2016
DOI: 10.1002/2015jg003283
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Influence of transient flooding on methane fluxes from subtropical pastures

Abstract: Seasonally flooded subtropical pastures are major methane (CH 4 ) sources, where transient flooding drives episodic and high-magnitude emissions from the underlying landscape. Understanding the mechanisms that drive these patterns is needed to better understand pasture CH 4 emissions and their response to global change. We investigated belowground CH 4 dynamics in relation to surface fluxes using laboratory water table manipulations and compared these results to field-based eddy covariance measurements to link… Show more

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Cited by 31 publications
(26 citation statements)
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“…Average annual precipitation (1980 to 2015) was 1,310 mm, with two thirds of total annual precipitation falling during the wet season (DayMet database; Thornton et al, ). By quantifying the biophysical controls of CO 2 and CH 4 fluxes from a subtropical wetland and the direct and indirect influence of these controls on C fluxes by combining high‐resolution greenhouse gas (GHG) data with structural equation modeling, this study complements previous work from MAERC that investigated the effect of grazing on C fluxes of subtropical pastures (Gomez‐Casanovas, DeLucia, Bernacchi, et al, ; Gomez‐Casanovas, DeLucia, Bernacchi, et al, ) and the effect of water management (Chamberlain et al, , ) on CH 4 emissions from a subtropical pasture monoculture. Other studies in the area include Chamberlain et al () that investigated the contribution of CH 4 emissions from ruminant fermentation to CH 4 fluxes in a wetland‐pasture landscape mosaic and DeLucia et al () that evaluated the impact of surrounding land use on CH 4 emissions from subtropical wetlands.…”
Section: Methodsmentioning
confidence: 87%
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“…Average annual precipitation (1980 to 2015) was 1,310 mm, with two thirds of total annual precipitation falling during the wet season (DayMet database; Thornton et al, ). By quantifying the biophysical controls of CO 2 and CH 4 fluxes from a subtropical wetland and the direct and indirect influence of these controls on C fluxes by combining high‐resolution greenhouse gas (GHG) data with structural equation modeling, this study complements previous work from MAERC that investigated the effect of grazing on C fluxes of subtropical pastures (Gomez‐Casanovas, DeLucia, Bernacchi, et al, ; Gomez‐Casanovas, DeLucia, Bernacchi, et al, ) and the effect of water management (Chamberlain et al, , ) on CH 4 emissions from a subtropical pasture monoculture. Other studies in the area include Chamberlain et al () that investigated the contribution of CH 4 emissions from ruminant fermentation to CH 4 fluxes in a wetland‐pasture landscape mosaic and DeLucia et al () that evaluated the impact of surrounding land use on CH 4 emissions from subtropical wetlands.…”
Section: Methodsmentioning
confidence: 87%
“…Fluxes of CH 4 from the subtropical wetland were well within the range of values found in tropical mangroves and swamp forests (Table ; Bartlett et al, ; Harriss et al, ; Sjögersten et al, ). However, they were higher than emissions from grazed subtropical and tropical pastures (Chamberlain et al, , ; Gomez‐Casanovas, DeLucia, Bernacchi, et al, ; Gomez‐Casanovas, DeLucia, Hudiburg, et al, ) indicating that although these systems cover an ~3% of global land area, they can contribute significantly to regional CH 4 emissions (Melton et al, ).…”
Section: Discussionmentioning
confidence: 99%
“…Pasture CH 4 emissions were driven by landscape flooding and were primarily correlated to water table fluctuations as described in detail in Chamberlain et al. (, ). Ecosystem CH 4 emissions peaked in the wet season during periods of extended pasture flooding, and appreciable emissions were not observed when the water table reached the surface for 1 d or less (Fig.…”
Section: Resultsmentioning
confidence: 99%
“…We were interested in how long this soil horizon is flooded because, in this region, flooding of the top 15 cm of soil controls ecosystem CH 4 emissions (Chamberlain et al. ). We then estimated total CH 4 emissions due to water retention ( F WR ) by multiplying the annual difference in surface flooding duration ( D ) by the mean CH 4 emission rate when the water table was within the 0–15 cm surface soil horizon ( F SH ), as estimated from our eddy covariance CH 4 flux data and accounting for flux uncertainty.…”
Section: Methodsmentioning
confidence: 99%
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