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<article xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:oasis="http://docs.oasis-open.org/ns/oasis-exchange/table" xml:lang="en" dtd-version="3.0" article-type="research-article">
  <front>
    <journal-meta><journal-id journal-id-type="publisher">OS</journal-id><journal-title-group>
    <journal-title>Ocean Science</journal-title>
    <abbrev-journal-title abbrev-type="publisher">OS</abbrev-journal-title><abbrev-journal-title abbrev-type="nlm-ta">Ocean Sci.</abbrev-journal-title>
  </journal-title-group><issn pub-type="epub">1812-0792</issn><publisher>
    <publisher-name>Copernicus Publications</publisher-name>
    <publisher-loc>Göttingen, Germany</publisher-loc>
  </publisher></journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.5194/os-22-2711-2026</article-id><title-group><article-title>Seasonal stratification regulates carbon allocation between particulate and dissolved pathways in the Gulf of Aqaba</article-title><alt-title>Seasonal stratification regulates carbon allocation</alt-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes" rid="aff1 aff2 aff3">
          <name><surname>Rahav</surname><given-names>Eyal</given-names></name>
          <email>eyrahav@ucsc.edu</email><email>eyal.rahav@ocean.org.il</email>
        <ext-link>https://orcid.org/0000-0001-5697-6684</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2">
          <name><surname>Paytan</surname><given-names>Adina</given-names></name>
          
        <ext-link>https://orcid.org/0000-0001-8360-4712</ext-link></contrib>
        <aff id="aff1"><label>1</label><institution>Israel Oceanographic and Limnological Research, Haifa, Israel</institution>
        </aff>
        <aff id="aff2"><label>2</label><institution>Institute of Marine Science, University of California, Santa Cruz, CA, USA</institution>
        </aff>
        <aff id="aff3"><label>3</label><institution>Department of Earth and Environmental Science, Ben-Gurion University of the Negev, Beer Sheva, Israel</institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">Eyal Rahav (eyrahav@ucsc.edu, eyal.rahav@ocean.org.il)</corresp></author-notes><pub-date><day>8</day><month>September</month><year>2026</year></pub-date>
      
      <volume>22</volume>
      <issue>5</issue>
      <fpage>2711</fpage><lpage>2723</lpage>
      <history>
        <date date-type="received"><day>20</day><month>May</month><year>2026</year></date>
           <date date-type="rev-request"><day>4</day><month>June</month><year>2026</year></date>
           <date date-type="rev-recd"><day>10</day><month>August</month><year>2026</year></date>
           <date date-type="accepted"><day>28</day><month>August</month><year>2026</year></date>
      </history>
      <permissions>
        <copyright-statement>Copyright: © 2026 Eyal Rahav</copyright-statement>
        <copyright-year>2026</copyright-year>
      <license license-type="open-access"><license-p>This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link></license-p></license></permissions><self-uri xlink:href="https://os.copernicus.org/articles/22/2711/2026/os-22-2711-2026.html">This article is available from https://os.copernicus.org/articles/22/2711/2026/os-22-2711-2026.html</self-uri><self-uri xlink:href="https://os.copernicus.org/articles/22/2711/2026/os-22-2711-2026.pdf">The full text article is available as a PDF file from https://os.copernicus.org/articles/22/2711/2026/os-22-2711-2026.pdf</self-uri>
      <abstract><title>Abstract</title>

      <p id="d2e102">Water column stratification exerts fundamental control on microbial carbon cycling in oligotrophic areas of the ocean, yet its impact on the partitioning and fate of newly fixed carbon remains insufficiently resolved. Here, we investigated carbon fluxes in the Northern Red Sea (Gulf of Aqaba) from 5 cruises conducted during the stratified period. We report <sup>14</sup>C-based measurements of primary production partitioned into particulate (<inline-formula><mml:math id="M2" display="inline"><mml:mi mathvariant="italic">&gt;</mml:mi></mml:math></inline-formula> 0.7 <inline-formula><mml:math id="M3" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>m; PP<sub>POC</sub>) and dissolved (<inline-formula><mml:math id="M5" display="inline"><mml:mi mathvariant="italic">&lt;</mml:mi></mml:math></inline-formula> 0.7 <inline-formula><mml:math id="M6" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>m; PP<sub>DOC</sub>) fractions, bacterial production (BP), community and bacterial respiration (BR) across the euphotic zone. As stratification intensifies and nutrient supply from depth diminishes, depth-integrated PP<sub>POC</sub> declined from 1.26 to 0.35 g C m<sup>−2</sup> d<sup>−1</sup> while the relative contribution of dissolved carbon pathways increases. The fraction of newly fixed carbon released as dissolved organic carbon (extracellular release; PER) increased from 2.5 % to <inline-formula><mml:math id="M11" display="inline"><mml:mi mathvariant="italic">&gt;</mml:mi></mml:math></inline-formula> 7 % of total PP, indicating that a larger fraction of photosynthetically fixed carbon was released into the dissolved C pool. PP<sub>DOC</sub> (0.02–0.03 g C m<sup>−2</sup> d<sup>−1</sup>) was positively correlated with BP (0.08–0.16 g C m<sup>−2</sup> d<sup>−1</sup>), suggesting that recently released dissolved substrates contribute to sustaining heterotrophic microbial activity. Despite declining primary production, BR remained substantial (0.23–0.52 g C m<sup>−2</sup> d<sup>−1</sup>), resulting in low to moderate bacterial growth efficiency (13 %–35 %) and indicating that most processed carbon was respired rather than incorporated into biomass. These findings indicate that summer stratification enhances the relative importance of dissolved carbon release and microbial recycling of DOC, thereby reducing the efficiency of carbon transfer to depth in the Gulf of Aqaba and likely other oligotrophic systems.</p>
  </abstract>
    </article-meta>
  </front>
<body>
      

<sec id="Ch1.S1" sec-type="intro">
  <label>1</label><title>Introduction</title>
      <p id="d2e295">Much of the open ocean is characterized by chronic oligotrophy, which shapes the pathways and efficiency of carbon transformation in surface waters (Marañón et al., 2003; Polovina et al., 2008). Under such nutrient-depleted conditions, primary production (PP) tends to be low/negligible and is predominantly supported by small-celled phytoplankton that can cope persistent resource limitation (Dore et al., 2008; Pennington et al., 2006; Reich et al., 2022). Under such conditions, newly fixed carbon is largely retained and remineralized within the microbial loop, where strong coupling between phytoplankton and bacteria controls its subsequent fate (Azam and Malfatti, 2007; Zhang et al., 2025). As a result, the transfer efficiency of carbon to higher trophic levels or its export to depth is often low (Armengol et al., 2019; Alkalay et al., 2020; Roshan and DeVries, 2017; Torfstein et al., 2020).</p>
      <p id="d2e298">The onset and relaxation of stratification largely determine how nutrients are delivered to surface waters and thus govern microbial dynamics in oligotrophic environments (Dave and Lozier, 2010; Reich et al., 2026; Signorini et al., 2015). With strengthening stratification, the exchange between deep, nutrient-rich waters and the surface diminishes, causing nutrients in the euphotic zone to become progressively depleted (Chen et al., 2021; Hazan et al., 2018; Lozier et al., 2011). This imposes strong physiological constraints on phytoplankton growth and activity due to limited nutrient availability (Rahav et al., 2016; Zohary et al., 2005). Under these conditions, a considerable portion of newly produced organic carbon can be exuded by phytoplankton as dissolved organic matter (DOC) via extracellular release (Kang et al., 2022; Morana et al., 2014; Thornton, 2014). The resulting DOC provides a substrate for heterotrophic bacteria and forms an important conduit between autotrophic production and heterotrophic metabolism. This recently fixed DOC can be reused and account for a substantial proportion of total carbon fixation under nutrient-limited conditions (abovementioned references).</p>
      <p id="d2e301">The fate of DOC in the ocean is largely determined by heterotrophic bacteria, whose metabolic activity often controls whether carbon is retained within the euphotic layer or transferred as particulate organic carbon (POC) to depth (Baetge et al., 2021; LaBrie et al., 2022; Mentges et al., 2019). Bacterial carbon uptake and respiration together define the efficiency of bacterial organic carbon utilization, typically expressed as bacterial growth efficiency, BGE (del Giorgio and Cole, 1998). Oligotrophic waters commonly exhibit low BGE, indicating that much of the assimilated carbon is respired rather than incorporated into cellular biomass (Alothman et al., 2025; Anderson and Turley, 2003; del Giorgio et al., 1997). Such conditions promote fast and efficient carbon cycling within the surface ocean and further bias the system toward recycling rather than export (del Giorgio and Cole, 1998). The relative magnitudes of PP and community respiration (CR) therefore serve as a useful indicator of the system's metabolic status and offers insight into whether the system is characterized by net carbon accumulation or rapid remineralization (Izett et al., 2024; Stanley et al., 2010).</p>
      <p id="d2e304">The Gulf of Aqaba (northern Red Sea) is an oligotrophic basin whose physical and biogeochemical properties are highly affected by seasonal and interannual variability (Laiolo et al., 2014; Rahav et al., 2015; Reich et al., 2024). During winter, deep convective mixing injects nutrients into the surface layer, often leading to increased phytoplankton biomass and productivity (Lindell and Post, 1995; Avrahami et al., 2025). Differently, in summer, a strongly stratified water column results in severe nutrient depletion (Meder et al., 2012) and subsequently low phytoplankton biomass and activity (Lindell and Post, 1995; Reich et al., 2024). Despite extensive characterization of the physical and chemical seasonal cycles in the Gulf of Aqaba (Biton and Gildor, 2011), and the recognized dominance of microbial recycling in oligotrophic waters (e.g., low <inline-formula><mml:math id="M19" display="inline"><mml:mi>f</mml:mi></mml:math></inline-formula>-ratios, Alothman et al., 2025), the corresponding shifts in microbial carbon processing, particularly the partitioning of the carbon fixed during the stratified season between particulate matter, dissolved carbon released from cells, and heterotrophic utilization of this carbon, remain insufficiently resolved.</p>
      <p id="d2e315">Here, we investigate microbial carbon cycling during the summer stratified period in the Gulf of Aqaba, focusing on how progressive nutrient depletion influences the balance between carbon fixation, release, and remineralization. To this end, we combined measurements of primary production, dissolved organic carbon release, and heterotrophic bacterial activity from 5 monthly cruises, to assess how the structure and efficiency of carbon processing evolve over the course of the stratified season.</p>
</sec>
<sec id="Ch1.S2">
  <label>2</label><title>Material and methods</title>
<sec id="Ch1.S2.SS1">
  <label>2.1</label><title>Study site</title>
      <p id="d2e333">Seawater was collected across the euphotic zone (0–100 m) at 20 m depth intervals at an offshore station in the northern Gulf of Aqaba, Red Sea (29.47° N, 34.92° E). Sampling was conducted monthly from May to September 2023, spanning the transition from late spring to late summer. Measurements included a comprehensive set of microbial activity measurements, including particulate primary productivity (<inline-formula><mml:math id="M20" display="inline"><mml:mi mathvariant="italic">&gt;</mml:mi></mml:math></inline-formula> 0.7 <inline-formula><mml:math id="M21" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>m PP<sub>TOT</sub>), dissolved primary production (PP<sub>DOC</sub>, <inline-formula><mml:math id="M24" display="inline"><mml:mi mathvariant="italic">&lt;</mml:mi></mml:math></inline-formula> 0.7 <inline-formula><mml:math id="M25" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>m), bacterial production (BP), and community respiration (CR). Ancillary data comprised Conductivity, Temperature, Depth (CTD) and photosynthetically active radiation (PAR) profiles (Sea-Bird SBE 19plus), inorganic nutrients concentration, and Chlorophyll <inline-formula><mml:math id="M26" display="inline"><mml:mi>a</mml:mi></mml:math></inline-formula> measurement.</p>
</sec>
<sec id="Ch1.S2.SS2">
  <label>2.2</label><title>Particulate and dissolved primary production and extracellular release</title>
      <p id="d2e400">Autotrophic activity was assessed by measuring particulate primary productivity (PP<sub>POC</sub>) and carbon fixed present in the dissolved fraction (PP<sub>DOC</sub>), enabling a detailed partitioning of carbon flow pathways within the microbial food web. To this end, seawater was collected in triplicate 50 mL acid-washed Falcon tubes. The collected samples were spiked with NaH<sup>14</sup>CO<sub>3</sub> (Perkin Elmer, specific activity 56 mCi mmol<sup>−1</sup>) at a final radioisotope dilution of <inline-formula><mml:math id="M32" display="inline"><mml:mrow><mml:mn mathvariant="normal">1</mml:mn><mml:mo>:</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mn mathvariant="normal">4</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M33" display="inline"><mml:mrow><mml:mi>v</mml:mi><mml:mo>:</mml:mo><mml:mi>v</mml:mi></mml:mrow></mml:math></inline-formula> (1 <inline-formula><mml:math id="M34" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>Ci <inline-formula><mml:math id="M35" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> 10 mL) and incubated for 24 h under ambient temperature and light. Incubations were stopped by filtration of the <sup>14</sup>C-enriched water samples through glass fiber filters (GF/Fs) (0.7 <inline-formula><mml:math id="M37" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>m nominal pore size, PP<sub>POC</sub>) using low vacuum pressure (<inline-formula><mml:math id="M39" display="inline"><mml:mi mathvariant="italic">&lt;</mml:mi></mml:math></inline-formula> 50 mm Hg). Filtration was performed under gentle vacuum pressure to minimize cell disruption, intracellular carbon release, and cell breakthrough. Although GF/F filters have a nominal pore size of <inline-formula><mml:math id="M40" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 0.7 <inline-formula><mml:math id="M41" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>m, their depth-filtration properties allow efficient retention of small picocyanobacterial (e.g., <italic>Prochlorococcus</italic>) under low-pressure filtration conditions (Bertilsson et al., 2003). Filtrate samples (5–10 mL, PP<sub>DOC</sub>) were also collected in 15 mL Faclon tubes. Filters were rinsed with 5 mL of sterile-filtered seawater collected from the same site (<inline-formula><mml:math id="M43" display="inline"><mml:mi mathvariant="italic">&lt;</mml:mi></mml:math></inline-formula> 0.22 <inline-formula><mml:math id="M44" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>m) and the samples were subsequently acidified with 50 <inline-formula><mml:math id="M45" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>L of 37 % hydrochloric acid (HCl, lowering pH to <inline-formula><mml:math id="M46" display="inline"><mml:mi mathvariant="italic">&lt;</mml:mi></mml:math></inline-formula> 2) and left open in a fume hood overnight to allow conversion of all DIC to carbon dioxide (CO<sub>2</sub>) and complete degassing and removal of inorganic carbon as <sup>14</sup>CO<sub>2</sub>. Filters were transferred into glass vials and 5 mL of scintillation cocktail (Ultima Gold) was added. To determine PP<sub>DOC</sub>, the filtrate (10 mL) was transferred to scintillation vials, acidified with 50 <inline-formula><mml:math id="M51" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>L hydrochloric acid and 5 mL scintillation cocktail was added as above (Teira et al., 2001). Samples were counted using a TRI-CARB 4810 TR (Packard) liquid scintillation counter. Blank samples (for both PP<sub>POC</sub> and PP<sub>DOC</sub>) collected from each depth were spiked with NaH<sup>14</sup>CO<sub>3</sub> and filtered immediately without incubation. These blanks yielded negligible counts, and their reads were subtracted from their respective samples read. Added activity of the radiolabeled “working solution” was obtained in each campaign by removing 50 <inline-formula><mml:math id="M56" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>L from random samples immediately after spiking and before incubation (usually one per sampling depth), placing it on a new GF/F filter, adding 50 <inline-formula><mml:math id="M57" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>L ethanolamine and scintillation liquid, and counting immediately. The variability between the “added activity” measurements was usually negligible for the same work solution (prepared freshly before each campaign), and we therefore used the average value of all collected samples/depths on each cruise.</p>
      <p id="d2e684">PP<sub>POC</sub> and PP<sub>DOC</sub> rates were calculated based on the Bermuda Atlantic Time-series Study (BATS) protocol (<uri>https://www.bco-dmo.org/dataset/893182/description#acquisition</uri>, last access: 2 September 2026) using the equation:

            <disp-formula id="Ch1.E1" content-type="numbered"><label>1</label><mml:math id="M60" display="block"><mml:mtable rowspacing="0.2ex" class="split" displaystyle="true" columnalign="right left"><mml:mtr><mml:mtd><mml:mrow><mml:mtext>Primary productivity</mml:mtext></mml:mrow></mml:mtd><mml:mtd><mml:mrow><mml:mo>=</mml:mo><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mtext>(DPM-blank)</mml:mtext><mml:mi>V</mml:mi></mml:mfrac></mml:mstyle><mml:mo>×</mml:mo><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mi mathvariant="normal">DIC</mml:mi></mml:mrow></mml:mtd></mml:mtr><mml:mtr><mml:mtd/><mml:mtd><mml:mrow><mml:mo>×</mml:mo><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:mi mathvariant="normal">AA</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mi mathvariant="normal">vol</mml:mi></mml:mrow><mml:mi mathvariant="normal">TDPM</mml:mi></mml:mfrac></mml:mstyle><mml:mo>×</mml:mo><mml:mi>f</mml:mi><mml:mo>×</mml:mo><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mn mathvariant="normal">1</mml:mn><mml:mi>t</mml:mi></mml:mfrac></mml:mstyle></mml:mrow></mml:mtd></mml:mtr></mml:mtable></mml:math></disp-formula>

          DPM equals the disintegrations per minute, <inline-formula><mml:math id="M61" display="inline"><mml:mi>V</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M62" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> the filtered volume, DIC is the dissolved inorganic carbon in seawater calculated from total alkalinity; <inline-formula><mml:math id="M63" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 25 <inline-formula><mml:math id="M64" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>g C L<sup>−1</sup>), AA vol <inline-formula><mml:math id="M66" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> Added activity volume, TDPM <inline-formula><mml:math id="M67" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> Total <sup>14</sup>C disintegration per minute, <inline-formula><mml:math id="M69" display="inline"><mml:mi>t</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M70" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> incubation time, and <inline-formula><mml:math id="M71" display="inline"><mml:mi>f</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M72" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> factor correcting the uneven uptake of <sup>14</sup>C due to fractionation (1.05).</p>
      <p id="d2e865">The percentage of extracellular release (PER; %) was calculated as follows:

            <disp-formula id="Ch1.E2" content-type="numbered"><label>2</label><mml:math id="M74" display="block"><mml:mrow><mml:mi mathvariant="normal">PER</mml:mi><mml:mfenced open="(" close=")"><mml:mi mathvariant="italic">%</mml:mi></mml:mfenced><mml:mo>=</mml:mo><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:mi mathvariant="normal">PP</mml:mi><mml:mi mathvariant="normal">_</mml:mi><mml:mi mathvariant="normal">DOC</mml:mi></mml:mrow><mml:mrow><mml:mi mathvariant="normal">PP</mml:mi><mml:mi mathvariant="normal">_</mml:mi><mml:mi mathvariant="normal">POC</mml:mi><mml:mo>+</mml:mo><mml:mi mathvariant="normal">PP</mml:mi><mml:mi mathvariant="normal">_</mml:mi><mml:mi mathvariant="normal">DOC</mml:mi></mml:mrow></mml:mfrac></mml:mstyle><mml:mo>×</mml:mo><mml:mn mathvariant="normal">100</mml:mn></mml:mrow></mml:math></disp-formula></p>
</sec>
<sec id="Ch1.S2.SS3">
  <label>2.3</label><title>Bacterial productivity (BP)</title>
      <p id="d2e916">Triplicate seawater samples (1.7 mL) from each sampling depth were incubated in the dark under ambient temperature with 10 nmol L<sup>−1</sup> of <sup>3</sup>H-leucine (Perkin Elmer; specific activity 123 Ci mmol<sup>−1</sup>) for 4 h, at  in situ temperature, following the protocol of  Simon et al. (1990). Incubations were terminated by the addition of 100 <inline-formula><mml:math id="M78" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>L of 100 % trichloroacetic acid (TCA), and samples were subsequently processed using the microcentrifugation method (Smith and Azam, 1992). After processing, 1 mL of scintillation cocktail (Ultima Gold) was added to each vial, and radioactivity was measured using a TRI-CARB 4810 TR (Packard) liquid scintillation counter. Random “killed” controls, containing <sup>3</sup>H-leucine and TCA added prior to incubation were used to account for background activity. Leucine incorporation rates were converted to carbon production using a conversion factor of 3 kg C mol<sup>−1</sup> leucine, assuming an isotopic dilution factor of 2 (Simon and Azam, 1989).</p>
</sec>
<sec id="Ch1.S2.SS4">
  <label>2.4</label><title>Community and bacterial respiration</title>
      <p id="d2e990">Community respiration (CR) rates were estimated from dark triplicate incubations per depth under ambient temperature. Dissolved O<sub>2</sub> concentrations were measured using an optical oxygen meter (FireSting, PyroScience GmbH) equipped with fiber-optic sensors. Prior to the incubations, optical sensor spots (OXSP5, PyroScience) were affixed to the inner wall of Winkler bottles (300 mL) according to the manufacturer's instructions. Bottles were carefully filled to avoid bubble formation and sealed with ground-glass stoppers. Samples were incubated for 24 h under continuous, gentle stirring using magnetic stir bars to ensure homogeneous O<sub>2</sub> distribution without introducing air bubbles or disturbing the sensor spot. The system was calibrated prior to measurements using a two-point calibration (air-saturated seawater and zero-oxygen solution) following the manufacturer's guidelines. CR was calculated as the temporal change in O<sub>2</sub> concentration (<inline-formula><mml:math id="M84" display="inline"><mml:mrow><mml:msub><mml:mi>T</mml:mi><mml:mn mathvariant="normal">24</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> minus <inline-formula><mml:math id="M85" display="inline"><mml:mrow><mml:msub><mml:mi>T</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>) normalized to the incubation duration (Cheung et al., 2024). The detection limit was 0.5 <inline-formula><mml:math id="M86" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>mol O<sub>2</sub> L<sup>−1</sup>. CR was converted into BR using the linear regression of Aranguren-Gassis et al.  (2012):

            <disp-formula id="Ch1.E3" content-type="numbered"><label>3</label><mml:math id="M89" display="block"><mml:mrow><mml:mi mathvariant="normal">BR</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.3</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mi mathvariant="normal">CR</mml:mi><mml:mn mathvariant="normal">1.22</mml:mn></mml:msup><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.013</mml:mn></mml:mrow></mml:math></disp-formula></p>
      <p id="d2e1094">A respiratory quotient of 1 was used to convert O<sub>2</sub> consumption into carbon respiration (del Giorgio and Cole, 1998). Bacterial growth efficiency (BGE) was calculated as follows (del Giorgio and Cole, 1998):

            <disp-formula id="Ch1.E4" content-type="numbered"><label>4</label><mml:math id="M91" display="block"><mml:mrow><mml:mfenced close=")" open="("><mml:mn mathvariant="normal">4</mml:mn></mml:mfenced><mml:mi mathvariant="normal">BGE</mml:mi><mml:mfenced open="(" close=")"><mml:mi mathvariant="italic">%</mml:mi></mml:mfenced><mml:mo>=</mml:mo><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mi mathvariant="normal">BP</mml:mi><mml:mrow><mml:mi mathvariant="normal">BP</mml:mi><mml:mo>+</mml:mo><mml:mi mathvariant="normal">BR</mml:mi></mml:mrow></mml:mfrac></mml:mstyle><mml:mo>×</mml:mo><mml:mn mathvariant="normal">100</mml:mn></mml:mrow></mml:math></disp-formula></p>
</sec>
<sec id="Ch1.S2.SS5">
  <label>2.5</label><title>Inorganic nutrients</title>
      <p id="d2e1145">Samples were collected in acid-washed plastic Falcon tubes without prefiltration and kept frozen at <inline-formula><mml:math id="M92" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>20 °C until analysis within a few months. One sample per depth was collected. Nitrate <inline-formula><mml:math id="M93" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> nitrite (NO<inline-formula><mml:math id="M94" display="inline"><mml:mrow><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mo>+</mml:mo></mml:mrow></mml:math></inline-formula> NO<sub>3</sub>), orthophosphate (PO<sub>4</sub>) and silicic acid (Si(OH)<sub>4</sub>) were measured with a Seal Analytical AA-3 system (Kress and Herut, 2001). The limits of detection (twice the standard deviation of the blank) were 0.03 <inline-formula><mml:math id="M98" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>M for nitrate <inline-formula><mml:math id="M99" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> nitrite, 0.008 <inline-formula><mml:math id="M100" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>M for orthophosphate, and 0.05 <inline-formula><mml:math id="M101" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>M for silicic acid. Ammonium (NH<sub>4</sub>) concentrations were measured fluorometrically using the orthophthaldialdehyde (OPA) method (Holms et al., 1999) using a Turner Designs (Trilogy) fluorometer equipped with 365 nm excitation and 460 nm emission filters. The detection limit was 0.01 <inline-formula><mml:math id="M103" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>M. The quality of the nutrient measurements is regularly confirmed by inter-comparison exercises (e.g., QUASIMEME program).</p>
</sec>
<sec id="Ch1.S2.SS6">
  <label>2.6</label><title>Chlorophyll <inline-formula><mml:math id="M104" display="inline"><mml:mi>a</mml:mi></mml:math></inline-formula></title>
      <p id="d2e1267">Seawater (300 mL) samples were filtered through GF/F and stored at <inline-formula><mml:math id="M105" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>20 °C in a dark box. One sample per depth was collected. Samples were extracted overnight in 5 mL of 90 % acetone at 4 °C in the dark (Welschmeyer, 1994). Chlorophyll concentrations were determined using a Turner Designs (Trilogy) fluorometer with 436 nm excitation and 680 nm emission filters.</p>
</sec>
<sec id="Ch1.S2.SS7">
  <label>2.7</label><title>Statistical analyses</title>
      <p id="d2e1285">Pairwise relationships among environmental and biological variables were assessed using Pearson correlation analysis. All data points from the upper 0–100 m across the five sampling campaigns were included. Prior to analysis, data were screened for missing values, and only complete datasets were retained. Pearson correlation coefficients (<inline-formula><mml:math id="M106" display="inline"><mml:mi>r</mml:mi></mml:math></inline-formula>) and corresponding <inline-formula><mml:math id="M107" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula>-values were calculated to assess the strength and significance of pairwise relationships. Statistical significance was evaluated at two levels (<inline-formula><mml:math id="M108" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mi mathvariant="italic">&lt;</mml:mi></mml:mrow></mml:math></inline-formula> 0.05 and <inline-formula><mml:math id="M109" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mi mathvariant="italic">&lt;</mml:mi></mml:mrow></mml:math></inline-formula> 0.01). Correlation matrices were visualized using a lower-triangle format to improve readability, with color gradients representing correlation strength and overlaid values indicating correlation coefficients and their significance levels. Analyses and figure generation were performed using Python (version 3.13).</p>
</sec>
</sec>
<sec id="Ch1.S3">
  <label>3</label><title>Results</title>
      <p id="d2e1331">The surface water (0–20 m) was consistently warm throughout the study period (25–28 °C) and showed a clear seasonal increase in temperature from early to mid-summer (Fig. 1A). The mixed layer depth (MLD), estimated from a temperature threshold criterion (<inline-formula><mml:math id="M110" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>T</mml:mi></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M111" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 0.2 °C from surface values,  de Boyer Montégut et al., 2004), shoaled progressively from 45 m in early summer (May) to 15–20 m during peak stratification (July–August), before slightly deepening again in September (28 m). A pronounced vertical temperature gradient was evident throughout the sampling period, with temperatures decreasing to 23–24 °C at 100 m (Fig. 1A). Inorganic nutrient concentrations were generally low throughout the upper water column and increased with depth across the 0–100 m layer (Fig. 1B–D). Photosynthetically active radiation (PAR) ranged from 1200–1950 <inline-formula><mml:math id="M112" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>mol quanta m<sup>−2</sup> s<sup>−1</sup> at the surface and declined exponentially with depth, reaching <inline-formula><mml:math id="M115" display="inline"><mml:mi mathvariant="italic">&lt;</mml:mi></mml:math></inline-formula> 20 <inline-formula><mml:math id="M116" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>mol quanta m<sup>−2</sup> s<sup>−1</sup> at 100 m, equivalent to 0.5 %–1.8 % of surface irradiance (Table 1). Nitrate <inline-formula><mml:math id="M119" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> nitrite (NO<inline-formula><mml:math id="M120" display="inline"><mml:mrow><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mo>+</mml:mo></mml:mrow></mml:math></inline-formula> NO<sub>2</sub>) concentration ranged from below detection level (<inline-formula><mml:math id="M122" display="inline"><mml:mi mathvariant="italic">&lt;</mml:mi></mml:math></inline-formula> 0.03 <inline-formula><mml:math id="M123" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>mol L<sup>−1</sup>) to 0.14 <inline-formula><mml:math id="M125" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>mol L<sup>−1</sup> (Fig. 1B), resulting in integrated values of 4.5–11.2 <inline-formula><mml:math id="M127" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>mol m<sup>−2</sup> (Table 1). NO<inline-formula><mml:math id="M129" display="inline"><mml:mrow><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mo>+</mml:mo></mml:mrow></mml:math></inline-formula> NO<sub>2</sub> concentrations were only slightly higher below the MLD (Fig. 1B), indicating restricted nutrient supply from the nutricline to the upper euphotic zone during summertime. The sporadic elevated NO<sub><italic>x</italic></sub> concentrations (e.g., 20 m in June and 40 m in August, Fig. 1B) likely represent outlying measurements associated with the analysis of unfiltered and freezed samples (Krom et al., 2005; Reed et al., 2023). Similar sporadic NO<sub><italic>x</italic></sub> peaks were previously reported in the Gulf of Aqaba using similar methodology (Meeder et al., 2012; Rahav et al., 2026; Reich et al., 2024). Importantly, these values have a negligible effect on the depth-integrated NO<sub><italic>x</italic></sub> inventories (Table 1) and do not alter the broader seasonal patterns. Ammonium (NH<sub>4</sub>) concentrations were also low, ranging from 12 to 65 nmol L<sup>−1</sup>, and increased with depth (Fig. 1C). Depth-integrated NH<sub>4</sub> concentrations were higher during mid- to late summer (3.0–4.6 <inline-formula><mml:math id="M137" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>mol m<sup>−2</sup>) compared to early summer (1.7 <inline-formula><mml:math id="M139" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>mol m<sup>−2</sup>; Table 1). Orthophosphate (PO<sub>4</sub>) was usually low throughout the water column and across all sampling periods; 0.01–0.03 <inline-formula><mml:math id="M142" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>mol L<sup>−1</sup>, except for a single elevated surface value of 0.07 <inline-formula><mml:math id="M144" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>mol L<sup>−1</sup> observed during the September cruise (Fig. 1D). The integrated PO<sub>4</sub> was low and ranged from 2.1–4.3 <inline-formula><mml:math id="M147" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>mol m<sup>−2</sup> (Table 1). The resulting N : P ratio was below the canonical Redfield ratio of <inline-formula><mml:math id="M149" display="inline"><mml:mrow><mml:mn mathvariant="normal">16</mml:mn><mml:mo>:</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula> (Redfield, 1934) and ranged from <inline-formula><mml:math id="M150" display="inline"><mml:mrow><mml:mn mathvariant="normal">1.8</mml:mn><mml:mo>:</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula> to <inline-formula><mml:math id="M151" display="inline"><mml:mrow><mml:mn mathvariant="normal">7.5</mml:mn><mml:mo>:</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula> (Table 1), suggesting N limiting conditions for the microbial populations (Tanioka et al., 2022). Silicic acid (Si(OH)<sub>4</sub>) concentrations were relatively homogeneous throughout the water column (Fig. 1E). However, higher levels were observed in May–June (1 <inline-formula><mml:math id="M153" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>mol L<sup>−1</sup>, 75–89 <inline-formula><mml:math id="M155" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>mol m<sup>−2</sup>), followed by a decline during July-September (<inline-formula><mml:math id="M157" display="inline"><mml:mi mathvariant="italic">&lt;</mml:mi></mml:math></inline-formula> 0.6 <inline-formula><mml:math id="M158" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>mol L<sup>−1</sup>, 55 <inline-formula><mml:math id="M160" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>mol m<sup>−2</sup>) (Fig. 1E, Table 1), suggesting a transition from a diatom-influenced system in spring/early summer to an oligotrophic, small-cell-dominated community under more stratified conditions (Avrahami et al., 2025).</p>

      <fig id="F1"><label>Figure 1</label><caption><p id="d2e1857">Depth distribution of temperature <bold>(A)</bold>, NO<inline-formula><mml:math id="M162" display="inline"><mml:mrow><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mo>+</mml:mo></mml:mrow></mml:math></inline-formula>NO<sub>3</sub> <bold>(B)</bold>, NH<sub>4</sub> <bold>(C)</bold>, PO<sub>4</sub> <bold>(D)</bold> and Si(OH)<sub>4</sub> <bold>(E)</bold> in the upper water column (0–100 m) of the Gulf of Aqaba during summertime (May to September). The green star in panel A signifies the MLD (more information in Table 1).</p></caption>
        <graphic xlink:href="https://os.copernicus.org/articles/22/2711/2026/os-22-2711-2026-f01.png"/>

      </fig>

<table-wrap id="T1" specific-use="star"><label>Table 1</label><caption><p id="d2e1933">Summary of integrated values (0–100 m) measured in the Gulf of Aqaba during the summer.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="6">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="right"/>
     <oasis:colspec colnum="3" colname="col3" align="right"/>
     <oasis:colspec colnum="4" colname="col4" align="right"/>
     <oasis:colspec colnum="5" colname="col5" align="right"/>
     <oasis:colspec colnum="6" colname="col6" align="right"/>
     <oasis:thead>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2">May</oasis:entry>
         <oasis:entry colname="col3">June</oasis:entry>
         <oasis:entry colname="col4">July</oasis:entry>
         <oasis:entry colname="col5">August</oasis:entry>
         <oasis:entry colname="col6">September</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>
         <oasis:entry colname="col1">Mixed layer depth (m)</oasis:entry>
         <oasis:entry colname="col2">45</oasis:entry>
         <oasis:entry colname="col3">31</oasis:entry>
         <oasis:entry colname="col4">21</oasis:entry>
         <oasis:entry colname="col5">15</oasis:entry>
         <oasis:entry colname="col6">28</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">% of surface irradiance at 100 m</oasis:entry>
         <oasis:entry colname="col2">1.3</oasis:entry>
         <oasis:entry colname="col3">0.8</oasis:entry>
         <oasis:entry colname="col4">0.6</oasis:entry>
         <oasis:entry colname="col5">1.8</oasis:entry>
         <oasis:entry colname="col6">1.5</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">NO<inline-formula><mml:math id="M177" display="inline"><mml:mrow><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub><mml:mo>+</mml:mo></mml:mrow></mml:math></inline-formula> NO<sub>2</sub> (<inline-formula><mml:math id="M179" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>mol m<sup>−2</sup>)</oasis:entry>
         <oasis:entry colname="col2">4.5</oasis:entry>
         <oasis:entry colname="col3">11.2</oasis:entry>
         <oasis:entry colname="col4">7.5</oasis:entry>
         <oasis:entry colname="col5">7.8</oasis:entry>
         <oasis:entry colname="col6">6.0</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">NH<sub>4</sub> (<inline-formula><mml:math id="M182" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>mol m<sup>−2</sup>)</oasis:entry>
         <oasis:entry colname="col2">1.7</oasis:entry>
         <oasis:entry colname="col3">4.5</oasis:entry>
         <oasis:entry colname="col4">4.6</oasis:entry>
         <oasis:entry colname="col5">3.4</oasis:entry>
         <oasis:entry colname="col6">3.0</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">PO<sub>4</sub> (<inline-formula><mml:math id="M185" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>mol m<sup>−2</sup>)</oasis:entry>
         <oasis:entry colname="col2">3.5</oasis:entry>
         <oasis:entry colname="col3">2.1</oasis:entry>
         <oasis:entry colname="col4">2.1</oasis:entry>
         <oasis:entry colname="col5">4.1</oasis:entry>
         <oasis:entry colname="col6">4.3</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">DIN <inline-formula><mml:math id="M187" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> PO<sub>4</sub> (ratio)<sup>a</sup></oasis:entry>
         <oasis:entry colname="col2">1.8</oasis:entry>
         <oasis:entry colname="col3">7.5</oasis:entry>
         <oasis:entry colname="col4">5.8</oasis:entry>
         <oasis:entry colname="col5">2.7</oasis:entry>
         <oasis:entry colname="col6">2.1</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Si(OH)<sub>4</sub> (<inline-formula><mml:math id="M191" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>mol m<sup>−2</sup>)</oasis:entry>
         <oasis:entry colname="col2">89</oasis:entry>
         <oasis:entry colname="col3">75</oasis:entry>
         <oasis:entry colname="col4">55</oasis:entry>
         <oasis:entry colname="col5">59</oasis:entry>
         <oasis:entry colname="col6">57</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">PP<sub>POC</sub> (g C m<sup>−2</sup> d<sup>−1</sup>)</oasis:entry>
         <oasis:entry colname="col2">1.26</oasis:entry>
         <oasis:entry colname="col3">0.28</oasis:entry>
         <oasis:entry colname="col4">0.34</oasis:entry>
         <oasis:entry colname="col5">0.37</oasis:entry>
         <oasis:entry colname="col6">0.39</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">PP<sub>DOC</sub> (g C m<sup>−2</sup> d<sup>−1</sup>)</oasis:entry>
         <oasis:entry colname="col2">0.03</oasis:entry>
         <oasis:entry colname="col3">0.02</oasis:entry>
         <oasis:entry colname="col4">0.02</oasis:entry>
         <oasis:entry colname="col5">0.03</oasis:entry>
         <oasis:entry colname="col6">0.03</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">PER (%)</oasis:entry>
         <oasis:entry colname="col2">2.5</oasis:entry>
         <oasis:entry colname="col3">5.7</oasis:entry>
         <oasis:entry colname="col4">5.6</oasis:entry>
         <oasis:entry colname="col5">6.4</oasis:entry>
         <oasis:entry colname="col6">7.4</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">BP (g C m<sup>−2</sup> d<sup>−1</sup>)</oasis:entry>
         <oasis:entry colname="col2">0.08</oasis:entry>
         <oasis:entry colname="col3">0.08</oasis:entry>
         <oasis:entry colname="col4">0.16</oasis:entry>
         <oasis:entry colname="col5">0.12</oasis:entry>
         <oasis:entry colname="col6">0.10</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">CR (g C m<sup>−2</sup> d<sup>−1</sup>)</oasis:entry>
         <oasis:entry colname="col2">1.03</oasis:entry>
         <oasis:entry colname="col3">1.01</oasis:entry>
         <oasis:entry colname="col4">0.86</oasis:entry>
         <oasis:entry colname="col5">0.50</oasis:entry>
         <oasis:entry colname="col6">0.53</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">BR (g C m<sup>−2</sup> d<sup>−1</sup>)</oasis:entry>
         <oasis:entry colname="col2">0.52</oasis:entry>
         <oasis:entry colname="col3">0.51</oasis:entry>
         <oasis:entry colname="col4">0.42</oasis:entry>
         <oasis:entry colname="col5">0.23</oasis:entry>
         <oasis:entry colname="col6">0.24</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">BGE (%)</oasis:entry>
         <oasis:entry colname="col2">13.5</oasis:entry>
         <oasis:entry colname="col3">13.1</oasis:entry>
         <oasis:entry colname="col4">27.7</oasis:entry>
         <oasis:entry colname="col5">34.1</oasis:entry>
         <oasis:entry colname="col6">29.8</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">PP<sub>TOT</sub> <inline-formula><mml:math id="M206" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> CR (ratio)<sup>b</sup></oasis:entry>
         <oasis:entry colname="col2">1.26</oasis:entry>
         <oasis:entry colname="col3">0.30</oasis:entry>
         <oasis:entry colname="col4">0.42</oasis:entry>
         <oasis:entry colname="col5">0.78</oasis:entry>
         <oasis:entry colname="col6">0.78</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table><table-wrap-foot><p id="d2e1936"><sup>a</sup> DIN <inline-formula><mml:math id="M168" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> NH<inline-formula><mml:math id="M169" display="inline"><mml:mrow><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub><mml:mo>+</mml:mo></mml:mrow></mml:math></inline-formula> NO<inline-formula><mml:math id="M170" display="inline"><mml:mrow><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub><mml:mo>+</mml:mo></mml:mrow></mml:math></inline-formula> NO<sub>2</sub>. <sup>b</sup> PP<sub>TOT</sub> <inline-formula><mml:math id="M174" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> PP<inline-formula><mml:math id="M175" display="inline"><mml:mrow><mml:msub><mml:mi/><mml:mi mathvariant="normal">POC</mml:mi></mml:msub><mml:mo>+</mml:mo></mml:mrow></mml:math></inline-formula> PP<sub>DOC</sub>.</p></table-wrap-foot></table-wrap>

      <p id="d2e2726">Chlorophyll <inline-formula><mml:math id="M208" display="inline"><mml:mi>a</mml:mi></mml:math></inline-formula> exhibited a pronounced vertical structure across all sampling periods (Fig. 2A). Surface concentrations were typically low, ranging from 0.05 to 0.15 <inline-formula><mml:math id="M209" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>g L<sup>−1</sup>, and increased with depth to form a well-defined deep chlorophyll maximum (DCM). The DCM was consistently located between 60 and 100 m, coinciding with the lower euphotic zone. Chlorophyll concentrations at the DCM ranged from 0.3 to 0.7 <inline-formula><mml:math id="M211" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>g L<sup>−1</sup>, representing a several-fold increase relative to surface waters. Vertically integrated chlorophyll biomass (0–100 m) ranged from 16 to 28 mg m<sup>−2</sup> across the study period (Table 1). Integrated biomass was lowest in early summer (May–June; 16–20 mg m<sup>−2</sup>) and increased toward mid/late-summer (July–September; 25–28 mg m<sup>−2</sup>).</p>

      <fig id="F2"><label>Figure 2</label><caption><p id="d2e2815">Depth distribution of Chlorophyll <inline-formula><mml:math id="M216" display="inline"><mml:mi>a</mml:mi></mml:math></inline-formula> <bold>(A)</bold>, PP<sub>POC</sub> <bold>(B)</bold> PP<sub>DOC</sub> <bold>(C)</bold> and the percentage of extracellular release, PER <bold>(D)</bold> in the upper water column (0–100 m) of the Gulf of Aqaba during summertime (May to September).</p></caption>
        <graphic xlink:href="https://os.copernicus.org/articles/22/2711/2026/os-22-2711-2026-f02.png"/>

      </fig>

      <p id="d2e2862">Particulate primary production (PP<sub>POC</sub>) exhibited a pronounced vertical gradient across all sampling periods, with highest rates observed in surface waters and a progressive decline with depth (Fig. 2B). Surface PP<sub>POC</sub> ranged from 25 <inline-formula><mml:math id="M221" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>g C L<sup>−1</sup> d<sup>−1</sup> in early summer and decreased to 8 <inline-formula><mml:math id="M224" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>g C L<sup>−1</sup> d<sup>−1</sup> during mid- to late summer (Fig. 2B). Below 40–60 m, PP<sub>POC</sub> declined substantially in all stations and ranged from 8 <inline-formula><mml:math id="M228" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>g C L<sup>−1</sup> d<sup>−1</sup> in May to 1 <inline-formula><mml:math id="M231" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>g C L<sup>−1</sup> d<sup>−1</sup> in June-September (Fig. 2B). Depth-integrated PP<sub>POC</sub> ranged from 0.28 to 1.26 g C m<sup>−2</sup> d<sup>−1</sup> (Table 1), with the highest PP<sub>POC</sub> values observed in early summer (May), followed by a marked decline toward mid-summer (June–August), and a slight increase in September. This seasonal decrease in integrated PP<sub>POC</sub> coincided with the progressive shoaling of the mixed layer (Table 1, Fig. 1A) and reduced nutrient availability in surface waters (Fig. 1B–E), and is in agreement with previous observations in the Gulf of Aqaba (Iluz et al., 2009; Reich et al., 2024). PP<sub>DOC</sub> generally displayed its highest rates in the upper water column (Fig. 2C). In June-September, PP<sub>DOC</sub> was elevated in surface and near-surface waters, typically ranging from 0.2 to 0.5 <inline-formula><mml:math id="M241" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>g C L<sup>−1</sup> d<sup>−1</sup>, and then declined progressively with depth. Below 80 m, rates were consistently lower than 0.10 <inline-formula><mml:math id="M244" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>g C L<sup>−1</sup> d<sup>−1</sup>. In contrast, the May profile was uniform throughout the water column (0.4 <inline-formula><mml:math id="M247" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>g C L<sup>−1</sup> d<sup>−1</sup>). Despite these differences in vertical distribution, depth-integrated PP<sub>DOC</sub> varied only slightly across months, ranging from 0.02 to 0.03 g C m<sup>−2</sup> d<sup>−1</sup> (Table 1). The percentage of extracellular organic carbon release (PER) increased over the course of the summer and showed a clear depth dependence (Fig. 2D). In May, PER was generally low and relatively uniform (<inline-formula><mml:math id="M253" display="inline"><mml:mi mathvariant="italic">&lt;</mml:mi></mml:math></inline-formula> 5 %), consistent with the homogeneous distribution of PP<sub>DOC</sub> (Fig. 2C). In contrast, from June onward PER was lower in the upper water column (<inline-formula><mml:math id="M255" display="inline"><mml:mi mathvariant="italic">&lt;</mml:mi></mml:math></inline-formula> 10 %) and increased with depth, with the highest values typically observed below 40–60 m, near the base of the euphotic zone reaching as high as 20 %. Integrated PER rose from 2.5 % in May to 5.7 %–6.4 % during June-August and reached 7.4 % in September (Table 1).</p>
      <p id="d2e3247">Heterotrophic prokaryotic (bacterial) production (BP) exhibited moderate vertical and temporal variability (Fig. 3A). BP rates were generally highest in the upper water column (0–40 m), ranging from 0.8 to 2.5 <inline-formula><mml:math id="M256" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>g C L<sup>−1</sup> d<sup>−1</sup>, and declined with depth. Below 60–80 m, BP decreased substantially, with values commonly <inline-formula><mml:math id="M259" display="inline"><mml:mi mathvariant="italic">&lt;</mml:mi></mml:math></inline-formula> 1 <inline-formula><mml:math id="M260" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>g C L<sup>−1</sup> d<sup>−1</sup> near the base of the euphotic zone. Depth-integrated BP ranged from 0.08 to 0.16 g C m<sup>−2</sup> d<sup>−1</sup> across the study period, with the higher values observed during mid- to late summer (Table 1). BR was high and relatively homogeneous throughout the water column in May-June, with rates typically around 4–8 <inline-formula><mml:math id="M265" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>g C L<sup>−1</sup> d<sup>−1</sup> (Fig. 3B), summing to 0.4–0.5 g C m<sup>−2</sup> d<sup>−1</sup> over the upper 100 m (Table 1). Differently, during July–August, BR exhibited a stronger vertical variability with higher respiration rates recorded in the upper 40–60 m (4–5 <inline-formula><mml:math id="M270" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>g C L<sup>−1</sup> d<sup>−1</sup>) and lower at the bottom of the euphotic layer around 0–40 m (1–2 <inline-formula><mml:math id="M273" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>g C L<sup>−1</sup> d<sup>−1</sup>). In September, BR again showed relatively low vertical variability, with rates mostly between 1 and 4 <inline-formula><mml:math id="M276" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>g C L<sup>−1</sup> d<sup>−1</sup>, corresponding to 0.25 g C m<sup>−2</sup> d<sup>−1</sup>.</p>

      <fig id="F3"><label>Figure 3</label><caption><p id="d2e3527">Depth distribution of bacterial productivity, BP <bold>(A)</bold>, bacterial respiration, BR <bold>(B)</bold>, and bacterial gross efficiency, BGE <bold>(C)</bold> in the upper water column (0–100 m) of the Gulf of Aqaba during summertime (May to September).</p></caption>
        <graphic xlink:href="https://os.copernicus.org/articles/22/2711/2026/os-22-2711-2026-f03.png"/>

      </fig>

      <p id="d2e3546">The spatial and vertical distribution of bacterial growth efficiency (BGE, Fig. 3C) broadly mirrored that of BR (Fig. 3B) and was consistent with patterns observed for BP (Fig. 3A). In all months, relatively higher BGE values were found in the upper 0–60 m, whereas lower values were typically observed at greater depths (Fig. 3C). Temporally, BGE was lower during May-June, when values throughout the water column were typically 10 %–20 % (integrated value 13 %, Table 1), reflecting the relatively high and vertically homogeneous BR during this period (Fig. 3C). In contrast, from July onward, BGE increased in the upper water column, commonly reaching 20 %–40 % in the 0–60 m layer and 10 %–20 % below 60 m (Fig. 3C), summing 28 %–30 % over the whole euphotic layer (Table 1). In September, BGE exhibited reduced vertical variability, with values generally ranging between 15 % and 30 % across the water column (Fig. 3C).</p>
      <p id="d2e3549">Pearson correlation analysis revealed that depth and temperature were the dominant structuring variables, with depth negatively correlated with temperature (<inline-formula><mml:math id="M281" display="inline"><mml:mrow><mml:mi>r</mml:mi><mml:mo>=</mml:mo><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.83</mml:mn></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M282" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mi mathvariant="italic">&lt;</mml:mi></mml:mrow></mml:math></inline-formula> 0.01) and strongly positively correlated with Chlorophyll <inline-formula><mml:math id="M283" display="inline"><mml:mi>a</mml:mi></mml:math></inline-formula> (<inline-formula><mml:math id="M284" display="inline"><mml:mrow><mml:mi>r</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.89</mml:mn></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M285" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mi mathvariant="italic">&lt;</mml:mi></mml:mrow></mml:math></inline-formula> 0.01), reflecting the vertical separation between surface waters and the DCM (Fig. 4). Depth was also negatively correlated with both PP<sub>POC</sub> (<inline-formula><mml:math id="M287" display="inline"><mml:mrow><mml:mi>r</mml:mi><mml:mo>=</mml:mo><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.54</mml:mn></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M288" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mi mathvariant="italic">&lt;</mml:mi></mml:mrow></mml:math></inline-formula> 0.01) and PP<sub>DOC</sub> (<inline-formula><mml:math id="M290" display="inline"><mml:mrow><mml:mi>r</mml:mi><mml:mo>=</mml:mo><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.63</mml:mn></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M291" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mi mathvariant="italic">&lt;</mml:mi></mml:mrow></mml:math></inline-formula> 0.01) (Fig. 4), indicating that autotrophic activity was mainly concentrated in the upper euphotic zone (Fig. 2B, C). As expected, PP<sub>POC</sub> positively correlated with PP<sub>DOC</sub> (<inline-formula><mml:math id="M294" display="inline"><mml:mrow><mml:mi>r</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.69</mml:mn></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M295" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mi mathvariant="italic">&lt;</mml:mi></mml:mrow></mml:math></inline-formula> 0.01) (Fig. 4), demonstrating that the release of dissolved organic carbon scales with total photosynthetic activity. At the same time, PP<sub>POC</sub> showed a significant negative correlation with Chlorophyll <inline-formula><mml:math id="M297" display="inline"><mml:mi>a</mml:mi></mml:math></inline-formula> (<inline-formula><mml:math id="M298" display="inline"><mml:mrow><mml:mi>r</mml:mi><mml:mo>=</mml:mo><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.46</mml:mn></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M299" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mi mathvariant="italic">&lt;</mml:mi></mml:mrow></mml:math></inline-formula> 0.05) (Fig. 4), suggesting a decoupling between biomass accumulation and photosynthetic rates as found for Chlorophyll <inline-formula><mml:math id="M300" display="inline"><mml:mi>a</mml:mi></mml:math></inline-formula> (Fig. 2). Interestingly, PP<sub>DOC</sub> exhibited several key relationships that highlight its central role in carbon cycling in the Gulf of Aqaba during summertime. For example, PP<sub>DOC</sub> was positively correlated with PO<sub>4</sub> (<inline-formula><mml:math id="M304" display="inline"><mml:mrow><mml:mi>r</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.47</mml:mn></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M305" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mi mathvariant="italic">&lt;</mml:mi></mml:mrow></mml:math></inline-formula> 0.05), and negatively correlated with Chlorophyll <inline-formula><mml:math id="M306" display="inline"><mml:mi>a</mml:mi></mml:math></inline-formula> (<inline-formula><mml:math id="M307" display="inline"><mml:mrow><mml:mi>r</mml:mi><mml:mo>=</mml:mo><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.58</mml:mn></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M308" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mi mathvariant="italic">&lt;</mml:mi></mml:mrow></mml:math></inline-formula> 0.01) (Fig. 4). These patterns indicate that PO<sub>4</sub> may be preferentially regenerated from following the DOC released from the cells. Furthermore, PP<sub>DOC</sub> was positively correlated with BP (<inline-formula><mml:math id="M311" display="inline"><mml:mrow><mml:mi>r</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.50</mml:mn></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M312" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mi mathvariant="italic">&lt;</mml:mi></mml:mrow></mml:math></inline-formula> 0.01) (Fig. 4), supporting the role of PP<sub>DOC</sub> as an important substrate fueling heterotrophic activity in the Gulf of Aqaba. In contrast, inorganic nitrogen species (e.g., NO<inline-formula><mml:math id="M314" display="inline"><mml:mrow><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub><mml:mo>+</mml:mo></mml:mrow></mml:math></inline-formula> NO<sub>2</sub>, NH<sub>4</sub>) showed weak or non-significant relationships with PP<sub>POC</sub> or PP<sub>DOC</sub> (Fig. 4), suggesting these N species are utilized as fast as they released from cells or that they are not released as much as carbon and orthophosphate.</p>

      <fig id="F4"><label>Figure 4</label><caption><p id="d2e3943">Pearson correlation matrix of physical, chemical, and biological variables measured in the upper 0–100 m of the water column. Colores indicate the strength and direction of the correlation (Pearson's <inline-formula><mml:math id="M319" display="inline"><mml:mi>r</mml:mi></mml:math></inline-formula>), and values within each cell represent correlation coefficients. Statistical significance is indicated as <sup>*</sup> <inline-formula><mml:math id="M321" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mi mathvariant="italic">&lt;</mml:mi></mml:mrow></mml:math></inline-formula> 0.05 and <sup>**</sup> <inline-formula><mml:math id="M323" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mi mathvariant="italic">&lt;</mml:mi></mml:mrow></mml:math></inline-formula> 0.01. The analysis is based on all depth-resolved measurements across the five cruises (May to September).</p></caption>
        <graphic xlink:href="https://os.copernicus.org/articles/22/2711/2026/os-22-2711-2026-f04.png"/>

      </fig>


</sec>
<sec id="Ch1.S4">
  <label>4</label><title>Discussion</title>
<sec id="Ch1.S4.SS1">
  <label>4.1</label><title>Summer stratification shifts carbon cycling toward dissolved pathways</title>
      <p id="d2e4017">The Gulf of Aqaba exhibits strong seasonal hydrographic variability with deep winter mixing followed by stable stratification afterward (Biton and Gildor, 2011), leading to nutrient-depleted surface water throughout the summer months (Laiolo et al., 2014; Efrat Meeder et al., 2012). The shift from deeply mixed winter conditions to a strongly stratified summer water column substantially reshapes autotrophic production, heterotrophic activity, and the efficiency with which carbon is exported from the surface (Karl et al., 2021). Understanding how microbial communities adjust their carbon-use strategies under nutrient-poor conditions is therefore important for predicting the fate of newly fixed carbon in stratified and oligotrophic oceans.</p>
      <p id="d2e4020">The progressive shoaling of the mixed layer from early to late summer (Table 1), together with persistently low nutrient concentrations and reduced nutrient inventories (Fig. 1B–E), indicates increasing isolation of the euphotic zone from the nutricline, typically located at depths <inline-formula><mml:math id="M324" display="inline"><mml:mi mathvariant="italic">&gt;</mml:mi></mml:math></inline-formula> 150 m in this region (Landou et al., 2023; Meeder et al., 2012; Rahav et al., 2015). As stratification intensified, depth-integrated primary production declined from early to mid-summer, while chlorophyll biomass became increasingly concentrated within a pronounced DCM (Fig. 2A). This decoupling between biomass and productivity is consistent with a community persisting under chronic low light and low nutrient availability (Marañón et al., 2010), representing a deep photo-acclimation maximum (DAM) rather than a deep biomass maximum (DBM) as found in some other oligotrophic settings (Hodges and Rudnick, 2004; Mignot et al., 2014). Additionally, the sharp decline in heterotrophic BP with depth (Fig. 3A) likely reduces microbial loss rates, thereby allowing photo-acclimated phytoplankton at the DCM (mainly <italic>Prochlorococcus</italic>, Lindell and Post, 1995; Reich et al., 2024) to persist despite low carbon fixation rates. In other words, the high chlorophyll does not imply high biomass but rather high chlorophyll content per cell. At the same time, the vertical distributions of PP<sub>DOC</sub> and PER indicate a shift in carbon allocation within the water column (Fig. 2). PP<sub>DOC</sub> remains concentrated in the upper water column and is relatively stable over the season, while PER increases both with depth and over time, reaching its highest values during periods of strongest stratification (Fig. 2). This pattern implies that an increasing fraction of newly fixed carbon was released as DOC in the upper 100 m, especially as summer progressed and as imbalances between carbon fixation and nutrient assimilation limited biomass synthesis and “favored” the exudation of photosynthates (Mueller et al., 2016; Ofaim et al., 2021). Under such conditions, excess carbon leaks or excreted as low-molecular-weight compounds, thus elevating PER and enhancing the supply of labile dissolved organic substrates to heterotrophic prokaryotes (Engel et al., 2017, 2014, 2004). Consequently, a larger share of PP<sub>TOT</sub> was routed into the microbial loop rather than retained in particulate autotrophic biomass (i.e., PP<sub>POC</sub>), enhancing carbon recycling and reducing the efficiency of export to depth (Table 1; Carlson et al., 2010).</p>
      <p id="d2e4070">The increasing release of newly fixed carbon as dissolved organic matter thus provides a key link between autotrophic production and sustained heterotrophic activity within the euphotic zone, even as primary production declines over the summer (Table 1, Fig. 2). In oligotrophic systems such as the Gulf of Aqaba, heterotrophic microbial communities are often tightly coupled to DOC supply derived from contemporaneous primary production as well as semi-labile DOC that accumulates over seasonal timescales (Hansell et al., 2009; Santinelli, 2015). The persistence of BP in our study suggests that microbial metabolism is supported by a combination of freshly released DOC, recycled organic matter, and/or external nutrient inputs such as those added from aerosol deposition (Paytan et al., 2009; Rahav et al., 2018). Similar accumulated DOC and associated impacts on the microbial community have been observed in other stratified regions (Hansell et al., 2009; Hansell and Carlson, 2002). In contrast, a recent study in the Eastern Tropical North Atlantic reported that BP and BR closely follow PP<sub>TOT</sub>, with PP<sub>DOC</sub> supply often exceeded bacterial carbon demand (Devresse et al., 2022). There, heterotrophic activity was largely controlled by and coupled to contemporaneous production, resulting in a production-driven carbon cycle. In the Gulf of Aqaba, however, the weaker coupling between PP<sub>TOT</sub> and heterotrophic activity points to a recycling-dominated regime in which microbial communities increasingly depend on internally regenerated carbon and are not directly linked to contemporaneous production. Under sustained stratification, reduced nutrient supply constrains autotrophic growth while promoting DOC release and accumulation, thereby maintaining BR even as primary production declines (Hansell et al., 2009; Hansell, 2013). Interestingly, while absolute rates of PP<sub>DOC</sub> significantly correlate with bacterial production (<inline-formula><mml:math id="M333" display="inline"><mml:mrow><mml:mi>r</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.50</mml:mn></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M334" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mi mathvariant="italic">&lt;</mml:mi></mml:mrow></mml:math></inline-formula> 0.01; Fig. 4), the PER does not exhibit a statistically significant correlation with BGE across the water column (<inline-formula><mml:math id="M335" display="inline"><mml:mrow><mml:mi>r</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.106</mml:mn></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M336" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.59</mml:mn></mml:mrow></mml:math></inline-formula>). This decoupling is primarily driven by opposing vertical gradients, as PER increases toward the base of the euphotic zone while BGE peaks in warmer surface layers, as well as potential bacterial overflow metabolism where carbon-rich exudates are preferentially respired rather than assimilated into biomass. Nevertheless, the low BGE observed (Table 1, Fig. 3C) further support the view that most of the consumed carbon is respired rather than converted into biomass, a characteristic of strongly recycling systems in oligotrophic ocean settings (del Giorgio and Cole, 1998). Indeed, the vertical structure of BGE closely mirrors that of BR, indicating that most of the organic carbon processed by heterotrophic prokaryotes was respired rather than incorporated into new biomass. These low growth efficiencies are consistent with the energetic constraints typical of oligotrophic waters, indicating that bacterial carbon use was directed mainly toward respiration rather than growth, with much of the organic carbon rapidly returned to dissolved inorganic form (del Giorgio and Cole, 1998). These low growth efficiencies are consistent with the energetic constraints typical of highly stratified oligotrophic waters, indicating that bacterial carbon use was directed mainly toward respiration rather than growth, with much of the organic carbon rapidly returned to dissolved inorganic form (del Giorgio and Cole, 1998). While low BGE is widely observed in unproductive open-ocean settings, a recent study from the oligotrophic Taiwan Strait reported elevated BGE values (Liu et al., 2026). Such contrasts suggest that oligotrophy alone does not dictate bacterial metabolic efficiency. Instead, BGE may be regulated by the substrate stoichiometry and lability, thermal regimes, and different physical oceanographic settings. In systems exhibiting higher BGE such as the Taiwan Strait, heterotrophic bacteria may access labile dissolved organic matter or nutrient-rich substrates through micro-scale spatial patchiness (e.g., phycosphere exudates, viral lysis), rapid biological turnover, or episodic physical events like upwelling, terrestrial runoff, and Kuroshio intrusions (Liu et al., 2026). In contrast, in the hyper-oligotrophic, warm, and highly isolated summer water column of the Gulf of Aqaba, severe nutrient limitation likely promotes the exudation of carbon-rich, nutrient-poor dissolved organic matter. This forces heterotrophic bacteria to respire excess carbon via overflow metabolism to meet their nutritional demands while sustaining high basal metabolic costs, thereby maintaining low to moderate BGE.</p>
      <p id="d2e4156">We acknowledge that the nominal <inline-formula><mml:math id="M337" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 0.7 <inline-formula><mml:math id="M338" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>m pore size of GF/F filters may raise concerns regarding the potential passage of small picoplankton, particularly <italic>Prochlorococcus</italic>. However, previous studies indicate that cell breakthrough is minimal under low-vacuum filtration conditions. For example, Bertilsson et al. (2003) showed that <inline-formula><mml:math id="M339" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 95 % of cells in an axenic culture of <italic>Prochlorococcus</italic> <italic>marinus</italic> MED4 were retained on Whatman GF/F filters under low vacuum, comparable to the conditions and filters used in our study. In addition, although not specifically addressing <italic>Prochlorococcus</italic>, Chavez et al. (1995) reported equivalent recovery of total chlorophyll a using GF/F and 0.2 <inline-formula><mml:math id="M340" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>m membrane filters in oligotrophic open-ocean samples, suggesting that GF/F filtration is unlikely to result in substantial loss of phytoplankton biomass (and thus production) under similar conditions. Moreover, the observed seasonal increase in PER (Fig. 2D) was associated with changes in nutrient availability and microbial metabolism rather than simply tracking chlorophyll biomass. These observations therefore support the interpretation that the increase in extracellular release reflects a physiological response rather than an artifact of size-selective filtration. Additionally, abiotic retention or adsorption of <sup>14</sup>C-labeled dissolved organic matter onto the glass-fiber matrix may lead to biased PP<sub>POC</sub> and, consequently, of PER (López-Sandoval et al., 2018; Maske and Garcia-Mendoza, 1994). Nevertheless, the shift toward elevated PP<sub>DOC</sub> and PER as summer stratification progress, despite this potential matrix adsorption, suggest that enhanced extracellular release is a genuine physiological feature of nutrient-stressed autotrophs in the study area rather than a filtration artifact.</p>
</sec>
<sec id="Ch1.S4.SS2">
  <label>4.2</label><title>Potential drivers of microbial carbon processing in the Gulf of Aqaba during summertime</title>
      <p id="d2e4237">The observed vertical patterns in microbial carbon cycling are primarily structured by gradients in light availability/nutrient supply and stratification intensity, which all co-vary with depth (Fig. 4). Chlorophyll <inline-formula><mml:math id="M344" display="inline"><mml:mi>a</mml:mi></mml:math></inline-formula> peaks at the DCM, reflecting photo-acclimated cells at depth (DAM), while rates of PP<sub>TOT</sub>, PP<sub>DOC</sub>, and BP are highest in the upper, well-lit layers. Within this framework, a strong coupling between PP<sub>POC</sub> and PP<sub>DOC</sub> would suggest that dissolved carbon release scales directly with photosynthetic activity, consistent with extracellular release as an inherent component of primary production under oligotrophic conditions. However, the negative relationship between both PP<sub>POC</sub> and PP<sub>DOC</sub> with Chlorophyll <inline-formula><mml:math id="M351" display="inline"><mml:mi>a</mml:mi></mml:math></inline-formula> (Fig. 4) indicates that carbon fixation and release are not directly linked to standing stock of biomass, but rather to physiological activity in the upper water column (Fig. 2). Importantly, PP<sub>DOC</sub> showed a stronger association with BP than PP<sub>POC</sub> does, emphasizing the central role of dissolved organic carbon in sustaining heterotrophic metabolism. This supports the idea that the microbial loop in the Gulf of Aqaba is primarily fueled by recently produced dissolved substrates rather than by particulate pathways (abovementioned references). The absence of strong linear correlations between ambient nutrient concentrations and biological rates reflects the rapid uptake capacity of nutrient-starved microbial communities. This rapid biological drawdown maintains nutrient pools near detection limits, effectively masking statistical correlations. Together, these patterns indicate that carbon cycling in the Gulf of Aqaba is structured by two complementary processes: (i) vertical decoupling between biomass accumulation and carbon cycling activity driven by stratification, and (ii) tight coupling between dissolved carbon production and heterotrophic utilization (Fig. 4).</p>
</sec>
</sec>
<sec id="Ch1.S5" sec-type="conclusions">
  <label>5</label><title>Conclusions</title>
      <p id="d2e4337">Our observations provide a quantitative and process-based framework for understanding how stratification restructures carbon flow, showing that the Gulf of Aqaba system shifts from particulate production toward sustained dissolved carbon release that maintains heterotrophic metabolism despite declining primary production. As climate-driven warming intensifies the density barriers of low- and mid-latitude pelagic systems (Duarte et al., 2013), nutrient recycling rates are expected to become more prevalent, potentially enhancing DOC turnover, thus lowering carbon export efficiency, and strengthening the role of the microbial loop in regulating air-sea CO<sub>2</sub> exchange. Thus, increased stratification may lead to longer residence times of organic carbon in the surface ocean (through multiple regeneration and utilization cycles), tighter microbial coupling to DOC, and an expansion of BR relative to BP, with implications for nutrient regeneration, and ecosystem structure, including shifts toward smaller phytoplankton and more efficient recyclers.</p>
      <p id="d2e4349">Future work should explicitly link physical forcing, nutrient inputs, and microbial carbon partitioning across seasonal to interannual scales in the Gulf of Aqaba and other oligotrophic basins. Long-term observations and targeted experiments that manipulate stratification, nutrient supply, and temperature will be essential to predict how microbial communities adjust DOC release, BGE, and BR under progressing oligotrophication. Integrating field measurements with trait-based and ecosystem models could help quantify how shifts in microbial carbon dynamics under enhanced stratification alter the efficiency of the biological carbon pump and feedback to climate, including potential interactions with aerosol inputs and emerging stressors such as acidification and deoxygenation.</p>
</sec>

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

      <p id="d2e4356">All the data is presented in the graphs/table/text and will be made available in excel format upon request.</p>
  </notes><notes notes-type="authorcontribution"><title>Author contributions</title>

      <p id="d2e4362">Conceptualized: ER. Data curation, formal analysis, and visualization: ER, and AP. The paper was prepared and revised by ER and AP.</p>
  </notes><notes notes-type="competinginterests"><title>Competing interests</title>

      <p id="d2e4368">The contact author has declared that neither of the authors has any competing interests.</p>
  </notes><notes notes-type="disclaimer"><title>Disclaimer</title>

      <p id="d2e4374">Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this paper. The authors bear the ultimate responsibility for providing appropriate place names. Views expressed in the text are those of the authors and do not necessarily reflect the views of the publisher.</p>
  </notes><ack><title>Acknowledgements</title><p id="d2e4380">The authors thank the personnel from the Israeli National Monitoring project of Eilat and the Inter University Institute for Marine Sciences in Eilat (IUI) and to two anonymous reviewers that helped clarifying and reshaping the manuscript.</p></ack><notes notes-type="financialsupport"><title>Financial support</title>

      <p id="d2e4385">This paper was partly supported by a grant from the Middle East Regional Cooperation (MERC) (M39-011) to ER and AP and by the Israel Science Foundation (grant no. 821/22) to ER.</p>
  </notes><notes notes-type="reviewstatement"><title>Review statement</title>

      <p id="d2e4391">This paper was edited by Xinping Hu and reviewed by two anonymous referees.</p>
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