Diurnal variation in methane emission in relation to the water table, soil temperature, climate and vegetation cover in a Swedish acid mire

Mikkelä, Catharina; Sundh, Ingvar; Svensson, Bo; Nilsson, Mats

doi:10.1007/bf02180679

Cited by 107 publications

(75 citation statements)

References 37 publications

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“…in the summer months, a regression based approach was used to calculate annual CH 4 fluxes (eg. Mikkelä et al 1995;Chanton et al 1995). Therefore, we aimed to find empirical relationships that describe the CH 4 emissions from the landscape elements of the two drained peat areas and we found temperature to be the main driver.…”

Section: Discussionmentioning

confidence: 99%

Methane emissions in two drained peat agro-ecosystems with high and low agricultural intensity

Schrier-Uijl

Kroon

Leffelaar³

et al. 2009

Plant Soil

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Methane (CH 4 ) emissions were compared for an intensively and extensively managed agricultural area on peat soils in the Netherlands to evaluate the effect of reduced management on the CH 4 balance. Chamber measurements (photoacoustic methods) for CH 4 were performed for a period of three years in the contributing landscape elements in the research sites. Various factors influencing CH 4 emissions were evaluated and temperature of water and soil was found to be the main driver in both sites. For upscaling of CH 4 fluxes to landscape scale, regression models were used which were specific for each of the contributing landforms. Ditches and bordering edges were emission hotspots and emitted together between 60% and 70% of the total terrestrial CH 4 emissions. To further evaluate the effect of agricultural activity on the CH 4 balance, the annual CH 4 fluxes of the two managed sites were also compared to the emissions of a natural peat site with no management and high ground water levels. By comparing the terrestrial and additional farm based emissions of the three sites, we finally concluded that transformation of intensively managed agricultural land to nature development will lead to an increase in terrestrial CH 4 emission, but will not by definition lead to a significant increase in CH 4 emission when farm based emissions are included.

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Section: Discussionmentioning

confidence: 99%

Methane emissions in two drained peat agro-ecosystems with high and low agricultural intensity

Schrier-Uijl

Kroon

Leffelaar³

et al. 2009

Plant Soil

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“…However, in the studies by Schimel (1995) and Morrissey et al (1993), CH 4 seemed to exit the sedges through the leaf blades and stomata, and this would thus form the main resistance for the flux in the plant. Diurnal variation of the CH 4 emissions could indicate stomatal control but clear diurnal patterns have not been observed Jackowicz-Korczyński et al, 2010); the maximum emissions may even occur at night (Mikkelä et al, 1995;Waddington et al, 1996;Juutinen et al, 2004). On the other hand, possible diurnal changes in O 2 diffusion to the rhizosphere may be reflected in the CH 4 fluxes since O 2 concentration affects the rate of CH 4 oxidation (Thomas et al, 1996), and diurnal changes in the CH 4 substrate input from the photosynthesizing vegetation may affect CH 4 production (Mikkelä et al, 1995).…”

Section: Key Factors For Ch 4 Transport and Oxidationmentioning

confidence: 99%

HIMMELI v1.0: HelsinkI Model of MEthane buiLd-up and emIssion for peatlands

et al. 2017

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Abstract. Wetlands are one of the most significant natural sources of methane (CH 4 ) to the atmosphere. They emit CH 4 because decomposition of soil organic matter in waterlogged anoxic conditions produces CH 4 , in addition to carbon dioxide (CO 2 ). Production of CH 4 and how much of it escapes to the atmosphere depend on a multitude of environmental drivers. Models simulating the processes leading to CH 4 emissions are thus needed for upscaling observations to estimate present CH 4 emissions and for producing scenarios of future atmospheric CH 4 concentrations. Aiming at a CH 4 model that can be added to models describing peatland carbon cycling, we composed a model called HIMMELI that describes CH 4 build-up in and emissions from peatland soils. It is not a full peatland carbon cycle model but it requires the rate of anoxic soil respiration as input. Driven by soil temperature, leaf area index (LAI) of aerenchymatous peatland vegetation, and water table depth (WTD), it simulates the concentrations and transport of CH 4 , CO 2 , and oxygen (O 2 ) in a layered one-dimensional peat column. Here, we present the HIMMELI model structure and results of tests on the model sensitivity to the input data and to the description of the peat column (peat depth and layer thickness), and demonstrate that HIMMELI outputs realistic fluxes by comparing modeled and measured fluxes at two peatland sites. As HIMMELI describes only the CH 4 -related processes, not the full carbon cycle, our analysis revealed mechanisms and dependencies that may remain hidden when testing CH 4 models connected to complete peatland carbon models, which is usually the case. Our results indicated that (1) the model is flexible and robust and thus suitable for different environments; (2) the simulated CH 4 emissions largely depend on the prescribed rate of anoxic respiration; (3) the sensitivity of Published by Copernicus Publications on behalf of the European Geosciences Union. 4666M. Raivonen et al.: HelsinkI Model of MEthane buiLd-up and emIssion for peatlands the total CH 4 emission to other input variables is mainly mediated via the concentrations of dissolved gases, in particular, the O 2 concentrations that affect the CH 4 production and oxidation rates; (4) with given input respiration, the peat column description does not significantly affect the simulated CH 4 emissions in this model version.

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“…Root exudates lead to an increase in substrate availability in the form of easily decomposable organic compounds, which can be used by methanogens to produce CH 4 (Aulakh et al, 2001;Christensen et al, 2003). There are studies that found positive correlations between radiation or net ecosystem production and CH 4 flux (Whiting and Chanton, 1993;Joabsson and Christensen, 2001), although there are also studies that found the opposite (Mikkelä et al, 1995;Ström et al, 2005). Ström et al explain the negative correlation of the CH 4 oxidation rate, depending on the oxygen transport capacity of the plants.…”

Section: Effect Of Other Environmental Factors On Chmentioning

confidence: 99%

The role of Phragmites in the CH4 and CO2 fluxes in a minerotrophic peatland in southwest Germany

et al. 2016

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Abstract. Peatlands are interesting as a carbon storage option, but are also natural emitters of the greenhouse gas methane (CH 4 ). Phragmites peatlands are particularly interesting due to the global abundance of this wetland plant (Phragmites australis) and the highly efficient internal gas transport mechanism, which is called humidity-induced convection (HIC). The research aims were to (1) clarify how this plant-mediated gas transport influences the CH 4 fluxes, (2) which other environmental variables influence the CO 2 and CH 4 fluxes, and (3) whether Phragmites peatlands are a net source or sink of greenhouse gases. CO 2 and CH 4 fluxes were measured with the eddy covariance technique within a Phragmites-dominated fen in southwest Germany. One year of flux data (March 2013-February 2014 shows very clear diurnal and seasonal patterns for both CO 2 and CH 4 . The diurnal pattern of CH 4 fluxes was only visible when living, green reed was present. In August the diurnal cycle of CH 4 was the most distinct, with 11 times higher midday fluxes (15.7 mg CH 4 m −2 h −1 ) than night fluxes (1.41 mg CH 4 m −2 h −1 ). This diurnal cycle has the highest correlation with global radiation, which suggests a high influence of the plants on the CH 4 flux. But if the cause were the HIC, it would be expected that relative humidity would correlate stronger with CH 4 flux. Therefore, we conclude that in addition to HIC, at least one additional mechanism must be involved in the creation of the convective flow within the Phragmites plants. Overall, the fen was a sink for carbon and greenhouse gases in the measured year, with a total carbon uptake of 221 g C m −2 yr −1 (26 % of the total assimilated carbon). The net uptake of greenhouse gases was 52 g CO 2 eq. m −2 yr −1 , which is obtained from an uptake of CO 2 of 894 g CO 2 eq. m −2 yr −1 and a release of CH 4 of 842 g CO 2 eq. m −2 yr −1 .

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Diurnal variation in methane emission in relation to the water table, soil temperature, climate and vegetation cover in a Swedish acid mire

Cited by 107 publications

References 37 publications

Methane emissions in two drained peat agro-ecosystems with high and low agricultural intensity

Methane emissions in two drained peat agro-ecosystems with high and low agricultural intensity

HIMMELI v1.0: HelsinkI Model of MEthane buiLd-up and emIssion for peatlands

The role of <i>Phragmites</i> in the CH<sub>4</sub> and CO<sub>2</sub> fluxes in a minerotrophic peatland in southwest Germany

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Diurnal variation in methane emission in relation to the water table, soil temperature, climate and vegetation cover in a Swedish acid mire

Cited by 107 publications

References 37 publications

Methane emissions in two drained peat agro-ecosystems with high and low agricultural intensity

Methane emissions in two drained peat agro-ecosystems with high and low agricultural intensity

HIMMELI v1.0: HelsinkI Model of MEthane buiLd-up and emIssion for peatlands

The role of &lt;i&gt;Phragmites&lt;/i&gt; in the CH&lt;sub&gt;4&lt;/sub&gt; and CO&lt;sub&gt;2&lt;/sub&gt; fluxes in a minerotrophic peatland in southwest Germany

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The role of <i>Phragmites</i> in the CH<sub>4</sub> and CO<sub>2</sub> fluxes in a minerotrophic peatland in southwest Germany