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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Mar. Sci.</journal-id>
<journal-title>Frontiers in Marine Science</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Mar. Sci.</abbrev-journal-title>
<issn pub-type="epub">2296-7745</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fmars.2023.1254965</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Marine Science</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>The influence of deoxygenation on Caribbean coral larval settlement and early survival</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Mallon</surname>
<given-names>Jennifer E.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Demko</surname>
<given-names>Alyssa M.</given-names>
</name>
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<sup>1</sup>
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<contrib contrib-type="author">
<name>
<surname>Sneed</surname>
<given-names>Jennifer M.</given-names>
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<sup>1</sup>
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<contrib contrib-type="author">
<name>
<surname>Newman</surname>
<given-names>Lilyana</given-names>
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<sup>1</sup>
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<surname>Dugan</surname>
<given-names>Carle</given-names>
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<xref ref-type="aff" rid="aff1">
<sup>1</sup>
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<contrib contrib-type="author">
<name>
<surname>Altieri</surname>
<given-names>Andrew H.</given-names>
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<xref ref-type="aff" rid="aff2">
<sup>2</sup>
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<contrib contrib-type="author">
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<surname>Paul</surname>
<given-names>Valerie Jean</given-names>
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<sup>1</sup>
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<contrib contrib-type="author">
<name>
<surname>Johnson</surname>
<given-names>Maggie D.</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
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<aff id="aff1">
<sup>1</sup>
<institution>Smithsonian Marine Station</institution>, <addr-line>Fort Pierce, FL</addr-line>, <country>United States</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Department of Environmental Engineering Sciences, Engineering School of Sustainable Infrastructure and Environment, University of Florida</institution>, <addr-line>Gainesville, FL</addr-line>, <country>United States</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Red Sea Research Center, Biological and Environmental Science and Engineering, King Abdullah University of Science and Technology (KAUST)</institution>, <addr-line>Thuwal</addr-line>, <country>Saudi Arabia</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Michael Yu Roleda, University of the Philippines Diliman, Philippines</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Francisco O. Borges, Center for Marine and Environmental Sciences (MARE), Portugal; Dan Tchernov, University of Haifa, Israel</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Jennifer E. Mallon, <email xlink:href="mailto:Jennifer.mallon@fulbrightmail.org">Jennifer.mallon@fulbrightmail.org</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>02</day>
<month>10</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>10</volume>
<elocation-id>1254965</elocation-id>
<history>
<date date-type="received">
<day>07</day>
<month>07</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>13</day>
<month>09</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2023 Mallon, Demko, Sneed, Newman, Dugan, Altieri, Paul and Johnson</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Mallon, Demko, Sneed, Newman, Dugan, Altieri, Paul and Johnson</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>Deoxygenation is emerging as a major threat to coral reefs where it can have catastrophic effects, including mass coral mortality. Some coral species cannot survive more than a few days of exposure to low oxygen conditions, while others can tolerate deoxygenation for weeks, suggesting that coral tolerance to lowered dissolved oxygen (DO) concentrations is species-specific. However, hypoxia thresholds for corals have not yet been fully defined, and more information is needed to understand if tolerance to deoxygenation is consistent across all life stages. In this study, we tested the influence of severe (1.5 mg L<sup>-1</sup> DO) and intermediate (3.5 mg L<sup>-1</sup> DO) deoxygenation on larval settlement and survival during the early recruitment life phase of <italic>Colpophyllia natans</italic>, <italic>Orbicella faveolata</italic>, and <italic>Pseudodiploria strigosa.</italic> Exposure to deoxygenation over a 3-day settlement period did not significantly impact larval survival nor settlement rates compared to ambient DO concentrations (6 mg L<sup>-1</sup> DO) for all three species. However, recruit survivorship in <italic>C. natans</italic> and <italic>O. faveolata</italic> after further exposure to severe deoxygenation was reduced compared to intermediate deoxygenation and control DO conditions. After 45 days of exposure to severe deoxygenation only 2.5 &#xb1; 2.5% of the initial <italic>O. faveolata</italic> had survived the larval and recruit stages compared to 22.5 &#xb1; 4.5% in control oxygen conditions. Similarly, <italic>C. natans</italic> survival was 13.5 &#xb1; 6.0% under severe deoxygenation, compared to 41.0 &#xb1; 4.4% in the control treatment. In contrast, survival of <italic>P. strigosa</italic> larvae and recruits was not different under deoxygenation treatments compared to the control, and higher overall, relative to the other species, indicating that <italic>P. strigosa</italic> is more resilient to severe deoxygenation conditions during its earliest life stages. This study provides unique insights into species-specific variation in the tolerance of coral recruits to deoxygenation with implications for whether this life history stage may be a demographic bottleneck for three ecologically important Caribbean coral species. Given the increasing frequency and severity of deoxygenation events in Caribbean coastal waters, these results are an important contribution to the growing body of research on deoxygenation as a threat to coral reef persistence in the Anthropocene, with implications for conservation and restoration efforts integrating coral recruitment into reef recovery efforts.</p>
</abstract>
<kwd-group>
<kwd>climate change</kwd>
<kwd>deoxygenation</kwd>
<kwd>coral reefs</kwd>
<kwd>larvae</kwd>
<kwd>recruitment</kwd>
<kwd>settlement</kwd>
<kwd>mesocosm</kwd>
</kwd-group>
<counts>
<fig-count count="4"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="61"/>
<page-count count="11"/>
<word-count count="5862"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Global Change and the Future Ocean</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>Coral reefs are among the most diverse and productive ecosystems on the planet, providing habitat for a vast array of marine organisms and supporting healthy coastlines and communities (<xref ref-type="bibr" rid="B61">Woodhead et&#xa0;al., 2019</xref>). However, coral reef ecological function and persistence is threatened due to dramatic changes in marine climatic conditions of the Anthropocene (<xref ref-type="bibr" rid="B19">He and Silliman, 2019</xref>). Ocean warming and acidification (OA) have been broadly explored for decades as the two dominant global-scale drivers of coral reef ecosystem decline, yet only recently has deoxygenation been identified as a third parallel, immediate, and severe threat facing coral reef ecosystems (<xref ref-type="bibr" rid="B6">Altieri et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B22">Hughes et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B26">Johnson et&#xa0;al., 2021a</xref>). Ocean deoxygenation describes the warming-induced decreases in seawater dissolved oxygen (DO) observed since the 1950&#x2019;s, as rising temperatures reduce the capacity for seawater to maintain DO concentrations (<xref ref-type="bibr" rid="B30">Keeling et&#xa0;al., 2010</xref>). Deoxygenation occurs over a range of durations and spatial scales (<xref ref-type="bibr" rid="B10">Breitburg et&#xa0;al., 2018</xref>), including episodic oxygen depletion that can occur locally as organic loading and eutrophication of coastal waters lead to algal blooms and enhanced microbial activity which can deplete seawater DO (<xref ref-type="bibr" rid="B42">Rabalais et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B1">Adelson et&#xa0;al., 2022</xref>).</p>
<p>Oxygen plays a pivotal role in the trophic interactions and ecological function of coral reefs (<xref ref-type="bibr" rid="B36">Nelson and Altieri, 2019</xref>); therefore, they are particularly vulnerable to deoxygenation. Since tropical coral reefs exist in shallow coastal waters, including enclosed bays or lagoons that often have high seawater residence times, there can be limited capacity for reoxygenation and a heightened sensitivity to drivers of changing DO. Degradation of excessive quantities of seaweed, such as pelagic <italic>Sargassum</italic> spp., can result in episodic deoxygenation of shallow coastal waters where decaying algae accumulates, and has been associated with mortality in corals and seagrasses (<xref ref-type="bibr" rid="B54">van Tussenbroek et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B49">Rodr&#xed;guez-Mart&#xed;nez et&#xa0;al., 2019</xref>). Wastewater runoff is also a driver of algal blooms, eutrophication, and heightened microbial respiration, which can lead to oxygen depletion (<xref ref-type="bibr" rid="B53">Tuholske et&#xa0;al., 2021</xref>). Additionally, coral spawn slicks are associated with hypoxic stress in some circumstances, as excess organic matter and decomposition in the water column can cause oxygen depletion (<xref ref-type="bibr" rid="B21">Hobbs and Macrae, 2012</xref>). Reports of mass mortality in response to deoxygenation events on coral reefs have been made across many sites (e.g., <xref ref-type="bibr" rid="B21">Hobbs and Macrae, 2012</xref>; <xref ref-type="bibr" rid="B6">Altieri et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B25">Johnson et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B26">Johnson et&#xa0;al., 2021a</xref>; <xref ref-type="bibr" rid="B13">Castrill&#xf3;n-Cifuentes et&#xa0;al., 2023</xref>) and deoxygenation is now considered a threat to survival of at least 10% of all coral reefs (<xref ref-type="bibr" rid="B6">Altieri et&#xa0;al., 2017</xref>). A meta-analysis of global coral reef dissolved oxygen data revealed that 50% of coral reefs currently experience mild (&#x2264; 4 mg L<sup>-1</sup> DO) and 13% experience severe (&#x2264; 2 mg L<sup>-1</sup>) deoxygenation (<xref ref-type="bibr" rid="B41">Pezner et&#xa0;al., 2023</xref>). Even so, it is likely that deoxygenation events on coral reefs remain underreported due to a lack of long-term data and inconsistent monitoring programs which do not always capture rapid deoxygenation events. Incidences of deoxygenation on coral reefs are predicted to increase as climatic conditions continue to change at an unprecedented rate (<xref ref-type="bibr" rid="B7">Altieri and Gedan, 2015</xref>; <xref ref-type="bibr" rid="B8">Altieri et&#xa0;al., 2021</xref>). Up to 94% of coral reefs may be exposed to some degree of deoxygenation by 2100 under &#x2018;business as usual&#x2019; climate scenarios (<xref ref-type="bibr" rid="B41">Pezner et&#xa0;al., 2023</xref>).</p>
<p>Hypoxic responses in corals can range from reduced physiological function to complete mortality, and it is assumed that hypoxia is activated in coral reef organisms exposed to concentrations of &lt; 2 mg L<sup>-1</sup> DO (63 &#xb5;mol L<sup>-1</sup>) (<xref ref-type="bibr" rid="B36">Nelson and Altieri, 2019</xref>). However, it is likely that thresholds vary between functional groups and species (<xref ref-type="bibr" rid="B55">Vaquer-Sunyer and Duarte, 2008</xref>). In corals, inter-specific hypoxic response limits have been noted: for example, resilience to deoxygenation was observed in <italic>Orbicella faveolata</italic> which survived over 11 days of exposure to critically low levels of DO (&lt;1 mg L<sup>-1</sup>), yet <italic>Acropora cervicornis</italic> suffered complete mortality within 5 days of exposure to the same conditions (<xref ref-type="bibr" rid="B27">Johnson et&#xa0;al., 2021b</xref>). Since coral reef ecosystems experience a range of DO concentrations over diel cycles due to high rates of oxygen-consuming respiration at night, balanced with oxygen-producing photosynthesis during daylight hours, corals have some adaptive capabilities to fluctuations in DO (<xref ref-type="bibr" rid="B14">Deleja et&#xa0;al., 2022</xref>). Oxygen bioavailability is mediated in the diffusive boundary layer (DBL), the thin sheet of seawater directly in contact with the coral surface (<xref ref-type="bibr" rid="B39">Patterson, 1992</xref>; <xref ref-type="bibr" rid="B52">Shashar et&#xa0;al., 1996</xref>). Within the DBL, oxygen molecules and other solutes are passively transferred between seawater and the coral surface. Oxygen supersaturation can occur in the DBL during periods of intense photosynthetic activity, and oxygen depletion due to respiration at night, providing evidence that corals are regularly exposed to a range of oxygen concentrations at the micro-scale (<xref ref-type="bibr" rid="B8">Altieri et&#xa0;al., 2021</xref>). At the macro-scale, some coral species have been found to survive near-anoxic conditions in extreme environments such as shallow lagoons and mangrove roots (<xref ref-type="bibr" rid="B12">Camp et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B11">Camp et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B8">Altieri et&#xa0;al., 2021</xref>), further creating selective pressure that may drive variation in response to deoxygenation.</p>
<p>While adult scleractinian coral colonies are sessile and therefore unable to escape low oxygen conditions, coral sexual reproduction involves a larval, pelagic phase during which time coral planulae are mobile. Swimming larvae actively seek appropriate habitat for settlement and metamorphosis into juvenile coral recruits (<xref ref-type="bibr" rid="B46">Ritson-Williams et&#xa0;al., 2009</xref>). This planktonic larval phase usually lasts several days, although larval competency can range from weeks to months (<xref ref-type="bibr" rid="B45">Richmond and Hunter, 1990</xref>; <xref ref-type="bibr" rid="B60">Wilson and Harrison, 1998</xref>; <xref ref-type="bibr" rid="B20">Heyward and Negri, 2010</xref>). Larvae are sensitive to environmental conditions such as temperature (<xref ref-type="bibr" rid="B37">Nozawa and Harrison, 2007</xref>) and OA (<xref ref-type="bibr" rid="B2">Albright, 2011</xref>), which can affect larval survival, swimming, and settlement behaviors, with the potential to shorten the competency time of larvae and limit dispersal distance (<xref ref-type="bibr" rid="B20">Heyward and Negri, 2010</xref>). The mechanisms driving larval settlement selection are not fully understood; however, the influence of environmental change such as ocean warming and acidification can negatively affect recruitment rates (<xref ref-type="bibr" rid="B3">Albright and Langdon, 2011</xref>; <xref ref-type="bibr" rid="B15">Doropoulos et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B56">Webster et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B5">Alessi et&#xa0;al., 2019</xref>). While warming and OA occur in parallel with deoxygenation, the role of DO concentration as a physiological cue or threat to survival in coral larvae and recruits requires further research.</p>
<p>Knowledge about the impact of deoxygenation on coral recruitment is scarce, but the few studies undertaken in this area point to important effects of deoxygenation on the early life phases of coral. <xref ref-type="bibr" rid="B4">Alderdice et&#xa0;al. (2022)</xref> found significant changes to gene expression in <italic>Acropora selago</italic> larvae after exposure to 12 hours of low (2 mg L<sup>-1</sup>) oxygen concentrations, despite no changes to observable swimming behaviors. In a settlement choice experiment by <xref ref-type="bibr" rid="B28">Jorissen and Nugues (2021)</xref> <italic>A. cytherea</italic> and <italic>A. pulchra</italic> larvae preferentially settled in areas with higher DO concentrations when placed in a settlement chamber with a gradient of low- or high- DO seawater. They also found that larvae reduced downward swimming behavior (indicative of settlement) by over 96% in low DO conditions, which correlated with lower settlement rates, demonstrating that lowered oxygen concentration negatively influenced settlement rates in these species (<xref ref-type="bibr" rid="B28">Jorissen and Nugues, 2021</xref>).</p>
<p>Understanding the potential for reduced settlement success in response to depleted DO concentrations is critical for estimating the current and future impact that deoxygenation will have on coral populations. Juvenile recruits of broadcast spawning corals have become rare on Caribbean coral reefs and low rates of successful recruitment are likely to be a bottleneck to ecosystem recovery (<xref ref-type="bibr" rid="B24">Hughes and Tanner, 2000</xref>; <xref ref-type="bibr" rid="B43">Randall et&#xa0;al., 2020</xref>). The impact of deoxygenation on coral recruitment success could have serious implications for the ability of coral populations to regenerate. At the most practical level, understanding the oxygen needs of coral larvae and the role of oxygen in settlement success will provide valuable insight for reef restoration efforts focused on upscaling and streamlining larval rearing programs and outplanting (e.g., <xref ref-type="bibr" rid="B9">Banaszak et&#xa0;al., 2023</xref>). However, for many important coral species no published data are available on their response to deoxygenation during early life stages. Few coral hypoxia studies compare physiological response between species, and most of the existing studies involve only a short duration of exposure to low oxygen. To address these research gaps, we directly compare the response of three coral species exposed to deoxygenation over an extended exposure time. This study aims to (a) quantify the impact of deoxygenation on coral larval settlement and early survival, and (b) to identify tolerance of 3 Caribbean reef-building species during exposure to oxygen depletion representing intermediate (3.5 mg L<sup>-1</sup>) and severe (1.5 mg L<sup>-1</sup>) deoxygenation conditions already evident on contemporary corals reefs.</p>
</sec>
<sec id="s2">
<title>Methods</title>
<sec id="s2_1">
<title>Mesocosm system</title>
<p>Experiments were conducted at the Smithsonian Marine Station (SMS) mesocosm facility between August-October 2022. The mesocosm system is described in detail in <xref ref-type="bibr" rid="B27">Johnson et&#xa0;al. (2021b)</xref>. It consists of 12 independent, closed-circulation 40-liter tanks (Aqualogic) which were filled with filtered seawater (0.5 followed by 0.2 &#xb5;m and CoralLife UV light). In each tank, seawater was circulated through a temperature control unit with an aquarium pump (Aqualogic) to maintain water temperature at 27 &#xb1; 0.5&#xb0;C. Partial seawater changes (50%) were carried out twice weekly and salinity was maintained with the daily addition of approx. 500 ml reverse osmosis (RO) fresh water to each tank to counteract the effect of evaporation. Ambient lighting was maintained for 12 hours per day at PAR 173 &#xb1; 12 &#xb5;mol photons m<sup>&#x2212;2</sup> s<sup>&#x2212;1</sup>. Dissolved oxygen (DO, mg L<sup>-1</sup>) concentration was measured continuously with an Oxyguard DO sensor in each tank, linked to a Neptune Apex control system. Oxyguard DO probe membranes were renewed at the start and calibrated each week throughout the experiment. Experimental DO concentrations were manipulated to create 2 deoxygenation treatments, 3.5 mg L<sup>-1</sup> and 1.5 mg L<sup>-1</sup>, and a control treatment of 6 mg L<sup>-1</sup>. Concentration of DO was controlled by bubbling nitrogen through the water causing oxygen to be expelled. Nitrogen was directly injected into a small circulation pump, so that it was mixed with water and dispersed throughout the tank. Care was taken to direct bubbles away from study organisms. An automated system of solenoid valves controlled the release of compressed nitrogen into each tank to maintain consistent DO concentrations at the target value. Control tanks were set up with an identical system but bubbled ambient air. In 6 of the tanks (2 per treatment), pH was logged each minute with Neptune pH sensors, which were calibrated 2 &#x2013; 3 times per week following manufacturer protocol. Daily measurements of pH (NBS scale), DO, and temperature were collected using a YSI Pro 4 (pH was calibrated every 48 hours using YSI calibration buffers at pH 4, pH 7 and pH 10; DO was calibrated using 100% saturated air every 3 &#x2013; 4 days) and temperature was cross-referenced daily with a handheld traceable thermometer (Fisherbrand) (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>).</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Discrete measurements of mesocosm seawater parameters summarized by treatment (mean &#xb1; SD).</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Treatment</th>
<th valign="top" align="left">DO (mg L<sup>-1</sup>)</th>
<th valign="top" align="left">pH<sub>NBS</sub>
</th>
<th valign="top" align="left">Temperature (&#xb0;C)</th>
<th valign="top" align="left">Salinity (ppt)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Control</td>
<td valign="top" align="left">5.73 &#xb1; 0.33</td>
<td valign="top" align="left">7.98 &#xb1; 0.09</td>
<td valign="top" align="left">26.85 &#xb1; 0.81</td>
<td valign="top" align="left">36.48 &#xb1; 0.40</td>
</tr>
<tr>
<td valign="top" align="left">Intermediate</td>
<td valign="top" align="left">3.44 &#xb1; 0.22</td>
<td valign="top" align="left">7.93 &#xb1; 0.05</td>
<td valign="top" align="left">26.75 &#xb1; 0.12</td>
<td valign="top" align="left">36.58 &#xb1; 0.42</td>
</tr>
<tr>
<td valign="top" align="left">Severe</td>
<td valign="top" align="left">1.72 &#xb1; 0.21</td>
<td valign="top" align="left">8.02 &#xb1; 0.09</td>
<td valign="top" align="left">26.83 &#xb1; 0.14</td>
<td valign="top" align="left">36.49 &#xb1; 0.51</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Measurements were taken in each tank of the 12 tanks (4 tanks per treatment) daily and a mean average was calculated by grouping all measurements for each treatment. Note: Measurements were sometimes collected immediately after water changes.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s2_2">
<title>Study organisms</title>
<p>Larvae of three species of critically endangered, broadcast spawning corals were obtained from the Florida Aquarium Center for Conservation and Biscayne National Park in August 2022. The larvae were produced from gametes collected from spawning coral colonies at field sites (<italic>Orbicella faveolata</italic>) and from aquarium-reared corals (<italic>Colpophyllia natans</italic>, <italic>Pseudodiploria strigosa</italic>) (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). Larvae were produced via ex-situ assisted fertilization conducted following standard protocols (<xref ref-type="bibr" rid="B38">O&#x2019;Neil et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B9">Banaszak et&#xa0;al., 2023</xref>) and swimming larvae were transported in plastic containers filled with filtered, oxygenated seawater to the SMS mesocosm facility where they were stored in plastic containers prior to settlement assays. Water changes using filtered (0.2 &#xb5;m) seawater (27 &#xb1; 1&#xb0;C) were carried out every 48 hours using 80 - 100 &#xb5;m mesh to filter larvae. Larvae were placed in the experiment when they were competent to settle and metamorphose, between 3 to 9 days post-fertilization (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref> for full timeline). The timeline of larval competency (the time during which the larvae are capable of settlement and metamorphosis) is generally capped at 30 days (<xref ref-type="bibr" rid="B60">Wilson and Harrison, 1998</xref>), and all the larvae used in this study were within that timeframe.</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Details about the coral larvae used in this study.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="bottom" align="left">Species</th>
<th valign="bottom" align="center">Spawn date</th>
<th valign="bottom" align="center">Collected*</th>
<th valign="bottom" align="center">Experiment start</th>
<th valign="bottom" align="center">Final count</th>
<th valign="bottom" align="center">Chamber<break/>mesh size (&#xb5;m)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">
<italic>Orbicella faveolata</italic>
</td>
<td valign="top" align="left">17/08/22</td>
<td valign="top" align="left">In-situ<sup>1</sup>
</td>
<td valign="top" align="center">26/08/22</td>
<td valign="top" align="center">11/10/22</td>
<td valign="top" align="center">100</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Pseudodiploria strigosa 1</italic>
</td>
<td valign="top" align="left">20/08/22</td>
<td valign="top" align="left">Ex-situ<sup>2</sup>
</td>
<td valign="top" align="center">23/08/22</td>
<td valign="top" align="center">07/10/22</td>
<td valign="top" align="center">180</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Colpophylia natans</italic>
</td>
<td valign="top" align="left">20/08/22</td>
<td valign="top" align="left">Ex-situ<sup>2</sup>
</td>
<td valign="top" align="center">23/08/22</td>
<td valign="top" align="center">07/10/22</td>
<td valign="top" align="center">180</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>P. strigosa 2</italic>
</td>
<td valign="top" align="left">20/08/22</td>
<td valign="top" align="left">Ex-situ<sup>2</sup>
</td>
<td valign="top" align="center">29/08/22</td>
<td valign="top" align="center">13/10/22</td>
<td valign="top" align="center">100</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>*Larvae collected at <sup>1</sup>Biscayne National Park and <sup>2</sup>The Florida Aquarium Center for Conservation.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s2_3">
<title>Survival and settlement of coral larvae</title>
<p>Experimental coral larvae were exposed to one of three DO concentrations (1.5, 3.5, or 6 mg L<sup>-1</sup>) using settlement chambers (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>) placed in the mesocosm, with 4 replicate tanks per DO treatment (<italic>n</italic>=4). Fifty larvae from a given species were placed in each settlement chamber, and one settlement chamber for each species of coral larvae was placed in a given mesocosm tank, although different species started incubating at different times. Species-specific differences in spawning date and larval development resulted in a staggered start dates for each species. Since <italic>P. strigosa</italic> larvae were abundant they were divided into two batches (referred to as <italic>P. strigosa 1</italic> and <italic>P. strigosa 2</italic> herein), which were placed into the settlement chambers 6 days apart (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Diagram of the settlement chamber design used in this study (see also <xref ref-type="bibr" rid="B31">Kuffner et al., 2006</xref> and <xref ref-type="bibr" rid="B48">Ritson-Williams et&#xa0;al., 2020</xref>) with settlement tile and larvae placed inside. The arrow demonstrates progression of swimming larvae through to settlement and metamorphosis on the substrate tile. Chamber made from PVC plastic tubing capped with mesh at either end (100 or 180 &#xb5;m). One mesh cap can be removed to insert larvae and settlement tile into the chamber.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-10-1254965-g001.tif"/>
</fig>
<p>Settlement chambers consisted of a PVC tube (Length 10 cm, inner diameter 5.6 cm) fitted with mesh on both ends (100 &#xb5;m pore size for <italic>O. faveolata</italic> and <italic>P. strigosa 2</italic>, or 180 &#xb5;m pore size for <italic>C. natans</italic> and <italic>P. strigosa 1</italic>). Mesh was glued directly to the tube on one end of the chamber and to a removable lid on the other end (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>). For each settlement chamber, swimming larvae were selected and transferred using a pipette into transparent larval settlement chambers (described in <xref ref-type="bibr" rid="B48">Ritson-Williams et&#xa0;al., 2020</xref>) each holding a settlement tile (5 x 5 x 1 cm surface area) which had been pre-conditioned for approx. 7 weeks at a Florida Keys reef site (Wonderland Reef) and then maintained in flow through seawater at the SMS facility for approx. 3 months prior to the study. Settlement chambers were placed in mesocosms parallel to the flow of the seawater. Each mesocosm held up to four chambers, one containing each of the 3 species of coral larvae (and two for the <italic>P. strigosa</italic> larvae) (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>).</p>
<p>Three days after the chambers were placed into the mesocosms, they were removed, and the tops, bottoms, and sides of the tiles were inspected for settled larvae under dissecting microscopes. The following categories of settlement were reported: (a) settled on the tile, (b) settled on the chamber or mesh, (c) swimmers, and (d) floating metamorphosed. Mortality was assumed for missing larvae, and sometimes decomposing larvae were observed during these counts indicating mortality was occurring. For purposes of analysis, categories a-d were considered surviving larvae, and categories a-b were considered settled larvae.</p>
</sec>
<sec id="s2_4">
<title>Survival of juvenile coral recruits</title>
<p>After the initial 3-day count, settlement tiles were removed from the chambers and returned to mesocosm tanks and maintained under the same experimental (or control) oxygen treatments for 42 more days (total of 45 days). Tiles were placed onto rigid plastic mesh with 1.5 cm openings in the tanks to minimize damage to corals settled on the underside of the tile. Corals were not fed during the experiment. Tiles were removed from the tanks for counts of surviving recruits after a further 42 days of exposure to the different oxygen treatments. Surviving coral recruits were counted on tops, bottoms, and sides of the tiles under dissecting microscopes.</p>
</sec>
<sec id="s2_5">
<title>Data analysis</title>
<p>All analyses were conducted in R Programming Language with RStudio version 4.2.2 (<xref ref-type="bibr" rid="B44">R Core Team, 2021</xref>) using the packages Tidyverse (<xref ref-type="bibr" rid="B59">Wickham, 2019</xref>) and Reshape2 (<xref ref-type="bibr" rid="B57">Wickham, 2007</xref>) for data wrangling, and ggplot2 (<xref ref-type="bibr" rid="B58">Wickham, 2016</xref>) and ggpubr for data visualization (<xref ref-type="bibr" rid="B29">Kassambara, 2023</xref>). The survival of larvae and settlement rate (on day 3), and recruit survival (on day 45) were measured as a proportion of the original number of swimming larvae placed into each chamber (n=50). Rates of larval survival, larval settlement, and recruit survival were all arcsine transformed prior to the analysis to support the use of parametric tests. Assumptions of normality were assessed using histograms, QQ plots and Shapiro-Wilkes tests, and variance was found to be equal between variables based on the results of Bartlett tests. Two-way ANOVAs were used to identify significant influence of species, deoxygenation treatment, and/or the interaction of these two factors on dependent variables. The data were subset and <italic>a priori</italic> one-way ANOVAs were conducted on individual species to test the effect of dissolved oxygen treatment for each species separately. <italic>Post-hoc</italic> tests were carried out with the emmeans (<xref ref-type="bibr" rid="B32">Lenth, 2016</xref>) and agricolae packages (<xref ref-type="bibr" rid="B35">Mendiburu and Yaseen, 2020</xref>) using Tukey HSD to determine pairwise significance when ANOVA p-values were &#x2264; 0.05.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<p>After 3 days of exposure to one of three DO treatments: control (6 mg L<sup>-1</sup> DO), intermediate deoxygenation (3.5 mg L<sup>-1</sup> DO), or severe deoxygenation (1.5 mg L<sup>-1</sup> DO), overall survival (the total proportion of larvae swimming, settled, and floating metamorphosed) per species ranged between 40.2 to 75.3% of the original swimming larvae placed into the settlement chambers (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>). Hereafter, data are presented as mean percentages with standard error (mean % &#xb1; SE) of the original 50 larvae placed into each chamber, unless otherwise indicated. Deoxygenation did not have a significant effect on larval survivorship (ANOVA F<sub>1.87</sub>, <italic>p</italic> = 0.17). Species-specific differences in survival rates were significant (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>; <xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>; ANOVA F<sub>5.23</sub>, <italic>p &lt;</italic>0.005), with the greatest survival overall for a species average across DO treatments in <italic>P. strigosa 2</italic> (75.3 &#xb1; 5.7%) and the lowest in <italic>C. natans</italic> (40.2 &#xb1; 6.63%) across treatments.</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Percentage (%) of coral larvae surviving on day 3 for all species under all treatments. Survival counts include swimming larvae, settled coral recruits (both on tiles and inside of chamber), and larvae which had metamorphosed while floating in the water column. Data presented as mean percentage of the original 50 larvae placed inside each chamber. Error bars show &#xb1;1 standard error and letters show Tukey posthoc comparsions. Letters displayed over bar plots show significant differences between treatments.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-10-1254965-g002.tif"/>
</fig>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Results of 2-way ANOVA models testing treatment and species as factors affecting larval survival and settlement after 3 days of exposure, and surviving recruits after an additional 42 days of exposure to DO treatments.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="bottom" align="right">Factor(s)</th>
<th valign="bottom" align="right">df</th>
<th valign="bottom" align="right">Sum of<break/>squares</th>
<th valign="bottom" align="right">Mean sum<break/>of squares</th>
<th valign="bottom" align="right">F-value</th>
<th valign="bottom" align="right">P-value</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="top" colspan="6" align="left">Larval survival</th>
</tr>
<tr>
<td valign="top" align="right">Species</td>
<td valign="top" align="right">3</td>
<td valign="top" align="right">1.09</td>
<td valign="top" align="right">0.36</td>
<td valign="top" align="right">5.23</td>
<td valign="top" align="right">
<bold>4.22 x 10<sup>-3</sup>
</bold>
</td>
</tr>
<tr>
<td valign="top" align="right">Treatment</td>
<td valign="top" align="right">2</td>
<td valign="top" align="right">0.26</td>
<td valign="top" align="right">0.13</td>
<td valign="top" align="right">1.87</td>
<td valign="top" align="right">0.17</td>
</tr>
<tr>
<td valign="top" align="right">Species * Treatment</td>
<td valign="top" align="right">6</td>
<td valign="top" align="right">0.14</td>
<td valign="top" align="right">0.02</td>
<td valign="top" align="right">0.33</td>
<td valign="top" align="right">0.92</td>
</tr>
<tr>
<td valign="top" align="right">Residuals</td>
<td valign="top" align="right">36</td>
<td valign="top" align="right">2.51</td>
<td valign="top" align="right">0.07</td>
<td valign="top" align="right"/>
<td valign="top" align="right"/>
</tr>
<tr>
<th valign="top" colspan="6" align="left">Larval settlement</th>
</tr>
<tr>
<td valign="top" align="right">Species</td>
<td valign="top" align="right">3</td>
<td valign="top" align="right">1.15</td>
<td valign="top" align="right">0.38</td>
<td valign="top" align="right">10.86</td>
<td valign="top" align="right">
<bold>3.16 x 10<sup>-5</sup>
</bold>
</td>
</tr>
<tr>
<td valign="top" align="right">Treatment</td>
<td valign="top" align="right">2</td>
<td valign="top" align="right">0.05</td>
<td valign="top" align="right">0.02</td>
<td valign="top" align="right">0.63886</td>
<td valign="top" align="right">0.53</td>
</tr>
<tr>
<td valign="top" align="right">Species * Treatment</td>
<td valign="top" align="right">6</td>
<td valign="top" align="right">0.28</td>
<td valign="top" align="right">0.05</td>
<td valign="top" align="right">1.303514</td>
<td valign="top" align="right">0.28</td>
</tr>
<tr>
<td valign="top" align="right">Residuals</td>
<td valign="top" align="right">36</td>
<td valign="top" align="right">1.27</td>
<td valign="top" align="right">0.04</td>
<td valign="top" align="right"/>
<td valign="top" align="right"/>
</tr>
<tr>
<th valign="top" colspan="6" align="left">Recruit survival</th>
</tr>
<tr>
<td valign="top" align="right">Species</td>
<td valign="top" align="right">3</td>
<td valign="top" align="right">0.64</td>
<td valign="top" align="right">0.21</td>
<td valign="top" align="right">4.87</td>
<td valign="top" align="right">
<bold>0.01</bold>
</td>
</tr>
<tr>
<td valign="top" align="right">Treatment</td>
<td valign="top" align="right">2</td>
<td valign="top" align="right">0.41</td>
<td valign="top" align="right">0.20</td>
<td valign="top" align="right">4.63</td>
<td valign="top" align="right">
<bold>0.02</bold>
</td>
</tr>
<tr>
<td valign="top" align="right">Species * Treatment</td>
<td valign="top" align="right">6</td>
<td valign="top" align="right">0.47</td>
<td valign="top" align="right">0.08</td>
<td valign="top" align="right">1.77</td>
<td valign="top" align="right">0.13</td>
</tr>
<tr>
<td valign="top" align="right">Residuals</td>
<td valign="top" align="right">34</td>
<td valign="top" align="right">1.49</td>
<td valign="top" align="right">0.04</td>
<td valign="top" align="right"/>
<td valign="top" align="left"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>P-values &#x2264; 0.05 are in bold.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Settlement occurred in all chambers. Rates of settlement were species-specific (ANOVA F<sub>10.86</sub>, p &lt;0.0001), with no significant interaction between species and DO treatment (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>). DO treatment did not have a statistically significant effect on settlement (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>; <xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>). Settlement rates were highest in the second batch of <italic>P. strigosa</italic> in all treatments (57.3 &#xb1; 4.2%) and lowest in <italic>O. faveolata</italic> (21.3 &#xb1; 4.4%).</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Settlement of coral larvae 3 days after being placed in the settlement chambers. Settled counts are presented as percentage (%) of initial 50 larvae. Settled counts include coral recruits counted both on settlement tiles and chamber interiors. A two-way ANOVA found that only species had p-value &lt;0.05, full output in <xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>. Letters above bars are Tukey post-hoc tests conducted on each species. Error bars show &#xb1; 1 standard error.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-10-1254965-g003.tif"/>
</fig>
<p>At the 45-day timepoint, both DO treatment and species had significant effects on the number of surviving recruits, with no significant interaction between these factors (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>). Recruit counts were lowest in <italic>C. natans</italic> and <italic>O. faveolata</italic> exposed to severe deoxygenation (1.5 mg L<sup>-1</sup> DO), with 13.5 &#xb1; 6.0% and 2.5 &#xb1; 2.5% of the original larvae surviving as recruits (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>). DO concentration did not have a significant effect on <italic>P. strigosa</italic> recruit survival in either batch. The highest number of recruits counted in any treatment were <italic>P. strigosa 2</italic> exposed to intermediate (3.5 mg L<sup>-1</sup> DO) deoxygenation, with 45.5 &#xb1; 5.3% recruit survival. Differences between species in the control treatment (6 mg L<sup>-1</sup> DO) were not significant. In the intermediate deoxygenation treatment (3.5 mg L<sup>-1</sup> DO), recruit survival was similar between <italic>C. natans, O. faveolata</italic>, and <italic>P. strigosa</italic> (batch 1 and 2). The difference in recruit survival at 45 days between intermediate deoxygenation and control treatments was not significant in any species. In some cases, the number of recruits counted on a tile on day 45 was higher than settlers counted on day 3. This occurred primarily in control and intermediate treatments only, except for 1 severe deoxygenation tile with <italic>C. natans</italic>, in which 12 settled corals were counted on day 3 and 14 recruits on day 45.</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Coral recruit survival after 42 days of post-settlement deoxygenation exposure (45 days total including 3 days of exposure during larval phase) presented as % of initial 50 larvae placed in each chamber. A two-way ANOVA found that both species and treatment had p-value &lt;0.05. <italic>C. natans</italic> and <italic>O. faveolata</italic> showed lower recruit survival in the 1.5 mg L<sup>-1</sup> DO treatment than <italic>P. strigosa</italic>, which was not affected by deoxygenation treatment. Error bars show &#xb1; 1 standard error and letters above bars show Tukey <italic>post-hoc</italic> tests conducted on each species. ANOVA results are in <xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-10-1254965-g004.tif"/>
</fig>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>In this study, recruit survival was lowest in <italic>C. natans</italic> and <italic>O. faveolata</italic> exposed to severe deoxygenation. However, deoxygenation did not reduce <italic>P. strigosa</italic> survival. For all species, larval survival and settlement rates were not impacted by exposure to 3 days of deoxygenation. Despite its importance as an emerging threat for coral reefs, information about the impact of deoxygenation on different coral species and early life stages is limited. Indeed, to the best of our knowledge, this is the first study to directly measure survival and settlement of coral larvae and recruits in <italic>C. natans</italic>, <italic>O. faveolata</italic>, and <italic>P. strigosa</italic> exposed to persistent deoxygenation.</p>
<sec id="s4_1">
<title>Survival and settlement of coral larvae under deoxygenation</title>
<p>Neither intermediate (3.5 mg L<sup>-1</sup>) nor severe (1.5 mg L<sup>-1</sup>) deoxygenation had a significant effect on larval survival (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>). Since coral larvae contain high lipid content and endogenous reserves to support many days or weeks of pre-settlement swimming, our findings imply that larvae are able to maintain sufficient metabolic rates such that oxygen availability at the concentrations we tested are not a strong factor for their survival. There were no prior studies quantifying the impact of deoxygenation on these species at the larval phase for comparison, but our results support previous findings with <italic>Acropora</italic> spp. that larval survival was not reduced in response to deoxygenation (<xref ref-type="bibr" rid="B4">Alderdice et&#xa0;al., 2022</xref>). Thermal stress has been shown to increase larval respiration in <italic>O. faveolata</italic> (<xref ref-type="bibr" rid="B50">Serrano et&#xa0;al., 2018</xref>), and there are no studies on respiration in <italic>C. natans</italic> larvae for comparison.</p>
<p>Similar to larval survival rates, we found that larval settlement rates were not significantly driven by deoxygenation conditions. This appears to run contrary to previous findings that coral larvae preferred to settle in water with a higher concentration of DO and actively avoided low-DO conditions for settlement (<xref ref-type="bibr" rid="B28">Jorissen and Nugues, 2021</xref>). It may be that when there is a choice, coral larvae prefer to settle in ambient DO concentrations but given only one option they will nevertheless settle under low DO conditions within a similar time frame.</p>
<p>Rates of larval survival and settlement were different between species, with the highest settlement and survival consistently observed <italic>in P. strigosa</italic> across all DO treatments. <italic>P. strigosa</italic> recruits have survived over longer timeframes than other spawning Caribbean coral species in recruitment experiments (<xref ref-type="bibr" rid="B47">Ritson-Williams et&#xa0;al., 2016</xref>), and it is one of the species predicted to increase in abundance as environmental conditions change (<xref ref-type="bibr" rid="B16">Edmunds, 2010</xref>). Our study identifies yet another stress (deoxygenation) to which they are more resilient, suggesting they are likely to play an increasingly important role on reefs of the future and should be a target of restoration activities. The second batch of <italic>P. strigosa</italic> had the highest rates of larval survival (&gt;70% of larvae) and settlement (&gt;50%) across treatments. The chambers used for <italic>P. strigosa 2</italic> had a smaller gauge mesh than chambers used for <italic>P. strigosa 1</italic> (100 &#xb5;m compared to 180 &#xb5;m, respectively), which could have impacted the results, however there was no evidence (no swimming or settled larval found outside of the mesh barrier) that larvae had escaped the larger mesh size used for <italic>P. strigosa 1</italic>. The differences between the two batches of <italic>P. strigosa</italic> were likely due to the difference in age of <italic>P. strigosa 2</italic> compared to <italic>P. strigosa 1</italic>; the larvae of the two batches were produced at the same time and maintained under the same conditions, however there were 6 days between placing each batch into the settlement chambers, which may have influenced settlement behavior and sensitivity to environmental cues. Prior work has revealed increased mortality at early and late stages of the larval phase (<xref ref-type="bibr" rid="B17">Graham et&#xa0;al., 2008</xref>), and our results suggest likewise that coral larvae are more sensitive to hypoxic stress earlier in their development. This is also further evidence that depletion of energy reserves is not the primary factor limiting tolerance to deoxygenation as older corals with lower remaining reserves would be expected to be more sensitive to deoxygenation if that were the case.</p>
</sec>
<sec id="s4_2">
<title>Recruit survival</title>
<p>Survival of <italic>C. natans</italic> and <italic>O. faveolata</italic> recruits exposed to 45 days of severe deoxygenation treatment (1.5 mg L<sup>-1</sup>) was reduced in comparison to control and intermediate deoxygenation, indicating higher sensitivity to deoxygenation in these species than <italic>P. strigosa</italic>, which exhibited no difference in survivorship between treatments. Since this sensitivity was not observable at the larval stage, it is possible that the acquisition of symbionts impacted tolerance to deoxygenation. The larvae used in this study were asymbiotic, therefore their energetic needs were met entirely by maternal reserves and through respiration until symbionts were acquired after recruitment had taken place. Recruits with symbionts likely acquired their symbionts from conditioned tiles since no adult corals were placed in the mesocosms. Since respiration relies upon the availability of O<sub>2</sub>, it is possible that <italic>C. natans</italic> and <italic>O. faveolata</italic> recruits have higher respiratory needs than <italic>P. strigosa</italic>, which did not exhibit any reduction in settlement nor recruit survival in response to deoxygenation. In the current study, almost all <italic>O. faveolata</italic> recruits (97.5 &#xb1; 2.5% of original larvae) had died after 45 days of exposure to deoxygenation. This aligns with previous findings that respiration rates in <italic>O. faveolata</italic> colonies were reduced in response to severe deoxygenation (<xref ref-type="bibr" rid="B18">Gravinese et&#xa0;al., 2022</xref>). One potential mechanism driving variable hypoxia response could be the micro-scale dynamics of oxygen exchange, which take place inside the DBL. The speed of molecular oxygen transfer is controlled by coral surface area, DBL thickness, and water flow rate (<xref ref-type="bibr" rid="B51">Shashar et&#xa0;al., 1993</xref>; <xref ref-type="bibr" rid="B52">Shashar et&#xa0;al., 1996</xref>; <xref ref-type="bibr" rid="B33">Mass et&#xa0;al., 2011</xref>). Metabolism increases with flow rate (<xref ref-type="bibr" rid="B40">Patterson et&#xa0;al., 1991</xref>; <xref ref-type="bibr" rid="B34">Mass et&#xa0;al., 2010</xref>), and it is possible that reduced water velocity inside settlement chambers may have slowed oxygen transfer for respiratory processes of asymbiotic larvae in this study. However, measuring water flow inside the settlement chambers was not possible within the constraints of our study and instrument capacity. Future research should target such knowledge gaps to better understand the micro-scale fluctuations in DBL oxygen dynamics and their role in hypoxia response.</p>
<p>In some cases, apparent increases in the number of recruits between initial settlement and 42-days post-settlement were observed, likely due to difficulty with finding the smallest recruits on tiles immediately after settlement. After 42 days of development, the coral recruits were slightly larger and had acquired symbionts based on observations of the color of the recruits, which made them more visible. Additionally, crevices are one of the preferred settlement micro-habitats for coral larvae, and recruits settled within a crevice on the tile may have been missed on the first count on day 3 but became visible as tentacles were extended by day 45. For this reason, we did not analyze change over time for given replicates, instead we compared differences among species and treatments in larval survival, settlement, and recruit survivorship for a given time point. We assume that the rate of error was the same within each species, although we interpret the data with the caveat that our findings may indicate an underestimation of initial settlement rates, and therefore the real rate of reduction in recruits over time.</p>
</sec>
<sec id="s4_3">
<title>Tolerance thresholds are species-specific and life stage dependent</title>
<p>Our study complements prior research on coral tolerance to deoxygenation by providing additional life history stages to species that were previously examined. The reduced survival of 45-day-old <italic>O. faveolata</italic> recruits exposed to 1.5 mg L<sup>-1</sup> DO (2.5 &#xb1; 2.5%) in comparison with control and intermediate deoxygenation treatments (22.5 &#xb1; 4.5 and 26 &#xb1; 7.55%, respectively) contributes to previous results investigating the impact of low-DO on adult <italic>O. faveolata</italic> corals. In <xref ref-type="bibr" rid="B27">Johnson et&#xa0;al. (2021b)</xref>, adult colonies of <italic>O. faveolata</italic> were tolerant to severe deoxygenation over 11 days with no signs of bleaching or mortality, indicating that exposure time may play a critical role in hypoxia response, and that this may also vary at different life history stages within coral species. Since intermediate deoxygenation (3.5 mg L<sup>-1</sup> DO) did not significantly impact recruit survival in our study, we infer that the threshold for <italic>C. natans</italic> and <italic>O. faveolata</italic> at the recruit stage lies somewhere between intermediate and severe deoxygenation categories (1.5 and 3.5 mg L<sup>-1</sup> DO). More research is needed to explore the interaction between coral life history and hypoxia response.</p>
<p>As mass coral bleaching and mortality events have increased over recent decades, the importance of recruitment is critical to coral population recovery and resilience (<xref ref-type="bibr" rid="B23">Hughes et&#xa0;al., 2019</xref>). The current study is one of the first to look at this critical demographic bottleneck with both larval survival and post-settlement early recruit survival under low-DO conditions. Our results indicate that studies looking at larval survival and settlement over limited timescales of hours to days may underestimate the effects of longer-term exposure deoxygenation events (for example, 45 days in the current study) on the survival of coral recruits, and so longer-term studies are needed to better understand the potential for deoxygenation to impede ecosystem recovery (<xref ref-type="bibr" rid="B1">Adelson et&#xa0;al., 2022</xref>). With the current focus on enhancing and upscaling reef restoration efforts and increasing the yield of assisted fertilization efforts for endangered coral species, there is a critical need to improve understanding of the oxygen requirements for different species of coral larvae and early juvenile recruits. Rearing of larvae and recruits for reef restoration currently lacks information on the optimum DO conditions for settlement and survivorship, and the findings of such studies on deoxygenation will be important to guide restoration protocols. For example, our study would suggest that juvenile coral rearing tanks should be designed to meet species-specific oxygen requirements to reduce the risk of recruit mortality.</p>
</sec>
</sec>
<sec id="s5" sec-type="conclusions">
<title>Conclusions</title>
<p>While settlement and survivorship of larvae were not significantly affected by intermediate nor severe deoxygenation, recruit survival over 45 days was reduced in two of the species tested. <italic>C. natans</italic> and <italic>O. faveolata</italic> are both endangered, yet ecologically important species in the Caribbean region, and this study found that longer-term exposure to deoxygenation reduced juvenile recruit survival. This could have significant implications for the ability of coral larvae to settle and form new colonies and suggests that deoxygenation may be excluding such coral species from some habitats, by acting as demographic bottleneck at the recruit stage, even in the absence of dead adult colonies, which are typically the most recognized evidence for hypoxic stress. Conversely, no difference in recruit survival was observed between deoxygenation treatments in <italic>P. strigosa</italic> which appears to be a hardy species that is resilient to low oxygen stress. More research incorporating different coral species, life stages, and deoxygenation exposure durations is needed to better understand the mechanisms by which ocean deoxygenation affects corals and to develop strategies to mitigate its impacts.</p>
</sec>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>Data is available at Figshare DOI: 10.6084/m9.figshare.24161937.</p>
</sec>
<sec id="s7" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The manuscript presents research on animals that do not require ethical approval for their study.</p>
</sec>
<sec id="s8" sec-type="author-contributions">
<title>Author contributions</title>
<p>JM: Investigation, Methodology, Software, Supervision, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing, Conceptualization, Data curation, Formal Analysis, Funding acquisition. AD: Data curation, Investigation, Methodology, Writing &#x2013; review &amp; editing. JS: Investigation, Methodology, Writing &#x2013; review &amp; editing. LN: Data curation, Investigation, Methodology, Writing &#x2013; review &amp; editing. CD: Writing &#x2013; review &amp; editing, Investigation, Methodology. AA: Funding acquisition, Project administration, Resources, Writing &#x2013; review &amp; editing. VP: Conceptualization, Funding acquisition, Investigation, Methodology, Project administration, Resources, Supervision, Writing &#x2013; review &amp; editing. MJ: Conceptualization, Funding acquisition, Investigation, Methodology, Project administration, Resources, Supervision, Writing &#x2013; review &amp; editing.</p>
</sec>
</body>
<back>
<sec id="s9" sec-type="funding-information">
<title>Funding</title>
<p>This project was funded by the Link Foundation to JM and Smithsonian Marine Station postdoctoral fellowship awards to JM and AD; funds from the University of Glasgow-Smithsonian mobility award, the US-UK Fulbright Commission, and the Coral Conservation Society to JM; and an award from the National Oceanic and Atmospheric Administration&#x2019;s National Centers for Coastal Ocean Science Competitive Research Program to AA, MJ, and VP (NA18NOS4780170) through the University of Florida.</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>The authors thank Samantha Scheibler, Sara Swaminathan, Woody Lee, Carolina Melendez Declet, Natalie Danek, and Cassady Dougan for their technical expertise and support setting up and maintaining the larval experiments and mesocosms. Keri O&#x2019;Neil (Florida Aquarium Center for Conservation) and Amanda Bourque (Biscayne National Park) provided larvae used for this study. Ilsa Kuffner, Andrew Bruckner, Thomas Moore, John Hunt, Kimberly Puglise, and Elizabeth Shaver provided feedback and advice on experimental design. Thank you to Leona Kustra for proofreading the article. Research was conducted under permit FKNMS-2018-129 to AA from the Office of National Marine Sanctuaries, Biscayne National Park permit #BISC-2021-SCI-0015 to VP for <italic>O. faveolata</italic> larvae, and conditioning of tiles in the field was conducted under permit FKNMS-2019-24 to JS. This is contribution #264 from the Coastal Hypoxia Research Program and #1200 from the Smithsonian Marine Station at Ft. Pierce.</p>
</ack>
<sec id="s10" 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="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.2023.1254965/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fmars.2023.1254965/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="DataSheet_1.csv" id="SM1" mimetype="text/csv"/>
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