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  <front>
    <journal-meta>
<journal-id journal-id-type="publisher">BG</journal-id>
<journal-title-group>
<journal-title>Biogeosciences</journal-title>
<abbrev-journal-title abbrev-type="publisher">BG</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">Biogeosciences</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1726-4189</issn>
<publisher><publisher-name>Copernicus Publications</publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>

    <article-meta>
      <article-id pub-id-type="doi">10.5194/bg-13-5003-2016</article-id><title-group><article-title>Fate of terrigenous organic matter across the Laptev Sea from the mouth of
the Lena River to the deep sea of the Arctic interior</article-title>
      </title-group><?xmltex \runningtitle{Fate of terrigenous organic matter across the Laptev Sea}?><?xmltex \runningauthor{L.~Br\"{o}der et al.}?>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes" rid="aff1 aff2">
          <name><surname>Bröder</surname><given-names>Lisa</given-names></name>
          <email>lisa.broder@aces.su.se</email>
        <ext-link>https://orcid.org/0000-0002-5454-7883</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1 aff2 aff3">
          <name><surname>Tesi</surname><given-names>Tommaso</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1 aff2">
          <name><surname>Salvadó</surname><given-names>Joan A.</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff4 aff5 aff6">
          <name><surname>Semiletov</surname><given-names>Igor P.</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff5 aff6">
          <name><surname>Dudarev</surname><given-names>Oleg V.</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1 aff2">
          <name><surname>Gustafsson</surname><given-names>Örjan</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-1922-0527</ext-link></contrib>
        <aff id="aff1"><label>1</label><institution>Department of Environmental Science and Analytical Chemistry, Stockholm University, Stockholm, Sweden</institution>
        </aff>
        <aff id="aff2"><label>2</label><institution>Bolin Centre for Climate Research, Stockholm University, Stockholm, Sweden</institution>
        </aff>
        <aff id="aff3"><label>3</label><institution>Institute of Marine Sciences – National Research Council, Bologna, Italy</institution>
        </aff>
        <aff id="aff4"><label>4</label><institution>International Arctic Research Center, University Alaska Fairbanks, Fairbanks, USA</institution>
        </aff>
        <aff id="aff5"><label>5</label><institution>Pacific Oceanological Institute, Russian Academy of Sciences, Vladivostok, Russia</institution>
        </aff>
        <aff id="aff6"><label>6</label><institution>Tomsk National Research Politechnical University, Tomsk, Russia</institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">Lisa Bröder (lisa.broder@aces.su.se)</corresp></author-notes><pub-date><day>9</day><month>September</month><year>2016</year></pub-date>
      
      <volume>13</volume>
      <issue>17</issue>
      <fpage>5003</fpage><lpage>5019</lpage>
      <history>
        <date date-type="received"><day>25</day><month>April</month><year>2016</year></date>
           <date date-type="rev-request"><day>18</day><month>May</month><year>2016</year></date>
           <date date-type="rev-recd"><day>26</day><month>August</month><year>2016</year></date>
           <date date-type="accepted"><day>30</day><month>August</month><year>2016</year></date>
      </history>
      <permissions>
<license license-type="open-access">
<license-p>This work is licensed under a Creative Commons Attribution 3.0 Unported License. To view a copy of this license, visit <ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/3.0/">http://creativecommons.org/licenses/by/3.0/</ext-link></license-p>
</license>
</permissions><self-uri xlink:href="https://bg.copernicus.org/articles/13/5003/2016/bg-13-5003-2016.html">This article is available from https://bg.copernicus.org/articles/13/5003/2016/bg-13-5003-2016.html</self-uri>
<self-uri xlink:href="https://bg.copernicus.org/articles/13/5003/2016/bg-13-5003-2016.pdf">The full text article is available as a PDF file from https://bg.copernicus.org/articles/13/5003/2016/bg-13-5003-2016.pdf</self-uri>


      <abstract>
    <p>Ongoing global warming in high latitudes may cause an increasing supply of
permafrost-derived organic carbon through both river discharge and coastal
erosion to the Arctic shelves. Mobilized permafrost carbon can be either
buried in sediments, transported to the deep sea or degraded to CO<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> and
outgassed, potentially constituting a positive feedback to climate change.</p>
    <p>This study aims to assess the fate of terrigenous organic carbon (TerrOC) in
the Arctic marine environment by exploring how it changes in concentration,
composition and degradation status across the wide Laptev Sea shelf. We
analyzed a suite of terrestrial biomarkers as well as source-diagnostic bulk
carbon isotopes (<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>13</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>C, <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="normal">Δ</mml:mi><mml:mn>14</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>C) in surface sediments from a
Laptev Sea transect spanning more than 800 km from the Lena River mouth
(&lt; 10 m water depth) across the shelf to the slope and rise
(2000–3000 m water depth). These data provide a broad view on different
TerrOC pools and their behavior during cross-shelf transport. The
concentrations of lignin phenols, cutin acids and high-molecular-weight (HMW)
wax lipids (tracers of vascular plants) decrease by 89–99 % along the
transect. Molecular-based degradation proxies for TerrOC (e.g., the carbon
preference index of HMW lipids, the HMW acids <inline-formula><mml:math display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> alkanes ratio and the
acid <inline-formula><mml:math display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> aldehyde ratio of lignin phenols) display a trend to more degraded
TerrOC with increasing distance from the coast. We infer that the degree of
degradation of permafrost-derived TerrOC is a function of the time spent
under oxic conditions during protracted cross-shelf transport. Future work
should therefore seek to constrain cross-shelf transport times in order to
compute a TerrOC degradation rate and thereby help to quantify potential
carbon–climate feedbacks.</p>
  </abstract>
    </article-meta>
  </front>
<body>
      

<sec id="Ch1.S1" sec-type="intro">
  <title>Introduction</title>
      <p>Amplified global warming in high latitudes has raised growing concern about
potential positive carbon–climate feedbacks. Arctic soils store about half of
the global soil organic carbon (Tarnocai et al., 2009), with 60 % of this
in perennially frozen grounds (Hugelius et al., 2014). With ongoing climate
change these vast carbon reservoirs become increasingly vulnerable.
Mobilization and transport of old terrigenous organic carbon (TerrOC) into
the Arctic Ocean are expected to intensify (Gustafsson et al., 2011) through
enhancing river discharge (McClelland et al., 2008) with augmenting sediment
loads (Gordeev, 2006; Syvitski, 2002) and accelerating coastal erosion
(Günther et al., 2013). This material can be buried in the sediments of
the Arctic shelves, transported across the margin towards deeper basins or
degraded and re-introduced into the modern carbon cycle as CO<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>, thereby
not only providing a potential positive feedback to global warming but also
causing severe ocean acidification (Semiletov et al., 2016). The fate of
permafrost-released TerrOC in the marine environment is thus crucial for
future climate projections, yet insufficiently understood (Vonk and
Gustafsson, 2013).</p>
      <p>The East Siberian Arctic Shelf (ESAS) is with a width of
&gt; 800 km the world's largest continental shelf. It receives
TerrOC both from the erosion of the East Siberian shoreline, largely
consisting of organic-rich, late Pleistocene ice-complex deposits (Yedoma),
and via the great Russian arctic rivers (Ob, Yenisei, Lena, Indigirka and Kolyma) which drain extensive areas of continuous and discontinuous
permafrost. The Laptev Sea is a representative for the TerrOC-dominated
Siberian shelf seas, since its main organic carbon input originates from
substantial coastal erosion (as observed in the Buor-Khaya Bay;
Sánchez-García et al., 2011; Semiletov et al., 2011; Vonk et al.,
2012) and the Lena River, the main fluvial sediment source for the entire
ESAS (Holmes et al., 2002).</p>
      <p>Previous studies have focused on near-shore areas and the inner shelf (e.g.,
Bröder et al., 2016; Charkin et al., 2011; Feng et al., 2015; Karlsson et
al., 2011; Salvadó et al., 2015; Sánchez-García et al., 2011;
Semiletov et al., 2005, 2012, 2013; Tesi et al., 2014; Vonk et al., 2010,
2012, 2014; Winterfeld et al., 2015a, b). They reported large fractions of
old TerrOC in particulate organic carbon (POC) and surface sediments close to
the coast, using different approaches such as applying carbon-isotope-based
source apportionment (e.g., Gustafsson et al., 2011; Semiletov et al., 2005;
Vonk et al., 2010, 2012, 2014; Salvadó et al., 2015, for the
iron-associated OC fraction in the sediment) and by analyzing
terrestrial biomarkers in both
surface sediments (e.g., Feng et al., 2013; Stein and Macdonald, 2004; Tesi
et al., 2014, 2016) and POC in the water column (e.g., Charkin et al., 2011;
Karlsson et al., 2011; Winterfeld et al., 2015a). This is the first study
that encompasses sampling stations along the entire transect from the Lena
River mouth, across the wide Laptev Sea shelf, to the continental slope and
rise. Our major objective was to gain new insights regarding the behavior of
different TerrOC pools, in particular investigating potential degradation of
permafrost-released material along the land–shelf–basin continuum. The
Laptev Sea and adjacent East Siberian Sea are among the widest continental
margins on Earth (Jakobsson et al., 2004). Protracted cross-shelf transport
may hence result in long oxygen exposure times (OETs), which might exert
first-order control on TerrOC degradation (e.g., Keil et al., 2004). Our
study area is thus well suited to test hypotheses on the fate of permafrost
carbon in terms of carbon–climate feedback. We have therefore characterized
TerrOC in surface sediments along the Laptev Sea transect on both bulk and
molecular level, exploiting source-diagnostic bulk carbon isotopes
(<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>13</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>C, <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="normal">Δ</mml:mi><mml:mn>14</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>C) as well as an extensive biomarker suite
(lignin phenols and cutin acids obtained by alkaline CuO oxidation and
high-molecular-weight (HMW) solvent-extractable lipids, such as <inline-formula><mml:math display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>-alkanes
and <inline-formula><mml:math display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>-alkanoic acids).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F1" specific-use="star"><caption><p>Map of the study area in the Laptev Sea. Red filled circles mark the
sediment sampling sites. The transect reaches from the Lena River mouth and
the Buor-Khaya Bay (water depths <inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 10 m) across the Laptev Sea Shelf
(mean depth <inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 50 m) to the slope/shelf break and rise (water depths
<inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 3000 m). Arrows show the directions of the prevailing ocean
currents.</p></caption>
        <?xmltex \igopts{width=369.885827pt}?><graphic xlink:href="https://bg.copernicus.org/articles/13/5003/2016/bg-13-5003-2016-f01.pdf"/>

      </fig>

</sec>
<sec id="Ch1.S2">
  <title>Material and methods</title>
<sec id="Ch1.S2.SS1">
  <title>Study area</title>
      <p>The Laptev Sea is the shallowest of the Arctic shelf seas with an average
depth of 48 m (Jakobsson et al., 2004). It spans over 498 000 km<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:math></inline-formula>
with a volume of 24 000 km<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> and is located between the Kara Sea and
Severnaya Zemlya in the west and the East Siberian Sea and the New Siberian
Islands in the east (Fig. 1). The main sources of POC for the Laptev Sea are
terrigenous, both from coastal erosion and river runoff
(Sánchez-García et al., 2011; Stein and Macdonald, 2004). Marine
primary production is limited to on average 2 ice-free months per year and
therefore generally low. Nutrient-poor waters on the Siberian shelves
resulting from a strong stratification further impede phytoplankton growth
(Sakshaug, 2004).</p>
      <p>The destabilization of Pleistocene ice-complex deposits along the coastline
is a main sediment source for the Laptev Sea (Rachold et al., 2000). The
total POC input from coastal erosion to Laptev and East Siberian Sea is
estimated to be between 4.0 Tg yr<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> (Semiletov, 1999; Stein and Fahl,
2000) and 22 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 8 Tg yr<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> (including net sub-sea permafrost–carbon
erosion; Vonk et al., 2012).</p>
      <p>The Lena River is estimated to provide 20.7 Tg of sediment per year (Holmes
et al., 2002), i.e., &gt; 70 % of the total riverine input to the
Laptev Sea (Gordeev, 2006) with an average water discharge of
588 km<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> yr<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> (Holmes et al., 2012). It drains a watershed of
<inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 2.46 <inline-formula><mml:math display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 10<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">6</mml:mn></mml:msup></mml:math></inline-formula> km<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:math></inline-formula> (Holmes et al., 2012), of which
77 % is underlain by continuous permafrost (Amon et al., 2012). Water
discharge peaks in June, during the spring flood, when about 75 % of
total organic carbon (TOC) is delivered (Rachold et al., 2004). Total POC discharge
by the Lena River can be up to 0.38 Tg yr<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> (Semiletov et al., 2011).</p>
      <p>Sediment transport pathways are largely influenced by the prevailing
atmospheric conditions: during cyclonic summers (i.e., positive phase of the
Arctic Oscillation), northerly winds predominate, strengthening the Siberian
Coastal Current, which transports Lena River water masses along the coast
towards the East Siberian Sea; in contrast, during anticyclonic summers (i.e.,
negative phase of the Arctic Oscillation and mainly southerly winds) the
Lena River plume is exported onto the mid-shelf and towards the deep part of
the Arctic Ocean (Charkin et al., 2011; Dmitrenko et al., 2008; Guay et al.,
2001; Wegner et al., 2013; Weingartner et al., 1999). Sediment transport in
the Laptev Sea is strongly seasonal. The main transport of Lena River water
with high concentrations of suspended particulate matter (SPM) towards the
mid-shelf takes place shortly after river-ice breakup (Wegner et al., 2005).
During the ice-free summer, SPM circulates between inner and mid-shelf with
very little material escaping over the shelf break to the deeper parts of
the Arctic Ocean. Significant sediment export is suggested to happen during
freeze-up through SPM that is incorporated in sea ice and then transported
across the continental margin (Dethleff, 2005; Eicken et al., 1997) or
through the formation of dense bottom water resulting from brine ejection
(Dethleff, 2010; Ivanov and Golovin, 2007). Hardly any sediment transport
occurs beneath the ice cover.</p>
      <p>Holocene-scale linear sedimentation rates for the Laptev Sea vary between
0.12 and 0.59 mm yr<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> according to <inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn>14</mml:mn></mml:msup></mml:math></inline-formula>C dating of marine bivalves
(Stein and Fahl, 2004, and references therein), whereas centennial-scale
<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn>210</mml:mn></mml:msup></mml:math></inline-formula>Pb-derived rates for the more recent Laptev Sea can be up to
1.3 mm yr<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> (Vonk et al., 2012). These rates do not seem to be
correlated with water depth on the shelf, but values for the continental
slope and rise tend to be on the lower end (0.12–0.38 mm yr<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> (Stein
and Fahl, 2004, and references therein).</p>
</sec>
<sec id="Ch1.S2.SS2">
  <title>Sampling</title>
      <p>Sediment sampling locations span from close to the Lena River mouth and in
the Buor-Khaya Bay, across the shelf, to the continental slope and rise,
covering a transect of &gt; 800 km with water depths increasing by
more than 2 orders of magnitude (Fig. 1). Samples SW-1, SW-2, SW-3, SW-4,
SW-6, SW-14, SW-23 and SW-24 were collected during the SWERUS-C3 expedition
on IB <italic>ODEN</italic> during summer 2014 using an Oktopus multicorer (eight
Plexiglas tubes, 10 cm diameter). All other samples were collected during
the International Siberian Shelf Study (ISSS-08) expedition onboard the R/V
<italic>Yacob Smirnitskyi</italic> during summer 2008. The YS-4, YS-6, YS-13 and
YS-14 samples were taken with a GEMAX gravity corer (two Plexiglas tubes,
9 cm diameter); YS-9 and TB-46 were collected with a Van Veen grab sampler.
For the grab samples only surface sediments (uppermost cm) were subsampled
and used in this study. Sediment cores were cut into 1 cm slices within
24 h after sampling. To account for lower sediment accumulation rates on the
rise, for SW-1, SW-2, SW-3 and SW-4 a higher resolution of 0.5 cm for the
top 10 cm was chosen. The depositional age for all samples is thus between
<inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 8 and <inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 70 years (depending on which sedimentation rates are
employed). All samples were kept frozen throughout the expedition and
freeze-dried upon arrival to Stockholm University laboratories. See Semiletov
and Gustafsson (2009) for more information on the ISSS-08 expedition. For
exact sampling locations see Table 1.</p>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T1" specific-use="star"><caption><p>List of surface sediment samples from the Laptev Sea transect.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="12">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="right"/>
     <oasis:colspec colnum="3" colname="col3" align="right"/>
     <oasis:colspec colnum="4" colname="col4" align="right"/>
     <oasis:colspec colnum="5" colname="col5" align="right"/>
     <oasis:colspec colnum="6" colname="col6" align="right"/>
     <oasis:colspec colnum="7" colname="col7" align="right"/>
     <oasis:colspec colnum="8" colname="col8" align="right"/>
     <oasis:colspec colnum="9" colname="col9" align="right"/>
     <oasis:colspec colnum="10" colname="col10" align="right"/>
     <oasis:colspec colnum="11" colname="col11" align="right"/>
     <oasis:colspec colnum="12" colname="col12" align="right"/>
     <oasis:thead>
       <oasis:row>  
         <oasis:entry colname="col1">ID</oasis:entry>  
         <oasis:entry colname="col2">Sample</oasis:entry>  
         <oasis:entry colname="col3">Lat</oasis:entry>  
         <oasis:entry colname="col4">Long</oasis:entry>  
         <oasis:entry colname="col5">Water</oasis:entry>  
         <oasis:entry colname="col6">OC</oasis:entry>  
         <oasis:entry colname="col7">SA</oasis:entry>  
         <oasis:entry colname="col8"><inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>13</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>C</oasis:entry>  
         <oasis:entry colname="col9"><inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="normal">Δ</mml:mi><mml:mn>14</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>C</oasis:entry>  
         <oasis:entry colname="col10">SiO<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col11">Al<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>O<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col12">CaO</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2">type</oasis:entry>  
         <oasis:entry colname="col3"/>  
         <oasis:entry colname="col4"/>  
         <oasis:entry colname="col5">depth</oasis:entry>  
         <oasis:entry colname="col6"/>  
         <oasis:entry colname="col7"/>  
         <oasis:entry colname="col8"/>  
         <oasis:entry colname="col9"/>  
         <oasis:entry colname="col10"/>  
         <oasis:entry colname="col11"/>  
         <oasis:entry colname="col12"/>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2"/>  
         <oasis:entry colname="col3"><inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>N</oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>E</oasis:entry>  
         <oasis:entry colname="col5">m</oasis:entry>  
         <oasis:entry colname="col6">mg g<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col7">m<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:math></inline-formula> g<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col8">‰</oasis:entry>  
         <oasis:entry colname="col9">‰</oasis:entry>  
         <oasis:entry colname="col10">wt %</oasis:entry>  
         <oasis:entry colname="col11">wt %</oasis:entry>  
         <oasis:entry colname="col12">wt %</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>  
         <oasis:entry colname="col1">SW-1</oasis:entry>  
         <oasis:entry colname="col2">0–0.5 cm</oasis:entry>  
         <oasis:entry colname="col3">78.942</oasis:entry>  
         <oasis:entry colname="col4">125.243</oasis:entry>  
         <oasis:entry colname="col5">3146</oasis:entry>  
         <oasis:entry colname="col6">10.4</oasis:entry>  
         <oasis:entry colname="col7">34.0</oasis:entry>  
         <oasis:entry colname="col8"><inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>22.3</oasis:entry>  
         <oasis:entry colname="col9"><inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>418</oasis:entry>  
         <oasis:entry colname="col10">60.3</oasis:entry>  
         <oasis:entry colname="col11">16.5</oasis:entry>  
         <oasis:entry colname="col12">2.4</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">SW-2</oasis:entry>  
         <oasis:entry colname="col2">0–0.5 cm</oasis:entry>  
         <oasis:entry colname="col3">78.581</oasis:entry>  
         <oasis:entry colname="col4">125.607</oasis:entry>  
         <oasis:entry colname="col5">2900</oasis:entry>  
         <oasis:entry colname="col6">13.8</oasis:entry>  
         <oasis:entry colname="col7">38.3</oasis:entry>  
         <oasis:entry colname="col8"><inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>22.7</oasis:entry>  
         <oasis:entry colname="col9"><inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>392</oasis:entry>  
         <oasis:entry colname="col10">57.8</oasis:entry>  
         <oasis:entry colname="col11">17.2</oasis:entry>  
         <oasis:entry colname="col12">2.1</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">SW-3</oasis:entry>  
         <oasis:entry colname="col2">0–0.5 cm</oasis:entry>  
         <oasis:entry colname="col3">78.238</oasis:entry>  
         <oasis:entry colname="col4">126.150</oasis:entry>  
         <oasis:entry colname="col5">2601</oasis:entry>  
         <oasis:entry colname="col6">10.6</oasis:entry>  
         <oasis:entry colname="col7">31.8</oasis:entry>  
         <oasis:entry colname="col8"><inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>22.6</oasis:entry>  
         <oasis:entry colname="col9"><inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>426</oasis:entry>  
         <oasis:entry colname="col10">62.1</oasis:entry>  
         <oasis:entry colname="col11">16.0</oasis:entry>  
         <oasis:entry colname="col12">1.6</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">SW-4</oasis:entry>  
         <oasis:entry colname="col2">0–0.5 cm</oasis:entry>  
         <oasis:entry colname="col3">77.855</oasis:entry>  
         <oasis:entry colname="col4">126.664</oasis:entry>  
         <oasis:entry colname="col5">2106</oasis:entry>  
         <oasis:entry colname="col6">13.2</oasis:entry>  
         <oasis:entry colname="col7">41.5</oasis:entry>  
         <oasis:entry colname="col8"><inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>22.5</oasis:entry>  
         <oasis:entry colname="col9"><inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>428</oasis:entry>  
         <oasis:entry colname="col10">56.6</oasis:entry>  
         <oasis:entry colname="col11">17.5</oasis:entry>  
         <oasis:entry colname="col12">1.3</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">SW-6</oasis:entry>  
         <oasis:entry colname="col2">0–1 cm</oasis:entry>  
         <oasis:entry colname="col3">77.142</oasis:entry>  
         <oasis:entry colname="col4">127.378</oasis:entry>  
         <oasis:entry colname="col5">92</oasis:entry>  
         <oasis:entry colname="col6">7.6</oasis:entry>  
         <oasis:entry colname="col7">14.9</oasis:entry>  
         <oasis:entry colname="col8"><inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>23.2</oasis:entry>  
         <oasis:entry colname="col9"><inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>364</oasis:entry>  
         <oasis:entry colname="col10">72.0</oasis:entry>  
         <oasis:entry colname="col11">12.6</oasis:entry>  
         <oasis:entry colname="col12">1.7</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">SW-14</oasis:entry>  
         <oasis:entry colname="col2">0–1 cm</oasis:entry>  
         <oasis:entry colname="col3">76.894</oasis:entry>  
         <oasis:entry colname="col4">127.798</oasis:entry>  
         <oasis:entry colname="col5">64</oasis:entry>  
         <oasis:entry colname="col6">8.9</oasis:entry>  
         <oasis:entry colname="col7">19.4</oasis:entry>  
         <oasis:entry colname="col8"><inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>24.3</oasis:entry>  
         <oasis:entry colname="col9"><inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>314</oasis:entry>  
         <oasis:entry colname="col10">71.3</oasis:entry>  
         <oasis:entry colname="col11">12.5</oasis:entry>  
         <oasis:entry colname="col12">1.5</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">SW-23</oasis:entry>  
         <oasis:entry colname="col2">0–1 cm</oasis:entry>  
         <oasis:entry colname="col3">76.171</oasis:entry>  
         <oasis:entry colname="col4">129.333</oasis:entry>  
         <oasis:entry colname="col5">56</oasis:entry>  
         <oasis:entry colname="col6">15.8</oasis:entry>  
         <oasis:entry colname="col7">21.7</oasis:entry>  
         <oasis:entry colname="col8"><inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>25.0</oasis:entry>  
         <oasis:entry colname="col9"><inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>333</oasis:entry>  
         <oasis:entry colname="col10">68.9</oasis:entry>  
         <oasis:entry colname="col11">13.6</oasis:entry>  
         <oasis:entry colname="col12">1.4</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">YS-4</oasis:entry>  
         <oasis:entry colname="col2">0–1 cm</oasis:entry>  
         <oasis:entry colname="col3">75.987</oasis:entry>  
         <oasis:entry colname="col4">129.984</oasis:entry>  
         <oasis:entry colname="col5">50</oasis:entry>  
         <oasis:entry colname="col6">13.4<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mtext>a</mml:mtext></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col7">31.4</oasis:entry>  
         <oasis:entry colname="col8"><inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>24.8<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mtext>a</mml:mtext></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col9"><inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>284<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mtext>a</mml:mtext></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col10">63.8</oasis:entry>  
         <oasis:entry colname="col11">15.1</oasis:entry>  
         <oasis:entry colname="col12">1.3</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">SW-24</oasis:entry>  
         <oasis:entry colname="col2">0–1 cm</oasis:entry>  
         <oasis:entry colname="col3">75.599</oasis:entry>  
         <oasis:entry colname="col4">129.558</oasis:entry>  
         <oasis:entry colname="col5">46</oasis:entry>  
         <oasis:entry colname="col6">10.7</oasis:entry>  
         <oasis:entry colname="col7">37.0</oasis:entry>  
         <oasis:entry colname="col8"><inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>24.3</oasis:entry>  
         <oasis:entry colname="col9"><inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>437</oasis:entry>  
         <oasis:entry colname="col10">62.5</oasis:entry>  
         <oasis:entry colname="col11">15.4</oasis:entry>  
         <oasis:entry colname="col12">1.2</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">YS-6</oasis:entry>  
         <oasis:entry colname="col2">0–1 cm</oasis:entry>  
         <oasis:entry colname="col3">74.724</oasis:entry>  
         <oasis:entry colname="col4">130.016</oasis:entry>  
         <oasis:entry colname="col5">32</oasis:entry>  
         <oasis:entry colname="col6">18.6<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mtext>a</mml:mtext></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col7">31.6</oasis:entry>  
         <oasis:entry colname="col8"><inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>25.6<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mtext>a</mml:mtext></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col9"><inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>465<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mtext>a</mml:mtext></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col10">62.1</oasis:entry>  
         <oasis:entry colname="col11">16.1</oasis:entry>  
         <oasis:entry colname="col12">1.3</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">YS-9</oasis:entry>  
         <oasis:entry colname="col2">Grab</oasis:entry>  
         <oasis:entry colname="col3">73.366</oasis:entry>  
         <oasis:entry colname="col4">129.997</oasis:entry>  
         <oasis:entry colname="col5">23</oasis:entry>  
         <oasis:entry colname="col6">13.1<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mtext>b</mml:mtext></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col7">16.9</oasis:entry>  
         <oasis:entry colname="col8"><inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>26.1<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mtext>b</mml:mtext></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col9"><inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>415<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mtext>b</mml:mtext></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col10">70.8</oasis:entry>  
         <oasis:entry colname="col11">14.0</oasis:entry>  
         <oasis:entry colname="col12">1.3</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">YS-13</oasis:entry>  
         <oasis:entry colname="col2">0–1 cm</oasis:entry>  
         <oasis:entry colname="col3">71.968</oasis:entry>  
         <oasis:entry colname="col4">131.701</oasis:entry>  
         <oasis:entry colname="col5">19</oasis:entry>  
         <oasis:entry colname="col6">18.9<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mtext>a</mml:mtext></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col7">23.5</oasis:entry>  
         <oasis:entry colname="col8"><inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>25.9<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mtext>a</mml:mtext></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col9"><inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>543<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mtext>a</mml:mtext></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col10">61.6</oasis:entry>  
         <oasis:entry colname="col11">17.4</oasis:entry>  
         <oasis:entry colname="col12">0.8</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">YS-14</oasis:entry>  
         <oasis:entry colname="col2">0–1 cm</oasis:entry>  
         <oasis:entry colname="col3">71.630</oasis:entry>  
         <oasis:entry colname="col4">130.050</oasis:entry>  
         <oasis:entry colname="col5">7</oasis:entry>  
         <oasis:entry colname="col6">19.1<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mtext>a</mml:mtext></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col7">11.4</oasis:entry>  
         <oasis:entry colname="col8"><inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>26.2<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mtext>a</mml:mtext></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col9"><inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>504<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mi>a</mml:mi></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col10">69.6</oasis:entry>  
         <oasis:entry colname="col11">15.0</oasis:entry>  
         <oasis:entry colname="col12">1.6</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">TB-46</oasis:entry>  
         <oasis:entry colname="col2">Grab</oasis:entry>  
         <oasis:entry colname="col3">72.700</oasis:entry>  
         <oasis:entry colname="col4">130.180</oasis:entry>  
         <oasis:entry colname="col5">6</oasis:entry>  
         <oasis:entry colname="col6">25.8<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mtext>a</mml:mtext></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col7">12.0<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mtext>c</mml:mtext></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col8"><inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>26.5<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mtext>a</mml:mtext></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col9"><inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>436<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mtext>a</mml:mtext></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col10">67.9</oasis:entry>  
         <oasis:entry colname="col11">15.2</oasis:entry>  
         <oasis:entry colname="col12">1.8</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table><table-wrap-foot><p><inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mtext>a</mml:mtext></mml:msup></mml:math></inline-formula> Data from Vonk et al. (2012); <inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mtext>b</mml:mtext></mml:msup></mml:math></inline-formula> data from
Tesi et al. (2016); <inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mtext>c</mml:mtext></mml:msup></mml:math></inline-formula> data from Karlsson et al. (2011).</p></table-wrap-foot></table-wrap>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T2" specific-use="star"><caption><p>Biomarker results for surface sediment samples from the Laptev Sea
transect.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="13">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="right"/>
     <oasis:colspec colnum="3" colname="col3" align="right"/>
     <oasis:colspec colnum="4" colname="col4" align="right"/>
     <oasis:colspec colnum="5" colname="col5" align="right"/>
     <oasis:colspec colnum="6" colname="col6" align="right"/>
     <oasis:colspec colnum="7" colname="col7" align="right"/>
     <oasis:colspec colnum="8" colname="col8" align="right"/>
     <oasis:colspec colnum="9" colname="col9" align="right"/>
     <oasis:colspec colnum="10" colname="col10" align="right"/>
     <oasis:colspec colnum="11" colname="col11" align="right"/>
     <oasis:colspec colnum="12" colname="col12" align="right"/>
     <oasis:colspec colnum="13" colname="col13" align="right"/>
     <oasis:thead>
       <oasis:row>  
         <oasis:entry colname="col1">ID</oasis:entry>  
         <oasis:entry colname="col2">Lignin</oasis:entry>  
         <oasis:entry colname="col3">Cutin</oasis:entry>  
         <oasis:entry colname="col4">HMW<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mtext>a</mml:mtext></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col5">HMW<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mtext>b</mml:mtext></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col6">S <inline-formula><mml:math display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> V</oasis:entry>  
         <oasis:entry colname="col7">C <inline-formula><mml:math display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> V</oasis:entry>  
         <oasis:entry colname="col8">Sd <inline-formula><mml:math display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> Sl</oasis:entry>  
         <oasis:entry colname="col9">Vd <inline-formula><mml:math display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> Vl</oasis:entry>  
         <oasis:entry colname="col10">3,5-Bd <inline-formula><mml:math display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> V</oasis:entry>  
         <oasis:entry colname="col11">CPI</oasis:entry>  
         <oasis:entry colname="col12">CPI</oasis:entry>  
         <oasis:entry colname="col13">acids/</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2"/>  
         <oasis:entry colname="col3"/>  
         <oasis:entry colname="col4">alkanes</oasis:entry>  
         <oasis:entry colname="col5">acids</oasis:entry>  
         <oasis:entry colname="col6"/>  
         <oasis:entry colname="col7"/>  
         <oasis:entry colname="col8"/>  
         <oasis:entry colname="col9"/>  
         <oasis:entry colname="col10"/>  
         <oasis:entry colname="col11">alk</oasis:entry>  
         <oasis:entry colname="col12">acids</oasis:entry>  
         <oasis:entry colname="col13">alk</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2"><inline-formula><mml:math display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>g m<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col3"><inline-formula><mml:math display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>g m<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>g m<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>g m<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col6"/>  
         <oasis:entry colname="col7"/>  
         <oasis:entry colname="col8"/>  
         <oasis:entry colname="col9"/>  
         <oasis:entry colname="col10"/>  
         <oasis:entry colname="col11"/>  
         <oasis:entry colname="col12"/>  
         <oasis:entry colname="col13"/>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>  
         <oasis:entry colname="col1">SW-1</oasis:entry>  
         <oasis:entry colname="col2">0.56</oasis:entry>  
         <oasis:entry colname="col3">0.063</oasis:entry>  
         <oasis:entry colname="col4">0.14</oasis:entry>  
         <oasis:entry colname="col5">0.27</oasis:entry>  
         <oasis:entry colname="col6">1.1</oasis:entry>  
         <oasis:entry colname="col7">0.09</oasis:entry>  
         <oasis:entry colname="col8">1.3</oasis:entry>  
         <oasis:entry colname="col9">0.98</oasis:entry>  
         <oasis:entry colname="col10">0.43</oasis:entry>  
         <oasis:entry colname="col11">2.5</oasis:entry>  
         <oasis:entry colname="col12">4.1</oasis:entry>  
         <oasis:entry colname="col13">1.9</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">SW-2</oasis:entry>  
         <oasis:entry colname="col2">0.41</oasis:entry>  
         <oasis:entry colname="col3">0.070</oasis:entry>  
         <oasis:entry colname="col4">0.13</oasis:entry>  
         <oasis:entry colname="col5">0.57</oasis:entry>  
         <oasis:entry colname="col6">0.99</oasis:entry>  
         <oasis:entry colname="col7">0.16</oasis:entry>  
         <oasis:entry colname="col8">1.3</oasis:entry>  
         <oasis:entry colname="col9">0.99</oasis:entry>  
         <oasis:entry colname="col10">0.52</oasis:entry>  
         <oasis:entry colname="col11">1.9</oasis:entry>  
         <oasis:entry colname="col12">4.1</oasis:entry>  
         <oasis:entry colname="col13">4.3</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">SW-3</oasis:entry>  
         <oasis:entry colname="col2">0.34</oasis:entry>  
         <oasis:entry colname="col3">0.061</oasis:entry>  
         <oasis:entry colname="col4">0.13</oasis:entry>  
         <oasis:entry colname="col5">0.75</oasis:entry>  
         <oasis:entry colname="col6">0.92</oasis:entry>  
         <oasis:entry colname="col7">0.14</oasis:entry>  
         <oasis:entry colname="col8">1.3</oasis:entry>  
         <oasis:entry colname="col9">0.95</oasis:entry>  
         <oasis:entry colname="col10">0.61</oasis:entry>  
         <oasis:entry colname="col11">1.7</oasis:entry>  
         <oasis:entry colname="col12">4.1</oasis:entry>  
         <oasis:entry colname="col13">6.0</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">SW-4</oasis:entry>  
         <oasis:entry colname="col2">0.42</oasis:entry>  
         <oasis:entry colname="col3">0.048</oasis:entry>  
         <oasis:entry colname="col4">0.093</oasis:entry>  
         <oasis:entry colname="col5">0.10</oasis:entry>  
         <oasis:entry colname="col6">1.1</oasis:entry>  
         <oasis:entry colname="col7">0.08</oasis:entry>  
         <oasis:entry colname="col8">1.4</oasis:entry>  
         <oasis:entry colname="col9">1.0</oasis:entry>  
         <oasis:entry colname="col10">0.58</oasis:entry>  
         <oasis:entry colname="col11">2.7</oasis:entry>  
         <oasis:entry colname="col12">4.1</oasis:entry>  
         <oasis:entry colname="col13">1.1</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">SW-6</oasis:entry>  
         <oasis:entry colname="col2">0.68</oasis:entry>  
         <oasis:entry colname="col3">0.12</oasis:entry>  
         <oasis:entry colname="col4">0.18</oasis:entry>  
         <oasis:entry colname="col5">0.67</oasis:entry>  
         <oasis:entry colname="col6">0.90</oasis:entry>  
         <oasis:entry colname="col7">0.19</oasis:entry>  
         <oasis:entry colname="col8">1.2</oasis:entry>  
         <oasis:entry colname="col9">1.0</oasis:entry>  
         <oasis:entry colname="col10">0.46</oasis:entry>  
         <oasis:entry colname="col11">2.9</oasis:entry>  
         <oasis:entry colname="col12">4.4</oasis:entry>  
         <oasis:entry colname="col13">3.7</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">SW-14</oasis:entry>  
         <oasis:entry colname="col2">1.0</oasis:entry>  
         <oasis:entry colname="col3">0.12</oasis:entry>  
         <oasis:entry colname="col4">0.15</oasis:entry>  
         <oasis:entry colname="col5">0.46</oasis:entry>  
         <oasis:entry colname="col6">1.0</oasis:entry>  
         <oasis:entry colname="col7">0.08</oasis:entry>  
         <oasis:entry colname="col8">1.4</oasis:entry>  
         <oasis:entry colname="col9">1.1</oasis:entry>  
         <oasis:entry colname="col10">0.46</oasis:entry>  
         <oasis:entry colname="col11">2.8</oasis:entry>  
         <oasis:entry colname="col12">4.8</oasis:entry>  
         <oasis:entry colname="col13">3.1</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">SW-23</oasis:entry>  
         <oasis:entry colname="col2">0.97</oasis:entry>  
         <oasis:entry colname="col3">0.17</oasis:entry>  
         <oasis:entry colname="col4">0.16</oasis:entry>  
         <oasis:entry colname="col5">1.2</oasis:entry>  
         <oasis:entry colname="col6">0.96</oasis:entry>  
         <oasis:entry colname="col7">0.11</oasis:entry>  
         <oasis:entry colname="col8">1.3</oasis:entry>  
         <oasis:entry colname="col9">1.1</oasis:entry>  
         <oasis:entry colname="col10">0.48</oasis:entry>  
         <oasis:entry colname="col11">3.2</oasis:entry>  
         <oasis:entry colname="col12">4.4</oasis:entry>  
         <oasis:entry colname="col13">7.4</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">YS-4</oasis:entry>  
         <oasis:entry colname="col2">0.84</oasis:entry>  
         <oasis:entry colname="col3">0.17</oasis:entry>  
         <oasis:entry colname="col4">0.13</oasis:entry>  
         <oasis:entry colname="col5">0.92</oasis:entry>  
         <oasis:entry colname="col6">0.83</oasis:entry>  
         <oasis:entry colname="col7">0.17</oasis:entry>  
         <oasis:entry colname="col8">1.3</oasis:entry>  
         <oasis:entry colname="col9">1.1</oasis:entry>  
         <oasis:entry colname="col10">0.38</oasis:entry>  
         <oasis:entry colname="col11">4.0</oasis:entry>  
         <oasis:entry colname="col12">3.7</oasis:entry>  
         <oasis:entry colname="col13">6.8</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">SW-24</oasis:entry>  
         <oasis:entry colname="col2">0.76</oasis:entry>  
         <oasis:entry colname="col3">0.23</oasis:entry>  
         <oasis:entry colname="col4">0.18</oasis:entry>  
         <oasis:entry colname="col5">1.6</oasis:entry>  
         <oasis:entry colname="col6">0.84</oasis:entry>  
         <oasis:entry colname="col7">0.19</oasis:entry>  
         <oasis:entry colname="col8">1.2</oasis:entry>  
         <oasis:entry colname="col9">1.1</oasis:entry>  
         <oasis:entry colname="col10">0.43</oasis:entry>  
         <oasis:entry colname="col11">4.0</oasis:entry>  
         <oasis:entry colname="col12">3.9</oasis:entry>  
         <oasis:entry colname="col13">8.9</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">YS-6</oasis:entry>  
         <oasis:entry colname="col2">2.7</oasis:entry>  
         <oasis:entry colname="col3">0.71</oasis:entry>  
         <oasis:entry colname="col4">0.31</oasis:entry>  
         <oasis:entry colname="col5">0.97</oasis:entry>  
         <oasis:entry colname="col6">0.68</oasis:entry>  
         <oasis:entry colname="col7">0.27</oasis:entry>  
         <oasis:entry colname="col8">0.94</oasis:entry>  
         <oasis:entry colname="col9">0.79</oasis:entry>  
         <oasis:entry colname="col10">0.25</oasis:entry>  
         <oasis:entry colname="col11">4.6</oasis:entry>  
         <oasis:entry colname="col12">4.6</oasis:entry>  
         <oasis:entry colname="col13">3.2</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">YS-9</oasis:entry>  
         <oasis:entry colname="col2">10</oasis:entry>  
         <oasis:entry colname="col3">2.7</oasis:entry>  
         <oasis:entry colname="col4">0.45</oasis:entry>  
         <oasis:entry colname="col5">1.1</oasis:entry>  
         <oasis:entry colname="col6">0.60</oasis:entry>  
         <oasis:entry colname="col7">0.31</oasis:entry>  
         <oasis:entry colname="col8">0.65</oasis:entry>  
         <oasis:entry colname="col9">0.60</oasis:entry>  
         <oasis:entry colname="col10">0.16</oasis:entry>  
         <oasis:entry colname="col11">4.7</oasis:entry>  
         <oasis:entry colname="col12">4.1</oasis:entry>  
         <oasis:entry colname="col13">2.3</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">YS-13</oasis:entry>  
         <oasis:entry colname="col2">5.8</oasis:entry>  
         <oasis:entry colname="col3">2.3</oasis:entry>  
         <oasis:entry colname="col4">0.64</oasis:entry>  
         <oasis:entry colname="col5">2.3</oasis:entry>  
         <oasis:entry colname="col6">0.65</oasis:entry>  
         <oasis:entry colname="col7">0.29</oasis:entry>  
         <oasis:entry colname="col8">0.88</oasis:entry>  
         <oasis:entry colname="col9">0.78</oasis:entry>  
         <oasis:entry colname="col10">0.25</oasis:entry>  
         <oasis:entry colname="col11">3.4</oasis:entry>  
         <oasis:entry colname="col12">3.6</oasis:entry>  
         <oasis:entry colname="col13">3.4</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">YS-14</oasis:entry>  
         <oasis:entry colname="col2">34</oasis:entry>  
         <oasis:entry colname="col3">9.0</oasis:entry>  
         <oasis:entry colname="col4">1.1</oasis:entry>  
         <oasis:entry colname="col5">12</oasis:entry>  
         <oasis:entry colname="col6">0.66</oasis:entry>  
         <oasis:entry colname="col7">0.42</oasis:entry>  
         <oasis:entry colname="col8">0.57</oasis:entry>  
         <oasis:entry colname="col9">0.50</oasis:entry>  
         <oasis:entry colname="col10">0.11</oasis:entry>  
         <oasis:entry colname="col11">6.0</oasis:entry>  
         <oasis:entry colname="col12">5.9</oasis:entry>  
         <oasis:entry colname="col13">11</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">TB-46</oasis:entry>  
         <oasis:entry colname="col2">45</oasis:entry>  
         <oasis:entry colname="col3">11</oasis:entry>  
         <oasis:entry colname="col4">0.83<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mtext>c</mml:mtext></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col5">6.6<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mtext>c</mml:mtext></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col6">0.64</oasis:entry>  
         <oasis:entry colname="col7">0.53</oasis:entry>  
         <oasis:entry colname="col8">0.55</oasis:entry>  
         <oasis:entry colname="col9">0.47</oasis:entry>  
         <oasis:entry colname="col10">0.12</oasis:entry>  
         <oasis:entry colname="col11">5.4<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mtext>c</mml:mtext></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col12">5.0<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mtext>c</mml:mtext></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col13">7.9<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mtext>c</mml:mtext></mml:msup></mml:math></inline-formula></oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table><table-wrap-foot><p><inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mtext>a</mml:mtext></mml:msup></mml:math></inline-formula> Carbon chain lengths 23–34; <inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mtext>b</mml:mtext></mml:msup></mml:math></inline-formula> carbon chain lengths 24–30.
<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mtext>c</mml:mtext></mml:msup></mml:math></inline-formula> Recalculated data from Karlsson et al. (2011).</p></table-wrap-foot></table-wrap>

</sec>
<sec id="Ch1.S2.SS3">
  <title>Surface area (SA)</title>
      <p>All SA analyses have been performed on a Micromeritics Gemini VII Surface
Area and Porosity analyzer. Freeze-dried subsamples of <inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 0.7 g were
heated at 400 <inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C for
12 h and gently cooled down to room temperature to remove all organic
material. Keil and Cowie (1999) have shown that this method yields
statistically similar results to the method using removal with sodium
pyrophosphate/hydrogen peroxide (Mayer, 1994). The samples were then desalted
by repeated mixing with 50 mL of Milli-Q water and centrifugation (20 min
at 8000 rpm), followed by further freeze-drying. Directly prior to analysis
they were degassed in a Micromeritics FlowPrep 060 Sample Degas System for
2 h at 200 <inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C under a constant nitrogen flow. Each analysis was
initiated by measuring the free space in the vial. The specific SAs were
derived from six pressure-point measurements (relative pressure <inline-formula><mml:math display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mo>/</mml:mo><mml:msub><mml:mi>p</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub><mml:mo>=</mml:mo></mml:mrow></mml:math></inline-formula> 0.05–0.3, equilibration time 5 s) with nitrogen as adsorbing gas
(Brunauer et al., 1938). The instrumental precision was
0.1–0.3 m<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:math></inline-formula> g<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>, which corresponds to a relative uncertainty of
about 1 %. The performance of the instrument was monitored with the SA
reference material carbon black (21.0 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.75 m<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:math></inline-formula> g<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>
provided by Micromeritics.</p>
</sec>
<sec id="Ch1.S2.SS4">
  <title>X-Ray fluorescence (XRF)</title>
      <p>The mineral composition of <inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 1 g freeze-dried, homogenized subsamples
was also characterized with a wavelength dispersive sequential Philips PW2400
XRF spectrometer. Prior to the analysis, sediment
samples were combusted for 12 h at 450 <inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C to remove the organic
fraction. The XRF was operated under vacuum conditions on samples prepared as
glass beads using lithium tetraborate and melted with a Claisse fluxer (<inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 1150<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C) (Mercone et al., 2001). The relative error was less
than 0.6 % for major elements and less than 3 % for trace elements.
In this study only SiO<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>, Al<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>O<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> and CaO are reported.</p>
</sec>
<sec id="Ch1.S2.SS5">
  <title>Bulk elemental and carbon isotope analysis</title>
      <p>Concentration and <inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn>13</mml:mn></mml:msup></mml:math></inline-formula>C isotopic composition of TOC were determined at the
Stable Isotope Laboratory, Department of Geological Sciences, Stockholm
University. Homogenized subsamples of <inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 10 mg were repeatedly
acidified (HCl, 1.5 M, Ag capsules) to remove carbonates (Nieuwenhuize et
al., 1994). TOC concentrations and <inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn>13</mml:mn></mml:msup></mml:math></inline-formula>C isotopic composition were
measured simultaneously with a Carlo Erba NC2500 elemental analyzer connected
via a split interface to a Finnigan MAT Delta V mass spectrometer. TOC
concentrations were blank corrected and the relative error was
&lt; 1 %. Stable isotope data are reported relative to VPDB using
the <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>13</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>C notation.</p>
      <p>Radiocarbon analyses of acidified samples were conducted at the US National
Ocean Sciences Accelerator Mass Spectrometry (NOSAMS) facility of the Woods
Hole Oceanographic Institution, USA, according to their standard routines
(Pearson et al., 1998). The relative error of the measurements was
&lt; 0.5 %. Radiocarbon data are reported using the <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="normal">Δ</mml:mi><mml:mn>14</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>C
notation following Stuvier and Polach (1977).</p>
</sec>
<sec id="Ch1.S2.SS6">
  <title>Biomarkers</title>
<sec id="Ch1.S2.SS6.SSS1">
  <title>CuO-oxidation products</title>
      <p>Microwave-assisted alkaline CuO oxidation was performed according to the
method established by Goñi and Montgomery (2000). Homogenized subsamples
of 100–400 mg of sediment (corresponding to 2–5 mg OC) were combined with
300 mg of copper(II) oxide and 50 mg of ferrous ammonium sulfate and
oxidized under oxygen-free conditions (degassed NaOH, 8 wt %) at
150 <inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C for 90 min using an UltraWAVE Milestone 215 microwave oven.
After oxidation, known amounts of trans-cinnamic acid and ethyl vanillin were
added as recovery standards. Samples were acidified to pH 1 with HCl (12 M)
and repeatedly extracted with ethyl acetate. Anhydrous Na<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>SO<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> was
added to remove remaining water. The solvent was evaporated and extracts
re-dissolved in pyridine. For quantification, subsamples were derivatized
with bis-trimethylsilyl-trifluoroacetamide (BSTFA) <inline-formula><mml:math display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula>1 %
trimethylchlorosilane (TMCS) and analyzed on a gas chromatograph/mass
spectrometer (GC–MS, Agilent) in full scan mode using a DB5-MS capillary
column (60 m <inline-formula><mml:math display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 250 <inline-formula><mml:math display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>m, 0.25 <inline-formula><mml:math display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>m stationary phase
thickness, Agilent J&amp;W) with a temperature profile of initially
60 <inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C followed by a ramp of 5 <inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C min<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> until reaching
and holding 300 <inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C for 5 min. The quantification of lignin phenols,
benzoic acids and <inline-formula><mml:math display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula>-hydroxybenzenes was achieved by comparison to the
response factors (key ions) of commercially available standards. For
cutin-derived products, fatty acids and dicarboxylic acids the response
factor of trans-cinnamic acid was used as in Goñi et al. (1998).</p>
</sec>
<sec id="Ch1.S2.SS6.SSS2">
  <title>Solvent-extractable lipids</title>
      <p>Wax lipids were extracted by means of accelerated solvent extraction (Dionex
ASE 300) using dichloromethane : methanol (<inline-formula><mml:math display="inline"><mml:mrow><mml:mn mathvariant="normal">9</mml:mn><mml:mo>:</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula>) according to the method
described by Wiesenberg et al. (2004). Pre-rinsed stainless-steel vessels
were loaded with <inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 3 g of freeze-dried sediment, filled up with
pre-combusted glass beads and pre-combusted glass fiber filters at both ends.
Two extraction cycles were performed per sample applying a static pressure of
1500 psi and a temperature of 80 <inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C for 5 min after a heating
phase of 5 min. The flush volume was 50 % of the 34 mL cell size with a
purging time of 100 s.</p>
      <p>Extracts were further purified (addition of activated Cu for sulfur and
anhydrous Na<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>SO<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> for water removal) and then separated into a
neutral and an acid fraction using BondElut cartridges (bonded phase
NH<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>, Varian), eluting with dichloromethane : isopropanol (<inline-formula><mml:math display="inline"><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>:</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula>) for
the neutral and methyl tert-butyl ether with 4 % acetic acid for the
acid fraction according to the method described by van Dongen et al. (2008a).
The neutral fraction was further separated into a polar and a non-polar
fraction with an Al<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>O<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> column. For each of the three compound
classes <inline-formula><mml:math display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>-alkanes (neutral non-polar fraction), <inline-formula><mml:math display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>-alkanols (neutral polar
fraction) and <inline-formula><mml:math display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>-alkanoic acids (acid fraction) <inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 10 mg of one
internal standard, <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>d</mml:mi><mml:mn>50</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>-tetracosane, 2-hexadecanol and
<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>d</mml:mi><mml:mn>39</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>-eicosanoic acid respectively, were added to the sediment samples
prior to extraction. All fractions were then analyzed on a GC–MS (Agilent)
using the same column and temperature program as for the CuO products. The
polar and acid fractions were derivatized with BSTFA <inline-formula><mml:math display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula>1 % TMCS prior to
analysis. Quantification was performed using a five-point calibration curve
with commercially available standards. Here, we only report data for HMW
<inline-formula><mml:math display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>-alkanes and <inline-formula><mml:math display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>-alkanoic acids, where HMW refers to carbon chain lengths
of <inline-formula><mml:math display="inline"><mml:mo>≥</mml:mo></mml:math></inline-formula> 23 for <inline-formula><mml:math display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>-alkanes and <inline-formula><mml:math display="inline"><mml:mo>≥</mml:mo></mml:math></inline-formula> 24 for <inline-formula><mml:math display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>-alkanoic acids.</p>
</sec>
</sec>
</sec>
<sec id="Ch1.S3">
  <title>Results and discussion</title>
      <p>The fate of permafrost-released TerrOC across
the Laptev Sea shelf is controlled by competing processes. Degradation and
sorting, as well as replacement of TerrOC by autochthonous marine organic
matter all co-occur to varying degrees during cross-shelf transport. To
disentangle their effects on the fate of permafrost-released TerrOC we first
report changes in bulk sediment and OC properties and then focus on
differences on the molecular level.</p><?xmltex \hack{\newpage}?>
<sec id="Ch1.S3.SS1">
  <title>Characterization of the transect on a bulk level</title>
      <p>Bulk TOC concentrations decreased across the shelf with highest values
(<inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 2 %) at shallow water depths and lowest values on the shelf edge
(<inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 0.8 %); at high water depths (&gt; 2000 m)
concentrations were slightly higher (<inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 1 %) (Table 1). TOC values
and the general pattern were in accordance with previous data from the Laptev
Sea (Semiletov et al., 2005; Shakhova et al., 2015; Stein and Fahl, 2004;
Vonk et al., 2012) and within the same range of those measured for the North
American Arctic margin (Goñi et al., 2013).</p>
      <p>Normalizing TOC concentrations to the mineral-specific SA helps to understand
the influence of physical sorting and preferential deposition on the observed
TOC trends since SA is correlated to the sediment grain size to a first-order
approximation. To test if the mineral SA is altered by the input of
autochthonous organisms with siliceous or carbonaceous skeleton (e.g.,
silicoflagellates/diatoms or foraminifera/shells respectively), the mineral
composition of the sediments was examined by XRF analysis. There were no
apparent trends with water depth for either SiO<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> <inline-formula><mml:math display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> Al<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>O<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>
or CaO <inline-formula><mml:math display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> Al<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>O<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> (Table 1); therefore, marine production is not
expected to have a measurable effect and SA can thus be regarded as a
conservative parameter. This was also confirmed by low biogenic silica
concentrations for the Laptev Sea reported earlier (&lt; 1.4 %,
Mammone, 1998).</p>
      <p>The relationship between TOC and SA has been widely studied on continental
margins (e.g., Blair and Aller, 2012; Keil et al., 1994; Mayer, 1994). The
TOC <inline-formula><mml:math display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> SA ratios of typical river suspended sediments range between 0.4
and 1 mg m<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> (Mayer, 1994). TOC <inline-formula><mml:math display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> SA ratios
&gt; 1 mg m<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> have been found in areas with high TOC supply
(e.g., river outlets) and where the deposited organic matter had spent little
time under oxic conditions (short OET) (Mayer et al.,
2002). Ratios &lt; 0.4 mg m<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> generally correspond to sediments
from deeper parts of the ocean and long OETs (e.g., Aller and Blair, 2006).
Accordingly, the TOC <inline-formula><mml:math display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> SA values along the Laptev Sea transect displayed
a strong decrease from 2.2 and 1.7 mg m<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> close to the Lena River
delta (water depths of 11 and 7 m, respectively) to about 0.3 mg m<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>
at water depths greater than 2000 m (Fig. 2a), proposing extensive TOC loss
during cross-shelf transport.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F2"><caption><p><bold>(a)</bold> The ratio of total organic carbon (TOC) to mineral
surface area (SA). Typical values for deep sea, river-suspended sediments and
high TOC supply are taken from Blair and Aller (2012). <bold>(b)</bold> The
stable carbon isotopic signal (<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>13</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>C, open boxes) and the
radiocarbon isotopic signal (<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="normal">Δ</mml:mi><mml:mn>14</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>C, filled diamonds). <bold>(c)</bold>
The relationship between TOC <inline-formula><mml:math display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> SA and <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>13</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>C can help to
disentangle two processes occurring simultaneously during cross-shelf
transport: the net loss (i.e., degradation) or sorting (i.e., hydraulically
retaining) of TerrOC leads to a shift towards lower TOC <inline-formula><mml:math display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> SA ratios,
whereas the replacement/dilution with marine OC shifts the isotopic signature
towards higher values.</p></caption>
          <?xmltex \igopts{width=241.848425pt}?><graphic xlink:href="https://bg.copernicus.org/articles/13/5003/2016/bg-13-5003-2016-f02.pdf"/>

        </fig>

      <p>Bulk TOC isotopes have been broadly used to distinguish between organic
matter sources. Radiocarbon isotopes (<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn>14</mml:mn></mml:msup></mml:math></inline-formula>C) convey information about the
age of organic material, with younger OC having higher <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="normal">Δ</mml:mi><mml:mn>14</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>C values.
Marine organic matter produced primarily from CO<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> is expected to have
modern <inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn>14</mml:mn></mml:msup></mml:math></inline-formula>C signatures, whereas permafrost-derived TerrOC has aged both
on land and during transport and has thus more depleted <inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn>14</mml:mn></mml:msup></mml:math></inline-formula>C values. The
<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="normal">Δ</mml:mi><mml:mn>14</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>C values for our Laptev Sea transect were generally low
(&lt; <inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>280 ‰, Fig. 2b, Table 1), suggesting a significant
input of pre-aged TerrOC (as in Vonk et al., 2012). Bulk TOC showed less
depleted <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="normal">Δ</mml:mi><mml:mn>14</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>C signatures with increasing distance from land on the
shelf (from about <inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>500 to about <inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>340 ‰ on the outer shelf),
reflecting a dilution of older TerrOC with younger marine material. On the
slope and rise, however, <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="normal">Δ</mml:mi><mml:mn>14</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>C values decreased again to about
<inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>410 ‰. This difference may be a result of ageing during lateral
transport and/or after deposition due to lower accumulation rates on slope
and rise. The range between <inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>340 and <inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>410 ‰ corresponds to a
<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="normal">Δ</mml:mi><mml:mn>14</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>C age difference of about 900 years; however, the depositional
age differences between shelf and slope samples were estimated to be less
than 80 years (see Sect. 2.2). Ageing after burial alone does therefore not
explain the difference in <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="normal">Δ</mml:mi><mml:mn>14</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>C. Keil et al. (2004) estimated a
lateral transport time of 1800 years across the Washington margin (158 km)
from <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="normal">Δ</mml:mi><mml:mn>14</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>C data of bulk OC in surface sediments. For the
&gt; 200 km distance between mid-shelf and rise a bulk ageing of
900 years does therefore not seem unreasonable, particularly since the
Washington margin, as opposed to the Laptev Sea shelf, is an active margin.
The value from Keil et al. (2004) may therefore be regarded as a lower
boundary. It has to be taken into account, however, that mainly the TerrOC
fraction of the bulk OC is subject to such protracted lateral transport.
Transport times would thus have to be significantly higher in order to
explain this age difference for the entire bulk OC. One indication supporting
this hypothesis of protracted lateral transport of TerrOC is the degradation
status of TerrOC at the deep stations. All molecular degradation proxies
point towards highly reworked material (see Sect. 3.3), suggesting that only
the most refractory TerrOC fraction is found at great water depths off the
continental margin. Alternatively, the lower <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="normal">Δ</mml:mi><mml:mn>14</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>C values at high
water depths may be the consequence of more effective degradation of marine
organic matter throughout the water column, resulting in a comparatively
lower input of young autochthonous material. However, this latter scenario is
not supported by the stable carbon isotopic signature, as values for
<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>13</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>C increase from about <inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>24.3 ‰ on the mid-shelf to
about <inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>22.5 ‰, suggesting a higher fraction of marine organic
matter for the deep stations.</p>
      <p>For stable carbon isotopes (<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn>13</mml:mn></mml:msup></mml:math></inline-formula>C), terrigenous sources are generally more
depleted than marine organic matter (Fry and Sherr, 1984). In this study,
values for <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>13</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>C of TOC ranged between <inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>26.5 and
<inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>22.3 ‰. The trend towards more enriched TOC with increasing
distance from the coast (Fig. 2b, Table 1) can be explained by a growing
proportion of marine organic matter. However, the <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>13</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>C signature of
the marine source appeared to be heavier than typical marine planktonic
material in that region (<inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>26.7 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 1.2 ‰, Panova et al., 2015;
<inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>24 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 3 ‰, Vonk et al., 2012, and references therein). One
possible explanation for this discrepancy is an underestimated influence of
ice algae that were reported to have highly enriched <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>13</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>C values
between <inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>15 and <inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>18 ‰ (Schubert and Calvert, 2001). Significant
seafloor deposition of ice algal biomass has been observed previously for the
Arctic basins (Boetius et al., 2013). Another option would be a more
refractory, isotopically enriched marine endmember (<inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>21.2 ‰) as
suggested by Magen et al. (2010). They argue that lighter isotopes are
preferentially consumed by bacteria, which in turn enriches the remaining
marine organic matter. Following their reasoning, the more enriched values
observed for this transect may be interpreted as an increasing proportion of
refractory marine organic matter.</p>
      <p>Winterfeld et al. (2015b) analyzed surface water POC in the Lena River delta and found a mean <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>13</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>C of
<inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>29.6 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 1.5 ‰. Karlsson et al. (2011) reported similarly
depleted <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>13</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>C values for POC from the Buor-Khaya Bay
(<inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>29.0 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 2.0 ‰), while their mean value for sedimentary OC
for the same stations was significantly more enriched
(<inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>25.9 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.4 ‰) and agreed well with our data for the
shallow stations (<inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>26.2 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.3 ‰, stations YS-13, YS-14 and
TB-46). Lena River POC <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>13</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>C values from high-discharge periods
agree well with the more enriched values we found for the shallow stations
(Rachold and Hubberten, 1998). Stein and Fahl (2004), Semiletov et al. (2011,
2012) and Vonk et al. (2012) presented similar <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>13</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>C ranges and
trends for sediments from parts of the Laptev Sea as is reported in the
current study for the entire width of the Laptev Sea shelf. For the Arctic
Amerasian Continental shelf, Naidu et al. (2000) reported contrasts in
absolute <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>13</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>C values comparing surface sediment samples from
different regions, but all commonly displayed an increasing trend for
<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>13</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>C values across the shelf, suggesting a growing fraction of
marine organic matter with increasing distance from the coast.</p>
      <p>Combining TOC <inline-formula><mml:math display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> SA ratios with stable isotope signatures (<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>13</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>C)
may serve to disentangle two different processes, which occur synchronously
during cross-shelf transport (as in Keil et al. 1997a): (1) the net loss of
TerrOC and (2) the replacement of TerrOC with autochthonous marine OC. Net
loss of TerrOC, caused by either degradation or hydrodynamic sorting during
transport, has been quantified previously using TOC <inline-formula><mml:math display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> SA ratios (e.g.,
Aller and Blair, 2006; Keil et al., 1997a). The carrying capacity of
inorganic particles for OC is assumed to be a function of the SA (Mayer,
1994); a decrease in TOC <inline-formula><mml:math display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> SA values can therefore be regarded as TOC net
loss.</p>
      <p>Replacement of TerrOC with autochthonous marine OC does not change this
ratio. However, since marine OC is known to be isotopically enriched in <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>13</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>C over TerrOC, this process is recorded by an increasing isotopic
signature. Along the Laptev Sea transect, both processes seemed to play an
important role (Fig. 2c). High TOC <inline-formula><mml:math display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> SA values close to the Lena River
decreased sharply outbound in the nearshore regime, pointing to extensive net
loss, while the increase in <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>13</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>C values was minor in this area.
Once TOC <inline-formula><mml:math display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> SA ratios were &lt; 0.8 mg m<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> (water depths
&gt; 20 m), the isotopic changes and thus the replacement of TerrOC
with marine OC became increasingly important. Similar trends were observed
for the Amazon River delta (Keil et al., 1997b).</p>
      <p>However, the TOC <inline-formula><mml:math display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> SA trend in the shallower sediments is likely driven
by both degradation of OC bound to the mineral matrix during cross-shelf
transport and sorting of vascular plant fragments that are retained in the
inner shelf. A recent study (Tesi et al., 2016) showed that <inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 50 % of the
total OC pool in the inner Laptev shelf surface sediments exists in the form
of large vascular plant fragments. They are trapped close to the coast due to
their size and resulting settling (Stoke's law), while the OC bound to the
fine mineral matrix is more buoyant and transported offshore towards deeper
waters.</p>
</sec>
<sec id="Ch1.S3.SS2">
  <title>Molecular indicators of organic matter sources</title>
<sec id="Ch1.S3.SS2.SSS1">
  <title>Biomarker distributions</title>
      <p>The abundances of different source-diagnostic molecular proxies have been
extensively investigated to elucidate complex carbon-cycling mechanisms. In
this study, a biomarker suite of CuO oxidation products and
solvent-extractable lipids was analyzed in order to gain more insights on
TerrOC sources and degradation status along the Laptev Sea transect. All
biomarker concentrations were normalized to the sediment-specific SA instead of OC content to avoid the signals being overshadowed by
other carbon pools. As shown by the lack of water-depth-related changes in
the mineral composition (Sect. 3.1), mineral-matrix dilution by biogenic
material is negligible.</p>
      <p>Lignin-derived phenols have been widely used to trace TerrOC in the marine
environment (e.g., Ertel and Hedges, 1984; Goñi and Hedges, 1995; Hedges
and Mann, 1979). The lignin macro-molecule is only synthesized in vascular
plants (and certain seaweed species that are not existing in the study area)
to render stability to the cell walls. Lignin-derived phenols are typically
grouped by phenol type (V: vanillyl phenols, i.e., vanillin, acetovanillone
and vanillic acid; S: syringyl phenols, i.e., syringaldehyde, acetosyringone
and syringic acid; C: cinnamyl phenols, i.e., <inline-formula><mml:math display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula>-coumaric and ferulic
acids). Total lignin refers to the sum of the three groups. Across the shelf,
lignin loadings decreased substantially with increasing distance from the
coast/water depth (45 <inline-formula><mml:math display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>g m<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> close to the coast and
0.43 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.09 <inline-formula><mml:math display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>g m<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> for the deep stations; loss of
99.1 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.2 %, Fig. 3a, Table 2).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F3"><caption><p>Terrigenous biomarker loadings across the shelf: <bold>(a)</bold> lignin
phenols and cutin acids; <bold>(b)</bold> HMW <inline-formula><mml:math display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>-alkanes and HMW <inline-formula><mml:math display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>-alkanoic
acids. <bold>(c)</bold> Comparison between the different biomarkers along the
transect: lignin phenols, cutin acids, HMW <inline-formula><mml:math display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>-alkanoic acids and <inline-formula><mml:math display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>-alkanes
where each is normalized to respective highest value (corresponding to
100 %).</p></caption>
            <?xmltex \igopts{width=241.848425pt}?><graphic xlink:href="https://bg.copernicus.org/articles/13/5003/2016/bg-13-5003-2016-f03.pdf"/>

          </fig>

      <p>Cutin-derived hydroxy fatty acids are another compound class obtained from
CuO oxidation, which have been used in parallel with lignin phenols (e.g.,
Goñi et al., 2000; Prahl et al., 1994). They are mainly associated with
the soft tissues of vascular plants such as leaves and needles. Cutin acid
loadings displayed a similar trend as lignin phenols
(11 <inline-formula><mml:math display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>g m<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> close to the coast,
0.061 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.010 <inline-formula><mml:math display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>g m<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> for the deep stations; loss of
99.4 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.1 %, Fig. 3a, Table 2).</p>
      <p>Similar values and sharp declines with increasing distance from the coast for
lignin and cutin have been observed for the whole ESAS (Tesi et al., 2014) (Fig. 4 for comparison of lignin phenol
concentrations with literature values for different Arctic margins). A recent
study (Winterfeld et al., 2015a) for the Buor-Khaya Bay (5.8–17 m water
depth) reported lignin phenol concentrations on the same order of magnitude,
up to 40 % higher for the shallowest samples, and decreasing with
increasing depth. For the Beaufort Sea shelf, Goñi et al. (2000) found a
less drastic decline in lignin phenols and cutin acids going from 5 m water
depth to 210 m, which likely reflected both lower concentrations in the
shallow waters (factor of <inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 2) and a narrower and steeper shelf.
Lignin phenols were also higher at greater water depths than on the ESAS.
This may reflect the differences in bathymetry: since the Beaufort Sea shelf
is not as wide as, but steeper than, the ESAS, lateral transport is possibly
faster, leaving less time for organic matter to be degraded along the way. A
comparison between different shelf–slope systems across the North American
Arctic margin (Goñi et al., 2013) revealed very low lignin and cutin
concentrations for the Canadian Archipelago, Lancaster Sound and Davis
Strait, whereas both concentrations and trends with water depth for the
Beaufort Sea, Chukchi Sea and Bering Sea were similar to the results from
this study. An exception to these patterns was Barrow Canyon, where at water
depths of &gt; 2000 m lignin and cutin concentrations were as high
as the ones observed close to the Lena River delta, pointing to efficient
rapid TerrOC transfer with comparably short OETs through
this active canyon (Goñi et al., 2013) (Figs. 4 and S1).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F4" specific-use="star"><caption><p>A comparison of lignin phenol data from this project to values
from published studies around the Arctic Ocean. Similar decreasing trends
with increasing water depth are observed for all systems but Barrow Canyon,
where elevated lignin phenols concentrations are found even at depth of
&gt; 1000 m.</p></caption>
            <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://bg.copernicus.org/articles/13/5003/2016/bg-13-5003-2016-f04.pdf"/>

          </fig>

      <p><?xmltex \hack{\newpage}?>Solvent extractable HMW <inline-formula><mml:math display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>-alkanes and <inline-formula><mml:math display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>-alkanoic acids make up the major
part of epicuticular leaf waxes (Eglinton and Hamilton, 1967) and have been
broadly employed as TerrOC biomarkers (for the Arctic Ocean, e.g., in van
Dongen et al., 2008; Yunker et al., 1995, 2005). HMW wax lipids in this study
also presented a decreasing trend with increasing water depth/distance from
the coast, but to a lesser extent than lignin phenols or cutin acids (HMW
<inline-formula><mml:math display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>-alkanes: 1.1 <inline-formula><mml:math display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>g m<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> close to the coast,
0.12 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.02 <inline-formula><mml:math display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>g m<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> for the deep stations; HMW
<inline-formula><mml:math display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>-alkanoic acids: 12 <inline-formula><mml:math display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>g m<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> close to the coast,
0.42 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.29 <inline-formula><mml:math display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>g m<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> for the deep stations; loss of
89 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 2 and 96 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 3 %, respectively, Fig. 3b, Table 2).</p>
      <p>Previous studies in the same area reported similar lipid biomarkers
concentrations, which confirm the magnitude of the decreasing trends with
increasing water depth (Karlsson et al., 2011; Vonk et al., 2010) (Fig. S1 in
the Supplement). HMW <inline-formula><mml:math display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>-alkane concentrations in the Beaufort and the
Chukchi Sea (Belicka et al., 2004; Yunker et al., 1993) are in accordance
with the ones measured on the ESAS, but the shallowest sample on the Beaufort
Shelf is <inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 2 times lower than the shallow ESAS samples (Fig. S1). This
might imply that sediments transported by the Mackenzie River to the Beaufort
Shelf have lower TerrOC concentrations than Lena River transported sediments.
For the Mackenzie Shelf, Goñi et al. (2000) used lignin phenols and cutin
acids to estimate a terrigenous <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>13</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>C endmember and therewith
derived a terrigenous contribution of almost 80 % for the shallowest
sediments, while rough estimates from C <inline-formula><mml:math display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> N and <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>13</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>C data
suggested that TerrOC made up only 30–50 % of the organic carbon
(Macdonald et al., 2004). For the Lena Delta, source apportionment
calculations using <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>13</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>C and <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="normal">Δ</mml:mi><mml:mn>14</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>C data attributed up to
83 % of the organic carbon to terrigenous sources (Vonk et al., 2012).</p>
      <p>All TerrOC biomarker loadings displayed a strong decrease across the shelf,
but their relative losses differ substantially between compound classes
(Fig. 3c). These findings agree with previous results for the ESAS (Tesi et
al., 2014), where similar differences between biomarkers were reported. A
somewhat larger decrease was observed for lignin than for cutin, in contrast
to this study. The different extents of biomarker losses for the different
compound classes may either be attributed to preferential degradation of
lignin phenols and cutin acids, implying that they are more labile than HMW
<inline-formula><mml:math display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>-alkanes and <inline-formula><mml:math display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>-alkanoic acids, or sorting during transport, suggesting
that they are associated with a sediment fraction that is hydraulically more
retained and carried less efficiently to the outer shelf/slope. A recent
study (Tesi et al., 2016) aimed to disentangle these two processes by
analyzing different fractions of bulk surface sediments from three transects
(yet with only three stations each) across the ESAS. The fractions were
separated according to density (1.8 g cm<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> cutoff), size
(&gt; 63, 38–63, &lt; 38 <inline-formula><mml:math display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>m) and settling velocity
(1 m d<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> cutoff). The highest lignin phenol abundance was found in
low-density plant fragments (26–55 mg g<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> OC). These large particles
have a higher settling velocity (Stokes' law) and are therefore hydraulically
retained close to the coast. Cutin acids and plant wax lipids were mainly
associated with the high-density fine (&lt; 38 <inline-formula><mml:math display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>m,
&gt; 1 m d<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> and ultrafine (&lt; 38 <inline-formula><mml:math display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>m,
&lt; 1 m d<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> mineral fractions. Within the fine and ultrafine
fractions, which made up about 95 % of the organic carbon on the outer
shelf, they found drastic losses of all biomarkers with increasing distance
from the coast, which they attributed to degradation during the protracted
cross-shelf transport. Relative decreases appeared to depend on the number of
functional groups of the compound class: 98 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 1 % for lignin
phenols, 97 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 1 % for cutin acids, 96 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 1 % for HMW
<inline-formula><mml:math display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>-alkanoic acids and 89 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 4 % for HMW <inline-formula><mml:math display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>-alkanes. According to
that study, the steep cross-shelf gradients observed here for lignin phenols
can be attributed to both hydrodynamic sorting close to the coast and
degradation during transport. From the data in the current study alone, the
two processes occurring in parallel – degradation and sorting during
cross-shelf transport – cannot be disentangled. However, using the data from
Tesi et al. (2016), we can make a rough correction for the sorting part to
derive an estimate of the net extent of degradation. For the shallowest
station in their study (same as here, TB-46), about 75 % of the lignin
phenols were associated with the low-density fraction that was retained close
to the coast. If we thus assume only 25 %, i.e., 11, of the
45 <inline-formula><mml:math display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>g m<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> to be associated with the fine fraction that is
actually transported across the shelf, we obtain a reduction by
96 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 1 % that can be attributed to degradation (compared to
99.1 % net loss). These results agree with the values presented in Tesi
et al. (2016). For the other compounds analyzed 55–74 % are associated
with the fine fraction even for the shallowest station and they therefore
experience sorting to a lesser extent.</p>
      <p>Degradation after burial is assumed to play only a minor role. Differences in
sedimentation ages are expected to be small (Sect. 2.1) and a study on
centennial-scale sediment cores from the East Siberian Sea (Bröder et
al., 2016) detected no significant TerrOC degradation (as recorded by
biomarker loss) with increasing sediment depth. Also in that study, lignin
phenol and cutin acid loadings were on average 20 times higher on the inner
than on the outer shelf, whereas for HMW <inline-formula><mml:math display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>-alkanoic acids and <inline-formula><mml:math display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>-alkanes
the difference between inner and outer shelf was only a factor of
<inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 3–5. Contrasts between the stations were found to be larger than
down-core changes. This may be due to the fact that the cores in that study
only encompassed about 1 century of sedimentation ages, while the protracted
cross-shelf transport likely requires much longer timescales.</p>
</sec>
<sec id="Ch1.S3.SS2.SSS2">
  <title>Lignin phenol sources</title>
      <p>Relative distributions of different lignin phenol classes reveal more
information on TerrOC sources since they are specific to different plant
types. Syringyl phenols are not produced by gymnosperm (non-flowering)
plants; elevated syringyl to vanillyl ratios (i.e.,
S <inline-formula><mml:math display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> V &gt; 1, Hedges and Parker, 1976) are therefore attributed
to more lignin phenols from angiosperm (flowering) plants. These ratios have
to be handled with care, though, because the preferential degradation of
syringyl phenols by white- and brown-rot fungi on land can also alter
S <inline-formula><mml:math display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> V ratios (Hedges et al., 1988). S <inline-formula><mml:math display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> V values for the Laptev Sea
transect increased with increasing water depth from <inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 0.65 for the
inner shelf to <inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 1.0 for the slope/rise sediments (Fig. 5a, Table 2).
This trend can either be explained by preferential degradation of gymnosperm
material or sorting during transport. Tesi et al. (2014) measured generally
lower values for S <inline-formula><mml:math display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> V (ESAS average: 0.47; for only
Lena-watershed-dominated locations: 0.42) recording no trend with water depth
(Fig. S1 for comparisons with other studies). Their deepest station was
located at only 69 m water depth, though, whereas in this study sediments
from down to 3146 m water depth were analyzed. S <inline-formula><mml:math display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> V ratios in
Buor-Khaya Bay surface sediments (Winterfeld et al., 2015a) were also lower
(0.43 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.02 on average) and displayed no trend with water depth.
Within the water depth interval they studied (5.8–17 m), however, the
samples analyzed in this study had also quite homogeneous S <inline-formula><mml:math display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> V ratios
(0.64 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.02). Two sediment cores from the East Siberian Sea
(Bröder et al., 2016) showed also lower S <inline-formula><mml:math display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> V values (inner shelf
surface sediment: 0.62; outer shelf surface sediment: 0.50), displaying no
clear trends over time/down-core. For the Beaufort Sea shelf Goñi et
al. (2000) detected rather high values (0.54–1.71), which (besides the very
high value at 61 m water depth) agree with the data from this study. Other
transects across the North American Arctic margin (Goñi et al., 2013) had
slightly lower S <inline-formula><mml:math display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> V ratios with no observed trends with water depth.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F5"><caption><p>The lignin phenol composition carries source information.
<bold>(a)</bold> an increasing ratio of syringyl to vanillyl phenols (S <inline-formula><mml:math display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> V)
suggests relatively more angiosperm material. <bold>(b)</bold> A decreasing ratio
of cinnamyl to vanillyl phenols (C <inline-formula><mml:math display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> V) implies an increasing relative
contribution of woody material compared to soft tissues. <bold>(c)</bold>
Comparison of S <inline-formula><mml:math display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> V and C <inline-formula><mml:math display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> V with the endmembers for different
Arctic plants as compiled from different studies by Amon et al. (2012, and
references therein, here marked with 1); ice-complex deposit and topsoil
permafrost as determined by Tesi et al. (2014, here marked with 2) and more
plant species measured by Winterfeld et al. (2015a, here marked with 3). The
boxes indicate typical ranges of S <inline-formula><mml:math display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> V and C <inline-formula><mml:math display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> V for different
vascular plant tissues in different locations (e.g., Goñi et al., 2000).</p></caption>
            <?xmltex \igopts{width=241.848425pt}?><graphic xlink:href="https://bg.copernicus.org/articles/13/5003/2016/bg-13-5003-2016-f05.pdf"/>

          </fig>

      <p>The ratio of cinnamyl to vanillyl phenols (C <inline-formula><mml:math display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> V) is associated with the
relative contributions of woody vs. soft material because only non-woody
vascular plants synthesize cinnamyl phenols (Hedges and Mann, 1979a). This
ratio admittedly decreases with ongoing degradation (Opsahl and Benner, 1995)
and may therefore not be used as an unambiguous source indicator. We observed
that C <inline-formula><mml:math display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> V values strongly decreased across the Laptev Sea Shelf from
<inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 0.5 (close to the Lena River outlet) to <inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 0.1 (on the
slope/rise, Fig. 5b, Table 2), which may reflect the preferential degradation
of soft tissues. This trend is not likely caused by hydrodynamic sorting,
since typically the larger, low-density, woody plant fragments are retained
in shallower water, whereas finer material is transported further across the
shelf (e.g., Keil et al., 1994; Tesi et al., 2016).</p>
      <p>C <inline-formula><mml:math display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> V ratios in Buor-Khaya Bay sediments (Winterfeld et al., 2015a) in
shallow waters were on average lower and more homogeneous (0.17 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.03)
than those measured in this study (0.41 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.12 for the corresponding
depth interval) (Fig. S1 for comparisons with other studies). C <inline-formula><mml:math display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> V
values for the entire ESAS were on average 0.15 (0.14 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.07 for only
Lena-dominated waters) with no water depth trend (Tesi et al., 2014). In
shallow sediment cores from the East Siberian Sea, Bröder et al. (2016)
measured C <inline-formula><mml:math display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> V ratios of 0.20 (inner shelf) and 0.13 (outer shelf) for
the surface sediments with no significant trend over sediment depth. For the
Mackenzie Shelf C <inline-formula><mml:math display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> V values ranged between 0.16 and 0.32 and slightly
increased with increasing water depth (Goñi et al., 2000). In contrast,
in the Bering Sea, Chukchi Sea, Barrow Canyon, Canadian Archipelago,
Lancaster Sound and Davis Strait there were no C <inline-formula><mml:math display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> V trends observed
(Goñi et al., 2013), with lower values in the Canadian part
(0.10 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.12) and highest values on the Beaufort Sea slope, where
values slightly decreased with increasing depth (0.39 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.07).</p>
      <p>A comparison to the S <inline-formula><mml:math display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> V–C <inline-formula><mml:math display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> V signatures of potential Arctic plant
endmembers (compiled by Amon et al., 2012, and citations therein, Tesi et
al., 2014, and Winterfeld et al., 2015a) showed that lignin phenols likely
derive from both angiosperm and gymnosperm soft tissues in the shallower samples,
closely matching with willow (<italic>Salix</italic>) tissues measured by Winterfeld
et al. (2015a). With increasing water depths, angiosperm wood became the most
important source material, while gymnosperm wood, grasses and mosses did not
appear to contribute significantly to the overall lignin phenol fingerprint
(Fig. 5c). As discussed earlier, this trend may well be a result of
preferential degradation and sorting during cross-shelf transport and not
derive from actual changes in source material.</p>
</sec>
</sec>
<sec id="Ch1.S3.SS3">
  <title>Degradation status of organic matter</title>
      <p>During degradation, syringyl and vanillyl phenol aldehydes are oxidized to
carboxylic acids of the same phenol group. Increasing Sd <inline-formula><mml:math display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> Sl and
Vd <inline-formula><mml:math display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> Vl ratios can therefore qualitatively indicate ongoing degradation
of lignin phenols (Ertel and Hedges, 1984; Hedges et al., 1988). For fresh
plant material typical acid-to-aldehyde ratios are around 0.1–0.2 (Hedges et
al., 1988). Winterfeld et al. (2015a), however, found values as high as
Sd <inline-formula><mml:math display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> Sl <inline-formula><mml:math display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 0.80 and Vd <inline-formula><mml:math display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> Vl <inline-formula><mml:math display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 0.67 for a moss species
(<italic>Aulacomnium turgidum</italic>), Sd <inline-formula><mml:math display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> Sl <inline-formula><mml:math display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 0.87 for larch
(<italic>Larix</italic>) needles and Sd <inline-formula><mml:math display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> Sl <inline-formula><mml:math display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 0.49 Vd <inline-formula><mml:math display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> Vl <inline-formula><mml:math display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 0.41
for wild rosemary (<italic>Ledum palustre</italic>). Sedges (<italic>Carex spp.</italic>),
dwarf birch (<italic>Betula nana</italic>) and willow (<italic>Salix</italic>) range between
Sd <inline-formula><mml:math display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> Sl <inline-formula><mml:math display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 0.13–0.24 and Vd <inline-formula><mml:math display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> Vl <inline-formula><mml:math display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 0.18–0.23.</p>
      <p>The ratio of CuO oxidation-derived 3,5-dihydroxybenzoic acid to vanillyl
phenols (3,5-Bd <inline-formula><mml:math display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> V) also serves as a proxy for degradation as 3,5-Bd is
formed during humification likely occurring in soils (Gordon and Goñi,
2004; Hedges et al., 1988; Prahl et al., 1994; Tesi et al., 2014). For this
reason, this proxy can trace mineral-rich soil organic matter in contrast to
vascular plant debris (e.g., Dickens et al., 2007; Prahl et al., 1994) as
well as degradation during cross-shelf transport (Tesi et al., 2016).</p>
      <p>Sd <inline-formula><mml:math display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> Sl, Vd <inline-formula><mml:math display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> Vl and 3,5-Bd <inline-formula><mml:math display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> V all increased along the transect,
implying more degraded material with increasing residence time in the shelf
system (Fig. 6a, Table 2). There appeared to be no differences between outer
shelf/slope and rise, which may indicate that TerrOC on the slope is already
highly reworked. In contrast, Tesi et al. (2014) found no correlation between
Sd <inline-formula><mml:math display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> Sl or Vd <inline-formula><mml:math display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> Vl and distance from the coast, while 3,5-Bd <inline-formula><mml:math display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> V
significantly increased with increasing distance from the coast (Fig. S2 for
comparisons with other studies). Sd <inline-formula><mml:math display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> Sl values for the Buor-Khaya Bay
from Winterfeld et al. (2015a) were slightly higher (1.04 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.24) than
samples from the corresponding water depths in this study
(0.66 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.15), whereas Vd <inline-formula><mml:math display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> Vl values were significantly higher
(1.28 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.30 compared to 0.59 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.14). Measurements for the
Mackenzie Shelf agreed with the ones in this study
(Sd <inline-formula><mml:math display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> Sl <inline-formula><mml:math display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 0.81 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.25 compared to 1.01 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.33 for the
corresponding water depths; Vd <inline-formula><mml:math display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> Vl <inline-formula><mml:math display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 0.69 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.14 to
0.86 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.26; 3,5-Bd <inline-formula><mml:math display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> V <inline-formula><mml:math display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 0.19 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.04 to
0.31 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.15) but did not show a trend with water depth (Goñi et
al., 2000).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F6"><caption><p>Degradation proxies for TerrOC, where blue triangles point toward
lower extent of degradation: <bold>(a)</bold> CuO-oxidation-derived ratios
Sd <inline-formula><mml:math display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> Sl, Vd <inline-formula><mml:math display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> Vl and 3,5-Bd <inline-formula><mml:math display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> V. <bold>(b)</bold> Carbon preference
indices (CPI) of HMW <inline-formula><mml:math display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>-alkanes and <inline-formula><mml:math display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>-alkanoic acids and the ratio of HMW
<inline-formula><mml:math display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>-alkanoic acids to HMW <inline-formula><mml:math display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>-alkanes.</p></caption>
          <?xmltex \igopts{width=241.848425pt}?><graphic xlink:href="https://bg.copernicus.org/articles/13/5003/2016/bg-13-5003-2016-f06.pdf"/>

        </fig>

      <p>Tesi et al. (2016) observed lower acid/aldehyde ratios for the lignin-rich
low-density fraction compared to the other fractions (high density with
different grain sizes and settling velocities) in coastal surface sediments
from the ESAS. With increasing distance from the coast, these values
increased, whereas for the other fractions there were no apparent trends.
These findings were interpreted as relatively fresh lignin in the low-density
fraction (rich in large plant fragments) compared to the relatively degraded
lignin that had likely experienced leaching and adsorbed to the fine mineral
fractions (i.e., mineral-bound OC). Bulk 3,5-Bd <inline-formula><mml:math display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> V values are
potentially affected by both sorting and degradation, as they increased with
decreasing particle size (fine and ultrafine fractions had the most degraded
signal and are preferentially transported to the outer shelf) and across the
shelf in each of the fractions.</p>
      <p>The carbon preference indices for HMW <inline-formula><mml:math display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>-alkanes and HMW <inline-formula><mml:math display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>-alkanoic acids
have also been widely applied as degradation proxies for plant waxes in
marine sediments (for the ESAS, e.g., van Dongen et al., 2008; Fahl and
Stein, 1997; Fernandes and Sicre, 2000; Vonk et al., 2010). It measures the
ratio of odd-to-even numbers of carbon chain lengths of HMW lipids and is
based on the preference of odd carbon chain lengths for HMW <inline-formula><mml:math display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>-alkanes in
fresh plant material (even carbon chain lengths for HMW <inline-formula><mml:math display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>-alkanoic acids;
Eglinton and Hamilton, 1967). With ongoing degradation this preference is
lost and the CPI approaches 1 (Bray and Evans, 1961).</p>
      <p>We observed that the HMW <inline-formula><mml:math display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>-alkane CPI presented a similar pattern to that
of the lignin-phenol-based degradation indices. However, the HMW <inline-formula><mml:math display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>-alkanoic
acid CPI did not show as much of a degradation trend (HMW <inline-formula><mml:math display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>-alkane CPI:
<inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 5.7 close to the coast, <inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 2.2 for the deep stations; HMW
<inline-formula><mml:math display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>-alkanoic acids: <inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 5.4 close to the coast, <inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 4.1 for the deep
stations; Fig. 6b, Table 2). Karlsson et al. (2011) measured lipid CPIs in
the Buor-Khaya Bay with 10–80 km distance to the coast and obtained similar
results to this <inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 800 km cross-shelf study, with higher values closer
to the river delta (Fig. S2 for comparisons with other studies). Their data
appear to have a wider spread, though, which might be due to the narrower
dynamic range. Fahl and Stein (1997) also reported a large range of
<inline-formula><mml:math display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>-alkane CPI values (&lt; 0.2 to &gt; 5) for Laptev Sea
sediments. Fernandes and Sicre (2000) analyzed sediments from the Kara Sea
and from the major rivers discharging into this sea, the Ob and Yenisei
rivers. In the marine environment and the Ob River, they observed HMW
<inline-formula><mml:math display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>-alkane CPI values between 4.8 and 5.3, similar to those found at shallow
water depths in this study. For the Yenisei River and mixing zone, they found
higher CPI values, pointing to fresher material being transported there. Vonk
et al. (2010) recorded HMW <inline-formula><mml:math display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>-alkane CPI values for sediments along the East
Siberian Sea–Kolyma paleoriver transect (across the East Siberian Sea) shelf
that decreased from &gt; 7.5 to &lt; 4.0 with increasing
distance from the river mouth, overall higher than in this study but
confirming the general trend to more degraded material on the outer shelf.
Tesi et al. (2016) found HMW <inline-formula><mml:math display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>-alkanoic acid CPI values to decrease with
decreasing particle size with no significant trends across the shelf in all
but the low-density fraction, which is largely retained close to the shore.
The HMW <inline-formula><mml:math display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>-alkane CPI values in that study, however, showed no systematical
differences between different fractions, but an overall decreasing trend with
increasing distance from the coast.</p>
      <p>When undergoing degradation, HMW <inline-formula><mml:math display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>-alkanoic acids may also lose their
functional groups, turning them into HMW <inline-formula><mml:math display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>-alkanes (Meyers and Ishiwatari,
1993). The slightly decreasing ratio of HMW <inline-formula><mml:math display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>-alkanoic acids to <inline-formula><mml:math display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>-alkanes
also hints at more degraded material with increasing water depth, although,
due to a rather large variability, this trend is not significant (Fig. 6b,
Table 2). For the Buor-Khaya Bay surface sediments Karlsson et al. (2011)
obtained similar results (0.48–10.7, here 1.1–10.9) with higher values
closer to the river delta (Fig. S2 for comparisons with other studies). Along
the Kolyma paleoriver transect, Vonk et al. (2010) measured HMW <inline-formula><mml:math display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>-alkanoic
acid to <inline-formula><mml:math display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>-alkane ratios between 1 and 6 with no clear trend with increasing
distance from the river mouth. Tesi et al. (2016) found decreasing values
with increasing distance from the coast with no differences between the
fractions. Two sediment cores from inner and outer East Siberian Sea
recording about 1 century of sedimentation showed no clear trend in CPI or
HMW <inline-formula><mml:math display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>-alkanoic acid <inline-formula><mml:math display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> <inline-formula><mml:math display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>-alkane towards more degraded TerrOC with
increasing sediment depth (Bröder et al., 2016), but displayed a similar
difference between inner and outer shelf as seen in this study. This
contrasting behavior for cross-shelf and down-core trends may be caused by
significantly different timescales for the two processes: about a century in
situ/after burial compared to potentially several millennia long lateral
transport. Furthermore, the degradation efficiency is likely higher under the
oxic conditions prevailing during cross-shelf lateral transport (Keil et al.,
2004) than in the anoxic conditions that predominate below a few millimeters
of sediments on the ESAS (e.g., Boetius and Damm, 1998). Comparing in situ to
transport-related OETs on the wide Arctic shelves could potentially resolve
the observed discrepancies.</p>
</sec>
</sec>
<sec id="Ch1.S4" sec-type="conclusions">
  <title>Concluding remarks and future research directions</title>
      <p>Across the Laptev Sea from the Lena River mouth to the deep sea of the Arctic
interior a considerable loss of TerrOC has been observed on both bulk and
molecular level. All terrestrial
biomarkers display a massive decline with increasing water depth along this
high-resolution transect due to hydrodynamic sorting and degradation during
transport. TerrOC seems to be also qualitatively more degraded on the outer
shelf, slope and rise compared to inner shelf and coastal areas.</p>
      <p>These results corroborate and expand previous findings for the East Siberian
Arctic Shelf, showing that the shelf seas in this region function as an
active reactor for TerrOC. Since the East Siberian Arctic Shelf belongs to
the widest and shallowest continental margins on Earth, cross-shelf transport
times and thus the time spent in oxic sediments are expected to be
comparatively long. This stands in contrast to, e.g., the Mackenzie basin,
which is thought to act as a geological sink for organic carbon due to its
TerrOC burial (Hilton et al., 2015). For narrower Arctic shelves in general,
where transport times can be expected to be much shorter, organic matter
transfer towards the deeper basins appears to be much more efficient, with
high TerrOC concentrations in surface sediments even at greater water depths
(e.g., Barrow Canyon; Goñi et al., 2013). It can therefore be assumed that
the cross-shelf transport time exerts first-order control over the extent of
TerrOC degradation. With ongoing global warming, rising permafrost-derived
organic carbon input from river-sediment discharge and coastal erosion is
expected to reach the marine environment. It is therefore crucial to better
constrain cross-shelf transport times in order to determine a TerrOC
degradation rate and thereby contribute to quantifying potential
carbon–climate feedbacks.</p>
</sec>
<sec id="Ch1.S5">
  <title>Data availability</title>
      <p>Data used to generate all figures are available in the paper as tables and on
the Bolin Centre Database at <uri>http://bolin.su.se/data/Broder-2016-2</uri>.</p>
</sec>

      
      </body>
    <back><app-group>
        <supplementary-material position="anchor"><p><bold>The Supplement related to this article is available online at <inline-supplementary-material xlink:href="http://dx.doi.org/10.5194/bg-13-5003-2016-supplement" xlink:title="pdf">doi:10.5194/bg-13-5003-2016-supplement</inline-supplementary-material>.</bold></p></supplementary-material>
        </app-group><ack><title>Acknowledgements</title><p>We thank crew and personnel of the IB <italic>ODEN</italic>, the R/V <italic>Yakob Smirnitskyi</italic> and the <italic>TB0012</italic>. The SWERUS-C3 and the International
Siberian Shelf Study 2008 (ISSS-08) expeditions were supported by the Knut
and Alice Wallenberg Foundation, Headquarters of the Far Eastern Branch of
the Russian Academy of Sciences, the Swedish Research Council (VR contract
no. 621-2004-4039, 621-2007-4631 and 621-2013-5297), the US National Oceanic
and Atmospheric Administration (OAR Climate Program Office,
NA08OAR4600758/Siberian Shelf Study), the Russian Foundation of Basic
Research RFFI (08-05-13572, 08-05-00191-a and 07-05-00050a), the Swedish
Polar Research Secretariat, the Nordic Council of Ministers and the US
National Science Foundation (OPP ARC 0909546). Lisa Bröder also
acknowledges financial support from the Climate Research School of the Bolin
Climate Research Centre. Tommaso Tesi also acknowledges EU financial support
as a Marie Curie fellow (contract no. PIEF-GA-2011-300259), contribution
no. 1900 of ISMAR-CNR Sede di Bologna. Joan A. Salvadó also acknowledges
EU financial support as a Marie Curie grant (FP7-PEOPLE-2012-IEF; project
328049). Igor Semiletov thanks the Russian Government for financial support
(mega-grant no. 14.Z50.31.0012). Oleg V. Dudarev thanks the Russian Science
Foundation (grant no. 15-17-20032). Furthermore we would like thank
Francien Peterse, Xiaojuan Feng and one anonymous reviewer for their
constructive comments, which helped to improve the manuscript.
<?xmltex \hack{\newline}?><?xmltex \hack{\newline}?> Edited by: F. Peterse<?xmltex \hack{\newline}?> Reviewed
by: X. Feng and one anonymous referee</p></ack><ref-list>
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    <!--<article-title-html>Fate of terrigenous organic matter across the Laptev Sea from the mouth of
the Lena River to the deep sea of the Arctic interior</article-title-html>
<abstract-html><p class="p">Ongoing global warming in high latitudes may cause an increasing supply of
permafrost-derived organic carbon through both river discharge and coastal
erosion to the Arctic shelves. Mobilized permafrost carbon can be either
buried in sediments, transported to the deep sea or degraded to CO<sub>2</sub> and
outgassed, potentially constituting a positive feedback to climate change.</p><p class="p">This study aims to assess the fate of terrigenous organic carbon (TerrOC) in
the Arctic marine environment by exploring how it changes in concentration,
composition and degradation status across the wide Laptev Sea shelf. We
analyzed a suite of terrestrial biomarkers as well as source-diagnostic bulk
carbon isotopes (<i>δ</i><sup>13</sup>C, Δ<sup>14</sup>C) in surface sediments from a
Laptev Sea transect spanning more than 800 km from the Lena River mouth
(&lt; 10 m water depth) across the shelf to the slope and rise
(2000–3000 m water depth). These data provide a broad view on different
TerrOC pools and their behavior during cross-shelf transport. The
concentrations of lignin phenols, cutin acids and high-molecular-weight (HMW)
wax lipids (tracers of vascular plants) decrease by 89–99 % along the
transect. Molecular-based degradation proxies for TerrOC (e.g., the carbon
preference index of HMW lipids, the HMW acids ∕ alkanes ratio and the
acid ∕ aldehyde ratio of lignin phenols) display a trend to more degraded
TerrOC with increasing distance from the coast. We infer that the degree of
degradation of permafrost-derived TerrOC is a function of the time spent
under oxic conditions during protracted cross-shelf transport. Future work
should therefore seek to constrain cross-shelf transport times in order to
compute a TerrOC degradation rate and thereby help to quantify potential
carbon–climate feedbacks.</p></abstract-html>
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