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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-13-4899-2016</article-id><title-group><article-title>Source, transport and fate of soil organic matter inferred from microbial biomarker lipids on the East Siberian Arctic Shelf</article-title>
      </title-group><?xmltex \runningtitle{Microbial biomarker lipids on the East Siberian Arctic Shelf}?><?xmltex \runningauthor{J.~Bischoff et al.}?>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes" rid="aff1 aff11">
          <name><surname>Bischoff</surname><given-names>Juliane</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2 aff12">
          <name><surname>Sparkes</surname><given-names>Robert B.</given-names></name>
          
        <ext-link>https://orcid.org/0000-0003-0756-0150</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2 aff3">
          <name><surname>Doğrul Selver</surname><given-names>Ayça</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff4">
          <name><surname>Spencer</surname><given-names>Robert G. M.</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff5">
          <name><surname>Gustafsson</surname><given-names>Örjan</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-1922-0527</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff6 aff7 aff8">
          <name><surname>Semiletov</surname><given-names>Igor P.</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff7 aff8">
          <name><surname>Dudarev</surname><given-names>Oleg V.</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff9">
          <name><surname>Wagner</surname><given-names>Dirk</given-names></name>
          
        <ext-link>https://orcid.org/0000-0001-5064-497X</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff10">
          <name><surname>Rivkina</surname><given-names>Elizaveta</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2">
          <name><surname>van Dongen</surname><given-names>Bart E.</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Talbot</surname><given-names>Helen M.</given-names></name>
          
        </contrib>
        <aff id="aff1"><label>1</label><institution>School of Civil Engineering and Geosciences, Newcastle University, Newcastle upon Tyne, UK</institution>
        </aff>
        <aff id="aff2"><label>2</label><institution>School of Earth and Environmental Sciences and Williamson Research Centre for Molecular Environmental Science, University of Manchester, Manchester, UK</institution>
        </aff>
        <aff id="aff3"><label>3</label><institution>Balıkesir University, Geological Engineering Department, Balıkesir, Turkey</institution>
        </aff>
        <aff id="aff4"><label>4</label><institution>Earth, Ocean and Atmospheric Science, Florida State University, Tallahassee, FL, USA</institution>
        </aff>
        <aff id="aff5"><label>5</label><institution>Department of Environmental Science and Analytical Chemistry (ACES) and the Bolin Centre for Climate Research, Stockholm University, Stockholm, Sweden</institution>
        </aff>
        <aff id="aff6"><label>6</label><institution>Pacific Oceanological Institute, Far Eastern Branch of the Russian Academy of Sciences, Vladivostok, Russia</institution>
        </aff>
        <aff id="aff7"><label>7</label><institution>International Arctic Research Center, University of Alaska, Fairbanks, USA</institution>
        </aff>
        <aff id="aff8"><label>8</label><institution>National Tomsk Research Polytechnic University, Tomsk, Russia</institution>
        </aff>
        <aff id="aff9"><label>9</label><institution>GFZ German Research Centre for Geosciences, Helmholtz Centre Potsdam, Section 5.3 Geomicrobiology, Telegrafenberg, Potsdam, Germany</institution>
        </aff>
        <aff id="aff10"><label>10</label><institution>Institute of Physicochemical and Biological Problems in Soil Science, Russian Academy of Sciences, Pushchino, Russia</institution>
        </aff>
        <aff id="aff11"><label>a</label><institution>now at: The Lyell Centre, Heriot-Watt University, Edinburgh, UK</institution>
        </aff>
        <aff id="aff12"><label>b</label><institution>now at: School of Science and the Environment, Manchester Metropolitan University, Manchester, UK</institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">J. Bischoff (j.bischoff@hw.ac.uk) and B. E. van Dongen (bart.vandongen@manchester.ac.uk)</corresp></author-notes><pub-date><day>6</day><month>September</month><year>2016</year></pub-date>
      
      <volume>13</volume>
      <issue>17</issue>
      <fpage>4899</fpage><lpage>4914</lpage>
      <history>
        <date date-type="received"><day>6</day><month>April</month><year>2016</year></date>
           <date date-type="rev-request"><day>15</day><month>April</month><year>2016</year></date>
           <date date-type="rev-recd"><day>8</day><month>August</month><year>2016</year></date>
           <date date-type="accepted"><day>10</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/13/4899/2016/bg-13-4899-2016.html">This article is available from https://bg.copernicus.org/articles/13/4899/2016/bg-13-4899-2016.html</self-uri>
<self-uri xlink:href="https://bg.copernicus.org/articles/13/4899/2016/bg-13-4899-2016.pdf">The full text article is available as a PDF file from https://bg.copernicus.org/articles/13/4899/2016/bg-13-4899-2016.pdf</self-uri>


      <abstract>
    <p>The Siberian Arctic contains a globally significant pool of organic carbon
(OC) vulnerable to enhanced warming and subsequent release by both fluvial
and coastal erosion processes. However, the rate of release, its behaviour in
the Arctic Ocean and vulnerability to remineralisation is poorly understood.
Here we combine new measurements of microbial biohopanoids including
adenosylhopane, a lipid associated with soil microbial communities, with
published glycerol dialkyl glycerol tetraethers (GDGTs) and bulk <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 measurements to improve knowledge of the fate of OC transported to
the East Siberian Arctic Shelf (ESAS). The microbial hopanoid-based soil OC
proxy <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:msup><mml:mi>R</mml:mi><mml:mo>′</mml:mo></mml:msup><mml:mtext>soil</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> ranges from 0.0 to 0.8 across the
ESAS, with highest values nearshore and decreases offshore. Across the shelf
<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:msup><mml:mi>R</mml:mi><mml:mo>′</mml:mo></mml:msup><mml:mtext>soil</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> displays a negative linear correlation with
bulk <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 measurements (<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi>r</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup><mml:mo>=</mml:mo><mml:mo>-</mml:mo><mml:mn>0.73</mml:mn></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mo>=</mml:mo><mml:mo>&lt;</mml:mo><mml:mn>0.001</mml:mn></mml:mrow></mml:math></inline-formula>). When
compared to the GDGT-based OC proxy, the branched and isoprenoid tetraether
(BIT) index, a decoupled (non-linear) behaviour on the shelf was observed,
particularly in the Buor-Khaya Bay, where the <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:msup><mml:mi>R</mml:mi><mml:mo>′</mml:mo></mml:msup><mml:mtext>soil</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula>
shows limited variation, whereas the BIT index shows a rapid decline moving
away from the Lena River outflow channels. This reflects a balance between
delivery and removal of OC from different sources. The good correlation
between the hopanoid and bulk terrestrial signal suggests a broad range of
hopanoid sources, both fluvial and via coastal erosion, whilst GDGTs appear to
be primarily sourced via fluvial transport. Analysis of ice complex deposits
(ICDs) revealed an average <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:msup><mml:mi>R</mml:mi><mml:mo>′</mml:mo></mml:msup><mml:mtext>soil</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> of 0.5 for the
Lena Delta, equivalent to that of the Buor-Khaya Bay sediments, whilst ICDs
from further east showed higher values (0.6–0.85). Although
<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:msup><mml:mi>R</mml:mi><mml:mo>′</mml:mo></mml:msup><mml:mtext>soil</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> correlates more closely with bulk OC than
the BIT, our understanding of the endmembers of this system is clearly still
incomplete, with variations between the different East Siberian Arctic regions
potentially reflecting differences in environmental conditions (e.g.
temperature, pH), but other physiological controls on microbial bacteriohopanepolyol (BHP) production
under psychrophilic conditions are as yet unknown.</p>
  </abstract>
    </article-meta>
  </front>
<body>
      

<sec id="Ch1.S1" sec-type="intro">
  <title>Introduction</title>
      <p>The Arctic permafrost region is a globally significant organic carbon (OC)
pool containing approximately 1300 <inline-formula><mml:math display="inline"><mml:mi mathvariant="normal">Pg</mml:mi></mml:math></inline-formula> (uncertainty range <inline-formula><mml:math display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn>1100</mml:mn></mml:mrow></mml:math></inline-formula> to
1500 <inline-formula><mml:math display="inline"><mml:mi mathvariant="normal">Pg</mml:mi></mml:math></inline-formula>) of carbon. Approximately 800 Pg (60 %) is stored below the
ground in frozen permafrost, with the remainder (<inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 500 <inline-formula><mml:math display="inline"><mml:mi mathvariant="normal">Pg</mml:mi></mml:math></inline-formula>)
occurring in non-permafrost soils, seasonally thawed in the active layer or
in deeper taliks <xref ref-type="bibr" rid="bib1.bibx38" id="paren.1"/>. Permafrost is defined as ground (soil
or rock and includes ice and organic material) that remains below 0 <inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C for at least two consecutive years <xref ref-type="bibr" rid="bib1.bibx90" id="paren.2"/> and
is naturally particularly sensitive to an increase in global temperatures. It
is therefore a focal point of ongoing climate change research on the
observed <xref ref-type="bibr" rid="bib1.bibx58" id="paren.3"><named-content content-type="pre">e.g.</named-content></xref> and predicted rise in atmospheric
and soil temperature <xref ref-type="bibr" rid="bib1.bibx39" id="paren.4"/>. Rising temperatures in the Arctic are
causing, amongst other severe consequences for society and infrastructure,
shifts in hydrological processes and progressive deepening and duration of
permafrost thawing during the Arctic summer <xref ref-type="bibr" rid="bib1.bibx94" id="paren.5"/>. This
destabilisation of permafrost deposits will increase the re-distribution of
terrestrial organic matter (OM) to the Arctic Shelf and ultimately the Arctic
Ocean by (1) transportation via the major Arctic rivers and (2) erosion of
coastal areas.</p>
      <p>The Arctic Ocean receives around 10 % of the global river discharge, while
representing only 1 % of the global ocean water body <xref ref-type="bibr" rid="bib1.bibx52" id="paren.6"/>.
Climate change has already increased the water discharge to the Arctic Ocean
<xref ref-type="bibr" rid="bib1.bibx54 bib1.bibx55" id="paren.7"/>. Arctic rivers are distinct in their
hydrologic regime with pronounced seasonality <xref ref-type="bibr" rid="bib1.bibx35 bib1.bibx36" id="paren.8"/>.
They discharge the majority of their annual load of water, sediment and total
OC from May to July <xref ref-type="bibr" rid="bib1.bibx16 bib1.bibx35 bib1.bibx36" id="paren.9"/>. The drainage
basins of these rivers include areas of continuous and discontinuous
permafrost (<xref ref-type="bibr" rid="bib1.bibx22" id="altparen.10"/>; <xref ref-type="bibr" rid="bib1.bibx29" id="altparen.11"/>; <xref ref-type="bibr" rid="bib1.bibx43" id="altparen.12"/>; and references
therein). Thawing of permafrost
deposits is linked to a destabilisation of stored carbon by top-down thawing
at the active-layer–permafrost interface leading to collapse of ice-rich
permafrost, also known as thermokarst, resulting in hydrological changes
<xref ref-type="bibr" rid="bib1.bibx94" id="paren.13"/>. Thermokarst processes including massive erosional events
can lead to increased mobility of old carbon (both dissolved and particulate)
from the lower layers and strongly affects the balance of carbon dioxide
(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 methane (CH<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula>) emissions from these environments
(e.g. <?xmltex \hack{\mbox\bgroup}?><xref ref-type="bibr" rid="bib1.bibx29" id="altparen.14"/><?xmltex \hack{\egroup}?>; <?xmltex \hack{\mbox\bgroup}?><xref ref-type="bibr" rid="bib1.bibx63" id="altparen.15"/><?xmltex \hack{\egroup}?>; <?xmltex \hack{\mbox\bgroup}?><xref ref-type="bibr" rid="bib1.bibx94" id="altparen.16"/><?xmltex \hack{\egroup}?>). For example, between 1985
and 2004 an increase in the proportion of mobilised terrestrial OC accounted
for by ancient carbon of 3–6 % has been estimated <xref ref-type="bibr" rid="bib1.bibx21" id="paren.17"/>. Not only will this
increased transport of older material increase the release of
CO<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> to the atmosphere <xref ref-type="bibr" rid="bib1.bibx19 bib1.bibx48 bib1.bibx78" id="paren.18"/> but already
observed increases in river discharge will also lead to increased terrestrial
OC input into the Arctic Ocean
<xref ref-type="bibr" rid="bib1.bibx60 bib1.bibx68 bib1.bibx69" id="paren.19"/>. However, the fate of this
terrestrial OC in the Arctic Ocean system is not well understood.</p>
      <p>Additionally, OC is stored, frozen, within coastal ice complex deposits (ICDs)
– this can also be a major source of terrestrial OC to the Arctic Ocean
<xref ref-type="bibr" rid="bib1.bibx46" id="paren.20"/>. These deposits erode at a rate greater than that of
temperate coasts with an average rate for the Arctic coast of 0.5 <inline-formula><mml:math display="inline"><mml:mrow><mml:mi mathvariant="normal">m</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">yr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>, albeit with high local variability, up to 10 <inline-formula><mml:math display="inline"><mml:mrow><mml:mi mathvariant="normal">m</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">yr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>
<xref ref-type="bibr" rid="bib1.bibx46" id="paren.21"/>. The highest rates are found in the Laptev, East Siberian
and Beaufort seas, where the majority of the coast comprises frozen
unlithified material highly susceptible to erosion <xref ref-type="bibr" rid="bib1.bibx45 bib1.bibx46" id="paren.22"><named-content content-type="pre">Fig. 1;</named-content></xref>. Although at present much of the unlithified
coast is located in areas still largely protected by sea ice, continuing
decline in sea ice extent will expose this material to erosion and increase
sediment flux to the ocean <xref ref-type="bibr" rid="bib1.bibx46" id="paren.23"/>. The relative contribution of
permafrost ICD erosion to sedimentary carbon in the East Siberian Arctic Sea
(ESAS) is estimated to be 57 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 1.6 % <xref ref-type="bibr" rid="bib1.bibx93" id="paren.24"/>. Other recent
estimates vary widely but suggest that between 15 and 66 % of this carbon is
remineralised 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> acting as a positive feedback for climate warming,
whilst the remainder is buried in shelf sediments
<xref ref-type="bibr" rid="bib1.bibx42 bib1.bibx93" id="paren.25"/>. Furthermore, <xref ref-type="bibr" rid="bib1.bibx88" id="text.26"/> showed that the
potential for burial and degradation of terrestrial OC on the ESAS, based on
the different chemical reactivity of different components, is dependent on
the source material (topsoil vs. ICD) and the transportation pathways (river
run-off vs. coastal erosion), highlighting the need to better understand
these sources.</p>
      <p>A number of methods are used to trace different primary sources of
sedimentary OM on the Arctic shelves including bulk <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="italic">δ</mml:mi><mml:mn>15</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>N and C <inline-formula><mml:math display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> N, as well as molecular ratios
<xref ref-type="bibr" rid="bib1.bibx11 bib1.bibx20 bib1.bibx21 bib1.bibx22 bib1.bibx24 bib1.bibx28 bib1.bibx29 bib1.bibx66 bib1.bibx67 bib1.bibx87 bib1.bibx89 bib1.bibx93" id="paren.27"/>.
The molecular ratios include the branched and isoprenoid tetraether
(BIT) index <xref ref-type="bibr" rid="bib1.bibx37" id="paren.28"/>, based on comparison of
branched glycerol dialkyl glycerol tetraethers (brGDGTs) from terrestrial
soil environments and the marine isoprenoid GDGT crenarchaeol
<xref ref-type="bibr" rid="bib1.bibx13 bib1.bibx14 bib1.bibx18 bib1.bibx77" id="paren.29"><named-content content-type="pre">e.g.</named-content></xref>, and the
bacteriohopanepolyol (BHP)-based <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:msup><mml:mi>R</mml:mi><mml:mo>′</mml:mo></mml:msup><mml:mtext>soil</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> index
<xref ref-type="bibr" rid="bib1.bibx15 bib1.bibx17 bib1.bibx18" id="paren.30"/>.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F1" specific-use="star"><caption><p>Map of the East Siberian Arctic Shelf (ESAS) showing sampling
stations of the International Siberian Shelf Studies 2008 (ISSS-08)
expedition and location of Ice complex deposit (ICD) samples investigated in
this study. Key regions discussed in the text are highlighted. Lower courses
and outflows of four great Russian Arctic rivers are labelled. Section of
coastline indicated in red are areas of moderate to high rates of coastal
erosion (<inline-formula><mml:math display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula> m 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>) as defined by <xref ref-type="bibr" rid="bib1.bibx44" id="text.31"/>. Key: KI, Kurungnakh
Island; CB, Cape Bykovsky; KY, Indigirka <xref ref-type="bibr" rid="bib1.bibx87" id="paren.32"/>; CR, Chukochya
River; OR, Omolon River; CH, Cherskii <xref ref-type="bibr" rid="bib1.bibx87" id="paren.33"/>.</p></caption>
        <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://bg.copernicus.org/articles/13/4899/2016/bg-13-4899-2016-f01.pdf"/>

      </fig>

      <p>BHPs are microbial membrane lipids comprising pentacyclic triterpenoids with
an extended polyfunctionalised side chain (<xref ref-type="bibr" rid="bib1.bibx57" id="altparen.34"/>; see Table S1 for
structures). They occur in varying concentrations and
compositions in a range of environmental settings such as Arctic permafrost
soils <xref ref-type="bibr" rid="bib1.bibx34 bib1.bibx56" id="paren.35"/>, lakes
<xref ref-type="bibr" rid="bib1.bibx12 bib1.bibx80 bib1.bibx83" id="paren.36"/>, and marine sediments
<xref ref-type="bibr" rid="bib1.bibx5 bib1.bibx6 bib1.bibx7 bib1.bibx11 bib1.bibx17 bib1.bibx85 bib1.bibx96 bib1.bibx100" id="paren.37"><named-content content-type="pre">e.g.</named-content></xref>.
Recent studies have indicated the potential of a specific group of BHPs with
a cyclised side chain to be used as a tracer for soil organic matter (SOM)
input in aquatic settings. Adenosylhopane <xref ref-type="bibr" rid="bib1.bibx8" id="paren.38"><named-content content-type="pre"><bold>1a</bold>; see Table S1
for structures;</named-content><named-content content-type="post">and references therein</named-content></xref>, two related structures
with yet undetermined terminal groups termed “adenosylhopane type 2”
<xref ref-type="bibr" rid="bib1.bibx9" id="paren.39"><named-content content-type="pre"><bold>1b</bold>;</named-content></xref> and “adenosylhopane type 3”
<xref ref-type="bibr" rid="bib1.bibx56" id="paren.40"><named-content content-type="pre"><bold>1b'</bold>;</named-content></xref> together with their C-2 methylated
homologues (<bold>2a</bold>, <bold>2b</bold> and <bold>2b'</bold>, respectively) are
common compounds in soils
<xref ref-type="bibr" rid="bib1.bibx9 bib1.bibx41 bib1.bibx56 bib1.bibx79 bib1.bibx98 bib1.bibx100" id="paren.41"/>.
However, these compounds are rarely found in marine settings with the
exception of deep-sea fan systems, which comprise a significant proportion of
terrestrial OM including BHPs <xref ref-type="bibr" rid="bib1.bibx10 bib1.bibx30 bib1.bibx96" id="paren.42"/>. A
BHP-based SOM proxy, the <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>R</mml:mi><mml:mtext>soil</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> index, was proposed in
which the relative proportion of soil marker BHPs (adenosylhopane and
related compounds) to the combined total of soil markers plus the commonly
occurring BHP bacteriohopane-32,33,34,35-tetrol (BHT, <bold>1f</bold>) is
calculated <xref ref-type="bibr" rid="bib1.bibx100" id="paren.43"/>. The use of BHT in this context is complicated as
it is also found in varying proportions in soils but is frequently the most
significant and, in some cases, only BHP in marine sediments, hence its
proposal as the only possible representative compound for marine OM-dominated
sediments <xref ref-type="bibr" rid="bib1.bibx15 bib1.bibx100" id="paren.44"/>.</p>
      <p>The <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>R</mml:mi><mml:mtext>soil</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> index has been investigated in various
settings, including the Yangtze River–East China Sea surface sediment transect
<xref ref-type="bibr" rid="bib1.bibx100" id="paren.45"/> and several (sub-)Arctic land to ocean transects
<xref ref-type="bibr" rid="bib1.bibx15 bib1.bibx17 bib1.bibx18" id="paren.46"/>. These studies showed
that it can be used to trace SOM exported from land to ocean. However, due to
the limited and intermittent occurrence of methylated compounds in the
sub-Arctic setting, <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>R</mml:mi><mml:mtext>soil</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> (Eq. 1) was modified to
<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:msup><mml:mi>R</mml:mi><mml:mo>′</mml:mo></mml:msup><mml:mtext>soil</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> for application in Arctic settings where the
C-2 methylated soil markers are scarce and therefore were excluded
<xref ref-type="bibr" rid="bib1.bibx17 bib1.bibx18" id="paren.47"><named-content content-type="pre">Eq. 2;</named-content></xref>.

              <disp-formula id="Ch1.E1" content-type="numbered"><mml:math display="block"><mml:mrow><?xmltex \hack{\hbox\bgroup\fontsize{8.7}{8.7}\selectfont$\displaystyle}?><mml:msub><mml:mi>R</mml:mi><mml:mtext>soil</mml:mtext></mml:msub><mml:mo>=</mml:mo><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:mtext>soil BHPs</mml:mtext><mml:mo>(</mml:mo><mml:mtext mathvariant="bold">1a</mml:mtext><mml:mo>+</mml:mo><mml:mtext mathvariant="bold">1b</mml:mtext><mml:mo>+</mml:mo><mml:mtext mathvariant="bold">1b'</mml:mtext><mml:mo>+</mml:mo><mml:mtext mathvariant="bold">2a</mml:mtext><mml:mo>+</mml:mo><mml:mtext mathvariant="bold">2b</mml:mtext><mml:mo>+</mml:mo><mml:mtext mathvariant="bold">2b'</mml:mtext><mml:mo>)</mml:mo></mml:mrow><mml:mrow><mml:mtext>soil BHPs</mml:mtext><mml:mo>(</mml:mo><mml:mtext mathvariant="bold">1a</mml:mtext><mml:mo>+</mml:mo><mml:mtext mathvariant="bold">1b</mml:mtext><mml:mo>+</mml:mo><mml:mtext mathvariant="bold">1b'</mml:mtext><mml:mo>+</mml:mo><mml:mtext mathvariant="bold">2a</mml:mtext><mml:mo>+</mml:mo><mml:mtext mathvariant="bold">2b</mml:mtext><mml:mo>+</mml:mo><mml:mtext mathvariant="bold">2b'</mml:mtext><mml:mo>)</mml:mo><mml:mo>+</mml:mo><mml:mtext>BHT</mml:mtext><mml:mo>(</mml:mo><mml:mtext mathvariant="bold">1f</mml:mtext><mml:mo>)</mml:mo></mml:mrow></mml:mfrac></mml:mstyle><?xmltex \hack{$\egroup}?></mml:mrow></mml:math></disp-formula>

          <disp-formula id="Ch1.E2" content-type="numbered"><mml:math display="block"><mml:mrow><?xmltex \hack{\hbox\bgroup\fontsize{8.7}{8.7}\selectfont$\displaystyle}?><mml:msub><mml:msup><mml:mi>R</mml:mi><mml:mo>′</mml:mo></mml:msup><mml:mtext>soil</mml:mtext></mml:msub><mml:mo>=</mml:mo><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:mtext>soil BHPs</mml:mtext><mml:mo>(</mml:mo><mml:mtext mathvariant="bold">1a</mml:mtext><mml:mo>+</mml:mo><mml:mtext mathvariant="bold">1b</mml:mtext><mml:mo>+</mml:mo><mml:mtext mathvariant="bold">1b'</mml:mtext><mml:mo>)</mml:mo></mml:mrow><mml:mrow><mml:mtext>soil BHPs</mml:mtext><mml:mo>(</mml:mo><mml:mtext mathvariant="bold">1a</mml:mtext><mml:mo>+</mml:mo><mml:mtext mathvariant="bold">1b</mml:mtext><mml:mo>+</mml:mo><mml:mtext mathvariant="bold">1b'</mml:mtext><mml:mo>)</mml:mo><mml:mo>+</mml:mo><mml:mtext>BHT</mml:mtext><mml:mo>(</mml:mo><mml:mtext mathvariant="bold">1f</mml:mtext><mml:mo>)</mml:mo></mml:mrow></mml:mfrac></mml:mstyle><?xmltex \hack{$\egroup}?></mml:mrow></mml:math></disp-formula></p>
      <p>This study focuses on the ESAS, a region
dominated by fluvial input from three major rivers, namely the Lena,
Indigirka and Kolyma <xref ref-type="bibr" rid="bib1.bibx26" id="paren.48"/>, as well as a site of significant
erosion of coastal ICD <xref ref-type="bibr" rid="bib1.bibx45" id="paren.49"><named-content content-type="pre">Fig. 1;</named-content></xref>. Recently,
<xref ref-type="bibr" rid="bib1.bibx77" id="text.50"/> used the GDGT-based BIT proxy to trace terrestrial OM on
the ESAS shelf using the same sediment samples and found a decoupling between
BIT and bulk <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, suggesting that GDGTs were (primarily) sourced
via riverine transport and not from erosion of coastal ICD. In addition, a
strong linear correlation between bulk <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:msub><mml:msup><mml:mi>R</mml:mi><mml:mo>′</mml:mo></mml:msup><mml:mtext>soil</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> and a strong but non-linear relationship
between the BIT index and <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:msup><mml:mi>R</mml:mi><mml:mo>′</mml:mo></mml:msup><mml:mtext>soil</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> was observed by
<xref ref-type="bibr" rid="bib1.bibx18" id="text.51"/> in surface sediments along the offshore transect off
the Kolyma River. This suggests a decoupling between these microbial-based
biomarker proxies and different and/or additional sources of BHPs to the
ESAS compared to the GDGTs. Erosion of ICD was proposed as a likely source
for the BHPs, suggesting that these biomarker proxies probably reflect
different OC sources <xref ref-type="bibr" rid="bib1.bibx18" id="paren.52"/>. It has, however, been
suggested that coastal cliffs could also be a source of branched GDGTs, at
least in sites without major river inputs <xref ref-type="bibr" rid="bib1.bibx14" id="paren.53"/>. At this time,
it remains unclear (i) whether the decoupling between these bacterial biomarker-based proxies is unique to the Kolyma region or more widely applicable to the
whole ESAS and (ii) whether the soil marker BHP pool has a mixed input from ICD
and river-transported OC or can be used as a proxy for ICD.</p>
      <p>Therefore, this study investigates the abundance and composition of
terrestrial microbial (soil marker) BHPs across the land–ocean transect
of the ESAS in conjunction with the recently published BIT data obtained at
the same sites <xref ref-type="bibr" rid="bib1.bibx77" id="paren.54"/>. This study includes new data on BHPs in
ICD from the Lena Delta and Indigirka and Kolyma riverbanks in order to
further constrain the source of OC transported to and deposited into the
Arctic Ocean.</p>
</sec>
<sec id="Ch1.S2">
  <title>Materials and methods</title>
<sec id="Ch1.S2.SS1">
  <title>Study area and sample collection</title>
      <p>This study focuses on the ESAS with sediment samples from the Laptev Sea,
Buor-Khaya Bay, Dmitry Laptev Strait and East Siberian Sea (Fig. 1). Comprehensive fieldwork was conducted in August–September 2008 as part of
the International Siberian Shelf Studies 2008 expedition <xref ref-type="bibr" rid="bib1.bibx64" id="paren.55"><named-content content-type="pre">ISSS
08;</named-content></xref>. Surface sediments were recovered using a dual gravity
corer or a van Veen grab sampler from H/V <italic>Yakob Smirnitskyi</italic> (ESAS) and TB-0012
(Buor-Khaya Bay). The sediment samples were transferred with stainless steel
spatulas to polyethylene containers and frozen at <inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>18 <inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C for
transport and storage <xref ref-type="bibr" rid="bib1.bibx40" id="paren.56"/>. Subsamples were taken and
freeze-dried for subsequent total lipid extraction <xref ref-type="bibr" rid="bib1.bibx77" id="paren.57"/>.</p>
      <p>The sediments investigated in this study were grouped based on their location
on the ESAS <xref ref-type="bibr" rid="bib1.bibx77" id="paren.58"><named-content content-type="pre">Fig. 1; Table S2;</named-content></xref>. Samples were grouped
longitudinally, into the Buor-Khaya Bay and associated region offshore of the
Lena River delta (the Laptev Sea), the Dmitry Laptev Strait (the narrow
channel between the coastline at <inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 140<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E and the New Siberian
Islands, splitting the ESAS up into two distinct areas – the Laptev Sea and
the East Siberian Sea), the region offshore of the Indigirka River mouth and
the region offshore of the Kolyma River mouth. The Indigirka and Kolyma River
mouth offshore regions are generally equivalent to the western and eastern
East Siberian Sea regions, respectively, as identified by
<xref ref-type="bibr" rid="bib1.bibx65" id="text.59"/>. The ESAS samples have also been classified
latitudinally, into the nearshore ESAS (<inline-formula><mml:math display="inline"><mml:mrow><mml:mo>&lt;</mml:mo><mml:mn>150</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math display="inline"><mml:mi mathvariant="normal">km</mml:mi></mml:math></inline-formula> from river outflows)
and offshore ESAS (<inline-formula><mml:math display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn>150</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math display="inline"><mml:mi mathvariant="normal">km</mml:mi></mml:math></inline-formula> from river outflows).</p>
      <p>In addition to surface sediment samples throughout the ESAS, this study also
includes ICD samples from locations on the Siberian mainland, including the
central Lena Delta, Cape Bykovsky, and the Kolyma and Indigirka river banks. The
site on Kurungnakh Island (central Lena Delta; 72<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>20<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula> N,
126<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>17<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula> E) was drilled during the Russian–German LENA 2002
expedition in July 2002 <xref ref-type="bibr" rid="bib1.bibx3" id="paren.60"/> and a 24 m long permafrost core
from a low-centred ice-wedge polygon was recovered <xref ref-type="bibr" rid="bib1.bibx27" id="paren.61"/>. In
total 23 samples from depths 0.34 to 24.55 <inline-formula><mml:math display="inline"><mml:mi mathvariant="normal">m</mml:mi></mml:math></inline-formula> (Table S3) were chosen
for BHP analysis. An additional ice complex sample (CB IC 1.9; Table S3) was
obtained from Cape Bykovsky. The Bykovsky Peninsula is located in the
vicinity of the Lena Delta in an area of significant coastal erosion
<xref ref-type="bibr" rid="bib1.bibx44" id="paren.62"/>. Ice complex samples from the Kolyma region were obtained
from the Chukochya River (CR; Fig. 1), which outflows in the Kolyma Gulf;
the Omolon River (OR; Fig. 1), a tributary of the Kolyma River; and
from Cherskii <xref ref-type="bibr" rid="bib1.bibx87" id="paren.63"><named-content content-type="pre">CH, Fig. 1; Table S3;</named-content></xref>. An additional
profile from the Indigirka watershed is also included for comparison
<xref ref-type="bibr" rid="bib1.bibx87" id="paren.64"><named-content content-type="pre">KY, Fig. 1;</named-content></xref>.</p>
</sec>
<sec id="Ch1.S2.SS2">
  <title>Bulk analysis</title>
      <p>Data for the ISSS-08 sediments are taken from <xref ref-type="bibr" rid="bib1.bibx40" id="text.65"><named-content content-type="post">see Table S2</named-content></xref>. Total organic carbon (TOC) data for the Indigirka and Cherskii profiles are taken
from <xref ref-type="bibr" rid="bib1.bibx87" id="text.66"/> (see Table S3). The Cape Bykovsky, Chukochya River and
Omolon River permafrost ICD samples were prepared for carbon isotope analysis
according to <xref ref-type="bibr" rid="bib1.bibx31" id="text.67"/> and analysed at the University of California,
Davis, Stable Isotope Facility.</p>
</sec>
<sec id="Ch1.S2.SS3">
  <title>Extraction of ESAS sediment samples</title>
      <p>Sediment samples were extracted using a modified Bligh–Dyer method as
described in more detail in <xref ref-type="bibr" rid="bib1.bibx18" id="text.68"/> and <xref ref-type="bibr" rid="bib1.bibx77" id="text.69"/>.
Briefly, sediment (5 g) was ultrasonically extracted using a monophasic
mixture of methanol/dichloromethane/phosphate buffer (0.05 <inline-formula><mml:math display="inline"><mml:mi mathvariant="normal">M</mml:mi></mml:math></inline-formula>, pH 7.4;
<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:mo>:</mml:mo><mml:mn>0.8</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math display="inline"><mml:mrow><mml:mi>v</mml:mi><mml:mo>:</mml:mo><mml:mi>v</mml:mi><mml:mo>:</mml:mo><mml:mi>v</mml:mi></mml:mrow></mml:math></inline-formula>). The supernatant was separated by centrifugation and the
remaining sediments re-extracted twice. The combined organic phases were
evaporated to dryness. After extraction, the total lipid extracts (TLEs) were
re-dissolved in dichloromethane/methanol (<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>) and separated into fractions
with one-sixth of the TLE used for BHP analysis.</p><?xmltex \hack{\newpage}?>
</sec>
<sec id="Ch1.S2.SS4">
  <title>Extraction of ice complex samples</title>
      <p>Freeze-dried and ground ICD samples were extracted using a modified Bligh–Dyer method (<xref ref-type="bibr" rid="bib1.bibx4" id="year.70"/>) that was adapted from the method described
in <xref ref-type="bibr" rid="bib1.bibx9" id="text.71"/>. Briefly, samples (<inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 3 <inline-formula><mml:math display="inline"><mml:mi mathvariant="normal">g</mml:mi></mml:math></inline-formula>, dry weight) were
ultrasonically extracted with a monophasic mixture of
methanol/chloroform/water (<inline-formula><mml:math display="inline"><mml:mrow><mml:mn>10</mml:mn><mml:mo>:</mml:mo><mml:mn mathvariant="normal">5</mml:mn><mml:mo>:</mml:mo><mml:mn mathvariant="normal">4</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math display="inline"><mml:mrow><mml:mi>v</mml:mi><mml:mo>:</mml:mo><mml:mi>v</mml:mi><mml:mo>:</mml:mo><mml:mi>v</mml:mi></mml:mrow></mml:math></inline-formula>). Deviating from the method described
in <xref ref-type="bibr" rid="bib1.bibx9" id="text.72"/>, the sonication steps were reduced to 30 min at 40 <inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C
without the subsequent overnight shaking. The supernatant was removed after
centrifugation (16 000 <inline-formula><mml:math display="inline"><mml:mi>g</mml:mi></mml:math></inline-formula>, 10 min) and the remaining sediment was
re-extracted twice. After phase separation via addition of water (5 <inline-formula><mml:math display="inline"><mml:mi mathvariant="normal">mL</mml:mi></mml:math></inline-formula>) and chloroform (5 <inline-formula><mml:math display="inline"><mml:mi mathvariant="normal">mL</mml:mi></mml:math></inline-formula>), the organic phases were combined,
evaporated to dryness, and blown to dryness under N<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>. Extracts were then
re-dissolved in <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> chloroform/methanol and one-third of the TLE was used for BHP
analyses.</p>
</sec>
<sec id="Ch1.S2.SS5">
  <title>Solid phase extraction and derivatisation of BHPs</title>
      <p>Aliquots (one-sixth for sediments and one-third for terrestrial materials)
of the TLE were loaded onto NH<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> solid phase extraction (SPE) cartridges
pre-conditioned with 6 <inline-formula><mml:math display="inline"><mml:mi mathvariant="normal">mL</mml:mi></mml:math></inline-formula> of hexane (1 g <inline-formula><mml:math display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> 6 <inline-formula><mml:math display="inline"><mml:mi mathvariant="normal">mL</mml:mi></mml:math></inline-formula>; Isolute, Biotage,
Sweden), in 200 <inline-formula><mml:math display="inline"><mml:mrow><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">L</mml:mi></mml:mrow></mml:math></inline-formula> chloroform and separated into two fractions (Fr):
Fr. 1 (non-polar <inline-formula><mml:math display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> acidic, 6 <inline-formula><mml:math display="inline"><mml:mi mathvariant="normal">mL</mml:mi></mml:math></inline-formula> of diethylether/acetic acid (<inline-formula><mml:math display="inline"><mml:mrow><mml:mn>98</mml:mn><mml:mo>:</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math display="inline"><mml:mrow><mml:mi>v</mml:mi><mml:mo>:</mml:mo><mml:mi>v</mml:mi></mml:mrow></mml:math></inline-formula>))
and Fr. 2 (polar, 12 <inline-formula><mml:math display="inline"><mml:mi mathvariant="normal">mL</mml:mi></mml:math></inline-formula> of methanol), which contained all BHPs except
32,35-anhydroBHT <xref ref-type="bibr" rid="bib1.bibx1" id="paren.73"><named-content content-type="pre">e.g.</named-content></xref>. After separation, the
internal standard (5<inline-formula><mml:math display="inline"><mml:mi mathvariant="italic">α</mml:mi></mml:math></inline-formula>-pregnane-3<inline-formula><mml:math display="inline"><mml:mi mathvariant="italic">β</mml:mi></mml:math></inline-formula>,20<inline-formula><mml:math display="inline"><mml:mi mathvariant="italic">β</mml:mi></mml:math></inline-formula>-diol) was added to
Fr. 2 and dried under N<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>. This SPE method was adapted from a method
commonly used in other studies of complex polar lipids from environmental
samples <xref ref-type="bibr" rid="bib1.bibx47" id="paren.74"><named-content content-type="pre">e.g.</named-content></xref>. Fr. 2 was acetylated with
pyridine/acetic anhydride (<inline-formula><mml:math display="inline"><mml:mrow><mml:mn mathvariant="normal">1</mml:mn><mml:mo>:</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math display="inline"><mml:mrow><mml:mi>v</mml:mi><mml:mo>:</mml:mo><mml:mi>v</mml:mi></mml:mrow></mml:math></inline-formula>; 500 <inline-formula><mml:math display="inline"><mml:mrow><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">L</mml:mi></mml:mrow></mml:math></inline-formula>) for 1 h at 50 <inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C and left at room temperature overnight. The samples were
evaporated to dryness, re-dissolved in methanol/propan-2-ol (<inline-formula><mml:math display="inline"><mml:mrow><mml:mn>60</mml:mn><mml:mo>:</mml:mo><mml:mn>40</mml:mn></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math display="inline"><mml:mrow><mml:mi>v</mml:mi><mml:mo>:</mml:mo><mml:mi>v</mml:mi></mml:mrow></mml:math></inline-formula>) and
filtered through a 0.2 <inline-formula><mml:math display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>m PTFE syringe filter. For BHP analysis, the samples
were dissolved in methanol/propan-2-ol (<inline-formula><mml:math display="inline"><mml:mrow><mml:mn>60</mml:mn><mml:mo>:</mml:mo><mml:mn>40</mml:mn></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math display="inline"><mml:mrow><mml:mi>v</mml:mi><mml:mo>:</mml:mo><mml:mi>v</mml:mi></mml:mrow></mml:math></inline-formula>; 500 <inline-formula><mml:math display="inline"><mml:mrow><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">L</mml:mi></mml:mrow></mml:math></inline-formula>). Sample
injection volume was 10 <inline-formula><mml:math display="inline"><mml:mrow><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">L</mml:mi></mml:mrow></mml:math></inline-formula>.</p>
</sec>
<sec id="Ch1.S2.SS6">
  <title>Analytical HPLC-APCI-MS</title>
      <p>BHPs were identified and measured using reverse-phase HPLC-APCI-MS as
previously described in <xref ref-type="bibr" rid="bib1.bibx9" id="text.75"/>. Chromatographic separation was
achieved under the conditions described in <xref ref-type="bibr" rid="bib1.bibx92" id="text.76"/>. BHP
structures were identified based on previously published spectra
<xref ref-type="bibr" rid="bib1.bibx9 bib1.bibx56 bib1.bibx80 bib1.bibx81 bib1.bibx82" id="paren.77"/>.
Semi-quantitative estimation of BHP concentrations was achieved by employing
the characteristic base peak ion areas of individual BHPs in mass
chromatograms (from SCAN 1) relative to the <inline-formula><mml:math display="inline"><mml:mrow><mml:mi>m</mml:mi><mml:mo>/</mml:mo><mml:mi>z</mml:mi></mml:mrow></mml:math></inline-formula> 345 chromatogram base peak
area of the acetylated 5<inline-formula><mml:math display="inline"><mml:mi mathvariant="italic">α</mml:mi></mml:math></inline-formula>-pregnane-3<inline-formula><mml:math display="inline"><mml:mi mathvariant="italic">β</mml:mi></mml:math></inline-formula>,20<inline-formula><mml:math display="inline"><mml:mi mathvariant="italic">β</mml:mi></mml:math></inline-formula>-diol internal
standard. Averaged relative response factors relative to the internal
standard, determined from a suite of acetylated BHP standards, were used to
adjust the BHP peak areas where N-containing compounds give an average
response 12 times that of the standard and compounds without N 8 times that
of the standard <xref ref-type="bibr" rid="bib1.bibx92" id="paren.78"><named-content content-type="pre">for further details see</named-content></xref>. The
reproducibility of triplicate injections was 3–6 % RSD (standard error: <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula>1–4 <inline-formula><mml:math display="inline"><mml:mrow><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msubsup><mml:mi mathvariant="normal">g</mml:mi><mml:mtext>OC</mml:mtext><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msubsup></mml:mrow></mml:math></inline-formula>) for BHT and 5–8 % RSD (standard
error: <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula>1–2 <inline-formula><mml:math display="inline"><mml:mrow><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msubsup><mml:mi mathvariant="normal">g</mml:mi><mml:mtext>OC</mml:mtext><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msubsup></mml:mrow></mml:math></inline-formula>) for adenosylhopane in
the environmental samples, resulting in an absolute standard error of on
average <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula>0.01 for <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:msup><mml:mi>R</mml:mi><mml:mo>′</mml:mo></mml:msup><mml:mtext>soil</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> (see Sect. 1, Eq. 2).</p>
</sec>
</sec>
<sec id="Ch1.S3">
  <title>Results and discussion</title>
      <p>OC concentrations and bulk carbon isotopes for sediments recovered throughout
the ISSS-08 expedition have been reported previously <xref ref-type="bibr" rid="bib1.bibx93 bib1.bibx40" id="paren.79"/>. OC
concentrations ranged from 0.68 to 2.25 wt. % C and were highest in
Buor-Khaya Bay, with values for the different regions shown in Table S2
<xref ref-type="bibr" rid="bib1.bibx77" id="paren.80"><named-content content-type="pre">see also</named-content></xref>. Bulk <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 ranged from <inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>21.2
to <inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>27.4 ‰ with most depleted values reported in sediments in
Dmitry Laptev Strait and ESAS nearshore sediments.</p>
<sec id="Ch1.S3.SS1">
  <title>BHP concentrations and distributions in ESAS surface sediments</title>
      <p>In total, 92 surface sediment samples throughout the ESAS in Buor-Khaya Bay,
Dmitry Laptev Strait, and Kolyma River and Indigirka River mouth transects were
analysed for their BHP composition (Table S2). Up to 16 individual BHPs were
identified in the ESAS sediments, with the total concentration of BHPs
ranging from 12 to 824 <inline-formula><mml:math display="inline"><mml:mrow><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msubsup><mml:mi mathvariant="normal">g</mml:mi><mml:mtext>OC</mml:mtext><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msubsup></mml:mrow></mml:math></inline-formula> (Table S2). However,
their concentrations and distributions differed with distance to the mainland
throughout the shelf. BHT (<bold>1f</bold>) was the most abundant single BHP,
ranging from 9 to 313 <inline-formula><mml:math display="inline"><mml:mrow><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msubsup><mml:mi mathvariant="normal">g</mml:mi><mml:mtext>OC</mml:mtext><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msubsup></mml:mrow></mml:math></inline-formula> (Table S1, Figs. 2a
and 3a). The relative proportion of BHT was lowest in Buor-Khaya Bay
sediments close to the mainland (mean  <inline-formula><mml:math display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 37 % of all detected BHPs) rising to
80 % (mean <inline-formula><mml:math display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 65 %) of all detected BHPs in the ESAS offshore sediments
furthest away from the mainland. Highest BHT concentrations were measured
closest to the mainland except in the region of the Indigirka outflow
(samples YS-26 to 30; Table S2), where values were lower than in all other
nearshore settings (Fig. 2a). However, mean concentrations were stable with
increasing distance from the mainland (Fig. 3a) and considerable amounts of
BHT (up to 77 <inline-formula><mml:math display="inline"><mml:mrow><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msubsup><mml:mi mathvariant="normal">g</mml:mi><mml:mtext>OC</mml:mtext><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msubsup></mml:mrow></mml:math></inline-formula>) are still detectable at
293 km offshore.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F2"><caption><p>Maps of <bold>(a)</bold> BHT and <bold>(b)</bold> summed non-methylated soil marker
concentrations (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msubsup><mml:mi mathvariant="normal">g</mml:mi><mml:mtext>OC</mml:mtext><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msubsup></mml:mrow></mml:math></inline-formula>) and <bold>(c)</bold> the resulting <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:msup><mml:mi>R</mml:mi><mml:mo>′</mml:mo></mml:msup><mml:mtext>soil</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula>
in ISSS sediments from the ESAS. Maps were interpolated using a kriging algorithm
(ArcGIS v.10; ESRI Ltd) and the locations of the ISSS-08 stations are shown
as black dots.</p></caption>
          <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://bg.copernicus.org/articles/13/4899/2016/bg-13-4899-2016-f02.jpg"/>

        </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F3"><caption><p>Box plots summarising the concentrations of <bold>(a)</bold> BHT, <bold>(b)</bold> summed
non-methylated soil markers and <bold>(c)</bold> the resulting <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:msup><mml:mi>R</mml:mi><mml:mo>′</mml:mo></mml:msup><mml:mtext>soil</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula>
on the ESAS, grouped by distance from river mouths. Concentrations in ice
complex samples are also shown (see Fig. 1 for locations). Thick lines show
the median values, boxes the 25th and 75th percentiles, whiskers the maximum
and minimum values within 1.5 times the interquartile range, and circular
symbols outliers beyond this threshold.</p></caption>
          <?xmltex \igopts{width=170.716535pt}?><graphic xlink:href="https://bg.copernicus.org/articles/13/4899/2016/bg-13-4899-2016-f03.png"/>

        </fig>

      <p>In addition to the ubiquitous and abundant BHT (<bold>1f</bold>), a suite of
other polyhydroxylated BHPs related to BHT were detected, including the
BHT isomer (<bold>1f'</bold>), which has been linked to production by pelagic
anaerobic organisms performing anaerobic ammonium oxidation
<xref ref-type="bibr" rid="bib1.bibx59" id="paren.81"><named-content content-type="pre">annamox;</named-content></xref>. The C-2 methylated homologue 2-MeBHT
(<bold>2f</bold>), unsaturated BHT (<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="normal">Δ</mml:mi><mml:mn mathvariant="normal">6</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>-<bold>1f</bold>) and
bacteriohopane-30,31,32,33,34,35-hexol (<bold>1g</bold>) were also common,
especially in Buor-Khaya Bay, although at much lower concentration than BHT
(Table S2). Soil marker BHPs identified included high proportions of
adenosylhopane (<bold>1a</bold>), followed by adenosylhopane type 2 (<bold>1b</bold>)
and adenosylhopane type 3 (<bold>1b'</bold>). The soil marker type 2 and 3
compounds are related to adenosylhopane but have different and as yet
uncharacterised terminal groups compared to adenosylhopane as identified by
LC-MS<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mi>n</mml:mi></mml:msup></mml:math></inline-formula> <xref ref-type="bibr" rid="bib1.bibx56" id="paren.82"><named-content content-type="pre">Table S1;</named-content></xref>. The C-2 methylated soil
markers (<bold>2a</bold>, <bold>2b</bold>, <bold>2b'</bold>; Table S1) were present
intermittently and always at lower concentration than the corresponding
non-methylated structures. Generally, the concentrations of all non-methylated
soil markers are highest in samples closer to the coast (0–100 <inline-formula><mml:math display="inline"><mml:mi mathvariant="normal">km</mml:mi></mml:math></inline-formula>) and
decrease with distance from the river outflows (Figs. 2b and 3b; Table S2)
showing similar trends.</p>
      <p>Sediments of Buor-Khaya Bay and Dmitry Laptev Strait were characterised by
high amounts of adenosylhopane, with a mean average of 64 <inline-formula><mml:math display="inline"><mml:mrow><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msubsup><mml:mi mathvariant="normal">g</mml:mi><mml:mtext>OC</mml:mtext><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msubsup></mml:mrow></mml:math></inline-formula> (range 7–137 <inline-formula><mml:math display="inline"><mml:mrow><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msubsup><mml:mi mathvariant="normal">g</mml:mi><mml:mtext>OC</mml:mtext><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msubsup></mml:mrow></mml:math></inline-formula>;
Table S2) and total non-methylated soil markers accounted for up to 66 % of
total BHPs although the mean proportion was lower at 36 %. Sediments
collected from the ESAS offshore region contain noticeably lower soil marker
BHPs both in absolute and relative concentrations with non-methylated soil
markers ranging from 0 to 62 <inline-formula><mml:math display="inline"><mml:mrow><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msubsup><mml:mi mathvariant="normal">g</mml:mi><mml:mtext>OC</mml:mtext><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msubsup></mml:mrow></mml:math></inline-formula> (mean 11 % of
all detected BHPs; Table S2; Figs. 2b and 3b). Methylated compounds were
frequently below the detection limit (Table S2) as previously reported in
Arctic and sub-Arctic River mouth surface sediment transects
<xref ref-type="bibr" rid="bib1.bibx17 bib1.bibx18" id="paren.83"/>.</p>
      <p>Total concentrations of non-methylated soil markers in ESAS sediments with a
range of 0–218 <inline-formula><mml:math display="inline"><mml:mrow><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msubsup><mml:mi mathvariant="normal">g</mml:mi><mml:mtext>OC</mml:mtext><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msubsup></mml:mrow></mml:math></inline-formula> are similar to sediments
from the Yenisei River system, including the Yenisei River mouth, gulf,
outflow and nearby Kara Sea <xref ref-type="bibr" rid="bib1.bibx15" id="paren.84"><named-content content-type="pre">9–508 <inline-formula><mml:math display="inline"><mml:mrow><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msubsup><mml:mi mathvariant="normal">g</mml:mi><mml:mtext>OC</mml:mtext><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msubsup></mml:mrow></mml:math></inline-formula>;</named-content></xref>. The highest values occurred in the
Yenisei River mouth sediments and also in Khalmyer Bay (329–435 <inline-formula><mml:math display="inline"><mml:mrow><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msubsup><mml:mi mathvariant="normal">g</mml:mi><mml:mtext>OC</mml:mtext><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msubsup></mml:mrow></mml:math></inline-formula>), a nearby area of coastal erosion, although not
directly drained by the Yenisei River itself. However, in the Yenisei
mouth, Khalmyer Bay, Buor-Khaya Bay and Dmitry Laptev Strait, non-methylated
soil markers had very similar mean relative abundance as a proportion of
total BHPs of 30–40 %. This reflects a significant contribution of these
terrestrial compounds to the total BHP assemblage in Arctic settings
<xref ref-type="bibr" rid="bib1.bibx11 bib1.bibx86" id="paren.85"><named-content content-type="pre">see also</named-content></xref> and indicates a strong terrestrial
signal in the Arctic Shelf sediments. The proportion of total soil markers in
sediments from the outflow of other non-Arctic rivers has been shown to be
somewhat lower (e.g. <inline-formula><mml:math display="inline"><mml:mrow><mml:mo>&lt;</mml:mo><mml:mn>20</mml:mn></mml:mrow></mml:math></inline-formula> % from the estuary and seaward of the Yangtze
River,
<xref ref-type="bibr" rid="bib1.bibx100" id="author.86"/>, 2011; <inline-formula><mml:math display="inline"><mml:mrow><mml:mo>&lt;</mml:mo><mml:mn mathvariant="normal">8</mml:mn></mml:mrow></mml:math></inline-formula> % Congo River estuary,
<xref ref-type="bibr" rid="bib1.bibx79" id="author.87"/>, 2015), thus emphasising the importance of
obtaining values for local endmembers. The higher abundance of these highly
functionalised compounds in Arctic sediments may be a result of better
preservation under the cold-temperature conditions of this region.
Additionally, temperature may also influence the microbiological community,
leading to deliberate accumulation of adenosylhopane and/or limited
biosynthetic transformation of the BHP precursor in this extreme environment
<xref ref-type="bibr" rid="bib1.bibx56" id="paren.88"><named-content content-type="pre">see</named-content></xref>.</p>
      <p>Other BHPs identified include three structures with amine functional groups
at the C-35 position. The concentration of aminotriol (<bold>1e</bold>; Table S1)
varied from 0 to 53 <inline-formula><mml:math display="inline"><mml:mrow><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msubsup><mml:mi mathvariant="normal">g</mml:mi><mml:mtext>OC</mml:mtext><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msubsup></mml:mrow></mml:math></inline-formula> (mean 6.4 % of all
analysed BHPs) throughout the ESAS (Table S2). Aminotetrol (<bold>1d</bold>) was
generally less abundant across the ESAS (0–13 <inline-formula><mml:math display="inline"><mml:mrow><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msubsup><mml:mi mathvariant="normal">g</mml:mi><mml:mtext>OC</mml:mtext><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msubsup></mml:mrow></mml:math></inline-formula>) and aminopentol (<bold>1c</bold>) was identified in 37 of
the 47 Buor-Khaya Bay sediments and only occasionally in other areas (Table S2). Aminotetrol and aminopentol in particular have been linked to aerobic
methane oxidising bacterial sources and have been proposed as markers for
terrestrial methane oxidation in continental wetlands, which is then
subsequently recorded in marine (e.g. deep-sea fan) sediments from the
Republic of Congo <xref ref-type="bibr" rid="bib1.bibx79 bib1.bibx85 bib1.bibx96" id="paren.89"/>. More recently,
<xref ref-type="bibr" rid="bib1.bibx15" id="text.90"/> identified aminopentol in sediments of the Yenisei River
outflow and tentatively proposed that it might indicate decomposition of
sub-sea permafrost with associated methane release and subsequent microbial
oxidation. Here in Buor-Khaya Bay, concentrations of aminopentol
(<bold>1c</bold>) ranged from 0 to 9.5 <inline-formula><mml:math display="inline"><mml:mrow><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msubsup><mml:mi mathvariant="normal">g</mml:mi><mml:mtext>OC</mml:mtext><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msubsup></mml:mrow></mml:math></inline-formula>,
considerably lower than values reported in <xref ref-type="bibr" rid="bib1.bibx15" id="text.91"><named-content content-type="post">0–48 <inline-formula><mml:math display="inline"><mml:mrow><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msubsup><mml:mi mathvariant="normal">g</mml:mi><mml:mtext>OC</mml:mtext><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msubsup></mml:mrow></mml:math></inline-formula></named-content></xref>. It is therefore possible that the
aminopentol signature is fluvially transported from areas of active
aerobic methane oxidation within the catchment (i.e. polygonal tundra,
wetlands, thermokarst lakes) or, alternatively, indicates oxidation of methane
released from sub-sea permafrost deposits known to be common across the ESAS
including Buor-Khaya Bay
<xref ref-type="bibr" rid="bib1.bibx70 bib1.bibx75 bib1.bibx71 bib1.bibx72 bib1.bibx73 bib1.bibx74" id="paren.92"/>.</p>
      <p>The ESAS surface sediments generally had only low levels of composite BHPs
(i.e. BHPs with more complex moiety at the C-35 position such as a sugar or
amino-sugar; e.g. <xref ref-type="bibr" rid="bib1.bibx57" id="author.93"/>, 1993). The only exceptions were
BHT cyclitol ether (<bold>1h</bold>), which was found in concentrations ranging
from 0 to 49 <inline-formula><mml:math display="inline"><mml:mrow><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msubsup><mml:mi mathvariant="normal">g</mml:mi><mml:mtext>OC</mml:mtext><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msubsup></mml:mrow></mml:math></inline-formula>, with a mean of 7.7 <inline-formula><mml:math display="inline"><mml:mrow><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msubsup><mml:mi mathvariant="normal">g</mml:mi><mml:mtext>OC</mml:mtext><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msubsup></mml:mrow></mml:math></inline-formula> (0–10 % of all analysed BHPs), and BHT glucosamine
(<bold>1i</bold>), which was even less common (Table S2). Both of these structures
have a wide range of known sources, so they cannot be assigned to any specific
group of source organisms <xref ref-type="bibr" rid="bib1.bibx84" id="paren.94"><named-content content-type="pre">see review in</named-content></xref>.</p>
</sec>
<sec id="Ch1.S3.SS2">
  <?xmltex \opttitle{${R^{{\prime}}}_{{\text{soil}}}$, stable carbon isotopes and BIT in ESAS sediments}?><title><inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:msup><mml:mi>R</mml:mi><mml:mo>′</mml:mo></mml:msup><mml:mtext>soil</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula>, stable carbon isotopes and BIT in ESAS sediments</title>
      <p>Bulk carbon isotope values (<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) are commonly used as a proxy for
marine vs. terrestrial influence on sedimentary OC composition as terrestrial
plants using the C3 synthesis pathway typically have more depleted values
than OC produced via marine primary productivity
<xref ref-type="bibr" rid="bib1.bibx32 bib1.bibx49 bib1.bibx89" id="paren.95"/>. Here, we compared bulk carbon
isotopes to the BHP-based <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:msup><mml:mi>R</mml:mi><mml:mo>′</mml:mo></mml:msup><mml:mtext>soil</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> proxy (Eq. 2). As expected, <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:msup><mml:mi>R</mml:mi><mml:mo>′</mml:mo></mml:msup><mml:mtext>soil</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> values were higher closer
to the coast and reduced gradually with increasing distance offshore (Figs. 2c, 3c), including the region off the Indigirka which had somewhat lower
absolute concentrations of the individual BHPs compared to the more eastern
and western extents of the ESAS region (Fig. 2a, b). The highest values
occurred in Buor-Khaya Bay (maximum <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:msup><mml:mi>R</mml:mi><mml:mo>′</mml:mo></mml:msup><mml:mtext>soil</mml:mtext></mml:msub><mml:mo>=</mml:mo><mml:mn>0.80</mml:mn></mml:mrow></mml:math></inline-formula>;
Table S2); however, the mean values for Buor-Khaya Bay and Dmitry Laptev
Strait sediments were very similar at 0.49 and 0.52, respectively (Fig. 4).
The ESAS nearshore sediments had an average only slightly lower at 0.41,
whilst the average for the offshore sediments was 0.14 (range 0.42 to 0.00;
Fig. 4, Table S2).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F4"><caption><p>Plot of the concentrations (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msubsup><mml:mi mathvariant="normal">g</mml:mi><mml:mtext>OC</mml:mtext><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msubsup></mml:mrow></mml:math></inline-formula>) of BHT
vs. non-methylated soil markers grouped according to sampling location in Buor-Khaya
Bay, Dmitry Laptev Strait, ESAS nearshore and offshore. Labelled contours
show the <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:msup><mml:mi>R</mml:mi><mml:mo>′</mml:mo></mml:msup><mml:mtext>soil</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> index values.</p></caption>
          <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://bg.copernicus.org/articles/13/4899/2016/bg-13-4899-2016-f04.pdf"/>

        </fig>

      <p>A clear negative linear relationship was observed between
<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:msup><mml:mi>R</mml:mi><mml:mo>′</mml:mo></mml:msup><mml:mtext>soil</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> and bulk <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>r</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup><mml:mo>=</mml:mo><mml:mo>-</mml:mo><mml:mn>0.73</mml:mn></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mo>&lt;</mml:mo><mml:mn>0.001</mml:mn></mml:mrow></mml:math></inline-formula>; Fig. 5a) across the ESAS in agreement with a pilot study of
soil microbial biomarkers in ESAS surface sediments from the Kolyma River
mouth offshore transect where strong linear correlations were observed
between the <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:msup><mml:mi>R</mml:mi><mml:mo>′</mml:mo></mml:msup><mml:mtext>soil</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> proxy and distance from river
mouth (<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi>r</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup><mml:mo>=</mml:mo><mml:mn>0.97</mml:mn></mml:mrow></mml:math></inline-formula>) and bulk <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>r</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup><mml:mo>=</mml:mo><mml:mn>0.96</mml:mn></mml:mrow></mml:math></inline-formula>;
<xref ref-type="bibr" rid="bib1.bibx18" id="author.96"/>, 2015). Although bulk <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 in ESAS
surface sediments did display a linear relationship with distance offshore
<xref ref-type="bibr" rid="bib1.bibx93" id="paren.97"/>, previous comparison of bulk <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 BIT values
from the ESAS surface sediments displayed a strongly non-linear correlation
<xref ref-type="bibr" rid="bib1.bibx77" id="paren.98"><named-content content-type="pre">Fig. 5c;</named-content></xref>. This was shown to result from a rapid
reduction in concentration of brGDGTs in near-coastal sediments (<inline-formula><mml:math display="inline"><mml:mrow><mml:mo>&lt;</mml:mo><mml:mn>150</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math display="inline"><mml:mi mathvariant="normal">km</mml:mi></mml:math></inline-formula> from shoreline), causing a drop in BIT values from <inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 1 to <inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 0.25 with
little variation in bulk <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 followed by an enrichment in bulk
carbon isotopes towards more marine values concomitant with a slower decline
in BIT values towards 0 further than 150 <inline-formula><mml:math display="inline"><mml:mi mathvariant="normal">km</mml:mi></mml:math></inline-formula> offshore
<xref ref-type="bibr" rid="bib1.bibx77" id="paren.99"/>. A similar non-linear relationship is observed here
between <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:msup><mml:mi>R</mml:mi><mml:mo>′</mml:mo></mml:msup><mml:mtext>soil</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> and BIT (Fig. 5b), as also
previously demonstrated for the surface sediment offshore transect off the
Kolyma River mouth <xref ref-type="bibr" rid="bib1.bibx18" id="paren.100"/>, indicating that similar
processes are operating across the entire ESAS.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F5"><caption><p>Cross plots of <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:msup><mml:mi>R</mml:mi><mml:mo>′</mml:mo></mml:msup><mml:mtext>soil</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> vs. <bold>(a)</bold> bulk <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
<xref ref-type="bibr" rid="bib1.bibx40" id="paren.101"/> and <bold>(b)</bold> BIT index <xref ref-type="bibr" rid="bib1.bibx77" id="paren.102"/> and <bold>(c)</bold> BIT index
vs. <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 in ESAS sediments. Typical values for terrestrial BIT
index vs. <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 endmembers are indicated (<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:msup><mml:mi>R</mml:mi><mml:mo>′</mml:mo></mml:msup><mml:mtext>soil</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> –
this study; <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 – <xref ref-type="bibr" rid="bib1.bibx93" id="altparen.103"/>; BIT index –
<xref ref-type="bibr" rid="bib1.bibx2" id="altparen.104"/> and <xref ref-type="bibr" rid="bib1.bibx53" id="altparen.105"/>). Note BHP and bulk carbon
isotope plot shows linear mixing trend, whilst BIT index shows non-linear
relationship to both other parameters; the BIT index drops significantly
before a shift in isotope ratio to more marine values or shift to lower
<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:msup><mml:mi>R</mml:mi><mml:mo>′</mml:mo></mml:msup><mml:mtext>soil</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> values. <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:msup><mml:mi>R</mml:mi><mml:mo>′</mml:mo></mml:msup><mml:mtext>soil</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> endmember values are lower
than 1 due to presence of BHT in terrestrial materials (Table S3) and
typically lower in the Lena River region (mean <inline-formula><mml:math display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 0.50) than in the eastern ESAS
region (mean <inline-formula><mml:math display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 0.76). <inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mtext>a</mml:mtext></mml:msup></mml:math></inline-formula> ICD, ice complex deposit; PF, permafrost.</p></caption>
          <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://bg.copernicus.org/articles/13/4899/2016/bg-13-4899-2016-f05.pdf"/>

        </fig>

      <p>The simple linear correlation between <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:msup><mml:mi>R</mml:mi><mml:mo>′</mml:mo></mml:msup><mml:mtext>soil</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> and
bulk carbon isotope values is intriguing as it suggests that, unlike the
brGDGTs, which in this region are proposed to be primarily derived from
fluvial transport
<xref ref-type="bibr" rid="bib1.bibx13 bib1.bibx18 bib1.bibx53 bib1.bibx77" id="paren.106"/>, the
<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:msup><mml:mi>R</mml:mi><mml:mo>′</mml:mo></mml:msup><mml:mtext>soil</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> proxy provides a more integrated signature
of different terrestrial sources including ICD and fluvially transported
topsoil-permafrost or riverine-produced material. Therefore, soil marker BHPs
and brGDGTs, despite being nominally derived from similar sources, i.e.
terrestrial microbial membrane lipids, appear in fact to be representing
different aspects of terrestrial OC export.</p>
      <p><xref ref-type="bibr" rid="bib1.bibx15" id="text.107"/> recently demonstrated that soil marker BHPs can indeed be
transported in suspended particulate matter (SPM) from the Yenisei River, a
large river located west of the ESAS. In the Yenisei study, only a moderate
correlation was observed between 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 values and
<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:msup><mml:mi>R</mml:mi><mml:mo>′</mml:mo></mml:msup><mml:mtext>soil</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> (<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi>r</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup><mml:mo>=</mml:mo><mml:mn>0.44</mml:mn></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mo>&lt;</mml:mo><mml:mn>0.01</mml:mn></mml:mrow></mml:math></inline-formula>), suggesting they
trace different pools of OM (bulk terrigenous OM versus bacterial OM).
However, unlike in the current study, <xref ref-type="bibr" rid="bib1.bibx15" id="text.108"/> also found a strong
linear correlation between <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:msup><mml:mi>R</mml:mi><mml:mo>′</mml:mo></mml:msup><mml:mtext>soil</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> and BIT (<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi>r</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup><mml:mo>=</mml:mo><mml:mn>0.82</mml:mn></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mo>&lt;</mml:mo><mml:mn>0.05</mml:mn></mml:mrow></mml:math></inline-formula>). The Yenisei River catchment and outflow have significantly
different characteristics to those of the rivers entering the ESAS,
specifically in terms of the extent of different permafrost regimes.
Permafrost is classified as isolated, sporadic, discontinuous and continuous
according to its spatial distribution <xref ref-type="bibr" rid="bib1.bibx99" id="paren.109"><named-content content-type="pre">e.g.</named-content></xref>. Continuous
permafrost means that over 90 % of the area is frozen in contrast to
discontinuous permafrost, where only 30–80 % of the area is underlain by
permafrost. The Yenisei drains an area with a high proportion of
discontinuous permafrost (55 %), whilst the proportion of continuous
permafrost is lower <xref ref-type="bibr" rid="bib1.bibx21" id="paren.110"><named-content content-type="pre">33 %;</named-content><named-content content-type="post">and references therein</named-content></xref>. The
proportion of continuous permafrost in the eastern river catchments is
higher, ranging from 79 % (Lena) to 100 % (Kolyma and Indigirka; <xref ref-type="bibr" rid="bib1.bibx22" id="altparen.111"/>; and
references therein). This may in turn affect the composition and
preservation of terrestrial microbial markers. Indeed, previous work has
indicated that OC from continuous permafrost areas is older but also less
degraded and more biolabile than that from areas of discontinuous permafrost
<xref ref-type="bibr" rid="bib1.bibx11 bib1.bibx22 bib1.bibx48 bib1.bibx78 bib1.bibx89" id="paren.112"><named-content content-type="pre">e.g.</named-content></xref>.
Additionally, although there is some evidence of coastal erosion of ICD in
this region, such as in the Khalmyer Bay area, this is not directly drained
by the Yenisei River. Therefore, in this more westerly region it is likely
that the primary source for both soil marker BHPs and brGDGTs is fluvial
transport, hence the linear relationship between soil microbial biomarkers
and bulk <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 <xref ref-type="bibr" rid="bib1.bibx14 bib1.bibx15" id="paren.113"/>. Whereas in
the more easterly region we assume brGDGTs to be of fluvial origin
<xref ref-type="bibr" rid="bib1.bibx77" id="paren.114"/> and the soil marker BHPs to have an integrated signature
of terrestrial sources including ICD and fluvially transported
topsoil-permafrost or riverine-produced material.</p>
</sec>
<sec id="Ch1.S3.SS3">
  <title>Terrestrial endmembers and implications for ESAS sedimentary carbon budgets</title>
      <p>Given the apparent discrepancy between the BHP and GDGT-derived signals,
further consideration of the terrestrial endmembers is clearly required.
Although extensive databases exist for different bulk isotopic endmembers for
the Arctic region (e.g. <xref ref-type="bibr" rid="bib1.bibx87" id="altparen.115"/>; <xref ref-type="bibr" rid="bib1.bibx93" id="altparen.116"/>; and references therein),
data on the soil microbial lipid derived proxy values are limited for the
Siberian region (see Table 1 for summary). Recently, <xref ref-type="bibr" rid="bib1.bibx53" id="text.117"/>
reported high BIT values for a range of materials from the Kolyma region
(eastern ESAS), including thermokarst and floodplain lake sediments (BIT <inline-formula><mml:math display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 1),
yedoma (and associated streams; BIT <inline-formula><mml:math display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 0.81–0.89) and SPM from the Kolyma
River including samples collected during the spring freshet (BIT <inline-formula><mml:math display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 0.99–1). However, <xref ref-type="bibr" rid="bib1.bibx77" id="text.118"/> reported values for three ICD (Yedoma) samples
from the same area ranging from 0.44 to 0.7. The lower values resulted from
relatively high levels of crenarchaeol, which is unusual for terrestrial
materials <xref ref-type="bibr" rid="bib1.bibx62" id="paren.119"><named-content content-type="pre">typical BIT values <inline-formula><mml:math display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn>0.8</mml:mn></mml:mrow></mml:math></inline-formula>;</named-content></xref>, although this
compound has been reported from several Thaumarchaeota isolated from soil
<xref ref-type="bibr" rid="bib1.bibx76" id="paren.120"/>. Data on BHPs from the (East Siberian) Arctic
region are scarce as previous studies of terrestrial BHPs have primarily
focused on temperate and more recently on tropical regions <xref ref-type="bibr" rid="bib1.bibx79" id="paren.121"><named-content content-type="pre">see review
in</named-content></xref>. <xref ref-type="bibr" rid="bib1.bibx18" id="text.122"/> reported average
<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:msup><mml:mi>R</mml:mi><mml:mo>′</mml:mo></mml:msup><mml:mtext>soil</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> values of 0.76 (range 0.70–0.84) for the
same three ICD yedoma samples from the Kolyma region (CHYED-2; Table 1, Table S3). <xref ref-type="bibr" rid="bib1.bibx34" id="text.123"/> also reported the BHP composition in polygonal active
layer deposits (to a maximum depth of 48 cm) from two locations in the Lena
Delta, Samoylov Island and Kurungnakh Island. Calculating
<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:msup><mml:mi>R</mml:mi><mml:mo>′</mml:mo></mml:msup><mml:mtext>soil</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> values from these data revealed a wide range
of values from 0.18 to 0.79 and a mean average of 0.41 (Table 1). Although
this simple average will likely not represent a spatially and depth resolved
average for the region, it is still close to the mean values found in
Buor-Khaya Bay and Dmitry Laptev Strait sediments (Table S2).</p>
      <p>To further evaluate potential endmember ranges, additional ICD samples from
the Lena, Indigirka and Kolyma regions were investigated for BHPs (Table S3).
We analysed 23 samples from a 25 m permafrost core from Kurungnakh Island
<xref ref-type="bibr" rid="bib1.bibx3" id="paren.124"><named-content content-type="pre">see details in</named-content></xref> and an additional sample from Cape
Bykovsky at 1.9 m depth (Table S3). BHT and a range of soil marker BHPs were
present in all samples. BHT concentration ranged from 7 to 643 <inline-formula><mml:math display="inline"><mml:mrow><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msubsup><mml:mi mathvariant="normal">g</mml:mi><mml:mtext>OC</mml:mtext><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msubsup></mml:mrow></mml:math></inline-formula> (mean average 248 <inline-formula><mml:math display="inline"><mml:mrow><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msubsup><mml:mi mathvariant="normal">g</mml:mi><mml:mtext>OC</mml:mtext><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msubsup></mml:mrow></mml:math></inline-formula>) in
the Kurungnakh Island permafrost deposits. As in the ESAS sediments (Table
S2), the soil marker BHPs included high proportions of adenosylhopane (<bold>1a</bold>),
followed by adenosylhopane type 2 (<bold>1b</bold>) and adenosylhopane type 3 (<bold>1b'</bold>)
(mean average 250 <inline-formula><mml:math display="inline"><mml:mrow><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msubsup><mml:mi mathvariant="normal">g</mml:mi><mml:mtext>OC</mml:mtext><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msubsup></mml:mrow></mml:math></inline-formula>; Table S3). As expected,
observation of the methylated compounds was intermittent and then only at
very low levels (Table S3), justifying their exclusion from
<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:msup><mml:mi>R</mml:mi><mml:mo>′</mml:mo></mml:msup><mml:mtext>soil</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> <xref ref-type="bibr" rid="bib1.bibx17 bib1.bibx18" id="paren.125"/>.
<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:msup><mml:mi>R</mml:mi><mml:mo>′</mml:mo></mml:msup><mml:mtext>soil</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> values ranged from 0.37 to 0.64 with a mean
value of 0.50 (Table 1), whilst the Cape Bykovsky (CB) sample had an
<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:msup><mml:mi>R</mml:mi><mml:mo>′</mml:mo></mml:msup><mml:mtext>soil</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> of 0.68 (Table 1). The low
<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:msup><mml:mi>R</mml:mi><mml:mo>′</mml:mo></mml:msup><mml:mtext>soil</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> values in ICD from this region (0.34 to
0.80, mean 0.49; Figs. 3c, 4) are in excellent agreement with the mean and
range of values found within the ISSS-08 Buor-Khaya Bay and Dmitry Laptev
Strait sediments (0.49 and 0.52 respectively; Table S2; Fig. 5a). Although
additional sources of BHPs from fluvial transport and from material
transported via changes in hydrological conduits resulting from thermokarst
erosion are also possible <xref ref-type="bibr" rid="bib1.bibx94" id="paren.126"><named-content content-type="pre">POC; e.g.</named-content></xref>, there are currently
no data on the BHP composition in this fraction from this region for
comparison.</p>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T1" specific-use="star"><caption><p>Mean, maximum and minimum values for OM proxy values (<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:msup><mml:mi>R</mml:mi><mml:mo>′</mml:mo></mml:msup><mml:mtext>soil</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula>, BIT 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) by sample group location and type of material.</p></caption><oasis:table frame="topbot"><?xmltex \begin{scaleboxenv}{.90}[.90]?><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" colsep="1"/>
     <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" colsep="1"/>
     <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">Location</oasis:entry>  
         <oasis:entry colname="col2"><inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi>n</mml:mi><mml:mi mathvariant="normal">a</mml:mi></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col3"><inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:msup><mml:mi>R</mml:mi><mml:mo>′</mml:mo></mml:msup><mml:mtext>soil</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:msup><mml:mi>R</mml:mi><mml:mo>′</mml:mo></mml:msup><mml:mtext>soil</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:msup><mml:mi>R</mml:mi><mml:mo>′</mml:mo></mml:msup><mml:mtext>soil</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col6"><inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi>n</mml:mi><mml:mi mathvariant="normal">a</mml:mi></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col7">BIT</oasis:entry>  
         <oasis:entry colname="col8">BIT</oasis:entry>  
         <oasis:entry colname="col9">BIT</oasis:entry>  
         <oasis:entry colname="col10"><inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi>n</mml:mi><mml:mi mathvariant="normal">a</mml:mi></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col11"><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="col12"><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="col13"><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:row>
       <oasis:row>  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2"/>  
         <oasis:entry colname="col3">(mean)</oasis:entry>  
         <oasis:entry colname="col4">(max)</oasis:entry>  
         <oasis:entry colname="col5">(min)</oasis:entry>  
         <oasis:entry colname="col6"/>  
         <oasis:entry colname="col7">(mean)</oasis:entry>  
         <oasis:entry colname="col8">(max)</oasis:entry>  
         <oasis:entry colname="col9">(min)</oasis:entry>  
         <oasis:entry colname="col10"/>  
         <oasis:entry colname="col11">(mean)</oasis:entry>  
         <oasis:entry colname="col12">(max)</oasis:entry>  
         <oasis:entry colname="col13">(min)</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2"/>  
         <oasis:entry colname="col3"/>  
         <oasis:entry colname="col4"/>  
         <oasis:entry colname="col5"/>  
         <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>  
         <oasis:entry colname="col12">‰</oasis:entry>  
         <oasis:entry colname="col13">‰</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1">ISSS-08 sediments</oasis:entry>  
         <oasis:entry colname="col2"/>  
         <oasis:entry colname="col3"/>  
         <oasis:entry colname="col4"/>  
         <oasis:entry colname="col5"/>  
         <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:row>  
         <oasis:entry colname="col1">Buor-Khaya Bay</oasis:entry>  
         <oasis:entry colname="col2">47</oasis:entry>  
         <oasis:entry colname="col3">0.49</oasis:entry>  
         <oasis:entry colname="col4">0.80</oasis:entry>  
         <oasis:entry colname="col5">0.34</oasis:entry>  
         <oasis:entry colname="col6">47<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">0.58</oasis:entry>  
         <oasis:entry colname="col8">0.95</oasis:entry>  
         <oasis:entry colname="col9">0.26</oasis:entry>  
         <oasis:entry colname="col10">37<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="col11"><inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>25.9</oasis:entry>  
         <oasis:entry colname="col12"><inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>25.3</oasis:entry>  
         <oasis:entry colname="col13"><inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>26.6</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Dmitry Laptev Strait</oasis:entry>  
         <oasis:entry colname="col2">7</oasis:entry>  
         <oasis:entry colname="col3">0.52</oasis:entry>  
         <oasis:entry colname="col4">0.57</oasis:entry>  
         <oasis:entry colname="col5">0.48</oasis:entry>  
         <oasis:entry colname="col6">7<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">0.55</oasis:entry>  
         <oasis:entry colname="col8">0.66</oasis:entry>  
         <oasis:entry colname="col9">0.46</oasis:entry>  
         <oasis:entry colname="col10">7<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="col11"><inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>27.2</oasis:entry>  
         <oasis:entry colname="col12"><inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>26.9</oasis:entry>  
         <oasis:entry colname="col13"><inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>27.4</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">ESAS nearshore</oasis:entry>  
         <oasis:entry colname="col2">9</oasis:entry>  
         <oasis:entry colname="col3">0.41</oasis:entry>  
         <oasis:entry colname="col4">0.57</oasis:entry>  
         <oasis:entry colname="col5">0.27</oasis:entry>  
         <oasis:entry colname="col6">9<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">0.35</oasis:entry>  
         <oasis:entry colname="col8">0.58</oasis:entry>  
         <oasis:entry colname="col9">0.10</oasis:entry>  
         <oasis:entry colname="col10">8<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="col11"><inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>26.8</oasis:entry>  
         <oasis:entry colname="col12"><inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>26.2</oasis:entry>  
         <oasis:entry colname="col13"><inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>27.4</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1">ESAS offshore</oasis:entry>  
         <oasis:entry colname="col2">29</oasis:entry>  
         <oasis:entry colname="col3">0.14</oasis:entry>  
         <oasis:entry colname="col4">0.42</oasis:entry>  
         <oasis:entry colname="col5">0.00</oasis:entry>  
         <oasis:entry colname="col6">29<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">0.06</oasis:entry>  
         <oasis:entry colname="col8">0.28</oasis:entry>  
         <oasis:entry colname="col9">0.00</oasis:entry>  
         <oasis:entry colname="col10">28<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="col11"><inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>24.2</oasis:entry>  
         <oasis:entry colname="col12"><inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>21.2</oasis:entry>  
         <oasis:entry colname="col13"><inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>26.5</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1">Ice complex</oasis:entry>  
         <oasis:entry colname="col2"/>  
         <oasis:entry colname="col3"/>  
         <oasis:entry colname="col4"/>  
         <oasis:entry colname="col5"/>  
         <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:row>  
         <oasis:entry colname="col1">Lena Delta (KUR)</oasis:entry>  
         <oasis:entry colname="col2">23</oasis:entry>  
         <oasis:entry colname="col3">0.50</oasis:entry>  
         <oasis:entry colname="col4">0.64</oasis:entry>  
         <oasis:entry colname="col5">0.37</oasis:entry>  
         <oasis:entry colname="col6">23<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mtext>d</mml:mtext></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col7">0.97</oasis:entry>  
         <oasis:entry colname="col8">1.0</oasis:entry>  
         <oasis:entry colname="col9">0.87</oasis:entry>  
         <oasis:entry colname="col10">23</oasis:entry>  
         <oasis:entry colname="col11">n.d.<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mtext>e</mml:mtext></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col12">n.d.</oasis:entry>  
         <oasis:entry colname="col13">n.d</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Cape Bykovsky</oasis:entry>  
         <oasis:entry colname="col2">1</oasis:entry>  
         <oasis:entry colname="col3">0.68</oasis:entry>  
         <oasis:entry colname="col4"/>  
         <oasis:entry colname="col5"/>  
         <oasis:entry colname="col6">1</oasis:entry>  
         <oasis:entry colname="col7">n.d.</oasis:entry>  
         <oasis:entry colname="col8"/>  
         <oasis:entry colname="col9"/>  
         <oasis:entry colname="col10">1</oasis:entry>  
         <oasis:entry colname="col11"><inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>26.0</oasis:entry>  
         <oasis:entry colname="col12"/>  
         <oasis:entry colname="col13"/>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1">Kolyma+Indigirka</oasis:entry>  
         <oasis:entry colname="col2">11</oasis:entry>  
         <oasis:entry colname="col3">0.76</oasis:entry>  
         <oasis:entry colname="col4">0.84</oasis:entry>  
         <oasis:entry colname="col5">0.62</oasis:entry>  
         <oasis:entry colname="col6">3<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">0.53</oasis:entry>  
         <oasis:entry colname="col8">0.7</oasis:entry>  
         <oasis:entry colname="col9">0.44</oasis:entry>  
         <oasis:entry colname="col10">5</oasis:entry>  
         <oasis:entry colname="col11"><inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>24.3</oasis:entry>  
         <oasis:entry colname="col12"><inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>23.02</oasis:entry>  
         <oasis:entry colname="col13"><inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>25.8</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1">Literature data</oasis:entry>  
         <oasis:entry colname="col2"/>  
         <oasis:entry colname="col3"/>  
         <oasis:entry colname="col4"/>  
         <oasis:entry colname="col5"/>  
         <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:row>  
         <oasis:entry colname="col1">ICD permafrost</oasis:entry>  
         <oasis:entry colname="col2"/>  
         <oasis:entry colname="col3"/>  
         <oasis:entry colname="col4"/>  
         <oasis:entry colname="col5"/>  
         <oasis:entry colname="col6"/>  
         <oasis:entry colname="col7"/>  
         <oasis:entry colname="col8"/>  
         <oasis:entry colname="col9"/>  
         <oasis:entry colname="col10">374<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="col11"><inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>26.3 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.7<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mtext>f</mml:mtext></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col12"/>  
         <oasis:entry colname="col13"/>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Topsoil permafrost</oasis:entry>  
         <oasis:entry colname="col2"/>  
         <oasis:entry colname="col3"/>  
         <oasis:entry colname="col4"/>  
         <oasis:entry colname="col5"/>  
         <oasis:entry colname="col6"/>  
         <oasis:entry colname="col7"/>  
         <oasis:entry colname="col8"/>  
         <oasis:entry colname="col9"/>  
         <oasis:entry colname="col10">20<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="col11"><inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>28.2 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 2.0<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mtext>f</mml:mtext></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col12"/>  
         <oasis:entry colname="col13"/>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Yedoma (Duvanny Yar)</oasis:entry>  
         <oasis:entry colname="col2"/>  
         <oasis:entry colname="col3"/>  
         <oasis:entry colname="col4"/>  
         <oasis:entry colname="col5"/>  
         <oasis:entry colname="col6">1<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mtext>g</mml:mtext></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col7">0.82</oasis:entry>  
         <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:row>  
         <oasis:entry colname="col1">Yedoma stream (Duvanny Yar)</oasis:entry>  
         <oasis:entry colname="col2"/>  
         <oasis:entry colname="col3"/>  
         <oasis:entry colname="col4"/>  
         <oasis:entry colname="col5"/>  
         <oasis:entry colname="col6">8<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mtext>g</mml:mtext></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col7">0.83</oasis:entry>  
         <oasis:entry colname="col8">0.89</oasis:entry>  
         <oasis:entry colname="col9">0.81</oasis:entry>  
         <oasis:entry colname="col10"/>  
         <oasis:entry colname="col11"/>  
         <oasis:entry colname="col12"/>  
         <oasis:entry colname="col13"/>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">SPM (Kolyma River)</oasis:entry>  
         <oasis:entry colname="col2"/>  
         <oasis:entry colname="col3"/>  
         <oasis:entry colname="col4"/>  
         <oasis:entry colname="col5"/>  
         <oasis:entry colname="col6">6<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mtext>g</mml:mtext></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col7"/>  
         <oasis:entry colname="col8">1.0</oasis:entry>  
         <oasis:entry colname="col9">0.99</oasis:entry>  
         <oasis:entry colname="col10"/>  
         <oasis:entry colname="col11"/>  
         <oasis:entry colname="col12"/>  
         <oasis:entry colname="col13"/>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Lena Delta permafrost soils</oasis:entry>  
         <oasis:entry colname="col2">24<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mtext>h</mml:mtext></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col3">0.41</oasis:entry>  
         <oasis:entry colname="col4">0.79</oasis:entry>  
         <oasis:entry colname="col5">0.18</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:tbody>
   </oasis:tgroup><?xmltex \end{scaleboxenv}?></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> <inline-formula><mml:math display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>, number of samples used for calculation of mean for individual parameters; <?xmltex \hack{\\}?><inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mtext>b</mml:mtext></mml:msup></mml:math></inline-formula> data from <xref ref-type="bibr" rid="bib1.bibx77" id="text.127"/>; <?xmltex \hack{\\}?><inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mtext>c</mml:mtext></mml:msup></mml:math></inline-formula> data from <xref ref-type="bibr" rid="bib1.bibx93" id="text.128"/>; <?xmltex \hack{\\}?><inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mtext>d</mml:mtext></mml:msup></mml:math></inline-formula> data from <xref ref-type="bibr" rid="bib1.bibx2" id="text.129"/> <?xmltex \hack{\\}?><inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mtext>e</mml:mtext></mml:msup></mml:math></inline-formula> n.d., not determined; <?xmltex \hack{\\}?><inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mtext>f</mml:mtext></mml:msup></mml:math></inline-formula> mean <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> standard deviation; <?xmltex \hack{\\}?><inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mtext>g</mml:mtext></mml:msup></mml:math></inline-formula> data from <xref ref-type="bibr" rid="bib1.bibx53" id="text.130"/>; <?xmltex \hack{\\}?><inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mtext>h</mml:mtext></mml:msup></mml:math></inline-formula> data from <xref ref-type="bibr" rid="bib1.bibx34" id="text.131"/>.</p></table-wrap-foot></table-wrap>

      <p>Bulk <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 was not measured for the KUR core used in this study, but
<xref ref-type="bibr" rid="bib1.bibx95" id="text.132"/> reported values between <inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>23.1 and <inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>24.6 ‰
for the OC fraction of selected permafrost sediments from
Samoylov Island, which lies close to Kurungnakh Island in the Lena Delta
<xref ref-type="bibr" rid="bib1.bibx34" id="paren.133"><named-content content-type="pre">see map in</named-content></xref>. These values from Samoylov Island are
significantly enriched relative to the value for the Cape Bykovsky sample
(<inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>26.0 ‰; Table S3) and may be because these deposits are
genetically different (Holocene fluvial sediments vs. Pleistocene ICD) or
reflect input from aquatic plants in low-centre polygon ponds
<xref ref-type="bibr" rid="bib1.bibx61" id="paren.134"/>. However, input from peat, grasses, herbs and
shrubs results in more negative values such as those reported by
<xref ref-type="bibr" rid="bib1.bibx61" id="text.135"/> for a range of sites in the region including
Kurungnakh Island and the Bykovsky Peninsula (range <inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>30 to <inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>25 ‰). 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 values for the ISSS-08 sediments from
Buor-Khaya Bay (<inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>25.3 to <inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>26.6 ‰) and the Dmitry Laptev Strait
(<inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>26.9 to <inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>27.4 ‰) therefore suggest a significant
contribution of terrestrial material. <xref ref-type="bibr" rid="bib1.bibx93" id="text.136"/> reported an extensive
compilation of circum-Arctic literature data with an average <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
value of <inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>26.3 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.7 ‰ for ICD OC (coastal, inland and
sub-sea; formed before inundation) and even more depleted values for topsoil
permafrost with <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>28.2 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 2.0 ‰ (Table 1). By combining bulk <inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn>13</mml:mn></mml:msup></mml:math></inline-formula>C and <inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn>14</mml:mn></mml:msup></mml:math></inline-formula>C data, these authors estimated the
proportion of sedimentary OM derived from ICD, topsoil and marine sources,
with over two-thirds of the OM in Buor-Khaya Bay derived from terrestrial
sources and even higher values in Dmitry Laptev Strait sediments. These
terrestrial OM estimates can now be compared to estimates based on the BHP
concentrations/compositions obtained using a similar approach with the
results from the ICD samples as the terrestrial endmembers.</p>
      <p>ICD samples from the Indigirka (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:math></inline-formula>) and Kolyma River (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">8</mml:mn></mml:mrow></mml:math></inline-formula>) regions had
lower absolute concentrations of BHPs (BHT range 8.5 to 62 <inline-formula><mml:math display="inline"><mml:mrow><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msubsup><mml:mi mathvariant="normal">g</mml:mi><mml:mtext>OC</mml:mtext><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msubsup></mml:mrow></mml:math></inline-formula>; non-methylated soil markers range from 43 to 123 <inline-formula><mml:math display="inline"><mml:mrow><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msubsup><mml:mi mathvariant="normal">g</mml:mi><mml:mtext>OC</mml:mtext><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msubsup></mml:mrow></mml:math></inline-formula>) and generally higher <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:msup><mml:mi>R</mml:mi><mml:mo>′</mml:mo></mml:msup><mml:mtext>soil</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula>
values than those from the Lena region (mean 0.76, range 0.62–0.84;
Tables 1, S3; Fig. 5a). Although there are some differences in the relative
abundances of the non-methylated soil markers BHPs between the different
regions (Table S4), in all cases BHP <bold>1a</bold> was the most abundant,
followed by BHP <bold>1b</bold> and minor relative amounts of BHP <bold>1b'</bold>
(see Table S4). Correlation of concentrations of all three pairs of these
non-methylated soil markers (BHP <bold>1a</bold> vs. BHP <bold>1b</bold>, BHP
<bold>1b</bold> vs. BHP <bold>1b'</bold> and BHP <bold>1a</bold> vs. BHP <bold>1b'</bold>) in
all ICD samples gives an <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi>r</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup><mml:mo>&gt;</mml:mo><mml:mn>0.6</mml:mn></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula> value <inline-formula><mml:math display="inline"><mml:mrow><mml:mo>&lt;</mml:mo><mml:mn>0.001</mml:mn></mml:mrow></mml:math></inline-formula> for each pair of
compounds. This shows that the distribution of the non-methylated soil
markers in all ICD samples is comparable across the East Siberian Arctic
region. Given the higher <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:msup><mml:mi>R</mml:mi><mml:mo>′</mml:mo></mml:msup><mml:mtext>soil</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> values for ICD in
the eastern region, this suggests that although some removal of soil marker
BHPs may have already occurred in the river estuaries before reaching the
near-coastal shelf sediments, a significant proportion remains intact. Based
on the range of ICD permafrost endmember data for the Kolyma and Indigirka
samples, this would suggest that 58 to 92 % of the OC derived from
terrestrial OM (e.g. % ICD and topsoil) at the start of the offshore Kolyma
River mouth surface sediment transect (sample YS-34B,
<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:msup><mml:mi>R</mml:mi><mml:mo>′</mml:mo></mml:msup><mml:mtext>soil</mml:mtext></mml:msub><mml:mo>=</mml:mo><mml:mn>0.57</mml:mn></mml:mrow></mml:math></inline-formula>) and 49 to 77 % of the OC derived
from terrestrial OM at the start of the offshore transect off the Indigirka
River mouth (sample YS-30, <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:msup><mml:mi>R</mml:mi><mml:mo>′</mml:mo></mml:msup><mml:mtext>soil</mml:mtext></mml:msub><mml:mo>=</mml:mo><mml:mn>0.48</mml:mn></mml:mrow></mml:math></inline-formula>) is of
terrestrial origin. These values should be treated with caution given the
limited number of samples involved, but are close to the average value
reported for the ESAS surface sediments based on dual-carbon-isotope (<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) mixing models <xref ref-type="bibr" rid="bib1.bibx93" id="paren.137"><named-content content-type="pre"><inline-formula><mml:math display="inline"><mml:mrow><mml:mn>75</mml:mn><mml:mo>±</mml:mo><mml:mn>14</mml:mn></mml:mrow></mml:math></inline-formula> % from
terrestrial origin;</named-content></xref>.</p>
      <p>This difference in <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:msup><mml:mi>R</mml:mi><mml:mo>′</mml:mo></mml:msup><mml:mtext>soil</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> values in permafrost
deposits/ICDs across the East Siberian Arctic region is likely due to two
separate regional provinces, both underlain by mostly continuous permafrost,
but with permafrost deposits of different ages and formation mechanisms
<xref ref-type="bibr" rid="bib1.bibx61" id="paren.138"/>. Further, samples in the western and far eastern
region are subject to different environmental conditions (with colder and
drier conditions in the far eastern region <xref ref-type="bibr" rid="bib1.bibx25" id="paren.139"/>, potentially
indicating better preservation of the structurally more complex soil marker
BHPs relative to BHT (see Sect. 3.2). This agrees with previous studies
which have also found better preservation of more highly functionalised and
biolabile molecules in materials from the eastern region
<xref ref-type="bibr" rid="bib1.bibx28 bib1.bibx89" id="paren.140"><named-content content-type="pre">e.g.</named-content></xref>. <xref ref-type="bibr" rid="bib1.bibx88" id="text.141"/> reported that fine and
ultrafine grain size fractions contain a high proportion of high-molecular-weight lipid markers which are preferably bound to the mineral matrix and
that the reactivity of lipid biomarkers on the ESAS seems to be lower and
inversely proportional to the number of functional groups (cutin acids <inline-formula><mml:math display="inline"><mml:mo>&gt;</mml:mo></mml:math></inline-formula>
<italic>n</italic>-alkanolic acid <inline-formula><mml:math display="inline"><mml:mo>&gt;</mml:mo></mml:math></inline-formula> <italic>n</italic>-alkanols <inline-formula><mml:math display="inline"><mml:mo>&gt;</mml:mo></mml:math></inline-formula> <italic>n</italic>-alkanes). Even
though the reactivity for different BHPs is currently unknown, this points
towards a potential recalcitrance of highly functionalised BHP molecules on
the ESAS. Furthermore, studies from soils have shown the potential for
mineral–organic interactions, leading to increased resistance to degradation
for aromatic compounds <xref ref-type="bibr" rid="bib1.bibx50 bib1.bibx51" id="paren.142"/>. Adenosylhopane, the
most abundant single soil marker BHP on the ESAS, is the only BHP containing
an aromatic moiety (adenine). Although <xref ref-type="bibr" rid="bib1.bibx33" id="text.143"/> found
organic–mineral associations to be of minor importance in the polygonal tundra
of the Lena Delta, organic–mineral interactions may still be among several
factors explaining the high relative abundance of these compounds under
certain conditions.</p>
      <p>However, the current sample set discussed is limited given the enormous
spatial scale and extremely heterogeneous nature of these environments and
does not include, for example, material released from thermokarst
environments, including thermokarst lake sediments, which can be an important
source of OC and inorganic material <xref ref-type="bibr" rid="bib1.bibx94" id="paren.144"/>. Furthermore,
environmental parameters other than location (and inferred temperature) must
also be considered as potentially affecting the overall BHP assemblage. For
example, <xref ref-type="bibr" rid="bib1.bibx34" id="text.145"/> recently demonstrated using principal component
analysis that increasing pH, over a range of 4.5 to 6.7, was positively
correlated with soil marker BHP concentration in Lena Delta permafrost, which
is in close proximity (<inline-formula><mml:math display="inline"><mml:mrow><mml:mo>&lt;</mml:mo><mml:mn>10</mml:mn></mml:mrow></mml:math></inline-formula> km) to the site of the KUR core studied here.
These authors proposed that this might indicate source organisms do not need
to further extend their BHP side chains to alter membrane architecture at
near-neutral conditions. Furthermore, studies of temperate <italic>Sphagnum</italic>
peat deposits, which typically have low pH values, show low abundance of soil
marker compounds relative to total BHPs when compared to mineral soils, but
have higher abundance of BHT resulting in very low
<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:msup><mml:mi>R</mml:mi><mml:mo>′</mml:mo></mml:msup><mml:mtext>soil</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> values <xref ref-type="bibr" rid="bib1.bibx91 bib1.bibx92" id="paren.146"><named-content content-type="pre">mean 0.4; calculated from data
in</named-content></xref>. This could suggest that, in areas with a
significant input from peat-derived material in some areas/layers of the Lena
Delta ICD <xref ref-type="bibr" rid="bib1.bibx3 bib1.bibx95" id="paren.147"/>, lower
<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:msup><mml:mi>R</mml:mi><mml:mo>′</mml:mo></mml:msup><mml:mtext>soil</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> values should be expected in agreement with
observations in this study (Table S3). Indeed, pH has also been shown to play
a dominant role in shaping bacterial communities with the capacity to produce
hopanoids in an acidic peatland <xref ref-type="bibr" rid="bib1.bibx23" id="paren.148"/>. Clearly a more
comprehensive assessment of different terrestrial endmembers across the
region is required, as are additional studies on primary environmental factors
affecting BHP biosynthesis in culture. For example, to date no studies have
investigated biosynthesis of adenosylhopane in psychrophilic/psychrotolerant
organisms at different temperatures or at different growth stages, and
studies of BHPs in association with pH adaptation have yet to measure
adenosylhopane abundances <xref ref-type="bibr" rid="bib1.bibx97" id="paren.149"><named-content content-type="pre">e.g.</named-content></xref>. Given that
adenosylhopane is the precursor for biosynthesis of all other side-chain
extended BHPs <xref ref-type="bibr" rid="bib1.bibx8" id="paren.150"/>, it is possible that, under conditions of
stress (such as extreme temperature and nutrient limitation), production of
adenosylhopane without further modification is sufficient and/or all that
some organisms are capable of and further modification is metabolically
unfavourable/unnecessary.</p>
</sec>
</sec>
<sec id="Ch1.S4" sec-type="conclusions">
  <title>Conclusions</title>
      <p>Different suites of terrigenous microbial membrane lipids (biohopanoids and
brGDGTs) and bulk carbon isotopes were used to trace the source and transport
of terrestrial OC on the ESAS. As expected, ESAS sediments are terrestrially
dominated; however, BHP- and GDGT-based SOM proxies are decoupled in
Buor-Khaya Bay, southeastern Laptev Sea and across the ESAS, in agreement with an
earlier pilot study of the surface sediment offshore transect off the Kolyma
River mouth <xref ref-type="bibr" rid="bib1.bibx18" id="paren.151"/>. This is likely due to different
sources, transport and/or degradation pathways for the various lipids. In
particular, whilst brGDGTs have previously been shown to be primarily
delivered to the ESAS via fluvial transport <xref ref-type="bibr" rid="bib1.bibx77" id="paren.152"/>, BHPs appear
to provide a more integrated signature correlating linearly with bulk carbon
isotope ratios as well as distance from river mouths. The BHP terrestrial
endmembers, i.e. adenosylhopane and other soil marker BHPs, are significant
components of coastal ICD which are transferred to ESAS sediments during
coastal erosion. <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:msup><mml:mi>R</mml:mi><mml:mo>′</mml:mo></mml:msup><mml:mtext>soil</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> proxy values, although
still limited for this region, vary widely with on average significantly
lower values occurring to the western range of East Siberia (average 0.5 for
the Lena Delta ICD) and higher values further east (average 0.76 for
Indigirka and Kolyma ICD). The controlling factors responsible for this
difference may include factors such as depositional history and age of
permafrost deposits, mineral grain size, environmental/abiotic factors (e.g.
temperature, precipitation and pH), and microbial/metabolic factors
under psychrophilic conditions and require further investigation.</p>
</sec>
<sec id="Ch1.S5">
  <title>Data availability</title>
      <p>Data used in this article can be found in the Supplement.</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-13-4899-2016-supplement" xlink:title="zip">doi:10.5194/bg-13-4899-2016-supplement</inline-supplementary-material>.</bold></p></supplementary-material>
        </app-group><notes notes-type="authorcontribution">

      <p>Ö. Gustafsson, B. E. van Dongen, O. V. Dudarev, and I. P. Semiletov collected
samples along with the crew of ISSS-08. Ice complex samples were collected
and provided by R. G. M. Spencer, E. Rivkina, D. Wagner and A. N. Kurchatova.
H. M. Talbot and B. E. van Dongen designed the study, which was carried out
by J. Bischoff, with assistance from R. B. Sparkes and A. Doğrul Selver.
H. M. Talbot, J. Bischoff, R. B. Sparkes and B. E. van Dongen prepared the
manuscript with contributions from all co-authors.</p>
  </notes><ack><title>Acknowledgements</title><p>We gratefully acknowledge receipt of a NERC research grant (NE/I024798/1 and
NE/I027967/1) to B. E. van Dongen and H. M. Talbot, a Ph.D. studentship to
A. Doğrul Selver funded by the Ministry of National Education of Turkey,
financial support as an Academy Research Fellow to Ö. Gustafsson from the Swedish
Royal Academy of Sciences through a grant from the Knut and Alice Wallenberg
Foundation and support from the Government of the Russian Federation (grant
#14, Z50.31.0012/03.19.2014) to I. Semiletov and from the Russian Scientific
Foundation to O. Dudarev (grant # 15-17-20032). We thank the crew and personnel of
the R/V <italic>Yakob Smirnitsky</italic> and all colleagues in the International Siberian
Shelf Study (ISSS) programme for support, including sampling. We thank A. N.
Kurchatova for assistance with fieldwork on Kurungnakh Island and T. Tesi for
providing the Yedoma samples for the Kolyma and Indigirka catchment areas. We
thank P. Lythgoe (University of Manchester) and F. Sidgwick (Newcastle
University) for invaluable assistance with LCMS and the Science Research
Investment Fund (SRIF) from HEFCE for the Thermo Finnigan LCQ ion trap mass
spectrometer (Newcastle University). R. G. M. Spencer was partially supported
by the U.S. National Science Foundation (ANT-1203885/PLR-1500169). The ISSS
programme is supported by the Knut and Alice Wallenberg Foundation, the Far
Eastern Branch of the Russian Academy of Sciences, the Swedish Research
Council, the US National Oceanic and Atmospheric Administration, the Russian
Foundation of Basic Research, the Swedish Polar Research Secretariat, the
Nordic Council of Ministers and the US National Science Foundation. Finally,
we thank the associate editor and the two anonymous reviewers for constructive
suggestions.<?xmltex \hack{\newline}?><?xmltex \hack{\newline}?>
Edited by: J. Middelburg<?xmltex \hack{\newline}?>
Reviewed by: two anonymous referees</p></ack><ref-list>
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    </app></app-group></back>
    <!--<article-title-html>Source, transport and fate of soil organic matter inferred from microbial biomarker lipids on the East Siberian Arctic Shelf</article-title-html>
<abstract-html><p class="p">The Siberian Arctic contains a globally significant pool of organic carbon
(OC) vulnerable to enhanced warming and subsequent release by both fluvial
and coastal erosion processes. However, the rate of release, its behaviour in
the Arctic Ocean and vulnerability to remineralisation is poorly understood.
Here we combine new measurements of microbial biohopanoids including
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published glycerol dialkyl glycerol tetraethers (GDGTs) and bulk <i>δ</i><sup>13</sup>C measurements to improve knowledge of the fate of OC transported to
the East Siberian Arctic Shelf (ESAS). The microbial hopanoid-based soil OC
proxy <i>R</i>′<sub>soil</sub> ranges from 0.0 to 0.8 across the
ESAS, with highest values nearshore and decreases offshore. Across the shelf
<i>R</i>′<sub>soil</sub> displays a negative linear correlation with
bulk <i>δ</i><sup>13</sup>C measurements (<i>r</i><sup>2</sup> = −0.73, <i>p</i> =  &lt; 0.001). When
compared to the GDGT-based OC proxy, the branched and isoprenoid tetraether
(BIT) index, a decoupled (non-linear) behaviour on the shelf was observed,
particularly in the Buor-Khaya Bay, where the <i>R</i>′<sub>soil</sub>
shows limited variation, whereas the BIT index shows a rapid decline moving
away from the Lena River outflow channels. This reflects a balance between
delivery and removal of OC from different sources. The good correlation
between the hopanoid and bulk terrestrial signal suggests a broad range of
hopanoid sources, both fluvial and via coastal erosion, whilst GDGTs appear to
be primarily sourced via fluvial transport. Analysis of ice complex deposits
(ICDs) revealed an average <i>R</i>′<sub>soil</sub> of 0.5 for the
Lena Delta, equivalent to that of the Buor-Khaya Bay sediments, whilst ICDs
from further east showed higher values (0.6–0.85). Although
<i>R</i>′<sub>soil</sub> correlates more closely with bulk OC than
the BIT, our understanding of the endmembers of this system is clearly still
incomplete, with variations between the different East Siberian Arctic regions
potentially reflecting differences in environmental conditions (e.g.
temperature, pH), but other physiological controls on microbial bacteriohopanepolyol (BHP) production
under psychrophilic conditions are as yet unknown.</p></abstract-html>
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