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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.2023.1249115</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>Quantifying N<sub>2</sub> fixation and its contribution to export production near the Tonga-Kermadec Arc using nitrogen isotope budgets</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Forrer</surname>
<given-names>Heather J.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2136911"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Bonnet</surname>
<given-names>Sophie</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/50427"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Thomas</surname>
<given-names>Rachel K.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2367223"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Grosso</surname>
<given-names>Olivier</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1109060"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Guieu</surname>
<given-names>Cecile</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/153662"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Knapp</surname>
<given-names>Angela N.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/48450"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Earth, Ocean, and Atmospheric Science Department, Florida State University</institution>, <addr-line>Tallahassee, FL</addr-line>, <country>United States</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Aix Marseille University, Universit&#xe9; de Toulon, CNRS, IRD</institution>, <addr-line>MIO Marseille</addr-line>, <country>France</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Laboratoire d&#x2019;Oceanographie de Villefranche, CNRS, Sorbonne University</institution>, <addr-line>Villefranche-sur-mer</addr-line>, <country>France</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Margarita Fern&#xe1;ndez Tejedor, Institute of Agrifood Research and Technology (IRTA), Spain</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Dengzhou Gao, East China Normal University, China; Annie Bourbonnais, University of South Carolina, United States</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Heather J. Forrer, <email xlink:href="mailto:hforrer@fsu.edu">hforrer@fsu.edu</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>27</day>
<month>10</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>10</volume>
<elocation-id>1249115</elocation-id>
<history>
<date date-type="received">
<day>28</day>
<month>06</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>12</day>
<month>10</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2023 Forrer, Bonnet, Thomas, Grosso, Guieu and Knapp</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Forrer, Bonnet, Thomas, Grosso, Guieu and Knapp</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<p>The spatial distribution of marine di-nitrogen (N<sub>2</sub>) fixation informs our understanding of the sensitivities of this process as well as the potential for this new nitrogen (N) source to drive export production, influencing the global carbon (C) cycle and climate. Using geochemically-derived &#x3b4;<sup>15</sup>N budgets, we quantified rates of N<sub>2</sub> fixation and its importance for supporting export production at stations sampled near the southwest Pacific Tonga-Kermadec Arc. Recent observations indicate that shallow (&lt;300 m) hydrothermal vents located along the arc provide significant dissolved iron to the euphotic zone, stimulating N<sub>2</sub> fixation. Here we compare measurements of water column &#x3b4;<sup>15</sup>N<sub>NO3+NO2</sub> with sinking particulate &#x3b4;<sup>15</sup>N collected by short-term sediment traps deployed at 170 m and 270 m at stations in close proximity to subsurface hydrothermal activity, and the &#x3b4;<sup>15</sup>N of N<sub>2</sub> fixation. Results from the &#x3b4;<sup>15</sup>N budgets yield high geochemically-based N<sub>2</sub> fixation rates (282 to 638 &#xb5;mol N m<sup>-2</sup> d<sup>-1</sup>) at stations impacted by hydrothermal activity, supporting 64 to 92% of export production in late spring. These results are consistent with contemporaneous <sup>15</sup>N<sub>2</sub> uptake rate estimates and molecular work describing high <italic>Trichodesmium</italic> spp. and other diazotroph abundances associated with elevated N<sub>2</sub> fixation rates. Further, the &#x3b4;<sup>15</sup>N of sinking particulate N collected at 1000 m over an annual cycle revealed sinking fluxes peaked in the summer and coincided with the lowest &#x3b4;<sup>15</sup>N, while lower winter sinking fluxes had the highest &#x3b4;<sup>15</sup>N, indicating isotopically distinct N sources supporting export seasonally, and aligning with observations from most other &#x3b4;<sup>15</sup>N budgets in oligotrophic regions. Consequently, the significant regional N<sub>2</sub> fixation input to the late spring/summer Western Tropical South Pacific results in the accumulation of low-&#x3b4;<sup>15</sup>N<sub>NO3+NO2</sub> in the upper thermocline that works to lower the elevated &#x3b4;<sup>15</sup>N<sub>NO3+NO2</sub> generated in the oxygen deficient zones in the Eastern Tropical South Pacific.</p>
</abstract>
<kwd-group>
<kwd>N<sub>2</sub> fixation</kwd>
<kwd>nitrate d15N</kwd>
<kwd>Tonga Arc</kwd>
<kwd>South Pacific</kwd>
<kwd>hydrothermal vents</kwd>
<kwd>d15N budget</kwd>
</kwd-group>
<counts>
<fig-count count="6"/>
<table-count count="2"/>
<equation-count count="2"/>
<ref-count count="92"/>
<page-count count="14"/>
<word-count count="7920"/>
</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>The biological fixation of dinitrogen (N<sub>2</sub>) gas, mediated primarily by marine prokaryotes (&#x201c;diazotrophs&#x201d;), is the largest source of newly fixed nitrogen (N) to the global ocean (<xref ref-type="bibr" rid="B36">Gruber, 2004</xref>; <xref ref-type="bibr" rid="B49">Landolfi et&#xa0;al., 2018</xref>), fertilizing primary productivity and supporting carbon (C) export (<xref ref-type="bibr" rid="B33">Dugdale and Goering, 1967</xref>; <xref ref-type="bibr" rid="B40">Karl et&#xa0;al., 1997</xref>; <xref ref-type="bibr" rid="B21">Capone, 2001</xref>; <xref ref-type="bibr" rid="B22">Capone et&#xa0;al., 2005</xref>). The global rate and distribution of marine N<sub>2</sub> fixation remains uncertain, although geochemical and biological observations indicate significant N<sub>2</sub> fixation rates occur in both the Tropical Atlantic (<xref ref-type="bibr" rid="B36">Gruber, 2004</xref>; <xref ref-type="bibr" rid="B22">Capone et&#xa0;al., 2005</xref>; <xref ref-type="bibr" rid="B53">Mahaffey, 2005</xref>; <xref ref-type="bibr" rid="B55">Marconi et&#xa0;al., 2017</xref>) as well as the Western Tropical South Pacific (WTSP) (<xref ref-type="bibr" rid="B7">Berthelot et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B10">Bonnet et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B19">Caffin et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B42">Knapp et&#xa0;al., 2018</xref>). These high rates of N<sub>2</sub> fixation in the Tropical Atlantic are consistent with locations of elevated rates of atmospheric dust deposition (<xref ref-type="bibr" rid="B39">Jickells et&#xa0;al., 2005</xref>; <xref ref-type="bibr" rid="B54">Mahowald et&#xa0;al., 2005</xref>; <xref ref-type="bibr" rid="B29">Conway and John, 2014</xref>; <xref ref-type="bibr" rid="B89">Xu and Weber, 2021</xref>), while emerging evidence in the WTSP describes the significance of hydrothermally sourced iron (Fe) (<xref ref-type="bibr" rid="B37">Guieu et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B12">Bonnet et&#xa0;al., 2023b</xref>) meet the high Fe requirements of diazotrophs (<xref ref-type="bibr" rid="B6">Berman-Frank et&#xa0;al., 2001</xref>; <xref ref-type="bibr" rid="B48">Kustka et&#xa0;al., 2003</xref>) in the region. Indeed, Fe and phosphorus availability are thought to primarily influence the spatial distribution of marine N<sub>2</sub> fixation (<xref ref-type="bibr" rid="B64">Moore et&#xa0;al., 2009</xref>; <xref ref-type="bibr" rid="B62">Monteiro et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B34">Dutkiewicz et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B85">Weber and Deutsch, 2014</xref>).</p>
<p>A long-standing goal of marine N<sub>2</sub> fixation research is to better characterize the marine diazotroph community and their sensitivity to environmental fluctuations, while relating these to their regional distributions and consequential N<sub>2</sub> fixation fluxes (<xref ref-type="bibr" rid="B53">Mahaffey, 2005</xref>; <xref ref-type="bibr" rid="B60">Moisander et&#xa0;al., 2010</xref>; <xref ref-type="bibr" rid="B75">Sohm et&#xa0;al., 2011</xref>). Diazotrophs are identified by the nitrogenase (<italic>nifH</italic>) gene that encodes for the Fe binding protein of the <italic>nifH</italic> operon (<xref ref-type="bibr" rid="B90">Zehr et&#xa0;al., 1998</xref>; <xref ref-type="bibr" rid="B91">Zehr and Turner, 2001</xref>; <xref ref-type="bibr" rid="B81">Turk-Kubo et&#xa0;al., 2012</xref>). Common marine proteobacterial (e.g., alpha-, beta- gamma-, delta-) and cyanobacterial diazotroph types include: 1) non-heterocystous filamentous (e.g., <italic>Trichodesmium</italic> spp.), 2) heterocystous filamentous (e.g., <italic>Richelia</italic>), and 3) unicellular (e.g., <italic>Crocosphaera</italic> spp.) (<xref ref-type="bibr" rid="B20">Capone et&#xa0;al., 1997</xref>; <xref ref-type="bibr" rid="B52">Luo et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B61">Moisander et&#xa0;al., 2014</xref>). Historically, high rates of N<sub>2</sub> fixation by these and other diazotrophs have been associated with warm (&gt;25 &#xb0;C), nitrate (NO<sub>3</sub>
<sup>-</sup>)- and ammonium (NH<sub>4</sub>
<sup>+</sup>)-depleted, Fe-rich surface waters (<xref ref-type="bibr" rid="B48">Kustka et&#xa0;al., 2003</xref>; <xref ref-type="bibr" rid="B76">Staal et&#xa0;al., 2003</xref>; <xref ref-type="bibr" rid="B8">Bonnet et&#xa0;al., 2009</xref>). The impact Fe has on the intra-basin distribution of N<sub>2</sub> fixation rates is particularly evident in the South Pacific, with low Fe supply associated with low rates of N<sub>2</sub> fixation in the Eastern Tropical South Pacific (ETSP) (<xref ref-type="bibr" rid="B30">Dekaezemacker et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B44">Knapp et&#xa0;al., 2016a</xref>). While historically atmospheric deposition has been considered the primary source of Fe fueling marine diazotrophy, the WTSP surface waters appear relatively unique, with the primary Fe supply thought to originate from shallow (&#x2264;300 m) hydrothermal vents, particularly in the Lau Basin (<xref ref-type="bibr" rid="B37">Guieu et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B79">Tilliette et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B12">Bonnet et&#xa0;al., 2023b</xref>).</p>
<p>Biological tools have been used to calculate short-term N<sub>2</sub> fixation rates (e.g., <xref ref-type="bibr" rid="B63">Montoya et&#xa0;al., 2004</xref>; <xref ref-type="bibr" rid="B22">Capone et&#xa0;al., 2005</xref>; <xref ref-type="bibr" rid="B67">Mulholland et&#xa0;al., 2019</xref>) and identify marine diazotrophic potential (<xref ref-type="bibr" rid="B81">Turk-Kubo et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B77">Stenegren et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B58">Meiler et&#xa0;al., 2022</xref>). However, the contribution of N<sub>2</sub> fixation to export production is primarily estimated using a geochemically-derived &#x201c;&#x3b4;<sup>15</sup>N&#x201d; budget over short timescales (<xref ref-type="bibr" rid="B26">Casciotti et&#xa0;al., 2008</xref>; <xref ref-type="bibr" rid="B14">Bourbonnais et&#xa0;al., 2009</xref>; <xref ref-type="bibr" rid="B87">White et&#xa0;al., 2013</xref>) as well as annual cycles (<xref ref-type="bibr" rid="B13">B&#xf6;ttjer et&#xa0;al., 2017</xref>). The &#x201c;&#x3b4;<sup>15</sup>N&#x201d; budget uses a two end-member mixing model to compare the isotopic composition (&#x3b4;<sup>15</sup>N) of exported particulate organic matter captured in a sediment trap (PN<sub>sink</sub>) to the &#x3b4;<sup>15</sup>N of N<sub>2</sub> fixation inputs (-1&#x2030;) (<xref ref-type="bibr" rid="B38">Hoering and Ford, 1960</xref>; <xref ref-type="bibr" rid="B59">Minagawa and Wada, 1986</xref>; <xref ref-type="bibr" rid="B24">Carpenter et&#xa0;al., 1997</xref>) and subsurface NO<sub>3</sub>
<sup>-</sup> (measured at each location, where &#x3b4;<sup>15</sup>N (&#x2030; vs. air) = [((<sup>15</sup>N/<sup>14</sup>N)<sub>sample</sub>/(<sup>15</sup>N/<sup>14</sup>N)<sub>AIR</sub>)-1]x1000) (<xref ref-type="bibr" rid="B1">Altabet, 1988</xref>; <xref ref-type="bibr" rid="B40">Karl et&#xa0;al., 1997</xref>; <xref ref-type="bibr" rid="B32">Dore et&#xa0;al., 2002</xref>; <xref ref-type="bibr" rid="B26">Casciotti et&#xa0;al., 2008</xref>; <xref ref-type="bibr" rid="B14">Bourbonnais et&#xa0;al., 2009</xref>; <xref ref-type="bibr" rid="B87">White et&#xa0;al., 2013</xref>). Most prior &#x3b4;<sup>15</sup>N budgets indicate that N<sub>2</sub> fixation supports &lt;20% of export production in oligotrophic regions. In the North Pacific and ETSP, &#x2264;25% of export production is estimated to be supported by N<sub>2</sub> fixation (<xref ref-type="bibr" rid="B26">Casciotti et&#xa0;al., 2008</xref>; <xref ref-type="bibr" rid="B44">Knapp et&#xa0;al., 2016a</xref>; <xref ref-type="bibr" rid="B13">B&#xf6;ttjer et&#xa0;al., 2017</xref>), although that 25% is likely not equally distributed over an annual cycle. Specifically, summertime stratification is believed to promote N<sub>2</sub> fixation-supported export, while the deepening of the wintertime mixed layer promotes NO<sub>3</sub>
<sup>&#x2013;</sup>supported export production (<xref ref-type="bibr" rid="B26">Casciotti et&#xa0;al., 2008</xref>; <xref ref-type="bibr" rid="B13">B&#xf6;ttjer et&#xa0;al., 2017</xref>). In contrast to other &#x3b4;<sup>15</sup>N budgets from oligotrophic regions, a recent study from the WTSP describes particularly large contributions of N<sub>2</sub> fixation to export production (&gt;50%) during the late summer and early autumn (<xref ref-type="bibr" rid="B42">Knapp et&#xa0;al., 2018</xref>). However, it remains unclear whether N<sub>2</sub> fixation supports a meaningful fraction of N export in the WTSP annually. Here we apply a &#x3b4;<sup>15</sup>N budget to samples collected in shallow (170 m and 270 m), short-term drifting sediment traps to evaluate the importance of N<sub>2</sub> fixation-supported export production during the late spring. Additionally, we use sinking material collected over the course of a year in a deep (1000 m), moored sediment trap to evaluate seasonal trends in the &#x3b4;<sup>15</sup>N of exported particulate organic matter relative to the &#x3b4;<sup>15</sup>N for sources of new N to surface waters. We compare the geochemically-derived N<sub>2</sub> fixation rates from the short-term &#x3b4;<sup>15</sup>N budgets with <sup>15</sup>N<sub>2</sub> incubation-based rates and estimates of diazotroph abundance, and evaluate these results in the context of previous regional and global N<sub>2</sub> fixation rate estimates, as well as seasonal trends extracted from the deep, moored trap.</p>
</sec>
<sec id="s2">
<label>2</label>
<title>Methods</title>
<sec id="s2_1">
<label>2.1</label>
<title>Sample collection</title>
<p>Sample collection was conducted as part of the GEOTRACES TONGA (shallow hydroThermal sOurces of trace elemeNts: potential impacts on biological productivity and the bioloGicAl carbon pump) research cruises (doi.org/10.17600/18000884) aboard the <italic>R/V L&#x2019;Atalante</italic> in November 2019 and <italic>R/V Alis</italic> in October 2020, with both cruises leaving from and returning to Noum&#xe9;a, New Caledonia. The 2019 primary cruise collected samples at 13 stations along a roughly zonal transect at ~20&#xb0; S, sampling Melanesian waters (MW), the Lau Basin (LB), and crossing the Tonga-Kermadec Arc into the deeper South Pacific Gyre (SPG). In 2020, samples were collected at four stations in MW and the LB (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>). On both cruises, water column samples (n=200) for nitrate + nitrite ([NO<sub>3</sub>
<sup>-</sup>+NO<sub>2</sub>
<sup>-</sup>]) concentration and &#x3b4;<sup>15</sup>N analysis were collected from Niskin or GoFlo bottles deployed on conductivity, temperature, and depth (CTD), TOW (small, classical CTD with 12 Niskin bottles), or trace metal clean (TMC) rosettes equipped with sensors. At discrete depths from each of the casts, 60 mL of 0.2 &#x3bc;m filtered seawater were collected in duplicate and stored in acid and deionized water-washed, sample-rinsed (three times) high-density polyethylene bottles. These samples were then immediately frozen at -20&#xb0; C and subsequently sent to Florida State University for post cruise analysis.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Bathymetry of the southwest Pacific region with stations from the TONGA research cruises shown in larger filled circles with black outlines (2019), and smaller filled circles with white outlines (2020); gray represents areas above sea-level. Stations 2-2019, 3-2019 and 1-2020 were sampled in Melanesian waters (MW), stations 4-2019, 5-2019, 10-2019, 12-2019, 2-2020, 3-2020, and 4-2020 were sampled in the Lau Basin (LB), and stations 6-2019, 7-2019, and 8-2019 were sampled in the South Pacific Gyre (SPG). Stations 5 (a, b, c, d)-2019 and 10 (a, b)-2019 were proximal to the shallow hydrothermal vents &#x2018;Panamax&#x2019; and &#x2018;Simone&#x2019;, respectively. The South Equatorial Current (SEC) and branches thereof are indicated by the white arrows.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-10-1249115-g001.tif"/>
</fig>
<p>Short-term Particle Interceptor Traps [PIT, collecting area of 0.0085&#x2009;m<sup>2</sup>, aspect ratio of 6.7, and filled with 0.2&#x2009;&#x3bc;m filtered seawater with added formaldehyde brine (5% formaldehyde, final concentration) buffered with sodium tetraborate (pH 8)] were deployed on a drifting mooring in close proximity to the hydrothermal vents at 170 m and 270 m at station 5a-2019 for five days and at 270 m at station 10a-2019 for four days during the 2019 cruise, collecting sinking particulate N (&#x201c;PN<sub>sink</sub>&#x201d;). Additionally, a long-term Technicap PPS5 trap (1 m<sup>2</sup> collecting area, aspect ratio of 5.3) was deployed (containing the same buffered formaldehyde brine solution described above) at station 12-2019/4-2020 at 1000 m, collecting samples every 14 days (bimonthly) for 12 months from November 2019 to October 2020. Although sediment traps are a standard tool used to capture sinking particles, uncertainties remain in their collection efficiency within the water column and between trap designs (<xref ref-type="bibr" rid="B18">Buesseler et&#xa0;al., 2007</xref>; <xref ref-type="bibr" rid="B2">Baker et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B80">Tilliette et al., 2023</xref>).</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>NO<sub>3</sub>
<sup>-</sup>+NO<sub>2</sub>
<sup>-</sup> concentration and &#x3b4;<sup>15</sup>N analysis</title>
<p>For the 2019 samples, [NO<sub>3</sub>
<sup>-</sup>+NO<sub>2</sub>
<sup>-</sup>] was determined using colorimetric analysis (<xref ref-type="bibr" rid="B1001">Aminot and Kerouel, 2007</xref>) with a detection limit of 0.05 &#xb5;M and a standard deviation (S.D.) of &#xb1; 0.1 &#x3bc;M. Furthermore, the [NO<sub>3</sub>
<sup>-</sup>+NO<sub>2</sub>
<sup>-</sup>] for the 2020 samples was measured by chemiluminescence (<xref ref-type="bibr" rid="B16">Braman and Hendrix, 1989</xref>) using a Thermo 42i NO<sub>x</sub> analyzer at Florida State University. Briefly, samples were injected into a heated, acidic vanadium (III) solution that reduces NO<sub>3</sub>
<sup>-</sup>+NO<sub>2</sub>
<sup>-</sup> quantitatively to nitric oxide gas (NO<sub>(g)</sub>). The NO<sub>(g)</sub> then reacts with ozone inside the analyzer to produce light, the intensity of which is quantitatively related to the amount of NO<sub>(g)</sub> in the sample and thus the original [NO<sub>3</sub>
<sup>-</sup>+NO<sub>2</sub>
<sup>-</sup>]. The range of detection of the instrument was adjusted according to the concentrations of the samples. Sample [NO<sub>3</sub>
<sup>-</sup>+NO<sub>2</sub>
<sup>-</sup>] was calibrated using a standard curve that bracketed the range of samples with a lower reporting limit of 0.1 &#xb5;M and an average S.D. of &#xb1; 0.1 &#x3bc;M.</p>
<p>The nitrogen (N) isotopic composition of NO<sub>3</sub>
<sup>-</sup>+NO<sub>2</sub>
<sup>-</sup> (&#x3b4;<sup>15</sup>N<sub>NO3+NO2</sub>) was determined using the &#x201c;denitrifier&#x201d; method (<xref ref-type="bibr" rid="B73">Sigman et al., 2001</xref>; <xref ref-type="bibr" rid="B25">Casciotti et&#xa0;al., 2002</xref>; <xref ref-type="bibr" rid="B57">McIlvin and Casciotti, 2011</xref>; <xref ref-type="bibr" rid="B86">Weigand et&#xa0;al., 2016</xref>). This analysis was performed when sample [NO<sub>3</sub>
<sup>-</sup>+NO<sub>2</sub>
<sup>-</sup>] &#x2265; 0.3 &#x3bc;M. The &#x3b4;<sup>15</sup>N<sub>NO3+NO2</sub> values were reported when the standard deviation of replicate analyses was &lt;0.5&#x2030;. Samples were calibrated with IAEA N3 and USGS 34 as described in <xref ref-type="bibr" rid="B57">McIlvin and Casciotti (2011)</xref>.</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Sinking particulate N flux and &#x3b4;<sup>15</sup>N measurements</title>
<p>The bulk PN<sub>sink</sub> mass flux, and its associated isotopic composition, &#x201c;&#x3b4;<sup>15</sup>N<sub>PNsink</sub>&#x201d;, collected by the sediment traps, was measured using an Elementar Analyser - Isotope Ratio Mass Spectrometer (EA-IRMS) at the Mediterranean Institute of Oceanography (SERCON INTEGRA 2). The Quantification Limit was 7 &#xb5;g N and the precision was between &#xb1; 0.3&#x2030; for highest masses and &#xb1; 3.5&#x2030; for masses close to Quantification Limit (k = 2).</p>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>&#x3b4;<sup>15</sup>N budget calculations</title>
<p>A two end-member mixing model was used to evaluate the &#x3b4;<sup>15</sup>N budgets. This model assumes two quantitatively important &#x201c;new&#x201d; N sources to surface waters, subsurface NO<sub>3</sub>
<sup>-</sup>+NO<sub>2</sub>
<sup>-</sup> and biological N<sub>2</sub> fixation, as well as one loss term, PN<sub>sink</sub>. The isotopic composition of N<sub>2</sub> fixation inputs, &#x201c;&#x3b4;<sup>15</sup>N<sub>N2 fix</sub>&#x201d; was assumed to be -1&#x2030; (<xref ref-type="bibr" rid="B38">Hoering and Ford, 1960</xref>; <xref ref-type="bibr" rid="B59">Minagawa and Wada, 1986</xref>; <xref ref-type="bibr" rid="B24">Carpenter et&#xa0;al., 1997</xref>), while the &#x3b4;<sup>15</sup>N of subsurface NO<sub>3</sub>
<sup>-</sup>+NO<sub>2</sub>
<sup>-</sup> and PN<sub>sink</sub> were measured. The relative contribution of N<sub>2</sub> fixation to export production, &#x201c;f<sub>nfix</sub>&#x201d;, is calculated by the following (<xref ref-type="bibr" rid="B42">Knapp et&#xa0;al., 2018</xref>):</p>
<disp-formula>
<label>(1)</label>
<mml:math display="block" id="M1">
<mml:mrow>
<mml:msup>
<mml:mtext>&#x3b4;</mml:mtext>
<mml:mrow>
<mml:mn>15</mml:mn>
</mml:mrow>
</mml:msup>
<mml:msub>
<mml:mtext>N</mml:mtext>
<mml:mrow>
<mml:mtext>PNsink</mml:mtext>
</mml:mrow>
</mml:msub>
<mml:mo>=</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:msub>
<mml:mtext>f</mml:mtext>
<mml:mrow>
<mml:mtext>nfix</mml:mtext>
</mml:mrow>
</mml:msub>
<mml:mi mathsize="4">(</mml:mi>
<mml:mrow>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>1</mml:mn>
<mml:mo>%</mml:mo>
</mml:mrow>
<mml:mi mathsize="4">)</mml:mi>
<mml:mo>+</mml:mo>
<mml:mi mathsize="4">(</mml:mi>
<mml:mrow>
<mml:mn>1</mml:mn>
<mml:mo>&#x2212;</mml:mo>
<mml:msub>
<mml:mtext>f</mml:mtext>
<mml:mrow>
<mml:mtext>nfix</mml:mtext>
</mml:mrow>
</mml:msub>
</mml:mrow>
<mml:mi mathsize="4">)</mml:mi>
<mml:mi mathsize="4">(</mml:mi>
<mml:mrow>
<mml:msup>
<mml:mtext>&#x3b4;</mml:mtext>
<mml:mrow>
<mml:mn>15</mml:mn>
</mml:mrow>
</mml:msup>
<mml:msub>
<mml:mtext>N</mml:mtext>
<mml:mrow>
<mml:mtext>NO</mml:mtext>
<mml:mn>3</mml:mn>
<mml:mo>+</mml:mo>
<mml:mtext>NO</mml:mtext>
<mml:mn>2</mml:mn>
</mml:mrow>
</mml:msub>
</mml:mrow>
<mml:mi mathsize="4">)</mml:mi>
</mml:mrow>
</mml:math>
</disp-formula>
<p>which can be rearranged to solve for f<sub>nfix</sub>:</p>
<disp-formula>
<label>(2)</label>
<mml:math display="block" id="M2">
<mml:mrow>
<mml:msub>
<mml:mtext>f</mml:mtext>
<mml:mrow>
<mml:mtext>nfix</mml:mtext>
</mml:mrow>
</mml:msub>
<mml:mtext>&#xa0;</mml:mtext>
<mml:mo>=</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:mfenced close="]" open="[">
<mml:mrow>
<mml:mi mathsize="4">(</mml:mi>
<mml:mrow>
<mml:msup>
<mml:mtext>&#x3b4;</mml:mtext>
<mml:mrow>
<mml:mn>15</mml:mn>
</mml:mrow>
</mml:msup>
<mml:msub>
<mml:mtext>N</mml:mtext>
<mml:mrow>
<mml:mtext>NO</mml:mtext>
<mml:mn>3</mml:mn>
<mml:mo>+</mml:mo>
<mml:mtext>NO</mml:mtext>
<mml:mn>2</mml:mn>
</mml:mrow>
</mml:msub>
</mml:mrow>
<mml:mi mathsize="4">)</mml:mi>
<mml:mtext>&#xa0;</mml:mtext>
<mml:mo>&#x2013;</mml:mo>
<mml:mtext>&#xa0;</mml:mtext>
<mml:mi mathsize="4">(</mml:mi>
<mml:mrow>
<mml:msup>
<mml:mtext>&#x3b4;</mml:mtext>
<mml:mrow>
<mml:mn>15</mml:mn>
</mml:mrow>
</mml:msup>
<mml:msub>
<mml:mtext>N</mml:mtext>
<mml:mrow>
<mml:mtext>PNsink</mml:mtext>
</mml:mrow>
</mml:msub>
</mml:mrow>
<mml:mi mathsize="4">)</mml:mi>
</mml:mrow>
</mml:mfenced>
</mml:mrow>
<mml:mrow>
<mml:mfenced close="]" open="[">
<mml:mrow>
<mml:mn>1</mml:mn>
<mml:mo>+</mml:mo>
<mml:mtext>&#xa0;</mml:mtext>
<mml:mi mathsize="4">(</mml:mi>
<mml:mrow>
<mml:msup>
<mml:mtext>&#x3b4;</mml:mtext>
<mml:mrow>
<mml:mn>15</mml:mn>
</mml:mrow>
</mml:msup>
<mml:msub>
<mml:mtext>N</mml:mtext>
<mml:mrow>
<mml:mtext>NO</mml:mtext>
<mml:mn>3</mml:mn>
<mml:mo>+</mml:mo>
<mml:mtext>NO</mml:mtext>
<mml:mn>2</mml:mn>
</mml:mrow>
</mml:msub>
</mml:mrow>
<mml:mi mathsize="4">)</mml:mi>
</mml:mrow>
</mml:mfenced>
</mml:mrow>
</mml:mfrac>
</mml:mrow>
</mml:math>
</disp-formula>
<p>The depth from which subsurface NO<sub>3</sub>
<sup>-</sup>+NO<sub>2</sub>
<sup>-</sup> is sourced likely varies and is difficult to constrain; therefore, the short-term &#x3b4;<sup>15</sup>N budgets are evaluated over a range of subsurface &#x3b4;<sup>15</sup>N<sub>NO3+NO2</sub> source values. These values include the shallowest &#x3b4;<sup>15</sup>N<sub>NO3+NO2</sub> minima and the &#x3b4;<sup>15</sup>N<sub>NO3+NO2</sub> of the sample collected immediately below the minima (<xref ref-type="bibr" rid="B43">Knapp et&#xa0;al., 2021</xref>). The long-term &#x3b4;<sup>15</sup>N budgets are evaluated using the shallowest average &#x3b4;<sup>15</sup>N<sub>NO3+NO2</sub> minima at station 12-2019/station 4-2020 as well as the average &#x3b4;<sup>15</sup>N<sub>NO3+NO2</sub> of South Pacific Sub-tropical Under Water (SPSTUW, 150m &#x2013; 250 m depth) at station 4-2020. Note, sampling resolution at station 12-2019 did not include SPSTUW. These &#x3b4;<sup>15</sup>N<sub>NO3+NO2</sub> end-members for the moored trap &#x3b4;<sup>15</sup>N bugdet were chosen to encompass the range of NO<sub>3</sub>
<sup>-</sup>+NO<sub>2</sub>
<sup>-</sup> likely entrained to surface waters over an annual cycle (<xref ref-type="bibr" rid="B65">Moutin et&#xa0;al., 2018</xref>). This seasonality is also observed at the station ALOHA, Hawaii (<xref ref-type="bibr" rid="B26">Casciotti et&#xa0;al., 2008</xref>; <xref ref-type="bibr" rid="B13">B&#xf6;ttjer et&#xa0;al., 2017</xref>). Once the fraction of export supported by N<sub>2</sub> fixation is calculated, an N<sub>2</sub> fixation rate, &#x201c;R<sub>nfix</sub>&#x201d; can be calculated by multiplying f<sub>nfix</sub> by the PN<sub>sink</sub> mass flux, yielding a geochemically-derived N<sub>2</sub> fixation rate.</p>
</sec>
<sec id="s2_5">
<label>2.5</label>
<title>Bathymetric data</title>
<p>Bathymetric data from the sampling region were considered to better understand the bathymetric-induced current steering as well as the proximity of the stations to the shallow hydrothermal vents. These bathymetric data were downloaded from NOAA&#x2019;s National Centers for Environmental Information page (<ext-link ext-link-type="uri" xlink:href="https://www.ngdc.noaa.gov/mgg/global/">https://www.ngdc.noaa.gov/mgg/global/</ext-link>). The ETOPO1 Global Relief Model was used with the grid version ETOPO1 Bedrock.</p>
</sec>
</sec>
<sec id="s3">
<label>3</label>
<title>Hydrography</title>
<p>Water masses along the TONGA transect were identified using temperature, salinity, and potential density (&#x3c3;<sub>&#x3b8;</sub>) (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>) and align with those reported in <xref ref-type="bibr" rid="B79">Tilliette et&#xa0;al. (2022)</xref>. Plots of the water column profiles in temperature-salinity space indicate that all stations were largely influenced by the same water masses (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>), reflecting the dominance of the westward flowing SEC, which impacts waters from 400 to 1000 m across this region (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>) (<xref ref-type="bibr" rid="B78">Talley et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B37">Guieu et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B79">Tilliette et&#xa0;al., 2022</xref>). The SEC divides into branches, particularly in the LB, due to the bathymetric blocking by islands and deep-sea ridges (<xref ref-type="bibr" rid="B84">Webb, 2000</xref>; <xref ref-type="bibr" rid="B79">Tilliette et&#xa0;al., 2022</xref>). Many of these branches in the LB are observed to have an overall southwestern trajectory before returning to a western trajectory over the center of the LB and maintaining this westward trajectory in MW (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>) (<xref ref-type="bibr" rid="B79">Tilliette et&#xa0;al., 2022</xref>). Additionally, the Tonga-Kermadec Arc acts as a physical barrier to deep water masses entering the LB from the SPG, influencing circulation downstream (<xref ref-type="bibr" rid="B79">Tilliette et&#xa0;al., 2022</xref>). Surface waters across this transect were turbulent down to ~150 m with a  &#x3c3;<sub>&#x3b8;</sub> of 23.7 &#xb1; 0.2, temperature of 24.4 &#xb1; 0.6&#xb0;C, and salinity of 35.4 &#xb1; 0.5, aligning with previous studies (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>) (<xref ref-type="bibr" rid="B79">Tilliette et&#xa0;al., 2022</xref>). Below that, in the thermocline and extending to ~700 m, two major water masses were present: SPSTUW and Western South Pacific Central Water (WSPCW) (<xref ref-type="bibr" rid="B78">Talley et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B50">Lehmann et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B79">Tilliette et&#xa0;al., 2022</xref>) (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>) (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). Across the transect, SPSTUW had an average (&#xb1; 1 S.D.)  &#x3c3;<sub>&#x3b8;</sub> of 25.0 &#xb1; 0.2, temperature of 22.5 &#xb1; 0.8&#xb0;C and was further recognized by its characteristic salinity maximum of 35.7 &#xb1; 0.1 (<xref ref-type="bibr" rid="B78">Talley et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B50">Lehmann et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B79">Tilliette et&#xa0;al., 2022</xref>) between 150 and 250 m (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). Between 250 and 500 m, WSPCW was identified by a linear temperature-salinity relationship, with an average (&#xb1; 1 S.D.)  &#x3c3;<sub>&#x3b8;</sub> of 26.4 &#xb1; 0.2, temperature of 12.6 &#xb1; 0.9&#xb0;C and salinity of 34.9 &#xb1; 0.2, comparable to values reported by <xref ref-type="bibr" rid="B50">Lehmann et&#xa0;al. (2018)</xref> and <xref ref-type="bibr" rid="B79">Tilliette et&#xa0;al. (2022)</xref>. Notably, between 380 and 400 m South Pacific Subtropical Mode Water (SPSTMW), a subsidiary of WSPCW, was identified by its characteristic  &#x3c3;<sub>&#x3b8;</sub> of 26.0 (<xref ref-type="bibr" rid="B78">Talley et&#xa0;al., 2011</xref>), with an average (&#xb1; 1 S.D.) temperature of 14.9 &#xb1; 0.5&#xb0;C and salinity of 35.2 &#xb1; 0.1 (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). Finally, deep water masses were observed in the SPG east of the Tonga-Kermadec Arc. In particular, Antarctic Intermediate Water (AAIW) was observed at station 8-2019 and station 2-2020 between 630 and 700 m where a  &#x3c3;<sub>&#x3b8;</sub> of 26.9 &#xb1; 0.1 temperature of 6.5 &#xb1; 0.1&#xb0;C and salinity of 34.4 &#xb1; 0.0, aligning with previous studies (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>) (<xref ref-type="bibr" rid="B78">Talley et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B79">Tilliette et&#xa0;al., 2022</xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Temperature-salinity plot of samples from the 2019 and 2020 TONGA cruises as well as the prevalent water masses across the transect. The dotted grey lines indicate potential density ( &#x3c3;<sub>&#x3b8;</sub>) isopycnals. The water masses include surface waters, South Pacific Subtropical Under Water (SPSTUW), Western South Pacific Central Water (WSPCW), South Pacific Subtropical Mode Water (SPSTMW), a subsidiary of WSPCW and Antarctic Intermediate Water (AAIW).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-10-1249115-g002.tif"/>
</fig>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Water masses identified from the 2019 and 2020 TONGA cruises and their average (&#xb1; 1 S.D.) hydrographic and NO<sub>3</sub>
<sup>-</sup>+NO<sub>2</sub>
<sup>-</sup> properties and number (n) of samples from each water mass.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Water Mass</th>
<th valign="middle" align="center">Depth<break/>(m)</th>
<th valign="middle" align="center">Temperature<break/>(&#xb0;C)</th>
<th valign="middle" align="center">Salinity</th>
<th valign="middle" align="center">&#x3c3;<sub>&#x3b8;</sub>
</th>
<th valign="middle" align="center">[NO<sub>3</sub>
<sup>-</sup>+NO<sub>2</sub>
<sup>-</sup>]<break/>&#x3bc;M</th>
<th valign="middle" align="center">&#x3b4;<sup>15</sup>N<sub>NO3+NO2</sub>
<break/>(&#x2030; vs. N<sub>2</sub> in air)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">Surface waters (97)</td>
<td valign="middle" align="center">0 &#x2013; 150</td>
<td valign="middle" align="center">24.4 &#xb1; 0.6<sup>1</sup>
</td>
<td valign="middle" align="center">35.4 &#xb1; 0.5<sup>1</sup>
</td>
<td valign="middle" align="center">23.7 &#xb1; 0.2</td>
<td valign="middle" align="center">0.2 &#xb1; 0.2<sup>1</sup>
</td>
<td valign="middle" align="center">2.4 &#xb1; 1.5<sup>4</sup>
<break/>4.3 &#xb1; 1.7<sup>5</sup>
</td>
</tr>
<tr>
<td valign="middle" align="center">SPSTUW<break/>(38)</td>
<td valign="middle" align="center">150 &#x2013; 250</td>
<td valign="middle" align="center">22.5 &#xb1; 0.8<sup>1,3</sup>
</td>
<td valign="middle" align="center">35.7 &#xb1; 0.1<sup>1,3</sup>
</td>
<td valign="middle" align="center">25.0 &#xb1; 0.2</td>
<td valign="middle" align="center">2.4 &#xb1; 0.8</td>
<td valign="middle" align="center">4.9 &#xb1; 1.4</td>
</tr>
<tr>
<td valign="middle" align="center">WSPCW<break/>(30)</td>
<td valign="middle" align="center">250 &#x2013; 550</td>
<td valign="middle" align="center">12.6 &#xb1; 0.9<sup>1,2</sup>
</td>
<td valign="middle" align="center">34.9 &#xb1; 0.2<sup>1,2</sup>
</td>
<td valign="middle" align="center">26.4 &#xb1; 0.2<sup>2</sup>
</td>
<td valign="middle" align="center">7.8 &#xb1; 2.5<sup>1</sup>
</td>
<td valign="middle" align="center">7.0 &#xb1; 0.7<sup>2</sup>
</td>
</tr>
<tr>
<td valign="middle" align="center">SPSTMW<break/>(4)</td>
<td valign="middle" align="center">380 &#x2013; 400</td>
<td valign="middle" align="center">14.9 &#xb1; 0.5<sup>3</sup>
</td>
<td valign="middle" align="center">35.2 &#xb1; 0.1<sup>3</sup>
</td>
<td valign="middle" align="center">26.0 &#xb1; 0.0<sup>3</sup>
</td>
<td valign="middle" align="center">9.0 &#xb1; 0.5</td>
<td valign="middle" align="center">7.4 &#xb1; 0.4</td>
</tr>
<tr>
<td valign="middle" align="center">AAIW<break/>(2)</td>
<td valign="middle" align="center">&gt; 600</td>
<td valign="middle" align="center">6.5 &#xb1; 0.1</td>
<td valign="middle" align="center">34.4 &#xb1; 0.0<sup>1,3</sup>
</td>
<td valign="middle" align="center">26.9 &#xb1; 0.1<sup>2,3</sup>
</td>
<td valign="middle" align="center">26.7 &#xb1; 1.2<sup>1*</sup>
</td>
<td valign="middle" align="center">6.9 &#xb1; 0.1<sup>2*</sup>
</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>
<sup>1</sup>
<xref ref-type="bibr" rid="B79">Tilliette et&#xa0;al., 2022</xref>
</p>
</fn>
<fn>
<p>
<sup>2</sup>
<xref ref-type="bibr" rid="B50">Lehmann et&#xa0;al., 2018</xref>
</p>
</fn>
<fn>
<p>
<sup>3</sup>
<xref ref-type="bibr" rid="B78">Talley et&#xa0;al., 2011</xref>
</p>
</fn>
<fn>
<p>
<sup>4</sup> Average for hydrothermal vent stations only (station 5-2019 and station 10-2019).</p>
</fn>
<fn>
<p>
<sup>5</sup> Average for all non-hydrothermal vent stations (i.e., all stations except station 5-2019 and station 10-2019).</p>
</fn>
<fn>
<p>*n = 1 for this measurement.</p>
<p>These data align with the studies indicated in superscript.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s4" sec-type="results">
<label>4</label>
<title>Results</title>
<sec id="s4_1">
<label>4.1</label>
<title>NO<sub>3</sub>
<sup>-</sup>+NO<sub>2</sub>
<sup>-</sup> concentration and &#x3b4;<sup>15</sup>N</title>
<p>The [NO<sub>3</sub>
<sup>-</sup>+NO<sub>2</sub>
<sup>-</sup>] in the upper 100 m of the WTSP was &#x2264;0.1 &#x3bc;M except at stations influenced by the hydrothermal vents, i.e., stations 5-2019 and 10-2019, where the [NO<sub>3</sub>
<sup>-</sup>+NO<sub>2</sub>
<sup>-</sup>] was 0.2 &#xb1; 0.0 &#x3bc;M to 0.7 &#xb1; 0.0 &#x3bc;M (average &#xb1;1 S.D.) between 60 m and 100 m (<xref ref-type="fig" rid="f3">
<bold>Figures&#xa0;3A, C</bold>
</xref>). At 400 m, the [NO<sub>3</sub>
<sup>-</sup>+NO<sub>2</sub>
<sup>-</sup>] increased to between 10 and 15 &#x3bc;M, corresponding to &#x3b4;<sup>15</sup>N<sub>NO3+NO2</sub> ranging from 6 to 8&#x2030; (<xref ref-type="fig" rid="f3">
<bold>Figures&#xa0;3B, D</bold>
</xref>). This is consistent with the presence of WSPCW (<xref ref-type="bibr" rid="B79">Tilliette et&#xa0;al., 2022</xref>) and more particularly, SPSTMW (<xref ref-type="bibr" rid="B50">Lehmann et&#xa0;al., 2018</xref>) and aligns with other studies in the region (<xref ref-type="bibr" rid="B42">Knapp et&#xa0;al., 2018</xref>). At station 8-2019, the [NO<sub>3</sub>
<sup>-</sup>+NO<sub>2</sub>
<sup>-</sup>] increased to 26.7 &#x3bc;M at 630 m with a corresponding &#x3b4;<sup>15</sup>N<sub>NO3+NO2</sub> of 6.9 &#xb1; 0.1&#x2030; (<xref ref-type="fig" rid="f3">
<bold>Figures&#xa0;3A, C</bold>
</xref>), consistent with AAIW (<xref ref-type="bibr" rid="B78">Talley et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B50">Lehmann et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B79">Tilliette et&#xa0;al., 2022</xref>). The majority of stations within MW and the LB (i.e., stations 1-2019 to 5-2019, 10-2019, and 12-2019) had &#x3b4;<sup>15</sup>N<sub>NO3+NO2</sub> ranging from 4 to 6&#x2030; at 200 m, decreasing shallower in the water column to 2 to 4&#x2030; at 150 m associated with the transition between SPSTUW and surface waters (<xref ref-type="fig" rid="f3">
<bold>Figures&#xa0;3B, D</bold>
</xref>). The SPG stations (stations 6-2019, 7-2019 and 8-2019) had an average &#x3b4;<sup>15</sup>N<sub>NO3+NO2</sub> of 6.8 &#xb1; 0.0&#x2030; at ~200 m characteristic of SPSTUW. This &#x3b4;<sup>15</sup>N<sub>NO3+NO2</sub> was significantly higher than the &#x3b4;<sup>15</sup>N<sub>NO3+NO2</sub> at 200 m in MW and LB samples, where the average &#x3b4;<sup>15</sup>N<sub>NO3+NO2</sub> at 200 m was 5.0 &#xb1; 0.6&#x2030; and 5.1 &#xb1; 0.6&#x2030;, respectively (<italic>p</italic>&lt;0.5 and <italic>p</italic>&lt;0.01, respectively, evaluated with the Kruskal-Wallis test; <xref ref-type="bibr" rid="B47">Kruskal and Wallis, 1952</xref>). Furthermore, the elevated &#x3b4;<sup>15</sup>N<sub>NO3+NO2</sub> in SPG SPSTUW corresponded to significantly lower [NO<sub>3</sub>
<sup>-</sup>+NO<sub>2</sub>
<sup>-</sup>] at 200 m (2.4 &#xb1; 0.8 &#x3bc;M) compared to the LB, where the average [NO<sub>3</sub>
<sup>-</sup>+NO<sub>2</sub>
<sup>-</sup>] at 200 m was 3.3 &#xb1; 0.6 &#x3bc;M (<italic>p</italic>&lt;0.01, <xref ref-type="bibr" rid="B47">Kruskal and Wallis, 1952</xref>) (<xref ref-type="fig" rid="f3">
<bold>Figures&#xa0;3A, C</bold>
</xref>). Within the surface waters (upper 150 m), the &#x3b4;<sup>15</sup>N<sub>NO3+NO2</sub> at hydrothermal station 5-2019 was significantly lower between the four casts (5a &#x2013; d), 1.8 &#xb1; 0.9&#x2030;, compared to the average &#x3b4;<sup>15</sup>N<sub>NO3+NO2</sub> in the upper 150 m at hydrothermal station 10 (10 a, b), 4.4 &#xb1; 0.6&#x2030; (<italic>p</italic>&lt;0.01, <xref ref-type="bibr" rid="B47">Kruskal and Wallis, 1952</xref>) (<xref ref-type="fig" rid="f3">
<bold>Figures&#xa0;3B, D</bold>
</xref>). The lowest &#x3b4;<sup>15</sup>N<sub>NO3+NO2</sub>, 0.7 &#xb1; 0.1&#x2030;, was observed at station 5c-2019 at 100 m, above which &#x3b4;<sup>15</sup>N<sub>NO3+NO2</sub> increased to 1.0 &#xb1; 0.0&#x2030; at 95 m (<xref ref-type="fig" rid="f3">
<bold>Figures&#xa0;3A, C</bold>
</xref>). The &#x3b4;<sup>15</sup>N<sub>NO3+NO2</sub> reported here for the TONGA study are publicly available (<xref ref-type="bibr" rid="B46">Knapp and Forrer, 2023</xref>).</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Water column profiles of [NO<sub>3</sub>
<sup>-</sup>+NO<sub>2</sub>
<sup>-</sup>] and &#x3b4;<sup>15</sup>N<sub>NO3+NO2</sub> vs. depth of samples from the 2019 and 2020 TONGA cruises <bold>(A, B)</bold> and vs. potential density <bold>(C, D)</bold>. Error bars represent &#xb1;1 S.D. and are often smaller than the symbol size.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-10-1249115-g003.tif"/>
</fig>
</sec>
<sec id="s4_2">
<label>4.2</label>
<title>PN<sub>sink</sub> flux and &#x3b4;15N</title>
<p>The PN<sub>sink</sub> flux collected in the shallow short-term drifting traps was calculated to be 350 &#xb5;mol N m<sup>-2</sup> d<sup>-1</sup> (170 m, station 5a-2019), 436 &#x3bc;mol N m<sup>-2</sup> d<sup>-1</sup> (270 m, station 5a-2019), and 693 &#x3bc;mol N m<sup>-2</sup> d<sup>-1</sup> (270 m, station 10a-2019) (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). Further, the average (&#xb1; 1 S.D.) &#x3b4;<sup>15</sup>N<sub>PNsink</sub> was -0.5 &#xb1; 3.5&#x2030; and -0.2 &#xb1; 1.9&#x2030; at 170 m and 270 m at station 5a-2019, respectively, and -0.6 &#xb1; 2.3&#x2030; at 270 m at station 10a-2019 (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>) (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>). In comparison, the annual average PN<sub>sink</sub> flux collected in the long-term 1000 m PPS5 moored trap at station 12-2019/4-2020 was an order of magnitude lower, 16.5 &#xb1; 14.3 &#x3bc;mol N m<sup>-2</sup> d<sup>-1</sup>, and had a higher annual mass-weighted average (&#xb1; 1 S.D.) &#x3b4;<sup>15</sup>N<sub>PNsink</sub>, 3.4 &#xb1; 1.9&#x2030;, compared to the shallower, short-term traps (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>) (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>).</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>The mass and isotopic composition of the sinking particulate N (PN<sub>sink</sub>) flux captured in the short-term PIT and long-term PPS5 traps, and results of the &#x3b4;<sup>15</sup>N budgets.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center"/>
<th valign="middle" align="center">Stn.</th>
<th valign="middle" align="center">Lon.</th>
<th valign="middle" align="center">Trap depth<break/>(m)</th>
<th valign="middle" align="center">Time (days)*</th>
<th valign="middle" align="center">Season<sup>1</sup>
</th>
<th valign="middle" align="center">Av. PN<sub>sink</sub> flux<break/>(&#xb5;mol N m<sup>-2</sup> d<sup>-1</sup>)<sup>2</sup>
</th>
<th valign="middle" align="center">Av. &#x3b4;<sup>15</sup>N<sub>PNsink</sub>
<sup>2</sup>
<break/>(&#x2030;)</th>
<th valign="middle" align="center">&#x3b4;<sup>15</sup>N<sub>NO3+NO2</sub> end-member range<sup>3</sup>
<break/>(&#x2030;)</th>
<th valign="middle" align="center">f<sub>nfix</sub>
<sup>4</sup>
<break/>(%)</th>
<th valign="middle" align="center">R<sub>nfix</sub>
<sup>4</sup>
<break/>(&#xb5;mol N m<sup>-2</sup> d<sup>-1</sup>)</th>
<th valign="middle" align="center">Bottle-based av. N<sub>2</sub> fix rate<sup>2</sup>
<break/>(&#xb5;mol N m<sup>-2</sup> d<sup>-1</sup>)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" rowspan="7" align="center">
<bold>TONGA</bold>
<break/>(this study)</td>
<td valign="top" align="center">5-2019 (LB)</td>
<td valign="top" align="center">175.9&#xb0;W</td>
<td valign="top" align="center">170</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">Late<break/>Spring</td>
<td valign="top" align="center">350</td>
<td valign="top" align="center">-0.5 &#xb1; 3.5</td>
<td valign="top" align="center">1.2 &#x2013; 2.2</td>
<td valign="top" align="center">77 to 84 &#xb1; 159</td>
<td valign="top" align="center">282 &#xb1; 550</td>
<td valign="top" align="center">1942 &#xb1; 1212<sup>6</sup>
</td>
</tr>
<tr>
<td valign="top" align="center">5-2019 (LB)</td>
<td valign="top" align="center">175.9&#xb0;W</td>
<td valign="top" align="center">270</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">Late<break/>Spring</td>
<td valign="top" align="center">436</td>
<td valign="top" align="center">-0.2 &#xb1; 1.9</td>
<td valign="top" align="center">1.2 &#x2013; 2.2</td>
<td valign="top" align="center">64 to 76 &#xb1; 86</td>
<td valign="top" align="center">331 &#xb1; 375</td>
<td valign="top" align="center">1942 &#xb1; 1212<sup>6</sup>
</td>
</tr>
<tr>
<td valign="top" align="center">10-2019 (LB)</td>
<td valign="top" align="center">175.2&#xb0;W</td>
<td valign="top" align="center">270</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">Late<break/>Spring</td>
<td valign="top" align="center">693</td>
<td valign="top" align="center">-0.6 &#xb1; 2.3</td>
<td valign="top" align="center">3.6 &#x2013; 4.7</td>
<td valign="top" align="center">90 to 92 &#xb1; 50</td>
<td valign="top" align="center">638 &#xb1; 347</td>
<td valign="top" align="center">2047 &#xb1; 566<sup>6</sup>
</td>
</tr>
<tr>
<td valign="middle" rowspan="4" align="center">12-2019/4-2020 <sup>5</sup> (LB)</td>
<td valign="middle" rowspan="4" align="center">177.9&#xb0;W</td>
<td valign="middle" rowspan="4" align="center">1000</td>
<td valign="middle" rowspan="4" align="center">360</td>
<td valign="middle" align="center">Spring</td>
<td valign="middle" align="center">8.5 &#xb1; 8.5</td>
<td valign="middle" align="center">2.9 &#xb1; 0.5<sup>9</sup>
</td>
<td valign="middle" rowspan="4" align="center">2.4<sup>7</sup> &#x2013; 4.6<sup>8</sup>
</td>
<td valign="middle" align="center">0 to 37 &#xb1; 21<sup>9</sup>
</td>
<td valign="middle" align="center">-<sup>10</sup>
</td>
<td valign="middle" align="center">-<sup>10</sup>
</td>
</tr>
<tr>
<td valign="middle" align="center">Summer</td>
<td valign="middle" align="center">30.9 &#xb1; 11.0</td>
<td valign="middle" align="center">1.5 &#xb1; 0.7<sup>9</sup>
</td>
<td valign="middle" align="center">12 to 64 &#xb1; 29<sup>9</sup>
</td>
<td valign="middle" align="center">-<sup>10</sup>
</td>
<td valign="middle" align="center">-<sup>10</sup>
</td>
</tr>
<tr>
<td valign="middle" align="center">Autumn</td>
<td valign="middle" align="center">17.0 &#xb1; 15.4</td>
<td valign="middle" align="center">3.3 &#xb1; 1.7<sup>9</sup>
</td>
<td valign="middle" align="center">0 to 43 &#xb1; 69<sup>9</sup>
</td>
<td valign="middle" align="center">-<sup>10</sup>
</td>
<td valign="middle" align="center">-<sup>10</sup>
</td>
</tr>
<tr>
<td valign="middle" align="center">Winter</td>
<td valign="middle" align="center">8.0 &#xb1; 9.0</td>
<td valign="middle" align="center">5.9 &#xb1; 1.1<sup>9</sup>
</td>
<td valign="middle" align="center">0 &#xb1; 18<sup>9</sup>
</td>
<td valign="middle" align="center">-<sup>10</sup>
</td>
<td valign="middle" align="center">-<sup>10</sup>
</td>
</tr>
<tr>
<td valign="middle" rowspan="3" align="center">
<bold>OUTPACE</bold>
<break/>(<xref ref-type="bibr" rid="B42">Knapp et&#xa0;al., 2018</xref>)</td>
<td valign="middle" align="center">A<break/>(MW)</td>
<td valign="middle" align="center">163.6 &#xb0;E</td>
<td valign="middle" align="center">150</td>
<td valign="middle" align="center">5</td>
<td valign="middle" align="center">Late summer</td>
<td valign="middle" align="center">303</td>
<td valign="middle" align="center">0.6 &#xb1; 1</td>
<td valign="middle" align="center">7.0 &#x2013; 8.4</td>
<td valign="middle" align="center">80 to 83 &#xb1; 13</td>
<td valign="middle" align="center">254 &#xb1; 50</td>
<td valign="middle" align="center">593 &#xb1; 5<sup>11</sup>
</td>
</tr>
<tr>
<td valign="middle" align="center">B<break/>(SPG)</td>
<td valign="middle" align="center">170.7&#xb0;W</td>
<td valign="middle" align="center">150</td>
<td valign="middle" align="center">5</td>
<td valign="middle" align="center">Autumn</td>
<td valign="middle" align="center">30</td>
<td valign="middle" align="center">3.1 &#xb1; 1</td>
<td valign="middle" align="center">7.2 &#x2013; 8.3</td>
<td valign="middle" align="center">50 to 56 &#xb1; 12</td>
<td valign="middle" align="center">16 &#xb1; 6</td>
<td valign="middle" align="center">706 &#xb1; 302<sup>11</sup>
</td>
</tr>
<tr>
<td valign="middle" align="center">C<break/>(SPG)</td>
<td valign="middle" align="center">165.8&#xb0;W</td>
<td valign="middle" align="center">150</td>
<td valign="middle" align="center">5</td>
<td valign="middle" align="center">Autumn</td>
<td valign="middle" align="center">47</td>
<td valign="middle" align="center">7.7 &#xb1; 1</td>
<td valign="middle" align="center">7.0 &#x2013; 8.4</td>
<td valign="middle" align="center">0 to 8 &#xb1; 11</td>
<td valign="middle" align="center">5 &#xb1; 5</td>
<td valign="middle" align="center">59 &#xb1; 16<sup>11</sup>
</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>
<sup>1</sup> Austral seasons divided into: Spring (September, October, November), Summer (December, January, February), Autumn (March, April, May), Winter (June, July, August).</p>
</fn>
<fn>
<p>
<sup>2</sup> average &#xb1; 1 S.D.</p>
</fn>
<fn>
<p>
<sup>3</sup> Subsurface &#x3b4;<sup>15</sup>N<sub>NO3+NO2.</sub>
</p>
</fn>
<fn>
<p>
<sup>4</sup> See Methods section 2.6.</p>
</fn>
<fn>
<p>
<sup>5</sup> Samples collected bimonthly, then seasonally averaged.</p>
</fn>
<fn>
<p>
<sup>6</sup> <xref ref-type="bibr" rid="B51">Lory et&#xa0;al., 2023</xref>.</p>
</fn>
<fn>
<p>
<sup>7</sup> Shallow subsurface &#x3b4;<sup>15</sup>N<sub>NO3+NO2</sub> minima end-member for station 12-2019 and 4-2020.</p>
</fn>
<fn>
<p>
<sup>8</sup> Average SPSTUW &#x3b4;<sup>15</sup>N<sub>NO3+NO2</sub> end-member at station 4-2020. Note, sampling resolution at station 12-2019 did not include SPSTUW.</p>
</fn>
<fn>
<p>
<sup>9</sup> Mass-weighted average values for each season.</p>
</fn>
<fn>
<p>
<sup>10</sup> No data.</p>
</fn>
<fn>
<p>
<sup>11</sup> <xref ref-type="bibr" rid="B19">Caffin et&#xa0;al., 2018</xref>
</p>
<p>The table includes the range in the &#x3b4;<sup>15</sup>N<sub>NO3+NO2</sub> end-member, fraction of export production supported by N<sub>2</sub> fixation (&#x201c;f<sub>nfix</sub>&#x201d;) and N<sub>2</sub> fixation rate determined by multiplying the PN<sub>sink</sub> flux by f<sub>nfix</sub> for the TONGA (this study) and OUTPACE (<xref ref-type="bibr" rid="B42">Knapp et&#xa0;al., 2018</xref>) projects. Uncertainty in f<sub>nfix</sub> and R<sub>nfix</sub> reflects both the range in &#x3b4;<sup>15</sup>N<sub>NO3+NO2</sub> end-member as well as the standard deviation of the PN<sub>sink</sub> &#x3b4;<sup>15</sup>N measurements.*Trap deployment time.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Bimonthly measurements of PN<sub>sink</sub> flux and &#x3b4;<sup>15</sup>N<sub>PNsink</sub> from the 1000 m trap deployed at station 12-2019/station 4-2020 between November 2019 to October 2020. Circle color corresponds to the season when the majority of the PN<sub>sink</sub> was collected over bimonthly sampling intervals and circle size corresponds to PN<sub>sink</sub> flux magnitude (&#x3bc;mol N m<sup>-2</sup> d<sup>-1</sup>). Each measurement is plotted at the end date of the two-week sampling interval. The &#x3b4;<sup>15</sup>N<sub>Nfix</sub> end-member (-1&#x2030;) is represented by the dotted black line and the low &#x3b4;<sup>15</sup>N<sub>NO3+NO2</sub> end-member at station 12-2019 and 4-2020 (2.4&#x2030;) and average SPSTUW &#x3b4;<sup>15</sup>N<sub>NO3+NO2</sub> end-member at station 4-2020 (4.6&#x2030;) are represented by the dashed and solid lines, respectively. Data available in <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S1</bold>
</xref>.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-10-1249115-g004.tif"/>
</fig>
<p>The seasonal average (&#xb1; 1 S.D.) PN<sub>sink</sub> fluxes collected in the deep, moored trap were higher in the austral summer and autumn, at 30.9 &#xb1; 11.0 &#x3bc;mol N m<sup>-2</sup> d<sup>-1</sup> and 17.0 &#xb1; 15.4 &#x3bc;mol N m<sup>-2</sup> d<sup>-1</sup>, respectively, compared to the average austral winter and spring PN<sub>sink</sub> fluxes of 8.0 &#xb1; 9.0 &#x3bc;mol N m<sup>-2</sup> d<sup>-1</sup> and 8.5 &#xb1; 8.5 &#x3bc;mol N m<sup>-2</sup> d<sup>-1</sup>, respectively (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>) (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>). The average, mass-weighted (&#xb1; 1 S.D.) summer &#x3b4;<sup>15</sup>N<sub>PNsink</sub> from the 1000 m PPS5 moored trap, 1.5 &#xb1; 0.7&#x2030;, was lower than the wintertime average of 5.9 &#xb1; 1.1&#x2030;, while the average (&#xb1; 1 S.D.) spring and autumn mass-weighted &#x3b4;<sup>15</sup>N<sub>PNsink</sub>, 2.9 &#xb1; 0.5&#x2030; and 3.3 &#xb1; 1.7&#x2030;, respectively, were intermediate between summer and winter values.</p>
</sec>
<sec id="s4_3" sec-type="results">
<label>4.3</label>
<title>Results of the &#x3b4;<sup>15</sup>N budget</title>
<p>The &#x3b4;<sup>15</sup>N budget described above compares the &#x3b4;<sup>15</sup>N of the primary form of N exported from the euphotic zone, &#x3b4;<sup>15</sup>N<sub>PNsink</sub>, with the &#x3b4;<sup>15</sup>N of the two input terms, subsurface NO<sub>3</sub>
<sup>-</sup>+NO<sub>2</sub>
<sup>-</sup> and N<sub>2</sub> fixation. This provides a geochemically-derived estimate of the fractional contribution of N<sub>2</sub> fixation to export production (f<sub>nfix</sub>) as well as rate of N<sub>2</sub> fixation (R<sub>nfix</sub>). Given that the subsurface &#x3b4;<sup>15</sup>N<sub>NO3+NO2</sub> source is difficult to constrain, we evaluate the shallow &#x3b4;<sup>15</sup>N budgets using the shallowest subsurface &#x3b4;<sup>15</sup>N<sub>NO3+NO2</sub> minima as well as the sample immediately below the minima (<xref ref-type="bibr" rid="B43">Knapp et&#xa0;al., 2021</xref>), while the &#x3b4;<sup>15</sup>N budget using the deep trap PN<sub>sink</sub> flux uses the average subsurface &#x3b4;<sup>15</sup>N<sub>NO3+NO2</sub> minima at station 12-2019/4-2020 and the average SPSTUW &#x3b4;<sup>15</sup>N<sub>NO3+NO2</sub> at station 4-2020. At the shallow trap stations in close proximity to the hydrothermal vents, the subsurface &#x3b4;<sup>15</sup>N<sub>NO3+NO2</sub> ranged from 1.2 to 2.2&#x2030; and  3.6 to 4.7&#x2030; at stations 5-2019 and 10-2019, respectively, while at the deep mooring (station 12-2019/4-2020) the average subsurface &#x3b4;<sup>15</sup>N<sub>NO3+NO2</sub> minima and SPSTUW &#x3b4;<sup>15</sup>N<sub>NO3+NO2</sub> were 2.4&#x2030; and 4.6&#x2030;, respectively (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). Additional uncertainty in the &#x3b4;<sup>15</sup>N budgets includes the standard deviation of the &#x3b4;<sup>15</sup>N<sub>PNsink</sub> analysis (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). The &#x3b4;<sup>15</sup>N value for N<sub>2</sub> fixation, (&#x3b4;<sup>15</sup>N<sub>Nfix</sub>) of -1&#x2030; is based on literature reports of diazotrophic biomass &#x3b4;<sup>15</sup>N (<xref ref-type="bibr" rid="B38">Hoering and Ford, 1960</xref>; <xref ref-type="bibr" rid="B59">Minagawa and Wada, 1986</xref>; <xref ref-type="bibr" rid="B24">Carpenter et&#xa0;al., 1997</xref>) (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). Comparing these values with the &#x3b4;<sup>15</sup>N<sub>PNsink</sub>, we calculate that at station 5-2019, the f<sub>nfix</sub> ranged from 77 to 84 &#xb1; 159% for the 170 m trap, while the f<sub>nfix</sub> ranged from 64 to 76 &#xb1; 86% at the 270 m trap (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). At station 10-2019, the f<sub>nfix</sub> at the 270 m trap ranged from 90 to 92 &#xb1; 50% (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). We further calculate a geochemically derived R<sub>nfix</sub> of 282 &#xb1; 550 &#xb5;mol N m<sup>-2</sup> d<sup>-1</sup> and 331 &#xb1; 375 &#xb5;mol N m<sup>-2</sup> d<sup>-1</sup> for the 170 m and 270 m traps deployed at station 5-2019, respectively, and 638 &#xb1; 347 &#xb5;mol N m<sup>-2</sup> d<sup>-1</sup> for the 270 m trap deployed at station 10-2019 (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). The &#x3b4;<sup>15</sup>N budget calculated for the moored trap at station 12-2019/4-2020 (note that the trap is deeper, i.e. 1000 m instead of 170 &#x2013; 270 m for the drifting ones) yielded a mass-weighted f<sub>nfix</sub> of 12 to 64 &#xb1; 29% (average = 42 &#xb1; 13%) for the summer, while the spring and autumn had similar but lower mass-weighted f<sub>nfix</sub> of 0 to 37 &#xb1; 21% (average = 0 &#xb1; 29%) and 0 to 43 &#xb1; 69% (average = 12 &#xb1; 36%), respectively, and winter had a mass-weighted f<sub>nfix</sub> of 0 &#xb1; 18%. These f<sub>nfix</sub> values indicate that the highest contribution of N<sub>2</sub> fixation to export production collected at 1000 m was during the summer, followed by autumn and spring. Due to significant PN<sub>sink</sub> flux attenuation with depth (<xref ref-type="bibr" rid="B56">Martin et&#xa0;al., 1987</xref>), we do not calculate a R<sub>nfix</sub> for the moored trap data.</p>
</sec>
</sec>
<sec id="s5" sec-type="discussion">
<label>5</label>
<title>Discussion</title>
<sec id="s5_1">
<label>5.1</label>
<title>TONGA &#x3b4;<sup>15</sup>N budgets reflect high rates of N<sub>2</sub> fixation in the WTSP</title>
<p>The results of the short-term &#x3b4;<sup>15</sup>N budgets suggest that N<sub>2</sub> fixation rates were high (282 to 638 &#x3bc;mol N m<sup>-2</sup> d<sup>-1</sup>) near the hydrothermal vents at the time of the 2019 cruise. While there are notable differences in the magnitude of these geochemically-derived N<sub>2</sub> fixation rates and the bottle-based <sup>15</sup>N<sub>2</sub> uptake rates reported by <xref ref-type="bibr" rid="B51">Lory et&#xa0;al., 2023</xref>, we consider these results to be broadly consistent with one another, as well as consistent with estimates of diazotroph abundance measured contemporaneously (<xref ref-type="bibr" rid="B12">Bonnet et&#xa0;al., 2023b</xref>). Specifically, bottle-based <sup>15</sup>N<sub>2</sub> uptake rates were 3 to 7 times higher than the R<sub>nfix</sub> estimated from the &#x3b4;<sup>15</sup>N budget (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>); however, both rate estimates are at the upper-end typically reported by each technique (<xref ref-type="bibr" rid="B36">Gruber, 2004</xref>; <xref ref-type="bibr" rid="B22">Capone et&#xa0;al., 2005</xref>; <xref ref-type="bibr" rid="B26">Casciotti et&#xa0;al., 2008</xref>; <xref ref-type="bibr" rid="B52">Luo et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B44">Knapp et&#xa0;al., 2016a</xref>) and align with previous work from the region (<xref ref-type="bibr" rid="B63">Montoya et&#xa0;al., 2004</xref>; <xref ref-type="bibr" rid="B7">Berthelot et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B10">Bonnet et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B42">Knapp et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B70">Shao et al., 2023</xref>). Prior work investigating N<sub>2</sub> fixation&#x2019;s contribution to export production has attributed discrepancies between these two metrics to potential sediment trap under collection of exported material (<xref ref-type="bibr" rid="B44">Knapp et&#xa0;al., 2016a</xref>; <xref ref-type="bibr" rid="B13">B&#xf6;ttjer et&#xa0;al., 2017</xref>, <xref ref-type="bibr" rid="B42">Knapp et&#xa0;al., 2018</xref>), alternate sources of fixed N to the euphotic zone including horizontal advection (<xref ref-type="bibr" rid="B13">B&#xf6;ttjer et&#xa0;al., 2017</xref>), phytoplankton bloom stage as well as temporal delay between organic matter formation and capture by the sediment trap (<xref ref-type="bibr" rid="B82">de Verneil et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B19">Caffin et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B42">Knapp et&#xa0;al., 2018</xref>), and bottle-based <sup>15</sup>N<sub>2</sub> incubations with their associated methodological considerations (i.e., bottle effects) (<xref ref-type="bibr" rid="B88">White et&#xa0;al., 2020</xref>). Additionally, our &#x3b4;<sup>15</sup>N budgets should be considered a lower bound for estimated N<sub>2</sub> fixation rates because of the mixing-model&#x2019;s inherent assumption that the only fate of newly fixed N is to be balanced by the sinking flux, and that no newly fixed N is released to the dissolved pool, which is likley unrealistic (<xref ref-type="bibr" rid="B23">Capone et&#xa0;al., 1994</xref>; <xref ref-type="bibr" rid="B35">Glibert &amp; Bronk, 1994</xref>; <xref ref-type="bibr" rid="B66">Mulholland and Capone, 2004</xref>; <xref ref-type="bibr" rid="B9">Bonnet et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B45">Knapp et&#xa0;al., 2016b</xref>). Further, the trap depth used here, 170 m, is below the base of the mixed layer, and thus underestimates new/export production. While euphotic zone nitrification is a source of low-&#x3b4;<sup>15</sup>N<sub>NO3</sub> that could lead to an overestimation of N<sub>2</sub> fixation supported export production, rates of euphotic zone nitrification from this and other similar oligotrophic regions are low (&lt;10 nmol L<sup>-1</sup> d<sup>-1</sup>) (<xref ref-type="bibr" rid="B74">Smith et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B69">Raes et&#xa0;al., 2020</xref>) compared to the very high rates of N<sub>2</sub> fixation using multiple metrics in this study. This therefore suggests that N<sub>2</sub> fixation is the dominant mechanism generating the low-&#x3b4;<sup>15</sup>N<sub>PNSink</sub> signal observed.</p>
<p>Regardless of the mechanism(s) driving these discrepancies, both the &#x3b4;<sup>15</sup>N budget and <sup>15</sup>N<sub>2</sub> uptake rate estimates are also consistent with the elevated diazotroph abundances (<xref ref-type="bibr" rid="B11">Bonnet et&#xa0;al., 2023a</xref>; <xref ref-type="bibr" rid="B51">Lory et&#xa0;al., 2023</xref>) observed on the 2019 TONGA cruise (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref>). Here we compare averages of biological and geochemical metrics associated with N<sub>2</sub> fixation for the three hydrographic regions, MW, the LB, and the SPG (defined in Section 2.1). While results from the qPCR analysis targeting <italic>nifH</italic> genes indicate that <italic>Trichodesmium</italic> spp. and UCYN-A dominated the diazotroph assemblage in the upper 50 m across the TONGA transect, <italic>Trichodesmium</italic> spp. were most abundant in the LB near the hydrothermal vents (average 1.0x10<sup>7</sup> gene copies L<sup>-1</sup>), followed by UCYN-A (average 3.0x10<sup>6</sup> gene copies L<sup>-1</sup>) (<xref ref-type="fig" rid="f5">
<bold>Figures&#xa0;5A, B</bold>
</xref>). These exceptionally high abundances of <italic>Trichodesmium</italic> spp. and UCYN-A were on the order of one to four times higher than previous studies (e.g., <xref ref-type="bibr" rid="B91">Zehr &amp; Turner, 2001</xref>; <xref ref-type="bibr" rid="B60">Moisander et&#xa0;al., 2010</xref>; <xref ref-type="bibr" rid="B81">Turk-Kubo et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B61">Moisander et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B3">Benavides et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B4">Benavides et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B28">Confesor et&#xa0;al., 2022</xref>). Notably, the highest regionally-averaged, trapezoidally-integrated upper 50 m <sup>15</sup>N<sub>2</sub> uptake rates were found in the LB (1038 &#xb1; 600 &#xb5;mol N m<sup>-2</sup> d<sup>-1</sup>), where <italic>Trichodesmium</italic> spp. were most abundant and where the lowest regionally-averaged &#x3b4;<sup>15</sup>N<sub>NO3+NO2</sub> subsurface minima of 2.8&#xa0;&#xb1; 1.5&#x2030; (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5F</bold>
</xref>) was observed between 100 and 200 m. This underscores the potential significance of <italic>Trichodesmium</italic> spp. supporting N<sub>2</sub> fixation near the hydrothermal vents. UCYN-A was the dominant diazotroph in the upper 50 m in MW and the SPG, with regional averages of 2.5x10<sup>8</sup> gene copies L<sup>-1</sup> and 3.1x10<sup>8</sup> gene copies L<sup>-1</sup>, respectively, followed by <italic>Trichodesmium</italic> spp., with regional averages of 3.0x10<sup>5</sup> and 3.7x10<sup>5</sup> gene copies L<sup>-1</sup>, respectively. Average abundances of UCYN-B (2.6x10<sup>4</sup> to 3.2x10<sup>5</sup> gene copies L<sup>-1</sup>), UCYN-C (4.3x10<sup>1</sup> to 1.7x10<sup>2</sup> gene copies L<sup>-1</sup>) and Gamma proteobacteria (5.4x10<sup>3</sup> to 9.9x10<sup>3</sup> gene copies L<sup>-1</sup>) remained comparatively low across the transect (<xref ref-type="fig" rid="f5">
<bold>Figures&#xa0;5C&#x2013;E</bold>
</xref>), but were similar in magnitude to previous studies in the region (<xref ref-type="bibr" rid="B61">Moisander et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B3">Benavides et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B4">Benavides et&#xa0;al., 2020</xref>). Although UCYN-A have extremely high gene abundances and dominate the upper 50 m in MW and the SPG, the trapezoidally-integrated upper 50 m <sup>15</sup>N<sub>2</sub> uptake rates were lower than in the LB, 713 &#xb1; 691 and 537 &#xb1; 629 &#xb5;mol N m<sup>-2</sup> d<sup>-1</sup>, respectively, and were associated with a higher regional average &#x3b4;<sup>15</sup>N<sub>NO3+NO2</sub> subsurface minima of 4.4 &#xb1; 1.2&#x2030; and 5.5 &#xb1; 1.9&#x2030;, respectively, observed between 100 to 200 m (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5F</bold>
</xref>). While care should be taken when relating <italic>nifH</italic> gene copies to diazotroph biomass, these gene copy abundances broadly correspond to elevated diazotroph abundances (<xref ref-type="bibr" rid="B58">Meiler et&#xa0;al., 2022</xref>) and confirm the significance of diazotrophy in the region.</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Box plots of the upper 50 m <italic>nifH</italic> gene abundances (gene copies L<sup>-1</sup>) from <xref ref-type="bibr" rid="B11">Bonnet et&#xa0;al., 2023a</xref> and <xref ref-type="bibr" rid="B51">Lory et&#xa0;al., 2023</xref> for the hydrographic regions of MW, the LB and the SPG for <bold>(A)</bold> <italic>Trichodesmium</italic> spp., <bold>(B)</bold> UCYN-A, <bold>(C)</bold> UCYN-B, <bold>(D)</bold> UCYN-C, and <bold>(E)</bold> Gamma proteobacteria, as well as (F) box plots of the regional average, trapezoidally-integrated upper 50 m <sup>15</sup>N<sub>2</sub> fixation rates from <xref ref-type="bibr" rid="B51">Lory et&#xa0;al., 2023</xref>, with the corresponding regional average 90 to 195 m &#x3b4;<sup>15</sup>N<sub>NO3+NO2</sub> (blue triangles). The open circles associated with the box plots indicate outliers.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-10-1249115-g005.tif"/>
</fig>
</sec>
<sec id="s5_2">
<label>5.2</label>
<title>N<sub>2</sub> fixation is an important source of N supporting export production in the WTSP</title>
<p>The agreement between the geochemically-derived N<sub>2</sub> fixation rates, <sup>15</sup>N<sub>2</sub> uptake rates and diazotroph abundances together indicate that export production in the WTSP at the time of this study was driven by N<sub>2</sub> fixation (<xref ref-type="bibr" rid="B12">Bonnet et&#xa0;al., 2023b</xref>). This is in contrast to prior work in other oligotrophic regions where the majority of export was supported by subsurface NO<sub>3</sub>
<sup>-</sup>, even when N<sub>2</sub> fixation inputs were high (<xref ref-type="bibr" rid="B26">Casciotti et&#xa0;al., 2008</xref>; <xref ref-type="bibr" rid="B14">Bourbonnais et&#xa0;al., 2009</xref>; <xref ref-type="bibr" rid="B87">White et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B13">B&#xf6;ttjer et&#xa0;al., 2017</xref>). The shallow sediment traps deployed for the TONGA project indicate that N<sub>2</sub> fixation supports a majority of export production (f<sub>nfix</sub> = 64 to 92%) near the hydrothermal vents, at least in the late spring (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>; <xref ref-type="fig" rid="f6">
<bold>Figures&#xa0;6A, B</bold>
</xref>). These f<sub>nfix</sub> values are similar to those calculated from the previous OUTPACE campaign during the late summer/early autumn in MW (station A, 80 to 83 &#xb1; 13%), and near the Tonga-Kermadec Arc (station B, 50 to 56 &#xb1; 12%) (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>; <xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6C</bold>
</xref>) (<xref ref-type="bibr" rid="B42">Knapp et&#xa0;al., 2018</xref>). The high f<sub>nfix</sub> values reported here from the short-term traps deployed at TONGA Stations 5 and 10 replicate a geochemical signature that has not been observed outside of the WTSP, underscoring the significance of N<sub>2</sub> fixation regionally (<xref ref-type="bibr" rid="B12">Bonnet et&#xa0;al., 2023b</xref>). We also emphasize the potential for the f<sub>nfix</sub> from our &#x3b4;<sup>15</sup>N budgets to underestimate the importance of N<sub>2</sub> fixation to export due to the mixing-model&#x2019;s inherent assumption that the only fate of newly fixed N is the PN<sub>sink</sub> flux captured by the sediment traps, as opposed to being released and persisting as dissolved organic nitrogen (<xref ref-type="bibr" rid="B23">Capone et&#xa0;al., 1994</xref>; <xref ref-type="bibr" rid="B35">Glibert and Bronk, 1994</xref>).</p>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>The fraction of N<sub>2</sub> fixation-supported export production in the austral spring at <bold>(A)</bold> TONGA station 5-2019, and, <bold>(B)</bold> TONGA station 10-2019, compared with <bold>(C)</bold> results from the austral late summer/early autumn at OUTPACE stations<bold>( A-C)</bold> Each panel includes water column profiles of &#x3b4;<sup>15</sup>N<sub>NO3+NO2</sub> for samples from the 2019 and 2020 TONGA cruises in color and the OUTPACE cruise in grey and the associated &#x3b4;<sup>15</sup>N budget terms, including the sediment trap &#x3b4;<sup>15</sup>N<sub>PNsink</sub> (inverted triangles and open circle and square), the &#x3b4;<sup>15</sup>N<sub>Nfix</sub> (vertical dashed line) and ranges in subsurface &#x3b4;<sup>15</sup>N<sub>NO3+NO2,</sub> which are represented by the orange shaded region in <bold>(A)</bold>, blue shaded region in <bold>(B)</bold>, and steel-grey shaded region in <bold>(C)</bold> (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). The fractional contribution of N<sub>2</sub> fixation to export production is indicated by the grey shading and the corresponding fraction is indicated along the bottom of each panel.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-10-1249115-g006.tif"/>
</fig>
<p>While the results of the short-term &#x3b4;<sup>15</sup>N budgets from both the TONGA and OUTPACE campaigns found that N<sub>2</sub> fixation supports the majority of export production in the late spring, late summer, and early autumn in the LB and MW, we also consider the &#x3b4;<sup>15</sup>N<sub>PNsink</sub> collected in the deep, moored trap at station 12-2019/4-2020 in the LB to evaluate this trend over an annual cycle (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>). Unsurprisingly, the mass flux collected in the shallower, short-term PIT traps was higher and the &#x3b4;<sup>15</sup>N<sub>PNsink</sub> was lower than that collected in the deeper, moored trap. However, we note that the moored trap was deployed ~200 km west of the shallow traps and hydrothermal vents (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>) (<xref ref-type="fig" rid="f1">
<bold>Figures&#xa0;1</bold>
</xref>, <xref ref-type="fig" rid="f4">
<bold>4</bold>
</xref>), and the conical shape of the PPS5 has been observed to undersample (<xref ref-type="bibr" rid="B2">Baker et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B80">Tilliette et al., 2023</xref>). The &#x3b4;<sup>15</sup>N<sub>PNsink</sub> in the shallow PIT traps collected in the late spring at stations 5-2019 and 10-2019 ranged from -0.2 to -0.6&#x2030; compared to a seasonal average &#x3b4;<sup>15</sup>N<sub>PNsink</sub> of 2.9 &#xb1; 0.5&#x2030; and 1.5 &#xb1; 0.7&#x2030; observed in the moored PPS5 trap during the spring and summer, respectively. We expect that the higher &#x3b4;<sup>15</sup>N<sub>PNsink</sub> found in the deeper moored trap likely resulted from the collection of PN<sub>sink</sub> from a larger surface area than the shallow short-term traps, where export production may have been supported by a mixture of N sources with higher &#x3b4;<sup>15</sup>N (<xref ref-type="bibr" rid="B71">Siegel and Deuser, 1997</xref>; <xref ref-type="bibr" rid="B72">Siegel et&#xa0;al., 2008</xref>). Additionally, horizontal advection of particles generated at locations not impacted by the shallow hydrothermal vents potentially decouples the euphotic zone diazotrophic abundance and/or importance from the PN collected in the moored trap (<xref ref-type="bibr" rid="B83">Waniek et&#xa0;al., 2000</xref>). Indeed, the exported material in the deep trap was observed to be compositionally different from that captured in the shallow, short-term traps, where the hydrothermal signature of the particles was less evident due to organic matter remineralization while being transported to depth (<xref ref-type="bibr" rid="B80">Tilliette et al., 2023</xref>). The associated distance and time components of sinking PN to the deep trap potentially underestimates the importance of N<sub>2</sub> fixation to export production. Similar flux and isotopic composition offsets have been observed between shallow and deep sediment traps in the ETSP (<xref ref-type="bibr" rid="B5">Berelson et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B44">Knapp et&#xa0;al., 2016a</xref>; <xref ref-type="bibr" rid="B80">Tilliette et al., 2023</xref>).</p>
<p>Since aerosol inputs to this region are minimal (<xref ref-type="bibr" rid="B37">Guieu et&#xa0;al., 2018</xref>), we expect that the seasonal variability of &#x3b4;<sup>15</sup>N<sub>PNsink</sub> in the deep, moored trap reflects shifts in the importance of N<sub>2</sub> fixation and subsurface NO<sub>3</sub>
<sup>-</sup> for supporting export production over seasonal timescales. In the deep trap, annual PN<sub>sink</sub> fluxes peaked in the summer (30.9 &#xb1; 11.0 &#x3bc;mol N m<sup>-2</sup> d<sup>-1</sup>), coinciding with the lowest average mass-weighted &#x3b4;<sup>15</sup>N<sub>PNsink</sub>, 1.5 &#xb1; 0.7&#x2030;, while the lowest PN<sub>sink</sub> fluxes were observed in the winter (8.0 &#xb1; 9.0 &#x3bc;mol N m<sup>-2</sup> d<sup>-1</sup>) and coincided with the highest average mass-weighted &#x3b4;<sup>15</sup>N<sub>PNsink</sub>, 5.9 &#xb1; 1.1&#x2030;, indicating that isotopically distinct N sources support export seasonally. Since there are steep gradients in both  [NO<sub>3</sub>
<sup>-</sup>+NO<sub>2</sub>
<sup>-</sup>] and &#x3b4;<sup>15</sup>N<sub>NO3+NO2</sub> with depth (<xref ref-type="fig" rid="f3">
<bold>Figures&#xa0;3</bold>
</xref>, <xref ref-type="fig" rid="f6">
<bold>6</bold>
</xref>), a higher winter &#x3b4;<sup>15</sup>N<sub>PNsink</sub> may reflect entrainment of a deeper NO<sub>3</sub>
<sup>-</sup>+NO<sub>2</sub>
<sup>-</sup> source (likely SPSTUW) with a higher &#x3b4;<sup>15</sup>N<sub>NO3+NO2</sub> due to winter mixing (<xref ref-type="bibr" rid="B65">Moutin et&#xa0;al., 2018</xref>). The net effect of a higher subsurface &#x3b4;<sup>15</sup>N<sub>NO3+NO2</sub> end-member would be to raise the estimated f<sub>nfix</sub> (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>) (<xref ref-type="bibr" rid="B13">B&#xf6;ttjer et&#xa0;al., 2017</xref>). As a result, the mass-weighted seasonal f<sub>nfix</sub> values for the deep trap range from 12 to 64 &#xb1; 29% in the summer and 0 &#xb1; 18% in the winter, describing a largely N<sub>2</sub> fixation supported export system in the summer. Further, since the majority of annual export is focused in the summer, and was supported by low-&#x3b4;<sup>15</sup>N N sources, we attribute an important fraction of annual export production and deep (&gt;1000 m) long-term C sequestration to N<sub>2</sub> fixation at station 12-2019/4-2020 (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>; <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>).</p>
<p>Considering the elevated chlorophyll <italic>a</italic> concentrations observed over a large area in this region ranging up to 360,000 km<sup>2</sup> (<xref ref-type="bibr" rid="B12">Bonnet et&#xa0;al., 2023b</xref>), and given the high R<sub>nfix</sub> and f<sub>nfix</sub> values estimated at station 5a-2019 and 10a-2019, along with the large fraction of N<sub>2</sub> fixation supported export production at station 12-2019/4-2020 over an annual timescale, the otherwise oligotrophic WTSP appears to be biogeochemically unique where N<sub>2</sub> fixation supports a large fraction of annual export production as a result of the influence of shallow hydrothermal vents. The significance of these regional N<sub>2</sub> fixation inputs in the WTSP are further pronounced in the gradients of water column &#x3b4;<sup>15</sup>N<sub>NO3+NO2</sub> both zonally as well as with depth (<xref ref-type="fig" rid="f3">
<bold>Figures&#xa0;3</bold>
</xref>, <xref ref-type="fig" rid="f6">
<bold>6</bold>
</xref>). In particular, &#x3b4;<sup>15</sup>N<sub>NO3+NO2</sub> between 150 and 400 m decreases from east to west (SPG to MW) across the zonal transect, and also decreases from ~400 m to shallower depths. These isotopic gradients reflect the accumulation of low-&#x3b4;<sup>15</sup>N N inputs in the upper thermocline to the west along this transect that are presumably associated with the remineralization of diazotrophic inputs (<xref ref-type="bibr" rid="B26">Casciotti et&#xa0;al., 2008</xref>; <xref ref-type="bibr" rid="B41">Knapp et&#xa0;al., 2008</xref>). This accumulation of low-&#x3b4;<sup>15</sup>N<sub>NO3+NO2</sub> in the upper 400 m of the WTSP erodes the elevated &#x3b4;<sup>15</sup>N<sub>NO3+NO2</sub> originating from dissimilatory NO<sub>3</sub>
<sup>-</sup> reduction occurring in the oxygen deficient zones of the ETSP (<xref ref-type="bibr" rid="B15">Bourbonnais et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B68">Peters et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B27">Casciotti et al., 2013</xref>), a geochemical signature that reflects basin-scale compensation of N losses in the east with N inputs in the west that is consistent with peloceanographic records (<xref ref-type="bibr" rid="B17">Brandes and Devol, 2002</xref>; <xref ref-type="bibr" rid="B31">Deutsch et&#xa0;al., 2004</xref>; <xref ref-type="bibr" rid="B85">Weber and Deutsch, 2014</xref>; <xref ref-type="bibr" rid="B42">Knapp et&#xa0;al., 2018</xref>).</p>
</sec>
</sec>
<sec id="s6" sec-type="conclusions">
<label>6</label>
<title>Conclusions</title>
<p>Here we report results of &#x3b4;<sup>15</sup>N budgets that compare subsurface &#x3b4;<sup>15</sup>N<sub>NO3+NO2</sub> with the &#x3b4;<sup>15</sup>N<sub>PNsink</sub> captured in short-term, shallow (170 and 270 m) PIT deployed near the hydrothermal vents of the Tonga-Kermadec Arc and long-term, deep (1000 m) moored PPS5 sediment traps deployed ~200 km west of the Arc. These results are evaluated in the context of <sup>15</sup>N<sub>2</sub> uptake rates (<xref ref-type="bibr" rid="B51">Lory et&#xa0;al., 2023</xref>) and <italic>nifH</italic> gene abundances (<xref ref-type="bibr" rid="B12">Bonnet et&#xa0;al., 2023b</xref>) collected contemporaneously, as well as with prior work from the region (<xref ref-type="bibr" rid="B42">Knapp et&#xa0;al., 2018</xref>). Results from the short-term, shallow &#x3b4;<sup>15</sup>N budgets indicate that N<sub>2</sub> fixation supports the majority, 64 to 92%, of export in late spring in the Lau Basin, while the mass-weighted, seasonally-averaged &#x3b4;<sup>15</sup>N budgets from deeper traps suggest that N<sub>2</sub> fixation supports 12 to 64% of export production and thus long-term C sequestration in the summer when the highest PN<sub>sink</sub> fluxes are observed. As the seasons progress into winter, export production becomes increasingly supported by subsurface NO<sub>3</sub>
<sup>-</sup>. The observations from this cruise as well as from the OUTPACE study (<xref ref-type="bibr" rid="B42">Knapp et&#xa0;al., 2018</xref>) are in contrast to other regions explored so far, where even significant N<sub>2</sub> fixation inputs do not support the majority of export (<xref ref-type="bibr" rid="B26">Casciotti et&#xa0;al., 2008</xref>; <xref ref-type="bibr" rid="B14">Bourbonnais et&#xa0;al., 2009</xref>; <xref ref-type="bibr" rid="B13">B&#xf6;ttjer et&#xa0;al., 2017</xref>), underscoring the significance of diazotrophy in the WTSP. While diazotroph abundance was high across the transect, <italic>Trichodesmium</italic> spp. <italic>nifH</italic> gene copies were highest in the vicinity of the hydrothermal vents, which appear shallow enough to meet the considerable Fe demands of primary productivity in general (<xref ref-type="bibr" rid="B79">Tilliette et&#xa0;al., 2022</xref>), and N<sub>2</sub> fixation in particular, in the region (<xref ref-type="bibr" rid="B12">Bonnet et&#xa0;al., 2023b</xref>), highlighting the sensitivity of N<sub>2</sub> fixation to Fe availability. These results suggest that the significant N<sub>2</sub> fixation inputs to the WTSP in the late spring, summer, and early autumn work to lower the elevated upper thermocline &#x3b4;<sup>15</sup>N<sub>NO3+NO2</sub> originating from dissimilatory NO<sub>3</sub>
<sup>-</sup> reduction in the oxygen deficient zones of the Eastern Tropical South Pacific.</p>
</sec>
<sec id="s7" 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 in the article/<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Material</bold>
</xref>.</p>
</sec>
<sec id="s8" sec-type="author-contributions">
<title>Author contributions</title>
<p>SB, CG, and AK designed the study. SB and CG carried out the sampling. HF and RT carried out the &#x3b4;<sup>15</sup>N<sub>NO3+NO2</sub> sample analysis and data aqusition. SB and OG carried out the &#x3b4;<sup>15</sup>N<sub>PNsink</sub> sample analysis and data aqusition. HF and AK wrote the first manuscript draft, which was then revised by all authors. All authors contributed to the article and approved the submitted version.</p>
</sec>
</body>
<back>
<sec id="s9" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This research is a contribution to the TONGA project (Shallow hydroThermal sOurces of trace elemeNts: potential impacts on biological productivity and the biological carbon pump; TONGA cruise <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.17600/18000884">https://doi.org/10.17600/18000884</ext-link>) funded by the Agence Nationale de la Recherche (grant TONGA ANR-18- CE01-0016), the LEFE-CyBER program (CNRS-INSU), the A-Midex foundation, the TGIR Flotte oc&#xe9;anographique fran&#xe7;aise, the Institut de Recherche pour le D&#xe9;veloppement (IRD). HF acknowledges funding from the Winchester Fund at Florida State University&#x2019;s EOAS Department. AK acknowledges NSF OCE-1829797 for supporting the nitrate isotopic analyses.</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>The authors warmly thank the captain and crew of the R/V L&#x2019;Atalante and R/V Alis (both TGIR Flotte, operated by IFREMER) for outstanding shipboard operations. Vincent Taillandier and Nagib Bhairy are thanked for the CTD rosettes management, and data processing, Sandra Nunige for nutrient analyses of the 2019 samples, Mary Dennis for her assistance with the &#x2018;denitrifier method&#x2019; at Florida State University, Caroline Lory for her assistance with the <sup>15</sup>N<sub>2</sub> fixation experiments and data aqusition and Nathalie Leblond (Cellule Pi&#xe8;ge INSU) for the treatment/splitting of the moored trap.</p>
</ack>
<sec id="s10" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s11" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec id="s12" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fmars.2023.1249115/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fmars.2023.1249115/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="Table_1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
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