A Multi-Year Record of Methane Flux at the Mer Bleue Bog, Southern Canada

Moore, Tim R.; Young, Allison De; Bubier, Jill L.; Humphreys, Elyn; Lafleur, Peter M.; Roulet, Nigel T.

doi:10.1007/s10021-011-9435-9

Cited by 139 publications

(155 citation statements)

References 36 publications

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“…4i), which accounts for the relatively low level of the evaluation index (R 2 = 0.28, D = 0.50). In comparison with results reported by Moore et al (2011) (Fig. 4j).…”

Section: Q Zhu Et Al: Modelling Methane Emissions From Natural Wetlsupporting

confidence: 72%

Modelling methane emissions from natural wetlands by development and application of the TRIPLEX-GHG model

et al. 2014

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Abstract.A new process-based model TRIPLEX-GHG was developed based on the Integrated Biosphere Simulator (IBIS), coupled with a new methane (CH 4 ) biogeochemistry module (incorporating CH 4 production, oxidation, and transportation processes) and a water table module to investigate CH 4 emission processes and dynamics that occur in natural wetlands. Sensitivity analysis indicates that the most sensitive parameters to evaluate CH 4 emission processes from wetlands are r (defined as the CH 4 to CO 2 release ratio) and Q 10 in the CH 4 production process. These two parameters were subsequently calibrated to data obtained from 19 sites collected from approximately 35 studies across different wetlands globally. Being heterogeneously spatially distributed, r ranged from 0.1 to 0.7 with a mean value of 0.23, and the Q 10 for CH 4 production ranged from 1.6 to 4.5 with a mean value of 2.48. The model performed well when simulating magnitude and capturing temporal patterns in CH 4 emissions from natural wetlands. Results suggest that the model is able to be applied to different wetlands under varying conditions and is also applicable for global-scale simulations.

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“…4i), which accounts for the relatively low level of the evaluation index (R 2 = 0.28, D = 0.50). In comparison with results reported by Moore et al (2011) (Fig. 4j).…”

Section: Q Zhu Et Al: Modelling Methane Emissions From Natural Wetlsupporting

confidence: 72%

Modelling methane emissions from natural wetlands by development and application of the TRIPLEX-GHG model

et al. 2014

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“…25 min) for subsequent CH 4 analysis in the laboratory (e.g. Pelletier et al, 2007;Moore et al, 2011). Based on an automatic, closed, dynamic chamber system measuring gas concentrations at 1 Hz, our findings suggest that CH 4 concentration change will be most influenced by turbulence during the initial 5 min and then progressively less with time.…”

Section: Implications For Chamber Flux Measurementsmentioning

confidence: 68%

The effect of atmospheric turbulence and chamber deployment period on autochamber CO<sub>2</sub> and CH<sub>4</sub> flux measurements in an ombrotrophic peatland

et al. 2012

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Abstract. Accurate quantification of soil-atmosphere gas exchange is essential for understanding the magnitude and controls of greenhouse gas emissions. We used an automatic, closed, dynamic chamber system to measure the fluxes of CO 2 and CH 4 for several years at the ombrotrophic Mer Bleue peatland near Ottawa, Canada and found that atmospheric turbulence and chamber deployment period had a considerable influence on the observed flux rates. With a short deployment period of 2.5 min, CH 4 flux exhibited strong diel patterns and both CH 4 and nighttime CO 2 effluxes were highly and negatively correlated with ambient friction velocity as were the CO 2 concentration gradients in the top 20 cm of peat. This suggests winds were flushing the very porous and relatively dry near-surface peat layers and reducing the belowground gas concentration gradient, which then led to flux underestimations owing to a decrease in turbulence inside the headspace during chamber deployment compared to the ambient windy conditions. We found a 9 to 57 % underestimate of the net biological CH 4 flux at any time of day and a 13 to 21 % underestimate of nighttime CO 2 effluxes in highly turbulent conditions. Conversely, there was evidence of an overestimation of ∼ 100 % of net biological CH 4 and nighttime CO 2 fluxes in calm atmospheric conditions possibly due to enhanced near-surface gas concentration gradient by mixing of chamber headspace air by fans. These problems were resolved by extending the deployment period to 30 min. After 13 min of chamber closure, the flux rate of CH 4 and nighttime CO 2 became constant and were not affected by turbulence thereafter, yielding a reliable estimate of the net biological fluxes. The measurement biases we observed likely exist to some extent in all chamber flux measurements made on porous and aerated substrate, such as peatlands, organic soils in tundra and forests, and snowcovered surfaces, but would be difficult to detect unless high frequency, semi-continuous observations were made.

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“…Although the Siikaneva bog is a wet site with a high WT (see, e.g., Moore et al, 2011) (Fig. 1), negative flux values were detected every year across the WT gradient.…”

Section: Variation In Environmental Variablesmentioning

confidence: 99%

Small spatial variability in methane emission measured from a wet patterned boreal bog

et al. 2018

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Abstract. We measured methane fluxes of a patterned bog situated in Siikaneva in southern Finland from six different plant community types in three growing seasons (2012)(2013)(2014) using the static chamber method with chamber exposure of 35 min. A mixed-effects model was applied to quantify the effect of the controlling factors on the methane flux.The plant community types differed from each other in their water level, species composition, total leaf area (LAI TOT ) and leaf area of aerenchymatous plant species (LAI AER ). Methane emissions ranged from −309 to 1254 mg m −2 d −1 . Although methane fluxes increased with increasing peat temperature, LAI TOT and LAI AER , they had no correlation with water table or with plant community type. The only exception was higher fluxes from hummocks and high lawns than from high hummocks and bare peat surfaces in 2013 and from bare peat surfaces than from high hummocks in 2014. Chamber fluxes upscaled to ecosystem level for the peak season were of the same magnitude as the fluxes measured with the eddy covariance (EC) technique. In 2012 and in August 2014 there was a good agreement between the two methods; in 2013 and in July 2014, the chamber fluxes were higher than the EC fluxes.Net fluxes to soil, indicating higher methane oxidation than production, were detected every year and in all community types. Our results underline the importance of both LAI AER and LAI TOT in controlling methane fluxes and indicate the need for automatized chambers to reliably capture localized events to support the more robust EC method.

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A Multi-Year Record of Methane Flux at the Mer Bleue Bog, Southern Canada

Cited by 139 publications

References 36 publications

Modelling methane emissions from natural wetlands by development and application of the TRIPLEX-GHG model

Modelling methane emissions from natural wetlands by development and application of the TRIPLEX-GHG model

The effect of atmospheric turbulence and chamber deployment period on autochamber CO<sub>2</sub> and CH<sub>4</sub> flux measurements in an ombrotrophic peatland

Small spatial variability in methane emission measured from a wet patterned boreal bog

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A Multi-Year Record of Methane Flux at the Mer Bleue Bog, Southern Canada

Cited by 139 publications

References 36 publications

Modelling methane emissions from natural wetlands by development and application of the TRIPLEX-GHG model

Modelling methane emissions from natural wetlands by development and application of the TRIPLEX-GHG model

The effect of atmospheric turbulence and chamber deployment period on autochamber CO&lt;sub&gt;2&lt;/sub&gt; and CH&lt;sub&gt;4&lt;/sub&gt; flux measurements in an ombrotrophic peatland

Small spatial variability in methane emission measured from a wet patterned boreal bog

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The effect of atmospheric turbulence and chamber deployment period on autochamber CO<sub>2</sub> and CH<sub>4</sub> flux measurements in an ombrotrophic peatland