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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.2023.1254316</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>Insights into constraining coastal carbon export from radioisotopes</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Black</surname>
<given-names>Erin E.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2369704"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
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<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Algar</surname>
<given-names>Christopher K.</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/170415"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
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<role content-type="https://credit.niso.org/contributor-roles/resources/"/>
<role content-type="https://credit.niso.org/contributor-roles/visualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Armstrong</surname>
<given-names>Maria</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/visualization/"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Kienast</surname>
<given-names>Stephanie S.</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/funding-acquisition/"/>
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<aff id="aff1">
<sup>1</sup>
<institution>Department of Earth and Environmental Sciences, University of Rochester</institution>, <addr-line>Rochester, NY</addr-line>, <country>United States</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Department of Oceanography, Dalhousie University</institution>, <addr-line>Halifax, NS</addr-line>, <country>Canada</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Ed Hathorne, Helmholtz Association of German Research Centres (HZ), Germany</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Frank Dehairs, Vrije University Brussels, Belgium; Zvi Steiner, Helmholtz Association of German Research Centres (HZ), Germany</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Erin E. Black, <email xlink:href="mailto:e.black@rochester.edu">e.black@rochester.edu</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>02</day>
<month>10</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>10</volume>
<elocation-id>1254316</elocation-id>
<history>
<date date-type="received">
<day>06</day>
<month>07</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>14</day>
<month>09</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2023 Black, Algar, Armstrong and Kienast</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Black, Algar, Armstrong and Kienast</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>Coastal shelves are important regions for carbon transformation and storage, however, constraining coastal carbon budgets and their uncertainties remains a challenge. Repeated sampling of a semi-restricted coastal basin in Nova Scotia, Canada was performed in 2019 utilizing the <sup>238</sup>U-<sup>234</sup>Th isotope system to estimate carbon flux in both the water column and surface sediments. <sup>234</sup>Th fluxes in the Bedford Basin water column appeared to be in relative balance with those arriving at the seafloor averaged over spring and summer. The resulting carbon export estimates averaged ~70 mmol C m<sup>-2</sup> d<sup>-1</sup> for April through August of 2019 and <sup>234</sup>Th-derived annual export estimates (19&#xa0;mol C m<sup>-2</sup> yr<sup>-1</sup>) were within a factor of three of the model-based estimates for the basin. Incorporating the results from prior research, this study constrains the major carbon sources and sinks in Bedford Basin. While the <sup>238</sup>U-<sup>234</sup>Th method is well-established in the open ocean, its use in coastal shelf regions is still evolving. Pronounced <sup>234</sup>Th deficits are unique to coastal zones and continue to raise important questions about the physical and biogeochemical factors that influence tracer distributions and the carbon estimates that are derived from them. Future paths and method refinements for utilizing the <sup>238</sup>U-<sup>234</sup>Th system in coastal regions are put forth here, including the use of size-fractionated sampling, the need for boreal winter estimates, the quantification of horizontal mixing contributions, an analysis of the role of small particles in coastal carbon budgets, and the study of sediment resuspension&#x2019;s impact on tracer distributions.</p>
</abstract>
<kwd-group>
<kwd>carbon</kwd>
<kwd>coastal</kwd>
<kwd>thorium</kwd>
<kwd>export</kwd>
<kwd>Bedford Basin Monitoring Program</kwd>
</kwd-group>
<counts>
<fig-count count="7"/>
<table-count count="2"/>
<equation-count count="8"/>
<ref-count count="68"/>
<page-count count="20"/>
<word-count count="13702"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Marine Biogeochemistry</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Collectively, continental shelves constitute less than 10% of the global ocean area, while boasting ~20% of the ocean&#x2019;s primary productivity (<xref ref-type="bibr" rid="B35">Jahnke, 2010</xref>). For North America, shelves are estimated to be the storage site for a fifth of the carbon entering coastal waters (<xref ref-type="bibr" rid="B44">Najjar et&#xa0;al., 2018</xref>). In addition, these regions also provide innumerable ecosystem services, such as food production and coastal protection (<xref ref-type="bibr" rid="B25">Costanza et&#xa0;al., 2014</xref>). Human actions, such as the addition of excess nitrogen and phosphorus in the form of fertilizer runoff (<xref ref-type="bibr" rid="B30">Galloway et&#xa0;al., 2004</xref>) and the release of chemical pollutants (e.g. fire retardants and mercury), are influencing coastal ecosystems at an alarming rate. Increased coastal hypoxia (<xref ref-type="bibr" rid="B26">Diaz and Rosenberg, 2008</xref>), ocean acidification, and harmful algal blooms (<xref ref-type="bibr" rid="B50">Paerl and Scott, 2010</xref>) are just a few of the problems threatening the ecological stability and economic profitability of coastal regions. To better address these anthropogenic influences, a deeper knowledge of how chemical constituents are altered, stored, and transported through coastal regions is needed. Furthermore, without repeated efforts we cannot assess trends in coastal chemical budgets as human impacts worsen or improve with remediation efforts.</p>
<p>Despite the relative ease of access to coastal waters, constraining carbon and nutrient cycling in these regions is often complicated. One-dimensional or 1-D models (e.g. <xref ref-type="bibr" rid="B58">Savoye et&#xa0;al., 2006</xref>) used in open ocean settings can be too simplistic for coastal systems with the effects of rapid currents, human influences, an abundance of natural sources and sinks (i.e., rivers, aerosols, and sediments), and the confluence of freshwater and marine systems. This complexity has led to high uncertainties for carbon burial in coastal regions (e.g. almost 50%, <xref ref-type="bibr" rid="B44">Najjar et&#xa0;al., 2018</xref>) and daily carbon fluxes have been shown to vary by up to two orders of magnitude in highly active shelf-slope regions (e.g. <xref ref-type="bibr" rid="B13">Biscaye and Anderson, 1994</xref>). There is an immediate need for improved constraint on each of the parameters that go towards these budgets, such as particulate carbon export, as changes in marine carbon cycling due to global climate change have already been observed in the North Atlantic (<xref ref-type="bibr" rid="B47">Osman et&#xa0;al., 2019</xref>).</p>
<p>To explore avenues for improving coastal carbon budgets, we study the semi-enclosed Bedford Basin in Nova Scotia, Canada (referred to also as &#x2018;the basin&#x2019;, <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>). The circulation patterns and structure of the 17 km<sup>2</sup> basin result in relatively uniform salinity and density profiles below the mixed layer for most of the year (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>) and the general application of 1-D assumptions in models (e.g. <xref ref-type="bibr" rid="B21">Burt et&#xa0;al., 2013</xref>). Most of the freshwater to the basin is supplied by a single source, the Sackville River, at the basin&#x2019;s north end (5 m<sup>3</sup> s<sup>-1</sup> average annual inflow, <xref ref-type="bibr" rid="B36">Kepkay et&#xa0;al., 1997</xref>). The basin connects to the Atlantic Ocean via the 20 m-deep narrows of the Halifax Harbor at its southern end, which shelters the basin and creates two-layer, estuarine circulation (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>). In the surface, the mean outflow of the basin is only 0.2&#xa0;cm s<sup>-1</sup> and there is limited exchange between the surface waters and those below the 20&#xa0;m sill depth (<xref ref-type="bibr" rid="B60">Shan et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B21">Burt et&#xa0;al., 2013</xref>). Weekly hydrographic monitoring at the Compass Station (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>) in Bedford Basin has been conducted since 1992 by the Fisheries and Oceans Canada (DFO) Bedford Basin Monitoring Program (<xref ref-type="bibr" rid="B39">Li and Dickie, 2001</xref>), providing a wealth of auxiliary data.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Bathymetry of Halifax Harbor. The Compass Station (location 2, 44&#xb0; 41&#x2019; 30&#x201d; N, 63&#xb0; 38&#x2019; 30&#x201d; W) is located at the deepest part of Bedford Basin, Nova Scotia, Canada (see inset). Location 1 is the mouth of the Sackville River. The approximate boundaries of the inner (3) and outer (4) regions of Halifax Harbor are indicated. Map bars (white-black) are equal to 1 minute.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-10-1254316-g001.tif"/>
</fig>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Hydrographic and biogeochemical conditions of Bedford Basin in 2019. From top to bottom are <bold>(A)</bold> temperature, <bold>(B)</bold> density, <bold>(C)</bold> Chlorophyll-a, and <bold>(D)</bold> integrated Chl-a inventory for entire water column. The horizontal, bolded black line in <bold>(A)</bold> to <bold>(C)</bold> indicates the euphotic zone as calculated from the depth of 1% surface PAR (photosynthetically available radiation). All measurements were taken at the Compass Station and data are publicly available at: <uri xlink:href="http://www.bio-iob.gc.ca/science/monitoring-monitorage/bbmp-pobb/measurements-mesures-en.php">www.bio-iob.gc.ca/science/monitoring-monitorage/bbmp-pobb/measurements-mesures-en.php</uri> (last access: 5 July 2022).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-10-1254316-g002.tif"/>
</fig>
<p>Methods for estimating particulate carbon flux in coastal zones are limited and sediment traps (e.g. <xref ref-type="bibr" rid="B67">Wei and Murray, 1992</xref>) often suffer from conveyance issues or hydrodynamic biases. In this study, we employ the <sup>238</sup>U-<sup>234</sup>Th disequilibrium method to investigate the relationship between particulate water column and sediment column fluxes (<xref ref-type="bibr" rid="B22">Charette et&#xa0;al., 2001</xref>; <xref ref-type="bibr" rid="B66">Waples and Klump, 2013</xref>). The shallow water column and the semi-restricted circulation in the basin, confirmed by observations and modeling efforts (e.g. <xref ref-type="bibr" rid="B59">Shan and Sheng, 2012</xref>), suggest that the loss of particulates to transport out of the basin should be minimal. Here we test whether the signal of export captured by the short-lived isotope <sup>234</sup>Th (half-life ~ 24 days) is mirrored in the <sup>234</sup>Th inventories observed in the seafloor sediments by taking paired water column and sediment measurements. Furthermore, we quantify and compare both water column and sediment-based estimates of carbon flux utilizing this <sup>238</sup>U-<sup>234</sup>Th method and make suggestions for future work in the Bedford Basin and beyond.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<label>2</label>
<title>Materials and methods</title>
<p>Field and analytical methods are summarized here. Step-by-step methods, full metadata, and additional relevant literature references can be found at the locations in the Data Availability Statement. When appropriate, standard deviations are reported below as (&#xb1; s.d.).</p>
<sec id="s2_1">
<label>2.1</label>
<title>Sample collection and analyses</title>
<p>Sediment cores ranging from 20 to 32&#xa0;cm in length were taken at the Compass Station (44&#xb0; 41&#x2019; 30&#x201d; N, 63&#xb0; 38&#x2019; 30&#x201d; W, <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>) on February 12<sup>th</sup>, April 12<sup>th</sup>, May 7<sup>th</sup>, and August 2<sup>nd</sup> of 2019 using a DC Denmark four-core multicorer. The cores were extruded and sectioned in 1-4&#xa0;cm intervals, with greater resolution in the upper 5&#xa0;cm. In August, two sets of paired cores (four cores total) were homogenized in 1&#xa0;cm increments to provide more mass for analysis in the upper 5&#xa0;cm and to test for spatial heterogeneity. Methods follow the general processing and counting procedures in <xref ref-type="bibr" rid="B15">Black and Buesseler (2014)</xref>. Cores were analyzed for <sup>234</sup>Th (63.3 keV) and ancillary isotopes at the Radionuclide Facility at Dartmouth College using Canberra Intrinsic High Purity Germanium Detectors. A visual inspection indicated that the sediments were fine-grained, organic-rich, and relatively homogenous. Porosity (i.e. water content) was determined for the upper 5&#xa0;cm using the mass difference between wet and dry sediment subsamples, correcting for salt content, and assuming a sediment density of 2.65&#xa0;g cm<sup>-3</sup> (<xref ref-type="bibr" rid="B20">Burdige, 2006</xref>). Sediment uncertainties for <sup>234</sup>Th activities are the propagation of gamma counting errors and an assessment of potential variability in porosity and density estimates. Carbon content of sediments was analyzed in the CERC.OCEAN facility at Dalhousie University using a Costech Instruments Elemental Combustion System 4010. The average carbon content (&#xb1; s.d.) did not differ between acid-fumigated samples (n = 29, 5.5% &#xb1; 0.5%) and non-fumigated samples (n = 39, 5.7% &#xb1; 0.8%), suggesting that most of the total carbon is organic in nature. Therefore, it is assumed that the reported &#x2018;total&#x2019; carbon content here can be used interchangeably with &#x2018;organic&#x2019; carbon content.</p>
<p>Niskin bottles (2L to 10L) were used to collect seawater samples on April 11<sup>th</sup>, May 9<sup>th</sup>, and August 2<sup>nd</sup> and temperature, salinity, fluorescence, and oxygen profile data were collected with a Seabird SBE 19plus CTD. For size-fractionated particulate <sup>234</sup>Th measurements (&gt;51 &#xb5;m and 1-51 &#xb5;m), the ~42 liters were collected at three water depths. The ~42 liters collected at each depth were temporarily stored in cleaned plastic barrels prior to filtration on ship using a custom-built, 142&#xa0;mm vertical filter apparatus. Elevated barrel water was vacuum pumped through a 51 &#xb5;m pore size nitex filter and a pre-combusted 1 &#xb5;m pore size quartz microfiber filter (QMA) in sequence. Filters were visually examined for swimmers and a 400 &#xb5;m pre-filter test found none (August sampling). Particulate material from the nitex screens was rinsed onto pre-combusted 25&#xa0;mm QMA using filtered seawater (&lt;1 &#xb5;m) and dried overnight. The 142&#xa0;mm QMA were dried similarly and then a 25&#xa0;mm punch was collected for successive <sup>234</sup>Th and carbon measurements. The particulate samples were counted within 6 to 12 days of filtration using low-level beta GM multicounters at Woods Hole Oceanographic Institution (WHOI) and then again at least 5 months after filtration. Final counting was used to determine the residual particulate &#x3b2; activity derived from beta counting after all unsupported <sup>234</sup>Th has decayed away (RA<sub>P234</sub>). RA<sub>P234</sub> was first described in <xref ref-type="bibr" rid="B40">Lin et&#xa0;al. (2016)</xref> as a resuspension proxy. After beta counting, particle filters were analyzed for total carbon content at the CERC.OCEAN facility.</p>
<p>For total <sup>234</sup>Th analyses, 4L seawater samples were collected with Niskins and prepared for counting with the precipitation method detailed in <xref ref-type="bibr" rid="B52">Pike et&#xa0;al. (2005)</xref> and amended in <xref ref-type="bibr" rid="B16">Black et&#xa0;al. (2018)</xref>. In summary, the bottles were acidified the day of sampling with nitric acid and then spiked with 1 mL of 2.8 dpm g<sup>-1 230</sup>Th yield monitor. After ~8 hours of equilibration, solutions of KMn0<sub>4</sub> and MnCl<sub>2</sub> were added to the 4L bottles. The pH was raised above 8 to allow for precipitation. After ~8 hours custom filterheads were added to the bottles and the total <sup>234</sup>Th was collected (as a precipitate) on 25&#xa0;mm QMAs. The initial counting of particulate and total <sup>234</sup>Th samples was performed using low-level beta GM multicounters at WHOI within 4 to 12 days of filtration. After all beta counting was complete, a <sup>229</sup>Th recovery yield monitor of 7.7 &#xd7; 10<sup>3</sup> dpm g<sup>-1</sup> was added for the filter digestion and ICP-MS analysis. The average recovery was 83% with a s.d. of 13.5% and median of 85%. The uncertainties on total <sup>234</sup>Th are derived from counting statistics and the extrapolation of errors associated with sample processing (i.e., mass and volume measurements, ICPMS recovery analysis).</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Water column <sup>234</sup>Th fluxes</title>
<p>The <sup>238</sup>U-<sup>234</sup>Th method is an established technique for quantifying the particulate flux of chemical constituents in the open ocean on time scales from weeks to months (e.g. <xref ref-type="bibr" rid="B18">Buesseler et&#xa0;al., 1992</xref>; <xref ref-type="bibr" rid="B10">Benitez-Nelson et&#xa0;al., 2001</xref>; <xref ref-type="bibr" rid="B12">Benitez-Nelson et&#xa0;al., 2007</xref>). <sup>234</sup>Th is particle reactive and originates from the decay of <sup>238</sup>U, which is conservative with respect to salinity in typical open ocean environments (e.g. <xref ref-type="bibr" rid="B48">Owens et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B46">Not et&#xa0;al., 2012</xref>). A deficit of <sup>234</sup>Th with respect to <sup>238</sup>U is created when <sup>234</sup>Th is transported out of surface waters via sinking particles more rapidly than the rate at which <sup>234</sup>Th and <sup>238</sup>U come into secular equilibrium with one another (i.e., when the <sup>234</sup>Th present is supported by <sup>238</sup>U). The particulate flux of <sup>234</sup>Th in dpm m<sup>-2</sup> d<sup>-1</sup> (<italic>P<sub>Th</sub>
</italic>) can be determined using the activity balance:</p>
<disp-formula>
<label>(1)</label>
<mml:math display="block" id="M1">
<mml:mrow>
<mml:mfrac>
<mml:mrow>
<mml:mo>&#x2202;</mml:mo>
<mml:mi>T</mml:mi>
<mml:mi>h</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mo>&#x2202;</mml:mo>
<mml:mi>t</mml:mi>
</mml:mrow>
</mml:mfrac>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>=</mml:mo>
<mml:msub>
<mml:mi>&#x3bb;</mml:mi>
<mml:mrow>
<mml:mi>T</mml:mi>
<mml:mi>h</mml:mi>
</mml:mrow>
</mml:msub>
<mml:mrow>
<mml:mo stretchy="false">(</mml:mo>
<mml:mrow>
<mml:mi>U</mml:mi>
<mml:mo>&#x2212;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mi>T</mml:mi>
<mml:mi>h</mml:mi>
</mml:mrow>
<mml:mo stretchy="false">)</mml:mo>
</mml:mrow>
<mml:mo>&#x2212;</mml:mo>
<mml:msub>
<mml:mi>P</mml:mi>
<mml:mrow>
<mml:mi>T</mml:mi>
<mml:mi>h</mml:mi>
</mml:mrow>
</mml:msub>
<mml:mo>+</mml:mo>
<mml:mi>V</mml:mi>
</mml:mrow>
</mml:math>
</disp-formula>
<p>where <italic>Th</italic> is the total thorium-234 activity (dpm L<sup>-1</sup>), <italic>U</italic> is the total uranium-238 activity (dpm L<sup>-1</sup>), <italic>&#x3bb;<sub>Th</sub>
</italic> is the decay constant of <sup>234</sup>Th (0.0288 day<sup>-1</sup>), and <italic>V</italic> represents the sum of the advective and mixing-diffusive terms. In steady state conditions, when it can be determined or reasonably assumed that no significant change in thorium activities occurred over the time period of interest, the calculation for <italic>P<sub>Th</sub>
</italic> at any depth <italic>z</italic> becomes:</p>
<disp-formula>
<label>(2)</label>
<mml:math display="block" id="M2">
<mml:mrow>
<mml:msub>
<mml:mi>P</mml:mi>
<mml:mrow>
<mml:mi>T</mml:mi>
<mml:mi>h</mml:mi>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>@</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mi>z</mml:mi>
</mml:mrow>
</mml:msub>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>=</mml:mo>
<mml:mstyle displaystyle="true">
<mml:mrow>
<mml:msubsup>
<mml:mo>&#x222b;</mml:mo>
<mml:mn>0</mml:mn>
<mml:mi>z</mml:mi>
</mml:msubsup>
<mml:mrow>
<mml:mrow>
<mml:mo stretchy="false">(</mml:mo>
<mml:mrow>
<mml:msub>
<mml:mi>&#x3bb;</mml:mi>
<mml:mrow>
<mml:mi>T</mml:mi>
<mml:mi>h</mml:mi>
</mml:mrow>
</mml:msub>
<mml:mrow>
<mml:mo stretchy="false">(</mml:mo>
<mml:mrow>
<mml:mi>U</mml:mi>
<mml:mo>&#x2212;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mi>T</mml:mi>
<mml:mi>h</mml:mi>
</mml:mrow>
<mml:mo stretchy="false">)</mml:mo>
</mml:mrow>
<mml:mo>+</mml:mo>
<mml:mi>V</mml:mi>
</mml:mrow>
<mml:mo stretchy="false">)</mml:mo>
</mml:mrow>
<mml:mo>&#xa0;</mml:mo>
<mml:mi>d</mml:mi>
<mml:mi>z</mml:mi>
</mml:mrow>
</mml:mrow>
</mml:mstyle>
</mml:mrow>
</mml:math>
</disp-formula>
<p>The physical processes potentially impacting a local <sup>234</sup>Th water column budget can be further described by:</p>
<disp-formula>
<label>(3)</label>
<mml:math display="block" id="M3">
<mml:mrow>
<mml:mi>V</mml:mi>
<mml:mo>=</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xb1;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mi>u</mml:mi>
<mml:mfrac>
<mml:mrow>
<mml:mo>&#x2202;</mml:mo>
<mml:mi>T</mml:mi>
<mml:mi>h</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mo>&#x2202;</mml:mo>
<mml:mi>x</mml:mi>
</mml:mrow>
</mml:mfrac>
<mml:mo>&#xb1;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mi>v</mml:mi>
<mml:mo>&#xa0;</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:mo>&#x2202;</mml:mo>
<mml:mi>T</mml:mi>
<mml:mi>h</mml:mi>
<mml:mo>&#xa0;</mml:mo>
</mml:mrow>
<mml:mrow>
<mml:mo>&#x2202;</mml:mo>
<mml:mi>y</mml:mi>
</mml:mrow>
</mml:mfrac>
<mml:mo>&#xb1;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mi>w</mml:mi>
<mml:mfrac>
<mml:mrow>
<mml:mo>&#x2202;</mml:mo>
<mml:mi>T</mml:mi>
<mml:mi>h</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mo>&#x2202;</mml:mo>
<mml:mi>z</mml:mi>
</mml:mrow>
</mml:mfrac>
<mml:mo>&#xb1;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:msub>
<mml:mi>K</mml:mi>
<mml:mi>x</mml:mi>
</mml:msub>
<mml:mfrac>
<mml:mrow>
<mml:msup>
<mml:mo>&#x2202;</mml:mo>
<mml:mn>2</mml:mn>
</mml:msup>
<mml:mi>T</mml:mi>
<mml:mi>h</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mo>&#x2202;</mml:mo>
<mml:msup>
<mml:mi>x</mml:mi>
<mml:mn>2</mml:mn>
</mml:msup>
</mml:mrow>
</mml:mfrac>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xb1;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:msub>
<mml:mi>K</mml:mi>
<mml:mi>y</mml:mi>
</mml:msub>
<mml:mfrac>
<mml:mrow>
<mml:msup>
<mml:mo>&#x2202;</mml:mo>
<mml:mn>2</mml:mn>
</mml:msup>
<mml:mi>T</mml:mi>
<mml:mi>h</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mo>&#x2202;</mml:mo>
<mml:msup>
<mml:mi>y</mml:mi>
<mml:mn>2</mml:mn>
</mml:msup>
</mml:mrow>
</mml:mfrac>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xb1;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:msub>
<mml:mi>K</mml:mi>
<mml:mi>z</mml:mi>
</mml:msub>
<mml:mfrac>
<mml:mrow>
<mml:msup>
<mml:mo>&#x2202;</mml:mo>
<mml:mn>2</mml:mn>
</mml:msup>
<mml:mi>T</mml:mi>
<mml:mi>h</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mo>&#x2202;</mml:mo>
<mml:msup>
<mml:mi>z</mml:mi>
<mml:mn>2</mml:mn>
</mml:msup>
</mml:mrow>
</mml:mfrac>
<mml:mo>&#xa0;</mml:mo>
</mml:mrow>
</mml:math>
</disp-formula>
<p>where <italic>u</italic> is the zonal velocity, v is the meridional velocity<italic>, w</italic> is the upwelling-downwelling velocity, <italic>K</italic> are dispersion coefficients, and the gradients (<italic>&#x2202;</italic> terms) are W-E, S-N, and vertical, respectively. The signs of the physical factor terms could change in time or space. The physical processes are accounted for with Equations (2) and (3) or, if 1-D steady state assumptions are valid for the region and time period, Equation (2) can be simplified to:</p>
<disp-formula>
<label>(4)</label>
<mml:math display="block" id="M4">
<mml:mrow>
<mml:msub>
<mml:mi>P</mml:mi>
<mml:mrow>
<mml:mi>T</mml:mi>
<mml:mi>h</mml:mi>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>@</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mi>z</mml:mi>
</mml:mrow>
</mml:msub>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>=</mml:mo>
<mml:mstyle displaystyle="true">
<mml:mrow>
<mml:msubsup>
<mml:mo>&#x222b;</mml:mo>
<mml:mn>0</mml:mn>
<mml:mi>z</mml:mi>
</mml:msubsup>
<mml:mrow>
<mml:msub>
<mml:mi>&#x3bb;</mml:mi>
<mml:mrow>
<mml:mi>T</mml:mi>
<mml:mi>h</mml:mi>
</mml:mrow>
</mml:msub>
<mml:mrow>
<mml:mo stretchy="false">(</mml:mo>
<mml:mrow>
<mml:mi>U</mml:mi>
<mml:mo>&#x2212;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mi>T</mml:mi>
<mml:mi>h</mml:mi>
</mml:mrow>
<mml:mo stretchy="false">)</mml:mo>
</mml:mrow>
<mml:mo>&#xa0;</mml:mo>
<mml:mi>d</mml:mi>
<mml:mi>z</mml:mi>
</mml:mrow>
</mml:mrow>
</mml:mstyle>
</mml:mrow>
</mml:math>
</disp-formula>
<p>These determinations and assumptions are examined further in the Discussion.</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Sediment accumulation flux of <sup>234</sup>Th</title>
<p>The deficit of <sup>234</sup>Th in the water column with respect to parent <sup>238</sup>U reflects the removal of <sup>234</sup>Th via particle settling. Therefore, in a 1-D system (i.e. no lateral losses and no significant temporal changes in <sup>234</sup>Th activities), and assuming large particle settling rates of 10&#x2013;150 m d<sup>-1</sup> (<xref ref-type="bibr" rid="B42">McDonnell and Buesseler, 2010</xref>), we anticipate that the excess of <sup>234</sup>Th in surface sediments is roughly equal to the deficit of <sup>234</sup>Th in water column in the shallow Bedford Basin (~70 m water depth). Similar to Equation (4), the sediment accumulation flux of <sup>234</sup>Th (<italic>P<sub>seds</sub>
</italic>) can be expressed as the integrated difference in sediment inventories of the parent <sup>238</sup>U and the daughter <sup>234</sup>Th multiplied by the decay constant for <sup>234</sup>Th:</p>
<disp-formula>
<label>(5)</label>
<mml:math display="block" id="M5">
<mml:mrow>
<mml:msub>
<mml:mi>P</mml:mi>
<mml:mrow>
<mml:mi>s</mml:mi>
<mml:mi>e</mml:mi>
<mml:mi>d</mml:mi>
<mml:mi>s</mml:mi>
</mml:mrow>
</mml:msub>
<mml:mo>=</mml:mo>
<mml:mstyle displaystyle="true">
<mml:mrow>
<mml:msubsup>
<mml:mo>&#x222b;</mml:mo>
<mml:mn>0</mml:mn>
<mml:mrow>
<mml:mi>E</mml:mi>
<mml:mi>Q</mml:mi>
</mml:mrow>
</mml:msubsup>
<mml:mrow>
<mml:msub>
<mml:mi>&#x3bb;</mml:mi>
<mml:mrow>
<mml:mi>T</mml:mi>
<mml:mi>h</mml:mi>
</mml:mrow>
</mml:msub>
<mml:mrow>
<mml:mo stretchy="false">(</mml:mo>
<mml:mrow>
<mml:mi>T</mml:mi>
<mml:mi>h</mml:mi>
<mml:mo>&#x2212;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mi>U</mml:mi>
</mml:mrow>
<mml:mo stretchy="false">)</mml:mo>
</mml:mrow>
<mml:mo>&#xa0;</mml:mo>
<mml:mi>d</mml:mi>
<mml:mi>z</mml:mi>
</mml:mrow>
</mml:mrow>
</mml:mstyle>
<mml:mo>=</mml:mo>
<mml:mstyle displaystyle="true">
<mml:mrow>
<mml:msubsup>
<mml:mo>&#x222b;</mml:mo>
<mml:mn>0</mml:mn>
<mml:mrow>
<mml:mi>E</mml:mi>
<mml:mi>Q</mml:mi>
</mml:mrow>
</mml:msubsup>
<mml:mrow>
<mml:msub>
<mml:mi>&#x3bb;</mml:mi>
<mml:mrow>
<mml:mi>T</mml:mi>
<mml:mi>h</mml:mi>
</mml:mrow>
</mml:msub>
<mml:mrow>
<mml:mo stretchy="false">(</mml:mo>
<mml:mrow>
<mml:mi>T</mml:mi>
<mml:msub>
<mml:mi>h</mml:mi>
<mml:mrow>
<mml:mi>e</mml:mi>
<mml:mi>x</mml:mi>
<mml:mi>c</mml:mi>
<mml:mi>e</mml:mi>
<mml:mi>s</mml:mi>
<mml:mi>s</mml:mi>
</mml:mrow>
</mml:msub>
</mml:mrow>
<mml:mo stretchy="false">)</mml:mo>
</mml:mrow>
<mml:mo>&#xa0;</mml:mo>
<mml:mi>d</mml:mi>
<mml:mi>z</mml:mi>
</mml:mrow>
</mml:mrow>
</mml:mstyle>
</mml:mrow>
</mml:math>
</disp-formula>
<p>Here <italic>Th</italic> and <italic>U</italic> activities are in units of dpm m<sup>-3</sup> and found by gamma counting dry sediments (dpm kg<sup>-1</sup>) and multiplying by the dry bulk density. Dry bulk density is assumed to be 0.080&#xa0;g cm<sup>-3</sup> (97% porosity, sediment grain density = 2.65&#xa0;g cm<sup>-3</sup>). Excess <sup>234</sup>Th (<italic>Th<sub>excess</sub>
</italic>) is the amount that is not in secular equilibrium with the <sup>238</sup>U present in the sediments, presumably because it arrived via the supply of settling particles. Excess <sup>234</sup>Th is typically observed in the top 3-5&#xa0;cm, where recent sedimentation and bioturbation has occurred. The depth of equilibrium or integration (<italic>EQ</italic>) is where <italic>Th<sub>excess</sub>
</italic> is no longer measurable.</p>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>Residence times for <sup>234</sup>Th</title>
<p>The residence time (<italic>&#x3c4;</italic>) of a chemical constituent can be calculated by dividing the integrated inventory by a source or removal flux. Residence times provide insight into how the particle dynamics of a region impact the rate at which <sup>234</sup>Th is scavenged from the dissolved pool and how quickly <sup>234</sup>Th on smaller particles is incorporated into larger, sinking particle phases.</p>
<p>The residence time of scavenging or the transfer of dissolved <sup>234</sup>Th (<italic>Th<sub>diss</sub>
</italic>) into the particulate phase can be calculated with:</p>
<disp-formula>
<label>(6)</label>
<mml:math display="block" id="M6">
<mml:mrow>
<mml:msub>
<mml:mi>&#x3c4;</mml:mi>
<mml:mrow>
<mml:mi>s</mml:mi>
<mml:mi>c</mml:mi>
<mml:mi>a</mml:mi>
<mml:mi>v</mml:mi>
</mml:mrow>
</mml:msub>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>=</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:mo>&#xa0;</mml:mo>
<mml:mi>T</mml:mi>
<mml:msub>
<mml:mi>h</mml:mi>
<mml:mrow>
<mml:mi>d</mml:mi>
<mml:mi>i</mml:mi>
<mml:mi>s</mml:mi>
<mml:mi>s</mml:mi>
</mml:mrow>
</mml:msub>
</mml:mrow>
<mml:mrow>
<mml:msub>
<mml:mi>&#x3bb;</mml:mi>
<mml:mrow>
<mml:mi>T</mml:mi>
<mml:mi>h</mml:mi>
</mml:mrow>
</mml:msub>
<mml:mrow>
<mml:mo stretchy="false">(</mml:mo>
<mml:mrow>
<mml:mi>U</mml:mi>
<mml:mo>&#x2212;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mi>T</mml:mi>
<mml:msub>
<mml:mi>h</mml:mi>
<mml:mrow>
<mml:mi>d</mml:mi>
<mml:mi>i</mml:mi>
<mml:mi>s</mml:mi>
<mml:mi>s</mml:mi>
</mml:mrow>
</mml:msub>
</mml:mrow>
<mml:mo stretchy="false">)</mml:mo>
</mml:mrow>
</mml:mrow>
</mml:mfrac>
</mml:mrow>
</mml:math>
</disp-formula>
<p>where <italic>&#x3c4;<sub>scav</sub>
</italic> is expressed in days, <italic>Th<sub>diss</sub>
</italic> is the dissolved activity, and <italic>U</italic> represents the total <sup>238</sup>U activity (<xref ref-type="bibr" rid="B7">Baskaran et&#xa0;al., 1996</xref>). Likewise, the residence time of particulate <sup>234</sup>Th (<italic>Th<sub>part</sub>
</italic>) with respect to removal via sinking particles can be determined as:</p>
<disp-formula>
<label>(7)</label>
<mml:math display="block" id="M7">
<mml:mrow>
<mml:msub>
<mml:mi>&#x3c4;</mml:mi>
<mml:mrow>
<mml:mi>p</mml:mi>
<mml:mi>a</mml:mi>
<mml:mi>r</mml:mi>
<mml:mi>t</mml:mi>
</mml:mrow>
</mml:msub>
<mml:mo>=</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:mo>&#xa0;</mml:mo>
<mml:mi>T</mml:mi>
<mml:msub>
<mml:mi>h</mml:mi>
<mml:mrow>
<mml:mi>p</mml:mi>
<mml:mi>a</mml:mi>
<mml:mi>r</mml:mi>
<mml:mi>t</mml:mi>
</mml:mrow>
</mml:msub>
</mml:mrow>
<mml:mrow>
<mml:msub>
<mml:mi>&#x3bb;</mml:mi>
<mml:mrow>
<mml:mi>T</mml:mi>
<mml:mi>h</mml:mi>
</mml:mrow>
</mml:msub>
<mml:mrow>
<mml:mo stretchy="false">(</mml:mo>
<mml:mrow>
<mml:mi>U</mml:mi>
<mml:mo>&#x2212;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mi>T</mml:mi>
<mml:mi>h</mml:mi>
</mml:mrow>
<mml:mo stretchy="false">)</mml:mo>
</mml:mrow>
</mml:mrow>
</mml:mfrac>
</mml:mrow>
</mml:math>
</disp-formula>
<p>where the denominator corresponds to the flux as noted in Equation (4).</p>
</sec>
<sec id="s2_5">
<label>2.5</label>
<title>Determination of particulate carbon fluxes</title>
<p>While the <sup>234</sup>Th method for the determination of particulate carbon fluxes has been less frequently applied in coastal regions (<xref ref-type="bibr" rid="B22">Charette et&#xa0;al., 2001</xref>; <xref ref-type="bibr" rid="B65">Waples et&#xa0;al., 2006</xref>; <xref ref-type="bibr" rid="B38">Le Moigne et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B66">Waples and Klump, 2013</xref>), the same principles used in the open ocean apply here as well. The flux of <sup>234</sup>Th at a given depth <italic>z</italic> in the water column is combined with measurements of the POC:<sup>234</sup>Th ratio on sinking particles at that depth to determine POC flux:</p>
<disp-formula>
<label>(8)</label>
<mml:math display="block" id="M8">
<mml:mrow>
<mml:msub>
<mml:mi>P</mml:mi>
<mml:mrow>
<mml:mi>P</mml:mi>
<mml:mi>O</mml:mi>
<mml:mi>C</mml:mi>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>@</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mi>z</mml:mi>
</mml:mrow>
</mml:msub>
<mml:mo>=</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:mrow>
<mml:mo stretchy="false">[</mml:mo>
<mml:mrow>
<mml:mi>P</mml:mi>
<mml:mi>O</mml:mi>
<mml:mi>C</mml:mi>
</mml:mrow>
<mml:mo stretchy="false">]</mml:mo>
</mml:mrow>
</mml:mrow>
<mml:mrow>
<mml:mo>&#xa0;</mml:mo>
<mml:mi>T</mml:mi>
<mml:mi>h</mml:mi>
</mml:mrow>
</mml:mfrac>
<mml:msub>
<mml:mi>P</mml:mi>
<mml:mrow>
<mml:mi>T</mml:mi>
<mml:mi>h</mml:mi>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>@</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mi>z</mml:mi>
</mml:mrow>
</mml:msub>
</mml:mrow>
</mml:math>
</disp-formula>
<p>Particles collected on 51 &#xb5;m filters (&#x2018;large particles&#x2019;) are often considered to be sinking and those from 1 to 51 &#xb5;m (&#x2018;small particles&#x2019;) to be suspended (<xref ref-type="bibr" rid="B14">Bishop et&#xa0;al., 1977</xref>). However, slowly settling, small particles have been shown to contribute to carbon fluxes (e.g. <xref ref-type="bibr" rid="B27">Durkin et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B54">Puigcorb&#xe9; et&#xa0;al., 2015</xref>) and therefore the POC:<sup>234</sup>Th ratios were assessed for both size fractions in this study.</p>
<p>Here the sediment accumulation fluxes of <sup>234</sup>Th with small and large particle POC:<sup>234</sup>Th ratios are also used to assess sedimentary carbon accumulation fluxes. POC:<sup>234</sup>Th ratios were measured at ~60-65m, which represent particles that are about to be deposited on the seafloor. These ratios were combined with the sediment accumulation fluxes of <sup>234</sup>Th in Equation (8) to calculate the accumulation flux of POC in the surface sediments. For comparison, POC:<sup>234</sup>Th ratios in the uppermost surface sediments were also measured, which represent deposited material that has likely experienced some degree of diagenetic processing.</p>
<p>A range in daily net primary production (NPP) for the Bedford Basin was also found using available <italic>in-situ</italic> measurements and global database products (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Text 1.1</bold>
</xref>). Benthic carbon fluxes (i.e., flux from the water column to the sediments) were then determined using the modeled NPP results. The model-based estimates are used here for broad comparison with the measurement-based, sediment trap and <sup>234</sup>Th-derived carbon fluxes.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<sec id="s3_1">
<label>3.1</label>
<title>General characteristics at the compass station</title>
<p>The base of the euphotic zone in Bedford Basin typically ranges from 15 to 25&#xa0;m (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2C</bold>
</xref>). March 2019 marked the onset of increased Chlorophyll-a (Chl-a) concentrations in the euphotic zone (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2C</bold>
</xref>). Beginning in April-May, the water column slowly stratified and around July a persistent and significant temperature and density difference was observed between the upper ~20 m and the deeper water column. Due to persistent overcast skies in early 2019, the spring &#x2018;bloom&#x2019; in the basin did not reach the peak levels of the two previous years (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2D</bold>
</xref>). Nevertheless, integrated Chl-a concentrations in the euphotic zone were noticeably higher in April compared to those observed in the months before or after April (e.g., February and June, <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2D</bold>
</xref>).</p>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Water column salinity, thorium activities, and carbon concentrations</title>
<p>Salinities (<italic>S</italic>) ranged from 29.7 to 31.3 and thus, salinity-derived <sup>238</sup>U activities ranged from 2.02 dpm L<sup>-1</sup> to 2.14 dpm L<sup>-1</sup> (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3A</bold>
</xref>). <sup>238</sup>U activities were derived using the <xref ref-type="bibr" rid="B48">Owens et&#xa0;al. (2011)</xref> relationship of <sup>238</sup>U = 0.0786 &#xd7; <italic>S</italic> &#x2013; 0.315 and its associated uncertainties. At all sampling dates, total <sup>234</sup>Th activities are lower than <sup>238</sup>U activities at all depths, revealing a Th deficit in the entire water column. The lowest <sup>234</sup>Th activities, however, were observed in the upper 5 to 10 meters in all months and especially in August. Total <sup>234</sup>Th activities for all dates averaged (&#xb1; s.d.) 0.9 &#xb1; 0.2 dpm L<sup>-1</sup> and ratios of <sup>234</sup>Th:<sup>238</sup>U ranged from 0.18 to 0.61 (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3A</bold>
</xref>).</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Seawater radioisotope activities and carbon concentrations at Compass Station. Panels show <bold>(A)</bold> total <sup>234</sup>Th (&#x2022;) and <sup>238</sup>U (&#x25aa;) activities, <bold>(B)</bold> size-fractionated <sup>234</sup>Th activities, <bold>(C)</bold> size-fractionated POC concentrations, and <bold>(D)</bold> the particulate ratio of POC: <sup>234</sup>Th for 2019. <sup>238</sup>U activities were estimated using the <xref ref-type="bibr" rid="B48">Owens et&#xa0;al. (2011)</xref> U-salinity relationship and uncertainties are ~3%. Large particle (&#x25be;) and small particle (&#x25b4;) data are the &gt;51 &#xb5;m and 1-51 &#xb5;m fractions, respectively.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-10-1254316-g003.tif"/>
</fig>
<p>The particulate <sup>234</sup>Th results were also relatively consistent between depths and sampling dates (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3B</bold>
</xref>). Large particle <sup>234</sup>Th activities averaged 0.008 &#xb1; 0.006 dpm L<sup>-1</sup> with a range of 0.003 to 0.02 dpm L<sup>-1</sup>. The small particle <sup>234</sup>Th average was significantly higher and averaged 0.6 &#xb1; 0.2 dpm L<sup>-1</sup> with a range of 0.29 to 1.0 dpm L<sup>-1</sup>. The large particle fraction was only 0.9% &#xb1; 0.6% of the total <sup>234</sup>Th present and the small particle fraction was 63% &#xb1; 22% of the total. Total particulate RA<sub>P234</sub> activities, the sum of the small and large particle RA<sub>P234</sub>, were generally below the method detection limit (~92 dpm m<sup>-3</sup>, <xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>, left top). The detection limit for Bedford Basin is equivalent to two times the s.d. of the dipped blank mean. The highest RA<sub>P234</sub> activity by far was measured at 40&#xa0;m in August (170 dpm m<sup>-3</sup>) and all other RA<sub>P234</sub> activities were below 120 dpm m<sup>-3</sup>. The small particle data dominated the RA<sub>P234</sub> signal and the graph for small particle RA<sub>P234</sub> is visually indistinguishable from the total particulate graph in <xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref> (left top).</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Particulate RA<sub>P234</sub> at the Compass Station with coastal Arctic comparisons. The residual &#x3b2; activity of particulate <sup>234</sup>Th (RA<sub>P234)</sub> is a novel proxy for resuspension that behaves in a similar manner to lithophile elements (<xref ref-type="bibr" rid="B40">Lin et&#xa0;al., 2016</xref>). Total RA<sub>P234</sub> for the Bedford Basin (left top panel) are shown with select shallow Arctic Ocean results from Lin et&#xa0;al. (right top panel). Detection limits (vertical solid lines, top panels) are derived from filter blank analyses. The conceptual model proposed by Lin et&#xa0;al. (bottom panel) suggests that biological particle production (horizontal dotted line) increases POC without significantly increasing activities of parent isotopes found in sediments (i.e., <sup>238</sup>U and <sup>232</sup>Th). Conversely, resuspension processes (vertical dashed line) will increase parent isotope activities in water column particulates while bringing the POC typical of local sediments. As noted in <xref ref-type="bibr" rid="B40">Lin et&#xa0;al. (2016)</xref> the slope of the best fit (solid line) to the Arctic shelf data (triangles) falls well within the range of sedimentary ratios of parent isotopes to POC in the region.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-10-1254316-g004.tif"/>
</fig>
<p>The large and small particle POC concentrations averaged 3.0 &#xb1; 0.9 &#xb5;M and 14 &#xb1; 13 &#xb5;M, respectively (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3C</bold>
</xref>). The relative standard deviation for the large particle <sup>234</sup>Th activities (78%) was much greater than that of the corresponding POC concentrations (30%). The reverse was true for the small particles, with the <sup>234</sup>Th activity relative standard deviation at 39% and the POC concentration relative standard deviation at 90%. The large particle POC:<sup>234</sup>Th ratios averaged 485 &#xb1; 262 &#xb5;mol:dpm and ranged from 132 to 923 &#xb5;mol:dpm (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3D</bold>
</xref>). The small particle POC:<sup>234</sup>Th ratios were significantly lower, averaging 32 &#xb1; 39 &#xb5;mol:dpm and ranging from 7 to 122 &#xb5;mol:dpm. Like the <sup>234</sup>Th partitioning, most of the total particulate carbon, averaging 17 &#xb5;M, was in the small particle fraction (~75% on average).</p>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Sedimentary carbon content and excess <sup>234</sup>Th activities</title>
<p>Excess <sup>234</sup>Th was concentrated in the upper 2&#xa0;cm of the cores (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5A</bold>
</xref>). The 0-2&#xa0;cm layer had a much higher <sup>234</sup>Th activity in April (~30 dpm g<sup>-1</sup>) compared to the other dates (9 to 18 dpm g<sup>-1</sup>). The equilibrium depth was consistent and a lack of excess <sup>234</sup>Th was always observed by ~5 cm core depth, with supported <sup>234</sup>Th activities between 5&#xa0;cm and 7&#xa0;cm averaging 2.6 &#xb1; 0.2 dpm g<sup>-1</sup> (s.d.). Sedimentary POC concentrations, averaging 4.8 &#xb1; 0.7 mmol C g<sup>-1</sup> (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5B</bold>
</xref>), and %POC, averaging 5.8% &#xb1; 0.9%, were remarkably consistent with core depth between 0-5&#xa0;cm. Including all the sampled sediment layers (0-32&#xa0;cm), the average %POC was statistically the same at 5.6% &#xb1; 0.7% for all dates. The %POC found in this study matched well with historical coring efforts in the basin that found 4.6% at the Compass Station and between 4.3% and 5.8% nearby (<xref ref-type="bibr" rid="B17">Buckley et&#xa0;al., 1995</xref>). The POC:<sup>234</sup>Th ratios (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5C</bold>
</xref>) of interest are those in the 0-2&#xa0;cm layers, because these layers are the most recently deposited. The POC:<sup>234</sup>Th in these layers averaged 355 &#xb1; 187 &#xb5;mol dpm<sup>-1</sup> and increased below 2&#xa0;cm due to the drop in excess <sup>234</sup>Th activities.</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>
<sup>234</sup>Th activities and carbon concentrations in sediments at Compass Station. Panels show <bold>(A)</bold> excess <sup>234</sup>Th or <sup>234</sup>Th activities not supported by decay from parent <sup>238</sup>U, <bold>(B)</bold> POC concentrations, and <bold>(C)</bold> the ratio of POC:excess <sup>234</sup>Th for 2019. Two sets of sediment core data for August reflect the observed similarity within a given multi-corer deployment. Ratio uncertainties increase with depth within the sediment core because little excess <sup>234</sup>Th is present below 2&#xa0;cm.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-10-1254316-g005.tif"/>
</fig>
</sec>
<sec id="s3_4">
<label>3.4</label>
<title>
<sup>234</sup>Th fluxes in the water column and to the sediments</title>
<p>The cumulative flux of <sup>234</sup>Th in the water column linearly increased with water depth on all sampling dates (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6</bold>
</xref>) and always with a coefficient of determination (R<sup>2</sup>) &gt; 0.99. If the data from all dates are combined, the resulting linear regression produces a rate of 31 dpm m<sup>-2</sup> d<sup>-1</sup> per meter (y-intercept = 135) or 34 dpm m<sup>-2</sup> d<sup>-1</sup> per meter assuming no <sup>234</sup>Th flux at the sea surface. The <sup>234</sup>Th fluxes at the deepest sampling depths for each date (60-65&#xa0;m) are reported in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref> with linearly extrapolated values for the predicted flux at the sediment-water interface of ~70 m. The water column export of <sup>234</sup>Th averaged 2000 dpm m<sup>-2</sup> d<sup>-1</sup> at 60&#xa0;m to 65&#xa0;m while the extrapolated flux of <sup>234</sup>Th at 70&#xa0;m is predicted to be 2300 dpm m<sup>-2</sup> d<sup>-1</sup> averaging all sampling dates. More variability was observed with the sediment accumulation fluxes of <sup>234</sup>Th (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6</bold>
</xref>, <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>), which averaged 2000 dpm m<sup>-2</sup> d<sup>-1</sup> but ranged from ~1100 dpm m<sup>-2</sup> d<sup>-1</sup> (February) to 3600 dpm m<sup>-2</sup> d<sup>-1</sup> (April). The <sup>234</sup>Th fluxes from the August replicate cores were similar within the calculated uncertainties (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>).</p>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>
<sup>234</sup>Th flux with water depth. Seawater <sup>234</sup>Th activities were used to derive water column <sup>234</sup>Th fluxes (&#x2022;). The water column <sup>234</sup>Th flux uncertainties represent the propagated <sup>234</sup>Th measurement uncertainty and a conservative 10% uncertainty on the <sup>238</sup>U estimates (Section 4.1.3). Sediment inventories of excess <sup>234</sup>Th were integrated from 0 to ~4 cm for a total <sup>234</sup>Th flux to the sediments (&#x2666;). Sediment fluxes are shown as a single value below the dashed line approximating the sediment-water interface.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-10-1254316-g006.tif"/>
</fig>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>
<sup>234</sup>Th and carbon fluxes.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="center">Feb</th>
<th valign="top" align="center">Apr</th>
<th valign="top" align="center">May</th>
<th valign="top" align="center">Aug<sup>a</sup>
</th>
<th valign="top" align="center">Averages<sup>b</sup>
</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="top" colspan="6" align="left">
<sup>234</sup>Th Flux (dpm m<sup>-2</sup> d<sup>-1</sup>)</th>
</tr>
<tr>
<td valign="top" align="left">Measured water column flux (summed at 60-65&#xa0;m)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">2140 &#xb1; 160</td>
<td valign="top" align="center">1890 &#xb1; 150</td>
<td valign="top" align="center">2020 &#xb1; 150</td>
<td valign="top" align="center">2000 &#xb1; 100</td>
</tr>
<tr>
<td valign="top" align="left">Linear extrapolation of water column flux (at 70&#xa0;m)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">2300 &#xb1; 310</td>
<td valign="top" align="center">2240 &#xb1; 310</td>
<td valign="top" align="center">2380 &#xb1; 320</td>
<td valign="top" align="center">2300 &#xb1; 100</td>
</tr>
<tr>
<td valign="top" align="left">Sediment accumulation flux (summed 0-5&#xa0;cm)</td>
<td valign="top" align="center">1070 &#xb1; 310</td>
<td valign="top" align="center">3610 &#xb1; 1610</td>
<td valign="top" align="center">1540 &#xb1; 540</td>
<td valign="top" align="center">2040 &#xb1; 500<break/>2010 &#xb1; 570</td>
<td valign="top" align="center">2000 &#xb1; 1000</td>
</tr>
<tr>
<th valign="top" colspan="6" align="left">POC:<sup>234</sup>Th (&#xb5;mol:dpm)</th>
</tr>
<tr>
<td valign="top" align="left">&gt;51 &#xb5;m large particle<break/>(LP, at 60-65&#xa0;m)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">340 &#xb1; 10</td>
<td valign="top" align="center">920 &#xb1; 30</td>
<td valign="top" align="center">300 &#xb1; 80</td>
<td valign="top" align="center">500 &#xb1; 300</td>
</tr>
<tr>
<td valign="top" align="left">1-51 &#xb5;m small particle<break/>(SP, at 60-65&#xa0;m)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">11 &#xb1; 4</td>
<td valign="top" align="center">11 &#xb1; 6</td>
<td valign="top" align="center">60 &#xb1; 20</td>
<td valign="top" align="center">30 &#xb1; 30</td>
</tr>
<tr>
<td valign="top" align="left">Surface sediments (0-2&#xa0;cm)</td>
<td valign="top" align="center">720 &#xb1; 60</td>
<td valign="top" align="center">170 &#xb1; 10</td>
<td valign="top" align="center">250 &#xb1; 20</td>
<td valign="top" align="center">390 &#xb1; 30<break/>280 &#xb1; 20</td>
<td valign="top" align="center">400 &#xb1; 200</td>
</tr>
<tr>
<th valign="top" colspan="6" align="left">POC Flux (mmol C m<sup>-2</sup> d<sup>-1</sup>)</th>
</tr>
<tr>
<td valign="top" align="left">Water Th flux &#xd7; LP ratio</td>
<td valign="top" align="center"/>
<td valign="top" align="center">780 &#xb1; 190</td>
<td valign="top" align="center">2070 &#xb1; 500</td>
<td valign="top" align="center">710 &#xb1; 170</td>
<td valign="top" align="center">1200 &#xb1; 800</td>
</tr>
<tr>
<td valign="top" align="left">Water Th flux &#xd7; SP ratio</td>
<td valign="top" align="center"/>
<td valign="top" align="center">25 &#xb1; 10</td>
<td valign="top" align="center">20 &#xb1; 10</td>
<td valign="top" align="center">150 &#xb1; 40</td>
<td valign="top" align="center">70 &#xb1; 70</td>
</tr>
<tr>
<td valign="top" align="left">Sediment Th flux &#xd7; LP ratio</td>
<td valign="top" align="center"/>
<td valign="top" align="center">1230 &#xb1; 550</td>
<td valign="top" align="center">1420 &#xb1; 500</td>
<td valign="top" align="center">610 &#xb1; 230<break/>600 &#xb1; 240</td>
<td valign="top" align="center">1100 &#xb1; 400</td>
</tr>
<tr>
<td valign="top" align="left">Sediment Th flux &#xd7; SP ratio</td>
<td valign="top" align="center"/>
<td valign="top" align="center">40 &#xb1; 20</td>
<td valign="top" align="center">20 &#xb1; 10</td>
<td valign="top" align="center">130 &#xb1; 40<break/>130 &#xb1; 50</td>
<td valign="top" align="center">60 &#xb1; 60</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>
<sup>234</sup>Th fluxes leaving the water column (export) and being deposited in underlying sediments (sediment accumulation) were determined at the Compass Station in 2019. The linear extrapolations to 70&#xa0;m for the <sup>234</sup>Th fluxes have propagated uncertainties that also include non-steady state and lateral advection component considerations (See Section 4.1). Carbon fluxes at 70&#xa0;m were estimated using Equation (8) and multiplying the water column <sup>234</sup>Th flux by either the POC: <sup>234</sup>Th ratio measured on large (LP) or small (SP) particles. The discussion of carbon fluxes in this study uses the small particle ratios (See Section 4.4 and 4.5). <sup>a</sup>The dual results reported for August represent replicate sediment cores. For the final averages, the August replicate results are first averaged together and then averaged with the core results from other dates. <sup>b</sup>Winter conditions have not yet been studied and could potentially produce lower fluxes. The average POC fluxes likely reflect export in the basin during spring, summer, and fall only. The final averages (&#xb1; s.d.) have been rounded to reflect the appropriate significant figures.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_5">
<label>3.5</label>
<title>
<sup>234</sup>Th residence times in Bedford Basin</title>
<p>The residence time of dissolved <sup>234</sup>Th (<italic>&#x3c4;<sub>scav</sub>
</italic>) at the Compass Station was 9 &#xb1; 8 days, while the residence time of particulate <sup>234</sup>Th (<italic>&#x3c4;<sub>part</sub>
</italic>) was 21 &#xb1; 9 days. With most of the total <sup>234</sup>Th present in the small particle (63%) and large particle (0.9%) phases, it is unsurprising that <italic>&#x3c4;<sub>scav</sub>
</italic>&lt;<italic>&#x3c4;<sub>part</sub>
</italic> was always observed. The mid-water column had the longest observed <italic>&#x3c4;<sub>scav</sub>
</italic> in August (<italic>&#x3c4;<sub>scav</sub>
</italic> = 25 days). The surface layers in April and August had the shortest (<italic>&#x3c4;<sub>scav</sub>
</italic> = 1 to 2 days). This August surface layer also had the lowest total <sup>234</sup>Th observed (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3A</bold>
</xref>).</p>
</sec>
<sec id="s3_6">
<label>3.6</label>
<title>
<sup>234</sup>Th-derived particulate carbon export</title>
<p>The POC flux at 70&#xa0;m, determined using a large particle ratio for Equation (4), reached a minimum in August (710 mmol C m<sup>-2</sup> d<sup>-1</sup>) and a maximum in May (2070 mmol C m<sup>-2</sup> d<sup>-1</sup>, <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). The average large particle POC flux was 1200 mmol C m<sup>-2</sup> d<sup>-1</sup>. The POC fluxes calculated using the small particle POC:<sup>234</sup>Th ratios were much lower, averaging 70 mmol C m<sup>-2</sup> d<sup>-1</sup>. In contrast to the large particle-based fluxes, the small particle-based carbon export shifted from 20-25 mmol C m<sup>-2</sup> d<sup>-1</sup> in April and May to a high of 150 mmol C m<sup>-2</sup> d<sup>-1</sup> in August. To determine the flux of POC to the sediments (i.e., the sediment accumulation flux of carbon), the large and small POC:<sup>234</sup>Th ratios from the 60-65&#xa0;m water column samples were multiplied by the sediment accumulation flux of <sup>234</sup>Th determined from the sediment cores. The average POC sediment accumulation fluxes (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>) were 1100 mmol C m<sup>-2</sup> d<sup>-1</sup> (large particle ratio) and 60 mmol C m<sup>-2</sup> d<sup>-1</sup> (small particle ratio). The average POC flux estimates determined from the water column and sediment measurements were therefore comparable for the respective POC:<sup>234</sup>Th ratios used, which is related to the similarity in observed <sup>234</sup>Th fluxes (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>).</p>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<sec id="s4_1">
<label>4.1</label>
<title>
<sup>238</sup>U-<sup>234</sup>Th system assumptions</title>
<p>To determine a <sup>234</sup>Th budget for the water column at the Compass Station using Equation (4), to compare water column fluxes of <sup>234</sup>Th to the sediment accumulation fluxes found using Equation (5), and to be able to evaluate the factors influencing the <sup>234</sup>Th budget in Bedford Basin relative to those influencing other types of marine regimes, there are five main assumptions and sources of uncertainty to assess: steady state, <sup>234</sup>Th measurements, <sup>238</sup>U estimates, the significance of physical factors (i.e. advection), and the potential impact of sediment resuspension. A summary table of these assumptions and uncertainties is included <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;1</bold>
</xref>. Each element is explored in this section with respect to its potential influence on export calculations, except for <sup>234</sup>Th measurements. In this study, <sup>234</sup>Th measurement accuracy and precision were carefully evaluated by using process blanks, yield monitors, replicates, and beta counting standards.</p>
<sec id="s4_1_1">
<label>4.1.1</label>
<title>Steady state assumption</title>
<p>During 2019, weekly Chl-a data at the Compass Station were assessed, and a concerted effort was made to conduct sampling events during periods of relative stability to minimize non-steady state effects (NSS, i.e., impacts of rapid temporal changes in Th activities over weeks to days). For example, the April 2019 event was conducted during the spring bloom plateau (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2D</bold>
</xref>). For the April to May sampling event transition, the NSS contribution to thorium export was estimated to be +70 dpm m<sup>-2</sup> d<sup>-1</sup> with a propagated uncertainty of &#xb1;140 dpm m<sup>-2</sup> d<sup>-1</sup>. A comparable or lesser NSS component can be assumed for the August event, which had a much smaller pre-sampling decline in Chl-a than was seen in April-May (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2D</bold>
</xref>). Therefore, the maximum NSS contribution (+70 dpm m<sup>-2</sup> d<sup>-1</sup>) and its uncertainty ( &#xb1; 140 dpm m<sup>-2</sup> d<sup>-1</sup>) make up less than 7% of the average water column export of <sup>234</sup>Th (~2300 dpm m<sup>-2</sup> d<sup>-1</sup>) for these months using Equation (4). The uncertainty of &#xb1;140 dpm m<sup>-2</sup> d<sup>-1</sup> has been propagated through to the <sup>234</sup>Th export fluxes reported in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>. Given the relatively small importance of the NSS factor during the 2019 sampling in this study, steady state conditions are confidently assumed for all three sampling periods. Nevertheless, steady state assumptions may not always hold in the basin and other coastal regions. When feasible, repeat sampling (every 1-4 weeks) is recommended, so that potential NSS conditions can be evaluated quantitatively (<xref ref-type="bibr" rid="B58">Savoye et&#xa0;al., 2006</xref>).</p>
</sec>
<sec id="s4_1_2">
<label>4.1.2</label>
<title>Use of a global <sup>238</sup>U-salinity relationship</title>
<p>In open ocean <sup>234</sup>Th studies, <sup>238</sup>U is most often estimated by using salinity measurements and a global <sup>238</sup>U-salinity relationship (e.g. <xref ref-type="bibr" rid="B23">Chen et&#xa0;al., 1986</xref>; <xref ref-type="bibr" rid="B51">Pates and Muir, 2007</xref>; <xref ref-type="bibr" rid="B48">Owens et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B46">Not et&#xa0;al., 2012</xref>), not by direct measurement. Areas receiving significant freshwater inputs, and thus those with low salinities (e.g. salinities&lt;15, <xref ref-type="bibr" rid="B4">Andersson et&#xa0;al., 1995</xref>), could be depleted in <sup>238</sup>U. If salinity were used to determine <sup>238</sup>U activities in these locations, the <sup>234</sup>Th export flux would be underestimated. Conversely, while these cases are rare, coastal regions with unique U-rich phosphate sediments (<xref ref-type="bibr" rid="B62">Swarzenski and Baskaran, 2007</xref>) and proximity to phosphate-fertilizer plants (<xref ref-type="bibr" rid="B51">Pates and Muir, 2007</xref>) can show local enrichments of <sup>238</sup>U. The salinities recorded during the Bedford Basin 2019 sampling periods (29.7 to 31.3) reflect a much smaller range compared to what is often observed in the open ocean and along river-estuarine gradients (e.g. <xref ref-type="bibr" rid="B62">Swarzenski and Baskaran, 2007</xref>). The Bedford Basin salinity-derived <sup>238</sup>U activities found using the <xref ref-type="bibr" rid="B48">Owens et&#xa0;al. (2011)</xref> relationship and the <xref ref-type="bibr" rid="B46">Not et&#xa0;al. (2012)</xref> relationship (salinity range = 0.1 to 135) were indistinguishable within the propagated uncertainties (maximum activity difference = 0.01 dpm L<sup>-1</sup>). Furthermore, a study of oxygen isotope endmembers in the basin indicates that freshwater contributes less than 20% to surface waters (5&#xa0;m) and is negligible in the deeper waters of Bedford Basin (<xref ref-type="bibr" rid="B37">Kerrigan et&#xa0;al., 2017</xref>). Because marine waters are the major source to the basin throughout the year, it is unlikely that freshwater entering via the Sackville River plays a significant role in the <sup>238</sup>U balance here. Finally, <xref ref-type="bibr" rid="B31">Gustafsson et&#xa0;al. (1998)</xref> sampled the semi-enclosed Casco Bay (~43.7&#xb0;N, 70&#xb0;W, an inlet of the Gulf of Maine) and found no <sup>238</sup>U-salinity deviations for waters with salinities from 28.7 to 32.9.</p>
<p>Significant authigenic precipitation of <sup>238</sup>U in the water column and/or in sediments (with anoxia) could lower the water column <sup>238</sup>U relative to standard <sup>238</sup>U-salinity relationships, such as <xref ref-type="bibr" rid="B48">Owens et&#xa0;al. (2011)</xref>. Saanich Inlet is a fjord with similar structural characteristics to Bedford Basin (230&#xa0;m water depth, salinity = 27 to 31), although it often has anoxic waters below its 80&#xa0;m restrictive sill and measurable hydrogen sulfide (~30 m of bottom water, <xref ref-type="bibr" rid="B64">Todd et&#xa0;al., 1988</xref>). Despite the more extreme conditions in this fjord, Saanich Inlet surface waters (10&#xa0;m) have measured <sup>238</sup>U within 1% of the activities predicted by the Owens et&#xa0;al. relationship, and the semi-oxygenate waters (&gt;10 &#xb5;M O<sub>2</sub>) near the sill depth (70-110&#xa0;m) only deviate ~7%, on average (<xref ref-type="bibr" rid="B41">Luo et&#xa0;al., 2014</xref>). Only in the anoxic waters below 160&#xa0;m were deviations near 20% found. Water column deviations this large are typically observed in basins with permanent or prolonged anoxia like Saanich Inlet or the Black Sea (<xref ref-type="bibr" rid="B3">Anderson et&#xa0;al., 1989</xref>). These intense, prolonged conditions have yet to be observed in Bedford Basin (<xref ref-type="bibr" rid="B57">Rakshit et&#xa0;al., 2023</xref>). In October 2018, bottom waters (60&#xa0;m) in Bedford Basin dropped to&lt;50 &#xb5;M O<sub>2</sub>, but waters were quickly ventilated and increased above 200 &#xb5;M O<sub>2</sub> in November. Oxygen concentrations at 60&#xa0;m in Bedford Basin remained above 100 &#xb5;M O<sub>2</sub> during the entire 2019 period of sampling. Results from the aforementioned studies suggests that using a standard <sup>238</sup>U-salinity relationship in Bedford Basin in 2019 is supported, albeit with a more conservative uncertainty estimate than the 3% typically propagated (<xref ref-type="bibr" rid="B48">Owens et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B68">Xie et&#xa0;al., 2020</xref>). Since <sup>238</sup>U has never been measured directly in Bedford Basin and the &#x2018;low O<sub>2</sub>&#x2019; waters of Saanich Inlet had a ~7% deviation from the Owens et&#xa0;al. relationship, an uncertainty of 10% is applied to the <sup>238</sup>U estimates used in Equation (4) for this study.</p>
</sec>
<sec id="s4_1_3">
<label>4.1.3</label>
<title>Lateral advection potential</title>
<p>The potential impact of lateral advection on the <sup>238</sup>U-<sup>234</sup>Th system could be significant in the upper 5-10&#xa0;m (<xref ref-type="bibr" rid="B60">Shan et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B59">Shan and Sheng, 2012</xref>) if a gradient in <sup>234</sup>Th existed in Bedford Basin. Surface currents at an average velocity of 0.17&#xa0;km d<sup>-1</sup> (<xref ref-type="bibr" rid="B60">Shan et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B21">Burt et&#xa0;al., 2013</xref>) can be applied in Equation (3) with a <sup>234</sup>Th gradient to estimate the potential impact of lateral movement on the water column <sup>234</sup>Th budget. An exact gradient cannot be determined because the <sup>234</sup>Th activities at the edges of the basin (~20 m deep) are unknown at this time. However, <sup>234</sup>Th results from three studies of similar northern, shallow, semi-enclosed basins (<xref ref-type="bibr" rid="B56">Radakovitch et&#xa0;al., 2003</xref>; <xref ref-type="bibr" rid="B29">Forster et&#xa0;al., 2009</xref>; <xref ref-type="bibr" rid="B28">Evangeliou et&#xa0;al., 2011</xref>), suggest that there would be no predictable, systematic difference between the 0-20&#xa0;m <sup>234</sup>Th activities at the Compass Station and those at the shallow edges of the basin (for further information see <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Text 1.2</bold>
</xref>, <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;2</bold>
</xref>, <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;1</bold>
</xref>). Furthermore, the estuarine flow pattern in the upper 20-25&#xa0;m in the basin (i.e. outflow to the ocean in the upper ~10 m and inflow from the ocean at ~10-20 m depth) works to even out any shallow, cross-basin gradients and produces well-mixed surface waters (<xref ref-type="bibr" rid="B60">Shan et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B21">Burt et&#xa0;al., 2013</xref>). Without straightforward evidence of depth-dependent patterns from other studies, no quantitative assumptions can be made here regarding which areas of the basin could potentially have more intense <sup>234</sup>Th scavenging.</p>
<p>While evidence from the other studies noted above do not indicate that a predictable and significant activity difference (e.g., 0.5 dpm L<sup>-1</sup>) between Bedford Basin&#x2019;s edges and the Compass Station would be present, an uncertainty associated with a hypothetical gradient is approximated here to assess how potential lateral advection along this gradient could influence the overall <sup>234</sup>Th budget and Equation (4). Based on prior work along riverine and estuarine gradients (e.g. <xref ref-type="bibr" rid="B62">Swarzenski and Baskaran, 2007</xref>) and the horizontal water exchange in the basin along a transect from the river through the narrows, a likely gradient in the basin could form from the Sackville River mouth to the Compass Station (~ 3&#xa0;km distance). If it is assumed that <sup>234</sup>Th activities at the mouth were 25% less (0.57 dpm L<sup>-1</sup>) than the average 0-20&#xa0;m activities at the Compass Station (0.76 dpm L<sup>-1</sup>), the resulting <sup>234</sup>Th flux contribution would be ~220 dpm m<sup>-2</sup> d<sup>-1</sup>. This flux is ~30% of the estimated <sup>234</sup>Th flux at 20&#xa0;m (725-854 dpm m<sup>-2</sup> d<sup>-1</sup>) and is less than 10% of the full water column flux of <sup>234</sup>Th calculated at 70&#xa0;m. Importantly, the final comparison between the water column <sup>234</sup>Th budget (~2300 dpm m<sup>-2</sup> d<sup>-1</sup>) and the sediment accumulation budget (average 2000 &#xb1; 1000 dpm m<sup>-2</sup> d<sup>-1</sup>, <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>) does not change significantly if 220 dpm m<sup>-2</sup> d<sup>-1</sup> is subtracted from the surface layer <sup>234</sup>Th flux. Thus, the impact of surface lateral advection on the water column flux is considered to either negligible or relatively small for the 2019 study period. To be conservative, however, the hypothetical uncertainty of &#xb1;220 dpm m<sup>-2</sup> d<sup>-1</sup> is propagated in the Equation (4) calculations (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>).</p>
</sec>
<sec id="s4_1_4">
<label>4.1.4</label>
<title>Horizontal mixing considerations</title>
<p>In the deep waters (&gt;20&#xa0;m) at the Compass Station, horizontal mixing (e.g., via eddy diffusion) could, in theory, influence <sup>234</sup>Th activities. If a persistent <sup>234</sup>Th activity gradient existed between the edges of the deep Bedford Basin and the waters at the Compass Station, horizontal mixing would act to even out the gradient on relatively short timescales. Assuming a typical eddy diffusivity coefficient (~1 m<sup>2</sup> s<sup>-1</sup>, <xref ref-type="bibr" rid="B60">Shan et&#xa0;al., 2011</xref>), a gradient over 1 to 2&#xa0;km (i.e. edges to center) would translate to a timescale for horizontal mixing of ~3 to 12 days. The rather short timescale of mixing (~half of timescale for <sup>234</sup>Th decay) suggests that any temporary dissolved gradients in the deep basin would homogenize quickly. Thus, a large, persistent sink at the edges would need to exist to sustain even a small gradient in <sup>234</sup>Th across the basin. In flux terms, a small gradient (e.g., 0.1 dpm L<sup>-1 234</sup>Th over 1000&#xa0;m) translates to 8600 dpm m<sup>-2</sup> d<sup>-1</sup>, which is ~4 times the estimated particulate flux of <sup>234</sup>Th at the Compass Station using Equation (4). Horizontal mixing in the basin could therefore be very consequential to the <sup>234</sup>Th budget in the basin, but significant mixing will only occur with a persistent sink at the basin edges.</p>
<p>There are two main possibilities for persistent deeper basin sinks (&gt;20&#xa0;m water depth). One possibility would be near-sediment interactions that remove <sup>234</sup>Th. If dissolved <sup>234</sup>Th could be impacted by interactions near the sediment water interface with sufficient porewater exchange, then more <sup>234</sup>Th scavenging could occur near the interface. However, consistent activities of <sup>238</sup>U, <sup>232</sup>Th, <sup>230</sup>Th, and <sup>234</sup>Th measured in box core pore waters and overlying waters from Buzzards Bay, Massachusetts (&lt;30&#xa0;m water depth, <xref ref-type="bibr" rid="B24">Cochran et&#xa0;al., 1986</xref>) do not support this scenario. The other possibility would be consistent scavenging by resuspended sediments at the basin edges (&gt;30&#xa0;m depth). The broad possibility of resuspension in the basin is considered independently in the next section. Evaluating the specific potential for resuspension to function as a persistent sink driving pronounced (i.e., 8600 dpm m<sup>-2</sup> d<sup>-1</sup>) horizontal mixing in the basin in 2019 is difficult without additional sampling. Resuspension at the basin edges would drive the movement of <sup>234</sup>Th away from the Compass Station, leading to an overestimation of the associated vertical <sup>234</sup>Th.</p>
<p>Data from other shallow coastal studies (<xref ref-type="bibr" rid="B56">Radakovitch et&#xa0;al., 2003</xref>; <xref ref-type="bibr" rid="B29">Forster et&#xa0;al., 2009</xref>; <xref ref-type="bibr" rid="B28">Evangeliou et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B41">Luo et&#xa0;al., 2014</xref>) do not provide a clear path for evaluating the possibility of a multi-season, persistent, systematic gradient between the basin edges and the Compass Station and thus, a quantitative assessment of this type of gradient is not attempted here (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Text 1.2</bold>
</xref>). These studies showed variability in <sup>234</sup>Th activities between depths, stations, and seasons, but no pattern was apparent. Thus, no uncertainty estimate is made here with respect to horizontal mixing&#x2019;s potential influence on <sup>234</sup>Th budgets at this time. Nevertheless, the possibility for resuspension-driven horizontal mixing influences is left open for future investigation.</p>
</sec>
<sec id="s4_1_5">
<label>4.1.5</label>
<title>Sediment resuspension evaluation</title>
<p>The resuspension of sediments up through the water column could impact the <sup>238</sup>U-<sup>234</sup>Th relationship at the Compass Station directly (i.e., resuspended sediments from below scavenge additional <sup>234</sup>Th from the water column) or indirectly, as described in the previous section on horizontal mixing (i.e., resuspension elsewhere in the basin that drives a mixing gradient). In shallow water regions like Bedford Basin, resuspension could be natural (i.e., caused by intrusion events) or anthropogenic (i.e., due to anchor drops and drags). Given that differences in light scatter have been observed in bottom waters in the basin previously (<xref ref-type="bibr" rid="B5">Azetsu-Scott and Johnson, 1994</xref>), resuspension likely occurs in Bedford Basin, but the frequency of resuspension events is unknown. Resuspension could occur only during annual deep water intrusion events (<xref ref-type="bibr" rid="B21">Burt et&#xa0;al., 2013</xref>) and this would perturb the water column <sup>238</sup>U-<sup>234</sup>Th balance over a few weeks or less. If sampling were performed a month later, there would no longer be a measurable signal of the resuspension in the water column <sup>234</sup>Th activities. Thus, for the purposes of this study, where no large water column physical events were observed prior to sampling (<xref ref-type="fig" rid="f2">
<bold>Figures&#xa0;2A, B</bold>
</xref>), only the potential for smaller resuspension episodes is assessed.</p>
<p>The possibility of small resuspension events in the weeks prior or during sampling events can first be evaluated by comparing POC:<sup>234</sup>Th ratios from sediments and water column samples. If the ratios for the small particles in the water column looked like those of the upper sediment layers, this could indicate recent resuspension in the basin. However, the small particle POC:<sup>234</sup>Th ratios are an order of magnitude less, on average, than the sedimentary POC:<sup>234</sup>Th ratios (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref>, <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;2</bold>
</xref>) and there is no systematic increase in POC:<sup>234</sup>Th ratios with water column depth (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>). If resuspension processes were less intense, but more frequent (i.e., only 2.5&#xa0;mm resuspended at a time each day or each week), this small amount of sediment would still create a noticeable signal of resuspension in the water column. This amount of sediment resuspended over 10&#xa0;m of the water column at the Compass Station in April 2019, would add 98 &#xb5;mol L<sup>-1</sup> of POC and 0.6 dpm L<sup>-1</sup> of <sup>234</sup>Th to each liter of bottom water. The small quantity of sediment would create POC concentrations in the water column an order of magnitude larger (up from 8 &#xb5;mol L<sup>-1</sup>) and the <sup>234</sup>Th activities would almost double (up from 0.77 dpm L<sup>-1</sup>). The &#x2018;new&#x2019; resuspended water column ratio would be 76 &#xb5;mol:dpm (up from 7 to 12 &#xb5;mol:dpm). The resuspension-induced changes, if present, would be obvious in the water column measurements at Compass Station, but they are not. While measurements from the basin edges were not taken in 2019 to evaluate any <sup>234</sup>Th gradients, it is difficult to imagine a scenario where processes resuspending sediment at the nearby basin edges would not also create a <sup>234</sup>Th or POC resuspension signal at the Compass Station.</p>
<p>A novel resuspension proxy, RA<sub>P234</sub>, provides additional evidence that does not support resuspension as a significant process at the time of the sampling events in 2019. As described in <xref ref-type="bibr" rid="B40">Lin et&#xa0;al. (2016)</xref>, RA<sub>P234</sub> behaves in an analogous manner to lithophile elements and higher RA<sub>P234</sub> is likely a result of resuspended sediment particles that are concentrated in supported <sup>234</sup>Th (by the presence of the longer-lived parent <sup>238</sup>U) and members of the <sup>212</sup>Bi-<sup>228</sup>Th decay chain. Thus, as seen over coastal shelves in the Arctic, increasing RA<sub>P234</sub> values towards the sea floor are a strong indicator of sediment resuspension (right top panel, <xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>). Conversely, the RA<sub>P234</sub> values from the Bedford Basin (left top panel, <xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>) show no distinct patterns with depth and each sampling date has a different pattern with respect to depth. Only two samples from the Bedford Basin had RA<sub>P234</sub> activities that were over the method limit and these two values were from surface and midwater depths on different dates. The occurrence of these higher RA<sub>P234</sub> values appears to be random.</p>
<p>Combining POC and RA<sub>P234</sub> values also provides a means for teasing apart the influence of purely biological processes and the impact of resuspension in the water column (bottom panel, <xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>). Photosynthesis and biological particle production will increase POC in the water column without any significant impact on particulate activities of longer-lived U-Th decay series isotopes (e.g., <sup>238</sup>U and <sup>232</sup>Th). The upper and lower water column particulate samples from Bedford Basin in August (blue points to the far right in the bottom panel, <xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>) are likely a direct reflection of only biological production because they contained negligible RA<sub>P234</sub> but relatively high POC. Resuspension processes, on the other hand, bring both POC and an RA<sub>P234</sub> signal. Resuspended sediment should create a characteristic slope in the particulate data that reflects the average POC of a basin&#x2019;s sediments and the sum of the activities of <sup>238</sup>U-<sup>234</sup>Th and <sup>232</sup>Th<sup>-228</sup>Th decay chain constituents. The sum of sedimentary U-Th decay chain activities have not been measured in the Bedford Basin, but significant resuspension should push RA<sub>P234</sub> activities closer to the Lin et&#xa0;al. best fit regression for the Arctic shelf (bottom panel, <xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>). There are only two Bedford Basin points that fall above the method limit and neither appears to group with the Arctic shelf data. Furthermore, authigenic uranium is likely precipitating in the anoxic sediments at the Compass Station (<xref ref-type="bibr" rid="B57">Rakshit et&#xa0;al., 2023</xref>) and this might elevate RA<sub>P234</sub> in resuspended sediments over what has been observed elsewhere (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>). Thus, significant and/or systematic resuspension at the Compass Station is ruled out for the duration of the 2019 sampling events and no uncertainty adjustments are made for resuspension possibilities at this time. However, recommendations for future sampling efforts are provided in Section 5, including the continued use of the RA<sub>P234</sub> proxy in Bedford Basin and elsewhere.</p>
</sec>
<sec id="s4_1_6">
<label>4.1.6</label>
<title>Vertical mixing potential</title>
<p>Physical studies of the Bedford Basin (e.g. <xref ref-type="bibr" rid="B21">Burt et&#xa0;al., 2013</xref>) generally have shown that 1-D assumptions are valid for much of the basin at most times of year. However, conditions in the basin can change quickly during times of deep-water ventilation and vertical mixing (<xref ref-type="bibr" rid="B57">Rakshit et&#xa0;al., 2023</xref>). An examination of the weekly Bedford Basin Monitoring Program data did not indicate any occurrences of rapid, basin-scale, events between March and August of 2019 (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>; <xref ref-type="bibr" rid="B57">Rakshit et&#xa0;al., 2023</xref>) and so vertical rates of mixing and/or ventilation are not quantitatively assessed for the 2019 sampling periods. However, an inspection of the weekly Bedford Basin Monitoring Program physical data for these rare events is recommended for any future studies.</p>
</sec>
</sec>
<sec id="s4_2">
<label>4.2</label>
<title>
<sup>234</sup>Th and particle dynamics</title>
<p>As with other coastal systems, particle dynamics highly influence the <sup>234</sup>Th distributions in the Bedford Basin. The substantial particulate fraction of <sup>234</sup>Th, relative to the total <sup>234</sup>Th activity measured, is typical (e.g. <xref ref-type="bibr" rid="B67">Wei and Murray, 1992</xref>; <xref ref-type="bibr" rid="B22">Charette et&#xa0;al., 2001</xref>). The particulate <sup>234</sup>Th in this study averages ~63% of the total activity for all depths and dates, and in a prior study of the basin it was ~74% for surface waters (<xref ref-type="bibr" rid="B45">Niven et&#xa0;al., 1995</xref>). Similarly, the scavenging (9 &#xb1; 8 days) and particulate (21 &#xb1; 9 days) residence times calculated here fit well within the ranges observed in other coastal locations (<xref ref-type="bibr" rid="B67">Wei and Murray, 1992</xref>; <xref ref-type="bibr" rid="B29">Forster et&#xa0;al., 2009</xref>).</p>
<p>The Compass Station has considerable particle removal rates, illustrated by the 2:1 activity ratio of <sup>238</sup>U to <sup>234</sup>Th from May to August 2019 (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3A</bold>
</xref>). The extent of <sup>234</sup>Th removal by particles can be seen in <xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7</bold>
</xref>, which combines August data from this study with <sup>234</sup>Th:<sup>238</sup>U data from September 1997 transect off the Scotian Shelf (<xref ref-type="bibr" rid="B22">Charette et&#xa0;al., 2001</xref>). Open ocean locations typically have an active surface layer with a <sup>234</sup>Th deficit and secular equilibrium throughout most of the remaining water column (far right, <xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7</bold>
</xref>), while the Compass Station does not reach equilibrium. The deficit is slightly larger in the euphotic zone (<xref ref-type="fig" rid="f2">
<bold>Figures&#xa0;2</bold>
</xref>, <xref ref-type="fig" rid="f3">
<bold>3A</bold>
</xref>) compared to the rest of the water column, but this study suggests that a <sup>234</sup>Th:<sup>238</sup>U ratio of &#x2264;0.6 is present at all depths for much of the year. In a prior weekly sampling study of the basin (0-5&#xa0;m surface only), <sup>234</sup>Th:<sup>238</sup>U ranged from 0.33 to 0.48 and total <sup>234</sup>Th from 0.67 dpm L<sup>-1</sup> (May 17) to 0.92 dpm L<sup>-1</sup> (March 24, <xref ref-type="bibr" rid="B45">Niven et&#xa0;al., 1995</xref>). Similarly, most surface <sup>234</sup>Th:<sup>238</sup>U ratios measured from February to April in 1998 fell between 0.3 and 0.7 (0-5&#xa0;m, <xref ref-type="bibr" rid="B6">Azetsu-Scott and Niven, 2005</xref>). The general agreement between this study&#x2019;s results (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3A</bold>
</xref>) and those from earlier studies (<xref ref-type="bibr" rid="B45">Niven et&#xa0;al., 1995</xref>; <xref ref-type="bibr" rid="B6">Azetsu-Scott and Niven, 2005</xref>), indicates that the particle dynamics in the surface of the basin have likely not been significantly changed by any natural or anthropogenic forcings over the last 30 years.</p>
<fig id="f7" position="float">
<label>Figure&#xa0;7</label>
<caption>
<p>Total <sup>234</sup>Th:<sup>238</sup>U activity ratios in seawater from Bedford Basin across the Scotian Shelf. Data from the Compass Station from this study (section distance = 0&#xa0;km, August 2019) is shown with data from September 1997 (left to right, stations 4 to 8, <xref ref-type="bibr" rid="B22">Charette et&#xa0;al., 2001</xref>).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-10-1254316-g007.tif"/>
</fig>
<p>A particle tracking and connectivity model from the basin indicates that there is little particle loss from Bedford Basin to the rest of Halifax Harbor during normal flow times (i.e. in the absence of severe storms or intrusions, <xref ref-type="bibr" rid="B59">Shan and Sheng, 2012</xref>). This suggests that water column particles created in the basin stay in the basin and that export and accumulation budgets, in theory, should balance over annual timescales. However, particles in the water column likely have a multi-stage history. The sensitivity analysis of the <sup>234</sup>Th budget assumptions (Section 4.1) suggests that complex particle dynamics and biogeochemical changes (e.g., shifts in community structure related to seasonality and bloom timing) must play a role in maintaining the observed <sup>234</sup>Th deficit at the Compass Station in the warmer months of 2019. Slowly settling particles in the deeper layers of the Bedford Basin might help explain some of the <sup>234</sup>Th deficits in the deeper water column. There is some evidence for slow settling in the Bedford Basin (<xref ref-type="bibr" rid="B5">Azetsu-Scott and Johnson, 1994</xref>). In March (peak of spring bloom) there were higher particle loads in the 0-8m surface mixed layer, while the rest of the water column had a smaller and uniform particle load. Then in mid-April to July, the presence of a benthic nepheloid layer was identified at a depth range of 45-65m using backscatter data. In late July-August the nepheloid layer was much thinner. While the cause or creation of the nepheloid layer is unknown, <xref ref-type="bibr" rid="B5">Azetsu-Scott and Johnson (1994)</xref> hypothesize that bloom material can travel rapidly (days) from the surface layer to depths below 50&#xa0;m in the basin and then reside there for weeks before completely settling and accumulation on the sea floor. Slow settling material would not chemically resemble the sediment layers below and would still be part of the &#x2018;fresh particle&#x2019; water column. However, these slow settling could scavenge additional dissolved <sup>234</sup>Th from the bottom 10-20m of the water column before they fully become part of the seafloor sediment layers. The potential presence of &#x2018;biogenic&#x2019; nepheloid layers and the possibility for true resuspension events (i.e., reentry of processed sediments into the water column) provide ample questions for future studies at the Compass Station and in other coastal regimes.</p>
<sec id="s4_2_1">
<label>4.2.1</label>
<title>
<sup>234</sup>Th activities on large particles</title>
<p>A puzzling result from this study is related to the large particles, which consistently have low <sup>234</sup>Th activities (dpm L<sup>-1</sup>) when compared to those from the open North Atlantic (<xref ref-type="bibr" rid="B49">Owens et&#xa0;al., 2015</xref>) and the Scotian Shelf (<xref ref-type="bibr" rid="B22">Charette et&#xa0;al., 2001</xref>). In contrast to the average large particle <sup>234</sup>Th activity measured in this study of 0.008 dpm L<sup>-1</sup>, the nearby Scotian Shelf had an average of 0.05 dpm L<sup>-1</sup> (n = 20, <xref ref-type="bibr" rid="B22">Charette et&#xa0;al., 2001</xref>). This is the most proximal location, although much of the Scotian Shelf sampling was done at depths &gt;150&#xa0;m with a variety of sampling methods. Thus, whether real or created by methodological biases, the cause of the low <sup>234</sup>Th activities on large particles here cannot be conclusively determined. Furthermore, few coastal studies have incorporated size-fractionated particulate sampling and many of these studies focused on the role of colloids (e.g. <xref ref-type="bibr" rid="B8">Baskaran et&#xa0;al., 2003</xref>). The apparent discrepancy in the large particle <sup>234</sup>Th datasets from this study and <xref ref-type="bibr" rid="B22">Charette et&#xa0;al.&#x2019;s (2001)</xref> work illustrates the need for more size fractionated particle coastal sampling, methodological comparisons (e.g., small volume bottles vs. large volume pumps) and an investigation of what particles are indeed sinking and being exported in coastal systems (see <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Text 1.3</bold>
</xref> for additional discussion).</p>
</sec>
</sec>
<sec id="s4_3">
<label>4.3</label>
<title>Balancing sediment and water column fluxes of <sup>234</sup>Th</title>
<p>The similarity in water column <sup>234</sup>Th fluxes between the sampling dates is striking (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6</bold>
</xref>). Despite seasonal changes in Chl-a (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2C</bold>
</xref>) and a greater partitioning of <sup>234</sup>Th onto small particles in April and August, total <sup>234</sup>Th does not vary substantially between the sampling periods (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3A</bold>
</xref>). The few studies of coastal regions where full profiles of total <sup>234</sup>Th were collected also showed a linear increase in <sup>234</sup>Th flux with depth. This study produced per meter fluxes of 31 dpm m<sup>-2</sup> d<sup>-1 234</sup>Th (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6</bold>
</xref>), while those from Dabob Bay ranged from 33-43 dpm m<sup>-2</sup> d<sup>-1</sup> (Washington, USA, <xref ref-type="bibr" rid="B67">Wei and Murray, 1992</xref>), those from the Beaufort Sea Shelf in the Arctic ranged from 23-29 dpm m<sup>-2</sup> d<sup>-1</sup> (<xref ref-type="bibr" rid="B8">Baskaran et&#xa0;al., 2003</xref>), and those from Mecklenburg Bay were 28 dpm m<sup>-2</sup> d<sup>-1</sup> (southwestern Baltic Sea, <xref ref-type="bibr" rid="B29">Forster et&#xa0;al., 2009</xref>). This uniformity in fluxes is intriguing. It was not seen throughout the open and deeper regions (water depths &gt;300&#xa0;m) of the Gulf of Maine and the Scotian Shelf (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7</bold>
</xref>), nor was it observed on the Bering Sea Shelf (<xref ref-type="bibr" rid="B9">Baumann et&#xa0;al., 2013</xref>). These less-restricted coastal regions are likely impacted by bathymetric changes (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7</bold>
</xref>), more intense currents, and other physical factors, such as advection. Indeed, <xref ref-type="bibr" rid="B22">Charette et&#xa0;al. (2001)</xref> employed a 3-D model of the Scotian Shelf to evaluate local <sup>234</sup>Th fluxes.</p>
<p>The March-August sediment accumulation fluxes for <sup>234</sup>Th vary more than the water column fluxes (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6</bold>
</xref>). Although the two multicores collected simultaneously in August showed little difference (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>), in general, sediment-based radioisotope estimates inherently have larger uncertainties (e.g. <xref ref-type="bibr" rid="B15">Black and Buesseler, 2014</xref>) due to potential variations in grain size distribution, sediment composition (i.e. mineral type), and local processes (e.g. bioturbation). <sup>210</sup>Pb profiles of all cores provide evidence of bioturbation in the top 10&#xa0;cm of the sediment column (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;3</bold>
</xref>). A small part of the differences in <sup>234</sup>Th accumulation flux between sampling dates could be due to factors that influence spatial variability, however, the trends from February to August cannot likely be explained by these factors alone. The sediment accumulation flux of <sup>234</sup>Th in February is distinctly lower than in April, which could be explained by the onset of the spring bloom in March and April following a period of winter quiescence in phytoplankton activity. Other studies suggest that seasonal swings in sediment accumulation fluxes are possible, if not typical. Sediment fluxes in the Long Island Sound, a larger, but restricted basin averaging ~20 m water depth, have been shown to range from as little as 227 dpm m<sup>-2</sup> d<sup>-1</sup> and to as much as 4953 dpm m<sup>-2</sup> d<sup>-1</sup> across the basin (<xref ref-type="bibr" rid="B1">Aller et&#xa0;al., 1980</xref>; <xref ref-type="bibr" rid="B2">Aller and Cochran, 2019</xref>). At a single station sampled between May and August of the same year, the sediment fluxes varied by &gt;3000 dpm m<sup>-2</sup> d<sup>-1</sup> (<xref ref-type="bibr" rid="B2">Aller and Cochran, 2019</xref>).</p>
<p>Despite the greater variability observed in sediment data, the average sediment accumulation of <sup>234</sup>Th of 2000 dpm m<sup>-2</sup> d<sup>-1</sup> (s.d. &#xb1; 1000) is roughly equal to the measured water column average and the extrapolated water column average (2300 dpm m<sup>-2</sup> d<sup>-1</sup> at 70&#xa0;m, <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>) within the associated uncertainties. Similarly, good agreement was found between predicted water column <sup>234</sup>Th fluxes and results from sediment measurements on the Scotian Shelf for locations with depths of 100&#xa0;m to 300&#xa0;m (<xref ref-type="bibr" rid="B22">Charette et&#xa0;al., 2001</xref>). However, station to station variation along the Scotian Shelf showed water column fluxes ranging from 1500 to 10000 dpm m<sup>-2</sup> d<sup>-1</sup>. Thus, the more open shelf locations had significantly more variability in water column fluxes than was observed in the more restricted Bedford Basin. In the sediments of Bedford Basin, the larger range in accumulation estimates over the short-term (<sup>234</sup>Th-based) versus the more stable long-term estimates (<sup>210</sup>Pb, <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;3</bold>
</xref>) indicates that seasonal studies of coastal regions would benefit from including multiple sets of replicates (spatial variability) and increased frequency of sampling efforts, including winter sampling (temporal variability). <sup>234</sup>Th budgets may agree over annual timescales, as it appears they do in Bedford Basin in this study, but the stability of the water column <sup>234</sup>Th activities juxtaposed with the fluctuations in the sediment <sup>234</sup>Th inventories indicates that more can be learned about the seasonal controls on <sup>234</sup>Th activities in the basin.</p>
</sec>
<sec id="s4_4">
<label>4.4</label>
<title>POC:<sup>234</sup>Th ratios strongly influence coastal carbon flux estimates</title>
<p>Since the averages of water column- and sediment-based <sup>234</sup>Th fluxes overlap, the major source of variability in carbon flux estimates is related to the POC:<sup>234</sup>Th ratios (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). Indeed, assessing POC:<sup>234</sup>Th ratios is an ongoing field of inquiry (e.g. <xref ref-type="bibr" rid="B19">Buesseler et&#xa0;al., 2006</xref>; <xref ref-type="bibr" rid="B55">Puigcorb&#xe9; et&#xa0;al., 2020</xref>). In open ocean studies, the large particle ratio is most often utilized as representing sinking material. However, the POC:<sup>234</sup>Th ratio on large particles observed in this study for May (&gt;900 &#xb5;mol:dpm) would translate into an unreasonably high carbon flux of ~2100 mmol C m<sup>-2</sup> d<sup>-1</sup> at the Compass Station (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). This POC flux estimate is more than an order of magnitude higher than models predict for coastal regimes globally (<xref ref-type="bibr" rid="B61">Siegel et&#xa0;al., 2014</xref>) and is unreasonable considering that all prior coastal export studies utilizing similar methods found fluxes less than 200 mmol C m<sup>-2</sup> d<sup>-1</sup>. POC:<sup>234</sup>Th ratios ranging from 2 to 534 &#xb5;mol:dpm have been observed previously on the Scotian Shelf and in the Gulf of Maine and, therefore some of the ratios &gt;100 &#xb5;mol:dpm in Bedford Basin could be attributed to natural, seasonal variability (<xref ref-type="bibr" rid="B11">Benitez-Nelson et&#xa0;al., 2000</xref>; <xref ref-type="bibr" rid="B22">Charette et&#xa0;al., 2001</xref>). Nevertheless, the &gt;100 &#xb5;mol:dpm ratios found in other studies were generally rare occurrences (<xref ref-type="bibr" rid="B19">Buesseler et&#xa0;al., 2006</xref>; <xref ref-type="bibr" rid="B55">Puigcorb&#xe9; et&#xa0;al., 2020</xref>), whereas the high POC:<sup>234</sup>Th ratios measured on large particles were frequent in this study (for further discussion see <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Text 1.3</bold>
</xref>).</p>
<p>The remaining assessment of the basin&#x2019;s carbon budget in the next sections focuses on the small particle ratio-based estimates only. The small particle ratios are emphasized for five reasons. First, the uniquely low large particle <sup>234</sup>Th activities require corroboration with a multi-method sampling effort before export values well above 100 mmol C m<sup>-2</sup> d<sup>-1</sup> should be considered. Second, most other coastal <sup>234</sup>Th-based studies employed total particulate ratios to calculate export, which are governed by small particles. Third, recent work has suggested that for some open ocean locations (e.g. North Atlantic at BATS, <xref ref-type="bibr" rid="B27">Durkin et&#xa0;al., 2015</xref>), coast-proximal regions (e.g. <xref ref-type="bibr" rid="B54">Puigcorb&#xe9; et&#xa0;al., 2015</xref>) and shallow seas (<xref ref-type="bibr" rid="B34">Hung and Gong, 2010</xref>), small particles are important to the overall local flux of carbon. Fourth, large particle (&gt;51 um) POC:<sup>234</sup>Th ratios from the nearby Gulf of Maine (March &#x2013; Sept 1995, <xref ref-type="bibr" rid="B22">Charette et&#xa0;al., 2001</xref>) averaged (&#xb1; s.d.) 49 &#xb1; 68 &#xb5;mol:dpm, which is similar to the average found in Bedford Basin for small particles (32 &#xb1; 39 &#xb5;mol:dpm). Fifth, using a simple Stokes ideal sphere approximation (particle density = 2&#xa0;g cm<sup>-3</sup>), a &#x2018;suspended&#x2019; 10 &#xb5;m particle can pass through the entire 70&#xa0;m water column at the Compass Station in ~4 days. More complex particle geometries and lower densities could potentially cause the suspended matter to move downward more slowly, however, with a 24-day half-life for <sup>234</sup>Th, the suspended particles likely play a key role in the total export of carbon to the sediments.</p>
</sec>
<sec id="s4_5">
<label>4.5</label>
<title>A spring-summer carbon budget for Bedford Basin</title>
<p>Model-based NPP estimates from Beford Basin show a high degree of seasonal variability, ranging from 0.4 to 184 mmol C m<sup>-2</sup> d<sup>-1</sup> (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). The yearly average NPP from these estimates, which utilize 2019 <italic>in-situ</italic> Chl-a data, is 66 mmol C m<sup>-2</sup> d<sup>-1</sup> (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). This modeled yearly average matches well with the mean from prior incubation studies in the basin (50 mmol C m<sup>-2</sup> d<sup>-1</sup>, <xref ref-type="bibr" rid="B53">Platt, 1975</xref>). The modeled NPP estimates also overlap with those reported for the Scotian Shelf and Gulf of Maine at 26-399 mmol C m<sup>-2</sup> d<sup>-1</sup> (August-September 1997, <xref ref-type="bibr" rid="B22">Charette et&#xa0;al., 2001</xref>). Broadly speaking, NPP in Bedford Basin is in the 100s of mmol C m<sup>-2</sup> d<sup>-1</sup> at peak times, often in spring, and in the 10s of mmol C m<sup>-2</sup> d<sup>-1</sup> otherwise. As with the export estimates, those for NPP illustrate the importance of multiple sample efforts in these types of dynamic coastal systems. NPP is the main source of carbon driving export and sedimentary accumulation of carbon in Bedford Basin and production will incorporate new fixed carbon from atmospheric CO<sub>2</sub> and recycled carbon as discussed below. Other potential sources of dissolved carbon and POC to the basin, like the discharge from the Sackville River, have been previously constrained (<xref ref-type="bibr" rid="B33">Hargrave and Taguchi, 1978</xref>). Daily riverine inputs of POC of ~3 mmol C m<sup>-2</sup> d<sup>-1</sup> are small with respect to NPP and export estimates and it can be assumed that most of the POC created within the basin remains in the basin due to the shallow, restrictive sill at its south end (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>; <xref ref-type="bibr" rid="B59">Shan and Sheng, 2012</xref>).</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Sources, sinks, and carbon cycling in Bedford Basin.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="center">Flux (mmol C m<sup>-2</sup> d<sup>-1</sup>)</th>
<th valign="top" align="center">Low</th>
<th valign="top" align="center">High</th>
<th valign="top" align="center">Average</th>
<th valign="top" align="center">Method</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="top" colspan="5" align="left">Basin Inputs</th>
</tr>
<tr>
<td valign="top" align="left">River discharge of DOC<sup>a</sup>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">23</td>
<td valign="top" align="center">Bottle sampling</td>
</tr>
<tr>
<td valign="top" align="left">River discharge of POC<sup>a</sup>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">3</td>
<td valign="top" align="center">Bottle sampling</td>
</tr>
<tr>
<th valign="top" colspan="5" align="left">Production</th>
</tr>
<tr>
<td valign="top" align="left">Photosynthetic production of POC<sup>b</sup>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">46</td>
<td valign="top" align="center">Incubations</td>
</tr>
<tr>
<td valign="top" align="left">Chemosynthetic production of POC<sup>b</sup>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">9</td>
<td valign="top" align="center">Incubations</td>
</tr>
<tr>
<td valign="top" align="left">Annual production by phytoplankton<sup>c</sup>
</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">83</td>
<td valign="top" align="center">50</td>
<td valign="top" align="center">Incubations</td>
</tr>
<tr>
<td valign="top" align="left">Net primary production<break/>(Scotian Shelf-Gulf of Maine)<sup>d</sup>
</td>
<td valign="top" align="center">26</td>
<td valign="top" align="center">399</td>
<td valign="top" align="center">140</td>
<td valign="top" align="center">Incubations</td>
</tr>
<tr>
<td valign="top" align="left">Modelled net primary production<sup>e</sup>
</td>
<td valign="top" align="center">0.4</td>
<td valign="top" align="center">184</td>
<td valign="top" align="center">66</td>
<td valign="top" align="center">PAR, Chl-a</td>
</tr>
<tr>
<th valign="top" colspan="5" align="left">Water Column Outputs</th>
</tr>
<tr>
<td valign="top" align="left">Particulate export (vertical) at 20 m<sup>a</sup>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">13</td>
<td valign="top" align="center">Cylindrical Traps</td>
</tr>
<tr>
<td valign="top" align="left">Particulate export (vertical) at 60 m<sup>a</sup>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">17</td>
<td valign="top" align="center">Cylindrical Traps</td>
</tr>
<tr>
<td valign="top" align="left">POC export (small particle C:<sup>234</sup>Th)</td>
<td valign="top" align="center">20</td>
<td valign="top" align="center">150</td>
<td valign="top" align="center">70</td>
<td valign="top" align="center">
<sup>234</sup>Th-<sup>238</sup>U</td>
</tr>
<tr>
<td valign="top" align="left">POC export (Gulf of Maine at 50&#xa0;m)<sup>d</sup>
</td>
<td valign="top" align="center">&lt;10</td>
<td valign="top" align="center">~120</td>
<td valign="top" align="center">34</td>
<td valign="top" align="center">
<sup>234</sup>Th-<sup>238</sup>U</td>
</tr>
<tr>
<td valign="top" align="left">Modelled export<sup>e</sup> (benthic flux)</td>
<td valign="top" align="center">0.8</td>
<td valign="top" align="center">61</td>
<td valign="top" align="center">19</td>
<td valign="top" align="center">&#xb0;C, Chl-a</td>
</tr>
<tr>
<th valign="top" colspan="5" align="left">Sediment Inputs &amp; Outputs</th>
</tr>
<tr>
<td valign="top" align="left">Sediment accumulation flux of POC<break/>(small particle POC:<sup>234</sup>Th)</td>
<td valign="top" align="center">20</td>
<td valign="top" align="center">130</td>
<td valign="top" align="center">60</td>
<td valign="top" align="center">Multi-coring, CHN of seawater &amp; sediment</td>
</tr>
<tr>
<td valign="top" align="left">Carbon preservation in sediments<break/>(i.e., burial rate<sup>f</sup>)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">6</td>
<td valign="top" align="center">Multi-coring, CHN of sediment</td>
</tr>
<tr>
<td valign="top" align="left">Carbon preservation in sediments<break/>(Scotian Shelf-Gulf of Maine)<sup>d</sup>
</td>
<td valign="top" align="center">0.6</td>
<td valign="top" align="center">2.3</td>
<td valign="top" align="center">1.6</td>
<td valign="top" align="center">Box-coring, CHN of sediment, <sup>210</sup>Pb-<sup>14</sup>C</td>
</tr>
<tr>
<td valign="top" align="left">DIC loss from sediments<sup>g</sup>
</td>
<td valign="top" align="center">36</td>
<td valign="top" align="center">56</td>
<td valign="top" align="center"/>
<td valign="top" align="center">Radium Isotopes</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Data are from this study unless noted. <sup>a</sup>No preservatives were used and sediment trap data did not have an efficiency correction (<xref ref-type="bibr" rid="B33">Hargrave and Taguchi, 1978</xref>); <sup>b</sup>(<xref ref-type="bibr" rid="B63">Taguchi and Platt, 1977</xref>); <sup>c</sup>(<xref ref-type="bibr" rid="B53">Platt, 1975</xref>); <sup>d</sup>Data from the nearby Scotian Shelf and Gulf of Maine (<xref ref-type="bibr" rid="B22">Charette et&#xa0;al., 2001</xref>); <sup>e</sup>Calculations for modeled NPP and carbon export (i.e. benthic carbon flux) are detailed in <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Text 1.1</bold>
</xref>; <sup>f</sup>Estimated burial rate uses a sedimentation rate of 0.2&#xa0;cm yr<sup>-1</sup> (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;3</bold>
</xref>; <xref ref-type="bibr" rid="B17">Buckley et&#xa0;al., 1995</xref>), the average dry bulk density for this study at ~275 kg m<sup>-3</sup>, and the average percent carbon found in the upper 5&#xa0;cm of sediments of 4.5%; <sup>g</sup>(<xref ref-type="bibr" rid="B21">Burt et&#xa0;al., 2013</xref>).</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>POC export fluxes for the entire water column, derived here from the small particle POC:<sup>234</sup>Th ratio and <sup>234</sup>Th fluxes (hereafter referred to as POC export), ranged from ~25 mmol C m<sup>-2</sup> d<sup>-1</sup> in April and May 2019 to a high of 150 mmol C m<sup>-2</sup> d<sup>-1</sup> in August 2019 (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). The mean export estimate for April to August of 70 mmol C m<sup>-2</sup> d<sup>-1</sup> (s.d. = 70, <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>) compares favorably with historical observations from the basin and estimates from nearby coastal shelf locations. Prior estimates of export in Bedford Basin were measured using bottom tethered sediment traps and no preservatives, which can result in lower flux estimates due to particle remineralization and/or feeding by swimmers (<xref ref-type="bibr" rid="B32">Hargrave and Taguchi, 1976</xref>). Despite the differing methods, the average export reported in 1976 (17 mmol C m<sup>-2</sup> d<sup>-1</sup> at 60&#xa0;m) is only slightly lower than the spring export estimates from this study (~25 mmol C m<sup>-2</sup> d<sup>-1</sup>, <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). Full water column POC export from this 2019 study at ~70 m depth also fall in the range for those observed on the Scotian Shelf and in the Gulf of Maine at 50&#xa0;m water depth (average = 34 &#xb1; 44 mmol C m<sup>-2</sup> d<sup>-1</sup>, <xref ref-type="bibr" rid="B22">Charette et&#xa0;al., 2001</xref>) (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>).</p>
<p>As with the <sup>234</sup>Th-based export estimates (and the model-based NPP results), large seasonal variations in export were observed in both <xref ref-type="bibr" rid="B32">Hargrave and Taguchi (1976)</xref> and <xref ref-type="bibr" rid="B22">Charette et&#xa0;al. (2001)</xref>. <xref ref-type="bibr" rid="B32">Hargrave and Taguchi (1976)</xref> found six-fold seasonal swings from a maximum of 36 mmol C m<sup>-2</sup> d<sup>-1</sup> (April) to 2 mmol C m<sup>-2</sup> d<sup>-1</sup> (July). The Gulf of Maine had a peak spring bloom of ~120 mmol C m<sup>-2</sup> d<sup>-1</sup> and dramatically smaller summer-fall fluxes at&lt;10 mmol C m<sup>-2</sup> d<sup>-1</sup>. The 2019 Bedford Basin export fluxes showed the opposite trend in 2019, with higher fluxes in August (<xref ref-type="table" rid="T1">
<bold>Tables&#xa0;1</bold>
</xref>, <xref ref-type="table" rid="T2">
<bold>2</bold>
</xref>). One explanation for the differing seasonal trends is that 2019 was an uncharacteristic year in Bedford Basin, having a more prolonged spring bloom without a definitive peak (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2D</bold>
</xref>). Another reason for the differences could be the use of the large particle ratios in the <xref ref-type="bibr" rid="B22">Charette et&#xa0;al. (2001)</xref> study to determine export, which might reflect the prevalence of different communities and particle-formers at different times of year. While the export estimates from all three studies are overall comparable, the collective variability shows the importance of repeated sampling in coastal regions when attempting to decrease uncertainties on coastal carbon budget estimates. Furthermore, the broad similarity in average carbon export estimates from each study is curious considering that each method likely captures different particle types: Bedford Basin traps should collect truly sinking particles over the period of sampling (with noted the remineralization and swimmer caveats), the Gulf of Maine study used &gt;51 &#xb5;m large particles to find carbon flux, and this 2019 Bedford Basin study utilized 1-51 &#xb5;m small particles to find carbon flux. Additional carbon flux studies utilizing size fractionated sampling methods could provide valuable insight into the potential biological and chemical similarities between large and small particles in coastal zones and the relative importance of small particles in export estimates.</p>
<p>Comparing the daily model-based and <sup>234</sup>Th-derived estimates, the benthic carbon flux estimates from modeled NPP (0.8 to 61 mmol C m<sup>-2</sup> d<sup>-1</sup>) appear to be lower, on average, than the <sup>234</sup>Th-based carbon export estimates from Bedford Basin (20 to 150 mmol C m<sup>-2</sup> d<sup>-1</sup>), and from the Gulf of Maine (&lt;10 to ~120 mmol C m<sup>-2</sup>, <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). One reason for the difference in the three sets of results are that the model-based estimates incorporate Chl-a data from the entire year, including winter months, and so the lowest export times have yet to be quantified via <sup>234</sup>Th measurements. The model-based estimates suggest that export is typically in the 10s of mmol C m<sup>-2</sup> d<sup>-1,</sup>throughout the spring, summer, and fall, with higher export during the spring bloom. <sup>234</sup>Th-based export estimates from Bedford Basin in August (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>) were much higher than modeled benthic carbon flux at that time (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>), but as noted earlier, export events of the same magnitude (&gt;100 mmol C m<sup>-2</sup> d<sup>-1</sup>) were also observed in <xref ref-type="bibr" rid="B22">Charette et&#xa0;al. (2001)</xref>.</p>
<p>To calculate and compare annual estimates, it is assumed that the <sup>234</sup>Th-derived Compass Station estimates are representative of the carbon flux during the most productive months in the basin (i.e., 9 months from March to November) and that relatively little flux occurs in the remaining winter months. This is supported by the model-based NPP and export trends. The average <sup>234</sup>Th-based export of 70 mmol C m<sup>-2</sup> d<sup>-1</sup> for a 9-month period translates to an annual carbon flux estimate of ~19 mol C m<sup>-2</sup> yr<sup>-1</sup>. The modeled daily benthic flux of 19 mmol C m<sup>-2</sup> d<sup>-1</sup> equates to an annual export of ~7 mol C m<sup>-2</sup> yr<sup>-1</sup> (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>), which agrees within a factor of two to three with the <sup>234</sup>Th -based estimates. If only the April and May measurement-based export estimates are extrapolated over the 9-months (at 20-25 mmol C m<sup>-2</sup> d<sup>-1</sup>), the <sup>234</sup>Th-based annual estimate is the same as the modeled estimate at ~7 mol C m<sup>-2</sup> yr<sup>-1</sup>. Considering the overall variability in the three measurement-based carbon fluxes and model assumptions, the general agreement between the two methods observed here is very encouraging.</p>
<p>Like the water column and sedimentary <sup>234</sup>Th budgets (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6</bold>
</xref>, <xref ref-type="table" rid="T1">
<bold>Tables&#xa0;1</bold>
</xref>, <xref ref-type="table" rid="T2">
<bold>2</bold>
</xref>), the carbon export flux and the sediment accumulation flux of carbon also appear to be quasi-balanced if multi-timescale methods are utilized to create a sediment burial budget for the Compass Station. The sedimentary carbon content from this study (average weight % = 4.5%, upper 5&#xa0;cm) and estimates of the sedimentation rate (0.2&#xa0;cm yr<sup>-1</sup> from this study via <sup>210</sup>Pb, <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;3</bold>
</xref>; <xref ref-type="bibr" rid="B17">Buckley et&#xa0;al., 1995</xref>) can be used to determine an apparent burial rate of organic carbon of 6 mmol C m<sup>-2</sup> d<sup>-1</sup> (dry bulk density ~275 kg m<sup>-3</sup>, <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). The average <sup>234</sup>Th-based sediment accumulation flux is 60 mmol C m<sup>-2</sup> d<sup>-1</sup> (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>), suggesting that ~10% of exported carbon is buried. Consistent with these estimates, the amount of dissolved inorganic carbon lost from the sediments as a result of carbon respiration (36 to 56 mmol C m<sup>-2</sup> d<sup>-1</sup>, <xref ref-type="bibr" rid="B21">Burt et&#xa0;al., 2013</xref>), implies that up to ~90% of the carbon export reaching the seafloor is re-released into the water column as dissolved inorganic carbon prior to burial. Caution should be used when comparing results derived from varying methodologies, however, as shown here, the broad patterns in the Bedford Basin emerge when multiple metrics for the same process are used (e.g., sediment rate) and repeated sampling is performed. The paired organic carbon export from the water column and its burial in sediments (this study) and the prior measures of inorganic carbon loss from the sediments via respiration (<xref ref-type="bibr" rid="B21">Burt et&#xa0;al., 2013</xref>) combine to close the internal, annual carbon cycling budget of Bedford Basin quite well (<xref ref-type="table" rid="T1">
<bold>Tables&#xa0;1</bold>
</xref>, <xref ref-type="table" rid="T2">
<bold>2</bold>
</xref>).</p>
</sec>
</sec>
<sec id="s5">
<label>5</label>
<title>Recommendations and future work</title>
<p>The average water column and sediment accumulation fluxes of <sup>234</sup>Th are in relative balance at the Compass Station (~2000 to 2300 dpm m<sup>-2</sup> d<sup>-1</sup>) averaged over the spring-summer months. This makes Bedford Basin a promising location for more complex and observation-model paired studies of particle dynamics, the impact of community changes on biogeochemical cycles, and methodological development for coastal studies. The water column <sup>234</sup>Th flux profiles are surprisingly constant, while the sediment fluxes appear to vary seasonally. This calls into question whether the sediment trends largely reflect seasonal water column events or if natural spatial variability (i.e., local differences in deposition, mineralogy, etc.) plays a more significant role. These data illustrate the importance of future multi-season radioisotope studies, and caution against the over-interpretation of single-event datasets in coastal zones. Furthermore, the results indicate the vital need for winter sampling and replicate coring efforts to assess temporal and spatial variability. Aside from a few time points for Saanich Inlet, British Columbia (<xref ref-type="bibr" rid="B41">Luo et&#xa0;al., 2014</xref>), there is a complete lack of winter sediment data for higher-latitude coastal regimes. Much could be learned about the Bedford Basin system and coastal carbon cycling in general by including wintertime observations, especially if winter is a radioisotope &#x2018;reset&#x2019; period during which water column <sup>234</sup>Th activities peak as Chl-a concentrations drop (<xref ref-type="fig" rid="f2">
<bold>Figures&#xa0;2C, D</bold>
</xref>).</p>
<p>As has been suggested by the data and discussion here, the contribution of small particles to coastal carbon fluxes is likely important and requires further investigation, especially with respect to seasonal changes in POC:<sup>234</sup>Th ratios. The carbon estimates compiled in this study show an approximately balanced carbon budget, where <sup>234</sup>Th-based export estimates (20-150 mmol C m<sup>-2</sup> d<sup>-1</sup>) are on par with those found in the nearby Gulf of Maine (&lt;10-120 mmol C m<sup>-2</sup> d<sup>-1</sup>, <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). The budget comparisons here are possible, in part, because the full water column was sampled at high resolution (i.e., 10-15m intervals), multiple sampling events have been considered, and various methods have been compared (i.e., modeled vs. sample-derived, large and small particles). This study has clearly illustrated the importance of multi-method process studies to understand the factors influencing coastal carbon budgets, including size-fractionated particle sampling, dual water column- and sediment-based flux quantification, and full water column measurements. Future coastal studies could pair size-fractionated sampling for <sup>234</sup>Th with pigment, transmissometry, and/or imaging analyses to attempt to tease apart the complex particle dynamics influencing the pronounced, full water column deficits that are found in Bedford Basin and other coastal regimes. Both this study and <xref ref-type="bibr" rid="B22">Charette et&#xa0;al. (2001)</xref> showcase the highly variable seasonality of coastal carbon export and highlight the necessity of connecting the biogeochemical drivers with observed changes in thorium and carbon cycling in coastal basins. Without quantitative connections, we may never be fully able to close coastal carbon budgets, especially across more active coastal shelves.</p>
<p>To provide a more complete characterization of the entire basin&#x2019;s dynamics and to investigate the impact of any potential transitory or unknown physical factors influencing the <sup>234</sup>Th and carbon budgets at the Compass Station, future work could incorporate surface <sup>234</sup>Th sampling near the Sackville River mouth and at the shallower basin edges. Additional sampling in these areas would aid the assessment of any potential resuspension impacts on the <sup>234</sup>Th system, as well as inform about potential cross-basin <sup>234</sup>Th gradients. When feasible, repeated sampling (every ~1-4 weeks) would help to assess the importance, if any, of non-steady state conditions. Because horizontal mixing could act over relatively short timescales (days to weeks) and contribute to apparent fluxes in smaller basins, sampling along transects (i.e., basin edges to center) in small basins like this one is recommended. Furthermore, the use of novel radioisotope-based proxies like RA<sub>P234</sub> will aid in evaluating episodic processes, like resuspension, which could be initiated by physical events and that have the potential to impact carbon budget estimations. The potential for occasional resuspension events makes the Bedford Basin an excellent location for testing coastal resuspension proxies and future studies could follow a similar sampling strategy to that of <xref ref-type="bibr" rid="B43">Muir et&#xa0;al. (2005)</xref>. These events no doubt have an impact on more open coastal regions like the Gulf of Maine, but resuspension is often noted and rarely able to be quantified (e.g. <xref ref-type="bibr" rid="B22">Charette et&#xa0;al., 2001</xref>).</p>
<p>In this study and others applying the <sup>238</sup>U-<sup>234</sup>Th method in coastal settings, carbon cycling is typically the focus. However, this technique can also be applied to determine nitrogen and phosphorus budgets, which could aid in studies of how changes in nutrient budgets impact coastal hypoxia. Because Bedford Basin has a well-mixed surface and stable deep layer and displays classical Sverdrup spring bloom dynamics reminiscent of the North Atlantic, the carbon remineralization in the isolated deep waters results in the depletion of oxygen. Thus, the basin is an ideal location for understanding the development of hypoxia. Future methodological, modeling, and process-based studies can be performed in tandem to advance our understanding of how the constituents of coastal waters are impacted by particle dynamics and what role coastal zones play in the global cycling of elements and the biological carbon pump.</p>
</sec>
<sec id="s6" 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: Bedford Basin 2019 &#x2013; Seawater: <ext-link ext-link-type="uri" xlink:href="https://www.bco-dmo.org/dataset/889642">https://www.bco-dmo.org/dataset/889642</ext-link> Black, E. E., Kienast, S. S. (2023) Seawater radioisotope (234Th) and carbon from sampling conducted at the Compass Station in Bedford Basin, Nova Scotia, Canada from April to August 2019. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2023-02-09. doi:10.26008/1912/bco-dmo.889642.1 Bedford Basin 2019 &#x2013; Sediments: <ext-link ext-link-type="uri" xlink:href="https://www.bco-dmo.org/dataset/889551">https://www.bco-dmo.org/dataset/889551</ext-link> Black, E. E., Kienast, S. S. (2023) Carbon content and radioisotope data from sampling conducted at the Compass Station in Bedford Basin, Nova Scotia, Canada from February to August 2019. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2023-02-07. doi:10.26008/1912/bco-dmo.889551.1.</p>
</sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>EB: Conceptualization, Formal Analysis, Funding acquisition, Investigation, Methodology, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. CA: Conceptualization, Investigation, Methodology, Resources, Visualization, Writing &#x2013; review &amp; editing. MA: Investigation, Visualization, Writing &#x2013; review &amp; editing. SK: Conceptualization, Funding acquisition, Investigation, Methodology, Project administration, Resources, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing.</p>
</sec>
</body>
<back>
<sec id="s8" sec-type="funding-information">
<title>Funding</title>
<p>We gratefully acknowledge funding by the Ocean Frontier Institute, Research Nova Scotia, and NSERC.</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>We thank the crew of the SigmaT, Laura deGelleke, Anna Haverstock, Riley Karker, Sarah Burko, Charity Justrabo, Katie Frame, Emilie Burris, and Subhadeep Rakshit. Analytical assistance was provided by Erin Keltie and Jong Sung Kim (ICPMS, Dalhousie HERC), Joshua Landis and Carl Renshaw (Dartmouth), Claire Normandeau (Dalhousie CERC.OCEAN), and the Buesseler Lab (WHOI). A special thanks to Jessica Drysdale and Gretchen Swarr for their guidance on ICPMS methodology adaptations.</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.2023.1254316/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fmars.2023.1254316/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="DataSheet_1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
</sec>
<fn-group>
<title>Abbreviations</title>
<fn fn-type="abbr">
<p>POC, particulate organic carbon; NPP, Net primary production; NSS, Non-steady state; Chl-a, Chlorophyll-a; RA<sub>P234</sub>, residual &#x3b2; activity of particulate <sup>234</sup>Th.</p>
</fn>
</fn-group>
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