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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Mar. Sci.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Marine Science</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Mar. Sci.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2296-7745</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
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<article-meta>
<article-id pub-id-type="doi">10.3389/fmars.2025.1734954</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Brief Research Report</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Microplastic contamination in the endemic Fiji maskray (<italic>Neotrygon romeoi</italic>)</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Davuke</surname><given-names>Ramona</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>*</sup></xref>
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<contrib contrib-type="author">
<name><surname>Sevakarua</surname><given-names>Waisiki</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author">
<name><surname>Vierus</surname><given-names>Tom</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<name><surname>Glaus</surname><given-names>Kerstin</given-names></name>
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<aff id="aff1"><label>1</label><institution>Centre for Sustainable Futures, The University of the South Pacific</institution>, <city>Suva</city>, <country country="fj">Fiji</country></aff>
<aff id="aff2"><label>2</label><institution>Independent Researcher</institution>, <city>Suva</city>, <country country="fj">Fiji</country></aff>
<author-notes>
<corresp id="c001"><label>*</label>Correspondence: Ramona Davuke, <email xlink:href="mailto:r.davuke@outlook.com">r.davuke@outlook.com</email></corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-01-23">
<day>23</day>
<month>01</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2025</year>
</pub-date>
<volume>12</volume>
<elocation-id>1734954</elocation-id>
<history>
<date date-type="received">
<day>29</day>
<month>10</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>11</day>
<month>12</month>
<year>2025</year>
</date>
<date date-type="rev-recd">
<day>26</day>
<month>11</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2026 Davuke, Sevakarua, Vierus and Glaus.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Davuke, Sevakarua, Vierus and Glaus</copyright-holder>
<license>
<ali:license_ref start_date="2026-01-23">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. 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.</license-p>
</license>
</permissions>
<abstract>
<p>Plastic waste accumulates in coastal environments, posing risks to marine organisms and the human communities that depend on them. Fiji relies heavily on inshore fisheries, yet the extent and physiological implications of microplastic (MP) contamination in locally captured species remain unclear. Most existing work has focused on MP contamination in teleosts, with little information for batoids, particularly from South Pacific islands. In Fiji, batoids are a common component in small-scale fishery activities, with the endemic Fiji maskray (<italic>Neotrygon romeoi</italic>) frequently captured and traded. To provide a first reference for a batoid from this region, we quantified MP contamination in 21 Fiji maskrays from the Suva&#x2013;Rewa&#x2013;Tailevu corridor, characterized particles by size, shape, and color, and assessed physiological condition using the hepatosomatic index (HSI). Furthermore, to address a key life history gap relevant to management, we estimated size at maturity for both sexes, finding that females matured at 360&#x2013;365 mm disc width and males at 369&#x2013;395 mm disc width. Microplastics occurred in 71.4% of specimens, with a mean of 6.76 &#xb1; 7.80 particles per individual and no significant difference between stomach and intestine (<italic>p</italic> = 0.331). Particle sizes ranged from 63 to 500 &#xb5;m, with 63 &#xb5;m being the most frequent. Fragments predominated, with white (n = 38) and silver (n = 33) being the most common. No statistically significant relationship was found between MP presence and HSI, despite a weak to moderate negative trend. Together, these results establish a baseline for MP contamination and provide complementary life history information to support future contamination assessments and fisheries management.</p>
</abstract>
<kwd-group>
<kwd>Dasyatidae</kwd>
<kwd>elasmobranchs</kwd>
<kwd>hepatosomatic index</kwd>
<kwd>life history</kwd>
<kwd>pollution</kwd>
<kwd>size at maturity</kwd>
<kwd>South Pacific</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared financial support was received for this work and/or its publication. This work was funded by the PEUMP program within the PAGoDA Grant Agreement, key result area 6: &#x201c;Capacity built through education, training and research and development for key stakeholder groups in fisheries and marine resource management&#x201d;, led by the USP under the Institute of Marine Resources, Centre for Sustainable Futures. The PEUMP program is a regional initiative funded by the European Union and Government of Sweden to support the sustainable management and development of fisheries for food security and economic growth in the Pacific.</funding-statement>
</funding-group>
<counts>
<fig-count count="4"/>
<table-count count="0"/>
<equation-count count="0"/>
<ref-count count="76"/>
<page-count count="10"/>
<word-count count="4425"/>
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<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Marine Pollution</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Plastic waste accumulates in coastal areas due to tidal flow and gyre currents (<xref ref-type="bibr" rid="B17">Chassignet et&#xa0;al., 2021</xref>). Plastics &lt; 5mm are defined as microplastics (MP), and classified as primary, intentionally manufactured small particles, or secondary, derived from the breakdown of larger plastics (<xref ref-type="bibr" rid="B29">GESAMP, 2016</xref>). Coastal areas often show higher MP concentrations than offshore zones due to their proximity to human activities and land-based debris sources (<xref ref-type="bibr" rid="B18">Cordova et&#xa0;al., 2019</xref>). Fiji, located in the South Pacific Ocean, has a coastline of around 1,129 km (<xref ref-type="bibr" rid="B16">Central Intelligence Agency, 2025</xref>), and approximately half of its almost 900,000 inhabitants live in urban areas, predominantly along the coasts (<xref ref-type="bibr" rid="B26">Fiji Bureau of Statistics, 2024</xref>). Microplastic levels in Fiji&#x2019;s urban and rural subsurface coastal waters are comparable, suggesting that pollution sources are diffuse rather than localized (<xref ref-type="bibr" rid="B20">Dehm et&#xa0;al., 2020</xref>). Although coastal ecosystems are critical for livelihoods, especially through small-scale inshore fisheries (<xref ref-type="bibr" rid="B8">Andradi-Brown et&#xa0;al., 2022</xref>), the scale and type of MP contamination in locally captured marine resources are not well understood. For example, arc clams (<italic>Anadara</italic> spp.) collected in tidal flats around the capital Suva showed a 24% increase in MP contamination between 1980 and 2023 (<xref ref-type="bibr" rid="B58">Powell et&#xa0;al., 2025</xref>). Similarly, MPs were found in 81.8% of sediment samples and 67.5% of teleosts from the same area of Southeast Viti Levu (<xref ref-type="bibr" rid="B24">Ferreira et&#xa0;al., 2020</xref>).</p>
<p>In teleosts, MP contamination is associated with negative physiological effects, as plastics can accumulate in tissues such as liver, muscle, and brain, leading to toxicity (<xref ref-type="bibr" rid="B53">Parker et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B7">Ammar et&#xa0;al., 2022</xref>). This toxicity is enhanced by the ability of plastics to adsorb other contaminants, including persistent organic pollutants (<xref ref-type="bibr" rid="B42">Kinigopoulou et&#xa0;al., 2022</xref>), polycyclic aromatic hydrocarbons, insecticides, antibiotics, and heavy metals (<xref ref-type="bibr" rid="B40">Jos&#xe9; and Jordao, 2020</xref>; <xref ref-type="bibr" rid="B64">Sun et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B38">Huvet et&#xa0;al., 2025</xref>). The hepatosomatic index (HSI), the ratio of liver weight to total body weight, is widely used in teleosts to quantify nutritional status and metabolic investment, and is also relevant in elasmobranchs, where the liver is the main organ for lipid storage and detoxification (<xref ref-type="bibr" rid="B61">Reis and Figueira, 2020</xref>). Assessing HSI alongside MP contamination can help understand, whether exposure relates to energy reserves, physiological or environmental condition. However, most related work has focused on teleosts, with limited data for elasmobranchs, particularly for batoids (rays and skates) (<xref ref-type="bibr" rid="B22">Ebert and Cowley, 2009</xref>; <xref ref-type="bibr" rid="B4">Alkusairy et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B46">Marcon et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B50">Montero-Hern&#xe1;ndez et&#xa0;al., 2024</xref>). Overall, MP distribution across organs, particle types, and HSI-based condition in batoids remains poorly understood. To date, MP contamination has been examined in only 12 batoid species globally, with studies on coastal rays in the South Pacific being  particularly scarce (<xref ref-type="bibr" rid="B36">Gong et&#xa0;al., 2024</xref>).</p>
<p>In Fiji, batoids are a common but little-explored component of small-scale fishery activities. At least 19 species occur in Fijian waters (<xref ref-type="bibr" rid="B32">Glaus et&#xa0;al., 2024b</xref>), including the endemic Fiji maskray (<italic>Neotrygon romeoi</italic>; <xref ref-type="bibr" rid="B31">Glaus et&#xa0;al., 2025</xref>). The widespread Fiji maskray reaches approximately 400 mm disc width (DW) (<xref ref-type="bibr" rid="B33">Glaus et&#xa0;al., 2024a</xref>). The species inhabits sandy bottoms, seagrass beds, and coral reefs (<xref ref-type="bibr" rid="B31">Glaus et&#xa0;al., 2025</xref>). It is also the most frequently captured and traded batoid in Fiji (<xref ref-type="bibr" rid="B34">Glaus et&#xa0;al., 2024c</xref>). To date, MP contamination has not been quantified for the Fiji maskray. Establishing this baseline is needed to evaluate links to physiological condition and potential MP sources. We therefore aim to (1) quantify MP contamination and compare distributions between stomach and intestine; (2) characterize particle size, shape, and color; and (3) assess physiological condition using the HSI. Additionally, we estimate size at maturity for both sexes. This life history information complements the MP baseline and supports fisheries and ecosystem management of this widely fished endemic species.</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>Site description and specimen acquisition</title>
<p>The Suva&#x2013;Rewa&#x2013;Tailevu corridor (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Figure S1</bold></xref>), on the southeast coast of Fiji&#x2019;s main island Viti Levu (approx. 18&#xb0;S, 178&#xb0;E), is home to more than 250,000 people (<xref ref-type="bibr" rid="B75">Wilson, 2012</xref>; <xref ref-type="bibr" rid="B25">Fiji Bureau of Statistics, 2017</xref>). The area combines dense urban settlement with intensive agriculture, insufficient waste management, and complex coastal processes increasing the susceptibility to MP accumulation (<xref ref-type="bibr" rid="B21">Drova et&#xa0;al., 2025</xref>). The adjacent Rewa River and Delta contain essential elasmobranch habitats (<xref ref-type="bibr" rid="B13">Brown et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B30">Glaus et&#xa0;al., 2019</xref>). Fishers from this region regularly bring their catch to the municipal market in Suva, particularly on Saturdays, which marks the main market day in Fiji (<xref ref-type="bibr" rid="B34">Glaus et&#xa0;al., 2024c</xref>). Twenty-two Fiji maskray specimens were purchased from a known local small-scale fisher between April 2024 and March 2025. The study objectives were explained to the fisher, and verbal consent for the use of specimens in University of the South Pacific (USP) research was obtained. Rays were reportedly caught opportunistically during nearshore gillnet fishing; no Fiji maskrays were caught specifically for this study. Captures occurred between Nausori and the Rewa Delta, but GPS positions and exact catch sites were not disclosed. Specimens were immediately transported to the USP Laucala Campus, and stored at &#x2212;18 &#xb0;C until processing.</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Morphometrics, dissection, and organ digestion</title>
<p>Specimens were defrosted for approximately 20 h prior to measurements and dissection, rinsed with distilled water and dried. Specimens were weighed on an Ohaus Adventurer AX Precision Balance (model AX8201/E) to the nearest 0.01 g. Weight measurements included the head, trunk, pectoral, and pelvic fins, as tails had been cut off after capture to prevent injuries. Disc width in mm was measured on the dorsal side along the horizontal axis using a fish measuring board. Specimens were placed on a dissection tray, and a mid-ventral incision from the cloaca to the gill region was made with a sterile scalpel and forceps. To quantify MP contamination and compare presence between organs, the stomach and intestine were extracted. The liver was blotted dry with tissue paper and weighed to calculate the HSI. Liver color was recorded as a visual descriptor indicative for cell mutation (<xref ref-type="bibr" rid="B2">Agius, 1980</xref>; <xref ref-type="bibr" rid="B51">Neyr&#xe3;o et&#xa0;al., 2019</xref>), and classified as dark brown (DB) or light brown (LB). Stomach and intestine of each specimen were wrapped separately in aluminum foil, labeled, and stored at &#x2212;18 &#xb0;C until digestion. For digestion, stomach and intestine were processed separately. Each organ was placed into a labeled 600 mL glass beaker. A 10% Potassium Hydroxide, KOH, solution (volume &#x2265; 3&#xd7; tissue volume) was added to dissolve soft tissue and food residues. Beakers were covered with aluminum foil and incubated at 60 &#xb0;C for 48 h, with manual shaking after 24 h to ensure complete digestion (<xref ref-type="bibr" rid="B6">Amini-Birami et&#xa0;al., 2023</xref>). Digested material was then placed in a fume hood until further analysis.</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Microplastic isolation and identification</title>
<p>Digested material from each specimen and organ was filtered through a sieve stack (500, 250, 125, and 63 &#xb5;m) and allowed to settle for at least 3 min. To avoid MP cross-contamination, we followed procedures described in <xref ref-type="bibr" rid="B54">Pasalari et&#xa0;al. (2025)</xref>; <xref ref-type="bibr" rid="B67">Trindade et&#xa0;al. (2023)</xref>. Retained material was examined for MPs under an AmScope Stereo Microscope (SE306R-AZ-E1), using 2&#xd7; magnification for 500 &#xb5;m and 250 &#xb5;m fractions and 4&#xd7; for 125 &#xb5;m and 63 &#xb5;m fractions. For each observed MP particle, shape (fragment, fiber, film, foam, or microbead), sieve fraction, color, and the associated specimen ID were recorded in an Excel spreadsheet to ensure traceability. Microplastics were photographed using a Nikon Z8 with a 100mm f/2.8 Nikkor lens.</p>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>Size at maturity</title>
<p>Sex was determined by the presence of claspers (males, M) or their absence (females, F), which are visible from early development along the inner margin of the pelvic fins (<xref ref-type="bibr" rid="B5">Allen and Robertson, 1994</xref>). Immature males have flexible claspers with little or no calcification, whereas mature males exhibit elongated, rigid, and fully calcified claspers (<xref ref-type="bibr" rid="B63">Stevens and McLoughlin, 1991</xref>). Hence, the maturity of male Fiji maskrays was determined by taking measurements of the clasper size post cloaca and clasper from the pelvic axis and determining its calcification (<xref ref-type="bibr" rid="B15">Campbell et&#xa0;al., 2021</xref>). In female specimens, maturity was assessed visually based on ovarian and uterine development (<xref ref-type="bibr" rid="B56">Pierce et&#xa0;al., 2009</xref>). The uterus is presented as a pair of thin, tubular extensions leading from the cloaca, while the ovaries were bilobed and located dorsally. We determined the following maturity categories: (1) Juvenile: little or no ovarian development and/or thin strap-like left uterus, (2) Subadult: differentiated and non vitellogenic follicles and/or partially expanded left uterus, (3) Mature: vitellogenic follicles of &gt;1mm present in the ovary, left oviductal gland clearly differentiated from the ovary &amp; uterus, and/or left uterus &gt;10mm maximum width and trophonemata present. Juveniles and subadults were classified as immature.</p>
</sec>
<sec id="s2_5">
<label>2.5</label>
<title>Data analysis</title>
<p>The Excel data sheet (<xref ref-type="bibr" rid="B19">Davuke et&#xa0;al., 2025</xref>) was loaded into R Studio (<xref ref-type="bibr" rid="B60">R Core Team, 2025</xref>) with the readxl package (<xref ref-type="bibr" rid="B72">Wickham and Bryan, 2015</xref>). To clean the data, dplyr package was used (<xref ref-type="bibr" rid="B74">Wickham et&#xa0;al., 2014b</xref>). Additionally, tidyr allowed converting between long and wide data formats, and handled missing data values, which were earlier noted as &#x201c;NA&#x201d; (<xref ref-type="bibr" rid="B73">Wickham et&#xa0;al., 2014a</xref>). Microplastic contamination was expressed as mean &#xb1; standard deviation (SD). Specimens without MP were excluded from downstream analyses of MP characteristics (size, shape, color) distribution across organs (organs = stomach and intestine) or sexes. To test for differences in MP counts and MP characteristics among organs and between sexes, we fitted multifactor ANOVA models to log-transformed response variables. Model assumptions (normality and homoscedasticity) were evaluated using residual diagnostic plots. To complement the univariate analyses, we assessed multivariate differences in MP characteristic composition among organs using the R packages vegan (<xref ref-type="bibr" rid="B52">Oksanen et&#xa0;al., 2025</xref>) and cluster (<xref ref-type="bibr" rid="B44">Maechler et&#xa0;al., 2025</xref>).</p>
<p>To understand the physiological state and energy reserves, the HSI was calculated using the formula <inline-formula>
<mml:math display="inline" id="im1"><mml:mrow><mml:mi>H</mml:mi><mml:mi>S</mml:mi><mml:mi>I</mml:mi><mml:mo>=</mml:mo><mml:mo>(</mml:mo><mml:mfrac><mml:mrow><mml:mi>L</mml:mi><mml:mi>i</mml:mi><mml:mi>v</mml:mi><mml:mi>e</mml:mi><mml:mi>r</mml:mi><mml:mo>&#xa0;</mml:mo><mml:mi>W</mml:mi><mml:mi>e</mml:mi><mml:mi>i</mml:mi><mml:mi>g</mml:mi><mml:mi>h</mml:mi><mml:mi>t</mml:mi><mml:mo>&#xa0;</mml:mo><mml:mo stretchy="false">(</mml:mo><mml:mi>g</mml:mi><mml:mo stretchy="false">)</mml:mo></mml:mrow><mml:mrow><mml:mi>B</mml:mi><mml:mi>o</mml:mi><mml:mi>d</mml:mi><mml:mi>y</mml:mi><mml:mo>&#xa0;</mml:mo><mml:mi>W</mml:mi><mml:mi>e</mml:mi><mml:mi>i</mml:mi><mml:mi>g</mml:mi><mml:mi>h</mml:mi><mml:mi>t</mml:mi><mml:mo>&#xa0;</mml:mo><mml:mo stretchy="false">(</mml:mo><mml:mi>g</mml:mi><mml:mo stretchy="false">)</mml:mo></mml:mrow></mml:mfrac><mml:mo>)</mml:mo><mml:mn>100</mml:mn></mml:mrow></mml:math></inline-formula>. Since the measured weight excluded the tail (WT), we calculated two HSIs. First, HSI was computed using WT. Second, HSI was computed using an estimated total body weight. Total body weight (TW) was approximated by adding 2-5% percent to WT and averaging these four values to obtain the total-weight average (TWA) (e.g.</p>
<p><inline-formula>
<mml:math display="inline" id="im2"><mml:mrow><mml:mi>T</mml:mi><mml:mi>W</mml:mi><mml:mn>2</mml:mn><mml:mo>%</mml:mo><mml:mo>=</mml:mo><mml:mo stretchy="false">(</mml:mo><mml:mfrac><mml:mrow><mml:mi>W</mml:mi><mml:mi>T</mml:mi></mml:mrow><mml:mrow><mml:mn>100</mml:mn></mml:mrow></mml:mfrac><mml:mo stretchy="false">)</mml:mo><mml:mo stretchy="false">(</mml:mo><mml:mn>100</mml:mn><mml:mo>%</mml:mo><mml:mo>+</mml:mo><mml:mi>a</mml:mi><mml:mi>d</mml:mi><mml:mi>d</mml:mi><mml:mi>e</mml:mi><mml:mi>d</mml:mi><mml:mo>&#xa0;</mml:mo><mml:mi>t</mml:mi><mml:mi>a</mml:mi><mml:mi>i</mml:mi><mml:mi>l</mml:mi><mml:mo>&#xa0;</mml:mo><mml:mi>w</mml:mi><mml:mi>e</mml:mi><mml:mi>i</mml:mi><mml:mi>g</mml:mi><mml:mi>h</mml:mi><mml:mi>t</mml:mi><mml:mo>&#xa0;</mml:mo><mml:mi>o</mml:mi><mml:mi>f</mml:mi><mml:mo>&#xa0;</mml:mo><mml:mn>2</mml:mn><mml:mo>%</mml:mo><mml:mo stretchy="false">)</mml:mo></mml:mrow></mml:math></inline-formula>. Differences in HSI between liver color groups were assessed with a One Way ANOVA. To analyze an association between liver color and sex, maturity, or size (DW), irrespective of MP contamination, we used a binomial generalized linear model (GLM) with the car package (<xref ref-type="bibr" rid="B27">Fox and Weisberg, 2019</xref>). Spearman rank correlations tested associations between HSI or DW and MP count. Size at maturity was summarized in sex-specific boxplots.</p>
<p>Figures were generated in R with qqplot2 (<xref ref-type="bibr" rid="B71">Wickham, 2016</xref>), Adobe Photoshop (<xref ref-type="bibr" rid="B1">Adobe Inc, 2023</xref>), and QGIS (<xref ref-type="bibr" rid="B59">QGIS Development Team, 2025</xref>).</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<p>Of 22 Fiji maskray specimens collected, three were excluded due to measurement uncertainties: one from all analyses (TV_Neotrygon_sp19), and additionally one from HSI analysis (TV_Neotrygon_sp8), and one from size-at-maturity assessments (TV_Neotrygon_sp5).</p>
<sec id="s3_1">
<label>3.1</label>
<title>Microplastic presence &amp; distribution across stomach and intestine</title>
<p>Of 21 Fiji maskrays, MPs were detected in 15 individuals (~71.4%): in the stomach in three (~14.3%), the intestine only in one (~4.8%), and both organs in 11 (~52.4%). Six (~28.6%) had no MPs. Among individuals, the mean was 6.76 &#xb1; 7.80 particles per specimen. Particle counts did not differ between organs or sexes (<italic>p</italic> = 0.331, <italic>p</italic> = 0.222; <xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1</bold></xref>).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>MP presence in the gastrointestinal tract (stomach and intestine) of 21 investigated Fiji maskray specimens.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-12-1734954-g001.tif">
<alt-text content-type="machine-generated">Stacked bar chart titled &#x201c;Microplastic presence in Fiji maskrays.&#x201d; It shows the microplastic distribution in rays (as percentage): 28.57 percent neither, 52.38 percent both intestines and stomach, 4.76 percent intestines only, and 14.29 percent stomach only.</alt-text>
</graphic></fig>
<p>Microplastic sizes ranged from 63 to 500 &#xb5;m in both stomach and intestine. Particles of 63 &#xb5;m were most frequent, accounting for 34.8% of total MPs in the stomach and 22.0% in the intestine. Particles of 125 &#xb5;m represented 26.1% and 34.0%, 250 &#xb5;m particles 21.7% and 20.0%, and 500 &#xb5;m particles 17.4% and 24.0% in stomach and intestine, respectively. No significant differences in particle size distribution were detected between organs or sexes (<italic>p</italic> = 0.379, <italic>p</italic> = 0.369).</p>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Microplastic identification</title>
<p>Among the 15 contaminated Fiji maskrays, fragments were most abundant (n = 61), followed by films (n = 40) and fibers (n = 36). Shape distributions did not differ between organs or sexes for fibers, films, foams, fragments, or microbeads (<italic>p</italic> = 0.589, <italic>p</italic> = 0.717). In 12 contaminated individuals, white (n = 38) and silver (n = 33) dominated. Color distributions likewise did not differ between organs or sexes for black, blue, green, silver, transparent, or white (<italic>p</italic> = 0.483, <italic>p</italic> = 0.913). Overall, MP characteristics did not differ across organs (PERMANOVA, F = 0.911, R<sup>2</sup> = 0.016, <italic>p</italic> = 0.409; <xref ref-type="fig" rid="f2"><bold>Figures&#xa0;2</bold></xref>, <xref ref-type="fig" rid="f3"><bold>3</bold></xref>). Disc width was positively correlated with total MP count (Spearman &#x3c1; = 0.562, <italic>p</italic> = 0.008).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Heatmap of microplastic counts in the stomach and intestine of 15 Fiji maskrays with at least one particle. Particles are classified by shape and color; &#x201c;NA&#x201d; denotes unrecorded color (observed in three specimens). Shading reflects total counts per cell; 142 particles were recorded in total.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-12-1734954-g002.tif">
<alt-text content-type="machine-generated">Heatmap showing microplastic count by shape and color in stomach and intestine. Fiber microplastics are most abundant in green, with counts of 12. Film microplastics peak in silver at 33. Foam is minimal. Fragments are highest in white at 38. Microbeads are sparse. Total sample size is 15.</alt-text>
</graphic></fig>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Types of microplastics identified in the gastrointestinal tract of Fiji maskrays. <bold>(A)</bold> Green fiber; <bold>(B)</bold> Blue fragment with irregular edges; <bold>(C)</bold> Monofilament-like fiber with surface abrasions and a visible knot.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-12-1734954-g003.tif">
<alt-text content-type="machine-generated">Three panels labeled A, B, and C show microscopic images of micrplastics. Panel A displays a green fiber. Panel B presents a blue fragment with irregular edges. Panel C showcases a thin, elongated portion. Scale bar indicating 0.5 millimeters.</alt-text>
</graphic></fig>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Health, energy reserves, and physiological state</title>
<p>The HSI was calculated for 20 Fiji maskrays. Hepatosomatic index (WT and TWA) did not differ significantly between liver color groups (<italic>p =</italic> 0.052). Median values are 2.579 (DB) and 3.903 (LB) for WT, and 2.492 (DB) and 3.771 (LB) for TWA. However, no significant association between liver color and sex, maturity, DW or MP count was noted (GLM, <italic>p</italic> &gt; 0.05). Although a weak to moderate negative correlation was found between MP presence and HSI (WT and TWA), this relationship was not statistically significant (<italic>p =</italic> 0.128, &#x3c1; = &#x2013;0.352; <xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Table S1</bold></xref>).</p>
</sec>
<sec id="s3_4">
<label>3.4</label>
<title>Size at maturity</title>
<p>Size and sex were determined for 21 Fiji maskrays. One female (TV_Neotrygon_sp5) had undetermined maturity and was excluded, leaving 20 individuals for analysis (12 females, 60%; eight males, 40%). Among females, four were immature (33.3%; 293&#x2013;361 mm DW; mean 327 &#xb1; 2.49 mm) and eight were mature (66.7%; 365&#x2013;424 mm DW; mean 394 &#xb1; 2.55 mm). Among males, one was immature (12.5%; 311 mm DW) and seven were mature (87.5%; 369&#x2013;395 mm DW; mean 381 &#xb1; 1.03 mm) (<xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4</bold></xref>). Males reached maturity at smaller maximum sizes than females.</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Size at maturity of the Fiji maskray. Disc width (mm) of immature and mature individuals is shown separately for females (red) and males (blue).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-12-1734954-g004.tif">
<alt-text content-type="machine-generated">Box plot showing the disc width at maturity for Fiji maskrays, with data for females and males. Immature females measured 293&#x2013;361 mm, while mature females ranged from 365&#x2013;424 mm. The only immature male measured 311 mm, while mature males ranged between 369 and 395 mm.</alt-text>
</graphic>
</fig>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<sec id="s4_1">
<label>4.1</label>
<title>Microplastic presence &amp; distribution across stomach and intestine</title>
<p>Plastics are ubiquitously present across the lithosphere, hydrosphere and biosphere (<xref ref-type="bibr" rid="B76">Ziani et&#xa0;al., 2023</xref>), affecting marine ecosystems via habitat smothering, enhanced bioavailability, and toxin transfer along food chains (<xref ref-type="bibr" rid="B39">Jiang, 2018</xref>). This study reports the first data on MP contamination in the Fiji maskray from the Pacific island region. Overall, 71.43% of examined Fijian maskray individuals contained MPs, with contamination being somewhat higher in the stomach than in the intestine, albeit not significantly (<italic>p =</italic> 0.331; <xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1</bold></xref>). Microplastics ranged from 63 to 500 &#xb5;m, with a mean of 6.76 &#xb1; 7.80 particles per specimen. Comparable contamination has been reported for other local marine taxa. For example, freshwater mussels (<italic>Batissa violacea</italic>) and shellfish (<italic>Anadara antiquata</italic>) from Viti Levu rivers had 0.9&#x2013;5.9 MP particles per specimen (<xref ref-type="bibr" rid="B12">Barrientos et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B58">Powell et&#xa0;al., 2025</xref>). Among teleost fishes in Viti Levu, 67 - 74% of individuals contained MPs with mean loads of 1.8&#x2013;17.0 particles per specimen, varying across locations (<xref ref-type="bibr" rid="B24">Ferreira et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B21">Drova et&#xa0;al., 2025</xref>).</p>
<p>Globally, demersal elasmobranchs average 4.0 &#xb1; 7.32 particles per specimen (<xref ref-type="bibr" rid="B36">Gong et&#xa0;al., 2024</xref>). Lower MP counts, averaging 2.4&#x2013;3.8 particles per specimen, were reported for the Longnose stingray (<italic>Hypanus guttatus</italic>) and the Xingu freshwater stingray (<italic>Potamotrygon leopoldi</italic>) in Brazil. This likely reflects local exposure, with urban runoff and plastic waste retained in flooded forests, increasing fragmentation but limiting availability in main foraging channels (<xref ref-type="bibr" rid="B55">Pegado et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B67">Trindade et&#xa0;al., 2023</xref>). However, higher MP contamination (10.2 &#xb1; 7.4 MP particles/specimen) was detected in Haller&#x2019;s Round stingrays (<italic>Urobatis halleri</italic>) from California, USA, an important small-scale fisheries habitat (<xref ref-type="bibr" rid="B57">Pinho et&#xa0;al., 2022</xref>). Nonetheless, compared to the Fiji maskray, stingrays from Brazil and California showed lower MP contamination rates across sample individuals, ranging from 30 - 60% (<xref ref-type="bibr" rid="B55">Pegado et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B57">Pinho et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B67">Trindade et&#xa0;al., 2023</xref>). Such differences may reflect lower local inputs, different sampling seasons or methods, or contrasts in habitat use and diet. Although the Fiji maskray shows higher MP counts than examined ray species in Brazil and slightly lower MP counts than rays in California, values fall within the range reported for benthic and demersal taxa around Viti Levu (<xref ref-type="bibr" rid="B24">Ferreira et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B12">Barrientos et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B21">Drova et&#xa0;al., 2025</xref>; <xref ref-type="bibr" rid="B58">Powell et&#xa0;al., 2025</xref>). This pattern points to local exposure pathways. The Suva&#x2013;Rewa&#x2013;Tailevu corridor has dense settlement and active small-scale fishery activities. Gillnets and other plastic gear that, when lost or discarded, degrade <italic>in situ</italic> thereby adding particles to nearshore habitats (<xref ref-type="bibr" rid="B9">Andrady, 2017</xref>; <xref ref-type="bibr" rid="B35">Godoy et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B24">Ferreira et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B12">Barrientos et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B21">Drova et&#xa0;al., 2025</xref>; <xref ref-type="bibr" rid="B58">Powell et&#xa0;al., 2025</xref>). Also, nearby agriculture and household runoff further add plastics and microfragments, especially along densely settled corridors, with likely amplified inputs from urban and peri-urban areas such as Nausori. Local hydrodynamics and retention in bays and reef-fringed lagoons can keep particles in contact with benthic feeders longer than in open coasts.</p>
</sec>
<sec id="s4_2">
<label>4.2</label>
<title>Microplastic identification</title>
<p>Understanding the origin of MPs is critical for reducing their presence and impacts on marine ecosystems. Microplastics are commonly categorized as pellets, fragments, films, or fibers (<xref ref-type="bibr" rid="B37">Guo and Wang, 2019</xref>). Microplastics found in the Fiji maskray were dominated by fragments, film, and fibers, with the majority being white or silver (<xref ref-type="fig" rid="f2"><bold>Figures&#xa0;2</bold></xref>, <xref ref-type="fig" rid="f4"><bold>4</bold></xref>). Teleost of Southeast Viti Levu showed similarities in shape dominance of fragments and fibers, and high SD of MP count between individuals (<xref ref-type="bibr" rid="B24">Ferreira et&#xa0;al., 2020</xref>). Southeast Viti Levu is strongly affected by wind, waves, and frequent flooding during cyclone season (<xref ref-type="bibr" rid="B45">Mangubhai et&#xa0;al., 2019</xref>). Insufficient waste management coupled with extreme weather conditions likely accelerates plastic breakdown (<xref ref-type="bibr" rid="B70">Varea et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B21">Drova et&#xa0;al., 2025</xref>), whereas plastics are washed through the continuum, eventually reaching the coastal area. Once plastics reach the coast, weathering can slowly break down larger particles into MPs. Also, strong UV radiation increases the degradation process of plastics (<xref ref-type="bibr" rid="B28">GESAMP, 2015</xref>). Additionally, discoloration of plastic particles occurs in advanced stages of degradation (<xref ref-type="bibr" rid="B65">Sutkar et&#xa0;al, 2023</xref>), possibly explaining the dominance of white and silver MPs in the Fiji maskray specimens.</p>
<p>In examined rays from other regions, fibers and blue colored MPs were predominant (<xref ref-type="bibr" rid="B55">Pegado et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B57">Pinho et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B67">Trindade et&#xa0;al., 2023</xref>). Fibers most likely originated from textile abrasion during washing (<xref ref-type="bibr" rid="B49">Mishra et&#xa0;al., 2024</xref>). Population density peaks in Suva, and comparably lower densities elsewhere within the Suva&#x2013;Rewa&#x2013;Tailevu corridor may translate into lower fiber inputs from domestic sources. By contrast, fragments and films are more likely to originate from discarded packaging and urban runoff (<xref ref-type="bibr" rid="B14">Burns and Boxall, 2018</xref>; <xref ref-type="bibr" rid="B3">Akdogan and Guven, 2019</xref>). Furthermore, MPs ingested by rays (<xref ref-type="bibr" rid="B57">Pinho et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B54">Pasalari et&#xa0;al., 2025</xref>) or demersal fish (<xref ref-type="bibr" rid="B24">Ferreira et&#xa0;al., 2020</xref>) are likely linked to MPs found in the sediments of the species habitat, its feeding strategy of how to obtain and select food sources, or MP contaminated prey. Fiji maskrays occur from the littoral zone to at least 23 m depth, inhabiting sandy bottoms, seagrass beds, muddy&#x2013;sandy substrates, and coral reefs (<xref ref-type="bibr" rid="B31">Glaus et&#xa0;al., 2025</xref>). Microplastics that reach the ocean may sink and accumulate in benthic habitats (<xref ref-type="bibr" rid="B29">GESAMP, 2016</xref>). Given its nearshore habitat and likely benthic feeding, the Fiji maskray may be exposed to MP from urban runoff, littering, and textile fibers released via wastewater. We found no relevant sex-specific differences in MP uptake, suggesting that females and males either co-occur in the same habitats or that different habitats are affected to a comparable degree by MP pollution. The relatively high SD in particles per specimen may reflect this spatial heterogeneity or differing foraging histories. Due to the small sample size, variability is high, and a few extreme values can disproportionately affect the variance. Sampling was conducted year-round with the same fisher and methods within the same area, reducing procedural variation. However, as GPS positions were not disclosed, minor differences in capture location may have contributed to the observed variability. Nonetheless, it is plausible that Fiji maskrays are exposed to MPs throughout their life (<xref ref-type="bibr" rid="B24">Ferreira et&#xa0;al., 2020</xref>), corroborated by the positive monotonic relationship between size (DW) and MP (<italic>p =</italic> 0.008, &#x3c1; = 0.562). Contrastingly, <xref ref-type="bibr" rid="B67">Trindade et&#xa0;al. (2023)</xref> found no significant correlation between number of plastic particles and ray size (DW), possibly indicating that MP particles do not bioaccumulate.</p>
</sec>
<sec id="s4_3">
<label>4.3</label>
<title>Health, energy reserves, and physiological conditions</title>
<p>Hepatosomatic index, being a morphometric index, is commonly used as a biological indicator, however its sensitivity requires careful interpretation (<xref ref-type="bibr" rid="B47">Martins et&#xa0;al., 2023</xref>). Although used to assess how environmental factors influence the health or physiological state of elasmobranchs, it can vary across species, seasons and environmental conditions (<xref ref-type="bibr" rid="B61">Reis and Figueira, 2020</xref>). Relative to values reported for rays sampled in Australia, Fiji maskray HSI appears lower than that of fiddler rays (<italic>Trygonorrhina fasciata</italic>; <xref ref-type="bibr" rid="B61">Reis and Figueira, 2020</xref>), but within the range reported for other members of the <italic>Neotrygon</italic> species complex (<xref ref-type="bibr" rid="B56">Pierce et al., 2009</xref>). Higher HSI values can be correlated with reproductive readiness (<xref ref-type="bibr" rid="B56">Pierce et&#xa0;al., 2009</xref>; <xref ref-type="bibr" rid="B61">Reis and Figueira, 2020</xref>). The weak to moderate negative correlation between MP presence and HSI, although not statistically significant, may indicate a subtle physiological response. Microplastic contamination can affect an individual&#x2019;s molecular, biochemical, and cellular pathways (<xref ref-type="bibr" rid="B11">Avio et&#xa0;al., 2017</xref>), possibly leading to oxidative damage in gills and muscles, endocrine disruption, or cell mutation (<xref ref-type="bibr" rid="B10">A&#x161;monait&#x117; et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B69">Varea et&#xa0;al., 2021</xref>). For example, in two species of catsharks (<italic>Scyliorhinus canicula</italic> &amp; <italic>Galeus melastomus</italic>) from the Balearic Islands, with high MP contamination the detoxification process was activated and caused changes at cellular level (<xref ref-type="bibr" rid="B66">Torres et&#xa0;al., 2024</xref>). In addition, MP count had no significant effect on liver color, nor was liver color associated with sex, maturity, or body size. Given the relatively low HSI values and instances of liver darkening in Fiji maskrays, potential links between MP contamination and toxicological effects merit further investigation. Although total body weight was approximated using different tail-weight percentages to derive TWA, results were consistent across calculations.</p>
</sec>
<sec id="s4_4">
<label>4.4</label>
<title>Size at maturity</title>
<p>Many batoids generally grow slowly, mature late, and have low fecundity compared to teleost fishes (<xref ref-type="bibr" rid="B62">Stevens et&#xa0;al., 2000</xref>; <xref ref-type="bibr" rid="B56">Pierce et&#xa0;al., 2009</xref>). Here, immature females measured 293&#x2013;361 mm DW (n = 4), while mature females ranged from 365&#x2013;424 mm (n = 9; <xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3</bold></xref>). We suggest that females reach sexual maturity at approximately 360&#x2013;365 mm DW. The only immature male measured 311 mm DW, while mature males ranged between 369 and 395 mm (n = 7), pointing at a similar size at maturity, although more specimens are required to confirm this. Within the <italic>Neotrygon</italic> species complex, which has undergone several taxonomic revisions (<xref ref-type="bibr" rid="B43">Last et al., 2016</xref>), the southeast Queensland form previously assigned to <italic>N. kuhlii</italic> likely corresponds to other members of the complex, including the Coral Sea maskray (<italic>N. trigonoides</italic>) and the Australian bluespotted maskray (<italic>N. australiae</italic>). These species reach a larger maximum size of approximately 470 mm DW, with females maturing at around 314 mm and males at 294 mm (<xref ref-type="bibr" rid="B56">Pierce et&#xa0;al., 2009</xref>). Although the Fiji maskray reaches a smaller maximum size than other members of the <italic>Neotrygon</italic> species complex, it matures at a relatively larger proportion of its adult size. The warmer Fijian water could support faster somatic growth, where elevated temperatures may accelerate growth rates (<xref ref-type="bibr" rid="B41">Kingsolver, 2009</xref>) and size attainment but delay sexual maturation if more energy is initially allocated to growth. High prey availability in Fiji&#x2019;s estuarine habitats may also support faster growth, with reproduction beginning only once sufficient energy reserves are reached. Future work examining vertebral band deposition (<xref ref-type="bibr" rid="B48">Mej&#xed;a-Falla et&#xa0;al., 2014</xref>) would help determine growth rates and age at maturity in the Fiji maskray. Measuring sex pheromones in females could further clarify reproductive timing and temperature-related patterns (<xref ref-type="bibr" rid="B23">Elisio et&#xa0;al., 2019</xref>).</p>
<p>Fiji maskrays, like other co-occurring taxa, are exposed to locally derived MPs, with contamination increasing with body size yet not clearly reflected in hepatosomatic condition; future non-lethal, long-term field studies with larger sample sizes should target sublethal toxicological effects using biomarkers and repeated-measure condition indices and assess population-level consequences of chronic exposure. In parallel, systematic MP assessments and hotspot mapping (<xref ref-type="bibr" rid="B28">GESAMP, 2015</xref>), aligned with initiatives such as &#x201c;Plastic Free Fiji&#x201d; (<xref ref-type="bibr" rid="B68">United Nations, 2021</xref>), can help guide waste management and mitigation efforts to reduce plastic pollution pressure on South Pacific coastal ecosystems.</p>
</sec>
</sec>
</body>
<back>
<sec id="s5" sec-type="data-availability">
<title>Data availability statement</title>
<p>The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found below: Figshare: <uri xlink:href="https://doi.org/10.6084/m9.figshare.30358048">https://doi.org/10.6084/m9.figshare.30358048</uri>.</p></sec>
<sec id="s6" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The research study was approved by the Pacific-European Union Marine Partnership (PEUMP) program Project Management and the Head of the School of Agriculture, Geography, Environment, Ocean and Natural Sciences at the USP, Suva, Fiji. No animal was killed specifically for this study. The study was conducted in accordance with the local legislation and institutional requirements.</p></sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>RD: Conceptualization, Validation, Project administration, Data curation, Writing &#x2013; review &amp; editing, Methodology, Investigation, Writing &#x2013; original draft, Visualization, Formal analysis. WS: Methodology, Writing &#x2013; original draft, Resources, Writing &#x2013; review &amp; editing. TV: Writing &#x2013; review &amp; editing, Writing &#x2013; original draft, Methodology, Visualization. KG: Funding acquisition, Supervision, Project administration, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing, Resources, Methodology, Conceptualization, Validation.</p></sec>
<ack>
<title>Acknowledgments</title>
<p>We thank Mr. Suneel Salen for providing the Fiji maskray specimens used in this study. We are thankful for Shyna Prasad&#x2019;s help during initial lab and analytical work. We appreciate the PEUMP project team and the staff of USP Centre for Sustainable Futures for their ongoing support during the study. We thank Amanda Ford for her advice and guidance. Special thanks go to Sharon Appleyard for her helpful review prior to journal submission. KG likes to thank the Deutsche Stiftung Meeresschutz for their continuous support and advise.</p>
</ack>
<sec id="s9" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declared that this work 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="s10" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declare that Generative AI was used in the creation of this manuscript. The authors declare that the generative AI ChatGPT was used for coding purposes in R Studio and for grammar checks. Additionally, Scopus AI was used in literature research. All content created was reviewed, edited, and verified by the authors.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p></sec>
<sec id="s11" 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="s12" 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.2025.1734954/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fmars.2025.1734954/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Supplementaryfile1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
<supplementary-material xlink:href="Supplementaryfile2.docx" id="SM2" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/></sec>
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