2014
DOI: 10.1007/s12040-014-0451-y
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Eddy covariance based methane flux in Sundarbans mangroves, India

Abstract: We report the initial results of the methane flux measured using eddy covariance method during summer months from the world's largest mangrove ecosystem, Sundarbans of India. Mangrove ecosystems are known sources for methane (CH 4) having very high global warming potential. In order to quantify the methane flux in mangroves, an eddy covariance flux tower was recently erected in the largest unpolluted and undisturbed mangrove ecosystem in Sundarbans (India). The tower is equipped with eddy covariance flux tower… Show more

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Cited by 48 publications
(29 citation statements)
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References 16 publications
(17 reference statements)
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“…Although large uncertainties exist within our upscaled results due to our study representing small-scale temporal resolution, our measurements and estimates of both dead and living mangrove stem CH 4 flux should be considered as highly conservative for both this system and (especially) other tropical mangrove systems. This is because (1) the tree density of the tropical-arid Australia Gulf region are about two-thirds lower than systems of similar latitudes (Sanders et al, 2016); (2) we could only account for dry season (tropical) winter sampling (where methanogen microbial metabolism may be lower) which have been shown to have the lowest seasonal sedimentary CH 4 fluxes (Chauhan et al, 2008;Allen et al, 2011); (3) we could not account for diurnal and high tide sampling, which has been shown to emit c. 80% higher CH 4 fluxes during high tides from the Sundarban mangroves (Jha et al, 2014); (4) we could not account for branched trees which in some cases may substantially increase the flux per tree estimate; (5) fluxes were only scaled to 2 m in height; and (6) downed tree fluxes were not measured.…”
Section: New Phytologistmentioning
confidence: 99%
“…Although large uncertainties exist within our upscaled results due to our study representing small-scale temporal resolution, our measurements and estimates of both dead and living mangrove stem CH 4 flux should be considered as highly conservative for both this system and (especially) other tropical mangrove systems. This is because (1) the tree density of the tropical-arid Australia Gulf region are about two-thirds lower than systems of similar latitudes (Sanders et al, 2016); (2) we could only account for dry season (tropical) winter sampling (where methanogen microbial metabolism may be lower) which have been shown to have the lowest seasonal sedimentary CH 4 fluxes (Chauhan et al, 2008;Allen et al, 2011); (3) we could not account for diurnal and high tide sampling, which has been shown to emit c. 80% higher CH 4 fluxes during high tides from the Sundarban mangroves (Jha et al, 2014); (4) we could not account for branched trees which in some cases may substantially increase the flux per tree estimate; (5) fluxes were only scaled to 2 m in height; and (6) downed tree fluxes were not measured.…”
Section: New Phytologistmentioning
confidence: 99%
“…The tower is surrounded by a continuous mangrove patch with dominant species viz. Avicennia alba, Bruguiera gymnorrhiza, Rhizophora, with a mean canopy height of about 5 m [23].…”
Section: Eddy Covariance Flux Tower Setupmentioning
confidence: 99%
“…One of the main objectives of NCP is to establish a network of EC flux towers in different representative forest ecosystems in the Indian subcontinent to understand their CO 2 source and sink strengths [23][24][25]. As part of this, an eddy covariance flux tower was established in mangrove forests in the Sundarbans Biosphere Reserve in April 2012 and has been taking measurements since then.…”
Section: Introductionmentioning
confidence: 99%
“…Only very recently have researchers started to also extend eddy covariance measurements to ever more challenging and less widespread ecosystem types, such as mangroves Jha et al, 2014), deserts (Honrath et al, 2002;Liu et al, 2012;Li et al, 2014), intertidal flats (Polsenaere et al, 2012), and screenhouses (Tanny et al, 2006).…”
Section: Deployments In Different Ecosystem Typesmentioning
confidence: 99%