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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.2025.1535142</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>Natural estuarine cycles of nocturnal hypoxia significantly reduce growth rates of North Atlantic bivalves</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Kraemer</surname>
<given-names>Jeffrey</given-names>
</name>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/validation/"/>
<role content-type="https://credit.niso.org/contributor-roles/visualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Gobler</surname>
<given-names>Christopher J.</given-names>
</name>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/18082/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/funding-acquisition/"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
<role content-type="https://credit.niso.org/contributor-roles/project-administration/"/>
<role content-type="https://credit.niso.org/contributor-roles/resources/"/>
<role content-type="https://credit.niso.org/contributor-roles/validation/"/>
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<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
</contrib-group>
<aff id="aff1">
<institution>School of Marine and Atmospheric Sciences, Stony Brook University</institution>, <addr-line>Southampton, NY</addr-line>, <country>United States</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Elva G. Escobar-Briones, National Autonomous University of Mexico, Mexico</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Raul Llera-Herrera, National Autonomous University of Mexico, Mexico</p>
<p>Chiara Pennesi, Anton Dohrn Zoological Station Naples, Italy</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Christopher J. Gobler, <email xlink:href="mailto:christopher.gobler@stonybrook.edu">christopher.gobler@stonybrook.edu</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>14</day>
<month>05</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>12</volume>
<elocation-id>1535142</elocation-id>
<history>
<date date-type="received">
<day>26</day>
<month>11</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>14</day>
<month>04</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Kraemer and Gobler</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Kraemer and Gobler</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>Bivalves are economically and ecologically important species and the estuarine systems they inhabit can experience diel fluctuations in dissolved oxygen (DO) as a result of the shifting balance between photosynthesis and respiration. During warmer summer months, these fluctuations are often intensified, potentially exposing local bivalve populations to repeated episodes of hypoxia. For this study, <italic>in situ</italic> flow-through experiments tested the effects of naturally-occurring nocturnal hypoxia on early life stage bivalves. Juvenile bivalves (hard clams, <italic>M. mercenaria</italic>; Eastern oyster, <italic>C. virginica</italic>; and bay scallop, <italic>A. irradians</italic>) were subjected to either natural estuarine cycles of DO and pH or amended, static normoxic but still acidified conditions during the peak cycling season (summer). Growth and survival rates of bivalves were quantified. During nine experiments across three summers, nocturnal hypoxia in unamend controls was moderate, with, on average, 3 hours per night of DO below 3 mg L<sup>-1</sup>, 1 hour per night of DO below 1 mg L<sup>-1</sup>, and a mean nocturnal DO concentration of 4.7 mg L<sup>-1</sup>. Still, amelioration of this nocturnal hypoxia during experiments yielded a mean increase in bivalve growth of 20% (range: 0 - 70%). Hard clams were more resilient to bouts of nocturnal hypoxia than scallops and oysters. The percent increases in growth rates of the hypoxia-ameliorated, aerated treatments were significantly correlated with hours of hypoxia during experiments (<italic>p</italic>&lt;0.0001) and were significantly and inversely correlated with average nocturnal DO concentrations in control treatments (<italic>p</italic>&lt;0.001). Application of these relationships to DO patterns at 19 sites across NY during summer indicated nocturnal hypoxia at these locales may have repressed bivalve growth rates by 10 &#x2013; 240%. Given the enhanced predation pressure experienced by smaller bivalves, the slowed growth of unamended controls demonstrates that even small bouts of nocturnal hypoxia are a threat to estuarine bivalve populations.</p>
</abstract>
<kwd-group>
<kwd>hypoxia</kwd>
<kwd>
<italic>Mercenaria mercenaria</italic>
</kwd>
<kwd>
<italic>Crassostrea virginica</italic>
</kwd>
<kwd>
<italic>Argopecten irradians</italic>
</kwd>
<kwd>diel cycling hypoxia</kwd>
</kwd-group>
<contract-num rid="cn001">R/FBM-44</contract-num>
<contract-sponsor id="cn001">New York Sea Grant, State University of New York<named-content content-type="fundref-id">10.13039/100005775</named-content>
</contract-sponsor>
<counts>
<fig-count count="5"/>
<table-count count="1"/>
<equation-count count="0"/>
<ref-count count="86"/>
<page-count count="14"/>
<word-count count="7210"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Marine Ecosystem Ecology</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>Bivalves are an economically and ecologically important group of organisms. They are ecosystem engineers that create habitat structure, modify phytoplankton communities, and can increase species richness (<xref ref-type="bibr" rid="B6">Borthagaray and Carranza, 2007</xref>; <xref ref-type="bibr" rid="B24">Guti&#xe9;rrez et&#xa0;al., 2003</xref>; <xref ref-type="bibr" rid="B44">Peterson and Black, 1987</xref>), while their shellfisheries are worth $2B to the US economy (<xref ref-type="bibr" rid="B41">NOAA, 2019</xref>). Reductions in bivalve populations can have wide ranging effects through in ecosystem functionality (<xref ref-type="bibr" rid="B24">Guti&#xe9;rrez et&#xa0;al., 2003</xref>; <xref ref-type="bibr" rid="B82">Wijsman et&#xa0;al., 2019</xref>). Bivalves can be negatively impacted by multiple anthropogenic stressors such as hypoxia, acidification, or harmful algal blooms (<xref ref-type="bibr" rid="B8">Breitburg et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B15">Diaz and Rosenberg, 2008</xref>; <xref ref-type="bibr" rid="B65">Tomasetti and Gobler, 2020</xref>; <xref ref-type="bibr" rid="B52">Shumway, 1990</xref>).</p>
<p>Eutrophication is the progressive overload of organic matter to a coastal ecosystem, often driven by excessive nutrient loading that increases organic matter production by algae (<xref ref-type="bibr" rid="B39">Nixon, 1995</xref>). Microbial respiration of excessive organic matter can lead to the formation of low oxygen, hypoxic zones (<xref ref-type="bibr" rid="B15">Diaz and Rosenberg, 2008</xref>; <xref ref-type="bibr" rid="B8">Breitburg et&#xa0;al., 2018</xref>). Additionally, many of the primary producers that respond to increased nutrient and organic matter loading may be mixotrophic and, therefore, may display strong respiration and exacerbate nocturnal hypoxia (<xref ref-type="bibr" rid="B9">Burkholder, 1998</xref>; <xref ref-type="bibr" rid="B10">Burkholder et&#xa0;al., 2008</xref>; <xref ref-type="bibr" rid="B25">Heisler et&#xa0;al., 2008</xref>). Hypoxia affects coastal systems around the world and has intensified with time (<xref ref-type="bibr" rid="B15">Diaz and Rosenberg, 2008</xref>; <xref ref-type="bibr" rid="B53">Steckbauer et&#xa0;al., 2011</xref>). The severity and length of hypoxic conditions can vary tidally, on day-night cycles, and seasonally and is driven by multiple biological, physical, and chemical conditions (<xref ref-type="bibr" rid="B4">Baumann et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B69">Tyler et&#xa0;al., 2009</xref>; <xref ref-type="bibr" rid="B76">Wallace and Gobler, 2021</xref>).</p>
<p>Dissolved oxygen (DO) can display extreme diel cycles in eutrophic coastal waters with hyperoxic conditions found during the day and hypoxia occurring at night (<xref ref-type="bibr" rid="B3">Baumann and Smith, 2018</xref>; <xref ref-type="bibr" rid="B19">Gobler and Baumann, 2016</xref>; <xref ref-type="bibr" rid="B69">Tyler et&#xa0;al., 2009</xref>; <xref ref-type="bibr" rid="B77">Wallace et&#xa0;al., 2021</xref>). Diel cycling of DO is generally most severe during mid/late summer when temperatures and photosynthetically active radiation are maximal (<xref ref-type="bibr" rid="B7">Breitburg, 1990</xref>; <xref ref-type="bibr" rid="B11">Caffrey, 2004</xref>; <xref ref-type="bibr" rid="B75">Wallace et&#xa0;al., 2014</xref>, <xref ref-type="bibr" rid="B77">2021</xref>). Physical processes such as tidally flushing may moderate or intensify conditions in estuaries; more intensive tidal flushing can raise the DO via increased mixing of non-hypoxic, ocean end-member water, while reduced tidal flow may maximize the influence of localized respiration rates on DO levels (<xref ref-type="bibr" rid="B4">Baumann et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B69">Tyler et&#xa0;al., 2009</xref>).</p>
<p>As concentrations of DO decline, organisms may transition to anaerobic respiration and experience impaired physiological performance (<xref ref-type="bibr" rid="B35">Miller et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B46">P&#xf6;rtner, 2012</xref>; <xref ref-type="bibr" rid="B56">Stevens and Gobler, 2018</xref>). Hypoxic conditions generally occur as a vertical gradient with more severe conditions in bottom waters, although in shallow systems, hypoxic conditions can appear throughout the water column (<xref ref-type="bibr" rid="B5">Beck and Bruland, 2000</xref>; <xref ref-type="bibr" rid="B69">Tyler et&#xa0;al., 2009</xref>; <xref ref-type="bibr" rid="B77">Wallace et&#xa0;al., 2021</xref>). As sessile or semi-sessile benthic organisms, bivalves are often more vulnerable to hypoxia than mobile animals (<xref ref-type="bibr" rid="B15">Diaz and Rosenberg, 2008</xref>; <xref ref-type="bibr" rid="B71">Vaquer-Sunyer and Duarte, 2008</xref>; <xref ref-type="bibr" rid="B78">Wang and Widdows, 1993</xref>).</p>
<p>While previous research has provided important information on the impacts of static hypoxic on shellfish (<xref ref-type="bibr" rid="B54">Steckbauer et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B68">Tomasetti et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B71">Vaquer-Sunyer and Duarte, 2008</xref>; <xref ref-type="bibr" rid="B78">Wang and Widdows, 1993</xref>), such experiments are not necessarily representative of dynamic estuarine ecosystems. Recent studies have explored diel cycling of hypoxia and have shown that brief periods of low DO can reduce the growth and/or survival of several species of early life stage shellfish (<xref ref-type="bibr" rid="B12">Clark and Gobler, 2016</xref>; <xref ref-type="bibr" rid="B30">Keppel et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B35">Miller et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B67">Tomasetti et&#xa0;al., 2021</xref>). Few studies, however, have considered how naturally occurring diel cycles of hypoxia in estuaries may impact juvenile bivalves.</p>
<p>The objective of this study was to determine how juvenile bivalves are affected by natural, diel cycling of hypoxia in an estuarine setting. Nine experiments were performed over three years with three species of North Atlantic bivalves: <italic>Argopecten irradians</italic> (bay scallops), <italic>Crassostrea virginica</italic> (Eastern oysters), and <italic>Mercenaria mercenaria</italic> (hard clams). Juvenile bivalves were grown in estuarine waters experiencing nocturnal hypoxia or in the same source water with hypoxia experimentally ameliorated. Differences in growth and survival rates were assessed and trends were considered in light of the intensity and duration of nocturnal hypoxia. We hypothesized nocturnal hypoxia would reduce the growth and survival of each bivalve species.</p>
</sec>
<sec id="s2">
<title>Methods</title>
<sec id="s2_1">
<title>Organism care and maintenance</title>
<p>The effects of diel cycling dissolved oxygen were examined through laboratory flow-through experiments exposing juvenile bivalves to naturally occurring diel cycles of DO and pH and ameliorated oxygen conditions. Experimental organisms used were three important species from North America, namely bay scallops (<italic>Argopecten irradians</italic>), Eastern oysters (<italic>Crassostrea virginica</italic>), and hard clams (<italic>Mercenaria mercenaria</italic>). All experiments were run between July 2021 and September 2023 with a new cohort each year. Juvenile scallops were obtained from the Cornell Cooperative Hatchery in Southold, NY, USA, oysters from the East Hampton Shellfish Hatchery in East Hampton, NY, USA, and clams were spawned and raised in the Marine Sciences Center at the Stony Brook Southampton campus. All juveniles were reared in flow-through systems at their respective hatcheries until being moved to the Marine Sciences Center where they were kept on a low flow-through system filtered through a 100 &#xb5;m sock. Bivalves fed on naturally occurring algae from Old Fort Pond, Shinnecock Bay, NY, USA when on flow-through and were fed cultured live algae (<italic>Tetraselmis</italic> spp.<italic>, P. lutheri, C. muelleri</italic>) when flow-through was turned off due to HABs.</p>
<p>For each experiment, 20 individuals per replicate were tagged for individual survival and growth measurements with queen bee tags (Opalith), which were fixed to the shell using gel superglue (Gorilla Glue). Oysters were measured using digital pictures taken with a Cannon Rebel T6i and analyzed using imageJ software, and scallops and clams were measured using calipers (Sylvac). Survival and growth were quantified weekly. The two clam experiments used juveniles with lengths of 9.3 &#xb1; 1.0 mm and 9.6 &#xb1; 0.9 mm (n=120), respectively. The three oyster experiments used juveniles with shell heights of 15.5 &#xb1; 1.6 mm, 13.6 &#xb1; 1.4 mm, and 12.1 &#xb1; 1.4 mm (n=120), respectively. The four scallop experiments used juveniles with heights of 10.3 &#xb1; 1.7 mm, 13.0 &#xb1; 0.8 mm, 13.3 &#xb1; 0.6 mm, and 12.3 &#xb1; 0.8 mm (n=120), respectively. Average daily growth rates for each individual and then each replicate were determined, and the percent change in growth was determined by subtracting the average aeration treatment growth rate by the average control growth and dividing by the control growth (<xref ref-type="bibr" rid="B67">Tomasetti et&#xa0;al., 2021</xref>).</p>
</sec>
<sec id="s2_2">
<title>Experimental design</title>
<p>In these experiments, bivalves were subjected to natural cycling conditions and DO amended flow-through water for two to three weeks in late summer/early fall. Each of the two treatments supplied three 18L HDPE replicates (Leakmaster buckets) with seawater at 4500 Lh<sup>-1</sup> using magnetic drive pumps (Danner, pondmaster 12b utility), which flushed each replicate about every 45 seconds. In order to ensure unaltered natural cycling, water was pumped from Old Fort Pond in Shinnecock Bay into the Marine Sciences Center in airtight lines and then pumped directly into unamended control replicates. The aeration treatment used the same water from Old Fort Pond but bubbled the water in a maze prior to entering the experimental replicate. In the maze, water was sprayed into a 6-inch drainage pvc pipe, containing bonded silica and wooden aerators, creating unidirectional flow into a sea table. This sea table was sectioned off by cinderblocks to restrict flow allowing all water to pass another wooden aerator and increase residence time around additional silica bonded air stones (Pentair). After the water made its way to the final section of the maze it was further aerated by silica bonded air stones and pumped into the aerated treatment replicates. This removed the extreme DO cycling in the aeration treatment, but pH remained similar to values in the control water from Old Fort Pond, which was likely due to short residence time within the maze. Input water was plumbed to the lower half of the replicate and wastewater flowed out the top of the replicate so that the bivalves continuously received new water. Organisms and replicates were cleaned every three to four days to reduce the amount of sedimentation in the replicates. Bivalves fed on natural algae from the flow-through water during the course of the experiment.</p>
</sec>
<sec id="s2_3">
<title>Chemistry</title>
<p>The chemistry for the control treatment was the result of natural processes in the source water of Old Fort Pond, Shinnecock Bay, NY, USA, which was slightly different from the source water due to further respiration processes as water was pumped through the Marine Sciences Center. In the aeration treatment, flow-through water was aerated to remove DO cycling but not pH. In one of the replicates from each treatment a YSI EXO 3 sonde continuously measured parameters every 5 seconds. Parameters recorded were dissolved oxygen (mg L<sup>-1</sup>), pH (NBS), temperature (&#xb0;C), salinity (psu) and chlorophyll a (RFU). In&#xa0;parallel, samples were collected and processed for extracted chlorophyll <italic>a</italic> following the methods of <xref ref-type="bibr" rid="B80">Welschmeyer (1994)</xref> and the chlorophyll <italic>a</italic> data from the sonde was converted to &#xb5;g L<sup>-1</sup> using a linear regression of the measurements (r<sup>2</sup> = 0.94). For several of the experiments one of the sondes malfunctioned resulting in short periods of no chemistry data for that treatment between some water changes. The range of conditions for all experiments were 0.06 &#x2013; 14.02 mg L<sup>-1</sup> for DO, 6.67 &#x2013; 8.49 for pH, 13.32 &#x2013; 30.50&#xb0;C for temperature, 4.34 &#x2013; 55.5 &#xb5;g L<sup>-1</sup> for chlorophyll <italic>a</italic> and 22.4 &#x2013; 32.14 for salinity; the conditions present during for each experiment are presented in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>. The continuous and experimental mean chlorophyll <italic>a</italic> values appear in <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figures&#xa0;1</bold>
</xref>, <xref ref-type="supplementary-material" rid="SM1">
<bold>2</bold>
</xref>. Average daily duration of hypoxia was determined by the length of time any of the treatments had DO values below 3 mg L<sup>-1</sup> each day and averaged over the length of the experiment. The hypoxic threshold is not well established for many marine taxa nor coastal ecosystems as a whole, therefore 3 mg L<sup>-1</sup> was used for this study in line with New York State DEC regulations (<xref ref-type="bibr" rid="B53">Steckbauer et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B71">Vaquer-Sunyer and Duarte, 2008</xref>; <xref ref-type="bibr" rid="B77">Wallace et&#xa0;al., 2021</xref>). Average nocturnal DO concentration was determined by taking the average DO during the night phase throughout the experiment. The night phase was considered to be half an hour before sunrise and half an hour after sunset on the central date of the experiment.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Water chemistry parameters for each experiment.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="center">Experiment</th>
<th valign="top" colspan="2" align="center">Clam 1</th>
<th valign="top" colspan="2" align="center">Clam 2</th>
<th valign="top" colspan="2" align="center">Oyster1</th>
<th valign="top" colspan="2" align="center">Oyster 2</th>
<th valign="top" colspan="2" align="center">Oyster 3</th>
<th valign="top" colspan="2" align="center">Scallop 1</th>
<th valign="top" colspan="2" align="center">Scallop 2</th>
<th valign="top" colspan="2" align="center">Scallop 3</th>
<th valign="top" colspan="2" align="center">Scallop4</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="center">Species</td>
<td valign="top" colspan="2" align="center">
<italic>M. mercenaria</italic>
</td>
<td valign="top" colspan="2" align="center">
<italic>M. mercenaria</italic>
</td>
<td valign="top" colspan="2" align="center">
<italic>C. virginica</italic>
</td>
<td valign="top" colspan="2" align="center">
<italic>C. virginica</italic>
</td>
<td valign="top" colspan="2" align="center">
<italic>C. virginica</italic>
</td>
<td valign="top" colspan="2" align="center">
<italic>A. irradians</italic>
</td>
<td valign="top" colspan="2" align="center">
<italic>A. irradians</italic>
</td>
<td valign="top" colspan="2" align="center">
<italic>A. irradians</italic>
</td>
<td valign="top" colspan="2" align="center">
<italic>A. irradians</italic>
</td>
</tr>
<tr>
<td valign="top" align="center">Duration</td>
<td valign="top" colspan="2" align="center">3 weeks</td>
<td valign="top" colspan="2" align="center">3 weeks</td>
<td valign="top" colspan="2" align="center">2 weeks</td>
<td valign="top" colspan="2" align="center">2 weeks</td>
<td valign="top" colspan="2" align="center">3 weeks</td>
<td valign="top" colspan="2" align="center">3 weeks</td>
<td valign="top" colspan="2" align="center">2 weeks</td>
<td valign="top" colspan="2" align="center">2 weeks</td>
<td valign="top" colspan="2" align="center">3 weeks</td>
</tr>
<tr>
<td valign="top" align="center">Date</td>
<td valign="top" colspan="2" align="center">7/7 - 7/27/23</td>
<td valign="top" colspan="2" align="center">8/3 - 3/24/23</td>
<td valign="top" colspan="2" align="center">7/28 - 8/11/22</td>
<td valign="top" colspan="2" align="center">8/12 - 8/26/22</td>
<td valign="top" colspan="2" align="center">9/1- 9/21/23</td>
<td valign="top" colspan="2" align="center">9/14 - 10/1/21</td>
<td valign="top" colspan="2" align="center">8/25 - 9/8/22</td>
<td valign="top" colspan="2" align="center">9/22 - 10/5/22</td>
<td valign="top" colspan="2" align="center">8/3 - 8/24/23</td>
</tr>
<tr>
<td valign="top" align="center">Starting Size (mm)</td>
<td valign="top" colspan="2" align="center">9.3&#xb1;1.0</td>
<td valign="top" colspan="2" align="center">9.6&#xb1;0.9</td>
<td valign="top" colspan="2" align="center">15.5&#xb1;1.6</td>
<td valign="top" colspan="2" align="center">13.6&#xb1;1.4</td>
<td valign="top" colspan="2" align="center">12.1&#xb1;1.4</td>
<td valign="top" colspan="2" align="center">10.3&#xb1;1.7</td>
<td valign="top" colspan="2" align="center">13.0&#xb1;0.8</td>
<td valign="top" colspan="2" align="center">13.3&#xb1;0.6</td>
<td valign="top" colspan="2" align="center">12.3&#xb1;0.8</td>
</tr>
<tr>
<td valign="top" align="center">Temperature (C)</td>
<td valign="top" colspan="2" align="center">26.80&#xb1;0.98</td>
<td valign="top" colspan="2" align="center">24.69&#xb1;1.18</td>
<td valign="top" colspan="2" align="center">27.60&#xb1;1.14</td>
<td valign="top" colspan="2" align="center">25.66&#xb1;1.39</td>
<td valign="top" colspan="2" align="center">24.19&#xb1;2.69</td>
<td valign="top" colspan="2" align="center">23.54&#xb1;0.82</td>
<td valign="top" colspan="2" align="center">26.29&#xb1;1.70</td>
<td valign="top" colspan="2" align="center">17.21&#xb1;2.33</td>
<td valign="top" colspan="2" align="center">24.69&#xb1;1.18</td>
</tr>
<tr>
<td valign="top" align="center">Salinity</td>
<td valign="top" colspan="2" align="center">27.84&#xb1;1.35</td>
<td valign="top" colspan="2" align="center">28.02&#xb1;0.17</td>
<td valign="top" colspan="2" align="center">29.00&#xb1;0.98</td>
<td valign="top" colspan="2" align="center">30.56&#xb1;0.57</td>
<td valign="top" colspan="2" align="center">28.66&#xb1;1.12</td>
<td valign="top" colspan="2" align="center">29.63&#xb1;0.83</td>
<td valign="top" colspan="2" align="center">30.16&#xb1;0.50</td>
<td valign="top" colspan="2" align="center">30.83&#xb1;0.52</td>
<td valign="top" colspan="2" align="center">28.02&#xb1;0.17</td>
</tr>
<tr>
<td valign="top" align="center">Chlorophyll a (&#xb5;gL<sup>-1</sup>)</td>
<td valign="top" colspan="2" align="center">40.41&#xb1;32.09</td>
<td valign="top" colspan="2" align="center">22.87&#xb1;15.22</td>
<td valign="top" colspan="2" align="center">29.20&#xb1;17.63</td>
<td valign="top" colspan="2" align="center">34.94&#xb1;21.76</td>
<td valign="top" colspan="2" align="center">31.06&#xb1;39.14</td>
<td valign="top" colspan="2" align="center">55.52&#xb1;71.97</td>
<td valign="top" colspan="2" align="center">26.06&#xb1;20.41</td>
<td valign="top" colspan="2" align="center">4.34&#xb1;6.84</td>
<td valign="top" colspan="2" align="center">22.87&#xb1;15.22</td>
</tr>
<tr>
<td valign="top" align="center">Diurnal pH</td>
<td valign="top" colspan="2" align="center">7.83&#xb1;0.22</td>
<td valign="top" colspan="2" align="center">7.72&#xb1;0.15</td>
<td valign="top" colspan="2" align="center">7.68&#xb1;0.17</td>
<td valign="top" colspan="2" align="center">7.82&#xb1;0.13</td>
<td valign="top" colspan="2" align="center">7.81&#xb1;0.16</td>
<td valign="top" colspan="2" align="center">7.78&#xb1;0.24</td>
<td valign="top" colspan="2" align="center">7.76&#xb1;0.12</td>
<td valign="top" colspan="2" align="center">7.68&#xb1;0.11</td>
<td valign="top" colspan="2" align="center">7.72&#xb1;0.15</td>
</tr>
<tr>
<td valign="top" align="center">Nocturnal pH</td>
<td valign="top" colspan="2" align="center">7.69&#xb1;0.21</td>
<td valign="top" colspan="2" align="center">7.55&#xb1;0.15</td>
<td valign="top" colspan="2" align="center">7.47&#xb1;0.14</td>
<td valign="top" colspan="2" align="center">7.68&#xb1;0.12</td>
<td valign="top" colspan="2" align="center">7.64&#xb1;0.16</td>
<td valign="top" colspan="2" align="center">7.67&#xb1;0.27</td>
<td valign="top" colspan="2" align="center">7.67&#xb1;0.27</td>
<td valign="top" colspan="2" align="center">7.59&#xb1;0.11</td>
<td valign="top" colspan="2" align="center">7.55&#xb1;0.15</td>
</tr>
<tr>
<td valign="top" align="center">Treatment</td>
<td valign="top" align="center">Aeration</td>
<td valign="top" align="center">Control</td>
<td valign="top" align="center">Aeration</td>
<td valign="top" align="center">Control</td>
<td valign="top" align="center">Aeration</td>
<td valign="top" align="center">Control</td>
<td valign="top" align="center">Aeration</td>
<td valign="top" align="center">Control</td>
<td valign="top" align="center">Aeration</td>
<td valign="top" align="center">Control</td>
<td valign="top" align="center">Aeration</td>
<td valign="top" align="center">Control</td>
<td valign="top" align="center">Aeration</td>
<td valign="top" align="center">Control</td>
<td valign="top" align="center">Aeration</td>
<td valign="top" align="center">Control</td>
<td valign="top" align="center">Aeration</td>
<td valign="top" align="center">Control</td>
</tr>
<tr>
<td valign="top" align="center">Diurnal DO (mg L<sup>-1</sup>)</td>
<td valign="top" align="center">6.56&#xb1;0.28</td>
<td valign="top" align="center">5.58&#xb1;2.18</td>
<td valign="top" align="center">6.63&#xb1;0.31</td>
<td valign="top" align="center">5.20&#xb1;1.76</td>
<td valign="top" align="center">5.74&#xb1;0.74</td>
<td valign="top" align="center">4.96&#xb1;2.05</td>
<td valign="top" align="center">6.80&#xb1;0.35</td>
<td valign="top" align="center">6.65&#xb1;1.64</td>
<td valign="top" align="center">6.80&#xb1;0.54</td>
<td valign="top" align="center">6.32&#xb1;1.51</td>
<td valign="top" align="center">6.48&#xb1;1.44</td>
<td valign="top" align="center">4.82&#xb1;2.76</td>
<td valign="top" align="center">6.58&#xb1;0.31</td>
<td valign="top" align="center">5.62&#xb1;1.76</td>
<td valign="top" align="center">7.87&#xb1;0.33</td>
<td valign="top" align="center">6.44&#xb1;1.00</td>
<td valign="top" align="center">6.63&#xb1;0.31</td>
<td valign="top" align="center">5.20&#xb1;1.76</td>
</tr>
<tr>
<td valign="top" align="center">Nocturnal DO (mg L<sup>-1</sup>)</td>
<td valign="top" align="center">6.34&#xb1;0.24</td>
<td valign="top" align="center">4.13&#xb1;1.50</td>
<td valign="top" align="center">6.44&#xb1;0.33</td>
<td valign="top" align="center">3.46&#xb1;1.24</td>
<td valign="top" align="center">5.16&#xb1;0.72</td>
<td valign="top" align="center">2.38&#xb1;1.22</td>
<td valign="top" align="center">6.54&#xb1;0.27</td>
<td valign="top" align="center">4.51&#xb1;1.20</td>
<td valign="top" align="center">6.57&#xb1;0.67</td>
<td valign="top" align="center">4.53&#xb1;1.31</td>
<td valign="top" align="center">6.23&#xb1;0.76</td>
<td valign="top" align="center">3.78&#xb1;2.28</td>
<td valign="top" align="center">6.46&#xb1;0.30</td>
<td valign="top" align="center">3.41&#xb1;1.07</td>
<td valign="top" align="center">7.76&#xb1;0.36</td>
<td valign="top" align="center">5.43&#xb1;1.04</td>
<td valign="top" align="center">6.44&#xb1;0.33</td>
<td valign="top" align="center">3.46&#xb1;1.24</td>
</tr>
<tr>
<td valign="top" align="center">Hours&lt; 3mg L<sup>-1</sup>
</td>
<td valign="top" align="center">0.00</td>
<td valign="top" align="center">3.46&#xb1;4.36</td>
<td valign="top" align="center">0.00</td>
<td valign="top" align="center">4.24&#xb1;3.31</td>
<td valign="top" align="center">0.00</td>
<td valign="top" align="center">8.83&#xb1;4.87</td>
<td valign="top" align="center">0.00</td>
<td valign="top" align="center">0.25&#xb1;0.53</td>
<td valign="top" align="center">0.00</td>
<td valign="top" align="center">1.25&#xb1;2.12</td>
<td valign="top" align="center">0.41&#xb1;1.36</td>
<td valign="top" align="center">3.60&#xb1;6.34</td>
<td valign="top" align="center">0.00</td>
<td valign="top" align="center">4.86&#xb1;3.16</td>
<td valign="top" align="center">0.00</td>
<td valign="top" align="center">0.00</td>
<td valign="top" align="center">0.00</td>
<td valign="top" align="center">4.24&#xb1;3.31</td>
</tr>
<tr>
<td valign="top" align="center">Hours&lt; 2 mg L<sup>-1</sup>
</td>
<td valign="top" align="center">0.00</td>
<td valign="top" align="center">1.43&#xb1;2.43</td>
<td valign="top" align="center">0.00</td>
<td valign="top" align="center">0.98&#xb1;1.63</td>
<td valign="top" align="center">0.00</td>
<td valign="top" align="center">5.39&#xb1;4.58</td>
<td valign="top" align="center">0.00</td>
<td valign="top" align="center">0.00</td>
<td valign="top" align="center">0.00</td>
<td valign="top" align="center">0.15&#xb1;0.46</td>
<td valign="top" align="center">0.32&#xb1;1.22</td>
<td valign="top" align="center">2.78&#xb1;5.65</td>
<td valign="top" align="center">0.00</td>
<td valign="top" align="center">0.76&#xb1;1.38</td>
<td valign="top" align="center">0.00</td>
<td valign="top" align="center">0.00</td>
<td valign="top" align="center">0.00</td>
<td valign="top" align="center">0.98&#xb1;1.63</td>
</tr>
<tr>
<td valign="top" align="center">Hours&lt; 1mg L<sup>-1</sup>
</td>
<td valign="top" align="center">0.00</td>
<td valign="top" align="center">0.31&#xb1;0.79</td>
<td valign="top" align="center">0.00</td>
<td valign="top" align="center">0.17&#xb1;0.46</td>
<td valign="top" align="center">0.00</td>
<td valign="top" align="center">0.96&#xb1;1.64</td>
<td valign="top" align="center">0.00</td>
<td valign="top" align="center">0.00</td>
<td valign="top" align="center">0.00</td>
<td valign="top" align="center">0.00</td>
<td valign="top" align="center">0.22&#xb1;0.94</td>
<td valign="top" align="center">1.68&#xb1;4.30</td>
<td valign="top" align="center">0.00</td>
<td valign="top" align="center">0.00</td>
<td valign="top" align="center">0.00</td>
<td valign="top" align="center">0.00</td>
<td valign="top" align="center">0.00</td>
<td valign="top" align="center">0.17&#xb1;0.46</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Results are presented as mean &#xb1; standard deviation which represents total experimental population variability for starting size and variation over time for chemistry. Hypoxia did not occur in the Aerated treatment except for the first scallop experiment and no hypoxia occurred in either treatment for the third scallop experiment.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s2_4">
<title>Analysis, statistics, and ecosystem comparison</title>
<p>All results are presented as mean &#xb1; standard deviation. Chemistry values were rounded to two decimal places with error representing day-to-day temporal variation across replicates. Length and growth measurements were rounded to two significant digits with error representing replicate vessels. Growth rates were compared between the two treatments using a t-test run with R-studio (r version 2023.12.1 + 402) to test for significance. All growth and survival data were tested for normality and homoscedasticity using Shapiro and Bartletts tests; if data failed these tests, it was either arcsin squareroot (survival data) or log transformed. In addition to this, the percent increase in growth rates of bivalves exposed to aeration compared to the control treatment was compared to the average daily duration of hypoxia, the average nocturnal DO value, and the chlorophyll <italic>a</italic> concentrations present during the experiments. These data were analyzed via a linear regression model in R-studio. Regressions were performed with and without clam data to determine the impact of that bivalve on the correlations due to their hardiness relative to the other bivalves.</p>
<p>Finally, to obtain a broader understanding of the implications of the experimental results to ecosystem settings, DO levels were monitored every 10 minutes for the final two weeks of July, 2024, at 18 sites across NY (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;3</bold>
</xref>; <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;1</bold>
</xref>). This represents the time of year when recently spawned bivalves of the species studied here are within the range of sizes used during experiments (<xref ref-type="bibr" rid="B29">Kennedy et&#xa0;al., 1996</xref>; <xref ref-type="bibr" rid="B31">Kraeuter and Castagna, 2001</xref>) and the time of year when nocturnal hypoxia is often maximal in NY (<xref ref-type="bibr" rid="B75">Wallace et&#xa0;al., 2014</xref>, <xref ref-type="bibr" rid="B77">2021</xref>). DO levels were measured YSI EXO3 multi-parameter sondes and Onset HOBO dissolved oxygen data loggers (U26-001). Sondes and loggers were calibrated prior to deployment according to manufacturer&#x2019;s instructions and were cleaned and recalibrated after one week (<xref ref-type="bibr" rid="B76">Wallace and Gobler, 2021</xref>). After two weeks, sensors were retrieved and the hours of nocturnal hypoxia and mean nocturnal DO was calculated for each site as described above. In addition, the linear relationships between increases in bivalve growth rates in aeration treatments and hours of nocturnal hypoxia and mean nocturnal DO concentration described above were applied to each of the 19 study sites to assess the potential growth enhancement via the application of aeration. The mean and standard error of the percent enhancement in growth rate was calculated for all sites based on each of the two (mean nocturnal DO and mean daily hours of hypoxia) regressions.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<sec id="s3_1">
<title>
<italic>Mercenaria mercenaria</italic>
</title>
<p>Two experiments with hard clams lasted for three weeks each in July and August 2023. The mean shell height for the July and August cohorts of clams were 9.3 &#xb1; 1.0 and 9.6 &#xb1; 0.9 mm (n=120), respectively. Mean temperatures for these experiments were 26.80 &#xb1; 0.98 and 24.69 &#xb1; 1.18&#xb0;C, average chlorophyll <italic>a</italic> levels were 40.4 &#xb1; 32.1 &#xb5;g L<sup>-1</sup> and 22.9 &#xb1; 15.2 &#xb5;g L<sup>-1</sup> while average nocturnal pH was 7.80 &#xb1; 0.22 and 7.66 &#xb1; 0.15, respectively (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). Mean nocturnal dissolved oxygen (DO) values for the two experiments were 5.42 &#xb1; 1.72 and 4.52 &#xb1; 1.48 mg L<sup>-1</sup> in the unamended control and 6.42 &#xb1; 0.28 and 6.54 &#xb1; 0.30 mg L<sup>-1</sup> in the aeration treatment, respectively (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>; <xref ref-type="fig" rid="f1">
<bold>Figure 1</bold>
</xref>). In the first clam experiment, the aeration treatment had a growth rate of 0.11 &#xb1; 0.0036 mm d<sup>-1</sup> while the control had 0.12 &#xb1; 0.013 mm d<sup>-1</sup> (n=3), with the aeration treatment growing 7% slower (<italic>p</italic>&gt;0.05; <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1A</bold>
</xref>). In the second experiment, the aeration treatment had a growth rate of 0.11 &#xb1; 0.0075 mm d<sup>-1</sup> (n=3), growing 10% faster than the control (0.10 &#xb1; 0.0067 mm d<sup>-1</sup> (n=3); <italic>p</italic>&gt;0.05; <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1B</bold>
</xref>). Unamended control and experimental treatment growth rates were not significantly different in either experiment.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>
<bold>(A)</bold> Average daily growth over three weeks for the first hard clam (M. mercenaria) experiment. There was no significant difference in growth rates between the two treatments, however the Aerated treatment grew 7% slower. <bold>(B)</bold> Average daily growth over three weeks for the second hard clam experiment. There was no significant difference in growth rates between the two treatments, however the Aerated treatment grew 10% faster. <bold>(C)</bold> DO timeseries from the first experiment with missing data from the Aeration treatment was between 7/17 and 7/21. <bold>(D)</bold> DO timeseries from the second experiment with missing data from both treatments was between 8/14 and 8/16. Letter groupings represent statistical similarities and differences.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-12-1535142-g001.tif"/>
</fig>
</sec>
<sec id="s3_2">
<title>
<italic>Crassostrea virginica</italic>
</title>
<p>Three experiments were completed with Eastern oysters in August of 2022, July 2023, and September 2023. The first two experiments persisted for two weeks with average starting shell heights of 15.5 &#xb1; 1.6 and 13.6 &#xb1; 1.4 mm (n=120) while the third experiment ran for three weeks with average starting height of oysters being 12.1 &#xb1; 1.4 mm (n=120). Mean temperatures for the experiments were 27.60 &#xb1; 1.14, 25.66 &#xb1; 1.39, and 24.19 &#xb1; 2.69&#xb0;C. Average chlorophyll <italic>a</italic> levels were 29.2 &#xb1; 17.6 &#xb5;g L<sup>-1</sup>, 34.9 &#xb1; 21.8 &#xb5;g L<sup>-1</sup>, and 30.1 &#xb1; 39.1 &#xb5;g L<sup>-1</sup>, respectively (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). Mean nocturnal pH values were 7.61 &#xb1; 0.15, 7.72 &#xb1; 0.14, and 7.73 &#xb1; 0.18, respectively and mean nocturnal DO values during exposures were 3.82 &#xb1; 1.61, 4.85 &#xb1; 1.30, and 5.46 &#xb1; 1.55 mg L<sup>-1</sup> in the unamended control and 5.43 &#xb1; 0.73, 6.71 &#xb1; 0.31, and 6.67 &#xb1; 0.64 in the aeration treatment, respectively (<xref ref-type="fig" rid="f2">
<bold>Figure 2</bold>
</xref>). The first oyster experiment experienced on average 8.83 &#xb1; 4.87 hours of hypoxia (&lt; 3 mg L<sup>-1</sup>) per day whereas there was 0.25 &#xb1; 0.53 h and 1.25 &#xb1; 2.12 h in the second and third experiments, respectively (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). The first oyster experiment had growth rates of 0.667 &#xb1; 0.103 mm d<sup>-1</sup> (n=3) in the aeration treatment, 67% and significantly higher than the unamended control which had a growth rate of 0.40 &#xb1; 0.042 mm d<sup>-1</sup> (n=3) (<italic>p</italic>&lt;0.05; <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2A</bold>
</xref>). In the second experiment, the aeration treatment had a growth rate of 0.51 &#xb1; 0.019 mm d<sup>-1</sup> (n=3) and the control grew 14% slower at 0.45 &#xb1; 0.064 mm d<sup>-1</sup> (n=3) (<italic>p</italic>&gt;0.05; <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2B</bold>
</xref>). The third experiment had growth rates of 0.41 &#xb1; 0.045 mm d<sup>-1</sup> in the aeration treatment with controls rates being 0.38 &#xb1; 0.023 mm d<sup>-1</sup>, with the aeration treatment growing 9% faster (<italic>p</italic>&gt;0.05; <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2C</bold>
</xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>
<bold>(A)</bold> Average daily growth over two weeks for the first oyster (C. virginica) experiment. The Aerated treatment had significantly higher growth rates (70%) than the control treatment (p&lt;0.05). <bold>(B)</bold> Average daily growth over two weeks for the second oyster experiment. There was no significant difference in growth rates between the two treatments, however the Aerated treatment grew 14% faster. <bold>(C)</bold> Average daily growth over three weeks for the third oyster experiment. There was no significant difference in growth rates between the two treatments, however the Aerated treatment grew 9% faster. <bold>(D)</bold> DO timeseries from the first experiment. <bold>(E)</bold> DO timeseries for the second experiment with missing data from the control treatment was between 8/16 and 8/19. <bold>(F)</bold> DO timeseries from the third oyster experiment with missing data from the control treatment was between 9/1 and 9/5. Letter groupings represent statistical similarities and differences.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-12-1535142-g002.tif"/>
</fig>
</sec>
<sec id="s3_3">
<title>
<italic>Argopecten irradians</italic>
</title>
<p>Four bay scallop experiments were completed in September 2021, August and September 2022, and August 2023. Experiments one and four ran for three weeks with average starting heights of 10.3 &#xb1; 1.7 and 12.3 &#xb1; 0.8 mm (n=120), respectively, while experiments two and three ran for two weeks with average starting heights of 13.0 &#xb1; 0.8 and 13.3 &#xb1; 0.6 mm (n=120), respectively. Mean temperatures for the experiments were 23.54 &#xb1; 0.82, 26.29 &#xb1; 1.70, 17.21 &#xb1; 2.33, and 24.69 &#xb1; 1.18&#xb0;C and nocturnal pH values of 7.78 &#xb1; 0.22, 7.72 &#xb1; 0.12, 7.65 &#xb1; 0.12, and 7.67 &#xb1; 0.12, in experimental order. Average chlorophyll <italic>a</italic> levels were 55.5 &#xb1; 71.9 &#xb5;g L<sup>-1</sup>, 26.1 &#xb1; 20.4 &#xb5;g L<sup>-1</sup>, 4.34 &#xb1; 7.63 &#xb5;g L<sup>-1</sup>, and 22.9 &#xb1; 15.2 &#xb5;g L<sup>-1</sup>, respectively (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). Mean nocturnal DO values for these experiments were 5.00 &#xb1; 2.65, 4.87 &#xb1; 1.44, 6.13 &#xb1; 1.05, and 4.52 &#xb1; 1.48 in the unamended controls and 6.61 &#xb1; 0.98, 6.52 &#xb1; 0.30, 7.81 &#xb1; 0.34, and 6.54 &#xb1; 0.30 in the aeration treatment, in experimental order (<xref ref-type="fig" rid="f3">
<bold>Figure 3</bold>
</xref>). The scallop experiments experienced an average 6.90 h, 5.65 h, 0.00 h, and 4.82 h of nocturnal hypoxia in the respectively (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). The first bay scallop experiment had growth rates of 0.17 &#xb1; 0.0088 mm d<sup>-1</sup> (n=3) in the aeration treatment, 35% and significantly faster than the unamended control (0.12 &#xb1; 0.0042 mm d<sup>-1</sup> (n=3); <italic>p</italic>&lt;0.01; <xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3A</bold>
</xref>). In the second experiment, the aeration treatment had a growth rate of 0.42 &#xb1; 0.027 mm d<sup>-1</sup> and the control had 0.29 &#xb1; 0.0060 mm d<sup>-1</sup> (n=3), with the aeration treatment growing significantly faster by 41% (<italic>p</italic>&lt;0.005; <xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3B</bold>
</xref>). During the third experiment, scallops had growth rates of 0.046 &#xb1; 0.011 mm d<sup>-1</sup> in the aeration treatment growing 5% slower than the control at 0.049 &#xb1; 0.0042 mm d<sup>-1</sup> (n=3) (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3C</bold>
</xref>). Finally, in the fourth experiment, scallops had growth rates of 0.34 &#xb1; 0.0082 mm d<sup>-1</sup> in the aeration treatment and 0.29 &#xb1; 0.0040 mm d<sup>-1</sup> (n=3) in the control, with the aeration treatment growing 19% and significantly faster (<italic>p</italic>&lt;0.0005; <xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3D</bold>
</xref>).</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>
<bold>(A)</bold> Average daily growth over three weeks for the first bay scallop (A. irradians) experiment. The Aerated treatment had significantly higher growth rates (35%) than the control treatment (p&lt;0.01). <bold>(B)</bold> Average daily growth over two weeks for the second bay scallop experiment. The Aerated treatment had significantly higher growth rates (42%) than the control treatment (p&lt;0.05). <bold>(C)</bold> Average daily growth over three weeks for the third experiment. This was the only experiment to have no hypoxia in the Control treatment. There was no significant difference in growth rates between the two treatments, however the Aerated treatment grew 5.48% slower. <bold>(D)</bold> Average daily growth over three weeks for the fourth bay scallop experiment. The Aerated treatment had significantly higher growth rates (20%) than the Control treatment (p&lt;0.0005). <bold>(E)</bold> DO timeseries for the first bay scallop experiment. This was the only experiment to have hypoxia in the Aerated treatment due to experimental design, and missing data was between 9/24 and 9/28. <bold>(F)</bold> DO timeseries for the second experiment with missing data from the control treatment was between 9/1 and 9/8. <bold>(G)</bold> DO timeseries for the third experiment with missing data from the Control treatment was between 9/23 and 9/27. <bold>(H)</bold> DO timeseries for the last bay scallop experiment. This experiment was run concurrently with the second hard clam experiment. Missing data from both treatments was between 8/14 and 8/16. Letter groupings represent statistical similarities and differences.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-12-1535142-g003.tif"/>
</fig>
</sec>
<sec id="s3_4">
<title>Meta-analysis</title>
<p>To resolve the role of differences in DO across experiments, regressions analyses were performed, examining how improvements in growth rates achieved within aeration treatments were related to the severity of hypoxia and mean nocturnal DO in unamended controls. Across all experiments, scallops and oysters most frequently experienced improvement in growth via aeration displaying significantly improved growth in three of four and one of three experiments, respectively (<xref ref-type="fig" rid="f1">
<bold>Figures&#xa0;1</bold>
</xref>-<xref ref-type="fig" rid="f3">
<bold>3</bold>
</xref>). In contrast, amelioration of low DO never improved hard clam growth rates (two experiments; <xref ref-type="fig" rid="f1">
<bold>Figures&#xa0;1</bold>
</xref>, <xref ref-type="fig" rid="f2">
<bold>2</bold>
</xref>). Across all experiments, the percent increase of bay scallop and Eastern oyster&#x2019;s growth rates as a result of aeration were significantly correlated with the mean hours of nocturnal hypoxia during the experiment (<italic>p</italic>&lt;0.00001; <xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4A</bold>
</xref>). Similarly, the percent improvement of their growth rates was inversely correlated with mean nocturnal DO during the experiments (<italic>p</italic>&lt;0.00001; <xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4B</bold>
</xref>). Improvement in growth rates of bivalves were also significantly correlated with mean hours of experimental hypoxia and nocturnal DO when clams were included in the regression, albeit at a slightly lower level of significance (<italic>p</italic>&lt;0.0001; <xref ref-type="fig" rid="f4">
<bold>Figures&#xa0;4A, B</bold>
</xref>). In contrast, improvements in growth rates of bivalves in the aeration treatments were not correlated with the mean levels of chlorophyll a present during each experiment (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;4</bold>
</xref>).</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>
<bold>(A)</bold> Linear regression with a significant correlation between change in growth rates and daily hours of hypoxia (p&lt;0.0001 with clam included; p&lt;0.00001 with clams excluded). The total hours of hypoxia observed were normalized by the duration of the experiment to yield daily hours of hypoxia. <bold>(B)</bold> Linear regression with a significant negative correlation between change in growth rates and average nocturnal DO (p&lt;0.0001 with clam included; p&lt;0.00001 with clams excluded). Nocturnal DO values were averaged from 30 minutes after sunset to 30 minutes before sunrise.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-12-1535142-g004.tif"/>
</fig>
</sec>
<sec id="s3_5">
<title>Ecosystem comparison</title>
<p>Across the 19 study sites assessed in NY during July of 2024, mean nocturnal DO levels ranged from 0.11 to 3.9 mg L<sup>-1</sup> and the mean hours of nocturnal hypoxia ranged from 1 to 23 hours (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;1</bold>
</xref>). Using the regressions described above in the <italic>meta-analysis</italic> section, the potential percent increase in bivalve growth rates from applying aeration ranged from 10% for Mount Sinai Harbor which experienced an average of one hour of nocturnal hypoxia in late July to 240% for the Peconic River that experienced 23 hours of nocturnal hypoxia (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref>). The average across all sites was a 90% increase (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref>). About half of sites (<italic>n</italic>=10) had 10 or fewer hours of nocturnal hypoxia and potential growth enhancements generally within the range found in the experiments (up to 90%; <xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref>). The other half of the sites (<italic>n</italic>=9) had longer periods of hypoxia than those observed in experiments (10&#x2013;23 hours) that projected to a potential growth rate of increase of 100 &#x2013; 240% from aeration (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref>).</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Potential increase in bivalve growth rate with aeration at 18 locations using regressions from <xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>. Bars represent the mean of the two projected changes based on the regressions in <xref ref-type="fig" rid="f4">
<bold>Figures&#xa0;4A, B</bold>
</xref> and the error bars are standard error (SE). Details of the locations and DO data appear in <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;1</bold>
</xref>; <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;3</bold>
</xref>.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-12-1535142-g005.tif"/>
</fig>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>Hypoxia and acidification are well-known co-stressors that can have additive and synergistic negative effects on marine life (<xref ref-type="bibr" rid="B1">Alter et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B19">Gobler and Baumann, 2016</xref>; <xref ref-type="bibr" rid="B73">Waldbusser and Salisbury, 2014</xref>) and studies have shown that diel cycles of low pH and low DO negatively impact survival and growth of early life stage bivalves (<xref ref-type="bibr" rid="B12">Clark and Gobler, 2016</xref>; <xref ref-type="bibr" rid="B20">Gobler et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B77">Wallace et&#xa0;al., 2021</xref>). Here, experiments ameliorated nocturnal hypoxia allowing for the effects of this stressor, but not acidification, to be resolved. Oysters and scallops were found to be more responsive to the amelioration of nocturnal hypoxia compared to hard clams that, in contrast, appeared more resilient to this stressor. Importantly, the intensity of hypoxia during this study was relatively mild, with DO levels below 2 mg L<sup>-1</sup> rarely occurring, suggesting that extended exposure to even mild hypoxia can have significantly negative effects on bivalves. Collectively, these findings bring new insight toward understanding how nocturnal hypoxia may affect bivalve populations in coastal ecosystems.</p>
<p>In these experiments, DO cycling was ameliorated by vigorous aeration with microbubbles coupled with an extended residence time of seawater via a maze. In contrast, pH was unaffected. pH is influenced by multiple chemical species (CO<sub>2</sub>, H<sub>2</sub>CO<sub>3</sub>, HCO<sub>3</sub>
<sup>-</sup>, CO<sub>3</sub>
<sup>2-</sup>, HSO<sub>4</sub>, etc.) (<xref ref-type="bibr" rid="B50">Sarmiento and Gruber, 2006</xref>) that react to changes in carbonate chemistry and ultimately change pH (<xref ref-type="bibr" rid="B50">Sarmiento and Gruber, 2006</xref>; <xref ref-type="bibr" rid="B64">Tomasetti et&#xa0;al., 2023a</xref>; <xref ref-type="bibr" rid="B77">Wallace et&#xa0;al., 2021</xref>). In contrast, oxygen, which in an aqueous environment is in the form of a dissolved gas (O<sub>2(aq)</sub>) was directly and rapidly influenced by forced aeration. Regardless, the amelioration of nocturnal hypoxia alone allowed for experiments to isolate the effects of dissolved oxygen on bivalves.</p>
<p>Hard clams (<italic>Mercenaria mercenaria</italic>) are known to be less sensitive to low oxygen conditions than other temperate bivalves such as oysters and scallops (<xref ref-type="bibr" rid="B33">Levin et&#xa0;al., 2009</xref>; <xref ref-type="bibr" rid="B36">Morrison, 1971</xref>; <xref ref-type="bibr" rid="B56">Stevens and Gobler, 2018</xref>). As infaunal organisms, hard clams live within sediments that can be anoxic (<xref ref-type="bibr" rid="B38">Nitsche et&#xa0;al., 2007</xref>; <xref ref-type="bibr" rid="B49">Ripley, 1998</xref>). These bivalves may sometimes even benefit from hypoxia on a population level due to reduced predation pressure (<xref ref-type="bibr" rid="B2">Altieri, 2008</xref>; <xref ref-type="bibr" rid="B18">Galligan et&#xa0;al., 2022</xref>). A lower sensitivity to hypoxia would account for the small and non-significant changes in growth rates seen in these experiments. On the other hand, hard clam juvenile growth and development has been shown to be significantly impacted by high CO<sub>2</sub> conditions (<xref ref-type="bibr" rid="B60">Talmage and Gobler, 2010</xref>, <xref ref-type="bibr" rid="B61">2011</xref>; <xref ref-type="bibr" rid="B72">Waldbusser et&#xa0;al., 2010</xref>). Had pH cycling been ameliorated, there may have been a larger difference in growth rates compared to the clams exposed to lower nocturnal pH values.</p>
<p>In contrast to hard clams, oysters and scallops significantly benefited from the amelioration of nocturnal hypoxia. Their growth rates significantly increased in the majority of experiments, with aeration-induced increases in growth significantly correlated with the duration of nocturnal hypoxia, and average nocturnal DO concentrations. This is congruent with other studies that have found juvenile oysters and scallops experience decreased growth rates when exposed to static or cycling hypoxia (<xref ref-type="bibr" rid="B20">Gobler et&#xa0;al., 2017</xref>, <xref ref-type="bibr" rid="B21">2014</xref>; <xref ref-type="bibr" rid="B26">Johnson et&#xa0;al., 2009</xref>; <xref ref-type="bibr" rid="B33">Levin et&#xa0;al., 2009</xref>; <xref ref-type="bibr" rid="B56">Stevens and Gobler, 2018</xref>; <xref ref-type="bibr" rid="B66">Tomasetti et&#xa0;al., 2023b</xref>). Reduced growth rates of bivalves occurred even at hypoxia thresholds of &gt; 3 mg L<sup>-1</sup>, which is higher than hypoxia thresholds set by most US states (2 mg L<sup>-1</sup>) (<xref ref-type="bibr" rid="B65">Tomasetti and Gobler, 2020</xref>). Extrapolation of results to other locations across NY demonstrated hypoxia can be significantly more sever than this (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;1</bold>
</xref>) and thus the benefits of aeration can be larger (up to 240% increase in bivalve growth rates). To provide managers with a better understanding of the impacts of diel cycles of hypoxia and acidification, more studies need to be conducted on other ecologically and economically important species and across more locations.</p>
<p>Prior research has demonstrated that stressors such as ocean acidification, warming, and hypoxia can be overcome in some bivalves if there is adequate food, providing the excess energy needed upregulate physiological pathways to mitigate stress (<xref ref-type="bibr" rid="B62">Thomsen et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B34">Mackenzie et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B51">Schwaner et&#xa0;al., 2023</xref>). During this study, however, the levels of chlorophyll <italic>a</italic> were, on average, ~20 &#xb5;g per L or higher for 8 of the 9 experiments, a level known to be sufficient for the maximal performance of the bivalves studied here (<xref ref-type="bibr" rid="B13">Coutteau et&#xa0;al., 1994</xref>; <xref ref-type="bibr" rid="B79">Weiss et&#xa0;al., 2007</xref>; <xref ref-type="bibr" rid="B74">Wall et&#xa0;al., 2013</xref>). There was a single experiment (scallop experiment 3) when chlorophyll <italic>a</italic> levels averaged &lt; 5 &#xb5;g per L, a level known to potentially restrict the growth of bivalves (<xref ref-type="bibr" rid="B13">Coutteau et&#xa0;al., 1994</xref>; <xref ref-type="bibr" rid="B79">Weiss et&#xa0;al., 2007</xref>; <xref ref-type="bibr" rid="B74">Wall et&#xa0;al., 2013</xref>). However, this was also the only scallop experiment where the control outgrew the treatment and there was no nocturnal hypoxia. This experiment also had the highest control DO levels of any of the four scallop experiments, 5.92 &#xb1; 1.19 mg L<sup>-1</sup>, a level not known to impair bay scallop performance (<xref ref-type="bibr" rid="B23">Gurr et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B66">Tomasetti et&#xa0;al., 2023b</xref>). Moreover, a regression analyses of the mean chlorophyll <italic>a</italic> level present during each experiment and the increase in growth rate as a consequence of aeration depicted no relationship between these parameters (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;3</bold>
</xref>). While chlorophyll a may not be a perfect proxy for food availability, it was been a useful predictor in NY estuaries in the past (<xref ref-type="bibr" rid="B79">Weiss et&#xa0;al., 2007</xref>; <xref ref-type="bibr" rid="B74">Wall et&#xa0;al., 2013</xref>). Regardless, while food supply can be important for ameliorating stress in coastal bivalves, it appears food levels as estimated by chlorophyll <italic>a</italic> were adequate for nearly all experiments performed here and were unrelated to improved growth rates bivalves experienced as a consequence of higher DO levels.</p>
<p>As temperatures continue to increase across marine habitats, so will oxygen demand, which could lead to oxygen and capacity-limited thermal tolerance (OCLT) (<xref ref-type="bibr" rid="B45">P&#xf6;rtner and Knust, 2007</xref>). Every&#xa0;species has a specific thermal tolerance range; just outside of this optimal range is the pejus range, where conditions will become disadvantageous to the organism. Higher average temperatures and heat waves could have an impact on bivalve populations by limiting their aerobic scope due to higher metabolism rates (<xref ref-type="bibr" rid="B47">P&#xf6;rtner and Peck, 2010</xref>). Most of the experiments performed here were during maximal water annual temperatures in NY, typically around 25&#xb0;C. When coupled with nocturnal hypoxia, increased temperatures may force organisms into of their respective pejus range on a daily basis (<xref ref-type="bibr" rid="B47">P&#xf6;rtner and Peck, 2010</xref>). At lower DO concentrations, the pejus temperatures are increased, decreasing optimal temperature ranges. The faster growth rates observed within the aerated treatment suggest that more energy was available for processes other than maintaining homeostasis translating to increased growth (<xref ref-type="bibr" rid="B47">P&#xf6;rtner and Peck, 2010</xref>). Due to low DO and lack of excess energy, some proteins may not be produced in the necessary amounts to combat environmental stresses such as heat-shock (<xref ref-type="bibr" rid="B45">P&#xf6;rtner and Knust, 2007</xref>). Over time reductions in an organism&#x2019;s fitness due to low oxygen supply and high demand coupled with an increased likelihood of experiencing conditions inside of the pejus range will eventually cause reduced population abundances (<xref ref-type="bibr" rid="B47">P&#xf6;rtner and Peck, 2010</xref>).</p>
<p>The results of this study suggest that diel cycling of hypoxia may have significant impacts on fisheries and ecological services in eutrophic coastal regions (<xref ref-type="bibr" rid="B15">Diaz and Rosenberg, 2008</xref>; <xref ref-type="bibr" rid="B71">Vaquer-Sunyer and Duarte, 2008</xref>). Reductions in juvenile bivalve growth rates due to nocturnal hypoxia would increase the increase risk of predation for individuals prior to reaching predation refuge sizes (<xref ref-type="bibr" rid="B28">Juanes, 1992</xref>; <xref ref-type="bibr" rid="B58">Summerson and Peterson, 1984</xref>; <xref ref-type="bibr" rid="B83">Wong et&#xa0;al., 2010</xref>) increasing population level stressors (<xref ref-type="bibr" rid="B27">Johnson and Smee, 2012</xref>). Detrimental nocturnal hypoxia will become more severe as climate change and eutrophication increase (<xref ref-type="bibr" rid="B40">Nixon, 2009</xref>; <xref ref-type="bibr" rid="B59">Sunda and Cai, 2012</xref>; <xref ref-type="bibr" rid="B65">Tomasetti and Gobler, 2020</xref>; <xref ref-type="bibr" rid="B84">Wootton et&#xa0;al., 2008</xref>). Rising temperatures could extend the season of severe diel cycling earlier and create more extreme daily maxima and nightly minima due to higher metabolic rates and lower oxygen saturation concentrations (<xref ref-type="bibr" rid="B3">Baumann and Smith, 2018</xref>; <xref ref-type="bibr" rid="B59">Sunda and Cai, 2012</xref>; <xref ref-type="bibr" rid="B69">Tyler et&#xa0;al., 2009</xref>). Increased nutrient loading can promote algal blooms that can also intensify nocturnal hypoxia and the magnitude of diel cycles (<xref ref-type="bibr" rid="B40">Nixon, 2009</xref>; <xref ref-type="bibr" rid="B42">Oelsner and Stets, 2019</xref>; <xref ref-type="bibr" rid="B43">Paerl et&#xa0;al., 2006</xref>; <xref ref-type="bibr" rid="B55">Steel, 1991</xref>). Reductions in populations of coastal bivalves due to extreme diel DO cycles would have impacts on important fisheries by reducing harvest and ecosystems services (<xref ref-type="bibr" rid="B37">Newell, 2004</xref>).</p>
<p>Current dissolved oxygen regulations are not representative of lethal/sub-lethal oxygen minimum thresholds for many taxa (<xref ref-type="bibr" rid="B71">Vaquer-Sunyer and Duarte, 2008</xref>). It has been shown that 61% and 43% of taxa tested experienced mortality and sub-lethal effects, respectively, above a 2 mg L<sup>-1</sup> threshold commonly cited in literature (<xref ref-type="bibr" rid="B65">Tomasetti and Gobler, 2020</xref>; <xref ref-type="bibr" rid="B71">Vaquer-Sunyer and Duarte, 2008</xref>). It has been suggested that a new threshold of 4.6 mg L<sup>-1</sup> should be adopted to be representative of the 90<sup>th</sup> percentile of mean lethal concentrations (<xref ref-type="bibr" rid="B53">Steckbauer et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B71">Vaquer-Sunyer and Duarte, 2008</xref>). Based on the regression analyses used in this study (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>), however, even at a threshold of 4.6 mg L<sup>-1</sup>, Eastern oysters and bay scallops could experience a decrease in growth rates of 39%. Further research is needed on other coastal taxa to determine their susceptibility to repeated, short bouts of hypoxia to establish similar representative thresholds. Nocturnal extremes are often not considered within managerial frameworks and, therefore, may allow detrimental conditions to persist without regulatory action (<xref ref-type="bibr" rid="B65">Tomasetti and Gobler, 2020</xref>). For example, historically, most dissolved oxygen monitoring has occurred during the day, and during this study hypoxia was generally absent after 0800, even when DO minimums of &lt; 2 mg L<sup>-1</sup> occurred only an hour earlier. Advancements in continuous remote monitoring have refined our understanding of nocturnal hypoxia and may, therefore, facilitate future management reform.</p>
<p>Restoration of bivalve populations has received significant attention recently (<xref ref-type="bibr" rid="B16">Duarte et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B22">Gobler et&#xa0;al., 2022</xref>), with a focus on ecosystem services such as improved water clarity, increased habitat, and reduced algal biomass (<xref ref-type="bibr" rid="B16">Duarte et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B32">Kreeger et&#xa0;al., 2018</xref>). Two of the main roadblocks to restoring bivalve populations are water quality issues and low natural abundance (<xref ref-type="bibr" rid="B16">Duarte et&#xa0;al., 2020</xref>). Diel cycling of hypoxia and acidification affect many of these habitats and may make restoration efforts more difficult due to lower larval survival and slower juvenile growth rates as seen in this study (<xref ref-type="bibr" rid="B77">Wallace et&#xa0;al., 2021</xref>). Aquaculture of bivalves may serve as an intermediate step to population and habitat recovery by allowing for more control over conditions and improving water quality (<xref ref-type="bibr" rid="B32">Kreeger et&#xa0;al., 2018</xref>). <xref ref-type="bibr" rid="B22">Gobler et&#xa0;al. (2022)</xref> described the recovery of a hard clam population in a coastal lagoon in NY using spawner sanctuaries. Given other bivalves species (oysters and scallops) are less tolerant of nocturnal hypoxia compared to <italic>M. mercenaria</italic>, improved water quality might be needed for such species to experience similar restoration recoveries.</p>
<p>Aquaculture is one of the fastest growing food production sectors in the world with lower trophic levels, including shellfish, constituting about half of all production (<xref ref-type="bibr" rid="B57">Subasinghe et&#xa0;al., 2009</xref>; <xref ref-type="bibr" rid="B70">van der Schatte Olivier et&#xa0;al., 2020</xref>), and many studies focused on the means to increase aquaculture output (<xref ref-type="bibr" rid="B14">Creswell and McNevin, 2008</xref>). Given that oxygenation in flow through systems significantly increased growth rates of Eastern oysters and bay scallops in this study similar results might be achieved in larger but localized aquaculture settings. For example, the inclusion of aeration using floating upweller systems (FLUPSY; (<xref ref-type="bibr" rid="B48">RaLonde, 1999</xref>) or similar environmental aeration in semi-enclosed bodies of water could be incorporated to ameliorate nocturnal hypoxia. In the experiments presented here, bivalve densities were low at 20 individuals per replicate (~50 individuals m<sup>-2</sup>) and high survival was found in both treatments. Given that substantially higher densities (&gt;250 individuals m<sup>-2</sup>) are common in hatchery and farm settings (<xref ref-type="bibr" rid="B63">Tobi and Ward, 2019</xref>; <xref ref-type="bibr" rid="B81">Widman and Rhodes, 1991</xref>), it is possible that increased survival could also be achieved via such aeration.</p>
<p>Recent studies have explored co-culturing macroalgae to improve water quality on commercial bivalve farms (<xref ref-type="bibr" rid="B17">Fern&#xe1;ndez et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B85">Young and Gobler, 2018</xref>; <xref ref-type="bibr" rid="B86">Young et&#xa0;al., 2022</xref>). <xref ref-type="bibr" rid="B86">Young et&#xa0;al. (2022)</xref> found that co-culture with sugar kelp (<italic>Saccharina latissimi</italic>) increased seawater pH and the growth rates of Eastern oysters whereas <xref ref-type="bibr" rid="B85">Young and Gobler (2018)</xref> demonstrated that sea lettuce (<italic>Ulva</italic> spp.) could increase calcium carbonate saturation states and bivalve growth rates. Such studies, however, have not fully investigated the changes in diel cycles of DO nor the manner in which higher DO may benefit bivalves. The introduction of additional photosynthetic organisms could improve oxygen conditions during the day, but respiration could also cause greater declines in nocturnal concentrations. A better understanding of diel cycles during macroalgae co-culture could be achieved via experiments that investigate all water chemistry parameters including DO on a continuous basis. Artificially perturbing diel cycles in the presence of macroalgal co-cultures, by aerating for example, may create an excellent opportunity to investigate this interaction.</p>
</sec>
<sec id="s5" sec-type="conclusions">
<title>Conclusion</title>
<p>Climate change and eutrophication fueled diel cycles of hypoxia and acidification result in organisms being repeatedly subjected to environmental extremes. The experiments presented here demonstrated that amelioration of these conditions improves juvenile bivalve growth compared to individuals experiencing diel DO cycles. Given that experiments were performed with water that displayed only mild nocturnal hypoxia (mean nocturnal DO across all experiments was 4.7 mg L<sup>-1</sup>), the growth and potentially survival improvement via aeration in more severe hypoxic zones would likely be greater than observed here. Scallop and oyster growth rates were improved on average by 23% and 30%, respectively, and by up to 70% relative to the controls, demonstrating the impact of nocturnal hypoxia on these species. Extrapolation of results to 19 other locations across NY suggested substantially larger benefits at some location with increases in bivalve growth exceeding 100% for half of the locations. While mitigating nocturnal hypoxia via aeration was effective on a small scale, reducing coastal eutrophication to improve DO levels will be needed for sustainable, large-scale improvement.</p>
</sec>
</body>
<back>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Material</bold>
</xref>. Further inquiries can be directed to the corresponding author.</p>
</sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>JK: Conceptualization, Data curation, Formal Analysis, Investigation, Validation, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. CJG: Conceptualization, Funding acquisition, Methodology, Project administration, Resources, Validation, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing.</p>
</sec>
<sec id="s8" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research and/or publication of this article. This work was support by NOAA&#x2019;s HAB OA program award NA22NOS4780167 to CJG and a New York Sea Grant award R-FMB-38 to CJG.</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>This work was support by NOAA&#x2019;s HAB OA program award NA22NOS4780167 to CG and a New York Sea Grant award R-FMB-38 to CG. We thank the Stony Brook &#x2013; Southampton Marine Science Center Staff for logistical support of experiments and Jennifer Goleski and Andrew Lundstrom for organizing dissolved oxygen data.</p>
</ack>
<sec id="s9" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s10" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declare that Generative AI was used in the creation of this manuscript as a tool for gathering general information. All of the text in the manuscript was conceived by and written by the human authors.</p>
</sec>
<sec id="s11" 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="s12" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fmars.2025.1535142/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fmars.2025.1535142/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="DataSheet1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
</sec>
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