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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.2018.00086</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>Temperature, Acidification, and Food Supply Interact to Negatively Affect the Growth and Survival of the Forage Fish, <italic>Menidia beryllina</italic> (Inland Silverside), and <italic>Cyprinodon variegatus</italic> (Sheepshead Minnow)</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Gobler</surname> <given-names>Christopher J.</given-names></name>
<xref ref-type="author-notes" rid="fn001"><sup>&#x0002A;</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Merlo</surname> <given-names>Lucas R.</given-names></name>
<uri xlink:href="http://loop.frontiersin.org/people/508937/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Morrell</surname> <given-names>Brooke K.</given-names></name>
</contrib>
<contrib contrib-type="author">
<name><surname>Griffith</surname> <given-names>Andrew W.</given-names></name>
<uri xlink:href="http://loop.frontiersin.org/people/381615/overview"/>
</contrib>
</contrib-group>
<aff><institution>School of Marine and Atmospheric Sciences at Stony Brook University</institution>, <addr-line>Southampton, NY</addr-line>, <country>United States</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Philip Boyd, University of Tasmania, Australia</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Jorge M. Navarro, Universidad Austral de Chile, Chile; Philip Munday, Arc Centre of Excellence For Coral Reef Studies, Australia</p></fn>
<fn fn-type="corresp" id="fn001"><p>&#x0002A;Correspondence: Christopher J. Gobler <email>christopher.gobler&#x00040;stonybrook.edu</email></p></fn>
<fn fn-type="other" id="fn002"><p>This article was submitted to Global Change and the Future Ocean, a section of the journal Frontiers in Marine Science</p></fn></author-notes>
<pub-date pub-type="epub">
<day>16</day>
<month>03</month>
<year>2018</year>
</pub-date>
<pub-date pub-type="collection">
<year>2018</year>
</pub-date>
<volume>5</volume>
<elocation-id>86</elocation-id>
<history>
<date date-type="received">
<day>20</day>
<month>09</month>
<year>2017</year>
</date>
<date date-type="accepted">
<day>01</day>
<month>03</month>
<year>2018</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2018 Gobler, Merlo, Morrell and Griffith.</copyright-statement>
<copyright-year>2018</copyright-year>
<copyright-holder>Gobler, Merlo, Morrell and Griffith</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 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>Climate change processes are warming, acidifying, and promoting a reduction of plankton biomass within World oceans. While the effects of these stressors on marine fish have been studied individually, their combined and interactive impacts remain unclear. Here we present experiments investigating the interactive effects of increased <italic>p</italic>CO<sub>2</sub>, temperature, and food-limitation on the early life history traits of two species of marine schooling fish native to Northeast US estuaries, <italic>Menidia beryllina</italic> (inland silverside) and <italic>Cyprinodon variegatus</italic> (sheepshead minnow). While each stressor significantly altered hatching times, growth rates, and/or survival of fish, significant interactions between stressors resulted in impacts that could not have been predicted based upon exposures to individual stressors. Fish that were unaffected by high <italic>p</italic>CO<sub>2</sub> when reared at ideal temperatures experienced significant declines in survivorship when exposed to elevated <italic>p</italic>CO<sub>2</sub> at temperatures above or below their thermal optimum. Similarly, fish provided with less food were more vulnerable to elevated <italic>p</italic>CO<sub>2</sub> than fish provided with adequate nutrition. These findings highlight the significance of incorporating multiple stressors in studies investigating the impacts of climate change stressors on marine life. Collectively, these results suggest that climate change stressors may interact to synergistically suppress the productivity of fisheries in coastal ecosystems and that these effects may intensify as climate changes continue.</p></abstract>
<kwd-group>
<kwd>climate change</kwd>
<kwd>ocean acidification</kwd>
<kwd><italic>Menidia beryllina</italic></kwd>
<kwd><italic>Cyprinodon variegatus</italic></kwd>
<kwd>multiple stressors</kwd>
</kwd-group>
<contract-num rid="cn001">R-FBM-38</contract-num>
<contract-sponsor id="cn001">New York Sea Grant, State University of New York<named-content content-type="fundref-id">10.13039/100005775</named-content></contract-sponsor>
<counts>
<fig-count count="5"/>
<table-count count="5"/>
<equation-count count="0"/>
<ref-count count="72"/>
<page-count count="12"/>
<word-count count="9564"/>
</counts>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>Climate change is altering multiple aspects of the World&#x00027;s oceans (Doney et al., <xref ref-type="bibr" rid="B16">2012</xref>; Poloczanska et al., <xref ref-type="bibr" rid="B52">2013</xref>). Since the industrial revolution, atmospheric carbon dioxide (CO<sub>2</sub>) levels have progressively risen from &#x0007E;280 to over 400 ppm (as of December 2017; <ext-link ext-link-type="uri" xlink:href="http://scrippsCO2.ucsd.edu">http://scrippsCO2.ucsd.edu</ext-link>). World oceans have absorbed nearly a third of all anthropogenically-derived CO<sub>2</sub> (Sabine et al., <xref ref-type="bibr" rid="B60">2004</xref>)<sub>.</sub> As CO<sub>2</sub> enters the ocean it reacts with water forming carbonic acid (H<sub>2</sub>CO<sub>3</sub>), which quickly disassociates into bicarbonate (<inline-formula><mml:math id="M1"><mml:msubsup><mml:mrow><mml:mtext>HCO</mml:mtext></mml:mrow><mml:mrow><mml:mn>3</mml:mn></mml:mrow><mml:mrow><mml:mo>-</mml:mo></mml:mrow></mml:msubsup></mml:math></inline-formula>) releasing a hydrogen ion (H<sup>&#x0002B;</sup>) that reduces ocean pH and subsequently sequesters carbonate ions (<inline-formula><mml:math id="M2"><mml:msubsup><mml:mrow><mml:mtext>CO</mml:mtext></mml:mrow><mml:mrow><mml:mn>3</mml:mn></mml:mrow><mml:mrow><mml:mn>2</mml:mn><mml:mo>-</mml:mo></mml:mrow></mml:msubsup></mml:math></inline-formula>), a process commonly known as ocean acidification (Sabine et al., <xref ref-type="bibr" rid="B60">2004</xref>). As a result, the pH within the sea surface has decreased &#x0007E;0.1 units and is predicted to decrease an additional 0.2&#x02013;0.3 units by the end of this century if CO<sub>2</sub> emissions continue (Heogh-Guldberg et al., <xref ref-type="bibr" rid="B24">2014</xref>). Concurrently, mean surface-ocean temperatures have risen &#x0007E;1&#x000B0;C and are predicted to increase and additional 2&#x02013;4&#x000B0;C depending on the rate of future CO<sub>2</sub> emissions (Solomon, <xref ref-type="bibr" rid="B67">2007</xref>; IPCC, <xref ref-type="bibr" rid="B27">2014</xref>).</p>
<p>In addition to the acidification of open-ocean systems, many coastal systems experience seasonal and local acidification caused by increased microbial respiration stimulated by nutrient loading (Cai et al., <xref ref-type="bibr" rid="B9">2011</xref>; Wallace et al., <xref ref-type="bibr" rid="B71">2014</xref>; Baumann et al., <xref ref-type="bibr" rid="B4">2015</xref>). For example, some hypereutrophic estuaries can experience extreme acidification (pH<sub>T</sub> &#x0003C; 7.2) coinciding with high levels of <italic>p</italic>CO<sub>2</sub> (&#x0003E; 2,000 &#x003BC;atm) during spring and summer months (Melzner et al., <xref ref-type="bibr" rid="B36">2013</xref>; Wallace et al., <xref ref-type="bibr" rid="B71">2014</xref>; Baumann et al., <xref ref-type="bibr" rid="B4">2015</xref>), periods during which many fish and invertebrates are spawned in temperate ecosystems (Kennedy and Krantz, <xref ref-type="bibr" rid="B29">1982</xref>; Sherman et al., <xref ref-type="bibr" rid="B62">1984</xref>; Helluy and Beltz, <xref ref-type="bibr" rid="B23">1991</xref>). The onset and persistence of these conditions may have negative implications for fisheries whose early life-stages are sensitive to acidification (Baumann et al., <xref ref-type="bibr" rid="B3">2012</xref>; Murray et al., <xref ref-type="bibr" rid="B41">2014</xref>; DePasquale et al., <xref ref-type="bibr" rid="B13">2015</xref>).</p>
<p>While a large number of studies have demonstrated the negative effects of acidification on externally calcifying organisms (Doney et al., <xref ref-type="bibr" rid="B15">2009</xref>; Kroeker et al., <xref ref-type="bibr" rid="B31">2010</xref>, <xref ref-type="bibr" rid="B30">2013</xref>; Talmage and Gobler, <xref ref-type="bibr" rid="B70">2010</xref>), careful study of acidification effects on internally calcifying organisms such as marine fish are comparatively less common. The majority of those doing so report adverse effects on the growth, development, and size of larval marine fish exposed to high <italic>p</italic>CO<sub>2</sub> (e.g., Baumann et al., <xref ref-type="bibr" rid="B3">2012</xref>; Miller et al., <xref ref-type="bibr" rid="B38">2012</xref>; Chambers et al., <xref ref-type="bibr" rid="B10">2014</xref>; Murray et al., <xref ref-type="bibr" rid="B41">2014</xref>; DePasquale et al., <xref ref-type="bibr" rid="B13">2015</xref>), while fewer report no ill effects (see Munday et al., <xref ref-type="bibr" rid="B40">2011</xref>; Frommel et al., <xref ref-type="bibr" rid="B19">2013</xref>). For species adversely affected by low pH, experimental evidence suggests that the earliest stages (e.g., embryonic thru larval phases) are the most sensitive to acidification (Ishimatsu et al., <xref ref-type="bibr" rid="B28">2008</xref>; Baumann et al., <xref ref-type="bibr" rid="B3">2012</xref>; Chambers et al., <xref ref-type="bibr" rid="B10">2014</xref>). When combined with other stressors such as hypoxia and thermal stress, acidification can both additively and synergistically reduce the survival rate of larval fish (DePasquale et al., <xref ref-type="bibr" rid="B13">2015</xref>; Gobler and Baumann, <xref ref-type="bibr" rid="B20">2016</xref>).</p>
<p>Beyond acidification, other climate change stressors are predicted to have strong influences on the early life-stages of marine fish. Temperature in particular has profound influences on the physiology, behavior, and phenology of temperate marine fish (Houde, <xref ref-type="bibr" rid="B25">1989</xref>; Pepin, <xref ref-type="bibr" rid="B46">1991</xref>; Nye et al., <xref ref-type="bibr" rid="B43">2009</xref>). Current observations suggest that some fish populations may be moving poleward and/or into deeper locales where temperatures are closer to their thermal optimums, changes that may alter the productivity of fisheries in these regions (Perry et al., <xref ref-type="bibr" rid="B47">2005</xref>; Nye et al., <xref ref-type="bibr" rid="B43">2009</xref>; Pinsky et al., <xref ref-type="bibr" rid="B51">2013</xref>). Warming of the oceans has also enhanced thermal stratification of the water column decreasing vertical mixing and, in turn, has reduced primary productivity and lowered planktonic food availability (Roemmich and McGowan, <xref ref-type="bibr" rid="B58">1995</xref>; Behrenfeld et al., <xref ref-type="bibr" rid="B5">2006</xref>; Boyce et al., <xref ref-type="bibr" rid="B8">2010</xref>), a scenario which may render organisms feeding at or near the base of marine food webs more vulnerable to climate change stressors (Melzner et al., <xref ref-type="bibr" rid="B35">2011</xref>; Pansch et al., <xref ref-type="bibr" rid="B44">2014</xref>; Ramajo et al., <xref ref-type="bibr" rid="B57">2016</xref>). Additionally, changes in the carbonate chemistry (e.g., <italic>p</italic>CO<sub>2</sub> and pH) of seawater and/or temperature may result in match-mismatch scenarios that separate predators and prey over time during important feeding periods (Durant et al., <xref ref-type="bibr" rid="B17">2007</xref>; Parry et al., <xref ref-type="bibr" rid="B45">2007</xref>; Siddon et al., <xref ref-type="bibr" rid="B63">2013</xref>).</p>
<p>The objective of this study was to assess the individual and combined effects of varying levels of <italic>p</italic>CO<sub>2</sub>, temperature, and food supply on the early development and survival of larval <italic>Menidia beryllina</italic> (inland silverside) and <italic>Cyprinodon variegatus</italic> (sheepshead minnow). Both species are small schooling fish, native to Northeast US estuaries, feed at or near the base of marine food webs, and are critical trophic intermediaries transferring energy to higher trophic levels (i.e., commercially harvested species). Both species exist along a broad thermal range (e.g., &#x0007E;0&#x02013;30&#x000B0;C, Middaugh and Hemmer, <xref ref-type="bibr" rid="B37">1992</xref>) and become reproductively active in temperate latitudes as water temperatures warm (e.g., &#x0007E;13&#x000B0;C) in early-spring and continue to lay eggs into the summer (Middaugh and Hemmer, <xref ref-type="bibr" rid="B37">1992</xref>; Able and Fahay, <xref ref-type="bibr" rid="B1">1998</xref>), periods when warm and acidified conditions can become established within temperate, net heterotrophic estuaries (Melzner et al., <xref ref-type="bibr" rid="B36">2013</xref>; Wallace et al., <xref ref-type="bibr" rid="B71">2014</xref>; Baumann et al., <xref ref-type="bibr" rid="B4">2015</xref>). Despite their abundance in Northeast US coastal systems, as well as the persistence of coastal acidification and other stressors (see above) within their geographical range, the current and future impacts of concurrent exposure to multiple marine stressors are unknown. In addition, these two fish species are useful for comparative purposes, as they lay pelagic and demersal eggs, respectively (Able and Fahay, <xref ref-type="bibr" rid="B1">1998</xref>), and have been previously shown to be vulnerable and resistant to ocean acidification, respectively (DePasquale et al., <xref ref-type="bibr" rid="B13">2015</xref>).</p>
</sec>
<sec sec-type="methods" id="s2">
<title>Methods</title>
<sec>
<title>Care and maintenance of organisms</title>
<p>Experiments were performed at the Stony Brook Southampton Marine Science Center (Southampton, NY, USA). Embryos of <italic>M. beryllina</italic> and <italic>C. variegatus</italic>, were obtained &#x02264; 36 h post-fertilization from Aquatic Research Organisms (ARO; Hampton, NH) and originated from hundreds of wild-collected adult broodstock maintained at 21&#x02013;22&#x000B0;C at a salinity of &#x0007E;30. Ethical approval was provided by Stony Brook University&#x00027;s Institutional Animal Care and Use Committee (IACUC &#x00023;; 2010 - 1842 - R2 - 12.16.16 &#x02013; FI). Care was taken to limit the number of animals sacrificed during the course of experimentation and to prevent unnecessary pain and/or suffering. Upon the completion of experiments, animals were euthanized and preserved in a 3% (v/v) phosphate buffered formalin solution.</p>
</sec>
<sec>
<title>Temperature and carbonate chemistry manipulations</title>
<p>Treatment levels for all trials were identified based upon ideal conditions for model organisms (Able and Fahay, <xref ref-type="bibr" rid="B1">1998</xref>), present-day conditions within the geographical ranges for these species (Murray et al., <xref ref-type="bibr" rid="B41">2014</xref>; Wallace et al., <xref ref-type="bibr" rid="B71">2014</xref>; Baumann et al., <xref ref-type="bibr" rid="B4">2015</xref>), and future climate change projections for coastal oceans along the Northeast US (Heogh-Guldberg et al., <xref ref-type="bibr" rid="B24">2014</xref>; IPCC, <xref ref-type="bibr" rid="B27">2014</xref>). To achieve desired exposure temperatures and to maintain identical conditions among experimental replicates within treatments, aquaria were held in temperature-controlled water baths maintained with electronically controlled heat exchangers (Aquatic Eco-systems, Inc., Florida, USA) that remained within &#x02264; 1% of target temperatures for the duration of the experiment. Temperatures within control treatments (19&#x02013;22&#x000B0;C) were maintained at ambient temperatures and due to fluctuations between separately conducted trials, slight differences in control conditions were observed. However, fluctuations were minor and temperatures between control conditions and experimentally-manipulated conditions remained statistically distinct (see Tables <xref ref-type="table" rid="T1">1</xref>&#x02013;<bold>5</bold>). Carbonate chemistry within elevated <italic>p</italic>CO<sub>2</sub> (2,042 &#x000B1; 328 &#x003BC;atm) treatment replicates (<italic>n</italic> &#x0003D; 4) was maintained via the inclusion of concentrated (5%) CO<sub>2</sub> gas mixed with ambient air (see Tables <xref ref-type="table" rid="T1">1</xref>&#x02013;<bold>5</bold>) added directly to each experimental vessel. Multichannel gas proportioners (Cole Parmer&#x000AE;) were used to control the mixing rates of gases (CO<sub>2</sub> and air) to achieve targeted low pH levels (pH on the total scale &#x0003D; pH<sub>T</sub> &#x0007E;7.2) within exposure aquaria. Ambient air (&#x0007E;400 &#x003BC;atm CO<sub>2</sub>) was bubbled into ambient-treatment aquaria (<italic>n</italic> &#x0003D; 4) at similar rates (&#x0007E;500 mL min<sup>&#x02212;1</sup>) to those within elevated CO<sub>2</sub> treatments. Target pH levels within ambient CO<sub>2</sub> treatments were &#x0007E;7.9 (pH<sub>T</sub>, 397 &#x000B1; 58 &#x003BC;atm), levels representative of ideal conditions along the Northeast US coastline (Wallace et al., <xref ref-type="bibr" rid="B71">2014</xref>; Baumann et al., <xref ref-type="bibr" rid="B4">2015</xref>). The rate of gas delivery turned over the full volume of experimental chambers several times daily and sporadic dissolved oxygen measurements using a YSI 5100 probe indicated this kept dissolved oxygen levels at or near saturated levels during experiments.</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Seawater chemistry for the experiment investigating temperature and CO<sub>2</sub> effects on <italic>Menidia beryllina</italic>.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th/>
<th valign="top" align="center"><bold>Control, 19&#x000B0;C</bold></th>
<th valign="top" align="center"><bold>&#x0002B; CO<sub>2</sub>, 19&#x000B0;C</bold></th>
<th valign="top" align="center"><bold>Control, 29&#x000B0;C</bold></th>
<th valign="top" align="center"><bold>&#x0002B; CO<sub>2</sub>, 29&#x000B0;C</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Temperature</td>
<td valign="top" align="center">19 (0.53)</td>
<td valign="top" align="center">19 (0.53)</td>
<td valign="top" align="center">29 (0.29)</td>
<td valign="top" align="center">29 (0.29)</td>
</tr>
<tr>
<td valign="top" align="left">pH<sub>T</sub></td>
<td valign="top" align="center">7.93 (0.03)</td>
<td valign="top" align="center">7.34 (0.05)</td>
<td valign="top" align="center">7.91 (0.06)</td>
<td valign="top" align="center">7.40 (0.05)</td>
</tr>
<tr>
<td valign="top" align="left"><italic>p</italic>CO<sub>2</sub></td>
<td valign="top" align="center">389 (18.1)</td>
<td valign="top" align="center">1,750 (244)</td>
<td valign="top" align="center">372.3 (23.7)</td>
<td valign="top" align="center">1,630 (366)</td>
</tr>
<tr>
<td valign="top" align="left">&#x003A9; calcite</td>
<td valign="top" align="center">4.33 (0.15)</td>
<td valign="top" align="center">1.42 (0.12)</td>
<td valign="top" align="center">5.40 (1.05)</td>
<td valign="top" align="center">1.76 (0.64)</td>
</tr>
<tr>
<td valign="top" align="left">&#x003A9; aragonite</td>
<td valign="top" align="center">2.81 (0.10)</td>
<td valign="top" align="center">0.92 (0.08)</td>
<td valign="top" align="center">3.54 (0.72)</td>
<td valign="top" align="center">1.15 (0.43)</td>
</tr>
<tr>
<td valign="top" align="left">TA</td>
<td valign="top" align="center">2,200 (67.1)</td>
<td valign="top" align="center">2,280 (50.8)</td>
<td valign="top" align="center">2,280 (111)</td>
<td valign="top" align="center">2,240 (112)</td>
</tr>
<tr>
<td valign="top" align="left"><inline-formula><mml:math id="M3"><mml:msubsup><mml:mrow><mml:mtext>CO</mml:mtext></mml:mrow><mml:mrow><mml:mn>3</mml:mn></mml:mrow><mml:mrow><mml:mn>2</mml:mn><mml:mo>-</mml:mo></mml:mrow></mml:msubsup></mml:math></inline-formula></td>
<td valign="top" align="center">175 (6.41)</td>
<td valign="top" align="center">57.6 (4.83)</td>
<td valign="top" align="center">216 (40.3)</td>
<td valign="top" align="center">40.6 (25.0)</td>
</tr>
<tr>
<td valign="top" align="left">DIC</td>
<td valign="top" align="center">1,950 (65.9)</td>
<td valign="top" align="center">2,250 (55.8)</td>
<td valign="top" align="center">1,980 (61.0)</td>
<td valign="top" align="center">2,190 (90.1)</td>
</tr>
<tr>
<td valign="top" align="left">Salinity</td>
<td valign="top" align="center">32.0 (0.5)</td>
<td valign="top" align="center">32.0 (0.5)</td>
<td valign="top" align="center">32.0 (0.5)</td>
<td valign="top" align="center">32.0 (0.5)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>Mean experimental values &#x000B1; standard deviation (see parentheses) for temperature (&#x000B0;C), pH<sub>T</sub> (total scale), pCO<sub>2</sub> (&#x003BC;atm), total alkalinity (&#x003BC;mol kg<sup>&#x02212;1</sup>), <inline-formula><mml:math id="M4"><mml:msubsup><mml:mrow><mml:mtext>CO</mml:mtext></mml:mrow><mml:mrow><mml:mn>3</mml:mn></mml:mrow><mml:mrow><mml:mn mathvariant="italic">2</mml:mn><mml:mo mathvariant="italic">-</mml:mo></mml:mrow></mml:msubsup></mml:math></inline-formula> (&#x003BC;mol kg<sup>&#x02212;1</sup>), and total dissolved inorganic carbon (&#x003BC;mol kg<sup>&#x02212;1</sup>)</italic>.</p>
</table-wrap-foot>
</table-wrap>
<p>Temperature and pH<sub>T</sub> values were recorded daily using a Honeywell Durafet Ion-Sensitive Field-Effect Transistor (ISFET)-based pH sensor calibrated with a seawater pH standard (Dickson, <xref ref-type="bibr" rid="B14">1993</xref>). In addition to daily measurements, temperatures were continuously monitored with <italic>in situ</italic> data loggers (HOBO Onset<sup>&#x000A9;</sup>). Discrete samples were taken prior to and after the conclusion of each experiment and analyzed for total dissolved inorganic carbon (DIC) using an infrared-based Environmental Gas Analyzer (EGM-4, PP Systems) calibrated with sodium bicarbonate standards. Certified reference material for DIC (University of California San Diego, Scripps Institution of Oceanography certified reference material for DIC, Batches 132-147) was analyzed before and after each analytical run and yielded recoveries of 103 &#x000B1; 5%. Levels of <italic>p</italic>CO<sub>2</sub> were calculated based on measured levels of DIC, pH, temperature, salinity, phosphate, silicate, and known first and second dissociation constants of carbonic acid in seawater (Millero, <xref ref-type="bibr" rid="B39">2010</xref>) using CO2SYS software (<ext-link ext-link-type="uri" xlink:href="http://cdiac.ornl.gov/ftp/co2sys/">http://cdiac.ornl.gov/ftp/co2sys/</ext-link>).</p>
</sec>
<sec>
<title>Interactive effects of temperature and high CO<sub>2</sub>&#x02014;<italic>Menidia beryllina</italic></title>
<p>To investigate interactive effects of <italic>p</italic>CO<sub>2</sub> and temperature on the early life history of <italic>M. beryllina</italic>, fertilized eggs were exposed to simulated high <italic>p</italic>CO<sub>2</sub> (low pH) environments at varying temperatures. Eighty eggs were included in each 8-L exposure aquaria (<italic>n</italic> &#x0003D; 4 replicates treatment<sup>&#x02212;1</sup>) at start of each of two separately conducted trials. The first experiment (Trial 1) involved exposures of larval fish (embryonic&#x02014;late-larval phases) to ambient (&#x0007E;400 &#x003BC;atm CO<sub>2</sub>) and elevated <italic>p</italic>CO<sub>2</sub> (&#x0007E;2,000 &#x003BC;atm) concurrently exposed to temperatures near (19&#x02013;21&#x000B0;C) or above (29&#x02013;30&#x000B0;C) their current thermal optimum (Environmental Protection Agency, <xref ref-type="bibr" rid="B18">1976</xref>; Table <xref ref-type="table" rid="T1">1</xref>). Fish during the second experiment (Trial 2) were exposed to similar levels of <italic>p</italic>CO<sub>2</sub> but, in addition to temperatures near their thermal optimum (e.g., 19&#x02013;20&#x000B0;C), were subjected to an expanded thermal gradient (23, 27, and 30&#x000B0;C; see Table <xref ref-type="table" rid="T2">2</xref>). The number of eggs and/or larvae present per experimental vessel was recorded daily. Upon hatching, fish were fed live-cultured rotifers (<italic>Brachionus plicatilis</italic>; 400 rotifers individual<sup>&#x02212;1</sup> day<sup>&#x02212;1</sup>), after day 5 (post-hatch) larvae were fed brine shrimp (<italic>Artemia salina</italic>; 100 shrimp individual<sup>&#x02212;1</sup> day<sup>&#x02212;1</sup>). The addition of food sources to experimental chambers had minimal impact on carbonate chemistry and the delivery rates of gases (e.g., ambient air and 5% CO<sub>2</sub>), if needed, were adjusted to ensure experimental parameters remained at or near to targeted levels. Feeding rates for temperature and <italic>p</italic>CO<sub>2</sub> exposures, as defined by the US Environmental Protection Agency (EPA), were considered to be <italic>ad libitum</italic> (Environmental Protection Agency, <xref ref-type="bibr" rid="B18">1976</xref>). Approximately 50% of water was exchanged within exposure aquaria every other day to limit the buildup of waste products and/or leftover food. Experiments concluded as initial mortality rates declined, 12 and 16 days post-fertilization for the first and second trial, respectively. Sub-samples of fish larvae were preserved in a 3% (v/v) phosphate buffered formalin solution and total length determined using a dissecting microscope and ImageJ&#x000AE; image analysis software.</p>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>Seawater chemistry for the experiment investigating expanded temperature and CO<sub>2</sub> effects on <italic>Menidia beryllina</italic>.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th/>
<th valign="top" align="center"><bold>Control, 20&#x000B0;C</bold></th>
<th valign="top" align="center"><bold>&#x0002B;CO<sub>2</sub>, 20&#x000B0;C</bold></th>
<th valign="top" align="center"><bold>Control, 23&#x000B0;C</bold></th>
<th valign="top" align="center"><bold>&#x0002B;CO<sub>2</sub>, 23&#x000B0;C</bold></th>
<th valign="top" align="center"><bold>Control 27&#x000B0;</bold></th>
<th valign="top" align="center"><bold>&#x0002B;CO<sub>2</sub> 27&#x000B0;</bold></th>
<th valign="top" align="center"><bold>Control 30&#x000B0;</bold></th>
<th valign="top" align="center"><bold>&#x0002B;CO<sub>2</sub> 30&#x000B0;</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Temperature</td>
<td valign="top" align="center">20 (0.15)</td>
<td valign="top" align="center">20 (0.15)</td>
<td valign="top" align="center">23 (0.28)</td>
<td valign="top" align="center">23 (0.28)</td>
<td valign="top" align="center">27 (0.28)</td>
<td valign="top" align="center">27 (0.28)</td>
<td valign="top" align="center">30 (0.55)</td>
<td valign="top" align="center">30 (0.55)</td>
</tr>
<tr>
<td valign="top" align="left">pH<sub>T</sub></td>
<td valign="top" align="center">7.82 (0.06)</td>
<td valign="top" align="center">7.21 (0.05)</td>
<td valign="top" align="center">7.82 (0.05)</td>
<td valign="top" align="center">7.26 (0.06)</td>
<td valign="top" align="center">7.81 (0.06)</td>
<td valign="top" align="center">7.23 (0.09)</td>
<td valign="top" align="center">7.82 (0.06)</td>
<td valign="top" align="center">7.21 (0.06)</td>
</tr>
<tr>
<td valign="top" align="left"><italic>p</italic>CO<sub>2</sub></td>
<td valign="top" align="center">392 (39.1)</td>
<td valign="top" align="center">2,164 (368)</td>
<td valign="top" align="center">368 (35.5)</td>
<td valign="top" align="center">1,610 (438)</td>
<td valign="top" align="center">333 (21.0)</td>
<td valign="top" align="center">1,740 (301)</td>
<td valign="top" align="center">327 (4.79)</td>
<td valign="top" align="center">1,402 (289)</td>
</tr>
<tr>
<td valign="top" align="left">TA</td>
<td valign="top" align="center">1,721 (50.4)</td>
<td valign="top" align="center">1,718 (92.0)</td>
<td valign="top" align="center">1,766 (119)</td>
<td valign="top" align="center">1,711 (122)</td>
<td valign="top" align="center">1,756 (85.3)</td>
<td valign="top" align="center">1,753 (116)</td>
<td valign="top" align="center">1,794 (46.8)</td>
<td valign="top" align="center">1,728 (91.0)</td>
</tr>
<tr>
<td valign="top" align="left"><inline-formula><mml:math id="M5"><mml:msubsup><mml:mrow><mml:mtext>CO</mml:mtext></mml:mrow><mml:mrow><mml:mn>3</mml:mn></mml:mrow><mml:mrow><mml:mn>2</mml:mn><mml:mo>-</mml:mo></mml:mrow></mml:msubsup></mml:math></inline-formula></td>
<td valign="top" align="center">116 (5.20)</td>
<td valign="top" align="center">28.8 (4.70)</td>
<td valign="top" align="center">129 (9.20)</td>
<td valign="top" align="center">38.8 (7.31)</td>
<td valign="top" align="center">138 (8.44)</td>
<td valign="top" align="center">37.7 (5.27)</td>
<td valign="top" align="center">146 (4.28)</td>
<td valign="top" align="center">45.4 (9.04)</td>
</tr>
<tr>
<td valign="top" align="left">DIC</td>
<td valign="top" align="center">1,545 (49.1)</td>
<td valign="top" align="center">1,737 (93.7)</td>
<td valign="top" align="center">1,571 (112)</td>
<td valign="top" align="center">1,697 (141)</td>
<td valign="top" align="center">1,545 (78.0)</td>
<td valign="top" align="center">1,744 (121)</td>
<td valign="top" align="center">1,572 (43.1)</td>
<td valign="top" align="center">1,697 (90.8)</td>
</tr>
<tr>
<td valign="top" align="left">Salinity</td>
<td valign="top" align="center">32.5 (0.5)</td>
<td valign="top" align="center">32.5 (0.5)</td>
<td valign="top" align="center">32.5 (0.5)</td>
<td valign="top" align="center">32.5 (0.5)</td>
<td valign="top" align="center">32.5 (0.5)</td>
<td valign="top" align="center">32.5 (0.5)</td>
<td valign="top" align="center">32.5 (0.5)</td>
<td valign="top" align="center">32.5 (0.5)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>Mean experimental values &#x000B1; standard deviation (see parentheses) for temperature (&#x000B0;C), pH<sub>T</sub> (total scale), pCO<sub>2</sub> (&#x003BC;atm), total alkalinity (&#x003BC;mol kg<sup>&#x02212;1</sup>), <inline-formula><mml:math id="M6"><mml:msubsup><mml:mrow><mml:mtext>CO</mml:mtext></mml:mrow><mml:mrow><mml:mn>3</mml:mn></mml:mrow><mml:mrow><mml:mn mathvariant="italic">2</mml:mn><mml:mo mathvariant="italic">-</mml:mo></mml:mrow></mml:msubsup></mml:math></inline-formula> (&#x003BC;mol kg<sup>&#x02212;1</sup>), and total dissolved inorganic carbon (&#x003BC;mol kg<sup>&#x02212;1</sup>)</italic>.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec>
<title>Interactive effects of high CO<sub>2</sub> and food-limitation&#x02014;<italic>Menidia beryllina</italic></title>
<p>An additional experiment was conducted to examine the effect of high <italic>p</italic>CO<sub>2</sub> and food availability on <italic>M. beryllina</italic> (Trial 3). Carbonate chemistry (elevated and ambient <italic>p</italic>CO<sub>2</sub>), fish embryos (<italic>n</italic> &#x0003D; 80 embryos aquaria<sup>&#x02212;1</sup>, <italic>n</italic> &#x0003D; 4 replicate aquaria treatment<sup>&#x02212;1</sup>), and experimental aquaria were maintained and monitored as described above (see Table <xref ref-type="table" rid="T3">3</xref>). Upon hatching individuals in fed treatments were provided an optimal diet throughout the experiment as described above. Individuals in food-limited treatments were fed 20% of their optimal diet (see Environmental Protection Agency, <xref ref-type="bibr" rid="B18">1976</xref>). The number of eggs and/or larvae present per experimental vessel was recorded daily. Sub-samples of fish larvae were preserved at the conclusion of experimentation and total lengths of fish from each experimental treatment quantified (detailed above). Experiment concluded &#x0007E;10 days post-hatch as initial rates of mortality declined.</p>
<table-wrap position="float" id="T3">
<label>Table 3</label>
<caption><p>Seawater chemistry for experiments investigating food-limitation and effects of high <italic>p</italic>CO<sub>2</sub> on <italic>Menidia beryllina</italic>.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th/>
<th valign="top" align="left"><bold>Control, 24&#x000B0;C</bold></th>
<th valign="top" align="left"><bold>&#x0002B;CO<sub>2</sub>, 24&#x000B0;C</bold></th>
<th valign="top" align="left"><bold>Control starved, 24&#x000B0;C</bold></th>
<th valign="top" align="left"><bold>&#x0002B;CO<sub>2</sub> starved, 24&#x000B0;C</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Temperature</td>
<td valign="top" align="left">24 (0.43)</td>
<td valign="top" align="left">24 (0.43)</td>
<td valign="top" align="center">24 (0.43)</td>
<td valign="top" align="center">24 (0.43)</td>
</tr>
<tr>
<td valign="top" align="left">pH<sub>T</sub></td>
<td valign="top" align="left">7.92 (0.03)</td>
<td valign="top" align="left">7.38 (0.05)</td>
<td valign="top" align="center">7.92 (0.03)</td>
<td valign="top" align="center">7.39 (0.05)</td>
</tr>
<tr>
<td valign="top" align="left"><italic>p</italic>CO<sub>2</sub></td>
<td valign="top" align="left">494 (16.4)</td>
<td valign="top" align="left">2,088 (343)</td>
<td valign="top" align="center">500 (14.9)</td>
<td valign="top" align="center">2,068 (376)</td>
</tr>
<tr>
<td valign="top" align="left">TA</td>
<td valign="top" align="left">2,056 (16.9)</td>
<td valign="top" align="left">2,042 (10.6)</td>
<td valign="top" align="center">2,064 (46.3)</td>
<td valign="top" align="center">2,102 (64.2)</td>
</tr>
<tr>
<td valign="top" align="left"><inline-formula><mml:math id="M7"><mml:msubsup><mml:mrow><mml:mtext>CO</mml:mtext></mml:mrow><mml:mrow><mml:mn>3</mml:mn></mml:mrow><mml:mrow><mml:mn>2</mml:mn><mml:mo>-</mml:mo></mml:mrow></mml:msubsup></mml:math></inline-formula></td>
<td valign="top" align="left">129 (3.02)</td>
<td valign="top" align="left">39.0 (5.08)</td>
<td valign="top" align="center">128 (8.29)</td>
<td valign="top" align="center">41.8 (5.84)</td>
</tr>
<tr>
<td valign="top" align="left">DIC</td>
<td valign="top" align="left">1,895 (16.3)</td>
<td valign="top" align="left">2,049 (16.6)</td>
<td valign="top" align="center">1,884 (34.7)</td>
<td valign="top" align="center">2,105 (74.9)</td>
</tr>
<tr>
<td valign="top" align="left">Salinity</td>
<td valign="top" align="left">32.5 (0.5)</td>
<td valign="top" align="left">32.5 (0.5)</td>
<td valign="top" align="center">32.5 (0.5)</td>
<td valign="top" align="center">32.5 (0.5)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>Mean experimental values &#x000B1; standard deviation (see parentheses) for temperature (&#x000B0;C), pH<sub>T</sub> (total scale), pCO<sub>2</sub> (&#x003BC;atm), total alkalinity (&#x003BC;mol kg<sup>&#x02212;1</sup>), <inline-formula><mml:math id="M8"><mml:msubsup><mml:mrow><mml:mtext>CO</mml:mtext></mml:mrow><mml:mrow><mml:mn>3</mml:mn></mml:mrow><mml:mrow><mml:mn mathvariant="italic">2</mml:mn><mml:mo mathvariant="italic">-</mml:mo></mml:mrow></mml:msubsup></mml:math></inline-formula> (&#x003BC;mol kg<sup>&#x02212;1</sup>), and total dissolved inorganic carbon (&#x003BC;mol kg<sup>&#x02212;1</sup>)</italic>.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec>
<title>Interactive effects of high CO<sub>2</sub>, elevated temperature, and food-limitation&#x02014; <italic>Menidia beryllina</italic> and <italic>Cyprinodon variegatus</italic></title>
<p>The combined effects of elevated <italic>p</italic>CO<sub>2</sub>, increased temperature, and food-limitation on the early-life stages of both <italic>M. beryllina and C. variegatus</italic> were characterized (Trials 4 and 5, respectively). Embryos (<italic>n</italic> &#x0003D; 80 embryos aquaria<sup>&#x02212;1</sup>, <italic>n</italic> &#x0003D; 4 replicates treatment<sup>&#x02212;1</sup>) collected from <italic>M. beryllina</italic> broodstock (detailed above) were added to 8-L polyethylene aquaria at temperatures near (e.g., 20&#x02013;22&#x000B0;C) and above (30&#x000B0;C) their thermal optimum. Within each temperature, high, and ambient <italic>p</italic>CO<sub>2</sub> (see above) conditions were paired with optimal and sub-optimal (e.g., 20% of optimal; Environmental Protection Agency, <xref ref-type="bibr" rid="B18">1976</xref>) food conditions. The maintenance and monitoring of experiments was conducted as described above (see Table <xref ref-type="table" rid="T4">4</xref>). Upon hatching, the percentage of eggs hatching and/or number of surviving larvae was quantified within each aquaria daily. Sub-samples of larvae from each experimental replicate were preserved at the conclusion of the experiment and total lengths quantified (as described above).</p>
<table-wrap position="float" id="T4">
<label>Table 4</label>
<caption><p>Seawater chemistry for experiments investigating temperature, food-limitation, and high <italic>p</italic>CO<sub>2</sub> effects on <italic>Menidia beryllina</italic>.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th/>
<th valign="top" align="center"><bold>Control, 22&#x000B0;C</bold></th>
<th valign="top" align="center"><bold>&#x0002B;CO<sub>2</sub>, 22&#x000B0;C</bold></th>
<th valign="top" align="center"><bold>Control starved, 22&#x000B0;C</bold></th>
<th valign="top" align="center"><bold>&#x0002B;CO<sub>2</sub> starved, 22&#x000B0;C</bold></th>
<th valign="top" align="center"><bold>Control, 30&#x000B0;C</bold></th>
<th valign="top" align="center"><bold>&#x0002B;CO<sub>2</sub>, 30&#x000B0;C</bold></th>
<th valign="top" align="center"><bold>Control starved, 30&#x000B0;C</bold></th>
<th valign="top" align="center"><bold>&#x0002B;CO<sub>2</sub> starved, 30&#x000B0;C</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Temperature</td>
<td valign="top" align="center">22 (0.26)</td>
<td valign="top" align="center">22 (0.26)</td>
<td valign="top" align="center">22 (0.26)</td>
<td valign="top" align="center">22 (0.26)</td>
<td valign="top" align="center">30 (0.24)</td>
<td valign="top" align="center">30 (0.24)</td>
<td valign="top" align="center">30 (0.24)</td>
<td valign="top" align="center">30 (0.24)</td>
</tr>
<tr>
<td valign="top" align="left">pH<sub>T</sub></td>
<td valign="top" align="center">7.92 (0.02)</td>
<td valign="top" align="center">7.26 (0.09)</td>
<td valign="top" align="center">7.93 (0.02)</td>
<td valign="top" align="center">7.30 (0.07)</td>
<td valign="top" align="center">7.95 (0.01)</td>
<td valign="top" align="center">7.33 (0.06)</td>
<td valign="top" align="center">7.96 (0.02)</td>
<td valign="top" align="center">7.31 (0.06)</td>
</tr>
<tr>
<td valign="top" align="left"><italic>p</italic>CO<sub>2</sub></td>
<td valign="top" align="center">381 (49.0)</td>
<td valign="top" align="center">2,410 (250)</td>
<td valign="top" align="center">358 (15.4)</td>
<td valign="top" align="center">2,231 (112)</td>
<td valign="top" align="center">351 (11.8)</td>
<td valign="top" align="center">2,576 (190)</td>
<td valign="top" align="center">364 (15.8)</td>
<td valign="top" align="center">2,340 (30.1)</td>
</tr>
<tr>
<td valign="top" align="left">TA</td>
<td valign="top" align="center">2,120 (24.0)</td>
<td valign="top" align="center">1,978 (37.7)</td>
<td valign="top" align="center">2,111 (86.9)</td>
<td valign="top" align="center">1,869 (1.31)</td>
<td valign="top" align="center">2,211 (200)</td>
<td valign="top" align="center">2,267 (27.4)</td>
<td valign="top" align="center">2,381 (5.20)</td>
<td valign="top" align="center">2,220 (66.2)</td>
</tr>
<tr>
<td valign="top" align="left"><inline-formula><mml:math id="M9"><mml:msubsup><mml:mrow><mml:mtext>CO</mml:mtext></mml:mrow><mml:mrow><mml:mn>3</mml:mn></mml:mrow><mml:mrow><mml:mn>2</mml:mn><mml:mo>-</mml:mo></mml:mrow></mml:msubsup></mml:math></inline-formula></td>
<td valign="top" align="center">169 (11.2)</td>
<td valign="top" align="center">32.9 (1.93)</td>
<td valign="top" align="center">174 (7.48)</td>
<td valign="top" align="center">31.7 (1.49)</td>
<td valign="top" align="center">231 (30.3)</td>
<td valign="top" align="center">53.3 (4.74)</td>
<td valign="top" align="center">256 (5.56)</td>
<td valign="top" align="center">55.6 (2.53)</td>
</tr>
<tr>
<td valign="top" align="left">DIC</td>
<td valign="top" align="center">1,879 (43.3)</td>
<td valign="top" align="center">2,002 (48.8)</td>
<td valign="top" align="center">1,862 (79.9)</td>
<td valign="top" align="center">1,889 (7.14)</td>
<td valign="top" align="center">1,881 (166)</td>
<td valign="top" align="center">2,257 (15.9)</td>
<td valign="top" align="center">2,024 (13.9)</td>
<td valign="top" align="center">2,199 (64.0)</td>
</tr>
<tr>
<td valign="top" align="left">Salinity</td>
<td valign="top" align="center">32.5 (0.5)</td>
<td valign="top" align="center">32.5 (0.5)</td>
<td valign="top" align="center">32.5 (0.5)</td>
<td valign="top" align="center">32.5 (0.5)</td>
<td valign="top" align="center">32.5 (0.5)</td>
<td valign="top" align="center">32.5 (0.5)</td>
<td valign="top" align="center">32.5 (0.5)</td>
<td valign="top" align="center">32.5 (0.5)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>Mean experimental values &#x000B1; standard deviation (see parentheses) for temperature (&#x000B0;C), pH<sub>T</sub> (total scale), pCO<sub>2</sub> (&#x003BC;atm), total alkalinity (&#x003BC;mol kg<sup>&#x02212;1</sup>), <inline-formula><mml:math id="M10"><mml:msubsup><mml:mrow><mml:mtext>CO</mml:mtext></mml:mrow><mml:mrow><mml:mn>3</mml:mn></mml:mrow><mml:mrow><mml:mn mathvariant="italic">2</mml:mn><mml:mo mathvariant="italic">-</mml:mo></mml:mrow></mml:msubsup></mml:math></inline-formula> (&#x003BC;mol kg<sup>&#x02212;1</sup>), and total dissolved inorganic carbon (&#x003BC;mol kg<sup>&#x02212;1</sup>)</italic>.</p>
</table-wrap-foot>
</table-wrap>
<p>For <italic>C. vareigatus</italic>, embryos (<italic>n</italic> &#x0003D; 80 embryos aquaria<sup>&#x02212;1</sup>) were added to each experimental vessel (<italic>n</italic> &#x0003D; 4 replicate treatment<sup>&#x02212;1</sup>) and exposed to temperatures below (16&#x000B0;C), near (23&#x000B0;C), and above 30&#x000B0;C their thermal optimum at high and ambient <italic>p</italic>CO<sub>2</sub> (see above). Within the 23&#x000B0;C treatment only, high and ambient <italic>p</italic>CO<sub>2</sub> conditions were coupled with fed and food-limited conditions (e.g., 20% of optimal). The maintenance of organisms and monitoring of all experimental parameters were conducted as described for all preceding experimental trials (Table <xref ref-type="table" rid="T5">5</xref>). Sub-sets of larvae were preserved and total lengths of surviving individuals from each exposure vessel were quantified as detailed above.</p>
<table-wrap position="float" id="T5">
<label>Table 5</label>
<caption><p>Seawater chemistry for experiments investigating temperature, food-limitation, and high <italic>p</italic>CO<sub>2</sub> effects on <italic>Cyprinodon variegatus</italic>.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th/>
<th valign="top" align="center"><bold>Control, 23&#x000B0;C</bold></th>
<th valign="top" align="center"><bold>&#x0002B;CO<sub>2</sub>, 23&#x000B0;C</bold></th>
<th valign="top" align="center"><bold>Control starved, 23&#x000B0;C</bold></th>
<th valign="top" align="center"><bold>&#x0002B;CO<sub>2</sub> starved, 23&#x000B0;C</bold></th>
<th valign="top" align="center"><bold>Control 16&#x000B0;</bold></th>
<th valign="top" align="center"><bold>&#x0002B;CO<sub>2</sub> 16&#x000B0;</bold></th>
<th valign="top" align="center"><bold>Control 30&#x000B0;</bold></th>
<th valign="top" align="center"><bold>&#x0002B;CO<sub>2</sub> 30&#x000B0;</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Temperature</td>
<td valign="top" align="center">23 (0.29)</td>
<td valign="top" align="center">23 (0.29)</td>
<td valign="top" align="center">23 (0.29)</td>
<td valign="top" align="center">23 (0.29)</td>
<td valign="top" align="center">16 (0.09)</td>
<td valign="top" align="center">16 (0.09)</td>
<td valign="top" align="center">30 (0.16)</td>
<td valign="top" align="center">30 (0.16)</td>
</tr>
<tr>
<td valign="top" align="left">pH<sub>T</sub></td>
<td valign="top" align="center">7.86 (0.06)</td>
<td valign="top" align="center">7.31 (0.08)</td>
<td valign="top" align="center">7.87 (0.07)</td>
<td valign="top" align="center">7.31 (0.07)</td>
<td valign="top" align="center">7.88 (0.04)</td>
<td valign="top" align="center">7.30 (0.09)</td>
<td valign="top" align="center">7.90 (0.06)</td>
<td valign="top" align="center">7.31 (0.10)</td>
</tr>
<tr>
<td valign="top" align="left"><italic>p</italic>CO<sub>2</sub></td>
<td valign="top" align="center">397 (7.13)</td>
<td valign="top" align="center">2,057 (168)</td>
<td valign="top" align="center">404 (10.2)</td>
<td valign="top" align="center">2,191 (156)</td>
<td valign="top" align="center">519 (11.4)</td>
<td valign="top" align="center">2,356 (17.4)</td>
<td valign="top" align="center">417 (4.00)</td>
<td valign="top" align="center">2,055 (98.1)</td>
</tr>
<tr>
<td valign="top" align="left">TA</td>
<td valign="top" align="center">1,519 (16.5)</td>
<td valign="top" align="center">1,429 (15.9)</td>
<td valign="top" align="center">1,505 (16.7)</td>
<td valign="top" align="center">1,431 (45.4)</td>
<td valign="top" align="center">1,487 (5.56)</td>
<td valign="top" align="center">1,481 (59.3)</td>
<td valign="top" align="center">1,676 (15.1)</td>
<td valign="top" align="center">1,720 (164)</td>
</tr>
<tr>
<td valign="top" align="left"><inline-formula><mml:math id="M11"><mml:msubsup><mml:mrow><mml:mtext>CO</mml:mtext></mml:mrow><mml:mrow><mml:mn>3</mml:mn></mml:mrow><mml:mrow><mml:mn>2</mml:mn><mml:mo>-</mml:mo></mml:mrow></mml:msubsup></mml:math></inline-formula></td>
<td valign="top" align="center">90.4 (1.63)</td>
<td valign="top" align="center">20.1 (1.86)</td>
<td valign="top" align="center">88.5 (3.00)</td>
<td valign="top" align="center">19.0 (0.88)</td>
<td valign="top" align="center">69.5 (1.19)</td>
<td valign="top" align="center">18.6 (1.43)</td>
<td valign="top" align="center">103 (2.60)</td>
<td valign="top" align="center">39.2 (5.09)</td>
</tr>
<tr>
<td valign="top" align="left">DIC</td>
<td valign="top" align="center">1,378 (15.4)</td>
<td valign="top" align="center">1,458 (13.4)</td>
<td valign="top" align="center">1,366 (12.3)</td>
<td valign="top" align="center">1,466 (49.5)</td>
<td valign="top" align="center">1,384 (8.20)</td>
<td valign="top" align="center">1,524 (57.7)</td>
<td valign="top" align="center">1,520 (11.3)</td>
<td valign="top" align="center">1,709 (162)</td>
</tr>
<tr>
<td valign="top" align="left">Salinity</td>
<td valign="top" align="center">32.5 (0.5)</td>
<td valign="top" align="center">32.5 (0.5)</td>
<td valign="top" align="center">32.5 (0.5)</td>
<td valign="top" align="center">32.5 (0.5)</td>
<td valign="top" align="center">32.5 (0.5)</td>
<td valign="top" align="center">32.5 (0.5)</td>
<td valign="top" align="center">32.5 (0.5)</td>
<td valign="top" align="center">32.5 (0.5)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>Mean experimental values &#x000B1; standard deviation (see parentheses) for temperature (&#x000B0;C), pH<sub>T</sub> (total scale), pCO<sub>2</sub> (&#x003BC;atm), total alkalinity (&#x003BC;mol kg<sup>&#x02212;1</sup>), <inline-formula><mml:math id="M12"><mml:msubsup><mml:mrow><mml:mtext>CO</mml:mtext></mml:mrow><mml:mrow><mml:mn>3</mml:mn></mml:mrow><mml:mrow><mml:mn mathvariant="italic">2</mml:mn><mml:mo mathvariant="italic">-</mml:mo></mml:mrow></mml:msubsup></mml:math></inline-formula> (&#x003BC;mol kg<sup>&#x02212;1</sup>), and total dissolved inorganic carbon (&#x003BC;mol kg<sup>&#x02212;1</sup>)</italic>.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec>
<title>Statistical analysis</title>
<p>Differences in the time to hatch, hatch success, survival, and size (e.g., mean total length of survivors) of <italic>M. beryllina</italic> exposed to varying temperature and <italic>p</italic>CO<sub>2</sub> were analyzed using a two-way analysis of variance (ANOVA, Trials 1 and 2). To interpret the effects of food limitation in combination with elevated <italic>p</italic>CO<sub>2</sub> conditions on the final survival and size of <italic>M. beryllina</italic> larvae, a two-way ANOVA was conducted (see Trial 3). For Trial 3, as fish embryos do not feed exogenously until post-hatch, dietary effects on time to hatch and/or hatch percentage were not assessed. As such, differences in the hatching success and time to hatch among <italic>M. beryllina</italic> embryos exposed to varying carbonate chemistry regimes were analyzed using a Welch&#x00027;s <italic>t</italic>-test by pooling fed and food-limited treatment means within respective <italic>p</italic>CO<sub>2</sub> treatments. The effects of temperature, food-limitation, and <italic>p</italic>CO<sub>2</sub> on the final size and survival of <italic>M. beryllina</italic> larvae were assessed using a three-way ANOVA (Trial 4). Similarly, to interpret effects of <italic>p</italic>CO<sub>2</sub> and temperature on the time to hatch and overall hatch success on <italic>M. beryllina</italic> embryos, a two-way ANOVA was conducted by pooling mean responses among fed and food-limited treatments within each exposure temperature and <italic>p</italic>CO<sub>2</sub> level. The effects of temperature, <italic>p</italic>CO<sub>2</sub>, and food-limitation on the final size and survival of <italic>C. variegatus</italic> larvae were compared using a three-way ANOVA (Trial 5). Differences in the time to hatch and overall hatch success among <italic>C. variegatus</italic> embryos subjected to elevated and ambient <italic>p</italic>CO<sub>2</sub> levels were compared using a Welch&#x00027;s <italic>t</italic>-test. Again, within 23&#x000B0;C exposure treatments, fed and food-limited treatment means were pooled within each respective <italic>p</italic>CO<sub>2</sub> treatment prior to analysis. When significant differences were detected amongst main effects (e.g., temperature, <italic>p</italic>CO<sub>2</sub>, nutrition), a Holm-Sidak procedure for multiple comparisons was used to identify the source of variance. Assumptions of normality and homoscedasticity were assessed and confirmed using Lilliefors (Kolmogorov&#x02013;Smirnov) and Levene&#x00027;s tests, respectively. To correct violations of a normal distribution and/or homogeneity of variance an arcsine-square-root transformation was applied as needed. All results were deemed significant at &#x003B1; &#x02264; 0.05. All analyses were performed using SigmaPlot&#x02122; 11.0 and R<sup>&#x000A9;</sup> (<ext-link ext-link-type="uri" xlink:href="http://www.cran.r-project.org">www.cran.r-project.org</ext-link>, Version 3.2.5) statistical software. Experimental conditions within experimental aquaria were monitored multiple times daily assuring that conditions among replicate aquaria within each treatment were identical and that variables influencing the normal growth and development of model organisms other than those experimentally controlled were entirely random among treatments and among replicates within each treatment.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec>
<title>Interactive effects of temperature and high CO<sub>2</sub>&#x02014;<italic>Menidia beryllina</italic></title>
<p>Within the first trial (see Trial 1) temperature had a significant impact on the hatching time of <italic>M. beryllina</italic>, with lower temperature (19&#x000B0;C) extending the hatch time of eggs (<italic>p</italic> &#x0003C; 0.001, two-way ANOVA, Figure <xref ref-type="fig" rid="F1">1A</xref>) by five days relative to the warmer treatment (29&#x000B0;C). Within the cooler treatment overall hatch success was 80 &#x000B1; 12%, a significant (<italic>p</italic> &#x0003C; 0.01, two-way ANOVA) reduction relative to the warm treatment (96 &#x000B1; 3.1%; <italic>p</italic> &#x0003C; 0.01, two-way ANOVA, Figure <xref ref-type="fig" rid="F1">1B</xref>). Elevated <italic>p</italic>CO<sub>2</sub>, at warmer temperature, had significant (<italic>p</italic> &#x0003C; 0.01, two-way ANOVA; Figure <xref ref-type="fig" rid="F1">1C</xref>) impacts on larval survival 10 days post-hatch, with the elevated <italic>p</italic>CO<sub>2</sub> treatment yielding lower survival (6.0 &#x000B1; 2.0%; <italic>p</italic> &#x0003C; 0.05; Holm-Sidak) rates than the ambient treatment (35 &#x000B1; 7.9%). In addition, there were significant (<italic>p</italic> &#x0003C; 0.001, two-way ANOVA) effects of temperature on the final size of larvae (Figure <xref ref-type="fig" rid="F1">1D</xref>). Individuals within the cooler (19&#x000B0;C) temperature treatment, regardless of <italic>p</italic>CO<sub>2</sub> level, were significantly (<italic>p</italic> &#x0003C; 0.05, Holm-Sidak) smaller (mean length &#x0003D; 4.3 &#x000B1; 0.14 mm) than larvae within the warmer (29&#x000B0;C) treatment (mean length &#x0003D; 5.9 &#x000B1; 0.68 mm) at 10 days post-hatch. There was also a significant (<italic>p</italic> &#x0003C; 0.05, two-way ANOVA) effect of <italic>p</italic>CO<sub>2</sub> on final size of fish within the warm temperature treatment only (e.g., 30&#x000B0;C), with fish exposed to elevated <italic>p</italic>CO<sub>2</sub> displaying a 15 &#x000B1; 0.1% reduction in total length relative to ambient <italic>p</italic>CO<sub>2</sub>-treatment fish although there was no interaction with temperature (<italic>p</italic> &#x0003C; 0.001, Holm-Sidak, Figure <xref ref-type="fig" rid="F1">1D</xref>).</p>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p>Temperature and <italic>p</italic>CO<sub>2</sub> effect <italic>Menidia beryllina</italic>. <bold>(A)</bold> Days to hatch. <bold>(B)</bold> Percent hatched. <bold>(C)</bold> Percent survival. <bold>(D)</bold> Length. Bars represent the mean (<italic>n</italic> &#x0003D; 4) and error bars represent the standard deviation (letters denote significant groupings).</p></caption>
<graphic xlink:href="fmars-05-00086-g0001.tif"/>
</fig>
<p>In the experiment with an expanded temperature range (e.g., Trial 2; 20, 23, 27, and 30&#x000B0;C) considered in tandem with ambient and elevated levels of <italic>p</italic>CO<sub>2</sub> (&#x0007E;400 and 2,000 &#x003BC;atm, respectively), temperature again, significantly (<italic>p</italic> &#x0003C; 0.05, two-way ANOVA) altered the time to hatch of embryos. Larvae within the cooler (20&#x000B0;C) temperature treatment took significantly longer to hatch (11.0 &#x000B1; 0.0 days) than eggs incubated at 23 (8.4 &#x000B1; 1.2 days), 27 (6.1 &#x000B1; 0.4 days) and 30&#x000B0;C (7.3 &#x000B1; 0.65 days; <italic>p</italic> &#x0003C; 0.001, Holm-Sidak, Figure <xref ref-type="fig" rid="F2">2</xref>). Similar to Trial 1, temperature (<italic>p</italic> &#x0003C; 0.05, two-way ANOVA), but not CO<sub>2</sub>, controlled hatching success across broader temperature regimes (Figure <xref ref-type="fig" rid="F2">2B</xref>). Hatch success rates within 27 and 30&#x000B0;C treatments were 94 &#x000B1; 0.9 and 85 &#x000B1; 4.3%, respectively, with the percentage of individuals hatching at 20&#x000B0;C (61 &#x000B1; 5.6%) being significantly (<italic>p</italic> &#x0003C; 0.05, two-way ANOVA) depressed relative to individuals reared at 23 (67 &#x000B1; 1.0%) and 27&#x000B0;C, and successes at 23&#x000B0;C being significantly (<italic>p</italic> &#x0003C; 0.05, two-way ANOVA) depressed relative to those at 27&#x000B0;C. Temperature also had a significant (<italic>p</italic> &#x0003C; 0.01, two-way ANOVA) impact on larval survival (10 days post-hatch, Figure <xref ref-type="fig" rid="F2">2C</xref>). Survival was greatest at 27&#x000B0;C (80 &#x000B1; 11%) and significantly (<italic>p</italic> &#x0003C; 0.01: Holm-Sidak) greater than survival at 20 (60 &#x000B1; 8.6%) and 23&#x000B0;C (71 &#x000B1; 6.0%), respectively. Temperature, again, had significant (<italic>p</italic> &#x0003C; 0.05, two-way ANOVA) effects on the growth of larvae with larvae reared at 20&#x000B0;C exhibiting 16 &#x000B1; 0.07, 21 &#x000B1; 0.05, and 18 &#x000B1; 0.08% reductions in length relative to fish raised at 23, 27, and 30&#x000B0;C, respectively, 10 days post-hatch (all <italic>p</italic> &#x0003C; 0.01, Holm-Sidak, Figure <xref ref-type="fig" rid="F2">2D</xref>).</p>
<fig id="F2" position="float">
<label>Figure 2</label>
<caption><p>Expanded effects of temperature and <italic>p</italic>CO<sub>2</sub> on <italic>Menidia beryllina</italic>. <bold>(A)</bold> Days to hatch. <bold>(B)</bold> Percent hatched. <bold>(C)</bold> Percent survival. <bold>(D)</bold> Length. Bars represent the mean (<italic>n</italic> &#x0003D; 4) and error bars represent the standard deviation (letters denote significant groupings).</p></caption>
<graphic xlink:href="fmars-05-00086-g0002.tif"/>
</fig>
<p>There was no independent effect of <italic>p</italic>CO<sub>2</sub> on larval survival, but a significant (<italic>p</italic> &#x0003C; 0.05, two-way ANOVA) interactive effect between temperature and <italic>p</italic>CO<sub>2</sub> was observed (Figure <xref ref-type="fig" rid="F2">2C</xref>). Specifically, elevated <italic>p</italic>CO<sub>2</sub> (&#x0007E;2,000 &#x003BC;atm) reduced larval survival within 20 and 27&#x000B0;C treatments only, where 54 &#x000B1; 6.0 and 60 &#x000B1; 18% of individuals survived, a significant (<italic>p</italic> &#x0003C; 0.05, Holm-Sidak) reduction relative to the survival of rates of 67 &#x000B1; 4.1 and 87 &#x000B1; 11% observed in fish maintained at the same temperatures but exposed to lower <italic>p</italic>CO<sub>2</sub> (&#x0007E;400 &#x003BC;atm) levels.</p>
</sec>
<sec>
<title>Interactive effects of high CO<sub>2</sub> and food-limitation&#x02014;<italic>Menidia beryllina</italic></title>
<p>Levels of <italic>p</italic>CO<sub>2</sub> had no significant bearing on time to hatching or the overall hatching success among <italic>M. beryllina</italic> embryos (Figures <xref ref-type="fig" rid="F3">3A,B</xref>; <italic>p</italic> &#x0003E; 0.05, Welch&#x00027;s <italic>t</italic>-test), but did significantly (<italic>p</italic> &#x0003C; 0.05, two-way ANOVA) lower larval survival (Figure <xref ref-type="fig" rid="F3">3C</xref>). In addition, a significant interactive (<italic>p</italic> &#x0003C; 0.05, two-way ANOVA) effect between diet and <italic>p</italic>CO<sub>2</sub> was observed (Figure <xref ref-type="fig" rid="F3">3C</xref>) whereby, survivorship of 10 day post-hatch larvae was greater in the fed treatment (14 &#x000B1; 13%) compared with the low food treatment (4 &#x000B1; 5%) in the high <italic>p</italic>CO<sub>2</sub> groups, but there was no difference in the survivorship between food treatment in the controls (71 &#x000B1; 4.57%; Figure <xref ref-type="fig" rid="F3">3C</xref>). With regards to final size, levels of <italic>p</italic>CO<sub>2</sub> and diet both had significant independent effects on total fish length (<italic>p</italic> &#x0003C; 0.001, two-way ANOVA, Figure <xref ref-type="fig" rid="F3">3D</xref>). Fish within control treatments, were 11 &#x000B1; 0.5% larger than the elevated <italic>p</italic>CO<sub>2</sub> treatment-fish and were 14 &#x000B1; 0.6% larger than fish provided with less food at ambient <italic>p</italic>CO<sub>2</sub> (both <italic>p</italic> &#x0003C; 0.01, Holm-Sidak, Figure <xref ref-type="fig" rid="F3">3D</xref>).</p>
<fig id="F3" position="float">
<label>Figure 3</label>
<caption><p>Diet and <italic>p</italic>CO<sub>2</sub> effect on <italic>Menidia beryllina</italic>. <bold>(A)</bold> Days to hatch. <bold>(B)</bold> Percent hatched. <bold>(C)</bold> Percent survival. <bold>(D)</bold> Length. Bars represent the mean (<italic>n</italic> &#x0003D; 4) and error bars represent the standard deviation (letters denote significant groupings).</p></caption>
<graphic xlink:href="fmars-05-00086-g0003.tif"/>
</fig>
</sec>
<sec>
<title>Interactive effects of high CO<sub>2</sub>, temperature, and food-limitation&#x02014; <italic>Menidia beryllina</italic></title>
<p>Warmer temperature significantly (<italic>p</italic> &#x0003C; 0.001, two-way ANOVA) decreased egg incubation time for <italic>M. beryllina</italic> (Figure <xref ref-type="fig" rid="F4">4A</xref>), with embryos incubated at 22&#x000B0;C hatching within 9.6 &#x000B1; 0.8 days, whereas the mean time to hatch of embryos incubated at 30&#x000B0;C was 6.3 &#x000B1; 1.2 days (<italic>p</italic> &#x0003C; 0.05, Holm-Sidak, Figure <xref ref-type="fig" rid="F4">4A</xref>). Temperature and <italic>p</italic>CO<sub>2</sub> did not significantly (<italic>p</italic> &#x0003E; 0.05, two-way ANOVA) alter hatch success (Figure <xref ref-type="fig" rid="F4">4B</xref>). However, significant (<italic>p</italic> &#x0003C; 0.001, three-way ANOVA) dietary effects were observed whereby survival, regardless of <italic>p</italic>CO<sub>2</sub> and temperature, was decreased (<italic>p</italic> &#x0003C; 0.05, three-way ANOVA) within food-limited treatments (7.4 &#x000B1; 14%) relative to fish fed <italic>ad libitum</italic> (52 &#x000B1; 17%; Figure <xref ref-type="fig" rid="F4">4C</xref>). Significant (<italic>p</italic> &#x0003C; 0.05, three-way ANOVA), temperature-driven reductions in survival were observed within the 30&#x000B0;C treatment only (Figure <xref ref-type="fig" rid="F4">4C</xref>). Elevated <italic>p</italic>CO<sub>2</sub> also had significant (<italic>p</italic> &#x0003C; 0.001, three-way ANOVA) effects on larval survival (10 days post-hatch). The mean survival of fish exposed to elevated <italic>p</italic>CO<sub>2</sub>, regardless of temperature and nutrition, was 44 &#x000B1; 3% and significantly reduced relative to the survival of fish (59 &#x000B1; 5%) exposed to ambient <italic>p</italic>CO<sub>2</sub> (Figure <xref ref-type="fig" rid="F4">4C</xref>). In addition, final lengths were significantly (<italic>p</italic> &#x0003C; 0.001, three-way ANOVA) impacted by dietary conditions (Figure <xref ref-type="fig" rid="F4">4D</xref>) with larvae provided with less food, regardless of <italic>p</italic>CO<sub>2</sub> and temperature levels, displaying a 25 &#x000B1; 0.4% reduction in total length relative to adequately-nourished counterparts (Figure <xref ref-type="fig" rid="F4">4D</xref>).</p>
<fig id="F4" position="float">
<label>Figure 4</label>
<caption><p>Temperature, food, and <italic>p</italic>CO<sub>2</sub> effect on <italic>Menidia beryllina</italic>. <bold>(A)</bold> Days to hatch. <bold>(B)</bold> Percent hatched. <bold>(C)</bold> Percent survival. <bold>(D)</bold> Length. Bars represent the mean (<italic>n</italic> &#x0003D; 4) and error bars represent the standard deviation (letters denote significant groupings).</p></caption>
<graphic xlink:href="fmars-05-00086-g0004.tif"/>
</fig>
</sec>
<sec>
<title>Interactive effects of high CO<sub>2</sub>, temperature, and food-limitation&#x02014; <italic>Cyprinodon variegatus</italic></title>
<p>In a manner similar to <italic>M. beryllina</italic>, temperature significantly affected the time to hatch (e.g., 100% hatch) of <italic>C. variegatus</italic> (<italic>p</italic> &#x0003C; 0.001, two-way ANOVA), where the hatching times of fish exposed to 30&#x000B0;C (5.8 &#x000B1; 0.9 days), regardless of <italic>p</italic>CO<sub>2</sub> level, were significantly (<italic>p</italic> &#x0003C; 0.001, Holm-Sidak) more rapid than fish reared at 16 and 23&#x000B0;C (12 &#x000B1; 4.1 and 34 &#x000B1; 5.9 days, respectively; Figure <xref ref-type="fig" rid="F5">5A</xref>). Hatching success was also significantly (<italic>p</italic> &#x0003C; 0.05, two-way ANOVA) affected by temperature. The mean percentage of eggs hatching within the warmer (30&#x000B0;C) temperature treatment was 87 &#x000B1; 7.3% and significantly (<italic>p</italic> &#x0003C; 0.001, Holm-Sidak) reduced to 77 &#x000B1; 7.5 and 59 &#x000B1; 3.5% at 23 and 16&#x000B0;C, respectively (Figure <xref ref-type="fig" rid="F5">5B</xref>). Survival (10 days post-hatch) was also significantly (<italic>p</italic> &#x0003C; 0.001, two-way ANOVA) affected by temperature, with the lower temperature treatment (16&#x000B0;C) yielding greater (<italic>p</italic> &#x0003C; 0.01, Holm-Sidak) rates of survival (94 &#x000B1; 0.2%) than those maintained in the 23 (87 &#x000B1; 0.1%) and 30&#x000B0;C treatments (38 &#x000B1; 0.1%; Figure <xref ref-type="fig" rid="F5">5C</xref>). Again, significant interactive effects (<italic>p</italic> &#x0003C; 0.05, two-way ANOVA) were observed, with temperature and elevated <italic>p</italic>CO<sub>2</sub> causing reductions in survival among larvae at high and low temperature treatments only (16 and 30&#x000B0;C; both <italic>p</italic> &#x0003C; 0.05, Holm-Sidak, Figure <xref ref-type="fig" rid="F5">5C</xref>).</p>
<fig id="F5" position="float">
<label>Figure 5</label>
<caption><p>Temperature, food, and CO<sub>2</sub> effect on <italic>Cyprinodon variegatus</italic>. <bold>(A)</bold> Days to hatch. <bold>(B)</bold> Percent hatched. <bold>(C)</bold> Percent survival. <bold>(D)</bold> Length. Bars represent the mean (<italic>n</italic> &#x0003D; 4) and error bars represent the standard deviation (letters denote significant groupings among temperature and CO<sub>2</sub> temperature and CO<sub>2</sub> treatment, &#x02014; Denote significant groupings among food treatments within 23&#x000B0;C only; all <italic>p</italic> &#x0003C; 0.05).</p></caption>
<graphic xlink:href="fmars-05-00086-g0005.tif"/>
</fig>
<p>With regards to final size, among fish reared at 23&#x000B0;C, dietary condition had significant (<italic>p</italic> &#x0003C; 0.05, two-way ANOVA) impacts on final size, whereby fed larvae were 9 &#x000B1; 0.4% larger than counterparts provided with 80% less food (Figure <xref ref-type="fig" rid="F5">5D</xref>). In addition, larvae within adequately-fed treatments and exposed to elevated <italic>p</italic>CO<sub>2</sub> were significantly (12 &#x000B1; 0.1%; <italic>p</italic> &#x0003C; 0.001, Holm-Sidak) larger than fish exposed to similar <italic>p</italic>CO<sub>2</sub> conditions, but provided with less food (Figure <xref ref-type="fig" rid="F5">5D</xref>).</p>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>Temperate estuaries are important nursery and breeding grounds for forage fish (Pikitch et al., <xref ref-type="bibr" rid="B50">2014</xref>) but are prone to fluctuations in <italic>p</italic>CO<sub>2</sub>, temperature, and phytoplankton levels during the spawning season (Nixon et al., <xref ref-type="bibr" rid="B42">2004</xref>; Baumann and Doherty, <xref ref-type="bibr" rid="B2">2013</xref>; Wallace et al., <xref ref-type="bibr" rid="B71">2014</xref>; Baumann et al., <xref ref-type="bibr" rid="B4">2015</xref>). Climate changes are predicted to intensify these variations in the near future (Doney et al., <xref ref-type="bibr" rid="B16">2012</xref>). Here, we demonstrate that changing temperatures, rising <italic>p</italic>CO<sub>2</sub> levels, and reduced food supplies can individually and synergistically act to reduce survival and development of small schooling fish native to Northwest Atlantic estuaries. These findings provide novel insight regarding the presence of multiple climate change-associated stressors within temperate estuaries and their potential impacts on associated fisheries.</p>
<p>Temperature plays a central role in early-embryonic and larval fish development (Houde, <xref ref-type="bibr" rid="B25">1989</xref>; Pepin, <xref ref-type="bibr" rid="B46">1991</xref>). Many marine fish lack the ability to regulate their internal body temperature and generally inhabit waters at or near the limits of their thermal niche (Sunday et al., <xref ref-type="bibr" rid="B69">2012</xref>), a common trend among ectothermic organisms. Therefore, temperature has direct control over basal metabolic demands and can alter nutritional requirements of fish in temperature-altered environments (Sherman et al., <xref ref-type="bibr" rid="B62">1984</xref>; Kucharczyk et al., <xref ref-type="bibr" rid="B32">1997</xref>; Bobe and Labb&#x000E9;, <xref ref-type="bibr" rid="B7">2010</xref>). Results presented here indicate that rising temperature may accelerate hatching times and improve hatching rates, outcomes that could be of potential benefit to population levels for these species existing in warmed estuaries (Lasker, <xref ref-type="bibr" rid="B33">1981</xref>; Sissenwine, <xref ref-type="bibr" rid="B64">1984</xref>). However, these benefits were short-lived as larval survival (10 days post-hatch) within the highest temperature treatments was, for <italic>M. beryllina</italic>, similar or worse than larvae reared at near-optimal temperatures and was significantly lower for <italic>C. variegatus</italic>, perhaps due to temperature-accelerated hatching occurring before complete embryonic development (Kucharczyk et al., <xref ref-type="bibr" rid="B32">1997</xref>). The rapid shift in outcomes for fish reared at elevated temperature from positive to neutral or negative for embryos and larval stages, respectively, suggests warm temperatures that accelerate development result in metabolic rates that are unsustainable for early life-stage fish. These outcomes may be may become progressively worsened throughout later-larval and early-juvenile development.</p>
<p>As ocean waters warm, fish are migrating into deeper and/or higher latitude environments (Sunday et al., <xref ref-type="bibr" rid="B69">2012</xref>) and in some cases, these new, cooler habitats may be slightly outside of their optimal thermal range (Nye et al., <xref ref-type="bibr" rid="B43">2009</xref>). Results presented here suggest such movements may affect productivity within impacted populations. During experiments with <italic>M. beryllina</italic>, fish developing at cooler temperatures exhibited lower survival and slower growth, likely a result of reduced metabolism and decreased ability to convert energy into growth (Kucharczyk et al., <xref ref-type="bibr" rid="B32">1997</xref>). In contrast to <italic>M. beryllina, C. variegatus</italic> seemed to thrive in cooler temperatures with survival and length being maximal at 16&#x000B0;C despite an extended incubation time for eggs. This outcome may be related to differences in early-life histories of the two organisms as unlike <italic>M. beryllina</italic> eggs that are deposited off-bottom on vegetation, <italic>C. variegatus</italic> deposit eggs on the seabed (Able and Fahay, <xref ref-type="bibr" rid="B1">1998</xref>) where temperatures are often cooler, perhaps making them better adapted to lower temperatures.</p>
<p>Another consequence of rising temperatures is accelerated rates of nutrient acquisition by some phytoplankton. Decreases in nutrients coupled with temperature-enhanced rates of herbivory may reduce phytoplankton biomass (Rose and Carron, <xref ref-type="bibr" rid="B59">2007</xref>). In addition, temperature-induced stability of the water column may inhibit vertical mixing of nutrients that further limit plankton inventories within surface waters (Roemmich and McGowan, <xref ref-type="bibr" rid="B58">1995</xref>; Behrenfeld et al., <xref ref-type="bibr" rid="B5">2006</xref>; Boyce et al., <xref ref-type="bibr" rid="B8">2010</xref>). Such conditions (i.e., food-limitation) have been shown to render some planktivores more vulnerable to climate change stressors such as acidification (Melzner et al., <xref ref-type="bibr" rid="B35">2011</xref>; Pansch et al., <xref ref-type="bibr" rid="B44">2014</xref>; Ramajo et al., <xref ref-type="bibr" rid="B57">2016</xref>). During this study, restricted food supplies significantly reduced survival and resulted in <italic>M. beryllina</italic> larvae that were smaller. There were also complex interactions between food supply and <italic>p</italic>CO<sub>2</sub> levels for larval <italic>M. beryllina</italic> in a manner somewhat consistent with prior studies involving early-life stage bivalves (see Melzner et al., <xref ref-type="bibr" rid="B35">2011</xref>). Specifically, the survival of <italic>M. beryllina</italic> larvae was depressed when food was limited and <italic>p</italic>CO<sub>2</sub> was increased, more so than would be predicted based upon singular exposures with either stressor. Similar patterns have been observed among tropical marine fish exposed to high <italic>p</italic>CO<sub>2</sub> environments, whereby fish within high <italic>p</italic>CO<sub>2</sub> treatments were more sensitive to starvation than fish exposed to ambient <italic>p</italic>CO<sub>2</sub> regimes (Bignami et al., <xref ref-type="bibr" rid="B6">2016</xref>). Physiologically, this is intuitive as the stress of acidification likely increased basal energy demands rendering fish more vulnerable to food-limited conditions (P&#x000F6;rtner and Farrell, <xref ref-type="bibr" rid="B55">2008</xref>). In contrast to the patterns in fish survival that were synergistically suppressed by low food and high <italic>p</italic>CO<sub>2</sub>, fish lengths that were depressed by food restriction or <italic>p</italic>CO<sub>2</sub> were not further depressed by both stressors, perhaps due to the newly-hatched fish already being at a minimal size.</p>
<p>Larval stage fish, in general (Chambers et al., <xref ref-type="bibr" rid="B10">2014</xref>; Stiasny et al., <xref ref-type="bibr" rid="B68">2016</xref>), and <italic>M. beryllina</italic> (Baumann et al., <xref ref-type="bibr" rid="B3">2012</xref>; DePasquale et al., <xref ref-type="bibr" rid="B13">2015</xref>) in particular have been shown to be sensitive to acidification, more so than their later-life-stage counterparts. During this study, increased <italic>p</italic>CO<sub>2</sub> reduced the number of <italic>M. beryllina</italic> larvae that survived to 10 days in all four experiments performed. This 10-day mark is a critical bottle-neck in the early-life cycle for <italic>M. beryllina</italic> larvae, as it is the time point at which larvae become less reliant upon maternally-derived energy stores (i.e., yolk sac), more dependent upon external sources, and are more physiologically adept to cope with environmental stressors (Mangor-Jensen, <xref ref-type="bibr" rid="B34">1987</xref>; Perry and Gilmour, <xref ref-type="bibr" rid="B48">2006</xref>; Ishimatsu et al., <xref ref-type="bibr" rid="B28">2008</xref>; Baumann et al., <xref ref-type="bibr" rid="B3">2012</xref>). <italic>M. beryllina</italic> also exhibited shorter lengths when exposed to increased <italic>p</italic>CO<sub>2</sub> levels, a consequence that could lead to enhanced mortality and a prolonged period of predation within an ecosystem setting (Ware, <xref ref-type="bibr" rid="B72">1975</xref>; Peterson and Wroblewski, <xref ref-type="bibr" rid="B49">1984</xref>; Sogard, <xref ref-type="bibr" rid="B66">1997</xref>).</p>
<p>In contrast to <italic>M. beryllina</italic>, elevated <italic>p</italic>CO<sub>2</sub> alone had no effect on <italic>C. variegatus</italic>, a finding consistent with prior studies involving this species (see DePasquale et al., <xref ref-type="bibr" rid="B13">2015</xref>) and perhaps with its preferred habitat as this species lays eggs on bottom sediments (Chitty and Able, <xref ref-type="bibr" rid="B11">2004</xref>) that can regularly exhibit elevated <italic>p</italic>CO<sub>2</sub> levels in temperate estuaries (Wallace et al., <xref ref-type="bibr" rid="B71">2014</xref>). However, larval <italic>C. variegatus</italic> became vulnerable to high <italic>p</italic>CO<sub>2</sub> when it occurred in tandem with temperatures above or below its thermal optimum (e.g., 16 or 30&#x000B0;C), conditions that yielded significantly higher rates of mortality for this species. This outcome demonstrates a key mechanism by which fisheries may be impacted by climate change. Embryos and larval fish exposed to temperatures outside of their thermal optimum may expend more energy maintaining homeostasis and thus may be less capable of coping with additional stressors (P&#x000F6;rtner and Farrell, <xref ref-type="bibr" rid="B55">2008</xref>). Similarly, acidification can cause the narrowing of an organism&#x00027;s thermal tolerance (P&#x000F6;rtner and Knust, <xref ref-type="bibr" rid="B56">2007</xref>; P&#x000F6;rtner and Farrell, <xref ref-type="bibr" rid="B55">2008</xref>). Results presented here demonstrate that even acidification-tolerant fish may be negatively impacted by high <italic>p</italic>CO<sub>2</sub> if they are concurrently exposed to elevated temperature.</p>
<p>Synergistic effects of temperature and <italic>p</italic>CO<sub>2</sub> were also observed within trials involving <italic>M. beryllina</italic>. For example, within treatments at optimal and elevated temperatures, high <italic>p</italic>CO<sub>2</sub> resulted in smaller larvae at warmer, and not optimal, temperatures. When thermal gradients were expanded, elevated <italic>p</italic>CO<sub>2</sub> caused significant reductions in survival only at low and high exposure temperatures and not at optimal temperatures. In the same experiment, hatching success was inhibited by high <italic>p</italic>CO<sub>2</sub> at low but not high temperature. This result, as well as depressed mortality at lower temperature and elevated <italic>p</italic>CO<sub>2</sub>, are not surprising given that prior research has found that the negative effects of high <italic>p</italic>CO<sub>2</sub> on <italic>M. beryllina</italic> are largely the result of embryonic rather than larval exposure to elevated <italic>p</italic>CO<sub>2</sub> (Baumann et al., <xref ref-type="bibr" rid="B3">2012</xref>). Hence, cooler temperatures that extend egg-hatching times and thus lengthen the time during which embryos experience the negative effects of acidification ultimately cause greater rates of embryonic and larval mortality. The synergistically-negative effects of elevated <italic>p</italic>CO<sub>2</sub> on larval fitness at higher temperatures reported here are in agreement with other theoretical frameworks of organismal physiology that suggest acidification depresses thermal tolerances (e.g., P&#x000F6;rtner, <xref ref-type="bibr" rid="B53">2008</xref>, <xref ref-type="bibr" rid="B54">2010</xref>). These outcomes demonstrate the importance of considering the combined effects of multiple climate change stressors on marine life, as the effects of multiple stressors can be unexpected compared to the individual effects of each stressor (Gobler et al., <xref ref-type="bibr" rid="B22">2014</xref>; Gobler and Baumann, <xref ref-type="bibr" rid="B20">2016</xref>).</p>
<p>Recent investigations suggest adaptive potential among marine forage fish exposed to climate change stressors. Larval fish originating from adults acclimated to elevated temperature produced larvae that were resistant to elevated temperatures themselves (Salinas and Munch, <xref ref-type="bibr" rid="B61">2012</xref>). Additionally, the sensitivity of larval fish challenged with high <italic>p</italic>CO<sub>2</sub> was observed to vary seasonally and with conditions present during gametogenesis (Murray et al., <xref ref-type="bibr" rid="B41">2014</xref>). Specifically, larvae spawned earlier in the season, prior to the onset of seasonal acidification (i.e., coastal acidification see, Wallace et al., <xref ref-type="bibr" rid="B71">2014</xref>; Baumann et al., <xref ref-type="bibr" rid="B4">2015</xref>), displayed greater sensitivity to low pH than larvae spawned later in the season originating from adults acclimated to seasonal decreases in pH (Murray et al., <xref ref-type="bibr" rid="B41">2014</xref>), potentially due to maternal provisioning (Snyder et al., <xref ref-type="bibr" rid="B65">2018</xref>). Altogether, these recent findings suggest adaptive potential for fish exposed transgenerationally to climate change stressors in natural environments. Findings presented here, however, suggest that the presence of multiple co-stressors may render adaptation/acclimation to adverse conditions more challenging. Future transgenerational investigations should seek to incorporate multiple, additional stressors as results presented here and elsewhere (e.g., Clark and Gobler, <xref ref-type="bibr" rid="B12">2016</xref>; Gobler et al., <xref ref-type="bibr" rid="B21">2017</xref>) suggest that the combined impacts of stressors cannot be entirely predicted based upon singular exposures to individual stressors.</p>
</sec>
<sec sec-type="conclusions" id="s5">
<title>Conclusion</title>
<p>Acidification, thermal extremes, and sub-optimal food supplies occur within temperate-latitude estuaries and are expected to become more common as climate change progresses. However, little is known regarding the interactive effects of these stressors on most marine organisms. While <italic>p</italic>CO<sub>2</sub> levels within the sea surface have increased by more than 40% since the Industrial Revolution, the consequences of these changes within marine ecosystems are not fully understood (Kroeker et al., <xref ref-type="bibr" rid="B30">2013</xref>). This study has demonstrated that elevated <italic>p</italic>CO<sub>2</sub> coupled with warming temperatures and limited food supplies can lead to significant reductions in growth and survival of small schooling fish that incubate, hatch, and remain in estuaries where these conditions are common and likely to worsen with climate change. Given that these fish species are integral components of coastal marine food webs and can influence the productivity of commercially significant fisheries, this study has important implications regarding the management of estuaries, future oceans, and coastal fisheries in climate-impacted regions. In addition, this work may have relevance to a broader range of fish, those with similar larval life histories that are outside the classification of small schooling fish (Houde, <xref ref-type="bibr" rid="B26">1997</xref>). Population levels are also likely to be affected by these individual and combined climate change stressors, since year-classes are predominately controlled by larval mortality and growth and it has been shown that even small changes in these factors cause disproportionate changes in recruitment that can be orders of magnitude in effect (Houde, <xref ref-type="bibr" rid="B26">1997</xref>).</p>
</sec>
<sec id="s6">
<title>Ethics statement</title>
<p>Ethical approval was provided by Stony Brook University&#x00027;s Institutional Animal Care and Use Committee (IACUC &#x00023;; 2010 - 1842 - R2 - 12.16.16 &#x02013; FI). Care was taken to limit the number of animals sacrificed during the course of experimentation and to prevent unnecessary pain and/or suffering. Upon the completion of experiments, animals were euthanized and preserved in a 3% (v/v) phosphate buffered formalin solution.</p>
</sec>
<sec id="s7">
<title>Author contributions</title>
<p>CG obtained funding for and designed experiments, analyzed data, and wrote the manuscript; LM designed experiments, conducted experiments, analyzed data, and wrote the manuscript; AG designed experiments, analyzed data, and wrote the manuscript; BM conducted experiments, analyzed data, and wrote the manuscript.</p>
<sec>
<title>Conflict of interest statement</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>
</body>
<back>
<ack><p>This research was supported by the New York Sea Grant (Award &#x00023; R-FBM- 38), the Laurie Landeau Foundation, the Simons Foundation, and the Chicago Community Trust.</p>
</ack>
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