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<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Mar. Sci.</journal-id>
<journal-title>Frontiers in Marine Science</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Mar. Sci.</abbrev-journal-title>
<issn pub-type="epub">2296-7745</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fmars.2025.1500594</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Marine Science</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Carbon and nitrogen stocks in sediment at Pen&#xed;nsula Vald&#xe9;s Biosphere Reserve: novel insights into the potential contribution of large marine vertebrates to carbon sequestration</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Jim&#xe9;nez-Ramos</surname>
<given-names>Roc&#xed;o</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
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</contrib>
<contrib contrib-type="author" equal-contrib="yes" corresp="yes">
<name>
<surname>Egea</surname>
<given-names>Luis G.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>D&#x2019;Agostino</surname>
<given-names>Valeria C.</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
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<contrib contrib-type="author">
<name>
<surname>Degrati</surname>
<given-names>Mariana</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Loizaga</surname>
<given-names>Roc&#xed;o</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
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<aff id="aff1">
<sup>1</sup>
<institution>Instituto Universitario de Investigaci&#xf3;n Marina (INMAR), Campus de Excelencia Internacional del Mar (CEI&#xb7;MAR), Departamento de Biolog&#xed;a, Facultad de Ciencias del Mar y Ambientales Universidad de C&#xe1;diz, Campus Universitario de Puerto Real</institution>, <addr-line>C&#xe1;diz</addr-line>, <country>Spain</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Centro para el Estudio de Sistemas Marinos (CESIMAR), Consejo Nacional de Investigaciones Cient&#xed;ficas  y T&#xe9;cnicas (CONICET), Puerto Madryn</institution>, <addr-line>Chubut</addr-line>, <country>Argentina</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Facultad de Ciencias Naturales y Ciencias de la Salud (FCNyCS), Universidad de la Patagonia San Juan Bosco (UNPSJB), Puerto Madryn</institution>, <addr-line>Chubut</addr-line>, <country>Argentina</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Renato S. Carreira, Pontifical Catholic University of Rio de Janeiro, Brazil</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Songlin Liu, Chinese Academy of Sciences (CAS), China</p>
<p>Claudia Hamacher, Rio de Janeiro State University, Brazil</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Luis G. Egea, <email xlink:href="mailto:gonzalo.egea@uca.es">gonzalo.egea@uca.es</email>
</p>
</fn>
<fn fn-type="equal" id="fn003">
<p>&#x2020;These authors have contributed equally to this work</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>14</day>
<month>02</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>12</volume>
<elocation-id>1500594</elocation-id>
<history>
<date date-type="received">
<day>25</day>
<month>09</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>27</day>
<month>01</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Jim&#xe9;nez-Ramos, Egea, D&#x2019;Agostino, Degrati and Loizaga</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Jim&#xe9;nez-Ramos, Egea, D&#x2019;Agostino, Degrati and Loizaga</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<p>Although policymakers and stakeholders are beginning to acknowledge the importance of the marine biosphere in blue carbon services, the role of large marine vertebrates in the marine carbon and nitrogen cycle and especially in carbon sequestration has not yet been fully understood. Large marine vertebrates store only a small percentage of total oceanic carbon in their bodies, but they can provide important and lasting contributions to the oceanic carbon flux. The Pen&#xed;nsula Vald&#xe9;s Biosphere Reserve in southwestern Argentina was partially established to conserve these large marine vertebrates, including the South American sea lion (<italic>Otaria flavescens</italic>) and southern right whale (<italic>Eubalaena australis</italic>). Three locations in Peninsula Vald&#xe9;s were sampling for the proximity of marine vertebrate populations in the area and the presence of salt marshes to assess the organic carbon (OC) and total nitrogen (TN) stocks in the top 1 m of sediment. Our work provides the first quantitative data on the OC and TN sequestered in the coastal sediments of Pen&#xed;nsula Vald&#xe9;s and shows that this protected area contributes significantly to blue carbon by storing relevant quantities of OC (140 to 317 Mg OC ha<sup>-1</sup>) and nitrogen (7.3 to 22.9 Mg TN ha<sup>-1</sup>). Specifically, we found that salt marshes and terrestrial plants were the main C sources in each sediment core, but a non-negligible proportion (from 0.8 to 6.8% dry weight) of the OC stocks showed an isotopic signal from the large vertebrates that usually inhabit the area. Therefore, our results provide novel hypotheses about the potential contribution of large marine vertebrates as an OC vector in coastal systems and may serve as a basis for further investigation about their role into coastal blue carbon.</p>
</abstract>
<abstract abstract-type="graphical">
<title>Graphical Abstract</title>
<p>
<graphic xlink:href="fmars-12-1500594-g006.tif" position="anchor"/>
</p>
</abstract>
<kwd-group>
<kwd>blue carbon</kwd>
<kwd>
<italic>Eubalaena australis</italic>
</kwd>
<kwd>nitrogen sequestration</kwd>
<kwd>
<italic>Otaria flavescens</italic>
</kwd>
<kwd>salt marshes</kwd>
<kwd>southern right whales</kwd>
<kwd>South American sea lions</kwd>
<kwd>sediment organic carbon</kwd>
</kwd-group>
<counts>
<fig-count count="5"/>
<table-count count="1"/>
<equation-count count="0"/>
<ref-count count="105"/>
<page-count count="15"/>
<word-count count="7603"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Marine Biogeochemistry</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>In the last decade, the ocean has absorbed a quarter of the Earth&#x2019;s greenhouse gas emissions in the form of carbon (C) buried in marine sediments (<xref ref-type="bibr" rid="B36">Friedlingstein et&#xa0;al., 2022</xref>) or C transformed into recalcitrant dissolved molecules (i.e., resistant to rapid biological decomposition; <xref ref-type="bibr" rid="B4">Baltar et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B54">Jim&#xe9;nez-Ramos et&#xa0;al., 2022</xref>). In either case, the C becomes &#x201c;locked&#x201d; in the ocean for thousands of years. This type of carbon sequestration can therefore serve as a relevant nature-based solution (NbS) for climate change mitigation (<xref ref-type="bibr" rid="B52">IUCN, 2020</xref>; <xref ref-type="bibr" rid="B63">Macreadie et&#xa0;al., 2021</xref>). However, NbS have historically been rooted almost exclusively in terrestrial ecosystems (referred to as &#x2018;green carbon&#x2019;), while ocean-based solutions (referred to as &#x2018;blue carbon&#x2019;) have lagged behind (<xref ref-type="bibr" rid="B63">Macreadie et&#xa0;al., 2021</xref>). Blue carbon habitats, which have been widely recognized for their ability to store and sequester autochthonous and allochthonous C, include mangrove forests, seagrass meadows, and salt marshes (<xref ref-type="bibr" rid="B73">Nellemann et&#xa0;al., 2009</xref>; <xref ref-type="bibr" rid="B47">Hilmi et&#xa0;al., 2021</xref>). However, the C cycle is much more complex in marine habitats relative to terrestrial habitats. For example, the marine C cycle encompasses both organic and inorganic forms of C in both dissolved and particulate states as they pass through other media, including water columns and living organisms in the sea (<xref ref-type="bibr" rid="B15">Ciais et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B100">Turrell et&#xa0;al., 2023</xref>). Furthermore, many natural processes and ecosystem components contribute to C sequestration and burial (<xref ref-type="bibr" rid="B49">Howard et&#xa0;al., 2017</xref>). Indeed, the &#x2018;blue biosphere&#x2019; is beginning to be acknowledged as an important NbS in the policy and management arena (<xref ref-type="bibr" rid="B58">Krabbe et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B78">P&#xe9;rez et&#xa0;al., 2024</xref>). In this regard, recent publications have specifically focused on the role of large marine vertebrates for the oceanic C cycle and C sequestration (<xref ref-type="bibr" rid="B86">Roman et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B12">Chami et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B66">Mariani et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B67">Martin et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B77">Pearson et&#xa0;al., 2023</xref>).</p>
<p>Marine vertebrates play an important role transporting marine nutrients, including organic C, when they move throughout the marine environment. For example, salmon (<xref ref-type="bibr" rid="B34">Field and Reynolds, 2011</xref>), sea turtles (<xref ref-type="bibr" rid="B10">Bouchard and Bjorndal, 2000</xref>) and penguins (<xref ref-type="bibr" rid="B32">Erskine et&#xa0;al., 1998</xref>) congregate in defined areas of the ocean at specific times of year for feeding or breeding. These natural congregations trigger the accumulation of feces, exuviae (i.e., sloughed skin), and carcasses, all of which are rich in organic C. Likewise, buoyant fecal plumes released by whales can provide limiting nutrient concentrations up to seven orders of magnitude higher than background seawater concentrations, thereby boosting phytoplankton productivity (<xref ref-type="bibr" rid="B87">Roman and McCarthy, 2010</xref>; <xref ref-type="bibr" rid="B81">Ratnarajah et&#xa0;al., 2016</xref>). Other large marine mammals like pinnipeds (e.g., <italic>Otaria flavescens</italic>) that typically feed offshore, reproduce and rest on the coast, where their excrement, molted skin, placenta, and carcasses accumulate (<xref ref-type="bibr" rid="B17">Crespo et&#xa0;al., 2021</xref>). Therefore, the large variety of ecological interactions between marine vertebrates and their environment, which include feeding and reproductive habits, vast migrations across oceans, and death, all contribute to multiple exchanges within the C cycle, many still disregarded (<xref ref-type="bibr" rid="B67">Martin et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B85">Rold&#xe1;n et&#xa0;al., 2022</xref>).</p>
<p>Coastal areas that are known for harboring high concentrations of large marine vertebrates can serve as local hotspots for marine carbon exchange. As noted above, the vast amount of fecal material, exuviae, prey scraps, and carcasses produced in these locations may introduce considerable pulses of C (<xref ref-type="bibr" rid="B65">Manno et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B77">Pearson et&#xa0;al., 2023</xref>), some of which can be accumulated and stored in marine sediments. However, previous studies in coastal areas with a high density of whales (<xref ref-type="bibr" rid="B79">Pershing et&#xa0;al., 2010</xref>; <xref ref-type="bibr" rid="B77">Pearson et&#xa0;al., 2023</xref>) have focused on the pulses of C to deep waters rather than the C deposited within the coastal system. This focus is probably because the lack of natural systems in those areas with a high ability to trap C from the water column &#x2013;such as vegetated coastal ecosystems. However, in high-tide and sheltered coastal systems, wave and tidal action can promote the deposit of marine organic C on shores (<xref ref-type="bibr" rid="B75">Orr et&#xa0;al., 2005</xref>; <xref ref-type="bibr" rid="B46">Heiss, 2020</xref>) in the form of algae, small crustaceans, or drift macrophytes. In these protected coastal systems, organic matter is degraded and buried as the coast profile cycles through accretionary and depositional stages (<xref ref-type="bibr" rid="B35">Ford et&#xa0;al., 1999</xref>; <xref ref-type="bibr" rid="B29">Dugan et&#xa0;al., 2011</xref>). Likewise, high-tide and sheltered coastal systems that are dominated by high densities of large vertebrates may represent important areas of vertebrate-derived C deposition. We therefore hypothesized that the C from large marine vertebrates could accumulate in the sediments of protected coastal areas where these species are densely populated.</p>
<p>Pen&#xed;nsula Vald&#xe9;s Biosphere Reserve was identified as a World Natural Heritage Site by UNESCO in 1999. The coastal system in this area mainly features shallow bays with extensive mudflats and some areas covered with salt marshes (<xref ref-type="bibr" rid="B2">&#xc1;lvarez et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B84">R&#xed;os et&#xa0;al., 2018</xref>). This Biosphere Reserve is considered a transition area between the Argentina and Magallanica marine biogeographic regions, resulting in a high diversity of marshes with muddy and rocky bottoms (<xref ref-type="bibr" rid="B9">Bortolus et&#xa0;al., 2009</xref>). Furthermore, Pen&#xed;nsula Vald&#xe9;s is one of the most important calving grounds for the southwestern Atlantic population of the southern right whale (<italic>Eubalaena australis</italic>) (<xref ref-type="bibr" rid="B22">D&#x2019;Agostino et&#xa0;al., 2023</xref>), which numbers approximately 1,707 individuals (<xref ref-type="bibr" rid="B18">Crespo et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B88">Romero et&#xa0;al., 2022</xref>). Relevant mortality events of adults and calves have been documented in the area (<xref ref-type="bibr" rid="B90">Rowntree et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B104">Wilson et&#xa0;al., 2016</xref>). Another abundant marine mammal in the Pen&#xed;nsula Vald&#xe9;s area is the South American sea lion (<italic>Otaria flavescens</italic>), which remains in the area year-round in high-density and stable population colonies (<xref ref-type="bibr" rid="B42">Grandi et&#xa0;al., 2008</xref>) estimating a total of 36,500 individuals in 34 colonies (<xref ref-type="bibr" rid="B44">Grandi et&#xa0;al., 2020</xref>). These features make the Pen&#xed;nsula Vald&#xe9;s Biosphere Reserve an excellent location to assess the contribution of large marine mammals to C sequestration in coastal systems. Our specific goal was to quantify the contribution of high-density populations of large marine mammals to soil C stocks in sheltered coastal systems. We specifically hypothesized that (i) South American sea lions and southern right whales, the two dominant marine mammals in this reserve, transfer a significant amount of offshore C to coastal systems; and (ii) the blue carbon in vegetated coastal communities within these systems contain significant contributions from large marine vertebrate species.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<label>2</label>
<title>Materials and methods</title>
<sec id="s2_1">
<label>2.1</label>
<title>Study area</title>
<p>The study was performed in the Pen&#xed;nsula Vald&#xe9;s Biosphere Reserve, Argentina (hereafter referred to as &#x2018;Pen&#xed;nsula Vald&#xe9;s&#x2019;) in February 2022. The peninsula itself is surrounded by Golfo Nuevo (at the southern margin) and Golfo San Jos&#xe9; (at the northern margin), two protected gulfs of 2,500 and 817 km<sup>2</sup> in size, respectively. Both gulfs have a semidiurnal tidal regime; with average amplitude of 1.9 m in Golfo Nuevo and mean amplitude between 7.01 and 4.57 m in Golfo San Jos&#xe9; (<xref ref-type="bibr" rid="B21">D&#x2019;Agostino et&#xa0;al., 2018</xref>). The entire Pen&#xed;nsula Vald&#xe9;s area was designated as a World Heritage Site and Biosphere Reserve by UNESCO due to its significance for the conservation of large marine vertebrate populations. In general, this reserve provides a natural laboratory for studying the effects of marine mammals on C sequestration because it is a dynamic coastal zone the contains active spits, bays that provide critical marine mammal habitat, coastal lagoons, numerous marshes and muddy bottoms (<xref ref-type="bibr" rid="B84">R&#xed;os et&#xa0;al., 2018</xref>). To test the hypothesis raised that the C from large marine vertebrates could accumulate in the sediments of protected coastal areas where these species are densely populated, we select three locations in Pen&#xed;nsula Vald&#xe9;s based on its proximity to high concentration of marine vertebrate populations in the area and the presence or absence of coastal vegetated communities. In addition, the three study sites are protected from human activities, where tourism and small-scale economic activities are strictly regulated. In this way, these sites were representative of the Pen&#xed;nsula Vald&#xe9;s Biosphere Reserve. Particularly, the three study sites were: i) Riacho San Jos&#xe9;, a saltmarsh dominated by <italic>Spartina</italic> spp. on the west coast of the Golfo San Jos&#xe9;; ii) Caleta Vald&#xe9;s, a semi-diurnal coastal lagoon dominated by <italic>Sarcocornia</italic> spp. located at the eastern and external side of Pen&#xed;nsula Vald&#xe9;s; and iii) Punta Loma, a protected area with restricted access in Golfo Nuevo, with sandy and largely unvegetated cliffs located 15.5 km from the city of Puerto Madryn (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Map of the study area (Pen&#xed;nsula Vald&#xe9;s Biosphere Reserve; Chubut, Argentina) and sampling locations in <bold>(A)</bold> Riacho San Jos&#xe9;, <bold>(B)</bold> Caleta Vald&#xe9;s and <bold>(C)</bold> Punta Loma.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-12-1500594-g001.tif"/>
</fig>
<p>Our first site, Riacho San Jos&#xe9;, is a restricted-entrance embayment characterized by extensive <italic>Spartina alterniflora</italic> Loesel meadows as well as spotted salt marsh areas dominated by <italic>Sarcocornia perennis</italic> (P. Mill.) (<xref ref-type="bibr" rid="B9">Bortolus et&#xa0;al., 2009</xref>). The area was included in the RAMSAR convention list for conservancy in 2012 (<xref ref-type="bibr" rid="B16">Committee on Characterization of Wetlands, 1995</xref>). Our second site, Caleta Vald&#xe9;s, is a coastal lagoon 30 km long. At its mouth on the southern end, water exchange and a gravel bank terminate the lagoon and generate a 200 m wide channel with a mean depth of 5 m (<xref ref-type="bibr" rid="B57">Kokot et&#xa0;al., 2005</xref>). We chose this study area because of its extensive <italic>Sarcocornia</italic>-dominated marsh and muddy sediments. This area is used by Magellanic penguins (<italic>Spheniscus magellanicus</italic>), South American sea lions (<italic>O. flavescens</italic>), and orcas (<italic>Orcinus orca</italic>) for resting, breeding, and hunting during the high tidal period (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). Our last study area, Punta Loma, is a Natural Protected Area with restricted access in which a South American sea lion (<italic>O. flavescens</italic>) rookery is established year-round (<xref ref-type="bibr" rid="B42">Grandi et&#xa0;al., 2008</xref>). Punta Loma is formed by a rocky platform in the intertidal zone and an active cliff of sedimentary clay where can be observed colonies of the South American tern (<xref ref-type="bibr" rid="B33">Faria et&#xa0;al., 2010</xref>) and the black-necked cormorant (<xref ref-type="bibr" rid="B94">Sapoznikow and Quintana, 2008</xref>). Sea lion populations use the sedimentary clay canals in this area for resting and breeding (<xref ref-type="bibr" rid="B24">Dans et&#xa0;al., 2004</xref>). The area is also characterized mixed spots of bushy vegetation dominated by the perennial grass <italic>Pappostipa</italic> sp<italic>eciosa</italic> (Trin. &amp; Rupr.) Romasch and the evergreen perennial shrub <italic>Chuquiraga avellanedae</italic> Lorentz (<xref ref-type="bibr" rid="B8">Bisigato et&#xa0;al., 2016</xref>).</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Salt marsh vegetation cover (ha) and population abundance of marine mammals (in living biomass) and whale carcasses registered in the three sampling locations.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" colspan="4" align="center">Surface covered by saltmarsh vegetation (ha)</th>
</tr>
<tr>
<th valign="middle" align="center"/>
<th valign="middle" align="center">Riacho San Jos&#xe9;</th>
<th valign="middle" align="center">Caleta Vald&#xe9;s</th>
<th valign="middle" align="center">Punta Loma</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">
<italic>Spartina alterniflora</italic>
</td>
<td valign="middle" align="center">108</td>
<td valign="middle" align="center">89</td>
<td valign="middle" align="center">0</td>
</tr>
<tr>
<td valign="middle" align="center">
<italic>Spartina densiflora</italic>
</td>
<td valign="middle" align="center">23</td>
<td valign="middle" align="center">25</td>
<td valign="middle" align="center">0</td>
</tr>
<tr>
<td valign="middle" align="center">
<italic>Sarcocornia perennis</italic>
</td>
<td valign="middle" align="center">225</td>
<td valign="middle" align="center">329</td>
<td valign="middle" align="center">0</td>
</tr>
<tr>
<td valign="middle" align="center">References</td>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B51">Isacch et&#xa0;al., 2006</xref>
</td>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B51">Isacch et&#xa0;al., 2006</xref>
</td>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B8">Bisigato et&#xa0;al., 2016</xref>
</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Sampling procedure</title>
<p>To ensure the representativity of sampling sites, the most dominant salt marsh species in Riacho San Jos&#xe9; (<italic>Spartina alterniflora</italic>) and Caleta Vald&#xe9;s (<italic>Sarcocornia perennis</italic>) were located. Thus, at Riacho San Jos&#xe9;, three sampling points dominated by <italic>Spartina alterniflora</italic> were sampled in zones where <italic>Eubalaena australis</italic> strandings are frequently found. The magnitude of the whale strandings in the study area up to 928 dead whales since 2003. The annual number of dead whales for the last study period (2022) was 73 (<xref ref-type="bibr" rid="B97">Sironi et&#xa0;al., 2022</xref>). Regarding Caleta Vald&#xe9;s and Punta Loma, the sampling points were taken in sedimentary areas where colonies of <italic>Otaria flavensis</italic> are found resting and breeding (<xref ref-type="bibr" rid="B24">Dans et&#xa0;al., 2004</xref>; <xref ref-type="bibr" rid="B44">Grandi et&#xa0;al., 2020</xref>). Three sampling points dominated by <italic>S. perennis</italic> saltmarsh were tested in Caleta Vald&#xe9;s; while the three sampling points in Punta Loma where characterized by bare sediment. To ensure the independence and representativeness of the samples, the sampling points in each location were spaced a minimum distance of 10 m apart and, in salt marsh areas, ensuring that the main vegetated species dominated at least 3 meters around the selected point. In this way the sampling strategy assured sampling in the most represented vegetated species, however, since we do not have historical data to be sure that the sediment core throughout the depth profile corresponds to the present species and the proximity of other vegetated species (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>), we use the cores as representative samples of the entire habitat (i.e., the salt marsh in the area) rather than representative of a specific saltmarsh species. At each sampling point, we collected a sediment core by manually hammering PVC pipes (150 cm length, 60 mm internal diameter) to a maximum penetration depth of 99 cm (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;1</bold>
</xref> in the <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Material</bold>
</xref>). We considered sediment compaction during coring to be a linear process and measured the degree of compaction based on the total length of the corer, the empty space inside the corer after the sediment sample had been cored but not retrieved, and the final length of sediment retrieved (<xref ref-type="bibr" rid="B41">Glew et&#xa0;al., 2001</xref>). In general, compaction ranged from 9 to 24% (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;1</bold>
</xref> in the <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Material</bold>
</xref>). We therefore report all variables for uncompressed depths. After collection, the cores were sealed at both ends and transported to our laboratory in vertical position, where they were then frozen until processed. The contributions of the main OM source to the sedimentary organic matter pool were identified at each location. As a result, we collected aboveground and belowground biomass samples from <italic>S. alterniflora</italic> and <italic>S. perennis</italic> (Riacho San Jos&#xe9;), <italic>S. perennis</italic> (Caleta Vald&#xe9;s), and <italic>P.</italic> sp<italic>eciosa</italic> and <italic>C. avellanedae</italic> (Punta Loma) for isotopic analysis (n = 6 in total). Samples of macroalgae species were taken in each sampling locations (e.g. <italic>Macrocystis</italic> sp.) as an allochthonous source. The samples of macrophytes were then transported to the laboratory under cool and dark conditions. The macrophytes biomass were gently cleaned with distilled water in the laboratory and oven-dried (60&#xb0;C, 72h). Dry samples of macrophytes biomass were homogenized in a ball mill for later analysis. Moreover, stable isotope signatures of particulate organic matter (POM) on tidal-influenced areas were also considered as allochthonous OM. We collected water samples near the subtidal sampling points in Riacho San Jos&#xe9; (n = 6) and Caleta Vald&#xe9;s (n = 6) during low tide. These samples were filtered with a syringe (GF/F 47 mm) to obtain suspended particulate organic matter (POM) and oven-dried (60 &#xb0;C, 72h). Stable isotope signatures of marine mammals were obtained from the literature (see <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;2</bold>
</xref> in the <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Material</bold>
</xref>). Only species with a record of strandings in the sampling locations were considered (such as <italic>E. australis</italic> and <italic>L. obscurus</italic> in Riacho San Jos&#xe9;), or if they use directly the sampling area for resting or breeding (for example, Caleta Vald&#xe9;s and Punta Loma by <italic>Otaria flavensis</italic>). The recorded isotopic signals of fish and plankton (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;2</bold>
</xref> in the <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Material</bold>
</xref>) were considered in these sampling areas being potentially linked to the sea lion&#x2019;s diet.</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Sediment core preparation and analysis</title>
<p>For analysis, the sediment cores were defrosted and opened lengthwise with an angle grinder. All geochemical analyses for the cores from Riacho San Jos&#xe9; and Caleta Vald&#xe9;s (n = 6) cores were conducted at 1 cm along the upper 30 cm. However, for Punta Loma cores, samples were extracted every 0.5 cm along the upper 10 cm, every 1 cm between 10 to 30 cm, and every 2 cm for every depth after 30 cm. The sediment samples were extracted from each core slice with a plastic syringe, lyophilized for 24 h, and weighed (dry weight, DW, &#xb1; 0.0001 g) to determine dry bulk density (DBD, g DW cm<sup>-3</sup>). From one half of core sediment samples grain size was classified into five different granulometry fractions using laser beam diffraction (Partica LA-950; HORIBA Instruments, Inc.) performed at Servizos de Apoio &#xe1; Investigaci&#xf3;n (SAI) of the University of A Coru&#xf1;a: clay (&lt; 6 &#x3bc;m), silt (6-60 &#x3bc;m), fine sand (60-200 &#x3bc;m), medium sand (200-600 &#x3bc;m) and coarse sand (&gt; 600 &#x3bc;m). Sediment samples were then ground into a fine powder and subdivided into two subsamples for organic and inorganic carbon analyses, respectively. All carbon measurements were performed at the Institute of Marine Research (INMAR) at the University of C&#xe1;diz (Spain) following the procedures described by <xref ref-type="bibr" rid="B48">Howard et&#xa0;al. (2014)</xref>. In brief, total carbon (and nitrogen) content (%) was measured in ca. 0.15 g dry weight of sample through an automated elemental analyzer [LECO CNS928; detection limits 0.002, Standard LECO 502-697 Lot. 1002, Soil (3.82% &#xb1; 0.05% C, 0.323% &#xb1; 0.031% N, 0.045% &#xb1; 0.008% S)]. Inorganic carbon content (%) was similarly determined from ca. 1 g of dry weight using the acidification method with HCL 1 N (<xref ref-type="bibr" rid="B48">Howard et&#xa0;al., 2014</xref>). We calculated organic carbon content (OC, %) as the difference between the total and inorganic carbon (<xref ref-type="bibr" rid="B48">Howard et&#xa0;al., 2014</xref>).</p>
<p>We further calculated the sediment, organic carbon, and nitrogen densities (g cm<sup>-3</sup>) based on the total dry weight of the sediment samples. This total dry weight included belowground biomass fragments, stones, and shells, all of which constitute an albeit minor part of the sediment volume. For our isotopic analysis, we used the samples that we retained after the inorganic carbon had been removed by the addition of 1 N HCl (<xref ref-type="bibr" rid="B55">Kennedy et&#xa0;al., 2005</xref>). In this case, subsamples of 10 mg dry weight for stable isotope ratios measurements were performed at Servizos de Apoio &#xe1; Investigaci&#xf3;n (SAI) of the University of A Coru&#xf1;a using a continuous-flow isotope-ratio mass spectrometer MAT253 (Thermo Finnigan) coupled to an elemental analyser FlashEA1112 (ThermoFinnigan) through a Conflo III interface (ThermoFinnigan) with detection limits of 5 &#xb5;g. Tin encapsulated samples were combusted at 1020&#xb0;C in a quartz column containing chromium oxide and silvered colbatous/cobaltic oxide. Following combustion, excess oxygen and oxides of nitrogen were reduced in a reduction column (reduced copper at 650&#xb0;C). N<sub>2</sub> and CO<sub>2</sub> were separated on a GC column before introduction to the IRMS. During analysis a set of international reference materials for &#x3b4;15N (IAEA-N-1, IAEA-N-2, USGS25) and &#x3b4;13C (NBS 22, IAEA-CH-6, USGS24) were analyzed for &#x3b4;15N and &#x3b4;13C calibration. An analytical measurement error of &#xb1; 0.15 &#x2030; was calculated for &#x3b4;13C and &#x3b4;15N; the error estimate was obtained from replicate assays of the laboratory standard acetanilide interspersed between sample analysis. All results are reported in &#x3b4; notation in per mil units (&#x2030;) using PeeDee Belemnite and atmospheric N<sub>2</sub> as internationally accepted standards for &#x3b4;13C and &#x3b4;15N, respectively. In other words, &#x3b4;X = (Rsample/Rstandard - 1), where R represents the relationship between heavy and light isotope (13C/12C or 15N/14N) in the samples and standards.</p>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>Organic matter sources</title>
<p>To estimate the proportional contribution of potential organic matter sources (i.e., endmembers) to each sedimentary profile, we used Bayesian Stable Isotope Mixing Models in R (SIMMR, version 0.3; <xref ref-type="bibr" rid="B76">Parnell and Inger, 2019</xref>) in a manner consistent with previous studies of coastal sediments (e.g., <xref ref-type="bibr" rid="B28">Dubois et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B31">Egea et&#xa0;al., 2023</xref>). All mixing models were run using the &#x3b4;13C and &#x3b4;15N values for each sediment core section as well as those from the endmembers of the core. The potential sources for the model included stable isotope values from (i) plant samples and suspended particulate matter (filtered through a GF/F Whatman filter) that we collected in the area and (ii) marine mammals described in the literature (<xref ref-type="bibr" rid="B27">Drago et&#xa0;al., 2009</xref>; <xref ref-type="bibr" rid="B102">Valenzuela et&#xa0;al., 2009</xref>; <xref ref-type="bibr" rid="B43">Grandi et al., 2021</xref>; <xref ref-type="bibr" rid="B61">Loizaga et&#xa0;al., 2023</xref>). Endmember &#x3b4;13C and &#x3b4;15N values are reported in <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Material</bold>
</xref> (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;2</bold>
</xref> in the <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Material</bold>
</xref>). All mixing models were run using Just Another Gibbs Sampler (JAGS) for each site and the default Markov chain Monte Carlo (MCMC) settings in SIMMR (iterations: 10000, size of burn-in: 1000, amount of thinning: 10, and chains: 4). We confirmed that all models satisfied the recommended convergence criteria (Gelman diagnostic values were ca. 1), and we present the results as the predicted proportional contribution (% dry weight) of each endmember to each sediment section of cores.</p>
</sec>
<sec id="s2_5">
<label>2.5</label>
<title>Data analysis</title>
<p>We present the depth profiles of DBD (g cm<sup>-3</sup>), OC (%), and TN (%) as the mean and standard error of the triplicate sediment cores collected at each of the three locations. Depth profiles were estimated to a standardized depth of 1 m from the deepest values reached in each location (97, 99, and 65 cm at Riacho San Jos&#xe9;, Caleta Vald&#xe9;s, and Punta Loma, respectively). This standardization was achieved by extrapolating the integrated values of each variable through the predictions of generalized linear models (GLMs) fitted to the obtained data. For each variable, we chose the error structure and link function that best achieved the assumptions of linearity, homogeneity of variances, and the absence of overdispersion, which we evaluated by visual inspection of residuals and Q&#x2013;Q plots (<xref ref-type="bibr" rid="B45">Harrison et&#xa0;al., 2018</xref>). When several model structures met these assumptions, we chose the best-fit model using the Akaike Information Criteria (AIC) (<xref ref-type="bibr" rid="B5">Barton, 2019</xref>). Based on this approach, DBD was modeled using a Gaussian distribution with an &#x2018;identity&#x2019; link, whereas OC and TN were modeled using Gaussian distribution with a &#x2018;log&#x2019; link. The sediment stocks of OC and TN (megagram of OC or TN per hectare; Mg ha<sup>-1</sup>) were estimated by multiplying OC or TN content (% DW) by DBD (g cm<sup>-3</sup>) and then integrating the results using the trapezoidal rule &#x2013;i.e., the sum of the areas of all trapezes conformed through the values in OC and TN plots along 1 m sediment depth (<ext-link ext-link-type="uri" xlink:href="https://www.intmath.com/integration/5-trapezoidal-rule.php">https://www.intmath.com/integration/5-trapezoidal-rule.php</ext-link>). Finally, the contribution (% dry weight) of large vertebrate endmembers (i.e., <italic>E. australis</italic> or <italic>O. flavescens</italic>) to the C and N fractions in each sediment section at each location were estimated as the 2.5 percentile of the credible interval obtained within the Bayesian Stable Isotope Mixing Model performed (<xref ref-type="bibr" rid="B103">van de Schoot et&#xa0;al., 2014</xref>). All statistical analyses were performed using R 4.4.1 (<xref ref-type="bibr" rid="B83">R Development Core Team, 2024</xref>).</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<sec id="s3_1">
<label>3.1</label>
<title>Sediment profiles</title>
<p>In general, OC and TN content declined with sediment depth at each site, following a logarithmic regression (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>). Conversely, DBD increased linearly along the sediment depth profile at each site. The OC content of the sediment profiles was consistently an order of magnitude higher than the TN content, ranging from 9.45 to 0.51% for OC compared to 0.73 to 0.01% for TN. Caleta Vald&#xe9;s had a 1.3-fold higher mean and maximum OC content than the average of the other two locations, which were otherwise similar. In contrast, Punta Loma had a 2.7-fold higher mean and 3.5-fold higher maximum TN than the average of the other two locations.</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Sediment depth profiles of dry bulk density (DBD; g DW cm<sup>-3</sup>), organic carbon (OC, % DW), and total nitrogen (TN, % DW) contents in <bold>(A)</bold> Riacho San Jos&#xe9;, <bold>(B)</bold> Caleta Vald&#xe9;s, and <bold>(C)</bold> Punta Loma. Points and error bars represent the mean &#xb1; SE of three replicate sediment cores collected at each location. Solid red lines show the GLM model fitted to points, dashed red lines illustrate the model prediction over the depth gradient, and shaded areas indicate the 95% confidence intervals.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-12-1500594-g002.tif"/>
</fig>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Sediment stocks</title>
<p>The largest OC stock in the upper 1 m sediment layer was observed in Caleta Vald&#xe9;s, followed by Riacho San Jos&#xe9; and Punta Loma (317, 270.2, and 140.1 Mg OC ha<sup>-1</sup>, respectively) (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>). The TN stocks followed a different pattern, decreasing from Punta Loma to Caleta Vald&#xe9;s to Riacho San Jos&#xe9; (22.9, 13.6, and 7.3 Mg TN ha<sup>-1</sup>, respectively). Half the total OC stock was reached by ca. 31 cm depth at Riacho San Jos&#xe9; and Caleta Vald&#xe9;s, whereas in Punta Loma the halfway point was reached by ca. 19 cm depth. The depth at which half of the total TN stock was reached was deeper than for OC stocks, with a decreasing trend from Caleta Vald&#xe9;s to Punta Loma and Riacho San Jos&#xe9; (ca. 45, 33, 25 cm depth, respectively).</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Stocks of organic carbon (Mg OC ha<sup>-1</sup>) and total nitrogen (Mg TN ha<sup>-1</sup>) shown to a standardized sediment depth of 1 meter.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-12-1500594-g003.tif"/>
</fig>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Sources of organic matter</title>
<p>The &#x3b4;&#xb9;&#xb3;C and &#x3b4;<sup>15</sup>N isotopic composition of the sediment cores varied significantly with depth at all three locations, so we subdivided the sediment cores into different sections based on their isotopic ratios (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>). In Riacho San Jos&#xe9;, we observed four sediment sections: 0-15 cm (average -14.29 &#xb1; 0.68 and 7.24 &#xb1; 0.59 for &#x3b4;<sup>13</sup>C and &#x3b4;<sup>15</sup>N, respectively), 15-55 cm (average -16.15 &#xb1; 0.29 and 8.38 &#xb1; 0.34), 55-77 cm (average -18.70 &#xb1; 0.54 and 7.78 &#xb1; 0.35), and 55-97 cm (average -20.68 &#xb1; 0.21 and 11.38 &#xb1; 0.78). Caleta Vald&#xe9;s showed only three sediment sections: 0-15 cm (average -21.79 &#xb1; 0.89 and 13.66 &#xb1; 0.76 for &#x3b4;<sup>13</sup>C and &#x3b4;<sup>15</sup>N, respectively), 15-53 cm (average -18.87 &#xb1; 0.55 and 16.78 &#xb1; 0.44), and 53-99 cm (average -23.46 &#xb1; 0.41 and 11.90 &#xb1; 0.50). Punta Loma also divided into three sediment sections: 0-19 cm (average -17.95 &#xb1; 1.18 and 15.80 &#xb1; 1.16 for &#x3b4;<sup>13</sup>C and &#x3b4;<sup>15</sup>N, respectively), 19-43 cm (average -22.81 &#xb1; 1.12 and 10.83 &#xb1; 1.04), and 43-65 cm (average -16.30 &#xb1; 1.05 and 18.16 &#xb1; 0.25).</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Box plots of &#x3b4;<sup>13</sup>C and &#x3b4;<sup>15</sup>N isotopic values for each sediment section in the three study locations. Each box plot represents the average of three sediment cores per location. The thick center line indicates the median, hinges represent the 25th and 75th quantiles, and whiskers represent the 5th and 95th quantiles. The center rhombus indicates the mean, and outliers are plotted as dots.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-12-1500594-g004.tif"/>
</fig>
<p>Although the &#x3b4;&#xb9;&#xb3;C and &#x3b4;<sup>15</sup>N values in the sediment samples varied among habitats, most of values fell within the mixing polygon defined by the potential OM sources (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref>). In Riacho San Jos&#xe9;, the mixing model indicated that the main source in the upper surface layer (i.e., the first 15 cm) was the saltmarsh plant <italic>S. alterniflora</italic>. However, the contribution of <italic>S. alterniflora</italic> decreased with the sediment depth in favor of other sources. For example, allochthonous POM and <italic>E. australis</italic> were also important contributors in the 55-77 cm section, and in the deepest sediment section (77-97 cm), <italic>Macrocystis</italic> sp., <italic>E. australis</italic>, macroalgae spp. and <italic>S. perennis</italic> were the main contributors to sedimentary OM. In Caleta Vald&#xe9;s, the upper sediment section had a variety of sources in its sedimentary OM, with <italic>S. perennis</italic> and suspended POM as the main contributors. However, their relative contribution dwindled from 15 to 53 cm sediment depth in favor of <italic>O. flavescens</italic>, but then they became dominant again in the deepest sediment section (i.e., from 53 to 99 cm depth). In Punta Loma, the first 19 cm had mixed sources to its sedimentary OM, with fish and <italic>O. flavescens</italic> being the higher contributors. However, the terrestrial plants <italic>P.</italic> sp<italic>eciosa</italic> and <italic>C. avellanedae</italic> dominated in the 19-43 cm section, and <italic>O. favescens</italic> became the main contributor in the deepest sediment section (i.e., 43-65 cm).</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Scatter plot of the &#x3b4;15N and &#x3b4;13C isotopic signatures of sedimentary organic matter (OM) (<italic>above</italic>) and horizontal violin plots showing the predicted proportions of each source (<italic>bottom</italic>) on <bold>(A)</bold> Riacho San Jos&#xe9;, <bold>(B)</bold> Caleta Vald&#xe9;s, and <bold>(C)</bold> Punta Loma. We classified sedimentary OM according to the sediment core section defined in <xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>. Note that the axis in the scatter plot varies among locations. Dotted lines were added to facilitate comparison of scatter plots. Shaded boxes in the horizontal violin plots represent the 0.25, 0.5 and 0.75 credibility quantiles.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-12-1500594-g005.tif"/>
</fig>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<sec id="s4_1">
<label>4.1</label>
<title>Contribution of Pen&#xed;nsula Vald&#xe9;s to carbon and nitrogen sequestration</title>
<p>We report, for the first time, that coastal sediments in the Pen&#xed;nsula Vald&#xe9;s Biosphere Reserve contributes significantly to the sequestration of organic carbon (OC) and total nitrogen (TN). In general, we found higher OC stocks in Riacho San Jos&#xe9; and Caleta Vald&#xe9;s, the two sites dominated by salt marsh vegetation. The top 1 m of sediment at these two sites contained 317 and 270 Mg OC ha<sup>-1</sup>, respectively, which is within the global average estimate for soil OC buried in the top 1 m of tidal salt marshes (231 &#xb1; 134 Mg OC ha<sup>-1</sup>; <xref ref-type="bibr" rid="B69">Maxwell et&#xa0;al., 2023</xref>). We found that 50% of the total OC stock in the sediment columns was reached by 31 cm depth in both locations. Fewer studies have considered sedimentary N stocks in coastal vegetated systems (<xref ref-type="bibr" rid="B3">Arriola and Cable, 2017</xref>; <xref ref-type="bibr" rid="B93">Santos et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B26">de los Santos et&#xa0;al., 2023</xref>). Even so, the sedimentary TN stocks at our study sites (0.22 and 0.25% in the top surface sediment layer in Caleta Vald&#xe9;s and Riacho San Jos&#xe9;, respectively) were within the medium-to-high range of the few available data points in the literature (e.g., 0.04 to 0.79%; <xref ref-type="bibr" rid="B3">Arriola and Cable, 2017</xref>). Specifically, the TN content was 13.6 and 7.3 Mg TN ha<sup>-1</sup> in Caleta Vald&#xe9;s and Riacho San Jos&#xe9;, respectively, and the 50% of TN stock was held within the first 45 and 25 cm of sediment depth at each site, respectively. We therefore suggest that C and N sequestration by coastal vegetated areas is a key ecosystem service provided by Pen&#xed;nsula Vald&#xe9;s.</p>
<p>The study site at Punta Loma lacked any saltmarsh vegetation but harbored a stable year-round colony of South American sea lions, <italic>Otaria flavescens</italic> (<xref ref-type="bibr" rid="B24">Dans et&#xa0;al., 2004</xref>), which may also contribute to C and N deposition. Indeed, despite the absence of saltmarsh communities at Punta Loma, we found relatively high OC and TN stocks: we estimated OC and TN stocks for the top 1 m of sediments at 140 Mg OC ha<sup>-1</sup> and 22.9 Mg TN ha<sup>-1</sup>, and 50% of the total OC and TN stocks were held within the top 19 and 33 cm of sediment, respectively. Instead of saltmarsh vegetation, Punta Loma includes terrestrial low-plants dominated by <italic>Pappostipa</italic> sp<italic>eciosa</italic> and <italic>Chuquiraga avellanedae</italic> on the top of the sedimentary tidal canals, although the canopy remains sparse (<xref ref-type="bibr" rid="B8">Bisigato et&#xa0;al., 2016</xref>). Previous studies have observed a positive correlation whereby terrestrial and vegetated coastal areas with low aboveground plant biomass density tend to be environments with soil OC loss (e.g., <xref ref-type="bibr" rid="B1">Achat et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B92">Santini et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B64">Macreadie et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B99">Song et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B53">Jim&#xe9;nez-Ramos et&#xa0;al., 2024</xref>). The relatively high OC stock at this location was therefore unexpected. We attribute the high OC stock to the nearby presence of terrestrial low-plants, location-specific sediment features such as grain size, and the large colony of <italic>O. flavescens</italic>. The sea lion populations (<italic>O. flavescens</italic>) in Punta Loma use the rocky zones and sedimentary tidal channels not only for resting but also for breeding, birthing, and defecation. We also observed a significant number of carcasses in these tidal channels, and we accordingly expected that the organic matter composition at Punta Loma would show a relevant fraction of seston derived from this species. Indeed, we detected the isotopic signatures <italic>O. flavescens</italic> in the sediment cores from Punta Loma (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref>), indicating that the high seal population density contributed to the transfer of offshore C (from feeding) to coastal systems (as sites of breeding, rest, and death). This result aligns with studies on other marine vertebrate species, highlighting their role as significant contributors of marine carbon to terrestrial environments, particularly through activities such as spawning, nesting, or nursing on land, as seen in salmon (<xref ref-type="bibr" rid="B34">Field and Reynolds, 2011</xref>), sea turtles (<xref ref-type="bibr" rid="B10">Bouchard and Bjorndal, 2000</xref>), and seals (<xref ref-type="bibr" rid="B80">Quaggiotto et&#xa0;al., 2018</xref>).</p>
<p>On the other hand, the sediments in Punta Loma tended to have a fine grain size rich in clays and silts (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;1</bold>
</xref> in the <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Material</bold>
</xref>), which can reduce the vulnerability of organic matter to decomposition (<xref ref-type="bibr" rid="B70">Mayer et&#xa0;al., 1985</xref>; <xref ref-type="bibr" rid="B13">Chen et&#xa0;al., 2022</xref>). Organic matter can be further protected through physicochemical associations with minerals and cations in the sediment; indeed, organo-mineral associations are one of the main mechanisms contributing to the environmental persistence of sedimentary OC. For example, <xref ref-type="bibr" rid="B72">Moore et&#xa0;al. (2023)</xref> demonstrated that sediment cations (including Fe and Mn) and minerals catalyze the transformation of simple organic molecules (i.e., glucose and glycine) into recalcitrant forms, such as complex aromatics, via the Maillard reaction (i.e., polycondensation). The high metal concentrations that have been found in the feaces of South American sea lion populations in Argentina (<xref ref-type="bibr" rid="B40">Gerpe et&#xa0;al., 2006</xref>) indeed suggest that a high abundance of cations and minerals should be present in the surrounding sediments, thus contributing to the long-term stabilization and sequestration of organic material in the area. Another mechanism contributing to organic matter sequestration is that the hydrodynamic environment of our sampling environment may promote sedimentation (<xref ref-type="bibr" rid="B19">Cuiti&#xf1;o et&#xa0;al., 2023</xref>), which can be further boosted by the movement of sea lions over the sediment along the sampled tidal canals. To move onshore, pinnipeds either &#xa8;walk&#xa8; or &#xa8;crawl&#xa8; depending on their specific taxonomy. Phocids perform &#x2018;ventral movements&#x2019; by pivoting on their belly, thereby &#x201c;crawling&#x201d; their heavy bodies (male weight often exceeds 4 tons) across the ground, whereas sea lions (male weight &gt;350 kg) can rotate their hind flippers to &#x201c;walk&#x201d; on land. Either of these movements across the land could lead to soil compaction, which changes soil aggregate structures and reduces porewater O<sub>2</sub>. Soil compaction, in turn, can protect OC from degradation, as has been reported in studies of the &#x2018;trampling movements&#x2019; of large terrestrial mammals in terrestrial ecosystems (e.g., elephants; <xref ref-type="bibr" rid="B91">Sandhage-Hofmann et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B7">Berzaghi et&#xa0;al., 2023</xref>). Overall, our study offers new insights into how sea lions in coastal systems may facilitate the accumulation of soil carbon through the horizontal transport of carbon from the open ocean (where they feed) to coastal areas (where they defecate, breed, and die).</p>
</sec>
<sec id="s4_2">
<label>4.2</label>
<title>Contributions to sediment organic matter</title>
<p>We found that the main C source varied with sediment depth at each location, to the point where sediment cores could be subdivided based on their isotopic composition and presumed C sources. We specifically observed four clear sections in Riacho San Jos&#xe9; and three sections in Caleta Vald&#xe9;s and Punta Loma (<xref ref-type="fig" rid="f4">
<bold>Figures&#xa0;4</bold>
</xref>, <xref ref-type="fig" rid="f5">
<bold>5</bold>
</xref>). In Riacho San Jos&#xe9; and Caleta Vald&#xe9;s, the salt marsh plants <italic>S. alterniflora</italic> and <italic>S. perennis</italic> were the main C sources in the top sediment layers, which was expected because these species are present and abundant at these sites. In general, southwest Atlantic salt marsh plants are highly productive and effectively trap and retain carbon (<xref ref-type="bibr" rid="B68">Martinetto et&#xa0;al., 2023</xref>), thus favoring OM accumulation in the top sediment layers. However, the contribution of salt marsh plants decreased with sediment depth and was replaced by other sources. At Riacho San Jos&#xe9;, allochthonous POM and <italic>E. australis</italic> were important contributors of OM at 55-77 cm depth, whereas macroalgae and <italic>E. australis</italic> were the main contributors in the deepest sediment section (i.e., 77-97 cm). According to our Bayesian mixing models, the contribution of <italic>E. australis</italic> in each sediment section at Riacho San Jos&#xe9; adds up to a total of at least 2.25 Mg C ha<sup>-1</sup> (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;3</bold>
</xref> in the <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Material</bold>
</xref>), which represents 0.8% of the total OC stock at this site. Pen&#xed;nsula Vald&#xe9;s is considered a sanctuary for <italic>E. australis</italic>, which uses the area as for feeding and breeding (<xref ref-type="bibr" rid="B22">D&#x2019;Agostino et&#xa0;al., 2023</xref>, <xref ref-type="bibr" rid="B23">2024</xref>). Each individual can weigh 50-60 tons (<xref ref-type="bibr" rid="B20">Curry and Brownell, 2014</xref>), and our sampling area at Riacho San Jos&#xe9; encompassed a region where whale carcasses from massive die-off episodes have previously been encountered (<xref ref-type="bibr" rid="B90">Rowntree et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B104">Wilson et&#xa0;al., 2016</xref>), suggesting a potential pathway for <italic>E. australis-</italic>derived carbon storage in coastal sediments. At Caleta Vald&#xe9;s, the organic material in the sediment section from 15-53 cm depth was largely derived from <italic>O. flavescens</italic> (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5B</bold>
</xref>). The total contribution of <italic>O. flavescens</italic> across all sediment sections at Caleta Vald&#xe9;s was at least 11 Mg C ha<sup>-1</sup> (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;3</bold>
</xref> in the <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Material</bold>
</xref>), representing 3.5% of the total OC stock in this location.</p>
<p>At Punta Loma, <italic>O. flavescens</italic> was also the main C source in the top-layer sediments, but the organic material in the mid-depth sediments (19-43 cm) favored the terrestrial plants <italic>P.</italic> sp<italic>eciosa</italic> and <italic>C. avellanedae</italic>, which are the most abundant plant species in the surrounding terrestrial area (<xref ref-type="bibr" rid="B8">Bisigato et&#xa0;al., 2016</xref>). This reduction of <italic>O. flavescens</italic> and increase of terrestrial plants in the origin of organic matter with depth was attributed to the different rates of degradation of organic matter &#x2013; which is usually slower for plants (<xref ref-type="bibr" rid="B82">Raza et&#xa0;al., 2023</xref>). Changes in the number of individuals in the colony may also explain changes in the weight of <italic>O. flavescens</italic> contribution. Historical records in the area show variability of individuals from a steep reduction (up to 90%) decades ago because hunting to a continued recover since 1990 (<xref ref-type="bibr" rid="B56">Koen-Alonso and Yodzis, 2005</xref>; <xref ref-type="bibr" rid="B89">Romero et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B44">Grandi et&#xa0;al., 2020</xref>). The increase in <italic>O. flavescens</italic>-derived organic material in the deepest sediments at Punta Loma (43-65 cm; <xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5C</bold>
</xref>) corresponds with a high accumulation of pinnipeds found at 40-70 cm depth in a nearby location (<xref ref-type="bibr" rid="B95">Serr&#xe1;n et&#xa0;al., 2008</xref>), which was attributed to a natural die-off event. However, we noted that dating the sediment core would be necessary for better inference. Overall, the total contribution of <italic>O. flavescens</italic> across all sediment sections at Punta Loma was at least 9.5 Mg C ha<sup>-1</sup> (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;3</bold>
</xref> in the <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Material</bold>
</xref>), which represents the 6.8% of total OC stock in this location. On the other hand, we correspondingly observed a marked TN reported in Punta Loma, which was higher than those found in the other two assessed sites (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>). A possible reason for this marked increase is because the area is a breeding area for the South American tern (<xref ref-type="bibr" rid="B33">Faria et&#xa0;al., 2010</xref>) and the black-necked cormorant (<xref ref-type="bibr" rid="B94">Sapoznikow and Quintana, 2008</xref>) since sediments receiving seabird droppings often show high TN content and high &#x3b4;15N values (<xref ref-type="bibr" rid="B37">Garc&#xed;a et&#xa0;al., 2002</xref>; <xref ref-type="bibr" rid="B59">Laguna et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B105">Wu et&#xa0;al., 2023</xref>). The OC/TN ratio indicated a high contribution of organic matter from marine origin in Punta Loma, whereas evidenced a high contribution of organic matter from salt marshes in Caleta Vald&#xe9;s and Riacho San Jos&#xe9; (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;2</bold>
</xref> in the <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Material</bold>
</xref>). A recent study in a coastal whale sanctuary in San Francisco (<xref ref-type="bibr" rid="B50">Hutto et&#xa0;al., 2021</xref>) suggested that whale falls may represent up to 60% of the annual carbon sequestration in its marine sediments. The significantly lower projected contribution in our study could be due to differences in the number of individuals, number of mortalities, and in some of the other assumptions or data from previous work (e.g., the assumption that 50% of the whale carcasses reach the sea bottom (<xref ref-type="bibr" rid="B98">Smith and Baco, 2003</xref>) or previous reports of the fluxes of carbon exported by whale species (<xref ref-type="bibr" rid="B79">Pershing et&#xa0;al., 2010</xref>). Nevertheless, our results indicate that coastal systems with a high density of large marine vertebrate populations, such as the southern right whale <italic>E. australis</italic> and the South American sea lion <italic>O. flavescens</italic>, may derive a non-negligible proportion of their sediment organic matter from these species.</p>
<p>We note that stable isotope analysis is intended to provide a probabilistic indication of likely carbon sources, however, we acknowledge this technique is non-exempted of limitations. Despite &#x3b4;<sup>13</sup>C and &#x3b4;<sup>15</sup>N isotopes method are widely used as indicators of sources of organic matter in coastal wetland research (e.g., <xref ref-type="bibr" rid="B11">Bulmer et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B26">de los Santos et&#xa0;al., 2023</xref>), it shows limitations in discerning multiple sources, particularly to discern between sources with similar isotopic signature (e.g., between species of macrophytes; <xref ref-type="bibr" rid="B39">Geraldi et&#xa0;al., 2019</xref>). To reduce uncertainty when determining the sources of OC, recent studies recommend more specific markers such as compound-specific isotopes on fatty-acid (&#x3b4;<sup>13</sup>C-FA) or environmental DNA (eDNA) techniques (<xref ref-type="bibr" rid="B62">Macreadie et&#xa0;al., 2019</xref>). Fatty-acids are the major constituents of lipids and some of them are synthesized only by specific groups of organisms or in particular proportions (<xref ref-type="bibr" rid="B6">Berg&#xe9; and Barnathan, 2005</xref>). Moreover, some of them present higher resistance to bacterial degradation in comparison to other classes of organic compounds, which makes them suitable molecular biomarkers to identify sources of OM in sediment samples (<xref ref-type="bibr" rid="B38">Gardade et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B14">Chielle et&#xa0;al., 2024</xref>). Similarly, eDNA can provide finer taxonomic-scale data about which species or families of organisms are present in the sediment sample (<xref ref-type="bibr" rid="B74">Nguyen et&#xa0;al., 2023</xref>), and because DNA is specific to a species, values do not overlap. However, besides their elevated prizes, these techniques display other limitations, partly due to its still limited use compared with isotopes method (<xref ref-type="bibr" rid="B39">Geraldi et&#xa0;al., 2019</xref>). For instance, the robustness of &#x3b4;<sup>13</sup>C-FA depends on the specificity and conservativeness of the &#x3b4;<sup>13</sup>C-FA fingerprint (<xref ref-type="bibr" rid="B101">Upadhayay et&#xa0;al., 2017</xref>). This technique may underestimate short-chain FAs (typical from animals) in favor of long-chain FAs (&gt;20 carbon atoms; typical from plants). In addition, it is still unknown how &#x3b4;<sup>13</sup>C-FA fingerprint may be transformed into soils (<xref ref-type="bibr" rid="B39">Geraldi et&#xa0;al., 2019</xref>), which can trigger important artifacts in our experimental design. Regarding eDNA, this biomarker may degrade at a faster rate than other OC components and, thereby, may underestimate allochthonous OC and species with relatively less resistant cellular structure (e.g., those from large vertebrates or algae <italic>vs</italic>. vascular plants). In addition, primers need to be tested to ensure that the species thought to contribute to the soil OC are amplified because primer amplification is imperfect (<xref ref-type="bibr" rid="B25">Deagle et&#xa0;al., 2014</xref>). Since the complexity of our experimental design (i.e., logistically and economically) and because our main objective was to differentiate sources with isotopic signatures that were not close (i.e., among saltmarsh plants, large vertebrates in the area and algae), we opt the isotopes method. To enhance the robustness of our results, we produced a conservative estimate from large vertebrates by using the 2.5 percentile of the credible interval of the sources provided by the model. Therefore, our results are not intended to be conclusive, but the empirical data presented in this study serve as a basis for future studies which may indicate more rigorously values of contributions by combining some of previous techniques, such as isotopes and eDNA.</p>
</sec>
<sec id="s4_3">
<label>4.3</label>
<title>Implication for coastal management and conclusions</title>
<p>The present study provides the first quantitative data on the OC and TN sequestered in the coastal sediments of Pen&#xed;nsula Vald&#xe9;s. Although higher OC stocks were typically found in areas dominated by salt marsh vegetation, the unvegetated area in Punta Loma also contained relatively high OC stocks, which we attributed to the high local density of South American sea lion (<italic>O. flavescens</italic>) colonies and the physicochemical characteristics of the sediments. Overall, we consider that our estimation ranged from 140 to 317 Mg OC ha<sup>-1</sup> and from 7.3 to 22.9 Mg TN ha<sup>-1</sup> is significant at the regional level and highlight this system as potential contributor to blue carbon. Therefore, considering the worldwide objective of promoting and protecting ecosystems with a high carbon sequestration capacity as nature-based solution (NbS) for climate change mitigation (<xref ref-type="bibr" rid="B52">IUCN, 2020</xref>; <xref ref-type="bibr" rid="B63">Macreadie et&#xa0;al., 2021</xref>), our results evidenced that conservation and management practices in the Pen&#xed;nsula Vald&#xe9;s should not only limited to vegetated coastal meadows, but also unvegetated areas with stable year-round colonies of large vertebrates such as <italic>O. flavescens</italic>. Although the estimations presented here were obtained at three locations that covered the most representative habitats in the system, do not consider all the spatial variability in stocks within the habitats, which has been observed in many other coastal areas, especially those dominated by salt marshes (<xref ref-type="bibr" rid="B60">Li et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B96">Shen et&#xa0;al., 2024</xref>).  Therefore, this study can also lead futures investigation to obtain more precise estimates using this methodology and combined it with other techniques such as eDNA of fatty acids. In summary, our results contribute to raise the ecological value of Pen&#xed;nsula Vald&#xe9;s Biosphere Reserve as an important marine protected area which, in addition to exert as a crucial area to the conservation of marine biodiversity (e.g., <xref ref-type="bibr" rid="B18">Crespo et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B22">D&#x2019;Agostino et&#xa0;al., 2023</xref>), represent an important sink of OC and TN, which should be considered in management practices.</p>
<p>On the other hand, the broad range of &#x3b4;<sup>13</sup>C and &#x3b4;<sup>15</sup>N values among sediment cores and depths indicated that the Pen&#xed;nsula Vald&#xe9;s sediments receive organic matter contributions from multiple carbon sources. Beyond the contribution of salt marshes and terrestrial plants as main C sources in sediments, we found a non-negligible proportion (from 0.8 to 6.8% dry weight) of the OC stocks showing an isotopic signal from the large vertebrates that usually inhabit the area. Therefore, our findings offer new insights into the potential role of large vertebrates as an organic carbon source for coastal carbon sequestration in coastal systems with high density of these animals. Although the large marine vertebrates studies to the ocean carbon cycle and as a feasible nature-based solution (NbS) for climate change mitigation is still at an early stage of research (<xref ref-type="bibr" rid="B71">Meynecke et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B30">Duvall et&#xa0;al., 2024</xref>), our results&#xa0;lay the groundwork for future studies on the role of marine&#xa0;mammals may play as potential vectors of coastal &#x201c;blue&#xa0;carbon&#x201d;&#xa0;sequestration. This role may depend on the time scale being&#xa0;considered, the life cycles of different species, and the forms&#xa0;of&#xa0;population management implemented in marine conservation plans.</p>
</sec>
</sec>
</body>
<back>
<sec id="s5" sec-type="data-availability">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="s6" sec-type="author-contributions">
<title>Author contributions</title>
<p>RJ-R: Conceptualization, Data curation, Formal Analysis, Funding acquisition, Investigation, Methodology, Project administration, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. LE: Conceptualization, Data curation, Formal Analysis, Funding acquisition, Investigation, Methodology, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. VD: Conceptualization, Investigation, Resources, Writing &#x2013; review &amp; editing. MD:&#xa0;Conceptualization, Funding acquisition, Investigation, Resources, Writing &#x2013; review &amp; editing. RL: Conceptualization, Formal&#xa0;Analysis, Funding acquisition, Investigation, Project administration, Resources, Supervision, Writing &#x2013; review &amp; editing.</p>
</sec>
<sec id="s7" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This study was supported by the Spanish National Project RECOUNT (PID2020-120237RJ-I00), financed by MCIN/AEI/10.13039/501100011033 (PI: RJ-R). Also was funded by the Argentine National Research Council project PIP 2021-2024 (PI: RL), ANPCyT PICT 2019-2006, 2021-0172 (PI: MD) and SER-CADY project (FEDER-UCA18-107451; PI: LE), co-financed by the European Union under the 2014&#x2013;2020 ERDF Operational Program and by the Department of Economic Transformation, Industry, Knowledge, and Universities of the Regional Government of Andalusia. The open access fee was co-funded by the Plan Propio &#x2013; UCA, 2024-2025 and by the QUALIFICA Project (QUAL21-0019, Junta de Andalucia).</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>Permits were granted by Subsecretar&#xed;a de Conservaci&#xf3;n y &#xc1;reas Protegidas of Chubut Province, Argentina. We would like to express our sincere gratitude to Juan &#xc1;ngel Allieri Nautical and Submarine Services for his valuable support in designing the PVC cores. This study is part of the thematic area <italic>&#x201c;Trophic ecology and conservation of marine mammals&#x201d;</italic> of the University Marine Research Institute INMAR (Spain). Thanks to the Integration and Application Network for courtesy in supplying vector symbols (ian. umces.edu/symbols/).</p>
</ack>
<sec id="s8" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s9" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was used in the creation of this manuscript.</p>
</sec>
<sec id="s10" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec id="s11" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fmars.2025.1500594/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fmars.2025.1500594/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="DataSheet1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
</sec>
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