2020
DOI: 10.1111/gcb.15247
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Methane emissions reduce the radiative cooling effect of a subtropical estuarine mangrove wetland by half

Abstract: The role of coastal mangrove wetlands in sequestering atmospheric carbon dioxide (CO 2) and mitigating climate change has received increasing attention in recent years. While recent studies have shown that methane (CH 4) emissions can potentially offset the carbon burial rates in low-salinity coastal wetlands, there is hitherto a paucity of direct and year-round measurements of ecosystem-scale CH 4 flux (F CH4) from mangrove ecosystems. In this study, we examined the temporal variations and biophysical drivers… Show more

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Cited by 42 publications
(69 citation statements)
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References 146 publications
(238 reference statements)
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“…The seasonal variation of CH 4 emissions from this mangrove, showing higher emissions in the wet season than the dry season, is consistent with the findings in other subtropical/tropical wetlands with similar seasonal variations in temperature and rainfall (Dalmagro et al, 2019;Philipp et al, 2017;Tang et al, 2018). In comparison with a recent EC study on mangrove NME (Liu et al, 2020), daily NME of this mangrove shows less noticeable seasonal variation pattern. The difference in the seasonality may ZHU ET AL.…”
Section: Ghg Budgets and Temporal Variationssupporting
confidence: 90%
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“…The seasonal variation of CH 4 emissions from this mangrove, showing higher emissions in the wet season than the dry season, is consistent with the findings in other subtropical/tropical wetlands with similar seasonal variations in temperature and rainfall (Dalmagro et al, 2019;Philipp et al, 2017;Tang et al, 2018). In comparison with a recent EC study on mangrove NME (Liu et al, 2020), daily NME of this mangrove shows less noticeable seasonal variation pattern. The difference in the seasonality may ZHU ET AL.…”
Section: Ghg Budgets and Temporal Variationssupporting
confidence: 90%
“…Second, in comparison with Rosentreter et al (2018b) assuming a 50% daily inundation duration, this mangrove has a much shorter daily inundation duration (∼5% of time), which could lead to lower CH 4 emissions and its offset potential. Third, in relation to Liu et al (2020), the obviously lower CH 4 offset potential of this mangrove results from a stronger CO 2 sink (−1,075.8 vs. −782.3 g CO 2 -C m −2 year −1 ) and a weaker CH 4 source (3.1 vs. 11.7 g CH 4 -C m −2 year −1 ), which are mostly likely attributed to the difference in annual rainfall (∼1,000 vs. ∼2,000 mm) since more rainfall usually accompanies with less PAR (weaker CO 2 sink) and lower salinity (stronger CH 4 source).…”
Section: Net Radiative Forcingmentioning
confidence: 95%
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“…In addition, exponential fitting between methane emissions and soil temperature in a boreal fen has indicated a rapid increase of methane emissions at a baseline temperature of 5°C–10°C (Rinne et al, 2018). In order to have an insight into the relationship between methane emissions and soil temperature in the altitude perspectives, we compared the available data from eight wetlands from various altitudes with our results, that is, Rocky Mountain wetland of USA, Bayinbuluk wetland of the Tianshan Mountain, Luanhaizi wetland, and Zoige wetland on the Tibetan Plateau as the four high altitude ones, Lake Wohlen in Switzerland as the mid‐altitude one and Mai Po wetland in Hong Kong SAR of China as the low altitude one (Table 5; Delsontro et al, 2010; He et al, 2014; Liu et al, 2020; Peng et al, 2019; Song et al, 2015; Wickland et al, 2001). The relationships can be characterized as exponential based on data from the respective literature, and their turning points were calculated accordingly (Table 5, the depth of soil temperature depends on the site specific conditions in each study).…”
Section: Discussionsupporting
confidence: 71%
“…Data were run on point emissions and properties, except those between methane emissions and DOC as they are averaged values of each sampling campaigns. To compare our results with the global data on methane emission and associated soil temperatures across wetlands, we use the data from Wickland et al (2001), Delsontro et al (2010), He et al (2014), Song et al (2015), Peng et al (2019), and Liu et al (2020) that were extracted by GetData Graph Digitizer 2.2.5. p < 0.05 indicates significant differences. Statistical analyses were conducted using SPSS 17.0.…”
Section: Methodsmentioning
confidence: 99%