Variations in CO(2) Exchange in a Maize Ecosystem at Night
The measurement of net ecosystem exchange (NEE) of field maize at a plot-sized scale is of great significance for assessing carbon emissions. Chamber methods remain the sole approach for measuring NEE at a plot-sized scale. However, traditional chamber methods are disadvantaged by their high labor i...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7662807/ https://www.ncbi.nlm.nih.gov/pubmed/33121201 http://dx.doi.org/10.3390/s20216117 |
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author | Li, Chaoqun Han, Wenting Peng, Manman Zhang, Mengfei |
author_facet | Li, Chaoqun Han, Wenting Peng, Manman Zhang, Mengfei |
author_sort | Li, Chaoqun |
collection | PubMed |
description | The measurement of net ecosystem exchange (NEE) of field maize at a plot-sized scale is of great significance for assessing carbon emissions. Chamber methods remain the sole approach for measuring NEE at a plot-sized scale. However, traditional chamber methods are disadvantaged by their high labor intensity, significant resultant changes in microclimate, and significant impact on the physiology of crops. Therefore, an automated portable chamber with an air humidity control system to determinate the nighttime variation of NEE in field maize was developed. The chamber system can automatically open and close the chamber, and regularly collect gas in the chamber for laboratory analysis. Furthermore, a humidity control system was created to control the air humidity of the chamber. Chamber performance test results show that the maximum difference between the temperature and humidity outside and inside the chamber was 0.457 °C and 5.6%, respectively, during the NEE measuring period. Inside the chamber, the leaf temperature fluctuation range and the maximum relative change of the maize leaf respiration rate were [Formula: see text] 0.3 to 0.3 °C and 23.2015%, respectively. We verified a series of measurements of NEE using the dynamic and static closed chamber methods. The results show a good common point between the two measurement methods (N = 10, R(2) = 0.986; and mean difference: ΔCO(2) = 0.079 [Formula: see text]). This automated chamber was found to be useful for reducing the labor requirement and improving the time resolution of NEE monitoring. In the future, the relationship between the humidity control system and chamber volume can be studied to control the microclimate change more accurately. |
format | Online Article Text |
id | pubmed-7662807 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-76628072020-11-14 Developing an Automated Gas Sampling Chamber for Measuring Variations in CO(2) Exchange in a Maize Ecosystem at Night Li, Chaoqun Han, Wenting Peng, Manman Zhang, Mengfei Sensors (Basel) Letter The measurement of net ecosystem exchange (NEE) of field maize at a plot-sized scale is of great significance for assessing carbon emissions. Chamber methods remain the sole approach for measuring NEE at a plot-sized scale. However, traditional chamber methods are disadvantaged by their high labor intensity, significant resultant changes in microclimate, and significant impact on the physiology of crops. Therefore, an automated portable chamber with an air humidity control system to determinate the nighttime variation of NEE in field maize was developed. The chamber system can automatically open and close the chamber, and regularly collect gas in the chamber for laboratory analysis. Furthermore, a humidity control system was created to control the air humidity of the chamber. Chamber performance test results show that the maximum difference between the temperature and humidity outside and inside the chamber was 0.457 °C and 5.6%, respectively, during the NEE measuring period. Inside the chamber, the leaf temperature fluctuation range and the maximum relative change of the maize leaf respiration rate were [Formula: see text] 0.3 to 0.3 °C and 23.2015%, respectively. We verified a series of measurements of NEE using the dynamic and static closed chamber methods. The results show a good common point between the two measurement methods (N = 10, R(2) = 0.986; and mean difference: ΔCO(2) = 0.079 [Formula: see text]). This automated chamber was found to be useful for reducing the labor requirement and improving the time resolution of NEE monitoring. In the future, the relationship between the humidity control system and chamber volume can be studied to control the microclimate change more accurately. MDPI 2020-10-27 /pmc/articles/PMC7662807/ /pubmed/33121201 http://dx.doi.org/10.3390/s20216117 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Letter Li, Chaoqun Han, Wenting Peng, Manman Zhang, Mengfei Developing an Automated Gas Sampling Chamber for Measuring Variations in CO(2) Exchange in a Maize Ecosystem at Night |
title | Developing an Automated Gas Sampling Chamber for Measuring Variations in CO(2) Exchange in a Maize Ecosystem at Night |
title_full | Developing an Automated Gas Sampling Chamber for Measuring Variations in CO(2) Exchange in a Maize Ecosystem at Night |
title_fullStr | Developing an Automated Gas Sampling Chamber for Measuring Variations in CO(2) Exchange in a Maize Ecosystem at Night |
title_full_unstemmed | Developing an Automated Gas Sampling Chamber for Measuring Variations in CO(2) Exchange in a Maize Ecosystem at Night |
title_short | Developing an Automated Gas Sampling Chamber for Measuring Variations in CO(2) Exchange in a Maize Ecosystem at Night |
title_sort | developing an automated gas sampling chamber for measuring variations in co(2) exchange in a maize ecosystem at night |
topic | Letter |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7662807/ https://www.ncbi.nlm.nih.gov/pubmed/33121201 http://dx.doi.org/10.3390/s20216117 |
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