Carbon dynamics and CO2 and CH4 outgassing in the Mekong delta
- 1Chemical Oceanography Unit, University of Liège, 4000 Liège, Belgium
- 2Programa de Geoquímica, Universidade Federal Fluminense, 24020015, Niterói, Brazil
- 3Laboratoire Environnements et Paléoenvironnements Océaniques et Continentaux, CNRS, Université de Bordeaux, 33405, Talence, France
- 4Department of Earth and Environmental Sciences, KU Leuven, 3001 Leuven, Belgium
Correspondence: Alberto V. Borges (email@example.com)
We report a data set of biogeochemical variables related to carbon cycling obtained in the three branches (M Tho, Hàm Luông, C Chiên) of the Mekong delta (Bn Tre province, Vietnam) in December 2003, April 2004, and October 2004. Both the inner estuary (upstream of the mouth) and the outer estuary (river plume) were sampled, as well as side channels. The values of the partial pressure of CO2 (pCO2) ranged between 232 and 4085 ppm, O2 saturation level (%O2) between 63 and 114 %, and CH4 between 2 and 2217 nmol L−1, within the ranges of values previously reported in temperate and tropical meso- and macro-tidal estuaries. Strong seasonal variations were observed. In the upper oligohaline estuary, low pCO2 (479–753 ppm) and high %O2 (98–106 %) values were observed in April 2004 most probably related to freshwater phytoplankton growth owing to low freshwater discharge (1400 m3 s−1) and increase in water residence time; during the two other sampling periods with a higher freshwater discharge (9300–17 900 m3 s−1), higher pCO2 (1895–2664 ppm) and lower %O2 (69–84 %) values were observed in the oligohaline part of the estuary. In October 2004, important phytoplankton growth occurred in the offshore part of the river plume as attested by changes in the contribution of particulate organic carbon (POC) to total suspended matter (TSM) (%POC) and the stable isotope composition of POC (δ13C-POC), possibly related to low TSM values (improvement of light conditions for phytoplankton development), leading to low pCO2 (232 ppm) and high %O2 (114 %) values. Water in the side channels in the Mekong delta was strongly impacted by inputs from the extensive shrimp farming ponds. The values of pCO2, CH4, %O2, and the stable isotope composition of dissolved inorganic carbon (δ13C-DIC) indicated intense organic matter degradation that was partly mediated by sulfate reduction in sediments, as revealed by the slope of total alkalinity (TA) and DIC covariations. The δ13C-POC variations also indicated intense phytoplankton growth in the side channels, presumably due to nutrient enrichment related to the shrimp farming ponds. A data set in the mangrove creeks of the Ca Mau province (part of the Mekong delta) was also acquired in April and October 2004. These data extended the range of variability in pCO2 and %O2 with more extreme values than in the Mekong delta (Bn Tre), with maxima and minima of 6912 ppm and 37 %, respectively. Similarly, the maximum CH4 concentration (686 nmol L−1) was higher in the Ca Mau province mangrove creeks than in the Mekong delta (Bn Tre, maximum 222 nmol L−1) during the October 2004 cruise (rainy season and high freshwater discharge period). In April 2004 (dry season and low freshwater discharge period), the CH4 values were much lower than in October 2004 (average 19 ± 13 and 210 ± 158 nmol L−1, respectively) in the Ca Mau province mangrove creeks, owing to the higher salinity (average 33.2 ± 0.6 and 14.1 ± 1.2, respectively) that probably led to higher sediment sulfate reduction, leading to inhibition of sediment methanogenesis and higher anaerobic CH4 oxidation. In the inner estuarine region (three branches of the Mekong delta), CO2 emissions to the atmosphere averaged 121 mmol m−2 d−1, and the CH4 emissions averaged 118 µmol m−2 d−1. The CO2 emission to the atmosphere from the Mekong inner estuary was higher than reported in the Yangtze and Pearl river inner estuaries. This was probably due to the lower salinity in the Mekong delta branches, possibly due to different morphology: relatively linear channels in the Mekong delta versus funnel-shaped estuaries for the Yangtze and Pearl river inner estuaries.
Estuaries are the main pathways for the transfer of particulate and dissolved matter from land to the ocean (through rivers). Particulate and dissolved matter undergo strong transformations, as estuaries are sites of intense biogeochemical processing (for example Bianchi, 2006) that in most cases leads to substantial emissions of greenhouse gases such as carbon dioxide (CO2) and methane (CH4) (for example Borges and Abril, 2011). Most estuarine environments are net heterotrophic ecosystems (Gattuso et al., 1998; Testa et al., 2012), leading to the production and emission to the atmosphere of CO2 and CH4. The production of CO2 and CH4 is modulated by various physical features resulting from estuarine geomorphology such as water residence time (Borges et al., 2006; Joesoef et al., 2017), tidal amplitude and vertical stratification (Borges, 2005; Koné et al., 2009; Crosswell et al., 2012; Joesoef et al., 2015), and connectivity with tidal flats and salt marshes (Middelburg et al., 2002; Cai, 2011). Highly eutrophic (Cotovicz Jr. et al., 2015) or strongly stratified estuarine systems (Koné et al., 2009) can exceptionally act as sinks of CO2 due to high carbon sequestration, although high organic matter sedimentation can concomitantly lead to high CH4 production and emission to the atmosphere (Koné et al., 2010; Borges and Abril, 2011).
The global CO2 emissions from estuaries have been estimated by several studies (Abril and Borges, 2004; Borges, 2005; Borges et al., 2005; Chen and Borges, 2009; Laruelle et al., 2010, 2013; Cai, 2011; Chen et al., 2012, 2013) and range from 0.1 to 0.6 PgC yr−1, equivalent in magnitude to 5–30 % of the oceanic CO2 sink of ∼ 2 PgC yr−1 (Le Quéré et al., 2016). These values were derived from the scaling of air–water CO2 flux intensities (per surface area) compiled from published data that were extrapolated to estimates of the global surface of estuaries. The most recent estimates are lower than the older ones, reflecting the increase by an order of magnitude in the availability of data on air–water CO2 fluxes and more precise estimates of surface areas of estuaries structured by types (for example Dürr et al., 2011). The global estimates of CH4 emissions from estuaries are also relatively variable, ranging between 1 and 7 TgCH4 yr−1 (Bange et al., 1994; Upstill-Goddard et al., 2000; Middelburg et al., 2002; Borges and Abril, 2011) and are modest compared to other natural (220–350 TgCH4 yr−1) and anthropogenic (330–335 TgCH4 yr−1) CH4 emissions (Kirschke et al., 2013). Unlike CO2, the most recent global estimate of estuarine CH4 emissions is the highest because it accounts for the direct emissions of CH4 from sediment to atmosphere (when intertidal areas are exposed) (Borges and Abril, 2011). However, published estuarine CH4 emissions are most probably underestimated because they do not account for CH4 ebullition and gas flaring, although emissions to the atmosphere of CH4 originating from gassy sediments in coastal environments have been shown to be intense (Borges et al., 2016, 2017). Reported CO2 and CH4 emissions from rivers are also highly uncertain and the proposed values also span a considerable range. Global riverine CO2 emission estimates range between 0.1 PgC yr−1 (Liu et al., 2010) and 1.8 PgC yr−1 (Raymond et al., 2013), while riverine CH4 emission estimates range between 2 TgCH4 yr−1 (Bastviken et al., 2011) and 27 TgCH4 yr−1 (Stanley et al., 2016). Both CO2 and CH4 riverine emissions mainly occur in tropical areas (Borges et al., 2015a, b).
The first studies of CO2 and CH4 dynamics and emissions from estuaries were carried out during the late 1990s in Europe (Frankignoulle et al., 1996, 1998; Middelburg et al., 2002) and the US (Cai and Wang, 1998). Since then, CO2 data coverage has tremendously increased with additional studies at subtropical and tropical latitudes (for example Sarma et al., 2012; Chen et al., 2012; Rao and Sarma, 2016) and in the large river–estuarine systems such as the Amazon (Lefèvre et al., 2017), the Mississippi (Huang et al., 2015), the Yangtze (Changjiang) (Zhai et al., 2007; Zhang et al., 2008), and the Pearl (Guo et al., 2009; Zhou et al., 2009). The number of studies on CH4 in estuarine and coastal environments has not increased in recent years as spectacularly as those concerning CO2, attracting less research efforts because the marine source of CH4 to the atmosphere (0.4–1.8 TgCH4 yr−1; Bates et al., 1996; Rhee et al., 2009) is very modest compared to other natural and anthropogenic CH4 emissions (Kirschke et al., 2013); however, continental shelves and estuaries are more intense sources of CH4 to the atmosphere than the open ocean, in particular shallow and permanently well-mixed coastal zones (Borges et al., 2016, 2017). However, numerous large river–estuarine systems, such as the Mekong although it is the world's 10th largest river in water discharge (470 km3 yr−1), 12th largest in length (4800 km), and 21st largest in drainage area (795 000 km2) (Li and Bush, 2015), remain totally uncharted with respect to CO2 and CH4 data.
As a contribution to the special issue in Biogeosciences on “Human impacts on carbon fluxes in Asian river systems”, we report a data set obtained in the three branches (M Tho, Hàm Luông, C Chiên) of the Mekong delta (Fig. 1) in December 2003, April 2004, and October 2004 of biogeochemical variables related to carbon cycling: pH, total alkalinity (TA), O2, calculated partial pressure of CO2 (pCO2), dissolved CH4 concentration, particulate (POC) and dissolved (DOC) organic carbon concentration and stable isotopic composition, particulate nitrogen (PN), dissolved inorganic carbon (DIC) stable isotopic composition, and total suspended matter (TSM). The aim of the paper is to give a general description of carbon cycling with an emphasis on CO2 and CH4 dynamics in the Mekong delta estuarine system that can be used as a reference state to evaluate future changes in response to modifications in hydrology related the construction of planned large dams (leading to water abstraction and sediment retention), eutrophication, shoreline erosion, and sea level rise.
2.1 Description of the Mekong River and delta
Himalayan rivers (Yangtze, Mekong, Salween, Ayeyarwady, Ganges, Brahmaputra, Indus) are among the world's largest. The Mekong River is one of the longest rivers among the Himalayan watersheds, ranking it as the 12th longest river in the world. It flows 4800 km from the eastern part of the Tibetan Plateau through six different countries (China, Myanmar, Lao People's Democratic Republic (PDR), Thailand, Cambodia, Vietnam), into the South China Sea, draining an area of 795 000 km2. The basin is divided into the Upper Mekong (parts of China and Myanmar, surface of 195 000 km2, first 2000 km in length) and the Lower Mekong (parts of Lao PDR, Thailand, Cambodia, and Vietnam; surface of 600 000 km2). The Upper Mekong is mountainous (altitude 400–5000 m) with no significant large tributaries and a low population density (< 10 inhabitants km−2). The Lower Mekong is lowland, drains very large tributary river systems, and is densely populated (80–460 inhabitants km−2). Climate ranges from cold temperate in the Upper Mekong to tropical monsoonal in the Lower Mekong. The annual flow of the Mekong River is ∼ 470 km3, ranking 10th among the world's largest rivers (Dai and Trenberth, 2002). Water sources are snowmelt in the Upper Mekong and surface run-off in the Lower Mekong. Seasonal variations in freshwater flow are controlled by the East Asian monsoons, resulting in an annual unimodal flood pulse. About 75 % of the annual flow occurs in 4 months (July–October). The delta is divided into two main rivers, the Hâu and the Tin, which equally share the total freshwater discharge. The Tin River further divides into the M Tho, Hàm Luông, and C Chiên river branches (Fig. 1), which deliver 8, 14, and 23 %, respectively, of total freshwater from the Mekong network (based on the average of five different estimates reported by Nguyen et al., 2008). The annual sediment load was ∼ 130–160 million tons in the 1960s and 110 million tons in the 1990s according to Milliman and Farnsworth (2011). Li and Bush (2015) report a less dramatic decrease in annual sediment load from 171 million tons for the pre-regulated period (1923–1991) to 168 million tons for the regulated period (1992–2007). Estimates of the annual solute transport range between 40 and 123 million tons (Meybeck and Carbonnel, 1975; Gaillardet et al., 1999; Li and Bush, 2015). Exposed lithological strata are dominated by shales (43.2 %), followed by carbonates (21.4 %), shield rocks (18.2 %), sands and sandstone (8.4 %), basalts (5.8 %), and acid volcanic rocks (2.9%) (Amiotte Suchet et al., 2003). The Mekong River basin is populated by 70 million people and this population is expected to increase to 100 million by 2050 (Varis et al., 2012). Recent and fast economic development has substantially increased the use of water resources (Piman et al., 2013), in particular for agriculture, energy (hydropower), and fishery (Västilä et al., 2010). Until recently, the Mekong River was considered one of the last unregulated great rivers with a flow regime close to its natural state (Adamson et al., 2009). Economic development in the region has led to the construction of several dams mainly for the production of hydropower, potentially affecting water and sediment flows (Fu et al., 2008; Wang et al., 2011; Lu et al., 2014; Piman et al., 2013, 2016). The construction of major infrastructures is planned on the transboundary Srepok, Tônle San, and Srekong rivers, which contribute up to 20 % of the total annual water flow of the Mekong (Piman et al., 2016).
The Mekong River delta covers an area of 50 000 km2 and is the third-largest tide-dominated delta in the world after the Amazon and Ganges–Brahmaputra deltas. The upper limit of the delta (limit of the tidal influence) is the city of Phnom Penh in Cambodia, and at the coast it extends in the north from the mouth of the Saigon River to Cape Ca Mau in the south. The delta is meso-tidal with an average tidal amplitude of 2.5 m at the estuarine mouths and a maximum tidal amplitude of 3.8 m, and tides have mixed diurnal and semi-diurnal components, with a dominance of the semi-diurnal (period ∼ 12 h) component (Takagi et al., 2016). It is tremendously important in the food supply and economic activity of Vietnam, as it sustains 90 % of rice (> 20 million tons annually) and 60 % of national seafood production. The development of shrimp farming in the delta has led to the reduction of mangrove forests (de Graaf and Xuan, 1998; Nguyen et al., 2011), which today only remain significantly in the Ca Mau province. Shrimp farming started in the late 1970s and has accelerated during the mid-1980s until present (de Graaf and Xuan, 1998; Tong et al., 2010). The delta is populated by more than 17 million people (> 80 % in rural areas), representing nearly a quarter of Vietnam's total population, with an annual population growth of more than 2 %. The delta is a low-lying area with an average elevation of < 2 m a.s.l., making it one of the most vulnerable deltas in the world to sea level rise (IPCC, 2014). The decrease in freshwater and sediment delivery combined with the rising sea level and subsidence, as well as coastal (shoreline) erosion, are potential threats for economic activities in the Mekong delta, for instance due to the impact of salinity intrusion on agriculture, compromising the economy and livelihood of local populations (Smajgl et al., 2015). Several studies predict that a large fraction (70–95 %) of the sediment load could be trapped by hydropower reservoirs if all of the planned infrastructures are effectively built (Kummu et al., 2010; Kondolf et al., 2014). In addition, sediment river delivery could also vary in response to changes in climate (Västilä et al., 2010; Lauri et al., 2012; Darby et al., 2016). This would have important consequences on the sediment deposition in the delta that seems to have already shifted from a net depositional (accretion) regime into a net erosion regime (Anthony et al., 2015; Liu et al., 2017). The nutrient inputs to the continental shelf from the Mekong delta sustain high phytoplankton growth in the Mekong River plume (Grosse et al., 2010), which is one the most productive areas of the South China Sea (Liu et al., 2002; Qiu et al., 2011; Gao et al., 2013; Loisel et al., 2017).
Sampling in three branches of the Mekong delta (M Tho, Hàm Luông, C Chiên; Fig. 1) was carried out during three field campaigns (29 November–5 December 2003; 2–7 April 2004; 14–19 October 2004) on the inspection boat of the Bn Tre Fishery Department, in collaboration with the Research Institute for Aquaculture No. 2 (Ho Chi Minh City). Sampling in the mangrove creeks of the Ca Mau province was carried out during two field campaigns (10–14 April 2004; 23–25 October 2004) with a speed boat. The map of the sampling stations in the mangrove creeks of the Ca Mau province is given by Koné and Borges (2008), who reported pCO2, %O2, and TSM data.
Samples for pH, TA, O2, TSM, POC and δ13C-POC, PN, δ13C-DIC were collected and analysed at all stations of all three field campaigns. Samples for dissolved CH4 concentration were collected during the two last field campaigns, for DOC during the last field campaign, and for dissolved silica (DSi) during the second field campaign.
2.3 Sample collection and analysis
Salinity and water temperature were measured in situ using a portable thermosalinometer (WTW Cond 340) with a precision of ±0.1 and ±0.1 ∘C, respectively. Subsurface waters (top 1 m) were sampled with a 1.7 L Niskin bottle (General Oceanics) for the determination of pH and dissolved gases sampled with a silicone tube. Water for the determination of O2 was sampled in a Winkler-type borosilicate bottle and the oxygen saturation level (%O2) was measured immediately after collection with a polarographic electrode (WTW Oxi 340) calibrated on saturated air, with an accuracy of ±0.1 %. The pH was also sampled in a Winkler bottle and measured immediately after collection with a combination electrode (Metrohm 6.0232.100) calibrated on the US National Bureau of Standards scale as described by Frankignoulle and Borges (2001), with a precision and estimated accuracy of ±0.001 and ±0.005 pH units, respectively. Water for the determination of CH4 was sampled in duplicate with a silicone tube from the 1.7 L Niskin bottle into 50 mL borosilicate serum bottles, allowing the flushing of 2–3 times the final volume; then the water was poisoned with 100 µL of a saturated solution of HgCl2 sealed with a butyl stopper and crimped with an aluminium cap. The CH4 concentration was measured using the headspace technique (Weiss, 1981) using a gas chromatograph with flame ionization detection (Hewlett Packard 5890A), calibrated with certified CH4 : N2 mixtures of 10 and 200 ppm CH4 (Air Liquide, France), with a precision of ±5 %. Water for the analysis of δ13C-DIC was sampled in 12 mL Exetainer vials and poisoned with 20 µL of a saturated HgCl2 solution. A He headspace was created, and ∼ 300 µL of H3PO4 was added to convert all DIC species to CO2. After overnight equilibration part of the headspace was injected into the He stream of an elemental analyser isotope ratio mass spectrometer (EA-IRMS; Thermo Finnigan Flash1112 and Thermo Finnigan Delta+XL) for δ13C measurements, with a precision of better than ±0.2 ‰.
Samples for TSM were filtered on pre-weighed and pre-combusted (5 h at 450 ∘C) 47 mm Whatman GF/F filters (0.7 µm porosity), rinsed with bottled drinking water to avoid salt contributions and subsequently dried. Samples for POC, PN, and δ13C-POC were filtered on pre-combusted 25 mm Whatman GF/F filters (0.7 µm porosity) and dried. These filters were later decarbonated with HCl fumes under partial vacuum for 4 h, re-dried, and packed in Ag cups. POC and PN were determined on a Thermo Finnigan Flash EA1112 using acetanilide as a standard, and the resulting CO2 was measured on a Thermo Finnigan delta + XL interfaced via a ConFlo III to the EA. Reproducibility of δ13C-POC measurements was better than ±0.2 ‰. Samples for DOC and δ13C-DOC, TA, DSi, and major cations (Ca2+, Mg2+, Na+, K+) were obtained by pre-filtering water on cellulose acetate filters for DSi, and pre-combusted Whatman GF/F filters for the other variables, followed by filtration on 0.2 µm cellulose acetate syringe filters (Sartorius). DOC and δ13C-DOC were stored in 40 mL borosilicate bottles and preserved by addition of 50 µL of H3PO4. DSi and major cations were stored in 20 mL high-density polyethylene scintillation vials and preserved with HNO3 (50 µL from DSi, 10 µL for major cations). TA was stored un-poisoned in 100 mL polyethylene vials. DOC concentrations and δ13C signatures were measured with a modified Thermo HiPerTOC TOC analyser and interfaced with a Thermo delta + XL IRMS as described by Bouillon et al. (2006). DSi was measured with the colorimetric method of Koroleff (1983), with a precision of ±0.1 µmol L−1. TA was measured in 50 mL samples using automated Gran titration with 0.1 M HCl as titrant, with a reproducibility of ±1 µmol kg−1. Samples for major cations were measured with inductively coupled plasma–atomic emission spectrometry (ICP-AES) and with a reproducibility better than ±3 %.
The dissolved concentration of CO2 is expressed as pCO2 in parts per million (ppm), following Henry's law (Henry, 1803). Measurements of TA and pH were used to compute pCO2 and DIC using the carbonic acid thermodynamic dissociation constants of Cai and Wang (1998), with an estimated accuracy of ±5 % and ±5 µmol kg−1, respectively (Frankignoulle and Borges, 2001). Measured TA and pH values were well within the range of applicability of the pCO2 calculation according to Abril et al. (2015), with pH > 7 and TA > 1000 µmol kg−1, even in freshwaters.
Air–water fluxes of CO2 (FCO2) and CH4 (FCH4) were calculated according to
where F is the flux of the gas, ΔG is the air–water gradient of the gas, and k is the gas transfer velocity.
Values of k were computed using wind speed field measurements with a handheld anemometer, and the parameterization as a function of wind speed given by Raymond and Cole (2001) (the “non-dome” parameterization). The k values in estuarine environments are highly variable and parameterizations as a function of wind speed are site-specific due to variable contribution of fetch limitation and tidal currents (Borges et al., 2004). The parameterization of Raymond and Cole (2001) probably provides minimal k values; thus, the FCO2 and FCH4 values given hereafter are considered conservative estimates. Atmospheric pCO2 values were retrieved from the National Oceanic and Atmospheric Administration Earth System Research Laboratory atmospheric measurement network database at the Guam station (Mariana Islands, 13.386∘ N 144.656∘ E) located in the Pacific Ocean, approximately at the same latitude as the Mekong delta. The atmospheric pCO2 values were converted from dry air to humid air using the water vapour formulation as a function of salinity and temperature given by Weiss and Price (1980). For the three sampling periods, the dry air CO2 mixing ratio averaged 376 ± 4 ppm and the humid air CO2 mixing ratio averaged 362 ± 3 ppm. For CH4, a constant atmospheric value of 1.8 ppm was used. The Henry constant of CO2 and CH4 was computed from salinity and temperature according to Weiss (1974) and Yamamoto et al. (1976), respectively, and the Schmidt number for CO2 and CH4 was computed from temperature according to Wanninkhof (1992). The air–water CO2 and CH4 values were area-averaged and scaled to the surface of the three estuarine branches using surface areas derived from satellite images from Google Earth.
2.4 Mixing models
Mixing models were used to investigate sources and sinks of TA, DIC, O2, and δ13C-DIC along the salinity gradient. We used a mixing model for TA, DIC, and O2 that assumes a conservative mixing and no gaseous exchange with the atmosphere for a solute (E) according to
where ES is the concentration of E at a given salinity (Sal), EF is the concentration of E at the freshwater end-member (with a salinity of SalF), and EM is the concentration of E at the marine end-member (with a salinity of SM).
The conservative mixing of δ13C-DIC was computed according to Mook and Tan (1991):
where Sal is the salinity of the sample, DICF and δ13CF-DIC are, respectively, the DIC concentration and stable isotope composition at the freshwater end-member, and DICM and δ13CCM-DIC are, respectively, the DIC concentration and stable isotope composition at the marine end-member.
2.5 Data set
The geo-referenced and time-stamped data set is available in the Supplement of the paper (Table S1).
3.1 Spatial and seasonal variations in the main branches of the Mekong delta (M Tho, Hàm Luông, C Chiên)
The three sampling cruises covered three distinct phases of the hydrological cycle (Fig. 2): low water (April 2004), close to high water (October 2004), and falling water (December 2003). This strongly affected the salinity intrusion into the three inner estuarine channels (M Tho, Hàm Luông, C Chiên): in December 2003 and October 2004, freshwater was observed throughout the inner estuarine channels down to the mouths, while in April 2004 the salinity intrusion occurred up to 60 km upstream of the estuarine mouths (Fig. 3). The pCO2 values showed a general inverse pattern compared to salinity and strongly decreased offshore from the mouth of the three delta arms in December 2003 and October 2004, while the decreasing pattern of pCO2 occurred within the three estuarine channels in April 2004. In December 2003 and October 2004, the pCO2 values upstream (freshwater) ranged between 1895 and 2664 ppm, well above atmospheric equilibrium (362 ppm) and above the range of values (703–1597 ppm) reported by Alin et al. (2011) in the upstream reaches of the Mekong river network during the high water period (September–October 2004–2005). This difference might be due to a stronger human influence on the densely populated Mekong delta, or to geomorphology (lowland rivers versus higher-altitude rivers). The pCO2 values from the extensive data set in the Mekong River at Tân Châu (∼ 100 km upstream of the area we sampled) ranged between 390 and 4861 ppm and averaged 1325 ppm (Li et al., 2013), encompassing the pCO2 values we obtained in the freshwater part of the delta. The pCO2 values in five streams of the Red River network in northern Vietnam ranged between 750 and 2400 ppm and averaged 1597 ppm (Le et al., 2017), comparable to the pCO2 values we obtained in the freshwater part of the Mekong delta. The pCO2 values in freshwaters were significantly correlated to %O2 (Fig. 4) indicating biological control of both these variables. Similarly, the correlation between pCO2 and δ13C-DIC (Fig. 4) resulted from the degradation of organic matter that leads to a preferential release of 12CO2 (since organic matter is isotopically light compared to the background DIC pool), leading to more negative δ13C-DIC values. The high pCO2 values in freshwaters in December 2003 and October 2004 corresponded to low %O2 values (69–84 %) indicative of degradation of organic matter. In April 2004, the most upstream sampled stations of the delta (freshwater) were characterized by pCO2 values (479–753 ppm) closer to atmospheric equilibrium and high %O2 values (98–106 %) indicative of freshwater phytoplankton development during low water, probably related to an increase in water residence time related to low freshwater discharge (Reynolds and Descy, 1996), as also observed in other tropical rivers (for example Descy et al., 2017). Phytoplankton development during low water was also reported in the Upper Mekong River (confluence with the Tonle Sap River) by Ellis et al. (2012), based on elemental and lignin analyses. The impact of biological activity on CO2 dynamics in the uppermost freshwater part of the estuary was confirmed by δ13C-DIC values that were higher in April 2004 (−8.7 ± 0.4 ‰, n=5) compared to December 2003 (−10.6 ± 0.6, n=6 ‰) and October 2004 (−10.9 ± 0.3 ‰, n=15). Indeed, pCO2 was positively related to freshwater discharge, while %O2 and δ13C-DIC were negatively related to freshwater discharge (Fig. 5), as also shown in other tropical rivers such as the Oubangui (Bouillon et al., 2012b, 2014). The data set in the Mekong River at Tân Châu reported by Li et al. (2013) shows a similar seasonal pattern, with lower pCO2 values during low water (March–May) and higher pCO2 values during high water (October–December). In April 2004, there was a marked increase in pCO2 from the most upstream stations (salinity 0) to the stations located at 60 km from Vĩnh Long (corresponding roughly to a salinity of 2). This increase in pCO2 was mirrored by a general decrease in %O2, suggesting enhanced organic matter degradation in the oligohaline estuarine region, typical of estuarine environments (for example Morris et al., 1978; Bianchi, 2006). In parallel, there was a general increase in DSi from salinity 0 to 2 suggesting that part of the enhanced organic matter degradation in the upper estuary in April 2004 was fuelled by the decay of freshwater diatoms due to haline (osmotic) stress (for example Muylaert and Sabbe, 1999; Ragueneau et al., 2002), as also observed in other tropical estuaries such as the Tana and the Kidogoweni in Kenya (Bouillon et al., 2007a, b). In December 2003 and April 2004, a general gradual increase in pCO2 was also observed along the estuarine channels towards the mouth, although the %O2 decrease was less marked than in April 2004. The TA values at zero salinity ranged from ∼ 960 to ∼ 980 µmol kg−1 in October 2004 and December 2003, respectively, significantly lower than in April 2004 (∼ 1400 µmol kg−1) (Mann–Whitney (MW) test at 0.05 level, p < 0.0001). These values are higher than the HCO concentration of 949 µmol kg−1 reported by Meybeck and Carbonnel (1975) at Phnom Penh from January 1961 to 1962. The data of Meybeck and Carbonnel (1975) were obtained about 230 km upstream of our sampling sites in the Mekong delta; thus, the difference could be due to the general downstream increase in dissolved ions typically observed in rivers (for example Whitton, 1975), but we cannot exclude methodological differences or long-term changes. Li and Bush (2015) did not identify clear long-term trends in HCO at two stations in the Lower Mekong River from 1960 to 2011. Our TA values converge with the median (1082 µmol kg−1) of a large data set during the 1972–1996 period from 42 stations in the Lower Mekong delta compiled by the Mekong River Commission and reported by Li et al. (2014) and the average of TA (1026 µmol kg−1) reported by Huang et al. (2017). The seasonal variations in TA follow those of freshwater discharge (Fig. 5), as also shown in other major rivers such as the Mississippi (Cai et al., 2008) and the Oubangui (Bouillon et al., 2012b, 2014). TA in freshwater was correlated to Ca2+ with a slope of 2.0 (Fig. S1 in the Supplement) consistent with the weathering of calcite (CaCO3, HCO : Ca2+ = 2 : 1) and to Mg2+ with a slope of 2.2 consistent with the weathering of dolomite ((Ca, Mg)CO3, HCO : (Ca2+, Mg2+) = 2 : 1). Such stoichiometric ratios between HCO and Ca2+ and Mg2+ might also result from weathering of silicate rocks such as anorthite (Ca-plagioclase feldspar, CaAl2Si2O8, HCO : Ca2+ = 2 : 1), chlorite (Mg5Al2Si3O10, HCO : Mg2+ = 2 : 1), or olivine (MgSiO4, HCO : Mg2+ = 2 : 1). However, Li et al. (2014) have shown, based on an extensive water chemistry data set, that carbonate rock weathering largely dominates silicate weathering in the Lower Mekong River, and this seems to also be the case in the Upper Mekong River (Manaka et al., 2015). TA in freshwater was also correlated to Na+ but with a slope of 0.5, lower than expected from the weathering of albite (NaAlSi3O8; HCO : Na+ = 1 : 1), and to K+ but with a slope of 14, higher than expected from the weathering of microcline (K-feldspar, KAlSi3O8, HCO : K+ = 1 : 1). Weathering of calcite alone would not account for all of the TA, but this would be the case for a mixture of weathering of calcite and dolomite (Fig. S2), also in agreement with the analysis of Li et al. (2014).
As a function of salinity, pCO2 and %O2 showed regular decreasing and increasing patterns, respectively, in the three delta channels (Fig. 6). The lowest offshore pCO2 value was observed in October 2004 (314 ppm at 27.0 salinity), lower than in December 2003 (509 ppm at 17.9 salinity) and April 2004 (423 ppm at 31.9 salinity). TA showed a linear evolution against salinity, indicative of near-conservative mixing behaviour. This was consistent with a near-conservative mixing behaviour of major cations (Ca2+, Mg2+, K+, Na+) (Fig. S3). DIC generally followed the seasonal and spatial patterns of those of TA. δ13C-DIC showed a typical increasing pattern with salinity (Mook and Tan 1991; Bouillon et al., 2012a), resulting from the mixing of freshwater with more negative δ13C signatures (−14 to −8 ‰) and marine water with a δ13C signature close to 0 ‰. The 13C-depleted signature in freshwater DIC results mainly from the degradation of organic matter, which contributes CO2 with a signature close to that of the source organic carbon, which in the Mekong delta for POC ranged between −28 and −26 ‰, and from the weathering of carbonate and silicate minerals (which are typically driven by reaction with CO2 derived from organic matter). CH4 showed very strong seasonal variations in freshwaters of the Mekong delta with values < 20 nmol L−1 in April 2004 and values ranging between 25 and 220 nmol L−1 in October 2004 (significantly different, MW test p < 0.0001). The seasonal CH4 variation could result from the flooding of riparian and floodplain areas and/or CH4 inputs from surface run-off during the rainy season and high water period leading to high CH4 values in October 2004. The downstream decrease in CH4 in the estuarine salinity mixing zone is typical (Borges and Abril, 2011; Upstill-Goddard and Barnes, 2016), resulting from CH4 riverine loss in the estuary due to emission to the atmosphere, microbial CH4 oxidation, and mixing with marine waters that have CH4 concentrations close to atmospheric equilibrium (Rhee et al., 2009). The CH4 concentration in the most offshore sampled station was indeed close to atmospheric equilibrium in April 2004 (2 nmol L−1) for a salinity of 31.9 but was higher in October 2004 (17 nmol L−1), reflecting the lower salinity of 17.0. These values encompassed the CH4 concentrations of 4–6 nmol L−1 reported by Tseng et al. (2017) 150 km offshore from the Mekong delta river mouth.
TSM values showed marked spatial gradients in October 2004 with high values up to 447 mg L−1 in freshwaters and low values (2 mg L−1) in marine waters. In April 2004 and December 2003, TSM values in freshwaters were significantly lower (MW test, p < 0.0001) and the spatial variations along the salinity gradient were less obvious. POC concentration ranged between 0.2 and 4.0 mg L−1, and the seasonal and spatial variations in POC were very similar to those in TSM. %POC values ranged between 2 and 4 %, typical for the corresponding range of TSM values in world rivers (Meybeck, 1982; Ludwig et al., 1996) and in estuaries (Abril et al., 2002) and within the range measured in the Lower Mekong just upstream of the confluence with the Tonle Sap river during an annual cycle by Ellis et al. (2012). However, %POC values were distinctly higher (up to ∼ 13 %) in marine waters in October 2004, probably resulting from a phytoplankton bloom, as also testified by low POC : PN ratios (as low as 4.9), high %O2 (up to 114 %) and δ13C-DIC (up to 0 ‰) values, and low pCO2 (as low as 232 ppm at salinity 12.9) values. The phytoplankton bloom probably resulted from higher light availability in marine waters owing to lower TSM values (down to 2 mg L−1). Reported seasonal cycles of remotely sensed chlorophyll a concentration also indicate higher phytoplankton biomass and primary production in October compared to April and December (Gao et al., 2013; Loisel et al., 2017). The δ13C-POC values in the freshwater part of the delta (salinity < 1) from the three sampling campaigns averaged −26.7 ± 0.7 ‰ (n=34), distinctly higher than the data from Ellis et al. (2012), which averaged −29.8 ± 0.9 ‰, but similar to data collected by Martin et al. (2013; average −26.4 ‰) at the same site as the Ellis et al. (2012) study. These δ13C-POC values are consistent with the expected dominance of terrestrial C3 vegetation in the riverine organic carbon load.
In October 2004, DOC showed a decreasing pattern while δ13C-DOC values increased, as typically observed in estuaries (Bouillon et al., 2012a). Within the freshwater zone (salinity < 1), DOC values (2.4 ± 0.2 mg L−1, n=19) were within the range (0.9–5.1 mg L−1) reported by Huang et al. (2017), and δ13C-DOC values (−27.8 ± 0.6 ‰, n=19) were again consistent with a dominance of terrestrial C3 vegetation inputs and close to values reported by Martin et al. (2013) slightly upstream in the Lower Mekong. The δ13C values were significantly lower in DOC than POC for the same samples in October 2004 (Fig. 7) (Wilcoxon matched-pair test at the 0.05 level, p<0.0001), probably reflecting the more refractory nature of riverine DOC compared to POC, the latter being removed faster during estuarine mixing and gradually replaced by POC of phytoplankton origin with a higher δ13C value.
3.2 Distinct patterns in side channels compared to the main branches of the Mekong delta
The sampled biogeochemical variables showed distinct patterns in the side channels of the Mekong delta compared to the main channels (M Tho, Hàm Luông, and C Chiên), irrespective of the sampling period. The observed patterns are consistent with the influence from the very extensive ponds devoted to shrimp farming that border the side channels of the Mekong delta (Tong et al., 2010). TSM, POC, and %POC values were generally higher in the side channels than in the three main estuarine channels. In December 2003, TSM and POC were statistically higher in the side channels than in the three main channels (MW test p=0.0273 and p<0.0001, respectively) but not for the other two cruises, although the statistical comparisons were probably obscured by the mixing-induced changes along the salinity gradient. The DOC concentrations from the October 2004 cruise were also higher in the side channels (MW test p=0.0267). Higher %POC values could indicate a higher contribution of phytoplankton biomass to TSM, and this is consistent with the δ13C-POC values that were about 5–6 ‰ lower than the values in the three main estuarine channels at the same salinity values. There is an isotopic fractionation by phytoplanktonic primary production of about 20 ‰ during DIC uptake (Hellings et al., 1999), corresponding roughly to the difference in δ13C values between POC (overall average: −27.4 ± 1.8 ‰) and DIC (overall average: −8.2 ± 2.4 ‰) in the side channels. The phytoplankton primary production was probably sustained by high inorganic nutrient inputs from shrimp farming ponds typically observed in adjacent channels (for example Cardozo and Odebrecht, 2014) or within the ponds themselves (Alongi et al., 1999a). However, the more negative δ13C-DIC values in the side channels indicate sustained CO2 production from organic matter degradation related to the shrimp ponds (Alongi et al., 2000) (MW test p=0.0253 in December 2003 and p=0.0040 in April 2004). This is consistent with generally higher pCO2 values and lower %O2 in the side channels compared to the adjacent estuarine channels. As for TSM and POC, pCO2 and %O2 were only statistically different between side and main channels in December 2013 (MW test p<0.0001 for both), as the statistical comparisons were probably obscured by the mixing-induced changes along the salinity gradient. Although there was indication of phytoplankton development based on δ13C-POC (see above), the overall system was net heterotrophic, leading to accumulation of CO2, CH4, and light DIC and a decrease in O2. The distinctly higher CH4 values in side channels compared to main estuarine channels would indicate that part of the organic matter degradation in the side channels occurs in sediments (MW test p=0.0369 in April 2004 and p<0.0001 in October 2004). Alongi et al. (1999b) showed that methanogenesis in the sediments of shrimp farming ponds is low in the Ca Mau province. This allows us to suggest that the high CH4 in the side channels were presumably coming from the side channel sediments and not from the shrimp farming ponds. The generally higher TA values in the side channels than in estuarine channels could also indicate the effect of diagenetic anaerobic processes (for example Borges et al., 2003) (MW test p<0.0001 in December 2003 and October 2004).
We further explored data using the difference (or anomaly) between observed data and data predicted from conservative mixing models, noted as Δ (Fig. 8). Negative Δδ13C-DIC values were correlated to those of ΔO2 and ΔDIC, in particular in the side channels, as expected from production of CO2 and consumption of O2 due to degradation of organic matter. In October 2004, distinct positive Δδ13C-DIC values were associated with positive ΔO2 and negative ΔDIC in the Hàm Luông and C Chiên resulting from high phytoplankton production in the most offshore waters, as mentioned in the previous section. The relation between positive ΔDIC and negative ΔO2 in the side channels also indicates degradation of organic matter, while negative ΔDIC and positive ΔO2 in October 2004 in the Hàm Luông and C Chiên confirm the occurrence of high phytoplankton production in the most offshore waters. The slope of the linear regression of ΔDIC as a function of ΔO2 in the side channels ranged from 3.4 to 4.4. These values are distinctly higher than those expected from the degradation of organic matter following the Redfield stoichiometry (ΔDIC : ΔO2 = 106 : 138 = 0.8). The slope of the relation between ΔDIC and ΔO2 in October 2004 in the Hàm Luông and C Chiên (1.4) was lower than in the side channels but still higher than that predicted from Redfield stoichiometry. One possible explanation is that the change of concentration due to the exchange of gases with the atmosphere (equilibration) is faster for O2 than CO2 due to the effect on the latter of the buffer capacity of seawater. Another explanation that could explain the distinctly higher ΔDIC : ΔO2 ratio in the side channels relates to anaerobic organic matter degradation in sediments that seems higher compared to estuarine channels as also suggested by higher CH4 concentrations. The relative change of TA and DIC can be used to identify the processes involved in the generation of these quantities (for example Borges et al., 2003). The theoretical relative change of ΔTA versus ΔDIC was derived from the stoichiometry of biogeochemical reactions, based on Brewer and Goldman (1976) for aerobic respiration, on Smith and Key (1975) for CaCO3 dissolution, and on Froelich et al. (1979) for anaerobic reactions. The slope of the linear regression of ΔTA versus ΔDIC ranged between 0.55 and 0.87. Such values might have resulted from a combination of aerobic organic matter degradation (ΔTA : ΔDIC = −0.2) and dissolution of CaCO3 (or CaMg(CO3)2) (ΔTA : ΔDIC = 2.0). Accordingly, the calculated values of relative changes of ΔTA versus ΔDIC would require that CaCO3 dissolution corresponded to 34 and 48 % of aerobic organic matter degradation. Such a large CaCO3 dissolution is very unlikely in the Mekong delta because Ca2+ and Mg2+ showed conservative mixing as a function of salinity (Fig. S3) and because particulate inorganic carbon (PIC) is relatively low in the Mekong delta compared to POC. The %PIC of TSM (∼ 0.1 %) reported by Huang et al. (2017) is 1 order of magnitude lower than the %POC of TSM (1–8 %) we report (Fig. 6). The values of the slope of the linear regression of ΔTA versus ΔDIC (range 0.55–0.87) were intermediary between the theoretical slopes for aerobic organic matter degradation (ΔTA : ΔDIC = −0.2) and sulfate reduction (ΔTA : ΔDIC = 0.9), suggesting that TA and DIC were produced from the combination of these two processes. Such a scenario is very likely with sulfate reduction dominating in the sediments and aerobic respiration dominating in the water column. Our data do not allow us to determine whether these processes mainly occurred in the side channels or in the shrimp farming ponds themselves, although Alongi et al. (1999b) showed a strong dominance of aerobic respiration over other diagenetic degradation processes in sediments of shrimp ponds in the Ca Mau province. This would then suggest that sulfate reduction was mostly occurring within the side channels. The ΔTA : ΔDIC slope from the side channels correlated negatively to average salinity (Fig. 9), which is counter-intuitive since a higher contribution of sulfate reduction (ΔTA : ΔDIC ratio closer to 0.9) would have been expected at higher salinity (e.g. Borges and Abril, 2011). This pattern might result from a higher aerobic respiration in the water column of the side channels during the periods of low water (higher salinity) and/or a lower signal from sulfate reduction occurring within the shrimp farming ponds. The former scenario is consistent with the negative correlation between ΔO2 and salinity (Fig. 9).
3.3 Comparison with the Ca Mau mangrove creeks
The Ca Mau peninsula accounts for the largest proportion of remaining mangrove forests in the Mekong delta system. Data were gathered in two mangrove creek networks (Tam Giang and Kien Vang), allowing the comparison with data in the three estuarine channels of the Mekong delta (M Tho, Hàm Luông, and C Chiên) and associated side channels (hereafter referred to as Bn Tre Mekong delta, based on the name of the province), where the bordering mangrove forests have been cleared for the implementation of shrimp farming ponds. Data comparison is limited to the April and October 2004 cruises (Fig. 10). pCO2 was negatively related to %O2 in Ca Mau creeks and the Bn Tre Mekong delta owing to organic matter degradation as confirmed by the positive relation between Δδ13C-DIC and %O2. Data in the Ca Mau mangrove creeks allowed us to expand the range of variations in pCO2, %O2, and δ13C-DIC; the maximum pCO2 value in the Ca Mau mangrove creeks was 6912 ppm compared to 2926 ppm in the Bn Tre Mekong delta; the minimum %O2 and δ13C-DIC values were, respectively, 37 % and −14.6 ‰ in the Ca Mau mangrove creeks compared to 66 % and −11.4 ‰ in the Bn Tre Mekong delta. As previously noted by Borges and Abril (2011), the spatial variations in pCO2 and %O2 in the Ca Mau mangrove creeks were related to the size of the creeks, the narrower and presumably shallower creeks being characterized by higher pCO2 values and lower %O2 and δ13C-DIC values. Salinity was highly variable among the two sampling cruises (Fig. 11), on average 33.2 in April 2004 and 14.1 in October 2004 (MW test p < 0.0001), following the hydrological cycle (Fig. 2). The seasonal variations in CH4 were also very marked (MW test p < 0.0001), with much lower values in April 2004 (range 4–46 nmol L−1, average 19 nmol L−1) than in October 2004 (range 19–686 nmol L−1, average 210 nmol L−1). This is probably related to the seasonal salinity changes, the lowest CH4 values corresponding to the highest salinities (Fig. 11). We hypothesize that the increase in salinity leads to an increase in benthic sulfate reduction due to the increase in SO availability and a decrease in the transfer of CH4 from sediments to the water column due to a partial inhibition of methanogenesis and/or an enhancement of anaerobic CH4 oxidation. Such a hypothesis is consistent with the negative relationship in mangroves between sediment–air CH4 fluxes and salinity (Borges and Abril, 2011). The pCO2 was higher and %O2 was lower in October than April 2004, although the differences are not as dramatic as for CH4, albeit statistically significant (Fig. 11). This could indicate the occurrence during the rainy season (October) of the input of high-CO2 and low-O2 waters or additional organic matter (that fuelled remineralization) from freshwater (surface run-off). In October 2004, the CH4 concentrations in the Ca Mau mangroves were generally higher than in the Bn Tre Mekong delta three main channels; however, the highest CH4 concentrations were recorded in the side channels of the Bn Tre Mekong delta, most probably resulting from intense methanogenesis fuelled by high organic matter loads from the shrimp farming ponds.
3.4 CO2 and CH4 emissions to the atmosphere
As expected from the distribution of pCO2, the FCO2 values were higher in the inner estuarine branches (M Tho, Hàm Luông, C Chiên) than in the outer estuary (river plume) and the side channels (Table 1). In addition, wind speed was lower in the side channels and mangrove creeks than in the more open waters of the inner and outer estuaries. Although the pCO2 in the side channels was higher than in the adjacent inner estuarine branches at similar salinities (Fig. 6), the overall pCO2 within the inner estuarine branches was higher, owing to high values in the upper estuary. Despite some variations in wind speed among the cruises, the seasonal variations in FCO2 in the inner estuarine branches followed the seasonal hydrological cycle, with the highest FCO2 values in October 2004 during high water and the lowest FCO2 values in April 2004 during low water (Table 1). The FCO2 values in the inner estuarine branches were well correlated to freshwater discharge (Fig. 12). This indicates that the FCO2 seasonal variations are related to the riverine inputs either directly as CO2 or as organic matter that can be degraded within the estuary. During our cruises seasonal variations in water temperature were weak (range 26.7–31.5 ∘C, on average 29.2 ∘C), owing to the subtropical climate. Consequently, marked seasonality of pCO2 and FCO2 due to modulation of biological activity by water temperature does not occur, unlike in temperate estuaries (for example Frankignoulle et al., 1998). The potential contribution of riverine organic carbon and CO2 inputs in sustaining estuarine FCO2 was computed from freshwater discharge multiplied by POC and excess DIC (EDIC, computed as the difference between observed DIC and DIC computed from TA and the atmospheric pCO2 value; Abril et al., 2000). The average for the three cruises of riverine input of POC (60 × 106 mol d−1) and EDIC (53 × 106 mol d−1) exceeded FCO2 in the three estuarine branches (53 × 106 mol d−1), showing that these inputs were sufficient to sustain the CO2 emissions from the estuary and that part of the riverine POC and EDIC is transported to the outer estuary (river plume). FCO2 in the side channels and outer estuary (or river plume) also showed a less significant correlation with water discharge (Fig. 12) because processes other than riverine inputs such as the inputs of carbon from the shrimp farming ponds for side channels and primary production for the outer estuary control CO2 dynamics in these systems. A phytoplankton bloom in the river plume in October 2004 explains why FCO2 values were equivalent to those in December 2003, although freshwater discharge was about 2 times lower.
Differences of FCH4 between the two 2004 cruises were very marked, with values in inner estuarine branches more than 4 times higher in October than April 2004 (MW test p < 0.0001). In April 2004, the FCH4 values in the side channels of the Bn Tre Mekong delta were equivalent to those in the Ca Mau mangrove creeks but were more than 2 times higher in October 2004.
The average FCO2 in the inner estuarine branches of the Mekong delta (118 mmol m−2 d−1) is higher than in the Pearl River inner estuary (46 mmol m−2 d−1; Guo et al., 2009) and the Yangtze River inner estuary (41 mmol m−2 d−1, Zhai et al., 2007), the two other major river systems bordering the East China Sea that have been documented for CO2 dynamics. The higher value in the Mekong is probably related to the dominance of freshwater in the inner estuary and low intrusion of seawater within the estuary, related to the geomorphology (relatively narrow and linear estuarine channels, compared to the typical “funnel” shape estuarine morphology in the Yangtze and Pearl river estuaries). Indeed, the average salinity in the Pearl River inner estuary was 17 (Guo et al., 2009), higher than the average salinity of 4 in the Mekong inner estuarine branches during our cruises. The average FCO2 in the Ca Mau mangrove creeks (89 mmol m−2 d−1) was well within the range (−8–862 mmol m−2 d−1) and close to the average (63 mmol m−2 d−1) of CO2 fluxes in mangrove estuarine creeks compiled globally by Rosentreter et al. (2018).
The FCH4 seasonal variations within a given estuary and the FCH4 variations from one estuary to another are notoriously large; thus, comparison of the FCH4 in the Mekong delta with previously published studies is not easy. The average FCH4 value in the inner estuarine branches of the Mekong delta (118 µmol m−2 d−1) is within the range of values in European estuaries (17–1352 µmol m−2 d−1) compiled by Upstill-Goddard and Barnes (2016) but distinctly higher than the range of values for Indian estuaries (7–15 µmol m−2 d−1) reported by Rao and Sarma (2016). The FCH4 in the Yangtze and Pearl river estuaries reported by Zhang et al. (2008) and Zhou et al. (2009) of 61 and 64 µmol m−2 d−1, respectively, are also higher than the range of FCH4 in Indian estuaries. The FCH4 in the Mekong delta inner estuarine branches was higher than the value in the Yangtze River and Pearl River estuaries probably because of the lower intrusion of seawater into the Mekong delta (see above). The average FCH4 in the Ca Mau mangrove creeks (160 µmol m−2 d−1) was well within the range (9–409 µmol m−2 d−1) and close to the average (283 µmol m−2 d−1) of CH4 fluxes in mangrove estuarine creeks compiled globally by Call et al. (2015).
The full data set is available in tabular form in the Supplement (Table S1).
The supplement related to this article is available online at: https://doi.org/10.5194/bg-15-1093-2018-supplement.
AVB designed the experiment and carried out sample collection in the field. AVB, SB, and GA analysed the samples, interpreted the data, and drafted the paper.
The authors declare that they have no conflict of interest.
This article is part of the special issue “Human impacts on carbon fluxes in Asian river systems”. It is not associated with a conference.
We are extremely grateful to the Research Institute for Aquaculture No. 2 (Ho
Chi Minh City) and the Bn Tre Fishery Department for logistical
support during the collection of samples. Freshwater discharge data were
kindly provided by Nguyen Hong Quang from the Vietnam National Satellite
Center. This work was funded by the Fonds National de la Recherche
Scientifique (FNRS) (1.5.066.03); the publication charge was covered by the
Asia-Pacific Network for Global Change Research (CRRP2016-01MY-Park) support
to the special issue. We thank three reviewers for constructive comments on a
previous version of the paper. Alberto V. Borges is a senior research associate at the
Edited by: Ji-Hyung Park
Reviewed by: two anonymous referees
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