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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Mar. Sci.</journal-id>
<journal-title>Frontiers in Marine Science</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Mar. Sci.</abbrev-journal-title>
<issn pub-type="epub">2296-7745</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fmars.2024.1521036</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Marine Science</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Biogeochemical cycling of sedimentary organic carbon and benthic nutrient fluxes in the semi-enclosed Jinhae Bay, Korea: insights into benthic-pelagic coupling</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>An</surname>
<given-names>Sung-Uk</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/798096"/>
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<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Kim</surname>
<given-names>Kyung-Tae</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Kim</surname>
<given-names>Sung-Han</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/846551"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/visualization/"/>
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<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Baek</surname>
<given-names>Ju-Wook</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Jeong</surname>
<given-names>Hyun-Jeong</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
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<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Sun</surname>
<given-names>Chul-In</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Choi</surname>
<given-names>Jin Young</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1257187"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Hong</surname>
<given-names>Sokjin</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Lee</surname>
<given-names>Dae In</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
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</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Lee</surname>
<given-names>Jae Seong</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1891814"/>
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</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Marine Environment Research Center, Korea Institute of Ocean Science and Technology</institution>, <addr-line>Busan</addr-line>, <country>Republic of Korea</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Department of Ecology and Conservation, National Marine Biodiversity Institute of Korea</institution>, <addr-line>Seocheon</addr-line>, <country>Republic of Korea</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Department of Convergence Study on the Ocean Science and Technology, Ocean Science and Technology School</institution>, <addr-line>Busan</addr-line>, <country>Republic of Korea</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Marine Environment Monitoring Team, Korea Marine Environment Management Corporation</institution>, <addr-line>Busan</addr-line>, <country>Republic of Korea</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Marine Environment Research Division, National Institute of Fisheries Science (NIFS)</institution>, <addr-line>Busan</addr-line>, <country>Republic of Korea</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Sudheesh Valliyodan, Central University of Kerala, India</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Peng Zhang, Guangdong Ocean University, China</p>
<p>Regan Nicholaus, Mbeya University of Science and Technology, Tanzania</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Jae Seong Lee, <email xlink:href="mailto:leejs@kiost.ac.kr">leejs@kiost.ac.kr</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>22</day>
<month>01</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>11</volume>
<elocation-id>1521036</elocation-id>
<history>
<date date-type="received">
<day>01</day>
<month>11</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>26</day>
<month>12</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 An, Kim, Kim, Baek, Jeong, Sun, Choi, Hong, Lee and Lee</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>An, Kim, Kim, Baek, Jeong, Sun, Choi, Hong, Lee and Lee</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<p>The mineralization of organic matter at the sediment plays a crucial role in ecosystem functioning by facilitating the biogeochemical cycling of carbon and nutrients. This process not only supports nutrient availability for primary production but also regulates the long-term storage of carbon within sediments. To understand the biogeochemical processes associated with organic matter mineralization and nutrient regeneration, we estimated total and diffusive sediment oxygen uptake rates, benthic nutrient fluxes, and organic carbon (OC) budgets at four sites in the semi-enclosed Jinhae Bay (JB). The total oxygen uptake (TOU) rates ranged from 38.4 to 49.6 mmol O<sub>2</sub> m<sup>&#x2013;2</sup> d<sup>&#x2013;1</sup>, and diffusive oxygen uptake (DOU) rates ranged from 12.3 &#xb1; 1.8 to 15.1 &#xb1; 1.4 mmol O<sub>2</sub> m<sup>&#x2013;2</sup> d<sup>&#x2013;1</sup>. The average ratio of TOU : DOU ranged from 3.12 to 3.28 over JB, which suggests significant benthic faunal activities in JB sediments. The vertical flux of organic carbon ranged from 45.5 &#xb1; 7.0 to 93.0 &#xb1; 25.3 mmol C m<sup>-2</sup> d<sup>&#x2013;1</sup>, and mainly consisted of biodeposits associated with aquaculture activities. The burial flux into the sediment ranged from 3.96 &#xb1; 1.00 to 7.17 &#xb1; 1.64 mmol C m<sup>&#x2013;2</sup> d<sup>&#x2013;1</sup>, and burial efficiencies were 4.25 to 15.8%, which indicated that deposited organic carbon was either mineralized in surface sediment before burial or laterally transferred by resuspension. The benthic nutrient fluxes at four sites ranged from 1.50 to 2.07 mmol m<sup>&#x2013;2</sup> d<sup>&#x2013;1</sup> for nitrogen, from 0.02 to 0.05 mmol m<sup>&#x2013;2</sup> d<sup>&#x2013;1</sup> for phosphate, and from 6.72 to 9.11 mmol m<sup>&#x2013;2</sup> d<sup>&#x2013;1</sup> for silicate. The benthic nitrogen and phosphate fluxes accounted for 82.1 to 149% and 23.1 to 57.6%, respectively, of the required levels for primary production in the water column. Our results suggest that OC oxidation in the JB sediment may significantly contribute to the biogeochemical OC cycles and tight benthic&#x2013;pelagic coupling associated with nutrient regeneration.</p>
</abstract>
<kwd-group>
<kwd>total oxygen uptake</kwd>
<kwd>organic carbon mineralization</kwd>
<kwd>benthic nutrient flux</kwd>
<kwd>organic carbon budget</kwd>
<kwd>semi-enclosed bay</kwd>
</kwd-group>
<counts>
<fig-count count="7"/>
<table-count count="4"/>
<equation-count count="6"/>
<ref-count count="72"/>
<page-count count="14"/>
<word-count count="7079"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Marine Biogeochemistry</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Although coastal zones constitute only a small fraction (~8%) of the world&#x2019;s oceans, they are among the most productive ecosystems and play a crucial role in providing various ecosystem services such as food resources, protection, nursery grounds for fish, and biogeochemical reactors (<xref ref-type="bibr" rid="B1">Alongi, 1998</xref>; <xref ref-type="bibr" rid="B5">Barbier et&#xa0;al., 2011</xref>). Among these services, coastal zones are particularly important in mediating carbon cycling and nutrient regeneration as an ecosystem connecting terrestrial and marine environments (<xref ref-type="bibr" rid="B60">Ramesh et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B16">Cloern et&#xa0;al., 2016</xref>). Thus, they have been recognized as more valuable ecosystems than the open ocean (<xref ref-type="bibr" rid="B18">Costanza et&#xa0;al., 1997</xref>; <xref ref-type="bibr" rid="B19">2014</xref>). However, frequent environmental disturbances in coastal areas, resulting from anthropogenic activities and climate change, threaten ecosystem functions and human health. These include red tides (harmful algal blooms), and hypoxia and eutrophication (excessive nutrient inputs leading to low oxygen levels) and are generally characterized by an intense accumulation of organic matter in the sediment, ultimately leading to significant changes in coastal biogeochemical processes associated with organic carbon (OC) mineralization and nutrient regeneration (<xref ref-type="bibr" rid="B63">Rowe et&#xa0;al., 1975</xref>; <xref ref-type="bibr" rid="B17">Conley et&#xa0;al., 2007</xref>; <xref ref-type="bibr" rid="B50">Lee et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B40">Kim et&#xa0;al., 2021</xref>). Understanding these coastal biogeochemical processes, involving organic matter and nutrients, is essential for assessing ecological function and the impacts of disturbances.</p>
<p>In coastal waters, large amounts of organic matter reach the sediment and is either mineralized or permanently buried (<xref ref-type="bibr" rid="B8">Burdige, 2007</xref>; <xref ref-type="bibr" rid="B3">Arndt et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B47">Larowe et&#xa0;al., 2020</xref>). Benthic OC mineralization occurs through a variety of degradation pathways using various electron acceptors, including O<sub>2</sub>, NO<sub>3</sub>
<sup>&#x2013;</sup>, Mn-oxides, Fe-oxides, and SO<sub>4</sub>
<sup>2&#x2013;</sup> (<xref ref-type="bibr" rid="B24">Froelich et&#xa0;al., 1979</xref>; <xref ref-type="bibr" rid="B10">Canfield et&#xa0;al., 1993</xref>; <xref ref-type="bibr" rid="B29">Hyun et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B70">Zhao and Zhang, 2022</xref>). In the oxic layer of sediments, aerobic respiration is the dominant degradation process with O<sub>2</sub> consumption. Below the oxic layer, a significant amount of O<sub>2</sub> is also consumed through efficient reoxidation of reduced by-products from anaerobic mineralization (<xref ref-type="bibr" rid="B33">J&#xf8;rgensen, 1982</xref>; <xref ref-type="bibr" rid="B35">J&#xf8;rgensen et&#xa0;al., 2022</xref>). Thus, sediment oxygen uptake has been commonly used as an indicator of complex OC oxidation processes (<xref ref-type="bibr" rid="B26">Glud, 2008</xref>; <xref ref-type="bibr" rid="B35">J&#xf8;rgensen et&#xa0;al., 2022</xref>). Benthic OC mineralization processes, which degrade organic matter in sediments, release dissolved inorganic carbon and nutrients into the sediment pore water. These may be released into the water column and contribute to primary production (<xref ref-type="bibr" rid="B22">Ferr&#xf3;n et&#xa0;al., 2009</xref>; <xref ref-type="bibr" rid="B50">Lee et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B28">Griffiths et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B45">Lacoste et&#xa0;al., 2022</xref>). Therefore, benthic organic matter mineralization has significant implications for the global carbon and nutrient budget, as it determines the fate of organic matter entering the sediments and influences the overall carbon and nutrient balance in coastal ecosystems (<xref ref-type="bibr" rid="B8">Burdige, 2007</xref>; <xref ref-type="bibr" rid="B28">Griffiths et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B21">Ehrnsten et&#xa0;al., 2022</xref>).</p>
<p>Jinhae Bay (JB) is a semi-enclosed bay with a shallow water depth (&lt; 50 m) on the southeastern coast of Korea (<xref ref-type="bibr" rid="B36">Kang, 1991</xref>). Unique geographical features that limit water circulation, in conjunction with massive organic matter loading from large-scale aquaculture, industrial complexes, and coastal cities, mean the area frequently experiences hypoxia, red tides, and metal pollution (<xref ref-type="bibr" rid="B55">Lim et&#xa0;al., 2006</xref>; <xref ref-type="bibr" rid="B49">Lee et&#xa0;al., 2017</xref>, <xref ref-type="bibr" rid="B52">2018</xref>; <xref ref-type="bibr" rid="B43">Kwon et&#xa0;al., 2020</xref>). In particular, seasonal hypoxia in JB is detrimental to the spawning and nursing ground of aquatic resources, imposing severe damage on the aquaculture industry, including reduced levels of fishery production, disease, and frequent fish mortality (<xref ref-type="bibr" rid="B55">Lim et&#xa0;al., 2006</xref>; <xref ref-type="bibr" rid="B30">Hyun et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B52">Lee et&#xa0;al., 2018</xref>). Recently, mass mortality events, accounting for about 80% of the anticipated harvest, have been reported in oyster farms on the southern coast of Korea, including in JB, during the initial winter harvesting season (<xref ref-type="bibr" rid="B59">NIFS, 2021</xref>). When the massive organic matter associated with various disturbance in JB exported to the sediment, it will eventually impact the functioning of benthic ecosystems by promoting carbon burial and benthic remineralization.</p>
<p>To assess the effects of excessive disturbance in JB, several inventory studies on the physical, chemical, and biological characteristics of water columns and sediments have been conducted over the last four decades (<xref ref-type="bibr" rid="B13">Cho, 1979</xref>; <xref ref-type="bibr" rid="B36">Kang, 1991</xref>; <xref ref-type="bibr" rid="B55">Lim et&#xa0;al., 2006</xref>; <xref ref-type="bibr" rid="B4">Bae et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B69">Yoon et&#xa0;al., 2019</xref>). However, in these studies, limitations in the biogeochemical information relating to OC and nutrients resulted in uncertainties when estimating the complex interaction between the sediment and water column (<xref ref-type="bibr" rid="B50">Lee et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B30">Hyun et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B52">Lee et&#xa0;al., 2018</xref>). Hence, the application of benthic&#x2013;pelagic coupling, associated with biogeochemical OC cycles and nutrient regeneration, has been proposed to more effectively estimate the behavior and biogeochemical processes of OC and nutrients within coastal systems. The primary goals of this study, in the semi-enclosed coastal ecosystem of JB, were (1) to quantify sediment oxygen uptake using an autonomous <italic>in situ</italic> benthic lander, (2) to estimate the partitioning sedimentary OC flux and its mass budget in the sediment, and (3) to quantify the contribution of benthic nutrient fluxes to primary production in the water column via benthic&#x2013;pelagic coupling.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<label>2</label>
<title>Materials and methods</title>
<sec id="s2_1">
<label>2.1</label>
<title>Study area</title>
<p>JB, with an area of about 640 km<sup>2</sup>, is the largest embayment in the southeastern part of the Korean Peninsula (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>). The tide in JB is semidiurnal, with a range between 0.45 m during neap tide and 1.8 m during spring tide (<xref ref-type="bibr" rid="B37">Kim et&#xa0;al., 2014</xref>). The current during spring tide is approximately 90 cm s<sup>&#x2013;1</sup> and about 30 cm s<sup>&#x2013;1</sup> during neap tide, while weak currents (&lt; 10 cm s<sup>&#x2013;1</sup>) are observed in the inner bay (<xref ref-type="bibr" rid="B36">Kang, 1991</xref>). JB is surrounded by the cities of Jinhae, Masan, Goseong, Tongyeong, and Geoje with a combined population of more than a million people and including an enormous industrial complex (<xref ref-type="bibr" rid="B37">Kim et&#xa0;al., 2014</xref>). JB has been one of Korea&#x2019;s major fisheries with high productivity and about 48 km<sup>2</sup> of the area is used for intensive large-scale aquaculture, including oyster, mussel, sea squirt, and blood cockle farming (<xref ref-type="bibr" rid="B52">Lee et&#xa0;al., 2018</xref>). In particular, the Jinhae-Tongyeong coast, including the JB, in southeastern Korea is a major hub for oyster aquaculture, representing about 80% of the nation&#x2019;s total production (<ext-link ext-link-type="uri" xlink:href="http://www.foc.re.kr">http://www.foc.re.kr</ext-link>). In addition, long water residence times and low tidal current velocities, because of the topographic features of the semi-enclosed bay, lead to deposition of biodeposits (feces and pseudo-feces) close to the aquacultural areas (<xref ref-type="bibr" rid="B30">Hyun et&#xa0;al., 2013</xref>).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Map of the Jinhae Bay showing four sampling sites in the Dangdong Bay.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-11-1521036-g001.tif"/>
</fig>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Sampling</title>
<p>Water and sediment core sampling, and other <italic>in situ</italic> experiments, were carried out in December 2022 in Dangdong Bay, which is one of the several inner bays located on the western side of JB (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>). Oyster (<italic>Grassostrea gigas</italic>) and ascidian (<italic>Styela clava</italic>) farming occur around the sampling area, and large quantities of oysters are harvested during November and February. The water temperature, salinity, pH, and dissolved oxygen (DO) in the water column were measured <italic>in situ</italic> using a calibrated multiparameter water quality meter (YSI-6600; YSI Inc., Yellow Springs, OH, USA). Water samples from the surface and bottom layer, for the measurement of dissolved inorganic nutrients, were collected using a Niskin water sampler (model 1010, General Oceanics Inc., Miami Gardens, FL, USA). The water samples for measuring dissolved inorganic nutrients were immediately filtered using a membrane syringe filter (pore size: 0.45 &#x3bc;m, Advantec, Japan) and then stored below &#x2013;20&#xb0;C pending analysis.</p>
<p>Sediment cores for geochemical analysis were collected by scuba divers in duplicate or triplicate using an acrylic core to minimize surface disturbance. They were stored onboard in coolers with ice. Any core containing visually significant bioturbation or shells along the walls, that could affect the vertical stratifications, was not retained. Sediment pore water samples were extracted using a Rhizon sampler (Rhizon CSS, Rhizosphere Research Products, Netherlands) at 1-cm depth intervals through predrilled and taped holes in the core (<xref ref-type="bibr" rid="B64">Seeberg-Elverfeldt et&#xa0;al., 2005</xref>). Pore water samples were kept frozen (&#x2212;20&#xb0;C) until processed in the laboratory. Sediment samples for measuring total organic carbon (TOC) and total nitrogen (TN) content were sectioned at 0&#x2013;2-cm intervals and kept in a deep freezer (&#x2212;20&#xb0;C) until laboratory processing.</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>
<italic>In situ</italic> measurements</title>
<p>To estimate the <italic>in situ</italic> sediment total oxygen uptake (TOU) rate, diffusive oxygen uptake (DOU) rate, and benthic nutrient fluxes at the sediment&#x2013;water interface, we deployed the autonomous <italic>in situ</italic> benthic lander on the sea floor with the assistance of a scuba diver. The benthic lander consists of the benthic chamber (Belc<italic>II</italic>), microprofiler (Belp<italic>II</italic>), and automatic water sampler (<xref ref-type="bibr" rid="B50">Lee et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B14">Cho et&#xa0;al., 2023</xref>). In brief, the Belc<italic>II</italic> contains an opaque rectangular chamber with a base area of 841 cm<sup>2</sup> (29 &#xd7; 29 cm<sup>2</sup>), and an automatic syringe water sampler. After reaching the seafloor and waiting for 2 h, the chambers are enclosed by a lid with a motor-driven closing system. Once the lid is closed, four stirring bars on the lid rotate at a speed of ~30 rpm, creating a diffusion boundary with a layer thickness of about 300&#x2013;700 &#x3bc;m at the sediment&#x2013;water interface (<xref ref-type="bibr" rid="B50">Lee et&#xa0;al., 2012</xref>). Variations of O<sub>2</sub> concentration in the chamber are measured at 10-s intervals over the incubation period by an oxygen optode sensor (4330F, Aanderaa, Norway) mounted on the lid (<xref ref-type="bibr" rid="B50">Lee et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B14">Cho et&#xa0;al., 2023</xref>). Meanwhile, the Belp<italic>II</italic> consists of the four separate O<sub>2</sub> microoptode systems (OXR50-HS-SUB and FSO2-SUBPORT, PyroScience GmbH, Germany) and is equipped with a custom-built motor-driven linear stage, allowing for high spatial resolution (&lt;100 &#x3bc;m) measurement of oxygen at the sediment&#x2013;water interface. The O<sub>2</sub> microoptode consists of a retractable fiber of 230 &#x3bc;m with a tip diameter of 50&#x2013;70 &#x3bc;m and a 90% response time of less than 0.8 s. The zero-reading for O<sub>2</sub> concentration was determined in the anoxic zone of the profiles, where oxygen has reached a constant value. Before deploying the benthic lander, the oxygen sensors for the chamber were calibrated at 100% air-saturation using air-bubbled water and 0% air-saturation using sodium dithionite-added water. After bringing the benthic chamber on board, water samples were collected by syringe sampler for nutrient analysis and filtered immediately using a membrane syringe filter (pore size 0.45 &#x3bc;m, Advantec, Tokyo, Japan) and then stored in a freezer (&#x2212;20&#xb0;C) until analysis.</p>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>Sediment trap</title>
<p>Four acrylic cylindrical sediment traps with a diameter of 7 cm, a length of 60 cm (an aspect ratio of 8.6) were deployed for more than 24 h at each site to collect the vertical flux of particulate OC and TN (<xref ref-type="bibr" rid="B48">Lee et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B40">Kim et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B14">Cho et&#xa0;al., 2023</xref>). With the assistance of a scuba diver, these sediment traps were placed on the upper frame of the benthic lander. To ensure the preservation of particulate materials and prevent sample wash-out, the trap bottles filled with filtered saline water (more than 50) and attached to the bottom of each sediment trap after approximately 2 hours. A scuba diver subsequently recovered the sediment traps prior to retrieval of the benthic chamber. The overlying water was cautiously siphoned off within 3 h, and samples were stored in a refrigerator until laboratory processing.</p>
</sec>
<sec id="s2_5">
<label>2.5</label>
<title>Laboratory analysis</title>
<p>Dissolved inorganic nutrient (NH<sub>4</sub>
<sup>+</sup>, NO<sub>x</sub>, PO<sub>4</sub>
<sup>3&#x2013;</sup>, and Si(OH)<sub>4</sub>) concentrations in the water column and sediment pore water were measured using an autoanalyzer (QuAAtro 39, SEAL Analytical, Mequon, WI, USA) within a week. To minimize potential artifacts for nutrient analysis, our samples were promptly thawed and filtered to remove particulate matter, ensuring that any silicate precipitate formed during freezing was excluded from analysis. Certified reference material (KANSO Ltd., Japan) was included in each batch of nutrient samples and were used to ensure the accuracy of the samples. Reproducibility was generally within &#xb1;7%. The porosity of the sediment was determined from the net weight difference between wet and dry sediment. The total organic carbon (TOC) and total nitrogen (TN) sediment contents were measured using a CHN analyzer (Thermo Finnigan Flash EA 1112) after acidification with 1 M HCl to remove CaCO<sub>3</sub>. TOC and TN contents were calculated from raw data using calibration series obtained with sulfanilamide standards (C<sub>6</sub>H<sub>8</sub>N<sub>2</sub>O<sub>2</sub>S, Thermo Fisher Scientific Inc, USA). To estimate the vertical flux of total mass (TM), TOC, and TN, two aliquots of samples from the sediment trap were filtered through precombusted GF/F filters (6827-1315, Whatman, UK) and freeze-dried until reaching a constant weight. The filtered sample was acidified, and its TOC and TN contents were determined using the same process as for the sediment samples.</p>
<p>The <sup>210</sup>Pb activity in the core samples was measured using an alpha spectrometer equipped with low-background silicon-surface barrier detectors (PIPS Detector Canberra, USA) (<xref ref-type="bibr" rid="B50">Lee et&#xa0;al., 2012</xref>). This assumed that the total activity of <sup>210</sup>Po (daughter nuclide of <sup>210</sup>Pb) in the sediments had reached radioactive equilibrium with <sup>210</sup>Pb. For this measurement, about 0.5&#x2013;1 g of powdered sediment was spiked with <sup>209</sup>Po and then digested with a mixture of concentrated HNO<sub>3</sub> and HCl on a hot plate. After reducing the ferric ions with ascorbic acid in an acid solution, the Po isotopes (<sup>209</sup>Po and <sup>210</sup>Po) were spontaneously deposited onto a silver disk at 70&#xb0;C for 6 h with stirring. The activity was counted over a day to obtain sufficient counts (&gt; 1000). Excess <sup>210</sup>Pb (<sup>210</sup>Pb<sub>xs</sub>) was determined by subtracting average <sup>210</sup>Pb activity in the lower sediment layer from the measured <sup>210</sup>Pb activities.</p>
</sec>
<sec id="s2_6">
<label>2.6</label>
<title>Flux calculations</title>
<p>The TOU and BNF (benthic nutrient flux) across the sediment&#x2013;water interface (SWI) were calculated as:</p>
<disp-formula>
<mml:math display="block" id="M1">
<mml:mrow>
<mml:mi>F</mml:mi>
<mml:mo>=</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:mi>d</mml:mi>
<mml:mi>C</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mi>d</mml:mi>
<mml:mi>t</mml:mi>
</mml:mrow>
</mml:mfrac>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xd7;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mfrac>
<mml:mi>V</mml:mi>
<mml:mi>A</mml:mi>
</mml:mfrac>
</mml:mrow>
</mml:math>
</disp-formula>
<p>where F is the TOU or the BNF (mmol m<sup>&#x2013;2</sup> d<sup>&#x2013;1</sup>), dC/dt is the slope of the line derived from regressing the TOU or BNF concentration as a function of incubation time (mmol L<sup>&#x2013;1</sup> d<sup>&#x2013;1</sup>), V/A is the chamber height [V: chamber volume (m<sup>3</sup>), A: chamber area (m<sup>2</sup>)].</p>
<p>The high resolution O<sub>2</sub> vertical profiles at the upper diffusive boundary layer (DBL) and SWI were determined to calculate the DOU rate (<xref ref-type="bibr" rid="B34">J&#xf8;rgensen and Revsbech, 1985</xref>). The DOU rate was derived from the <italic>in situ</italic> diffusion coefficient of temperature and salinity and the oxygen gradient within the DBL using the following equation (<xref ref-type="bibr" rid="B26">Glud, 2008</xref>):</p>
<disp-formula>
<mml:math display="block" id="M2">
<mml:mrow>
<mml:mi>D</mml:mi>
<mml:mi>O</mml:mi>
<mml:mi>U</mml:mi>
<mml:mo>=</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#x2212;</mml:mo>
<mml:msub>
<mml:mi>D</mml:mi>
<mml:mn>0</mml:mn>
</mml:msub>
<mml:mo>&#xa0;</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:mi>d</mml:mi>
<mml:msub>
<mml:mi>O</mml:mi>
<mml:mn>2</mml:mn>
</mml:msub>
</mml:mrow>
<mml:mrow>
<mml:mi>d</mml:mi>
<mml:mi>z</mml:mi>
</mml:mrow>
</mml:mfrac>
</mml:mrow>
</mml:math>
</disp-formula>
<p>where D<sub>0</sub> is the molecular diffusion coefficient of oxygen corrected using <italic>in situ</italic> temperature and salinity (<xref ref-type="bibr" rid="B7">Broecker and Peng, 1974</xref>; <xref ref-type="bibr" rid="B54">Li and Gregory, 1974</xref>) and dO<sub>2</sub>/dz is the oxygen concentration gradient (mmol cm<sup>&#x2013;4</sup>) within the DBL.</p>
</sec>
<sec id="s2_7">
<label>2.7</label>
<title>Sedimentation rate</title>
<p>Using the vertical <sup>210</sup>Pb<sub>xs</sub> profiles, and assuming a steady state, the apparent sedimentation rate (SR) was estimated using:</p>
<disp-formula>
<mml:math display="block" id="M3">
<mml:mrow>
<mml:mi>A</mml:mi>
<mml:mo>=</mml:mo>
<mml:msub>
<mml:mi>A</mml:mi>
<mml:mn>0</mml:mn>
</mml:msub>
<mml:mi>e</mml:mi>
<mml:mi>x</mml:mi>
<mml:mi>p</mml:mi>
<mml:mo stretchy="false">[</mml:mo>
<mml:mo stretchy="false">(</mml:mo>
<mml:mo>&#x2212;</mml:mo>
<mml:mfrac>
<mml:mi>&#x3bb;</mml:mi>
<mml:mrow>
<mml:mi>S</mml:mi>
<mml:mi>R</mml:mi>
</mml:mrow>
</mml:mfrac>
<mml:mo stretchy="false">)</mml:mo>
<mml:mi>z</mml:mi>
<mml:mo stretchy="false">]</mml:mo>
</mml:mrow>
</mml:math>
</disp-formula>
<p>where A is the <sup>210</sup>Pb<sub>xs</sub> activity in each sediment layer, A<sub>0</sub> is the <sup>210</sup>Pb<sub>xs</sub> activity in the surface sediment (z=0), &#x3bb; is the <sup>210</sup>Pb decay constant (0.031 y<sup>&#x2013;1</sup>), and SR is the sedimentation rate (cm y<sup>&#x2013;1</sup>). SR was estimated as the slope of the least-square regression between ln(<sup>210</sup>Pb<sub>xs</sub>) and sediment depth (z, cm) below the mixed surface layer of sediment.</p>
<p>We calculated the theoretical maximum sedimentation rate (Max<sub>sed</sub>) to assess the influence of resuspended particles using the following equation (<xref ref-type="bibr" rid="B48">Lee et&#xa0;al., 2014</xref>):</p>
<disp-formula>
<mml:math display="block" id="M4">
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mtext>Max</mml:mtext>
</mml:mrow>
<mml:mrow>
<mml:mtext>sed</mml:mtext>
</mml:mrow>
</mml:msub>
<mml:mo>=</mml:mo>
<mml:mtext>TM</mml:mtext>
<mml:mo stretchy="false">/</mml:mo>
<mml:mo stretchy="false">(</mml:mo>
<mml:mn>1</mml:mn>
<mml:mo>&#x2212;</mml:mo>
<mml:mi>&#x3d5;</mml:mi>
<mml:mo stretchy="false">)</mml:mo>
<mml:mi>&#x3c1;</mml:mi>
</mml:mrow>
</mml:math>
</disp-formula>
<p>where Max<sub>sed</sub> is the maximum sedimentation rate (cm y<sup>&#x2013;1</sup>), the TM is the total mass flux collected by the sediment trap (g m<sup>&#x2013;2</sup> d<sup>&#x2013;1</sup>), &#x3d5; is the surface sediment porosity, and &#x3c1; is the dry bulk density (g cm<sup>&#x2013;3</sup>).</p>
</sec>
<sec id="s2_8">
<label>2.8</label>
<title>Statistical analysis</title>
<p>Analysis of variance (ANOVA) was performed using SPSS version 21 (SPSS for windows, SPSS INC., Chicago, USA). One-way ANOVA followed by Tukey&#x2019;s multiple comparison or Kruskal-Wallis non-parametric multiple comparison tests were performed to assess spatial difference in the TOC and TN concentration of the sediment.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<sec id="s3_1">
<label>3.1</label>
<title>Water column physiochemical characteristics and nutrient concentrations</title>
<p>The water depth, temperature, salinity, DO, and nutrients of the water samples are listed in <xref ref-type="table" rid="T1">
<bold>Table 1</bold>
</xref>. The water depth at the stations was approximately 15 m. Across the entire sampling site, water temperature, salinity, and pH ranged from 10.3 to 11.2&#xb0;C (average, 10.8 &#xb1; 0.32&#xb0;C), from 33.2 to 33.5 (average, 33.4 &#xb1; 0.09), and from 7.66 to 7.92 (average, 7.78 &#xb1; 0.10), respectively. Neither temperature nor salinity exhibited significant differences horizontally or vertically, suggesting a well-mixed water column in the study area. DO concentrations ranged from 270 to 302 &#x3bc;mol L<sup>&#x2013;1</sup> (average, 285 &#xb1; 12.5 &#x3bc;mol L<sup>&#x2013;1</sup>) and were well saturated (96&#x2013;108%). NH<sub>4</sub>
<sup>+</sup>, NO<sub>x</sub>, PO<sub>4</sub>
<sup>3&#x2013;</sup>, and Si(OH)<sub>4</sub> concentrations ranged from 1.38 to 1.95 &#x3bc;mol L<sup>&#x2013;1</sup> (average, 1.69 &#xb1; 0.22 &#x3bc;mol L<sup>&#x2013;1</sup>), from 1.17 to 2.66 &#x3bc;mol L<sup>&#x2013;1</sup> (average, 1.78 &#xb1; 0.46 &#x3bc;mol L<sup>&#x2013;1</sup>), from 0.31 to 0.43 &#x3bc;mol L<sup>&#x2013;1</sup> (average, 0.38 &#xb1; 0.04 &#x3bc;mol L<sup>&#x2013;1</sup>), and from 11.5 to 16.4 &#x3bc;mol L<sup>&#x2013;1</sup> (average, 13.5 &#xb1; 1.54 &#x3bc;mol L<sup>&#x2013;1</sup>), respectively.</p>
<table-wrap id="T1" position="float">
<label>Table 1</label>
<caption>
<p>Environmental parameters in the surface and bottom water at the four sampling sites.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" rowspan="2" colspan="2" align="left"/>
<th valign="top" align="center">Temp.</th>
<th valign="top" rowspan="2" align="center">Salinity</th>
<th valign="top" rowspan="2" align="center">pH</th>
<th valign="top" align="center">DO</th>
<th valign="top" align="center">NH<sub>4</sub>
<sup>+</sup>
</th>
<th valign="top" align="center">NO<sub>x</sub>
</th>
<th valign="top" align="center">PO<sub>4</sub>
<sup>3-</sup>
</th>
<th valign="top" align="center">Si(OH)<sub>4</sub>
</th>
</tr>
<tr>
<th valign="top" align="center">(&#xb0;C)</th>
<th valign="top" colspan="5" align="center">(&#x3bc;mol L<sup>-1</sup>)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">St.1</td>
<td valign="top" align="center">S</td>
<td valign="top" align="center">11.2</td>
<td valign="top" align="center">33.2</td>
<td valign="top" align="center">7.87</td>
<td valign="top" align="center">290 (104)</td>
<td valign="top" align="center">1.89 &#xb1; 0.01</td>
<td valign="top" align="center">2.66 &#xb1; 0.98</td>
<td valign="top" align="center">0.39 &#xb1; 0.01</td>
<td valign="top" align="center">13.6 &#xb1; 0.17</td>
</tr>
<tr>
<td valign="top" align="left">
</td>
<td valign="top" align="center">B</td>
<td valign="top" align="center">10.7</td>
<td valign="top" align="center">33.3</td>
<td valign="top" align="center">7.68</td>
<td valign="top" align="center">273 (97)</td>
<td valign="top" align="center">1.38 &#xb1; 0.05</td>
<td valign="top" align="center">1.51 &#xb1; 0.01</td>
<td valign="top" align="center">0.38 &#xb1; 0.01</td>
<td valign="top" align="center">14.0 &#xb1; 0.03</td>
</tr>
<tr>
<td valign="top" align="left">St.2</td>
<td valign="top" align="center">S</td>
<td valign="top" align="center">11.1</td>
<td valign="top" align="center">33.3</td>
<td valign="top" align="center">7.78</td>
<td valign="top" align="center">302 (96)</td>
<td valign="top" align="center">1.89 &#xb1; 0.01</td>
<td valign="top" align="center">2.04 &#xb1; 0.09</td>
<td valign="top" align="center">0.43 &#xb1; 0.01</td>
<td valign="top" align="center">14.0 &#xb1; 0.11</td>
</tr>
<tr>
<td valign="top" align="left">
</td>
<td valign="top" align="center">B</td>
<td valign="top" align="center">10.6</td>
<td valign="top" align="center">33.5</td>
<td valign="top" align="center">7.81</td>
<td valign="top" align="center">288 (102)</td>
<td valign="top" align="center">1.95 &#xb1; 0.01</td>
<td valign="top" align="center">2.11 &#xb1; 0.09</td>
<td valign="top" align="center">0.37 &#xb1; 0.01</td>
<td valign="top" align="center">16.4 &#xb1; 0.14</td>
</tr>
<tr>
<td valign="top" align="left">St.3</td>
<td valign="top" align="center">S</td>
<td valign="top" align="center">11.0</td>
<td valign="top" align="center">33.3</td>
<td valign="top" align="center">7.66</td>
<td valign="top" align="center">270 (97)</td>
<td valign="top" align="center">1.44 &#xb1; 0.03</td>
<td valign="top" align="center">1.66 &#xb1; 0.01</td>
<td valign="top" align="center">0.41 &#xb1; 0.01</td>
<td valign="top" align="center">13.0 &#xb1; 0.07</td>
</tr>
<tr>
<td valign="top" align="left">
</td>
<td valign="top" align="center">B</td>
<td valign="top" align="center">10.3</td>
<td valign="top" align="center">33.4</td>
<td valign="top" align="center">7.69</td>
<td valign="top" align="center">275 (97)</td>
<td valign="top" align="center">1.72 &#xb1; 0.11</td>
<td valign="top" align="center">1.56 &#xb1; 0.03</td>
<td valign="top" align="center">0.36 &#xb1; 0.00</td>
<td valign="top" align="center">13.9 &#xb1; 0.01</td>
</tr>
<tr>
<td valign="top" align="left">St.4</td>
<td valign="top" align="center">S</td>
<td valign="top" align="center">11.0</td>
<td valign="top" align="center">33.4</td>
<td valign="top" align="center">7.92</td>
<td valign="top" align="center">302 (108)</td>
<td valign="top" align="center">1.56 &#xb1; 0.09</td>
<td valign="top" align="center">1.17 &#xb1; 0.04</td>
<td valign="top" align="center">0.31 &#xb1; 0.01</td>
<td valign="top" align="center">11.5 &#xb1; 0.01</td>
</tr>
<tr>
<td valign="top" align="left">
</td>
<td valign="top" align="center">B</td>
<td valign="top" align="center">10.5</td>
<td valign="top" align="center">33.4</td>
<td valign="top" align="center">7.83</td>
<td valign="top" align="center">281 (100)</td>
<td valign="top" align="center">1.71 &#xb1; 0.01</td>
<td valign="top" align="center">1.56 &#xb1; 0.03</td>
<td valign="top" align="center">0.36 &#xb1; 0.01</td>
<td valign="top" align="center">12.0 &#xb1; 0.02</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Dissolved oxygen (DO) values within parentheses are oxygen saturation (in %).</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Vertical distribution of TOC and TN</title>
<p>The depth profiles of TOC and TN contents in sediment at the study site are shown in <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>. The TOC contents in the surface sediment (&lt; 2 cm) at St.3 were 7.26 &#xb1; 0.28%, significantly higher than those measured at St.1 (4.47 &#xb1; 0.36%), St.2 (4.14 &#xb1; 0.03%), and St.4 (4.56 &#xb1; 0.14%) (ANOVA, p &lt;0.05). Similarly, the TN content observed at St.3 (0.65 &#xb1; 0.11%) was high compared with St.1 (0.50 &#xb1; 0.001%), St.2 (0.40 &#xb1; 0.001%), and St.4 (0.52 &#xb1; 0.02%). Overall, the vertical profiles of the TOC and TN contents showed a slight decrease with depth, but the profiles at St.3 showed an exceptionally steep decrease with depth (ANOVA, p &lt;0.05).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Vertical profiles of total organic carbon (TOC) and total nitrogen (TN) content in sediments at the sampling sites. The lines in the excess <sup>210</sup>Pb plot represent the linear regression fit from the relationship between activity ln(excess <sup>210</sup>Pb) and sediment depth.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-11-1521036-g002.tif"/>
</fig>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Vertical distribution of inorganic nutrients in pore water</title>
<p>The vertical distributions of NH<sub>4</sub>
<sup>+</sup>, NO<sub>x</sub>, PO<sub>4</sub>
<sup>3&#x2013;</sup>, and Si(OH)<sub>4</sub> concentrations in pore water are illustrated in <xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>. NH<sub>4</sub>
<sup>+</sup> concentrations at St.1 remained low throughout the depth range, whereas they increased steeply in the range 0&#x2013;6 cm but remained relatively constant at lower depths at St.3. NH<sub>4</sub>
<sup>+</sup> concentration at St.2 slightly increased near the surface, and stayed constant below, and increased slightly with depth at St.4. The highest concentrations of NO<sub>x</sub> were measured between 0 and 1 cm at all sites, except for St.3, and the concentration decreased below 1 &#x3bc;mol L<sup>&#x2013;1</sup> at greater depths, indicative of denitrification and/or anammox processes. PO<sub>4</sub>
<sup>3&#x2013;</sup> and Si(OH)<sub>4</sub> in the pore water had similar vertical distribution patterns to the NH<sub>4</sub>
<sup>+</sup> concentrations.</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Vertical distributions of NH<sub>4</sub>
<sup>+</sup>, NO<sub>x</sub>, PO<sub>4</sub>
<sup>3-</sup> and Si(OH)<sub>4</sub> in pore-water of the sampling sites. Error bars indicate a mean &#xb1; 1 SD from duplicate or triplicate cores.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-11-1521036-g003.tif"/>
</fig>
</sec>
<sec id="s3_4">
<label>3.4</label>
<title>
<italic>In situ</italic> TOU and DOU</title>
<p>The temporal evolution of O<sub>2</sub> in the benthic chamber is illustrated in <xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>. Over time, there is a notable decrease in O<sub>2</sub> concentration, attributed to benthic mineralization of organic matter within the sediment. The TOU was estimated to be within the range of 38.4 to 49.6 mmol m<sup>&#x2013;2</sup> d<sup>&#x2013;1</sup> based on the gradient (dO<sub>2</sub>/dt) of the relationship between O<sub>2</sub> concentration and time, as detailed in <xref ref-type="table" rid="T2">
<bold>Table 2</bold>
</xref>.</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Variation of O<sub>2</sub> concentrations by time in the benthic chamber at the sampling sites. The red line represents the linear regression fit.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-11-1521036-g004.tif"/>
</fig>
<p>The vertical distributions of O<sub>2</sub> in the pore water at St.2, St.3, and St.4 are presented in <xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref>, measured using an <italic>in situ</italic> microprofiler (Belp<italic>II</italic>). Unfortunately, O<sub>2</sub> profiles at St.1 could not be obtained because the oxygen sensor&#x2019;s height at the time of microprofiler installation was insufficient to penetrate from the DBL to the sediment. The mean oxygen penetration depths (n = 10) at St.2, St.3, and St.4 were 3.38 &#xb1; 1.33, 2.93 &#xb1; 1.70, and 8.49 &#xb1; 4.83 mm, respectively. DOU values, estimated using the oxygen slope within the DBL, ranged from 12.3 &#xb1; 1.8 to 15.1 &#xb1; 1.4 mmol m<sup>&#x2013;2</sup> d<sup>&#x2013;1</sup> (<xref ref-type="table" rid="T2">
<bold>Table 2</bold>
</xref>).</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Total oxygen uptake (TOU), diffusive oxygen uptake (DOU), and benthic nutrient fluxes.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" rowspan="2" align="left"/>
<th valign="top" align="center">TOU</th>
<th valign="top" align="center">DOU</th>
<th valign="top" align="center">NH<sub>4</sub>
<sup>+</sup>
</th>
<th valign="top" align="center">NO<sub>x</sub>
</th>
<th valign="top" align="center">PO<sub>4</sub>
<sup>3-</sup>
</th>
<th valign="top" align="center">Si(OH)<sub>4</sub>
</th>
</tr>
<tr>
<th valign="top" colspan="6" align="center">(mmol m<sup>&#x2013;2</sup> d<sup>&#x2013;1</sup>)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">St.1</td>
<td valign="top" align="center">45.8</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">0.96 &#xb1; 0.04</td>
<td valign="top" align="center">0.18 &#xb1; 0.03</td>
<td valign="top" align="center">0.05 &#xb1; 0.01</td>
<td valign="top" align="center">6.72 &#xb1; 0.14</td>
</tr>
<tr>
<td valign="top" align="left">St.2</td>
<td valign="top" align="center">38.4</td>
<td valign="top" align="center">12.3 &#xb1; 1.8</td>
<td valign="top" align="center">2.28 &#xb1; 0.16</td>
<td valign="top" align="center">-0.21 &#xb1; 0.01</td>
<td valign="top" align="center">0.05 &#xb1; 0.03</td>
<td valign="top" align="center">7.92 &#xb1; 2.21</td>
</tr>
<tr>
<td valign="top" align="left">St.3</td>
<td valign="top" align="center">49.6</td>
<td valign="top" align="center">15.1 &#xb1; 1.4</td>
<td valign="top" align="center">2.01 &#xb1; 0.23</td>
<td valign="top" align="center">-0.51 &#xb1; 0.28</td>
<td valign="top" align="center">0.05 &#xb1; 0.04</td>
<td valign="top" align="center">7.84 &#xb1; 1.81</td>
</tr>
<tr>
<td valign="top" align="left">St.4</td>
<td valign="top" align="center">44.9</td>
<td valign="top" align="center">13.7 &#xb1; 2.0</td>
<td valign="top" align="center">1.88 &#xb1; 0.07</td>
<td valign="top" align="center">-0.02 &#xb1; 0.02</td>
<td valign="top" align="center">0.02 &#xb1; 0.01</td>
<td valign="top" align="center">9.11 &#xb1; 0.14</td>
</tr>
</tbody>
</table>
</table-wrap>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Vertical distribution of dissolved oxygen measured using a microoptode sensor with 100 &#x3bc;m resolution at the sampling sites.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-11-1521036-g005.tif"/>
</fig>
</sec>
<sec id="s3_5">
<label>3.5</label>
<title>Benthic nutrient flux</title>
<p>The nutrient concentrations in the benthic chamber generally increased during the <italic>in situ</italic> incubation period, but decreases in NO<sub>x</sub> at St.2, St.3, and St.4 imply that denitrification and anammox processes might significantly influence nitrogen cycling in JB sediments (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6</bold>
</xref>). It remains uncertain if this phenomenon is related, but NH<sub>4</sub>
<sup>+</sup> benthic flux at St.1 showed a minimum. BNF estimates were based on the linear relationships between nutrient concentration and time (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6</bold>
</xref>). The BNF across the SWI ranged from 0.96 &#xb1; 0.04 to 2.28 &#xb1; 0.16 mmol m<sup>&#x2013;2</sup> d<sup>&#x2013;1</sup> for NH<sub>4</sub>
<sup>+</sup>, from &#x2013;0.51 &#xb1; 0.28 to 0.18 &#xb1; 0.03 mmol m<sup>&#x2013;2</sup> d<sup>&#x2013;1</sup> for NO<sub>x</sub>, from 0.02 &#xb1; 0.01 to 0.05 &#xb1; 0.04 mmol m<sup>&#x2013;2</sup> d<sup>&#x2013;1</sup> for PO<sub>4</sub>
<sup>3&#x2013;</sup>, and from 6.72 &#xb1; 0.14 to 9.11 &#xb1; 0.14 mmol m<sup>&#x2013;2</sup> d<sup>&#x2013;1</sup> for Si(OH)<sub>4</sub>.</p>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>Variations of nutrient concentrations by time in the benthic chamber at the sampling sites. The red line represents the linear regression fit.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-11-1521036-g006.tif"/>
</fig>
</sec>
<sec id="s3_6">
<label>3.6</label>
<title>Sedimentation rates and vertical fluxes of materials</title>
<p>The vertical profiles of excess <sup>210</sup>Pb in the sediment showed intensive biological mixing to a depth of 20 cm (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>). The surface mixed layer at St.2 was significantly deeper than at other stations. In the vertical profiles of St.3 and St.4, the equilibrium state of <sup>210</sup>Pb was found at sediment depths deeper than 15 cm. We used average <sup>210</sup>Pb activities at equilibrium with <sup>226</sup>Ra, which showed constant activity in deeper sediment layers, to calculate the excess <sup>210</sup>Pb activities. However, this equilibrium was not evident at St.1 and St.2 because the sediment cores collected at these stations were not long enough. Therefore, for St.1 and St.2, we used the <sup>210</sup>Pb activities at the deepest sediment layers available, at 23 cm for St.1 and 29 cm for St.2, where secular equilibrium with <sup>226</sup>Ra was assumed. The sedimentation rates, calculated from the relationship between <sup>210</sup>Pb<sub>xs</sub> and sediment depth, were estimated to be 0.33 &#xb1; 0.03 cm y<sup>&#x2013;1</sup> at St.1, 0.13 &#xb1; 0.03 cm y<sup>&#x2013;1</sup> at St.2, 0.27 &#xb1; 0.06 cm y<sup>&#x2013;1</sup> at St.3, and 0.17 &#xb1; 0.07 cm y<sup>&#x2013;1</sup> at St.4 (<xref ref-type="table" rid="T3">
<bold>Table 3</bold>
</xref>).</p>
<p>The vertical flux of total mass (TM) ranged from 7.10 &#xb1; 0.80 to 27.4 &#xb1; 5.90 g m<sup>&#x2013;2</sup> d<sup>&#x2013;1</sup>, with the highest values at St.2 (<xref ref-type="table" rid="T3">
<bold>Table 3</bold>
</xref>). Vertical fluxes of OC (C<sub>in</sub>) and nitrogen (N<sub>in</sub>) were estimated to range from 45.5 &#xb1; 7.00 to 93.0 &#xb1; 25.3 mmol C m<sup>&#x2013;2</sup> d<sup>&#x2013;1</sup> and from 4.50 &#xb1; 0.50 to 9.30 &#xb1; 3.90 mmol N m<sup>&#x2013;2</sup> d<sup>&#x2013;1</sup>, respectively, with the maximum values observed at St.2 (<xref ref-type="table" rid="T3">
<bold>Table 3</bold>
</xref>).</p>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<sec id="s4_1">
<label>4.1</label>
<title>Organic carbon oxidation in the sediment</title>
<p>TOU has been used as the proxy for the total carbon mineralization rate in marine sediment as it encompasses both aerobic respiration and the reoxidation of reduced inorganic constituents (such as NH<sub>4</sub>
<sup>+</sup>, Mn<sup>2+</sup>, Fe<sup>2+</sup>, and H<sub>2</sub>S) from the anaerobically mediated OC degradation (<xref ref-type="bibr" rid="B11">Canfield et&#xa0;al., 2006</xref>; <xref ref-type="bibr" rid="B26">Glud, 2008</xref>). The estimation of OC mineralization through oxygen uptake relies on the premise that oxygen consumption directly correlates with the total carbon oxidized via aerobic and anaerobic pathways (<xref ref-type="bibr" rid="B10">Canfield et&#xa0;al., 1993</xref>). The OC oxidation rate (OC<sub>ox</sub>) in the sediment was thus calculated from the TOU measurements, applying the Redfield stoichiometric ratio (C:O<sub>2</sub>, 106:138, <xref ref-type="bibr" rid="B61">Redfield et&#xa0;al., 1963</xref>). The sedimentary OC<sub>ox</sub> ranged from 29.5 &#xb1; 2.63 to 38.1 &#xb1; 4.59 mmol C m<sup>&#x2013;2</sup> d<sup>&#x2013;1</sup> (average; 34.3 mmol C m<sup>&#x2013;2</sup> d<sup>&#x2013;1</sup>) and did not exhibit distinctive spatial differences (<xref ref-type="table" rid="T3">
<bold>Table 3</bold>
</xref>). These ranges are lower than previous results of sea squirt and oyster farm (47&#x2013;79 mmol C m<sup>&#x2013;2</sup> d<sup>&#x2013;1</sup>, <xref ref-type="bibr" rid="B51">Lee et&#xa0;al., 2011</xref>), fish farm (52.2 mmol C m<sup>&#x2013;2</sup> d<sup>&#x2013;1</sup>, <xref ref-type="bibr" rid="B15">Choi et&#xa0;al., 2020</xref>; 59.1&#x2013;64.5 mmol C m<sup>&#x2013;2</sup> d<sup>&#x2013;1</sup>, <xref ref-type="bibr" rid="B40">Kim et&#xa0;al., 2021</xref>), and those are higher than shellfish farm (20.6 mmol C m<sup>&#x2013;2</sup> d<sup>&#x2013;1</sup>, <xref ref-type="bibr" rid="B25">Giles et&#xa0;al., 2006</xref>). In JB, the average ratio of OC<sub>DIC</sub>, calculated from alkalinity and total dissolved inorganic carbon (DIC) flux, to OC<sub>ox</sub> was 1.2, which suggests that anaerobic OC mineralization contributes to total OC oxidation (<xref ref-type="bibr" rid="B50">Lee et&#xa0;al., 2012</xref>). In addition, ratios &gt; 1 in coastal sediments with higher organic contents indicate that a significant portion of the reduced substances are being released from the sediment layer into the bottom water or precipitated (e.g., FeS) with other reductants before undergoing complete oxidation in the oxic zone (<xref ref-type="bibr" rid="B11">Canfield et&#xa0;al., 2006</xref>; <xref ref-type="bibr" rid="B22">Ferr&#xf3;n et&#xa0;al., 2009</xref>). Considering that highly reduced substrates (e.g., H<sub>2</sub>S, FeS, FeS<sub>2</sub>) have been identified in the sediment (An, unpublished data), our estimations of OC oxidation, using TOU values and the Redfield ratio, are likely underestimated.</p>
<p>In general, TOU represents the sum of the DOU and benthic fauna-mediated O<sub>2</sub> uptake because DOU is a measure of the diffusive O<sub>2</sub> uptake via the sediment&#x2013;water interface, excluding the impact of benthic fauna activities (<xref ref-type="bibr" rid="B27">Glud et&#xa0;al., 2003</xref>; <xref ref-type="bibr" rid="B26">Glud, 2008</xref>; <xref ref-type="bibr" rid="B32">Hicks et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B41">Kim et&#xa0;al., 2020b</xref>). In our results, the average ratio of TOU : DOU ranged from 3.12 to 3.28, which suggests significant benthic fauna activities in the JB sediments. The ratios estimated by the present study were higher than those reported in other hypoxic estuary (1.14&#x2013;1.90, <xref ref-type="bibr" rid="B6">Bonaglia et&#xa0;al., 2014</xref>; 1.22&#x2013;1.36; <xref ref-type="bibr" rid="B65">Seitaj et&#xa0;al., 2017</xref>), semi-enclosed bay (average 1.27, <xref ref-type="bibr" rid="B27">Glud et&#xa0;al., 2003</xref>), fish farm (0.9&#x2013;1.7, <xref ref-type="bibr" rid="B12">Cathalot et&#xa0;al., 2012</xref>), shallow continental shelf (average 1.42, <xref ref-type="bibr" rid="B46">Lansard et&#xa0;al., 2008</xref>; 0.94&#x2013;2.82, <xref ref-type="bibr" rid="B41">Kim et&#xa0;al., 2020b</xref>), and were comparable to those of a continental shelf and slope (0.78&#x2013;4.25, <xref ref-type="bibr" rid="B2">Archer and Devol, 1992</xref>). Indeed, the deeper surface mixed layer in the sediment may indicate intensive biological activity (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>). Benthic fauna activities, including respiration, biological pumping, and bioirrigation, can significantly increase the TOU of coastal sediment (<xref ref-type="bibr" rid="B27">Glud et&#xa0;al., 2003</xref>; <xref ref-type="bibr" rid="B26">Glud, 2008</xref>). It can also result from increased reoxidation of reduced products from anaerobic respiration mediated by microbes, which can enhance the benthic O<sub>2</sub> uptake (<xref ref-type="bibr" rid="B42">Kristensen and Alongi, 2006</xref>; <xref ref-type="bibr" rid="B41">Kim et&#xa0;al., 2020b</xref>). Severe hypoxia has led to significant mass mortality and delayed recolonization of benthic species during the JB summer (<xref ref-type="bibr" rid="B55">Lim et&#xa0;al., 2006</xref>). However, the benthic community recovers from summer hypoxia and continues to do so until the following spring. Therefore, fauna activities associated with benthic O<sub>2</sub> uptake in the JB sediment during winter play an important role in the biogeochemical functioning of the benthic habitat.</p>
</sec>
<sec id="s4_2">
<label>4.2</label>
<title>Mass budget of sedimentary organic carbon</title>
<p>To elaborate on the driving factors affecting particulate OC in the JB sediments, we estimated the OC mass budget at each station (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7</bold>
</xref>). Assuming a steady state, the OC mass budget in the surface sediment layer equalizes input with outputs according to the following equation (<xref ref-type="bibr" rid="B56">Martens and Klump, 1984</xref>):</p>
<fig id="f7" position="float">
<label>Figure&#xa0;7</label>
<caption>
<p>Simple organic carbon mass budget at the sampling sites. PP; primary production, OC<sub>lat+bio</sub>; latertal transport of OC and biodeposition, OC<sub>in</sub>; input flux of OC, OC<sub>ox</sub>; oxidation of OC, OC<sub>burial</sub>; burial flux of OC.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-11-1521036-g007.tif"/>
</fig>
<disp-formula>
<mml:math display="block" id="M5">
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mtext>OC</mml:mtext>
</mml:mrow>
<mml:mrow>
<mml:mtext>in</mml:mtext>
</mml:mrow>
</mml:msub>
<mml:mo>=</mml:mo>
<mml:msub>
<mml:mrow>
<mml:mtext>OC</mml:mtext>
</mml:mrow>
<mml:mrow>
<mml:mtext>ox</mml:mtext>
</mml:mrow>
</mml:msub>
<mml:mo>+</mml:mo>
<mml:msub>
<mml:mrow>
<mml:mtext>OC</mml:mtext>
</mml:mrow>
<mml:mrow>
<mml:mtext>burial</mml:mtext>
</mml:mrow>
</mml:msub>
</mml:mrow>
</mml:math>
</disp-formula>
<p>where OC<sub>in</sub> is the input flux of OC into sediment from the water column, OC<sub>ox</sub> is the flux of oxidation of OC in the sediment, and OC<sub>burial</sub> is the burial flux of OC into the deep sediment layer. Lateral transport and biodeposition are the dominant input fluxes of OC in JB (<xref ref-type="bibr" rid="B50">Lee et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B30">Hyun et&#xa0;al., 2013</xref>). To facilitate the calculation of OC mass budget, the OC produced by primary production (PP) is assumed to be deposited onto surface sediment in shallow water. Therefore, the difference between OC<sub>in</sub> and PP can be represented as the sum of lateral transport of OC and/or biodeposition from aquaculture activities (OC<sub>lat+bio</sub>). Thus, the net of OC<sub>in</sub> and PP may equate to the combined ambient lateral transport of OC and biodeposition (OC<sub>lat+bio</sub>). The PP rate in the JB water column has been estimated to be 9.2 mmol C m<sup>&#x2013;2</sup> d<sup>&#x2013;1</sup> (<xref ref-type="bibr" rid="B58">NIFS, 2023</xref>). The OC<sub>lat+bio</sub> ranged from 36.3 to 42.9 mmol C m<sup>&#x2013;2</sup> d<sup>&#x2013;1</sup> (average 40.0 &#xb1; 3.38 mmol C m<sup>&#x2013;2</sup> d<sup>&#x2013;1</sup>), which is significantly higher than the PP in the water column. In JB, the aquaculture sector is mainly in the inner bay area and accounts for almost two-thirds of the commercial oyster and ascidian aquaculture in Korea (<ext-link ext-link-type="uri" xlink:href="http://www.foc.re.kr">http://www.foc.re.kr</ext-link>). The aquaculture of filter-feeding shellfish (ex., oyster, mussel, and clam) and ascidian (<italic>S. clava</italic>) generates massive biodeposit volumes composed of pseudo-feces and feces that are enriched with organic content (<xref ref-type="bibr" rid="B23">Fiala-M&#xe9;dioni, 1974</xref>; <xref ref-type="bibr" rid="B9">Callier et&#xa0;al., 2006</xref>; <xref ref-type="bibr" rid="B57">Mitchell, 2006</xref>; <xref ref-type="bibr" rid="B68">Xia et&#xa0;al., 2019</xref>). In addition, the long-lines, net cages, and aquaculture infrastructure can change the hydrologic system and encourage the deposition of OC surrounding an aquaculture farm (<xref ref-type="bibr" rid="B51">Lee et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B39">Kim et&#xa0;al., 2020a</xref>). High contributions of biodeposits to OC<sub>in</sub> mainly occur in and around sea squirt farms (<xref ref-type="bibr" rid="B50">Lee et&#xa0;al., 2012</xref>), mussel farms (<xref ref-type="bibr" rid="B72">Z&#xfa;&#xf1;iga et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B44">Lacoste et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B45">2022</xref>), oyster&#x2013;seaweed farms (<xref ref-type="bibr" rid="B68">Xia et&#xa0;al., 2019</xref>), and scallop farms (<xref ref-type="bibr" rid="B71">Zhou et&#xa0;al., 2006</xref>). Thus, massive biodeposits from oyster aquaculture seem to be the dominant source of OC<sub>in</sub> in JB (<xref ref-type="bibr" rid="B51">Lee et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B30">Hyun et&#xa0;al., 2013</xref>).</p>
<p>The vertical fluxes collected by the sediment trap in coastal waters may be influenced by the resuspension of bottom sediments. The calculated Max<sub>sed</sub> ranged from 0.42 cm y<sup>&#x2013;1</sup> to 2.1 cm y<sup>&#x2013;1</sup>, which is approximately 2 to 3 times higher than the estimated SR from the excess <sup>210</sup>Pb profiles, except for St.2, where it is 16 times higher. Considering the uncertainties of the sediment trap (<xref ref-type="bibr" rid="B62">Reimers and Suess, 1983</xref>), we believe that our assessment of the influence of resuspension and/or biodeposition on OC<sub>in</sub> is valid.</p>
<p>OC<sub>burial</sub> into the deep sediment layer were calculated using the SR and the mean organic carbon content (largely constant) of the lower layer (&gt; 30 cm) by applying the equation:</p>
<disp-formula>
<mml:math display="block" id="M6">
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mtext>OC</mml:mtext>
</mml:mrow>
<mml:mrow>
<mml:mtext>burial</mml:mtext>
</mml:mrow>
</mml:msub>
<mml:mo>=</mml:mo>
<mml:mtext>SR</mml:mtext>
<mml:mtext>&#x3c1;</mml:mtext>
<mml:mo stretchy="false">(</mml:mo>
<mml:mn>1</mml:mn>
<mml:mo>&#x2212;</mml:mo>
<mml:mtext>&#x3d5;</mml:mtext>
<mml:mo stretchy="false">)</mml:mo>
<mml:msub>
<mml:mrow>
<mml:mtext>OC</mml:mtext>
</mml:mrow>
<mml:mi>&#x221e;</mml:mi>
</mml:msub>
</mml:mrow>
</mml:math>
</disp-formula>
<p>where SR is the sedimentation rate estimated from the excess <sup>210</sup>Pb activity (cm y<sup>&#x2013;1</sup>), &#x3c1; is the dry bulk density of the sediment, assumed to be 2.45 g cm<sup>&#x2013;3</sup> (<xref ref-type="bibr" rid="B40">Kim et&#xa0;al., 2021</xref>), &#x3d5; is the porosity, and OC<sub>&#x221e;</sub> is the mean organic carbon content below the mixed layer (mmol C g<sup>&#x2013;1</sup>). The burial fluxes of OC in the JB sediment ranged from 3.96 &#xb1; 1.00 to 7.17 &#xb1; 1.64 mmol C m<sup>&#x2013;2</sup> d<sup>&#x2013;1</sup> (average 5.91 &#xb1; 1.37 mmol C m<sup>&#x2013;2</sup> d<sup>&#x2013;1</sup>) (<xref ref-type="table" rid="T3">
<bold>Table 3</bold>
</xref>). Burial efficiencies, which were calculated as OC<sub>burial</sub>/OC<sub>in</sub> &#xd7; 100, ranged from 4.25% to 15.8% (<xref ref-type="table" rid="T3">
<bold>Table 3</bold>
</xref>), which is similar to, or higher than, previous results from a finfish cage farm (3.3%, <xref ref-type="bibr" rid="B66">Sim et&#xa0;al., 2023</xref>; 6&#x2013;8%, <xref ref-type="bibr" rid="B40">Kim et&#xa0;al., 2021</xref>), a sea squirt farm (3.77%, <xref ref-type="bibr" rid="B50">Lee et&#xa0;al., 2012</xref>), and an oyster farm (6&#x2013;10%, <xref ref-type="bibr" rid="B40">Kim et&#xa0;al., 2021</xref>). The findings indicate that a significant portion of the deposited OC was mineralized within the surface sediment layer.</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Sedimentation rates (SR), vertical fluxes of total mass (TM), organic carbon (OC<sub>in</sub>), and nitrogen (Nin) for using trap, primary production (PP), organic carbon lateral flux and biodeposits (OC<sub>lat+bio</sub>), oxidation flux (OC<sub>ox</sub>), burial flux (OC<sub>burial</sub>), and burial efficiency.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" rowspan="2" align="left"/>
<th valign="top" align="center">SR</th>
<th valign="top" align="center">TM</th>
<th valign="top" align="center">OC<sub>in</sub>
</th>
<th valign="top" align="center">N<sub>in</sub>
</th>
<th valign="top" align="center">PP</th>
<th valign="top" align="center">OC<sub>lat+bio</sub>
</th>
<th valign="top" align="center">OC<sub>ox</sub>
</th>
<th valign="top" align="center">OC<sub>burial</sub>
</th>
<th valign="top" align="center">
<sup>a</sup>Burialefficiency</th>
</tr>
<tr>
<th valign="top" align="center">(cm y<sup>-1</sup>)</th>
<th valign="top" align="center">(g m<sup>&#x2013;2</sup> d<sup>&#x2013;1</sup>)</th>
<th valign="top" colspan="6" align="center">(mmol m<sup>&#x2013;2</sup> d<sup>&#x2013;1</sup>)</th>
<th valign="top" align="center">(%)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">St.1</td>
<td valign="top" align="center">0.33 &#xb1; 0.03</td>
<td valign="top" align="center">14.3 &#xb1; 2.90</td>
<td valign="top" align="center">52.1 &#xb1; 15.0</td>
<td valign="top" align="center">4.8 &#xb1; 1.2</td>
<td valign="top" align="center">9.2</td>
<td valign="top" align="center">42.9</td>
<td valign="top" align="center">35.2 &#xb1; 0.52</td>
<td valign="top" align="center">6.33 &#xb1; 0.78</td>
<td valign="top" align="center">12.2</td>
</tr>
<tr>
<td valign="top" align="left">St.2</td>
<td valign="top" align="center">0.13 &#xb1; 0.03</td>
<td valign="top" align="center">27.4 &#xb1; 5.90</td>
<td valign="top" align="center">93.0 &#xb1; 25.3</td>
<td valign="top" align="center">9.3 &#xb1; 3.9</td>
<td valign="top" align="center">9.2</td>
<td valign="top" align="center">83.8</td>
<td valign="top" align="center">29.5 &#xb1; 2.63</td>
<td valign="top" align="center">3.96 &#xb1; 1.00</td>
<td valign="top" align="center">4.25</td>
</tr>
<tr>
<td valign="top" align="left">St.3</td>
<td valign="top" align="center">0.27 &#xb1; 0.06</td>
<td valign="top" align="center">7.10 &#xb1; 0.80</td>
<td valign="top" align="center">45.5 &#xb1; 7.00</td>
<td valign="top" align="center">4.5 &#xb1; 0.5</td>
<td valign="top" align="center">9.2</td>
<td valign="top" align="center">36.3</td>
<td valign="top" align="center">38.1 &#xb1; 4.59</td>
<td valign="top" align="center">7.17 &#xb1; 1.64</td>
<td valign="top" align="center">15.8</td>
</tr>
<tr>
<td valign="top" align="left">St.4</td>
<td valign="top" align="center">0.17 &#xb1; 0.07</td>
<td valign="top" align="center">7.20 &#xb1; 0.50</td>
<td valign="top" align="center">50.1 &#xb1; 5.10</td>
<td valign="top" align="center">4.8 &#xb1; 0.5</td>
<td valign="top" align="center">9.2</td>
<td valign="top" align="center">40.9</td>
<td valign="top" align="center">34.5 &#xb1; 3.75</td>
<td valign="top" align="center">6.16 &#xb1; 2.79</td>
<td valign="top" align="center">12.3</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>a. Burial efficiency = OC<sub>burial</sub>/OC<sub>in</sub> x 100.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>The sum of OC<sub>ox</sub> and OC<sub>burial</sub> in JB was lower than the vertical flux of OC, which implies that OC is being transported through resuspension and deposited elsewhere. For example, OC released from aquaculture sediment can be transported and deposited over distances of tens to hundreds of meters through processes such as deposition and lateral transport (<xref ref-type="bibr" rid="B31">Hatcher et&#xa0;al., 1994</xref>; <xref ref-type="bibr" rid="B40">Kim et&#xa0;al., 2021</xref>). This laterally transported OC can also contribute to the vertical flux, influencing sedimentary OC dynamics in adjacent ecosystems (<xref ref-type="bibr" rid="B39">Kim et&#xa0;al., 2020a</xref>). The tidal current velocity in the study area was less than 10 cm s<sup>&#x2013;1</sup>, which is below the threshold current velocity (15&#x2013;20 cm s<sup>&#x2013;1</sup>) required to lateral transport according to resuspended biodeposits (i.e., feces and pseudo-feces) (<xref ref-type="bibr" rid="B67">Widdows et&#xa0;al., 1998</xref>). However, a tentative threshold current velocity for reworking muds on the seabed in JB may be around 10 cm s<sup>&#x2013;1</sup> at 1 m above the seabed (<xref ref-type="bibr" rid="B53">Lee et&#xa0;al., 2006</xref>). In addition, JB has numerous small islands, prominent coasts, and a swiftly shifting sea floor topography, and thus, topography and ocean currents combine to create small-scale eddy circulation (<xref ref-type="bibr" rid="B38">Kim et&#xa0;al., 2024</xref>). Therefore, we suggest that the source and physico-chemical processes of OC in the sediment are likely to have affected the calculated OC mass balance and should be further investigated to understand their potential consequences.</p>
</sec>
<sec id="s4_3">
<label>4.3</label>
<title>Benthic nutrient release and benthic&#x2013;pelagic coupling</title>
<p>The fluxes of dissolved inorganic nitrogen (DIN, NH<sub>4</sub>
<sup>+</sup> + NO<sub>x</sub>; 1.11&#x2013;2.03 mmol N m<sup>&#x2013;2</sup> d<sup>&#x2013;1</sup>) and dissolved inorganic phosphate (DIP, PO<sub>4</sub>
<sup>3&#x2013;</sup>; 0.02&#x2013;0.05 mmol P m<sup>&#x2013;2</sup> d<sup>&#x2013;1</sup>) measured in JB were comparable with, or lower than, previous winter-time measurements at an oyster farm (5.74 mmol N m<sup>&#x2013;2</sup> d<sup>&#x2013;1</sup> and 0.32&#xa0;mmol P m<sup>&#x2013;2</sup> d<sup>&#x2013;1</sup>, <xref ref-type="bibr" rid="B51">Lee et&#xa0;al., 2011</xref>; 1.3 mmol N m<sup>&#x2013;2</sup> d<sup>&#x2013;1</sup> and0.05 mmol P m<sup>&#x2013;2</sup> d<sup>&#x2013;1</sup>, <xref ref-type="bibr" rid="B30">Hyun et&#xa0;al., 2013</xref>; 8.95 mmol N m<sup>&#x2013;2</sup> d<sup>&#x2013;1</sup> and 0.51 mmol P m<sup>&#x2013;2</sup> d<sup>&#x2013;1</sup>, <xref ref-type="bibr" rid="B40">Kim et&#xa0;al., 2021</xref>), a sea squirt farm (0.92 mmol N m<sup>&#x2013;2</sup> d<sup>&#x2013;1</sup>; <xref ref-type="bibr" rid="B51">Lee et&#xa0;al., 2011</xref>), and a finfish farm (1.41 mmol N m<sup>&#x2013;2</sup> d<sup>&#x2013;1</sup> and 1.77 mmol P m<sup>&#x2013;2</sup> d<sup>&#x2013;1</sup>; <xref ref-type="bibr" rid="B15">Choi et&#xa0;al., 2020</xref>; 5.45 mmol N m<sup>&#x2013;2</sup> d<sup>&#x2013;1</sup> and 1.67 mmol P m<sup>&#x2013;2</sup> d<sup>&#x2013;1</sup>; <xref ref-type="bibr" rid="B40">Kim et&#xa0;al., 2021</xref>). In shallow coastal waters, DIN and DIP released from sediment can be an important source supporting primary production in the water column via benthic&#x2013;pelagic coupling (<xref ref-type="bibr" rid="B22">Ferr&#xf3;n et&#xa0;al., 2009</xref>; <xref ref-type="bibr" rid="B50">Lee et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B20">Dixon et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B15">Choi et&#xa0;al., 2020</xref>). We calculated the potential contribution of benthic nutrients fluxes for primary production using the Redfield ratio (C:N:P = 106:16:1) and compared these with the apparent DIN and DIP demand for primary production of 1.39 mmol m<sup>&#x2013;2</sup> d<sup>&#x2013;1</sup> and 0.09 mmol m<sup>&#x2013;2</sup> d<sup>&#x2013;1</sup>, respectively (<xref ref-type="table" rid="T4">
<bold>Table 4</bold>
</xref>). In the present study, the DIN and DIP fluxes from sediment accounted for 82.1 to 149% and 23.1 to 57.6% of N and P primary production demand (<xref ref-type="table" rid="T4">
<bold>Table 4</bold>
</xref>). In November, benthic DIN and DIP could support 29 to 152% and 0 to 137%, respectively, of primary production at sea squirt and oyster farms in JB and Tongyeong (<xref ref-type="bibr" rid="B51">Lee et&#xa0;al., 2011</xref>). In December, benthic DIN and DIP release 23 to 270% and 40 to 804%, respectively, of the primary production demand at finfish and oyster farms and reference sites in the inner part of Geoje-Tongyeong coastal area (<xref ref-type="bibr" rid="B40">Kim et&#xa0;al., 2021</xref>). These results indicate the importance of benthic nutrient regeneration in maintaining primary production in JB.</p>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>Nutrient demand for primary production (PP) in the water column, benthic nutrient fluxes, and contribution of benthic nutrient fluxes to primary production.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" rowspan="3" align="left">Sites</th>
<th valign="top" colspan="2" align="center">Nutrient demand for PP<sup>1</sup>
</th>
<th valign="top" colspan="2" align="center">Benthic nutrient flux</th>
<th valign="top" colspan="2" align="center">Contribution of BNFs to PP</th>
</tr>
<tr>
<th valign="top" colspan="2" align="center">(mmol m<sup>-2</sup> d<sup>-1</sup>)</th>
<th valign="top" colspan="2" align="center">(mmol m<sup>-2</sup> d<sup>-1</sup>)</th>
<th valign="top" colspan="2" align="center">%</th>
</tr>
<tr>
<th valign="top" align="center">DIN</th>
<th valign="top" align="center">DIP</th>
<th valign="top" align="center">DIN</th>
<th valign="top" align="center">DIP</th>
<th valign="top" align="center">DIN</th>
<th valign="top" align="center">DIP</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">St.1</td>
<td valign="top" rowspan="4" align="center">1.39</td>
<td valign="top" rowspan="4" align="center">0.09</td>
<td valign="top" align="center">1.14</td>
<td valign="top" align="center">0.05</td>
<td valign="top" align="center">82.1</td>
<td valign="top" align="center">57.6</td>
</tr>
<tr>
<td valign="top" align="left">St.2</td>
<td valign="top" align="center">2.07</td>
<td valign="top" align="center">0.05</td>
<td valign="top" align="center">149</td>
<td valign="top" align="center">57.6</td>
</tr>
<tr>
<td valign="top" align="left">St.3</td>
<td valign="top" align="center">1.50</td>
<td valign="top" align="center">0.05</td>
<td valign="top" align="center">108</td>
<td valign="top" align="center">57.6</td>
</tr>
<tr>
<td valign="top" align="left">St.4</td>
<td valign="top" align="center">1.90</td>
<td valign="top" align="center">0.02</td>
<td valign="top" align="center">137</td>
<td valign="top" align="center">23.1</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>
<sup>1</sup> Calculated from the PP data from NIFS (2023) based on Redfield&#x2019;s ratio of C:N:P = 106:16:1.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec id="s5" sec-type="conclusions">
<label>5</label>
<title>Conclusion</title>
<p>JB is known for the eutrophicated region that surrounds urban and offshore aquaculture activities. The presumed accumulation of organic matter in the bottom sediments causes anoxic water masses to form periodically, causing mass mortality among marine life. The periods of anoxic water mass formation are gradually increasing. However, the biogeochemical cycling of OC in the sediment boundary layer is still poorly understood. Therefore, estimation of the OC mass balance in the sediment surface layer is essential for understanding the benthic environment. This study is the first to report <italic>in situ</italic> measurements of benthic respiration and BNF, along with sedimentary OC burial rates, in OC-enriched sediment within JB. The benthic OC oxidation rate did not show spatial differences, and the ratio of TOU/DOU suggested that fauna activities may be a key factor in benthic respiration in JB sediment. The vertical flux of OC suggested that the input of organic matter associated with biodeposition is likely driven by aquaculture activities. Burial fluxes of OC ranged from 3.96 &#xb1; 1.00 to 7.17 &#xb1; 1.64 mmol C m<sup>&#x2013;2</sup> d<sup>&#x2013;1</sup> in JB sediment. Burial efficiencies were estimated to range from 4.25% to 15.8%, similar to other coastal waters, implying that OC oxidation in the surface sediment may significantly contribute to the biogeochemical OC cycles. The N and P needs of pelagic primary productivity are predominantly sustained by the benthic flux. This implies that BNFs serve as a noteworthy source for primary productivity in JB, suggesting that JB may have tight benthic&#x2013;pelagic coupling.</p>
</sec>
</body>
<back>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/supplementary material. Further inquiries can be directed to the corresponding author.</p>
</sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>S-UA: Conceptualization, Investigation, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. K-TK: Conceptualization, Writing &#x2013; review &amp; editing. S-HK: Investigation, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. J-WB: Investigation, Writing &#x2013; review &amp; editing. H-JJ: Investigation, Writing &#x2013; review &amp; editing. C-IS: Investigation, Writing &#x2013; review &amp; editing. JC: Visualization, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. SH: Visualization, Writing &#x2013; review &amp; editing. DL: Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. JL: Conceptualization, Investigation, Supervision, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing.</p>
</sec>
<sec id="s8" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This work was supported by the Korea Institute of Ocean Science and Technology (PEA0053) and the National Institute of Fisheries Science (R2025043).</p>
</sec>
<sec id="s9" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>Author C-IS was employed by Korea Marine Environment Management Corporation.</p>
<p>The remaining 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.</p>
</sec>
<sec id="s10" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was used in the creation of this manuscript.</p>
</sec>
<sec id="s11" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>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.</p>
</sec>
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