ORIGINAL RESEARCH article

Front. Mar. Sci., 16 April 2025

Sec. Marine Biogeochemistry

Volume 12 - 2025 | https://doi.org/10.3389/fmars.2025.1535248

Spatial variability of sediment oxygen consumption and benthic nutrient fluxes in the continental shelf of the Southern Yellow Sea during spring

  • 1. Marine Environment Research Department, Korea Institute of Ocean Science and Technology, Busan, Republic of Korea

  • 2. Department of Convergence Study on the Ocean Science and Technology, Ocean Science and Technology School, Busan, Republic of Korea

  • 3. Department of Marine Science and Convergence Technology, Hanyang University, Ansan, Republic of Korea

  • 4. Department of Ecology and Conservation, National Marine Biodiversity Institute of Korea, Seocheon, Republic of Korea

Abstract

To understand the factors controlling organic carbon (OC) and nutrient cycling in continental shelf sediments, we estimated total sediment oxygen uptake (TOU) and benthic nutrient flux (BNF) in the Southern Yellow Sea (SYS) during spring. The OC (0.28 to 1.58%), TN (0.03 to 0.22%), C/N ratio (7 to 11), and δ13C (–23.81 to –22.23‰) in the surface sediments showed spatial variation. The TOU ranged from 11.9 ± 0.02 to 20.5 ± 0.03 mmol O2 m−2 d−1, depending on the spatial distribution of OC content, with higher values in finer sediments. Sediment OC oxidation rates varied between 9.1 and 15.8 mmol C m−2 d−1, accounting for 5−87% of primary production in surface waters. The BNFs were comparable with other continental shelves, with dissolved inorganic nitrogen and dissolved inorganic phosphate fluxes contributing 1 to 33% and 2 to 14%, respectively, of the nutrients required for primary production. The findings suggest that sediment OC quantity and quality, influenced by sediment type, are major factors controlling the spatial variation of benthic OC cycles in the SYS. However, the benthic-pelagic coupling in the SYS during spring was weak, primarily because of low sediment OC oxidation and BNF rates. This study highlights the need for further research on temporal variability to fully understand the biogeochemical cycles in the Yellow Sea.

Introduction

The Yellow Sea (YS), a semi-enclosed continental shelf sea in the northwestern Pacific Ocean, lies between the Korean Peninsula and China (). It receives significant inputs of terrestrial materials, including nutrients and organic matter, from multiple river systems such as the Yellow, Changjiang, Xinyi, Sheyan, Han, and Keum rivers (; ; ). These riverine inputs sustainably support primary production (PP) in the YS by supplying essential bio-limiting elements. organic matter (OM), from both external sources and internal production, are deposited in the sediment (; ; ; ).

Once deposited, particulate organic carbon (POC, referred to as OC) on the sediment surface undergoes rapid degradation, or is progressively buried into deeper sediment layers (). Within the sediment, this OC is remineralized through microbial respiration pathways, resulting in the release of dissolved inorganic nutrients and carbon across the sediment-water interface (SWI) (; ). Therefore, the estimation of OC remineralization in sediment is crucial for understanding benthic OC cycling and nutrient regeneration.

Oxygen (O2) is the most effective electron acceptor, as it has a higher energy yield than other acceptors such as NO3–, MnO2, FeOOH, and SO42– (). Moreover, O2 is involved in the reoxidation of reduced substances via anaerobic respiration pathways (; ). As a result, in sediments, the rate of total O2 uptake is commonly used as a proxy for OC oxidation rate (; ; ).

During the oxidation of OM in sediment, inorganic nutrients are either released or accumulated in the pore water. The nutrient concentration gradient, between the overlying water and the sediment pore water, drives nutrient transport across the SWI. This benthic nutrient flux (BNF) supplies nutrients for PP, contributing between 3% and 22% of the total nutrient supply in continental shelf areas through benthic-pelagic coupling (; ). Thus, sediment OC remineralization is a vital component of nutrient cycling in aquatic environments.

Previous studies have suggested that OM degradation in Southern Yellow Sea (SYS) sediments is influenced by the Yellow Sea Cold Water Mass (YSCWM) (; ; ). However, most research has focused on the Chinese side of the YS, within China’s exclusive economic zone (EEZ), with limited data available for Korean territorial waters. This study aims to estimate total sediment O2 uptake (TOU), diffusive O2 uptake (DOU), and BNFs in the SYS. Our findings will contribute to (1) understanding spatial variations in TOU and BNF, (2) identification of the controlling factors for sediment OC oxidation rates and BNFs, and (3) quantification of the contribution of sediment OC oxidation and BNF to PP in the water column through benthic-pelagic coupling on the YS shelf during the spring season.

Materials and methods

Study area

The YS is geographically separated into the Northern Yellow Sea and the SYS by a line joining the Shandong peninsula with Baengnyeong Island in South Korea () (Figure 1). The SYS shelf covers an area of 300 × 103 km2 with an average water depth of 44 m (). Water circulation in the SYS consists of the Yellow Sea Warm Current (YSWC), the Korea Coastal Current (KCC), and the China Coastal Current (CCC) (Figure 1). The northward-flowing YSWC, a branch of the Kuroshio Current (KC) characterized by warm and saline water, feeds into the YS (Figure 1). The YSCWM forms in the bottom waters of the central SYS from late spring to autumn as a consequence of cooling of the YSWC during winter (). South-flowing currents include the CCC along the Chinese coast and the KCC along the Korean coast (Figure 1).

Figure 1

. The black arrows show the direction of major currents, including the Kuroshio Current (KC), Yellow Sea Warm Current (YSWC), China Coastal Current (CCC), and Korea Coastal Current (KCC). Surface sediment types in the Yellow Sea are shown, with modifications based on .

The sediment types in the SYS are influenced by a combination of hydrodynamic features and the locations of river inputs. Muddy sediments have developed in the central SYS and the western part of the Northern Yellow Sea (). Cyclonic eddies and YSCWM have contributed to the formation of mud areas in the central SYS (i.e., at sample sites N3513, N3517, N3609, and N3613); the sources of these sediments have been traced back to the Yellow River and old Yellow River () (Figure 1). A mud patch in the Eastern YS (northwest of Jeju Island; N3503) has been attributed to deposition of fine-grained materials from the Kuem River, facilitated by anticyclonic eddies (; ) (Figure 1). In the Southern Yellow Sea Mud Area (SYSMA), silt and clay together constitute more than 80% of the total sediment (). In contrast, high-energy sedimentary environments in the SYS, driven by coastal and tidal currents, exhibit continuous erosion and transportation of fine sediment (). Consequently, the outer regions of the SYSMA (N3509, N3707, N3711) are characterized by a higher proportion of sand-size sediment than of fine sediment (Figure 1).

Sample collection

An SYS sampling survey was conducted aboard R/V Isabu from April 11 to 14, 2022 (Figure 1). The vertical distribution of water temperature, salinity, and dissolved O2 were measured with a CTD system (Seabird, SBE911plus). Undisturbed sediment samples were collected using intact acrylic cores (length = 25 cm, inner diameter = 6.5 cm) for analysis geochemistry, and incubation cores (length = 14 cm, inner diameter = 10 cm) for TOU measurement. The sediment was subsampled using a box corer (0.25 m2).

Onboard experiment

The total sediment O2 uptake rate was measured using ex situ incubation (). The incubation chamber core was carefully inserted into the sediment without disturbing the surface. The sediment core was immediately closed with a gas-tight lid, leaving an internal water height of ~7 cm. The chamber core was submerged in a circulated water bath (EYELA, NTT-2100, Tokyo, Japan), with a constant in situ bottom water temperature, using an immersion cooler (EYELA, ECS-0, Tokyo, Japan), for a limited time (< 2 h). The O2 concentration in the chamber was measured at 10-s intervals with an inline O2 optode (Pyroscience GmbH, OXFTC2, Aachen, Germany). The optode sensors were calibrated using two-point calibration (i.e., zero concentration and air saturation of in situ bottom water). After the TOU measurement, the vertical O2 profile across the SWI was measured using an O2 microsensor (). The O2 microsensor (Unisense, OX-25, Aarhus, Denmark) (tip diameter ~ 25 μm and low stirring sensitivity <1%) provided readings at 100 μm vertical intervals, with stirring of the overlying water. The output current of the microsensor was amplified by a picoammeter (Unisense, PA-3000, Aarhus, Denmark) and stored on a laptop computer via an analog-to-digital converter. Two-point calibration of the O2 microsensor was performed between 100% air saturation and zero concentration in situ bottom water, respectively. Water samples for BNFs estimation were collected at the start and end times of the TOU measurements. The collected BNFs samples were immediately filtered (0.45 μm, ADVENTEC, Tokyo, Japan) and stored in a deep freezer (< −60°C).

Laboratory analysis

To determine grain size, the sediment samples from 0–2 cm depth were oxidized and disassembled with 10% H2O2 and 0.1 N HCl. The gravel, sand, and silt in the sample were separated using the wet sieving method, and the weights of the fractions were measured. The fine fraction of the samples (< 62.5 μm) was determined using a Mastersizer 2000 laser diffraction analyzer (Malvern Instruments Ltd, Malvern, UK). The OC and TN content of the surface sediments were determined using a CHN analyzer (CE instrument, EA 1110, Milan, Italy) after removing CaCO3 with 10% HCl. The δ13C in the surface sediment was measured using an isotope ratio mass spectrometer (Isoprime, GV Instruments, Manchester, UK) interfaced with an elemental analyzer. The analytical precision for δ13C was ± 0.09‰, estimated by IAEA standards (CH-3 for carbon). The chlorophyll-a (Chl-a) in the surface sediment (0–2 cm) was extracted using 90% acetone for 24 hours and measured using a spectrophotometer (Optizen POP, KLAB, Seoul, Korea) (). The water samples in the incubation core for the sum of nitrate (NO2– + NO3–), NH4+, PO43–, and Si(OH)4 were analyzed using a nutrient autoanalyzer (QUAATRO, Seal Analytical, Wrexham, UK). Certified reference material (Lot. CP; Kanso Technos Co., Ltd, Osaka, Japan) was included in each batch of nutrient samples and was used to ensure the accuracy of the samples. Reproducibility was generally within ± 5%.

Calculation

The TOU and nutrient flux, via the SWI, were estimated from a least squares linear regression using the concentration gradients, with incubation time and height of the benthic chamber as follows:

where F is the TOU or the BNF (mmol m–2 d–1), dC/dt is the slope of the linear regression of time and O2 concentration, or the slope between the initial and final nutrient concentrations, V is the chamber volume (m3), and A is the chamber area (m2).

Based on the O2 vertical profiles, the upper diffusive boundary layer and the surface sediment position were determined and used to estimate the DOU (). DOU was calculated from the linear O2 slope (decreasing) relative to the upper diffusive boundary layer ():

where DOU is the diffusive O2 flux (mmol m−2 d−1), D0 is the O2 molecular diffusion coefficient in seawater at a given salinity and temperature (Ramsing and Gundersen, from the table for seawater and gases, Unisense A/S) (cm−2 s−1), and dC/dZ is the linear O2 slope in the diffusive boundary layer (mmol cm−4).

Results

Oceanographic features

The sampling sites had water depths ranging from 30 to 85 m, with N3503 being the shallowest (Figure 2; Table 1). Apart from site N3517, salinity remained consistent with depth, and surface water temperatures were generally higher than bottom temperatures (Figure 2). The site nearest to the old Yellow River, N3517, has the lowest surface layer salinity among the sites (Table 1). The surface salinities and water temperatures at N3503 and N3707, which are near the Han River and Yeongsan River, were relatively lower than at other stations, likely as a result of terrestrial water inflow (Figure 2; Table 1). Overall, salinities and temperatures in both the surface and bottom waters increased from the Korean coastal waters toward the SYS, indicating freshwater discharge from rivers (Figure 2; Table 1). Dissolved O2 concentrations ranged from 241 to 317 μmol L–1, with surface waters having higher O2 concentrations than bottom waters (Table 1). Dissimilar to the patterns observed for salinity and temperature, O2 concentrations decreased from east to west (Table 1).

Figure 2

Table 1

StationLongitudeLatitudeDepthSalinity (surface/bottom)Temperature (surface/bottom)Dissolved O2 (surface/bottom)
(°N)(°E)(m)(°C)(µmol L–1)
N351735.00122.496531.5/32.89.3/9.8286/241
N351335.00123.507733.0/32.911.2/9.8278/251
N350935.00124.508532.6/32.711.1/9.5304/257
N350335.00125.683031.9/31.910.0/7.8309/274
N361336.00123.507732.6/32.810.7/9.5275/245
N360936.00124.508432.2/32.510.2/8.6309/250
N371137.00123.997632.4/32.510.1/8.5309/265
N370737.00124.996131.9/31.98.7/6.7317/286

Sampling site locations, water depth, salinity, temperature, and dissolved oxygen (O2) concentrations in the water column.

Grain size, organic carbon, and nitrogen content in the surface sediment

The grain sizes in the surface sediments varied from clay to gravel. Gravel content was 3% and was only found at site N3707 (Table 2). The sand content ranged from 2 to 86%, with the highest fraction observed at N3707 (Table 2). The silt content ranged from 8 to 76%, and the clay content ranged from 3 to 40%; N3503 had the highest silt content and N3613 had the highest clay content (Table 2). The median grain size ranged from 2.5 to 7.8 Ø, with finer-grained sediment at N3613 and coarser-grained sediment at N3707 (Table 2).

Table 2

StationGranulometric compositionMedian grain sizeOCTNC/NChl-aδ13C
GravelSandSiltClay
(%)(Ø)(%)(mol/mol)(mg m–2)(‰)
N35170267317.41.180.169123–22.67
N35130968236.91.080.15855–22.73
N350904837155.00.790.12886–22.76
N35030476206.40.930.167104–22.23
N36130060407.81.550.228108–22.35
N360901567186.41.580.21963–22.93
N37110732073.80.620.08930–22.96
N3707386832.50.280.031166–23.81

The granulometric composition (gravel, sand, silt, and clay contents), median grain size, organic carbon (OC), total nitrogen (TN), carbon to nitrogen (C/N) ratio, chlorophyll-a (Chl-a) inventory, and δ13C in surface sediment (0–2 cm).

The OC and TN contents in the surface sediment (0–2 cm) ranged from 0.28 to 1.58% and from 0.03 to 0.22%, respectively. The highest values were in the fine sediment at N3613 and the lowest in coarse sediment at N3707 (Table 2). The carbon to nitrogen (C/N) molar ratios in the surface sediments ranged from 7 to 11, with the highest at N3707 (Table 2). The Chl-a inventory in the surface sediment showed values from 30 to 123 mg m–2, with the highest at N3517 and the lowest at N3711 (Table 2). The stable isotope δ13C values were all between –23.81 and –22.23‰, showing insignificant spatial variation (Table 2).

TOU, DOU, and BNF

The O2 concentration in the incubation chamber gradually decreased over time (Figure 3). The TOU ranged from 11.9 ± 0.02 to 20.5 ± 0.03 mmol m–2 d–1, with N3613 exhibiting approximately 2 times higher TOU than N3707 (Table 3). Vertical profiles of O2 (n = 3) in the pore water are shown in Figure 4. Unfortunately, we could not measure the vertical O2 distribution at N3711 because the microsensor failed after collisions with coarse particles or shell debris. The O2 penetration depth (OPD) varied from 0.27 ± 0.02 cm at N3613 to 0.93 ± 0.11 cm at N3509 (Table 3). The DOU ranged from 9.7 ± 2.47 to 19.4 ± 2.15 mmol m–2 d–1, with the highest value at N3613 and the lowest at N3509 (Table 3).

Figure 3

Table 3

StationTOUDOUOPDBNF
NO2– + NO3–NH4+PO43–Si(OH)4
(mmol m–2 d–1)(cm)(mmol m–2 d–1)
N351714.3 ± 0.0211.1 ± 1.800.55 ± 0.02–0.56–0.08–0.010.89
N351315.2 ± 0.0111.9 ± 3.290.63 ± 0.060.820.170.072.69
N350912.7 ± 0.019.7 ± 2.470.93 ± 0.110.11–0.030.011.37
N350313.4 ± 0.0112.6 ± 1.060.75 ± 0.060.62–0.04–0.010.33
N361320.5 ± 0.0319.4 ± 2.150.27 ± 0.020.060.680.056.32
N360914.9 ± 0.0111.1 ± 1.340.75 ± 0.07–0.28–0.04–0.021.29
N371112.7 ± 0.02n.d.n.d.0.870.80n.d.0.54
N370711.9 ± 0.0211.7 ± 0.740.36 ± 0.08–0.20–0.12–0.050.26

Total sediment oxygen uptake (TOU), diffusive oxygen uptake (DOU), oxygen penetration depth (OPD), and benthic nutrient flux (BNF).

n.d., not detected.

Figure 4

The BNF results are also in Table 3. During the incubation, only silicate was released from the sediment (Figure 5). The BNFs ranged from –0.56 to 0.87 mmol m–2 d–1 for nitrate, –0.12 to 0.68 mmol m–2 d–1 for NH4+, –0.05 to 0.07 mmol m–2 d–1 for PO43–, and 0.26 to 6.32 mmol m–2 d–1 for Si(OH)4 (Table 3).

Figure 5

Discussion

Several control factors for sedimentary OC oxidation have been suggested as underpinning the biogeochemical cycles of OC in the continental shelf (; ). Generally, the PP in the water column, sedimentary OC content and quality, sediment type, water depth, benthic fauna biomass, and bottom water O2 and temperature are the key factors influencing OC oxidation in the sediment. However, many of those factors in continental shelf sediment can differ spatiotemporally according to regional characteristics (; ; ; ). In particular, the SYS features a variety of sediment types as a result of complex water mixing and the presence of sandy sediments from ancient river deltas that existed when sea levels were lower (; ; ). Thus, sediment types can be key factors controlling sedimentary OC cycling in the SYS.

OC oxidation in SYS sediment

TOU values were significantly correlated with the surface sediment’s median grain size (r = 0.73, p < 0.05) and OC contents (r = 0.78, p < 0.05) (Figure 6). Our findings indicate that OC content may act as a control factor, in combination with grain size, for benthic OC oxidation in the YS, which is consistent with previous studies (; ). In the SYS, sediment grain size can vary depending on local hydrodynamic characteristics (). suggested that the weak current energy and cyclonic cold eddies in the central SYS contribute to the formation of the SYSMA. In contrast, the muddy patch in the Eastern part of the SYS is formed by gradual deposition of suspended particles driven by anticyclonic circulation (). Given that OC is preferentially adsorbed onto clay surfaces, the OC content in YS sediment could be influenced by the presence of fine sediments (; ; ). Consequently, the highest TOU was observed in fine sediment with high OC content (N3613), while coarse sediment exhibited the lowest TOU and OC content (N3707). Therefore, spatial variations in sediment OC oxidation in the SYS may be attributed to the distribution of OC across sediment types.

Figure 6

Although TOU, in this study, varied with grain size and OC content, the spatial differences in the SYS were not significant (Tables 2, 3). The TOU values in SYS are comparable to those measured in temperate shelf areas with similar water depth but lower than those in temperate shelf areas with higher OC contents (1.45–3.45%). Conversely, TOUs in this study were relatively higher than those in polar regions with refractory OC composition (C/N: 7.1–17.3) and lower temperatures (–1.7 to 4.0°C) (Table 4). The sedimentary OC oxidation was estimated using the Redfield ratio of 138O2:106C, and the total sediment OC oxidation rate (TCox) ranged from 9.1 to 15.8 mmol C m–2 d–1, which is higher than the values reported in previous studies in the YS, which ranged from 1.7 to 8.8 mmol C m–2 d–1 (; ).

Table 4

RegionDepth (m)TOU (mmol O2 m−2 d−1)BNF (mmol m−2 d−1)Reference
NO2– + NO3–NH4+PO43−Si(OH)4
Southern Yellow Sea30 − 8511.9 − 20.5−0.56 − 0.87−0.12 − 0.80−0.05 − 0.050.26 − 6.32This study
Yellow Sea57 − 811.7 − 8.8n.d.n.d.n.d.n.d.(1)
East China Sea40 − 965.8 − 16.40.12 − 0.160.07 − 0.57−0.03 − 0.020.30 − 1.61(2)
Southern Oregon and Northern California90 − 1902.3 − 9.9−2.20 − −0.60a0 − 1.900.02 − 0.205.80 − 15.00(3)
Gulf of Finland, Baltic Sea36 − 767.3 − 17.7n.d.0.50 − 6.70n.d.1.70 − 11.00(4)
Eastern Massachusetts33 − 746.2 − 30.1−0.20 − 0.67a−0.03 − 4.04−0.03 − 0.491.80 − 14.10(5)
Eastern North Pacific42 − 982.2 − 19.2−1.80 − −1.300 − 0.970 − 0.103.40 − 11.80(6)
Eastern Canada30 − 1553.7 − 32.6n.d.n.d.n.d.n.d.(7)
Northeastern New Zealand25 − 826.9 − 13.0n.d.n.d.n.d.n.d.(8)
Southern North Sea25 − 818.0 − 13.0n.d.n.d.n.d.n.d.(9)
Northwestern Mediterranean24 − 897.0 − 15.6n.d.n.d.n.d.n.d.(10)
Bering Sea35 − 843.2 − 10.50.01 − 0.94−0.15 − 0.48n.d.0.66 − 4.56(11)
Arctic Sea36 − 1003.4 − 8.30.01 − 0.24n.d.n.d.n.d.(12)
Gulf of Mexico19 − 3425.7 − 59.6n.d.n.d.n.d.n.d.(13)

Total sediment oxygen uptake (TOU) and benthic nutrient flux (BNF) measured in various continental shelves.

(1) , (2) , (3) , (4) , (5) , (6) , (7) , (8) , (9) , (10) , (11) , (12) , (13) .

a

NO3–, n.d., not detected.

In this study, PP in the euphotic zone of the SYS ranged from 11.8 to 199.3 mmol C m–2 d–1 (Noh et al., 2024, unpublished). Assuming that all pelagic PP was remineralized through sediment OC oxidation, the TCox accounts for from 5 to 87% of PP in the water column in the SYS (Table 5). Except for N3503, TCox/PP ranged from 5 to 26%, which is comparable with values reported for the YS (8%; ) and East China Sea (17%; ). In contrast, the higher TCox/PP at N3503 (87%) may be due to the low PP, likely caused by high turbidity (). Indeed, at N3503, Brightness Transmission (64.5–64.8%) and the Beam Attenuation Coefficient (1.73–1.75m–1) in the surface water (0–5 m) were 1.3 times lower and 2.6 times higher, respectively, compared to the average values of the other stations (84.6% and 0.67 m–1).

Table 5

StationPPaTCoxbTCox/PPNutrient demand for PPcContribution of BNFs to PP
DINDIPDINDIP
(mmol C m–2 d–1)(%)(mmol m–2 d–1)(%)
N351793.711.01214.140.88n.d.n.d.
N351351.611.7237.790.491314
N350957.39.8178.650.5412
N350311.810.3871.780.1133n.d.
N361361.215.8269.240.5889
N360992.211.41213.920.87n.d.n.d.
N371159.19.8178.920.5619n.d.
N37071999.1530.041.88n.d.n.d.

Total sediment organic carbon oxidation (TCox), TCox/primary production (PP), nutrient demand for PP, and contribution of benthic nutrient fluxes (BNFs) to the requirement for PP.

aData from Noh et al., 2024, unpublished, bRedfield ratio was used to convert carbon:C:O2 = 106:138, cCalculated from the PP data using Redfield ratio of C:N:P = 106:16:1. n.d., not detected.

Spatial variability of OC oxidation

The δ13C and C/N ratios in sediments are commonly used as proxies for determining the origin and/or quality of OC (Figures 1, 7; Table 4). For example, marine origin OC shows a higher δ13C ratio (–21 to –19‰) and lower C/N ratio (~ 7) than terrestrial OC (δ13C: –26 to –24‰; C/N: > 10). Any mixture of marine and terrestrial-derived OC can have values between these two endmembers (; ). Furthermore, the normalized TOU relative to the C/N ratio can be used to distinguish the remineralization states of OC. Higher values may indicate oxidation of fresh OC, whereas lower values may suggest the oxidation of refractory OC (Figure 7).

Figure 7

, and .

Previous studies have suggested that the properties of OC in the surface sediment of the SYS are influenced by contributions from both marine and terrestrial sources (; ; ). The lowest value of TOU/(C/N) was observed at station N3707, which had a relatively high contribution of terrestrial OC. In contrast, other stations, with C/N ratios from 7 to 8 and δ13C values ranging from –22.96 to –22.23‰, indicated a greater fraction of marine OC, resulting in higher TOU/(C/N) ratios, approximately twice those at N3707 ().

Terrestrial OC undergoes pre-aging before reaching an aquatic system, making it more refractory than marine OC (; ). reported that terrestrial OC is more likely to be preferentially buried, while marine OC tends to be remineralized in marine sediment. Indeed, there is a distinct difference between the burial efficiencies of terrestrial OC (68%) and marine OC (7%) in YS sediments (). Consequently, increased terrestrial OC in sediments can reduce the efficiency of OC oxidation. These factors, which influence the fate of sediment OC, are based on its quality and are particularly significant in the SYS, where the complex distribution of OC is influenced by interactions between various OC sources and hydrodynamic characteristics.

BNF and benthic–pelagic coupling

The nutrients accumulated in pore water through benthic OC remineralization are exchanged across the SWI, potentially serving as a nutrient source for primary producers in the water column (; ; ; ; ). Therefore, estimating nutrient flux is essential for evaluating benthic-pelagic coupling. The BNFs measured in this study were within the ranges reported in most of the related literature (Table 4). The fluxes of nitrate, NH4+, and PO43– showed transport in either direction across the SWI, at different stations, indicating that these nutrients were either released from the sediment or absorbed into it.

During sediment OC oxidation, dissimilatory nitrate reduction to ammonia can increase NH4+ while decreasing nitrate (; ). However, our results did not show simultaneous efflux of NH4+ and nitrate influx (Figure 5). Additionally, NH4+ and nitrate fluxes were not correlated with TOU (Spearman, r = 0.35, p = 0.40), and the average OPD was 0.61 ± 0.21 cm (Table 3). These findings indicate that during spring the SYS sediment was oxic, favoring nitrification (). demonstrated that in highly permeable, coarse-grained sediment, greater oxygen penetration depth promotes ammonium nitrification, leading to relatively lower ammonium release compared to fine-grained sediments. Under oxic conditions, nitrification can decrease NH4+ and increase nitrate in the upper sediment layer, promoting NH4+ influx and nitrate efflux (; ; ; ). suggested that a combination of nitrification and denitrification processes may control the NH4+ and nitrate fluxes in the SYS. Therefore, the relative contributions of nitrification and denitrification processes, for OC oxidation, may affect NH4+ and nitrate fluxes at the SWI.

The benthic PO43– flux was not correlated with TOU (Spearman, r = 0.53, p = 0.18). Therefore, the low efflux and uptake of PO43– might be attributed to removal processes exceeding regeneration of inorganic nutrients via benthic OC oxidation. The decrease in PO43– flux is likely a consequence of adsorption onto Fe-oxides in the oxidative environment of the samples (; ). reported that the release of PO43– from iron-bound inorganic P (Fe-P) results from the biotic and/or abiotic reduction of Fe(III) under anaerobic conditions. In addition, reported that low porosity can reduce the thickness of the oxic layer in sediment, which can enhance the solubilization of Fe(III)-bound phosphorus, thereby increasing phosphorus flux across the sediment-water interface. Unlike dissolved inorganic nitrogen (DIN) and phosphate (DIP), Si(OH)4 was released from sediment at all stations (Table 3). Previous studies have shown that silicate efflux is related to the biogenic silica concentration in the sediment and benthic remineralization (; ; ; ). Although dissolved inorganic silicate (DSi) flux was not correlated with Chl-a (Spearman, r = 0.10, p = 0.82), it was significantly correlated with TOU (Spearman, r = 0.78, p < 0.05). These results imply that SYS sediments could potentially serve as major sources of Si(OH)4 with sediment OC degradation ().

Using the Redfield ratio (C:N:P = 106:16:1, ; ), we estimated the contribution of BNF to the nutrient requirements for PP in the water column. The levels of DIN and DIP were, respectively, 1–33% and 2–14% of the nutrients required for PP (Table 5). These findings suggest that the significance of BNF in supplying N and P from sedimentary OC remineralization in the SYS during spring, may vary among the sediment types. In addition, the BNFs in this study were comparable with, or less than, those in other shelf seas with similar water depths (Table 4). Moreover, the benthic-pelagic coupling in the SYS during spring appears to be less significant than in other shelf areas (; ; ).

Conclusion

The TOU measured in the SYS during spring suggests that variations of OC content across sediment types play a crucial role in controlling sediment OC oxidation. Regardless of OC content and median grain size, the influences of variations in OC quality, as indicated by the C/N ratio and δ13C, on TOU exhibited distinct differences. The contribution of terrestrial and marine sources to sediment OC composition may control the efficiency of sediment OC oxidation. Thus, both the quantity and quality of sediment OC are key factors in determining the spatial characteristics of the benthic OC cycle in the SYS. With the exception of DSi flux, BNFs exhibited a weak correlation with sediment OC oxidation. Additionally, the nutrient efflux observed in this study was comparable with or lower than that on other continental shelves, and the contribution of BNFs to the nutrient requirements of PP was minimal. Consequently, the benthic-pelagic coupling in the SYS during spring was weak due to low BNF, following the low sediment OC oxidation rate. However, since our results are representative only of the spring season, further studies on temporal variability are necessary to fully understand the biogeochemical cycle in the YS.

Statements

Data availability statement

The original contributions presented in the study are included in the article/supplementary material. Further inquiries can be directed to the corresponding author.

Author contributions

JB: Conceptualization, Formal analysis, Visualization, Writing – original draft. SK: Conceptualization, Visualization, Writing – review & editing. KK: Conceptualization, Formal analysis, Funding acquisition, Writing – review & editing. JC: Investigation, Methodology, Writing – review & editing. HJ: Investigation, Methodology, Writing – review & editing. CL: Methodology, Visualization, Writing – review & editing. SA: Writing – review & editing. JL: Conceptualization, Funding acquisition, Investigation, Visualization, Writing – review & editing.

Funding

The author(s) declare that financial support was received for the research and/or publication of this article. This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (RS-2022-NR068500) and Korea Institute of Marine Science and Technology Promotion (KIMST) funded by the Ministry of Oceans and Fisheries (20210696). This work was also supported by grants from the National Marine Biodiversity Institute of Korea (2025M00300).

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Generative AI statement

The author(s) declare that no Generative AI was used in the creation of this manuscript.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

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Summary

Keywords

total sediment oxygen uptake, benthic nutrient fluxes, organic carbon, continental shelf, Yellow Sea

Citation

Baek J-W, Kim S-H, Kim K-T, Choi JY, Jeong H-J, Lee CH, An S-U and Lee JS (2025) Spatial variability of sediment oxygen consumption and benthic nutrient fluxes in the continental shelf of the Southern Yellow Sea during spring. Front. Mar. Sci. 12:1535248. doi: 10.3389/fmars.2025.1535248

Received

27 November 2024

Accepted

18 March 2025

Published

16 April 2025

Volume

12 - 2025

Edited by

Selvaraj Kandasamy, Central University of Tamil Nadu, India

Reviewed by

Solomon Dan, Beibu Gulf University, China

Huawei Wang, Southern University of Science and Technology, China

Updates

Copyright

*Correspondence: Jae Seong Lee,

Disclaimer

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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