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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.2024.1513162</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>Multi-decade northward shift of loggerhead sea turtle pelagic habitat as the eastern North Pacific Transition Zone becomes more oligotrophic</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Briscoe</surname>
<given-names>Dana K.</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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<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Crowder</surname>
<given-names>Larry B.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/429896"/>
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<contrib contrib-type="author">
<name>
<surname>Balazs</surname>
<given-names>George H.</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1466655"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Seminoff</surname>
<given-names>Jeffrey A.</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/608975"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Abreu</surname>
<given-names>Alberto</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2333128"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Lee Hing</surname>
<given-names>Catherine A.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1684170"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Kurita</surname>
<given-names>Masanori</given-names>
</name>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Mori</surname>
<given-names>Masanori</given-names>
</name>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Parker</surname>
<given-names>Denise M.</given-names>
</name>
<xref ref-type="aff" rid="aff7">
<sup>7</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Rice</surname>
<given-names>Marc R.</given-names>
</name>
<xref ref-type="aff" rid="aff8">
<sup>8</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Saito</surname>
<given-names>Tomomi</given-names>
</name>
<xref ref-type="aff" rid="aff9">
<sup>9</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Santos</surname>
<given-names>Bianca S.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1923323"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Turner Tomaszewicz</surname>
<given-names>Calandra N.</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1235783"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Yamaguchi</surname>
<given-names>Noah</given-names>
</name>
<xref ref-type="aff" rid="aff9">
<sup>9</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Polovina</surname>
<given-names>Jeffrey J.</given-names>
</name>
<xref ref-type="aff" rid="aff10">
<sup>10</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2901337"/>
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</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Doerr School of Sustainability, Stanford University</institution>, <addr-line>Stanford, CA</addr-line>, <country>United States</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>University of California, Santa Cruz, Institute of Marine Sciences</institution>, <addr-line>Santa Cruz, CA</addr-line>, <country>United States</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Golden Honu Services of Oceania</institution>, <addr-line>Honolulu, HI</addr-line>, <country>United States</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Southwest Fisheries Science Center, National Oceanic and Atmospheric Administration (NOAA)</institution>, <addr-line>La Jolla, CA</addr-line>, <country>United States</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Laboratorio de Gen&#xe9;tica, Unidad Acad&#xe9;mica Mazatl&#xe1;n, Instituto de
Ciencias del Mar y Limnolog&#xed;a, Universidad Nacional, Aut&#xf3;noma de M&#xe9;xico, Mazatl&#xe1;n</institution>, <addr-line>Sinaloa</addr-line>, <country>Mexico</country>
</aff>
<aff id="aff6">
<sup>6</sup>
<institution>Port of Nagoya Public Aquarium</institution>, <addr-line>Nagoya</addr-line>, <country>Japan</country>
</aff>
<aff id="aff7">
<sup>7</sup>
<institution>Golden Honu Services of Oceania</institution>, <addr-line>Newport, OR</addr-line>, <country>United States</country>
</aff>
<aff id="aff8">
<sup>8</sup>
<institution>Hawaii Preparatory Academy</institution>, <addr-line>Kamuela, HI</addr-line>, <country>United States</country>
</aff>
<aff id="aff9">
<sup>9</sup>
<institution>Usa Marine Biological Institute, Kochi University</institution>, <addr-line>Tosa, Kochi</addr-line>, <country>Japan</country>
</aff>
<aff id="aff10">
<sup>10</sup>
<institution>Marine Biology Program, University of Hawaii at Manoa</institution>, <addr-line>Honolulu, HI</addr-line>, <country>United States</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Mariana M. P. B. Fuentes, Florida State University, United States</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Dmitry Lajus, Independent Researcher, Saint Petersburg, Russia</p>
<p>Kristen Marie Hart, United States Geological Survey (USGS), United States</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Dana K. Briscoe, <email xlink:href="mailto:dbriscoe@stanford.edu">dbriscoe@stanford.edu</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>22</day>
<month>01</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>11</volume>
<elocation-id>1513162</elocation-id>
<history>
<date date-type="received">
<day>18</day>
<month>10</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>06</day>
<month>12</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Briscoe, Crowder, Balazs, Seminoff, Abreu, Lee Hing, Kurita, Mori, Parker, Rice, Saito, Santos, Turner Tomaszewicz, Yamaguchi and Polovina</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Briscoe, Crowder, Balazs, Seminoff, Abreu, Lee Hing, Kurita, Mori, Parker, Rice, Saito, Santos, Turner Tomaszewicz, Yamaguchi and Polovina</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 North Pacific Transition Zone (NPTZ) is known as a global marine hotspot for many endangered and commercially significant highly mobile marine species. In the last few decades, the region has undergone unprecedented physical and biological transformations in response to climate variability and change. Although it is anticipated that many highly mobile species will need to adapt and shift their distributions, current predictions have relied on short-term data sets or modeled simulations. This has left a critical gap in our understanding of long-term (decadal or longer) change and species&#x2019; responses within the NPTZ. Here, we integrate nearly 3 decades of satellite tracking data from a climate sentinel, the juvenile North Pacific loggerhead sea turtle (<italic>Caretta caretta</italic>), with concurrent observations of sea surface temperature (SST) and chlorophyll-a concentrations to examine higher trophic level response to climate-induced changes within the eastern bounds of the NPTZ. Between 1997&#x2013;2024, the NPTZ has warmed by 1.6&#xb0;C and experienced an approximately 19% decline in mean surface chlorophyll-a concentration, a proxy for reduced productivity, resulting in a 28% (1.65 million km<sup>2</sup>) increase in total oligotrophic habitat in the eastern NPTZ. Over the same period, the average latitude of loggerhead sea turtle foraging habitat in the NPTZ has shifted northwards by 450&#x2013;600 km. This represents a distributional shift rate of 116&#x2013;200km/decade. In most years both the southern and northern range limits for the loggerhead turtle have shifted northward in tandem, indicating a habitat range shift rather than a range expansion. Our findings reveal significant physical and biological change to the NPTZ over the last quarter century and the first empirical evidence illustrating the substantial spatial response of a highly mobile megafaunal species. As the NPTZ continues to become more oligotrophic, these insights can provide vital information for dynamic conservation and management strategies within this critically important ecosystem.</p>
</abstract>
<kwd-group>
<kwd>North Pacific Ocean</kwd>
<kwd>loggerhead sea turtle</kwd>
<kwd>sea surface temperature</kwd>
<kwd>habitat</kwd>
<kwd>climate change</kwd>
<kwd>Transition Zone</kwd>
</kwd-group>
<contract-sponsor id="cn001">Gordon and Betty Moore Foundation<named-content content-type="fundref-id">10.13039/100000936</named-content>
</contract-sponsor>
<contract-sponsor id="cn002">National Geographic Society<named-content content-type="fundref-id">10.13039/100006363</named-content>
</contract-sponsor>
<counts>
<fig-count count="5"/>
<table-count count="4"/>
<equation-count count="0"/>
<ref-count count="88"/>
<page-count count="13"/>
<word-count count="5847"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Marine Megafauna</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>The North Pacific Ocean is undergoing an unprecedented transformation. Multi-decadal changes in the atmosphere and ocean have resulted in a northward expansion of subtropical gyre waters, a northward shift of the Kuroshio Current Extension current, and a decline in phytoplankton in the North Pacific Transition Zone (NPTZ) (<xref ref-type="bibr" rid="B45">Le et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B87">Yang et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B43">Kawakami et&#xa0;al., 2023</xref>). Against the backdrop of these climate-driven changes, discrete periods of anomalously warm sea surface temperatures known as marine heatwaves (MHWs) have produced some of the most intense warming episodes on record (<xref ref-type="bibr" rid="B34">Hobday et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B54">Oliver et&#xa0;al., 2018</xref>). The accelerated pace of these perturbations has led to profound biological shifts, with cascading effects propagating across the entire marine ecosystem (<xref ref-type="bibr" rid="B75">Smith et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B82">Welch et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B25">Farchadi et&#xa0;al., 2024</xref>; <xref ref-type="bibr" rid="B27">Gomes et&#xa0;al., 2024</xref>).</p>
<p>As a consequence of environmental change, a first response for many pelagic species is a geographic shift in search of favorable thermal and/or foraging habitats (<xref ref-type="bibr" rid="B62">Poloczanska et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B59">Pecl et&#xa0;al., 2017</xref>). The eastern North Pacific is known as a biodiversity hotspot for many highly migratory marine species (<xref ref-type="bibr" rid="B7">Block et&#xa0;al., 2011</xref>), such as tuna and sea turtles (<xref ref-type="bibr" rid="B68">Polovina et&#xa0;al., 2001</xref>), pinnipeds and sea birds (<xref ref-type="bibr" rid="B7">Block et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B19">Clay and Brooke, 2024</xref>), flying squid (<xref ref-type="bibr" rid="B39">Ichii et&#xa0;al., 2009</xref>; <xref ref-type="bibr" rid="B69">Polovina et&#xa0;al., 2017</xref>), sharks, and a variety of other fishes (<xref ref-type="bibr" rid="B12">Brodeur et&#xa0;al., 1999</xref>; <xref ref-type="bibr" rid="B83">Whitney, 2015</xref>). The rapid rate of change within the region has generated great interest as to how many of these species will be forced to adapt or adjust. Given that many of these higher trophic level species serve as &#x201c;climate sentinels&#x201d;, signaling otherwise unobserved shifts to the broader marine ecosystem (<xref ref-type="bibr" rid="B30">Hazen et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B21">Early-Capistr&#xe1;n et&#xa0;al., 2024</xref>), there is now a growing understanding of how North Pacific environmental variability will trigger species redistributions and thermal displacements (<xref ref-type="bibr" rid="B40">Jacox et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B82">Welch et&#xa0;al., 2023</xref>), altered predator-prey relationships (<xref ref-type="bibr" rid="B77">Thorne et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B27">Gomes et&#xa0;al., 2024</xref>) and increase reproductive failures (<xref ref-type="bibr" rid="B33">Hipfner et&#xa0;al., 2020</xref>). By the end of the century, projections have signaled significant, irreversible shifts to core habitats for many ecologically and commercially valuable mobile marine species (<xref ref-type="bibr" rid="B31">Hazen et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B16">Cheung et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B46">Lezama-Ochoa et&#xa0;al., 2024</xref>). As a result, there is substantial concern that ocean warming across the North Pacific will present new challenges and risks to species conservation and fisheries management strategies (<xref ref-type="bibr" rid="B18">Cheung et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B14">Cavole et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B25">Farchadi et&#xa0;al., 2024</xref>), as may be the case in the eastern North Pacific.</p>
<p>To date, most of our knowledge in this context comes from the well-studied California Current System (CCS), owing to the exceptional observational and tracking studies that have originated from this productive eastern boundary system (e.g (<xref ref-type="bibr" rid="B7">Block et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B32">Hazen et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B82">Welch et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B46">Lezama-Ochoa et&#xa0;al., 2024</xref>). These studies have examined the potential impacts to highly migratory species habitats in relation to both short- and long-term ocean warming within the CCS. Farther offshore, the expansion of the low-chlorophyll-a subtropical biome is expected to have significant ecological and economic consequences to many of these same vulnerable species within the region (<xref ref-type="bibr" rid="B44">Kobayashi et&#xa0;al., 2008</xref>; <xref ref-type="bibr" rid="B17">Cheung et&#xa0;al., 2009</xref>; <xref ref-type="bibr" rid="B31">Hazen et&#xa0;al., 2013</xref>). Due to the North Pacific&#x2019;s expansiveness and the lack of observational data at scale, our ability to grasp the adaptive capacity of highly mobile species to recent change within the pelagic realm is less well understood (<xref ref-type="bibr" rid="B35">Holser et&#xa0;al., 2022</xref>).</p>
<p>Spanning the North Pacific, the NPTZ is the key oceanographic boundary between the subarctic and subtropical gyres. It serves as an important juncture for ocean currents, nutrient dynamics, and marine biodiversity. Roughly located between 30&#x2013;32&#xb0;N and 42&#x2013;45&#xb0;N latitudes, it contains the eastward flowing Kuroshio Extension Current west of the dateline which becomes the North Pacific Current east of the dateline. The region is also characterized by many temperatures, chlorophyll-a, salinity fronts, and mesoscale eddies which create areas of high biological productivity that attract highly migratory species previously described. As such, within these productive international waters, the region&#x2019;s fisheries resources are targeted by fleets from many nations.</p>
<p>Previous investigations of species-environment shifts within the NPTZ have relied on short-term animal tracking data to examine seasonal or interannual relationships (e.g <xref ref-type="bibr" rid="B68">Polovina et&#xa0;al., 2001</xref>; <xref ref-type="bibr" rid="B35">Holser et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B19">Clay and Brooke, 2024</xref>). Simulations using climate-scenario models have added to our long-term (i.e., decadal or longer) expectations of how species may acclimate (<xref ref-type="bibr" rid="B31">Hazen et&#xa0;al., 2013</xref>). But forecasting distributional shifts can be challenging, as models may depart from anticipated patterns of range shift or movement, especially if climate-driven change occurs faster than expected (<xref ref-type="bibr" rid="B15">Chen et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B26">Garc&#xed;a Molinos et&#xa0;al., 2016</xref>). Given the multiple lines of evidence that signal biophysical change within the region (<xref ref-type="bibr" rid="B67">Polovina et&#xa0;al., 2008</xref>; <xref ref-type="bibr" rid="B45">Le et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B87">Yang et&#xa0;al., 2020</xref>), our inability to accurately capture long-term ecological response on the order of decades or longer leaves a critical gap in understanding how these species will adapt.</p>
<p>Addressing this gap, juvenile North Pacific loggerhead sea turtles (<italic>Caretta caretta</italic>) offer an excellent study species to monitor ecosystem change within the region. Loggerhead sea turtle populations in the Pacific Ocean are genetically distinct and Japan represents the sole nesting ground for individuals from the North Pacific population (<xref ref-type="bibr" rid="B9">Bowen et&#xa0;al., 1995</xref>). Their long-term dataset of satellite tracking within the North Pacific, spanning several decades (1997&#x2013;2024), represents the most comprehensive population-level datasets of any marine species. Additionally, their affinity to the well-defined oceanographic properties of the North Pacific has been described in detail (<xref ref-type="bibr" rid="B70">Polovina et&#xa0;al., 2000</xref>; <xref ref-type="bibr" rid="B68">Polovina et&#xa0;al., 2001</xref>; <xref ref-type="bibr" rid="B65">Polovina et&#xa0;al., 2004</xref>; <xref ref-type="bibr" rid="B64">Polovina et&#xa0;al., 2006</xref>; <xref ref-type="bibr" rid="B37">Howell et&#xa0;al., 2008</xref>; <xref ref-type="bibr" rid="B44">Kobayashi et&#xa0;al., 2008</xref>; <xref ref-type="bibr" rid="B1">Abecassis et&#xa0;al., 2013</xref>). Decades of research on the species including electronic tagging studies shows that North Pacific loggerheads exhibit a well-established 1,000-km north-south seasonal movement that closely tracks the movement of the Transition Zone Chlorophyll Front (TZCF), a dynamic feature that marks the sharp surface chlorophyll-a gradient between the oligotrophic subtropical waters with surface chlorophyll-a less than 0.2mg/m<sup>3</sup> to the south and the temperate waters with surface chlorophyll-a exceeding 0.2mg/m<sup>3</sup> to the north (<xref ref-type="bibr" rid="B68">Polovina et&#xa0;al., 2001</xref>; <xref ref-type="bibr" rid="B69">Polovina et&#xa0;al., 2017</xref>). Such tracking data has shown that these turtles travel east and west across the NPTZ as they undertake seasonal north-south movements, occupying developmental habitats that span the open ocean and the mid latitudes of the North American coast (<xref ref-type="bibr" rid="B68">Polovina et&#xa0;al., 2001</xref>; <xref ref-type="bibr" rid="B44">Kobayashi et&#xa0;al., 2008</xref>; <xref ref-type="bibr" rid="B10">Briscoe et&#xa0;al., 2016</xref>).</p>
<p>As ectotherms, loggerheads are particularly sensitive to thermal cues, as temperature is one driver of habitat and distribution (<xref ref-type="bibr" rid="B24">Epperly et&#xa0;al., 1995</xref>) while prey abundance is the other (<xref ref-type="bibr" rid="B61">Plotkin et&#xa0;al., 1993</xref>; <xref ref-type="bibr" rid="B57">Parker et&#xa0;al., 2005</xref>; <xref ref-type="bibr" rid="B47">Mariani et&#xa0;al., 2023</xref>). North Pacific loggerhead sea turtles are known to be opportunistic foragers within their oceanic habitats, with a diet consisting of neustonic animals including <italic>Janthina</italic> spp., <italic>Carinara</italic> cithara, <italic>Vella vella</italic>, <italic>Lepas</italic> spp., <italic>Planes</italic> spp., and pyrosomas (see <xref ref-type="bibr" rid="B57">Parker et&#xa0;al., 2005</xref>). Given their sensitivity to ecosystem perturbations, conspicuity as an upper trophic level species, and vulnerable status as an endangered species (<xref ref-type="bibr" rid="B51">NOAA, 2021</xref>), they emerge as potent climate sentinels for gauging the on-going change to the overall structure and function of the NPTZ ecosystem (<xref ref-type="bibr" rid="B76">Sydeman et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B30">Hazen et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B21">Early-Capistr&#xe1;n et&#xa0;al., 2024</xref>). Through the application of our long-term data set, they may also serve as proxies for other highly mobile and protected species that utilize the region but are difficult to track.</p>
<p>This study combines almost 3 decades of loggerhead sea turtle data with concurrent ocean observations to investigate higher trophic level response to environmental change within the NPTZ. We first identify temporal trends in SST and chlorophyll-a within the eastern NPTZ. We then characterize the animals&#x2019; response to these changing ocean conditions. Our results identify a significant change to the NPTZ and thus latitudinal location of turtle habitat in the last quarter century and provide the first empirical evidence of important multi-decadal trends within the NPTZ.</p>
</sec>
<sec id="s2">
<title>Methods</title>
<sec id="s2_1">
<title>Environmental data collection</title>
<p>The NPTZ domain was defined as the region between 30&#xb0;N-45&#xb0;N, 180&#xb0;W-140&#xb0;W, as shown in <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>. This area represents 5,532,704 km<sup>2</sup> of the North Pacific Ocean. To examine changes to SST and chlorophyll-a within this region, monthly data from September 1997 to September 2024 were obtained for SST at a 5-km spatial resolution from NOAA Coral Reef Watch Program (<xref ref-type="bibr" rid="B52">NOAA, 2024</xref>) and chlorophyll-a data at a 4-km spatial resolution from Copernicus Marine Environmental Monitoring Service&#x2019;s Global Ocean-Colour blended product (<xref ref-type="bibr" rid="B20">CMEMS, 2024</xref>). Turtle locations were matched to the SST and chlorophyll-a grids of these products and extracted underneath each location.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Study area map of historic (1997&#x2013;2013) and STRETCH (2023&#x2013;2024) juvenile loggerhead sea turtles in the North Pacific Ocean. Individual satellite tracks (n=220) are shown as green lines. The North Pacific Transition Zone (NPTZ) study area (30&#xb0;N-45&#xb0;N, 180&#xb0;W-140&#xb0;W) is represented with the purple box.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-11-1513162-g001.tif"/>
</fig>
</sec>
<sec id="s2_2">
<title>Loggerhead satellite tracking</title>
<p>Our study involves the synthesis of 307 juvenile North Pacific loggerhead sea turtle tracks between January 1997 - September 2024. Of these, 220 individuals utilized the waters within the eastern North Pacific Transition Zone study area (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>; <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). For the remainder of the study, these turtles will be the study focus.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Tracking summary of 220 juvenile North Pacific loggerhead sea turtles monitored from 1997&#x2013;2024.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" colspan="2" align="center"/>
<th valign="middle" colspan="3" align="center">Days Transmitted</th>
<th valign="middle" colspan="3" align="center">Distance Traveled (km)</th>
</tr>
<tr>
<th valign="middle" align="center">Loggerhead Data</th>
<th valign="middle" align="center">N</th>
<th valign="middle" align="center">Min</th>
<th valign="middle" align="center">Mean</th>
<th valign="middle" align="center">Max</th>
<th valign="middle" align="center">Min</th>
<th valign="middle" align="center">Mean</th>
<th valign="middle" align="center">Max</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">1997-2013</td>
<td valign="middle" align="center">167</td>
<td valign="middle" align="center">41</td>
<td valign="middle" align="center">420</td>
<td valign="middle" align="center">1,434</td>
<td valign="middle" align="center">737</td>
<td valign="middle" align="center">8,337</td>
<td valign="middle" align="center">25,900</td>
</tr>
<tr>
<td valign="middle" align="center">2023-2024</td>
<td valign="middle" align="center">53</td>
<td valign="middle" align="center">30</td>
<td valign="middle" align="center">153</td>
<td valign="middle" align="center">262</td>
<td valign="middle" align="center">551</td>
<td valign="middle" align="center">3,447</td>
<td valign="middle" align="center">8,439</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Of the 220 individuals, 193 were raised at the Port of Nagoya Public Aquarium in Nagoya, Japan. The remaining 27 individuals were wild turtles caught and released after interaction with the Hawaii-based longline fishery. <xref ref-type="bibr" rid="B64">Polovina et&#xa0;al. (2006)</xref> discussed the movements and activity between captive-reared and wild-caught North Pacific juvenile loggerhead sea turtles, demonstrating no observable difference in transmissions times, distance traveled, and seasonal movement between the two groups. Detailed methods on animal care, tagging, and release locations can be found in <xref ref-type="bibr" rid="B1">Abecassis et&#xa0;al. (2013)</xref> and <xref ref-type="bibr" rid="B6">Balazs et&#xa0;al. (2016)</xref>. Briefly, Argos-linked satellite transmitters were attached to the carapace of all juveniles, following the procedures recommended in (<xref ref-type="bibr" rid="B5">Balazs et&#xa0;al., 1996</xref>). Argos-derived surface locations were collected by the NOAA PIFSC, Marine Turtle Research Program, Hawaii (1997&#x2013;2013), and by Stanford University, California (2023&#x2013;2024). All raw Argos turtle positions were fitted to a random walk State Space Model (SSM) using the &#x2018;aniMotum&#x2019; package (<xref ref-type="bibr" rid="B41">Jonsen et&#xa0;al., 2023</xref>). This approach provides time-regularized estimates (24-h intervals) of animal location while accounting for observation error and irregularity.</p>
<p>Previous publications have examined the seasonal and interannual movements of individuals from this data set between 1997&#x2013;2013 (<xref ref-type="bibr" rid="B70">Polovina et&#xa0;al., 2000</xref>; <xref ref-type="bibr" rid="B68">Polovina et&#xa0;al., 2001</xref>; <xref ref-type="bibr" rid="B65">Polovina et&#xa0;al., 2004</xref>; <xref ref-type="bibr" rid="B64">Polovina et&#xa0;al., 2006</xref>; <xref ref-type="bibr" rid="B37">Howell et&#xa0;al., 2008</xref>; <xref ref-type="bibr" rid="B44">Kobayashi et&#xa0;al., 2008</xref>; <xref ref-type="bibr" rid="B36">Howell et&#xa0;al., 2010</xref>; <xref ref-type="bibr" rid="B1">Abecassis et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B10">Briscoe et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B11">Briscoe et&#xa0;al., 2021</xref>). The inclusion of 53 turtles covering the period July 2023-September 2024 were part of the Sea Turtle Research Experiment on the Thermal Corridor Hypothesis (STRETCH) initiative (<ext-link ext-link-type="uri" xlink:href="http://www.loggerheadstretch.org">www.loggerheadstretch.org</ext-link>). This is the first publication of these new tracks and of the entire dataset that spans a 27-year study period. Collectively, these data represent the most extensive satellite tracking datasets of juvenile sea turtles from a single population.</p>
</sec>
<sec id="s2_3">
<title>Data analyses</title>
<sec id="s2_3_1">
<title>Trend estimation within the NPTZ</title>
<p>We used generalized additive mixed models (GAMMs) to characterize seasonal and interannual trends in temperature, productivity, and turtle habitat across the NPTZ in the last 27 years. GAMMs are an extension of generalized additive models, commonly used to model complex ecological response shapes as they fit non-linear functions using data defined smoothers (<xref ref-type="bibr" rid="B23">Elith et&#xa0;al., 2006</xref>; <xref ref-type="bibr" rid="B80">Vanselow et&#xa0;al., 2021</xref>). Given the autocorrelative nature of the time series data sets, GAMMs allow for the incorporation of random effects to deal with the non-independence of observations.</p>
<p>We fit a suite of GAMMs with separate response variables to a base equation containing two independent variables: a smoothed monthly term to model seasonal (i.e., cyclical) patterns and a fixed linear term for year to model the long-term trend. Model response variables are described in detail below. Briefly, they included the average SST and chlorophyll-a concentrations across the NPTZ study area, the average area of low chlorophyll-a waters (total surface area &lt; 0.2 mg/m<sup>3</sup>) within the study area, and the average loggerhead sea turtle distribution within the NPTZ by latitude. All data processing and analyses were performed using R (version 4.2.2) and Python (version 3.9.6). Statistical models were fit using the &#x2018;mgcv&#x2019; package in R (<xref ref-type="bibr" rid="B85">Wood and Wood, 2015</xref>) using a gaussian distribution and identity link function.</p>
</sec>
<sec id="s2_3_2">
<title>Average SST and chlorophyll-a concentrations within the NPTZ</title>
<p>To examine concurrent changes in sea surface temperature and chlorophyll-a concentrations within the NPTZ in the past 27 years, we first computed mean monthly SST and chlorophyll-a concentrations spatial averages within the NPTZ study region between September 1997 - September 2024. Quarterly and annual means were also calculated to compare winter (Q1, January-March) and summer (Q3, July-September) trends in the NPTZ.</p>
<p>The time series of spatially averaged SST and chlorophyll-a concentrations were each used as response variables and fitted to the base equation. Chlorophyll-a concentrations were log-transformed for model fitting. Given the autocorrelative properties of the environmental time series (<xref ref-type="bibr" rid="B74">Simpson, 2018</xref>), a low order autoregressive (AR) structure was added to both models.</p>
</sec>
<sec id="s2_3_3">
<title>Area of oligotrophy</title>
<p>Satellite-derived surface chlorophyll-a imagery of the central North Pacific shows the large oligotrophic subtropical gyre as characterized by surface chlorophyll-a waters less than 0.2mg/m<sup>3</sup>. Thus, those waters in the NPTZ that have surface chlorophyll-a less than 0.2mg/m<sup>3</sup> were used to characterize less productive, oligotrophic waters (<xref ref-type="bibr" rid="B68">Polovina et&#xa0;al., 2001</xref>). To quantify the seasonal and interannual variation of these oligotrophic waters in the NPTZ across the study period, we modelled the spatially averaged monthly and annual area of surface chlorophyll-a (km<sup>2</sup>) less than 0.2 mg/m<sup>3</sup>. Following a similar approach to Polovina et&#xa0;al. (2008), we first calculated the monthly mean, quarterly, and annual areas less than 0.2 mg/m<sup>3</sup> surface chlorophyll-a concentrations between 30&#xb0;N-45&#xb0;N, 180&#xb0;W-140&#xb0;W. To determine the area in km<sup>2</sup>, longitudes were transformed as a function of 1-degree latitude increment using the equation: longitude * cos(latitude) (<italic>see</italic> <xref ref-type="bibr" rid="B67">Polovina et&#xa0;al., 2008</xref>). The average area (km<sup>2</sup>) &lt; 0.2 mg/m<sup>3</sup> chlorophyll-a concentration was then fitted to the base equation. Similar to the average SST and chlorophyll-a time series models, a low order AR structure was applied.</p>
</sec>
<sec id="s2_3_4">
<title>Loggerhead latitude</title>
<p>To characterize changes in observed loggerhead latitudinal distribution over time, we first filtered the tracking data set to only include tracks within the NPTZ region (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>). The monthly mean turtle-latitude, turtle-SST, and turtle-chlorophyll-a concentrations were then calculated for each individual across the zonal band of longitude (180&#xb0;W -140&#xb0;W). Several additional candidate models were explored (see <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Material</bold>
</xref>), however the final GAMM was fitted to the base equation using latitude as the response variable and animal ID as a random effect.</p>
</sec>
<sec id="s2_3_5">
<title>Yearly grouped approach</title>
<p>The tracking data from 1997 to 2024 were not uniformly distributed across this entire period but fell into four discrete groupings: 1997&#x2013;2000, 2004&#x2013;2008, 2010&#x2013;2013, and 2023&#x2013;2024. As a simpler and perhaps more robust approach to the GAMM, we computed the annual and quarterly mean turtle latitudes, SSTs, and chlorophyll-a concentrations experienced by each year group and plotted the group means.</p>
</sec>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<sec id="s3_1">
<title>Oceanographic trends</title>
<p>Results identified statistically significant seasonal and long-term trends across all GAMM models (p &lt; 0.05). Given that the seasonal trends for chlorophyll-a, temperature, and turtles have been well-established within this region (<xref ref-type="bibr" rid="B68">Polovina et&#xa0;al., 2001</xref>; <xref ref-type="bibr" rid="B8">Bograd et&#xa0;al., 2004</xref>), our results focus on the long-term trends. Specifically, during the winter and spring vertical mixing and southward Ekman transport elevate nutrient and chlorophyll-a levels in the NPTZ while during summer and fall increased vertical stratification and relaxed westerly winds result in more oligotrophic conditions. For more details on seasonal dynamics please refer to the <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Material</bold>
</xref>.</p>
<p>From September 1997-September 2024, the annual trends in SST within the NPTZ study region from the GAMM showed a statistically significant linear increase in average surface temperatures from 15.82&#xb0;C &#x2013; 17.41&#xb0;C (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>; <xref ref-type="table" rid="T2">
<bold>Table 2A</bold>
</xref>). This represented an average increase of 1.59&#xb0;C. Quarterly values showed this warming trend occurred during both the winter and summer months (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2A</bold>
</xref>). Seasonally, the NPTZ followed well-established trends (<italic>see</italic> <xref ref-type="bibr" rid="B8">Bograd et&#xa0;al., 2004</xref>) of cooler SSTs in the winter (&lt; 15&#xb0;C) and warmer SSTs in the summer (&gt; 20&#xb0;C) (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S1A</bold>
</xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Fitted trend lines of mean SST <bold>(A)</bold> and mean chlorophyll-a concentration <bold>(B)</bold> by year, between 30&#xb0;N-45&#xb0;N, 180&#xb0;W-140&#xb0;W. Annual means are shown as circles. The shaded regions depict the extent of the winter (Q1) and summer (Q3) quarterly means.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-11-1513162-g002.tif"/>
</fig>
<table-wrap-group id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Generalized additive mixed model results of (A) average SST and (B) chlorophyll-a concentration within the NPTZ.</p>
</caption>
<table-wrap>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" colspan="6" align="left">A. SST (&#xb0;C)</th>
</tr>
<tr>
<th valign="middle" align="left">Component</th>
<th valign="middle" align="left">Term</th>
<th valign="middle" align="left">Estimate</th>
<th valign="middle" align="left">Std Error</th>
<th valign="middle" align="left">t-value</th>
<th valign="middle" align="left">p-value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" rowspan="2" align="left">A. parametric coefficients</td>
<td valign="middle" align="left">(Intercept)</td>
<td valign="middle" align="right">15.815</td>
<td valign="middle" align="right">0.222</td>
<td valign="middle" align="right">71.140</td>
<td valign="middle" align="right">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left">year</td>
<td valign="middle" align="right">0.005</td>
<td valign="middle" align="right">0.001</td>
<td valign="middle" align="right">4.205</td>
<td valign="middle" align="right">&lt;0.001</td>
</tr>
</tbody>
<tbody>
<tr>
<th valign="top" align="left">Component</th>
<th valign="middle" align="left">Term</th>
<th valign="middle" align="left">edf</th>
<th valign="middle" align="left">Ref. df</th>
<th valign="middle" align="left">F-value</th>
<th valign="middle" align="left">p-value</th>
</tr>
</tbody>
<tbody>
<tr>
<td valign="top" align="left">B. smooth terms</td>
<td valign="middle" align="left">s(month)</td>
<td valign="middle" align="right">7.931</td>
<td valign="middle" align="right">8.000</td>
<td valign="middle" align="right">981.153</td>
<td valign="middle" align="right">&lt;0.001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Adjusted R-squared: 0.962.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" colspan="6" align="left">B. Chlorophyll-a (mg/m<sup>3</sup>)</th>
</tr>
<tr>
<th valign="middle" align="left">Component</th>
<th valign="middle" align="left">Term</th>
<th valign="middle" align="left">Estimate</th>
<th valign="middle" align="left">Std Error</th>
<th valign="middle" align="left">t-value</th>
<th valign="middle" align="left">p-value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" rowspan="2" align="left">A. parametric coefficients</td>
<td valign="middle" align="left">(Intercept)</td>
<td valign="middle" align="right">0.183</td>
<td valign="middle" align="right">0.004</td>
<td valign="middle" align="right">47.087</td>
<td valign="middle" align="right">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left">year</td>
<td valign="middle" align="right">-0.0001</td>
<td valign="middle" align="right">0.00002</td>
<td valign="middle" align="right">-5.384</td>
<td valign="middle" align="right">&lt;0.001</td>
</tr>
</tbody>
<tbody>
<tr>
<th valign="top" align="left">Component</th>
<th valign="middle" align="left">Term</th>
<th valign="middle" align="left">edf</th>
<th valign="middle" align="left">Ref. df</th>
<th valign="middle" align="left">F-value</th>
<th valign="middle" align="left">p-value</th>
</tr>
</tbody>
<tbody>
<tr>
<td valign="top" align="left">B. smooth terms</td>
<td valign="middle" align="left">s(month)</td>
<td valign="middle" align="right">7.475</td>
<td valign="middle" align="right">8.000</td>
<td valign="middle" align="right">112.430</td>
<td valign="middle" align="right">&lt;0.001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Adjusted R-squared: 0.842.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</table-wrap-group>
<p>The long-term trend in average chlorophyll-a concentrations showed a statistically significant decline over the study period from approximately 0.17 mg/m<sup>3</sup> in the late 1990&#x2019;s to 0.14 mg/m<sup>3</sup> in recent years (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2B</bold>
</xref>; <xref ref-type="table" rid="T2">
<bold>Table 2B</bold>
</xref>). This represented an average decrease of 19.58% in chlorophyll-a concentrations within the study period. While annual chlorophyll-a concentrations increased between 1998&#x2013;2011, average concentrations began to decrease with a substantial shift in the winter of 2012 and have continued to decline since then, most notably in the winter months (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2B</bold>
</xref>). Seasonally, chlorophyll-a concentrations were greatest in the winter (&gt; 0.20 mg/m<sup>3</sup>) and lowest in the summer (&lt; 0.10 mg/m<sup>3</sup>) (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S1B</bold>
</xref>).</p>
<p>
<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref> shows the strong seasonal expansion and contraction of the oligotrophic waters in the NPTZ. The total area of oligotrophic water is reduced to less than 3 million km<sup>2</sup> in the winter when chlorophyll-a concentrations are at a maximum (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figures S1B</bold>
</xref>, <xref ref-type="supplementary-material" rid="SM1">
<bold>S2</bold>
</xref>). During the summer as the climatological position of the TZCF migrates north, regional SSTs and vertical stratification increase account for over 5 million km<sup>2</sup> (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S2</bold>
</xref>). Since 1997, annual trends in oligotrophic waters have exhibited a statistically significant linear increase (<xref ref-type="table" rid="T3">
<bold>Table 3</bold>
</xref>). The average total area of oligotrophic waters has increased by approximately 1.65 million km<sup>2</sup> (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>). This correlates to a 28.07% increase in oligotrophic waters in just a quarter century. The most notable changes occurred in the winter months especially since 2011. Between 2011 and 2023/2024 the proportion of oligotrophic waters in the winter in the NPTZ increased from 25.17% to greater than 60% of the NPTZ area (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>).</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Fitted trend lines showing the change in total area (km<sup>2</sup>) of oligotrophic waters (surface chlorophyll-a &lt; 0.2 mg/m<sup>3</sup> by year, between 30&#xb0;N-45&#xb0;N, 180&#xb0;W-140&#xb0;W). Annual means are shown as green circles. The y-axes represent the total change in millions of km<sup>2</sup> (shown on the left) and percent of total area (shown on the right). The shaded regions depict the extent of the winter (Q1) and summer (Q3) seasonal means.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-11-1513162-g003.tif"/>
</fig>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Generalized additive mixed model results of total area (km<sup>2</sup>) below 0.2 mg/m<sup>3</sup> chlorophyll-a concentrations within the NPTZ.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Component</th>
<th valign="middle" align="left">Term</th>
<th valign="middle" align="left">Estimate</th>
<th valign="middle" align="left">Std Error</th>
<th valign="middle" align="left">t-value</th>
<th valign="middle" align="left">p-value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" rowspan="2" align="left">A. parametric coefficients</td>
<td valign="middle" align="left">(Intercept)</td>
<td valign="middle" align="right">3,120,329.071</td>
<td valign="middle" align="right">105,210.405</td>
<td valign="middle" align="right">29.658</td>
<td valign="middle" align="right">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left">year</td>
<td valign="middle" align="right">5,084.347</td>
<td valign="middle" align="right">555.039</td>
<td valign="middle" align="right">9.160</td>
<td valign="middle" align="right">&lt;0.001</td>
</tr>
</tbody>
<tbody>
<tr>
<th valign="top" align="left">Component</th>
<th valign="middle" align="left">Term</th>
<th valign="middle" align="left">edf</th>
<th valign="middle" align="left">Ref. df</th>
<th valign="middle" align="left">F-value</th>
<th valign="middle" align="left">p-value</th>
</tr>
</tbody>
<tbody>
<tr>
<td valign="top" align="left">B. smooth terms</td>
<td valign="middle" align="left">s(month)</td>
<td valign="middle" align="right">7.393</td>
<td valign="middle" align="right">8.000</td>
<td valign="middle" align="right">89.098</td>
<td valign="middle" align="right">&lt;0.001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Adjusted R-squared: 0.836.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_2">
<title>Turtle habitat trends</title>
<p>Of the 220 North Pacific loggerheads in the data set, 167 satellite tracks from 1997&#x2013;2013 and 53 from 2023&#x2013;2024 utilized the NPTZ domain (30&#xb0;N-45&#xb0;N, 180&#xb0;W-140&#xb0;W). From 1997&#x2013;2013, average individual total transmission length was 420 days (range: 41&#x2013;1,434 days) and 8,337 km (range: 737&#x2013;25,900 km). From 2023&#x2013;2024, average individual total transmission length was 153 days (range: 30&#x2013;262 days) and 3,447 km (range: 551&#x2013;8,439 km) (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>).</p>
<p>Average turtle latitude followed an expected N-S trend of about 10&#xb0; in latitude (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S3</bold>
</xref>), as turtles tracked the productive TZCF from its southernmost position in the winter months (Feb-Mar) to its northernmost position in the summer months (Aug-Sept).</p>
<p>Turtles occupied habitat with a mean of 17.63&#xb0;C SST (+/- 1.80&#xb0;C SD) and 0.16 mg/m<sup>3</sup> chlorophyll-a concentrations (+/- 0.07 mg/m<sup>3</sup> SD) (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figures S4</bold>
</xref>, <xref ref-type="supplementary-material" rid="SM1">
<bold>S5</bold>
</xref>). Results from the fitted GAMM estimated average loggerhead habitat has gradually shifted north between 1997&#x2013;2024 by about 450&#xa0;km, from 34.6&#xb0;N to 39.0&#xb0;N latitude (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4A</bold>
</xref>; <xref ref-type="table" rid="T4">
<bold>Table 4</bold>
</xref>). The years with the greatest tagging data (i.e. 2005-2007) were apparent in the GAMM fit. When the turtle tracks were aggregated by discrete year groups, the number of individuals within each year grouping were more evenly distributed. Results of this comparative analysis were similar to the GAMM outputs, but indicated a potentially greater northward shift as the average annual mean latitude showed a 600&#xa0;km increase, from 32.4&#xb0;N to 41.7&#xb0;N latitude (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4B</bold>
</xref>). Further, in most years, both the southern (winter) and northern (summer) habitat latitudes showed similar northward shifts, indicating that the extent of the seasonal migration of about 1,000 km remains unchanged (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4B</bold>
</xref>).</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>
<bold>(A)</bold> Fitted trend lines showing the mean turtle latitude by year (30&#xb0;N-45&#xb0;N, 180&#xb0;W-140&#xb0;W) between September 1997 &#x2013; September 2024. The shaded region depicts the 95% confidence interval. Observed annual mean turtle positions are shown as purples circles. <bold>(B)</bold> Mean turtle latitude grouped by year (1997&#x2013;2000, 2004&#x2013;2008, 2010&#x2013;2013, and 2023&#x2013;2024) and averaged across the study area from 180&#xb0;W-140&#xb0;W longitude. Spatial means are shown as circles. Quarterly means (Q1, Q3) are shown as thin boundary lines.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-11-1513162-g004.tif"/>
</fig>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>Generalized additive mixed model results of average loggerhead latitudinal movements within the NPTZ.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Component</th>
<th valign="middle" align="left">Term</th>
<th valign="middle" align="left">Estimate</th>
<th valign="middle" align="left">Std Error</th>
<th valign="middle" align="left">t-value</th>
<th valign="middle" align="left">p-value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">A. parametric coefficients</td>
<td valign="middle" align="left">(Intercept)</td>
<td valign="middle" align="right">36.562</td>
<td valign="middle" align="right">0.089</td>
<td valign="middle" align="right">411.500</td>
<td valign="middle" align="right">&lt;0.001</td>
</tr>
</tbody>
<tbody>
<tr>
<th valign="middle" align="left">Component</th>
<th valign="middle" align="left">Term</th>
<th valign="middle" align="left">edf</th>
<th valign="middle" align="left">Ref. df</th>
<th valign="middle" align="left">F-value</th>
<th valign="middle" align="left">p-value</th>
</tr>
</tbody>
<tbody>
<tr>
<td valign="top" rowspan="3" align="left">B. smooth terms</td>
<td valign="middle" align="left">s(month)</td>
<td valign="middle" align="right">7.651</td>
<td valign="middle" align="right">8.000</td>
<td valign="middle" align="right">1,360.568</td>
<td valign="middle" align="right">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left">s(year)</td>
<td valign="middle" align="right">0.998</td>
<td valign="middle" align="right">2.000</td>
<td valign="middle" align="right">1,929.500</td>
<td valign="middle" align="right">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left">s(id)</td>
<td valign="middle" align="right">163.073</td>
<td valign="middle" align="right">219.000</td>
<td valign="middle" align="right">3.403</td>
<td valign="middle" align="right">&lt;0.001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Adjusted R-squared: 0.853.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Across the same discrete year groups, average turtle SST and chlorophyll-a associations within the NPTZ showed some year to year variability but were within preferred habitat ranges (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figures S4</bold>
</xref>, <xref ref-type="supplementary-material" rid="SM1">
<bold>S5</bold>
</xref>). When grouped into multiple years, average turtle associated SSTs varied from 16.5&#xb0;C (2010-2013), 17.6&#xb0;C (2024-2007, 2023&#x2013;2024), to 18.9&#xb0;C (1997-2000) (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5A</bold>
</xref>). Average turtle associated chlorophyll-a concentrations varied from 0.12 mg/m<sup>3</sup> (1997-2000, 2023-2024), 0.18 mg/m<sup>3</sup> (2004-2008), to 0.20 mg/m<sup>3</sup> (2010-2013) (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5B</bold>
</xref>).</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Annual variation in turtle associated <bold>(A)</bold> sea surface temperatures, and <bold>(B)</bold> chlorophyll-a concentrations (mg/m<sup>3</sup>) grouped by year (1997&#x2013;2000, 2004&#x2013;2008, 2010&#x2013;2013, and 2023&#x2013;2024) and averaged across the study area from 180&#xb0;W-140&#xb0;W longitude. Spatial means are shown as circles. Quarterly means (Q1, Q3) are shown as thin boundary lines.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-11-1513162-g005.tif"/>
</fig>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>Over the past 27 years, various subsets of this loggerhead sea turtle electronic tracking data set have played pivotal roles in defining the ecological significance of the NPTZ and how these animals use this region (<xref ref-type="bibr" rid="B70">Polovina et&#xa0;al., 2000</xref>; <xref ref-type="bibr" rid="B68">Polovina et&#xa0;al., 2001</xref>; <xref ref-type="bibr" rid="B65">Polovina et&#xa0;al., 2004</xref>; <xref ref-type="bibr" rid="B64">Polovina et&#xa0;al., 2006</xref>; <xref ref-type="bibr" rid="B44">Kobayashi et&#xa0;al., 2008</xref>). Since then, our understanding of this dynamic but persistent basin-scale ocean feature has grown into a well-studied marine productivity hotspot for migratory marine animals and commercial fisheries (<xref ref-type="bibr" rid="B68">Polovina et&#xa0;al., 2001</xref>; <xref ref-type="bibr" rid="B42">Kappes et&#xa0;al., 2010</xref>; <xref ref-type="bibr" rid="B7">Block et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B31">Hazen et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B86">Xu et&#xa0;al., 2017</xref>). Across this same period, the eastern North Pacific has experienced an unprecedented rate of change. The combined impacts of MHWs and long-term climate change threaten key ecological structure and functions that have defined the NPTZ. While evidence of physical forcing and lower trophic level alterations has been mounting (<xref ref-type="bibr" rid="B67">Polovina et&#xa0;al., 2008</xref>; <xref ref-type="bibr" rid="B66">Polovina et&#xa0;al., 2011</xref>), our ability to map these changes onto higher trophic levels has been limited. To date, our knowledge has been informed by short-term studies and end-of-century simulations, but there has been scarce long-term information (decadal-scale or longer) that integrates across these climatic extremes.</p>
<p>Our results show that over the past 27 years the NPTZ has become more oligotrophic with the rate of greatest increase during the winter and especially since 2011 (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>). Specifically, the eastern NPTZ has gradually warmed by an average of 1.59&#xb0;C but experienced a much more substantial biological change with mean chlorophyll-a density declining by almost 19.58% (<xref ref-type="fig" rid="f2">
<bold>Figures&#xa0;2A, B</bold>
</xref>), with the greatest signals of change occurring in the winter months. Across the study period, the 5-year average winter SSTs in the NPTZ have increased from approximately 12.4&#xb0;C from the beginning of the study period to 13.8&#xb0;C at the end of the study period while average chlorophyll-a concentrations have decreased from approximately 0.22 mg/m<sup>3</sup> to 0.185 mg/m<sup>3</sup> during this same time. This represents a significant increase in oligotrophic waters, from ~3 million km<sup>2</sup> to 4.5 million km<sup>2</sup>, with a notable increase since ~2011 (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>).</p>
<p>Results from our study align with previous research signaling significant biophysical change within the North Pacific Ocean. <xref ref-type="bibr" rid="B67">Polovina et&#xa0;al. (2008)</xref>; <xref ref-type="bibr" rid="B66">Polovina et&#xa0;al. (2011)</xref> and <xref ref-type="bibr" rid="B87">Yang et&#xa0;al. (2020)</xref> identified climate-induced poleward expansion of the subtropical gyre and reduced productivity due to ocean warming. <xref ref-type="bibr" rid="B45">Le et&#xa0;al. (2019)</xref> and <xref ref-type="bibr" rid="B43">Kawakami et&#xa0;al. (2023)</xref> reported a northward shift of the Kuroshio Current Extension current and a decline in phytoplankton abundance in the NPTZ. The impacts of the increasing trend in recent MHW events (<xref ref-type="bibr" rid="B75">Smith et&#xa0;al., 2023</xref>) are evident in the further reduction of chlorophyll-a since 2012 (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>), however our results highlight a longer-term change within the region over the past few decades.</p>
<p>In response to these changes, loggerhead sea turtles have shifted their foraging grounds northwards by 450&#xa0;km (from the GAMM) to 600&#xa0;km (from the year group), or about 116&#x2013;200 km per decade (<xref ref-type="fig" rid="f4">
<bold>Figures&#xa0;4A, B</bold>
</xref>). Our results indicate that this population-level shift is not just a northern limit range extension of habitat, but rather indicative of a pervasive northward shift across both the lower and upper bounds of their habitat range (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4B</bold>
</xref>). The 200 km/decade northward shift is considerably more than the global mean rate for marine organisms of less than 100&#xa0;km per decade (<xref ref-type="bibr" rid="B62">Poloczanska et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B60">Pinsky et&#xa0;al., 2020</xref>), but is closer to the upper-end rate of leading edge expansions for other higher trophic level species (i.e., bony fish, 277.5&#xa0;km per decade) (<xref ref-type="bibr" rid="B62">Poloczanska et&#xa0;al., 2013</xref>). These rates suggest that the ecology of the eastern NPTZ may be changing more rapidly than other regions and our ability to measure the habitat of a higher trophic level species moving northwards in response to these changes is unique. Even though the NPTZ has warmed and experienced an almost 20% decline in chlorophyll-a, the loggerhead sea turtles despite their northward movement, continued to occupy waters within preferred habitat (<xref ref-type="fig" rid="f5">
<bold>Figures&#xa0;5A, B</bold>
</xref>). Broadly, these results suggest that turtles are adapting to a changing ocean by undertaking significant geographic shifts to maintain suitable habitat.</p>
<p>However, for loggerheads the ability to maintain an adaptive response to a changing environment may become more difficult over time. Globally, the rate of climate-driven change continues to accelerate the poleward expansion of many tropical and subtropical species, a phenomenon known as tropicalization (<xref ref-type="bibr" rid="B55">Osland et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B88">Zarzyczny et&#xa0;al., 2023</xref>). For such an important biogeographic transition zone such as the NPTZ, the expansion of warmer, more oligotrophic waters may create latitudinal alterations in prey availability and composition. These changes can appear subtle but can push many upper trophic level predators into new habitats and forage communities, with potentially significant top-down impacts to the structure and function of the rest of the marine ecosystem (<xref ref-type="bibr" rid="B88">Zarzyczny et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B27">Gomes et&#xa0;al., 2024</xref>). The composition and energetic density of prey at new latitudes can impact metabolic rates and reproductive outputs, given well-established energetic costs for long-distance migrators (<xref ref-type="bibr" rid="B2">Alerstam et&#xa0;al., 2003</xref>; <xref ref-type="bibr" rid="B29">Hays, 2008</xref>). As a sentinel species, the northern shift of juvenile loggerheads to access forage habitat may serve as an early warning sign of tropicalization within the NPTZ. This is especially true as species such as sea turtles have a narrower thermal tolerance compared to other highly mobile species within the region (<xref ref-type="bibr" rid="B31">Hazen et&#xa0;al., 2013</xref>). If prey assemblages continue to shift polewards at a rate faster than warming temperatures, sea turtles may be one of the first mobile species to lose the ability to synchronize the availability of forage habitat with thermal displacements. For example, <xref ref-type="bibr" rid="B13">Brodeur et&#xa0;al. (2018)</xref> and <xref ref-type="bibr" rid="B27">Gomes et&#xa0;al. (2024)</xref> reported an observed northward expansion of several gelatinous loggerhead prey species, such as pyrosomes, within the CCS. The increased abundance of these prey species coincided with the occurrence of juvenile loggerhead sea turtles in the Pacific Northwest further north than usual (<xref ref-type="bibr" rid="B4">Arden, 2023</xref>; <xref ref-type="bibr" rid="B21">Early-Capistr&#xe1;n et&#xa0;al., 2024</xref>; <xref ref-type="bibr" rid="B71">Ramirez, 2024</xref>). Within the past 5 years, a total of 20 stranded loggerheads have been recorded off of the US and Canada West Coast (<xref ref-type="bibr" rid="B53">NOAA Sea Turtle Stranding Network, 2024</xref>). Scat analysis of one particular individual found as far north as Vancouver, Canada, revealed the presence of pyrosomes (<xref ref-type="bibr" rid="B56">Parker et&#xa0;al., 2024</xref>) suggesting loggerheads may be following these typically tropical prey sources further north. If forage habitat continues to change at a faster rate than thermal tolerances, winners and losers will emerge, with many species struggling to keep pace. For North Pacific loggerhead sea turtles, a northward expansion becomes highly relevant in terms of energetic costs to forage at new latitudes while maintaining connectivity to known coastal habitats, such as the well-established developmental grounds of Baja California, Mexico (<xref ref-type="bibr" rid="B50">Nichols et&#xa0;al., 2000</xref>; <xref ref-type="bibr" rid="B58">Peckham et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B84">Wingfield et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B73">Seminoff et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B79">Tomaszewicz et&#xa0;al., 2015</xref>). Individuals will be faced with the need to travel farther south or establish new coastal habitats along the California coast (<xref ref-type="bibr" rid="B3">Allen et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B22">Eguchi et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B81">Welch et&#xa0;al., 2019</xref>).</p>
<p>Our study provides critical information as to how animals are responding to significant long-term change in one of the oceans most productive regions. To date, most studies have emphasized the role of temperature in reshaping habitat. Indeed, temperature plays a significant role in marine biodiversity patterns (<xref ref-type="bibr" rid="B78">Tittensor et&#xa0;al., 2010</xref>) and geographic redistributions (<xref ref-type="bibr" rid="B62">Poloczanska et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B49">McHenry et&#xa0;al., 2019</xref>). But recent insights have broadened our understanding of other environmental covariates (i.e., salinity, currents, productivity, pH) in species&#x2019; responses to climate change (see <xref ref-type="bibr" rid="B63">Poloczanska et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B49">McHenry et&#xa0;al., 2019</xref>). For sea turtles, a conventional approach might be to overemphasize temperature-based models when projecting species&#x2019; responses to change, especially given extrinsic thermal vulnerabilities (<xref ref-type="bibr" rid="B28">Goudarzi et&#xa0;al., 2024</xref>). Here we also underscore the importance of including other environmental variables in anticipating species&#x2019; shifts in a changing ocean.</p>
</sec>
<sec id="s5" sec-type="conclusions">
<title>Conclusions</title>
<p>Within the last few decades, the North Pacific has exhibited unprecedented change. The changes that we are seeing in the NPTZ oceanography and the northward shift in latitude of loggerhead sea turtles appear to be part of a broader northward expansion of the subtropical gyre and northward shift of the NPTZ as has been projected in climate models and observed with SST and altimetry data trends (<xref ref-type="bibr" rid="B66">Polovina et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B87">Yang et&#xa0;al., 2020</xref>). The documented northward shift in loggerhead presence is likely indicative of broader ecosystem impacts within the NPTZ including impacts to the foraging habitat of commercially valuable pelagic fishes, and other protected species. Understanding how sentinel species will respond and adapt to such an accelerated transformation is imperative to effectively maintaining and managing healthy ecological connections across their entire North Pacific habitat. To date, our ability to track changes to the environment and animal response has been limited. Future research is needed to fully understand these important changes within the context of a warming ocean. The outcomes of this study provide first-order documentation of a significant change to environmental conditions that have defined this ecologically important region and a population-level response by a high trophic level predator species that is highly sensitive to ecosystem change. In a warmer, less productive NPTZ, range shifts and expansions will result in habitat gains and losses and will pose new management challenges within international jurisdictions (<xref ref-type="bibr" rid="B72">Santos et&#xa0;al., 2024</xref>). For example, as loggerheads move further north, those that head eastward may enter the California Current at higher latitudes and face new mortality risks from different fisheries and cold stunning. Continued observation of decadal-scale animal response can be assimilated with short-term (i.e., seasonal, interannual) and longer-term information (i.e. climate modeled predictions). Such information will be critical for conservation assessments and management strategies for this endangered species. Sentinel species like loggerhead sea turtles, highly migratory and exceptionally sensitive to environmental changes, offer invaluable insights into the health and stability of the North Pacific ecosystem, and may provide early warning signals to improve forecasted species&#x2019; responses in a warming ocean. The exceptional dataset used in this study offers the first longitudinal perspective of its kind, giving scientists the ability to track subtle yet significant shifts in oceanic conditions and animal distributions, facilitating more accurate predictions, and enhancing dynamic management strategies (<xref ref-type="bibr" rid="B38">Howell et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B48">Maxwell et&#xa0;al., 2015</xref>).</p>
</sec>
</body>
<back>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>This study has been conducted using publicly available environmental data from NOAA Coral Reef Watch Version 3.1 (<ext-link ext-link-type="uri" xlink:href="https://coralreefwatch.noaa.gov">https://coralreefwatch.noaa.gov</ext-link>) and E.U. Copernicus Marine Service Information Global Ocean Colour (<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.48670/moi-00283">https://doi.org/10.48670/moi-00283</ext-link>). Please contact Denise Parker (<email xlink:href="mailto:denise.m.parker@outlook.com">denise.m.parker@outlook.com</email>) and Larry Crowder (<email xlink:href="mailto:lbcrowder@stanford.edu">lbcrowder@stanford.edu</email>) to discuss data availability of the juvenile loggerhead tracking data set used here.</p>
</sec>
<sec id="s7" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The animal study was approved by Stanford University Protocol APLAC-34400. The study was conducted in accordance with the local legislation and institutional requirements.</p>
</sec>
<sec id="s8" sec-type="author-contributions">
<title>Author contributions</title>
<p>DB: Conceptualization, Data curation, Formal analysis, Methodology, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. LC: Funding acquisition, Writing &#x2013; review &amp; editing. GB: Writing &#x2013; review &amp; editing, Data curation, Resources. JS: Writing &#x2013; review &amp; editing. AA: Writing &#x2013; review &amp; editing. CL: Resources, Writing &#x2013; review &amp; editing. MK: Data curation, Resources, Writing &#x2013; review &amp; editing. MM: Data curation, Writing &#x2013; review &amp; editing, Resources. DP: Writing &#x2013; review &amp; editing, Data curation. MR: Data curation, Writing &#x2013; review &amp; editing. TS: Writing &#x2013; review &amp; editing, Data curation, Resources. BS: Writing &#x2013; review &amp; editing. CT: Writing &#x2013; review &amp; editing. NY: Writing &#x2013; review &amp; editing, Resources. JP: Writing &#x2013; review &amp; editing, Conceptualization, Methodology, Writing &#x2013; original draft.</p>
</sec>
<sec id="s9" 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 was provided by the Gordon and Betty Moore Foundation and the National Geographic Society.</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>The authors would like to gratefully acknowledge the personnel at Port of Nagoya Public Aquarium and the students and staff of Usa Marine Biological Institute, Kochi University, for their generous role in securing hatchling sea turtles for this study. We would like to thank Laura Jim and the students of HPA for their field assistance. We thank Nick Wegner and the two reviewers for their constructive feedback, and we thank Erin LaCasella (NOAA) for providing sea turtle stranding information.</p>
</ack>
<sec id="s10" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s11" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was used in the creation of this manuscript.</p>
</sec>
<sec id="s12" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec id="s13" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fmars.2024.1513162/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fmars.2024.1513162/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="DataSheet1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
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