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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Mar. Sci.</journal-id>
<journal-title>Frontiers in Marine Science</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Mar. Sci.</abbrev-journal-title>
<issn pub-type="epub">2296-7745</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fmars.2023.1196938</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>The time series at the Strait of Gibraltar as a baseline for long-term assessment of vulnerability of calcifiers to ocean acidification</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Amaya-V&#xed;as</surname>
<given-names>Silvia</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2169512"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Flecha</surname>
<given-names>Susana</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1141357"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>P&#xe9;rez</surname>
<given-names>Fiz F.</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/346930"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Navarro</surname>
<given-names>Gabriel</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/380184"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Garc&#xed;a-Lafuente</surname>
<given-names>Jes&#xfa;s</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/761682"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Makaoui</surname>
<given-names>Ahmed</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Huertas</surname>
<given-names>I. Emma</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/552942"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Instituto de Ciencias Marinas de Andaluc&#xed;a, Consejo Superior de Investigaciones Cientificas (CSIC)</institution>, <addr-line>C&#xe1;diz</addr-line>, <country>Spain</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Instituto Mediterr&#xe1;neo de Estudios Avanzados (IMEDEA)</institution>, <addr-line>Esporles, Mallorca</addr-line>, <country>Spain</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Instituto de Investigaciones Marinas, Consejo Superior de Investigaciones Cientificas (CSIC)</institution>, <addr-line>Vigo</addr-line>, <country>Spain</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Grupo de Oceanograf&#xed;a F&#xed;sica, Instituto de Biotecnolog&#xed;a y Desarrollo Azul (IBYDA), Universidad de M&#xe1;laga</institution>, <addr-line>M&#xe1;laga</addr-line>, <country>Spain</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Institut National de Recherche Halieutique (INRH)</institution>, <addr-line>Casablanca</addr-line>, <country>Morocco</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Jose Martin Hernandez-Ayon, Autonomous University of Baja California, Mexico</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Zvi Steiner, Helmholtz Association of German Research Centres (HZ), Germany; Galdies Galdies, University of Malta, Malta; Eva Krasakopoulou, University of the Aegean, Greece</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: I. Emma Huertas, <email xlink:href="mailto:emma.huertas@csic.es">emma.huertas@csic.es</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>17</day>
<month>10</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>10</volume>
<elocation-id>1196938</elocation-id>
<history>
<date date-type="received">
<day>30</day>
<month>03</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>12</day>
<month>09</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2023 Amaya-V&#xed;as, Flecha, P&#xe9;rez, Navarro, Garc&#xed;a-Lafuente, Makaoui and Huertas</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Amaya-V&#xed;as, Flecha, P&#xe9;rez, Navarro, Garc&#xed;a-Lafuente, Makaoui and Huertas</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<p>The assessment of the saturation state (&#x3a9;) for calcium carbonate minerals (aragonite and calcite) in the ocean is important to determine if calcifying organisms have favourable or unfavourable conditions to synthesize their carbonated structures. This parameter is largely affected by ocean acidification, as the decline in seawater pH causes a decrease in carbonate ion concentration, which in turn, lowers &#x3a9;. This work examines temporal trends of seawater pH, &#x3a9;<sub>Aragonite</sub> and &#x3a9;<sub>Calcite</sub> in major Atlantic and Mediterranean water masses that exchange in the Strait of Gibraltar: North Atlantic Central Water (NACW), Levantine Intermediate Water (LIW) and Western Mediterranean Deep Water (WMDW) using accurate measurements of carbonate system parameters collected in the area from 2005-2021. Our analysis evidences a gradual reduction in pH in the three water mases during the monitoring period, which is accompanied by a decline in &#x3a9; for both minerals. The highest and lowest decreasing trends were found in the NACW and LIW, respectively. Projected long-term changes of &#x3a9; for future increases in atmospheric CO<sub>2</sub> under the IPCC AR6 Shared Socio-economic Pathway "fossil-fuel-rich development" (SSP5-8.5) indicate that critical conditions for calcifiers with respect to aragonite availability will be reached in the entire water column of the region before the end of the current century, with a corrosive environment (undersaturation of carbonate) expected after 2100.</p>
</abstract>
<kwd-group>
<kwd>aragonite</kwd>
<kwd>calcite</kwd>
<kwd>ocean acidification</kwd>
<kwd>saturation state</kwd>
<kwd>Strait of Gibraltar</kwd>
</kwd-group>
<counts>
<fig-count count="4"/>
<table-count count="6"/>
<equation-count count="4"/>
<ref-count count="89"/>
<page-count count="12"/>
<word-count count="6515"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Ocean Observation</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>The ocean plays a significant role as a sink for anthropogenic carbon dioxide (CO<sub>2</sub>) (<xref ref-type="bibr" rid="B77">Sarmiento and Gruber, 2002</xref>; <xref ref-type="bibr" rid="B52">Le Qu&#xe9;r&#xe9; et&#xa0;al., 2015</xref>), absorbing approximately a quarter of the CO<sub>2</sub> emitted by humans to the atmosphere (<xref ref-type="bibr" rid="B29">Friedlingstein et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B38">Gruber et&#xa0;al., 2023</xref>). This marine contribution to CO<sub>2</sub> withdrawal mitigates climate change, albeit at a cost to the ecosystem, causing significant alterations in seawater chemistry (<xref ref-type="bibr" rid="B66">Orr et&#xa0;al., 2005</xref>; <xref ref-type="bibr" rid="B14">Doney et&#xa0;al., 2009</xref>; <xref ref-type="bibr" rid="B35">Gledhill et&#xa0;al., 2015</xref>).</p>
<p>When the CO<sub>2</sub> molecule enters the ocean, it hydrates and forms carbonic acid, which is a weak acid that tends to dissociate water producing hydrogen ions. As a result, the concentration of hydrogen ions ([H<sup>+</sup>]) in the seawater increases steadily and slowly, leading to ocean acidification (OA) over a long period of time, i.e. a decline in the pH (<xref ref-type="bibr" rid="B71">Raven et&#xa0;al., 2005</xref>; <xref ref-type="bibr" rid="B45">Impacts, 2014</xref>; <xref ref-type="bibr" rid="B87">Williamson and Widdicombe, 2017</xref>; <xref ref-type="bibr" rid="B15">Doney et&#xa0;al., 2020</xref>). In addition, part of these [H<sup>+</sup>] bind to the carbonate ions (CO<sub>3</sub>
<sup>2-</sup>) to generate bicarbonate (HCO<sub>3</sub>
<sup>-</sup>), causing a decrease in the concentration of CO<sub>3</sub>
<sup>2-</sup> and, consequently, their availability in the medium. Carbonate ions are essential for marine calcifying organisms to form their skeletons and shells, and their decline severely affects the biogenic calcification process (<xref ref-type="bibr" rid="B73">Riebesell et&#xa0;al., 2000</xref>; <xref ref-type="bibr" rid="B66">Orr et&#xa0;al., 2005</xref>; <xref ref-type="bibr" rid="B20">Feely et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B49">Kroeker et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B70">P&#xf6;rtner et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B62">Mostofa et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B15">Doney et&#xa0;al., 2020</xref>), as marine organisms must combine Ca<sup>2+</sup> and CO<sub>3</sub>
<sup>2-</sup> to precipitate CaCO<sub>3</sub> for calcareous shells formation (<xref ref-type="bibr" rid="B80">Silverstein, 2022</xref>) (Equation 1):</p>
<disp-formula>
<label>(1)</label>
<mml:math display="block" id="M1">
<mml:mrow>
<mml:mi>C</mml:mi>
<mml:msup>
<mml:mi>a</mml:mi>
<mml:mrow>
<mml:mn>2</mml:mn>
<mml:mo>+</mml:mo>
</mml:mrow>
</mml:msup>
<mml:mrow>
<mml:mo stretchy="false">(</mml:mo>
<mml:mrow>
<mml:mi>a</mml:mi>
<mml:mi>q</mml:mi>
</mml:mrow>
<mml:mo stretchy="false">)</mml:mo>
</mml:mrow>
<mml:mo>+</mml:mo>
<mml:mi>C</mml:mi>
<mml:msubsup>
<mml:mi>O</mml:mi>
<mml:mn>3</mml:mn>
<mml:mrow>
<mml:mn>2</mml:mn>
<mml:mo>&#x2212;</mml:mo>
</mml:mrow>
</mml:msubsup>
<mml:mrow>
<mml:mo stretchy="false">(</mml:mo>
<mml:mrow>
<mml:mi>a</mml:mi>
<mml:mi>q</mml:mi>
</mml:mrow>
<mml:mo stretchy="false">)</mml:mo>
</mml:mrow>
<mml:mo>&#x21cb;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mi>C</mml:mi>
<mml:mi>a</mml:mi>
<mml:mi>C</mml:mi>
<mml:msub>
<mml:mi>O</mml:mi>
<mml:mn>3</mml:mn>
</mml:msub>
<mml:mrow>
<mml:mo stretchy="false">(</mml:mo>
<mml:mi>s</mml:mi>
<mml:mo stretchy="false">)</mml:mo>
</mml:mrow>
</mml:mrow>
</mml:math>
</disp-formula>
<p>Calcification ability can be assessed through the estimation of the saturation state (&#x3a9;) of calcium carbonate minerals, which is defined as shown in Equation 2:</p>
<disp-formula>
<label>(2)</label>
<mml:math display="block" id="M2">
<mml:mrow>
<mml:mtext>&#x3a9;</mml:mtext>
<mml:mo>=</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:mrow>
<mml:mo stretchy="false">[</mml:mo>
<mml:mrow>
<mml:mi>C</mml:mi>
<mml:msup>
<mml:mi>a</mml:mi>
<mml:mrow>
<mml:mn>2</mml:mn>
<mml:mo>+</mml:mo>
</mml:mrow>
</mml:msup>
</mml:mrow>
<mml:mo stretchy="false">]</mml:mo>
</mml:mrow>
<mml:mi>&#x2d9;</mml:mi>
<mml:mrow>
<mml:mo stretchy="false">[</mml:mo>
<mml:mrow>
<mml:mi>C</mml:mi>
<mml:msubsup>
<mml:mi>O</mml:mi>
<mml:mn>3</mml:mn>
<mml:mrow>
<mml:mn>2</mml:mn>
<mml:mo>&#x2212;</mml:mo>
</mml:mrow>
</mml:msubsup>
</mml:mrow>
<mml:mo stretchy="false">]</mml:mo>
</mml:mrow>
</mml:mrow>
<mml:mrow>
<mml:msubsup>
<mml:mi>K</mml:mi>
<mml:mrow>
<mml:mi>s</mml:mi>
<mml:mi>p</mml:mi>
</mml:mrow>
<mml:mo>'</mml:mo>
</mml:msubsup>
</mml:mrow>
</mml:mfrac>
</mml:mrow>
</mml:math>
</disp-formula>
<p>where [Ca<sup>2+</sup>] and [CO<sub>3</sub>
<sup>2-</sup>] are the concentrations of calcium and carbonate ions, respectively, and K'<sub>sp</sub> is the apparent solubility product for aragonite or calcite, the polymorphic mineral forms of CaCO<sub>3</sub> in the ocean. This dimensionless parameter largely depends on temperature (T), salinity (S), and pressure (P) in the medium. Values of &#x3a9; for calcite (&#x3a9;<sub>Calcite</sub>) and aragonite (&#x3a9;<sub>Aragonite</sub>) higher than 1 indicate supersaturation, i.e. favourable conditions for calcification to proceed whereas, values of &#x3a9; lower than 1 denote undersaturation and thus, corrosive conditions for calcifiers (<xref ref-type="bibr" rid="B14">Doney et&#xa0;al., 2009</xref>).</p>
<p>Nevertheless, biogenic calcification is also affected by other factors, such as the ability of certain organisms to regulate their internal chemistry or the presence of protective organic covers (<xref ref-type="bibr" rid="B60">Miller et&#xa0;al., 2009</xref>; <xref ref-type="bibr" rid="B67">Pan et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B59">Melzner et&#xa0;al., 2020</xref>). Several studies have reported reductions in calcification rates of certain organisms even when &#x3a9; exceeds 1; for instance, in some corals when &#x3a9; is comprised within the range 2-3.5 (<xref ref-type="bibr" rid="B39">Guinotte et&#xa0;al., 2003</xref>; <xref ref-type="bibr" rid="B88">Yamamoto et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B18">Eyre et&#xa0;al., 2018</xref>). In fact, a value equal to 1.5 for &#x3a9; in both minerals, has been considered to define negative consequences for marine ecosystems even at planetary scale (<xref ref-type="bibr" rid="B37">Gruber et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B8">Broadgate et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B16">Ekstrom et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B89">Zhai, 2018</xref>) and it has been adopted as a critical threshold for calcification to occur properly.</p>
<p>As OA is strengthening and it will keep increasing over the 21<sup>st</sup> century at rates dependent on future CO<sub>2</sub> emissions, biogenic calcification will continue being at risk. However, the magnitude of OA is not homogeneous worldwide and certain areas are more affected than others (<xref ref-type="bibr" rid="B34">Gattuso et&#xa0;al., 2015</xref>). In particular, some regions in the North Atlantic and the Mediterranean Sea (MedSea) have been found to be highly sensitive to OA (<xref ref-type="bibr" rid="B25">Fontela et&#xa0;al., 2020</xref>) and noticeable gradual decreases in seawater pH have been measured over time in Atlantic and Mediterranean water masses surrounding the southern Iberian Peninsula (<xref ref-type="bibr" rid="B23">Flecha et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B24">Flecha et&#xa0;al., 2019</xref>). Therefore, it can be anticipated that the saturation state of calcium carbonate minerals in this area is being affected by the progressive OA process already documented. This assumption can be tested by assessing the temporal trend of &#x3a9; in waters of the Strait of Gibraltar (SoG), the only connection between the Atlantic Ocean and the MedSea. The SoG holds a two-way exchange, with a surface inflow of Atlantic water (AI) that moves eastwards, and a compensating westward deep outflow of Mediterranean water (MOW) underneath. The AI is primarily formed by the North Atlantic Central Water (NACW) whereas the colder and saltier MOW consists of, mainly, two water masses, the Levantine Intermediate Water (LIW) and the Western Mediterranean Deep Water (WMDW). The former is the result of the transformation process undertaken by the Atlantic surface water as it moves eastward, which makes it saltier, until it sinks to intermediate depths in the Levantine basin, the easternmost basin of the MedSea (<xref ref-type="bibr" rid="B50">Lascaratos, 1993</xref>). In contrast, the WMDW is formed in the western Mediterranean basin, as a result of the winter cooling of highly modified surface waters in the Gulf of Lions (<xref ref-type="bibr" rid="B57">MEDOC Group, 1970</xref>; <xref ref-type="bibr" rid="B27">Fourrier et&#xa0;al., 2022</xref>). Both water masses flow at depth towards the SoG and leave the MedSea, merging in the MOW in the Gulf of C&#xe1;diz. Recent estimates indicate that the median transit time of the WMDW from the Gulf of Lions to the SoG is 5 years whereas the LIW takes roughly 8 years from the Strait of Sicily to the SoG (<xref ref-type="bibr" rid="B84">Vecchioni et&#xa0;al., 2023</xref>). Furthermore, the transit time of the LIW from its formation basin to the Sicily channel ranges between 8 and 13 years, depending on the approach (<xref ref-type="bibr" rid="B74">Roether et&#xa0;al., 1998</xref>; <xref ref-type="bibr" rid="B30">Ga&#x10d;i&#x107; et&#xa0;al., 2013</xref>). Similarly, <xref ref-type="bibr" rid="B30">Ga&#x10d;i&#x107; et&#xa0;al. (2013)</xref> based on salinity anomalies estimated that the total time interval needed for the signal propagating from the Levantine basin to reach the deep mixed layers of the Algero-Proven&#xe7;al sub-basin is about 25 years. Thus, the LIW identified in the SoG has crossed a larger distance and, consequently, is older and biogeochemically more stable than the WMDW also present in the area (<xref ref-type="bibr" rid="B24">Flecha et&#xa0;al., 2019</xref> and referenes therein). Therefore, the three water masses (NACW, LIW and WMDW) found in the SoG are characterized by well-differentiated thermohaline and biogeochemical properties and history, making the channel a very suitable spot for the assessment of &#x2126; in them.</p>
<p>In this study, we used periodic high-quality measurements of the carbonate system parameters collected in the SoG during 17 years of measurements (2005-2021) to accurately determine the temporal evolution of &#x3a9; in Atlantic and Mediterranean water masses. Furthermore, as the projected changes in availability of CO<sub>3</sub>
<sup>2-</sup> in the ocean due to OA would be essentially irreversible on centennial time scales (<xref ref-type="bibr" rid="B56">Mathesius et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B44">Heinze et&#xa0;al., 2021</xref>), long-term trends of &#x3a9; were also assessed under the IPCC AR6 scenario of fossil-fuel-rich development (SSP5-8.5) (<xref ref-type="bibr" rid="B46">IPCC et&#xa0;al., 2021</xref>). The calculated projections are finally used to infer approximately when communities of calcifying organisms would be exposed to waters undersaturated for calcium carbonate minerals in this key oceanographic region.</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 and sampling procedure</title>
<p>Data used in this study were collected during 34 oceanographic campaigns (<xref ref-type="supplementary-material" rid="SM1">
<bold>Table&#xa0;1S</bold>
</xref>) conducted between 2005 and 2021 in the SoG (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>), the relatively shallow (mean depth of &#x223c;600 m, with a minimum depth of 300 m in Camarinal sill or G2 in <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>) and narrow channel (minimum width of 14 km) located between the Iberian Peninsula and Africa.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Study area. <bold>(A)</bold> Location of the Strait of Gibraltar. <bold>(B)</bold> Position of the sampling stations that form the GIFT time series (G1, G2, and G3). Topography is shown on a blue scale.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-10-1196938-g001.tif"/>
</fig>
<p>Measurements were taken in the three stations that form the marine time series GIFT (Gibraltar Fixed Time series), which are distributed along the longitudinal axis of the SoG, i.e. G1 (5&#xb0; 58.60 W, 35&#xb0; 51.68 N), G2 (5&#xb0; 44.75 W, 35&#xb0; 54.71 N), and G3 (5&#xb0; 22.10 W, 35&#xb0; 59.19 N) (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>) (<xref ref-type="bibr" rid="B24">Flecha et&#xa0;al., 2019</xref>).</p>
<p>The sampling procedure at each station in all campaigns was analogous, including the initial acquisition of temperature-salinity (T-S) profiles through a Seabird 911 Plus CTD probe installed in an oceanographic rosette. Based on the vertical thermohaline structure of the water column, the two opposite water flows were identified with the aim of taking samples in each of them by means of Niskin bottles fitted in the rosette. Therefore, samples were collected at different depths depending on the position of the flow layers in each station, covering from the surface (5 metres) to the sea bottom (360 in G1, 330 in G2 and 880 metres in G3).</p>
<p>Due to the absence of discrete measurements for the years 2016 and 2017, extensive data from a mooring line located at station G1 were used to complete the time series. The line is equipped with autonomous devices, including a Seabird SBE37-SMP and sensors for the continuous recording of pH and partial pressure of CO<sub>2</sub> (SAMI-pH and SAMI-<italic>p</italic>CO<sub>2</sub>, Sunburst Sensors, LLC) (<xref ref-type="bibr" rid="B23">Flecha et&#xa0;al., 2015</xref>). Previous studies have shown a good agreement between data acquired by these probes and those obtained from discrete measurements in the water column, which allowed us to complement the cruises database with records provided by the SAMI devices (<xref ref-type="bibr" rid="B78">Seidel et&#xa0;al., 2008</xref>; <xref ref-type="bibr" rid="B65">Okazaki et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B75">S&#xe1;nchez-Noguera et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B33">Garc&#xed;a-Lafuente et&#xa0;al., 2021</xref>).</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Biogeochemical measurements</title>
<p>Because of the conservative property of alkalinity (<xref ref-type="supplementary-material" rid="SM1">
<bold>Figure&#xa0;1S</bold>
</xref> for the SoG), this parameter was used to calculate &#x2126; along with pH, salinity, temperature and inorganic nutrients (phosphate and silicate). For total alkalinity (TA) analysis, water was collected from the Niskin bottles in a 500 ml borosilicate bottle that was poisoned with 100 &#x3bc;l of HgCl<sub>2</sub> saturated aqueous solution. Measurements were performed with a Titroprocessor (model Metrohm 794 from 2005 to 2020 and model Metrohm 888 for 2021 samples) following <xref ref-type="bibr" rid="B61">Mintrop et&#xa0;al. (2000)</xref>. Accuracy of TA measurements was checked by analysis of Certified Reference Materials provided by Prof. Andrew Dickson, Scripps Institution of Oceanography, La Jolla, CA, USA (CRMs, batches #94, #97, #136, #182, #184, #196, #199). Mean precision and accuracy of measurements in the time series were &#xb1;1 and &#xb1;4 &#x3bc;mol&#xb7;kg<sup>-1</sup>, respectively. For pH analysis, water was collected from Niskin bottles in 10 cm path-length optical glass cells for pH analysis, stored in an incubator at a temperature of 25&#xb0;C, which was connected to a circulating ultrathermostat (model P. Selecta 6000383). When the samples were tempered, pH was measured in a spectrophotometer (model Shimadzu UV-2401PC), following <xref ref-type="bibr" rid="B11">Clayton and Byrne (1993)</xref>, thereby being referred to total scale (pH<sub>T25</sub>). The precision and accuracy of the method were checked through pH measurements of the above mentioned CRMs, with the original pH<sub>T25</sub> value of each batch being calculated using the CO2SYS programme (Version v3.2.0 for MATLAB) (<xref ref-type="bibr" rid="B83">Van Heuven et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B79">Sharp et&#xa0;al., 2020</xref>), based on their nutrients, salinity and TA values provided by the supplier. Mean precision and accuracy of the pH<sub>T25</sub> measurements in the time series were equivalent to &#xb1;0.0049 and &#xb1;0.0055, respectively. For nutrient determination, water was taken from Niskin bottles, filtered through 0.7 &#x3bc;m Whatman GF/F filters and stored frozen (-20&#xb0;C) in duplicate in 5 ml plastic tubes until analysis in the laboratory that was carried out with a continuous flow auto-analyzer (Technicon) using standard colorimetric techniques <xref ref-type="bibr" rid="B40">Hansen and Koroleff (1999)</xref>, with a precision higher than &#xb1;3%. More details regarding sample collection and biogeochemical measurements are described elsewhere (<xref ref-type="bibr" rid="B22">Flecha et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B24">Flecha et&#xa0;al., 2019</xref>).</p>
<p>[CO<sub>3</sub>
<sup>2-</sup>] was subsequently calculated for each sample with the CO2SYS programme using TA, pH<sub>T25</sub>, phosphate and silicate concentrations, S, T, and P as input parameters. Proper dissociation constants for carbonic acid (<xref ref-type="bibr" rid="B58">Mehrbach et&#xa0;al., 1973</xref>; <xref ref-type="bibr" rid="B13">Dickson and Millero, 1987</xref>), stability constant of hydrogen sulfate ion (<xref ref-type="bibr" rid="B69">Perez and Fraga, 1987</xref>) and equilibrium constant of hydrogen fluorine (<xref ref-type="bibr" rid="B12">Dickson, 1990</xref>) were considered, and the boron to chlorinity ratio of <xref ref-type="bibr" rid="B51">Lee et&#xa0;al. (2010)</xref> being also used.</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Determination of water masses</title>
<p>In order to discriminate the three water masses present in the area, the approach applied previously by <xref ref-type="bibr" rid="B22">Flecha et&#xa0;al. (2012)</xref> was used, which considers known values of potential temperature (&#x3b8;) and salinity (S) to properly identify each water body (<xref ref-type="bibr" rid="B32">Garc&#xed;a Lafuente et&#xa0;al., 2007</xref>). However, marked changes in the thermohaline properties of Mediterranean water masses have been documented from 2013 onwards (<xref ref-type="bibr" rid="B33">Garc&#xed;a-Lafuente et&#xa0;al., 2021</xref>), which led us to select different values of &#x3b8; and S for the period of measurements comprised between 2013 and 2021. In particular, from 2005 to 2012 the values of &#x3b8; and S defining each water mass were chosen as 15.0&#xb0;C and 36.2 for the NACW, 13.22&#xb0;C and 38.56 for the LIW and 12.80&#xb0;C and 38.45 for the WMDW (<xref ref-type="bibr" rid="B32">Garc&#xed;a Lafuente et&#xa0;al., 2007</xref>), whereas from 2013 to 2021, these values changed to 16&#xb0;C and 36.20 for the NACW, 13.42&#xb0;C and 38.57 for the LIW, and 12.90&#xb0;C and 38.45 for the WMDW (<xref ref-type="bibr" rid="B33">Garc&#xed;a-Lafuente et&#xa0;al., 2021</xref>).</p>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>Calculation of archetypal concentrations</title>
<p>Archetypal annual concentrations of each variable (<italic>p</italic>CO<sub>2</sub>, pH<sub>T25</sub>, [CO<sub>3</sub>
<sup>2-</sup>], &#x3a9;<sub>Aragonite</sub>, and &#x3a9;<sub>Calcite</sub>) were obtained for each year and each water mass (<xref ref-type="bibr" rid="B24">Flecha et&#xa0;al., 2019</xref>). The annual archetypal concentration of a parameter N in a water mass <italic>i</italic> (in this case, NACW, LIW or WMDW) can be obtained through Equation 3:</p>
<disp-formula>
<label>(3)</label>
<mml:math display="block" id="M3">
<mml:mrow>
<mml:mo>&#x3008;</mml:mo>
<mml:msub>
<mml:mi>N</mml:mi>
<mml:mi>i</mml:mi>
</mml:msub>
<mml:mo>&#x3009;</mml:mo>
<mml:mo>=</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:msub>
<mml:mo>&#x2211;</mml:mo>
<mml:mi>j</mml:mi>
</mml:msub>
<mml:msub>
<mml:mi>x</mml:mi>
<mml:mrow>
<mml:mi>i</mml:mi>
<mml:mi>j</mml:mi>
</mml:mrow>
</mml:msub>
<mml:msub>
<mml:mi>N</mml:mi>
<mml:mi>j</mml:mi>
</mml:msub>
</mml:mrow>
<mml:mrow>
<mml:msub>
<mml:mo>&#x2211;</mml:mo>
<mml:mi>j</mml:mi>
</mml:msub>
<mml:msub>
<mml:mi>x</mml:mi>
<mml:mrow>
<mml:mi>i</mml:mi>
<mml:mi>j</mml:mi>
</mml:mrow>
</mml:msub>
</mml:mrow>
</mml:mfrac>
</mml:mrow>
</mml:math>
</disp-formula>
<p>Where N<sub>j</sub> represents the archetypal concentration of N in sample j, and x<sub>ij</sub> is the value obtained in the proportion of the water mass <italic>i</italic> of sample j, that is, the water mass mixing weighted average concentration in each water mass (<xref ref-type="bibr" rid="B1">&#xc1;lvarez-Salgado et&#xa0;al., 2013</xref>). The standard deviation (SD) of the annual archetypal concentrations was calculated using Equation 4:</p>
<disp-formula>
<label>(4)</label>
<mml:math display="block" id="M4">
<mml:mrow>
<mml:mi>S</mml:mi>
<mml:msub>
<mml:mi>D</mml:mi>
<mml:mrow>
<mml:msub>
<mml:mi>N</mml:mi>
<mml:mi>i</mml:mi>
</mml:msub>
</mml:mrow>
</mml:msub>
<mml:mo>=</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:msqrt>
<mml:mrow>
<mml:msub>
<mml:mo>&#x2211;</mml:mo>
<mml:mi>j</mml:mi>
</mml:msub>
<mml:msub>
<mml:mi>x</mml:mi>
<mml:mrow>
<mml:mi>i</mml:mi>
<mml:mi>j</mml:mi>
</mml:mrow>
</mml:msub>
<mml:msup>
<mml:mrow>
<mml:mrow>
<mml:mo stretchy="false">(</mml:mo>
<mml:mrow>
<mml:msub>
<mml:mi>N</mml:mi>
<mml:mi>j</mml:mi>
</mml:msub>
<mml:mo>&#x2212;</mml:mo>
<mml:mo>&#x3008;</mml:mo>
<mml:msub>
<mml:mi>N</mml:mi>
<mml:mi>i</mml:mi>
</mml:msub>
<mml:mo>&#x3009;</mml:mo>
</mml:mrow>
<mml:mo stretchy="false">)</mml:mo>
</mml:mrow>
</mml:mrow>
<mml:mn>2</mml:mn>
</mml:msup>
</mml:mrow>
</mml:msqrt>
</mml:mrow>
<mml:mrow>
<mml:msub>
<mml:mo>&#x2211;</mml:mo>
<mml:mi>j</mml:mi>
</mml:msub>
<mml:msub>
<mml:mi>x</mml:mi>
<mml:mrow>
<mml:mi>i</mml:mi>
<mml:mi>j</mml:mi>
</mml:mrow>
</mml:msub>
</mml:mrow>
</mml:mfrac>
</mml:mrow>
</mml:math>
</disp-formula>
</sec>
<sec id="s2_5">
<label>2.5</label>
<title>Determination of temporal trends, projected future changes and statistics</title>
<p>Temporal trends for each carbon parameter from 2005 to 2021 were determined by linear regression from the plots representing annual archetypal concentrations vs time (<xref ref-type="bibr" rid="B24">Flecha et&#xa0;al., 2019</xref>), with the standard errors also calculated and provided (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>).</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Rates of variation of <italic>p</italic>CO<sub>2</sub>, pH<sub>T25</sub>, [CO<sub>3</sub>
<sup>2-</sup>], &#x3a9;<sub>Aragonite</sub>, and &#x3a9;<sub>Calcite</sub> in the water masses present in the Strait of Gibraltar obtained from the temporal evolution of their annual archetypal concentrations during the period 2005&#x2013; 2021.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Parameter</th>
<th valign="middle" align="center">Water Masses</th>
<th valign="middle" align="center">Slope</th>
<th valign="middle" align="center">SE</th>
<th valign="middle" align="center">R<sup>2</sup>
</th>
<th valign="middle" align="center">
<italic>p</italic>-Value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" rowspan="3" align="left">
<italic>p</italic>CO<sub>2</sub>
<break/>(&#x3bc;atm&#xb7;yr<sup>-1</sup>)</td>
<td valign="middle" align="left">NACW</td>
<td valign="middle" align="center">3.13</td>
<td valign="middle" align="center">&#xb1; 0.46</td>
<td valign="middle" align="center">0.81</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left">WMDW</td>
<td valign="middle" align="center">2.24</td>
<td valign="middle" align="center">&#xb1; 0.31</td>
<td valign="middle" align="center">0.80</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left">LIW</td>
<td valign="middle" align="center">1.58</td>
<td valign="middle" align="center">&#xb1; 0.33</td>
<td valign="middle" align="center">0.64</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" rowspan="3" align="left">pH<sub>T25</sub>
<break/>(pH units yr<sup>-1</sup>)</td>
<td valign="middle" align="left">NACW</td>
<td valign="middle" align="center">-0.0030</td>
<td valign="middle" align="center">&#xb1; 0.0003</td>
<td valign="middle" align="center">0.88</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left">WMDW</td>
<td valign="middle" align="center">-0.0019</td>
<td valign="middle" align="center">&#xb1; 0.0003</td>
<td valign="middle" align="center">0.79</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left">LIW</td>
<td valign="middle" align="center">-0.0012</td>
<td valign="middle" align="center">&#xb1; 0.0002</td>
<td valign="middle" align="center">0.67</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" rowspan="3" align="left">[CO<sub>3</sub>
<sup>2-</sup>]<break/>(&#x3bc;mol&#xb7;kg<sup>-1</sup>&#xb7;yr<sup>-1</sup>)</td>
<td valign="middle" align="left">NACW</td>
<td valign="middle" align="center">-0.89</td>
<td valign="middle" align="center">&#xb1; 0.14</td>
<td valign="middle" align="center">0.80</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left">WMDW</td>
<td valign="middle" align="center">-0.62</td>
<td valign="middle" align="center">&#xb1; 0.17</td>
<td valign="middle" align="center">0.50</td>
<td valign="middle" align="center">&lt;0.05</td>
</tr>
<tr>
<td valign="middle" align="left">LIW</td>
<td valign="middle" align="center">-0.32</td>
<td valign="middle" align="center">&#xb1; 0.08</td>
<td valign="middle" align="center">0.53</td>
<td valign="middle" align="center">&lt;0.05</td>
</tr>
<tr>
<td valign="middle" rowspan="3" align="left">&#x3a9;<sub>Aragonite</sub>
<break/>(yr<sup>-1</sup>)</td>
<td valign="middle" align="left">NACW</td>
<td valign="middle" align="center">-0.0139</td>
<td valign="middle" align="center">&#xb1; 0.0024</td>
<td valign="middle" align="center">0.75</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left">WMDW</td>
<td valign="middle" align="center">-0.0102</td>
<td valign="middle" align="center">&#xb1; 0.0019</td>
<td valign="middle" align="center">0.69</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left">LIW</td>
<td valign="middle" align="center">-0.0080</td>
<td valign="middle" align="center">&#xb1; 0.0013</td>
<td valign="middle" align="center">0.74</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" rowspan="3" align="left">&#x3a9;<sub>Calcite</sub>
<break/>(yr<sup>-1</sup>)</td>
<td valign="middle" align="left">NACW</td>
<td valign="middle" align="center">-0.0215</td>
<td valign="middle" align="center">&#xb1; 0.0034</td>
<td valign="middle" align="center">0.78</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left">WMDW</td>
<td valign="middle" align="center">-0.0161</td>
<td valign="middle" align="center">&#xb1; 0.0029</td>
<td valign="middle" align="center">0.70</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left">LIW</td>
<td valign="middle" align="center">-0.0129</td>
<td valign="middle" align="center">&#xb1; 0.0021</td>
<td valign="middle" align="center">0.75</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Standard Errors are also given and denoted by SE.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>In addition, a projection of future changes in &#x3a9; was made following the procedure described by <xref ref-type="bibr" rid="B31">Garc&#xed;a-Ib&#xe1;&#xf1;ez et&#xa0;al. (2021)</xref> by extrapolation of the linearized &#x2126; values and atmospheric CO<sub>2</sub> concentration assuming thermodynamic equilibrium conditions between atmospheric CO<sub>2</sub> and seawater. The hydrodynamics of SoG where physical processes clearly condition biological activity and where the influence of coastal processes is negligible (<xref ref-type="bibr" rid="B54">Mac&#xed;as et&#xa0;al., 2009</xref>) allow to consider that the main factor affecting &#x3a9; was the rise in CO<sub>2</sub>. Although the response of ocean chemistry to the increase in atmospheric CO<sub>2</sub> is not linear for long periods of time, it can be linearised if natural logarithm (<italic>ln</italic>) is applied to both &#x3a9; and atmospheric CO<sub>2</sub> values (<xref ref-type="bibr" rid="B31">Garc&#xed;a-Ib&#xe1;&#xf1;ez et&#xa0;al., 2021</xref>). Therefore, the future evolution of &#x3a9; in relation to the increase in atmospheric CO<sub>2</sub> levels in the SoG was assessed by performing a linear extrapolation of the observed relationship between <italic>ln</italic> &#x3a9; versus <italic>ln</italic> [CO<sub>2</sub>]<sub>atm</sub>. Our future projections are then based on the linear extrapolation of observed trends in &#x3a9; over 17 years (2005-2021). Annual averages of atmospheric CO<sub>2</sub> concentrations for this time period were obtained from the Iza&#xf1;a Global Atmospheric observatory (Agencia Estatal de Meteorolog&#xed;a, AEMET) belonging to the NOAA (National Oceanic and Atmospheric Administration, USA) monitoring network (<ext-link ext-link-type="uri" xlink:href="https://gml.noaa.gov/ccgg/trends/data.html">https://gml.noaa.gov/ccgg/trends/data.html</ext-link>). From the projected &#x3a9; trends, the years in which &#x3a9; will exhibit critical or corrosive values for calcification in the water masses of the SoG was determined considering the SSP5-8.5 IPCC AR6 scenario, which assumes that CO<sub>2</sub> emissions in 2050 will roughly double from current levels (<xref ref-type="bibr" rid="B46">IPCC et&#xa0;al., 2021</xref>) (<xref ref-type="supplementary-material" rid="SM1">
<bold>Figure&#xa0;2S</bold>
</xref>). MATLAB programming language (The MathWorks, Inc.) was used to perform the statistical analyses. Significance levels were set at p&lt;0.001 or p&lt;0.05 (<xref ref-type="table" rid="T1">
<bold>Tables&#xa0;1</bold>
</xref>&#x2013;<xref ref-type="table" rid="T3">
<bold>3</bold>
</xref>).</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Statistics of linear fitting of &#x3a9;<sub>Aragonite</sub> and &#x3a9;<sub>Calcite</sub> vs the variation of the atmospheric CO<sub>2</sub> concentration in the water masses present in the Strait of Gibraltar.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Linear fitting</th>
<th valign="middle" align="center">Water Masses</th>
<th valign="middle" align="center">Slope</th>
<th valign="middle" align="center">SE</th>
<th valign="middle" align="center">R<sup>2</sup>
</th>
<th valign="middle" align="center">
<italic>p</italic>-Value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" rowspan="3" align="left">&#x3a9;<sub>Aragonite</sub> vs [CO<sub>2</sub>]<sub>atm</sub>
</td>
<td valign="middle" align="left">NACW</td>
<td valign="middle" align="center">-0.0060</td>
<td valign="middle" align="center">&#xb1; 0.0010</td>
<td valign="middle" align="center">0.75</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left">WMDW</td>
<td valign="middle" align="center">-0.0044</td>
<td valign="middle" align="center">&#xb1; 0.0008</td>
<td valign="middle" align="center">0.71</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left">LIW</td>
<td valign="middle" align="center">-0.0035</td>
<td valign="middle" align="center">&#xb1; 0.0005</td>
<td valign="middle" align="center">0.77</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" rowspan="3" align="left">&#x3a9;<sub>Calcite</sub>vs [CO<sub>2</sub>]<sub>atm</sub>
</td>
<td valign="middle" align="left">NACW</td>
<td valign="middle" align="center">-0.0092</td>
<td valign="middle" align="center">&#xb1; 0.0015</td>
<td valign="middle" align="center">0.78</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left">WMDW</td>
<td valign="middle" align="center">-0.0070</td>
<td valign="middle" align="center">&#xb1; 0.0012</td>
<td valign="middle" align="center">0.72</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left">LIW</td>
<td valign="middle" align="center">-0.0056</td>
<td valign="middle" align="center">&#xb1; 0.0008</td>
<td valign="middle" align="center">0.78</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Standard Errors are denoted by SE.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<sec id="s3_1">
<label>3.1</label>
<title>Trends of biogeochemical variables</title>
<p>
<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref> shows the trends of the archetypical concentrations of carbonate system parameters relevant for &#x2126; in the SoG, whereas their calculated rates of change are indicated in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>. Overall, NACW exhibited the highest rates of change in all variables in contrast to the LIW in which variations were less pronounced over time. In particular, seawater <italic>p</italic>CO<sub>2</sub> progressively increased over the 2005-2021 period in all the water masses, with the NACW being characterized by the highest rise at a rate of 3.13 &#xb1; 0.46 &#xb5;atm&#xb7;yr<sup>-1</sup>, followed by the WMDW and LIW with increasing rates of 2.24 &#xb1; 0.31 &#xb5;atm&#xb7;yr<sup>-1</sup> and 1.58 &#xb1; 0.33 &#xb5;atm&#xb7;yr<sup>-1</sup>, respectively. In contrast, and as expected, the rest of properties (pH<sub>T25</sub>, [CO<sub>3</sub>
<sup>2-</sup>], &#x3a9;<sub>Aragonite,</sub> and &#x3a9;<sub>Calcite</sub>) exhibited an opposite temporal trend, gradually decreasing over the time series.</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Temporal trends (2005-2021) of carbonate system parameters related to the saturation state of calcium carbonate minerals in the Strait of Gibraltar. All parameters are shown for the three water masses present in the water column that are plotted in different colours (blue, red and grey for NACW, LIW and WMDW, respectively). Data correspond to annual archetypal concentrations of <italic>p</italic>CO<sub>2</sub> (<italic>&#xb5;</italic>atm) <bold>(A)</bold>; pH<sub>T25</sub> <bold>(B)</bold>; [CO<sub>3</sub>
<sup>2-</sup>] (<italic>&#xb5;</italic>mol&#xb7;kg<sup>-1</sup>) <bold>(C)</bold>; &#x3a9;<sub>Aragonite</sub> <bold>(D)</bold> and &#x3a9;<sub>Calcite</sub> <bold>(E)</bold>.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-10-1196938-g002.tif"/>
</fig>
<p>In the NACW, pH<sub>T25</sub> declined at a rate of -0.0030 &#xb1; 0.0003 pH units yr<sup>-1</sup>, whereas in the WMDW and LIW pH<sub>T25</sub> diminished and rates of -0.0019 &#xb1; 0.0003 and -0.0012 &#xb1; 0.0002 pH units yr<sup>-1</sup> respectively. In the case of [CO<sub>3</sub>
<sup>2-</sup>], temporal decreases occurred at rates of -0.89 &#xb1; 0.14 &#xb5;mol&#xb7;kg<sup>-1</sup>&#xb7;yr<sup>-1</sup>, -0.62 &#xb1; 0.17 &#xb5;mol&#xb7;kg<sup>-1</sup>&#xb7;yr<sup>-1</sup> and -0.32 &#xb1; 0.08 &#xb5;mol&#xb7;kg<sup>-1</sup>&#xb7;yr<sup>-1</sup> in the NACW, WMDW, and LIW respectively. Accordingly, &#x3a9;<sub>Aragonite</sub> lowered at rates of -0.0139 &#xb1; 0.0024 yr<sup>-1</sup> in the NACW, -0.0102 &#xb1; 0.0019 yr<sup>-1</sup> in the WMDW, and -0.0080 &#xb1; 0.0013 yr<sup>-1</sup> in the LIW. Despite calcite being less soluble than aragonite in seawater, rates of variation of its saturation state over time were slightly greater, yet similar, than those of aragonite in the three water masses (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>).</p>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Current and future evolution of saturation states of calcium carbonate minerals in the SoG</title>
<p>As expected, &#x3a9;<sub>Aragonite</sub> and &#x3a9;<sub>Calcite</sub> were negatively correlated with respect to the variation of the atmospheric CO<sub>2</sub> concentration ([CO<sub>2</sub>]<sub>atm</sub>) (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>). It is evident that &#x2126; decreased for both minerals in the area during the study period, with significant correlations always found between the contrasted parameters (<italic>p</italic>&lt;0.001 <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>).</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Correlation between the annual mean archetypal concentrations of the saturation state (&#x3a9;) of calcium carbonate minerals (aragonite in <bold>(A)</bold> and calcite in <bold>(B)</bold>) and annual atmospheric CO<sub>2</sub> concentration ([CO<sub>2</sub>]<sub>atm</sub>) in water masses found in the SoG, (NACW in blue, LIW in red and WMDW in grey). Slopes, SE (both in ppm<sup>-1</sup>) and correlation coefficients are indicated inside the plots. The time frame is indicated as years over the X axis (in red).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-10-1196938-g003.tif"/>
</fig>
<p>Using the current rising rate of [CO<sub>2</sub>]<sub>atm</sub> and annual archetypal values of &#x3a9;<sub>Aragonite</sub> and &#x3a9;<sub>Calcite</sub> obtained each year in the three water masses, long-term trends were projected (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>). By using the correlations found between the <italic>ln</italic> of &#x3a9; and [CO<sub>2</sub>]<sub>atm</sub> (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>), the [CO<sub>2</sub>]<sub>atm</sub> at which critical (<xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>) and undersaturation &#x3a9; values (<xref ref-type="table" rid="T5">
<bold>Table&#xa0;5</bold>
</xref>) will be reached in the NACW, WMDW, and LIW (<xref ref-type="supplementary-material" rid="SM1">
<bold>Figure&#xa0;2S</bold>
</xref>) were estimated.</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Projections of the observed long-term trends (2005-2021) of the natural logarithm of aragonite saturation state <bold>(A)</bold> and calcite saturation state <bold>(B)</bold> versus the natural logarithm of the atmospheric CO<sub>2</sub> concentration during the monitoring period per water mass. Solid lines represent the weighted linear trends of ln (&#x3a9;<sub>Aragonite</sub>) <bold>(A)</bold> and ln (&#x3a9;<sub>Calcite</sub>) <bold>(B)</bold> vs ln [CO<sub>2</sub>]<sub>atm</sub> (upper x-axes), and dashed lines represent the error of the estimate. Lower x-axes (in grey) represent the [CO<sub>2</sub>]<sub>atm</sub> values (in ppm) corresponding to the ln [CO<sub>2</sub>]<sub>atm</sub> given on the upper x-axes in which undersaturation (&#x3a9; value=1) of aragonite and calcite are reached. Lower x-axes (in red) denote the years when these concentrations will occur in each water mass. The horizontal dashed line represents the &#x3a9; critical point for both minerals (value=1.5) that mark unfavourable conditions for biogenic calcification to proceed along with the years at which it is expected to appear in the three water masses. The plot is split by a grey dashed line that marks the different chemical conditions expected in all water masses with respect to &#x3a9; values before the end of the current century (on the left) and beyond 2100 (on the right) according to the SSP5-8.5 scenario.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-10-1196938-g004.tif"/>
</fig>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Statistics of future projections of &#x3a9;<sub>Aragonite</sub> and &#x3a9;<sub>Calcite</sub> in the water masses present in the Strait of Gibraltar.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Linear fitting</th>
<th valign="middle" align="center">Water Masses</th>
<th valign="middle" align="center">Slope</th>
<th valign="middle" align="center">SE</th>
<th valign="middle" align="center">R<sup>2</sup>
</th>
<th valign="middle" align="center">
<italic>p</italic>-Value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" rowspan="3" align="left">ln(&#x3a9;<sub>Aragonite</sub>) vs ln([CO<sub>2</sub>]<sub>atm</sub>)</td>
<td valign="middle" align="left">NACW</td>
<td valign="middle" align="center">-0.8722</td>
<td valign="middle" align="center">&#xb1; 0.1521</td>
<td valign="middle" align="center">0.75</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left">WMDW</td>
<td valign="middle" align="center">-0.6924</td>
<td valign="middle" align="center">&#xb1; 0.1235</td>
<td valign="middle" align="center">0.71</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left">LIW</td>
<td valign="middle" align="center">-0.5379</td>
<td valign="middle" align="center">&#xb1; 0.0820</td>
<td valign="middle" align="center">0.77</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" rowspan="3" align="left">ln(&#x3a9;<sub>Calcite)</sub> vs ln([CO<sub>2</sub>]<sub>atm</sub>)</td>
<td valign="middle" align="left">NACW</td>
<td valign="middle" align="center">-0.8712</td>
<td valign="middle" align="center">&#xb1; 0.1402</td>
<td valign="middle" align="center">0.78</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left">WMDW</td>
<td valign="middle" align="center">-0.7044</td>
<td valign="middle" align="center">&#xb1; 0.1228</td>
<td valign="middle" align="center">0.72</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left">LIW</td>
<td valign="middle" align="center">-0.5583</td>
<td valign="middle" align="center">&#xb1; 0.0826</td>
<td valign="middle" align="center">0.78</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Standard Errors are denoted by SE.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>Range of [CO<sub>2</sub>]<sub>atm</sub> obtained by considering the errors of the estimate for &#x3a9; =1.5 for the three water masses present in the water column.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">&#x3a9; Critical</th>
<th valign="middle" align="center">Water Masses</th>
<th valign="middle" align="center">[CO<sub>2</sub>]<sub>atm</sub>
<break/>Y2= (m &#x2013; SE) &#xb7; X + n2</th>
<th valign="middle" align="center">[CO<sub>2</sub>]<sub>atm</sub>
<break/>Y= m &#xb7; X + n</th>
<th valign="middle" align="center">[CO<sub>2</sub>]<sub>atm</sub>
<break/>Y1= (m + SE) &#xb7; X + n1</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" rowspan="3" align="left">&#x3a9;<sub>Aragonite</sub>
</td>
<td valign="middle" align="left">NACW</td>
<td valign="middle" align="center">710</td>
<td valign="middle" align="center">786</td>
<td valign="middle" align="center">908</td>
</tr>
<tr>
<td valign="middle" align="left">WMDW</td>
<td valign="middle" align="center">756</td>
<td valign="middle" align="center">849</td>
<td valign="middle" align="center">1001</td>
</tr>
<tr>
<td valign="middle" align="left">LIW</td>
<td valign="middle" align="center">955</td>
<td valign="middle" align="center">1092</td>
<td valign="middle" align="center">1310</td>
</tr>
<tr>
<td valign="middle" rowspan="3" align="left">&#x3a9;<sub>Calcite</sub>
</td>
<td valign="middle" align="left">NACW</td>
<td valign="middle" align="center">1102</td>
<td valign="middle" align="center">1299</td>
<td valign="middle" align="center">1631</td>
</tr>
<tr>
<td valign="middle" align="left">WMDW</td>
<td valign="middle" align="center">1276</td>
<td valign="middle" align="center">1564</td>
<td valign="middle" align="center">2090</td>
</tr>
<tr>
<td valign="middle" align="left">LIW</td>
<td valign="middle" align="center">1842</td>
<td valign="middle" align="center">2312</td>
<td valign="middle" align="center">3142</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Where Y= m - X + n is the fitted line (Y= Ln(&#x3a9;); m= slope; X= Ln([CO<sub>2</sub>]); n= y-intercept), whereas Y2= (m - SE) - X + n2 and Y1= (m + SE) - X + n1 are the fitted lines that consider the confidence interval of the initial fit (SE).</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T5" position="float">
<label>Table&#xa0;5</label>
<caption>
<p>Range of [CO<sub>2</sub>]<sub>atm</sub> obtained by considering the errors of the estimate for &#x3a9; =1 for the three water masses present in the water column.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">&#x3a9; Undersaturation</th>
<th valign="middle" align="center">Water Masses</th>
<th valign="middle" align="center">[CO<sub>2</sub>]<sub>atm</sub>
<break/>Y2= (m &#x2013; SE) &#xb7; X + n2</th>
<th valign="middle" align="center">[CO<sub>2</sub>]<sub>atm</sub>
<break/>Y= m &#xb7; X + n</th>
<th valign="middle" align="center">[CO<sub>2</sub>]<sub>atm</sub>
<break/>Y1= (m + SE) &#xb7; X + n1</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" rowspan="3" align="left">&#x3a9;<sub>Aragonite</sub>
</td>
<td valign="middle" align="left">NACW</td>
<td valign="middle" align="center">1055</td>
<td valign="middle" align="center">1251</td>
<td valign="middle" align="center">1595</td>
</tr>
<tr>
<td valign="middle" align="left">WMDW</td>
<td valign="middle" align="center">1243</td>
<td valign="middle" align="center">1524</td>
<td valign="middle" align="center">2042</td>
</tr>
<tr>
<td valign="middle" align="left">LIW</td>
<td valign="middle" align="center">1837</td>
<td valign="middle" align="center">2320</td>
<td valign="middle" align="center">3188</td>
</tr>
<tr>
<td valign="middle" rowspan="3" align="left">&#x3a9;<sub>Calcite</sub>
</td>
<td valign="middle" align="left">NACW</td>
<td valign="middle" align="center">1646</td>
<td valign="middle" align="center">2069</td>
<td valign="middle" align="center">2841</td>
</tr>
<tr>
<td valign="middle" align="left">WMDW</td>
<td valign="middle" align="center">2083</td>
<td valign="middle" align="center">2781</td>
<td valign="middle" align="center">4196</td>
</tr>
<tr>
<td valign="middle" align="left">LIW</td>
<td valign="middle" align="center">3468</td>
<td valign="middle" align="center">4781</td>
<td valign="middle" align="center">7368</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Where Y= m - X + n is the fitted line (Y= Ln(&#x3a9;); m= slope; X= Ln([CO<sub>2</sub>]); n= y-intercept), whereas Y2= (m - SE) - X + n2 and Y1= (m + SE) - X + n1 are the fitted lines that consider the confidence interval of the initial fit (SE).</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>According to our analysis, unfavourable or critical conditions for calcifiers to use aragonite (&#x3a9;<sub>Aragonite</sub>=1.5) in the NACW, WMDW, and LIW will occur at atmospheric CO<sub>2</sub> concentrations of 786, 849 and 1092 ppm respectively, which are expected for years 2074, 2079, and 2096 under the SSP5-8.5 scenario, respectively (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref> and <xref ref-type="supplementary-material" rid="SM1">
<bold>Figure&#xa0;2S</bold>
</xref>). Undersaturation in the three water masses would arise at [CO<sub>2</sub>]<sub>atm</sub> of 1251, 1524 and 2320 ppm, levels that will be reached well beyond 2100. As IPCC models do not project future trends for the next century, the exact timing for the SoG region to be undersaturated with respect to aragonite was not calculated. This is also the case for calcite, whose &#x3a9;=1.5 in the NACW, WMDW and LIW would occur at atmospheric levels of 1299, 1564 and 2312 ppm, which are not contemplated to be reached before the end of the current century under the SSP5-8.5.</p>
<p>The range of [CO<sub>2</sub>]<sub>atm</sub> obtained by considering the errors of these estimates is shown in <xref ref-type="table" rid="T4">
<bold>Tables&#xa0;4</bold>
</xref> and <xref ref-type="table" rid="T5">
<bold>5</bold>
</xref> for critical and undersaturation conditions, respectively. Similarly, the range of years is summarized in <xref ref-type="supplementary-material" rid="SM1">
<bold>Tables&#xa0;2S</bold>
</xref> and <xref ref-type="supplementary-material" rid="SM1">
<bold>3S</bold>
</xref>.</p>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<p>Results shown here show clear evidence that the saturation state of calcium carbonate minerals in the water column of the SoG is decreasing due to the decline in carbonate ions in response to the gradual diminution of seawater pH in the area. Our findings are coherent with a previous study reporting that water masses in the SoG were markedly affected by the uptake and storage of anthropogenic CO<sub>2</sub> during the 2005-2015 decade, leading to an evident OA in them (<xref ref-type="bibr" rid="B24">Flecha et&#xa0;al., 2019</xref>). In this work, when the time series of measurements spanned six additional years (up to 2021), the temporal decline in pH<sub>T25</sub> in Mediterranean and Atlantic water masses is maintained at nearly the same annual rates as those provided by <xref ref-type="bibr" rid="B24">Flecha et&#xa0;al. (2019)</xref>. Furthermore, our analysis also indicates that even though the LIW is experiencing a certain increase in its CO<sub>2</sub> content over time, it is less affected by the process of OA in relation to its Mediterranean counterpart and the NACW. As suggested by several authors, its age and intermediate position in the water column prevent a high penetration of atmospheric CO<sub>2</sub>, which makes it more biogeochemically stable (<xref ref-type="bibr" rid="B41">Hassoun et&#xa0;al., 2015</xref> and references therein). Nevertheless, it still contains a large natural component of CO<sub>2</sub> due to remineralization and/or mixing with water masses having higher anthropogenic carbon content during the long transit from its origin basin towards the Strait (<xref ref-type="bibr" rid="B24">Flecha et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B84">Vecchioni et&#xa0;al., 2023</xref>), which impacts its pH. OA rates have been measured in a number of marine eco-regions from coastal to open ocean regions, resulting in a broad range of values. <xref ref-type="bibr" rid="B9">Carstensen and Duarte (2019)</xref> provided an average acidification rate for the coastal ocean equivalent to &#xb1;0.023 pH units yr<sup>-1</sup> versus a range of -0.0004 pH units yr<sup>-1</sup> and -0.0026 pH units yr<sup>-1</sup> in open ocean areas. If the bulk of pH data available in the water column at the SoG are considered, the average value for pH<sub>T25</sub> decline in the region equals to -0.002 pH units yr<sup>-1</sup>, falling within the range found for open ocean sites (<xref ref-type="bibr" rid="B9">Carstensen and Duarte, 2019</xref>). Certain areas are characterized by a strong pH decline tendency, such as the coastal ocean in Korea, the continental shelf of the Gulf of C&#xe1;diz, and surface waters of the Mediterranean Sea. In contrast, lower acidification rates have been reported in the North Pacific Ocean, the Munida and the Iceland Sea time series, and the upper water column (&#x223c;75 m) of the Western Mediterranean. In the Atlantic time series ESTOC, BATS, and CARIACO, the rates are of the same order of magnitude as those observed in several sections of the MedSea (<xref ref-type="table" rid="T6">
<bold>Table&#xa0;6</bold>
</xref>). Acidification rates calculated here in the water masses exchanging at the SoG (-0.0030, -0.0019 and -0.0012 pH units yr<sup>-1</sup> for the NACW, the WMDW and the LIW, respectively) are in agreement with those provided in other Atlantic and Mediterranean regions. However, pH decline in the NACW seems to be slighter higher than others, which is the outcome of the conjunction between the anthropogenic CO<sub>2</sub> concentration contained by this water mass (<xref ref-type="bibr" rid="B24">Flecha et&#xa0;al., 2019</xref>) and the accumulation of CO<sub>2</sub> resulting from organic matter degradation in the productive Gulf of C&#xe1;diz (<xref ref-type="bibr" rid="B64">Navarro et&#xa0;al., 2006</xref>; <xref ref-type="bibr" rid="B24">Flecha et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B2">&#xc1;lvarez-Salgado et&#xa0;al., 2020</xref>).</p>
<table-wrap id="T6" position="float">
<label>Table&#xa0;6</label>
<caption>
<p>Seawater pH trend values calculated in different ocean sites and time series.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Area</th>
<th valign="middle" align="center">pH decline rate (pH units yr<sup>-1</sup>)</th>
<th valign="middle" align="center">Reference</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">Korean Coastal ocean</td>
<td valign="middle" align="center">-0.01</td>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B68">Park and Lee (2023)</xref>
</td>
</tr>
<tr>
<td valign="middle" align="center">Continental shelf of the Gulf of C&#xe1;diz</td>
<td valign="middle" align="center">-0.009</td>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B48">Jim&#xe9;nez-L&#xf3;pez et&#xa0;al., 2021</xref>
</td>
</tr>
<tr>
<td valign="middle" align="center">Surface waters of the Mediterranean Sea</td>
<td valign="middle" align="center">-0.009</td>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B42">Hassoun et&#xa0;al. (2019)</xref>
</td>
</tr>
<tr>
<td valign="middle" align="center">North Pacific Ocean</td>
<td valign="middle" align="center">-0.001</td>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B76">Wakita et&#xa0;al. (2013)</xref>
</td>
</tr>
<tr>
<td valign="middle" align="center">Munida time series</td>
<td valign="middle" align="center">-0.0013</td>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B4">Bates et&#xa0;al. (2014)</xref>
</td>
</tr>
<tr>
<td valign="middle" align="center">Iceland Sea</td>
<td valign="middle" align="center">-0.0014</td>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B4">Bates et&#xa0;al. (2014)</xref>
</td>
</tr>
<tr>
<td valign="middle" align="center">Surface waters of the Western Mediterranean</td>
<td valign="middle" align="center">-0.0013</td>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B43">Hassoun et&#xa0;al. (2022)</xref>
</td>
</tr>
<tr>
<td valign="middle" align="center">Atlantic sites</td>
<td valign="middle" align="center">-0.0016 to -0.0025</td>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B6">Bates and Peters (2007)</xref>
<break/>
<xref ref-type="bibr" rid="B86">Santana&#x2010;Casiano et&#xa0;al. (2007)</xref>
<break/>
<xref ref-type="bibr" rid="B3">Bates et&#xa0;al. (2012)</xref>
<break/>
<xref ref-type="bibr" rid="B4">Bates et&#xa0;al. (2014)</xref>
<break/>
<xref ref-type="bibr" rid="B82">Takahashi et&#xa0;al. (2014)</xref>
<break/>
<xref ref-type="bibr" rid="B5">Bates and Johnson, 2020</xref>
</td>
</tr>
<tr>
<td valign="middle" align="center">Eastern Mediterranean Basin</td>
<td valign="middle" align="center">-0.0021 to -0.0024</td>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B43">Hassoun et&#xa0;al. (2022)</xref>
</td>
</tr>
<tr>
<td valign="middle" align="center">Western Mediterranean Basin</td>
<td valign="middle" align="center">-0.0013 to -0.0022</td>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B43">Hassoun et&#xa0;al. (2022)</xref>
<break/>
<xref ref-type="bibr" rid="B27">Fourrier et&#xa0;al. (2022)</xref>
</td>
</tr>
<tr>
<td valign="middle" align="center">Central Mediterranean</td>
<td valign="middle" align="center">-0.0016</td>
<td valign="middle" align="center">
<xref ref-type="bibr" rid="B27">Fourrier et&#xa0;al. (2022)</xref>
</td>
</tr>
<tr>
<td valign="middle" align="center">Strait of Gibraltar</td>
<td valign="middle" align="center">-0.002</td>
<td valign="middle" align="center">This work</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>As a result of the different OA rates observed, the current saturation state of CaCO<sub>3</sub> minerals in water masses at the SoG markedly differs. It is well known that &#x2126; varies regionally and distinct values of this parameter have been provided in the Atlantic Ocean (<xref ref-type="bibr" rid="B21">Fern&#xe1;ndez-Guallart, 2015</xref>; <xref ref-type="bibr" rid="B47">Jiang et&#xa0;al., 2015</xref>), the Gulf of C&#xe1;diz (<xref ref-type="bibr" rid="B48">Jim&#xe9;nez-L&#xf3;pez et&#xa0;al., 2021</xref>), the MedSea (<xref ref-type="bibr" rid="B41">Hassoun et&#xa0;al., 2015</xref>), the southeastern Yellow Sea (<xref ref-type="bibr" rid="B10">Choi et&#xa0;al., 2020</xref>), the northern Gulf of Alaska (<xref ref-type="bibr" rid="B17">Evans et&#xa0;al., 2013</xref>), and others (<xref ref-type="bibr" rid="B19">Feely et&#xa0;al., 2009</xref>). Our &#x2126; estimates are of the same order of magnitude as those shown in these studies, and similar to previous calculations provided for several Mediterranean water masses (<xref ref-type="bibr" rid="B41">Hassoun et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B42">Hassoun et&#xa0;al., 2019</xref>). Data collected in an earlier survey (2013) carried out in the SoG, provided values of &#x3a9;<sub>Aragonite</sub> and &#x3a9;<sub>Calcite</sub> of ~2.6-3 and ~4.2-4.6, respectively (<xref ref-type="bibr" rid="B41">Hassoun et&#xa0;al., 2015</xref>), in agreement with our results. Similarly, &#x3a9;<sub>Aragonite</sub> of approximately 2.5 has been given for the NACW<sub>T</sub> (North Atlantic Central Water of subtropical origin) at the Gulf of C&#xe1;diz using data taken from 2014 to 2016 (<xref ref-type="bibr" rid="B48">Jim&#xe9;nez-L&#xf3;pez et&#xa0;al., 2021</xref>), which is not far from our calculations based on 17 continuous years of measurements in the SoG (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>). This study also reported &#x3a9;<sub>Aragonite</sub> values of 1.56 for the NACW<sub>P</sub> (North Atlantic Central Water of subpolar origin) and 2.22 for the MOW, which is much lower than omega shown here for the Mediterranean outflow at the Strait. Moreover, in the Levantine Basin, average values of &#x3a9;<sub>Aragonite</sub> and &#x3a9;<sub>Calcite</sub> equivalent to 3.4 and 5.3 have been obtained elsewhere, corresponding to a recently formed LIW (<xref ref-type="bibr" rid="B41">Hassoun et&#xa0;al., 2015</xref>).</p>
<p>Our assessment also shows a gradual temporal reduction of &#x2126; in the three water masses over the time series. Overall, &#x2126;<sub>Aragonite</sub> decreased at annual rates of -0.0107 yr<sup>-1</sup> in the whole water column of the Strait, -0.0091 yr<sup>-1</sup> in the MOW and at specific rates of -0.0139 yr<sup>-1</sup>, -0.0102 yr<sup>-1</sup> and -0.0080 yr<sup>-1</sup>, in the NACW, WMDW and LIW, respectively (<xref ref-type="supplementary-material" rid="SM1">
<bold>Table&#xa0;4S</bold>
</xref>). These rates are much lower than those reported in the continental shelf of the Gulf of C&#xe1;diz (-0.0552 yr<sup>-1</sup>, <xref ref-type="bibr" rid="B48">Jim&#xe9;nez-L&#xf3;pez et&#xa0;al., 2021</xref>) using disperse measurements from 2006 to 2016 and in 2013 in the Levantine basin (-0.07 yr<sup>-1</sup>, <xref ref-type="bibr" rid="B42">Hassoun et&#xa0;al., 2019</xref>). Our results are, however, in line with several studies conducted across the Atlantic that provide values comprised between -0.010 yr<sup>-1</sup> and -0.0140 yr<sup>-1</sup> (<xref ref-type="bibr" rid="B36">Gonz&#xe1;lez-D&#xe1;vila et&#xa0;al., 2010</xref>; <xref ref-type="bibr" rid="B3">Bates et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B82">Takahashi et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B26">Fontela et&#xa0;al., 2021</xref>). In the case of calcite, the rates of decline (-0.0168 yr<sup>-1</sup>, -0.0145 yr<sup>-1</sup>, -0.0215 yr<sup>-1</sup>, -0.0161 yr<sup>-1</sup> and -0.0129 yr<sup>-1</sup> in the water column, the MOW, NACW, WMDW and LIW, respectively) are also similar to those computed in Atlantic time series (values between -0.010 yr<sup>-1</sup> and -0.0209 yr<sup>-1</sup>, <xref ref-type="bibr" rid="B6">Bates and Peters, 2007</xref>; <xref ref-type="bibr" rid="B36">Gonz&#xe1;lez-D&#xe1;vila et&#xa0;al., 2010</xref>; <xref ref-type="bibr" rid="B82">Takahashi et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B5">Bates and Johnson, 2020</xref>) but lower than that in the Levantine basin (-0.1 yr<sup>-1</sup>, <xref ref-type="bibr" rid="B42">Hassoun et&#xa0;al., 2019</xref>).</p>
<p>Spatial variations in the ranges of calcium carbonate mineral decline can be attributed to the fact that every region and each water mass has specific characteristics that directly influence the rate of change of &#x3a9;. For instance, coastal areas and marginal seas generally have a higher tendency to acidify as a result of stronger anthropogenic impacts (<xref ref-type="bibr" rid="B9">Carstensen and Duarte, 2019</xref>). Additionally, a significant increase in temperature and biological factors are also associated (<xref ref-type="bibr" rid="B48">Jim&#xe9;nez-L&#xf3;pez et&#xa0;al., 2021</xref>). In contrast, in most open ocean areas, the influence of the biological uptake of CO<sub>2</sub> decreases and the change in saturation of calcium carbonate minerals is mostly caused by the uptake of atmospheric CO<sub>2</sub> (<xref ref-type="bibr" rid="B31">Garc&#xed;a-Ib&#xe1;&#xf1;ez et&#xa0;al., 2021</xref>).</p>
<p>Considering the rates of &#x3a9;<sub>Aragonite</sub> decline in the SoG and taking the IPCC AR6 SSP5-8.5 scenario for the CO<sub>2</sub> emissions progression, a high vulnerability of calcifiers to ocean acidification is expected in the area before the end of the 21<sup>st</sup> century. In particular, critical conditions for biogenic calcification will be reached in less than 60 years in the upper and bottom layers of the SoG (51 and 56 years for the NACW and WMDW respectively). Furthermore, even though the LIW seems to be less strongly perturbated than the other two water masses, an unfavourable scenario for calcification would also occur in approximately 75 years from now. Due to the lower solubility of calcite in seawater (<xref ref-type="bibr" rid="B81">Sulpis et&#xa0;al., 2022</xref>), unfavourable conditions with respect to this mineral will arise in the region beyond 2100. Critical conditions have been defined here by a threshold of &#x3a9;=1.5 for both aragonite and calcite, as this value has been adopted in several studies to assess the vulnerability of marine calcifiers to OA and its repercussion for marine ecosystems (<xref ref-type="bibr" rid="B37">Gruber et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B8">Broadgate et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B16">Ekstrom et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B89">Zhai, 2018</xref>). Moreover, evident reductions in calcification rates of marine organisms have been reported at &#x3a9; values of 2-3.5 (<xref ref-type="bibr" rid="B39">Guinotte et&#xa0;al., 2003</xref>; <xref ref-type="bibr" rid="B88">Yamamoto et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B18">Eyre et&#xa0;al., 2018</xref>). Therefore, the range of current estimations of &#x3a9;<sub>Aragonite</sub> in the SoG along with its projected rates of decline in all the water masses under a high CO<sub>2</sub> emission pathway depict a catastrophic scenario for the marine ecosystem in the region. Calcifiers are essential to maintain the ecological status of the pelagic and benthic ecosystems (and their living resources) in the sub-basins connected by the Strait, the Gulf of C&#xe1;diz and the Mediterranean Alboran Sea (<xref ref-type="bibr" rid="B85">Vertino et&#xa0;al., 2010</xref>; <xref ref-type="bibr" rid="B63">Movilla, 2015</xref>; <xref ref-type="bibr" rid="B53">Lozano et&#xa0;al., 2020</xref>), where a significant number of planktonic calcifiers (coccolithophores, foraminifera), pelagic mollusks (pteropods), bivalves, calcareous algae and corals thrive (<xref ref-type="bibr" rid="B72">Reguera et&#xa0;al., 2009</xref>; <xref ref-type="bibr" rid="B7">Bautista-Chamizo et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B48">Jim&#xe9;nez-L&#xf3;pez et&#xa0;al., 2021</xref>). According to our findings, regional calcifying communities are at high risk due to the gradual OA that is proceeding in the area, which will restrict the levels of carbonate ions required for a proper calcification well before the end of the 21<sup>st</sup> century.</p>
<p>It has been predicted that by 2100, 91% of the whole ocean will be undersaturated to aragonite (<xref ref-type="bibr" rid="B34">Gattuso et&#xa0;al., 2015</xref>) including the Southern Ocean and parts of the North Pacific (<xref ref-type="bibr" rid="B19">Feely et&#xa0;al., 2009</xref>), the Irminger and Iceland Basin (<xref ref-type="bibr" rid="B31">Garc&#xed;a-Ib&#xe1;&#xf1;ez et&#xa0;al., 2021</xref>), the Nordic Seas (<xref ref-type="bibr" rid="B28">Fransner et&#xa0;al., 2022</xref>), the polar Surface water (<xref ref-type="bibr" rid="B55">Matear and Lenton, 2014</xref>) and the lower NACW in the Western Atlantic (<xref ref-type="bibr" rid="B21">Fern&#xe1;ndez-Guallart, 2015</xref>). This scenario would co-occur with critical conditions in certain eco-regions, such as the tropical oceans, where survival of coral reefs will be compromised by the availability of carbonate to form aragonite (<xref ref-type="bibr" rid="B55">Matear and Lenton, 2014</xref>). Although undersaturation of calcite in the surface ocean is expected beyond the end of the 21<sup>st</sup> century (<xref ref-type="bibr" rid="B19">Feely et&#xa0;al., 2009</xref>), levels of this mineral will be greatly reduced with respect to current concentrations. Therefore, the trends found in a choke oceanographic spot, such as the SoG, after almost two decades of observations, support the concern about the impact of the pH decline on marine ecosystems. Maintenance of ocean observing systems is then essential to establish baselines required to document and predict the vulnerability of marine ecosystems to climate change and provide tools for efficiently developing and implementing adaptation and mitigation strategies.</p>
</sec>
<sec id="s5" sec-type="data-availability">
<title>Data availability statement</title>
<p>The original contributions presented in the study are publicly available. This data can be found here: <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.20350/digitalCSIC/14556">https://doi.org/10.20350/digitalCSIC/14556</ext-link>.</p>
</sec>
<sec id="s6" sec-type="author-contributions">
<title>Author contributions</title>
<p>SA-V: Data curation, Formal analysis, Investigation, Methodology, Software, Writing &#x2013; original draft; SF: Data curation, Formal analysis, Methodology, Software, Supervision, Validation, Writing - review &amp; editing; FP: Conceptualization, Methodology, Formal analysis, Writing - review &amp; editing; GN: Methodology, Funding acquisition; JG-L: Funding acquisition, Data curation, Methodology, Writing - review &amp; editing; AM: Data curation, Resources; IEH: Conceptualization, Data curation, Funding acquisition, Investigation, Methodology, Resources, Supervision, Validation, Writing &#x2013; review &amp; editing.</p>
</sec>
</body>
<back>
<sec id="s7" sec-type="funding-information">
<title>Funding</title>
<p>This work was supported by the European projects CARBOOCEAN (FP6-511176), CARBOCHANGE (FP7-264879), PERSEUS (FP7-287600), Eurosea and COMFORT. The EuroSea (Improving and integrating the European Ocean Observing and Forecasting System) and COMFORT (Our common future ocean in the Earth system - quantifying coupled cycles of carbon, oxygen, and nutrients for determining and achieving safe operating spaces with respect to tipping points) projects have received funding from the European Union&#x2019;s Horizon 2020 research and innovation programme under grant agreements No 862626 and 820989, respectively. Funding from the Junta de Andalucia through the TECADE grant (PY20_00293) is also acknowledged. SA-V was supported by a pre-doctoral grant FPU19/04338 from the Spanish Ministry of Science, Innovation and Universities. FP was supported by the BOCATS2 (PID2019-104279GB-C21) project funded by MCIN/AEI/10.13039/501100011033. This work is a contribution to the CSIC Interdisciplinary Thematic Platform OCEANS+, funded by the European Union-Next Generation EU Agreement between MITECO, CSIC, AZTI, SOCIB, and the universities of Vigo and Cadiz, to promote research and generate scientific knowledge in the field of marine sustainability. SF acknowledges the financial support of a &#x201c;Vicen&#xe7; Munt Estabilitat&#x201d; postdoctoral contract from the Balearic Islands Government and the PTA2018&#x2013;015585-I funded by the Spanish Ministry of Science and Innovation.</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>We would like to thank the crews of all the research vessels involved in this study. We would also like to thank Mar&#xed;a Ferrer, Ang&#xe9;lica Enrique, Silvia Rayo, Antonio Moreno, and David Roque for the collection and analysis of samples. We also thank Martha B. Dunbar for English language revision. </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="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="s10" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fmars.2023.1196938/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fmars.2023.1196938/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="DataSheet_1.pdf" id="SM1" mimetype="application/pdf"/>
</sec>
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