As one of the most important blue carbon ecosystems (Nellemann & Corcoran, 2009), tidal mangroves contain rich carbon storage and sequestrate atmospheric carbon dioxide (CO 2 ) at much larger rates per unit area than inland forests (Alongi, 2014;Mcleod et al., 2011). With high carbon sink potential, mangroves have been increasingly recognized as an effective long-term carbon sink option in climate change mitigation (Howard et al., 2017). To conduct a scientific assessment of mitigation potential, detailed characterization of mangrove carbon fluxes and accurate quantification of mangrove carbon budgets are needed. However, the knowledge of temporal and spatial variations in mangrove carbon fluxes and their responses to environmental factors are very limited (Alongi, 2012). On the one hand, located in the margin between land and sea, mangrove carbon fluxes are subject to many other environmental stresses except for those typically with inland forests, such as tidal inundation (Crase et al., 2015), high salinity (Song et al., 2011) and wastewater pollution (Jiang et al., 2018). On the other hand, it is challenging to manually monitor mangrove carbon fluxes on a regular basis due to notoriously difficult field conditions and inaccessibility to mangrove forests.The magnitude of mangrove carbon fluxes can be estimated indirectly by stock-difference methods and directly by flux methods (Howard et al., 2014). The stock-difference methods calculate the change in carbon stock between two points in time and use the change as a proxy of carbon fluxes, while flux methods directly measure gaseous carbon fluxes using gas flux techniques including static chamber and eddy covariance (EC). Static chamber method is the most common gas flux technique to calculate gaseous carbon fluxes, but this method suffers from several issues, such as chamber-induced change in temperature/light during the