Abstract
The distribution and possible sources of particulate organic carbon (POC) and particulate nitrogen (PN) in seven mangroves ecosystems along the east and west coast of India were examined, to understand their contribution to coastal biogeochemistry. Suspended particulate matter (SPM) concentration in mangrove waters were about ~ 1.6-fold higher in west coast (Gulf of Kachchh (GOK), Mandovi-Zuari (MA-ZU) and Karwar-Kumta (KR-KU)], whereas the mean POC content in SPM along east coast [Sundarbans (SUN), Bhitarkanika (BHK), Coringa (COR) and Pichavaram-Muthupet (PI-MU)] was nearly two times higher than the west coast (1.97 ± 0.91% and 1.06 ± 0.29%), respectively. The results indicated that the influence of the land-based contaminants on the water quality parameters (dissolved oxygen, pH, salinity, nutrients and chlorophyll-a, etc.), which primarily regulated the distribution and transformation of organic carbon in these mangrove waters. Among the studied systems, an extremely high DOC/POC ratio (5.72 ± 1.64) with low pH and DO in COR waters clearly indicated the labile nature of the organic matter influenced by anthropogenic stress. Strong correlation between POC and PN indicated a similar origin in particulate organic matter. The ratios of POC/PN and POC/Chl-a showed significant spatial variation ranging from 5.5 to 18.7 and 126 to 1057, respectively. The results indicated that significant fraction of in-situ primary production contributed to particulate organic matter (POM) pool in all Indian mangrove waters except the GOK and the SUN waters, where sediment resuspension and mangrove derived organic matter were the dominant POM sources.
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Introduction
Coastal vegetation including mangroves, marshes and seagrasses are well known for their concurrent contribution to the regional nutrient cycle, water column productivity and to the global carbon sink (Macreadie et al. 2019). Among these, mangroves are one of the most productive ecosystems in the world with a mean global primary production of 218 ± 72 Tg C year−1 (Bouillon et al. 2008). In tropical and sub-tropical conditions, mangroves are very important links between land and ocean and contribute to a large quantity of sediments and particulate organic matter (POM) to the ocean. For instance, the worldwide extent of total mangrove surface area is only 0.5%, yet they account for 10–15% to coastal sediment organic carbon and export to 10–11% of particulate carbon to the oceans (Alongi 2014). POM contributes to organic carbon burial in marine sediments (Duarte et al. 2005), and it can act as a significant source of nutrients for the primary producers in the coastal waters (Patra et al. 2016). Mangrove detritus are often correlated with total litter production (Mfilinge et al. 2005) which partially gets trapped within the shallow inter-tidal creeks. The other fraction of mangrove litters (~ 51%) is exported during ebb tide to the adjacent coastal waters and can significantly modify the carbon and nitrogen budgets and associated trophic status of coastal ecosystems (Adame and Lovelock 2011; David et al. 2018). However, urbanization and excess import of anthropogenic pollutants with high lability could substantially increase the fraction of available food material to fuel microbial respiration (McCabe et al. 2021) and CO2 fluxes from coastal waters (Abril et al. 2002). Earlier studies revealed that globally 28 ± 21 Tg of particulate organic carbon (POC) and 1.5 Tg of particulate nitrogen (PN), derived from dead mangrove biomass materials (mangrove detritus) are transported per annum to the adjacent coastal waters (Alongi 2013, 2014). Understanding the spatial variations in POC, PON and their ratios, and the in-situ processes, those regulate their distributions, could explain the regional biogeochemical cycles of carbon and nitrogen in the coastal environment. The molar ratio of particulate organic carbon and particulate organic nitrogen ratio (POC/PN) has been used for the discrimination of POM sources in coastal ocean waters (Balakrishna and Probst 2005). Particulate organic carbon to chlorophyll-a ratio (POC/Chl-a) revealed that water column chlorophyll-a is the dominant source of organic matter in coastal ocean waters (Cifuentes et al. 1988).
Indian mangroves with total cover of 5403 km2 represent 3.3% of global mangroves and about 56% of global mangrove species (Ragavan et al. 2019). The east and west coast of India cover 56% and 32% of the total mangrove area of the country, whereas Island mangroves cover rest of the 12% (Purvaja et al. 2018). It is estimated that Indian mangroves transport about 0.58 Tg C as POC and 0.04 Tg N as PN per annum into the northern Indian Ocean (Ray et al. 2018).
A considerable number of studies on the carbon sequestration and storage by different mangrove ecosystems have been conducted along the Indian coast (Ray et al. 2018; Dutta et al. 2019). Higher seasonal fluxes of freshwater during the lean period from the submarine groundwater sources, causing relatively higher dissolved nutrient concentrations in the coastal waters, have already been reported (Rengarajan and Sarma 2015), from various mangrove ecosystems. However, no qualitative information on the elemental composition of SPM from Indian mangroves is available. Further, the number of studies on elemental stoichiometry in the suspended particles of inland waters including mangrove systems are scanty (Sterner 2011). Here, it is hypothesized that the changes in the C and N stoichiometry of suspended particles during the lean period are significantly influenced by the plant litter in Indian mangrove waters. This study aimed to characterize the SPM distributed along the salinity gradient of seven major Indian mangrove ecosystems, 4 along the east [Sundarbans (SUN) Bhitarkanika (BHK), Coringa (COR), Pichavaram-Muthupet (PI-MU)] and 3 along the west coast [Mandovi-Zuari (MA-ZU), Karwar-Kumta (KR-KU), Gulf of Kachchh (GOK)] of India during dry period. Further, the possible interactions of SPM with primary production in these coastal waters were also determined.
Material and methods
Study area
The Indian peninsula intersects the north Indian Ocean into the Bay of Bengal (east coast) and the Arabian Sea (west coast). The west coast has a steep continental shelf and lacks major deltas and rivers and is dominated by sandy and rocky substratum (Purvaja et al. 2018), whereas the shallower east coast is characterised by major deltas and large estuarine systems. Major mangrove ecosystems from four coastal states along east coast and three coastal states along west coast were identified to understand the particulate organic matter dynamics (Fig. 1). Along the east coast SUN, BHK and COR witness meso-macro to meso tidal environment with moderate to high anthropogenic stresses linked to aquaculture and agricultural waste products (Reddy et al. 2021), whereas, PI-MU (Tamil Nadu) mangroves are microtidal (~ 1 m mean tidal range) in nature and mostly influenced by allochthonous materials generated from multiple land-based sources (Gupta et al. 2008). The mangroves situated in the west coast (MA-ZU, Goa and KA-KU, Karnataka) are mostly river dominated micro-tidal estuarine systems characterised with rapid deposition of terrigenous material (Hegde and Akshaya 2015) and activities such as illegal sand mining, unplanned tourism and other industrial accomplishments (Reddy et al. 2021). Whereas, peculiarly bedrock valley of GOK, Gujarat, characterised with pronounced tidal influence (macro-tidal regime), predominantly drains the black soil to the adjacent coastal waters. The important environmental features of the studied mangrove ecosystems are presented in Table 1.
Sampling
Surface water samples were collected from seven major mangrove ecosystems of India, during the dry period (from December 2016 to March 2017) (Fig. 1). Based on the areal extent and accessibility, duplicate water samples along the salinity gradient were collected from the mangrove waters along the east [SUN, West Bengal (21 locations); BHK, Odisha (17 locations); COR, Andhra Pradesh (11 locations); PI-MU, Tamil Nadu (11 locations)], and west [MA-ZU, Goa (17 locations), KR-KU, Karnataka (14 locations); and selected locations of GOK, Gujarat (7 locations)] coast of India. Samples for DOC were collected in amber coloured glass bottles, whereas POC samples were collected in tarson bottles and preserved in dark at 4 °C. In-situ measurements of water quality (temperature, salinity, pH and chlorophyll-a (Chl-a) were carried out using a pre-calibrated water quality probe (HYDROLAB sonde).
Laboratory analysis
Filtered water samples were analysed for nutrients following the standard spectrophotometric procedures (Grasshoff et al. 1999). The analytical precision of nitrate + nitrite (NO3 + NO2), ammonium and phosphate were ± 0.02, ± 0.02 and ± 0.01 μM, respectively. SPM was measured as the weight of material retained on 0.2 µm polycarbonate filter (Millipore) after passing 250 ml of water followed by washing with double-distilled and oven drying for 24 h (60 °C). Concentrations of DOC were measured after the water samples were filtered through pre-combusted (at 450 °C) 0.7 µm GF/F filters, using TOC analyser (Elementar Vario TOC Cube) following high temperature catalytic oxidation method. Potassium hydrogen phthalate solution (4 mM, KHP; EMSURE, Sigma-Aldrich, Germany, purity ≥ 99.95%) in carbon-free Milli-Q water was used to prepare the calibration standards for DOC analysis (Intergovernmental Oceanographic Commission 1994). Reference seawater and total blanks associated with DOC analysis were checked regularly. Total blanks associated with DOC analyses was about 10 µM and the analytical precision on triplicate injections was usually 3%. About 250 ml of water samples was filtered through a pre-combusted (4 h at 450 °C) GF/F filter (nominal pore size: 0.7 µm) at low vacuum and dried at 60 °C for at least 24 h. Filters were acid fumigated for 12 h in a desiccator to remove any trace of the inorganic carbon. Content of POC and PN on the filters were measured using an elemental analyser (Flash EA Thermo). The analytical precision for the estimation of C and N content were ± 0.03% and ± 0.02% (relative standard deviation), respectively. Both POC and PON concentrations in suspended matter were expressed in mg L−1.
Statistical analysis
ANOVA was performed separately for the samples collected along the east and west coast, to analyse the spatial variations in dissolved nutrients, SPM, POC, PON and POC/PON among the selected mangrove waters. Tukey post hoc multiple comparison test was performed to identify the difference among sample groups. Stepwise multiple regression analysis with the backward elimination technique was applied to explain the variability and to identify the major predictors of DOC/POC ratios for each of the studied mangrove ecosystems along the Indian coast. ANOVA and stepwise multiple regression analysis were performed using the MiniTab 16 software, and all plots were created using Grapher (version 5.0), and Microsoft excel.
Results and discussion
Hydrological characteristics of the Indian mangroves
Indian mangrove systems displayed a wide range of hydrological conditions during the non-monsoon season. During the study, surface water temperature varied between 25.52 and 33.76 °C (mean, 30.04 ± 2.31 °C) (Table 2). In the entire study, salinity in the mangrove waters ranged from 9 to 41.0. The lowest mean salinity was recorded in Sundarban waters with a range of 10.78. The highest salinity range (33.07) from upstream to the downstream was recorded in the KR-KU waters. Consistently high salinity was recorded with very small spatial variation (range 1.43) in the GOK waters (Fig. 2a). The lower mean salinity in the mangrove waters of east coast could be attributed to the consistent lean discharge from the monsoonal rivers of east coast (including the eastern part of Indian Sundarbans), even in non-monsoonal periods (Rudra 2014).
The concentrations of the DIN ranged from 5.54 to 318 μM and the mean concentration (94.4 ± 82.5 μM) was higher than the concentrations reported earlier from the Indian mangroves (55.7 ± 107 μM; Rao et al. 2018). This concentration range of DIN was consistent with global range reported from mangrove waters (27.3–339.2 μM; Alongi 2013).
Significantly higher DIN concentrations from COR waters along the east coast and Mandovi-Zuari and GOK water along the west coast indicated a likely influence from various anthropogenic DIN sources to these mangrove waters. The range of DIP varied from 0.36 to 35.9 μM (3.4 ± 7.8) in Indian mangroves and was lower than previously reported values from Indian mangrove waters (8.57 ± 6.13 μM, Rao et al. 2018).
The mean N/P in these mangrove waters showed a very wide range from 7.2 (PI-MU) to 194.4 (COR). Similar to the earlier reports from Indian mangrove waters (Yuan et al. 2018; Maurya and Kumari 2021), limitation of bioavailable inorganic P (with respect to the Redfield ratio; N/P > 16) was evident in SUN, BHK, COR, KR KU and MA ZU waters. Rapid removal of inorganic P from the mangrove water column could be attributed to the absorption by fine-grained particles and subsequent flocculation in the coastal environment (Singh et al. 2015). However, higher enrichment of bioavailable P in PI-MU and GOK waters resulted in limitation of dissolved N (Redfield ratio < 16). Compared to other Indian mangrove waters, exceptionally higher concentrations (p < 0.001) of dissolved ammonium (NH4+) (203 ± 6.9 μM) and DIP (29.8 ± 5.5 μM) were recorded from GOK mangroves. In addition to the industrial influence and local characteristics of the parent rock, the higher concentrations of dissolved phosphates during non-monsoon season in GOK is largely attributed to transfer and diffusion of phosphorous from the sediment to surface water (Panseriyaa et al. 2021).
Suspended particulate matter (SPM) is a key component of coastal food web and a key variable of nutrient budgets (David et al. 2019). It varied from 44.4 to 290 mg L−1 (122 ± 55.5 mg L−1) in the Indian mangrove waters during the study period (Fig. 2a). These values were higher than those reported earlier from Indian mangroves (88.6 ± 12.4 mg L−1; Rao et al. 2018) and lower than Iranian mangroves (344 ± 180 mg L−1; Ray and Shahraki 2016). Mean SPM concentrations were about ~ 1.6-fold higher in west coast than east coast of India. Further, the SPM concentrations of GOK (162 ± 24 mg/L) were highest compared to other mangrove systems and were attributed to sediment resuspension caused by high tidal amplitude at GOK region. The phytoplankton biomass, in terms of Chl-a, varied between 1.1 and 28.0 mg m−3 in Indian mangroves and it was consistent with earlier reports (Dutta et al. 2015). The mean of Chl-a concentration did not show any significant variation between west coast (6.5 ± 2.1 mg m−3) and the east coast (6.1 ± 0.8 mg m−3) during study period (Fig. 2b). Dissolved oxygen saturation, often regulated by in situ metabolic activities, varied between 61.9 and 131%, with the mean saturation of 85.1 ± 12.5% (east coast) and 94.2 ± 16.7% (west coast) in the mangrove waters (Fig. 2b). Chl-a showed significant positive correlation with dissolved oxygen saturation along the salinity gradients of BHK (R2 = 0.46), KR-KU (R2 = 0.30) and MA-ZU (R2 = 0.39). However, in the rest of the systems, no clear relationship between Chl-a and DO saturation was recorded.
Coastal acidification and deoxygenation, inextricably associated through the process of heterotrophic respiration, could occur at extreme levels when the coastal zone receives a large quantity of natural/anthropogenic nutrient and organic matters (Gobler and Baumann 2016). Dissolved nutrients (dissolved inorganic nitrogen in particular) were reported considerably high in the COR waters in east coast of India and in mangrove waters of MA–ZU and GOK of west coast of India (Maurya and Kumari 2021). These results clearly indicated the influence of intense anthropogenic activities in these mangrove waters compared to the other mangroves. Low mean pH (pH < 7.7; except SUN waters) and persistence of DO under-saturation (except KA-KU waters) in most of these mangroves revealed the dominance of heterotrophic respiration and depletion of dissolved O2 in the water column. Among all the studied systems, moderate to strong negative correlations between DOC and DO saturation were recorded for COR (r2 = 0.33, p < 0.001) (Fig. 3a) and GOK (r2 = 0.61, p < 0.001) (Fig. 3b). These results further indicated the likely influence of labile contaminants in reducing DO saturation of mangrove waters. Intensification of land-based sources of contaminants and organic matter could further deteriorate the mangrove water quality and reduce the growth and survival of early-life stage aquatic organisms (Baumann et al. 2012) in this unique intertidal environment.
Variations in particulate organic carbon and nitrogen during dry period
The dynamics of POM are likely to influence the whole food web in the mangrove ecosystem (Bouillon et al. 2002). Concentrations of particulate organic carbon and nitrogen (POC, PN), suspended in the surface waters of the mangrove ecosystems along the Indian coast ranged from 0.74 to 3.55 mg L−1 (1.67 ± 0.55 mg L−1; Fig. 4a) and 0.04 to 0.42 mg L−1 (0.18 ± 0.08 mg L−1; Fig. 4b), respectively. These POC and PN concentrations were higher than the earlier reports from Indian mangrove waters (0.2 to 1.21 mg L−1, 0.02 to 0.21 mg L−1, respectively, Ray and Shahraki 2016; Ray et al. 2018) and Iriomote Island mangrove, Japan (0.76 ± 1.32 mg L−1 and 0.08 ± 0.12 mg L−1; Akhand et al. 2021). Relatively higher concentrations of mean POC were recorded in the east coast (1.74 ± 0.57 mg L−1) than the west coast (1.55 ± 0.49 mg L−1) mangroves (Table 2, Fig. 4a). The mean concentration of PN in the west coast mangrove waters (0.21 ± 0.08 mg L−1) was relatively higher than the east coast (0.17 ± 0.08 mg L−1). However, the spatial variations of both in POC and PN concentrations between the east and west coast mangrove waters were statistically insignificant (p > 0.05). The %OC and %ON [measured as % OC = (POC/SPM)*100 and % ON = (PN/SPM)*100] indicated the percentage of organic carbon and organic nitrogen present in suspended particulate matter (Sarma et al. 2014). %OC and %ON of the Indian mangrove waters varied from 0.57 to 5.26% (1.61 ± 0.86%; Fig. 4a) and 0.02 to 0.44% (0.17 ± 0.08%; Fig. 4b), respectively during the study period. The percent of POC in SPM of east coast (1.97 ± 0.91%) was almost twice the value of west coast (1.06 ± 0.29%) (p < 0.001). Among the studied mangrove ecosystems, the lowest POC content (1.25 ± 0.25%) in SPM was found in the MA-ZU mangrove waters along the west coast of India. This could be attributed to limited fresh water flow from the upstream and occurrence of lower amount of finer particles (clay and silt) in the mangrove sediments along this coast (Reddy et al. 2021). Further large variability of land use in the catchment areas (17 to 2207 km2, Table 1) and relatively limited cover of mangrove vegetation along SW coast could explain the low POC and PN content in SPM. Predicted intensification of precipitation, one of the major regulating factor of mangrove POC export (Adame and Lovelock 2011), of about 7% per 1 °C of warming from sub-daily up to seasonal time scales, could significantly (Arias et al. 2021) modify the existing carbon export and the net budget from these mangrove systems along the Indian coast.
Ratios of particulate and dissolved matter
Concentrations of dissolved organic carbon (DOC) in the studied mangrove waters ranged between 1.9 and 13.7 (4.59 ± 2.28) mg L−1 with the highest mean DOC concentrations observed in COR (9.75 ± 2.46 mg L−1, p < 0.001) waters, followed by GOK (4.80 ± 1.0 mg L−1). The mean DOC concentrations recorded from different systems in the present study were relatively higher than those reported from Indian Sundarbans (2.57–3.94 mg L−1; Ray et al. 2015) and were comparable with those reported from Sinnamary estuarine mangrove of French Guiana, South America (8.50 ± 1.01 mg L−1; Ray et al. 2020).
Organic carbon (OC) produced within mangrove ecosystems are subjected to seaward export during the ebb tide either in the form of dissolved organic carbon (DOC) or as particulate organic carbon (POC). The DOC/POC ratio in coastal waters often indicates the degree of partitioning of organic carbon between the dissolved and particulate fractions. The DOC/POC ratios for Indian mangrove waters ranged between 0.83 and 8.20 (3.05 ± 1.56) (Fig. 5a) and was higher than those values reported earlier from Sundarban mangrove waters (0.50 to 3.39; Dutta et al. 2019) during the non-monsoon season. Between DOC and POC, the later plays a bigger role in the export and gravitational settling of phytoplankton derived OC into deep sea and associated carbon cycle (Kharbush et al. 2020). A higher DOC/POC ratio in the coastal waters indicates the higher availability of labile organic carbon. Even though the DOC/POC ratios of most of the studies systems were found similar, exceptionally higher DOC in COR waters resulted five folds higher DOC/POC (5.72 ± 1.64) ratio than the mean ratio of 0.9 for the Asian rivers (Ludwig et al. 1996). These results suggested that a significant fraction of the POC gets modified through microbial activities to DOC (9.75 ± 2.46 mg L−1) (Table 2, Fig. 5a) in COR (Robin et al. 2016; Krishna et al. 2018). Additionally, the mangrove waters of COR showed low mean pH (6.998 ± 0.274) and DO saturation (55.3 ± 19.2%) (Table 2) and the suspended matter was characterised with the highest mean OC content (2.31 ± 0.38%). Enhanced transport of terrestrial inputs from agriculture and aquaculture sectors to the COR mangrove ecosystem (Reddy et al. 2021) has the potentials to stimulate the microbial degradation of DOC within the estuarine zone and decrease regional export of DOC to the ocean (Lønborg et al. 2020). Terrestrial DOC could also substantially dampen the primary production and result in high CO2 supersaturated waters in the nearshore areas by inducing rapid remineralization and strong light attenuation (Fransner et al. 2019). With the increase in basin population and alteration in reservoir water capacity, an exponential increase in total DOC fluxes and decreasing total POC fluxes to the marginal seas have been reported in the last few decades from the Chinese rivers (Liu et al. 2020). However, no such information on the temporal variability in DOC and POC transport to coastal waters has been reported from Indian water.
Sources of POC and PN along the Indian coast using POC/PN and POC/Chl-a ratios
Elemental ratios of C and N (or POC/PN) in suspended matter has been widely used in conjugation with other environmental proxies to trace the predominant source of organic matter in aquatic system (Tamooh et al. 2020). POC and PN were strongly correlated in all mangrove waters along the salinity gradient, indicating their identical origin (Supplementary Information; Fig S1) within the individual ecosystems, during non-monsoon period. The elemental POC/PN molar ratios in the SPM of the studied mangrove waters ranged between 4.6 and 28.2 (10.7 ± 5.5), which was similar to those reported from Sinnamary mangroves (2.8 to 28.5; Ray et al. 2018). The POC/PN ratio was highest at SUN (14.3 ± 5.4) followed by BHK (11.8 ± 2.83). The POC/PN ratios in the suspended particles of PI-MU, MA-ZU and GOK mangrove waters were close to the marine phytoplankton (6–9.; Redfield 1958), whereas higher values in the other studied systems indicated likely influences of mangrove litters. Further, the relationship between POC and Chl-a has been used to understand the role of phytoplankton in POM production (Hung et al. 2013; Liu et al. 2019) in these mangrove waters. The contribution of live biomass to the POC pool (represented as POC/Chl-a) varied between 42 and 1554 (mean 446 ± 42.5) in Indian mangrove waters. Among all the systems, an exceptionally higher mean POC/Chl-a ratio was recorded at SUN waters (1056 ± 344). On the contrary, lower mean POC/Chl-a values (< 200; Cifuentes et al. 1988) along the PI-MU mangroves could be attributed to moderately high contribution of Chl-a (9.87 ± 7.81 and 8.46 ± 4.95 mg m−3, respectively) in POC pool indicating the significance of live phytoplankton biomass in these regions. Significantly higher mean elemental POC/PN ratios in the suspended particles, recorded during the non-monsoon season, from SUN and BHK mangrove waters were consistent with those of the mangrove plant derived materials (POC/PN = 27.1 ± 10.4; Tue et al. 2012). These values were further supported by the high POC/Chl-a ratios. This study revealed the high potentials of suspended particles of these two mangrove systems, in coastal carbon burial and restricting mangrove derived refractory POC within a few kilometres offshore owing to local geomorphology (Alongi 2014). The POC/PN and POC/Chl-a ratios, particularly from PI-MU (5.52 ± 0.3 and 195 ± 41, respectively) and MA-ZU (6.73 ± 0.26 and 126 ± 12, respectively), indicate that marine plankton predominantly contributed to the POC pool of mangrove ecosystems (Savoye et al. 2003). On the contrary, the ratios of POC/Chl-a observed from GOK (308 ± 72) and KA-KU (454 ± 36) was significantly higher (Fig. 5b). High POC/Chl-a ratios indicated faster degradation of Chl-a than the whole POC pool by the heterotrophic bacteria (Cifuentes et al. 1988; Bueno et al. 2020). In addition to that, Fig. 6a, b, c indicate likely contribution from both phyto-detritus and sediment resuspension to the POM pool in macro-tidal GOK mangrove ecosystem. Overall, the relationship between POC/PN and POC/Chl-a ratios indicates that POM concentrations in SUN, BHK and KR-KU waters are strongly influenced by terrestrial inputs and mangrove litter (Fig. 7). Whereas, in COR waters, contributions from mixed sources (mangrove litter and other degraded aquatic particles) were dominant in the available POM. Along the west coast, the POM in the MA-ZU waters are characterised by phytoplankton, present in the water column.
Particularly, in GOK region, relatively higher SPM (162 ± 24 mg/L) and POC/Chl-a ratios were associated with low Chl-a (3.8 ± 0.6) compared to other mangrove waters. The positive relationship between POC and SPM concentrations (r2 = 0.72, p < 0.001, Fig. 6a) and POC and PN (r2 = 0.47, p < 0.001, Fig. 6b) indicating particulate pool of organic C and N are coupled by identical biogeochemical mechanism (Kaiser et al. 2014) in these mangrove waters. Further, high concentrations of dissolved NH4+ and DIP and the positive relationship between them (r2 = 0.64, p < 0.001, Fig. 6c) in these waters suggested that these nutrients may be originated from common sources and possibly influenced by nutrient adsorption–desorption by suspended particulate under high tidal influence (Clavero et al. 2000). Macro-tidal mangrove waters of this region (GOK) experiences periodic re-suspension of surface sediments (Table 1). Strong tidal circulation, shallow bathymetry and presence of fine-grained sediments control the extent of resuspension (Ramaswamy et al. 2007) and trapping of suspended matter and POC (both passive and active accumulation) within these mangrove forest and adjacent waterways (Alongi 2014).
Factors influencing transformation of POC
Between DOC and POC, the latter is considered as a key component of the biological pump and associated C cycle, due to its major transformation pathway by which OC produced from various autochthonous origins is exported from the surface waters to the marine sediments (primarily by gravitational settling) (Cavan et al. 2015). The relationship between DOC and POC is often being used as a potential indicator for the in-situ transformation of POM (Alvarez-Cobelas et al. 2012) along the salinity gradient of coastal waters. In mangrove waters, where POC can be generated from multiple origins including mangrove litter, activity of plankton, sediment resuspension and other allochthonous sources, the biogeochemical transformation pathway could be depended on the in-situ environmental factors. In the stepwise multiple regression analysis with backward elimination technique, the predictor variables used were temperature, salinity, pH, Chl-a, SPM, DO saturation and the results are given in Table 3.
The variability of DOC/POC ratio for Sundarban waters was explained (43.8%) by water temperature, salinity and SPM concentration. This result indicated the significance of mangrove litter contributing to the SPM, and its resistance to transformation into the more labile form. A total of 48.2% variability of the DOC/POC ratio in Bhitarkanika waters was explained by salinity and pH, which often determine the distribution of phytoplankton in the water column. In COR and PI-MU mangrove waters, variability of the DOC/POC ratio was primarily determined (69.6%) by water pH and dissolved oxygen in the water column. Along the West coast, the DOC/POC ratio showed a strong dependence on dissolved oxygen saturation, which was closely connected with anthropogenic stresses in the mangrove waters. Overall, the result indicated that higher production/lower consumption of DOC (Calleja et al. 2019) relative to available POC is favoured under the oxygen depleted conditions in these mangrove water columns. These results further support the earlier observations linked to the increase in POC lability and intensity of mineralization with pollution from nine contrasting European estuaries (Abril et al. 2002). Deoxygenation of mangrove waters by increase either in surface temperature or in land-based pollutants could therefore increase the DOC flux or decrease the POC fluxes to the coastal waters. These alterations in the carbon fluxes to the marginal seas can have substantial impacts (Liu et al. 2020) on the aquatic environment and ecology and regional climate.
Conclusions
Mangrove ecosystems along the Indian coast substantially contribute to the organic carbon pool across the intertidal landscape, and are regularly influenced by various anthropogenic activities. The present study on the distribution of particulate organic matter in the mangrove waters of India revealed that the relative concentrations of %OC and %ON present in SPM along the east coast were higher than those on the west coast of India. POC and PN were strongly correlated in all mangrove waters along the salinity gradient, indicating their identical origin (i.e., particulate organic matter) in the individual ecosystems, during the non-monsoon period. Preliminary results from the major mangrove ecosystems of India indicated that mangrove litter, marine phytoplankton and marine sediment likely form the dominant POC pool for these unique ecosystems. Isotopic signatures of carbon (δ13C) and nitrogen (δ15N) in mangrove POM are necessary to confirm their origins and transformation through biogeochemical processes.
Slow bacterial hydrolysis of structurally complex organic matter and prevailing reducing conditions influences the anaerobic decomposition rates and primarily determines the stability of particulate organic matter in the mangrove water columns (Kristensen et al. 1995). In particular, high DOC concentrations and DOC/POC ratios in the mangrove waters of COR indicated rapid transformation of organic carbon from particulate to more labile dissolved forms. Any alteration in local geomorphic settings in the coastal areas or changes in particle transport from the upstream areas may affect the production, storage and fluxes of carbon within the mangrove ecosystems and the subsequent export to the adjacent coastal waters. Further, ecological changes (crab burrowing activity, primary production litter fall etc.) caused by various environmental factors (temperature, rainfall, detrital outwelling, coastal currents etc.) are likely to have significant impacts on the transformation and export of to the adjacent coastal waters. Conservation and restoration of intertidal landscape, characterised by healthy mangrove vegetation, are therefore critical to sustain ecological balance in coastal environments. Detailed studies on the origin and fate of different forms of carbon together with quantification of anthropogenic inputs and tidal fluxes will help to elucidate their functional role in mangrove carbon cycle along the Indian coast.
Data availability
The datasets supporting the conclusions of this article are included in the article. Besides, the other datasets, i.e., mangrove system wise datasets, will be available on reasonable request.
References
Abril G, Nogueira M, Etchebera H, Cabecadas G, Lemaire E, Brogueira MJ (2002) Behaviour of organic carbon in nine contrasting European estuaries. Estuar Coast Shelf Sci 54:241–262. https://doi.org/10.1006/ecss.2001.0844
Adame MF, Lovelock CE (2011) Carbon and nutrient exchange of mangrove forests with the coastal ocean. Hydrobiologia 663:23–50. https://doi.org/10.1007/s10750-010-0554-7
Akhand A, Watanabe K, Chanda A, Tokoro T, Chakraborty K, Moki H, Tanaya T, Ghosh J, Kuwae T (2021) Lateral carbon fluxes and CO2 evasion from a subtropical mangrove-seagrass-coral continuum. Sci Total Environ 752:142–190. https://doi.org/10.1016/j.scitotenv.2020.142190
Alongi DM (2013) Cycling and global fluxes of nitrogen in mangroves. Glob Environ Res 17:173–182
Alongi DM (2014) Carbon cycling and storage in mangrove forests. Annu Rev Mar Sci 6:195–219
Alvarez-Cobelas M, Angeler DG, Sánchez-Carrillo S, Almendros G (2012) A worldwide view of organic carbon export from catchments. Biogeochemistry 107:275–293. https://doi.org/10.1007/s10533-010-9553-z
Arias PA, Bellouin N, Coppola E (2021) Technical Summary. In: Climate Change 2021: The physical science basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press. In Press
Balakrishna K, Probst JL (2005) Organic carbon transport and C/N ratio variations in a large tropical river: Godavari as a case study, India. Biogeochemistry 73:457–473
Baumann H, Talmage SC, Gobler CJ (2012) Reduced early life growth and survival in a fish in direct response to increased carbon dioxide. Nat Clim Change 2:38–41
Bouillon S, Raman AV, Dauby P, Dehairs F (2002) Carbon and nitrogen stable isotope ratios of subtidal benthic invertebrates in an estuarine mangrove ecosystem (Andhra Pradesh, India). Estuarine Coastal Shelf Sci 54:901–913
Bouillon S, Borges AV, Castañeda-Moya E, Diele K, Dittmar T, Duke NC, Rivera-Monroy VH (2008) Mangrove production and carbon sinks: a revision of global budget estimates. Global Biogeochem Cycles 22:GB2013. https://doi.org/10.1029/2007gb003052
Bueno Cd, Frascareli D, Gontijo ESJ, Geldern RV, Rosa AH, Friese K, Barth JAC (2020) Dominance of in situ produced particulate organic carbon in a subtropical reservoir inferred from carbon stable isotopes. Sci Rep 10:13–18. https://doi.org/10.1038/s41598-020-69912-0
Calleja ML, Al-Otaibi N, Morán XAG (2019) Dissolved organic carbon contribution to oxygen respiration in the central Red Sea. Sci Rep 9:4690. https://doi.org/10.1038/s41598-019-40753-w
Cavan EL, Le Moigne FAC, Poulton AJ, Tarling GA, Ward P, Daniels CJ, Fragoso GM, Sanders RJ (2015) Attenuation of particulate organic carbon flux in the Scotia Sea, Southern Ocean, is controlled by zooplankton fecal pellets. Geophys Res Lett 42:821–830. https://doi.org/10.1002/2014GL062744
Cifuentes LA, Sharp JH, Fogel ML (1988) Stable carbon and nitrogen isotope biogeochemistry in the Delaware Estuary. Limnol Oceanogr 33:1102–1115
Clavero V, Izquierdo JJ, Fernandez JA, Niell FX (2000) Seasonal fluxes of phosphate and ammonium across the sediment-water interface in a shallow small estuary (Palmones River, southern Spain). Mar Ecol Prog Ser 198:51–60
David F, Marchand C, Taillardat P, Thành-Nho N, Meziane T (2018) Nutritional composition of suspended particulate matter in a tropical mangrove creek during a tidal cycle (Can Gio, Vietnam). Estuar Coast Shelf Sci 200:126–130
David F, Marchand C, Thành-Nho N, TruongVan V, Taillardat P, Meziane T (2019) Trophic relationships and basal resource utilisation in the Can Gio Mangrove Biosphere Reserve (Southern Vietnam). J Sea Res 145:35–43
Duarte CM, Middelburg JJ, Caraco N (2005) Major role of marine vegetation on the oceanic carbon cycle. Biogeosciences 1:173–180
Dutta MK, Mukherkjee R, Jana TK, Mukhopadhyay SK (2015) Biogeochemical dynamics of exogenous methane in an estuary associated to a mangrove biosphere; the Sundarbans, NE Coast of India. Mar Chem 170:1–10. https://doi.org/10.1016/j.marchem.2014.12.006
Dutta MK, Kumar S, Mukherjee R, Sanyal P, Mukhopadhyay SK (2019) The post-monsoon carbon biogeochemistry of the Hooghly-Sundarbans estuarine system under different levels of anthropogenic impacts. Biogeosciences 16:289–307. https://doi.org/10.5194/bg-16-289-
Flemming BW (2000) A revised textural classification of gravel-free muddy sediments on the basis ternary diagrams. Cont Shelf Res 20:1125–1137. https://doi.org/10.1016/S0278-4343(00)00015-7
Fransner F, Fransson A, Humborg C, Gustafsson E, Tedesco L, Hordoir R, Nycander J (2019) Remineralization rate of terrestrial DOC as inferred from CO2 supersaturated coastal waters. Biogeosciences 16:863–879. https://doi.org/10.5194/bg-16-863-2019
Gobler CJ, Baumann H (2016) Hypoxia and acidification in ocean ecosystems: coupled dynamics and effects on marine life. Biol Lett 12(5):20150976. https://doi.org/10.1098/rsbl.2015.0976
Grasshoff K, Ehrhardt M, Kremling K (1999) Methods of seawater analysis, 3rd edn. VCH publishers, Wainheins, Germany
Gupta GVM, Sarma VVSS, Robin RS, Raman AV, Jai Kumar M, Rakesh M, Subramanian BR (2008) Influence of net ecosystem metabolism in transferring riverine organic carbon to atmospheric CO2 in a tropical coastal lagoon (Chilka Lake, India). Biogeochemistry 87:265–285
Hegde AV, Akshaya B (2015) Shoreline transformation study of Karnataka coast: geospatialapproach. Aquat Proc 4:151–156
Hung CC, Tseng CW, Gong GC, Chen KS, Chen MH, Hsu SC (2013) Fluxes of particulate organic carbon in the East China Sea in summer. Biogeosciences 10(10):6469–6484. https://doi.org/10.5194/bg-10-6469-2013
Intergovernmental Oceanographic Commission (1994) Protocols for the joint global ocean flux study (JGOFS) core measurements. Paris, France, UNESCO-IOC, 170pp. (Intergovernmental Oceanographic Commission Manuals and Guides: 29), (JGOFS Report; 19). https://doi.org/10.25607/OBP-1409
Kaiser C, Franklin O, Dieckmann U, Richter A (2014) Microbial community dynamics alleviate stoichiometric constraints during litter decay. Ecol Lett 17:680–690
Kharbush JJ, Close HG, Van Mooy BAS, Arnosti C, Smittenberg RH, Le Moigne FAC, Mollenhauer G, Scholz-Böttcher B, Obreht I, Koch BP, Becker KW, Iversen MH, Mohr W (2020) Particulate organic carbon deconstructed: molecular and chemical composition of particulate organic carbon in the ocean. Front Mar Sci 7:518. https://doi.org/10.3389/fmars.2020.00518
Krishna MS, Mukherjee J, Dalabehera HB, Sarma VVSS (2018) Particulate organic carbon composition in temperature fronts of the northerneatern Arabian Sea during witner. J Geophys Res Biogeosci 123.https://doi.org/10.1002/2018JG004387
Kristensen E, Ahmed SI, Devol AH (1995) Aerobic and anaerobic decomposition of organic matter in marine sediment: which is fastest? Limnol Oceanogr 40:1430–1437
Kumar S, Lal R (2011) Mapping the organic carbon stocks of surface soils using local spatial interpolator. J Environ Monit 13:3128–3135
Liu M, Han GL, Zhang Q (2019) Effects of soil aggregate stability on soil organic carbon and nitrogen under land use change in an erodible region in Southwest China. Int J Environ Res Public Health 16(20):3809
Liu D, Bai Y, He X, Chen CTA, Huang Ting-H, Pan Delu CX, Wang D, Zhang L (2020) Changes in riverine organic carbon input to the ocean from mainland China over the past 60 years. Environ Int 134:105258. ISSN 0160–4120
Lønborg C, Carreira C, Jickells T, Álvarez-Salgado XA (2020) Impacts of global change on ocean dissolved organic carbon (DOC) Cycling. Front Mar Sci 7:466. https://doi.org/10.3389/fmars.2020.00466
Ludwig W, Probst JL, Kempe S (1996) Predicting the oceanic input of organic carbon by continental erosion Glob. Biogeochem Cycle 10:23–41. https://doi.org/10.1029/95GB02925
Macreadie PI, Anton A, Raven JA et al (2019) The future of Blue Carbon science. Nat Commun 10:3998. https://doi.org/10.1038/s41467-019-11693-w
Maurya P, Kumari R (2021) Spatiotemporal variation of the nutrients and heavy metals in mangroves using multivariate statistical analysis, Gulf of Kachchh (India). Environ Res 195:110803. https://doi.org/10.1016/j.envres.2021.110803
McCabe KM, Smith EM, Lang SQ, Osburn CL, Benitez-Nelson CR (2021) Particulate and dissolved organic matter in stormwater runoff influences oxygen demand in urbanized headwater catchments. Environ Sci Technol 55(2):952–961. https://doi.org/10.1021/acs.est.0c04502
Mfilinge PL, Meziane T, Bachok Z, Tsuchiya M (2005) Litter dynamics and particulate organic matter outwelling from a subtropical mangrove in Okinawa Island, South Japan. Estuar Coast Shelf Sci 63:301–313
Panseriyaa HZ, Gosai HB, Vala AK, Gavali DJ, Dave BP (2021) Assessment of surface water of Gulf of Kachchh, west coast of India: a chemometric approach. Mar Pollut Bull 170(2021):112589
Patra S, Raman AV, Ganguly D, Robin RS, Muduli PR, Kanuri V, Abhilash KR, Charan Kumar B, Subramanian BR (2016) Influence of suspended particulate matter on nutrient biogeochemistry of a tropical shallow lagoon, Chilika, India. Limnology 17:223–238. https://doi.org/10.1007/s10201-015-0475-2
Purvaja R, Singh G, Geevarghese GAS, Ganguly D, Prasad MHK, Ayantika, Arumugam K, Ramesh R (2018) Carbon sequestration by coastal ecosystems of India. Ministry of Environment, Forest and Climate Change 325–342. ISBN 978–93–5346–195–9
Ragavan P, Sivakumar K, Jayaraj RS, Mohan PM, Rana TS (2019) Carbon storage potential of mangroves–are we missing the boat? Curr Sci 116(6):889
Ramaswamy V, NagenderNath B, Vethamony P, Illangovan D (2007) Source and dispersal of suspended sediment in the macro-tidal Gulf of Kachchh. Mar Pollut Bull 54(6):708–719
Rao K, Priya N, Ramanathan AL (2018) Impact of seasonality on the nutrient concentrations in Gautami-Godavari Estuarine Mangrove complex, Andhra Pradesh, India. Mar Pollut Bull 129:329–335
Ray R, Shahraki M (2016) Multiple sources driving the organic matter dynamics in two contrasting tropical mangroves. Sci Total Environ 57:218–227
Ray R, Rixen T, Baum A, Malik A, Gleixner G, Jana TK (2015) Distribution, sources and biogeochemistry of organic matter in a mangrove dominated estuarine system (Indian Sundarbans) during the pre-monsoon. Estuar Coast Shelf Sci 167:404–413. https://doi.org/10.1016/j.ecss.2015.10.017
Ray R, Baum A, Gleixner G, Rixen T, Jana TK (2018) Exportation of dissolved (inorganic and organic) and particulate carbon from mangroves and their implications to the carbon budget in the Indian Sundarbans. Sci Total Environ 621:535–547
Ray R, Thouzeau G, Walcker R, Vantrepotte V, Gleixner G, Morvan S, Devesa J, Michaud E (2020) Mangrove‐derived C exchanges with Atlantic Ocean. J Geophys Res: Biogeosci 125:e2020JG005739. https://doi.org/10.1029/2020JG005739
Reddy Y, Ganguly D, Singh G, Harikrishna Prasad M, Selvam PA, Banerjee K, Kathirvel A, Purvaja R, Ramesh R (2021) Assessment of bioavailable nitrogen and phosphorus content in the sediments of Indian mangroves. Environ Sci Pollut Res. https://doi.org/10.1007/s11356-021-13638-7
Redfield AC (1958) The biological control of chemical factors in the environment. Am Sc 46:205–221
Rengarajana R, Sarma VVSS (2015) Submarine groundwater dischargeand nutrient addition to the coastal zone of the Godavari estuary. Mar Chem 172:57–69. https://doi.org/10.1016/j.marchem.2015.03.008
Robin RS, Kanuri VV, Muduli PR, Ganguly D, Patra S, Hariharan G, Subramanian BR (2016) CO2 saturation and trophic shift induced by microbial metabolic processes in a river-dominated ocean margin (tropical shallow lagoon, Chilika, India). Geomicrobiol J 33(6):513–529
Rudra K (2014) Changing river courses in the western part of the ganga-Brahmaputra delta. Geomorphology 227:87–100
Sarma VVSS, Krishna MS, Prasad VR, Kumar BSK, Naidu SA, Rao GD, Viswanadham R, Sridevi T, Kumar PP, Reddy NPC (2014) Distribution and sources of particulate organic matter in the Indian monsoonal estuaries during monsoon. J Geophys Res: Biogeosci 119:2095–2111. https://doi.org/10.1002/2014JG002721
Savoye N, Aminot A, Treguer P, Fontugne M, Naulet N, Kérouel R (2003) Dynamics of particulate organic matter δ15N and δ13C during spring phytoplankton blooms in a macrotidal ecosystem (Bay of Seine, France). Mar Ecol Prog Ser 255:27–41. https://doi.org/10.3354/meps255027
Selvam V (2003) Environmental classification of mangrove wetlands of India. Curr Sci 84:757–765
Singh G, Chauhan R, Ranjan RK, Balakrishna Prasad M, Ramanathan AL (2015) Phosphorus dynamics in mangroves of India. Curr Sci 108(10):1874–1881
Sterner RW (2011) C: N: P stoichiometry in Lake Superior: freshwater sea as end member. Inland Waters 1(1):29–46. https://doi.org/10.5268/IW-1.1.365
Tamooh F, Van den Meersche K, Meysman F, Marwick TR, Borges AV, Merckx R, Dehairs F, Schmidt S, Nyunja J, Bouillon S (2020) Distribution and origin of suspended matter and organic carbon pools in the Tana River Basin, Kenya. Biogeosciences 9:2905–2920. https://doi.org/10.5194/bg-9-2905-2012
Tue NT, Quy TD, Hamaoka H, Nhuan MT, Omori K (2012) Sources and exchange of particulate organic matter in an estuarine mangrove ecosystem of Xuan Thuy National Park,Vietnam. Estuar Coasts 35(4):1060–1068
Yuan Y, Zhao Z, Li X, Wang Y, Bai Z (2018) Characteristics of labile organic carbon fractions in reclaimed mine soils: evidence from three reclaimed forests in the Pingshuo opencast coal mine, China. Sci Total Environ 613–614:1196–1206. https://doi.org/10.1016/j.scitotenv.2017.09.170
Acknowledgements
This study was undertaken as part of the in-house research study of NCSCM on BECOCE studies (IR12008). This study was supported by the Ministry of Environment, Forest and Climate Change, Government of India and the World Bank under the India ICZM project (Contribution number: 2020/ncscm/0030). The authors (except YR) acknowledge GCRF South Asian Nitrogen Hub (SANH) for sharing scientific knowledge on nutrient management.
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MHK Prasad executed the study and prepared the first draft of the manuscript. DG, PR, YR, PSA, GS, KB and RR led the sampling design. All authors contributed with data collection. MHK Prasad analysed the sediment samples, and YR, PSA, GS, KB, RRS analysed the water samples and interpreted the datasets. MHK Prasad, DG, GS and PSA contributed in the statistical analysis and reviewing the manuscript. PR and RR contributed with overall guidance and project administration. All authors read and approved the final manuscript.
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Mamidala, H.P., Ganguly, D., Ramachandran, P. et al. Distribution and dynamics of particulate organic matter in Indian mangroves during dry period. Environ Sci Pollut Res 29, 64150–64161 (2022). https://doi.org/10.1007/s11356-022-20322-x
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DOI: https://doi.org/10.1007/s11356-022-20322-x