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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Clim.</journal-id>
<journal-title>Frontiers in Climate</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Clim.</abbrev-journal-title>
<issn pub-type="epub">2624-9553</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fclim.2022.844831</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Climate</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Effects of Current and Future Summer Marine Heat Waves on <italic>Posidonia oceanica</italic>: Plant Origin Matters?</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Stipcich</surname> <given-names>Patrizia</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x0002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1614275/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Mar&#x000ED;n-Guirao</surname> <given-names>Lazaro</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/186730/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Pansini</surname> <given-names>Arianna</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1699394/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Pinna</surname> <given-names>Federico</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1701324/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Procaccini</surname> <given-names>Gabriele</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/75578/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Pusceddu</surname> <given-names>Antonio</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1134165/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Soru</surname> <given-names>Santina</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1701315/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Ceccherelli</surname> <given-names>Giulia</given-names></name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/892681/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Dipartimento di Architettura, Design e Urbanistica, Universit&#x000E0; degli Studi di Sassari</institution>, <addr-line>Sassari</addr-line>, <country>Italy</country></aff>
<aff id="aff2"><sup>2</sup><institution>Seagrass Ecology Group, Oceanographic Center of Murcia, Spanish Institute of Oceanography</institution>, <addr-line>San Pedro del Pinatar</addr-line>, <country>Spain</country></aff>
<aff id="aff3"><sup>3</sup><institution>Department of Integrative Marine Ecology, Stazione Zoologica Anton Dohrn</institution>, <addr-line>Naples</addr-line>, <country>Italy</country></aff>
<aff id="aff4"><sup>4</sup><institution>Dipartimento di Scienze della Vita e dell&#x00027;Ambiente, Universit&#x000E0; degli Studi di Cagliari</institution>, <addr-line>Cagliari</addr-line>, <country>Italy</country></aff>
<aff id="aff5"><sup>5</sup><institution>Dipartimento di Chimica e Farmacia, Universit&#x000E0; degli Studi di Sassari</institution>, <addr-line>Sassari</addr-line>, <country>Italy</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Thomas Wernberg, University of Western Australia, Australia</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Jorge Terrados, Spanish National Research Council (CSIC), Spain; Matthew William Fraser, University of Western Australia, Australia</p></fn>
<corresp id="c001">&#x0002A;Correspondence: Patrizia Stipcich <email>patriziastipcich&#x00040;libero.it</email></corresp>
<fn fn-type="other" id="fn001"><p>This article was submitted to Climate, Ecology and People, a section of the journal Frontiers in Climate</p></fn></author-notes>
<pub-date pub-type="epub">
<day>23</day>
<month>03</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>4</volume>
<elocation-id>844831</elocation-id>
<history>
<date date-type="received">
<day>07</day>
<month>01</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>21</day>
<month>02</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2022 Stipcich, Mar&#x000ED;n-Guirao, Pansini, Pinna, Procaccini, Pusceddu, Soru and Ceccherelli.</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Stipcich, Mar&#x000ED;n-Guirao, Pansini, Pinna, Procaccini, Pusceddu, Soru and Ceccherelli</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>Marine heat waves (MHWs), prolonged discrete anomalously warm water events, have been increasing significantly in duration, intensity and frequency all over the world, and have been associated with a variety of impacts including alteration of ecosystem structure and function. This study assessed the effects of current and future MHWs on the Mediterranean seagrass <italic>Posidonia oceanica</italic> performance, also testing the importance of the thermal environment where the plant lives. The effects of current MHWs were studied through a mensurative experiment in a cold and in a warm site (West and North-West Sardinia, Italy, respectively). Future MHWs effects were tested through a manipulative experiment using <italic>P. oceanica</italic> shoots collected from the cold and warm sites and transplanted in a common garden in front of a power plant (North-West Sardinia): here plants were exposed to heat longer in duration and stronger in intensity than the natural MHWs of the last 20 years, resembling the future scenario. Morphological (total &#x00023; of leaves, maximum leaf length, and percentage of total necrotic leaf length per shoot) and biochemical variables (leaf proteins, carbohydrates, and lipids) were considered. Plants had similar sublethal responses in both the experiments for most of the variables, revealing that current and future MHWs had similar effect types, but different in magnitude depending on the intensity of the waves: in general, the number of leaves, the maximum leaf length and lipid content decreased, while the leaf necrosis and carbohydrates increased. However, also the origin of the plants affected the results, corroborating the hypothesis that the thermal context the plants live affects their tolerance to the heat. Overall, this study provided evidence about the importance of biochemical variations, such as carbohydrate and lipid levels, as potentially good indicators of seagrass heat stress.</p></abstract>
<kwd-group>
<kwd>climate change</kwd>
<kwd>leaf biochemistry</kwd>
<kwd>leaf necrosis</kwd>
<kwd>marine heat waves</kwd>
<kwd>ocean warming</kwd>
<kwd><italic>Posidonia oceanica</italic></kwd>
<kwd>restoration</kwd>
<kwd>seagrasses</kwd>
</kwd-group>
<counts>
<fig-count count="8"/>
<table-count count="5"/>
<equation-count count="0"/>
<ref-count count="89"/>
<page-count count="16"/>
<word-count count="10811"/>
</counts>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>As a consequence of the global warming, extreme climatic events (ECEs) have increased in frequency (Coumou and Rahmstorf, <xref ref-type="bibr" rid="B13">2012</xref>). Marine heat waves (MHWs), prolonged discrete anomalously warm water events, occur when sea surface temperature (SST) exceeds for at least 5 days a climatological threshold (Hobday et al., <xref ref-type="bibr" rid="B28">2016</xref>). Analyses of different sources of SST data have revealed a significant increase in MHWs duration, intensity and frequency (Oliver et al., <xref ref-type="bibr" rid="B56">2018</xref>; Darmaraki et al., <xref ref-type="bibr" rid="B14">2019a</xref>). MHWs have had different implications for marine ecosystems, as they have been associated with a variety of impacts, including alteration of ecosystem structure and function (e.g., Wernberg et al., <xref ref-type="bibr" rid="B87">2016</xref>), shifts in species ranges (e.g., Wernberg et al., <xref ref-type="bibr" rid="B88">2011</xref>), mass mortalities (e.g., Garrabou et al., <xref ref-type="bibr" rid="B21">2009</xref>; Fordyce et al., <xref ref-type="bibr" rid="B20">2019</xref>), local extinctions and economic impacts on seafood industries through declines in important fishery species and impacts on aquaculture (Madin et al., <xref ref-type="bibr" rid="B39">2012</xref>; Hughes et al., <xref ref-type="bibr" rid="B31">2017</xref>; Hyndes et al., <xref ref-type="bibr" rid="B32">2017</xref>).</p>
<p>Seagrass meadows are among the planet&#x00027;s coastal ecosystems most effective for providing key ecological services including nursery grounds, nutrient cycling, sediment stabilization, trophic transfer to adjacent habitats and toward higher trophic levels (Hemminga and Duarte, <xref ref-type="bibr" rid="B26">2000</xref>; Larkum et al., <xref ref-type="bibr" rid="B36">2006</xref>) and coastal protection from erosion (Fonseca and Cahalan, <xref ref-type="bibr" rid="B18">1992</xref>; Fonseca and Koehl, <xref ref-type="bibr" rid="B19">2006</xref>). Moreover, seagrasses are highly efficient in sequestering carbon (C): together with saltmarshes and mangroves, they are responsible for capturing up to 70% of the organic C in the marine realm (Nelleman et al., <xref ref-type="bibr" rid="B50">2009</xref>), making them one of the most effective Blue C sinks on the planet (Serrano et al., <xref ref-type="bibr" rid="B76">2020</xref>). Stressors, such as sediments and nutrients inputs from terrestrial runoff, physical disturbance (e.g., trawling, anchoring), invasive species, diseases, aquaculture, overgrazing, algal blooms and global warming, have been shown to cause seagrass declines at scales ranging from square meters to hundreds of square kilometers (e.g., Munkes, <xref ref-type="bibr" rid="B49">2005</xref>; Orth et al., <xref ref-type="bibr" rid="B59">2006</xref>; Williams, <xref ref-type="bibr" rid="B89">2007</xref>; Holmer et al., <xref ref-type="bibr" rid="B30">2008</xref>; Waycott et al., <xref ref-type="bibr" rid="B86">2009</xref>; Bockelmann et al., <xref ref-type="bibr" rid="B9">2013</xref>; Giakoumi et al., <xref ref-type="bibr" rid="B23">2015</xref>).</p>
<p>At the global scale, seagrasses are also influenced by climate change (CC) and understanding their response to the occurrence of ECEs, such as MHWs, represents a timely objective to determine the fate of the related ecosystems functions and services they provide. Indeed, relevant shoot mortalities have been correlated to MHWs occurrence (Marb&#x000E0; and Duarte, <xref ref-type="bibr" rid="B40">2010</xref>; Shields et al., <xref ref-type="bibr" rid="B78">2019</xref>; Smale et al., <xref ref-type="bibr" rid="B79">2019</xref>; Strydom et al., <xref ref-type="bibr" rid="B81">2020</xref>) and loss of the biodiversity linked to the seagrass mortality has been also documented (Nowicki et al., <xref ref-type="bibr" rid="B54">2019</xref>). Responses to heat events of several seagrass species have been investigated at several biological levels (see Nguyen et al., <xref ref-type="bibr" rid="B52">2021</xref> for a review) and manipulative experiments have provided evidence that MHWs affect growth rate (i.e., Saha et al., <xref ref-type="bibr" rid="B72">2020</xref>), promote leaf necrosis (i.e., Ontoria et al., <xref ref-type="bibr" rid="B58">2019</xref>), reduce the photosynthetic capacity (Mar&#x000ED;n-Guirao et al., <xref ref-type="bibr" rid="B45">2016</xref>), and alter fatty acid production by decreasing the proportion of polyunsaturated fatty acids (PUFA) and increasing the percentage of saturated fatty acids (SFA) (i.e., Beca-Carretero et al., <xref ref-type="bibr" rid="B7">2018</xref>, <xref ref-type="bibr" rid="B6">2020</xref>).</p>
<p><italic>Posidonia oceanica</italic> (L.) Delile is a slow-growing seagrass, endemic to the Mediterranean, that is experiencing a widespread decline throughout the basin (Telesca et al., <xref ref-type="bibr" rid="B83">2015</xref>). The regression of <italic>P. oceanica</italic> beds and the consequent expansion of alternative habitats (e.g., algal turfs or dead seagrass rhizomes) is particularly common in highly urbanized coastal areas, mostly due to eutrophication and increased sedimentation rates (Montefalcone, <xref ref-type="bibr" rid="B48">2009</xref>; Tamburello et al., <xref ref-type="bibr" rid="B82">2012</xref>). However, how meadows are responding to CC pressures is currently under investigation. Populations living in locally deteriorated conditions, such as high nutrient input, can be more fragile to the effects of MHWs (Pazzaglia et al., <xref ref-type="bibr" rid="B64">2020</xref>). In general, phenological response of seagrasses to environmental changes is intrinsically related to genotype/population plasticity (i.e., the amplitude of the individual reaction norm), an evolutionary component which is affected by many external and internal interacting factors, involving local adaptation/acclimation and genetic/epigenetic diversity (Pazzaglia et al., <xref ref-type="bibr" rid="B63">2021a</xref>). The temperature change projected in the Mediterranean Sea ranges between 0.81 and 3.71&#x000B0;C in the upper layer (0&#x02013;150 m) by the end of the 21st century, depending on the greenhouse gas emissions scenario (Soto-Navarro et al., <xref ref-type="bibr" rid="B80">2020</xref>). The rising SST has accelerated MHWs occurrence and effects on Mediterranean benthic communities have already been described (Garrabou et al., <xref ref-type="bibr" rid="B21">2009</xref>; Marb&#x000E0; and Duarte, <xref ref-type="bibr" rid="B40">2010</xref>; Rubio-Portillo et al., <xref ref-type="bibr" rid="B69">2016</xref>), even though their effects on subtidal water conditions are anything but obvious: SST is undoubtedly a useful proxy for very shallow water temperature, but using loggers remains recommended to have more accurate and precise temperature estimates as deep water temperature can be scarcely predicted from SST (Ceccherelli et al., <xref ref-type="bibr" rid="B12">2020</xref>). The most severe impacts of MHWs on benthic communities are expected in summer when the intensity of these extreme events can easily exceed the maximum tolerance limit of the species (e.g., those in 2003, 2012, 2015, Darmaraki et al., <xref ref-type="bibr" rid="B15">2019b</xref>). However, contrasting results have been obtained on <italic>P. oceanica</italic> populations response to MHWs in relation to their distribution. A few mesocosm experiments have fostered the importance of local adaptations, highlighting the different levels of thermotolerance, defined as the ability to survive a normally lethal heat stress (Norris and Hightower, <xref ref-type="bibr" rid="B53">2000</xref>), of shallow vs. deep <italic>P. oceanica</italic> plants (Mar&#x000ED;n-Guirao et al., <xref ref-type="bibr" rid="B45">2016</xref>, <xref ref-type="bibr" rid="B43">2017</xref>). The same has been shown for plants living in different thermal environments along latitudinal gradients: shallow and low-latitude plants better tolerate high temperature exposure (4&#x000B0;C above the summer average), in respect to shallow and high-latitude plants (physiological and molecular traits, Mar&#x000ED;n-Guirao et al., <xref ref-type="bibr" rid="B45">2016</xref>, <xref ref-type="bibr" rid="B44">2019</xref>). Data on fatty acid composition have corroborated these results providing evidence that populations living at warmest temperatures were more thermo-tolerant and exhibited a greater capacity to cope with heat events by adjusting their lipid composition (PUFA/SFA) faster (Beca-Carretero et al., <xref ref-type="bibr" rid="B7">2018</xref>). A recent reciprocal translocation experiment does not support the higher vulnerability of cold-adapted populations to sea-water temperature increase (Bennett et al., <xref ref-type="bibr" rid="B8">2022</xref>), highlighting the importance of further studies in this direction. In fact, despite these results, the resistance of <italic>P. oceanica</italic> to summer MHWs is still far to be fully understood, and more insights on their biochemical responses to MHWs are needed to address the potential consequences of an increasing occurrence of ECEs on seagrass resilience to climate change.</p>
<p>To provide further insights, we investigated the effects of (i) natural present-day summer MHWs and (ii) simulated longer-lasting and more intense summer MHWs on the morphology and biochemistry of <italic>P. oceanica</italic> plants with a different thermal history. To this end, we have conducted two parallel field experiments: (i) a mensurative experiment, where the effects of current MHWs were studied on plants at two sites with different thermal regimes, and (ii) a manipulative common garden experiment in the field, where the effects of simulated future MHWs were tested on transplanted plants from the two sites. In the mensurative study, plant responses were evaluated after one and then two MHWs in a row, to evaluate if effects could be cumulative. In the manipulative experiment the effect of acute MHWs, as those expected to occur in the coming decades, was assessed on transplanted plants to explore how the species will respond to future MHWs and whether the responses differ depending on the thermal origin of plants.</p>
<p>The aim of our experiments is to define early warning morphological and biochemical responses of <italic>P. oceanica</italic> to short-term intense heat events associated with MHWs. The results contribute to assess the morphological and biochemical changes involved in the <italic>P. oceanica</italic> performance to resist to summer MHWs so to predict the vulnerability and the adaptability of this species to heat waves that will affect the seagrass meadows over the coming decades.</p>
</sec>
<sec sec-type="materials and methods" id="s2">
<title>Materials and Methods</title>
<sec>
<title>Study Sites</title>
<p>This study was conducted during summer 2020 in North-Western Sardinia (Italy, Western Mediterranean, <xref ref-type="fig" rid="F1">Figure 1</xref>). In this area two sites were selected: Porto Conte (in the Alghero Gulf) and Le Saline (in the Asinara Gulf), West and North-West Sardinia, respectively. Although they are about 30 km apart, they are characterized by putatively different thermal regimes because the west coast (Porto Conte) receives relatively colder Atlantic waters directly through the Western Mid-Mediterranean Current and it is also influenced by upwelling currents (Olita et al., <xref ref-type="bibr" rid="B55">2013</xref>). During the whole study period (July 8th&#x02014;August 28th 2020), two temperature loggers (HOBO Pendant Temp/Light MX2202) were fixed within the representative seagrass meadow of each site and Le Saline (hereafter warm site) summer mean temperature was 3.48&#x000B0;C warmer than that in Porto Conte (hereafter the cold site).</p>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p>Study area: North-West Sardinia (Italy). The red spot represents the warm site (Le Saline); the blue spot the cold site (Porto Conte) and the green spot the common garden (Fiume Santo).</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fclim-04-844831-g0001.tif"/>
</fig>
<p>To characterize the thermal regime of each site, summer (June 21<sup>st</sup> - Sept 23<sup>rd</sup>) SST daily values for the 2000&#x02013;2019 period were obtained by the Group for High Resolution Sea Surface Temperature (GHRSST), using the 1 km resolution SST (G1SST) dataset produced by the NASA JPL (<ext-link ext-link-type="uri" xlink:href="https://coastwatch.pfeg.noaa.gov/erddap/griddap/jplMURSST41.html">https://coastwatch.pfeg.noaa.gov/erddap/griddap/jplMURSST41.html</ext-link>), and used as a proxy of the 3 m subtidal temperature. The occurrence of MHWs in the last 20 years at both sites, together with their duration and intensity were calculated based on the 90<sup>th</sup> percentile of the climatology according to Hobday et al. (<xref ref-type="bibr" rid="B29">2018</xref>) metrics, using the rerrdapp (Scott Chamberlain, <xref ref-type="bibr" rid="B75">2021</xref>) and heatwaveR packages (Schlegel and Smit, <xref ref-type="bibr" rid="B74">2018</xref>) in R. Based on these data, MHW intensities and duration to simulate in the common garden were set to resemble possible future scenarios according to Hobday et al. (<xref ref-type="bibr" rid="B28">2016</xref>).</p>
</sec>
<sec>
<title>Mensurative Experiment (Current MHWs)</title>
<p>At each site five <italic>P. oceanica</italic> plagiotropic shoots, each bearing an apical shoot and at least five vertical distinguishable shoots, were collected from a meadow at 3 m of depth on July 8<sup>th</sup>, August 7<sup>th</sup> and 28<sup>th</sup> 2020 (hereafter T0, T2, and T3). Only at the end of the summer, the occurred MHWs were identified following the above procedure (using satellite SST) and, <italic>a posteriori</italic> from plant sampling, temperature anomalies were related to the plant performance.</p>
</sec>
<sec>
<title>Manipulative Experiment (Future MHWs)</title>
<p>For this experiment a common garden was created at Fiume Santo site (Asinara Gulf, <xref ref-type="fig" rid="F1">Figure 1</xref>), in a 10,000 m<sup>2</sup> area in front of a thermoelectric plant where two coal-fired units operate, with a nominal power of 320 MW, each. To cool up the whole thermoelectric plant system, sea water is continuously taken 1 km faraway offshore and released back close to the shoreline (12&#x02013;24 m<sup>3</sup>/sec) about 6&#x02013;8&#x000B0;C warmer (power plant water, PPW). This creates a marked seawater temperature gradient in the vicinity of the discharge point with a temporal pattern that follows seasonal changes and weather conditions.</p>
<p>Three areas within the thermal gradient generated by the PPW were identified to expose <italic>P. oceanica</italic> plants to three temperature intensity MHWs: the &#x0201C;Control Temperature&#x0201D; area (CT, unaffected by the PPW), the &#x0201C;Medium Temperature&#x0201D; area (MT, with PPW largely mixed with the natural water) and the &#x0201C;High Temperature&#x0201D; area (HT, with PPW minimally mixed with the natural water). The common garden consisted of three devices (each a 0.8 &#x000D7; 0.8 m metal grid) edged by floating material and fixed at the sea bottom using four concrete blocks to which the corners of each grid were attached by means of 4&#x02013;5 m long wire cables. As the PPW stratifies on the top of the water column, this system allowed the device deployment at 1 m of depth where the PPW was intercepted at the HT and MT areas (<xref ref-type="supplementary-material" rid="SM1">Supplementary Figure 1</xref>). <italic>P. oceanica</italic> shoots were attached to grids by cable ties and they were shaded using neutral shading nets put over the structure to reduce the excess of light (ca. 20%) and reproduce the natural light intensity at the depth of the donor meadows (see below and <xref ref-type="supplementary-material" rid="SM1">Supplementary Figure 1</xref>). Nets were periodically cleaned to maintain constant shading throughout the experiment which was necessary to reduce potential impacts due to higher irradiance levels (Serrano et al., <xref ref-type="bibr" rid="B77">2011</xref>; Dattolo et al., <xref ref-type="bibr" rid="B16">2014</xref>). Also, fixing the plant cuttings to a suspended grid wouldn&#x00027;t interfere with their performance because <italic>P. oceanica</italic> shoots take up most of the nutrients from the water rather than through the roots (Ott, <xref ref-type="bibr" rid="B60">1980</xref>).</p>
<p>To assess the potential significance of plant origin to heat tolerance, 15 <italic>P. oceanica</italic> plagiotropic cuttings, each bearing an apical shoot and at least five distinguishable vertical shoots (same as the mensurative experiment), from both the cold and the warm site were collected by SCUBA divers at 3 m deep on July 8<sup>th</sup> and immediately transported to the common garden. <italic>P. oceanica</italic> cuttings were fixed to the three grids, so that each grid had overall 10 cuttings (5 from the cold and 5 from the warm donor site) which were installed in the CT area during 14 days for plant acclimation. Then, the three devices were fixed at the HT, MT and CT area after a gradual 3-day acclimation obtained by manually translocating the grids through the site areas. Therefore, from July 24<sup>th</sup> (T1) to August 3<sup>rd</sup> plants were exposed to three different temperature intensities, depending on the area. To make the plants recover from the heat event, in the following 4 days (until August 7<sup>th</sup>, T2) the HT and the MT grids were gradually moved back to the CT area, where all remained for three more weeks until August 28<sup>th</sup> (T3). Temperature loggers (HOBO Pendant Temp/Light MX2202) were fixed at each grid for the whole experiment. The threshold (90<sup>th</sup> percentile) and the MHW categories were defined based on the SST climatology of the common garden site; to define the intensities of the simulated MHWs, data from the temperature loggers were used.</p>
</sec>
<sec>
<title>Data Collection</title>
<p>For both experiments on July 8<sup>th</sup>, August 7<sup>th</sup> and 28<sup>th</sup> (corresponding to T0, T2 and T3) five <italic>P. oceanica</italic> orthotropic shoots per treatment combination (each taken from a plagiotropic shoot) were sampled and the material collected was processed immediately for the morphological analysis and stored frozen (&#x02212;20&#x000B0;C) for the subsequent biochemical analyses.</p>
<p>In the laboratory, leaves were removed from each shoot and, for both experiments the same variables were considered at all sampling times: the total number of leaves per shoot, the maximum leaf length per shoot (cm), and the total necrotic leaf length per shoot (% over the total leaf length) for the morphological analyses (on the fresh material), and the protein, carbohydrate and lipid contents of leaves for the biochemical analyses. All the morphological variables that could potentially change with varying environmental conditions were considered. Although changes in specific biochemical constituents (i.e., fatty acids) have been described as reliable indicators of seagrass response to temperature changes (Beca-Carretero et al., <xref ref-type="bibr" rid="B7">2018</xref>, <xref ref-type="bibr" rid="B6">2020</xref>), the choice of considering protein, carbohydrate, and lipid total contents as proxies of <italic>P. oceanica</italic> adaptation to thermal stress (heat waves) was based on recent results obtained in Mediterranean seagrasses (Leiva-Due&#x000F1;as et al., <xref ref-type="bibr" rid="B37">2021</xref>) and supported by a good cost/benefit ratio.</p>
<p>Before biochemical analyses, leaves of <italic>P. oceanica</italic> were washed in distilled water to remove sand and salts, and gently scraped with a clean scalpel to remove epiphytes and epibionts. Total protein and lipid contents were determined on aliquots (ca. 50&#x02013;100 mg wet weight) of unbroken and healthy <italic>P. oceanica</italic> leaves, whereas carbohydrates were determined on water extracts of leaves. The analysis of carbohydrates was conducted on water extracts rather than intact fragments of leaves to avoid the detection of structural (dominant) carbohydrates composing the leaves.</p>
<p>More specifically, protein content was determined on 50 mg of intact leaves, cut in small pieces with scissors and grounded to a fine powder using a mortar and a pestle, according to Hatree (<xref ref-type="bibr" rid="B24">1972</xref>), as modified by Lowry et al. (<xref ref-type="bibr" rid="B38">1951</xref>) and Rice (<xref ref-type="bibr" rid="B68">1982</xref>) to compensate for phenol interference, and expressed as bovine serum albumin (BSA) equivalents (Pusceddu et al., <xref ref-type="bibr" rid="B65">2009</xref>).</p>
<p>Water soluble carbohydrates were analyzed after extraction from 100 mg of leaves cut in small pieces with scissors added with 5 mL of reagent-grade water. The mixture was grounded and homogenized using a mortar and a pestle until a green surnatant was obtained. The mixture was then centrifuged (Eppendorf 5804, Eppendorf AG, Germany) at 800 g for 15 min and 1 mL of the supernatant was used for the analysis. Carbohydrate concentrations, expressed in glucose equivalents, were determined according to Gerchakov and Hatcher (<xref ref-type="bibr" rid="B22">1972</xref>) based on the phenol and concentrated sulfuric acid reaction with saccharides (Pusceddu et al., <xref ref-type="bibr" rid="B65">2009</xref>).</p>
<p>Total lipid contents were determined on 100 mg of leaves cut in small pieces with scissors. Lipid extraction was performed according to Folch et al. (<xref ref-type="bibr" rid="B17">1957</xref>) by adding a chloroform-methanol mixture 2:1 <italic>v/v</italic>. Samples were added with 625 &#x003BC;L of chloroform and 1.25 mL of methanol and vortexed 1 min every 15 min for 1 h at room temperature. Successively, 1.9 mL of chloroform and 450 &#x003BC;L of a 0.2 M KCl solution were added to the mixture. After vortex (1 min) at room temperature samples were centrifuged for 10 min at 4,000 rpm. The supernatant was eliminated and the remaining fraction, after evaporation in a dry hot bath at 80 to 100&#x000B0;C for 20 min, was quantified according to the sulfuric acid carbonization procedure (Marsh and Weinstein, <xref ref-type="bibr" rid="B46">1966</xref>). Total lipids were expressed in tripalmitin equivalents (Pusceddu et al., <xref ref-type="bibr" rid="B65">2009</xref>).</p>
</sec>
<sec>
<title>Data Analysis</title>
<p><italic>A priori</italic>, a non-metric multidimensional scaling (nMDS), based on the Euclidean distance, was used to visualize the overall changes in <italic>P. oceanica</italic> plants due to the current and future MHWs. Then, to identify the variables with the highest contribution to the dissimilarities, a SIMPER test (90% of cut off) was run.</p>
<p>In the mensurative experiment permutational analyses of variance (PERMANOVAs, Anderson, <xref ref-type="bibr" rid="B3">2001</xref>) were run using a similarity matrix based on the Euclidean distance of untransformed data, where the factor Time (T2 and T3, fixed) was orthogonal to the Site (cold and warm, fixed). In the manipulative experiment, PERMANOVAs were run separately on each time (T2 and T3) considering Origin (cold and warm donor site) and Temperature (HT, MT, CT) fixed and orthogonal factors. For both experiments the response variables were calculated as the change in percentage respect to T0 in morphological (total &#x00023; of leaves/shoot, maximum leaf length/shoot, and the total necrotic leaf length/shoot) and biochemical (proteins, carbohydrates, and lipids) traits. Pair wise tests were used <italic>a posteriori</italic> in both the experiments to identify the alternative hypotheses of significant treatments. All statistical analyses were carried out through the software PRIMER 6&#x0002B;, using the included routine package PERMANOVA (Anderson, <xref ref-type="bibr" rid="B3">2001</xref>).</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec>
<title>Mensurative Experiment (Current MHWs)</title>
<p>The historical analysis revealed that in the study area twenty and twenty-two summer MHWs occurred since 2000 in the cold and the warm site, respectively (<xref ref-type="fig" rid="F2">Figure 2</xref>), with an evident increase occurrence pattern over time at both sites (<xref ref-type="table" rid="T1">Table 1</xref>). Because of the different climatology (<xref ref-type="fig" rid="F3">Figure 3</xref>), at the warm site summer MHWs maximum temperature was in mean 0.20&#x000B0;C higher than at the cold site (<xref ref-type="table" rid="T1">Table 1</xref>), although their intensity over each climatology threshold (Hobday et al., <xref ref-type="bibr" rid="B28">2016</xref>, <xref ref-type="bibr" rid="B29">2018</xref>) never exceeded 3&#x000B0;C at both sites (<xref ref-type="fig" rid="F2">Figure 2</xref>). Since 2000 the duration of the summer MHWs varied from 5 to 59 days at the cold site and from 5 to 36 days at the warm site (<xref ref-type="fig" rid="F2">Figure 2</xref> and <xref ref-type="table" rid="T1">Table 1</xref>).</p>
<fig id="F2" position="float">
<label>Figure 2</label>
<caption><p>Intensity and duration of the summer MHWs at the warm (left) and cold (right) site: in blue the 2000&#x02013;2019 MHWs, in black the 2020 (current) MHWs and in red the common garden waves (future MHWs).</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fclim-04-844831-g0002.tif"/>
</fig>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Frequency, duration and intensity (Hobday et al., <xref ref-type="bibr" rid="B28">2016</xref>) of the past summer MHWs at the two sites in the 2000&#x02013;2019 period.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th/>
<th valign="top" align="center" colspan="3" style="border-bottom: thin solid #000000;"><bold>Warm site</bold></th>
<th valign="top" align="center" colspan="3" style="border-bottom: thin solid #000000;"><bold>Cold site</bold></th>
</tr>
<tr>
<th valign="top" align="left"><bold>Year</bold></th>
<th valign="top" align="center"><bold><xref ref-type="table-fn" rid="TN1">&#x00023;</xref> MHWs</bold></th>
<th valign="top" align="center"><bold>Mean duration (days)</bold></th>
<th valign="top" align="center"><bold>Maximum intensity (<bold>&#x000B0;</bold>C)</bold></th>
<th valign="top" align="center"><bold><xref ref-type="table-fn" rid="TN1">&#x00023;</xref> MHWs</bold></th>
<th valign="top" align="center"><bold>Mean duration (days)</bold></th>
<th valign="top" align="center"><bold>Maximum intensity (<bold>&#x000B0;</bold>C)</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">2000</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">-</td>
</tr>
<tr>
<td valign="top" align="left">2001</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">-</td>
</tr>
<tr>
<td valign="top" align="left">2002</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center">24.92</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">-</td>
</tr>
<tr>
<td valign="top" align="left">2003</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">20</td>
<td valign="top" align="center">27.94</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">36.5</td>
<td valign="top" align="center">27.74</td>
</tr>
<tr>
<td valign="top" align="left">2004</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">-</td>
</tr>
<tr>
<td valign="top" align="left">2005</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">11</td>
<td valign="top" align="center">25.35</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">25.00</td>
</tr>
<tr>
<td valign="top" align="left">2006</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">23</td>
<td valign="top" align="center">27.95</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">24</td>
<td valign="top" align="center">27.84</td>
</tr>
<tr>
<td valign="top" align="left">2007</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">-</td>
</tr>
<tr>
<td valign="top" align="left">2008</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">-</td>
</tr>
<tr>
<td valign="top" align="left">2009</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">13</td>
<td valign="top" align="center">26.18</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">18</td>
<td valign="top" align="center">26.56</td>
</tr>
<tr>
<td valign="top" align="left">2010</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">26.54</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">26.12</td>
</tr>
<tr>
<td valign="top" align="left">2011</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">25.20</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">25.29</td>
</tr>
<tr>
<td valign="top" align="left">2012</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">19</td>
<td valign="top" align="center">28.30</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">11</td>
<td valign="top" align="center">28.05</td>
</tr>
<tr>
<td valign="top" align="left">2013</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">-</td>
</tr>
<tr>
<td valign="top" align="left">2014</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">-</td>
</tr>
<tr>
<td valign="top" align="left">2015</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">27.43</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">8.5</td>
<td valign="top" align="center">26.69</td>
</tr>
<tr>
<td valign="top" align="left">2016</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center">25.29</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center">24.24</td>
</tr>
<tr>
<td valign="top" align="left">2017</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">9.5</td>
<td valign="top" align="center">26.31</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">24.88</td>
</tr>
<tr>
<td valign="top" align="left">2018</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">17.5</td>
<td valign="top" align="center">28.42</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">24</td>
<td valign="top" align="center">28.11</td>
</tr>
<tr>
<td valign="top" align="left">2019</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">10.7</td>
<td valign="top" align="center">26.83</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">10.8</td>
<td valign="top" align="center">27.04</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TN1">
<label>&#x00023;</label><p><italic>number</italic>.</p></fn>
</table-wrap-foot>
</table-wrap>
<fig id="F3" position="float">
<label>Figure 3</label>
<caption><p>Current MHWs. Summer 2020 MHWs at the warm and cold site. Red bars represent sampling times (T0, T2, and T3). Climatology was calculated based on the last 30 years of SST; Threshold represents the 90<sup>th</sup> percentile of the climatology; 2x, 3x, 4x thresholds to define MHW categories (Hobday et al., <xref ref-type="bibr" rid="B28">2016</xref>).</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fclim-04-844831-g0003.tif"/>
</fig>
<p>During the mensurative experiment two MHWs naturally occurred at both sites, each of them with an intensity and duration well within the variability of the waves identified at these same sites over the last 20 years. Particularly, their complete duration was 5 and 9 days (13 days between the two events) and 8 and 41 days (9 days in between), at the cold site and the warm site, respectively (<xref ref-type="fig" rid="F3">Figure 3</xref>). In terms of peak temperature, waves reached 27.34&#x000B0;C and then 27.13&#x000B0;C at the warm site, and 27.19&#x000B0;C and 27.04&#x000B0;C at the cold site (<xref ref-type="fig" rid="F3">Figure 3</xref>). For both sites T0 was before the first summer MHW, T2 was just after the first one and T3 after the second MHW (<xref ref-type="fig" rid="F3">Figure 3</xref>).</p>
<p>Overall, large dissimilarities were found between plants of the two sites, with the differences increasing through time especially in the cold site (nMDS, <xref ref-type="fig" rid="F4">Figure 4</xref>). The traits which contributed the most to the plant changes were in general the total necrotic leaf length and all the biochemical ones (SIMPER test, <xref ref-type="table" rid="T2">Table 2</xref>).</p>
<fig id="F4" position="float">
<label>Figure 4</label>
<caption><p>Current MHWs. nMDS of the interaction between Time and Site: red, warm site; blue, cold site; triangles, T2; squares, T3.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fclim-04-844831-g0004.tif"/>
</fig>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>Current MHWs.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left" colspan="2"><bold>Time x Site</bold></th>
<th valign="top" align="left"><bold>Contribution of variables</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">T2</td>
<td valign="top" align="left">W vs. C</td>
<td valign="top" align="left">Total necrotic leaf length (92.86)</td>
</tr>
<tr>
<td valign="top" align="left">T3</td>
<td valign="top" align="left">W vs. C</td>
<td valign="top" align="left">Total necrotic leaf length (72.21); carbohydrates (22.40)</td>
</tr>
<tr>
<td valign="top" align="left">W</td>
<td valign="top" align="left">T2 vs. T3</td>
<td valign="top" align="left">Lipids (33.06); carbohydrates (29.17); total necrotic leaf length (23.94); total &#x00023; of leaves (5.09)</td>
</tr>
<tr>
<td valign="top" align="left">C</td>
<td valign="top" align="left">T2 vs. T3</td>
<td valign="top" align="left">Carbohydrates (81.66); proteins (7.78); lipids (4.77)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>SIMPER test results on the interaction between time (T2 and T3) and Site (W, warm and C, cold). In parenthesis the percentage of the contribution to the dissimilarities (90% cut off)</italic>.</p>
</table-wrap-foot>
</table-wrap>
<p><italic>P. oceanica</italic> morphological changes were found after summer 2020 MHWs in both sites (i.e., T3; <xref ref-type="fig" rid="F5">Figure 5</xref> and <xref ref-type="table" rid="T3">Table 3</xref>). Particularly, opposite effects across time were found at the warm site in the maximum leaf length and the length of necrotic tissue, as they decreased and increased, respectively, although any cumulative effects due to the MHWs over time were evidenced. At the cold site the reverse was found. Furthermore, no significant change was observed in the total number of leaves per shoot in both sites (<xref ref-type="fig" rid="F5">Figure 5</xref> and <xref ref-type="table" rid="T3">Table 3</xref>).</p>
<fig id="F5" position="float">
<label>Figure 5</label>
<caption><p>Current MHWs. Mean change (%) in the morphological (total of leaves, max leaf length, and total necrotic leaf length) and biochemical variables (proteins, carbohydrates, lipids) at T2 and T3. Bar color corresponds to the site: red, warm site and blue, cold site.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fclim-04-844831-g0005.tif"/>
</fig>
<table-wrap position="float" id="T3">
<label>Table 3</label>
<caption><p>Current MHWs.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Current MHWs</bold></th>
<th valign="top" align="center"><bold>Time</bold></th>
<th valign="top" align="center"><bold>Site</bold></th>
<th valign="top" align="center"><bold>Time &#x000D7; Site</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left"><bold>Morphology</bold></td>
<td valign="top" align="center"><italic>F</italic><sub>1, 16</sub></td>
<td valign="top" align="center"><italic>F</italic><sub>1, 16</sub></td>
<td valign="top" align="center"><italic>F</italic><sub>1, 16</sub></td>
</tr>
<tr>
<td valign="top" align="left">Total &#x00023; of leaves</td>
<td valign="top" align="center">2.444</td>
<td valign="top" align="center">0.097</td>
<td valign="top" align="center">2.444</td>
</tr>
<tr>
<td valign="top" align="left">Max leaf length</td>
<td valign="top" align="center">0.046</td>
<td valign="top" align="center"><bold>14.067<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;</sup></xref></bold></td>
<td valign="top" align="center">0.931</td>
</tr>
<tr>
<td valign="top" align="left">Total necrotic leaf length</td>
<td valign="top" align="center">0.010</td>
<td valign="top" align="center"><bold>89.508<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;</sup></xref></bold></td>
<td valign="top" align="center">0.201</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Biochemistry</bold></td>
<td valign="top" align="center"><italic>F</italic><sub>1, 8</sub></td>
<td valign="top" align="center"><italic>F</italic><sub>1, 8</sub></td>
<td valign="top" align="center"><italic>F</italic><sub>1, 8</sub></td>
</tr>
<tr>
<td valign="top" align="left">Proteins</td>
<td valign="top" align="center"><bold>14.846<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;</sup></xref></bold></td>
<td valign="top" align="center"><bold>6.575<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;</sup></xref></bold></td>
<td valign="top" align="center">5.072</td>
</tr>
<tr>
<td valign="top" align="left">Carbohydrates</td>
<td valign="top" align="center">3.903</td>
<td valign="top" align="center">2.043</td>
<td valign="top" align="center"><bold>6.859<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;</sup></xref></bold></td>
</tr>
<tr>
<td valign="top" align="left">Lipids</td>
<td valign="top" align="center"><bold>8.176<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;</sup></xref></bold></td>
<td valign="top" align="center"><bold>8.062<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;</sup></xref></bold></td>
<td valign="top" align="center">2.885</td>
</tr>
<tr style="border-top: thin solid #000000;">
<td valign="top" align="left"><bold>Pair wise test</bold></td>
<td/>
<td/>
<td valign="top" align="center"><bold>Time</bold> <bold>&#x000D7; Site</bold></td>
</tr>
<tr style="border-top: thin solid #000000;">
<td valign="top" align="left">Carbohydrates</td>
<td/>
<td valign="top" align="center">T2</td>
<td valign="top" align="center">C&#x02260;W</td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="center">T3</td>
<td valign="top" align="center">C=W</td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="center">Cold</td>
<td valign="top" align="center">T2&#x02260;T3</td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="center">Warm</td>
<td valign="top" align="center">T2=T3</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>PERMANOVA results on the change of the morphological (total &#x00023; of leaves/shoot, maximum leaf length/shoot, and total necrotic leaf length/shoot) and biochemical (proteins, carbohydrates, and lipids) variables due to Time (T2 and T3), Site (cold and warm) and their interaction. At the bottom pairwise test for the significant Time &#x000D7; Site interaction: C, cold site; W, warm site; T2, time 2; T3, time 3</italic>.</p>
<p><italic>The F-values in bold represent significative results of interest</italic>.</p>
<fn id="TN2">
<label>&#x0002A;</label>
<p><italic>Indicates statistical significance</italic>.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>Biochemical variations were also detected in plants at both sites (<xref ref-type="fig" rid="F5">Figure 5</xref> and <xref ref-type="table" rid="T3">Table 3</xref>). Carbohydrates changed differently depending on Time and Site interaction: in the warm site there was no difference between T2 and T3, while in the cold one a significant increase was found in T3. Conversely, Site and Time, but not their interaction, significantly affected both protein and lipid contents. After the first MHW (T2) the amount of proteins decreased while the lipids increased in both sites, and after the second wave (T3), proteins increased especially in the cold site plants, and lipids decreased especially at the warm site.</p>
</sec>
<sec>
<title>Manipulative Experiment (Future MHWs)</title>
<p>At the common garden, the simulated MHWs were all stronger and longer than the natural occurring at the warm and cold site (<xref ref-type="fig" rid="F2">Figures 2</xref>, <xref ref-type="fig" rid="F6">6</xref>). Particularly, the MHW duration was overall 52 days (from T0 to T3) for all three temperature treatments (CT, MT and HT), but temperature intensity changed considerably until T2 among treatments: in fact, at the HT area the wave reached 31.37&#x000B0;C, at the MT 29.68&#x000B0;C, while temperature at the CT was not higher than 29.24&#x000B0;C. T0 corresponds to before the different heat intensities, T2 to 15 days of highest temperature treatment, and T3 to other 21 days (from T2) of homogeneous temperature conditions (CT). Temperature in all treatments was always over the temperature threshold with the difference in intensity lasting from T1 to T2 (<xref ref-type="fig" rid="F6">Figure 6</xref>).</p>
<fig id="F6" position="float">
<label>Figure 6</label>
<caption><p>Future MHWs. Temporal variation of temperature at the common garden at the CT, MT, and HT area. T0, T2, and T3 refer to the sampling times. T1 refers to the time the shoots were moved to the different temperature areas. Climatology was calculated based on the last 30 years of SST; Threshold represents the 90<sup>th</sup> percentile of the climatology; 2x, 3x, 4x thresholds to define MHW categories (Hobday et al., <xref ref-type="bibr" rid="B28">2016</xref>).</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fclim-04-844831-g0006.tif"/>
</fig>
<p>Changes in the analyzed traits varied through time differently, depending on the temperature treatment and origin of the plants. In general, a larger similarity was found among the replicates from the cold site compared to those from the warm site, both through times (<xref ref-type="fig" rid="F7">Figure 7A</xref>) and temperature treatments especially depending on the origin (<xref ref-type="fig" rid="F7">Figure 7B</xref>). The most important contribution to the dissimilarities was overall due to the total length of necrotic tissue and all the biochemical variables (SIMPER test, <xref ref-type="table" rid="T4">Table 4</xref>).</p>
<fig id="F7" position="float">
<label>Figure 7</label>
<caption><p>Future MHWs. nMDS of the interaction between Time and Origin <bold>(A)</bold> and Temperature and Origin <bold>(B)</bold>. In the upper ordination <bold>(A)</bold>: red, warm origin; blue, cold one; triangles, T2 and squares, T3. In the lower ordination <bold>(B)</bold>: triangles, cold origin; squares, warm origin; yellow, CT; orange, MT; and red, HT.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fclim-04-844831-g0007.tif"/>
</fig>
<table-wrap position="float" id="T4">
<label>Table 4</label>
<caption><p>Future MHWs.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Time</bold> &#x000D7; <bold>Origin</bold></th>
<th/>
<th valign="top" align="left"><bold>Contribution of variables</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">T2</td>
<td valign="top" align="left">W vs. C</td>
<td valign="top" align="left">Total necrotic leaf length (81.09); proteins (6.88), carbohydrates (5.07)</td>
</tr>
<tr>
<td valign="top" align="left">T3</td>
<td valign="top" align="left">W vs. C</td>
<td valign="top" align="left">Carbohydrates (46.05), total necrotic leaf length (38.25); proteins (5.41); lipids (4.86)</td>
</tr>
<tr>
<td valign="top" align="left">W</td>
<td valign="top" align="left">T2 vs. T3</td>
<td valign="top" align="left">Total necrotic leaf length (77.66); lipids (9.03), carbohydrates (5.94)</td>
</tr>
<tr>
<td valign="top" align="left">C</td>
<td valign="top" align="left">T2 vs. T3</td>
<td valign="top" align="left">Carbohydrates (60.68); total necrotic leaf length (15.37); lipids (11.60); proteins (8.32)</td>
</tr>
<tr style="border-top: thin solid #000000;">
<td valign="top" align="left"><bold>Temperature</bold> &#x000D7; <bold>Origin</bold></td>
<td/>
<td valign="top" align="left"><bold>Contribution of variables</bold></td>
</tr>
<tr style="border-top: thin solid #000000;">
<td valign="top" align="left">CT</td>
<td valign="top" align="left">W vs. C</td>
<td valign="top" align="left">Total necrotic leaf length (80.75); proteins (6.02); total &#x00023; of leaves (5.55)</td>
</tr>
<tr>
<td valign="top" align="left">MT</td>
<td valign="top" align="left">W vs. C</td>
<td valign="top" align="left">Total necrotic leaf length (62.63); carbohydrates (17.32); proteins (16.25)</td>
</tr>
<tr>
<td valign="top" align="left">HT</td>
<td valign="top" align="left">W vs. C</td>
<td valign="top" align="left">Total necrotic leaf length (60.55); carbohydrates (30.24)</td>
</tr>
<tr>
<td valign="top" align="left">W</td>
<td valign="top" align="left">CT vs. MT</td>
<td valign="top" align="left">Total necrotic leaf length (83.35); proteins (10.32)</td>
</tr>
<tr>
<td valign="top" align="left">W</td>
<td valign="top" align="left">CT vs. HT</td>
<td valign="top" align="left">Total necrotic leaf length (64.55); lipids (15.71); carbohydrates (12.28)</td>
</tr>
<tr>
<td valign="top" align="left">W</td>
<td valign="top" align="left">MT vs. HT</td>
<td valign="top" align="left">Total necrotic leaf length (62.95); proteins (12.32); carbohydrates (12.10); lipids (10.63)</td>
</tr>
<tr>
<td valign="top" align="left">C</td>
<td valign="top" align="left">CT vs. MT</td>
<td valign="top" align="left">Carbohydrates (43.57); proteins (24.97); total necrotic leaf length (21.35); lipids (5.62)</td>
</tr>
<tr>
<td valign="top" align="left">C</td>
<td valign="top" align="left">CT vs. HT</td>
<td valign="top" align="left">Carbohydrates (62.82); total necrotic leaf length (16.61); proteins (12.80)</td>
</tr>
<tr>
<td valign="top" align="left">C</td>
<td valign="top" align="left">MT vs. HT</td>
<td valign="top" align="left">Carbohydrates (56.88). lipids (18.97); total necrotic leaf length (12.26); proteins (6.87)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>SIMPER test results on the interaction between Time (T2 and T3) and Origin (W, warm and C, cold) and the interaction between Temperature (HT, high temperature; MT, medium temperature; CT, control temperature) and Origin. In parenthesis the percentage of the contribution to the dissimilarities (90% cut off)</italic>.</p>
</table-wrap-foot>
</table-wrap>
<p>The morphology of <italic>P. oceanica</italic> changed differently between temperature treatments over time, also depending on the origin of the plant (<xref ref-type="fig" rid="F8">Figure 8</xref> and <xref ref-type="table" rid="T5">Table 5</xref>). Particularly, variations in the total number of leaves per shoot were only evident in T3 when, regardless the temperature intensity, it decreased importantly in plants from the cold site, while plants from the warm site lost more leaves at the HT and MT than at the CT. At T3 the number of leaves was similar in the plants of the two origins in both HT and MT, while at the CT it increased only in plants from the warm site. The maximum leaf length at T2 decreased depending on the specific combination between origin and temperature treatments: plants from the warm donor site had a higher decrease in the maximum leaf length in MT and HT treatments, than in CT, while treatments had similar effects on plants from the cold donor site. In T3 there was any recovery for this variable in none of the treatment combinations. The necrotic leaf length was highly dependent on the origin of the plant: the highest percentage of necrotic leaf length was recorded in plants from the warm site which showed signs of necrosis regardless the temperature treatments (CT, MT, and HT) already since T2. By contrast, necrotic portions of the leaves were very low and consistent through time in plants from the cold site.</p>
<fig id="F8" position="float">
<label>Figure 8</label>
<caption><p>Future MHWs. Mean change (%) in the morphological (total of leaves, max leaf length, and total necrotic leaf length) and biochemical variables (proteins, carbohydrates, lipids) at T2 and T3. Bar color corresponds to the temperature area: yellow = CT, orange = MT and red = HT. Border color corresponds to the plant origin: red = warm site and blue = cold site.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fclim-04-844831-g0008.tif"/>
</fig>
<table-wrap position="float" id="T5">
<label>Table 5</label>
<caption><p>Future MHWs: PERMANOVA results on the change at T2 and T3 of the morphological (total &#x00023; of leaves/shoot, maximum leaf length/shoot and total necrotic leaf length/shoot) and biochemical (proteins, carbohydrates, and lipids) variables due to the effect of the Temperature (HT, MT, and CT) and Origin (cold vs. warm site).</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Future MHWs</bold></th>
<th valign="top" align="center" colspan="3" style="border-bottom: thin solid #000000;"><bold>T2</bold></th>
<th valign="top" align="center" colspan="3" style="border-bottom: thin solid #000000;"><bold>T3</bold></th>
</tr>
<tr>
<th/>
<th valign="top" align="center"><bold>Temp</bold></th>
<th valign="top" align="center"><bold>Origin</bold></th>
<th valign="top" align="center"><bold>TxO</bold></th>
<th valign="top" align="center"><bold>Temp</bold></th>
<th valign="top" align="center"><bold>Origin</bold></th>
<th valign="top" align="center"><bold>TxO</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left"><bold>Morphology</bold></td>
<td valign="top" align="center"><italic>Pseudo-F<sub>2, 24</sub></italic></td>
<td valign="top" align="center"><italic>Pseduo-F<sub>1, 24</sub></italic></td>
<td valign="top" align="center"><italic>Pseduo-F<sub>2, 24</sub></italic></td>
<td valign="top" align="center"><italic>Pseduo-F<sub>2, 24</sub></italic></td>
<td valign="top" align="center"><italic>Pseduo</italic>&#x02212;<italic>F</italic><sub>1, 24</sub></td>
<td valign="top" align="center"><italic>Pseduo-F<sub>2, 24</sub></italic></td>
</tr>
<tr>
<td valign="top" align="left">Total &#x00023; of leaves</td>
<td valign="top" align="center">0.319</td>
<td valign="top" align="center">4.130</td>
<td valign="top" align="center">1.034</td>
<td valign="top" align="center">5.236<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">11.92<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center"><bold>6.028<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;</sup></xref></bold></td>
</tr>
<tr>
<td valign="top" align="left">Max leaf length</td>
<td valign="top" align="center">4.417<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">1.047</td>
<td valign="top" align="center"><bold>6.419<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;</sup></xref></bold></td>
<td valign="top" align="center">0.328</td>
<td valign="top" align="center">2.579</td>
<td valign="top" align="center">1.86</td>
</tr>
<tr>
<td valign="top" align="left">Total necrotic length</td>
<td valign="top" align="center">1.305</td>
<td valign="top" align="center"><bold>21.19<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;</sup></xref></bold></td>
<td valign="top" align="center">0.616</td>
<td valign="top" align="center">0.442</td>
<td valign="top" align="center"><bold>6.285<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;</sup></xref></bold></td>
<td valign="top" align="center">1.977</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Biochemistry</bold></td>
<td valign="top" align="center"><italic>Pseduo-F<sub>2, 12</sub></italic></td>
<td valign="top" align="center"><italic>Pseduo-F<sub>1, 12</sub></italic></td>
<td valign="top" align="center"><italic>Pseduo-F<sub>2, 12</sub></italic></td>
<td valign="top" align="center"><italic>Pseduo-F<sub>2, 12</sub></italic></td>
<td valign="top" align="center"><italic>Pseduo-F<sub>1, 12</sub></italic></td>
<td valign="top" align="center"><italic>Pseduo-F<sub>2, 12</sub></italic></td>
</tr>
<tr>
<td valign="top" align="left">Proteins</td>
<td valign="top" align="center">2.916</td>
<td valign="top" align="center">4.888<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center"><bold>28.978<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;</sup></xref></bold></td>
<td valign="top" align="center">21.426<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">35.662<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center"><bold>129.580<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;</sup></xref></bold></td>
</tr>
<tr>
<td valign="top" align="left">Carbohydrates</td>
<td valign="top" align="center">2.336</td>
<td valign="top" align="center">7.654<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">3.445</td>
<td valign="top" align="center"><bold>17.027<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;</sup></xref></bold></td>
<td valign="top" align="center"><bold>17.825<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;</sup></xref></bold></td>
<td valign="top" align="center">2.668</td>
</tr>
<tr>
<td valign="top" align="left">lipids</td>
<td valign="top" align="center"><bold>23.154<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;</sup></xref></bold></td>
<td valign="top" align="center"><bold>12.594<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;</sup></xref></bold></td>
<td valign="top" align="center">2.801</td>
<td valign="top" align="center">76.782<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">1.139</td>
<td valign="top" align="center"><bold>12.668<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;</sup></xref></bold></td>
</tr>
<tr style="border-top: thin solid #000000;">
<td valign="top" align="left"><bold>Pair wise test</bold></td>
<td/>
<td valign="top" align="center"><bold>T2</bold></td>
<td/>
<td/>
<td valign="top" align="center"><bold>T3</bold></td>
<td/>
</tr>
<tr style="border-top: thin solid #000000;">
<td valign="top" align="left">Total &#x00023; of leaves</td>
<td/>
<td/>
<td/>
<td valign="top" align="center">CT</td>
<td valign="top" align="center">C&#x02260;W</td>
<td/>
</tr>
<tr>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="center">MT</td>
<td valign="top" align="center">C=W</td>
<td/>
</tr>
<tr>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="center">HT</td>
<td valign="top" align="center">C=W</td>
<td/>
</tr>
<tr>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="center">Cold</td>
<td valign="top" align="center">CT=MT=HT</td>
<td/>
</tr>
<tr>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="center">Warm</td>
<td valign="top" align="center">CT&#x02260;MT=HT</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Max leaf</td>
<td valign="top" align="center">CT</td>
<td valign="top" align="center">C&#x02260;W</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">length</td>
<td valign="top" align="center">MT</td>
<td valign="top" align="center">C=W</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="center">HT</td>
<td valign="top" align="center">C=W</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="center">Cold</td>
<td valign="top" align="center">CT=MT=HT</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="center">Warm</td>
<td valign="top" align="center">CT&#x02260;MT=HT</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Proteins</td>
<td valign="top" align="center">CT<break/> MT<break/> HT<break/> Cold<break/> Warm</td>
<td valign="top" align="center">C&#x02260;W<break/> C&#x02260;W<break/> C=W<break/> MT&#x02260;CT=HT<break/> MT&#x02260;CT=HT</td>
<td/>
<td valign="top" align="center">CT<break/> MT<break/> HT<break/> Cold<break/> Warm</td>
<td valign="top" align="center">C&#x02260;W<break/> C&#x02260;W<break/> C&#x02260;W<break/> CT&#x02260;MT&#x02260;HT<break/> MT&#x02260;CT=HT</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Lipids</td>
<td valign="top" align="center">CT=MT&#x02260;HT</td>
<td/>
<td/>
<td valign="top" align="center">CT<break/> MT<break/> HT<break/> Cold<break/> Warm</td>
<td valign="top" align="center">C=W<break/> C=W<break/> C&#x02260;W<break/> CT=MT&#x02260;HT<break/> CT=MT=HT</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Carbohydrates</td>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="center">CT&#x02260;MT&#x02260;HT</td>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>At the bottom pairwise tests for the significant Temperature x Origin <bold>(</bold>TxO) interaction and Temperature effects: C, cold origin; W, warm origin; HT, high temperature; MT, medium temperature; CT, control temperature</italic>.</p>
<p><italic>The F-values in bold represent significative results of interest</italic>.</p>
<fn id="TN3">
<label>&#x0002A;</label>
<p><italic>Indicates statistical significance</italic>.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>Biochemical variations were also detected in the manipulative experiment (<xref ref-type="fig" rid="F8">Figure 8</xref> and <xref ref-type="table" rid="T5">Table 5</xref>). A significant effect of the interaction between temperature and origin was found on the protein content in both times, although the differences were not directly proportional to the temperature treatment. No significant differences in carbohydrates were found in T2 plants, while in T3 differences among temperature treatments were evident and directly proportional to the increase in heat. A significant role was also played by the origin of the plant, the cold plants producing more carbohydrates than the warm plants. At the end, plants from the cold site under HT treatment produced more carbohydrates than any other treatment plants. Finally, different results were found for the lipid content between sampling times: in T2 lipids increased according to the increasing temperature and in plants from the warm origin, more than those from the cold origin. However, in T3 a general decrease in the lipid content was detected especially in the CT and MT plants, while it remained high only in the cold origin plants of the HT treatment.</p>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>Heat effects due to current and future summer MHWs were evidenced by both morphological and biochemical <italic>P. oceanica</italic> variables. Although in both experiments <italic>P. oceanica</italic> morphology was affected by MHWs, plants were able to overcome both the natural heat event and the simulated MHWs by the end of the study, as all the shoots were still alive. Indeed, all the plants showed only sublethal responses which followed a similar pattern in both experiments for most of the variables, revealing that current and future MHWs had similar effects, but different in magnitude (<xref ref-type="supplementary-material" rid="SM1">Supplementary Figure 2</xref>): in fact, the plants of the manipulative experiment that experienced higher intensity and longer lasting MHWs, resembling future scenarios (Darmaraki et al., <xref ref-type="bibr" rid="B15">2019b</xref>), showed in general more intense responses, strongly depending on the origin of the plants. This similar pattern, even though different in magnitude, supports the hypothesis that dealing with cuttings for the manipulative experiment, rather than natural shoots (used for the mensurative one), did not introduce other variability: in fact, clonal integration among shoots, known for buffering against environmental changes (Ruocco et al., <xref ref-type="bibr" rid="B70">2021</xref>), should be in <italic>P. oceanica</italic> about 15 cm (Marb&#x000E0; et al., <xref ref-type="bibr" rid="B41">2002</xref>) and cuttings used in our study were always longer. Therefore, the consistent patterns between the current and future MHWs effects inform on how the seagrass will react to heat events in the future by decreasing the number of leaves, the maximum leaf length and lipid content and by increasing the leaf necrosis and the carbohydrate content. However, they also indicate that the local context will notably influence the performance of the plant.</p>
<p>The effects of current and future summer MHWs were clearly detectable, though results confirm the key role played by the local thermal condition (in terms of climatology) on plant performance. Here the effects of the current MHWs (mensurative experiment) are reported to depend on the site, and the effects of the intensity of MHWs (manipulative experiment) on the plant origin site. More specifically, during the current MHWs the factor site affected maximum leaf length, percentage of the total necrotic leaf length and all the biochemical variables, strongly supporting the hypothesis that <italic>P. oceanica</italic> has site-specific thermal acclimation responses. The importance of the site was evident also during future MHWs, when changes in the morphological attributes of plants from the warm origin showed, in general, a higher thermo resistance than plants from the cold one. The total number of leaves per shoot decreased homogeneously in the short-term (T2), while at the end of the experiment (T3) only plants of warm origin that experienced the MHW in the CT site (unaffected by the simulated MHW) recovered by producing new leaves. These results suggest that overcoming the effects of MHWs depended on the temperature intensity, but also on the origin of the shoots. Furthermore, maximum leaf length decreased sharply in both the short (T2) and the long-term (T3), but the duration of the heat event had a protrusive effect since it canceled the initial (T2) differences due to the origin and wave intensity. Similar sublethal responses of <italic>P. oceanica</italic> due to a prolonged induced heat stress were already found in mesocosm experiments (Mar&#x000ED;n-Guirao et al., <xref ref-type="bibr" rid="B42">2018</xref>), suggesting that the declines reported in natural populations after anomalous warming events could be the consequences of prolonged heat-induced physiological alterations detectable in several morphological traits (Heckathorn et al., <xref ref-type="bibr" rid="B25">2013</xref>).</p>
<p>In both experiments, plant origin also influenced the leaf necrosis, that in shoots from the warm site was much higher than in those from the cold site. This response was proportional in magnitude to the heat stress, as future MHWs triggered a higher leaf necrosis (but only in plants from the warm origin) than the current MHWs (<xref ref-type="supplementary-material" rid="SM1">Supplementary Figure 2</xref>). Necrosis is known to be a common higher plant response to abiotic stress (Van Doorn et al., <xref ref-type="bibr" rid="B85">2011</xref>; Beca-Carretero et al., <xref ref-type="bibr" rid="B6">2020</xref>), used as an indicator of irreversible heat-induced damage to the whole leaf tissue (since Kappen, <xref ref-type="bibr" rid="B33">1981</xref>), and thus the results are not surprising. However, the fact that this phenomenon only regarded the warm site plants could not be generalized and keeps open the question whether these were the most stressed plants or, rather, those that most likely would have survived to the heat period. Further research is necessary to question to what extent the necrosis should be seen as a sign of leaf senescence and consequent death or activation of a process that could improve the tolerance of the plant by reallocating the resources. The diversion of resources from leaves to rhizomes have been suggested as a likely strategy in the species to conserve resource stocks and withstand biotic (e.g., hervibory; Ruocco et al., <xref ref-type="bibr" rid="B71">2018</xref>) and abiotic (e.g., heat; Mar&#x000ED;n-Guirao et al., <xref ref-type="bibr" rid="B42">2018</xref>) stress conditions. Unfortunately, as no data after T3 are available, whether the plants would have been destined to a site-dependent mortality remains an unanswered question also because seagrass shoot death is not necessarily anticipated by morphological changes (Ceccherelli et al., <xref ref-type="bibr" rid="B11">2018</xref>) and to date heat resistance thresholds have not been clearly correlated to leaf necrosis. Though it is not possible to robustly infer about which between the two <italic>P. oceanica</italic> populations is the most vulnerable to the MHWs, the results suggest that they have different optimum temperature thresholds. This hypothesis is corroborated by the different reaction of the two seagrass populations to the same stimuli (common garden experiment), with the potentiality that the same condition can represent either a stimulation or an inhibition until plant death, depending on the local adaptation of individuals (Alexieva et al., <xref ref-type="bibr" rid="B2">2003</xref>). Indeed, different populations of the same species can also be locally adapted (Kawecki and Ebert, <xref ref-type="bibr" rid="B34">2004</xref>) and, since there is still ambiguity about genetic vs. plastic changes and adaptive vs. non-adaptive changes, tailored experiments employing appropriate inferential methods are needed to draw general conclusions on these issues (Meril&#x000E4; and Hendry, <xref ref-type="bibr" rid="B47">2014</xref>; Reusch, <xref ref-type="bibr" rid="B66">2014</xref>). Moreover, further experiments aimed at assessing the development and the survival rate of <italic>P. oceanica</italic> should be carried out to relate the seagrass performance to the effective resilience to the heat event.</p>
<p>A cumulative effect of two short summer MHWs in a row was not really appreciated neither in terms of shoots morphology nor of leaf biochemistry. Shoot morphology, in fact, was not affected by time in the mensurative experiment, while the biochemical composition varied only inconsistently. This result could be due to either a very rapid recovery of the before-MHW condition or to a complex compensatory metabolism of the plant (Reusch et al., <xref ref-type="bibr" rid="B67">2005</xref>; Traboni et al., <xref ref-type="bibr" rid="B84">2018</xref>). On the other hand, it is not possible to reject the existence of a thermal priming status that hardened the plants during the first MHW making them more resistant to the thermal stress of the second MHW, as recently demonstrated in a few seagrass species (Nguyen et al., <xref ref-type="bibr" rid="B51">2020</xref>), including <italic>P. oceanica</italic> seedlings (Pazzaglia et al., <xref ref-type="bibr" rid="B61">2022</xref>).</p>
<p>The biochemical composition of the leaves can be good predictor of seagrass stress (Ceccherelli et al., <xref ref-type="bibr" rid="B11">2018</xref>) and the analysis of metabolites in marine plants is used to understand how marine plants respond to dynamic environmental conditions (Kumar et al., <xref ref-type="bibr" rid="B35">2016</xref>). The results of this study also indicate that the content of the largest classes of organic compounds, in particular carbohydrates and lipids, varied significantly depending on the origin of the plant and the temperature. Both in the mensurative and manipulative experiments, carbohydrate content had a late response (T3), with plants having an increase with heat especially for the cold site (current MHW experiment) and cold origin (future MHW experiment), showing again the importance of the origin of the plant. Seagrasses are known to have a high pool of carbohydrates used to buffer the daily and seasonal fluctuations in light availability, so that the variability of carbohydrate content is typically reflected most at a seasonal scale (Alcoverro et al., <xref ref-type="bibr" rid="B1">2001</xref>). The results suggest that the carbohydrate pool could also buffer fluctuations in temperature at least at a short-time scale, so that carbohydrates would deserve to be investigated as early warnings of seagrass resistance ability to summer MHWs. In fact, the warming-induced sugar starvation described in heat-sensitive, but not heat-tolerant <italic>P. oceanica</italic> plants after a simulated MHWs, further support the importance of carbohydrate metabolism and signaling in the heat-stress response of seagrasses, and hence in their potential as early warning signals (Mar&#x000ED;n-Guirao et al., <xref ref-type="bibr" rid="B44">2019</xref>). Conversely, recent studies showed how different categories of fatty acids vary when temperature changes: the amount of saturated fatty acid increases and the number of unsaturated fatty acids decreases, maintaining membrane fluidity in response to thermal stress (Beca-Carretero et al., <xref ref-type="bibr" rid="B7">2018</xref>, <xref ref-type="bibr" rid="B5">2021</xref>). Here, a prolonged heat event caused a decrease in the total amount of lipids (consistently in the current and future MHW experiments) that was proportional to the heat intensity (<xref ref-type="supplementary-material" rid="SM1">Supplementary Figure 2</xref>), thus suggesting that lipids also can be good predictors of heat stress, even as a whole category. Conversely, proteins are likely not a reliable warning of heat stress, because although the interactive effect between temperature and origin was found in both times of the future MHWs experiment (but not in the current ones) a unique direction of the change could not be identified. Similar observations on the protein content were recently found in other seagrasses (Beca-Carretero et al., <xref ref-type="bibr" rid="B5">2021</xref>) and, likely for the intrinsic variability of protein contents, a much higher replication would be needed to define the scale of reliability of such variable. Overall, the change of the biochemical content in primary producers may have an important ecological role (Hern&#x000E1;n et al., <xref ref-type="bibr" rid="B27">2016</xref>) and needs to be further investigated also by identifying how specific groups of these biochemical contents may change in relation of heat events. In fact, the change of the components may not only anticipate the changes in the morphological variables after or during a stress, but it can also predict how the trophic interactions will change when nutritional values vary according to the heat, since they can affect the nutritional preferences of seagrass herbivores (Carmen et al., <xref ref-type="bibr" rid="B10">2012</xref>; Hern&#x000E1;n et al., <xref ref-type="bibr" rid="B27">2016</xref>) and, consequently, the impact the trophic interactions between producers and consumers.</p>
<p>Overall, morphological changes here induced by MHWs were consistent with expectations formulated on other seagrass species, such as that increased temperature triggers higher necrotic leaf portions (Beca-Carretero et al., <xref ref-type="bibr" rid="B6">2020</xref>) and reduces leaf formation rates (Olsen et al., <xref ref-type="bibr" rid="B57">2012</xref>). The novelty of these findings stands on the high discrepancy between <italic>P. oceanica</italic> shoots performance of different thermal origin (including the unexpected higher necrosis in warm-origin plants) highlighting the intimate reaction of plants to current and future summer MHWs at least in the short-term after. <italic>P. oceanica</italic> was suggested to have low thermal optimum and lethal limits compared to other Mediterranean seagrasses (Savva et al., <xref ref-type="bibr" rid="B73">2018</xref>), such as <italic>Cymodocea nodosa</italic> (Mar&#x000ED;n-Guirao et al., <xref ref-type="bibr" rid="B45">2016</xref>). In general, seagrass meadow declines are likely linked to the intensity and duration of the MHWs (Marb&#x000E0; and Duarte, <xref ref-type="bibr" rid="B40">2010</xref>; Arias-Ortiz et al., <xref ref-type="bibr" rid="B4">2018</xref>; Smale et al., <xref ref-type="bibr" rid="B79">2019</xref>; Strydom et al., <xref ref-type="bibr" rid="B81">2020</xref>) and these results provided evidence that the resistance to the same event will depend much on the context the seagrass lives or comes from. Even if further studies on the resistance to MHWs are necessary to define the thermal tolerance of <italic>P. oceanica</italic> and distinguish between acclimation and adaptation process, results are enough to suggest considering the local thermal conditions in restoration efforts (Pazzaglia et al., <xref ref-type="bibr" rid="B62">2021b</xref>), since they can influence the performance of the transplanted plants and thus affect the success of the whole actions.</p>
</sec>
<sec sec-type="data-availability" id="s5">
<title>Data Availability Statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="sec" rid="s9">Supplementary Material</xref>, further inquiries can be directed to the corresponding author.</p>
</sec>
<sec id="s6">
<title>Author Contributions</title>
<p>PS, GC, GP, and LM-G conceived the ideas and designed methodology. PS, APa, and FP collected the data for the morphological analyses. APu and SS collected the data for the biochemical analysis. PS and FP analyzed the data. PS and GC led the writing of the manuscript. All authors have contributed critically to the drafts, gave final approval for publication, and agreed to be accountable for all aspects of the work.</p>
</sec>
<sec sec-type="funding-information" id="s7">
<title>Funding</title>
<p>The study has been funded by Italian Ministry of Education and Research PRIN 2017 (MHHWBN) Marine Habitats restoration in a climate change-impaired Mediterranean Sea (MAHRES) and by PON&#x02014;National Operational Programme&#x02014;Research and Innovation 2014&#x02013;2020&#x02014;PhDs and research contracts on innovation-related topics.</p>
</sec>
<sec sec-type="COI-statement" id="conf1">
<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 sec-type="disclaimer" id="s8">
<title>Publisher&#x00027;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><p>We sincerely thank Luigi Piazzi for helping in transplanting plants on Time 0 and Paola Maglioli and Paolino Schiaffino (EP Produzione Fiume Santo) for supporting us in the logistic activities at the power plant.</p>
</ack>
<sec sec-type="supplementary-material" id="s9">
<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/fclim.2022.844831/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fclim.2022.844831/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Table_1.DOCX" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"/></sec>
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