TY - JOUR
T1 - Comparison of static chambers to measure CH4 emissions from soils
AU - Pihlatie, Mari K.
AU - Christiansen, Jesper Riis
AU - Aaltonen, Hermanni
AU - Korhonen, Janne F.J.
AU - Nordbo, Annika
AU - Rasilo, Terhi
AU - Benanti, Giuseppe
AU - Giebels, Michael
AU - Helmy, Mohamed
AU - Sheehy, Jatta
AU - Jones, Stephanie
AU - Juszczak, Radoslaw
AU - Klefoth, Roland
AU - Lobo-do-Vale, Raquel
AU - Rosa, Ana Paula
AU - Schreiber, Peter
AU - Serça, Dominique
AU - Vicca, Sara
AU - Wolf, Benjamin
AU - Pumpanen, Jukka
PY - 2013/4/15
Y1 - 2013/4/15
N2 - The static chamber method (non-flow-through-non-steady-state chambers) is the most common method to measure fluxes of methane (CH4) from soils. Laboratory comparisons to quantify errors resulting from chamber design, operation and flux calculation methods are rare. We tested fifteen chambers against four flux levels (FL) ranging from 200 to 2300μgCH4m-2h-1. The measurements were conducted on a calibration tank using three quartz sand types with soil porosities of 53% (dry fine sand, S1), 47% (dry coarse sand, S2), and 33% (wetted fine sand, S3). The chambers tested ranged from 0.06 to 1.8m in height, and 0.02 to 0.195m3 in volume, 7 of them were equipped with a fan, and 1 with a vent-tube. We applied linear and exponential flux calculation methods to the chamber data and compared these chamber fluxes to the reference fluxes from the calibration tank. The chambers underestimated the reference fluxes by on average 33% by the linear flux calculation method (Rlin), whereas the chamber fluxes calculated by the exponential flux calculation method (Rexp) did not significantly differ from the reference fluxes (p<0.05). The flux under- or overestimations were chamber specific and independent of flux level. Increasing chamber height, area and volume significantly reduced the flux underestimation (p<0.05). Also, the use of non-linear flux calculation method significantly improved the flux estimation; however, simultaneously the uncertainty in the fluxes was increased. We provide correction factors, which can be used to correct the under- or overestimation of the fluxes by the chambers in the experiment.
AB - The static chamber method (non-flow-through-non-steady-state chambers) is the most common method to measure fluxes of methane (CH4) from soils. Laboratory comparisons to quantify errors resulting from chamber design, operation and flux calculation methods are rare. We tested fifteen chambers against four flux levels (FL) ranging from 200 to 2300μgCH4m-2h-1. The measurements were conducted on a calibration tank using three quartz sand types with soil porosities of 53% (dry fine sand, S1), 47% (dry coarse sand, S2), and 33% (wetted fine sand, S3). The chambers tested ranged from 0.06 to 1.8m in height, and 0.02 to 0.195m3 in volume, 7 of them were equipped with a fan, and 1 with a vent-tube. We applied linear and exponential flux calculation methods to the chamber data and compared these chamber fluxes to the reference fluxes from the calibration tank. The chambers underestimated the reference fluxes by on average 33% by the linear flux calculation method (Rlin), whereas the chamber fluxes calculated by the exponential flux calculation method (Rexp) did not significantly differ from the reference fluxes (p<0.05). The flux under- or overestimations were chamber specific and independent of flux level. Increasing chamber height, area and volume significantly reduced the flux underestimation (p<0.05). Also, the use of non-linear flux calculation method significantly improved the flux estimation; however, simultaneously the uncertainty in the fluxes was increased. We provide correction factors, which can be used to correct the under- or overestimation of the fluxes by the chambers in the experiment.
KW - Flux calculation
KW - Fluxes
KW - Methane
KW - Soil
KW - Static chamber
U2 - 10.1016/j.agrformet.2012.11.008
DO - 10.1016/j.agrformet.2012.11.008
M3 - Article
AN - SCOPUS:84874259689
SN - 0168-1923
VL - 171-172
SP - 124
EP - 136
JO - Agricultural and Forest Meteorology
JF - Agricultural and Forest Meteorology
ER -