Diurnal and seasonal variation in methane emissions in a northern Canadian peatland measured by eddy covariance

Author(s):  
KEVIN D. LONG ◽  
LAWRENCE B. FLANAGAN ◽  
TIEBO CAI
2021 ◽  
Author(s):  
Chandra Shekhar Deshmukh ◽  
Ankur R. Desai ◽  
Chris D. Evans ◽  
Susan E. Page ◽  
Ari Putra Susanto ◽  
...  

<p>Tropical peatlands are a complex ecosystem with poorly understood biogeochemical regimes. An immense peat carbon stock and waterlogged-anaerobic conditions may possibly favor methane formation in this ecosystem. Methane is released to the atmosphere either from soil/water surface or through vegetation (both herbaceous plant and tree). Using the conventional flux chamber method, assessing spatiotemporal variability and vegetation-mediated methane emissions remains a practical challenge for scientists. Consequently, research related to ecosystem-scale methane exchange remains limited. Yet, published data display a large range of methane emission estimates and, hence, highlight a knowledge gap in our science on tropical peatland methane cycling.</p><p>In this context, we set out to measure the net ecosystem methane exchange (NEE-CH<sub>4</sub>) from an unmanaged degraded peatland in the east coast of Sumatra, Indonesia. The measurements were conducted using the eddy covariance system, composed of a 3D sonic anemometer coupled with a LI-7700 open-path methane analyzer, above the vegetation canopy at 41 m tall tower for over 4 years period (October 2016-September 2020). Therefore, the measurements incorporated all existing methane sources and sinks within the flux footprint, i.e. soil surface, trunk of living tree, vascular plant, and water surface.</p><p>Our measurements indicate that unmanaged degraded tropical peatland emitted 54±12 kg CH<sub>4</sub> ha<sup>-1</sup> year<sup>-1</sup> to the atmosphere. The magnitude of daytime NEE-CH<sub>4</sub> were up to six times larger than those during the nighttime. This cautions that sampling bias (e.g. only daytime measurements) can overestimate the daily NEE-CH<sub>4</sub>. The diurnal variation in NEE-CH<sub>4</sub> was correlated with associated changes in the canopy conductance to water vapor. Therefore, it was attributed to the vegetative transport of dissolved methane via transpiration. There was no clear relationship between NEE-CH<sub>4</sub> and soil temperature, while it decreased exponentially with declining groundwater level. Low groundwater level enhances methane oxidation in the upper oxic peat layer. Further, low groundwater level might relocate methane production below the root zone, resulting in insufficient methane in the root zone to be taken and transported to the atmosphere.</p><p>Our results, which are among the first eddy covariance exchange data reported for any tropical peatland, should help to reduce uncertainty in the estimation of methane emissions from a globally important ecosystem, and to better understand how land-use changes affect methane emissions.</p>


2019 ◽  
Vol 16 (16) ◽  
pp. 3113-3131 ◽  
Author(s):  
Mathias Göckede ◽  
Fanny Kittler ◽  
Carsten Schaller

Abstract. Methane flux measurements by the eddy-covariance technique are subject to large uncertainties, particularly linked to the partly highly intermittent nature of methane emissions. Outbursts of high methane emissions, termed event fluxes, hold the potential to introduce systematic biases into derived methane budgets, since under such conditions the assumption of stationarity of the flow is violated. In this study, we investigate the net impact of this effect by comparing eddy-covariance fluxes against a wavelet-derived reference that is not negatively influenced by non-stationarity. Our results demonstrate that methane emission events influenced 3 %–4 % of the flux measurements and did not lead to systematic biases in methane budgets for the analyzed summer season; however, the presence of events substantially increased uncertainties in short-term flux rates. The wavelet results provided an excellent reference to evaluate the performance of three different gap-filling approaches for eddy-covariance methane fluxes, and we show that none of them could reproduce the range of observed flux rates. The integrated performance of the gap-filling methods for the longer-term dataset varied between the two eddy-covariance towers involved in this study, and we show that gap-filling remains a large source of uncertainty linked to limited insights into the mechanisms governing the short-term variability in methane emissions. With the capability for broadening our observational methane flux database to a wider range of conditions, including the direct resolution of short-term variability on the order of minutes, wavelet-derived fluxes hold the potential to generate new insight into methane exchange processes with the atmosphere and therefore also improve our understanding of the underlying processes.


1989 ◽  
Vol 8 (1) ◽  
pp. 55-71 ◽  
Author(s):  
John O. Wilson ◽  
Patrick M. Crill ◽  
Karen B. Bartlett ◽  
Daniel I. Sebacher ◽  
Robert C. Harriss ◽  
...  

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