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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.2024.1355449</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>Wave, light, and dissolved oxygen exposures drive novel coastal eelgrass (<italic>Zostera pacifica)</italic> transplant performance</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Sanders</surname>
<given-names>Rilee D.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
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<name>
<surname>Obaza</surname>
<given-names>Adam K.</given-names>
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<xref ref-type="aff" rid="aff2">
<sup>2</sup>
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<contrib contrib-type="author">
<name>
<surname>Grime</surname>
<given-names>Benjamin C.</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
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<name>
<surname>Lindhart</surname>
<given-names>Mathilde</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
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<contrib contrib-type="author">
<name>
<surname>Miller</surname>
<given-names>Luke P.</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
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<contrib contrib-type="author">
<name>
<surname>Elsmore</surname>
<given-names>Kristen E.</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
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<contrib contrib-type="author">
<name>
<surname>Carmack</surname>
<given-names>Olivia C.</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
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<contrib contrib-type="author">
<name>
<surname>Ford</surname>
<given-names>Tom K.</given-names>
</name>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
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<contrib contrib-type="author">
<name>
<surname>Leichter</surname>
<given-names>James J.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
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<aff id="aff1">
<sup>1</sup>
<institution>Scripps Institution of Oceanography, University of California, San Diego</institution>, <addr-line>La Jolla, CA</addr-line>, <country>United States</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Paua Marine Research Group</institution>, <addr-line>San Diego, CA</addr-line>, <country>United States</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>The Nature Conservancy</institution>, <addr-line>Los Angeles, CA</addr-line>, <country>United States</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Department of Biology, San Diego State University</institution>, <addr-line>San Diego, CA</addr-line>, <country>United States</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>California Department of Fish and Wildlife</institution>, <addr-line>Santa Rosa, CA</addr-line>, <country>United States</country>
</aff>
<aff id="aff6">
<sup>6</sup>
<institution>The Bay Foundation</institution>, <addr-line>Los Angeles, CA</addr-line>, <country>United States</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Richard K. F. Unsworth, Swansea University, United Kingdom</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: W. Judson Kenworthy, Independent Researcher, Beaufort, SC, United States</p>
<p>Luis G. Egea, University of C&#xe1;diz, Spain</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Rilee D. Sanders, <email xlink:href="mailto:rdsanders@ucsd.edu">rdsanders@ucsd.edu</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>09</day>
<month>02</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>11</volume>
<elocation-id>1355449</elocation-id>
<history>
<date date-type="received">
<day>13</day>
<month>12</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>25</day>
<month>01</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2024 Sanders, Obaza, Grime, Lindhart, Miller, Elsmore, Carmack, Ford and Leichter</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Sanders, Obaza, Grime, Lindhart, Miller, Elsmore, Carmack, Ford and Leichter</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>The high ecological and economic value of seagrass has been long recognized, with these foundational habitats providing myriad ecosystem services. Yet through cumulative anthropogenic impacts, seagrasses are exhibiting extensive declines globally. A litany of studies and active restoration trials have demonstrated practical methodologies to restore seagrass habitats and effectively return critical habitat functions to degraded coastal zone systems worldwide. Seagrass loss along the U.S. West Coast has precipitated decades of seagrass protection, conservation, and restoration efforts. Yet, mitigation transplanting efforts have prioritized <italic>Zostera marina</italic> (narrow-leaved eelgrass) in shallow, protected environments, while a dearth of information is available on species inhabiting offshore islands and exposed mainland coasts. In this study, we conducted a novel transplant of <italic>Zostera pacifica</italic>, a wide-leaved species found in depths of 7 &#x2013; 20 m along the offshore islands and mainland coast of California. Transplants were conducted at three geographically distinct sites in Santa Monica Bay, coupled with continuous monitoring of biophysical parameters providing insight into physical drivers at transplant and donor sites. Utilizing <italic>in situ</italic> data, and environmental thresholds adapted from the literature for <italic>Z. marina</italic>, we performed exposure analyses to evaluate factors influencing <italic>Z. pacifica</italic> transplant performance. Exceedances of threshold values for environmental parameters, specifically, wave exposure and near-bed flow speeds (<italic>H<sub>rms</sub>
</italic> &gt; 0.59 m and <italic>U<sub>rms</sub>
</italic> &gt; 0.1 m s<sup>-1</sup>), photosynthetically active radiation (&lt; 3 and &gt; 5 mol m<sup>-2</sup> day<sup>-1</sup>) and dissolved oxygen (&lt; 3 mg O<sub>2</sub> L<sup>-1</sup>) exposure impacted transplant survivorship. These results suggest <italic>Z. pacifica</italic> persist in biophysically dynamic conditions and are sensitive to exceedances of thresholds, underlining the importance of pre-transplant site-selection processes to this species. These data represent the first holistic study of <italic>Z. pacifica</italic> transplanting on an exposed mainland coast, which provides a view into the baseline environmental envelopes within existing <italic>Z. pacifica</italic> habitat, and further, may serve as a model for investigating scalable open coast seagrass restoration for temperate regions.</p>
</abstract>
<kwd-group>
<kwd>eelgrass</kwd>
<kwd>transplant</kwd>
<kwd>
<italic>Zostera pacifica</italic>
</kwd>
<kwd>PAR</kwd>
<kwd>DO</kwd>
<kwd>wave</kwd>
<kwd>thresholds</kwd>
</kwd-group>
<contract-sponsor id="cn001">California State Coastal Conservancy<named-content content-type="fundref-id">10.13039/100022499</named-content>
</contract-sponsor>
<contract-sponsor id="cn002">Restore America's Estuaries<named-content content-type="fundref-id">10.13039/100027994</named-content>
</contract-sponsor>
<contract-sponsor id="cn003">Scripps Institution of Oceanography<named-content content-type="fundref-id">10.13039/100023638</named-content>
</contract-sponsor>
<counts>
<fig-count count="7"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="173"/>
<page-count count="19"/>
<word-count count="10729"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Marine Ecosystem Ecology</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Seagrasses are a suite of submerged aquatic angiosperms found globally and constitute critical foundational species in near-shore, shallow water marine systems (<xref ref-type="bibr" rid="B34">Duarte, 2002</xref>; <xref ref-type="bibr" rid="B133">Short et&#xa0;al., 2007</xref>; <xref ref-type="bibr" rid="B150">Unsworth and Cullen-Unsworth, 2014</xref>). Seagrasses provide myriad ecosystem services, supporting diverse fish and invertebrate species (<xref ref-type="bibr" rid="B62">Hoffman, 1986</xref>; <xref ref-type="bibr" rid="B68">Irlandi et&#xa0;al., 1999</xref>; <xref ref-type="bibr" rid="B2">Allen et&#xa0;al., 2002</xref>; <xref ref-type="bibr" rid="B121">Pondella et&#xa0;al., 2003</xref>; <xref ref-type="bibr" rid="B142">Tanner et&#xa0;al., 2019</xref>) and buffering against coastal erosion (<xref ref-type="bibr" rid="B58">Hansen and Reidenbach, 2012</xref>; <xref ref-type="bibr" rid="B36">Duarte et&#xa0;al., 2013</xref>). Seagrasses act as &#x2018;blue carbon&#x2019; systems, capable of mitigating local impacts of ocean acidification (<xref ref-type="bibr" rid="B73">Kapsenberg and Hofmann, 2016</xref>; <xref ref-type="bibr" rid="B128">Ricart et&#xa0;al., 2021</xref>), and contributing to biological carbon fixation (<xref ref-type="bibr" rid="B51">Fourqurean et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B35">Duarte and Krause-Jensen, 2017</xref>; <xref ref-type="bibr" rid="B159">Ward et&#xa0;al., 2021</xref>). Regardless of the ecological function, value, and importance of seagrasses (<xref ref-type="bibr" rid="B7">Barbier et&#xa0;al., 2011</xref>), these habitats are experiencing stark rates of decline at ~ 30% loss globally (<xref ref-type="bibr" rid="B107">Orth et&#xa0;al., 2006</xref>; <xref ref-type="bibr" rid="B161">Waycott et&#xa0;al., 2009</xref>; <xref ref-type="bibr" rid="B77">Krause-Jensen et&#xa0;al., 2020</xref>). The shallow coastal zones colonized by seagrasses are often jointly exposed to multiple local stressors (e.g., sedimentation, eutrophication, habitat fragmentation) (<xref ref-type="bibr" rid="B103">Obaza et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B1">Adams et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B84">Livernois et&#xa0;al., 2017</xref>) compounded by cumulative global pressures (e.g., elevated sea surface temperatures, sea level rise) (<xref ref-type="bibr" rid="B147">Turschwell et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B151">Unsworth et&#xa0;al., 2022</xref>). The vast benefits of seagrass ecosystems, coupled with ongoing threats to habitat, have precipitated diverse lines of inquiry into drivers of ecosystem structure, function, and the capacity for habitat restoration (<xref ref-type="bibr" rid="B136">Short and Wyllie-Echeverria, 1996</xref>; <xref ref-type="bibr" rid="B92">McKenzie et&#xa0;al., 2020</xref>).</p>
<p>Seagrass spatial coverage and habitat function are controlled by complex abiotic and biotic environmental factors (<xref ref-type="bibr" rid="B98">Munsch et&#xa0;al., 2023</xref>). Biological top-down controls can positively impact seagrass health (<xref ref-type="bibr" rid="B65">Hughes et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B50">Foster et&#xa0;al., 2021</xref>), or as is the case with herbivory, cause direct consumptive loss to the seagrass bed (<xref ref-type="bibr" rid="B3">Altstatt, 2003</xref>; <xref ref-type="bibr" rid="B61">Heck and Valentine, 2006</xref>; <xref ref-type="bibr" rid="B71">Jim&#xe9;nez-Ramos et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B153">Valentine and Heck, 2021</xref>). High ocean temperatures can change photosynthetic efficiencies, deteriorate disease resistance, alter community structure, and reduce growth and survival of seagrasses growing near species-specific thermal tolerances (<xref ref-type="bibr" rid="B72">Johnson et&#xa0;al., 2003</xref>; <xref ref-type="bibr" rid="B169">York et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B96">Moore et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B69">Jakobsson-Thor et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B138">Strydom et&#xa0;al., 2020</xref>). Likewise, dissolved oxygen is a vital factor influencing habitat function (<xref ref-type="bibr" rid="B114">Parnell et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B143">Tassone et&#xa0;al., 2022</xref>), with hypoxia and anoxia precipitating reduced growth and survival rates in seagrasses (<xref ref-type="bibr" rid="B63">Holmer and Bondgaard, 2001</xref>; <xref ref-type="bibr" rid="B56">Greve et&#xa0;al., 2003</xref>; <xref ref-type="bibr" rid="B123">Pulido and Borum, 2010</xref>). The two most consequential drivers influencing seagrass distribution at local scales are wave action and light attenuation (<xref ref-type="bibr" rid="B172">Zimmerman et&#xa0;al., 1997</xref>; <xref ref-type="bibr" rid="B134">Short and Coles, 2001</xref>; <xref ref-type="bibr" rid="B34">Duarte, 2002</xref>). Physical damage via wave exposure can break shoots and uproot plants, often setting the shallow limit of seagrass beds (<xref ref-type="bibr" rid="B47">Fonseca and Bell, 1998</xref>; <xref ref-type="bibr" rid="B76">Kopp, 1999</xref>; <xref ref-type="bibr" rid="B75">Koch, 2001</xref>; <xref ref-type="bibr" rid="B135">Short et&#xa0;al., 2002</xref>). Hydrodynamics can disrupt critical seagrass ecological processes, impacting nutrient uptake (<xref ref-type="bibr" rid="B23">Cornelisen and Thomas, 2004</xref>; <xref ref-type="bibr" rid="B44">El-Hacen et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B27">Dahl et&#xa0;al., 2020</xref>) and altering &#x2018;blue carbon&#x2019; capabilities through POC and DOC resuspension (<xref ref-type="bibr" rid="B42">Egea et&#xa0;al., 2023</xref>). Light regimes influence the photosynthetic capabilities of seagrass, and often constrain the depth limit of successful colonization (<xref ref-type="bibr" rid="B110">Ostenfeld, 1905</xref>; <xref ref-type="bibr" rid="B117">Phillips, 1964</xref>; <xref ref-type="bibr" rid="B6">Backman and Barilotti, 1976</xref>; <xref ref-type="bibr" rid="B31">Dennison and Alberte, 1982</xref>; <xref ref-type="bibr" rid="B33">Duarte, 1991</xref>; <xref ref-type="bibr" rid="B100">Nielsen et&#xa0;al., 2002</xref>; <xref ref-type="bibr" rid="B1">Adams et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B8">Beca-Carretero et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B78">Krumhansl et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B70">Jim&#xe9;nez-Ramos et&#xa0;al., 2023</xref>). Stochastic environmental events such as storms alter seagrass survival and can precipitate cascading declines in regional and local seagrass coverage (<xref ref-type="bibr" rid="B125">Rasmussen, 1977</xref>; <xref ref-type="bibr" rid="B119">Pollard and Greenway, 2013</xref>). The elucidation of species-specific biophysical limitations remains a critical component needed to enact appropriate and effective conservation measures and restorative actions (<xref ref-type="bibr" rid="B5">Aoki et&#xa0;al., 2020</xref>).</p>
<p>Along the Pacific Coast of North America, <italic>Zostera marina</italic> (L.) (narrow-leaved eelgrass) is the largest distributed seagrass species in the region inhabiting coastal estuaries and bays (<xref ref-type="bibr" rid="B133">Short et&#xa0;al., 2007</xref>; <xref ref-type="bibr" rid="B12">Blok et&#xa0;al., 2018</xref>). A second principal eelgrass species, the larger congener <italic>Zostera pacifica</italic> (wide-leaved eelgrass) (<xref ref-type="bibr" rid="B160">Watson, 1890</xref>), is present in just the Southern California Bight (SCB), inhabiting coastal shelf habitats and offshore islands in water depths of 7 &#x2013; 20 m (<xref ref-type="bibr" rid="B24">Cottam and Munro, 1954</xref>; <xref ref-type="bibr" rid="B137">State Water Resources Control Board (SWRCB), 1979</xref>; <xref ref-type="bibr" rid="B45">Engle and Miller, 2005</xref>; <xref ref-type="bibr" rid="B25">Coyer et&#xa0;al., 2008</xref>; <xref ref-type="bibr" rid="B106">Olsen et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B102">Obaza et&#xa0;al., 2022</xref>). Seagrass habitats along the West Coast of the USA, especially in California, are subject to significant anthropogenic impacts that have precipitated substantial losses of <italic>Zostera</italic> spp. (<xref ref-type="bibr" rid="B99">National Oceanic and Atmospheric Administration, 2014</xref>; <xref ref-type="bibr" rid="B74">Kelly et&#xa0;al., 2019</xref>), in some cases as severe as 95% loss in a 10-year period (<xref ref-type="bibr" rid="B105">O&#x2019;Leary et&#xa0;al., 2021</xref>). To combat these losses, regulatory agencies have enacted &#x2018;no net loss&#x2019; guidelines which necessitate compensatory mitigation when coastal development degrades <italic>Zostera</italic> spp. habitat (<xref ref-type="bibr" rid="B10">Bernstein et&#xa0;al., 2011</xref>). As such, restoration efforts to alleviate the loss of <italic>Zostera</italic> spp. habitat have been on-going for nearly 50 years (<xref ref-type="bibr" rid="B117">Phillips, 1964</xref>), and in the SCB, for more than 30 years (<xref ref-type="bibr" rid="B158">Ward and Beheshti, 2023</xref>). These compensatory mitigations and active restoration projects have remained relatively small and have utilized a multitude of transplant techniques, including single shoot, bundle shoot, transplant frames (TERFS), among others, and each project resulted in varying degrees of project success (<xref ref-type="bibr" rid="B163">Williams, 2001</xref>; <xref ref-type="bibr" rid="B3">Altstatt, 2003</xref>; <xref ref-type="bibr" rid="B158">Ward and Beheshti, 2023</xref>).</p>
<p>Restoration of estuarine and protected seagrass systems have garnered recognizable successes in restoring seagrass extent and habitat function (<xref ref-type="bibr" rid="B109">Orth et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B9">Beheshti et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B55">Gr&#xe4;fnings et&#xa0;al., 2023</xref>). Yet, global attempts at exposed open coast seagrass restoration are limited, with successful projects confined primarily to Western Australia (<xref ref-type="bibr" rid="B113">Paling et&#xa0;al., 2001</xref>; <xref ref-type="bibr" rid="B112">Paling et&#xa0;al., 2003</xref>; <xref ref-type="bibr" rid="B111">Paling et&#xa0;al., 2007</xref>; <xref ref-type="bibr" rid="B141">Tan et&#xa0;al., 2020</xref>), though additional examples of successful projects exists in Portugal and Tanzania (<xref ref-type="bibr" rid="B116">Paulo et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B162">Wegoro et&#xa0;al., 2022</xref>). Open coast seagrass habitats, especially on the West Coast of the U.S., are plagued by inconsistent, outdated, or entirely absent data; congruent with the challenges highlighted by global assessments seeking to gauge seagrass coverage more accurately (<xref ref-type="bibr" rid="B92">McKenzie et&#xa0;al., 2020</xref>). To date, nearly all seagrass restoration projects in the SCB have focused on <italic>Z. marina</italic> following impacts from coastal development projects occurring in depths from 1 to ~6 m in protected bays, lagoons, and estuaries (<xref ref-type="bibr" rid="B3">Altstatt, 2003</xref>; and e.g., <xref ref-type="bibr" rid="B62">Hoffman, 1986</xref>; <xref ref-type="bibr" rid="B120">Pondella et&#xa0;al., 2006</xref>; <xref ref-type="bibr" rid="B93">Merkel &amp; Associates, Inc, 2010</xref>; <xref ref-type="bibr" rid="B103">Obaza et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B88">MBC Applied Environmental, 2016</xref>), a disparity evidenced in a meta-analysis that identified 43 out of 44 transplant projects occurring in the SCB from 1989 to 2020 focused on <italic>Z. marina</italic> in protected embayments and estuaries (<xref ref-type="bibr" rid="B158">Ward and Beheshti, 2023</xref>).</p>
<p>Santa Monica Bay (SMB) constitutes the expanse from the rocky headland of Point Dume to the Palos Verdes Peninsula and includes much of the Los Angeles watershed (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>). SMB comprises a vast diversity of intertidal and subtidal habitats that are critically important for the ecological, economic, and cultural wellbeing of the region, earning the designation as one of the USA EPA&#x2019;s 28 National Estuary Programs (NEP). Historic accounts show that along with vast sandy habitats as well as rocky reefs and kelp forests, <italic>Zostera</italic> spp. were prevalent within the SMB NEP boundaries (<xref ref-type="bibr" rid="B43">Egstrom, 1974</xref>). Urbanization (i.e., coastal development, eutrophication, and pollution) associated with the growth of Los Angeles contributed to widespread degradation of the local marine environment (<xref ref-type="bibr" rid="B101">North, 1963</xref>; <xref ref-type="bibr" rid="B137">State Water Resources Control Board (SWRCB), 1979</xref>; <xref ref-type="bibr" rid="B166">Wilson and North, 1983</xref>; <xref ref-type="bibr" rid="B164">Williams et&#xa0;al., 2021</xref>). Contemporary assessments, though scattered and incomplete, of <italic>Zostera</italic> spp. in SMB reveal patchy and ephemeral beds predominately along the north-western shores near Malibu (<xref ref-type="bibr" rid="B43">Egstrom, 1974</xref>; <xref ref-type="bibr" rid="B10">Bernstein et&#xa0;al., 2011</xref>), in addition to robust and stable beds on offshore islands (<xref ref-type="bibr" rid="B45">Engle and Miller, 2005</xref>). This paucity of information specifically regarding <italic>Z. pacifica</italic> habitat hinders conservation efforts (but see <xref ref-type="bibr" rid="B45">Engle and Miller, 2005</xref>; <xref ref-type="bibr" rid="B25">Coyer et&#xa0;al., 2008</xref>; <xref ref-type="bibr" rid="B4">Altstatt et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B106">Olsen et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B102">Obaza et&#xa0;al., 2022</xref>).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Locations of <italic>Zostera pacifica</italic> (wide-leaved eelgrass) transplant sites and donor bed sites within the Southern California Bight. Sites are indicated by color and site types are designated by shape. Photos from transplant sites of the <bold>(A)</bold> bundle shoot transplant method and <bold>(B)</bold> single shoot transplant method are displayed.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-11-1355449-g001.tif"/>
</fig>
<p>The primary goals of this study were to apply prior successful <italic>Zostera</italic> spp. transplant techniques to a novel environment (i.e., exposed mainland coast) to advance methods for <italic>Z. pacifica</italic> restoration, and subsequently, assess the efficacy and scalability of open coast restoration in the SCB. In particular, the purpose of our study was to (1) track the temporal survivorship of transplanted <italic>Z. pacifica</italic> across three geographically distinct transplant sites within SMB, (2) quantify a suite of environmental parameters likely to be key to open coast seagrass survival, and (3) elucidate the conditions within extant open coast <italic>Z. pacifica</italic> beds. To evaluate causative factors impacting transplant performance, continuous <italic>in situ</italic> measurements of biophysical oceanographic metrics (temperature, wave characterizations, photosynthetically active radiation, and dissolved oxygen) were recorded at discrete transplant and extant donor sites from 2021 through 2023. These data can provide scientists, resource managers, and restoration practitioners a lucid view into the realized environmental niche of <italic>Z. pacifica</italic> and can substantially improve our ability to protect and restore this regionally significant foundational coastal habitat. And further, upscaling <italic>Zostera</italic> spp. restoration throughout an expanded scope of available habitat (i.e., open coast), allows for a greater range of improved habitat function. This study advances our foundational understanding of temperate open coast seagrass habitats by disentangling the biophysical oceanographic dynamics and species-specific requirements conducive to <italic>Z. pacifica</italic> proliferation, further aiding to inform effective restoration.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<label>2</label>
<title>Materials and methods</title>
<sec id="s2_1">
<label>2.1</label>
<title>Study sites</title>
<p>The Southern California Bight (SCB) spans ~1200 km of coastline from Ensenada, Mexico to Point Conception, California and consists of a multitude of subtidal habitats, including rocky reef, kelp forest, and seagrass habitats (<xref ref-type="bibr" rid="B165">Williams et&#xa0;al., 2022</xref>). This project was focused along the mainland coast of Santa Monica Bay (SMB) and offshore Catalina Island (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>). Three transplant sites were within coastal SMB, while the two donor bed sites (two largest extant <italic>Z. pacifica</italic> beds in the region) were located ~ 40km away on the south-eastern side of Catalina Island. Each site was ~0.5km offshore of the local coastline (mainland or Catalina). All transplant sites were established at 10 &#x2013; 12 m depth, typical of natal <italic>Z. pacifica</italic> beds within the SCB (<xref ref-type="bibr" rid="B10">Bernstein et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B102">Obaza et&#xa0;al., 2022</xref>). <italic>Z. pacifica</italic> transplanting at the three mainland sites occurred in July 2021, during the primary growing season (March through October) established by the 2014 National Oceanic and Atmospheric Administration California Eelgrass Mitigation Policy (CEMP). Donor material was collected at Catalina and transplanting occurred at Redondo Canyon on 20 July 2021, at Malaga Cove on 22 July 2021, and at Dockweiler on 27 July 2021. Dockweiler, Redondo Canyon, and Malaga Cove received 520, 486, and 526 shoots, respectively. A total of 1532 shoots were collected and transplanted to the three sites, constituting the largest <italic>Z. pacifica</italic> transplant reported to date.</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Donor material collection</title>
<p>The donor shoots were collected from two robust extant beds on the windward side of Catalina Island, Palisades and East End, with areas and densities of 27.74 hectares and 112 shoots m<sup>-2</sup>, and 10.48 hectares and 114 shoots m<sup>-2</sup>, respectively (<xref ref-type="bibr" rid="B102">Obaza et&#xa0;al., 2022</xref>). The donor bed sites ranged from 11 &#x2013; 22 m depth. While numerous extant <italic>Z. pacifica</italic> beds exist closer to the mainland within SMB, their ephemeral nature and small patchy distribution excluded them as adequate donor beds for transplant experiments. We instead selected sites at Catalina Island characterized by extensive and healthy <italic>Z. pacifica</italic> populations with decadal stability (<xref ref-type="bibr" rid="B45">Engle and Miller, 2005</xref>).</p>
<p>Material was collected from donor beds, for both the single shoot and bundle shoot transplant methodologies, in a systematic fashion, utilizing a thinning approach to avoid the creation of noticeable (&gt; 0.5 m<sup>-2</sup>) bare patches, and minimizing fragmentation. For the single shoot method, divers selected individual shoots and gently maneuvered the shoot and rhizome out of the sediment such that at least three internodal segments (~100 mm) of rhizome were attached to the apical shoot (<xref ref-type="bibr" rid="B3">Altstatt, 2003</xref>). Rhizomes with a single shoot were selectively used for this method, but per <xref ref-type="bibr" rid="B111">Paling et&#xa0;al. (2007)</xref> sediment was not actively removed from the rhizomes. Material for the bundle shoot method was collected similarly, although rhizomes with several shoots attached were also included along with a small amount of sediment. Divers selected shoots from the shallow edge, middle, and deep edge of the site to minimize fragmentation impact on the donor bed, while likely increasing clonal genetic diversity following <xref ref-type="bibr" rid="B106">Olsen et&#xa0;al. (2014)</xref>. To complete the bundle approach (<xref ref-type="bibr" rid="B171">Zhou et&#xa0;al., 2014</xref>), multiple shoots were connected with biodegradable twine on the research vessel during the transit to the transplant sites. Donor material was temporarily stored in large coolers with flow-through seawater and kept shaded for up to four hours between collecting and transplanting.</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Transplant</title>
<p>Collecting donor material and transplanting for single shoot and bundle shoot methodology occurred on the same day for each transplant site to minimize exposure stress. At each transplant location, SCUBA divers established a 30 m line at 10 to 12 m depth with individual experimental plots dispersed on either side. Each transplant site consisted of seven experimental plots, four bundle shoot plots (each 12 m<sup>-2</sup>) and three single shoot plots (each 9 m<sup>-2</sup>), ensuring inter-site replication along a single depth strata. Material was planted in a grid pattern within each plot and meter sticks were used to maintain transplant spacing. For the bundle shoot method, between 10 &#x2013; 13 bundles (consisting of 80 &#x2013; 110 total shoots) were planted at 1 m intervals within the four replicate plots at each site (see <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1A</bold>
</xref>). For each plot, divers excavated a small hole in the sediment, and the entire rhizome mass of the bundle was placed in the excavated hole along with a wooden tongue depressor, which was secured to the rhizome mass and positioned parallel to the substrate to act as an anchor. Single shoot planting was conducted using methods adapted from <xref ref-type="bibr" rid="B3">Altstatt (2003)</xref>. Between 40 &#x2013; 46 shoots were planted at 0.5 m intervals within the three replicate single shoot plots at each site (see <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1B</bold>
</xref>). Divers used a trowel to excavate sediment and gently maneuvered a single rhizome into the hole, placing a small gardening stake over the rhizome to act as an anchor. Sediment was pushed back over the rhizome so that it was completely buried, leaving the shoot naturally situated above the sediment.</p>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>Biological monitoring</title>
<p>All biological monitoring was conducted via SCUBA. Fish and eelgrass structural surveys were conducted at donor beds prior to (June 2021), and after (August 2021, July 2022, March 2023), collection of transplant material. Fish surveys were conducted at each site, where divers swam &lt; 1 m above the substrate and identified the species, counted the abundance, and determined the size of each fish within a 1 m high x 2 m wide survey window along the timed roving diver fish surveys (per <xref ref-type="bibr" rid="B120">Pondella et&#xa0;al., 2006</xref>; <xref ref-type="bibr" rid="B85">Looby and Ginsburg, 2021</xref>; <xref ref-type="bibr" rid="B102">Obaza et&#xa0;al., 2022</xref>). Collection of morphometrics (length, width, and density) of <italic>Z. pacifica</italic> in donor beds followed methods in <xref ref-type="bibr" rid="B89">McCune et&#xa0;al. (2020)</xref> and <xref ref-type="bibr" rid="B102">Obaza et&#xa0;al. (2022)</xref>.</p>
<p>Divers performed pre-transplant site surveys at each transplant location, and subsequently conducted monitoring to assess the biological characteristics of the transplants at intervals of 1-day, 1-week, 2-weeks, 1-month and quarterly thereafter through June 2023. Survivorship was defined as the number of remaining planting units (i.e., single shoots or bundle shoots) within plots (<xref ref-type="bibr" rid="B162">Wegoro et&#xa0;al., 2022</xref>). Inter-plot survivorship was assessed by enumerating single shoots and bundle shoots in each experimental plot at each transplant site during each timepoint (<xref ref-type="bibr" rid="B4">Altstatt et&#xa0;al., 2014</xref>). Divers temporarily placed flagging stakes next to each shoot to aid in accurate counts and to increase efficacy during monitoring events.</p>
</sec>
<sec id="s2_5">
<label>2.5</label>
<title>Environmental monitoring</title>
<p>The establishment of habitat and species-specific threshold values is a critical tool in ecosystem management regimes, as exceedances of threshold values can catalyze abrupt responses, often leading to habitat decline or loss (<xref ref-type="bibr" rid="B148">Uhrin and Turner, 2018</xref>). Threshold values of biophysical parameters impacting <italic>Z. marina</italic> have been expounded in numerous studies across its geographical distribution, both <italic>ex situ</italic> and <italic>in situ</italic> (<xref ref-type="bibr" rid="B135">Short et&#xa0;al., 2002</xref>; <xref ref-type="bibr" rid="B82">Lee et&#xa0;al., 2007</xref>; <xref ref-type="bibr" rid="B95">Moore and Jarvis, 2008</xref>; <xref ref-type="bibr" rid="B146">Thom et&#xa0;al., 2008</xref>). No critical threshold tolerances have been investigated for <italic>Z. pacifica</italic>; thus, biophysical thresholds established in this study have been adapted either from data collected near <italic>Z. pacifica</italic> habitat or from applicable <italic>Z. marina</italic> literature.</p>
<p>We measured temperature, light, dissolved oxygen, and wave exposure at each site, as these biophysical parameters can result in adverse impact to seagrass health, function, and survival (<xref ref-type="bibr" rid="B47">Fonseca and Bell, 1998</xref>; <xref ref-type="bibr" rid="B63">Holmer and Bondgaard, 2001</xref>; <xref ref-type="bibr" rid="B72">Johnson et&#xa0;al., 2003</xref>; <xref ref-type="bibr" rid="B37">Duarte et&#xa0;al., 2007</xref>). Temperature was measured from July 2021 &#x2013; June 2023. Wave dynamics were measured across four deployments October 2020, July &#x2013; August 2021, September &#x2013; December 2021, and February &#x2013; June 2022. Light and dissolved oxygen sensors were added from May 2022 &#x2013; June 2023. The number of days with acceptable data in the time series varied among the sites and environmental metrics (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>).</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Biophysical environmental data summary.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="bottom" align="center"/>
<th valign="middle" align="center">Dockweiler</th>
<th valign="middle" align="center">Redondo Canyon</th>
<th valign="middle" align="center">Malaga Cove</th>
<th valign="middle" align="center">Palisades</th>
<th valign="middle" align="center">East End</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="middle" colspan="6" align="left">Temperature</th>
</tr>
<tr>
<td valign="middle" align="left">Mean (&#xb0;C)</td>
<td valign="middle" align="left">15.66</td>
<td valign="middle" align="left">15.30</td>
<td valign="middle" align="left">16.03</td>
<td valign="middle" align="left">16.46</td>
<td valign="middle" align="left">16.50</td>
</tr>
<tr>
<td valign="middle" align="left">SD (&#xb0;C)</td>
<td valign="middle" align="left">1.58</td>
<td valign="middle" align="left">1.82</td>
<td valign="middle" align="left">1.69</td>
<td valign="middle" align="left">2.41</td>
<td valign="middle" align="left">2.64</td>
</tr>
<tr>
<td valign="middle" align="left">n (days)</td>
<td valign="middle" align="left">535</td>
<td valign="middle" align="left">598</td>
<td valign="middle" align="left">515</td>
<td valign="middle" align="left">338</td>
<td valign="middle" align="left">369</td>
</tr>
<tr>
<th valign="middle" colspan="6" align="left">Wave</th>
</tr>
<tr>
<td valign="middle" align="left">H<sub>rms</sub> mean (m)</td>
<td valign="middle" align="left">0.45</td>
<td valign="middle" align="left">0.48</td>
<td valign="middle" align="left">0.50</td>
<td valign="middle" align="left">0.37</td>
<td valign="middle" align="left">0.38</td>
</tr>
<tr>
<td valign="middle" align="left">H<sub>rms</sub> SD (m)</td>
<td valign="middle" align="left">0.08</td>
<td valign="middle" align="left">0.20</td>
<td valign="middle" align="left">0.18</td>
<td valign="middle" align="left">0.09</td>
<td valign="middle" align="left">0.10</td>
</tr>
<tr>
<td valign="middle" align="left">H<sub>s</sub> (m)</td>
<td valign="middle" align="left">0.64</td>
<td valign="middle" align="left">0.67</td>
<td valign="middle" align="left">0.71</td>
<td valign="middle" align="left">0.53</td>
<td valign="middle" align="left">0.54</td>
</tr>
<tr>
<td valign="middle" align="left">H<sub>s</sub> SD (m)</td>
<td valign="middle" align="left">0.11</td>
<td valign="middle" align="left">0.28</td>
<td valign="middle" align="left">0.26</td>
<td valign="middle" align="left">0.13</td>
<td valign="middle" align="left">0.14</td>
</tr>
<tr>
<td valign="middle" align="left">U<sub>rms</sub> mean (m s<sup>-1</sup>)</td>
<td valign="middle" align="left">0.12</td>
<td valign="middle" align="left">0.11</td>
<td valign="middle" align="left">0.13</td>
<td valign="middle" align="left">0.09</td>
<td valign="middle" align="left">0.11</td>
</tr>
<tr>
<td valign="middle" align="left">U<sub>rms</sub> SD (m s<sup>-1</sup>)</td>
<td valign="middle" align="left">0.02</td>
<td valign="middle" align="left">0.05</td>
<td valign="middle" align="left">0.05</td>
<td valign="middle" align="left">0.03</td>
<td valign="middle" align="left">0.03</td>
</tr>
<tr>
<td valign="middle" align="left">Tp mean (s)</td>
<td valign="middle" align="left">14.80</td>
<td valign="middle" align="left">8.55</td>
<td valign="middle" align="left">12.20</td>
<td valign="middle" align="left">14.70</td>
<td valign="middle" align="left">14.10</td>
</tr>
<tr>
<td valign="middle" align="left">Tp SD (s)</td>
<td valign="middle" align="left">1.84</td>
<td valign="middle" align="left">1.78</td>
<td valign="middle" align="left">3.16</td>
<td valign="middle" align="left">1.68</td>
<td valign="middle" align="left">1.76</td>
</tr>
<tr>
<td valign="middle" align="left">n (days)</td>
<td valign="middle" align="left">44</td>
<td valign="middle" align="left">237</td>
<td valign="middle" align="left">237</td>
<td valign="middle" align="left">195</td>
<td valign="middle" align="left">195</td>
</tr>
<tr>
<th valign="middle" colspan="6" align="left">PAR</th>
</tr>
<tr>
<td valign="middle" align="left">Mean (mol m<sup>-2</sup> day<sup>-1</sup>)</td>
<td valign="middle" align="left">0.87</td>
<td valign="middle" align="left">1.44</td>
<td valign="middle" align="left">1.78</td>
<td valign="middle" align="left">3.02</td>
<td valign="middle" align="left">4.01</td>
</tr>
<tr>
<td valign="middle" align="left">SD (mol m<sup>-2</sup> day<sup>-1</sup>)</td>
<td valign="middle" align="left">0.92</td>
<td valign="middle" align="left">1.00</td>
<td valign="middle" align="left">1.09</td>
<td valign="middle" align="left">2.51</td>
<td valign="middle" align="left">2.88</td>
</tr>
<tr>
<td valign="middle" align="left">n (days)</td>
<td valign="middle" align="left">181</td>
<td valign="middle" align="left">270</td>
<td valign="middle" align="left">215</td>
<td valign="middle" align="left">338</td>
<td valign="middle" align="left">369</td>
</tr>
<tr>
<th valign="middle" colspan="6" align="left">DO</th>
</tr>
<tr>
<td valign="middle" align="left">Mean (mg O<sub>2</sub> L<sup>-1</sup>)</td>
<td valign="middle" align="left">5.77</td>
<td valign="middle" align="left">7.34</td>
<td valign="middle" align="left">6.19</td>
<td valign="middle" align="left">8.13</td>
<td valign="middle" align="left">7.76</td>
</tr>
<tr>
<td valign="middle" align="left">SD (mg O<sub>2</sub> L<sup>-1</sup>)</td>
<td valign="middle" align="left">2.95</td>
<td valign="middle" align="left">1.04</td>
<td valign="middle" align="left">2.30</td>
<td valign="middle" align="left">0.37</td>
<td valign="middle" align="left">0.55</td>
</tr>
<tr>
<td valign="middle" align="left">n (days)</td>
<td valign="middle" align="left">181</td>
<td valign="middle" align="left">270</td>
<td valign="middle" align="left">215</td>
<td valign="middle" align="left">369</td>
<td valign="middle" align="left">249</td>
</tr>
<tr>
<td valign="middle" align="left">
<bold>Depth of sensor</bold> (m)</td>
<td valign="middle" align="left">11.4</td>
<td valign="middle" align="left">11.6</td>
<td valign="middle" align="left">11.1</td>
<td valign="middle" align="left">12.0</td>
<td valign="middle" align="left">11.6</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Temperature data spans July 2021 &#x2013; June 2023. Wave dynamics were measured across four deployments October 2020, July &#x2013; August 2021, September &#x2013; December 2021, and February &#x2013; June 2022. Photosynthetically active radiation and dissolved oxygen sensors were deployed from May 2022 &#x2013; June 2023. <italic>Zostera pacifica</italic> transplant occurred in July 2021.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<sec id="s2_5_1">
<label>2.5.1</label>
<title>Temperature</title>
<p>Following known adverse effects of elevated temperature on seagrass survival (<xref ref-type="bibr" rid="B57">Hammer et&#xa0;al., 2018</xref>), this study adapted a temperature threshold based on data collected near a <italic>Z. pacifica</italic> bed on Santa Cruz Island, California (<xref ref-type="bibr" rid="B73">Kapsenberg and Hofmann, 2016</xref>) and studies presented in a review by <xref ref-type="bibr" rid="B82">Lee et&#xa0;al. (2007)</xref>. The upper temperature induced growth inhibition threshold for this study was set at 20&#xb0;C.</p>
<p>
<italic>In situ</italic> bottom temperature was measured with thermistor instruments deployed continuously throughout the project. HOBO Temperature/Light Data Logger (Onset UA-002-64 loggers) set to 10-minute sampling interval were deployed at &lt; 1 m above the substrate in the transplant sites from July 2021 &#x2013; July 2022. HOBO loggers were phased out of the project and from May 2022 &#x2013; June 2023, transplant and donor beds had bottom mounted (&lt; 1 m above substrate) continuous temperature data recorded by miniPAR data loggers (Precision Measurement Engineering) set to 10-minute sample interval from May &#x2013; October 2022 and 5-minute sample interval from November 2022 &#x2013; June 2023).</p>
</sec>
<sec id="s2_5_2">
<label>2.5.2</label>
<title>Wave exposure</title>
<p>Wave action can cause dislodgment and physical damage to seagrass (<xref ref-type="bibr" rid="B75">Koch, 2001</xref>). Open Wave Height Loggers (OWHLs) are an inexpensive open-source design pressure transducer and digital recorder capable of continuous, multi-month deployment, with data quality comparable to commercially available products (<xref ref-type="bibr" rid="B86">Lyman et&#xa0;al., 2020</xref>). OWHLs are a cost-effective approach for site selection and optimization projects necessitating multi-site wave observations. OWHLs (4 Hz continuously recording) were deployed &lt; 1 m from the substrate in each donor bed and transplant site across multiple seasons. An initial deployment in October 2020 (n = 19 days) was conducted at the Palisades donor site to characterize wave conditions at a donor bed. The second deployment occurred July &#x2013; August 2021 (n = 44 days) at the three sites in SMB, providing data on inter-transplant site differences prior to and during the initial transplant period. Based on the findings from this deployment, notably that Dockweiler experienced significantly higher magnitude and longer sustained exposure to wave conditions than the other two transplant sites (see results below), the Dockweiler transplant site was excluded from subsequent OWHL deployments, Instead opting to reallocate the four OWHL sensors to concomitantly monitor both donor bed sites (Palisades and East End) and transplant sites (Redondo Canyon and Malaga Cove). The third (n = 95 days) and fourth (n= 108 days) OWHL deployments occurred from September &#x2013; December 2021 and February &#x2013; June 2022, respectively, in order to characterize wave conditions throughout the transplant and post-transplant time period to understand the role wave exposure might play in survivorship and persistence.</p>
<p>Wave spectra and derived quantities including root-mean-square wave heights, peak period, and wave orbital velocity at the bottom (seabed), were calculated from the OWHL pressure time series in MATLAB (<xref ref-type="bibr" rid="B145">The MathWorks Inc, 2022</xref>). First, to correct for attenuation of the pressure signal with depth, a pressure response factor (e.g., <xref ref-type="bibr" rid="B28">Dean and Dalrymple, 1991</xref>) was applied to the discrete Fourier transform calculated for each 30-min interval. From the corrected sea surface time series, the power spectral density (hereafter &#x2018;the wave spectrum&#x2019;), was then calculated every 30 minutes. The root-mean-square wave height (<italic>H<sub>rms</sub>
</italic>) is representative of the energy of the sea state (swell and wind waves) and is calculated as the square root of eight multiplied by the variance of the surface elevation. Note that in some studies wave energy is reported as a significant wave height, <italic>H<sub>s</sub>
</italic>, which is proportional to <italic>H<sub>rms</sub>
</italic> so that <inline-formula>
<mml:math display="inline" id="im1">
<mml:mrow>
<mml:msub>
<mml:mi>H</mml:mi>
<mml:mi>s</mml:mi>
</mml:msub>
<mml:mo>=</mml:mo>
<mml:msqrt>
<mml:mn>2</mml:mn>
</mml:msqrt>
<mml:msub>
<mml:mi>H</mml:mi>
<mml:mrow>
<mml:mi>r</mml:mi>
<mml:mi>m</mml:mi>
<mml:mi>s</mml:mi>
</mml:mrow>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula>. The peak period (Tp) is the inverse of the frequency containing the highest wave energy found from the wave spectrum (e.g., <xref ref-type="bibr" rid="B64">Holthuijsen, 2007</xref>). Particle trajectories under a wave follow an orbital motion (<xref ref-type="bibr" rid="B28">Dean and Dalrymple, 1991</xref>), where the horizontal velocity <italic>U<sub>rms</sub>
</italic> was calculated following <xref ref-type="bibr" rid="B140">Svendsen (2005)</xref> and <xref ref-type="bibr" rid="B94">Monismith et&#xa0;al. (2013)</xref>.</p>
<p>
<xref ref-type="bibr" rid="B135">Short et&#xa0;al. (2002)</xref> established a threshold value for wave exposure limiting <italic>Z. marina</italic> transplant beds as the mean of the conditions at the donor bed(s) plus two standard deviations. In our study, data from each donor bed site across all deployments was aggregated to calculate mean + 2SD, resulting in a threshold <italic>H<sub>rms</sub>
</italic> value of 0.59 m and a <italic>U<sub>rms</sub>
</italic> value of 0.1 m s<sup>-1</sup>.</p>
</sec>
<sec id="s2_5_3">
<label>2.5.3</label>
<title>Photosynthetically active radiation</title>
<p>Light availability is critical to seagrass growth and survival (<xref ref-type="bibr" rid="B33">Duarte, 1991</xref>). Photosynthetically active radiation (PAR) was measured continuously <italic>in situ</italic> as photosynthetic photon flux density (PPFD) using optical time-series instruments equipped with cleaning wipers deployed from May 2022 &#x2013; June 2023. The fixed vertical sensor arrays were deployed &lt; 1 m from the substrate. The miniPAR light sensor (Precision Measurement Engineering) sampled at 10-minute intervals from May &#x2013; October 2022 and 5-minute intervals from November 2022 &#x2013; June 2023, is equipped with a LI-192 Underwater Quantum Sensor (manufactured by LI-COR), which can detect a wavelength range of 400 &#x2013; 700 nm. To reduce the noise created by surface light flicker, the value measured by the miniPAR sensor is an average of 30 readings taken over a 5 second period. The anti-fouling cleaning wiper was set to wipe the sensor at 3-hour intervals throughout the deployments. The PPFD data (&#xb5;mol m<sup>-2</sup> s<sup>-1</sup>) were integrated over the course of each sampling day, creating daily integrated PAR (mol quantum m<sup>-2</sup> day<sup>-1</sup>) following <xref ref-type="bibr" rid="B40">Dunic and C&#xf4;t&#xe9; (2023)</xref>.</p>
<p>
<xref ref-type="bibr" rid="B146">Thom et&#xa0;al. (2008)</xref> conducted <italic>ex situ</italic> and <italic>in situ</italic> research on light requirements for <italic>Z. marina</italic> in the Pacific Northwest region of the U.S. and found 3 mol m<sup>-2</sup> day<sup>-1</sup> to be growth and survival limiting, while 5 mol m<sup>-2</sup> day<sup>-1</sup> was found to induce strong growth rates with long-term survival. This study has adapted these values as light thresholds.</p>
</sec>
<sec id="s2_5_4">
<label>2.5.4</label>
<title>Dissolved oxygen</title>
<p>Accelerated seagrass mortality and reduced growth rates are common impacts associated with low dissolved oxygen (DO) conditions (<xref ref-type="bibr" rid="B63">Holmer and Bondgaard, 2001</xref>). DO was measured <italic>in situ</italic> using a submersible miniDOT instrument (Precision Measurement Engineering) sampling at 10-minute intervals from May &#x2013; October 2022 and 1-minute sample interval from November 2022 &#x2013; June 2023. The miniDOT contains an optode that detects oxygen concentrations in the water column across a sensing foil membrane and records values in mg O<sub>2</sub> L<sup>-1</sup>. Temperature is measured concurrently with DO values. A 33.50 ppt salinity correction factor, representative of the long-term average for the region (<xref ref-type="bibr" rid="B19">Carter et&#xa0;al., 2022</xref>), was applied to the raw data following the manufacturer&#x2019;s recommendation. Further, miniDOT instruments record a &#x2018;Q value&#x2019; corresponding to the quality of the individual measurement, where a value &gt; 0.7 is indicative of proper sensor operation. A copper plate and copper mesh package were utilized as anti-fouling devices.</p>
<p>
<xref ref-type="bibr" rid="B95">Moore and Jarvis (2008)</xref> identified water column DO values of &lt; 3 mg O<sub>2</sub> L<sup>-1</sup> to induce tissue degradation in <italic>Z. marina</italic>, thus, we set a threshold of 3 mg O<sub>2</sub> L<sup>-1</sup>.</p>
</sec>
</sec>
<sec id="s2_6">
<label>2.6</label>
<title>Statistical analysis</title>
<p>Differences in the composition of fish assemblages were compared by creating a Bray-Curtis dissimilarity matrix from average relative species-specific encounter rates across individual surveys completed at transplant and donor beds from 2021 &#x2013; 2023. All species with &lt; 2% mean encounter rates across all surveys were removed. The dissimilarity matrix was used to create non-metric multi-dimensional scaling plots to visualize changes in fish assemblages across transplant and donor beds. Assemblage differences were tested using permutation multivariate analysis of variance (PERMANOVA) (<xref ref-type="bibr" rid="B90">McCune and Grace, 2002</xref>). Differences in group dispersion were tested using the &#x2018;betadisper&#x2019; function in the &#x2018;vegan&#x2019; package and were not significant; therefore, no additional transformations on these data were conducted. To determine species-specific differences in fish assemblage, a similarity percentages (SIMPER) procedure was performed with treatment as a factor. All multivariate statistical approaches were conducted using the &#x2018;vegan&#x2019; package in R (<xref ref-type="bibr" rid="B104">Oksanen et&#xa0;al., 2019</xref>).</p>
<p>Environmental data were analyzed and graphed in R (<xref ref-type="bibr" rid="B127">RCore Team, 2021</xref>, v. 4.1.2). Data corresponding to sensor malfunction and extreme biofouling were removed during quality control and were excluded from analysis (following <xref ref-type="bibr" rid="B128">Ricart et&#xa0;al., 2021</xref>). Standardization of the timeseries date range was applied to environmental data for statistical analysis and was based on the latest data start date and the earliest data end date across all sites for each biophysical parameter. Exposure analysis was conducted utilizing the &#x2018;heatwaveR&#x2019; package in R (<xref ref-type="bibr" rid="B130">Schlegel and Smit, 2018</xref>). Exposure calculations were performed based on daily exceedance (or negative exceedance, i.e., below) of established parameter thresholds. Empirical cumulative distribution function (eCDF) plots were employed to differentiate patterns of the environmental metrics among sites (<xref ref-type="bibr" rid="B9">Beheshti et&#xa0;al., 2022</xref>). Environmental data lacked variance homogeneity and were therefore analyzed using a non-parametric Kruskal-Wallis test and Dunn&#x2019;s <italic>post hoc</italic> test with a Holm-Bonferroni correction to critical p-value due to application of multiple tests of significance among sites (<xref ref-type="bibr" rid="B123">Pulido and Borum, 2010</xref>; <xref ref-type="bibr" rid="B17">Campbell et&#xa0;al., 2018</xref>). A p-value &lt; 0.05 represents a significant difference detected between sites, indicating a rejection of the &#x2018;similarity of sites&#x2019; null hypothesis.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<sec id="s3_1">
<label>3.1</label>
<title>Transplant survivorship</title>
<p>Transplant sites experienced minor loss immediately post-transplanting, followed by a slight expansion in total shoots observed at two of the three sites around 20 days post-transplant, until complete mortality was observed across all sites after day 315 (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>). Survivorship varied across sites, with poor survivorship at Dockweiler (DW), better survivorship at Redondo Canyon (RC), and longest survivorship at Malaga Cove (MC). At DW and RC, 1.9 and 2.1% of material was lost between transplanting and the 24-hour survey respectively, while MC did not lose any transplanted material until day 15. Highlighting site-specific divergence, survivorship at DW was only 35.8% by day 37, while RC and MC experienced 85.4% and 80.4% survivorship respectively. By day 90, DW, RC, and MC had 23.3%, 67.9%, and 68.1% survivorship, but by day 197 complete mortality occurred at DW and RC, and survivorship at MC had declined to 30%.</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>
<italic>Zostera pacifica</italic> (wide-leaved eelgrass) transplant survivorship from July 2021 &#x2013; June 2023, expressed in days after transplanting. Percent survivorship by site <bold>(A)</bold>, color and shape designate site: orange circles (Dockweiler), gold triangles (Redondo Canyon), blue squares (Malaga Cove). Percent survivorship by transplanting method per site <bold>(B-D)</bold>, color designates transplant method: blue (bundle shoot) and orange (single shoot).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-11-1355449-g002.tif"/>
</fig>
<p>Further survival disparity was pronounced among transplant methods, with the single shoot method outperforming bundle shoot method across all sites (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>). Methodological survival differences were most prominent at DW, whereby day 37 bundle shoot survivorship was reduced to 23.1%, while single shoot survivorship was substantially higher at 75.4%. Differences in survival among transplant methods were also evident at other sites, whereby day 90 RC single shoot survivorship was 89.3% while bundle shoot survivorship was 60.7%; and at MC single shoot survivorship was 93.1% while bundle shoot survivorship was 59.8%. At MC (the best performing site) 5.4% of single shoots remained on site until after day 315, while bundle shoots suffered prior complete mortality.</p>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Fish surveys</title>
<p>A total of 3,692 fishes from 26 species were recorded over 139 transects across all five sites. The donor bed sites had greater species richness than transplant sites throughout the study period and greater species encounter rates for all fishes as well (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>). No fish encounters were observed during pre-transplant site selection surveys, and there were no significant increases in encounter rate before and after transplant activities at transplant sites. No meaningful relationships of species richness or encounter rate were detected between the three transplant sites. PERMANOVA results indicated that the composition of fish assemblages observed at donor beds and transplant sites were significantly different from one another <italic>(F<sub>1,24 =</sub>
</italic>10.14, p <italic>=</italic> 0.001), with no overlap in the NMDS plot (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>). According to results from the SIMPER analysis, differences were driven by greater relative abundance of sanddab (<italic>Citharichthys stigmaeus</italic>) and California halibut (<italic>Paralichthys californicus</italic>) at transplant sites and greater relative abundance of kelp bass (<italic>Paralabrax clathratus</italic>), rock wrasse (<italic>Halichoeres semicinctus)</italic>, se&#xf1;orita (<italic>Oxyjulis californica</italic>), and salema (<italic>Xenistius californiensis</italic>) at donor bed sites.</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Blue color represents transplant sites and red color represents donor bed sites. <bold>(A)</bold> Species richness at transplant and donor bed sites. Points are averages of all transects at each survey and error bars are standard error. <bold>(B)</bold> Encounter rates for all fishes at transplant and donor bed sites. Points are averages of all transects at each survey and error bars are standard error. <bold>(C)</bold> NMDS plot of fish assemblages in transplant and donor bed sites. Each point represents the mean relative encounter rates across all transects during a single survey event at a transplant or donor bed site. Surveys took place from 2021 to 2023. The points remain separate despite passage of time, suggesting relative fish encounters remained different across transplant and donor bed sites. Stress was 0.033. Permutation multivariate analysis of variance (PERMANOVA) results reported on plot.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-11-1355449-g003.tif"/>
</fig>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Temperature exposure</title>
<p>Temperature exposure above the 20&#xb0;C threshold was not a crucial indicator of transplant performance as values fell well within, and even below, the exposure conditions at the donor bed sites (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>, <xref ref-type="table" rid="T1">
<bold>Tables&#xa0;1</bold>
</xref>, <xref ref-type="table" rid="T2">
<bold>2</bold>
</xref>). Transplant site high temperature exposure percentages were DW (2.06%), RC (2.34%), and MC (3.30%) and were less exposed than the donor bed sites Palisades (PAL) (11.54%) and East End (EE) (17.07%). The longest continual exposure period above the threshold for the sites were 10, 11, 11, 11, and 26 days for DW, RC, MC, PAL, and EE respectively. The highest temperature recorded at the transplant sites was 22.39&#xb0;C and 23.09&#xb0;C at the donor bed sites. From August 2021 &#x2013; January 2023 for transplant sites (n = 514 days), DW was significantly different from MC (p &lt; 0.05) and MC was significantly different from RC (p &lt; 0.05), though DW was not significantly different from RC (p = 0.76). For continuity of date range across all transplant and donor sites, from May 2022 &#x2013; January 2023 (n = 221 days) significant differences were detected between comparisons of transplant sites and donor bed sites (p &lt; 0.05), though temperatures at the two donor bed sites were not significantly different from one another (p = 0.28).</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Exposure summary.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="bottom" align="center"/>
<th valign="middle" align="center">Dockweiler</th>
<th valign="middle" align="center">Redondo Canyon</th>
<th valign="middle" align="center">Malaga Cove</th>
<th valign="middle" align="center">Palisades</th>
<th valign="middle" align="center">East End</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="middle" colspan="6" align="left">Temperature</th>
</tr>
<tr>
<td valign="middle" align="left">Percent above 20&#xb0;C</td>
<td valign="middle" align="left">2.06</td>
<td valign="middle" align="left">2.34</td>
<td valign="middle" align="left">3.30</td>
<td valign="middle" align="left">11.54</td>
<td valign="middle" align="left">17.07</td>
</tr>
<tr>
<th valign="middle" colspan="6" align="left">Wave</th>
</tr>
<tr>
<th valign="middle" colspan="6" align="left">July-Aug 2021 Deployment</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Percent above H<italic>
<sub>rms</sub>
</italic> threshold*</td>
<td valign="middle" align="left">6.82</td>
<td valign="middle" align="left">0</td>
<td valign="middle" align="left">2.27</td>
<td valign="middle" align="center">
<bold>-</bold>
</td>
<td valign="middle" align="center">
<bold>-</bold>
</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Percent above U<italic>
<sub>rms</sub>
</italic> threshold**</td>
<td valign="middle" align="left">86.36</td>
<td valign="middle" align="left">13.64</td>
<td valign="middle" align="left">36.36</td>
<td valign="middle" align="center">
<bold>-</bold>
</td>
<td valign="middle" align="center">
<bold>-</bold>
</td>
</tr>
<tr>
<th valign="middle" colspan="6" align="left">Sep 2021 - June 2022 Deployment</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Percent above H<italic>
<sub>rms</sub>
</italic> threshold*</td>
<td valign="middle" align="center">
<bold>-</bold>
</td>
<td valign="middle" align="left">28.50</td>
<td valign="middle" align="left">31.09</td>
<td valign="middle" align="left">2.56</td>
<td valign="middle" align="left">2.56</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Percent above U<italic>
<sub>rms</sub>
</italic> threshold**</td>
<td valign="middle" align="center">
<bold>-</bold>
</td>
<td valign="middle" align="left">58.55</td>
<td valign="middle" align="left">83.42</td>
<td valign="middle" align="left">34.36</td>
<td valign="middle" align="left">55.90</td>
</tr>
<tr>
<th valign="middle" colspan="6" align="left">PAR</th>
</tr>
<tr>
<td valign="middle" align="left">Percent below 3 mol m-<sup>2</sup> day<sup>-1</sup>
</td>
<td valign="middle" align="left">96.13</td>
<td valign="middle" align="left">91.85</td>
<td valign="middle" align="left">87.44</td>
<td valign="middle" align="left">62.72</td>
<td valign="middle" align="left">47.43</td>
</tr>
<tr>
<td valign="middle" align="left">Percent above 5 mol m-<sup>2</sup> day<sup>-1</sup>
</td>
<td valign="middle" align="left">0</td>
<td valign="middle" align="left">0</td>
<td valign="middle" align="left">0.93</td>
<td valign="middle" align="left">21.01</td>
<td valign="middle" align="left">31.44</td>
</tr>
<tr>
<th valign="middle" colspan="6" align="left">DO</th>
</tr>
<tr>
<td valign="middle" align="left">Percent below 3 mg O<sub>2</sub> L<sup>-1</sup>
</td>
<td valign="middle" align="left">23.20</td>
<td valign="middle" align="left">1.11</td>
<td valign="middle" align="left">15.35</td>
<td valign="middle" align="left">0</td>
<td valign="middle" align="left">0</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>*Hrms threshold set at 0.59 m.</p>
</fn>
<fn>
<p>**Urms threshold set at 0.1 m s<sup>-1</sup>.</p>
</fn>
<fn>
<p>Temperature threshold adapted from <xref ref-type="bibr" rid="B73">Kapsenberg and Hofmann (2016)</xref> and <xref ref-type="bibr" rid="B82">Lee et&#xa0;al. (2007)</xref>. Wave thresholds adapted from <xref ref-type="bibr" rid="B135">Short et&#xa0;al. (2002)</xref> and calculated based on donor bed data across all deployments. Photosynthetically active radiation thresholds adapted from <xref ref-type="bibr" rid="B146">Thom et&#xa0;al. (2008)</xref>. Dissolved oxygen threshold adapted from <xref ref-type="bibr" rid="B95">Moore and Jarvis (2008)</xref>.</p>
</fn>
<fn>
<p>Percent of time above or below a given environmental parameter threshold.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Temperature exposure timeseries across all transplant and donor sites from July 2021 &#x2013; June 2023. Solid black line represents mean daily temperature timeseries, while dotted blue line represents site average across the span of the timeseries. Red horizontal line represents temperature threshold set at 20 &#xb0;C. Gaps in data correspond to sensor malfunctions. Temperature data was unavailable at donor beds until May 2022. Dockweiler (DW), Redondo Canyon (RC), and Malaga Cove (MC) are transplant sites. Palisades (PAL) and East End (EE) are donor beds. Site average &#xb1; SD in &#xb0;C: DW (15.66 &#xb1; 1.58), RC (15.30 &#xb1; 1.82), MC (16.03 &#xb1; 1.69), PAL (16.46 &#xb1; 2.41), and EE (16.50 &#xb1; 2.64). See <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref> for percent time each site was above the threshold.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-11-1355449-g004.tif"/>
</fig>
</sec>
<sec id="s3_4">
<label>3.4</label>
<title>Wave exposure</title>
<p>Exposure exceeding the wave thresholds was common from July &#x2013; August 2021 (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref>, <xref ref-type="table" rid="T1">
<bold>Tables&#xa0;1</bold>
</xref>, <xref ref-type="table" rid="T2">
<bold>2</bold>
</xref>). Transplant site exposure percentages above the <italic>H<sub>rms</sub>
</italic> threshold were DW (6.82%), RC (0%), and MC (2.27%), while exposure percentages above the <italic>U<sub>rms</sub>
</italic> threshold were DW (86.36%), RC (13.64%), and MC (36.36%). The longest continual exposure period above the <italic>U<sub>rms</sub>
</italic> threshold for the sites were 28, 3, and 8 days for DW, RC and MC respectively. Over the July &#x2013; August 2021 deployment (n = 44 days), DW exhibited significantly different <italic>H<sub>rms</sub>
</italic> values from RC and from MC (p &lt; 0.05), while RC and MC were not significantly different (p&#xa0;= 0.22). The <italic>U<sub>rms</sub>
</italic> data were significantly different from one another for all sites (p &lt; 0.05).</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Wave characterization, with <italic>H</italic>
<sub>rms</sub> <bold>(A)</bold> and <italic>U</italic>
<sub>rms</sub> <bold>(B)</bold>, exposure timeseries at the three transplant sites: Dockweiler (DW), Redondo Canyon (RC), and Malaga Cove (MC) and two donor beds Palisades (PAL) and East End (EE). Deployments spanned from July &#x2013; August 2021 (n = 44 days), September &#x2013; December 2021 and February &#x2013; June 2022 (n = 195 days). Note, July &#x2013; August 2021 sensors were only deployed at transplant sites, and Dockweiler was excluded from the subsequent two deployments while donor beds were added. Solid black line represents daily mean wave data timeseries, while dotted blue line represents site average across the span of the timeseries. Red horizontal line represents Hrms threshold of 0.59 m, and <italic>U</italic>
<sub>rms</sub> threshold of 0.1 m s<sup>-1</sup>. <italic>H</italic>
<sub>rms</sub> site average &#xb1; SD in m: DW (0.45 &#xb1; 0.08), RC (0.48 &#xb1; 0.20), MC (0.50 &#xb1; 0.18), PAL (0.37 &#xb1; 0.09), and EE (0.38 &#xb1; 0.10). <italic>U</italic>
<sub>rms</sub> site average &#xb1; SD in m s<sup>-1</sup>: DW (0.12 &#xb1; 0.02), RC (0.11 &#xb1; 0.05), MC (0.13 &#xb1; 0.05), PAL (0.09 &#xb1; 0.03), and EE (0.11 &#xb1; 0.03). See <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref> for percent time each site was above threshold values.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-11-1355449-g005.tif"/>
</fig>
<p>Based on early results, DW was excluded from the subsequent two deployments, opting rather to monitor better performing transplant sites (RC and MC) and donor bed sites (PAL and EE) concurrently. RC, MC, PAL, and EE had continuous <italic>in situ</italic> wave characterizations from September &#x2013; December 2021 and February &#x2013; June 2022. These two deployments were aggregated for analysis (n = 185 days). Again, it is evident that transplant sites were exposed to higher degrees of <italic>H<sub>rms</sub>
</italic> and <italic>U<sub>rms</sub>
</italic> values and for longer durations than donor bed sites (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref>, <xref ref-type="table" rid="T1">
<bold>Tables&#xa0;1</bold>
</xref>, <xref ref-type="table" rid="T2">
<bold>2</bold>
</xref>). Site exposure percentages above the <italic>H<sub>rms</sub>
</italic> threshold were RC (28.50%), MC (31.09%), PAL (2.56%), and EE (2.56%), while exposure percentages above the <italic>U<sub>rms</sub>
</italic> threshold were RC (58.55%), MC (83.42%), PAL (34.36%), and EE (55.90%). The highest daily mean <italic>H<sub>rms</sub>
</italic> and <italic>U<sub>rms</sub>
</italic> values recorded at the transplant sites were 1.46 m and 0.34 m s<sup>-1</sup>, while the values at the donor beds were 0.71 m and 0.21 m s<sup>-1</sup>. <italic>H<sub>rms</sub>
</italic> values at the transplant sites MC and RC were significantly different (p = 0.05), but donor bed sites PAL and EE were not significantly different from one another (p = 0.44). All <italic>H<sub>rms</sub>
</italic> comparisons between transplant sites and donor bed sites were significantly different (p &lt; 0.05). The <italic>U<sub>rms</sub>
</italic> data shows that RC and EE were not significantly different (p = 0.09), though all other site comparisons were significantly different from one another (p &lt; 0.05).</p>
</sec>
<sec id="s3_5">
<label>3.5</label>
<title>Photosynthetically active radiation exposure</title>
<p>PAR exposure below the 3 mol m<sup>-2</sup> day<sup>-1</sup> growth limited, non-survival threshold, as well as exposure (or lack thereof) above the upper survival-supportive threshold of 5 mol m<sup>-2</sup> day<sup>-1</sup> was prevalent during the project period (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6</bold>
</xref>, <xref ref-type="table" rid="T1">
<bold>Tables&#xa0;1</bold>
</xref>, <xref ref-type="table" rid="T2">
<bold>2</bold>
</xref>). Exposure below the growth limited, non-survival threshold is especially prevalent in the late fall and winter months. Transplant site exposure percentages below 3 mol m<sup>-2</sup> day<sup>-1</sup> were DW (96.13%), RC (91.85%), and MC (87.44%) and exhibited greater exposure times than the donor bed sites PAL (62.72%) and EE (47.43%). The longest continual exposure period below the non-survival supportive threshold for the sites were 141, 203, 100, 56, and 75 days for DW, RC, MC, PAL, and EE respectively. Donor bed sites PAL (21.01%) and EE (31.44%) experienced sustained exposure in exceedance of the 5 mol m<sup>-2</sup> day<sup>-1</sup>, while MC only had 0.93% and both DW and RC had zero exposure above the survival-supportive threshold. The two donor bed sites each spent considerable time from spring through fall (June 2022 &#x2013; October 2023) above the survival-supportive threshold (12-day continual exposure at PAL and 29-day continual exposure at EE) and both sites rarely dip below the growth limited, non-survival threshold. The highest daily integrated PAR value recorded at the transplant sites was 6.10 mol m<sup>-2</sup> day<sup>-1</sup> while the highest value at the donor beds was 11.56 mol m<sup>-2</sup> day<sup>-1</sup>. Over the timeseries from July 2022 &#x2013; January 2023 (n = 159 days), DW was significantly different from all other transplant and donor bed sites (p &lt; 0.05), while RC and MC were not significantly different from each other (p = 0.88) but were significantly different from the donor bed sites (p &lt; 0.05). Donor bed sites were not significantly different from each other (p = 0.18).</p>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>Photosynthetically active radiation (PAR) <bold>(A)</bold> and dissolved oxygen (DO) <bold>(B)</bold> exposure timeseries across all transplant and donor sites from May 2022 &#x2013; June 2023. Solid black line represents integrated daily PAR and mean daily DO timeseries. Dotted blue line represents site average. Red horizontal line represents thresholds. For PAR: non-survival threshold of 3 mol m<sup>-2</sup> day<sup>-1</sup>; green dashed line survival-supportive threshold of 5 mol m<sup>-2</sup> day<sup>-1</sup>. For DO: tissue degradation threshold of 3 mg O<sub>2</sub> L-1. Gaps in data correspond to sensor malfunctions. Dockweiler, Redondo Canyon, and Malaga Cove are transplant sites. Palisades and East End are donor beds. Site average &#xb1; SD for PAR in mol m-2 day-1: DW (0.87 &#xb1; 0.92), RC (1.44 &#xb1; 1.00), MC (1.78 &#xb1; 1.09), PAL (3.02 &#xb1; 2.51), and EE (4.01 &#xb1; 2.88). Site average &#xb1; SD for DO in mg O<sub>2</sub> L-1: DW (5.77 &#xb1; 2.95), RC (7.34 &#xb1; 1.04), MC (6.19 &#xb1; 2.30), PAL (8.13 &#xb1; 0.37), and EE (7.76 &#xb1; 0.55). See <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref> for percent time each site was exposed for each threshold.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-11-1355449-g006.tif"/>
</fig>
</sec>
<sec id="s3_6">
<label>3.6</label>
<title>Dissolved oxygen exposure</title>
<p>DO exposure below the 3 mg O<sub>2</sub> L<sup>-1</sup> tissue degradation threshold occurred (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6</bold>
</xref>, <xref ref-type="table" rid="T1">
<bold>Tables&#xa0;1</bold>
</xref>, <xref ref-type="table" rid="T2">
<bold>2</bold>
</xref>). Transplant site exposure percentages below 3 mg O<sub>2</sub> L<sup>-1</sup> were DW (23.20%), RC (1.11%), and MC (15.35%) and exhibited consequential exposure times compared to the donor bed sites PAL (0%) and EE (0%). The longest continual exposure period below the tissue degradation threshold for the sites were 24, 3, and 14 days for DW, RC and MC respectively, while PAL and EE experienced zero exposure periods. The lowest daily mean DO value recorded at the transplant sites was 0.01 mg O<sub>2</sub> L<sup>-1</sup> while the lowest value at the donor beds was 6.24 mg O<sub>2</sub> L<sup>-1</sup>. A DO timeseries from September 2022 &#x2013; January 2023 (n = 102 days), indicated transplant sites were not significantly different from one another (DW &#x2013; RC p = 0.48; DW &#x2013; MC p = 0.33; RC &#x2013; MC p = 0.11). Likewise, the oxygen exposure at donor beds were not significantly different (p = 0.05). All comparisons between transplant sites and donor bed sites were significantly different (p &lt; 0.05).</p>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<sec id="s4_1">
<label>4.1</label>
<title>Evaluation of transplant success</title>
<p>This study conducted the first ever mainland <italic>Zostera pacifica</italic> transplant, with methods and results that can allow for further technique development of <italic>Z. pacifica</italic> restoration in the Southern California Bight (SCB). From the <italic>in situ</italic> biophysical monitoring, this study has developed clear linkages pertaining to <italic>Z. pacifica</italic> environmental constrains, enabling advancements in site selection procedures that may serve as a model for open coast seagrass restoration. At all three sites the majority of transplants initially established, and at two sites, experienced evidence of growth and expansion. However, beyond 315 days there was complete mortality at the coastal transplant sites, most likely due to predominantly unfavorable environmental conditions associated with high wave exposure, low light, and periods of hypoxia. Thus, in the most conspicuous definition of success, or even that from the NOAA California Eelgrass Mitigation Policy (CEMP) (2014) criteria requiring 85% areal coverage two years post transplanting, the transplants were not successful. Transplanting and restoring seagrass beds is notably difficult, and quantification of seagrass transplant performance is far more nuanced and complex than simply considering total survival as the sole metric for success. Contextualizing, in a meta-analysis of 82 seagrass restoration projects on the West Coast of the U.S., 32 &#x2013; 60% of projects were unsuccessful (<xref ref-type="bibr" rid="B158">Ward and Beheshti, 2023</xref>), yet &#x2018;unsuccessful&#x2019; projects certainly can still contribute to advancing methods in restoration science (<xref ref-type="bibr" rid="B170">Zhang et&#xa0;al., 2021</xref>). As such, other metrics beyond survivorship (i.e., ecosystem services) should also be considered in the evaluation of transplant success (<xref ref-type="bibr" rid="B158">Ward and Beheshti, 2023</xref>).</p>
<p>The assessment of ecosystem services (fish community dynamics, carbon stocks, turbidity, etc.) in restored sites compared to donor beds, can serve as valuable performance metrics and motivations for larger scale restoration projects (<xref ref-type="bibr" rid="B109">Orth et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B80">Lange et&#xa0;al., 2022</xref>). <italic>Zostera</italic> spp. (eelgrass) beds have high fish biomass and diversity compared to unvegetated sediments (<xref ref-type="bibr" rid="B39">Duffy, 2006</xref>), and fish biomass can be a useful comparative metric between transplant and donor beds (<xref ref-type="bibr" rid="B9">Beheshti et&#xa0;al., 2022</xref>). Utilizing fish surveys adapted from <xref ref-type="bibr" rid="B102">Obaza et&#xa0;al. (2022)</xref>, dissimilarity in fish communities is evident between transplant sites and donor bed sites (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>). The small amount of low-density eelgrass followed by bare soft-bottom in the transplant sites as compared with extensive <italic>Z. pacifica</italic> donor beds on Catalina Island is likely the driving factor in fish assemblage differences (<xref ref-type="bibr" rid="B118">Pihl et&#xa0;al., 2006</xref>). Older aged, structured seagrass habitat offers more robust ecosystem function (i.e., fish diversity) compared to younger aged seagrass beds (i.e., transplant sites) (<xref ref-type="bibr" rid="B91">McGlathery et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B109">Orth et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B60">Hardison et&#xa0;al., 2023</xref>). The species more commonly encountered at transplant sites were flatfish, as would be expected on soft-bottom habitats in the region (<xref ref-type="bibr" rid="B26">Craig et&#xa0;al., 2004</xref>; <xref ref-type="bibr" rid="B105">O&#x2019;Leary et&#xa0;al., 2021</xref>), while those more regularly recorded at donor bed sites are usual inhabitants of open coast <italic>Z. pacifica</italic> (<xref ref-type="bibr" rid="B102">Obaza et&#xa0;al., 2022</xref>). Fish surveys associated with this project quantitatively support the conclusion that the eelgrass transplants did not create meaningful structure for nearshore fishes, nor restore that ecosystem function, during the study period.</p>
<p>The only other known <italic>Z. pacifica</italic> transplant occurred in 2002 at a sheltered cove off Anacapa Island where 450 shoots were transplanted to an area of 300 m<sup>-2</sup> and resulted in a successful and stable <italic>Z. pacifica</italic> population on the island (<xref ref-type="bibr" rid="B4">Altstatt et&#xa0;al., 2014</xref>). Over 95% mortality was recorded on day 155 in that study, suggesting early mortality may be the norm, even in successful efforts. <xref ref-type="bibr" rid="B4">Altstatt et&#xa0;al. (2014)</xref> provides context to our study&#x2019;s ~30% survivorship on day 197 at Malaga Cove (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>) and illustrates the benefit of this effort &#x2013; affirming the present study represents an advancement on prior restoration efforts for <italic>Z. pacifica</italic>. Studies of open coast seagrass restoration conducted elsewhere globally report similar findings to those in this study, as open coast environments are inherently dynamic, leading to higher degrees of initial transplant mortality (<xref ref-type="bibr" rid="B116">Paulo et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B162">Wegoro et&#xa0;al., 2022</xref>).</p>
<p>This project highlights insight into the efficacy of exposed mainland coast transplanting methodology, with initial survival differences of the single shoot method over the bundle shoot method (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>). In the exposed mainland coast environment, transplants can be subject to periods of intense wave action and high near bottom velocity (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref>; <xref ref-type="bibr" rid="B154">van Katwijk et&#xa0;al., 2009</xref>), where the smaller profile single shoots may induce less drag and thus, experience reduced impact compared to bundle shoots (<xref ref-type="bibr" rid="B108">Orth et&#xa0;al., 1999</xref>). These insights may contribute to future transplanting efforts, as the bundle shoot method requires a greater degree of harvest investment compared to the single shoot method. Focusing transplanting efforts on the single shoot method allows for a redistribution of the harvest material, spreading the transplanting risk across a greater area and number of &#x2018;planting units&#x2019; (<xref ref-type="bibr" rid="B107">Orth et&#xa0;al., 2006</xref>; <xref ref-type="bibr" rid="B154">van Katwijk et&#xa0;al., 2009</xref>). The results of this study, in concert with findings from <xref ref-type="bibr" rid="B4">Altstatt et&#xa0;al. (2014)</xref>, reaffirm that methodological approach is critical (<xref ref-type="bibr" rid="B48">Fonseca et&#xa0;al., 1998</xref>), as the single shoot method is linked to higher survivorship along exposed coastlines in the SCB. However, during the harvesting and transplanting process, the donor material experiences stress (<xref ref-type="bibr" rid="B80">Lange et&#xa0;al., 2022</xref>), catalyzing initial mortality or decreased function. Therefore, future studies on the open coast should aim to gauge the effects of transplanting stress and methodology on survival by also transplanting back into donor beds. These efforts may further disentangle the efficacy of transplant methodologies in the absence of environmental conditions that vary from those experienced at the natal donor beds.</p>
</sec>
<sec id="s4_2">
<label>4.2</label>
<title>Causative factors of transplant mortality</title>
<p>Stochastic events are prevalent in seagrass beds and can result in adverse transplant performance (<xref ref-type="bibr" rid="B80">Lange et&#xa0;al., 2022</xref>). Unpredictable deleterious singular events may have influenced transplant performance, as numerous acute events occurred across transplant sites. The Dockweiler transplant site is located ~2km from the largest wastewater treatment facility in Los Angeles, and from July 2021 &#x2013; May 2022, 60 effluent limit violations occurred because of an unprecedented &gt; 12-million-gallon raw sewage discharge from a pipe 1.6 km offshore, resulting in numerous algal blooms (<xref ref-type="bibr" rid="B81">LA Water Board, 2023</xref>). A large body of literature speaks to the negative impacts of eutrophication on seagrasses (<xref ref-type="bibr" rid="B15">Burkholder et&#xa0;al., 2007</xref>; <xref ref-type="bibr" rid="B65">Hughes et&#xa0;al., 2013</xref>). Further, during a post-transplanting survey at Redondo Canyon, located at the head of an active submarine canyon, divers observed macroalgae detritus engulfing transplant units. Macroalgae inundation is known to decrease health and survival of <italic>Zostera</italic> spp. by altering light regimes and decreasing photosynthetic capabilities (<xref ref-type="bibr" rid="B66">Huntington and Boyer, 2008</xref>), a factor that likely contributed to declines in transplanted <italic>Z. pacifica</italic> survivorship. The pairing of high wave characterizations (<italic>H<sub>rms</sub>
</italic> and <italic>U<sub>rms</sub>
</italic> values) and macroalgae inundation at the Redondo Canyon site may have contributed to physical damage &#x2013; a concept further supported by diver observations of dislodged transplanting units. Hydrodynamical forces and nutrient regimes can negatively impact the biomechanical properties (i.e., shoot strength, elasticity) of seagrasses (<xref ref-type="bibr" rid="B115">Patterson et&#xa0;al., 2001</xref>; <xref ref-type="bibr" rid="B79">La Nafie et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B129">Risandi et&#xa0;al., 2023</xref>), and it is likely that the hydrodynamic conditions and acute eutrophication events impacted the transplant sites, though the quantification of biomechanical properties is outside the scope of this study.</p>
<p>The biophysical characterizations reveal a more compelling and consistent case for deleterious site conditions, as a mosaic of unsuitable environmental conditions occurred at transplant sites. And while biologic controls are undoubtably important to seagrass systems, regionally along the West Coast of the USA, physical drivers are principally responsible for eelgrass transplant success or decline (<xref ref-type="bibr" rid="B158">Ward and Beheshti, 2023</xref>). Yet surprisingly, many <italic>Zostera</italic> spp. restoration projects that offer suspected reasons for transplant success or failure lack quantitative <italic>in situ</italic> environmental data, instead relying on observational data to infer physical drivers (<xref ref-type="bibr" rid="B158">Ward and Beheshti, 2023</xref>). In this study, generally, PAR, DO, and temperature were lower, and wave dynamics (<italic>H<sub>rms</sub>
</italic> and <italic>U<sub>rms</sub>
</italic>) higher in transplanted sites compared to donor bed sites (<xref ref-type="fig" rid="f4">
<bold>Figures&#xa0;4</bold>
</xref>&#x2013;<xref ref-type="fig" rid="f6">
<bold>6</bold>
</xref>). Indeed, empirical cumulative distribution function (eCDF) curves of transplant sites compared to donor beds depict a pronounced decoupling between transplant and donor bed sites and show only partial overlap, confirming that conditions at transplanting locations were inapt for <italic>Z. pacifica</italic> long-term survival (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7</bold>
</xref>; e.g., <xref ref-type="bibr" rid="B9">Beheshti et&#xa0;al., 2022</xref>). The transplant study approach herein showcases an avenue to discretely monitor <italic>in situ</italic> data and quantify known physical controls on seagrass habitat function.</p>
<fig id="f7" position="float">
<label>Figure&#xa0;7</label>
<caption>
<p>Empirical cumulative distribution function (eCDF) curves for <bold>(A)</bold> photosynthetically active radiation (mol m<sup>-2</sup> day<sup>-1</sup>), <bold>(B)</bold> dissolved oxygen (mg O<sub>2</sub> L<sup>-1</sup>), and <bold>(C)</bold> temperature (&#xb0;C) at transplant and donor sites. Plotted PAR values are daily integrated data, while DO and temperature values are mean daily data. The intersection between eCDF and the horizontal blue dashed line represents median (50%) value at each site. Dockweiler, Redondo Canyon, and Malaga Cove are transplant sites. Palisades and East End are donor beds.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-11-1355449-g007.tif"/>
</fig>
<p>Minimum colonization depth is often restrained by wave orbital velocity and large wave exposure directly correlates with transplant mortality (<xref ref-type="bibr" rid="B13">Bos and van Katwijk, 2007</xref>; <xref ref-type="bibr" rid="B29">de Boer, 2007</xref>). Wave characterizations were of paramount importance for transplanting on the exposed mainland coast of the SCB. Inter-site comparisons amongst solely transplant sites from initial nascent stages of the transplant revealed disparities between sites, namely at Dockweiler where exceedances of threshold values corresponded with large drops in survivorship (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref>). Coupling survivorship and wave characterizations allow for insights to be gleaned, as periods of similar <italic>H<sub>rms</sub>
</italic> and <italic>U<sub>rms</sub>
</italic> values at transplant and donor bed sites reveal stabilization in survivorship (September &#x2013; October 2021), while deviations above threshold values (November 2021 &#x2013; June 2022) correspond with transplant mortality (<xref ref-type="fig" rid="f2">
<bold>Figures&#xa0;2</bold>
</xref>, <xref ref-type="fig" rid="f5">
<bold>5</bold>
</xref>). The paucity of wave characterization for exposed mainland coast seagrass beds makes quantitative comparisons challenging. <xref ref-type="bibr" rid="B58">Hansen and Reidenbach (2012)</xref> investigated significant wave heights in extant <italic>Z. marina</italic> beds, finding maximum values around 0.18 m &#x2013; far smaller wave heights than those values reported from extant beds in this study. Further, the wave characterizations of our study are conceptually supported by <xref ref-type="bibr" rid="B59">Hansen and Reidenbach (2013)</xref>, who investigated near bottom wave velocity inside and outside <italic>Z.&#xa0;marina</italic> beds in lower Chesapeake Bay, finding flows to be significantly higher in the unvegetated site (0.09 m s<sup>-1</sup>) than within the seagrass site (0.026 m s<sup>-1</sup>). Additional studies have found, while uncommon in extant beds, maximum velocities of 0.5 m s<sup>-1</sup> were incurred for brief periods by <italic>Z. marina</italic> (<xref ref-type="bibr" rid="B49">Fonseca et&#xa0;al., 1983</xref>; <xref ref-type="bibr" rid="B75">Koch, 2001</xref>). Though perhaps the most supportive of our results comes from a study conducted on survival of two western Mediterranean seagrasses at water depths of 12 and 18 m, concluding that near-bottom velocities tolerated were between 0.18 &#x2013; 0.39 m s<sup>-1</sup> (<xref ref-type="bibr" rid="B67">Infantes et&#xa0;al., 2011</xref>). These depths and velocities more aptly compare to those experienced in an exposed mainland coastal shelf environment occupied by <italic>Z. pacifica</italic>, evidencing that this species inhabits areas with sustained exposure above values typically tolerated by <italic>Z. marina</italic>, and other seagrasses, in protected environments.</p>
<p>Light availability constrains seagrass growth at the deep edge of the bed, but sufficient quantities are required to maintain health throughout the entirety of the local distribution (<xref ref-type="bibr" rid="B32">Drew, 1979</xref>; <xref ref-type="bibr" rid="B30">Dennison, 1987</xref>; <xref ref-type="bibr" rid="B37">Duarte et&#xa0;al., 2007</xref>). Based on the adapted non-survival light threshold from <xref ref-type="bibr" rid="B146">Thom et&#xa0;al. (2008)</xref>, transplant sites did not receive sufficient light to satisfy growth requirements. The values (&lt; 3 mol m<sup>-2</sup> day<sup>-1</sup>) experienced at the transplant sites, and the ensuing mortality, are supported by results from a field study that found drastic mortality in <italic>Z. marina</italic> transplants exposed to PAR below 3 mol m<sup>-2</sup> day<sup>-1</sup> (<xref ref-type="bibr" rid="B97">Moore et&#xa0;al., 1997</xref>), as well as by a meta-analysis reporting similar deleterious impacts of values below the established PAR threshold (<xref ref-type="bibr" rid="B40">Dunic and C&#xf4;t&#xe9;, 2023</xref>). Our study also shows that the donor bed sites average below those thresholds from November 2022 &#x2013; April 2023 and did not induce mortality. During light limiting conditions, <italic>Zostera</italic> spp. can facilitate survival through the metabolization of carbohydrates (sugar and starch content) stored in the rhizomes and leaves (<xref ref-type="bibr" rid="B173">Zimmerman et&#xa0;al., 1995</xref>; <xref ref-type="bibr" rid="B14">Burke et&#xa0;al., 1996</xref>; <xref ref-type="bibr" rid="B124">Ralph et&#xa0;al., 2007</xref>; <xref ref-type="bibr" rid="B156">Vichkovitten et&#xa0;al., 2007</xref>; <xref ref-type="bibr" rid="B11">Bertelli and Unsworth, 2018</xref>). Research from Baja, Mexico supports this notion that carbohydrate reserves allow <italic>Zostera</italic> spp. to survive in short-term adverse light conditions but noted that mortality occurred when carbohydrate reserves decreased ~85% following three weeks of nearly zero PAR values (<xref ref-type="bibr" rid="B16">Cabello-Pasini et&#xa0;al., 2002</xref>). It follows then that lower light limits are not binary, rather eelgrass light requirements are nuanced, requiring sufficient light during growing seasons to build carbohydrate reserves needed to draw down during light limiting conditions encountered when irradiance levels are naturally lower (i.e., winter months) (<xref ref-type="bibr" rid="B54">Govers et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B167">Wong et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B168">Wong et&#xa0;al., 2021</xref>). The donor bed sites in our study did not experience near zero PAR conditions for an extended duration and did receive sufficient growing season light levels, and thus, <italic>Z. pacifica</italic> at these sites were likely able to draw on ample reserves to survive during brief light limiting conditions. Further, while acclimatization of transplanted <italic>Z. marina</italic> is documented (<xref ref-type="bibr" rid="B78">Krumhansl et&#xa0;al., 2021</xref>), the ability to build carbohydrate reserves is diminished under 3 mol m<sup>-2</sup> day<sup>-1</sup> light regimes (<xref ref-type="bibr" rid="B46">Eriander, 2017</xref>). The transplant sites in our study may have adapted to a new light regime initially, but when PAR values were reduced to ~ 0 mol m<sup>-2</sup> day<sup>-1</sup> for extended periods of time, an insufficient carbohydrate storage likely prevented survival in these adverse light conditions.</p>
<p>Low DO values impact <italic>Z. marina</italic> growth and can accelerate mortality (<xref ref-type="bibr" rid="B63">Holmer and Bondgaard, 2001</xref>). Hypoxic values (&lt; 2 mg O<sub>2</sub> L<sup>-1</sup>) and values nearing anoxia (&lt; 0.01 mg O<sub>2</sub> L<sup>-1</sup>) are confirmed in other systems containing submerged aquatic vegetation (<xref ref-type="bibr" rid="B143">Tassone et&#xa0;al., 2022</xref>). DO values in donor bed sites did not drop below 6.24 mg O<sub>2</sub> L<sup>-1</sup>, but transplant sites, primarily Dockweiler and Malaga Cove, underwent multiple periods of extended hypoxia, and at Dockweiler, even values approaching anoxia (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6</bold>
</xref>). Low dissolved oxygen concentrations are reported as contributors of <italic>Zostera</italic> decline in other systems in the USA, such as the lower Chesapeake Bay (<xref ref-type="bibr" rid="B95">Moore and Jarvis, 2008</xref>), an Oregon estuary (<xref ref-type="bibr" rid="B87">Magel et&#xa0;al., 2023</xref>), and two separate California estuaries (<xref ref-type="bibr" rid="B157">Walter et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B9">Beheshti et&#xa0;al., 2022</xref>). A buildup in concentration of sulfides in the rhizome can occur during periods of hypoxia (<xref ref-type="bibr" rid="B53">Goodman et&#xa0;al., 1995</xref>), and may have significantly impacted transplant performance, though a quantification of sediment composition in our study is absent. The rapid impact of low DO can manifest in 12 hours and increases with duration, with absolute mortality occurring with anoxic exposure for 36 hours (<xref ref-type="bibr" rid="B123">Pulido and Borum, 2010</xref>; <xref ref-type="bibr" rid="B126">Raun and Borum, 2013</xref>). Continuous hypoxic conditions for 24 days at Dockweiler and 14 days at Malaga Cove is a salient contributor to transplant failure.</p>
<p>Heat stress induced mortality, decreased photosynthetic efficiency, or reduced growth rate, are common occurrences amongst <italic>Zostera</italic> spp. (<xref ref-type="bibr" rid="B96">Moore et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B57">Hammer et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B131">Serrano et&#xa0;al., 2021</xref>). Our study shows that temperature stress at the transplant sites was not a key variable influencing transplant site performance, as extant <italic>Z. pacifica</italic> donor beds experienced higher overall temperatures and for longer periods of time. The limited temperature threshold exposure in our study is supported by data taken in the proximity of a <italic>Z. pacifica</italic> bed off Santa Cruz Island, California (<xref ref-type="bibr" rid="B73">Kapsenberg and Hofmann, 2016</xref>), highlighting that extant open coast <italic>Zostera</italic> spp. proliferate within the range of temperatures reported in our study. Climate change models predict warming ocean temperatures will impact seagrasses (<xref ref-type="bibr" rid="B18">Carr et&#xa0;al., 2012</xref>), though the extant <italic>Z. pacifica</italic> beds in our study do not appear to be growing near their physiological temperature tolerances and may be less exposed to climate change related temperature stress compared to other temperate foundational species (i.e., <italic>Macrocystis pyrifera</italic>, see <xref ref-type="bibr" rid="B21">Cavanaugh et&#xa0;al., 2019</xref> and <xref ref-type="bibr" rid="B83">Leichter et&#xa0;al., 2023</xref>). Yet, <italic>Zostera</italic> spp. are susceptible to both pulse extreme heat events and episodic heat exposure which can alter local resilience to additional stressors (<xref ref-type="bibr" rid="B38">DuBois et&#xa0;al., 2022</xref>), therefore it follows that the increasing magnitude, frequency, and duration of episodic events (i.e., ENSO) may coincide with baseline climatic warming to induce deleterious impacts on seagrasses in the SCB (<xref ref-type="bibr" rid="B72">Johnson et&#xa0;al., 2003</xref>; <xref ref-type="bibr" rid="B41">Echavarria-Heras et&#xa0;al., 2006</xref>).</p>
<p>An amalgamation of synergistic stressors, whether short-term stochastic or chronic, ultimately resulted in conditions unfavorable for <italic>Z. pacifica</italic> proliferation at transplant sites. While the survivorship of this project initially performed better than the Anacapa Island transplant conducted by <xref ref-type="bibr" rid="B4">Altstatt et&#xa0;al. (2014)</xref>, fundamentally, the hydrodynamic data in our study from November 2021 &#x2013; June 2022, coupled with water quality data from Spring 2022 &#x2013; Spring 2023 portray an unambiguous unsuitability for long-term <italic>Z. pacifica</italic> survival at these sites. In opposition, the Anacapa transplant site characteristics proved hospitable for <italic>Z. pacifica</italic> expansion following a reduction in grazers responsible for the initial mortality (<xref ref-type="bibr" rid="B4">Altstatt et&#xa0;al., 2014</xref>). The present study represents the first quantification of physical parameters within <italic>Z. pacifica</italic> beds on the open coast, distinguishing from the less turbulent conditions of shallow, protected, estuarine <italic>Z. marina</italic> habitat.</p>
</sec>
</sec>
<sec id="s5" sec-type="conclusions">
<label>5</label>
<title>Conclusion</title>
<p>These data mark a preludial effort to establish <italic>in situ</italic> tolerances and responses for open coast temperate seagrasses along California, and reaffirms the importance of site selection, noting that for hydrodynamically exposed regions, it may be the cynosure factor for transplant consideration, and necessitate discrete pre-transplant environmental sampling efforts. Though the transplant sites in this study did not exhibit sustained survival, as much of the nearshore coastal shelf environment within the SCB consists of the requisite substrate necessitated for <italic>Z. pacifica</italic>, the establishment of a transplanting regime could be of regional significance given the ecological and &#x2018;blue carbon&#x2019; benefits of seagrass restoration (<xref ref-type="bibr" rid="B122">Postlethwaite et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B80">Lange et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B132">Shayka et&#xa0;al., 2023</xref>).</p>
<p>Considering the results of this study, merged with a current scarcity of environmental time-series data from <italic>Z. pacifica</italic> beds, we strongly encourage further research, both <italic>ex situ</italic> and <italic>in situ</italic>, on <italic>Z. pacifica.</italic> Building upon the physical and biological monitoring conducted in this study can spur the expansion of monitoring efforts to other <italic>Z. pacifica</italic> beds in the region, beds that persist on the mainland (as opposed to offshore islands such as the donor beds in this study), which may illuminate ranges of biophysical metrics that more closely reflect transplant site conditions. To facilitate greater efficacy of open coast restoration, a balance must be struck between conservative resource management policies and allocating adequate donor material to overcome critical thresholds of population density needed to induce positive feedback loops and reduce transplant risk on the open coast (<xref ref-type="bibr" rid="B1">Adams et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B139">Suykerbuyk et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B155">van Katwijk et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B116">Paulo et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B109">Orth et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B152">Valdez et&#xa0;al., 2020</xref>). Investigating the use of artificial seagrass structures to baffle strong hydrodynamic conditions (<xref ref-type="bibr" rid="B20">Carus et&#xa0;al., 2022</xref>) may reveal applied benefits for transplanting on the open coast. Burgeoning research indicates utilizing seeds may be a preferred restoration approach (<xref ref-type="bibr" rid="B109">Orth et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B55">Gr&#xe4;fnings et&#xa0;al., 2023</xref>), and has garnered success in high-energy sites (<xref ref-type="bibr" rid="B149">Unsworth et&#xa0;al., 2019</xref>), making it a technique worth investigating along the open coast of California.</p>
<p>Ultimately, the further elucidation of the realized niche <italic>Z. pacifica</italic> inhabits will provide essential information for more targeted open coast site selection and scalable restoration in the SCB. Species-specific research may disentangle long-held assumptions based on shallow protected <italic>Z. marina</italic> habitat, and provide clarity to seagrass resiliency in the region, particularly relevant in the face of climate change and episodic climactic events (i.e., ENSO) which have pervasive impacts on the Pacific Coast of North America (<xref ref-type="bibr" rid="B144">Tegner and Dayton, 1987</xref>; <xref ref-type="bibr" rid="B22">Chavez et&#xa0;al., 2002</xref>; <xref ref-type="bibr" rid="B52">Fumo et&#xa0;al., 2020</xref>). Teasing apart fish community dynamics, species-specific ecosystem services, distributional patterns, and threshold tolerances are fundamental to a holistic comprehension for academics, resource managers, and restoration practitioners alike.</p>
</sec>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>RS: Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Supervision, Visualization, Writing &#x2013; original draft, Validation, Writing &#x2013; review &amp; editing, Software. AO: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Visualization, Writing &#x2013; review &amp; editing, Resources, Supervision, Validation. BG: Conceptualization, Data curation, Investigation, Methodology, Writing &#x2013; review &amp; editing. ML: Data curation, Formal analysis, Visualization, Writing &#x2013; review &amp; editing, Software, Validation. LM: Formal analysis, Investigation, Methodology, Resources, Software, Supervision, Writing &#x2013; review &amp; editing, Validation. KE: Conceptualization, Formal analysis, Investigation, Methodology, Resources, Software, Supervision, Writing &#x2013; review &amp; editing, Data curation, Validation. OC: Conceptualization, Data curation, Investigation, Methodology, Writing &#x2013; review &amp; editing, Resources, Validation. TF: Conceptualization, Funding acquisition, Investigation, Methodology, Project administration, Writing &#x2013; review &amp; editing, Resources. JL: Conceptualization, Formal analysis, Funding acquisition, Investigation, Methodology, Resources, Supervision, Validation, Writing &#x2013; review &amp; editing.</p>
</sec>
</body>
<back>
<sec id="s8" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare financial support was received for the research, authorship, and/or publication of this article. Funding and resources for this study provided to TF by the California Coastal Conservancy (grant no. LALSP SCC 18-077) and Restore America&#x2019;s Estuaries Coastal Watershed Program (grant no. NEPCWG-20-SMBF). Additional support was provided to RS through The Mia Tegner fellowship at Scripps Institution of Oceanography.</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>The authors thank Heather Burdick, Amanda Bird, and Dr. David Ginsburg for assisting with field work and for their continued support of this research. Authors extend their gratitude to Mike Anghera and Dr. David Witting for truly supporting active scientific diving programs. The authors value the partnership with Vantuna Research Group and appreciate their assistance in mapping open coast seagrass beds. Emily Nixon provided critical input on early manuscript drafts.</p>
</ack>
<sec id="s9" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
<p>The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.</p>
</sec>
<sec id="s10" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
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