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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Mar. Sci.</journal-id>
<journal-title>Frontiers in Marine Science</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Mar. Sci.</abbrev-journal-title>
<issn pub-type="epub">2296-7745</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fmars.2022.862172</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Marine Science</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>The Potential of Kelp <italic>Saccharina japonica</italic> in Shielding Pacific Oyster <italic>Crassostrea gigas</italic> From Elevated Seawater <italic>p</italic>CO<sub>2</sub> Stress</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Jiang</surname><given-names>Zengjie</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="author-notes" rid="fn001"><sup>*</sup></xref>
<xref ref-type="author-notes" rid="fn003"><sup>&#x2020;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/966673"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Jiang</surname><given-names>Weiwei</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn003"><sup>&#x2020;</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Rastrick</surname><given-names>Samuel P. S.</given-names>
</name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wang</surname><given-names>Xiaoqin</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Fang</surname><given-names>Jinghui</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Du</surname><given-names>Meirong</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1733863"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Gao</surname><given-names>Yaping</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1732582"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Mao</surname><given-names>Yuze</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Strand</surname><given-names>&#xd8;ivind</given-names>
</name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Fang</surname><given-names>Jianguang</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Key Laboratory of Sustainable Development of Marine Fisheries, Ministry of Agriculture and Rural Affairs, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences</institution>, <addr-line> Qingdao</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>Laboratory for Marine Fisheries Science and Food Production Processes, Qingdao National Laboratory for Marine Science and Technology</institution>, <addr-line>Qingdao</addr-line>, <country>China</country></aff>
<aff id="aff3"><sup>3</sup><institution>Benthic Resources, Institute of Marine Research</institution>, <addr-line>Bergen</addr-line>, <country>Norway</country></aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Wei Huang, Ministry of Natural Resources, China</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Youji Wang, Shanghai Ocean University, China; Pedro Range, Qatar University, Qatar</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Zengjie Jiang, <email xlink:href="mailto:jiangzj@ysfri.ac.cn">jiangzj@ysfri.ac.cn</email>
</p>
</fn>
<fn fn-type="equal" id="fn003">
<p>&#x2020;These authors have contributed equally to this work</p>
</fn>
<fn fn-type="other" id="fn002">
<p>This article was submitted to Marine Fisheries, Aquaculture and Living Resources, a section of the journal Frontiers in Marine Science</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>19</day>
<month>05</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>9</volume>
<elocation-id>862172</elocation-id>
<history>
<date date-type="received">
<day>25</day>
<month>01</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>19</day>
<month>04</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2022 Jiang, Jiang, Rastrick, Wang, Fang, Du, Gao, Mao, Strand and Fang</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Jiang, Jiang, Rastrick, Wang, Fang, Du, Gao, Mao, Strand and Fang</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<p>Ocean acidification (OA) caused by elevated atmospheric CO<sub>2</sub> concentration is predicted to have negative impacts on marine bivalves in aquaculture. However, to date, most of our knowledge is derived from short-term laboratory-based experiments, which are difficult to scale to real-world production. Therefore, field experiments, such as this study, are critical for improving ecological relevance. Due to the ability of seaweed to absorb dissolved carbon dioxide from the surrounding seawater through photosynthesis, seaweed has gained theoretical attention as a potential partner of bivalves in integrated aquaculture to help mitigate the adverse effects of OA. Consequently, this study investigates the impact of elevated <italic>p</italic>CO<sub>2</sub> on the physiological responses of the Pacific oyster <italic>Crassostrea gigas</italic> in the presence and absence of kelp (<italic>Saccharina japonica</italic>) using <italic>in situ</italic> mesocosms. For 30 days, mesocosms were exposed to six treatments, consisting of two <italic>p</italic>CO<sub>2</sub> treatments (500 and 900 &#x3bc;atm) combined with three biotic treatments (oyster alone, kelp alone, and integrated kelp and oyster aquaculture). Results showed that the clearance rate (CR) and scope for growth (SfG) of <italic>C. gigas</italic> were significantly reduced by elevated <italic>p</italic>CO<sub>2</sub>, whereas respiration rates (MO<sub>2</sub>) and ammonium excretion rates (ER) were significantly increased. However, food absorption efficiency (AE) was not significantly affected by elevated <italic>p</italic>CO<sub>2</sub>. The presence of <italic>S. japonica</italic> changed the daytime pH<sub>NBS</sub> of experimental units by ~0.16 units in the elevated <italic>p</italic>CO<sub>2</sub> treatment. As a consequence, CR and SfG significantly increased and MO<sub>2</sub> and ER decreased compared to <italic>C. gigas</italic> exposed to elevated <italic>p</italic>CO<sub>2</sub> without <italic>S. japonica.</italic> These findings indicate that the presence of <italic>S. japonica</italic> in integrated aquaculture may help shield <italic>C. gigas</italic> from the negative effects of elevated seawater <italic>p</italic>CO<sub>2</sub>.</p>
</abstract>
<kwd-group>
<kwd><italic>Saccharina japonica</italic>
</kwd>
<kwd><italic>Crassostrea gigas</italic>
</kwd>
<kwd>elevated seawater <italic>p</italic>CO<sub>2</sub>
</kwd>
<kwd>mesocosm</kwd>
<kwd>physiological responses</kwd>
</kwd-group>
<counts>
<fig-count count="6"/>
<table-count count="1"/>
<equation-count count="4"/>
<ref-count count="62"/>
<page-count count="10"/>
<word-count count="5384"/>
</counts>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>Ocean acidification (OA) caused by elevated concentrations of atmospheric CO<sub>2</sub> is one of the most serious environmental issues facing the world in the 21st century. Multiple studies have indicated that this more acidic oceanic environment will have negative consequences for marine life, such as decreasing calcification rates and impairing feeding, respiration, and physiological energetics (<xref ref-type="bibr" rid="B21">Gazeau et&#xa0;al., 2007</xref>; <xref ref-type="bibr" rid="B46">Rastrick et&#xa0;al., 2018a</xref>; <xref ref-type="bibr" rid="B30">Jiang et&#xa0;al., 2021</xref>). Damage to marine organisms by OA is likely to alter coastal biodiversity, ecosystem functioning and services, and global marine harvests (<xref ref-type="bibr" rid="B13">Cooley et&#xa0;al., 2009</xref>; <xref ref-type="bibr" rid="B1">Barry et&#xa0;al., 2011</xref>). Calcifying marine organisms such as molluscs, crustaceans, corals, and planktonic calcifies are predicted to be particularly sensitive due to the additional costs associated with calcification and maintenance of calcified structures (<xref ref-type="bibr" rid="B17">Fabry et&#xa0;al., 2008</xref>; <xref ref-type="bibr" rid="B24">Hofmann et&#xa0;al., 2010</xref>; <xref ref-type="bibr" rid="B19">Findlay et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B45">Rastrick et&#xa0;al., 2014</xref>). Marine bivalves are calcifying ecosystem engineers, which are important in ecosystem functioning and aquaculture (<xref ref-type="bibr" rid="B14">Cranford et&#xa0;al., 2012</xref>). In accordance with their ecological and commercial relevance, the interest in OA research on bivalves is growing steadily and has increased particularly in recent years (e.g., <xref ref-type="bibr" rid="B4">Berge et&#xa0;al., 2006</xref>; <xref ref-type="bibr" rid="B15">Cummings et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B35">Li et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B62">Zhao et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B46">Rastrick et&#xa0;al., 2018a</xref>; <xref ref-type="bibr" rid="B52">Tan and Zheng, 2019</xref>). Evidence from several previous studies suggests that elevated seawater <italic>p</italic>CO<sub>2</sub> affects calcification (e.g., <xref ref-type="bibr" rid="B49">Ries et&#xa0;al., 2009</xref>; <xref ref-type="bibr" rid="B39">Melzner et&#xa0;al., 2011</xref>), growth (e.g., <xref ref-type="bibr" rid="B54">Thomsen et&#xa0;al., 2010</xref>; <xref ref-type="bibr" rid="B32">Kroeker et&#xa0;al., 2013</xref>), burrowing behavior (e.g., <xref ref-type="bibr" rid="B10">Clements et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B43">Peng et&#xa0;al., 2017</xref>), energetics (e.g., <xref ref-type="bibr" rid="B57">Wang et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B62">Zhao et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B46">Rastrick et&#xa0;al., 2018a</xref>) and immune response (e.g., <xref ref-type="bibr" rid="B5">Bibby et&#xa0;al., 2008</xref>; <xref ref-type="bibr" rid="B61">Zha et&#xa0;al., 2017</xref>) in bivalves such as oysters, mussels, and clams. However, much of the published information on bivalves comes from short-term laboratory-based manipulative experiments, which reduces the generalizability of results to real-world situations. With the increasing demand for improving the ecological validity of OA studies, it is necessary to scale up the methodology from laboratory- to field-level (<xref ref-type="bibr" rid="B48">Riebesell et&#xa0;al., 2008</xref>; <xref ref-type="bibr" rid="B47">Rastrick et&#xa0;al., 2018b</xref>).</p>
<p>The Pacific oyster, <italic>Crassostrea gigas</italic>, is one of the most important ecologically and economically cultured bivalves worldwide, with a global mariculture production of 643 thousand tons in 2018 (<xref ref-type="bibr" rid="B18">FAO, 2020</xref>). The effects of OA on the Pacific oyster have been well documented. Previous studies show that early developmental stages of oysters are more susceptible to increased seawater <italic>p</italic>CO<sub>2</sub> (<xref ref-type="bibr" rid="B33">Kurihara et&#xa0;al., 2007</xref>; <xref ref-type="bibr" rid="B20">Gazeau et&#xa0;al., 2011</xref>). (<xref ref-type="bibr" rid="B2">Barton et&#xa0;al. 2012; 2015</xref>) reported that larval production and mid-stage growth (~120 to ~150 mm) of <italic>C. gigas</italic> showed a significantly negative correlation to naturally elevated carbon dioxide levels and clearly linked increased CO<sub>2</sub> to the cause of severe loss of production at the Whiskey Creek Shellfish Hatchery on the Oregon coast. The calcification rates of <italic>C. gigas</italic> have been predicted to decline by 10% following the IPCC IS92a scenario (~740 ppmv in 2,100) (<xref ref-type="bibr" rid="B21">Gazeau et&#xa0;al., 2007</xref>). Negative impacts of elevated <italic>p</italic>CO<sub>2</sub> to <italic>C. gigas</italic> acid&#x2013;base status and immune response have also been reported by <xref ref-type="bibr" rid="B34">Lannig et&#xa0;al. (2010)</xref> and <xref ref-type="bibr" rid="B56">Wang et&#xa0;al. (2016)</xref>. Despite increased understanding of the potential impacts of OA on Pacific oysters, studies regarding the physiological effects of OA on <italic>C. gigas</italic> under natural systems are scarce. Furthermore, there is still a lack of effective ways for the oyster aquaculture industry to help mitigate the potential negative impacts of OA.</p>
<p>Previous studies have postulated that Integrated Multi-Trophic Aquaculture (IMTA) may be a possible and sustainable solution to help mitigate some of the effects of climate change on production (<xref ref-type="bibr" rid="B11">Clements and Chopin, 2016</xref>; <xref ref-type="bibr" rid="B53">Tan and Zheng, 2020</xref>). The term &#x201c;IMTA&#x201d; refers to the combined aquaculture of various organisms at different trophic levels with complementary ecosystem functions in which the wastes and by-products from one species serve as the food source for one or a number of other species (<xref ref-type="bibr" rid="B7">Chopin, 2013</xref>). The seaweed aquaculture sector may be one of the key components of IMTA systems (<xref ref-type="bibr" rid="B8">Chopin, 2014</xref>). Seaweed within IMTA is traditionally regarded as a source of nutrient removal from the seawater of the nearby bivalve farms and plays a role in the bioremediation and ecological regulation of the aquaculture environment. Seaweed also has the ability to add oxygen and absorb dissolved carbon dioxide from the surrounding seawater through photosynthesis, producing biomass and contributing to carbon sequestration. It has been reported that ~0.34 million t carbon is removed from the coastal ecosystems each year by seaweed harvesting (<xref ref-type="bibr" rid="B51">Tang et&#xa0;al., 2011</xref>). The sea&#x2013;air CO<sub>2</sub> flux is enhanced by seaweed aquaculture (<xref ref-type="bibr" rid="B27">Jiang et&#xa0;al., 2013</xref>). Bay scale dissolved inorganic carbon (DIC) budget research showed that the annual DIC uptake by seaweed <italic>Saccharina japonica</italic> and <italic>Gracilaria lemaneiformis</italic> was about 1.0 &#xd7; 10<sup>5</sup> t in Sanggou Bay, which drove the bay as a net DIC sink (<xref ref-type="bibr" rid="B28">Jiang et&#xa0;al., 2015</xref>). By sequestering carbon dioxide dissolved in seawater, seaweed plays a potential role in reducing OA and its biological effects on a local scale. An interesting study on the effect of dissolved CO<sub>2</sub> levels (0, 100, 200, 250, and 300 ppm) on the dissolution rate of the outer shells of dead mollusks and spines of sea urchins in the presence and absence of seaweed, <italic>Chaetomorpha antennina</italic>, showed that the weight loss of the samples was curbed when seaweed was introduced (<xref ref-type="bibr" rid="B31">Kaladharan et&#xa0;al., 2019</xref>). In the coastal regions of southern Korea, an innovative research approach called the Coastal CO<sub>2</sub> Removal Belt (CCRB) has established a pilot farm of perennial brown alga, <italic>Eklonia calva</italic>, which sequesters ~10 t of CO<sub>2</sub> per ha per year (<xref ref-type="bibr" rid="B9">Chung et&#xa0;al., 2013</xref>). <xref ref-type="bibr" rid="B26">Jiang et&#xa0;al. (2014)</xref> carried out a mesocosm experiment to monitor the function of seaweed <italic>G. lemaneiformis</italic> in eliminating dissolved inorganic carbon released from the calcification and respiration processes of the scallop <italic>Chlamys farreri</italic>. The results showed that seaweed and bivalve integrated aquaculture practice can not only effectively balance the seawater carbonate system but also buffer acidification. However, although the ecological and economic benefits of IMTA have been highlighted, the role of seaweed within IMTA in mitigating the impacts of OA on bivalves (e.g., physiological activities, energy allocation and growth, etc.) needs further investigation, especially within natural systems.</p>
<p>The goal of this research was to examine: (1) whether the physiological processes and net energy balance of <italic>C. gigas</italic> were affected after medium-term exposure (30 days) to elevated <italic>p</italic>CO<sub>2</sub> and (2) whether the presence of <italic>S. japonica</italic> could help mitigate these biological effects of elevated <italic>p</italic>CO<sub>2</sub> on <italic>C. gigas</italic> within a natural system.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<title>Materials and Methods</title>
<sec id="s2_1">
<title>Animal Collection and Acclimatization</title>
<p>Experimental oysters (56.37 &#xb1; 8.20 mm shell length, 29.67 &#xb1; 3.91 g wet weight) and kelps (70&#x2013;80 cm length) were collected on 7 May 2017 from a large-scale commercial aquaculture area (37&#xb0;03&#x2032;52.17&#x2033;N, 122&#xb0;33&#x2032;11.54&#x2033;E) in Sanggou Bay, Yellow Sea, China. All specimens were transported on ice to a small semi-enclosed harbor (37&#xb0;02&#x2032;14.71&#x2033;N, 122&#xb0;33&#x2032;02.09&#x2033;E; area 7900 m<sup>2</sup>; mean depth 1.5 m). The oysters were cleaned and maintained in flowing seawater in <italic>in situ</italic> mesocosms at ambient conditions (temperature ~19.0&#xb0;C, salinity ~32, and seawater pH<sub>NBS</sub> ~8.10) for one week before the start of the experiment. One hundred and thirty healthy oysters were selected and individually labeled with a plastic-laminated number on the upper valve.</p>
</sec>
<sec id="s2_2">
<title>Experimental Setup and Procedure</title>
<p>Experiments were conducted using <italic>in situ</italic> mesocosms with six treatments: three biotic treatments (namely &#x201c;oyster alone&#x201d;, &#x201c;kelp alone,&#x201d; and &#x201c;integrated aquaculture&#x201d;), crossed with two <italic>p</italic>CO<sub>2</sub> treatments (ambient, ~500 &#x3bc;atm and elevated, ~900 &#x3bc;atm). Each of the six treatments was replicated three times, for a total of 18 mesocosms. The mesocosms were suspended from a floating platform. Each sealed mesocosm was made of translucent polyethylene and was cylinder-shaped (0.5 m &#xd7; 1.2 m, diameter &#xd7; height) (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1</bold></xref>). Inlet and outlet valves allow for the control of seawater flow through each mesocosm. The top of each mesocosm was immersed to a depth of ~30 cm with the inlet and outlet pipes (<italic>&#x3a6;</italic> ~3 cm) extending ~50 cm above the water surface. The inlet pipe extended to the bottom of each mesocosm, allowing water mixing and preventing gradients from forming within the mesocosm.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Schematic diagram of the pH controlling and mesocosm system.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-09-862172-g001.tif"/>
</fig>
<p>Elevated <italic>p</italic>CO<sub>2</sub> treatment was controlled by enriching natural seawater with CO<sub>2</sub> (from a CO<sub>2</sub> gas cylinder) in a submerged 1,000 L reservoir tank suspended from the same floating platform as the mesocosms (modified from <xref ref-type="bibr" rid="B45">Rastrick et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B29">Jiang et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B30">Jiang et&#xa0;al., 2021</xref>). The flow of pure CO<sub>2</sub> to the reservoir tank was controlled <italic>via</italic> a pH controller (Aqua Medic GmbH, Germany) by switching on or off a valve when pH readings in the tank deviated from the predetermined set-points by &#xb1;0.05 pH units. The acidified seawater was then pumped to each elevated <italic>p</italic>CO<sub>2</sub> mesocosm <italic>via</italic> flow rate controllers (60 L h<sup>&#x2212;1</sup>). As the CO<sub>2</sub>-adjusted seawater was pumped out of the reservoir tank, it was replaced with natural ambient seawater using an automatic pump triggered by changes in volume within the tank. This gave a seawater residence time in the reservoir tank of just under an hour. Pumps in the reservoir tank prevented the formation of CO<sub>2</sub> or temperature gradients, and the ambient temperature was maintained due to the submersion of the reservoir tank and the mesocosms.</p>
<p>Each &#x201c;oyster alone&#x201d; treatment contained 8 oysters hugged along a rope tied at the top of the mesocosm to simulate farm conditions. The kelp alone treatment contained 1 blade with holdfasts (70&#x2013;80 cm length) that were tied at the top of the mesocosm to keep the orientation vertical as in the farm environment. An integrated aquaculture treatment contained both oysters (<italic>n</italic> = 8) and kelp (<italic>n</italic> = 1) hung in the same way. The oyster number and the ratio of oyster and kelp were determined based on our modeling research which was published in <xref ref-type="bibr" rid="B36">Lin et&#xa0;al. (2020)</xref>. The experiment started on the 14 May 2017 (experiment day 1) and continued until 12 June 2017.</p>
</sec>
<sec id="s2_3">
<title>Monitoring of the Key Parameters of Seawater</title>
<p>During the 30-day experiment, seawater temperature, salinity, and dissolved oxygen concentration (DO) in each mesocosm were measured three times a day. The pH in the reservoir tank was also measured three times a day, and the pH in the inflow and outflow of each mesocosm was measured only at 12:00 daily. Seawater temperature, salinity, and dissolved oxygen concentration (DO) were measured using a Vernier&#x2019;s LabQuest<sup>&#xae;</sup> 2 (Vernier Software &amp; Technology, USA) equipped with the corresponding probes. The pH level was measured using a commercial combination electrode (Ross type, Orion) calibrated daily using a 3-point calibration procedure on the U.S. National Bureau of Standards (NBS) scale with a precision of &#xb1; 0.001 pH units. The concentration of chlorophyll-a in the ambient seawater was continuously monitored using the ACLW-RS chlorophyll turbidity temperature sensor (ALEC Electronics Co., Ltd., Japan) with a precision of &#xb1;0.1 &#x3bc;g L<sup>&#x2212;1</sup>. Total alkalinity (A<sub>T</sub>) was analysed weekly <italic>via</italic> a Metrohm 848 Titrino plus automatic titrator (Metrohm, USA) on 100 ml of GF/F filtered seawater with an accuracy of &#xb1;5 mmol L<sup>&#x2212;1</sup>. Carbonate system parameters, such as total dissolved inorganic carbon, aqueous partial pressure of CO<sub>2</sub> (<italic>p</italic>CO<sub>2</sub>), the CaCO<sub>3</sub> saturation state for calcite (&#x3a9;<sub>cal</sub>), and aragonite (&#x3a9;<sub>arag</sub>), were calculated from pH<sub>NBS</sub> and A<sub>T</sub> by the CO2SYS Package (<xref ref-type="bibr" rid="B44">Pierrot et&#xa0;al., 2006</xref>) using the dissociation constants of <xref ref-type="bibr" rid="B38">Mehrbach et&#xa0;al. (1973)</xref> and refit by <xref ref-type="bibr" rid="B16">Dickson and Millero (1987)</xref>. No mortality of oysters was observed in both ambient and elevated <italic>p</italic>CO<sub>2</sub> treatments throughout the experiment.</p>
</sec>
<sec id="s2_4">
<title>Physiological Measurements</title>
<p>The physiological measurements of oysters under different treatments were performed on 12 June 2017 (experiment day 30) by flow-through system after <xref ref-type="bibr" rid="B25">Jiang et&#xa0;al. (2017)</xref>. Feeding experiments were performed by transferring 9 labeled individual oysters (3 randomly selected from each of the 3 replicate mesocosms per treatment) to individual flow-through chambers which were continuously supplied with the same water as supplied to the respective treatment mesocosms. The flow rates of each chamber were adjusted to 180&#x2013;200 ml min<sup>&#x2212;1</sup> and determined by simultaneously measuring the volume of water collected from each outflow. Three identical chambers without oysters served as the control. The oysters were left undisturbed in chambers for 1 h to resume feeding before sampling water from the outlet of the chambers. The particle number in each chamber was measured by PAMAS S4031GO particle counter equipped with a tube of 50 &#x3bc;m aperture and set to count all particles &gt;2 &#x3bc;m diameter in a 0.5 ml sub-sample. Three replicate counts are made on each sample and the mean calculated. This measurement was repeated at 60 min intervals over a period of 3 h. Clearance rate (CR) is then calculated as follows:</p>
<disp-formula>
<mml:math display="block" id="M1">
<mml:mrow>
<mml:mtext>CR</mml:mtext>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:msup>
<mml:mrow>
<mml:mtext>L&#xa0;h</mml:mtext>
</mml:mrow>
<mml:mrow>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>1</mml:mn>
</mml:mrow>
</mml:msup>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
<mml:mo>=</mml:mo>
<mml:mtext>Flow&#xa0;rate</mml:mtext>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:msup>
<mml:mrow>
<mml:mtext>in&#xa0;L&#xa0;h</mml:mtext>
</mml:mrow>
<mml:mrow>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>1</mml:mn>
</mml:mrow>
</mml:msup>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
<mml:mo>&#xd7;</mml:mo>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:msub>
<mml:mi>C</mml:mi>
<mml:mn>1</mml:mn>
</mml:msub>
<mml:mo>&#x2212;</mml:mo>
<mml:msub>
<mml:mi>C</mml:mi>
<mml:mn>0</mml:mn>
</mml:msub>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
<mml:mo stretchy="false">/</mml:mo>
<mml:msub>
<mml:mi>C</mml:mi>
<mml:mn>1</mml:mn>
</mml:msub>
</mml:mrow>
</mml:math>
</disp-formula>
<p>where C<sub>1</sub> is the particulate concentration in control chamber (particle number ml<sup>&#x2212;1</sup>), and C<sub>0</sub> is the particulate concentration from each experimental chamber (particle number ml<sup>&#x2212;1</sup>).</p>
<p>The absorption efficiency (AE) was determined using the following equation (<xref ref-type="bibr" rid="B12">Conover, 1966</xref>):</p>
<disp-formula>
<mml:math display="block" id="M3">
<mml:mrow>
<mml:mtext>AE</mml:mtext>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mo>%</mml:mo>
<mml:mo>)</mml:mo>
</mml:mrow>
<mml:mo>=</mml:mo>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:mtext>F</mml:mtext>
<mml:mo>&#x2212;</mml:mo>
<mml:mtext>E</mml:mtext>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
<mml:mo stretchy="false">/</mml:mo>
<mml:mrow>
<mml:mo>[</mml:mo> <mml:mrow>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:mn>1</mml:mn>
<mml:mo>&#x2212;</mml:mo>
<mml:mtext>E</mml:mtext>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
<mml:mo>&#xd7;</mml:mo>
<mml:mtext>F</mml:mtext>
</mml:mrow> <mml:mo>]</mml:mo>
</mml:mrow>
</mml:mrow>
</mml:math>
</disp-formula>
<p>Where F represents the ash-free dry weight: dry weight ratio of food, and E represents the ash-free dry weight: dry weight ratio of the feces. Approximately 4 L of food samples were taken from the seawater being supplied to each treatment, and 4 sub-samples were filtered with pre-ashed and weighted glass fiber filters of 1.2 &#x3bc;m (Whatman GF/C 47mm). These filters were rinsed with isotonic ammonium formate (3%) to remove salts and dried to a constant weight (~48 h) at 65&#xb0;C and weighed (W<sub>60</sub>), then ashed at 450&#xb0;C for 6 h to get the ash-free dry weight W<sub>450.</sub> The particulate organic matter concentration (POM, mg L<sup>&#x2212;1</sup>) is calculated by POM = (W<sub>60</sub> &#x2212; W<sub>450</sub>)/v. Each oyster was placed in the individual feces collector at the respective treatment conditions for ~24 h after the CR measurements. The feces collector (<italic>&#x3a6;</italic> ~10 cm) was made of the casing pipe equipped with an 80 &#x3bc;m mesh screen (after, <xref ref-type="bibr" rid="B46">Rastrick et&#xa0;al., 2018a</xref>). Feces were collected by a pipette and filtered with the organic content of the feces measured as described above.</p>
<p>The respiration rate (MO<sub>2</sub>) of individual oysters was measured in ~200 ml stop-flow glass respirometers held in a water bath at the same ambient temperature as the mesocosms and supplied with the same amount of water. Twelve respirometers were run simultaneously, with three chambers without oysters being used as controls. The inflow of each respirometer came from corresponding treatments, and constant flow rates were maintained by a multichannel peristaltic pump. Thirty minutes were allowed for the oysters to recover from handling stress, open and resume pumping, then the flow of water was stopped and MO<sub>2</sub> was measured over the next 90 min. The oxygen concentration in each respirometer was not allowed to drop below 70% saturation throughout the experiment. The rate of decline in oxygen saturation in each respirometer was measured by a calibrated optical oxygen probe connected to a Vernier&#x2019;s LabQuest<sup>&#xae;</sup> 2 (Vernier Software &amp; Technology, USA). The initial and final oxygen concentrations in each respirometer were measured. The respiration rate (MO<sub>2</sub>) was then calculated using the following equation:</p>
<disp-formula>
<mml:math display="block" id="M5">
<mml:mrow>
<mml:mover accent="true">
<mml:mtext>M</mml:mtext>
<mml:mo>&#x2d9;</mml:mo>
</mml:mover>
<mml:msub>
<mml:mtext>O</mml:mtext>
<mml:mn>2</mml:mn>
</mml:msub>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mtext>&#x3bc;mol&#xa0;O</mml:mtext>
</mml:mrow>
<mml:mn>2</mml:mn>
</mml:msub>
<mml:msup>
<mml:mtext>h</mml:mtext>
<mml:mrow>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>1</mml:mn>
</mml:mrow>
</mml:msup>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
<mml:mo>=</mml:mo>
<mml:mrow>
<mml:mo>[</mml:mo> <mml:mrow>
<mml:msub>
<mml:mtext>C</mml:mtext>
<mml:mrow>
<mml:mo stretchy="false">(</mml:mo>
<mml:mtext>t</mml:mtext>
<mml:mn>0</mml:mn>
<mml:mo stretchy="false">)</mml:mo>
</mml:mrow>
</mml:msub>
<mml:mo>&#x2212;</mml:mo>
<mml:msub>
<mml:mtext>C</mml:mtext>
<mml:mrow>
<mml:mo stretchy="false">(</mml:mo>
<mml:mtext>t</mml:mtext>
<mml:mn>1</mml:mn>
<mml:mo stretchy="false">)</mml:mo>
</mml:mrow>
</mml:msub>
</mml:mrow> <mml:mo>]</mml:mo>
</mml:mrow>
<mml:mtext>&#xa0;</mml:mtext>
<mml:mo>&#xd7;</mml:mo>
<mml:msub>
<mml:mrow>
<mml:mtext>&#xa0;V</mml:mtext>
</mml:mrow>
<mml:mtext>r</mml:mtext>
</mml:msub>
<mml:mo>&#xd7;</mml:mo>
<mml:mtext>&#xa0;</mml:mtext>
<mml:mn>60</mml:mn>
<mml:mo stretchy="false">/</mml:mo>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:msub>
<mml:mtext>t</mml:mtext>
<mml:mn>1</mml:mn>
</mml:msub>
<mml:mo>&#x2212;</mml:mo>
<mml:msub>
<mml:mtext>t</mml:mtext>
<mml:mn>0</mml:mn>
</mml:msub>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
</mml:mrow>
</mml:math>
</disp-formula>
<p>Where t<sub>0</sub> and t<sub>1</sub> represent the initial and finish times (min) of the measurement period, C<sub>t</sub> represents the concentration of oxygen in the water (&#x3bc;mol O<sub>2</sub> L<sup>&#x2212;1</sup>) at time t; V<sub>r</sub> represents the volume of the respirometer minus the animal.</p>
<p>After MO<sub>2</sub> measurement, the ammonia excretion rate (ER) of the same group of oysters was measured. Water samples were taken from each respirometer, filtered by 0.45 &#x3bc;m cellulose acetate membrane filters, and then analysed for ammonia using the phenol-hypochlorite method. ER was calculated using the following equation:</p>
<disp-formula>
<mml:math display="block" id="M7">
<mml:mrow>
<mml:mtext>ER&#xa0;</mml:mtext>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mtext>&#x3bc;mol&#xa0;NH</mml:mtext>
</mml:mrow>
<mml:mn>4</mml:mn>
</mml:msub>
<mml:mo>&#x2212;</mml:mo>
<mml:msup>
<mml:mrow>
<mml:mtext>N&#xa0;h</mml:mtext>
</mml:mrow>
<mml:mrow>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>1</mml:mn>
</mml:mrow>
</mml:msup>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
<mml:mo>=</mml:mo>
<mml:mrow>
<mml:mo>[</mml:mo> <mml:mrow>
<mml:msub>
<mml:mtext>C</mml:mtext>
<mml:mrow>
<mml:mtext>test</mml:mtext>
</mml:mrow>
</mml:msub>
<mml:mo>&#x2212;</mml:mo>
<mml:msub>
<mml:mtext>C</mml:mtext>
<mml:mrow>
<mml:mtext>control</mml:mtext>
</mml:mrow>
</mml:msub>
</mml:mrow> <mml:mo>]</mml:mo>
</mml:mrow>
<mml:mo>&#xd7;</mml:mo>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:msub>
<mml:mi mathvariant="normal">V</mml:mi>
<mml:mtext>r</mml:mtext>
</mml:msub>
<mml:mo stretchy="false">/</mml:mo>
<mml:mtext>&#xa0;</mml:mtext>
<mml:mn>1000</mml:mn>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
<mml:mo>&#xd7;</mml:mo>
<mml:mtext>&#xa0;</mml:mtext>
<mml:mn>1</mml:mn>
<mml:mo stretchy="false">/</mml:mo>
<mml:mtext>t</mml:mtext>
</mml:mrow>
</mml:math>
</disp-formula>
<p>Where C<sub>test</sub> and C<sub>control</sub> represent the ammonia concentration in the sample and control, respectively, V<sub>r</sub> represents the volume of the respirometer minus the animal; t is the exposure time.</p>
<p>After all the physiological measurements, the oyster tissues were dissected from the shell and dried to a constant weight at 65&#xb0;C. The CR, MO<sub>2</sub>, and ER were then corrected to a &#x2018;standard body size&#x2019; of 1 g of dry weight mass-specific rates using the following equation: Y<sub>s</sub> = (W<sub>s</sub>/W<sub>e</sub>)<sup>b</sup> &#xd7; Y<sub>e</sub>, where Y<sub>s</sub> is the physiological rate for an animal of standard weight, W<sub>s</sub> is the standard weight (1 g), W<sub>e</sub> is the observed weight of the animal (g), Y<sub>e</sub> is the uncorrected (measured) physiological rate, and b is the weight exponent for the physiological rate function (b = 0.67). Each physiological rate was then converted into energy equivalents (J h<sup>&#x2212;1</sup>) and used to calculate the energy available for scope for growth (SfG). Values for MO<sub>2</sub> were transformed into J h<sup>&#x2212;1</sup> using a conversion factor of 0.456 J &#x3bc;mol<sup>&#x2212;1</sup> O<sub>2</sub> (<xref ref-type="bibr" rid="B22">Gnaiger, 1983</xref>), ER was converted to J h<sup>&#x2212;1</sup> using the conversion factor: 1 &#x3bc;mol NH<sub>4</sub>-N h<sup>&#x2212;1</sup> = 0.349 J h<sup>&#x2212;1</sup>. SfG (J h<sup>&#x2212;1</sup> g<sup>&#x2212;1</sup>) was calculated by SfG = A<sub>b</sub> &#x2212; R &#x2212; U, where A<sub>b</sub> is the total absorbed energy (J h<sup>&#x2212;1</sup> g<sup>&#x2212;1</sup>), R is the energy lost in respiration (J h<sup>&#x2212;1</sup> g<sup>&#x2212;1</sup>), and U is the energy lost in ammonia excretion (J h<sup>&#x2212;1</sup> g<sup>&#x2212;1</sup>). A<sub>b</sub> = CR (L g<sup>&#x2212;1</sup> h<sup>&#x2212;1</sup>) &#xd7; (mg POM L<sup>&#x2212;1</sup>) &#xd7; AE (%). The POM concentration was converted to joules using a conversion factor of 23 J mg<sup>&#x2212;1</sup> ash-free dry weight (<xref ref-type="bibr" rid="B58">Widdows and Johnson, 1988</xref>).</p>
</sec>
<sec id="s2_5">
<title>Specific Growth Rate</title>
<p>The wet weight-specific growth rate (SGR, % d<sup>&#x2212;1</sup>) of each oyster was measured as follows: SGR = (ln(W<sub>t</sub>/W<sub>0</sub>)/t) &#xd7; 100%, where W<sub>t</sub> and W<sub>0</sub> are the wet weight (g) of the oyster at time t and at time 0, respectively, and t is the sampling time (d).</p>
</sec>
<sec id="s2_6">
<title>Data Analysis</title>
<p>Statistical analyses were conducted using the software SPSS 22.0 for Windows. The general linear mixed model (GLMM) was used to test the effects of culture treatments (oyster alone and integrated aquaculture) or <italic>p</italic>CO<sub>2</sub> treatments (ambient, ~500 &#x3bc;atm and elevated, ~900 &#x3bc;atm) on physiological parameters with a mesocosm as a random variable nested within fixed factors (culture or <italic>p</italic>CO<sub>2</sub> treatments). This design considers that 3 replicate mesocosms in each treatment were supplied with the same seawater, and therefore, mesocosms may not be considered true replicates. Differences between culture or <italic>p</italic>CO<sub>2</sub> treatments were further tested by <italic>F</italic>-tests with a significance threshold of &#x3b1; = 0.05. All data are represented as means &#xb1; SD.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<sec id="s3_1">
<title>Seawater Carbonate Chemistry</title>
<p>The daily variations in temperature, salinity, and pH during the experiment are shown in <xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2</bold></xref>. The ambient temperature and salinity were 19.08 &#xb1; 1.27&#xb0;C and 32.86 &#xb1; 0.23, respectively. The controlled injection of CO<sub>2</sub> separates the treatments successfully (pH<sub>NBS</sub> ~7.83 in elevated <italic>p</italic>CO<sub>2</sub> treatments and 8.07 &#xb1; 0.03 in the ambient treatment) and keeps them relatively stable during the 30 days of exposure. Seawater chemistry variables over the 30-day experimental period for each <italic>p</italic>CO<sub>2</sub> treatment are summarized in <xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>. There was no significant difference in temperature, salinity, chlorophyll a, DIC, &#x3a9;<sub>cal</sub>, &#x3a9;<sub>arag</sub>, and <inline-formula>
<mml:math display="inline" id="im2">
<mml:mrow>
<mml:msubsup>
<mml:mrow>
<mml:mtext>HCO</mml:mtext>
</mml:mrow>
<mml:mn>3</mml:mn>
<mml:mo>&#x2212;</mml:mo>
</mml:msubsup>
</mml:mrow>
</mml:math>
</inline-formula> between treatments (<italic>P &gt;</italic>0.05). The saturation percentage of dissolved oxygen in the exposure containers consistently exceeded 100% and was similar across treatments during the experiment. There was a significant difference between pH<sub>NBS</sub> and <italic>p</italic>CO<sub>2</sub> between treatments (<italic>P &lt;</italic>0.05).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Daily variations of environmental conditions during the 30-day exposure from 14 May to 12 June 2017. <bold>(A)</bold> Temperature; <bold>(B)</bold> salinity; <bold>(C)</bold> dissolved oxygen; <bold>(D)</bold> chlorophyll a in the ambient seawater; and <bold>(E)</bold> pH<sub>NBS</sub> in the inflow of experimental units across the treatments. Means &#xb1; SD are shown.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-09-862172-g002.tif"/>
</fig>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Seawater chemistry variables over the 30 days experimental period for each <italic>p</italic>CO<sub>2</sub> treatment.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="center">Ambient <italic>p</italic>CO<sub>2</sub>
</th>
<th valign="top" align="center">Elevated <italic>p</italic>CO<sub>2</sub>
</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left"><italic>Measured</italic>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Temperature (&#xb0;C)</td>
<td valign="top" align="center">19.00 &#xb1; 1.26</td>
<td valign="top" align="center">19.12 &#xb1; 1.25</td>
</tr>
<tr>
<td valign="top" align="left">Salinity</td>
<td valign="top" align="center">32.83 &#xb1; 0.24</td>
<td valign="top" align="center">32.87 &#xb1; 0.23</td>
</tr>
<tr>
<td valign="top" align="left">Chlorophyll a</td>
<td valign="top" align="center">2.69 &#xb1; 1.30</td>
<td valign="top" align="center">2.89 &#xb1; 1.09</td>
</tr>
<tr>
<td valign="top" align="left">pH<sub>NBS</sub>
</td>
<td valign="top" align="center">8.07 &#xb1; 0.03<sup>a</sup>
</td>
<td valign="top" align="center">7.83 &#xb1; 0.04<sup>b</sup>
</td>
</tr>
<tr>
<td valign="top" align="left">A<sub>T</sub> (&#x3bc;mol kg<sup>&#x2212;1</sup>)</td>
<td valign="top" align="center">2,201 &#xb1; 42</td>
<td valign="top" align="center">2,150 &#xb1; 76</td>
</tr>
<tr>
<td valign="top" align="left"><italic>Calculated</italic>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"><italic>p</italic>CO<sub>2</sub> (&#x3bc;atm)</td>
<td valign="top" align="center">514 &#xb1; 18<sup>a</sup>
</td>
<td valign="top" align="center">927 &#xb1; 57<sup>b</sup>
</td>
</tr>
<tr>
<td valign="top" align="left">DIC (&#x3bc;mol kg<sup>&#x2212;1</sup>)</td>
<td valign="top" align="center">2,017 &#xb1; 43</td>
<td valign="top" align="center">2,066 &#xb1; 78</td>
</tr>
<tr>
<td valign="top" align="left">&#x3a9;<sub>cal</sub>
</td>
<td valign="top" align="center">3.27 &#xb1; 0.08</td>
<td valign="top" align="center">1.97 &#xb1; 0.07</td>
</tr>
<tr>
<td valign="top" align="left">&#x3a9;<sub>arag</sub>
</td>
<td valign="top" align="center">2.12 &#xb1; 0.05</td>
<td valign="top" align="center">1.28 &#xb1; 0.05</td>
</tr>
<tr>
<td valign="top" align="left">
<inline-formula>
<mml:math display="inline" id="im1">
<mml:mrow>
<mml:msubsup>
<mml:mrow>
<mml:mtext>HCO</mml:mtext>
</mml:mrow>
<mml:mn>3</mml:mn>
<mml:mo>&#x2212;</mml:mo>
</mml:msubsup>
</mml:mrow>
</mml:math>
</inline-formula> (&#x3bc;mol kg<sup>&#x2212;1</sup>)</td>
<td valign="top" align="center">1,865 &#xb1; 38</td>
<td valign="top" align="center">1,946 &#xb1; 72</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>A<sub>T</sub>, total alkalinity; pCO<sub>2</sub>, aqueous partial pressure of CO<sub>2</sub>; DIC, dissolved inorganic carbon; &#x3a9;<sub>cal</sub>, the CaCO<sub>3</sub> saturation state for aragonite; &#x3a9;<sub>arag</sub>, the CaCO<sub>3</sub> saturation state for aragonite. Means &#xb1; SD are presented. Different letters indicate significant variation between treatments (P &lt; 0.05).</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>The average change in daytime pH<sub>NBS</sub> between the inflow and outflow of the mesocosms for the different treatments during the 30 days of exposure is shown in <xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3</bold></xref>. Results showed that the seaweed alone treatment increased the daytime pH<sub>NBS</sub> by ~0.08 units, while oyster alone decreased ~0.05 units compared to the inflow under ambient conditions. The magnitude of change in daytime pH<sub>NBS</sub> was significantly greater in kelp alone treatment under elevated <italic>p</italic>CO<sub>2</sub> condition than the ambient <italic>p</italic>CO<sub>2</sub> condition. The kelp alone treatment increased daytime pH<sub>NBS</sub> by ~0.11 units, while the oyster and kelp integrated aquaculture treatment increased the daytime pH<sub>NBS</sub> by ~0.06 units.</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Average change in daytime pH<sub>NBS</sub> in the inflow and outflow of experimental units across the treatments during the 30 days. Means &#xb1; SD are presented. Different letters indicate significant variation between culture treatments (<italic>P &lt;</italic> 0.05).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-09-862172-g003.tif"/>
</fig>
</sec>
<sec id="s3_2">
<title>Clearance Rate and Absorption Efficiency</title>
<p>A significant effect of elevated <italic>p</italic>CO<sub>2</sub> on the clearance rate of oysters was observed. After 30 days of exposure, the clearance rate of oysters was significantly reduced in the elevated <italic>p</italic>CO<sub>2</sub> treatments and in the absence of kelp, as compared with ambient <italic>p</italic>CO<sub>2</sub> treatments (<italic>P &lt;</italic>0.05) (<xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4A</bold></xref>). The presence of kelp in elevated <italic>p</italic>CO<sub>2</sub> treatment increased the clearance rate of oysters compared with oysters alone treated at the same elevated <italic>p</italic>CO<sub>2</sub> level (<italic>P &lt;</italic>0.01). Additionally, no significant difference in CR was found between oysters incubated with seaweed at elevated <italic>p</italic>CO<sub>2</sub> and oysters incubated at ambient <italic>p</italic>CO<sub>2</sub> levels (<italic>P &gt;</italic>0.05).</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Clearance rate <bold>(A)</bold> and absorption efficiency <bold>(B)</bold> of <italic>C</italic>. <italic>gigas</italic> exposed to different treatments for 30 days. Means &#xb1; SD are shown. Different letters indicate significant variation between treatments (<italic>P &lt; </italic>0.05).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-09-862172-g004.tif"/>
</fig>
<p>Absorption efficiency varied between 41 and 72% and was not affected significantly by elevated <italic>p</italic>CO<sub>2</sub> during the experiment. The absorption efficiency was lower in the oyster alone treatment at elevated <italic>p</italic>CO<sub>2</sub> treatment but showed no significant difference from the integrated aquaculture treatment (<italic>P &gt;</italic>0.05) (<xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4B</bold></xref>).</p>
</sec>
<sec id="s3_3">
<title>Respiration Rate and Ammonia Excretion Rate</title>
<p>After 30 days of exposure, the respiration rate of oysters was significantly higher in the absence of kelp at elevated <italic>p</italic>CO<sub>2</sub> compared with oysters in ambient <italic>p</italic>CO<sub>2</sub> treatments (<italic>P &lt;</italic>0.05). The presence of kelp in elevated <italic>p</italic>CO<sub>2</sub> treatment lowered the respiration rate and ammonia excretion rate of oysters compared to ambient conditions, but no significant difference was found (<italic>P &gt;</italic>0.05). Compared with all other treatments, the respiration rate and ammonia excretion rate were significantly increased in the oyster alone treatment (<italic>P &lt;</italic>0.05) (<xref ref-type="fig" rid="f5"><bold>Figure&#xa0;5</bold></xref>).</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Respiration rate <bold>(A)</bold> and ammonia excretion rate <bold>(B)</bold> of <italic>C</italic>. <italic>gigas</italic> exposed to different treatments for 30 days. Means &#xb1; SD are shown. Different letters indicate significant variation between treatments (<italic>P &lt;</italic> 0.05).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-09-862172-g005.tif"/>
</fig>
</sec>
<sec id="s3_4">
<title>Scope for Growth and Specific Growth Rate</title>
<p>Elevated <italic>p</italic>CO<sub>2</sub> exposure significantly reduced the SfG of <italic>C. gigas</italic> when unintegrated with kelp (<xref ref-type="fig" rid="f6"><bold>Figure&#xa0;6A</bold></xref>). Compared to other treatments, SfG was negative (&#x2212;9.45 J g<sup>&#x2212;1</sup> h<sup>&#x2212;1</sup>) in the elevated <italic>p</italic>CO<sub>2</sub> treatment in the absence of kelp (<italic>P &lt;</italic>0.01). However, in the elevated <italic>p</italic>CO<sub>2</sub> treatment in the presence of kelp, SfG (35.82 J g<sup>&#x2212;1</sup> h<sup>&#x2212;1</sup>) was not significantly different to that of oysters in ambient <italic>p</italic>CO<sub>2</sub> treatments (<italic>P &gt;</italic>0.05). Moreover, after 30 days of exposure, the wet weight-specific growth rates of <italic>C. gigas</italic> were also observed to be dramatically reduced in the oyster alone treatment compared with the integrated aquaculture treatment at elevated <italic>p</italic>CO<sub>2</sub> levels (<xref ref-type="fig" rid="f6"><bold>Figure&#xa0;6B</bold></xref>).</p>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>Scope for growth <bold>(A)</bold> and wet weight-specific rate <bold>(B)</bold> of <italic>C</italic>. <italic>gigas</italic> exposed to different treatments for 30 days. Means &#xb1; SD are shown. Different letters indicate significant variation between treatments (<italic>P &lt;</italic> 0.05).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-09-862172-g006.tif"/>
</fig>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>The field mesocosms used in this study followed fluctuations in the natural environment, with CO<sub>2</sub> controlled to give two natural but distinct treatments, maintaining a difference of about 0.25 pH units over time (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2</bold></xref>). Using this novel approach, our results indicate that medium-term elevated <italic>p</italic>CO<sub>2</sub> exposure reduces the CR of Pacific oyster, <italic>C. gigas</italic>, while increasing the MO<sub>2</sub> and ER, reducing energy available for growth. Importantly, the presence of kelp, <italic>S. japonica</italic>, in the mesocosms mitigates this negative physiological impact of OA on oysters.</p>
<p>CR is generally considered the most sensitive parameter for the feeding activity and energy acquisition of bivalves. In this study, elevated <italic>p</italic>CO<sub>2</sub> induced a reduction in CR, limiting the capacity of energy acquisition from food sources. <xref ref-type="bibr" rid="B62">Zhao et&#xa0;al. (2017)</xref> and <xref ref-type="bibr" rid="B60">Xu et&#xa0;al. (2016)</xref> also demonstrated reductions of CR by the blood clam <italic>Tegillarca granosa</italic> and Manila clam <italic>R. philippinarum</italic> under similar acidified conditions. The gills are an important organ serving both a filter-feeding and respiration function in bivalves. The accumulation of GABA in the gill under elevated <italic>p</italic>CO<sub>2</sub> conditions may be a potential explanation for the suppression of feeding activity (<xref ref-type="bibr" rid="B29">Jiang et&#xa0;al., 2019</xref>). However, <xref ref-type="bibr" rid="B37">Liu and He (2012)</xref> reported that CR of pearl oyster <italic>Pinctada fucata</italic> increased at extreme pH reductions of up to 0.7 units, and <xref ref-type="bibr" rid="B50">Sui et&#xa0;al. (2016)</xref> found that the physiological energetics of thick shell mussel <italic>Mytilus coruscus</italic> in terms of feeding, absorption and ultimately the energy available for growth remained unchanged by low pH conditions, perhaps due to the species-specific responses or the different experimental methods.</p>
<p>Here, AE was also not affected by acidified conditions, indicating the stable function of the digestive system, at least under the specific conditions and exposure time of this study. However, changes in CR, combined with increased MO<sub>2</sub> and ER in response to elevated <italic>p</italic>CO<sub>2</sub>, resulted in a significant deficit in energy supply for <italic>C. gigas</italic> and ultimately less energy available for growth. For the mariculture industry, the significant reduction in energy available for growth (SfG) and actual growth in <italic>C. gigas</italic> under elevated <italic>p</italic>CO<sub>2</sub> represents a potential challenge to oyster farming operations, which could lead to economic loss. Particularly during the season of this study, when spat is first introduced to the farm environment and when most growth occurs.</p>
<p>The wide variety of species and exposure-dependent responses reported for bivalves to elevated <italic>p</italic>CO<sub>2</sub> (<xref ref-type="bibr" rid="B41">Navarro et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B50">Sui et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B56">Wang et&#xa0;al., 2016</xref>) may, in part, be due to differences in methodologies (e.g., measurement of CR <italic>via</italic> static or flow-through systems), which makes it difficult to compare results between studies. Most studies to date are also laboratory-based experiments, making it difficult to scale responses to the ecosystem level. Given the complexity of natural environments (such as food source and availability, daily fluctuation of environmental factors, etc.), particularly in coastal areas where bivalve aquaculture occurs, some recent studies, as here, have used field mesocosms (<xref ref-type="bibr" rid="B29">Jiang et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B30">Jiang et&#xa0;al., 2021</xref>) to advance the use of field experiments and improve the ecological relevance of data collected (e.g., <xref ref-type="bibr" rid="B47">Rastrick et&#xa0;al., 2018b</xref>).</p>
<p>Our results indicated that the presence of <italic>S. japonica</italic> under farm conditions helped to mitigate the negative effects of elevated <italic>p</italic>CO<sub>2</sub> on <italic>C. gigas</italic>, at least at the mesocosm scale. Being highly effective autotrophic, <italic>S. japonica</italic> use dissolved CO<sub>2</sub> in the seawater as the primary carbon source for photosynthesis. The rate of <italic>S. japonica</italic> photosynthetic carbon fixation was reported to 30 &#x3bc;mol g<sup>&#x2212;1</sup> h<sup>&#x2212;1</sup> (<xref ref-type="bibr" rid="B23">Han, 2013</xref>; <xref ref-type="bibr" rid="B60">Xu et&#xa0;al., 2016</xref>). Consequently, it may benefit from a future elevation in <italic>p</italic>CO<sub>2</sub>. For example, <xref ref-type="bibr" rid="B59">Xu et&#xa0;al. (2018)</xref> reported that projected <italic>p</italic>CO<sub>2</sub> (1,000 &#x3bc;atm in 2,100 under RCP 8.5) may increase the growth of <italic>S. japonica</italic>. The increased photosynthesis rates of <italic>S. japonica</italic> improve the growing conditions for nearby <italic>C. gigas</italic> by removing sufficient amounts of CO<sub>2</sub>, reducing local seawater acidification, increasing pH, and providing dissolved oxygen at the local scale. Giving the CO<sub>2</sub> released from the calcification and respiration processes of bivalves into account (<xref ref-type="bibr" rid="B6">Chauvaud et&#xa0;al., 2003</xref>; <xref ref-type="bibr" rid="B40">Mistri and Munari, 2013</xref>), <italic>S. japonica</italic> may also alleviate the potential self-acidification risk caused by <italic>C. gigas</italic> itself in smaller or more enclosed aquaculture settings. Here, <italic>S. japonica</italic> increased the mean daytime pH of the seawater by ~0.11 units in the elevated <italic>p</italic>CO<sub>2</sub> treatment (<xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3</bold></xref>). Such biogenic pH fluctuations are important to the function of bivalves. <xref ref-type="bibr" rid="B55">Wahl et&#xa0;al. (2018)</xref> demonstrated that the blue mussel <italic>M. edulis</italic> can take advantage of these fluctuations by shifting most of their costly physiological activities to the daytime when the surrounding chemical conditions are more favorable. Microprofiling studies have shown that kelp <italic>E. radiata</italic> can modify the chemical environment in a micro-zone called the diffusive boundary layer (DBL), and DBL microenvironments at the blade surface may create potential refuges from OA for calcifying epifauna (<xref ref-type="bibr" rid="B42">Noisette and Hurd, 2018</xref>).</p>
<p>By using a novel <italic>in situ</italic> field mesocosm approach, this study demonstrates that elevated <italic>p</italic>CO<sub>2</sub> can negatively affect the physiological energetics of <italic>C. gigas.</italic> Exposure to elevated <italic>p</italic>CO<sub>2</sub> significantly reduced CR while increasing MO<sub>2</sub> and ER, thereby reducing the energy allocated for reproduction and growth, presumably affecting production. However, similar energetic responses between <italic>C. gigas</italic> incubated at ambient CO<sub>2</sub> levels and those incubated at elevated CO<sub>2</sub> levels in the presence of <italic>S. japonica</italic> indicate that in integrated aquaculture systems, <italic>S. japonica</italic> may benefit the production of <italic>C. gigas</italic> by, in part, mitigating the negative physiological impact of elevated <italic>p</italic>CO<sub>2</sub>. However, further <italic>in situ</italic> investigations are needed to elucidate the mutual benefit mechanisms and quantify context-dependency, particularly at larger farm scales.</p>
</sec>
<sec id="s5" sec-type="data-availability">
<title>Data Availability Statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Material</bold></xref>. Further inquiries can be directed to the corresponding author.</p>
</sec>
<sec id="s6" sec-type="author-contributions">
<title>Author Contributions</title>
<p>ZJ: Conceptualization, methodology, writing&#x2014;original draft, writing&#x2014;review &amp; editing, and funding acquisition. WJ: Investigation, data curation, formal analysis,  writing&#x2014;original draft, and writing&#x2014;review &amp; editing. SR: Conceptualization, methodology, investigation, and writing&#x2013;review &amp; editing. XW, JinF, MD, and YG: Investigation and formal analysis. &#xd8;S and JiaF: Supervision, resources, funding acquisition, and writing&#x2014;review &amp; editing. All authors listed have made a substantial, direct, and intellectual contribution to the work and approved it for publication.</p>
</sec>
<sec id="s7" sec-type="funding-information">
<title>Funding</title>
<p>This work was supported by grants from the Marine S&amp;T Fund of&#xa0;Shandong Province for the Pilot National Laboratory for Marine&#xa0;Science and Technology (Qingdao) (2022QNLM040003-4), the Central Public-interest Scientific Institution Basal Research&#xa0;Fund, CAFS (2020TD50), the Young Taishan Scholars Program of Shandong Province (tsqn201909166), the Natural Science Foundation of Shandong Province (ZR2021QD035, ZR202102210486), the National Key R&amp;D Program of China (2019YFE0103800), the Sino-Norway international collaboration project Environment and Aquaculture Governance (MFA, CHN 2152), and the China Agriculture Research System of MOF and MARA.</p>
</sec>
<sec id="s8" sec-type="COI-statement">
<title>Conflict of Interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s9" sec-type="disclaimer">
<title>Publisher&#x2019;s Note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
</body>
<back>
<ack>
<title>Acknowledgments</title>
<p>The authors thank Mr. Junwei Wang, Senlin Wang, and Yitao Zhang of Chudao Fisheries Corporation for their assistance throughout the field experiment. The authors are also grateful for several anonymous reviewers whose constructive criticism improved the quality of this manuscript.</p>
</ack>
<sec id="s10" sec-type="supplementary-material">
<title>Supplementary Material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fmars.2022.862172/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fmars.2022.862172/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="Table_1.xlsx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"/>
</sec>
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