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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.2023.1068916</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>Macrofauna community of the cold seep area at Site F, South China Sea</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Haining</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1472686"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Xiaocheng</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1995447"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Cao</surname>
<given-names>Lei</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhong</surname>
<given-names>Zhaoshan</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/569312"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Luan</surname>
<given-names>Zhendong</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Li</surname>
<given-names>Chaolun</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="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/785713"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese, Academy of Sciences</institution>, <addr-line>Qingdao</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>National Marine Environmental Monitoring Center</institution>, <addr-line>Dalian</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Deep Sea Research Center, Institute of Oceanology, Chinese Academy of Sciences</institution>, <addr-line>Qingdao</addr-line>, <country>China</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Center for Ocean Mega-Science, Chinese Academy of Sciences</institution>, <addr-line>Qingdao</addr-line>, <country>China</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Key Laboratory of Marine Geology and Environment, Institute of Oceanology, Chinese Academy of Sciences</institution>, <addr-line>Qingdao</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Elva G. Escobar-Briones, National Autonomous University of Mexico, Mexico</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Zhilei Sun, Qingdao Institute of Marine Geology (QIMG), China; Xiaoshou Liu, Ocean University of China, China</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Chaolun Li, <email xlink:href="mailto:lcl@qdio.ac.cn">lcl@qdio.ac.cn</email>
</p>
</fn>
<fn fn-type="other" id="fn002">
<p>This article was submitted to Deep-Sea Environments and Ecology, a section of the journal Frontiers in Marine Science</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>23</day>
<month>01</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>10</volume>
<elocation-id>1068916</elocation-id>
<history>
<date date-type="received">
<day>13</day>
<month>10</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>09</day>
<month>01</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2023 Wang, Wang, Cao, Zhong, Luan and Li</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Wang, Wang, Cao, Zhong, Luan and Li</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>A cold seep is one of the typical deep-sea chemical energy ecosystems and a hotspot for studying unique life processes and biogeochemical cycles in the deep sea. Macrofauna, which is one of the most important components of the cold seep ecosystem, has not been thoroughly studied. We examined the macrofauna community at Site F using images collected in 2016 by an imaging and laser profiling system and biological samples collected in 2020 and 2021 by TV grab and a remotely operated vehicle. In total, 41 species were found. The overall number of macrofauna identified at Site F (20,000 m<sup>2</sup>) reached 252,943 individuals, and the biomass reached 726.15&#xa0;kg by dry weight. As the dominant species, <italic>Gigantidas platifrons</italic> and <italic>Shinkaia crosnieri</italic> reached their highest densities of 629 and 396 individuals/m<sup>2</sup>, respectively. The comparisons between different stations revealed that the diversity and density, even the biomass of dominant species, were much higher in the south than in the north at Site F in 2020. Correlation analysis showed that methane had a positive effect on macrofauna density. Compared with <italic>S. crosnieri</italic>, <italic>G. platifrons</italic> seems to be more adapted to the harsh cold seep environment. Methane consumption rates of the dominant species show that macrofauna are important in influencing seafloor methane fluxes. Our findings provide valuable insights into the ecology, community structure, and biota-environment interaction in the cold seep at Site F.</p>
</abstract>
<kwd-group>
<kwd>macrofauna</kwd>
<kwd>cold seep</kwd>
<kwd>density</kwd>
<kwd>body length</kwd>
<kwd>distribution</kwd>
<kwd>methane consumption</kwd>
</kwd-group>
<counts>
<fig-count count="7"/>
<table-count count="1"/>
<equation-count count="2"/>
<ref-count count="50"/>
<page-count count="11"/>
<word-count count="5437"/>
</counts>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Cold seeps are environments where emissions of methane, sulfide, or other reduced chemicals occur from the seafloor at near-ambient temperatures (<xref ref-type="bibr" rid="B43">Vanreusel et&#xa0;al., 2009</xref>; <xref ref-type="bibr" rid="B25">Levin et&#xa0;al., 2016</xref>). They are commonly called &#x201c;oases&#x201d; because they contain a large number of symbiont-bearing invertebrates (<xref ref-type="bibr" rid="B23">Laubier, 1993</xref>; <xref ref-type="bibr" rid="B9">Carney, 1994</xref>). These invertebrate communities are found at seeps on active and passive continental margins throughout the world&#x2019;s oceans (<xref ref-type="bibr" rid="B42">Sibuet and Olu, 1998</xref>; <xref ref-type="bibr" rid="B12">Cordes et&#xa0;al., 2009</xref>). In general, seeps that support many chemosynthetic organisms (<xref ref-type="bibr" rid="B24">Levin, 2005</xref>; <xref ref-type="bibr" rid="B13">Cordes et&#xa0;al., 2010</xref>), such as symbiont-containing bathymodiolin mussels or vestimentiferan tubeworms, often host communities with high abundances and biomass but low diversity compared to surrounding non-seep habitats (<xref ref-type="bibr" rid="B34">Menot et&#xa0;al., 2010</xref>). Meanwhile, some non-symbiotic macrobenthos and vagrants are also attracted by the cold seeps because of their high food availability and habitat heterogeneity (<xref ref-type="bibr" rid="B25">Levin et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B50">Zhao et&#xa0;al., 2020</xref>). The macrofauna inhabiting cold seeps are distinct from those in other areas of the deep sea, and so they should be recognized as a distinct component of biodiversity and protected  (<xref ref-type="bibr" rid="B25">Levin et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B1">Amon et&#xa0;al., 2017</xref>). As one of the most investigated components of the cold seep ecosystem, macrofauna have great ecological importance and obvious significance. Some of them are considered ecosystem engineers because they influence the sediment environment by providing physical structure and modulating geochemistry through oxygenation (pumping) and ion uptake activities (<xref ref-type="bibr" rid="B24">Levin, 2005</xref>). However, these macrofauna have not been thoroughly studied, and little is known about their numbers, habitats, and relationships with surrounding environments. As a critical tool for promoting sustainable management of marine resources, habitat mapping of these macrofauna at seeps plays an important role (<xref ref-type="bibr" rid="B11">Cochrane and Lafferty, 2002</xref>; <xref ref-type="bibr" rid="B16">Degraer et&#xa0;al., 2008</xref>). Therefore, it is essential to comprehensively describe the species, density, biomass, and so on of macrofauna at cold seeps. However, because of the high heterogeneity of cold seeps, it is difficult to obtain complete information in a traditional way (<xref ref-type="bibr" rid="B26">Levin et&#xa0;al., 2000</xref>; <xref ref-type="bibr" rid="B44">Wang et&#xa0;al., 2021</xref>). With the development of camera and video technologies, imaging technologies have become the obvious method to characterize these communities and have proven helpful in dense habitats (<xref ref-type="bibr" rid="B39">Sen et&#xa0;al., 2016</xref>).</p>
<p>The Formosa Ridge is located on the northern continental margin of the South China Sea, offshore of southwestern Taiwan (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>). Exposed gas hydrates on the seafloor were found in this area (<xref ref-type="bibr" rid="B48">Zhang et&#xa0;al., 2017</xref>). Site F, located on the Formosa Ridge, was first recognized as an active cold seep in 2007 (<xref ref-type="bibr" rid="B31">Lin et&#xa0;al., 2007</xref>). Previous studies have focused on geological and biogeochemical backgrounds (<xref ref-type="bibr" rid="B18">Feng et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B48">Zhang et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B45">Wang et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B8">Cao et&#xa0;al., 2021</xref>), where epifauna were collected and identified (<xref ref-type="bibr" rid="B29">Li, 2015</xref>; <xref ref-type="bibr" rid="B30">Li, 2017</xref>; <xref ref-type="bibr" rid="B50">Zhao et&#xa0;al., 2020</xref>). For example, <xref ref-type="bibr" rid="B8">Cao et&#xa0;al. (2021)</xref> identified the chemical gradients (mainly methane and oxygen) from the flourishing center to the periphery of Site F. However, there have been fewer studies on spatial distribution and density until a transect survey was conducted by a remotely operated vehicle (ROV) in 2018 (<xref ref-type="bibr" rid="B50">Zhao et&#xa0;al., 2020</xref>). This study showed the highest densities of dominant species such as <italic>G. platifrons</italic> and <italic>S. crosnieri</italic> could reach 273 and 300 individuals/m<sup>2</sup>, respectively. The similarity between the macrobenthos in the South China Sea cold seeps and the Okinawa Trough hydrothermal vents indicated a high degree of connectivity. Despite this, the total quantity, biomass, and distribution of macrofauna, in addition to the interaction between the environment and biota at the entire Site F are not well documented. Otherwise, few studies have systematically and exhaustively examined the macrofauna community at cold seeps. For example, quantitative mosaics and videos collected by laser line-scan, multibeam backscatter, and bathymetry, together with video records and other methods, were used to map the habitats and species distributions of cold seeps because of the high habitat heterogeneity (<xref ref-type="bibr" rid="B32">MacDonald et&#xa0;al., 2003</xref>; <xref ref-type="bibr" rid="B39">Sen et&#xa0;al., 2016</xref>). <xref ref-type="bibr" rid="B2">Astrom et&#xa0;al. (2018)</xref> used photographs to examine the diversity, abundance, and biomass of infaunal communities at high-Arctic cold seeps. Alternatively, seafloor images were also used by <xref ref-type="bibr" rid="B41">Sen et&#xa0;al. (2019)</xref> to compare the megafauna community between seep and non-seep background sites at the Svanefjell seep. However, it is still a challenge to completely describe the biodiversity, spatial distribution, and interannual variation of cold seep macrofauna communities.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Location of the cold seep sites surveyed at Formosa ridge. Topographic map shows the tectonic features. The study area is delimited by the red dot.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-10-1068916-g001.tif"/>
</fig>
<p>Because the understanding of biomass, spatial distribution, and the controlled factors of macrofauna is the basis for further understanding the cold seep ecosystem, we examined macrofauna communities at Site F through analyses of images and biological samples in 2016, 2020, and 2021. An imaging and laser profiling system was used to collect images, and a TV grab and an ROV were used to collect biological samples . Our goal was to show the density, biomass, and distribution of macrofauna throughout the site to the greatest degree possible. This will be truly helpful for understanding the community structure of Site F. The length-weight relationships and distribution of body length for the dominant species <italic>G. platifrons</italic> and <italic>S. crosnieri</italic> are useful in comparing the growth of these two species in different areas and at different times. Geochemical measurements were used to gain an understanding of how abiotic features relate to the macrofauna communities.</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>Image collection and analysis</title>
<p>The R.V. <italic>Kexue</italic> conducted a photographic survey of the Formosa Ridge during a research cruise in 2016 .  <italic>Faxian</italic>, an ROV equipped with an L1000 imaging and laser profiling system which was designed and supplied by Cathx Ocean Ltd., was used to obtain all images. This system was equipped with a still camera, two LED lights with outputs of 7,000 and 28,000 lumens, and two green line lasers. All original images associated with geographic coordinates were captured at a rate of nine frames per second. The mosaic was pieced together using these coordinates and the same object identifier in adjacent images (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>) (<xref ref-type="bibr" rid="B46">Wang et&#xa0;al., 2019</xref>). PTGui software was used for the initial splice, and Adobe Photoshop was used for the subsequent image optimization. Then, for statistical convenience, the mosaic was divided uniformly by 200 x 200 tiles (19,516 small pictures with an area of about 1 m<sup>2</sup>, except the blank). All visible macrofauna in the mosaic were counted and identified to the lowest taxonomic level possible. To compare the spatial distribution and density of macrofauna, the whole cold seep area was divided into a 10&#xa0;m by 10&#xa0;m grid. Geographic information and the density of macrofauna in each grid were used to perform cluster analysis to verify the similar occurrence of macrofauna. Meanwhile, a non-metric multidimensional scaling (NMDS) approach was used to compare the similarity between different groups. All these analyses were performed using Primer v.6. To calculate the mean body length in each grid, 20 to 50 individuals of the dominant species (<italic>G. platifrons</italic> and <italic>S</italic>. <italic>crosnieri</italic>) were chosen at random.</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Mosaic (20,000 m<sup>2</sup>) of the seep community at Site F cold seep in 2016; two high-resolution images used to identify macrofauna are shown in the inset. The outline represents the area where images were obtained.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-10-1068916-g002.tif"/>
</fig>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Sample collection and environmental detections</title>
<p>To compare the spatial difference and interannual variation of macrofauna (compared to the 2016 data, mainly from the south and north of Site F), TV grab operations (including GA, GB, and GC monitored twice at each station) were taken by the R.V. <italic>Kexue</italic> at Site F in 2020. All macrofauna collected by TV grab were counted. The Shannon&#x2013;Weiner index was calculated to compare the species diversity at different stations. Meanwhile, environmental factors at each station were also identified. Benthic environmental variables (methane and dissolved oxygen) were measured by the Seabird SBE 43 dissolved oxygen sensor (DO) (Sea-Bird Electronics, Inc., Washington, USA) and the CONTROS HydroC<sup>&#xae;</sup> CH<sub>4</sub> sensor (Kongsberg Gruppen, Norway) installed in the ROV tool sled (<xref ref-type="bibr" rid="B8">Cao et&#xa0;al., 2021</xref>). The manipulator arm performed every <italic>in situ</italic> detection as it approached the target sites. Pearson correlation analysis was used to identify correlations between environmental factors (methane and DO) and the dominant species.</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Biomass measurement</title>
<p>The body length and weight (wet and dry) of <italic>G. platifrons</italic> and <italic>S. crosnieri</italic> were measured in 50 specimens, respectively, to model the relationship between length and weight. Dry weights were measured after at least 48 hours in a freeze dryer. For <italic>G. platifrons</italic>, the dry weight was calculated only after the shell was removed. For <italic>S. crosnieri</italic>, the shell length of the head and the whole-body length were all recorded. Because of the inconvenient measurement, the whole-body length appears worse in modeling. So, the shell lengths of the head were used as the body length of <italic>S. crosnieri</italic>. These data were used to model the following standard equation:</p>
<disp-formula>
<mml:math display="block" id="M1">
<mml:mrow>
<mml:mi>W</mml:mi>
<mml:mo>=</mml:mo>
<mml:mi>a</mml:mi>
<mml:msup>
<mml:mi>L</mml:mi>
<mml:mi>b</mml:mi>
</mml:msup>
</mml:mrow>
</mml:math>
</disp-formula>
<p>where <italic>W</italic> is the weight (g) and <italic>L</italic> is the body length (or the shell, for <italic>G. platifrons</italic>), measured with a vernier caliper, in mm.</p>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>The methane consumption of the dominant species</title>
<p>To assess the metabolism in the <italic>G. flatirons</italic> community, the relationship between oxygen consumption and body weight of mytilids was determined according to this equation (<xref ref-type="bibr" rid="B21">Khripounoff et&#xa0;al., 2017</xref>):</p>
<disp-formula>
<mml:math display="block" id="M2">
<mml:mrow>
<mml:mi>R</mml:mi>
<mml:mo>=</mml:mo>
<mml:mn>21.2</mml:mn>
<mml:mo>&#xd7;</mml:mo>
<mml:msup>
<mml:mi>W</mml:mi>
<mml:mrow>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>0.19</mml:mn>
</mml:mrow>
</mml:msup>
</mml:mrow>
</mml:math>
</disp-formula>
<p>where <italic>R</italic> is the oxygen consumption, and <italic>W</italic> is the dry body weight of <italic>G. platifrons</italic>. <italic>W</italic> is calculated by the equation given in Section 2.3. <italic>L</italic> is the mean body length of <italic>G. platifrons</italic> measured from the mosaic. The methane consumption of <italic>G. platifrons</italic> was calculated by the relationship in metabolic gas flux (per mol CH<sub>4</sub> consumed, the <italic>G. platifrons</italic> consumed ~1.2 mol O<sub>2</sub>) (<xref ref-type="bibr" rid="B22">Kochevar et&#xa0;al., 1992</xref>). Meanwhile, the mean methane consumption rate (1.98 &#x3bc;mol/h) of <italic>S</italic>. <italic>crosnieri</italic> as estimated by <xref ref-type="bibr" rid="B47">Watsuji et&#xa0;al. (2014)</xref> at 12.0 MPa was used.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<sec id="s3_1">
<label>3.1</label>
<title>Background environments</title>
<p>Methane concentrations at Site F varied quickly and were unstable, ranging from 237.25 ppm to 15,000 ppm with a mean of 4120.88 ppm (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;1</bold>
</xref>). The variation in concentration of dissolved oxygen was relatively smaller, ranging from 2.89 mg/L to 3.16 mg/L with a mean of 3.07 mg/L. The substrates at Site F contained hard (central authigenic carbonates) and soft (peripheral muddy) sea bottoms. Large mussel beds, lobster clusters, and shell debris were found on hard substrates formed by authigenic carbonates (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>). In addition to authigenic carbonates, there was a large, soft argillaceous environment, including reduced sediments and muddy sea bottoms.</p>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Species composition and density</title>
<p>In this survey, 41 species or categories, including Mollusca (12), Porifera (3), Annelida (9), Echinodermata (4), Arthropoda (9), Cnidaria (3), and Vertebrata (1) were found in the mosaic and TV grabs. There were 34 taxa identified as species or genera, and others were the higher taxa (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;2</bold>
</xref>). There were 17 categories collected or identified through this method, including Cnidaria (<italic>Anthomastus</italic> sp., <italic>Caryophyllia</italic> sp., and <italic>Alvinactis</italic> sp.), Mollusca (<italic>Conchocele bisecta</italic>, <italic>Solemya</italic> sp., <italic>Enigmaticolus inflatus</italic> sp. nov., cf. <italic>Abyssochrysos</italic> sp., and <italic>Chaetoderma</italic> sp.), Arthropoda (<italic>Lysianassoidea</italic> sp., and <italic>Pleurocryptella fimbriata</italic>), Annelida (<italic>Lepidonotopodium</italic> sp., <italic>Branchinotogluma</italic> sp., <italic>Lamellibrachia</italic> sp., <italic>Glycera</italic> sp., <italic>Nereis</italic> sp., and <italic>Capitellidae</italic> sp.), and Enteropneusta (cf. <italic>Balanoglossus</italic>) . Among them, there were 10 newly recorded species.</p>
<p>The quantity of macrofauna in the whole mosaic (20,000 m<sup>2</sup>) reached as high as 252,943 individuals. <italic>G. platifrons</italic> and <italic>S. crosnieri</italic> were the dominant species at Site F, with 215,339 and 37,422 individuals, respectively. Clustering analysis revealed a 77.5% similarity between the four groups (r = 0.995, P &lt; 0.01) and was used to verify the similarity of macrofauna occurrence in each grid (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3A, B</bold>
</xref>). The densities (individuals/100 m<sup>2</sup>) of Groups 1 through 4 were as follows: Group 1, 3,584&#x2013;17,806; Group 2, 1,075&#x2013;3,108; Group 3, 106&#x2013;815; and Group 4, 0&#x2013;133. According to the spatial distribution of each grid at the cold seep in Site F, we discovered a pattern of patchy distribution of macrofauna in which the most abundant areas (Group 1) were concentrated in the center of the entire site , followed by Groups 2, 3, and 4 (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3C</bold>
</xref>).</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Cluster analysis of different grids from the mosaic. <bold>(A)</bold> Four groups (Groups 1 to 4) had a similarity of 77.5%. <bold>(B)</bold> Multidimensional scaling plots of different groups. <bold>(C)</bold> Spatial distribution of each grid at Site F. The ranges of density (individuals/100 m<sup>2</sup>) of each group are as follows: Group 1, 3584&#x2013;17806; Group 2, 1075&#x2013;3108; Group 3, 106&#x2013;815; and Group 4, 0&#x2013;133.The white triangles represent the TV grab and environmental detection stations. The vent sites are indicated by pentagrams.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-10-1068916-g003.tif"/>
</fig>
<p>The density of macrofauna at Site F was greater than that of the surrounding seabed, especially for dominant species. <italic>G. platifrons</italic> and <italic>S. crosnieri</italic> reached their highest densities of 560 and 396 individuals/m<sup>2</sup>, respectively. Their density distributions in every grid are shown in <xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>. <italic>G. platifrons</italic> mostly covered a large area and had the highest population density in the north, while <italic>S</italic>. <italic>crosnieri</italic> was not widely distributed and had the highest population density in the south (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>). These locations, which had a dense population of the dominant species, possessed visibly active seepages (such as the release of strings of bubbles from the seabed). In contrast, areas without any sign of seepage, such as shell debris and exposed carbonate rocks, had a relatively lower density of the dominant species. In comparison with <italic>G. platifrons</italic> and <italic>S. crosnieri</italic>, the abundance of <italic>Munidopsis</italic> sp. at these locations was not high, with 861 individuals and a maximum density of 45 individuals/m<sup>2</sup>. Other macrofauna densities in the mosaic were considerably lower than those of <italic>G. platifrons</italic> and <italic>S</italic>. <italic>crosnieri</italic>. <italic>Lithodes longispina</italic>, <italic>Ophidiidae</italic> sp., <italic>Benthesicymus</italic> sp., and <italic>Henricia</italic> sp. Populations reached 103, 55, 23, and 19 individuals/m<sup>2</sup>, respectively. In the meantime, the dominant species collected by TV grab in 2020 were counted to calculate the species density (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;1</bold>
</xref>). TV grab collections showed that the highest densities of <italic>G. platifrons</italic>, <italic>Histampica</italic> sp., <italic>Bathyacmaea lactea</italic>, <italic>Phymorhynchus buccinoides</italic>, and <italic>Provanna glabra</italic> reached 629, 28, 56, 17, and 78 individuals/m<sup>2</sup>, respectively. The grabs in three stations showed that <italic>G. platifrons</italic> in GA (356 individuals/m<sup>2</sup>) and GB (336 and 330 individuals/m<sup>2</sup>) were similar in density, while <italic>S</italic>. <italic>crosnieri</italic> in GB (29 and 129 individuals/m<sup>2</sup>) was higher than GA (25 individuals/m<sup>2</sup>). Compared with GA and GB, the densities of <italic>G. platifrons</italic> (289 and 629 individuals/m<sup>2</sup>) and <italic>S</italic>. <italic>crosnieri</italic> (225 and 271 individuals/m<sup>2</sup>) in GC were relatively high. The Shannon&#x2013;Weiner index of GC (1.15) was the highest, followed by GB (0.66) and GA (0.49).</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Density (log base 10) distribution of <bold>(A)</bold> <italic>G. platifrons</italic> and <bold>(B)</bold> <italic>S</italic>. <italic>crosnieri</italic> in every grid. The highest density of these two species reached 15,452 and 6,868 individuals/100 m<sup>2</sup>, respectively.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-10-1068916-g004.tif"/>
</fig>
<p>To assess the biomass of the dominant species, we calculated its wet and dry weight. For <italic>G. platifrons</italic>, flesh wet weight accounted for 20.78 &#xb1; 30.37% of total weight. Flesh dry weight accounted for 3.98 &#xb1; 5.08% of total weight and 19.07 &#xb1; 11.46% of flesh wet weight. Dry weight accounted for 32.82 &#xb1; 13.80% of wet weight in <italic>S. crosnieri</italic>. None of the data shows an obvious trend of change with the variation in body length. Meanwhile, the length-to- weight ratios of <italic>G. platifrons</italic> and <italic>S</italic>. <italic>crosnieri</italic> fit well (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). The mean body lengths of these two species calculated from the mosaic were 74.44&#xa0;mm and 39.08&#xa0;mm, respectively. Therefore, their respective mean dry weights in the mosaic were 2.71&#xa0;g and 3.81&#xa0;g. Based on the total number of the two species, the dry biomass of Site F reached 726.15&#xa0;kg. Otherwise, the ratio of dry weight to wet weight was used to calculate the biomass (dry weight) of the three stations in 2020. The highest and lowest total mean biomass per station were 1.62&#xa0;kg dry weight/m<sup>2</sup> (dw/m<sup>2</sup>) and 16.42&#xa0;kg wet weight/m<sup>2</sup> (ww/m<sup>2</sup>) at GC and 0.43&#xa0;kg dw/m<sup>2</sup> and 6.83&#xa0;kg ww/m<sup>2</sup>at GB.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>The relationships between length and weight of <italic>G. platifrons</italic> and <italic>S</italic>. <italic>crosnieri</italic>. .</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Species</th>
<th valign="middle" align="center">
<italic>n</italic>
</th>
<th valign="top" align="center">Length-weight (wet)</th>
<th valign="top" align="center">R<sup>2</sup>
</th>
<th valign="top" align="center">Length-weight (dry)</th>
<th valign="top" align="center">R<sup>2</sup>
</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">
<bold>
<italic>G. platifrons</italic>
</bold>
</td>
<td valign="middle" align="center">50</td>
<td valign="top" align="center">W = exp (&#x2013;10.79) *L^2.29</td>
<td valign="top" align="center">0.9179</td>
<td valign="top" align="center">W = exp (&#x2013;9.59) *L^1.60</td>
<td valign="top" align="center">0.8974</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>
<italic>S</italic>. <italic>crosnieri</italic>
</bold>
</td>
<td valign="middle" align="center">50</td>
<td valign="top" align="center">W = exp (&#x2013;10.16) *L^ 3.43</td>
<td valign="top" align="center">0.9166</td>
<td valign="top" align="center">W = exp (&#x2013;9.66) *L^3.00</td>
<td valign="top" align="center">0.9372</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>W, weight (g); L, length (mm); n, number of individuals used to model the relationships.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>A patch distribution pattern of macrofauna was found at the Site F cold seep (<xref ref-type="fig" rid="f4">
<bold>Figures&#xa0;4</bold>
</xref> and <xref ref-type="fig" rid="f5">
<bold>5</bold>
</xref>). Almost all macrofauna, such as <italic>G. platifrons, S</italic>. <italic>crosnieri</italic>, <italic>Lithodes longispina</italic>, and most of the <italic>Ophidiidae</italic> sp., were found living on or around the hard substrates. Meanwhile, some common species (<italic>B. lactea</italic>, <italic>P. buccinoides</italic>, <italic>Alvinocaris longirostris</italic>, and several species of Polynodiae) at Site F were also found on hard substrates through the TV grab and the ROV camera. According to grab operations in different substrates, the macrofauna in soft substrates, even in reduced sediments (only four types of macrofauna were found), had relatively low diversity and density when compared to hard substrates. <italic>Munidopsis</italic> sp. was found on carbonate rocks and the exterior (mainly a mix of mussels and shells) of the <italic>G. platifrons</italic> &#x2013;<italic>S</italic>. <italic>crosnieri</italic> community. A phenomenon we observed was that <italic>Munidopsis</italic> sp. and <italic>S. crosnieri</italic> did not exist in large numbers (&gt;30 individuals/m<sup>2</sup>) at the same location. An abundance of <italic>S. crosnieri</italic> was found at Site F, but no significant numbers of <italic>Munidopsis</italic> sp. In addition, two species of sponges, <italic>Esperiopsis</italic> sp. and <italic>Stlocordyla</italic> sp., were abundant (the highest density reached 578 individuals/m<sup>2</sup>) and widely distributed in carbonate rocks.</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Spatial distribution of other macrofauna in the mosaic, including <italic>Lithodes Longispina</italic> (green), <italic>Benthesicymus</italic> sp. (red), Ophidiidae sp. (orange), cf. <italic>Semperella jiaolongae</italic> (yellow), cf. <italic>Bathypolypus</italic> (blue), cf. <italic>Bathyteuthoida</italic> (purple), <italic>Asteroidea</italic> (brown), <italic>Histampica</italic> sp. (pink), and cf. <italic>Cidaridae</italic> (white). The outline represents the area where images were obtained. Large patches of black and gray represent hard and soft bottoms, respectively.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-10-1068916-g005.tif"/>
</fig>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Interannual variation in body length of the dominant species in different areas</title>
<p>The body length of the dominant species was measured to compare the age composition in different areas. The mean body lengths of <italic>G. platifrons</italic> and <italic>S</italic>. <italic>crosnieri</italic> we found in the mosaic in 2016 reached 35.89 to 94.15&#xa0;mm and 24.26 to 55.35&#xa0;mm, respectively. The central area was almost covered by the larger <italic>G. platifrons</italic>, while the larger <italic>S</italic>. <italic>crosnieri</italic> were abundant only in the southeast (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6</bold>
</xref>). Obvious signs of seepage were found in these two locations. To compare the interannual variation in body length, samples were taken from three stations (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;1</bold>
</xref>). The average body length and weight in GA were higher as compared to those in the other locations. Individuals with a smaller body length (&lt; 20&#xa0;mm) and no signs of seepage were absent. Using the normal distribution of body length in 2016 and 2020, we analyzed the body length at these three stations (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7</bold>
</xref>). The average body length of <italic>G. platifrons</italic> and <italic>S</italic>. <italic>crosnieri</italic> in GA was significantly increased. Their length ranges were noticeably narrower. In contrast, the mean body length of <italic>G. platifrons</italic> in GB and GC decreased dramatically, with the former dropping from 70&#x2013;80 mm to 30&#x2013;40 mm and the latter dropping from 80&#x2013;90 mm to 30&#x2013;40 mm. The proportion of medium and small body lengths in both areas increased significantly.</p>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>Body length distribution of <bold>(A)</bold> <italic>G. platifrons</italic> and <bold>(B)</bold> <italic>S</italic>. <italic>crosnieri</italic> in every grid. The maximum body length of these two species reached 94.15 and 55.35&#xa0;mm, respectively.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-10-1068916-g006.tif"/>
</fig>
<fig id="f7" position="float">
<label>Figure&#xa0;7</label>
<caption>
<p>Interannual variation of organism length in three areas (GA, GB, and GC). The bar charts and curves are the actual quantity of different body length ranges and normally fitted curves, respectively.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-10-1068916-g007.tif"/>
</fig>
</sec>
<sec id="s3_4">
<label>3.4</label>
<title>The correlation between methane, oxygen, and dominant species</title>
<p>The concentration of methane showed a strong positive correlation with the density of <italic>G. platifrons</italic> (r = 0.895, <italic>P</italic> &lt; 0.05) and <italic>S</italic>. <italic>crosnieri</italic> (r = 0.833, <italic>P</italic> = 0.08), while DO showed a strong negative correlation with <italic>G. platifrons</italic> (r = &#x2013;0.908, <italic>P</italic> &lt; 0.05) and <italic>S</italic>. <italic>crosnieri</italic> (r = &#x2013;0.823, <italic>P</italic> = 0.08).</p>
<p>The oxygen consumption calculated from the 2.71&#xa0;g dry weight of <italic>G. platifrons</italic> was 17.54 &#x3bc;mol/(g dry weight by h). <italic>G. platifrons</italic> consumed 14.62 &#x3bc;mol/(g dry weight by h) of CH<sub>4</sub>. Therefore, with a dry weight of 2.71&#xa0;g and a quantity of 215,339 individuals, the <italic>G. platifrons</italic> in the whole of Site F (2,000 m<sup>2</sup>) consumed 204.74&#xa0;mol of methane per day. Methane consumption of <italic>S</italic>. <italic>crosnieri</italic> at the entire Site F was 1.78 mol/d by 37,422 individuals.</p>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<sec id="s4_1">
<label>4.1</label>
<title>Seep community compositions in Site F</title>
<p>For the Site F cold seep, 41 species of macrofauna were found in our study. Compared with 42 chemosynthesis-based ecosystems in the northwest Pacific (range 2&#x2013;38), including cold seeps in Sagami Bay, Nankai Trough, and so on, the species richness of Site F was high (<xref ref-type="bibr" rid="B35">Nakajima et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B50">Zhao et&#xa0;al., 2020</xref>). A previous study proved the strong influences among seepage activity and density, species evenness, and taxonomic composition of macrofauna (<xref ref-type="bibr" rid="B28">Levin et&#xa0;al., 2017</xref>). The relatively young carbonate rocks at Site F (<xref ref-type="bibr" rid="B19">Feng et&#xa0;al., 2018</xref>) suggested that past seep activity may have contributed to the relatively high species diversity. In addition to the previously reported macrofauna from the Formosa cold seep (<xref ref-type="bibr" rid="B17">Dong and Li, 2015</xref>; <xref ref-type="bibr" rid="B30">Li, 2017</xref>; <xref ref-type="bibr" rid="B49">Zhang et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B50">Zhao et&#xa0;al., 2020</xref>), we also found some new or newly recorded species. This indicates that species richness in this area remains under-sampled. It is worth noting that almost half of the species were found through TV grabs. Most of these were new or newly recorded species. Thus, further research on traditional physical collection could help in the discovery of possible new species.</p>
<p>Density-wise, Bivalvia, mainly <italic>G. platifrons</italic>, and Crustacea, particularly <italic>S</italic>. <italic>crosnieri</italic>, dominated community composition at Site F. The highest densities of these two species in the mosaic reached 560 and 396 individuals/m<sup>2</sup>, respectively. Our research found a higher density of <italic>G. platifrons</italic> (629 individuals/m<sup>2</sup>) with our TV grab in 2020. This was more than double what <xref ref-type="bibr" rid="B50">Zhao et&#xa0;al. (2020)</xref> had previously reported. However, there were still a substantial number of individuals that had not been collected. Therefore, the density of <italic>G. platifrons</italic> and <italic>S</italic>. <italic>crosnieri</italic> at Site F has been greatly underestimated. The total mean biomass at Site F was low when compared with other cold seeps, including the Monterey Bay (0.7&#x2013;2.05 kg ash-free dry mass/m<sup>2</sup>), the Gulf of Mexico (0.47&#x2013;3.13 kg ash- free dry mass/m<sup>2</sup>), and the Peru Trench (30&#xa0;kg ww/m<sup>2</sup>) (<xref ref-type="bibr" rid="B36">Olu et&#xa0;al., 1996</xref>; <xref ref-type="bibr" rid="B6">Bergquist et&#xa0;al., 2003</xref>; <xref ref-type="bibr" rid="B3">Barry et&#xa0;al., 2007</xref>). One cold seep dominated by vesicomyid at the Regab pockmark (0.77&#x2013;2.03 kg dw/m<sup>2</sup>) (<xref ref-type="bibr" rid="B15">Decker et&#xa0;al., 2012</xref>) had the closest amount of biomass. However, because of the undersampling of the dominant species, the biomass at Site F was underestimated.</p>
</sec>
<sec id="s4_2">
<label>4.2</label>
<title>Distribution pattern of macrofauna and environment at Site F</title>
<p>Site F had both hard (central authigenic carbonates) and soft (peripheral muddy) substrates. This pattern may be a result of the succession of cold seeps. When seepage begins in an area, microbial mats form and methanogenesis occurs, creating carbonates (<xref ref-type="bibr" rid="B24">Levin, 2005</xref>). Then, the fauna began to gather. As time goes on, the outermost mussel beds decompose into shell debris.</p>
<p>Almost all the macrofauna were found on or around the hard substrates (mainly the authigenic carbonates), and their relatively high density was always found at the locations where there were obvious signs of seepage. Authigenic carbonates appeared to be a major factor contributing to the higher macrofaunal diversity and abundance (<xref ref-type="bibr" rid="B41">Sen et&#xa0;al., 2019</xref>). This is mainly because these structures (e.g., cracks, outcrops) formed by authigenic carbonates can enhance habitat heterogeneity and might be used as the migration pathway for seepage. For example, small clusters of <italic>S. crosnieri</italic> can be found living in the cracks formed by authigenic carbonates. These cracks might be used as the dominant migration pathway for cold seep fluid transportation and provide sufficient energy and shelter for the overlying fauna. Some macrofauna, such as some top predators (<italic>L. longispina</italic>, Ophidiidae sp., <italic>Henricia</italic> sp.) and some small species (like <italic>Histampica</italic> sp. and some Gastropoda) were also observed in the vicinity of carbonates (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref>) because the high biomass communities formed by <italic>G. platifrons</italic> and <italic>S</italic>. <italic>crosnieri</italic> could provide more food sources. Some studies also found that the prevalence of provannid snails, pyropeltid limpets, and polynoid polychaetes occurred on carbonates in common with another hard substrate vent, seep, and whale fall communities in the Pacific (<xref ref-type="bibr" rid="B5">Bergquist et&#xa0;al., 2007</xref>; <xref ref-type="bibr" rid="B27">Levin and Le Bris, 2015</xref>). <italic>L. longispina</italic> has been observed feeding on <italic>G. platifrons</italic> and possibly <italic>S</italic>. <italic>crosnieri</italic> (<xref ref-type="bibr" rid="B30">Li, 2017</xref>). <italic>Bathyacmaea lactea</italic>, a type of limpet, may consume biofilm on mussel shells (<xref ref-type="bibr" rid="B10">Chen et&#xa0;al., 2019</xref>). As for soft substrates, even in the reduced sediments, there was a lack of macrofauna. Only three species (<italic>Solemya</italic> sp., <italic>Glycera</italic> sp., and <italic>Chaetoderma</italic> sp.) were discovered in locations where oxidizing and reducing sediments were mixed. Sulfide in reduced sediments, a vital energy source, is important for the regulation of sulfide-dependent symbiont-bearing species (<xref ref-type="bibr" rid="B8">Cao et&#xa0;al., 2021</xref>). Despite the fact that it has been proven that animals can adapt to the toxic sulfide (<xref ref-type="bibr" rid="B20">Grieshaber and Volkel, 1998</xref>), relatively high concentrations may prevent biological adaptations. Otherwise, habitat suitability, geochemical differences, fluid flow, and seepage rates also had an effect on species distribution (<xref ref-type="bibr" rid="B37">Roy et&#xa0;al., 2007</xref>; <xref ref-type="bibr" rid="B38">Rybakova et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B40">Sen et&#xa0;al., 2018</xref>).</p>
<p>Overall, a distinct patchy distribution pattern of macrofauna was found in the mosaic, where the most abundant areas were clustered in the center of the entire cold seep area. Strong spatial differences in faunal composition and large aggregations characterized the megafauna pattern at the seep site (<xref ref-type="bibr" rid="B2">Astrom et&#xa0;al., 2018</xref>). Other cold seep ecosystems with patchy faunal distributions include the pockmark Regab, a cold seep near Baltimore Canyon, the northern Peruvian margin, and so on (<xref ref-type="bibr" rid="B36">Olu et&#xa0;al., 1996</xref>; <xref ref-type="bibr" rid="B34">Menot et&#xa0;al., 2010</xref>; <xref ref-type="bibr" rid="B7">Bourque et&#xa0;al., 2017</xref>). To clarify the spatial differences at Site F, we analyzed the macrofauna composition by comparing five stations in the south and north. Predictable successional processes were occurring within the <italic>G. platifrons</italic> &#x2013;<italic>S</italic>. <italic>crosnieri</italic> communities. The density, biomass, and diversity of the associated macrofauna all decreased in the north. Narrowed body length ranges, a lack of juveniles (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7</bold>
</xref>), and the disappearance of the cold seep vent may indicate that the northern region was in the final stages of the cold seep eruption and on the way to extinction. In the south, however, high densities and biomass of macrofauna were discovered. An obvious cold seep vent was found in this area in 2020, which may have contributed to a rise in local primary productivity. Some local macrofauna, such as <italic>B. lactea</italic>, <italic>P. glabra</italic>, and <italic>Histampica</italic> sp., were abundant in the south, especially in the southeast. Therefore, in 2020, the macrofauna in the north at Site F was declining, whereas the southern macrofauna was thriving .</p>
</sec>
<sec id="s4_3">
<label>4.3</label>
<title>The interaction between environmental factors and dominant species</title>
<p>The dominant species in the cold seep area had strong connections with methane and DO concentrations. <italic>In in situ</italic> environment detection and macrofauna collection were critical for better understanding these connections. However, the variation in these environmental factors, especially methane, was relatively different in the cold seep area (<xref ref-type="bibr" rid="B8">Cao et&#xa0;al., 2021</xref>). Indeed, a number of studies have shown that the concentration of methane can vary greatly in a short period of time, even by an order of magnitude (<xref ref-type="bibr" rid="B14">Davide et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B4">Bayrakci et&#xa0;al., 2014</xref>). This undoubtedly increased the difficulty of detection. Data from several stations were used to understand the interaction between environmental factors and dominant species. <italic>G. platifrons</italic> and <italic>S. crosnieri</italic> in central areas that had relatively high concentrations of methane were found to have comparatively higher densities (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;1</bold>
</xref>). <italic>G. platifrons</italic> and <italic>S. crosnieri</italic> obtained energy through symbiosis with methane-oxidizing bacteria and were limited to areas where chemical flux was sufficient for endosymbiont nutrition (<xref ref-type="bibr" rid="B42">Sibuet and Olu, 1998</xref>). This may also suggest that high methane concentrations have some positive effects on these two species. As for DO, we attributed the negative correlation to oxygen consumption by life processes. Other environmental factors, including temperature, pH, salinity, and depth, were also applied in correlation analysis and showed insignificant correlations. In addition, to better understand the biological-environmental relationships, more sampling sites and environmental factors (such as fluid flow, seepage rate, and so on) needed to be included in future investigations.</p>
<p>The consumption of methane (204.74 and 1.78 mol/d) at the entire Site F by the dominant species <italic>G. platifrons</italic> and <italic>S. crosnieri</italic> was estimated. The equation between oxygen consumption and body weight of mytilids was used to calculate the oxygen consumption of <italic>G. platifrons</italic>. The conditions for this equation were that the dry weight of bivalves should be 0.03- 4&#xa0;g (<xref ref-type="bibr" rid="B21">Khripounoff et&#xa0;al., 2017</xref>). The dry weight of <italic>G. platifrons</italic> at Site F was predominantly in the range of 0.03&#x2013;2.36 g. Meanwhile, the similar temperature of the habitat could also reduce the estimation error because temperature is the most important factor affecting oxygen consumption. Since it was assumed that mytilids were solely responsible for oxygen consumption , the oxygen consumption of <italic>G. platifrons</italic> may be overestimated. As for the relationship between methane and oxygen, the presence of related species (<italic>Gigantidas</italic> sp.) at Site F and the Gulf of Mexico added credibility to the estimation of methane consumption. For assessing the influence of dominant species on methane flux, the methane flux (60-1,598 mol/d) at the whole of Site F (20,000 m<sup>2</sup>) was estimated according to <xref ref-type="bibr" rid="B33">Mau et&#xa0;al. (2020)</xref>. Methane consumption by the dominant species accounted for 12.93% of the maximum methane flux at Site F. Although the methane flux was underestimated (ignoring any methane that remained in bubbles), the consumption of methane by macrofauna on the seafloor cannot be ignored.</p>
</sec>
</sec>
<sec id="s5" sec-type="conclusions">
<label>5</label>
<title>Conclusions</title>
<p>The combination of habitat mapping and physical collection is an important method for characterizing seafloor ecosystems. Imagery provided an opportunity to identify the structure, composition, and temporal change of macrofauna communities on a larger scale. Our quantitative evidence of images and TV grab data revealed the number, body length, biomass, and distribution of the dominant species living in the cold seep area at Site F. Combined with porewater geochemistry (e.g., dissolved oxygen and methane concentrations), a high-resolution map of macrofauna could be used to estimate population dynamics. Methane consumption by macrofauna indicates that they play an important role in affecting methane fluxes. Seepage and authigenic carbonate exerted strong control over the diversity, taxonomic composition, and density of macrofauna at Site F. However, habitat suitability, geochemical differences, fluid flow, and seepage rate probably also played other roles in enhancing the richness and density of macrofauna, although this could not be specifically explained in our study. Therefore, more sampling is needed for further research. An enhanced understanding of methane flux and associated sediment geochemistry, coupled with the composition of the macrofauna community, could benefit the ecosystem modelling relating to the macrofauna structure and function of cold seeps. All of our data contributed to ecosystem modeling, which is key to promoting sustainable management of the deep seas.</p>
</sec>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>Conceptualization, HW and CL; data curation, HW, and ZL; formal analysis, HW; funding acquisition, CL; investigation, HW, LC, and ZZ; methodology, HW and CL; validation, HW; writing&#x2014;original draft, HW; writing&#x2014;review and editing, CL and XW. All authors contributed to the article and approved the submitted version.</p>
</sec>
</body>
<back>
<sec id="s8" sec-type="funding-information">
<title>Funding</title>
<p>This work was supported by the National Natural Science Foundation of China (42030407 and 42076091).</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>The samples and data were collected by R.V. <italic>Kexue</italic>. We thank Lei Cao and Chao Lian for their help in environmental data collection. We appreciate the help of Minxiao Wang, Xin Zhang, and Zhendong Luan in data analysis.</p>
</ack>
<sec id="s9" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>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.</p>
</sec>
<sec id="s10" 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>
<sec id="s11" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fmars.2023.1068916/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fmars.2023.1068916/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="Table_1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
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