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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.2023.1201078</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>Zoop to poop: assessment of microparticle loads in gray whale zooplankton prey and fecal matter reveal high daily consumption rates</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Torres</surname>
<given-names>Leigh G.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<xref ref-type="author-notes" rid="fn005">
<sup>&#x2021;</sup>
</xref>
<xref ref-type="author-notes" rid="fn006">
<sup>&#xa7;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/462841"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Brander</surname>
<given-names>Susanne M.</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn005">
<sup>&#x2021;</sup>
</xref>
<xref ref-type="author-notes" rid="fn006">
<sup>&#xa7;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/999903"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Parker</surname>
<given-names>Julia I.</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Bloom</surname>
<given-names>Elissa M.</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
<xref ref-type="author-notes" rid="fn006">
<sup>&#xa7;</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Norman</surname>
<given-names>Robyn</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
<xref ref-type="author-notes" rid="fn006">
<sup>&#xa7;</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Van Brocklin</surname>
<given-names>Jennifer E.</given-names>
</name>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Lasdin</surname>
<given-names>Katherine S.</given-names>
</name>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Hildebrand</surname>
<given-names>Lisa</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn006">
<sup>&#xa7;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1188254"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Geospatial Ecology of Marine Megafauna Lab, Marine Mammal Institute, and Department of Fisheries, Wildlife, and Conservation Sciences, Oregon State University</institution>, <addr-line>Newport, OR</addr-line>, <country>United States</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Department of Fisheries, Wildlife, and Conservation Sciences, Coastal Oregon Marine Experiment Station, Oregon State University</institution>, <addr-line>Newport, OR</addr-line>, <country>United States</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Department of Integrative Biology, Oregon State University</institution>, <addr-line>Corvallis, OR</addr-line>, <country>United States</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>College of Engineering, School of Chemical, Biological, and Environmental Engineering, Oregon State University</institution>, <addr-line>Corvallis, OR</addr-line>, <country>United States</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Department of Integrative Biology, Benthic Ecology Lab, Oregon State University</institution>, <addr-line>Newport, OR</addr-line>, <country>United States</country>
</aff>
<aff id="aff6">
<sup>6</sup>
<institution>Department of Fisheries, Wildlife, and Conservation Sciences, Oregon State University</institution>, <addr-line>Corvallis, OR</addr-line>, <country>United States</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Lyne Morissette, M &#x2013; Expertise Marine, Canada</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Penelope Kate Lindeque, Plymouth Marine Laboratory, United Kingdom; Giuseppe Suaria, National Research Council, Italy</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Leigh G. Torres, <email xlink:href="mailto:leigh.torres@oregonstate.edu">leigh.torres@oregonstate.edu</email>
</p>
</fn>
<fn fn-type="present-address" id="fn003">
<p>&#x2020;Present addresses: Elissa M. Bloom, Allogene Therapeutics, South San Francisco, CA, United States; Robyn Norman, Department of Biological Sciences, Cal Poly Humboldt, Arcata, CA, United States; Katherine S. Lasdin, School of Aquatic and Fishery Science, University of Washington, Seattle, WA, United States</p>
</fn>
<fn fn-type="other" id="fn006">
<p>&#x2021;ORCID: Leigh G. Torres, <uri xlink:href="https://orcid.org/0000-0002-2643-3950">orcid.org/0000-0002-2643-3950</uri>; Susanne M. Brander, <uri xlink:href="https://orcid.org/0000-0002-2305-5659">orcid.org/0000-0002-2305-5659</uri>; Elissa M. Bloom, <uri xlink:href="https://orcid.org/0000-0001-8976-2578">orcid.org/0000-0001-8976-2578</uri>; Robyn Norman, <uri xlink:href="https://orcid/org/0000-0003-3127-5915">orcid/org/0000-0003-3127-5915</uri>; Lisa Hildebrand, <uri xlink:href="https://orcid.org/0000-0001-5688-1116">orcid.org/0000-0001-5688-1116</uri>
</p>
</fn>
<fn fn-type="equal" id="fn005">
<p>&#x2021;These authors have contributed equally to this work and share first authorship</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>26</day>
<month>06</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>10</volume>
<elocation-id>1201078</elocation-id>
<history>
<date date-type="received">
<day>06</day>
<month>04</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>30</day>
<month>05</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2023 Torres, Brander, Parker, Bloom, Norman, Van Brocklin, Lasdin and Hildebrand</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Torres, Brander, Parker, Bloom, Norman, Van Brocklin, Lasdin and Hildebrand</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 ocean continues to be a sink for microparticle (MP) pollution, which includes microplastics and other anthropogenic debris. While documentation of MP in marine systems is now common, we lack information on rates of MP ingestion by baleen whales and their prey. We collected and assessed MP loads in zooplankton prey and fecal samples of gray whales (<italic>Eschrichtius robustus</italic>) feeding in coastal Oregon, USA and produced the first estimates of baleen whale MP consumption rates from empirical data of zooplankton MP loads (i.e., not modeled). All zooplankton species examined were documented gray whale prey items (<italic>Atylus tridens, Holmesimysis sculpta, Neomysis rayii</italic>) and contained an average of 4 MP per gram of tissue, mostly of the microfiber morphotype. We extrapolated MP loads in zooplankton prey to estimate the daily MP consumption rates of pregnant and lactating gray whales, which ranged between 6.5 and 21 million MP/day. However, these estimates do not account for MP ingested from ambient water or benthic sediments, which may be high for gray whales given their benthic foraging strategy. We also assessed MP loads in fecal samples from gray whales feeding in the same spatio-temporal area and detected MP in all samples examined, which included microfibers and significantly larger morphotypes than in the zooplankton. We theorize that gray whales ingest MP via both indirect trophic transfer from their zooplankton prey and directly through indiscriminate consumption of ambient MPs when foraging benthically where they consume larger MP morphotypes that have sunk and accumulated on the seafloor. Hence, our estimated daily MP consumption rates for gray whales are likely conservative because they are only based on indirect MP ingestion via prey. Our results improve the understanding of MP loads in marine ecosystems and highlight the need to assess the health impacts of MP consumption on zooplankton and baleen whales, particularly due to the predominance of microfibers in samples, which may be more toxic and difficult to excrete than other MP types. Furthermore, the high estimated rates of MP consumption by gray whales highlights the need to assess health consequences to individuals and subsequent scaled-up effects on population vital rates.</p>
</abstract>
<kwd-group>
<kwd>microfiber</kwd>
<kwd>microparticles (MPs)</kwd>
<kwd>microplastic (MP)</kwd>
<kwd>gray whale</kwd>
<kwd>zooplankton</kwd>
<kwd>trophic transfer</kwd>
<kwd>benthic foraging</kwd>
<kwd>consumption rates</kwd>
</kwd-group>
<counts>
<fig-count count="4"/>
<table-count count="1"/>
<equation-count count="1"/>
<ref-count count="71"/>
<page-count count="11"/>
<word-count count="6002"/>
</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">
<label>1</label>
<title>Introduction</title>
<p>As intensive research on microplastics enters its second decade, the issue of plastic pollution has emerged alongside climate change as one of the most pressing environmental challenges. Plastic waste is predicted to increase exponentially out to 2050 and beyond (<xref ref-type="bibr" rid="B8">Borrelle et&#xa0;al., 2020</xref>), and scientists have recently called for a cap on virgin plastic production by 2040 (<xref ref-type="bibr" rid="B5">Bergmann et&#xa0;al., 2022</xref>). The ocean continues to be a sink for microplastic pollution, and is now documented to be a secondary source of microplastics to atmospheric and terrestrial ecosystems as well (<xref ref-type="bibr" rid="B1">Allen et&#xa0;al., 2020</xref>). Marine organisms are exposed to this complex suite of microplastic pollutants (<xref ref-type="bibr" rid="B54">Rochman et&#xa0;al., 2019</xref>) via water, sediment, and consumption of prey items, with a sizeable portion of these microscopic particles tracked back to stormwater, road wear, and laundering/waste treatment practices (<xref ref-type="bibr" rid="B11">Brahney et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B12">Brander et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B48">Miller et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B55">Ross et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B33">Granek et&#xa0;al., 2022</xref>). The impacts of microplastics on organisms are diverse and dependent partially on trophic level and life history, but the mechanisms of toxicity most consistently observed include (1) food dilution, resulting in reduced nutrient absorption and thus reduced growth, and (2) oxidative damage caused by small microplastics that can potentially translocate between organs of the organisms that ingest or inhale them (<xref ref-type="bibr" rid="B40">Jacob et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B47">Mehinto et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B62">Thornton Hampton et&#xa0;al., 2022</xref>). Microplastic presence has been demonstrated in many marine organisms, particularly those consumed as seafood (<xref ref-type="bibr" rid="B45">Li et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B4">Baechler et&#xa0;al., 2020a</xref>), but also in wild zooplankton that form the base of many marine trophic webs (<xref ref-type="bibr" rid="B24">Desforges et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B10">Botterell et&#xa0;al., 2022</xref>). Given that lower trophic level organisms are estimated to ingest higher levels of microplastics (<xref ref-type="bibr" rid="B66">Walkinshaw et&#xa0;al., 2020</xref>) and that microplastics-driven food dilution is occurring across organisms of all sizes (<xref ref-type="bibr" rid="B58">Siddiqui et&#xa0;al., 2022</xref>), investigations of microplastic loads in zooplankton and their potential impact on food webs are critical to more comprehensively understand ecological impacts.</p>
<p>The Pacific Northwest (PNW) seaboard of North America is an important habitat for a variety of ecologically important marine species, including gray whales (<italic>Eschrichtius robustus</italic>) that use the coastal region as a foraging ground from June through October each year (<xref ref-type="bibr" rid="B17">Calambokidis et&#xa0;al., 2019</xref>). Although much of the PNW coast is relatively pristine compared to more industrialized regions, microplastics have been confirmed in a number of different sample types collected in the region (<xref ref-type="bibr" rid="B3">Baechler et&#xa0;al., 2020b</xref>; <xref ref-type="bibr" rid="B34">Harris et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B60">Talbot et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B42">Lasdin et&#xa0;al., 2023</xref>). The majority of these microplastics are fibers, which aligns with other studies globally (<xref ref-type="bibr" rid="B2">Athey and Erdle, 2021</xref>; <xref ref-type="bibr" rid="B33">Granek et&#xa0;al., 2022</xref>). Given that fibers may be more toxic than other polymer shapes (<xref ref-type="bibr" rid="B59">Stienbarger et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B47">Mehinto et&#xa0;al., 2022</xref>), this abundance of fibers is of great concern, especially for zooplankton which form the base of marine food webs and are a primary dietary component for marine mammals including gray whales. [Hereafter we refer to microplastics as microparticles (MPs) given that not all microparticles are synthetic in composition, as recommended in (<xref ref-type="bibr" rid="B48">Miller et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B42">Lasdin et&#xa0;al., 2023</xref>)].</p>
<p>Zooplankton are important to multiple predator types, including invertebrates, fish, seabirds, and marine mammals that depend on their abundance to support their energetic demands. Therefore, trophic transfer of MP and the potential for bioaccumulation of associated contaminants from zooplankton through the food web is a significant concern (<xref ref-type="bibr" rid="B49">Nelms et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B69">Zantis et&#xa0;al., 2021</xref>). In the coastal region of Oregon, USA, zooplankton are key species in the nearshore ecosystem where they form the food base for commercially and recreationally harvested fish (<xref ref-type="bibr" rid="B9">Bosley et&#xa0;al., 2014</xref>) and gray whales during their ~6 month foraging season (<xref ref-type="bibr" rid="B63">Torres et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B35">Hildebrand et&#xa0;al., 2021</xref>). Fishing and whale watching in coastal Oregon play critical economic and food resource roles for coastal communities (<xref ref-type="bibr" rid="B51">O'Connor et&#xa0;al., 2009</xref>; <xref ref-type="bibr" rid="B23">Cramer et&#xa0;al., 2018</xref>). Thus, it is important to understand the rates and variability of MP loads in this coastal food web to establish baselines, identify species or areas of concern, and inform next steps of research and management to reduce harmful impacts of MP on wildlife populations and human communities.</p>
<p>Baleen whales are mega-filter feeders that engulf large amounts of ambient water while consuming their target prey. This feeding method exposes baleen whales to both direct ingestion of MP from ambient water, and indirect MP ingestion via consumption of contaminated prey through trophic transfer (<xref ref-type="bibr" rid="B31">Germanov et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B69">Zantis et&#xa0;al., 2021</xref>). Gray whales are a unique lineage of baleen whales, as they use suction feeding (rather than ram or lunge feeding; <xref ref-type="bibr" rid="B32">Goldbogen et&#xa0;al., 2017</xref>) to feed benthically on zooplankton and amphipods. Thus, gray whales frequently ingest benthic substrate (e.g., mud, sand, shell) while feeding in addition to ambient water and prey items, which may increase this taxa&#x2019;s MP exposure. This study focuses on the Pacific Coast Feeding Group (PCFG) of gray whales, which is a small sub-group (abundance estimated to be 230 individuals) of the larger Eastern North Pacific (ENP) population of gray whales that migrate from breeding grounds in Baja California, Mexico to the Arctic where they feed (<xref ref-type="bibr" rid="B53">Rice and Wolman, 1971</xref>). The PCFG diverges from this migration pattern by foraging in coastal habitats from northern California, USA, to southern British Columbia, Canada (<xref ref-type="bibr" rid="B16">Calambokidis et&#xa0;al., 2002</xref>). PCFG whales are generalist feeders, foraging in nearshore areas &lt;20&#xa0;m (<xref ref-type="bibr" rid="B35">Hildebrand et&#xa0;al., 2021</xref>) with primary prey in our study region of coastal Oregon, USA being benthic and epibenthic mysids and amphipods (<xref ref-type="bibr" rid="B35">Hildebrand et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B36">Hildebrand et&#xa0;al., 2022</xref>).</p>
<p>Research on cetacean exposure to MPs is still in its relative infancy, especially on baleen whales. MPs have been found in the gastrointestinal tract of one humpback whale (<italic>Megaptera novaeangliae</italic>, <xref ref-type="bibr" rid="B7">Besseling et&#xa0;al., 2015</xref>) and in the blubber of fin whales (<italic>Balaenoptera physalus</italic>; <xref ref-type="bibr" rid="B29">Fossi et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B27">Fossi et&#xa0;al., 2014</xref>). Additionally, fin whale foraging grounds in the Mediterranean Sea were found to have high spatial overlap with areas containing elevated densities of microplastics (<xref ref-type="bibr" rid="B28">Fossi et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B30">Fossi et&#xa0;al., 2017</xref>). A recent study quantified MP ingestion rates of Bryde&#x2019;s (<italic>Balaenoptera edeni brydei</italic>) and sei (<italic>Balaenoptera borealis</italic>) whales that feed on pelagic zooplankton in the Hauraki Gulf of New Zealand (<xref ref-type="bibr" rid="B68">Zantis et&#xa0;al., 2022</xref>). These initial studies demonstrate baleen whale exposure to MPs and the potential for negative consequences, including sub-lethal individual level effects that may impact energetic gains and health (<xref ref-type="bibr" rid="B49">Nelms et&#xa0;al., 2018</xref>). MPs can impact whales and other marine mammals by blockage of internal organs, mechanical damage of digestive tract, false feeling of satiation, and potentially leaching of toxicants depending on the length of the digestive period (<xref ref-type="bibr" rid="B25">Donohue et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B38">Hudak and Sette, 2019</xref>; <xref ref-type="bibr" rid="B71">Zhu et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B50">Novillo et&#xa0;al., 2020</xref>). These impacts could reduce an individual&#x2019;s overall resilience to injury and disturbance, reproductive capacity, and possibly even survival. While it is critical to consider the population level effects of MP exposure to cetacean populations for a holistic and cumulative assessment of risks, we must first reliably estimate individual MP exposure rates and understand these impacts on vital rates.</p>
<p>Despite the likelihood of high MP ingestion by baleen whales, there remains a paucity of studies on rates of ingestion or impacts, likely due to the inherent challenges of ethically and effectively sampling such a large, free ranging, marine animal. However, fecal sample collection is effectively used to non-invasively assess hormone variation from baleen whales (<xref ref-type="bibr" rid="B39">Hunt et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B44">Lemos et&#xa0;al., 2020a</xref>) and recently to estimate MP ingestion rates (<xref ref-type="bibr" rid="B68">Zantis et&#xa0;al., 2022</xref>). Here, we quantify MP loads in Oregon coastal zooplankton, including from within primary PCFG gray whale foraging habitat and their known target prey species, and we extrapolate these findings to estimate the daily MP ingestion rates of gray whales based on energetic demands. As a case study of trophic transfer, we also conduct MP analysis of fecal samples collected from several PCFG gray whales feeding in the same spatio-temporal area. We hypothesize that MPs with similar characteristics will be detected in both sample types. To our knowledge, this study is the first to look at MP exposure of baleen whales from &#x201c;zoop to poop&#x201d; and to quantify baleen whale MP consumption rates from empirically counted MP loads in zooplankton prey (i.e., not modeled). Our results further develop the understanding of MP loads in marine ecosystems across trophic levels.</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>Sample collection</title>
<sec id="s2_1_1">
<label>2.1.1</label>
<title>Zooplankton</title>
<p>Zooplankton samples were collected using a light trap (modified from design in <xref ref-type="bibr" rid="B19">Chan et&#xa0;al., 2016</xref>; described in <xref ref-type="bibr" rid="B35">Hildebrand et&#xa0;al., 2021</xref>) in nearshore waters off Newport, Oregon, USA, between June and October from 2017 to 2019 as part of a larger study on gray whale ecology (<xref ref-type="bibr" rid="B43">Lemos et&#xa0;al., 2020b</xref>). The aim of zooplankton sample collection was to collect epibenthic PCFG gray whale prey items to gain a better understanding of the quality of prey available to foraging gray whales (<xref ref-type="bibr" rid="B35">Hildebrand et&#xa0;al., 2021</xref>). The light trap was deployed &lt;1m above the seafloor at rocky reef sites where gray whales had previously been observed feeding on a given survey day and left to soak overnight before collection the following day. Zooplankton in the light trap were transferred to sterile plastic jars and frozen at -20&#xb0;C for subsequent sorting and processing.</p>
</sec>
<sec id="s2_1_2">
<label>2.1.2</label>
<title>Gray whale feces</title>
<p>Opportunistic fecal samples of gray whales were collected when defecations were observed (<xref ref-type="bibr" rid="B44">Lemos et&#xa0;al., 2020a</xref>). Fecal material was captured using two 300 &#x3bc;m nylon mesh dipnets that were dragged through the fecal plume several times to capture as much material as possible. Collected fecal material was flushed out of the nets using ambient seawater in squeeze bottles into sterile plastic jars. Sample jars were put on ice until the field team returned to shore where jars were frozen at -20&#xb0;C for later analysis. Photographs were taken of whales from which samples were collected in order to attribute samples to unique individuals. Location, date, and time of sampling were also recorded. Seawater samples were also collected from the same area to measure ambient MP levels.</p>
</sec>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Sample preparation</title>
<p>Under a laminar flow hood with HEPA filtration to 0.3 &#x3bc;m, defrosted zooplankton samples were sorted to species level under a Leica EZ4W stereoscope using LAS EZ imaging software (version 3.4.0). A minimum of 2&#xa0;g wet weight per sample was required for the sample to have a critical mass for further analysis. Zooplankton samples were filtered through a set of two successive sieves to filter out the parts unable to be fully digested by the KOH (exoskeletons, larger pieces). The first/top sieve was a size of 1&#xa0;mm and the second/bottom was 63 um. Samples digested in KOH were poured over the top sieve and rinsed with reverse osmosis (RO) water. All pieces caught by either of the sieves were collected into a petri dish to be searched for microparticles under the microscope. For each sample, a filtrate and a wash were collected: the filtrate being everything that went through the sieves, and after this was collected, the wash being what was collected from the sieves being rinsed with RO water. Both were collected in a glass pan below the sieves and transferred to their respective jars and labelled &#x201c;filtrate&#x201d; or &#x201c;rinse from sieve&#x201d; (wash). The filtrate and wash were vacuum filtered using a 5 &#x3bc;m polycarbonate filter (no polycarbonate was found in samples). Subsequently, samples were transferred and chemically digested for 64 hours at 50&#xb0;C with 25&#xa0;ml of 10% KOH added per gram of zooplankton to ensure complete digestion following protocols of (<xref ref-type="bibr" rid="B26">Enders et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B52">Pfeiffer and Fischer, 2020</xref>). All reagents were filtered to 5 &#x3bc;m prior to use to remove potential MP contamination. All glassware was muffle furnaced at 450&#xb0;C and cleaned per protocols described in <xref ref-type="bibr" rid="B13">Brander et&#xa0;al., 2020</xref> and <xref ref-type="bibr" rid="B42">Lasdin et&#xa0;al., 2023</xref>.</p>
<p>Fecal samples were filtered through unbleached coffee filters (confirmed to be cotton via FTIR) to drain saltwater from the samples (<xref ref-type="bibr" rid="B44">Lemos et&#xa0;al., 2020a</xref>). Filtered samples were then centrifuged for 10&#xa0;min at 3,000 rpm (i.e., 1,000 RCF - relative centrifugal force [g]) to extract any remaining salt. Overlying water was removed using a pipette and samples were then lyophilized for 72 hr to remove all water content. Only fecal sample with dry mass weight &#x2265; 0.2&#xa0;g were included in the subsequent MP analysis. Fecal samples were then chemically digested for 24-48 hours with 100&#xa0;ml of 10% KOH in sterilized glass jars to ensure breakdown of organic material, per previously described methods in (<xref ref-type="bibr" rid="B13">Brander et&#xa0;al., 2020</xref>). The primary aim of MP analysis of fecal samples was to assess variation in MP type relative to zooplankton results, rather than estimation of MP loads due to limitations in sampling and contamination control. We acknowledge that some MPs may have been lost and/or added from fecal samples during collection with a larger mesh size net and potentially during filtration using cellulose coffee filters.</p>
<p>Prior to vacuum-filtration, 5 &#x3bc;m polycarbonate filters were inspected under a stereomicroscope for potential MP contamination. Digested samples were then vacuum-filtered through the inspected papers. Filtration units were rinsed with reverse osmosis (referred to henceforth as RO) filtered water to ensure the capture of all potential plastics. Liquid waste was poured back into the jars while used filter papers were stored in sterilized glass petri dishes for later MP processing.</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Microparticle processing</title>
<p>Sample and control (see Section 2.4 Quality assurance/quality control for details) petri dishes were photographed prior to analysis under a microscope. Next, potential microplastics identified under the microscope were transferred to glass slides, photographed, and categorized by color and morphotype, and subsequently measured using LAS EZ imaging software (version 3.4.0), per methods described in <xref ref-type="bibr" rid="B42">Lasdin et&#xa0;al. (2023)</xref>. To confirm chemical composition, a subset of MPs from the zooplankton (39%) and fecal (100%) samples, and seawater (100%) and lab control (43%) samples were analyzed using &#x3bc;Fourier Transform Infrared (FTIR) spectroscopy and matched to the library housed within a commonly used open source software program - Open Specy (<xref ref-type="bibr" rid="B22">Cowger et&#xa0;al., 2021</xref>). MPs for FTIR analysis were selected to obtain a representative subsample of the different morphologies and colors found in each sample type (zooplankton, fecal, seawater, controls). All particles analyzed via FTIR were sorted into three categories: synthetic (plastic), anthropogenic (human generated but not clearly plastic, eg. cotton textile), and natural (e.g. plant matter, bone fragment). Methods followed for FTIR analysis are described in detail in: <xref ref-type="bibr" rid="B34">Harris et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B18">Caldwell et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B60">Talbot et&#xa0;al., 2022</xref>.</p>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>Quality assurance/quality control</title>
<p>All sample processing was conducted in a HEPA-filtered laminar flow hood.</p>
<p>Glass jars were filled with 100&#xa0;ml of KOH and the lids removed during pre-vacuuming preparation to measure airborne contaminants during the sample processing stage under the laminar flow hood. These KOH blanks were filtered and picked following the same protocols used for zooplankton and whale fecal samples. During the picking process, air quality controls were made by stamping grids on Whatman filters, just as they were for all samples analyzed, mounting the paper in open glass petri dishes, and wetting the paper with RO water. These were placed in the workstation and the lids removed when samples were analyzed to measure possible background contaminants.</p>
<p>The number of background contaminants per gram of sample was calculated using the following equation:</p>
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</disp-formula>
</sec>
<sec id="s2_5">
<label>2.5</label>
<title>Data analysis</title>
<p>We determined the number of MPs per gram for each zooplankton species and whale fecal samples by dividing the total number of MPs identified in each sample by the wet weight of the sample prior to digestion. We also calculated the number of MPs per individual zooplankton by multiplying the average wet weight (g) of an individual zooplankton for each species by the number of MPs per 1&#xa0;g of that species.</p>
<p>Differences in MPs per gram and length of MPs of the three zooplankton species were assessed using analyses of variance (ANOVA; &#x2018;stats&#x2019; R-package, version 4.0.2). Lengths of common MP morphotypes found in zooplankton and gray whale fecal samples were compared using Kruskal-Wallis tests (due to unequal variances and sample sizes between groups). We applied a Bonferroni correction to account for multiple comparisons. A total of three Kruskal-Wallis tests were performed, resulting in a new Bonferroni adjusted alpha value of 0.02 (0.05/3).</p>
<p>One of our study aims was to estimate the amount of MPs that gray whales ingest in one day. Since it is unknown what proportion of each gray whale defecation was collected at each sampling event or the digestion rate between the amount a whale consumes and the amount defecated per day, we were unable to use the MP per fecal gram results to extrapolate to daily MP intake by gray whales. Instead, we used the MPs per individual zooplankton results to extrapolate MP consumption rates per day based on published values of the number of individual zooplankton (by species) pregnant and lactating gray whales would need to consume per day to reach their daily energetic requirements (<xref ref-type="bibr" rid="B64">Villegas-Amtmann et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B35">Hildebrand et&#xa0;al., 2021</xref>). Our extrapolations were limited to pregnant and lactating females because these are the only gray whale demographic units with available information on daily energetic requirements (<xref ref-type="bibr" rid="B64">Villegas-Amtmann et&#xa0;al., 2017</xref>). While pregnant and lactating females were present in our study area and period overlapping with our prey sampling effort, we recognize that these groups may have higher energetic demands than other demographic units (considered further in Discussion). We multiplied these daily requirements by the number of MPs in an individual zooplankton by species to determine the estimated number of MPs that pregnant and lactating gray whales ingest daily. We also performed this calculation using an average value of the three zooplankton species (&#x201c;composite prey&#x201d;), as the proportions of gray whale diet are unknown. Pregnancy and lactation are life history stages with the highest energetic demands and are crucial periods that affect population dynamics (<xref ref-type="bibr" rid="B46">Lockyer, 1984</xref>; <xref ref-type="bibr" rid="B65">Villegas-Amtmann et&#xa0;al., 2015</xref>).</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<sec id="s3_1">
<label>3.1</label>
<title>Sample collection and preparation</title>
<p>Of the 36 light traps deployed, 31 successfully captured zooplankton. Since these light trap samples were also collected for the purpose of energetic value assessment (<xref ref-type="bibr" rid="B35">Hildebrand et&#xa0;al., 2021</xref>) and therefore needed to be divided equally, 16 light trap samples were analyzed for this study. Within each light trap sample, zooplankton were identified and sorted by species to obtain species-specific groups of 2&#xa0;g wet weight for MP analysis. Three zooplankton species composed 99% of catch: the amphipod <italic>Atylus tridens</italic>, and the mysid shrimp <italic>Holmesimysis sculpta</italic> and <italic>Neomysis rayii</italic>, all of which are known PCFG gray whale prey items (<xref ref-type="bibr" rid="B35">Hildebrand et&#xa0;al., 2021</xref>). Due to the different catch amounts and wet weights of these three zooplankton species, the number of 2&#xa0;g samples available for MP analysis varied by species; A total of 26 zooplankton samples were analyzed: (<italic>A. tridens</italic> = 4, <italic>H. sculpta</italic> = 9, <italic>N. rayii</italic> = 13; approximately 20, 20, and 10 individuals per sample respectively).</p>
<p>Since whale fecal samples were collected as part of a larger ecological study with the primary objective of quantifying hormones (<xref ref-type="bibr" rid="B44">Lemos et&#xa0;al., 2020a</xref>), only a small number of fecal samples of a critical minimum mass (0.2&#xa0;g) for microparticle analysis were available for this study (<italic>n</italic>=5). These five samples were collected from four unique individual whales.</p>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Microparticles in zooplankton</title>
<p>MPs were present in all 26 zooplankton samples analyzed. There were no statistically significant differences in the number of MPs per gram between the three zooplankton species (ANOVA: Sum of squares=7.98, <italic>F</italic>=0.382, <italic>p</italic>=0.687), with the mean number of MPs per gram being very similar across species, at approximately 4 MPs (3.92) per gram after accounting for background contamination (2.04 MPs per gram, <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1A</bold>
</xref>).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Microparticle (MP) loads and morphotypes by zooplankton species. <bold>(A)</bold> the number of MPs per 1 gram per species, with the dotted line representing the average MP level in controls. <bold>(B)</bold> the proportion of MP morphotypes found in each zooplankton species. <bold>(C)</bold> the proportion of Fourier transform infrared (FTIR) spectroscopy categories of MPs found in each zooplankton species. The sample size for each sample is denoted above all columns.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-10-1201078-g001.tif"/>
</fig>
<p>A total of 418 suspected MPs were identified from the 26 zooplankton samples. The morphotypes identified were similar across the three zooplankton species, with fibers accounting for over 50% of all MPs identified for each species (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1B</bold>
</xref>). The representative subset of MPs (<italic>n</italic>=162) analyzed via FTIR also revealed similar proportions by category across species, with anthropogenic MPs comprising more than half of the MPs identified for each species (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1C</bold>
</xref>). [Complete spectral matching and categorization data of zooplankton samples and controls can be found in <xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Material</bold></xref> (<xref ref-type="supplementary-material" rid="SM1">
<bold>Tables S1</bold>
</xref>)]. No significant differences were found in the lengths of MPs between the three zooplankton species (ANOVA: Sum of squares=2.31, <italic>F</italic>=1.32, <italic>p</italic>=0.268). The size range of MPs found in the zooplankton (all species combined) was between 0.04 and 6.59&#xa0;mm, with fibers showing a long tail of outliers toward larger items (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>). Only one fiber that was 13&#xa0;mm in length was excluded from analysis. Lengths of MPs detected in zooplankton were similar to MPs found in sea water control samples (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Size distribution of microparticles found in zooplankton samples (all species combined), the five gray whale fecal samples, and the sea water control samples. Note that 1 data point has been removed (outlier for fiber from zooplankton sample that was &gt; 13&#xa0;mm). The sample size for each sample is denoted above all columns. The box spans the 25 to 75% quartile range, the thick horizontal line indicates the median, whiskers extend to the 95% range, the circle indicates the mean, and points are outliers.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-10-1201078-g002.tif"/>
</fig>
<p>Despite the fact that <italic>N. rayii</italic> has a lower mean number of MPs per gram than the other two prey species (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1A</bold>
</xref>; though this difference is non-significant), this species had the highest number of MPs found per individual zooplankton (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). In fact, the number of MPs per individual <italic>N. rayii</italic> (0.36) is between 3-4 times larger than the values for <italic>A. tridens</italic> (0.10) and <italic>H. sculpta</italic> (0.09). These differences are likely due to the fact that individual <italic>N. rayii</italic> are on average 10-14&#xa0;mm longer than individuals of the other two species (<xref ref-type="bibr" rid="B20">Chapman, 2007</xref>; <xref ref-type="bibr" rid="B15">Burnham, 2015</xref>).</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Estimates of the number of microparticles (MPs) that a pregnant and lactating female gray whale consumes per day generated through extrapolation of results from this study (Microparticles per individual zooplankton; first row) to their daily energetic needs by zooplankton prey species from <xref ref-type="bibr" rid="B35">Hildebrand et&#xa0;al., 2021</xref>.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="left">
<italic>A. tridens</italic>
</th>
<th valign="top" align="left">
<italic>H. sculpta</italic>
</th>
<th valign="top" align="left">
<italic>N. rayii</italic>
</th>
<th valign="top" align="left">Composite prey</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">MPs per individual zooplankton</td>
<td valign="top" align="left">0.095</td>
<td valign="top" align="left">0.085</td>
<td valign="top" align="left">0.356</td>
<td valign="top" align="left">0.179</td>
</tr>
<tr>
<td valign="top" align="left"># individual zooplankton a <bold>pregnant</bold> gray whale requires per day</td>
<td valign="top" align="left">222.2 million</td>
<td valign="top" align="left">156.9 million</td>
<td valign="top" align="left">26.8 million</td>
<td valign="top" align="left">74.3 million</td>
</tr>
<tr>
<td valign="top" align="left"># MPs a <bold>pregnant</bold> gray whale consumes per day</td>
<td valign="top" align="left">21.2 million</td>
<td valign="top" align="left">13.4 million</td>
<td valign="top" align="left">9.55 million</td>
<td valign="top" align="left">13.3 million</td>
</tr>
<tr>
<td valign="top" align="left"># individual zooplankton a <bold>lactating</bold> gray whale requires per day</td>
<td valign="top" align="left">150.0 million</td>
<td valign="top" align="left">105.9 million</td>
<td valign="top" align="left">18.1 million</td>
<td valign="top" align="left">50.1 million</td>
</tr>
<tr>
<td valign="top" align="left"># MPs a <bold>lactating</bold> gray whale consumes per day</td>
<td valign="top" align="left">14.3 million</td>
<td valign="top" align="left">9.03 million</td>
<td valign="top" align="left">6.45 million</td>
<td valign="top" align="left">8.97 million</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Microparticles in gray whale feces</title>
<p>MPs were present in all five fecal samples analyzed (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3A</bold>
</xref>). A total of 37 suspected MPs were identified in the five fecal samples. The morphotypes identified were similar across the five samples, with fragments found in all five and a mix of fibers, films, and pellets (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3B</bold>
</xref>). Given the small number of identified fecal MPs, all were analyzed via FTIR. Similar to the zooplankton samples, the majority of MPs were from an anthropogenic, followed by natural, and synthetic source (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3C</bold>
</xref>). [Complete spectral matching and categorization data of fecal samples and controls can be found in <xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Material</bold></xref> (<xref ref-type="supplementary-material" rid="SM2">
<bold>Table S2</bold>
</xref>)]. Background contamination was appreciably higher in fecal samples (mean = 15.4; <xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3A</bold>
</xref>) than in the zooplankton samples. Results from the Kruskal-Wallis tests revealed that the three common morphotypes were significantly longer in gray whale fecal samples than in their zooplankton prey (fibers: &#x3c7;<sup>2</sup>&#xa0;=&#xa0;15.6, df=1, <italic>p</italic>&lt;0.001; films: &#x3c7;<sup>2&#xa0;</sup>=&#xa0;5.35, df=1, <italic>p</italic>=0.02; fragments: &#x3c7;<sup>2</sup>&#xa0;=&#xa0;18.3, df=1, <italic>p</italic>&lt;0.001), and longer than MP detected in sea water control samples (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>).</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Microparticle (MP) loads and morphotypes found in each of the five gray whale fecal samples analyzed. <bold>(A)</bold> the number of MPs per gram of fecal sample, with the dotted line representing the average MP level in controls. <bold>(B)</bold> the proportion of MP morphotypes found in each fecal sample. <bold>(C)</bold> the proportion of Fourier transform infrared (FTIR) spectroscopy categories of MPs found in each fecal sample. The sample size for each sample is denoted above all columns.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-10-1201078-g003.tif"/>
</fig>
</sec>
<sec id="s3_4">
<label>3.4</label>
<title>Extrapolation to daily caloric needs of whales</title>
<p>We estimated the number of microparticles that gray whales consume per day through extrapolation of the number of MPs per individual zooplankton by species to daily gray whale energetic needs for pregnant and lactating females for each prey species (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). Results indicate that if a pregnant gray whale ate only the energetically rich <italic>N. rayii</italic> in a day, it would consume 9.55 million MP per day. If a lactating whale ate a varied prey diet of &#x201c;composite prey&#x201d;, it would consume 8.97 million MP per day.</p>
</sec>
<sec id="s3_5">
<label>3.5</label>
<title>Microparticles in seawater and control samples</title>
<p>Five seawater samples were collected in proximity to each fecal sample (but outside of fecal plume). Six KOH controls and 10 air filter controls were collected during lab processing. In summary, of the 15 potential MPs identified in seawater samples, fibers were the dominant morphology (<xref ref-type="supplementary-material" rid="SF1">
<bold>Figure S1</bold>
</xref>). All 15 MPs were analyzed via FTIR that determined an almost even split between anthropogenic and synthetic sources (<xref ref-type="supplementary-material" rid="SF1">
<bold>Figure S2</bold>
</xref>). For the KOH controls, 38 potential MPs were identified, which were also dominated by fibers (<xref ref-type="supplementary-material" rid="SF1">
<bold>Figure S1</bold>
</xref>). FTIR results of the 14 MPs from KOH controls found mostly anthropogenic sources (<xref ref-type="supplementary-material" rid="SF1">
<bold>Figure S2</bold>
</xref>). From the 10 air filter controls, 16 potential MPs were identified, all of which were fibers (<xref ref-type="supplementary-material" rid="SF1">
<bold>Figure S1</bold>
</xref>). FTIR analysis of seven of these fiber MPs determined they were all from an anthropogenic source (<xref ref-type="supplementary-material" rid="SF1">
<bold>Figure S2</bold>
</xref>).</p>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<p>Our estimated daily consumption of MPs by a pregnant or lactating PCFG gray whale is astounding, ranging between 6.45 and 21.2 million, especially when considering that a gray whale&#x2019;s foraging season lasts ~6 months (180 days). Although this amount may appear to be an overestimate, it is aligned with the modeled estimates for other baleen whales that target zooplankton, such as <xref ref-type="bibr" rid="B41">Kahane-Rapport et&#xa0;al. (2022)</xref>; a blue whale consumes 10 million MP per day) and <xref ref-type="bibr" rid="B68">Zantis et&#xa0;al. (2022)</xref> that estimated Bryde&#x2019;s and sei whales consume 3.4 million MP per day (95% CI: 295,810 &#x2013; 10,031,370). Blue, Bryde&#x2019;s, and sei whales are all pelagic feeding whales rather than benthic feeding like gray whales. While MPs are commonly detected in surface water and throughout the water column, it is widely documented that the benthos is the biggest sink for marine MPs due to weathering and aggregation processes that increase particle density over time (<xref ref-type="bibr" rid="B6">Bergmann et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B70">Zhang, 2017</xref>; <xref ref-type="bibr" rid="B57">Shupe et&#xa0;al., 2021</xref>). Additionally, we produced estimates for the most energetically demanding life history phases of pregnant and lactating females. However, our estimates are derived from MP loads found in the main prey items of gray whales and do not account for MP ingested due to consumption of either ambient water or benthic sediments. Therefore, it is possible that the actual daily consumption rate of MP by gray whales during these sensitive life history stages is higher.</p>
<p>The differences in morphology and size of MPs found in the zooplankton and fecal samples are interesting. We theorize that these differences may be due to (1) the gape size limitation of zooplankton compared to whales, and (2) ambient consumption by benthically feeding gray whales of the heavier and larger MPs that are primarily found in the benthos (<xref ref-type="bibr" rid="B70">Zhang, 2017</xref>). Although the large mesh size (300 &#x3bc;m) of the net used to collect fecal samples may have under sampled smaller MPs, our protocols for zooplankton assessment (immediate digestion and filtration) would have collected larger MPs had they been present. Therefore, the finding of larger MPs in gray whale fecal samples than their zooplankton prey is likely accurate. Also, given that the amount of anthropogenic cellulosic material (e.g., cotton) was similar between whales and zooplankton, we do not think that the coffee filters (identified as cellulose via FTIR) added any contamination to the fecal samples.</p>
<p>The majority of MPs found in zooplankton were smaller fibers (&lt;2&#xa0;mm), which are likely more easily ingestible compared to larger items. While whale fecal samples also contained fibers, there was also a large amount of films, fragments, and pellets. The sea water blanks we collected at the surface were dominated by fibers with few films and fragments, indicating that the heavier and larger MPs may sink faster and accumulate in the benthos (<xref ref-type="bibr" rid="B61">ter Halle et&#xa0;al., 2016</xref>). This difference in sinking rates has also been widely documented in the literature (<xref ref-type="bibr" rid="B37">Horton and Dixon, 2018</xref>). Fibers also eventually sink to the bottom once weathered (<xref ref-type="bibr" rid="B67">Woodall et&#xa0;al., 2015</xref>). Therefore, we hypothesize that gray whales are exposed to MPs via trophic transfer from their zooplankton prey and indiscriminate consumption of ambient MPs in the benthos while foraging benthically (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>). Yet our estimated daily MP consumption rates are only based on prey ingestion and therefore are likely conservative.</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Theoretical microparticle (MP) exposure pathway schematic illustrating why gray whales have relatively more film, fragment and pellets in their fecal samples than were detected in their zooplankton prey that was dominated by fibers. Film, fragments, and pellets are heavier than fibers and sink to the bottom where gray whales feed benthically and thus likely consume these MPs within ambient benthic material. In contrast, fibers are found throughout the water column and benthos, including surface where we collect &#x201c;sea water control samples&#x201d; as indicated by the glass jar. The circle above the seafloor indicates where the light trap was placed in the water column and the primary zooplankton species caught. Adapted from &#x201c;Virtual Background - Zebrafish&#x201d;, by <uri xlink:href="https://BioRender.com">BioRender.com</uri> (2022). Retrieved from <ext-link ext-link-type="uri" xlink:href="https://app.biorender.com/biorender-templates">https://app.biorender.com/biorender-templates</ext-link>.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-10-1201078-g004.tif"/>
</fig>
<p>Gray whales feeding in this region use variable foraging tactics to feed on a variety of prey (<xref ref-type="bibr" rid="B63">Torres et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B35">Hildebrand et&#xa0;al., 2021</xref>), which may explain the variation in MP types within fecal samples and also implies that the &#x201c;composite prey&#x201d; estimate of daily MP consumption (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>) may be the most realistic to consider MP exposure across a whole foraging season. While the examination of MP morphotypes and size in fecal samples is useful, we do not attempt to calculate MP loads or consumption rates based on the fecal samples due to several reasons. We only collected a small and unknown portion of each fecal plume, so the estimation of MP consumption rate is fraught. Furthermore, whale fecal samples were collected using a 300 um net that may not have retained smaller MP types and sizes. Additionally, in contrast to the zooplankton samples which were processed under HEPA in a laminar flow hood, contamination of fecal samples may have occurred because we used plastic jars to store these samples and HEPA filters were not used during initial step of sample filtration through a coffee filter (HEPA was used for additional processing steps that followed). Thus, the five fecal samples analyzed in this study represent a pilot effort to better understand MP morphotype and sizes consumed, and as a proof of methods.</p>
<p>The predominance of microfibers in zooplankton species consumed by PCFG gray whales is concerning as evidence is accumulating across taxa that fibers may be more toxic and more difficult to excrete than other MP types (<xref ref-type="bibr" rid="B59">Stienbarger et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B14">Bucci and Rochman, 2022</xref>; <xref ref-type="bibr" rid="B33">Granek et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B62">Thornton Hampton et&#xa0;al., 2022</xref>). Although evidence of fiber impacts in megafauna such as whales is lacking, it could be predicated that fibers are similarly problematic. Further, the accumulation and internalization of microfibers by zooplankton likely impacts other important coastal species in addition to whales. The same zooplankton species are commonly fed upon by salmonids and other fishes commonly consumed by humans. Concerningly, a recent study focused on Oregon seafood species found that microfibers are common in the fillet tissue of salmonids, lingcod, herring (Brander pers. obs.), and in the fillet and gut of rockfish (<xref ref-type="bibr" rid="B42">Lasdin et&#xa0;al., 2023</xref>) frequently consumed by humans. Additionally, our estimates of MPs in zooplankton are likely also conservative, since current microscopy and FTIR approaches are limited to the detection of MPs &gt; 20 microns in size (<xref ref-type="bibr" rid="B21">Cowger et&#xa0;al., 2020</xref>).</p>
<p>Although this study provides a first, baseline estimate of MP consumption by gray whales, there are many necessary next steps. Methodologically, whale fecal samples should be collected with a smaller mesh net and processed in a more controlled manner to minimize contamination. This added control would provide more robust estimates of MP types consumed, yet abundance estimates of MP consumption rates will remain challenging without estimates of the fecal sample proportion collected. More importantly though, is to extend these and other findings on the high rates of MP consumption by baleen whales to assess the population level impacts on the health of individuals and subsequent scaled-up effects on population dynamics (<xref ref-type="bibr" rid="B56">Senko et&#xa0;al., 2020</xref>). MP consumption may significantly impair the fitness of individuals through multiple pathways (e.g., reduced energetic gain, increased pollutant loads, organ damage), which may have long-term impacts across a population if reproductive capacity and calf survival is negatively impacted. Additionally, the impacts of MPs on zooplankton prey are also unknown; zooplankton with unsustainable levels of MP ingestion may not survive or reproduce as well as less contaminated individuals, and these impacts would have prey availability consequences to whales. Therefore, much more research is needed on the physiological impacts of MP ingestion on both zooplankton prey and whale predators. While our study demonstrates the potential for alarming rates of MP consumption by gray whales, it is also important to recognize that MP exposure is just one of many threats whales face in an increasingly anthropogenically impacted ocean. Hence, it is the cumulative impacts of these threats that must be holistically evaluated and managed to truly sustain and improve the health and viability of whale populations.</p>
</sec>
<sec id="s5" sec-type="data-availability">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article and <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Material</bold>
</xref>. Further inquiries can be directed to the corresponding author.</p>
</sec>
<sec id="s6" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The animal study was reviewed and approved by Oregon State University Animal Program Office.</p>
</sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>LT, SB, and LH contributed to conception and design of the study. LT led field work and sample collection. SB oversaw laboratory analysis, which LH led with assistance from JP, EB, RN, JVB, and KL. LH conducted statistical analyses. LT wrote the first draft of the manuscript, with contributions from SB and LH. All authors contributed to manuscript revision, read, and approved the submitted version. Project funding was acquired and managed by LT.</p>
</sec>
</body>
<back>
<sec id="s8" sec-type="funding-information">
<title>Funding</title>
<p>The Coastal Oregon Zooplankton Investigation (COZI) was supported by the Agricultural Research Foundation at Oregon State University, with additional support from the OSU Marine Mammal Institute, Oregon Sea Grant, the Office of Naval Research Marine Mammals and Biology Program (#N00014-20-1-2760), and the NSF Growing Convergence Research Grant (#1935028).</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>We are grateful to our additional collaborators Kim Bernard, Sarah Henkel, Emily Pedersen, Haley Kent, and Noah Goodwin-Rice. Fecal samples collected under NOAA/NMFS permit #21678 issued to John Calambokidis.</p>
</ack>
<sec id="s9" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s10" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec id="s11" 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.2023.1201078/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fmars.2023.1201078/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="DataSheet_1.docx" id="SF1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
<supplementary-material xlink:href="Table_1.xlsx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"/>
<supplementary-material xlink:href="Table_2.xlsx" id="SM2" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"/>
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