Increasing sensitivity of methane emission measurements in rice through deployment of ‘closed chambers’ at nighttime

This study comprises field experiments on methane emissions from rice fields conducted with an Eddy-Covariance (EC) system as well as test runs for a modified closed chamber approach based on measurements at nighttime. The EC data set covers 4 cropping seasons with highly resolved emission rates (ra...

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Main Authors: Wassmann, Reiner, Alberto, Ma.Carmelita, Tirol-Padre, Agnes, Hoang, Nghia Trong, Romasanta, Ryan, Centeno, Caesar Arloo, Sander, Bjoern Ole
Format: Journal Article
Language:Inglés
Published: Public Library of Science 2018
Subjects:
Online Access:https://hdl.handle.net/10568/98235
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author Wassmann, Reiner
Alberto, Ma.Carmelita
Tirol-Padre, Agnes
Hoang, Nghia Trong
Romasanta, Ryan
Centeno, Caesar Arloo
Sander, Bjoern Ole
author_browse Alberto, Ma.Carmelita
Centeno, Caesar Arloo
Hoang, Nghia Trong
Romasanta, Ryan
Sander, Bjoern Ole
Tirol-Padre, Agnes
Wassmann, Reiner
author_facet Wassmann, Reiner
Alberto, Ma.Carmelita
Tirol-Padre, Agnes
Hoang, Nghia Trong
Romasanta, Ryan
Centeno, Caesar Arloo
Sander, Bjoern Ole
author_sort Wassmann, Reiner
collection Repository of Agricultural Research Outputs (CGSpace)
description This study comprises field experiments on methane emissions from rice fields conducted with an Eddy-Covariance (EC) system as well as test runs for a modified closed chamber approach based on measurements at nighttime. The EC data set covers 4 cropping seasons with highly resolved emission rates (raw data in 10 Hz frequency have been aggregated to 30-min records). The diel patterns were very pronounced in the two dry seasons with peak emissions at early afternoon and low emissions at nighttime. These diel patterns were observed at all growing stages of the dry seasons. In the two wet seasons, the diel patterns were only visible during the vegetative stages while emission rates during reproductive and ripening stages remained within a fairly steady range and did not show any diel patterns. In totality, however, the data set revealed a very strong linear relationship between nocturnal emissions (12-h periods) and the full 24-h periods resulting in an R2-value of 0.8419 for all data points. In the second experiment, we conducted test runs for chamber measurements at nighttime with much longer deployment times (6 h) as compared to measurements at daylight (typically for 30 min). Conducting chamber measurements at nighttime excluded drastic changes of temperatures and CO2 concentrations. The data also shows that increases in CH4 concentrations remained on linear trajectory over a 6h period at night. While end CH4 concentrations were consistently >3.5 ppm, this long-term enclosure represents a very robust approach to quantify emissions as compared to assessing short-term concentration increases over time near the analytical detection limit. Finally, we have discussed the potential applications of this new approach that would allow emission measurements even when conventional (daytime) measurements will not be suitable. Nighttime chamber measurements offer an alternative to conventional (daytime) measurements if either (i) baseline emissions are at a very low level, (ii) differences of tested crop treatments or varieties are very small or (iii) the objective is to screen a large number of rice varieties for taking advantage of progress in genome sequencing.
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spelling CGSpace982352026-01-06T12:03:49Z Increasing sensitivity of methane emission measurements in rice through deployment of ‘closed chambers’ at nighttime Wassmann, Reiner Alberto, Ma.Carmelita Tirol-Padre, Agnes Hoang, Nghia Trong Romasanta, Ryan Centeno, Caesar Arloo Sander, Bjoern Ole climate change food security agriculture rice emission methane methane emission This study comprises field experiments on methane emissions from rice fields conducted with an Eddy-Covariance (EC) system as well as test runs for a modified closed chamber approach based on measurements at nighttime. The EC data set covers 4 cropping seasons with highly resolved emission rates (raw data in 10 Hz frequency have been aggregated to 30-min records). The diel patterns were very pronounced in the two dry seasons with peak emissions at early afternoon and low emissions at nighttime. These diel patterns were observed at all growing stages of the dry seasons. In the two wet seasons, the diel patterns were only visible during the vegetative stages while emission rates during reproductive and ripening stages remained within a fairly steady range and did not show any diel patterns. In totality, however, the data set revealed a very strong linear relationship between nocturnal emissions (12-h periods) and the full 24-h periods resulting in an R2-value of 0.8419 for all data points. In the second experiment, we conducted test runs for chamber measurements at nighttime with much longer deployment times (6 h) as compared to measurements at daylight (typically for 30 min). Conducting chamber measurements at nighttime excluded drastic changes of temperatures and CO2 concentrations. The data also shows that increases in CH4 concentrations remained on linear trajectory over a 6h period at night. While end CH4 concentrations were consistently >3.5 ppm, this long-term enclosure represents a very robust approach to quantify emissions as compared to assessing short-term concentration increases over time near the analytical detection limit. Finally, we have discussed the potential applications of this new approach that would allow emission measurements even when conventional (daytime) measurements will not be suitable. Nighttime chamber measurements offer an alternative to conventional (daytime) measurements if either (i) baseline emissions are at a very low level, (ii) differences of tested crop treatments or varieties are very small or (iii) the objective is to screen a large number of rice varieties for taking advantage of progress in genome sequencing. 2018-02-01 2018-11-16T16:03:47Z 2018-11-16T16:03:47Z Journal Article https://hdl.handle.net/10568/98235 en Open Access Public Library of Science Wassmann R, Alberto MC, Tirol-Padre A, Hoang NT, Romasanta R, Centeno CA, Ole Sander B. 2018. Increasing sensitivity of methane emission measurements in rice through deployment of ‘closed chambers’ at nighttime. PLoS ONE 13(2).
spellingShingle climate change
food security
agriculture
rice
emission
methane
methane emission
Wassmann, Reiner
Alberto, Ma.Carmelita
Tirol-Padre, Agnes
Hoang, Nghia Trong
Romasanta, Ryan
Centeno, Caesar Arloo
Sander, Bjoern Ole
Increasing sensitivity of methane emission measurements in rice through deployment of ‘closed chambers’ at nighttime
title Increasing sensitivity of methane emission measurements in rice through deployment of ‘closed chambers’ at nighttime
title_full Increasing sensitivity of methane emission measurements in rice through deployment of ‘closed chambers’ at nighttime
title_fullStr Increasing sensitivity of methane emission measurements in rice through deployment of ‘closed chambers’ at nighttime
title_full_unstemmed Increasing sensitivity of methane emission measurements in rice through deployment of ‘closed chambers’ at nighttime
title_short Increasing sensitivity of methane emission measurements in rice through deployment of ‘closed chambers’ at nighttime
title_sort increasing sensitivity of methane emission measurements in rice through deployment of closed chambers at nighttime
topic climate change
food security
agriculture
rice
emission
methane
methane emission
url https://hdl.handle.net/10568/98235
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