Effect of Hummock-Forming Vegetation on Methane Emissions from a Temperate Sedge-Grass Marsh

Vítková, Jitka; Dusek, J.T.; Stellner, Stanislav; Moulisová, Lenka; Čı́žková, Hana

doi:10.1007/s13157-017-0898-0

Cited by 8 publications

(2 citation statements)

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“…The wetland sites included 6 marsh sites, 25 peatland sites, 8 swamp sites and 4 coastal wetland sites. Among the wetland sites, 7 sites are distributed in Europe (EU), 11 sites are distributed in Asia (AS), 2 sites are distributed in 1996.6-1996.8 1999.7-1999.8 2000.7-2000.8 Christensen et al (2000; Joabsson and Christensen (2001) Tathy et al (1992) 20 Congo River basin, the Congo, AF 0 Tathy et al (1992) 21 Pantanal, Brazil, SA…”

Section: Site Informationmentioning

confidence: 99%

“…Some wetland types have higher emissions, while some emit less CH 4 ; this difference is because the processes of controls on CH 4 cycling differ among wetland types (Bridgham et al, 2013). For example, sedge-dominated marshes or fens often emit higher CH 4 fluxes, because sedges can increase methanogenic substrates as part of their plant productivity and promote CH 4 transportation through their soft aerenchyma and lacunae tissues (McEwing et al, 2015;Jitka et al, 2017;Bhullar et al, 2013;Joabsson and Christensen, 2001;Kwon et al, 2017;King et al, 2002;Chanton, 2005). Bog soils with anaerobic incubations emit little CH 4 due to the particularly high CO 2 : CH 4 ratios of the end products of anaerobic carbon (Bridgham et al, 1998;Galand et al, 2010;Keller and Bridgham, 2007).…”

Section: Introductionmentioning

confidence: 99%

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Evaluation of CH4MODwetland and Terrestrial Ecosystem Model (TEM) used to estimate global CH4 emissions from natural wetlands

et al. 2020

Geosci. Model Dev.

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Abstract. Wetlands are the largest and most uncertain natural sources of atmospheric methane (CH4). Several process-based models have been developed to quantify the magnitude and estimate spatial and temporal variations in CH4 emissions from global wetlands. Reliable models are required to estimate global wetland CH4 emissions. This study aimed to test two process-based models, CH4MODwetland and Terrestrial Ecosystem Model (TEM), against the CH4 flux measurements of marsh, swamp, peatland and coastal wetland sites across the world; specifically, model accuracy and generality were evaluated for different wetland types and in different continents, and then the global CH4 emissions from 2000 to 2010 were estimated. Both models showed similar high correlations with the observed seasonal/annual total CH4 emissions, and the regression of the observed versus computed total seasonal/annual CH4 emissions resulted in R2 values of 0.81 and 0.68 for CH4MODwetland and TEM, respectively. The CH4MODwetland produced accurate predictions for marshes, peatlands, swamps and coastal wetlands, with model efficiency (EF) values of 0.22, 0.52, 0.13 and 0.72, respectively. TEM produced good predictions for peatlands and swamps, with EF values of 0.69 and 0.74, respectively, but it could not accurately simulate marshes and coastal wetlands (EF <0). There was a good correlation between the simulated CH4 fluxes and the observed values on most continents. However, CH4MODwetland showed no correlation with the observed values in South America and Africa. TEM showed no correlation with the observations in Europe. The global CH4 emissions for the period 2000–2010 were estimated to be 105.31 ± 2.72 Tg yr−1 by CH4MODwetland and 134.31 ± 0.84 Tg yr−1 by TEM. Both models simulated a similar spatial distribution of CH4 emissions globally and on different continents. Marshes contribute 36 %–39 % of global CH4 emissions. Lakes/rivers and swamps are the second and third greatest contributors, respectively. Other wetland types account for only approximately 20 % of global emissions. Based on the model applicability, if we use the more accurate model, i.e., the one that performs best as evidenced by a higher model efficiency and a lower model bias, to estimate each continent and wetland type, we obtain a new assessment of 116.99–124.74 Tg yr−1 for the global CH4 emissions for the period 2000–2010. Our results imply that performance at a global scale may conceal model uncertainty. Efforts should be made to improve model accuracy for different wetland types and regions, particularly hotspot regions, to reduce the uncertainty in global assessments.

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Section: Site Informationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Evaluation of CH4MODwetland and Terrestrial Ecosystem Model (TEM) used to estimate global CH4 emissions from natural wetlands

et al. 2020

Geosci. Model Dev.

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Addressing Effects of Environment on Eddy-Covariance Flux Estimates at a Temperate Sedge-Grass Marsh

Kivalov

Dusek

Czerný

et al. 2023

Boundary-Layer Meteorol

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We examined the net-ecosystem-exchange (NEE)-based annual carbon-balance estimates obtained from eddy-covariance (EC) measurements at an unmanaged sedge-grass marsh ecosystem (Třeboň, Czech Republic, 49°1′ N, 14°46′ E), seeking methods to improve the EC measurements in inhomogeneous environment. The data filtering procedure was developed using three thresholds: (a) a stationarity test; (b) a stability $${u}_{*}$$ u ∗ -threshold; and (c) a high relative humidity RH-threshold. This procedure was tested in 2014, a year without significant floods and drought events led to a stable water table, reducing the effect of soil respiration on the EC measurements. Estimates of annual carbon-balance were reduced from 182 to 234 ± 12 gC m−2 year−1 for the initial data to 39–44 ± 8 gC m−2 year−1 after the $$RH$$ RH ≤ 95% filtering and to 24–26 ± 7 gC m−2 year−1 after the further $${u}_{*}$$ u ∗ ≥ 0.1 m s−1 filtering. Applying the precipitation/fog threshold reduced this balance to 10–12 ± 7 gC m−2 year−1, closer to carbon neutrality. Up to 9.5% of this identified shift occurred during apparent nocturnal downslope katabatic drainage flows or plume descent coming from the nearby town of Třeboň. High-RH conditions account for up to 27% of this shift. Moreover, both conditions together account for an additional 67% of the identified carbon-balance change. Removing these non-ecosystem-related processes brings EC measurements closer to values of an unmanaged-ecosystem productivity, providing a better NEE-based estimate for the net ecosystem production. The presented procedure is applicable to EC measurements conducted at different wetlands or terrestrial ecosystems with similar conditions.

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Nutrient Inputs and Hydrology Interact with Plant Functional Type in Affecting Plant Production and Nutrient Contents in a Wet Grassland

Edwards

Čı́žková

2019

Wetlands

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Effect of Hummock-Forming Vegetation on Methane Emissions from a Temperate Sedge-Grass Marsh

Cited by 8 publications

References 48 publications

Evaluation of CH4MOD<sub>wetland</sub> and Terrestrial Ecosystem Model (TEM) used to estimate global CH<sub>4</sub> emissions from natural wetlands

Evaluation of CH4MOD<sub>wetland</sub> and Terrestrial Ecosystem Model (TEM) used to estimate global CH<sub>4</sub> emissions from natural wetlands

Addressing Effects of Environment on Eddy-Covariance Flux Estimates at a Temperate Sedge-Grass Marsh

Nutrient Inputs and Hydrology Interact with Plant Functional Type in Affecting Plant Production and Nutrient Contents in a Wet Grassland

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Effect of Hummock-Forming Vegetation on Methane Emissions from a Temperate Sedge-Grass Marsh

Cited by 8 publications

References 48 publications

Evaluation of CH4MOD&lt;sub&gt;wetland&lt;/sub&gt; and Terrestrial Ecosystem Model (TEM) used to estimate global CH&lt;sub&gt;4&lt;/sub&gt; emissions from natural wetlands

Evaluation of CH4MOD&lt;sub&gt;wetland&lt;/sub&gt; and Terrestrial Ecosystem Model (TEM) used to estimate global CH&lt;sub&gt;4&lt;/sub&gt; emissions from natural wetlands

Addressing Effects of Environment on Eddy-Covariance Flux Estimates at a Temperate Sedge-Grass Marsh

Nutrient Inputs and Hydrology Interact with Plant Functional Type in Affecting Plant Production and Nutrient Contents in a Wet Grassland

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Evaluation of CH4MOD<sub>wetland</sub> and Terrestrial Ecosystem Model (TEM) used to estimate global CH<sub>4</sub> emissions from natural wetlands

Evaluation of CH4MOD<sub>wetland</sub> and Terrestrial Ecosystem Model (TEM) used to estimate global CH<sub>4</sub> emissions from natural wetlands