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<front>
<journal-meta>
<journal-id journal-id-type="nlm-ta">PLOS Clim</journal-id>
<journal-id journal-id-type="publisher-id">plos</journal-id>
<journal-id journal-id-type="pmc">plosclimate</journal-id>
<journal-title-group>
<journal-title>PLOS Climate</journal-title>
</journal-title-group>
<issn pub-type="epub">2767-3200</issn>
<publisher>
<publisher-name>Public Library of Science</publisher-name>
<publisher-loc>San Francisco, CA USA</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.1371/journal.pclm.0000142</article-id>
<article-id pub-id-type="publisher-id">PCLM-D-22-00140</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Research Article</subject>
</subj-group>
<subj-group subj-group-type="Discipline-v3">
<subject>Physical sciences</subject><subj-group><subject>Chemistry</subject><subj-group><subject>Chemical compounds</subject><subj-group><subject>Carbon dioxide</subject></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3">
<subject>Ecology and environmental sciences</subject><subj-group><subject>Aquatic environments</subject><subj-group><subject>Marine environments</subject><subj-group><subject>Sea water</subject></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3">
<subject>Earth sciences</subject><subj-group><subject>Marine and aquatic sciences</subject><subj-group><subject>Aquatic environments</subject><subj-group><subject>Marine environments</subject><subj-group><subject>Sea water</subject></subj-group></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3">
<subject>Biology and life sciences</subject><subj-group><subject>Physiology</subject><subj-group><subject>Physiological parameters</subject><subj-group><subject>Body weight</subject></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3">
<subject>Research and analysis methods</subject><subj-group><subject>Bioassays and physiological analysis</subject><subj-group><subject>Metabolic analysis</subject><subj-group><subject>Basal metabolic rate measurement</subject></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3">
<subject>Biology and life sciences</subject><subj-group><subject>Organisms</subject><subj-group><subject>Eukaryota</subject><subj-group><subject>Animals</subject><subj-group><subject>Invertebrates</subject><subj-group><subject>Molluscs</subject><subj-group><subject>Bivalves</subject></subj-group></subj-group></subj-group></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3">
<subject>Biology and life sciences</subject><subj-group><subject>Zoology</subject><subj-group><subject>Animals</subject><subj-group><subject>Invertebrates</subject><subj-group><subject>Molluscs</subject><subj-group><subject>Bivalves</subject></subj-group></subj-group></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3">
<subject>Earth sciences</subject><subj-group><subject>Marine and aquatic sciences</subject><subj-group><subject>Oceanography</subject><subj-group><subject>Ocean temperature</subject></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3">
<subject>Biology and life sciences</subject><subj-group><subject>Zoology</subject><subj-group><subject>Fish biology</subject><subj-group><subject>Fish physiology</subject></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3">
<subject>Biology and life sciences</subject><subj-group><subject>Zoology</subject><subj-group><subject>Animal physiology</subject><subj-group><subject>Vertebrate physiology</subject><subj-group><subject>Fish physiology</subject></subj-group></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3">
<subject>Biology and life sciences</subject><subj-group><subject>Biochemistry</subject><subj-group><subject>Bioenergetics</subject></subj-group></subj-group></subj-group></article-categories>
<title-group>
<article-title>Juvenile Atlantic sea scallop, <italic>Placopecten magellanicus</italic>, energetic response to increased carbon dioxide and temperature changes</article-title>
<alt-title alt-title-type="running-head">Atlantic sea scallop energetics carbon dioxide and temperature changes</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes" xlink:type="simple">
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<surname>Pousse</surname>
<given-names>Emilien</given-names>
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<role content-type="http://credit.niso.org/contributor-roles/conceptualization/">Conceptualization</role>
<role content-type="http://credit.niso.org/contributor-roles/formal-analysis/">Formal analysis</role>
<role content-type="http://credit.niso.org/contributor-roles/investigation/">Investigation</role>
<role content-type="http://credit.niso.org/contributor-roles/methodology/">Methodology</role>
<role content-type="http://credit.niso.org/contributor-roles/writing-review-editing/">Writing – review &amp; editing</role>
<xref ref-type="aff" rid="aff001"><sup>1</sup></xref>
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<contrib contrib-type="author" xlink:type="simple">
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<surname>Poach</surname>
<given-names>Matthew E.</given-names>
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<role content-type="http://credit.niso.org/contributor-roles/formal-analysis/">Formal analysis</role>
<role content-type="http://credit.niso.org/contributor-roles/funding-acquisition/">Funding acquisition</role>
<role content-type="http://credit.niso.org/contributor-roles/investigation/">Investigation</role>
<role content-type="http://credit.niso.org/contributor-roles/methodology/">Methodology</role>
<role content-type="http://credit.niso.org/contributor-roles/writing-review-editing/">Writing – review &amp; editing</role>
<xref ref-type="aff" rid="aff002"><sup>2</sup></xref>
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<contrib contrib-type="author" xlink:type="simple">
<name name-style="western">
<surname>Redman</surname>
<given-names>Dylan H.</given-names>
</name>
<role content-type="http://credit.niso.org/contributor-roles/investigation/">Investigation</role>
<role content-type="http://credit.niso.org/contributor-roles/methodology/">Methodology</role>
<role content-type="http://credit.niso.org/contributor-roles/writing-review-editing/">Writing – review &amp; editing</role>
<xref ref-type="aff" rid="aff002"><sup>2</sup></xref>
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<contrib contrib-type="author" xlink:type="simple">
<name name-style="western">
<surname>Sennefelder</surname>
<given-names>George</given-names>
</name>
<role content-type="http://credit.niso.org/contributor-roles/investigation/">Investigation</role>
<role content-type="http://credit.niso.org/contributor-roles/methodology/">Methodology</role>
<role content-type="http://credit.niso.org/contributor-roles/writing-review-editing/">Writing – review &amp; editing</role>
<xref ref-type="aff" rid="aff002"><sup>2</sup></xref>
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<contrib contrib-type="author" xlink:type="simple">
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<given-names>William</given-names>
</name>
<role content-type="http://credit.niso.org/contributor-roles/investigation/">Investigation</role>
<role content-type="http://credit.niso.org/contributor-roles/writing-review-editing/">Writing – review &amp; editing</role>
<xref ref-type="aff" rid="aff003"><sup>3</sup></xref>
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<contrib contrib-type="author" xlink:type="simple">
<name name-style="western">
<surname>Osborne</surname>
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<role content-type="http://credit.niso.org/contributor-roles/investigation/">Investigation</role>
<role content-type="http://credit.niso.org/contributor-roles/writing-review-editing/">Writing – review &amp; editing</role>
<xref ref-type="aff" rid="aff003"><sup>3</sup></xref>
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<contrib contrib-type="author" xlink:type="simple">
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<surname>Munroe</surname>
<given-names>Daphne</given-names>
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<role content-type="http://credit.niso.org/contributor-roles/funding-acquisition/">Funding acquisition</role>
<role content-type="http://credit.niso.org/contributor-roles/writing-review-editing/">Writing – review &amp; editing</role>
<xref ref-type="aff" rid="aff004"><sup>4</sup></xref>
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<contrib contrib-type="author" xlink:type="simple">
<name name-style="western">
<surname>Hart</surname>
<given-names>Deborah</given-names>
</name>
<role content-type="http://credit.niso.org/contributor-roles/funding-acquisition/">Funding acquisition</role>
<role content-type="http://credit.niso.org/contributor-roles/writing-review-editing/">Writing – review &amp; editing</role>
<xref ref-type="aff" rid="aff005"><sup>5</sup></xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple">
<name name-style="western">
<surname>Hennen</surname>
<given-names>Daniel</given-names>
</name>
<role content-type="http://credit.niso.org/contributor-roles/funding-acquisition/">Funding acquisition</role>
<role content-type="http://credit.niso.org/contributor-roles/writing-review-editing/">Writing – review &amp; editing</role>
<xref ref-type="aff" rid="aff005"><sup>5</sup></xref>
</contrib>
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<name name-style="western">
<surname>Dixon</surname>
<given-names>Mark S.</given-names>
</name>
<role content-type="http://credit.niso.org/contributor-roles/investigation/">Investigation</role>
<role content-type="http://credit.niso.org/contributor-roles/writing-review-editing/">Writing – review &amp; editing</role>
<xref ref-type="aff" rid="aff002"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple">
<name name-style="western">
<surname>Li</surname>
<given-names>Yaqin</given-names>
</name>
<role content-type="http://credit.niso.org/contributor-roles/funding-acquisition/">Funding acquisition</role>
<role content-type="http://credit.niso.org/contributor-roles/writing-review-editing/">Writing – review &amp; editing</role>
<xref ref-type="aff" rid="aff002"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple">
<name name-style="western">
<surname>Milke</surname>
<given-names>Lisa M.</given-names>
</name>
<role content-type="http://credit.niso.org/contributor-roles/funding-acquisition/">Funding acquisition</role>
<role content-type="http://credit.niso.org/contributor-roles/writing-review-editing/">Writing – review &amp; editing</role>
<xref ref-type="aff" rid="aff002"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple">
<name name-style="western">
<surname>Wikfors</surname>
<given-names>Gary H.</given-names>
</name>
<role content-type="http://credit.niso.org/contributor-roles/funding-acquisition/">Funding acquisition</role>
<role content-type="http://credit.niso.org/contributor-roles/writing-review-editing/">Writing – review &amp; editing</role>
<xref ref-type="aff" rid="aff002"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes" equal-contrib="yes" xlink:type="simple">
<contrib-id authenticated="true" contrib-id-type="orcid">https://orcid.org/0000-0003-2062-8789</contrib-id>
<name name-style="western">
<surname>Meseck</surname>
<given-names>Shannon L.</given-names>
</name>
<role content-type="http://credit.niso.org/contributor-roles/conceptualization/">Conceptualization</role>
<role content-type="http://credit.niso.org/contributor-roles/data-curation/">Data curation</role>
<role content-type="http://credit.niso.org/contributor-roles/formal-analysis/">Formal analysis</role>
<role content-type="http://credit.niso.org/contributor-roles/funding-acquisition/">Funding acquisition</role>
<role content-type="http://credit.niso.org/contributor-roles/investigation/">Investigation</role>
<role content-type="http://credit.niso.org/contributor-roles/methodology/">Methodology</role>
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<role content-type="http://credit.niso.org/contributor-roles/resources/">Resources</role>
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<role content-type="http://credit.niso.org/contributor-roles/validation/">Validation</role>
<role content-type="http://credit.niso.org/contributor-roles/visualization/">Visualization</role>
<role content-type="http://credit.niso.org/contributor-roles/writing-original-draft/">Writing – original draft</role>
<role content-type="http://credit.niso.org/contributor-roles/writing-review-editing/">Writing – review &amp; editing</role>
<xref ref-type="aff" rid="aff002"><sup>2</sup></xref>
<xref ref-type="corresp" rid="cor001">*</xref>
</contrib>
</contrib-group>
<aff id="aff001"><label>1</label> <addr-line>National Research Council Postdoctoral Associate at NOAA NMFS, Milford, CT, United States of America</addr-line></aff>
<aff id="aff002"><label>2</label> <addr-line>NOAA/NMFS, Milford, CT, United States of America</addr-line></aff>
<aff id="aff003"><label>3</label> <addr-line>Massachusetts Maritime Academy, Buzzards Bay, MA, United States of America</addr-line></aff>
<aff id="aff004"><label>4</label> <addr-line>Haskin Shellfish Research Laboratory, Rutgers University, Port Norris, NJ, United States of America</addr-line></aff>
<aff id="aff005"><label>5</label> <addr-line>NOAA/NMFS, Woods Hole, MA, United States of America</addr-line></aff>
<contrib-group>
<contrib contrib-type="editor" xlink:type="simple">
<name name-style="western">
<surname>Benkeblia</surname>
<given-names>Noureddine</given-names>
</name>
<role>Editor</role>
<xref ref-type="aff" rid="edit1"/>
</contrib>
</contrib-group>
<aff id="edit1"><addr-line>University of the West Indies, JAMAICA</addr-line></aff>
<author-notes>
<fn fn-type="conflict" id="coi001">
<p>The authors have declared that no competing interest exist.</p>
</fn>
<corresp id="cor001">* E-mail: <email xlink:type="simple">Shannon.Meseck@noaa.gov</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>22</day>
<month>2</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>2</volume>
<issue>2</issue>
<elocation-id>e0000142</elocation-id>
<history>
<date date-type="received">
<day>15</day>
<month>9</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>3</day>
<month>1</month>
<year>2023</year>
</date>
</history>
<permissions>
<license xlink:href="https://creativecommons.org/publicdomain/zero/1.0/" xlink:type="simple">
<license-p>This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/publicdomain/zero/1.0/" xlink:type="simple">Creative Commons CC0</ext-link> public domain dedication.</license-p>
</license>
</permissions>
<self-uri content-type="pdf" xlink:href="info:doi/10.1371/journal.pclm.0000142"/>
<abstract>
<p>This study assessed the energy budget for juvenile Atlantic Sea Scallop, <italic>Placopecten magellanicus</italic>, during a natural drop in temperature (15.6°C to 5.8°C) over an 8-week time period during the fall at three different enrichment levels of carbon dioxide (CO<sub>2</sub>). Every 2 weeks, individuals were sampled for ecophysiological measurements of feeding activity, respiration rate (RR) and excretion rate (ER) to enable the calculation of scope for growth (SFG) and atomic oxygen:nitrogen ratios (O:N). In addition, 36 individuals per treatment were removed for shell height, dry tissue weight (DTW) and dry shell weight (DSW). We found a significant decrease in feeding rates as CO<sub>2</sub> increased. Those rates also were significantly affected by temperature, with highest feeding at 9.4°C. No significant CO<sub>2</sub> effect was observed for catabolic energy processes (RR and ER); however, these rates did increase significantly with temperature. The O:N ratio was not significantly affected by CO<sub>2</sub>, but was significantly affected by temperature. There was a significant interaction between CO<sub>2</sub> and temperature for ER and the O:N ratio, with low CO<sub>2</sub> levels resulting in a U-shaped response that was not sustained as CO<sub>2</sub> levels increased. This suggests that the independent effects of CO<sub>2</sub> and temperature observed at low levels are different once a CO<sub>2</sub> threshold is reached. Additionally, there were significant differences in growth estimators (shell height and DSW), with the best growth occurring at the lowest CO<sub>2</sub> level. In contrast to temperature variations that induced a trade-off response in energy acquisition and expenditure, results from this research support the hypothesis that sea scallops have a limited ability to alter physiological processes to compensate for increasing CO<sub>2</sub>.</p>
</abstract>
<funding-group>
<award-group id="award001">
<funding-source>
<institution-wrap>
<institution-id institution-id-type="funder-id">http://dx.doi.org/10.13039/100018228</institution-id>
<institution>Ocean Acidification Program</institution>
</institution-wrap>
</funding-source>
<award-id>Project # 17911</award-id>
<principal-award-recipient>
<contrib-id authenticated="true" contrib-id-type="orcid">https://orcid.org/0000-0003-2062-8789</contrib-id>
<name name-style="western">
<surname>Meseck</surname>
<given-names>Shannon L.</given-names>
</name>
</principal-award-recipient>
</award-group>
<funding-statement>The work was supported by the National Ocean and Atmospheric Administration, Ocean Acidification Program (# 17911 to SM). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. None of the authors received a salary from the National Ocean and Atmospheric Administration Ocean Acidification Program.</funding-statement>
</funding-group>
<counts>
<fig-count count="4"/>
<table-count count="4"/>
<page-count count="24"/>
</counts>
<custom-meta-group>
<custom-meta id="data-availability">
<meta-name>Data Availability</meta-name>
<meta-value>The data can be accessed via NOAA National Center for Environmental Information (NCEI) at <ext-link ext-link-type="uri" xlink:href="https://www.ncei.noaa.gov/archive/accession/0276024" xlink:type="simple">https://www.ncei.noaa.gov/archive/accession/0276024</ext-link>.</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec id="sec001" sec-type="intro">
<title>Introduction</title>
<p>The Atlantic Sea Scallop, <italic>Placopecten magellanicus</italic>, with a habitat ranging from the Gulf of St. Lawrence, Canada to Cape Hatteras, North Carolina [<xref ref-type="bibr" rid="pclm.0000142.ref001">1</xref>], sustains the largest wild scallop fishery in the world valued at $484 million dollars in 2020 (US dollars; NMFS, 2022 <ext-link ext-link-type="uri" xlink:href="https://www.fisheries.noaa.gov/foss/f?p=215:200:2854050186896:Mail:NO" xlink:type="simple">https://www.fisheries.noaa.gov/foss/f?p=215:200:2854050186896:Mail:NO</ext-link>:::). Sea scallops are long-lived (up to 20 years), and growth rate and distribution are highly sensitive to changes in oceanic conditions [<xref ref-type="bibr" rid="pclm.0000142.ref002">2</xref>,<xref ref-type="bibr" rid="pclm.0000142.ref003">3</xref>]. For this reason, ocean acidification (OA) and warming, which are occurring in sea scallop habitat [<xref ref-type="bibr" rid="pclm.0000142.ref002">2</xref>,<xref ref-type="bibr" rid="pclm.0000142.ref004">4</xref>,<xref ref-type="bibr" rid="pclm.0000142.ref005">5</xref>], are being monitored.</p>
<p>From 2007 to 2015, dissolved CO<sub>2</sub> increased by 2.5% in waters of the Northeast US Continental Shelf [<xref ref-type="bibr" rid="pclm.0000142.ref006">6</xref>]. Sea scallop habitat on the continental shelf from Virginia to Maine has high variability in ρCO<sub>2</sub>, both spatially (increased acidification northward) and seasonally (lowest values during winter and highest values in summer [<xref ref-type="bibr" rid="pclm.0000142.ref007">7</xref>,<xref ref-type="bibr" rid="pclm.0000142.ref008">8</xref>]). Gulf of Maine waters, including Georges Bank, a highly productive sea scallop habitat, have seasonal ρCO<sub>2</sub> concentrations as high as ~500–800 μatm [<xref ref-type="bibr" rid="pclm.0000142.ref008">8</xref>]; whereas, the southern portion of the Northeast Continental Shelf ranges from 400 to 700 μatm [<xref ref-type="bibr" rid="pclm.0000142.ref008">8</xref>,<xref ref-type="bibr" rid="pclm.0000142.ref009">9</xref>]. Higher-latitude and colder waters have a higher ρCO<sub>2</sub> baseline. Discrete measurements and model projections indicate that some portions of the Northeast US Continental Shelf region already have reached global ocean projections for 2100 (720–1000 ppm), and the rest of the region should reach it by 2100 [<xref ref-type="bibr" rid="pclm.0000142.ref010">10</xref>,<xref ref-type="bibr" rid="pclm.0000142.ref011">11</xref>]. In addition to seawater acidification, ocean temperatures are increasing for this area, with long-term (1968–2018) analyses reporting that bottom water temperatures increased at a rate of 0.306°C decade<sup>-1</sup>, while the short-term (2004–2018) temperature increase was 1.269°C decade<sup>-1</sup> [<xref ref-type="bibr" rid="pclm.0000142.ref012">12</xref>]. This increase in temperature for sea scallop habitat in this region is 3 times faster than the global average [<xref ref-type="bibr" rid="pclm.0000142.ref012">12</xref>–<xref ref-type="bibr" rid="pclm.0000142.ref014">14</xref>]. These potential changes to Atlantic sea scallop habitat have resulted in classification of this species as highly vulnerable to projected OA and warming conditions [<xref ref-type="bibr" rid="pclm.0000142.ref005">5</xref>].</p>
<p>The bioenergetics status of a bivalve can be assessed by calculating the “scope for growth” (SFG, [<xref ref-type="bibr" rid="pclm.0000142.ref015">15</xref>,<xref ref-type="bibr" rid="pclm.0000142.ref016">16</xref>]). This estimator is based upon mathematical expressions that incorporate feeding functions such as clearance rate (CR, the volume of water totally filtered per time unit) and assimilation efficiency (AE, the fraction of organic matter consumed that is assimilated), and food availability to calculate the energy intake. Energy expenditures are estimated through respiration (RR) and excretion rates (ER) that are used to determine the catabolized energy. The subtraction of this catabolized energy from the energy intake is the SFG. Following the assumption that overall energy fluxes can be summarized through this energy intake and those two energy expenditures, positive SFG values are obtained under favorable conditions, but negative values prohibit growth and result in utilization of body reserves to maintain homeostasis. SFG provides instantaneous and quantitative responses about how organisms may respond to environment changes [<xref ref-type="bibr" rid="pclm.0000142.ref017">17</xref>–<xref ref-type="bibr" rid="pclm.0000142.ref019">19</xref>]. For example, if SFG values decrease but catabolized energy inputs stay the same, feeding functions would be altered, suggesting that either less phytoplankton may be available or that clearance rates and/or assimilation may be affected by a given stressor. SFG has previously been used in bivalve research to provide an instantaneous physiological indicator of response to current environmental conditions and provides insight into the underlying mechanisms of growth [<xref ref-type="bibr" rid="pclm.0000142.ref016">16</xref>,<xref ref-type="bibr" rid="pclm.0000142.ref020">20</xref>,<xref ref-type="bibr" rid="pclm.0000142.ref021">21</xref>].</p>
<p>The physiological measurements used to calculate SFG can contribute to the parametrization of models supporting short- and long-term forecasting for expected responses of marine bivalves to OA and warming. Recently, three models have been generated to project the effects of OA upon the sea scallop [<xref ref-type="bibr" rid="pclm.0000142.ref002">2</xref>,<xref ref-type="bibr" rid="pclm.0000142.ref004">4</xref>,<xref ref-type="bibr" rid="pclm.0000142.ref022">22</xref>]. All three of these models project that sea scallop biomass could be reduced by 50–80% under future RCP8.5 scenarios; however, these simulations are qualified by acknowledgements that current data on sea scallop biology are insufficient. For example, Cooley et al. [<xref ref-type="bibr" rid="pclm.0000142.ref004">4</xref>] projected growth rate under ocean acidification parameterized from data in 13 different experiments with 12 different species of bivalve. Although these assessments and models provide valuable insights into potential effects, research on the effects of OA and warming on US federally-managed species is warranted to anticipate future stocks and fishery production.</p>
<p>To understand the physiological plasticity of a bivalve and its ability to acclimate, measuring physiological responses (feeding, respiration, and excretion) of individuals to changing environmental conditions provides information needed to assess tolerance [<xref ref-type="bibr" rid="pclm.0000142.ref023">23</xref>] and population health [<xref ref-type="bibr" rid="pclm.0000142.ref003">3</xref>]. A century of research has focused on the physiological responses of marine bivalves to increased temperature [<xref ref-type="bibr" rid="pclm.0000142.ref024">24</xref>]. Attention to understanding the physiological responses of marine bivalves to increased CO<sub>2</sub> has been increasing, however, in only the last 20 years [<xref ref-type="bibr" rid="pclm.0000142.ref020">20</xref>,<xref ref-type="bibr" rid="pclm.0000142.ref025">25</xref>]. Findings suggest that not all bivalve species respond in the same ways to increased CO<sub>2</sub> (see review [<xref ref-type="bibr" rid="pclm.0000142.ref026">26</xref>]). For example, in the Chilean mussel, <italic>Mytilus chilensis</italic>, increased CO<sub>2</sub> resulted in no significant change in CR or ER, but a significant decrease in RR occurred [<xref ref-type="bibr" rid="pclm.0000142.ref027">27</xref>]. In contrast, the Atlantic surfclam (<italic>Spisula solidissima</italic>) exhibited a decrease in CR, a U shape response for RR, and an increase in ER with elevated CO<sub>2</sub> [<xref ref-type="bibr" rid="pclm.0000142.ref020">20</xref>]. More recently, shellfish research has focused on increasing CO<sub>2</sub> along with warming. For the northern quahog, <italic>Mercenaria mercenaria</italic>, the combined effects of warming and increased CO<sub>2</sub> resulted in increased RR, but no effect was observed in the Eastern oyster, <italic>Crassostrea virginica</italic> [<xref ref-type="bibr" rid="pclm.0000142.ref028">28</xref>]. Conversely, the oyster <italic>Ostrea chilensis</italic> showed no effects of high temperature and CO<sub>2</sub> upon physiological processes, indicating that this species may show high tolerance to these changes [<xref ref-type="bibr" rid="pclm.0000142.ref029">29</xref>]. The above findings demonstrate that CO<sub>2</sub> and warming should be studied concomitantly as the interaction of these two factors may change the response of a species to future environmental conditions.</p>
<p>To date most exposure experiments with elevated OA have applied a constant carbonate chemistry level [<xref ref-type="bibr" rid="pclm.0000142.ref030">30</xref>,<xref ref-type="bibr" rid="pclm.0000142.ref031">31</xref>]; however, many of the vulnerable species identified in these studies are found in environments that exhibit natural variability on diurnal or seasonal time scales [<xref ref-type="bibr" rid="pclm.0000142.ref032">32</xref>,<xref ref-type="bibr" rid="pclm.0000142.ref033">33</xref>]. McElhany and Busch [<xref ref-type="bibr" rid="pclm.0000142.ref033">33</xref>] suggested that biological experiments that have fluctuations in CO<sub>2</sub> may provide more ecologically-relevant information on species responses. Reum et al. [<xref ref-type="bibr" rid="pclm.0000142.ref034">34</xref>] identified the need for laboratory experiments to incorporate naturally varying carbonate chemistry systems with temperature. Knowledge about the co-variability of OA with temperature is essential to understand biological responses of organisms to future conditions [<xref ref-type="bibr" rid="pclm.0000142.ref035">35</xref>]; however these studies are scarce in the literature. Atlantic sea scallops are exposed to seasonal and daily variability in CO<sub>2</sub> [<xref ref-type="bibr" rid="pclm.0000142.ref007">7</xref>–<xref ref-type="bibr" rid="pclm.0000142.ref009">9</xref>] and temperature [<xref ref-type="bibr" rid="pclm.0000142.ref003">3</xref>,<xref ref-type="bibr" rid="pclm.0000142.ref036">36</xref>] in the natural habitat. Given the natural variability to which sea scallops are already exposed, understanding physiological responses in laboratory experiments that incorporate naturally-varying temperature along with carbonate chemistry will provide important information on how they are responding to changes already occurring in their habitat.</p>
<p>The aim of this study was to add CO<sub>2</sub> at three different levels (low, medium, and high) to ambient seawater that was not thermally controlled, to allow natural variability in the carbonate chemistry and temperature, while measuring physiological responses of sea scallops to these conditions. Every two weeks sea scallops were assessed by: (1) measuring physiological rates (CR, AE, RR, ER), (2) calculating from the physiological rates measured, the amount of energy remaining for growth (SFG), and (3) determining if net growth was affected by interactive variation in CO<sub>2</sub>. It was hypothesized that scallops exposed to increased CO<sub>2</sub> will show lower growth performance and that the interaction between high temperatures and CO<sub>2</sub> will affect how scallops adapt physiological rates to cope with those conditions, resulting in reduced energy available for growth.</p>
</sec>
<sec id="sec002" sec-type="materials|methods">
<title>Material and methods</title>
<sec id="sec003">
<title>Scallops and experimental design</title>
<p>Wild juvenile scallops (&lt;1 year old) were obtained from Nate Perry (Pine Point Oyster Company), who acquired them from multiple spat collectors located offshore of Cape Elizabeth, Maine, USA (~43° 35’ 36.8772"N, 70° 10’ 54.7998"W) on October 16, 2019 and transported to Massachusetts Maritime Academy (MMA, 41° 44’15.1728”N, 70° 37’30.5508”W). Scallops acclimated for 2 weeks, after which 540 sea scallops were divided into 9 equal groups (n = 60) of similar total biomass. Scallops were exposed for 8 weeks (from October 23 to December 19, 2019) to seawater that was supplemented with CO<sub>2</sub> at low, medium, or high enrichment. During this exposure, temperature was not controlled and declined naturally from a high of 15.6°C at the beginning of the experiment to a low of 5.8°C at the end. Every two weeks, physiological measurements were recorded on 7 individuals from each treatment for a total of 4 time periods at which temperatures were 13.1°C, 9.4°C, 7.4°C and 6.1°C.</p>
<p>In addition to physiological measurements, 12 individuals (n = 36 for each treatment) representative of the total tank biomass were removed every 2 weeks to determine shell height (mm), dry tissue weight (DTW), and dry shell weight (DSW). Shell height (mm) was measured from the umbo to the outer shell margin. DTW (g) was determined by shucking the soft tissues and drying in an oven at 60°C to constant weight. For DSW (g), all fouling organisms and particulate material were removed with a freshwater rinse, then shells were dried to constant weight at 60°C. A subset of 63 scallops were sampled for initial measurements.</p>
</sec>
<sec id="sec004">
<title>Experimental system</title>
<p>A mobile CO<sub>2</sub> delivery system similar to the stationary system described in Pousse et al. [<xref ref-type="bibr" rid="pclm.0000142.ref020">20</xref>] was constructed and transported to MMA for the experiment. The mobile system had 4 columns (9.5 cm x 140 cm) for each treatment and could simultaneously expose bivalves to three different CO<sub>2</sub> enrichment levels by mixing different ratios of air and CO<sub>2</sub> using mass-flow controllers (Aalborg Instruments and Controls, Orangeburg, NY, USA). Mass-flow controllers were set for three different CO<sub>2</sub> levels (low, medium, and high CO<sub>2</sub> enrichment) prior to scallops being added to the system; however, because the system enriched ambient seawater, there was some natural variability in the carbonate chemistry.</p>
<p>The CO<sub>2</sub> enriched water from each of the columns flowed continuously into three replicate experimental tanks (43.2 cm x 36.8 cm x 25.1 cm, total volume = 38L) with racks (40.6 cm x 30.5 cm x 12.7cm) inserted into the tanks to keep the scallops off the bottom. Each tank was bubbled with CO<sub>2</sub> enriched air to maintain a set CO<sub>2</sub> enrichment. All tanks had an outflow rate of ~ 1,500 ml min<sup>-1</sup>. As described in Pousse et al. [<xref ref-type="bibr" rid="pclm.0000142.ref020">20</xref>], a complete column rotation of CO<sub>2</sub> levels occurred between each sampling point to avoid a potential column effect. During this procedure, tanks were cleaned. The system also included the ability to supplement natural phytoplankton to the containers with cultured microalgae using a variable-speed peristaltic pump Golander BT100F-1, with head DG10-12 (Goldander, Norcross, GA). A 50/50 (volume:volume) mixture of <italic>Chaetoceros neogracile</italic> (Chaet-B) and <italic>Tetraselmis chui</italic> (PLY429), grown in local seawater enriched with Guillard’s F/2 nutrients, was delivered to each tank at 2ml min<sup>-1</sup>. The supplementation of algal food ensured that they received at least 4% of mean dry weight and were not food limited [<xref ref-type="bibr" rid="pclm.0000142.ref037">37</xref>].</p>
</sec>
<sec id="sec005">
<title>Physico-chemical measurements</title>
<p>Daily water variables (temperature, salinity) were measured with a YSI probe (Model 556, Yellowspring, OH USA). Chlorophyll-a (chl-a) was monitored every 15 minutes in incoming water with a YSI EXO2. In addition to chl-a, to ensure the effects of harmful phytoplankton were not complicating the experiment, twice a week throughout the experiment, a 100-mL sample of incoming water was collected and preserved (3% Lugol’s solution) to determine the dominant phytoplankton species/taxa in the seston with special attention to harmful phytoplankton. Phytoplankton were identified with a Zeiss Observer Z1 inverted microscope (Jena, Germany).</p>
<p>For carbonate chemistry analysis, seawater samples were taken weekly to biweekly in dark, polypropylene bottles (500 ml) from each tank outflow (n = 12) for dissolved inorganic carbon (DIC) and pH measurements. An Apollo SciTech DIC analyzer (Apollo SciTech, LLC, Newark, DE) was used to analyze samples for DIC, which has a precision of 0.5% of assigned values in an interlaboratory comparison [<xref ref-type="bibr" rid="pclm.0000142.ref038">38</xref>]. During analysis, certified reference material was within ±2.7 μmol kg<sup>-1</sup> (n = 32) of the reported value. A UV-VIS spectrophotometer (Cary100, Agilent, Santa Clara, CA, USA) was used to determine pH (seawater scale) colorimetrically at 20°C with m-cresol purple indicator dye (Sigma-Aldrich, St. Louise, MS, [<xref ref-type="bibr" rid="pclm.0000142.ref028">28</xref>]. To ensure accuracy, a tris-buffer was used ±0.0014 (n = 12). DIC and pH were used in CO2SYS [<xref ref-type="bibr" rid="pclm.0000142.ref039">39</xref>] for the calculation of pH<sub><italic>in situ</italic></sub>, ρCO<sub>2</sub> (μatm), calcite, and aragonite using the following constants: K1, K2 [<xref ref-type="bibr" rid="pclm.0000142.ref040">40</xref>]; potassium sulfate [<xref ref-type="bibr" rid="pclm.0000142.ref041">41</xref>]; and boron [<xref ref-type="bibr" rid="pclm.0000142.ref042">42</xref>].</p>
</sec>
<sec id="sec006">
<title>Physiological rates</title>
<p>All physiological rates measured or calculated for this experiment are summarized in <xref ref-type="table" rid="pclm.0000142.t001">Table 1</xref>. The biodeposition method was used to determine sea scallop feeding rates [<xref ref-type="bibr" rid="pclm.0000142.ref020">20</xref>,<xref ref-type="bibr" rid="pclm.0000142.ref043">43</xref>]. This method uses the inorganic matter in seston as a tracer in the food source, feces, and pseudofeces to calculate: CR, organic ingestion rate (OIR), (assimilation rate) AR, and AE (<xref ref-type="table" rid="pclm.0000142.t001">Table 1</xref>). In the biodeposition apparatus, each of the three, separate CO<sub>2</sub> enriched header tanks dispensed water to 9 individual chambers (460 mm<sup>2</sup>) at a flow rate of 200 mL min<sup>-1</sup>. Of those 9 chambers, 2 were used as controls (empty shells), and the remaining 7 each held a sea scallop from the corresponding CO<sub>2</sub> enrichment. Scallops acclimated to the system for 12 hours prior to the collection of water samples and feces/pseudofeces. Water samples for total suspended matter (TSM), particulate inorganic matter (PIM), and particulate organic matter (POM) were collected every 20 minutes for approximately 3 hours and filtered on pre-weighed, pre-combusted (450°C for 4 hours) GF/C filters which were rinsed with isotonic ammonium formate after filtration. Data of TSM, PIM, and POM for each sampling date were similar to each other, except for 11/19, which showed lower POM, and 12/2 that had higher TSM (<xref ref-type="supplementary-material" rid="pclm.0000142.s001">S1 Fig</xref>). Feces and pseudofeces were collected separately until enough material was collected to weigh (~4 to 5 h for sea scallops) and offset from water collection by the gut transit time (~60 minutes, calculated during all biodeposits sampling days). These samples were filtered on pre-weighed, pre-combusted (450°C for 4 hours) GF/C filters and rinsed with isotonic ammonium formate. All filters were frozen until processing. Total weight and organic/inorganic fraction of each filter were calculated by drying the filters (60°C) until constant weight (~ 5 days) and then combusting at 450°C for 4 hours and weighing. Shell height (mm) was recorded, and scallops were shucked immediately for dry tissue weight and dry shell weight. Only a part of the December 18 samples (9 of 21) for CR were available for analysis because the rest of those samples were compromised (storage malfunction) during the COVID-19 pandemic.</p>
<table-wrap id="pclm.0000142.t001" position="float">
<object-id pub-id-type="doi">10.1371/journal.pclm.0000142.t001</object-id>
<label>Table 1</label> <caption><title>List of acronyms, meanings and units of all measurements or calculations on Atlantic sea scallop, <italic>Placopecten magellanicus</italic>, during an 8-week exposure to CO<sub>2</sub> enrichment.</title></caption>
<alternatives>
<graphic id="pclm.0000142.t001g" mimetype="image" position="float" xlink:href="info:doi/10.1371/journal.pclm.0000142.t001" xlink:type="simple"/>
<table>
<colgroup>
<col align="left" valign="middle"/>
<col align="left" valign="middle"/>
<col align="left" valign="middle"/>
<col align="left" valign="middle"/>
</colgroup>
<thead>
<tr>
<th align="center">Acronym</th>
<th align="center">Meaning</th>
<th align="center">Unit</th>
<th align="center">Acquisition</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left">CR</td>
<td align="left">Clearance rate</td>
<td align="center">l h<sup>-1</sup></td>
<td align="center">Measured</td>
</tr>
<tr>
<td align="left">OIR</td>
<td align="left">Organic ingestion rate</td>
<td align="center">mg h<sup>-1</sup></td>
<td align="center">Measured</td>
</tr>
<tr>
<td align="left">AR</td>
<td align="left">Assimilation rate</td>
<td align="center">mg h<sup>-1</sup></td>
<td align="center">Measured</td>
</tr>
<tr>
<td align="left">AE</td>
<td align="left">Assimilation efficiency</td>
<td align="center">-</td>
<td align="center">Measured</td>
</tr>
<tr>
<td align="left">RR</td>
<td align="left">Respiration rate</td>
<td align="center">mg O<sub>2</sub> h<sup>-1</sup></td>
<td align="center">Measured</td>
</tr>
<tr>
<td align="left">ER</td>
<td align="left">Excretion rate</td>
<td align="center">μg N h<sup>-1</sup></td>
<td align="center">Measured</td>
</tr>
<tr>
<td align="left">O:N</td>
<td align="left">Atomic oxygen to nitrogen ratio</td>
<td align="center">-</td>
<td align="center">Calculated</td>
</tr>
<tr>
<td align="left">A</td>
<td align="left">Assimilated energy</td>
<td align="center">J h<sup>-1</sup></td>
<td align="center">Calculated</td>
</tr>
<tr>
<td align="left">U+R</td>
<td align="left">Energy used for catabolic processes</td>
<td align="center">J h<sup>-1</sup></td>
<td align="center">Calculated</td>
</tr>
<tr>
<td align="left">SFG</td>
<td align="left">Scope for growth</td>
<td align="center">J h<sup>-1</sup></td>
<td align="center">Calculated</td>
</tr>
<tr>
<td align="left">DTW</td>
<td align="left">Dry tissue weight</td>
<td align="center">g</td>
<td align="center">Measured</td>
</tr>
<tr>
<td align="left">DSW</td>
<td align="left">Dry shell weight</td>
<td align="center">g</td>
<td align="center">Measured</td>
</tr>
<tr>
<td align="left">TSM</td>
<td align="left">Total suspended matter</td>
<td align="center">mg l<sup>-1</sup></td>
<td align="center">Measured</td>
</tr>
<tr>
<td align="left">PIM</td>
<td align="left">Particulate inorganic matter</td>
<td align="center">mg l<sup>-1</sup></td>
<td align="center">Measured</td>
</tr>
<tr>
<td align="left">POM</td>
<td align="left">Particulate organic matter</td>
<td align="center">mg l<sup>-1</sup></td>
<td align="center">Measured</td>
</tr>
</tbody>
</table>
</alternatives>
</table-wrap>
<p>The same individuals used in biodeposition were used to calculate RR and ER. Scallops first were starved in 0.35-μm-filtered seawater at appropriate CO<sub>2</sub> enrichment for 24 hours so that basal metabolic rates for respiration (RR) and excretion (ER) could be measured; then placed in individual, closed chambers (68 ml minus biovolume of animal) filled with 0.35-μm-filtered seawater treated at appropriate CO<sub>2</sub> enrichment. An eight-channel Loligo respirometry system (Viborg, Denmark) was used to measure RR on 7 individuals with 1 chamber as the control (empty shell). RR was calculated from a linear regression applied to oxygen depletion with the background noise from the control chamber subtracted out. To ensure that scallops were not stressed from low oxygen concentrations in the chamber, recordings were stopped once oxygen saturation reached 80%.</p>
<p>At the end of RR recordings, ER samples were taken by removing 5 mL from each chamber for ammonia-N determination. HACH TNT-830 test kits (equivalent EPA 350.1, EPA 351.1, and EPA 351.2) were used to determine ammonia-N with a modified protocol detailed in Pousse et al. (15). Briefly, absorbance was measured at 690 nm after 3.5 h to allow for color development. The method had a detection limit of 0.02 mg L<sup>-1</sup>, and a low-nutrient seawater reference standard (Sigma- Simple Nutrients in Seawater) was within ± 0.01 mg L<sup>-1</sup> of the reported value. Individual ER was calculated using the active time observed for each individual (i.e., period when the scallop was respiring) and was determined with the following equation:
<disp-formula id="pclm.0000142.e001">
<alternatives>
<graphic id="pclm.0000142.e001g" mimetype="image" position="anchor" xlink:href="info:doi/10.1371/journal.pclm.0000142.e001" xlink:type="simple"/>
<mml:math display="block" id="M1">
<mml:mrow><mml:mi mathvariant="normal">E</mml:mi><mml:mi mathvariant="normal">R</mml:mi><mml:mspace width="0.25em"/><mml:mo>(</mml:mo><mml:mrow><mml:mi mathvariant="normal">μ</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mspace width="0.25em"/><mml:mi mathvariant="normal">N</mml:mi><mml:mspace width="0.25em"/><mml:msup><mml:mi mathvariant="normal">h</mml:mi><mml:mrow><mml:mi mathvariant="normal">‐</mml:mi><mml:mn>1</mml:mn></mml:mrow></mml:msup></mml:mrow><mml:mo>)</mml:mo><mml:mo>=</mml:mo><mml:msub><mml:mi mathvariant="normal">C</mml:mi><mml:mrow><mml:mi mathvariant="normal">N</mml:mi><mml:mi mathvariant="normal">H</mml:mi><mml:mn>4</mml:mn><mml:mi mathvariant="normal">‐</mml:mi><mml:mi mathvariant="normal">N</mml:mi></mml:mrow></mml:msub><mml:mo>*</mml:mo><mml:mo>(</mml:mo><mml:mrow><mml:msub><mml:mi mathvariant="normal">V</mml:mi><mml:mi mathvariant="normal">c</mml:mi></mml:msub><mml:mo>−</mml:mo><mml:msub><mml:mi mathvariant="normal">V</mml:mi><mml:mrow><mml:mi mathvariant="normal">s</mml:mi><mml:mi mathvariant="normal">c</mml:mi></mml:mrow></mml:msub></mml:mrow><mml:mo>)</mml:mo><mml:mo>/</mml:mo><mml:msub><mml:mi mathvariant="normal">t</mml:mi><mml:mrow><mml:mi mathvariant="normal">e</mml:mi><mml:mi mathvariant="normal">a</mml:mi></mml:mrow></mml:msub></mml:mrow>
</mml:math>
</alternatives>
</disp-formula>
where C<sub>NH4-N</sub> was the concentration of ammonia-N in the respiration chamber (μg N mL<sup>-1</sup>), V<sub>c</sub> was the volume of respiration chamber (mL), V<sub>sc</sub> was the volume of individual (mL), t<sub>ea</sub> was the effective active time (h).</p>
<sec id="sec007">
<title>Standardization of physiological rates</title>
<p>All physiological rates were weight-standardized to a 0.10-g individual in dried tissue weight (W<sub>s</sub>; mean weight of the experiment) to allow for comparison of rates for different-sized individuals. The following equation was used to standardize all physiological rates
<disp-formula id="pclm.0000142.e002">
<alternatives>
<graphic id="pclm.0000142.e002g" mimetype="image" position="anchor" xlink:href="info:doi/10.1371/journal.pclm.0000142.e002" xlink:type="simple"/>
<mml:math display="block" id="M2">
<mml:mrow><mml:msub><mml:mi mathvariant="normal">Y</mml:mi><mml:mi mathvariant="normal">w</mml:mi></mml:msub><mml:mo>=</mml:mo><mml:msup><mml:mrow><mml:mo>(</mml:mo><mml:mrow><mml:msub><mml:mi mathvariant="normal">W</mml:mi><mml:mi mathvariant="normal">s</mml:mi></mml:msub><mml:mo>/</mml:mo><mml:msub><mml:mi mathvariant="normal">W</mml:mi><mml:mi mathvariant="normal">e</mml:mi></mml:msub></mml:mrow><mml:mo>)</mml:mo></mml:mrow><mml:mi mathvariant="normal">b</mml:mi></mml:msup><mml:mspace width="0.25em"/><mml:msub><mml:mi mathvariant="normal">Y</mml:mi><mml:mi mathvariant="normal">e</mml:mi></mml:msub></mml:mrow>
</mml:math>
</alternatives>
<label>(1)</label>
</disp-formula>
where, Y<sub>w</sub> was the weight-standardized physiological rate, Y<sub>e</sub> was the experimentally measured rate, W<sub>e</sub> was the dry tissue mass, and b was the calculated power value that scales physiological rates to body weight [<xref ref-type="bibr" rid="pclm.0000142.ref044">44</xref>].</p>
<p>The b for CR, RR, and ER was calculated with the following equation Y<sub>e</sub> = aW<sup>b</sup> applied on temperature-corrected physiological rates as detailed in Pousse et al. [<xref ref-type="bibr" rid="pclm.0000142.ref020">20</xref>] with Arrhenius parameters obtained from the “add-my-pet” collection <ext-link ext-link-type="uri" xlink:href="https://www.bio.vu.nl/thb/deb/deblab/add_my_pet/" xlink:type="simple">https://www.bio.vu.nl/thb/deb/deblab/add_my_pet/</ext-link>. For sea scallops, the b value was 0.68, 0.71 and 0.40 for CR, RR, and ER respectively (<xref ref-type="supplementary-material" rid="pclm.0000142.s002">S2 Fig</xref>).</p>
</sec>
</sec>
<sec id="sec008">
<title>Scope for growth</title>
<p>Rates measured during biodeposition (CR and AE), RR, and ER were used to calculate SFG–the energy available for growth. All measurements were converted to energy equivalents (Joules, J,) and calculated from the equation:
<disp-formula id="pclm.0000142.e003">
<alternatives>
<graphic id="pclm.0000142.e003g" mimetype="image" position="anchor" xlink:href="info:doi/10.1371/journal.pclm.0000142.e003" xlink:type="simple"/>
<mml:math display="block" id="M3">
<mml:mi>S</mml:mi><mml:mi>F</mml:mi><mml:mi>G</mml:mi><mml:mo>=</mml:mo><mml:mo>(</mml:mo><mml:mi>A</mml:mi><mml:mo>)</mml:mo><mml:mo>−</mml:mo><mml:mo>(</mml:mo><mml:mi>R</mml:mi><mml:mo>+</mml:mo><mml:mi>U</mml:mi><mml:mo>)</mml:mo>
</mml:math>
</alternatives>
<label>(2)</label>
</disp-formula>
with A assimilated energy (J h<sup>-1</sup>), R energy catabolized through respiration (J h<sup>-1</sup>), and U excreted energy (J h<sup>-1</sup>, [<xref ref-type="bibr" rid="pclm.0000142.ref019">19</xref>]). RR was converted to oxygen-catabolized energy (R) using 14.0 J mg<sup>-1</sup> O<sub>2</sub>, ER converted to U using 24.83 J mg<sup>-1</sup> NH<sub>4</sub>-N [<xref ref-type="bibr" rid="pclm.0000142.ref045">45</xref>]. The absorbed energy (A, J h<sup>-1</sup>) calculated as A = CR*AE*Δ<sub>food</sub>, with CR (L h<sup>-1</sup>) and AE (no unit) obtained from the biodeposition method and Δ<sub>food</sub> the energetic content of the food (J mg<sup>-1</sup>) obtained from Δ<sub>food</sub> = (0.632+0.086 (%C))×4.184, where %C was the organic matter of the seston [<xref ref-type="bibr" rid="pclm.0000142.ref046">46</xref>]. The O:N ratio was calculated to measure the balance between the breakdown of proteins and the catabolism of carbohydrate and lipids as the atomic ratio of RR to ER.</p>
</sec>
<sec id="sec009">
<title>Statistical analysis</title>
<p>Statistical analysis was performed using the statistical software R version 4.0.3 (R Foundation for Statistical Computing, Vienna; <ext-link ext-link-type="uri" xlink:href="http://www.r-project.org/" xlink:type="simple">http://www.r-project.org</ext-link>). The data did not meet the assumptions of normality and homoscedasticity, so non-parametric, robust methods described by Wilcox [<xref ref-type="bibr" rid="pclm.0000142.ref047">47</xref>] were employed using R source library version 39 (downloaded from <ext-link ext-link-type="uri" xlink:href="https://dornsife.usc.edu/labs/rwilcox/fotware/" xlink:type="simple">https://dornsife.usc.edu/labs/rwilcox/fotware/</ext-link>). Before any analyses of the physiological values were made, one-factor, non-parametric analysis on the physico-chemical measurements was performed to ensure the following: 1.) there was no significant difference in salinity between CO<sub>2</sub> enrichment treatments; 2.) that the change in temperature and algae concentration were the same between the three CO<sub>2</sub> enrichments; and 3.) that each of the three CO<sub>2</sub> enrichment treatments were different.</p>
<p>Physiological measurements were analyzed using two factors, CO<sub>2</sub> level and temperature, with robust statistical methods. Statistical analysis based on 20%-trimmed means was used for all data analysis to overcome some of the Type I errors that can occur when statistical assumptions (normality and homoscedasticity) are not met [<xref ref-type="bibr" rid="pclm.0000142.ref047">47</xref>,<xref ref-type="bibr" rid="pclm.0000142.ref048">48</xref>]. Trimmed means do not have to meet the standard assumption of normality or homoscedasticity and will minimize influence of outliers without bias by excluding a predetermined percentage of the most extreme observations. Trimmed mean comparisons have higher power relative to traditional mean comparisons [<xref ref-type="bibr" rid="pclm.0000142.ref047">47</xref>,<xref ref-type="bibr" rid="pclm.0000142.ref049">49</xref>]. If there was an interaction between CO<sub>2</sub> level and temperature, pairwise comparisons were also run.</p>
<p>Robust ANCOVA methods based upon parametric regression models were used to fit the growth data (shell height, DTW, DSW) for the 8-week experiment at each CO<sub>2</sub> level. In contrast to classic ANCOVA, using robust ANCOVA methods does not assume that the regression lines were parallel, homoscedastic, and normally distributed [<xref ref-type="bibr" rid="pclm.0000142.ref047">47</xref>,<xref ref-type="bibr" rid="pclm.0000142.ref050">50</xref>]. The slope of each growth variable relative to CO<sub>2</sub> level was compared using a percentile bootstrap method, with the Theil-sen regression estimator to generate a predictive equation. This method compares well to traditional ANCOVA without creating Type I errors [<xref ref-type="bibr" rid="pclm.0000142.ref047">47</xref>,<xref ref-type="bibr" rid="pclm.0000142.ref050">50</xref>]. In addition, the tests can compare between each time point to determine if there was a significant difference in size between each CO<sub>2</sub> level. P-values ≤ 0.05 were considered statistically significant for all analyses.</p>
</sec>
</sec>
<sec id="sec010" sec-type="results">
<title>Results</title>
<sec id="sec011">
<title>Experimental conditions</title>
<p>Mortality was low during the 8-week experiment with only one individual in the low CO<sub>2</sub> enrichment dying within the first 2 weeks of the experiment, which may have been related to moving the animals.</p>
<p>Salinity varied from 30.17 to 31.58 (<xref ref-type="fig" rid="pclm.0000142.g001">Fig 1A</xref>), while temperature varied from a high of 15.6°C (start of the experiment) to a low of 5.8°C (end of the experiment, <xref ref-type="fig" rid="pclm.0000142.g001">Fig 1B</xref>). There was no significant difference in salinity (p = 0.81) or the drop in temperature (p = 0.15) between each of the three CO<sub>2</sub> levels. The system delivered a constant level of CO<sub>2</sub> enrichment with the mass flow controllers (see above); however, because ambient seawater CO<sub>2</sub> varies naturally, there was variation in the carbonate variables during the experiment. Measured pH for the experiment ranged from 7.7545 to 7.8199, 7.5661 to 7.7283, and 7.3954 to 7.6039 for the low, medium, and high CO<sub>2</sub> enrichment levels, respectively (<xref ref-type="fig" rid="pclm.0000142.g001">Fig 1C</xref>). There was a significant difference in measured pH (p&lt;0.01); therefore, the means for the carbonate chemistry of the 3 enrichment treatments were reported (<xref ref-type="table" rid="pclm.0000142.t002">Table 2</xref>). The DIC concentration for the low-CO<sub>2</sub> enrichment ranged from 1933.26 μmol kg<sup>-1</sup> to 2058.46 μmol kg<sup>-1</sup>, while the medium-CO<sub>2</sub> enrichment ranged from 1982.70 μmol kg<sup>-1</sup> to 2138.59 μmol kg<sup>-1</sup>, and the high-CO<sub>2</sub> enrichment ranged from 2045.18 μmol kg<sup>-1</sup> to 2173.13 μmol kg<sup>-1</sup> (<xref ref-type="fig" rid="pclm.0000142.g001">Fig 1D</xref>). As with pH, there was a significant difference in DIC between the three CO<sub>2</sub> enrichment levels (p&lt; 0.01). The rest of the carbonate system variables (pH*, ρCO<sub>2</sub>, calcite, and aragonite) were calculated at the <italic>in situ</italic> temperature. The calculated pH* varied from 7.8703 to 7.9730 for the low-, 7.6657 to 7.9170 for the medium-, and 7.4700 to 7.7377 for the high-CO<sub>2</sub> enrichment (<xref ref-type="fig" rid="pclm.0000142.g001">Fig 1E</xref>), with a significant difference between treatments (<xref ref-type="table" rid="pclm.0000142.t002">Table 2</xref>). Calculated CO<sub>2</sub> (μatm) ranged from a low of 435 μatm to a high of 583 μatm for the low-CO<sub>2</sub> enrichment, while the medium ranged from 499 μatm to 1,001 μatm and the high ranged from 813 μatm to 1,161 μatm, with a significant difference between treatments (<xref ref-type="fig" rid="pclm.0000142.g001">Fig 1F</xref>, <xref ref-type="table" rid="pclm.0000142.t002">Table 2</xref>). With respect to calcite, the low ranged from 2.38 to 2.00, the medium from 1.29 to 1.88, and the high from 0.91 to 1.44 for each CO<sub>2</sub> enrichment level (<xref ref-type="fig" rid="pclm.0000142.g001">Fig 1G</xref>). There was a significant difference (p&lt;0.01) in calcite between the three enrichment levels (<xref ref-type="table" rid="pclm.0000142.t002">Table 2</xref>). The aragonite levels varied from 1.26 to 1.52 for the low treatment, 0.81 to 1.17 for the medium treatment, and 0.57 to 0.91 for the high treatment of CO<sub>2</sub> (<xref ref-type="fig" rid="pclm.0000142.g001">Fig 1H</xref>), with a significant difference between the three treatment levels (p&lt;0.01, <xref ref-type="table" rid="pclm.0000142.t002">Table 2</xref>).</p>
<fig id="pclm.0000142.g001" position="float">
<object-id pub-id-type="doi">10.1371/journal.pclm.0000142.g001</object-id>
<label>Fig 1</label>
<caption>
<title>Experimental carbonate chemistry for Atlantic sea scallops, <italic>Placopecten magellanicus</italic>, during an 8-week experiment where seawater was enriched with CO<sub>2</sub> (low, medium, or high).</title>
<p>Reported means ± standard error of measured (A) salinity, (B) temperature (°C), (C) dissolved inorganic carbon (DIC, μmol kg<sup>-1</sup>) and (D) pH (at 20°C, seawater scale) in the experimental tanks (N = 3 per CO<sub>2</sub> enrichment). The carbonate variables (E) pH*(<italic>in situ</italic> pH), (F) ρCO<sub>2</sub>* (μatm), (G) calcite*, and (H) aragonite* were calculated at measured temperature using CO2SYS with the constants set as Lueker et al. [<xref ref-type="bibr" rid="pclm.0000142.ref040">40</xref>], Dickson [<xref ref-type="bibr" rid="pclm.0000142.ref041">41</xref>], and boron value from Lee et al. [<xref ref-type="bibr" rid="pclm.0000142.ref032">32</xref>]. The circle solid line was low-CO<sub>2</sub> enrichment, the triangle dotted line was medium-CO<sub>2</sub> enrichment, and the square dash line was high-CO<sub>2</sub> enrichment.</p>
</caption>
<graphic mimetype="image" position="float" xlink:href="info:doi/10.1371/journal.pclm.0000142.g001" xlink:type="simple"/>
</fig>
<table-wrap id="pclm.0000142.t002" position="float">
<object-id pub-id-type="doi">10.1371/journal.pclm.0000142.t002</object-id>
<label>Table 2</label> <caption><title>Mean value and standard error of carbonate chemistry for Atlantic sea scallops, <italic>Placopecten magellanicus</italic>, for the entire 8-week experiment for each CO<sub>2</sub> enrichment (low, medium, or high).</title> <p>Measured values were pH (at 20°C, seawater scale) and dissolved inorganic carbon (DIC, μmol kg<sup>-1</sup>). Parameters that were calculated using CO2SYS include pH* at <italic>in situ</italic> temperature (seawater scale), ρCO<sub>2</sub>, calcite and aragonite. The following constants were used in CO2SYS: K1, K2 [<xref ref-type="bibr" rid="pclm.0000142.ref040">40</xref>], potassium sulfate [<xref ref-type="bibr" rid="pclm.0000142.ref041">41</xref>]; and boron [<xref ref-type="bibr" rid="pclm.0000142.ref042">42</xref>]. Superscript numbers indicate significantly different groups (p-values &lt;0.05).</p></caption>
<alternatives>
<graphic id="pclm.0000142.t002g" mimetype="image" position="float" xlink:href="info:doi/10.1371/journal.pclm.0000142.t002" xlink:type="simple"/>
<table>
<colgroup>
<col align="left" valign="middle"/>
<col align="left" valign="middle"/>
<col align="left" valign="middle"/>
<col align="left" valign="middle"/>
<col align="left" valign="middle"/>
<col align="left" valign="middle"/>
<col align="left" valign="middle"/>
</colgroup>
<thead>
<tr>
<th align="center">Treatment</th>
<th align="center">pH</th>
<th align="center">DIC (μmol kg<sup>-1</sup>)</th>
<th align="center">pH*</th>
<th align="center">ρCO<sub>2</sub><break/>(μatm)</th>
<th align="center">Calcite</th>
<th align="center">Aragonite</th>
</tr>
</thead>
<tbody>
<tr>
<td align="center"><bold>Low</bold></td>
<td align="center">7.7939 ± 0.0036<sup>1</sup></td>
<td align="center">1996.25 ± 6.69<sup>1</sup></td>
<td align="center">7.9262± 0.0055<sup>1</sup></td>
<td align="center">501± 7<sup>1</sup></td>
<td align="center">2.21± 0.02<sup>1</sup></td>
<td align="center">1.39± 0.01<sup>1</sup></td>
</tr>
<tr>
<td align="center"><bold>Medium</bold></td>
<td align="center">7.6229 ± 0.0109<sup>2</sup></td>
<td align="center">2061.47 ± 9.30<sup>2</sup><break/></td>
<td align="center">7.7491± 0.0147<sup>2</sup></td>
<td align="center">802± 29<sup>2</sup></td>
<td align="center">1.54± 0.03<sup>2</sup></td>
<td align="center">0.97± 0.02<sup>2</sup></td>
</tr>
<tr>
<td align="center"><bold>high</bold></td>
<td align="center">7.4842 ± 0.0212<sup>3</sup></td>
<td align="center">2104.95± 9.80<sup>3</sup></td>
<td align="center">7.6125± 0.0236<sup>3</sup></td>
<td align="center">1164± 72<sup>3</sup></td>
<td align="center">1.18± 0.05<sup>3</sup></td>
<td align="center">0.74± 0.03<sup>3</sup></td>
</tr>
</tbody>
</table>
</alternatives>
</table-wrap>
<p>During the 8-week sampling period, there was no significant difference in plankton concentration between each CO<sub>2</sub> treatment (p = 0.08). In addition to the supplemented algae, the following diatoms were found in the incoming seawater: <italic>Guinardia delicatula</italic>, <italic>Licmophora</italic> spp., <italic>Navicula</italic> spp., <italic>Rhizosolenia setigera</italic>, <italic>Skeletonema costatum</italic>, <italic>Thalassionema nitzschioides</italic>, and <italic>Thalassiosira</italic> spp. No harmful algae were identified throughout the experiment. Incoming seawater had a mean chl-a of 4.44 ± 0.02 μg/L (standard error), while the supplemented algae concentration varied between 31,087 to 48,043 cell/mL.</p>
</sec>
<sec id="sec012">
<title>Physiological measurements</title>
<p>CR was significantly different between experimental treatments of CO<sub>2</sub> (p = 0.02, <xref ref-type="fig" rid="pclm.0000142.g002">Fig 2A</xref>) and temperature (p&lt;0.01, <xref ref-type="fig" rid="pclm.0000142.g002">Fig 2E</xref>), with no interaction between temperature and CO<sub>2</sub> (<xref ref-type="table" rid="pclm.0000142.t003">Table 3</xref> p = 0.13). CR ranged from a low of 0.18 l h<sup>-1</sup> (high-CO<sub>2</sub> enrichment, 7.4°C) to a high of 0.64 l h<sup>-1</sup> (low-CO<sub>2</sub> enrichment, 9.4°C). For the main effect of CO<sub>2</sub>, the low-CO<sub>2</sub> enrichment was significantly higher than CR at high-CO<sub>2</sub> enrichment. The medium-CO<sub>2</sub> enrichment was similar to the other two CO<sub>2</sub> enrichments. For temperature, CR showed two distinct homogenous groups with higher CR at 9.4°C and 13.1°C compared to 6.1°C and 7.4°C.</p>
<fig id="pclm.0000142.g002" position="float">
<object-id pub-id-type="doi">10.1371/journal.pclm.0000142.g002</object-id>
<label>Fig 2</label>
<caption>
<title>Feeding rates for Atlantic sea scallops, Atlantic sea scallops, <italic>Placopecten magellanicus</italic>.</title>
<p>The main effect with respect to CO<sub>2</sub> for (A) clearance rate (CR, l hr<sup>-1</sup>), (B) organic ingestion rate (OIR, mg h<sup>-1</sup>), (C) assimilation rate (AR, mg h<sup>-1</sup>), and (D) assimilation efficiency (AE), while the main effects of temperature were (E) CR, (F) OIR, (G) AR, and (H) AE. The numbers indicate significant differences in the measured values between each treatment level (p&lt;0.05).</p>
</caption>
<graphic mimetype="image" position="float" xlink:href="info:doi/10.1371/journal.pclm.0000142.g002" xlink:type="simple"/>
</fig>
<table-wrap id="pclm.0000142.t003" position="float">
<object-id pub-id-type="doi">10.1371/journal.pclm.0000142.t003</object-id>
<label>Table 3</label> <caption><title>Physiological measurements for Atlantic sea scallops, Atlantic sea scallops, <italic>Placopecten magellanicus</italic>.</title> <p>Clearance rate (CR, l h<sup>-1</sup>), organic ingestion rate (OIR, mg h<sup>-1</sup>), assimilation rate (AR, mg h<sup>-1</sup>), and assimilation efficiency (AE), respiration rate (RR, mg O<sub>2</sub> h<sup>-1</sup>), excretion rate (ER, μg N h<sup>-1</sup>), O:N ratio, assimilated energy (A, J h<sup>-1</sup>), total catabolic energy (R+U, J h<sup>-1</sup>), and scope for growth (SFG, J h<sup>-1</sup>) measured on Atlantic sea scallops every other week during an eight-week exposure to different CO<sub>2</sub> treatments (low, medium, and high). If the p-value was &lt;0.05, an interaction was detected between temperature and CO<sub>2</sub> enrichment. Superscripts indicate different groups within the CO<sub>2</sub> enrichment level when there was a significant interaction.</p></caption>
<alternatives>
<graphic id="pclm.0000142.t003g" mimetype="image" position="float" xlink:href="info:doi/10.1371/journal.pclm.0000142.t003" xlink:type="simple"/>
<table>
<colgroup>
<col align="left" valign="middle"/>
<col align="left" valign="middle"/>
<col align="left" valign="middle"/>
<col align="left" valign="middle"/>
<col align="left" valign="middle"/>
<col align="left" valign="middle"/>
</colgroup>
<thead>
<tr>
<th align="center" rowspan="2">Biological Rates</th>
<th align="center" colspan="4">Temperature (°C)</th>
<th align="center" rowspan="2">Interaction p value</th>
</tr>
<tr>
<th align="center">6.1</th>
<th align="center">7.4</th>
<th align="center">9.4</th>
<th align="center">13.1</th>
</tr>
</thead>
<tbody>
<tr>
<td align="center">CR (l h<sup>-1</sup>)</td>
<td align="center"/>
<td align="center"/>
<td align="center"/>
<td align="center"/>
<td align="center">0.13</td>
</tr>
<tr>
<td align="center">low</td>
<td align="center">0.42 ± 0.02</td>
<td align="center">0.39±0.03</td>
<td align="center">0.64 ± 0.03</td>
<td align="center">0.46 ± 0.03</td>
<td align="center"/>
</tr>
<tr>
<td align="center">medium</td>
<td align="center">0.24 ± 0.02</td>
<td align="center">0.30±0.03</td>
<td align="center">0.58 ± 0.03</td>
<td align="center">0.42 ± 0.03</td>
<td align="center"/>
</tr>
<tr>
<td align="center">high</td>
<td align="center">0.24 ± 0.02</td>
<td align="center">0.18 ±0.03</td>
<td align="center">0.46 ± 0.03</td>
<td align="center">0.47 ± 0.03</td>
<td align="center"/>
</tr>
<tr>
<td align="center">OIR (mg h<sup>-1</sup>)</td>
<td align="center"/>
<td align="center"/>
<td align="center"/>
<td align="center"/>
<td align="center">0.78</td>
</tr>
<tr>
<td align="center">low</td>
<td align="center">0.16 ± 0.05</td>
<td align="center">0.29±0.06</td>
<td align="center">0.22± 0.06</td>
<td align="center">0.28 ± 0.06</td>
<td align="center"/>
</tr>
<tr>
<td align="center">medium</td>
<td align="center">0.12± 0.05</td>
<td align="center">0.20±0.06</td>
<td align="center">0.16 ± 0.06</td>
<td align="center">0.25 ± 0.06</td>
<td align="center"/>
</tr>
<tr>
<td align="center">high</td>
<td align="center">0.11 ± 0.05</td>
<td align="center">0.13 ±0.06</td>
<td align="center">0.14 ± 0.06</td>
<td align="center">0.27 ± 0.06</td>
<td align="center"/>
</tr>
<tr>
<td align="center">AR (mg h<sup>-1</sup>)</td>
<td align="center"/>
<td align="center"/>
<td align="center"/>
<td align="center"/>
<td align="center"/>
</tr>
<tr>
<td align="center">low</td>
<td align="center">0.05 ± 0.03</td>
<td align="center">0.13±0.04</td>
<td align="center">0.11 ± 0.04</td>
<td align="center">0.12 ± 0.04</td>
<td align="center">0.14</td>
</tr>
<tr>
<td align="center">medium</td>
<td align="center">0.01 ± 0.03</td>
<td align="center">0.06±0.04</td>
<td align="center">0.10 ± 0.04</td>
<td align="center">0.10 ± 0.04</td>
<td align="center"/>
</tr>
<tr>
<td align="center">high</td>
<td align="center">0.01 ± 0.03</td>
<td align="center">0.04 ±0.04</td>
<td align="center">0.13 ± 0.04</td>
<td align="center">0.13 ± 0.04</td>
<td align="center"/>
</tr>
<tr>
<td align="center">AE</td>
<td align="center"/>
<td align="center"/>
<td align="center"/>
<td align="center"/>
<td align="center">p&lt; 0.01</td>
</tr>
<tr>
<td align="center">low</td>
<td align="center">0.33 ± 0.02<sup>1</sup></td>
<td align="center">0.49 ± 0.02<sup>2</sup></td>
<td align="center">0.49 ± 0.02<sup>2</sup></td>
<td align="center">0.46 ± 0.021<sup>1,3</sup></td>
<td align="center"/>
</tr>
<tr>
<td align="center">medium</td>
<td align="center">0.07 ± 0.02<sup>1</sup></td>
<td align="center">0.28 ± 0.02<sup>1,2</sup></td>
<td align="center">0.45 ± 0.02<sup>2</sup></td>
<td align="center">0.37 ± 0.02<sup>2</sup></td>
<td align="center"/>
</tr>
<tr>
<td align="center">high</td>
<td align="center">0.08 ± 0.02<sup>1</sup></td>
<td align="center">0.33 ± 0.02<sup>1</sup></td>
<td align="center">0.48 ± 0.02<sup>2</sup></td>
<td align="center">0.39 ± 0.02<sup>2</sup></td>
<td align="center"/>
</tr>
<tr>
<td align="center">RR (mg O<sub>2</sub> h<sup>-1</sup>)</td>
<td align="center"/>
<td align="center"/>
<td align="center"/>
<td align="center"/>
<td align="center">0.64</td>
</tr>
<tr>
<td align="center">low</td>
<td align="center">0.022 ± 0.006</td>
<td align="center">0.026±0.009</td>
<td align="center">0.036 ± 0.008</td>
<td align="center">0.056 ± 0.008</td>
<td align="center"/>
</tr>
<tr>
<td align="center">medium</td>
<td align="center">0.022 ± 0.007</td>
<td align="center">0.025±0.008</td>
<td align="center">0.024 ± 0.009</td>
<td align="center">0.040 ± 0.009</td>
<td align="center"/>
</tr>
<tr>
<td align="center">high</td>
<td align="center">0.020 ± 0.007</td>
<td align="center">0.024 ±0.008</td>
<td align="center">0.026 ± 0.009</td>
<td align="center">0.046 ± 0.009</td>
<td align="center"/>
</tr>
<tr>
<td align="center">ER (μg N h<sup>-1</sup>)</td>
<td align="center"/>
<td align="center"/>
<td align="center"/>
<td align="center"/>
<td align="center">&lt;0.01</td>
</tr>
<tr>
<td align="center">low</td>
<td align="center">2.86 ± 0.55<sup>1</sup></td>
<td align="center">1.31±0.73<sup>2</sup></td>
<td align="center">2.61 ± 0.72<sup>1</sup></td>
<td align="center">5.52 ± 1.29<sup>1</sup></td>
<td align="center"/>
</tr>
<tr>
<td align="center">medium</td>
<td align="center">2.99 ± 0.30<sup>1</sup></td>
<td align="center">1.46±0.54<sup>2</sup></td>
<td align="center">2.28 ± 0.87<sup>1,2</sup></td>
<td align="center">3.79 ± 0.73<sup>1,3</sup></td>
<td align="center"/>
</tr>
<tr>
<td align="center">high</td>
<td align="center">1.65 ± 0.58<sup>1</sup></td>
<td align="center">1.82 ±0.72<sup>1,2</sup></td>
<td align="center">3.72 ± 0.42<sup>3</sup></td>
<td align="center">4.64 ± 0.49<sup>2,3</sup></td>
<td align="center"/>
</tr>
<tr>
<td align="center">O:N</td>
<td align="center"/>
<td align="center"/>
<td align="center"/>
<td align="center"/>
<td align="center">0.04</td>
</tr>
<tr>
<td align="center">low</td>
<td align="center">6.83 ± 2.80<sup>1</sup></td>
<td align="center">17.42±3.18<sup>2</sup></td>
<td align="center">11.05± 3.14<sup>3</sup></td>
<td align="center">7.44 ± 3.37<sup>1</sup></td>
<td align="center"/>
</tr>
<tr>
<td align="center">medium</td>
<td align="center">6.47 ± 4.37</td>
<td align="center">14.82±4.06</td>
<td align="center">10.03 ± 2.57</td>
<td align="center">8.11 ± 2.84</td>
<td align="center"/>
</tr>
<tr>
<td align="center">high</td>
<td align="center">9.89 ± 3.95</td>
<td align="center">9.94 ±3.61</td>
<td align="center">8.30 ± 2.78</td>
<td align="center">8.95 ± 4.94</td>
<td align="center"/>
</tr>
<tr>
<td align="center">A (J h<sup>-1</sup>)</td>
<td align="center"/>
<td align="center"/>
<td align="center"/>
<td align="center"/>
<td align="center">0.12</td>
</tr>
<tr>
<td align="center">low</td>
<td align="center">2.03 ± 0.05</td>
<td align="center">2.44±0.06</td>
<td align="center">4.34 ± 0.08</td>
<td align="center">3.21 ± 0.09</td>
<td align="center"/>
</tr>
<tr>
<td align="center">medium</td>
<td align="center">0.31 ± 0.04</td>
<td align="center">1.23±0.06</td>
<td align="center">3.14 ± 0.06</td>
<td align="center">2.72 ± 0.03</td>
<td align="center"/>
</tr>
<tr>
<td align="center">high</td>
<td align="center">0.31 ± 0.03</td>
<td align="center">0.68 ±0.08</td>
<td align="center">2.45 ± 0.09</td>
<td align="center">3.86 ± 0.09</td>
<td align="center"/>
</tr>
<tr>
<td align="center">R+U (J h<sup>-1</sup>)</td>
<td align="center"/>
<td align="center"/>
<td align="center"/>
<td align="center"/>
<td align="center">0.43</td>
</tr>
<tr>
<td align="center">low</td>
<td align="center">0.39 ± 0.17</td>
<td align="center">0.38±0.11</td>
<td align="center">0.49 ± 0.17</td>
<td align="center">0.91 ± 0.19</td>
<td align="center"/>
</tr>
<tr>
<td align="center">medium</td>
<td align="center">0.38 ± 0.13</td>
<td align="center">0.39±0.15</td>
<td align="center">0.47 ± 0.00</td>
<td align="center">0.64 ± 0.12</td>
<td align="center"/>
</tr>
<tr>
<td align="center">high</td>
<td align="center">0.26 ± 0.10</td>
<td align="center">0.38 ±0.12</td>
<td align="center">0.53 ± 0.12</td>
<td align="center">0.69 ± 0.13</td>
<td align="center"/>
</tr>
<tr>
<td align="center">SFG (J h<sup>-1</sup>)</td>
<td align="center"/>
<td align="center"/>
<td align="center"/>
<td align="center"/>
<td align="center">0.12</td>
</tr>
<tr>
<td align="center">low</td>
<td align="center">1.65 ± 0.03</td>
<td align="center">2.04±0.43</td>
<td align="center">3.75 ± 0.29</td>
<td align="center">2.29 ± 0.34</td>
<td align="center"/>
</tr>
<tr>
<td align="center">medium</td>
<td align="center">0.00 ± 0.02</td>
<td align="center">0.65±0.40</td>
<td align="center">2.75 ± 0.28</td>
<td align="center">1.79 ± 0.20</td>
<td align="center"/>
</tr>
<tr>
<td align="center">high</td>
<td align="center">-0.01 ± 0.03</td>
<td align="center">0.47 ±0.40</td>
<td align="center">1.36 ± 0.27</td>
<td align="center">3.16 ± 0.33</td>
<td align="center"/>
</tr>
</tbody>
</table>
</alternatives>
</table-wrap>
<p>Mean OIR was significantly different between CO<sub>2</sub> enrichment (p = 0.04) and temperature (p&lt;0.01) conditions (<xref ref-type="fig" rid="pclm.0000142.g002">Fig 2B</xref> and <xref ref-type="fig" rid="pclm.0000142.g002">Fig 2F</xref>, respectively), with no interaction between the two (p = 0.78, <xref ref-type="table" rid="pclm.0000142.t003">Table 3</xref>). OIR varied from a low of 0.11 mg h<sup>-1</sup> (high-CO<sub>2</sub> enrichment, 6.1°C) to a high of 0.29 mg h<sup>-1</sup> (low-CO<sub>2</sub> enrichment, 7.4°C). As with CR, the OIR at low-CO<sub>2</sub> enrichment was significantly higher than OIR at high-CO<sub>2</sub> enrichment, with the OIR at medium-CO<sub>2</sub> enrichment having a similar rate as both the low and high-CO<sub>2</sub> levels. For temperature, OIR increased with temperature with the highest at 13.1°C and the lowest at 6.1°C.</p>
<p>As with CR and OIR, AR was significantly different between CO<sub>2</sub> enrichment levels (p = 0.02) and temperature (p&lt;0.01) treatments (<xref ref-type="fig" rid="pclm.0000142.g002">Fig 2C</xref> and <xref ref-type="fig" rid="pclm.0000142.g002">Fig 2G</xref>, respectively), with no interaction between the two (p = 0.14, <xref ref-type="table" rid="pclm.0000142.t003">Table 3</xref>). AR ranged from a low of 0.01 mg h<sup>-1</sup> (high-CO<sub>2</sub> enrichment, 6.1°C) to a high of 0.13 mg h<sup>-1</sup> (low-CO<sub>2</sub> enrichment, 7.4°C). For the main effect of CO<sub>2</sub>, AR was higher at low-CO<sub>2</sub> enrichment compared to medium- and high-CO<sub>2</sub> enrichment. For temperature, the lowest AR was at 6.1°C, but there was no difference in AR at the other three temperatures.</p>
<p>AE ranged from 0.07 (medium-CO<sub>2</sub> enrichment, 6.1°C) to a high of 0.49 (low-CO<sub>2</sub> enrichment, 9.4°C <xref ref-type="fig" rid="pclm.0000142.g002">Fig 2D</xref>). For AE there was a significant effect of CO<sub>2</sub> enrichment (p = 0.01, <xref ref-type="fig" rid="pclm.0000142.g002">Fig 2D</xref>), with AE having a U shaped response. At low-CO<sub>2</sub> enrichment there was higher efficiency than at medium-CO<sub>2</sub> enrichment, while the high-CO<sub>2</sub> enrichment behaved similarly to the other two enrichment levels for AE. There also was an effect of temperature (p&lt;0.01, <xref ref-type="fig" rid="pclm.0000142.g002">Fig 2H</xref>), with AE having an inverted U response with the maximum at 9.4°C. There was a significant interaction between CO<sub>2</sub> and temperature (p&lt;0.01, <xref ref-type="table" rid="pclm.0000142.t003">Table 3</xref>). At the low-CO<sub>2</sub> treatment, AE had an inverse U-shaped response with the highest AE for 7.4°C and 9.4°C. For the medium and high-CO<sub>2</sub> enrichment, the increase in AE was delayed until the temperature reached 9.4°C.</p>
<p>Concerning metabolic activities, RR varied from 0.020 mg O<sub>2</sub> h<sup>-1</sup> (high-CO<sub>2</sub> enrichment, 6.1°C) to a high of 0.056 mg O<sub>2</sub> h<sup>-1</sup> (low-CO<sub>2</sub> enrichment 13.1°C). There was no significant CO<sub>2</sub> effect upon RR (p = 0.07, <xref ref-type="fig" rid="pclm.0000142.g003">Fig 3A</xref>) but a significant effect of temperature (p&lt;0.01, <xref ref-type="fig" rid="pclm.0000142.g003">Fig 3D</xref>), with an increase in RR as temperature increased. Interaction between CO<sub>2</sub> and temperature for RR showed no significance (p = 0.64, <xref ref-type="table" rid="pclm.0000142.t003">Table 3</xref>). ER ranged from 1.31 μg N h<sup>-1</sup> (low-CO<sub>2</sub> enrichment, 7.4°C) to 5.52 μg N h<sup>-1</sup> (low-CO<sub>2</sub> enrichment, 13.1°C) with no significant effect induced by the CO<sub>2</sub> enrichment (<xref ref-type="fig" rid="pclm.0000142.g003">Fig 3B</xref>). There was a significant effect of temperature upon ER (p&lt;0.01, <xref ref-type="fig" rid="pclm.0000142.g003">Fig 3E</xref>), which showed a J-shape response with ER the lowest at 7.4°C. Unlike RR, there was a significant interaction between CO<sub>2</sub> enrichment and temperature on ER (p&lt;0.01, <xref ref-type="table" rid="pclm.0000142.t003">Table 3</xref>). For low-CO<sub>2</sub> enrichment, ER decreased at 7.4°C, but then it was consistent between the other 3 temperatures. For medium-CO<sub>2</sub> and high-CO<sub>2</sub> enrichment, ER increased with temperature (<xref ref-type="table" rid="pclm.0000142.t003">Table 3</xref>). As with RR and ER, there was no significant effect of CO<sub>2</sub> upon the O:N ratio (p = 0.41, <xref ref-type="fig" rid="pclm.0000142.g003">Fig 3C</xref>); however, temperature had a significant effect upon O:N (p&lt;0.01, <xref ref-type="fig" rid="pclm.0000142.g003">Fig 3F</xref>), showing an inverted U-shape response, with 7.4°C for the highest O:N ratio. There was an interactive effect of CO<sub>2</sub> and temperature upon O:N (p = 0.04, <xref ref-type="table" rid="pclm.0000142.t003">Table 3</xref>). At medium and high CO<sub>2</sub> enrichment, the O:N was the same at each of the temperatures, but at the low CO<sub>2</sub> enrichment the inverted U-shaped response was still observed.</p>
<fig id="pclm.0000142.g003" position="float">
<object-id pub-id-type="doi">10.1371/journal.pclm.0000142.g003</object-id>
<label>Fig 3</label>
<caption>
<title>Respiration rate (RR, mg O<sub>2</sub> h<sup>-1</sup>), excretion rate (ER μg N h<sup>-1</sup>), and oxygen:nitrogen ratio (O:N) for Atlantic sea scallops, <italic>Placopecten magellanicus</italic>.</title>
<p>The main effect with respect to CO<sub>2</sub> for (A) RR, (B) ER, (C) O:N, while the main effects of temperature for (D) RR, (E) ER, and (F) O:N. The numbers indicate significant differences in the measured values between each treatment level (p&lt;0.05).</p>
</caption>
<graphic mimetype="image" position="float" xlink:href="info:doi/10.1371/journal.pclm.0000142.g003" xlink:type="simple"/>
</fig>
<p>The A energy for sea scallops ranged from a high of 4.34 J h<sup>-1</sup> (low-CO<sub>2</sub> enrichment, 9.4°C) to a low of 0.31 J h<sup>-1</sup> (high-CO<sub>2</sub> enrichment, 6.1°C). A significant effect of CO<sub>2</sub> enrichment (p = 0.04, <xref ref-type="fig" rid="pclm.0000142.g004">Fig 4A</xref>) as well as temperature (p&lt;0.01, <xref ref-type="fig" rid="pclm.0000142.g004">Fig 4D</xref>) was observed on A. As CO<sub>2</sub> increased, the amount of A decreased. For temperature, A was double at temperatures 9.4°C and 13.1°C, relative to the values at 6.1°C and 7.5°C. There was no interaction between CO<sub>2</sub> and temperature (p = 0.12, <xref ref-type="table" rid="pclm.0000142.t003">Table 3</xref>).</p>
<fig id="pclm.0000142.g004" position="float">
<object-id pub-id-type="doi">10.1371/journal.pclm.0000142.g004</object-id>
<label>Fig 4</label>
<caption>
<title>Energetic energy for Atlantic sea scallops <italic>Placopecten magellanicus</italic>.</title>
<p>The main effect with respect to CO<sub>2</sub> for (A) assimilated energy (A, J h<sup>-1</sup>), (B) total catabolic energy (R+U, J h<sup>-1</sup>), and (C) scope for growth (SFG, J h<sup>-1</sup>), while the main effects of temperature for (D) A, (E) R+U, and (F) SFG. The numbers indicate significant differences in the measured values between each treatment level (p&lt;0.05).</p>
</caption>
<graphic mimetype="image" position="float" xlink:href="info:doi/10.1371/journal.pclm.0000142.g004" xlink:type="simple"/>
</fig>
<p>The amount of energy for catabolic processes (R+U) ranged from a high of 0.91 J h<sup>-1</sup> (low-CO<sub>2</sub> enrichment, 13.1°C) to a low of 0.26 J h<sup>-1</sup> (high-CO<sub>2</sub> enrichment, 6.1°C). The amount of catabolic energy did not change with CO<sub>2</sub> (p = 0.37, <xref ref-type="fig" rid="pclm.0000142.g004">Fig 4B</xref>), but increased significantly with warming (p&lt;0.01, <xref ref-type="fig" rid="pclm.0000142.g004">Fig 4E</xref>). Those two factors did not show interactive effects (p = 0.43, <xref ref-type="table" rid="pclm.0000142.t003">Table 3</xref>).</p>
<p>SFG varied from a high of 3.75 J h<sup>-1</sup> (low- CO<sub>2</sub> enrichment, 9.4°C) to a low of -0.01 J h<sup>-1</sup> (high-CO<sub>2</sub> enrichment, 6.1°C <xref ref-type="table" rid="pclm.0000142.t003">Table 3</xref>). As CO<sub>2</sub> increased, the SFG decreased (p = 0.03, <xref ref-type="fig" rid="pclm.0000142.g004">Fig 4C</xref>), with the medium-CO<sub>2</sub> enrichment behaving similarly to low-and high-CO<sub>2</sub> enrichments. Temperature significantly affected SFG (p&lt;0.01, <xref ref-type="fig" rid="pclm.0000142.g004">Fig 4F</xref>), with higher SFG at 9.4°C and 13.1°C relative to the lower temperatures. There was no interaction between CO<sub>2</sub> and temperature (p = 0.12, <xref ref-type="table" rid="pclm.0000142.t003">Table 3</xref>).</p>
</sec>
<sec id="sec013">
<title>Growth</title>
<p>At the experiment start, sea scallops were 20.81 ± 0.09 mm in shell height, 0.3764± 0.006 g in DSW and 0.0532 ± 0.005 g in DTW. Shell size increased during the 8-week exposure at all three CO<sub>2</sub> enrichment levels (<xref ref-type="table" rid="pclm.0000142.t004">Table 4</xref>). There was a significant difference in shell height increase between CO<sub>2</sub> treatments, with the medium-CO<sub>2</sub> enrichment having the largest net growth of 0.099± 0.030 mm d<sup>-1</sup> (p = 0.03). The low- and high-CO<sub>2</sub> enrichments resulted in similar growth rates of 0.096 ± 0.030 mm d<sup>-1</sup> and 0.088 ± 0.020 mm d<sup>-1</sup>, respectively. Net DTW growth throughout the experiment revealed no significant difference between the CO<sub>2</sub> enrichments (p = 0.10). On the contrary, there was a significant difference in net DSW daily growth rates (p = 0.02), with the low-CO<sub>2</sub> enrichment and medium-CO<sub>2</sub> enrichments having higher rates of 0.0047 ± 0.001 g d<sup>-1</sup> and 0.0048 ± 0.002 g d<sup>-1</sup>, respectively. The high-CO<sub>2</sub> enrichment had the lowest DSW growth (0.0042 ± 0.0002 g d<sup>-1</sup>).</p>
<table-wrap id="pclm.0000142.t004" position="float">
<object-id pub-id-type="doi">10.1371/journal.pclm.0000142.t004</object-id>
<label>Table 4</label> <caption><title>Means and standard error of daily growth rates of Atlantic sea scallops, <italic>Placopecten magellanicus</italic> over an 8-week exposure to different CO<sub>2</sub> enrichment levels (low, medium, and high).</title> <p>Shell height (mm) was measured from the umbo to the outer shell margin, dried tissue weight (DTW, g) and dried shell weight (DSW, g) were determined by rinsing, shucking the animal, and drying tissues and shells in an oven at 60°C until constant weight was achieved. The superscript numbers indicate significant differences in the measured values between each treatment level (p&lt;0.05).</p></caption>
<alternatives>
<graphic id="pclm.0000142.t004g" mimetype="image" position="float" xlink:href="info:doi/10.1371/journal.pclm.0000142.t004" xlink:type="simple"/>
<table>
<colgroup>
<col align="left" valign="middle"/>
<col align="left" valign="middle"/>
<col align="left" valign="middle"/>
<col align="left" valign="middle"/>
<col align="left" valign="middle"/>
</colgroup>
<thead>
<tr>
<th align="center" colspan="5">Treatment</th>
</tr>
<tr>
<th align="left"/>
<th align="center">low</th>
<th align="center">medium</th>
<th align="center">high</th>
<th align="center">P value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left"><bold>Height (mm d</bold><sup><bold>-1</bold></sup><bold>)</bold></td>
<td align="center">0.096± 0.030<sup>1,2</sup></td>
<td align="center">0.099± 0.030<sup>1</sup></td>
<td align="center">0.088±0.030<sup>2</sup></td>
<td align="center">p = 0.03</td>
</tr>
<tr>
<td align="left"><bold>DTW (g d</bold><sup><bold>-1</bold></sup><bold>)</bold></td>
<td align="center">0.0010±0.0001</td>
<td align="center">0.0010±0.0001</td>
<td align="center">0.0009±0.0001</td>
<td align="center">p = 0.10</td>
</tr>
<tr>
<td align="left"><bold>DSW (g d</bold><sup><bold>-1</bold></sup><bold>)</bold></td>
<td align="center">0.0047±0.0001<sup>1</sup></td>
<td align="center">0.0048±0.0002<sup>1</sup></td>
<td align="center">0.0042±0.0002<sup>2</sup></td>
<td align="center">p = 0.02</td>
</tr>
</tbody>
</table>
</alternatives>
</table-wrap>
</sec>
</sec>
<sec id="sec014" sec-type="conclusions">
<title>Discussion</title>
<p>Investigating physiological rates during OA experiments at CO<sub>2</sub> enrichments levels with natural temperature changes can provide information about how sea scallops are coping with changing environments. The salinities and temperatures experienced during the experiment for all three CO<sub>2</sub> enrichment levels were well within the tolerances of sea scallops [<xref ref-type="bibr" rid="pclm.0000142.ref001">1</xref>]. With respect to CO<sub>2</sub>, the low and medium levels were representative of concentrations that scallops currently experience in current habitat [<xref ref-type="bibr" rid="pclm.0000142.ref007">7</xref>–<xref ref-type="bibr" rid="pclm.0000142.ref009">9</xref>]; whereas, the high level was more representative of levels predicted between 2050–2100 [<xref ref-type="bibr" rid="pclm.0000142.ref010">10</xref>,<xref ref-type="bibr" rid="pclm.0000142.ref011">11</xref>]. Increased CO<sub>2</sub> enrichment resulted in less energy available for growth (lower SFG), which was reflected in shell height and DSW growth rates. The laboratory growth rates of the present study were comparable to growth rates measured in the field for Atlantic sea scallops [<xref ref-type="bibr" rid="pclm.0000142.ref051">51</xref>,<xref ref-type="bibr" rid="pclm.0000142.ref052">52</xref>], indicating that experimental conditions were comparable to the natural environment. At the levels investigated in this study, increased CO<sub>2</sub> affected only feeding variables (CR, OIR, AR, and AE), but warming affected all biological processes measured (CR, OIR, AR, AE, RR, and ER) for sea scallops. The ability of scallops to vary CR, OIR, AR, AE, RR, and ER with temperature changes has been well documented [<xref ref-type="bibr" rid="pclm.0000142.ref053">53</xref>,<xref ref-type="bibr" rid="pclm.0000142.ref054">54</xref>]; however, the effect of OA on feeding is still poorly understood but the significant differences in CR and OIR between low- and high-CO<sub>2</sub> enrichments suggest that feeding suppression may be occurring within this range. The lack of interaction between CO<sub>2</sub> and temperature levels relative to most of the energetic rates measured suggests that those physiological responses rely upon independent metabolic pathways. The data presented above highlights that sea scallops may have limited ability to regulate physiology to compensate for OA and that the physiological strategies to optimize energy when temperature varies may change with OA.</p>
<p>The metabolic costs of feeding are small [<xref ref-type="bibr" rid="pclm.0000142.ref055">55</xref>]; however, the ability to alter rates related to feeding can greatly change energy intake. In this study, increased CO<sub>2</sub> and temperature caused Atlantic sea scallops to vary multiple feeding variables (CR, OIR, AR, and AE). Recent research has demonstrated that increased CO<sub>2</sub> may decrease CR of different bivalve species. For blue mussels, <italic>M</italic>. <italic>edulis</italic>, a decrease in CR was observed at 976 μatm [<xref ref-type="bibr" rid="pclm.0000142.ref056">56</xref>], but in the mussel, <italic>Perumytilus purpuratus</italic>, CR decreased between 15 to 70% at concentrations &gt; 900 μatm relative to current conditions [<xref ref-type="bibr" rid="pclm.0000142.ref057">57</xref>]. The results presented here are consistent with these findings, with a 22% decrease in CR at the high CO<sub>2</sub> level (1164 μatm). With respect to temperature, CR typically will increase until the optimal temperature of the organism is reached, above which filtration is expected to decrease sharply and cease as temperature approaches the organism’s upper temperature limit [<xref ref-type="bibr" rid="pclm.0000142.ref058">58</xref>]. The change in CR with temperature presented here was consistent with previously measured CR in sea scallops [<xref ref-type="bibr" rid="pclm.0000142.ref053">53</xref>,<xref ref-type="bibr" rid="pclm.0000142.ref054">54</xref>]. Furthermore, Frenette [<xref ref-type="bibr" rid="pclm.0000142.ref053">53</xref>] recorded the highest CR at 8.0°C, which was comparable to our results with the highest CR recorded at 9.4°C. The movement of water enabling CR relies upon gill ciliary activity, suggesting that the neuroendocrine system, which controls cilia movement, might be physiologically shifting ciliary activity to respond to environmental changes in CO<sub>2</sub> and temperature. The lack of interaction between CO<sub>2</sub> and temperature also suggests that the biochemical pathways responding to ρCO<sub>2</sub> and temperature might be different. Further experiments would be needed to test this hypothesis at wider ranges of CO<sub>2</sub> and temperatures to explore if this lack of interaction is maintained throughout the thermal tolerance range of sea scallops and at other CO<sub>2</sub> levels.</p>
<p>Catecholamines have roles associated with neurotransmitters, neuromodulators, and hormones involved in maintaining the allostasis of an organism [<xref ref-type="bibr" rid="pclm.0000142.ref059">59</xref>] and responding to stress conditions [<xref ref-type="bibr" rid="pclm.0000142.ref060">60</xref>]. Evidence suggests that these compounds play important roles in responding to abiotic (e.g., high temperature, salinity, oxygen variability) and biotic (e.g., bacterial) changes in the environment [<xref ref-type="bibr" rid="pclm.0000142.ref061">61</xref>]. Specifically, both serotonin (5-HT) and dopamine (DA) receptors located in the gills of bivalves are thought to regulate ciliary activity [<xref ref-type="bibr" rid="pclm.0000142.ref061">61</xref>,<xref ref-type="bibr" rid="pclm.0000142.ref062">62</xref>]. Serotonin has been linked to increased ciliary movement [<xref ref-type="bibr" rid="pclm.0000142.ref063">63</xref>], but dopamine has been linked to decreased ciliary movement [<xref ref-type="bibr" rid="pclm.0000142.ref064">64</xref>,<xref ref-type="bibr" rid="pclm.0000142.ref065">65</xref>]. The observed changes in CR suggest that the pumping rate–volume of water moving through the sea scallop–decreases under high CO<sub>2</sub> but increases with temperature. Dopamine receptors in bivalves inhibit the production of adenylyl cyclase (AC) [<xref ref-type="bibr" rid="pclm.0000142.ref066">66</xref>,<xref ref-type="bibr" rid="pclm.0000142.ref067">67</xref>] which, once produced, acts as a metabolic sensor regulating ATP production and maintaining acid-base balance by sensing bicarbonate ions [<xref ref-type="bibr" rid="pclm.0000142.ref068">68</xref>]. As CO<sub>2</sub> increases in seawater, the observed decrease in CR suggests that dopamine receptors may be activated, slowing cilia beat and decreasing the production of AC. In contrast to the OA response, CR in this study increased with temperature. The observed response is consistent with research that suggests that serotonin levels increase at higher temperatures, resulting in more water movement (higher CR) [<xref ref-type="bibr" rid="pclm.0000142.ref069">69</xref>]. Further research on how these receptors respond to environmental change would provide confirming insight into the mechanisms by which this species may adapt to climate change.</p>
<p>In addition to the feeding functions CR/OIR, AE also can be altered according to CO<sub>2</sub> and temperature conditions to maintain nutritional requirements necessary for growth. In bivalves, a trade-off between food ingestion and AE allows energy intake to be maintained through a continuum between two strategies: rate (high OIR, relatively low AE) <italic>versus</italic> yield (low OIR, high AE) [<xref ref-type="bibr" rid="pclm.0000142.ref070">70</xref>]. With respect to CO<sub>2,</sub> it appears that sea scallops were not able to increase AE when OIR was lower and <italic>vice versa</italic>. This behavior was also observed for <italic>M</italic>. <italic>galloprovincialis</italic>, which decreased AE with increasing CO<sub>2</sub> [<xref ref-type="bibr" rid="pclm.0000142.ref071">71</xref>]. With respect to temperature, as OIR increased, a decrease in AE resulted in a constant AR for all temperatures but for 6.1°C, which may be because this is approaching the lower temperature range at which Atlantic sea scallops actively feed [<xref ref-type="bibr" rid="pclm.0000142.ref072">72</xref>]. With respect to the interaction between CO<sub>2</sub> enrichment and temperature, at low CO<sub>2</sub> enrichment, an inverse U shape response for AE was observed, but as CO<sub>2</sub> increased, the inverse U shape collapsed (<xref ref-type="table" rid="pclm.0000142.t003">Table 3</xref>). With low CO<sub>2</sub> enrichment, AE was higher at 7.4°C than 6.1°C, but this increase in AE was delayed until 9.4°C at the highest CO<sub>2</sub> enrichment. This suggests that the thermal performance of AE for sea scallops may be reduce with OA. Even though it was beyond the scope of this manuscript, a plausible explanation for this observed change in AE is that the combined effect of CO<sub>2</sub> and temperature may be changing activity of digestive enzymes for sea scallops. Under OA, there was an observed change in metabolic substrate from carbohydrates to protein for <italic>Chiamys farreri</italic> [<xref ref-type="bibr" rid="pclm.0000142.ref073">73</xref>] and <italic>M</italic>. <italic>coruscus</italic> [<xref ref-type="bibr" rid="pclm.0000142.ref074">74</xref>,<xref ref-type="bibr" rid="pclm.0000142.ref075">75</xref>], resulting in changes in digestive enzymes to protein catabolism [<xref ref-type="bibr" rid="pclm.0000142.ref073">73</xref>–<xref ref-type="bibr" rid="pclm.0000142.ref075">75</xref>]. Digestive enzymes have also been observed to change under different temperatures in terms of how they process lipids, fatty acids, and proteins [<xref ref-type="bibr" rid="pclm.0000142.ref075">75</xref>,<xref ref-type="bibr" rid="pclm.0000142.ref076">76</xref>], with protein catabolism occurring near the temperature tolerance thresholds of an organism [<xref ref-type="bibr" rid="pclm.0000142.ref077">77</xref>]. For <italic>M</italic>. <italic>coruscus</italic>, the combined effect of OA and temperature had a more important effect on changing digestive enzymes than when each was changed singularly [<xref ref-type="bibr" rid="pclm.0000142.ref075">75</xref>]. Even though this experiment did not investigate digestive enzyme activity, the ER and O:N ratio may provide insight into whether or not metabolic processes may have changed from carbohydrate to protein metabolism.</p>
<p>In the present study, the interaction between CO<sub>2</sub> enrichment and temperature in the ER data suggests that temperature does not affect ammonia excretion for sea scallops the same way at the three CO<sub>2</sub> enrichment levels. ER measures the waste product derived from protein catabolism through nitrogen and oxidative reactions [<xref ref-type="bibr" rid="pclm.0000142.ref078">78</xref>,<xref ref-type="bibr" rid="pclm.0000142.ref079">79</xref>]. As a result of this interaction, O:N ratio that is calculated from ER also showed an interaction between CO<sub>2</sub> and temperature. In the Atlantic sea scallop, under normal diet and temperature, the O:N ratio has been reported to vary from 12 to 20, with pure protein catabolism at an O:N ratio of 8 [<xref ref-type="bibr" rid="pclm.0000142.ref017">17</xref>]. At low-CO<sub>2</sub> enrichment and temperatures of 7.4 and 9.4°C, the O:N ratios were &gt;10 and significantly different than the other two temperatures (<xref ref-type="table" rid="pclm.0000142.t003">Table 3</xref>) suggesting that protein catabolism was minor at these temperatures; however, at 6.1°C and 13.1°C the O:N ratio was &lt; 9. Pectinid in general have lower O:N ratios than other bivalves because they favor protein as a source of energy [<xref ref-type="bibr" rid="pclm.0000142.ref054">54</xref>]. Pectinid are able to swim with 60% of the energy demands coming from protein degradation [<xref ref-type="bibr" rid="pclm.0000142.ref080">80</xref>], partially explaining the lower O:N ratio relative to other bivalve species (<italic>M</italic>. <italic>edulis</italic> are considered stressed when O:N ratios are lower than 30 with tissue growth periods around 50; [<xref ref-type="bibr" rid="pclm.0000142.ref081">81</xref>]). The food (TSM, PIM, and POM, <xref ref-type="supplementary-material" rid="pclm.0000142.s001">S1 Fig</xref>) was similar among temperatures suggesting that diet was most likely not causing the low O:N ratios at 6.1°C and 13.1°C and indicating that more protein catabolism was likely occurring. At medium- and high-CO<sub>2</sub> enrichment, the O:N ratios were consistently similar to each other and near or &lt;10 regardless of the temperature, further suggesting that protein catabolism was occurring continuously. Lower O:N ratios with increased CO<sub>2</sub> have been observed for <italic>Spisula solidissima</italic> [<xref ref-type="bibr" rid="pclm.0000142.ref020">20</xref>], <italic>M</italic>. <italic>edulis</italic> [<xref ref-type="bibr" rid="pclm.0000142.ref082">82</xref>], and <italic>Tegillarca granosa</italic> [<xref ref-type="bibr" rid="pclm.0000142.ref078">78</xref>]. For oxidative metabolism, 1 g of protein requires 0.94 L of oxygen, but lipids and carbohydrates require 2.04 L for the same mass of lipids. Furthermore, when lipids and carbohydrates are used as energy sources, CO<sub>2</sub> is produced in larger quantities, which may not be favorable in a high-CO<sub>2</sub> environment. Under high ρCO<sub>2</sub> conditions protein catabolism provides a pool of amino acids that contribute to intracellular osmoregulation in bivalves [<xref ref-type="bibr" rid="pclm.0000142.ref083">83</xref>], and produces ammonia waste that can be used to buffer intracellular pH [<xref ref-type="bibr" rid="pclm.0000142.ref084">84</xref>]. By favoring proteins, the energy yield is 23.5 kJ g<sup>-1</sup> as compared to 36.4 kJ g<sup>-1</sup> and 17.2 kJ g<sup>-1</sup> for lipids and carbohydrates, respectively [<xref ref-type="bibr" rid="pclm.0000142.ref085">85</xref>]. The interaction between AE, ER, and O:N suggests that sea scallop may be changing metabolic substrates and digestive enzyme activity to higher protein catabolism under OA. The shift to protein metabolism may help with energy shortage in a short period of time, but the long term effects of increased protein metabolism at higher CO<sub>2</sub> should be further investigated, including how swimming ability may be impaired, as sea scallops rely upon protein degradation to swim.</p>
<p>Concerning growth markers, this 8-week experiment showed different results between shell and tissue measurements. Significant results attributable to OA were visible only on shell height and DSW, but not in DTW. This observation appears counterintuitive, as, under typical environmental conditions, shell weight is less variable than tissue weight that changes with reproductive and/or somatic tissues growth or weight loss when trophic conditions are poor; however, with sufficient food, as in this study, the decrease in growth may be attributed to CO<sub>2</sub> enrichment. Net shell growth being a combination of CaCO<sub>3</sub> deposition and dissolution, the high CO<sub>2</sub> that induces direct (increased dissolution) and indirect (less energy available; [<xref ref-type="bibr" rid="pclm.0000142.ref086">86</xref>]) effects contribute to reduced shell growth. In comparison, tissue growth is altered only by the OA effect on bioenergetics, which explains why the effect on shell may be observed before the effect on soft tissues. Nevertheless, at a longer time scale, soft tissues can be expected to be also affected by OA as described for <italic>C</italic>. <italic>gigas</italic> [<xref ref-type="bibr" rid="pclm.0000142.ref087">87</xref>] and <italic>Spisula solidissima</italic> [<xref ref-type="bibr" rid="pclm.0000142.ref020">20</xref>].</p>
<p>Sea scallop habitat from the Georges Bank (GB) to the Mid-Atlantic Bight (MAB) has been experiencing rapid warming [<xref ref-type="bibr" rid="pclm.0000142.ref012">12</xref>–<xref ref-type="bibr" rid="pclm.0000142.ref014">14</xref>] and acidification [<xref ref-type="bibr" rid="pclm.0000142.ref008">8</xref>,<xref ref-type="bibr" rid="pclm.0000142.ref009">9</xref>], resulting in more days during which sea scallops are exposed to higher temperature and enriched CO<sub>2</sub> water. The MAB has higher temperatures, with less acidification, while GB has lower temperatures with higher acidification. Recent SFG modeling of sea scallop suggests that the MAB population may be more susceptible to temperature variations than the GB populations [<xref ref-type="bibr" rid="pclm.0000142.ref003">3</xref>]. The results presented here concur with these findings that increased temperature may be a major driver of sea scallop growth in the MAB; however, these results suggest that CO<sub>2</sub> concentrations should also be considered. Incorporating the results of this study into individual based models such as those relying on dynamic energy budget theory, or scope for growth models can help address how scallop population dynamics may change over time under climate change.</p>
<p>The effects of temperature and OA upon calcification rate, survival, extrapallial fluid carbonate chemistry, and respiration rates in sea scallops were recently reported [<xref ref-type="bibr" rid="pclm.0000142.ref088">88</xref>]. Some of our findings presented here are not consistent with those of reported [<xref ref-type="bibr" rid="pclm.0000142.ref088">88</xref>] which may be attributable at least partially to experimental conditions and sampling regime that led to high mortality and no growth of individuals exposed to a calcite saturation index less than 2.5 and temperatures between 6–12°C. Their results also found no difference in respiration with temperature, which is contrary to the results here and previous research with sea scallops [<xref ref-type="bibr" rid="pclm.0000142.ref053">53</xref>,<xref ref-type="bibr" rid="pclm.0000142.ref054">54</xref>]. We did not observe any differences in survival between CO<sub>2</sub> treatments or with temperature change (only 1 individual died within the first 2 weeks of this experiment) and our results showed net growth (<xref ref-type="table" rid="pclm.0000142.t004">Table 4</xref>), similar to what has been observed in the field [<xref ref-type="bibr" rid="pclm.0000142.ref052">52</xref>]. Overall, although age and time exposure to temperature and OA treatments may contribute, differences in the results presented here and those of Cameron et al. [<xref ref-type="bibr" rid="pclm.0000142.ref088">88</xref>] may be attributable in large part to differences in the trophic environment at which sea scallops have been exposed to. Our scallops had water flow rates 10x higher than their treatments, were continuously fed at a higher quantity of phytoplankton (food was not limiting)- which raises the question about the effect of food quantity/quality on sea scallops responses-, were exposed to OA and temperatures for a shorter durations, and this study used juveniles, not adults. Even though there are stark differences between our results and those of Cameron et al. [<xref ref-type="bibr" rid="pclm.0000142.ref088">88</xref>], there was a consistency with DSW decreasing with increasing CO<sub>2</sub>. This suggests that even with short-term exposures between 805 μatm and 1168 μatm, shell properties may change quickly under OA conditions.</p>
<p>Changes in bivalve feeding have been shown to vary with the food quality and quantity [<xref ref-type="bibr" rid="pclm.0000142.ref089">89</xref>,<xref ref-type="bibr" rid="pclm.0000142.ref090">90</xref>], and with changes in salinity [<xref ref-type="bibr" rid="pclm.0000142.ref091">91</xref>]. For this experiment, changes in salinity were minor (<xref ref-type="fig" rid="pclm.0000142.g001">Fig 1</xref>, 30.29 to 31.40) and food was <italic>ad libitum</italic>; however, we acknowledge that any slight variation may have some effect on physiological feeding measurements. Even though the seawater delivered in the experimental tanks was supplemented with a controlled amount of algae, variations in TSM or in the microalgal composition of the raw seawater may have affected the feeding behavior of scallops. Nevertheless, the effect of TSM would be limited, as this variable was different only one day (third physiological rate measurement at the temperature of 7.4°C). Even with these limitations, the data provide useful physiological information about how sea scallops respond to the changing environments in which they live.</p>
<p>This study presents some of the first results on Atlantic sea scallop physiological responses to increased CO<sub>2</sub> under different temperatures during a season. Our results suggest that Atlantic sea scallops bioenergetics will be affected by OA levels projected for the next century with lower energy intake. To what extent this change will affect growth and reproduction at a full life cycle and what could be the consequences for population dynamics and ecosystem remains to be defined. Bioenergetics models such as those based upon dynamic energy budget theory could provide insight into long-term prospects for this highly valuable fishery when coupled with accurate regional models of carbonate chemistry conditions.</p>
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<sec id="sec015" sec-type="supplementary-material">
<title>Supporting information</title>
<supplementary-material id="pclm.0000142.s001" mimetype="image/tiff" position="float" xlink:href="info:doi/10.1371/journal.pclm.0000142.s001" xlink:type="simple">
<label>S1 Fig</label>
<caption>
<title/>
<p>Boxplots of (A) total suspended matter (TSM, mg L<sup>-1</sup>), (B) particulate inorganic matter (PIM, mg L<sup>-1</sup>), and (C) particulate organic matter (POM, mg L<sup>-1</sup>) measured during biodeposition. The temperature was not controlled and varied naturally with the season with temperature measuring 6.1°C on 12/18/2019, 7.4°C on 12/2/2019, 9.4°C on 11/19/2022, and 13.1°C on 11/6/2019. Different homogeneous groups (p&lt;0.05) are indicated by lower case letters using a Kruskal-Wallis test.</p>
<p>(TIF)</p>
</caption>
</supplementary-material>
<supplementary-material id="pclm.0000142.s002" mimetype="image/tiff" position="float" xlink:href="info:doi/10.1371/journal.pclm.0000142.s002" xlink:type="simple">
<label>S2 Fig</label>
<caption>
<title>Equation fitting of physiological rates: clearance rate (CR; A, n = 60), respiration rate (RR; B, N = 74) and excretion rate (ER; C, n = 78) for sea scallops, <italic>Placopecten magellanicus</italic>.</title>
<p>Rates for sea scallop were standardized at 12°C. Lines were fitted from Y<sub>e</sub> = aW<sup>b</sup>, with Y<sub>e</sub> the temperature corrected physiological rate and W the dry tissue weight (mg) for sea scallop. The power equation and r<sup>2</sup> are reported.</p>
<p>(TIF)</p>
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</supplementary-material>
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<ack>
<p>This work would not be possible without the help of Anna Alvarado, Eva Blanc, Lena Donnarumma, Heather Gaughan, Jack Gerrior, Kristen Jabanoski, Melissa Krisak, David Veilleux and for helping throughout the experiment. Lastly, we thank Renee Mercaldo-Allen for proofreading the manuscript. The use of name brand products does not imply endorsement.</p>
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<ref-list>
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