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  <front>
    <journal-meta><journal-id journal-id-type="publisher">BG</journal-id><journal-title-group>
    <journal-title>Biogeosciences</journal-title>
    <abbrev-journal-title abbrev-type="publisher">BG</abbrev-journal-title><abbrev-journal-title abbrev-type="nlm-ta">Biogeosciences</abbrev-journal-title>
  </journal-title-group><issn pub-type="epub">1726-4189</issn><publisher>
    <publisher-name>Copernicus Publications</publisher-name>
    <publisher-loc>Göttingen, Germany</publisher-loc>
  </publisher></journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.5194/bg-23-5019-2026</article-id><title-group><article-title>Benthic foraminiferal species tolerance for hydrothermal activity: a case of study from the Lucky Strike vent field</article-title><alt-title>Benthic foraminiferal species tolerance for hydrothermal activity</alt-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes" rid="aff1">
          <name><surname>Dessandier</surname><given-names>Pierre-Antoine</given-names></name>
          <email>pierre.antoine.dessandier@ifremer.fr</email>
        <ext-link>https://orcid.org/0000-0002-4413-8672</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2 aff3">
          <name><surname>Panieri</surname><given-names>Giuliana</given-names></name>
          
        <ext-link>https://orcid.org/0000-0001-9411-1729</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Leroux</surname><given-names>Riwan</given-names></name>
          
        <ext-link>https://orcid.org/0000-0003-2276-9980</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff4">
          <name><surname>Pelleter</surname><given-names>Ewan</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Fuchs</surname><given-names>Sandra</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Bouriat</surname><given-names>Alizé</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff4">
          <name><surname>Boissier</surname><given-names>Audrey</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff4">
          <name><surname>Cheron</surname><given-names>Sandrine</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Sarrazin</surname><given-names>Jozée</given-names></name>
          
        </contrib>
        <aff id="aff1"><label>1</label><institution>Univ Brest, Ifremer, BEEP, 29280 Plouzané, France</institution>
        </aff>
        <aff id="aff2"><label>2</label><institution>Department of Geosciences, UiT – The Arctic University of Norway, 9037, Tromsø, Norway</institution>
        </aff>
        <aff id="aff3"><label>3</label><institution>CNR, ISP Institute of Polar Science, Campus Scientifico-Università Ca' Foscari Venezia, Mestre, Italy</institution>
        </aff>
        <aff id="aff4"><label>4</label><institution>Geo-Ocean, University Brest, CNRS, Ifremer, UMR6538, Plouzane, France</institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">Pierre-Antoine Dessandier (pierre.antoine.dessandier@ifremer.fr)</corresp></author-notes><pub-date><day>21</day><month>July</month><year>2026</year></pub-date>
      
      <volume>23</volume>
      <issue>14</issue>
      <fpage>5019</fpage><lpage>5034</lpage>
      <history>
        <date date-type="received"><day>13</day><month>January</month><year>2026</year></date>
           <date date-type="rev-request"><day>23</day><month>January</month><year>2026</year></date>
           <date date-type="rev-recd"><day>30</day><month>June</month><year>2026</year></date>
           <date date-type="accepted"><day>30</day><month>June</month><year>2026</year></date>
      </history>
      <permissions>
        <copyright-statement>Copyright: © 2026 Pierre-Antoine Dessandier et al.</copyright-statement>
        <copyright-year>2026</copyright-year>
      <license license-type="open-access"><license-p>This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link></license-p></license></permissions><self-uri xlink:href="https://bg.copernicus.org/articles/23/5019/2026/bg-23-5019-2026.html">This article is available from https://bg.copernicus.org/articles/23/5019/2026/bg-23-5019-2026.html</self-uri><self-uri xlink:href="https://bg.copernicus.org/articles/23/5019/2026/bg-23-5019-2026.pdf">The full text article is available as a PDF file from https://bg.copernicus.org/articles/23/5019/2026/bg-23-5019-2026.pdf</self-uri>
      <abstract><title>Abstract</title>

      <p id="d2e177">Hydrothermal vent fields represent dynamic environments hosting rich ecosystems. At the Mid-Atlantic Ridge, the Lucky Strike (LS) vent field has been the focus of multiple biological studies. While ecological studies have been focusing on microbial and macrofaunal communities, some groups still remained out of the scope. We present here the first ecological study of benthic foraminifera inhabiting soft sediments in the peripheries of hydrothermal edifices at LS. A total of fifteen blade cores were analyzed. We combine habitat environmental descriptors with faunal density and diversity of benthic foraminifera (living and fossil) to investigate the impact of hydrothermal activity on their ecology. The far periphery, <inline-formula><mml:math id="M1" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 150 m away from vents, harbors a community of diverse foraminifera feeding on pre-degraded organic matter characterized by a phytoplankton detrital signal, as shown by the isotopic signal of the organic matter. Communities located at intermediate distance (<inline-formula><mml:math id="M2" display="inline"><mml:mo lspace="0mm">∼</mml:mo></mml:math></inline-formula> 50 m) from venting showed the presence of opportunistic species likely feeding on chemosynthetic microorganisms. Finally, environments closer to active sites (few meters) showed very low abundance of living individuals, as the presence of harsh environmental conditions may limit foraminiferal growth. Unexpectedly, the presence of widespread iron-oxidizer bacterial biofilms was associated to the dissolution of all biogenic carbonate content raising questions on their impact on regional carbon budget.</p>
  </abstract>
    
<funding-group>
<award-group id="gs1">
<funding-source>Conseil Régional de Bretagne</funding-source>
<award-id>n/a</award-id>
</award-group>
<award-group id="gs2">
<funding-source>ISblue</funding-source>
<award-id>ANR-17-EURE-0015</award-id>
</award-group>
</funding-group>
</article-meta>
  </front>
<body>
      

      
<sec id="Ch1.S1" sec-type="intro">
  <label>1</label><title>Introduction</title>
      <p id="d2e205">Benthic foraminifera are marine micro-organisms that represent more than 50 % of the eukaryotic biomass in many deep-sea habitats and influence the structure and dynamics of marine biological communities, with larger benthic organisms from the meiofauna and macrofauna as predators and microorganisms as preys (Gooday, 1994). Benthic foraminifera have been widely studied as fossils in marine systems for more than a century and as living individuals for ecological purpose since the 1960s'. However, very few studies have been conducted on benthic foraminifera from deep-sea hydrothermal vents (Molina-Cruz and Ayala-Lopez, 1988; Jonasson et al., 1995; Burkett et al., 2018; Krüger et al., 2025) because of complex sampling techniques (hard substrates, use of submersible) and the usual focus on microbes and macrofauna in these environments.</p>
      <p id="d2e208">Benthic foraminiferal distribution in the marine sediment is mainly controlled by the spatially opposed contents of organic matter and oxygen (Jorissen et al., 1995; Mackensen et al., 1995), but also by organic matter quality and source (e.g., Altenbach et al., 1999; Loubere and Fariduddin, 1999; Dessandier et al., 2016). In deep-sea environments, the food source for benthic foraminifera is often limited to degraded detrital and microbial organic matter (Alongi and Pichon, 1988; Gooday and Hughes, 2002; Gooday et al., 2008). In extreme environments, where fluids enhance microbial activities, such as cold seeps, benthic foraminifera can thrive feeding on certain groups of bacteria, where the conditions allow them to survive (Panieri, 2006; Bernhard and Panieri, 2018; Dessandier et al., 2019).</p>
      <p id="d2e211">Extreme environments with fluids-rich sediments may offer a nutrient-rich microbial food source for benthic foraminifera, yet they also represent a potentially harsh environment due to their challenging physical and chemical conditions (e.g., Kurt and Barry, 1998; Dessandier et al., 2019). Hydrothermal vents are dynamic systems where cold seawater penetrate through cracks in the ocean crust and is heated and enriched in dissolved metals and sulfur in contact with rocks overlying the magma chamber. This process results in the emergence of hot, slightly acidic and chemically reduced fluids. Most of the metals dissolved in the ascending vent fluids precipitate when they mix with the surrounding cold seawater, resulting in black- and white smoker chimneys, large sulfide edifices and later, extensive mounds of accumulated massive sulfide. Hydrothermal vent fields are commonly referred as to “oases of life”, harboring luxuriant chemosynthetic faunal communities (Fisher et al., 2007). Associated food webs are mainly based on local microbial chemosynthesis (Childress and Fisher, 1992), performed by free-living and symbiotic chemoautotrophic microorganisms that utilize the chemical energy released by the oxidation of reduced chemicals species (H<sub>2</sub>, H<sub>2</sub>S, CH<sub>4</sub>, Fe) present in the hydrothermal fluids (Childress and Fisher, 1992; Schmidt et al., 2008). In Juan de Fuca Ridge (North Pacific Ocean), the distribution of foraminifera was shown to be influenced by temperature, pH and substratum types, resulting in their absence at temperature higher than 20 °C and on unstable surfaces such as friable anhydrite which prevents the attachment of agglutinated species (Jonasson et al., 1995). Among hydrothermal vent systems, the Lucky Strike vent field has been one of the most studied ecosystems since its discovery in 1992 and with more than 15 years of continuous multidisciplinary observations through the EMSO-Azores observatory deployed in 2010 (Matabos et al., 2025). Over these studies, it has been pointed out that regional distributions of macro- and meiofauna depend on abiotic parameters such as pH, temperature, sulfides and metals (e.g., Sarrazin et al., 2015; see Matabos et al., 2025 for a review). However, no studies yet filled the gaps about the role of the benthic foraminifera in this system. Given its numerous active vent sites and well documented biotic and abiotic conditions, the Lucky Strike vent field provides an ideal setting for investigating benthic foraminiferal ecology in hydrothermal ecosystems and their role in influencing regional biodiversity. This study presents the first analysis of benthic foraminifera from the Lucky Strike vent field, integrating living and fossil foraminiferal individuals and environmental conditions across gradients of hydrothermal influence and associated microbial biofilms.</p>
</sec>
<sec id="Ch1.S2">
  <label>2</label><title>Study area</title>
      <p id="d2e249">The Lucky Strike hydrothermal vent field on the Mid-Atlantic Ridge (MAR) at 37°17<sup>′</sup>N is one of the largest fields. It is located at <inline-formula><mml:math id="M7" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 1700 m water depth and its <inline-formula><mml:math id="M8" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 25 active edifices are surrounding a 200 m diameter lava lake (Ondréas et al., 2009). Biological and geological evidence indicate a long venting history at Lucky Strike, with recent lava footprint analyses suggesting that modern volcanic activity has driven the resurgence of hydrothermal venting (Langmuir et al., 1997). Several active and inactive edifices have been identified since the first exploration of the field in 1993 (Fouquet et al., 1995). In addition to the sulfide structures, the seafloor is characterized by sulfide deposits and covered by hydrothermal breccia of basaltic glass and plagioclase crystals indurated by silica and barite (Langmuir et al., 1997). The sediments surrounding the structures contain high concentration of metals such as Fe, Cu and Zn, particularly enriched at the Capelinhos vent site where the fault configuration enables hot fluid outflow (<inline-formula><mml:math id="M9" display="inline"><mml:mo lspace="0mm">&gt;</mml:mo></mml:math></inline-formula> 300 °C) (Fig. 1, Cotte et al., 2020).</p>

      <fig id="F1" specific-use="star"><label>Figure 1</label><caption><p id="d2e284">Location of the Lucky Strike vent field on the Mid-Atlantic Ridge (inset) and of the sediment cores (red circles) collected in 2020 near four active hydrothermal edifices (black triangle).</p></caption>
        <graphic xlink:href="https://bg.copernicus.org/articles/23/5019/2026/bg-23-5019-2026-f01.png"/>

      </fig>

      <p id="d2e293">As observed in many different hydrothermal fields, the metabolic activity is greatly enhanced by symbiosis with chemosynthetic microorganisms. That results at Lucky Strike in a strong dominance of <italic>Bathymodiolus azoricus</italic> mussel assemblages (Van Dover, 1995; Desbruyeres et al., 2001) that create habitats hosting at least 79 associated species, each occupying distinct ecological niches (Sarrazin et al., 2015; Husson et al., 2017; Sarrazin et al., 2020). Two other assemblages, dominated respectively by <italic>Mirocaris fortunata</italic> shrimp and by <italic>Peltospira smaragdina</italic> gastropods, dominate warmer areas (Sarrazin et al., 2022). The geochemistry of the plumes showed a strong dilution of the fluid a few meters (5 to 10 m) away from the venting locations, as suggested by measurements of temperature and pH gradients near one of the largest and most studied edifices (i.e., Eiffel Tower; Sarradin et al., 2009). The area of exported particles does not reach 500 m and the influence of the vent field on the open ocean remains restricted (Khripounoff et al., 2000). Even though the Lucky Strike vent field differs from the other Mid-Atlantic Ridge vent sites by the absence of well-developed peripheral macrofauna (Van Dover et al., 1996), the vent primary chemosynthetic production is exported at least as far as <inline-formula><mml:math id="M10" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 90 m in the field (Alfaro-Lucas et al., 2020). The peripheral fauna harbors unique species and functional entities that contribute to increase the biodiversity at the vent field scale (Alfaro-Lucas et al., 2020).</p>
</sec>
<sec id="Ch1.S3">
  <label>3</label><title>Material and methods</title>
      <p id="d2e320">During the MoMARSAT cruise in September 2020, 15 sediment blade cores have been collected using the remotely operated vehicle <italic>Victor6000</italic> (Ifremer, Fig.1). Among them, 1 core was not analyzed due to missing sedimentary material, and 3 of them targeted microbial mats, visually attributed to iron-oxidizers biofilms, most likely Zetaproteobacteria (Astorch-Cardona et al., 2024). Various venting locations were targeted (i.e., near Eiffel Tower, Montsegur, Capelinhos and South Crystal edifices) in addition to a more distal location <inline-formula><mml:math id="M11" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 100 m away from active venting (called Montsegur Ref, Fig. 1). Each core has been sliced on board every centimeter and split in two equivalent volumes for each horizon, one preserved at <inline-formula><mml:math id="M12" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>20 °C for geochemical analyses and one preserved in a solution of Rose Bengal 2 g L<sup>−1</sup> in 96 % ethanol during several weeks for living benthic foraminiferal identification, individually wet-picked in petri dishes (Table 1). Then, the samples were wet sieved under filtered (0.2 <inline-formula><mml:math id="M14" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula>) seawater and all foraminiferal analyses were done on the <inline-formula><mml:math id="M15" display="inline"><mml:mo>&gt;</mml:mo></mml:math></inline-formula> 63 <inline-formula><mml:math id="M16" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula> size fraction. Since the preservation used was not the best for soft-walled foraminifera as formalin would have been, this study may underestimate this group. However, a previous check of formalin-preserved samples without staining did not show high abundance of soft-walled foraminifera in the area and in order to be consistent with comparable literature in vent studies focuses on benthic foraminifera, ethanol preservation has been used. All living individuals (<inline-formula><mml:math id="M17" display="inline"><mml:mo lspace="0mm">&gt;</mml:mo></mml:math></inline-formula> 63 <inline-formula><mml:math id="M18" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula>) were sorted for foraminiferal counts. Dead individuals (<inline-formula><mml:math id="M19" display="inline"><mml:mo lspace="0mm">&gt;</mml:mo></mml:math></inline-formula> 63 <inline-formula><mml:math id="M20" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula>) were sorted after drying the samples and using an Otto microsplitter to estimate the foraminiferal densities. The taxonomy of benthic foraminiferal species has been realized thanks to the Atlas of Benthic Foraminifera (Loeblich and Tappan, 1988). A full list of species accepted in WoRMS, with taxonomic references is provided as Table S2 in the Supplement. Specimens were considered living when all chambers, except the last one, were stained. In case of doubt, notably for the miliolids, tests were broken to ensure that the staining came from internal cytoplasm.</p>

<table-wrap id="T1" specific-use="star"><label>Table 1</label><caption><p id="d2e417">List of collected samples. Note that Cap_CL11 was analyzed for geochemistry only and Cap_CL6 for foraminifera only. Geoch. and Foram. correspond to the horizons analyzed for geochemical and foraminiferal data, respectively. <inline-formula><mml:math id="M21" display="inline"><mml:mrow><mml:mi>S</mml:mi><mml:mo>=</mml:mo></mml:mrow></mml:math></inline-formula> Specific richness, <inline-formula><mml:math id="M22" display="inline"><mml:mi>H</mml:mi></mml:math></inline-formula>'<inline-formula><mml:math id="M23" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> Shannon index, <inline-formula><mml:math id="M24" display="inline"><mml:mrow><mml:mi>E</mml:mi><mml:mo>=</mml:mo></mml:mrow></mml:math></inline-formula> Evenness index. n/a <inline-formula><mml:math id="M25" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> not applicable.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="13">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="left"/>
     <oasis:colspec colnum="3" colname="col3" align="left"/>
     <oasis:colspec colnum="4" colname="col4" align="right"/>
     <oasis:colspec colnum="5" colname="col5" align="right"/>
     <oasis:colspec colnum="6" colname="col6" align="right"/>
     <oasis:colspec colnum="7" colname="col7" align="right"/>
     <oasis:colspec colnum="8" colname="col8" align="right"/>
     <oasis:colspec colnum="9" colname="col9" align="right"/>
     <oasis:colspec colnum="10" colname="col10" align="right"/>
     <oasis:colspec colnum="11" colname="col11" align="right"/>
     <oasis:colspec colnum="12" colname="col12" align="right"/>
     <oasis:colspec colnum="13" colname="col13" align="right"/>
     <oasis:thead>
       <oasis:row>
         <oasis:entry colname="col1">Core name</oasis:entry>
         <oasis:entry colname="col2">Site</oasis:entry>
         <oasis:entry colname="col3">Station code</oasis:entry>
         <oasis:entry colname="col4">Day</oasis:entry>
         <oasis:entry colname="col5">Lat. N</oasis:entry>
         <oasis:entry colname="col6">Long. W</oasis:entry>
         <oasis:entry colname="col7">Water</oasis:entry>
         <oasis:entry colname="col8">Geoch.</oasis:entry>
         <oasis:entry colname="col9">Foram.</oasis:entry>
         <oasis:entry colname="col10">Indiv.</oasis:entry>
         <oasis:entry colname="col11"><inline-formula><mml:math id="M26" display="inline"><mml:mi>S</mml:mi></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col12"><inline-formula><mml:math id="M27" display="inline"><mml:mi>H</mml:mi></mml:math></inline-formula>'</oasis:entry>
         <oasis:entry colname="col13"><inline-formula><mml:math id="M28" display="inline"><mml:mi>E</mml:mi></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3"/>
         <oasis:entry colname="col4"/>
         <oasis:entry colname="col5"/>
         <oasis:entry colname="col6"/>
         <oasis:entry colname="col7">depth (m)</oasis:entry>
         <oasis:entry colname="col8"/>
         <oasis:entry colname="col9"/>
         <oasis:entry colname="col10"/>
         <oasis:entry colname="col11"/>
         <oasis:entry colname="col12"/>
         <oasis:entry colname="col13"/>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>
         <oasis:entry colname="col1">755-3_CL6</oasis:entry>
         <oasis:entry colname="col2">Montsegur N</oasis:entry>
         <oasis:entry colname="col3">MS N_CL6</oasis:entry>
         <oasis:entry colname="col4">15.09.2020</oasis:entry>
         <oasis:entry colname="col5">37°17.296<sup>′</sup></oasis:entry>
         <oasis:entry colname="col6">32°16.524<sup>′</sup></oasis:entry>
         <oasis:entry colname="col7">1703</oasis:entry>
         <oasis:entry colname="col8">0–5 cm</oasis:entry>
         <oasis:entry colname="col9">0–1 cm</oasis:entry>
         <oasis:entry colname="col10">16</oasis:entry>
         <oasis:entry colname="col11">8</oasis:entry>
         <oasis:entry colname="col12">1.808</oasis:entry>
         <oasis:entry colname="col13">0.7623</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">755-3_CL10</oasis:entry>
         <oasis:entry colname="col2">Montsegur N</oasis:entry>
         <oasis:entry colname="col3">MS N_CL10</oasis:entry>
         <oasis:entry colname="col4">15.09.2020</oasis:entry>
         <oasis:entry colname="col5">37°17.294<sup>′</sup></oasis:entry>
         <oasis:entry colname="col6">32°16.524<sup>′</sup></oasis:entry>
         <oasis:entry colname="col7">1703</oasis:entry>
         <oasis:entry colname="col8">0–8 cm</oasis:entry>
         <oasis:entry colname="col9">0–5 cm</oasis:entry>
         <oasis:entry colname="col10">33</oasis:entry>
         <oasis:entry colname="col11">14</oasis:entry>
         <oasis:entry colname="col12">2.317</oasis:entry>
         <oasis:entry colname="col13">0.7249</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">755-3_CL11</oasis:entry>
         <oasis:entry colname="col2">Montsegur N</oasis:entry>
         <oasis:entry colname="col3">MS N_CL11</oasis:entry>
         <oasis:entry colname="col4">15.09.2020</oasis:entry>
         <oasis:entry colname="col5">37°17.298<sup>′</sup></oasis:entry>
         <oasis:entry colname="col6">32°16.522<sup>′</sup></oasis:entry>
         <oasis:entry colname="col7">1703</oasis:entry>
         <oasis:entry colname="col8">0–6 cm</oasis:entry>
         <oasis:entry colname="col9">0–5 cm</oasis:entry>
         <oasis:entry colname="col10">34</oasis:entry>
         <oasis:entry colname="col11">7</oasis:entry>
         <oasis:entry colname="col12">1.582</oasis:entry>
         <oasis:entry colname="col13">0.695</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">757-5_CL6</oasis:entry>
         <oasis:entry colname="col2">Capelinhos</oasis:entry>
         <oasis:entry colname="col3">Cap_CL6</oasis:entry>
         <oasis:entry colname="col4">17.09.2020</oasis:entry>
         <oasis:entry colname="col5">37°17.413<sup>′</sup></oasis:entry>
         <oasis:entry colname="col6">32°15.809<sup>′</sup></oasis:entry>
         <oasis:entry colname="col7">1684</oasis:entry>
         <oasis:entry colname="col8">n/a</oasis:entry>
         <oasis:entry colname="col9">0–1 cm</oasis:entry>
         <oasis:entry colname="col10">1</oasis:entry>
         <oasis:entry colname="col11">1</oasis:entry>
         <oasis:entry colname="col12">0</oasis:entry>
         <oasis:entry colname="col13">1</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">757-5_CL11</oasis:entry>
         <oasis:entry colname="col2">Capelinhos</oasis:entry>
         <oasis:entry colname="col3">Cap_CL11</oasis:entry>
         <oasis:entry colname="col4">17.09.2020</oasis:entry>
         <oasis:entry colname="col5">37°17.384<sup>′</sup></oasis:entry>
         <oasis:entry colname="col6">32°15.793<sup>′</sup></oasis:entry>
         <oasis:entry colname="col7">1684</oasis:entry>
         <oasis:entry colname="col8">0–6 cm</oasis:entry>
         <oasis:entry colname="col9">n/a</oasis:entry>
         <oasis:entry colname="col10">n/a</oasis:entry>
         <oasis:entry colname="col11">n/a</oasis:entry>
         <oasis:entry colname="col12">n/a</oasis:entry>
         <oasis:entry colname="col13">n/a</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">757-5_CL7</oasis:entry>
         <oasis:entry colname="col2">Capelinhos</oasis:entry>
         <oasis:entry colname="col3">Cap_CL7</oasis:entry>
         <oasis:entry colname="col4">17.09.2020</oasis:entry>
         <oasis:entry colname="col5">37°17.403<sup>′</sup></oasis:entry>
         <oasis:entry colname="col6">32°15.799<sup>′</sup></oasis:entry>
         <oasis:entry colname="col7">1684</oasis:entry>
         <oasis:entry colname="col8">5–7 cm</oasis:entry>
         <oasis:entry colname="col9">0–5 cm</oasis:entry>
         <oasis:entry colname="col10">3</oasis:entry>
         <oasis:entry colname="col11">2</oasis:entry>
         <oasis:entry colname="col12">0.6365</oasis:entry>
         <oasis:entry colname="col13">0.9449</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">759-7_CL11</oasis:entry>
         <oasis:entry colname="col2">Eiffel Tower W</oasis:entry>
         <oasis:entry colname="col3">ET W_CL11</oasis:entry>
         <oasis:entry colname="col4">21.09.2020</oasis:entry>
         <oasis:entry colname="col5">37°17.344<sup>′</sup></oasis:entry>
         <oasis:entry colname="col6">32°16.556<sup>′</sup></oasis:entry>
         <oasis:entry colname="col7">1697</oasis:entry>
         <oasis:entry colname="col8">0–5 cm</oasis:entry>
         <oasis:entry colname="col9">0–5 cm</oasis:entry>
         <oasis:entry colname="col10">n/a</oasis:entry>
         <oasis:entry colname="col11">n/a</oasis:entry>
         <oasis:entry colname="col12">n/a</oasis:entry>
         <oasis:entry colname="col13">n/a</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">759-7_CL6</oasis:entry>
         <oasis:entry colname="col2">Eiffel Tower W</oasis:entry>
         <oasis:entry colname="col3">ET W_CL6</oasis:entry>
         <oasis:entry colname="col4">21.09.2020</oasis:entry>
         <oasis:entry colname="col5">37°17.344<sup>′</sup></oasis:entry>
         <oasis:entry colname="col6">32°16.552<sup>′</sup></oasis:entry>
         <oasis:entry colname="col7">1697</oasis:entry>
         <oasis:entry colname="col8">0–5 cm</oasis:entry>
         <oasis:entry colname="col9">0–5 cm</oasis:entry>
         <oasis:entry colname="col10">81</oasis:entry>
         <oasis:entry colname="col11">20</oasis:entry>
         <oasis:entry colname="col12">2.525</oasis:entry>
         <oasis:entry colname="col13">0.6245</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">760-8_CL7</oasis:entry>
         <oasis:entry colname="col2">Eiffel Tower E</oasis:entry>
         <oasis:entry colname="col3">ET E_CL7</oasis:entry>
         <oasis:entry colname="col4">22.09.2020</oasis:entry>
         <oasis:entry colname="col5">37°17.343<sup>′</sup></oasis:entry>
         <oasis:entry colname="col6">32°16.514<sup>′</sup></oasis:entry>
         <oasis:entry colname="col7">1701</oasis:entry>
         <oasis:entry colname="col8">0–7 cm</oasis:entry>
         <oasis:entry colname="col9">0–5 cm</oasis:entry>
         <oasis:entry colname="col10">7</oasis:entry>
         <oasis:entry colname="col11">5</oasis:entry>
         <oasis:entry colname="col12">1.475</oasis:entry>
         <oasis:entry colname="col13">0.8743</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">760-8_CL6</oasis:entry>
         <oasis:entry colname="col2">Eiffel Tower E</oasis:entry>
         <oasis:entry colname="col3">ET E_CL6</oasis:entry>
         <oasis:entry colname="col4">22.09.2020</oasis:entry>
         <oasis:entry colname="col5">37°17.343<sup>′</sup></oasis:entry>
         <oasis:entry colname="col6">32°16.511<sup>′</sup></oasis:entry>
         <oasis:entry colname="col7">1701</oasis:entry>
         <oasis:entry colname="col8">0–5 cm</oasis:entry>
         <oasis:entry colname="col9">0–5 cm</oasis:entry>
         <oasis:entry colname="col10">83</oasis:entry>
         <oasis:entry colname="col11">14</oasis:entry>
         <oasis:entry colname="col12">2.205</oasis:entry>
         <oasis:entry colname="col13">0.6476</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">761-9_CL6</oasis:entry>
         <oasis:entry colname="col2">South Crystal</oasis:entry>
         <oasis:entry colname="col3">SC_CL6</oasis:entry>
         <oasis:entry colname="col4">22.09.2020</oasis:entry>
         <oasis:entry colname="col5">37°17.408<sup>′</sup></oasis:entry>
         <oasis:entry colname="col6">32°16.974<sup>′</sup></oasis:entry>
         <oasis:entry colname="col7">1719</oasis:entry>
         <oasis:entry colname="col8">0–9 cm</oasis:entry>
         <oasis:entry colname="col9">0–5 cm</oasis:entry>
         <oasis:entry colname="col10">38</oasis:entry>
         <oasis:entry colname="col11">11</oasis:entry>
         <oasis:entry colname="col12">2.025</oasis:entry>
         <oasis:entry colname="col13">0.6886</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">762-10_CL6</oasis:entry>
         <oasis:entry colname="col2">Montsegur</oasis:entry>
         <oasis:entry colname="col3">MS_CL6</oasis:entry>
         <oasis:entry colname="col4">24.09.2020</oasis:entry>
         <oasis:entry colname="col5">37°17.281<sup>′</sup></oasis:entry>
         <oasis:entry colname="col6">32°16.528<sup>′</sup></oasis:entry>
         <oasis:entry colname="col7">1702</oasis:entry>
         <oasis:entry colname="col8">0–4 cm</oasis:entry>
         <oasis:entry colname="col9">0–4 cm</oasis:entry>
         <oasis:entry colname="col10">1</oasis:entry>
         <oasis:entry colname="col11">1</oasis:entry>
         <oasis:entry colname="col12">0</oasis:entry>
         <oasis:entry colname="col13">1</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">762-10_CL11</oasis:entry>
         <oasis:entry colname="col2">Montsegur</oasis:entry>
         <oasis:entry colname="col3">MS_CL11</oasis:entry>
         <oasis:entry colname="col4">24.09.2020</oasis:entry>
         <oasis:entry colname="col5">37°17.281<sup>′</sup></oasis:entry>
         <oasis:entry colname="col6">32°16.528<sup>′</sup></oasis:entry>
         <oasis:entry colname="col7">1702</oasis:entry>
         <oasis:entry colname="col8">0–4 cm</oasis:entry>
         <oasis:entry colname="col9">0–4 cm</oasis:entry>
         <oasis:entry colname="col10">n/a</oasis:entry>
         <oasis:entry colname="col11">n/a</oasis:entry>
         <oasis:entry colname="col12">n/a</oasis:entry>
         <oasis:entry colname="col13">n/a</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">763-11_CL11</oasis:entry>
         <oasis:entry colname="col2">Montsegur Ref</oasis:entry>
         <oasis:entry colname="col3">MS Ref_CL11</oasis:entry>
         <oasis:entry colname="col4">24.09.2020</oasis:entry>
         <oasis:entry colname="col5">37°17.220<sup>′</sup></oasis:entry>
         <oasis:entry colname="col6">32°16.501<sup>′</sup></oasis:entry>
         <oasis:entry colname="col7">1712</oasis:entry>
         <oasis:entry colname="col8">0–8 cm</oasis:entry>
         <oasis:entry colname="col9">0–5 cm</oasis:entry>
         <oasis:entry colname="col10">58</oasis:entry>
         <oasis:entry colname="col11">16</oasis:entry>
         <oasis:entry colname="col12">2.497</oasis:entry>
         <oasis:entry colname="col13">0.7592</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">763-11_CL6</oasis:entry>
         <oasis:entry colname="col2">Montsegur Ref</oasis:entry>
         <oasis:entry colname="col3">MS Ref_CL6</oasis:entry>
         <oasis:entry colname="col4">24.09.2020</oasis:entry>
         <oasis:entry colname="col5">37°17.221<sup>′</sup></oasis:entry>
         <oasis:entry colname="col6">32°16.503<sup>′</sup></oasis:entry>
         <oasis:entry colname="col7">1712</oasis:entry>
         <oasis:entry colname="col8">0–8 cm</oasis:entry>
         <oasis:entry colname="col9">0–5 cm</oasis:entry>
         <oasis:entry colname="col10">101</oasis:entry>
         <oasis:entry colname="col11">22</oasis:entry>
         <oasis:entry colname="col12">2.333</oasis:entry>
         <oasis:entry colname="col13">0.4684</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

      <p id="d2e1494">Bulk chemical composition of each surface sediment (0–1 cm) sample was determined using a wavelength dispersive X-ray fluorescence spectrometer (BRUCKER AXS S8 Tiger) at Ifremer. Samples were freeze-dried and ground to a powder (90 % of particles <inline-formula><mml:math id="M59" display="inline"><mml:mo>&lt;</mml:mo></mml:math></inline-formula> 80 <inline-formula><mml:math id="M60" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula>) using an agate pestle and mortar. Major elements and selected trace elements were analyzed on pressed pellets and fused beads (with a specific preparation for S analysis of sulfide-rich sediment; Table S1). After acquisition, the measured net peak intensities, corrected for inter-element effects, were converted into concentrations using calibration curves generated from analysis of certified geochemical standard powders (measured under identical analytical conditions).</p>
      <p id="d2e1515">Total organic carbon and its isotopic signature (TOC, <inline-formula><mml:math id="M61" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">13</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>C<sub>TOC</sub>) have been measured using a LECO TruMac, after carbonate dissolution (HCl 1N) at Ifremer. Accelerator Mass Spectrometry <sup>14</sup>C dating has been performed on 7 samples from two blade cores, in order to estimate sedimentation rates near the active Eiffel Tower edifice (ET E_CL7) and at the periphery of the vent field, south to Montsegur (MS Ref_CL6). Radiocarbon dating was carried out at the Beta Analytic Radiocarbon Dating facilities in Miami, US. The age was converted into calendar years using the calibration program Calib 7.1 (Stuiver et al., 2005) with a marine reservoir age of <inline-formula><mml:math id="M64" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>400 years that was incorporated within the Marine13 calibration curve (Reimer et al., 2013). Grain size was determined using a Mastersizer 3000 at Ifremer. The mode was used to characterize the habitat grain size after checking that all spectra were unimodal.</p>
      <p id="d2e1554">Faunal and environmental statistics have been performed using the software Primer v6.0 (Clarke and Warwick, 1994), for diversity indices (specific richness, Shannon and Evenness indices), principal component analysis (PCA) and matrices calculations (BioEnv). A PCA has been performed including standardized (minus average, divided by standard deviation) environmental parameters (Fe<sub>2</sub>O<sub>3</sub>, S, Cu, Ba, MnO, SiO<sub>2</sub>, CaO, TC, TOC, <inline-formula><mml:math id="M68" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">13</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>C and grain size) and standardized living faunal descriptors (individuals, specific richness and Shannon Index values) in order to investigate the control factors of the faunal distribution. A redundancy analysis (RDA) was performed to investigate the influence of environmental variables on the distribution of dead most abundant taxa in the 0–1 cm layer. Dead organisms were considered here in order to restrain seasonal effects and to ensure robust interpretations as rarefaction curves tend to show underestimation through living fauna (Fig. S1), since less than 300 individuals were found as living for all samples. Six species and two taxonomic groups were kept for the RDA analysis: <italic>Quinqueloculina auberiana</italic>, <italic>Lobatula wuellerstorfi</italic>, <italic>Cibicides pachyderma</italic>, <italic>Cruciloculina triangulis</italic>, <italic>Epistominella exigua</italic>, <italic>Gavelinopsis translucens</italic>, pooled <italic>Fissurina</italic> species and pooled non calcareous species. We decided to pool species of <italic>Fissurina</italic> genus, even though a large proportion of them come from the same species (i.e., <italic>F. orbignyana</italic>), because very little is known about their ecology and all species were distributed in a similar way. However, we cannot exclude that this approach is biased by the fact that some species of this genus may have a different ecology, hence <italic>Fissurina</italic> species are separated in the statistical approach. RDA was performed with the R software (R core team, 2025) and the vegan package (Oksanen et al., 2001). A forward selection was implemented to select the environmental variables significantly explaining the species distribution (function ordistep of the vegan package).</p>
      <p id="d2e1627">A correlation of environmental (Euclidean distance) and faunal (Bray-Curtis dissimilarity) matrices has been performed through the test BEST (BioEnv) to determine the main elements impacting the distribution of both fossil and living fauna on the study area (2 tests on total abundances). Environmental parameters considered in the calculation were grain size, SiO<sub>2</sub>, Fe<sub>2</sub>O<sub>3</sub>, MnO, CaO, S, Ba, Cu, <inline-formula><mml:math id="M72" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">13</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>C<sub>TOC</sub>, TOC and TC.</p>
</sec>
<sec id="Ch1.S4">
  <label>4</label><title>Results</title>
<sec id="Ch1.S4.SS1">
  <label>4.1</label><title>Habitat characterization</title>
      <p id="d2e1693">Sediment habitats have been studied through their particulate element composition, the main elements measured in each core surface (0–1 cm) have been represented as bar charts of relative abundance (Fig. 2) and secondary elements as superposed curves.</p>

      <fig id="F2" specific-use="star"><label>Figure 2</label><caption><p id="d2e1698">XRF analyses of top layers (0–1 cm) of the 12 sediment cores sampled in 2020 on the Lucky Strike vent field (Mid-Atlantic Ridge). Ba and Cu are plotted as minor elements (right scale).</p></caption>
          <graphic xlink:href="https://bg.copernicus.org/articles/23/5019/2026/bg-23-5019-2026-f02.png"/>

        </fig>

      <p id="d2e1707">CaO represented the main component of stations MS N and MS Ref ranging from 24 % to 35 %. SiO<sub>2</sub> values ranged from 8 % (station Cap_CL6) to 42 % (station MS_CL6). Fe<sub>2</sub>O<sub>3</sub> and S were the most abundant elements in station Cap_CL6, reaching 46 % and 14 %, respectively. This station also showed peaks of Ba (4.4 %) and Cu (4.9 %). Fe<sub>2</sub>O<sub>3</sub> (36 %) and MnO (8 %) were high in station ET W_CL6. Finally, relatively high Fe<sub>2</sub>O<sub>3</sub> (21 %) and Ba (2.8 %) have been measured in station SC_CL6. Major elements signature of surface sediments is related to mixing of particles form three different origin (Fig. 3): (1) pure pelagic sediments (carbonate), (2) pure metalliferous sediments (sulfides and/or oxides) and (3) mafic rocks (i.e., basalt) from the oceanic crust.</p>

      <fig id="F3" specific-use="star"><label>Figure 3</label><caption><p id="d2e1777">Bolström diagram representing the geochemical analyses of the top sediment layers (0–1 cm) in the peripheries of four active edifices on the Lucky Strike vent field (Mid-Atlantic Ridge), corresponding to cores analyzed for foraminiferal analyses.</p></caption>
          <graphic xlink:href="https://bg.copernicus.org/articles/23/5019/2026/bg-23-5019-2026-f03.png"/>

        </fig>

      <p id="d2e1786">Sediments from Montsegur Ref show only little hydrothermal particles contribution and plot close to the mean pelagic sediment composition. Sediments from Capelinhos and two from Eiffel Tower W plot inside the metalliferous sediment field (Fig. 3) indicating a strong hydrothermal influence, with high dissolved metals content in pore water profiles (Fig. S2). Sediments from Montsegur S and South Crystal plot on a mixing line between metalliferous sediments and mafic rocks. Distribution of other sediments in Fig. 3 indicate a variable mixture of pelagic sediments, mafic rocks fragments and metalliferous sediments.</p>
      <p id="d2e1789">Sedimentation rates have been calculated from two different sites (Fig. S3), one in the vicinity of the Eiffel Tower edifice (ET E_CL7) and one in the south periphery of Lucky Strike (MS Ref_CL6). These sedimentation rates showed relatively stable trends, especially for the station MS Ref_CL6, indicating a mean value of 2.3 cm kyr<sup>−1</sup>, classical for deep sea Atlantic sediments (Levin and Gooday, 2003). At the basis of the Eiffel Tower edifice, the sedimentation rate was 4.3 cm kyr<sup>−1</sup>.</p>
      <p id="d2e1816">Inorganic and organic carbon as well as <inline-formula><mml:math id="M83" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">13</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>C of organic carbon have been measured on surface sediment samples (0–1 cm) and summarized in Table 2. Total carbon (TC) data showed maximal values in MS Ref stations, exceeding 7.5 %. Minimum values (<inline-formula><mml:math id="M84" display="inline"><mml:mo lspace="0mm">&lt;</mml:mo></mml:math></inline-formula> 1 %) were obtained in the three cores targeting microbial mats (ET W_CL11, MS_CL6 and MS_CL11) and in the SC_CL6 core. Maximal total organic carbon (TOC) values were obtained in station MS N_CL11, Cap_CL6 and MS Ref. <inline-formula><mml:math id="M85" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">13</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>C<sub>TOC</sub> ranged from <inline-formula><mml:math id="M87" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula> 25.4 ‰ (ET W_CL11) to <inline-formula><mml:math id="M88" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula> 22.3 ‰ (MS Ref_CL11).</p>

<table-wrap id="T2" specific-use="star"><label>Table 2</label><caption><p id="d2e1875">Organic and inorganic carbon data.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="6">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="right"/>
     <oasis:colspec colnum="3" colname="col3" align="right"/>
     <oasis:colspec colnum="4" colname="col4" align="right"/>
     <oasis:colspec colnum="5" colname="col5" align="right"/>
     <oasis:colspec colnum="6" colname="col6" align="right"/>
     <oasis:thead>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Core</oasis:entry>
         <oasis:entry colname="col2">TC (%)</oasis:entry>
         <oasis:entry colname="col3">TOC (%)</oasis:entry>
         <oasis:entry colname="col4">TOC st. dev.</oasis:entry>
         <oasis:entry colname="col5"><inline-formula><mml:math id="M89" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">13</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>C<sub>TOC</sub></oasis:entry>
         <oasis:entry colname="col6"><inline-formula><mml:math id="M91" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">13</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>C<sub>TOC</sub> st. dev.</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>
         <oasis:entry colname="col1">MS N_CL6</oasis:entry>
         <oasis:entry colname="col2">2.19</oasis:entry>
         <oasis:entry colname="col3">0.17</oasis:entry>
         <oasis:entry colname="col4">0.002</oasis:entry>
         <oasis:entry colname="col5"><inline-formula><mml:math id="M93" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>23.40</oasis:entry>
         <oasis:entry colname="col6">0.01</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">MS N_CL10</oasis:entry>
         <oasis:entry colname="col2">4.68</oasis:entry>
         <oasis:entry colname="col3">0.22</oasis:entry>
         <oasis:entry colname="col4">0.012</oasis:entry>
         <oasis:entry colname="col5"><inline-formula><mml:math id="M94" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>22.63</oasis:entry>
         <oasis:entry colname="col6">0.35</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">MS N_CL11</oasis:entry>
         <oasis:entry colname="col2">4.90</oasis:entry>
         <oasis:entry colname="col3">0.32</oasis:entry>
         <oasis:entry colname="col4">0.033</oasis:entry>
         <oasis:entry colname="col5"><inline-formula><mml:math id="M95" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>23.13</oasis:entry>
         <oasis:entry colname="col6">0.11</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Cap_CL11</oasis:entry>
         <oasis:entry colname="col2">1.21</oasis:entry>
         <oasis:entry colname="col3">0.30</oasis:entry>
         <oasis:entry colname="col4">0.000</oasis:entry>
         <oasis:entry colname="col5"><inline-formula><mml:math id="M96" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>23.58</oasis:entry>
         <oasis:entry colname="col6">0.00</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">ET W_CL11</oasis:entry>
         <oasis:entry colname="col2">0.80</oasis:entry>
         <oasis:entry colname="col3">0.18</oasis:entry>
         <oasis:entry colname="col4">0.012</oasis:entry>
         <oasis:entry colname="col5"><inline-formula><mml:math id="M97" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>25.35</oasis:entry>
         <oasis:entry colname="col6">0.91</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">ET W_CL6</oasis:entry>
         <oasis:entry colname="col2">4.43</oasis:entry>
         <oasis:entry colname="col3">0.23</oasis:entry>
         <oasis:entry colname="col4">0.007</oasis:entry>
         <oasis:entry colname="col5"><inline-formula><mml:math id="M98" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>23.35</oasis:entry>
         <oasis:entry colname="col6">0.11</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">ET E_CL7</oasis:entry>
         <oasis:entry colname="col2">1.99</oasis:entry>
         <oasis:entry colname="col3">0.19</oasis:entry>
         <oasis:entry colname="col4">0.010</oasis:entry>
         <oasis:entry colname="col5"><inline-formula><mml:math id="M99" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>25.34</oasis:entry>
         <oasis:entry colname="col6">0.46</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">ET E_CL6</oasis:entry>
         <oasis:entry colname="col2">4.13</oasis:entry>
         <oasis:entry colname="col3">0.29</oasis:entry>
         <oasis:entry colname="col4">0.014</oasis:entry>
         <oasis:entry colname="col5"><inline-formula><mml:math id="M100" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>23.87</oasis:entry>
         <oasis:entry colname="col6">0.15</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">SC_CL6</oasis:entry>
         <oasis:entry colname="col2">0.73</oasis:entry>
         <oasis:entry colname="col3">0.22</oasis:entry>
         <oasis:entry colname="col4">0.014</oasis:entry>
         <oasis:entry colname="col5"><inline-formula><mml:math id="M101" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>25.11</oasis:entry>
         <oasis:entry colname="col6">0.35</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">MS_CL6</oasis:entry>
         <oasis:entry colname="col2">0.21</oasis:entry>
         <oasis:entry colname="col3">0.21</oasis:entry>
         <oasis:entry colname="col4">0.016</oasis:entry>
         <oasis:entry colname="col5"><inline-formula><mml:math id="M102" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>24.35</oasis:entry>
         <oasis:entry colname="col6">0.53</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">MS_CL11</oasis:entry>
         <oasis:entry colname="col2">0.39</oasis:entry>
         <oasis:entry colname="col3">0.17</oasis:entry>
         <oasis:entry colname="col4">0.013</oasis:entry>
         <oasis:entry colname="col5"><inline-formula><mml:math id="M103" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>24.66</oasis:entry>
         <oasis:entry colname="col6">0.41</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">MS Ref_CL11</oasis:entry>
         <oasis:entry colname="col2">7.66</oasis:entry>
         <oasis:entry colname="col3">0.26</oasis:entry>
         <oasis:entry colname="col4">0.004</oasis:entry>
         <oasis:entry colname="col5"><inline-formula><mml:math id="M104" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>22.30</oasis:entry>
         <oasis:entry colname="col6">0.10</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">MS Ref_CL6</oasis:entry>
         <oasis:entry colname="col2">8.02</oasis:entry>
         <oasis:entry colname="col3">0.27</oasis:entry>
         <oasis:entry colname="col4">0.002</oasis:entry>
         <oasis:entry colname="col5"><inline-formula><mml:math id="M105" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>22.34</oasis:entry>
         <oasis:entry colname="col6">0.11</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

</sec>
<sec id="Ch1.S4.SS2">
  <label>4.2</label><title>Foraminiferal distribution</title>
      <p id="d2e2335">In total, 54 species have been identified on the whole study area among 10 371 dead and living individuals observed. Living individuals showed contrasted densities and diversities (Table 1) with the highest number of individuals (101) and specific richness (22) in station MS Ref_CL6 and a minimum of 1 individual in station Cap_CL6. Relatively high diversity characterized stations MS Ref_CL6 and ET E_CL6 with Shannon indexes of 2.5. The rest of the stations displayed Shannon index values ranging from 0.6 to 2.3.</p>
      <p id="d2e2338">When focusing on the dead individuals, the relationship between the specific richness and the number of identified individuals showed similar trends for most of the stations and rarefaction curves indicated that more than 90 % of the species are identified within the first 300 individuals of the total assemblages (Fig. S1). Stations ET E_CL6 and MS Ref_CL6 showed the highest diversity with 30 and 28 species for 300 individuals, respectively. A minimum of 13 species for 300 individuals was observed in MS N stations. Three cores revealed the absence (or only one individual) of benthic foraminifera (MS_CL6 and CL11 and ET W_CL11) where microbial mats have been targeted for the sampling.</p>
      <p id="d2e2341">A PCA was conducted to investigate the environmental factors influencing living benthic foraminiferal communities (Fig. 4).</p>

      <fig id="F4" specific-use="star"><label>Figure 4</label><caption><p id="d2e2347">Principal Component Analysis with environmental parameters in blue and biological metrics in red. <inline-formula><mml:math id="M106" display="inline"><mml:mrow><mml:msup><mml:mi>H</mml:mi><mml:mo>′</mml:mo></mml:msup><mml:mo>=</mml:mo></mml:mrow></mml:math></inline-formula> shannon index, <inline-formula><mml:math id="M107" display="inline"><mml:mrow><mml:mi>S</mml:mi><mml:mo>=</mml:mo></mml:mrow></mml:math></inline-formula> specific richness, Indiv. <inline-formula><mml:math id="M108" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> number of individuals.</p></caption>
          <graphic xlink:href="https://bg.copernicus.org/articles/23/5019/2026/bg-23-5019-2026-f04.png"/>

        </fig>

      <p id="d2e2386">The first two axes account for 78.6 % of the total data variability, with PC1 explaining 54.8 % and PC2 explaining 23.8 % of the variance. PC1 seemed to correspond to hydrothermal inputs with positive loadings for the elements Fe<sub>2</sub>O<sub>3</sub>, S, Cu and Ba and slightly positive loading for TOC, while CaO displayed the most negative loading. Hence, the hydrothermal-derived elements on the PC1 particularly isolated the cores Cap_CL7 and Cap_CL6, representing the hydrothermal domain. SC_CL6 and ET E_CL7 also showed positive loading on PC1, suggesting a significant hydrothermal signal. The second axis suggested a control of the organic matter source with negative loadings of TC and <inline-formula><mml:math id="M111" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">13</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>C and CaO. Positive loadings on the PC2 were characterized by MnO and SiO<sub>2</sub>. All cores showing negative loadings for both PC1 and PC2 were characterized by a pelagic sedimentation dominated by phytodetrital organic matter (<inline-formula><mml:math id="M113" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">13</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>C <inline-formula><mml:math id="M114" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> <inline-formula><mml:math id="M115" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula> 20 ‰ and high CaO content), representing the reference domain with cores MS Ref_CL11 and MS Ref_CL6. The last domain visible on the PCA was intermediate, showing a lower contribution of elements from the pelagic sedimentation (CaO) or from hydrothermal input (Fe<sub>2</sub>O<sub>3</sub>, S, Cu and Ba), resulting in higher contribution of SiO<sub>2</sub>. MnO content suggested a slight influence of hydrothermal-derived particles, probably originating from low temperature Mn-oxides precipitation. The living foraminiferal signals plotted in the PCA demonstrate how fauna distributes on these environmental domains. The abundance of living benthic foraminifera was well correlated with the reference domain while faunal diversity better corresponded to the intermediate domain, suggesting an influence of the source of organic matter. BioEnv statistical tests (BEST, Primer v.06) was performed on both dead and living faunal communities with environmental data (Table 3). Both tests highlighted the control of Fe<sub>2</sub>O<sub>3</sub> alone for the living communities and Fe<sub>2</sub>O<sub>3</sub> with Ba for the dead ones as main control of faunal variability (Table 3), confirming the impact of hydrothermal-derived habitats at a regional scale.</p>

<table-wrap id="T3"><label>Table 3</label><caption><p id="d2e2520">Statistical test BioEnv (matrices correlation).</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="3">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="right"/>
     <oasis:colspec colnum="3" colname="col3" align="left"/>
     <oasis:thead>
       <oasis:row rowsep="1">
         <oasis:entry namest="col1" nameend="col3" align="center">BioEnv (living fauna). significance: 4 % </oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Variables</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M123" display="inline"><mml:mrow><mml:msup><mml:mi>R</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">Variables</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">number</oasis:entry>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3"/>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>
         <oasis:entry colname="col1">1</oasis:entry>
         <oasis:entry colname="col2">0.664</oasis:entry>
         <oasis:entry colname="col3">Fe<sub>2</sub>O<sub>3</sub></oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">2</oasis:entry>
         <oasis:entry colname="col2">0.659</oasis:entry>
         <oasis:entry colname="col3">Fe<sub>2</sub>O<sub>3</sub>. Ba</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">2</oasis:entry>
         <oasis:entry colname="col2">0.652</oasis:entry>
         <oasis:entry colname="col3">Fe<sub>2</sub>O<sub>3</sub>. Cu</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">3</oasis:entry>
         <oasis:entry colname="col2">0.651</oasis:entry>
         <oasis:entry colname="col3">Fe<sub>2</sub>O<sub>3</sub>. Ba. Cu</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry namest="col1" nameend="col3">BioEnv (dead fauna). significance: 2 % </oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Variables</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M132" display="inline"><mml:mrow><mml:msup><mml:mi>R</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">Variables</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">number</oasis:entry>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3"/>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">2</oasis:entry>
         <oasis:entry colname="col2">0.796</oasis:entry>
         <oasis:entry colname="col3">Fe<sub>2</sub>O<sub>3</sub>. Ba</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">3</oasis:entry>
         <oasis:entry colname="col2">0.796</oasis:entry>
         <oasis:entry colname="col3">Fe<sub>2</sub>O<sub>3</sub>. S. Ba</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">3</oasis:entry>
         <oasis:entry colname="col2">0.795</oasis:entry>
         <oasis:entry colname="col3">Fe<sub>2</sub>O<sub>3</sub>. Ba. Cu</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">4</oasis:entry>
         <oasis:entry colname="col2">0.795</oasis:entry>
         <oasis:entry colname="col3">Fe<sub>2</sub>O<sub>3</sub>. S. Ba. Cu</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

      <p id="d2e2854">The whole study area was dominated by <italic>Quinqueloculina auberiana</italic> and <italic>Fissurina orbignyana</italic> (the most abundant species among the <italic>Fissurina</italic> genus) (Fig. 5). In the southern most station, the Miliolida order was well represented with <italic>Q. auberiana</italic>, <italic>Pyrgo informata</italic>, <italic>Cribromiliolinella subvalvularis</italic>, <italic>Cruciloculina triangularis</italic> and <italic>Triloculina oblonga</italic> as well as other calcareous species <italic>Lobatula wuellerstorfi</italic> and <italic>Fissurina orbignyana</italic>. Non-calcareous species (agglutinated and monothalamids) were mainly present in intermediate stations (MS N; ET W and ET E) such as <italic>Martinottiella cylindrica, Karreriella bradyi</italic> and <italic>Vanhoeffenella</italic> sp. Among the most abundant species, <italic>Gavelinopsis translucens</italic> had its highest relative contribution in stations ET E_CL6 and SC_CL6, in the latter associated with <italic>Epistominella exigua</italic> and <italic>Cibicides pachyderma</italic>. Most common species are illustrated in plates (Fig. 6). Stations Cap_CL6 and Cap_CL7 were characterized by a strong dominance of <italic>Fissurina</italic> spp., (<inline-formula><mml:math id="M141" display="inline"><mml:mo lspace="0mm">&gt;</mml:mo></mml:math></inline-formula> 50 %) including all identified species from this genus (<italic>F. orbignyana, F. annectens, F. foliformis, F. laevigata</italic>).</p>

      <fig id="F5" specific-use="star"><label>Figure 5</label><caption><p id="d2e2920">Relative abundance (pie charts) and absolute number of individuals of the main benthic foraminiferal species (e.g., representing <inline-formula><mml:math id="M142" display="inline"><mml:mo>&gt;</mml:mo></mml:math></inline-formula> 5 %) of the total abundance with dead communities represented on the left (black numbers) and living communities on the right (red numbers). Note that all <italic>Rotalida</italic> species are in blue and all <italic>Miliolida</italic> species in yellow.</p></caption>
          <graphic xlink:href="https://bg.copernicus.org/articles/23/5019/2026/bg-23-5019-2026-f05.png"/>

        </fig>

      <fig id="F6a" specific-use="star"><label>Figure 6</label><caption><p id="d2e2945"> </p></caption>
          <graphic xlink:href="https://bg.copernicus.org/articles/23/5019/2026/bg-23-5019-2026-f06-part01.jpg"/>

        </fig>

      <fig id="F6b" specific-use="star"><label>Figure 6</label><caption><p id="d2e2956"><bold>(A)</bold> Scanning electronic microscope images of most common benthic foraminiferal species of the Lucky Strike vent field with (1) <italic>Cruciloculina triangulis</italic>, (2) <italic>Triloculina oblonga</italic>, (3) <italic>Quinqueloculina auberiana</italic>, (4) <italic>Pyrgo informata</italic>, (5) <italic>Nevillina coronata</italic>, (6) <italic>Cribromiliolinella subvalvularis</italic>, (7) <italic>A mmodiscus</italic> sp., (8) <italic>Spiroloculina</italic> sp.,(9) <italic>Pyrgo depressa</italic>, (10)<italic> Fissurina foliformis</italic>, (11) <italic>Parafissurina saturni</italic>, (12) <italic>Fissurina striata</italic>, (13) <italic>Fissurina orbignyana</italic>, (14) <italic>Fissurina anectens</italic>, (15) <italic>Favulina hexagona</italic>, (16) <italic>Lagena laevigata</italic>, (17) <italic>Reussolina laevis</italic>, (18) <italic>Lagena striata</italic>, (19) <italic>Uvigerina peregrina</italic>, (20) <italic>Uvigerina auberiana</italic>, (21) <italic>Eubulimina exilis</italic>, (22) <italic>Vaginulina</italic> sp., (23) <italic>Trifarina angulosa</italic>, (24) <italic>Globocassidulina subglobosa</italic>, (25) <italic>Melonis affinis</italic>, (26) <italic>Pullenia quinqueloba</italic>, (27) <italic>Alabaminella weddellensis</italic>, (28) <italic>Epistominella exigua</italic>, (29) <italic>Gavelinopsis translucens</italic>, (30) <italic>Laeticarinina pauperata</italic>, (31) <italic>Cibicides wuellerstorfi var. lobatulus</italic>, (32) <italic>Cibicides wuellerstorfi</italic>, (33) <italic>Martinottiella cylindrica</italic>, (34) <italic>Karreriella bradyi</italic>, (35) <italic>Vanhoeffenella</italic> sp., (36) <italic>Reophax agglutinatus</italic> and <bold>(B)</bold> images from stereoscopic microscope of (1) <italic>Cruciloculina triangulis</italic>, (2) <italic>Triloculina oblonga</italic>, (3) <italic>Quinqueloculina auberiana</italic>, (4) <italic>Pyrgo informata</italic>, (5) <italic>Cribromiliolinella subvalvularis</italic>, (6) <italic>Ammodiscus</italic> sp., (7) <italic>Spiroloculina</italic> sp., (8) <italic>Spiroloculina</italic> sp., (9) <italic>Fissurina foliformis</italic>, (10) <italic>Parafissurina saturni</italic>, (11) <italic>Fissurina orbignyana</italic>, (12) <italic>Fissurina anectens</italic>, (13) <italic>Favulina hexagona</italic>, (14) <italic> Lagena laevigata</italic>, (15) <italic>Reussolina laevis</italic>, (16) <italic>Lagena striata</italic>, (17) <italic>Uvigerina peregrina</italic>, (18) <italic>Uvigerina auberiana</italic>, (19) <italic>Eubulimina exilis</italic>, (20) <italic>Vaginulina</italic> sp., (21) <italic>Globocassidulina subglobosa</italic>, (22) <italic>Melonis affinis</italic>, (23) <italic>Pullenia quinqueloba</italic>, (24) <italic>Alabaminella weddellensis</italic>, (25) <italic>Epistominella exigua</italic>, (26) <italic>Gavelinopsis translucens</italic>, (27) <italic>Cibicides wuellerstorfi var. lobatulus</italic>, (28) <italic>Planulina ariminensis</italic>, (29) <italic>Martinottiella cylindrica</italic>, (30) <italic>Karreriella bradyi</italic>, (31) <italic>Vanhoeffenella</italic> sp., (32) <italic>Reophax agglutinatus</italic>.</p></caption>
          <graphic xlink:href="https://bg.copernicus.org/articles/23/5019/2026/bg-23-5019-2026-f06-part02.jpg"/>

        </fig>

      <p id="d2e3185">The RDA performed on the main species distribution selected only CaO and Fe<sub>2</sub>O<sub>3</sub> (<inline-formula><mml:math id="M145" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mo>&lt;</mml:mo></mml:mrow></mml:math></inline-formula> 0.05) when implementing the forward selection on environmental variables (Fig. 7). The RDA is significant (ANOVA-like permutation test, <inline-formula><mml:math id="M146" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mo>=</mml:mo></mml:mrow></mml:math></inline-formula> 0.007) and the first two axes represent together 54 % of the data variability. Main distinctions are visible along the pelagic to hydrothermal gradient with <italic>Q. auberiana</italic> and <italic>P. inornata</italic> dominant in the reference cores on the bottom right quadrant of the RDA, associated with pelagic sedimentation (correlated to CaO) while <italic>Fissurina orbignyana</italic> were dominant in cores Cap_CL6 and Cap_CL7, in the most intense hydrothermal domain in the top right quadrant (correlated to Fe<sub>2</sub>O<sub>3</sub>). Cores in other venting locations are intermediate, with an exception with the South Crystal's core, showing a distinct pattern with the dominance of <italic>E. exigua, G. translucens</italic> and <italic>C. pachyderma</italic> species.</p>

      <fig id="F7" specific-use="star"><label>Figure 7</label><caption><p id="d2e3262">Redundancy Analysis of the main benthic foraminiferal species (<inline-formula><mml:math id="M149" display="inline"><mml:mo lspace="0mm">&gt;</mml:mo></mml:math></inline-formula> 5 % of the total abundance) of the Lucky Strike vent field based on dead communities and environmental parameters of the top sediment layers (0–1 cm).</p></caption>
          <graphic xlink:href="https://bg.copernicus.org/articles/23/5019/2026/bg-23-5019-2026-f07.png"/>

        </fig>

</sec>
</sec>
<sec id="Ch1.S5">
  <label>5</label><title>Discussion</title>
<sec id="Ch1.S5.SS1">
  <label>5.1</label><title>Environmental control on faunal distribution</title>
      <p id="d2e3294">Visual observations of the habitats during the sampling showed homogenous and muddy sediment in the reference stations (MS_Ref), while larger grain size and heterogenous material characterized stations closer to the edifices. Microbial mats represented the last type of visual environments sampled, characterized by orange to brown biofilms. These three types of environments sampled were also suggested by the environmental PCA determining a pelagic domain dominated by carbonated sediments, a hydrothermal domain characterized by metal-rich sediments and microbial biofilms as benthic habitat. These habitats are controlled by the geological context, influencing the sedimentation rates, the quality and the source of the organic matter.</p>
      <p id="d2e3297">The Lucky Strike vent field developed on the summit of a large volcano (Ondréas et al., 2009) mainly composed of enriched mid-ocean ridge basalt (EMORB) characterized by high barium contents compared to normal MORB. This geological context allowed the enrichment in Fe and H<sub>2</sub>S in the area as well as Cu, S, Zn and Ba in the close vicinity of the black smokers (Cotte et al., 2020). Our results confirm a sedimentary content enriched in these elements at close periphery of active edifices, while further periphery mainly represents phytodetritic influence. The contribution of hydrothermal-derived material close to Eiffel Tower edifice (ET E_CL7, Fig. S3) hence represents about 2.0 cm kyr<sup>−1</sup> that corresponds to half of the sediment material. The elements measured in Capelinhos and South Crystal suggest an important geochemical maturation originating from the hydrothermally-derived metalliferous sediments, or more likely in Capelinhos from vestiges of inactive chimneys covering the sediment, as suggested by the pore water dissolved metals profiles (Fig. S2) thus implying a different potential impact on faunal distribution.</p>
      <p id="d2e3321">Inorganic carbon data appeared correlated with CaO content, mainly derived from the presence of planktonic foraminifera that were the most abundant in MS Ref stations according to visual stereoscopic microscope observations. Stable isotopic signature of the organic carbon in these stations (Table 2) demonstrated a classical marine signal of phytodetritic material (Meyers, 1994). More depleted <inline-formula><mml:math id="M152" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">13</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>C of the sedimentary organic carbon measured in the vicinity of hydrothermal edifices Eiffel Tower, Capelinhos and South Crystal and within microbial mats suggested a microbial <sup>13</sup>C depletion. Hence, the potential benthic foraminiferal food source varied from exclusive phytodetritic material in the MS Ref stations to mixed pelagic and microbial carbon sources in periphery stations, and exclusive microbial source in mats.</p>
      <p id="d2e3344">Even though statistical tests on environmental control on fauna indicate a first variance explanation based on sedimentary content (i.e., Fe, Ba and CaO), these parameters showed significant autocorrelations with TOC and <inline-formula><mml:math id="M154" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">13</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>C of the organic carbon, suggesting that hydrothermal-derived material is strongly linked with the quantity and source of organic matter available for foraminiferal communities and should be considered for faunal interpretation. Additionally, microbial biofilms were not included in statistical tests because of the absence of fauna, being nevertheless key for distribution understanding, since they represent a significant surface covering hydrothermal vent sediments but preventing its occurrence.</p>
</sec>
<sec id="Ch1.S5.SS2">
  <label>5.2</label><title>A toxic microbial biofilm for foraminifera?</title>
      <p id="d2e3366">The abundance of both living and fossil benthic foraminifera suggested a main control by organic carbon content in the sediment that was not directly connected to the influence of venting activity. In particular, the cores collected on the Zetaproteobacteria microbial mats (MS_CL11, MS_CL6 and ET W_CL11) revealed the absence of foraminifera. The visual observations of sediment samples pointed out the absence of all carbonated material, such as planktonic foraminifera, resulting in a very low total carbon and carbonate content (Table 2). There was no visual evidence for remaining organic lining of foraminifera after tests dissolution either, however a future check using molecular biology in these biofilms would better confirm this. These stalk-forming iron-oxidizing bacteria are known to produce flocculent iron oxide mats, which can be meters thick and cover hundreds of square meters (Emerson and Moyer, 2002). While oxidizing iron, they use Fe(II) and oxygen producing Fe(III) (Eq. 1), that also occurs through abiotic reaction that almost directly results in the production of iron oxyhydroxides at circumneutral pH through the reaction (Eq. 2) (Emerson et al., 2010). 

                <disp-formula specific-use="gather" content-type="numbered reaction"><mml:math id="M155" display="block"><mml:mtable displaystyle="true"><mml:mlabeledtr id="Ch1.R1"><mml:mtd><mml:mtext>R1</mml:mtext></mml:mtd><mml:mtd><mml:mrow><mml:mstyle class="stylechange" displaystyle="true"/><mml:msup><mml:mi mathvariant="normal">Fe</mml:mi><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>+</mml:mo></mml:mrow></mml:msup><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mo>+</mml:mo><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mn mathvariant="normal">0.25</mml:mn><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msub><mml:mi mathvariant="normal">O</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mo>+</mml:mo><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">H</mml:mi><mml:mo>+</mml:mo></mml:msup><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mo>→</mml:mo><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">Fe</mml:mi><mml:mrow><mml:mn mathvariant="normal">3</mml:mn><mml:mo>+</mml:mo></mml:mrow></mml:msup><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mo>+</mml:mo><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mn mathvariant="normal">0.5</mml:mn><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msub><mml:mi mathvariant="normal">H</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mi mathvariant="normal">O</mml:mi></mml:mrow></mml:mtd></mml:mlabeledtr><mml:mlabeledtr id="Ch1.R2"><mml:mtd><mml:mtext>R2</mml:mtext></mml:mtd><mml:mtd><mml:mrow><mml:mstyle displaystyle="true" class="stylechange"/><mml:msup><mml:mi mathvariant="normal">Fe</mml:mi><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>+</mml:mo></mml:mrow></mml:msup><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mo>+</mml:mo><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mn mathvariant="normal">0.25</mml:mn><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msub><mml:mi mathvariant="normal">O</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mo>+</mml:mo><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mn mathvariant="normal">2.5</mml:mn><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msub><mml:mi mathvariant="normal">H</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mi mathvariant="normal">O</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mo>→</mml:mo><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mi mathvariant="normal">Fe</mml:mi><mml:msub><mml:mfenced open="(" close=")"><mml:mi mathvariant="normal">OH</mml:mi></mml:mfenced><mml:mn mathvariant="normal">3</mml:mn></mml:msub><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mo>+</mml:mo><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mn mathvariant="normal">2</mml:mn><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">H</mml:mi><mml:mo>+</mml:mo></mml:msup></mml:mrow></mml:mtd></mml:mlabeledtr></mml:mtable></mml:math></disp-formula>

          In order to limit the precipitation of Fe(III); as well as produced by the abiotic iron oxidation in iron oxyhydroxides; they excrete acidic polysaccharids that acidify (to pH <inline-formula><mml:math id="M156" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 6) their microhabitat outside their cells in order to bind the Fe(III) and prevent its precipitation in minerals (Cohen, 2020). Hence, Zetaproteobacteria biofilms may significantly decrease the microenvironmental pH in their mats, resulting in the dissolution of fossil planktonic foraminifera and preventing benthic foraminiferal colonization in surrounding sediments. These microbial communities are abundant on basaltic-rich substrates at the Lucky Strike vent field where they use the structural Fe(II) from the basaltic glass (Henri et al., 2016). Whether the absence of benthic foraminifera is explained by the presence of the microbial mats themselves (competition or lack of sediment substratum) or by the pH of the biofilm is unclear. However, the absence of all carbonated tests (planktonic foraminifera, ostracods, bivalves, gastropods) in these cores, combined with a very low inorganic carbon content in the three “microbial mat” cores further support the hypothesis of a dissolution of all carbonates in the mat. The organic carbon source there, might be limited to the microbial community itself, without pelagic contribution. Considering the sedimentation rate (2.3 cm kyr<sup>−1</sup>) and the carbonate content in the pelagic end-member, this dissolution would result in a rate of 0.5 mg(CaCO<sub>3</sub>) cm<sup>−3</sup> yr<sup>−1</sup>, that might have a significant impact on regional carbon budget considering the area covered by these mats.</p>
</sec>
<sec id="Ch1.S5.SS3">
  <label>5.3</label><title>The pelagic end-member</title>
      <p id="d2e3569">In the control stations (MS Ref), the organic carbon content showed its higher values in the study area, though it remained low compared to classical deep-sea environments (e.g., Dessandier et al., 2016, 2019; Krüger et al., 2025). Notably, these stations were characterized by the most abundant and diverse communities of both fossil and living benthic foraminifera. The presence of miliolid species and <italic>L. wuellerstorfi</italic>, characterizing these stations, suggests low inputs of organic matter derived from phytodetritic deposits, as usually observed as controlling factor for these species in the deep sea (e.g., Mackensen et al., 1995; Murgese and De Deckker, 2005; Gooday et al., 2008). The main difference in the assemblages of benthic foraminifera between the reference and intermediate stations corresponds to the decrease of miliolid relative abundance with increasing proximity to the vents. This may be explained by the calcification strategy of this order that precipitate a shell with high Mg <inline-formula><mml:math id="M161" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> Ca carbonate, hence necessitating an elevated pH in comparison with that of the surrounding water (de Nooijer et al., 2009). Since the pH in sediments and water at Lucky Strike drastically decreases from the periphery to the edifices (Sarradin et al., 1999), the energetic effort to precipitate these shells may be limiting. These results are in contradiction with a recent study conducted at the Rainbow vent field (Krüger et al., 2025) where miliolids have been observed in the closest relationship with hydrothermal plume. This could be explained by both a different geochemical context in Rainbow vent field and a different sampling strategy, with cores collected between 200 m and 41 km of distance to vents in Krüger et al. (2025) while all cores were distant from less than 50 m to chimneys in the present study (except for MS_Ref stations). Hence the closest foraminiferal community to the vents in Krüger et al. (2025) is further from active chimneys than all stations considered in the present study. Some <italic>L. wuellerstorfi</italic> individuals observed in the present study morphologically resembles <italic>Lobatula lobatula</italic> taxon, conforming the shape of their test to the substrate where they are attached. Recently, it has been demonstrated that genetically identified <italic>L. wuellerstorfi</italic> flourishing on hard substrata present different morphologies from “classical” <italic>L. wuellerstorfi</italic> to ecophenotype <italic>L. wuellerstorfi</italic> var. <italic>lobatulus</italic> (Burkett et al., 2020). These authors proposed that both the substratum and microbial colonization influence the distribution of <italic>Cibicidae</italic>. <italic>Cibicides pachyderma</italic> is a facultative epifaunal species that preferentially lives as an infaunal dweller in moderate carbon flux areas, able to cover parts of its test by aggregates or algae in low pH environments (Wollenburg et al., 2018) where tests dissolution occurs to many deep-sea species (Corliss and Honjo, 1981; Murray and Alve, 1999; Pettit et al., 2013). Hence, this species may replace <italic>L. wuellerstorfi</italic> in environments characterized by harsher environmental conditions, such as slightly lower pH or because of a higher organic carbon flux due to the presence of microbes.</p>
</sec>
<sec id="Ch1.S5.SS4">
  <label>5.4</label><title>Intermediate habitats, a pool of diversity</title>
      <p id="d2e3618">The stations in the vicinity of hydrothermal edifices Eiffel Tower and Montsegur harbored abundant and diverse fossil fauna while the living community remained less developed. Interestingly, the faunal diversity of the living community around Eiffel Tower appeared relatively high, showing abundant non-calcareous species (e.g., <italic>Vanhoeffenela</italic> sp., <italic>Reophax agglutinatus, Martinotiella cylindrica</italic> and allogromid sp.) and <italic>Globocassidulina subglobosa</italic> that were rare in the rest of the stations. Monothalamids may be present in a greater extent due to harder substrata where they can attach their test, preferentially to most of the calcareous taxa. Their occurrence at Lucky Strike was however limited, in comparison with other deep-sea environments (e.g., Koho et al., 2007) potentially because of low pH microenvironments. As observed for agglutinated species in cold seeps (e.g., Heinz et al., 2005; Panieri and Sen Gupta, 2008; Martin et al., 2010, Dessandier et al., 2019), these species might not easily tolerate the environmental conditions derived from hydrothermal venting. Nevertheless, several agglutinated species represent pioneer recolonizers following the end of venting or sediment disturbance (Kitazato, 1995; Panieri, 2005) and may flourish on inactive chimneys. The cores collected in sediments enriched in iron and sulfur (Capelinhos) displayed generally lower dead faunal abundances than those from the intermediate stations due to very low living fauna. Interestingly, South Crystal site, that is more a mix of basalt and metalliferous sediment, is characterized by a substantial living individuals' density and a slightly different faunal distribution, with <italic>G. translucens</italic>, <italic>E. exigua</italic> and <italic>C. pachyderma</italic> as the most abundant species. This assemblage highlights a potential fresher organic material than in the other stations that may be linked to a higher microbial productivity, triggered by the high content in iron and sulfur. Sen Gupta and Aharon (1994) observed <italic>G. translucens </italic>as a dominant taxon in a bathyal vent community of the Gulf of Mexico, associated with bacterial (<italic>Beggiatoa</italic>) mats and tolerant to anoxic conditions and high H<sub>2</sub>S concentrations in sediments. Many opportunistic deep-sea species may experience dormancy phases during periods of starvation and are likely able to switch to a biologically active phase when phytodetritus pulses reach the seafloor (Gooday and Rathburn, 1999), with a response that differs at daily to seasonal scales. In bathyal north Atlantic environment, <italic>Quinqueloculina</italic> sp. has been observed as dominant in late summer, after the degradation of fresh phytodetritic material, replacing opportunistic species (e.g., <italic>Alabaminella weddellensis</italic>, <italic>E. exigua</italic>) at the sediment water interface, after a probable migration up from a shallow infaunal microhabitat (Gooday and Rathburn, 1999). This phenomenon could explain the dominance of <italic>Q. auberiana</italic> in our study area sampled in September while opportunistic species (<italic>G. translucens</italic> and <italic>E. exigua</italic> and <italic>A. weddellensis</italic>) are restricted to sediments harboring additional food sources represented by microbial communities. <italic>Epistominella exigua</italic> and <italic>A. weddellensis</italic> represent the most common species in the deep-sea Atlantic Ocean in the <inline-formula><mml:math id="M163" display="inline"><mml:mo>&gt;</mml:mo></mml:math></inline-formula> 63 <inline-formula><mml:math id="M164" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula> size fraction (Sun et al., 2006) as in the present study in intermediate stations. These opportunistic species flourish whenever suitable food sources – such as phytoplankton or microorganisms (Turley et al., 1993) – become available (Gooday, 1988).</p>
</sec>
<sec id="Ch1.S5.SS5">
  <label>5.5</label><title>Capelinhos, the sulfide-rich metalliferous habitat</title>
      <p id="d2e3710">The foraminiferal living community was absent in Capelinhos where the very high content in hydrothermal-derived elements has probably directly or indirectly restrained foraminiferal growth. However, considering the elevated number of fossil foraminifera in these two stations, it is clear that the microenvironment is not preventing colonization by benthic foraminifera as observed in the Zetaproteobacterial mats. An equilibrium between the source of energy that promotes microbial communities and the more classical marine conditions represented in the reference stations seems to be necessary for the development of these opportunistic species that can thrive in sediments slightly impacted by venting. Surprisingly, a strong fossil dominance of <italic>Fissurina orbignyana</italic> has been observed in the two Capelinhos stations as well as in one of the intermediate stations around Montsegur edifice. Very little is known about the ecology of the genus <italic>Fissurina</italic>, often observed in deep-sea environments, but never abundant enough to decipher its ecology. Its occurrence in both the intermediate and extreme environments (i.e., rich in Fe, S and Cu) suggest a wide range of tolerance for these single chambered specimens, which would necessitate further investigations allowing to find more living individuals to determine their single ecology. Even though Capelinhos edifice lies in a different chemical domain than other edifices of the Lucky Strike vent field (Chavagnac et al., 2018), with the most enriched metal content (Cotte et al., 2020), we cannot exclude that the observed fossil <italic>Fissurina</italic> species come from a period of a less intense vent activity. Alternatively, the more intense hydrothermal impact observed in this particular core may reflect a different source of particles that could originate from dismantled past chimneys, hence representing harsher environment than diffusion of metal from particles deposited through the hydrothermal plume. Further investigations on the tolerance of these species for high metallic content may be of interest in the future to better understand the ecology of this group.</p>
</sec>
</sec>
<sec id="Ch1.S6" sec-type="conclusions">
  <label>6</label><title>Conclusions</title>
      <p id="d2e3731">Extensive symbiotic relationships between microorganisms and macrofauna, as well as too limited number of studies on vent meiofauna, lead to a bypass of meiofauna as major contributors in the vent trophic network. This limited role in energy transfer may explain why meiofauna – especially foraminifera – has received relatively little attention in these ecosystems. However, benthic foraminifera represent an essential chain of the deep-sea food web, making a link between phytoplanktonic and microbial communities on which they feed and a substantial number of predators from the metazoans feeding on foraminifera. In hydrothermal systems, the environmental conditions represent a challenge for these organisms to thrive (e.g., low pH, high H<sub>2</sub>S content, hard substrates and in particular low organic carbon content), hence leading to a crucial role of microbial communities as an additional food source but also by the role they have in changing the environment (e.g., consuming H<sub>2</sub>S).</p>
      <p id="d2e3752">Our results demonstrated that the microbial food source allowed benthic foraminiferal opportunistic species to flourish in the direct vicinity to active chimneys where the elements present in the sediment (Fe, S) originated high microbial content. In the reference cores, the foraminiferal community showed adaptation for more refractory organic matter, which is partially explained by the period of sampling. Directly opposed to this trend, the establishment of biofilm from Zetaproteobacteria seems to trigger the dissolution of all carbonated shells. A direct in situ pH measurement would confirm this hypothesis hence representing a key perspective of this work. The absence of agglutinated or organic-walled specimens in these mats even revealed a toxic environment for all benthic foraminifera. This observation questions the role of these extended microbial mats in the carbon fluxes in hydrothermal vent systems, with the dissolution of foraminiferal tests that might export carbon from the sediment to the water column. The reasons for the establishment of mats of Zetaproteobacteria remains uncertain (Emerson et al., 2010), and no direct link can be made when focusing on the iron content in the sediment. This observation points out the extreme heterogeneity of the hydrothermal-derived habitats that affects the regional biodiversity where benthic foraminifera represent a powerful bio-indicator.</p>
      <p id="d2e3755">In the absence of symbiosis between microbes and macrofauna that occurs only in active hydrothermal vents, benthic foraminifera may represent a key element of the trophic chain for the inactive systems. In metalliferous sediments as the intermediate stations studied here, benthic foraminiferal communities showed their highest diversities. These environments represent good analogues for inactive hydrothermal chimneys inhabited by microbial communities that use reduced elements accumulated in the sediments. These systems are nowadays under the scope of the society for economic interests in metalliferous sediment associated to sulfides deposits and consequently threaten. Hence, the local high diversity observed would be clearly impacted by removing the life conditions of benthic foraminifera. Therefore, a good knowledge on benthic foraminiferal ecology from these environments, close to active vents, in the periphery and on inactive chimneys appears essential to prevent any damage in the deep-sea biodiversity. Further analyses, especially regarding the trophic networks would greatly improve this knowledge in the future.</p>
</sec>

      
      </body>
    <back><notes notes-type="dataavailability"><title>Data availability</title>

      <p id="d2e3762">All data have been provided as supplementary material.</p>
  </notes><app-group>
        <supplementary-material position="anchor"><p id="d2e3765">The supplement related to this article is available online at <inline-supplementary-material xlink:href="https://doi.org/10.5194/bg-23-5019-2026-supplement" xlink:title="zip">https://doi.org/10.5194/bg-23-5019-2026-supplement</inline-supplementary-material>.</p></supplementary-material>
        </app-group><notes notes-type="authorcontribution"><title>Author contributions</title>

      <p id="d2e3774">PAD designed the experiments, identified benthic foraminifera and analyzed the data. GP and JS supervised the project. RL contributed to statistical analyses and figures. EP, AB and SC analyzed and interpreted the geological data. AB and SF contributed to biological sampling and samples processing. All authors revised the manuscript.</p>
  </notes><notes notes-type="competinginterests"><title>Competing interests</title>

      <p id="d2e3780">The contact author has declared that none of the authors has any competing interests.</p>
  </notes><notes notes-type="disclaimer"><title>Disclaimer</title>

      <p id="d2e3786">Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this paper. The authors bear the ultimate responsibility for providing appropriate place names. Views expressed in the text are those of the authors and do not necessarily reflect the views of the publisher.</p>
  </notes><ack><title>Acknowledgements</title><p id="d2e3793">The authors would like to thank the captain and the crew of the R/V <italic>Pourquoi Pas?</italic> and the chief scientist P. M. Sarradin. We thank J. H. Ogor; M. Hubert; Y. Germain and N. Gayet for their technical help in data acquisition.</p></ack><notes notes-type="financialsupport"><title>Financial support</title>

      <p id="d2e3801">This work was supported by ISblue project, Interdisciplinary graduate school for the blue planet (ANR-17-EURE-0015) and co-funded by a grant from the French government under the program “Investissements d'Avenir”, and by a grant from the Regional Council of Brittany (SAD programme).</p>
  </notes><notes notes-type="reviewstatement"><title>Review statement</title>

      <p id="d2e3807">This paper was edited by Mark Lever and reviewed by two anonymous referees.</p>
  </notes><ref-list>
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