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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-13-3833-2016</article-id><title-group><article-title>Identification and analysis of low-molecular-weight dissolved organic carbon
in subglacial basal ice ecosystems by ion chromatography</article-title>
      </title-group><?xmltex \runningtitle{Identification and analysis of low-molecular-weight dissolved organic carbon}?><?xmltex \runningauthor{E.~C.~O'Donnell et al.}?>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes" rid="aff1 aff2">
          <name><surname>O'Donnell</surname><given-names>Emily C.</given-names></name>
          <email>emily.o'donnell@nottingham.ac.uk</email>
        <ext-link>https://orcid.org/0000-0003-4303-4705</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2">
          <name><surname>Wadham</surname><given-names>Jemma L.</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2">
          <name><surname>Lis</surname><given-names>Grzegorz P.</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2">
          <name><surname>Tranter</surname><given-names>Martyn</given-names></name>
          
        <ext-link>https://orcid.org/0000-0003-2071-3094</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff3">
          <name><surname>Pickard</surname><given-names>Amy E.</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff4">
          <name><surname>Stibal</surname><given-names>Marek</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff5">
          <name><surname>Dewsbury</surname><given-names>Paul</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff6">
          <name><surname>Fitzsimons</surname><given-names>Sean</given-names></name>
          
        </contrib>
        <aff id="aff1"><label>1</label><institution>School of Geography, University of Nottingham, University Park,
Nottingham, NG7 2RD, UK</institution>
        </aff>
        <aff id="aff2"><label>2</label><institution>Bristol Glaciology Centre, School of Geographical Sciences, University
Road, Bristol, BS8 1SS, UK</institution>
        </aff>
        <aff id="aff3"><label>3</label><institution>School of Geosciences, University of Edinburgh, Kings Buildings, West
Mains Rd, Edinburgh, EH9 3JN, UK</institution>
        </aff>
        <aff id="aff4"><label>4</label><institution>Department of Ecology, Charles University in Prague, Vinicna 7, 128 44
Prague 2, Czech Republic</institution>
        </aff>
        <aff id="aff5"><label>5</label><institution>Thermo Fisher Scientific, Stafford House, 1 Boundary Park, Hemel
Hempstead, Hertfordshire HP27 GE4, UK</institution>
        </aff>
        <aff id="aff6"><label>6</label><institution>Department of Geography, University of Otago, P.O. Box 56, Dunedin, Otago
9056, New Zealand</institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">Emily C. O'Donnell (emily.o'donnell@nottingham.ac.uk)</corresp></author-notes><pub-date><day>1</day><month>July</month><year>2016</year></pub-date>
      
      <volume>13</volume>
      <issue>12</issue>
      <fpage>3833</fpage><lpage>3846</lpage>
      <history>
        <date date-type="received"><day>23</day><month>July</month><year>2015</year></date>
           <date date-type="rev-request"><day>27</day><month>August</month><year>2015</year></date>
           <date date-type="rev-recd"><day>11</day><month>April</month><year>2016</year></date>
           <date date-type="accepted"><day>13</day><month>June</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/13/3833/2016/bg-13-3833-2016.html">This article is available from https://bg.copernicus.org/articles/13/3833/2016/bg-13-3833-2016.html</self-uri>
<self-uri xlink:href="https://bg.copernicus.org/articles/13/3833/2016/bg-13-3833-2016.pdf">The full text article is available as a PDF file from https://bg.copernicus.org/articles/13/3833/2016/bg-13-3833-2016.pdf</self-uri>


      <abstract>
    <p>Determining the concentration and composition of dissolved organic carbon
(DOC) in glacial ecosystems is important for assessments of in situ
microbial activity and contributions to wider biogeochemical cycles.
Nonetheless, there is limited knowledge of the abundance and character of
DOC in basal ice and the subglacial environment and a lack of quantitative
data on low-molecular-weight (LMW) DOC components, which are believed to be
highly bioavailable to microorganisms. We investigated the abundance and
composition of DOC in basal ice via a molecular-level DOC analysis.
Spectrofluorometry and a novel ion chromatographic method, which has been
little utilized in glacial science for LMW-DOC determinations, were employed
to identify and quantify the major LMW fractions (free amino acids,
carbohydrates, and carboxylic acids) in basal ice from four glaciers, each
with a different type of overridden material (i.e. the pre-entrainment
sedimentary type such as lacustrine material or palaeosols). Basal ice from
Joyce Glacier (Antarctica) was unique in that 98 % of the LMW-DOC was
derived from the extremely diverse free amino acid (FAA) pool, comprising
14 FAAs. LMW-DOC concentrations in basal ice were dependent on the
bioavailability of the overridden organic carbon (OC), which in turn was
influenced by the type of overridden material. Mean LMW-DOC concentrations
in basal ice from Russell Glacier (Greenland), Finsterwalderbreen (Svalbard),
and Engabreen (Norway) were low (0–417 nM C), attributed to the relatively
refractory nature of the OC in the overridden palaeosols and bedrock. In
contrast, mean LMW-DOC concentrations were an order of magnitude higher
(4430 nM C) in basal ice from Joyce Glacier, a reflection of the high
bioavailability of the overridden lacustrine material (&gt; 17 %
of the sediment OC comprised extractable carbohydrates, a proxy for
bioavailable OC). We find that the overridden material may act as a direct
(via abiotic leaching) and indirect (via microbial cycling) source of DOC to
the subglacial environment and provides a range of LMW-DOC compounds that
may stimulate microbial activity in wet subglacial sediments.</p>
  </abstract>
    </article-meta>
  </front>
<body>
      

<sec id="Ch1.S1" sec-type="intro">
  <title>Introduction</title>
      <p>Basal ice forms part of the subglacial environment, which also includes
subglacial sediments and subglacial waters (Hodson et al., 2008). It hosts
viable microbial communities that may play a significant role in the organic
carbon (OC) turnover in glaciated regions (Sharp et al., 1999; Skidmore et
al., 2000; Foght et al., 2004). Basal ice is typically defined as ice that
has acquired distinctive physical and/or chemical characteristics due to
processes operating at or near to the bed of an ice mass (Hubbard et al.,
2009). Basal ice layers may comprise ice and debris entrained from beneath
the glacier and meteoric ice derived from the surface and diagenetically
modified by hydraulic, thermal, and strain conditions at the glacier bed
(Knight, 1997). A range of processes can form basal ice, which we
highlight briefly. For instance, new basal ice may form from basal accretion
of supercooled subglacial water, a freeze-on (or adfreezing) mechanism
(Lawson et al., 1998), or by regelation, the localized melting and
refreezing of ice at the glacier bed, e.g. around a bedrock obstacle, which
represents an important mechanism to entrain subglacial debris into the
basal ice (Iverson and Semmens, 1995). Sediment may also be incorporated
into basal ice by folding (Hubbard and Sharp, 1989), cavity/crevasse
infilling, structural deformation, thrusting, traction/shearing, and
metamorphism of existing ice at the glacier bed (Knight, 1997).
Metamorphosis of meteoric glacier ice can thicken basal ice layers (Sharp et
al., 1994), and post-formational tectonic deformation of basal ice can cause
intermixing of glacier and basal ice (Waller et al., 2000).</p>
      <p>The chemical composition of basal ice reflects characteristics of the parent
water prior to being frozen (Knight, 1997). In temperate and polythermal
glaciers, this may include supraglacial inputs, whereas in cold-based
glaciers where there is little surface meltwater penetration, the majority
of meltwater at the glacier bed likely derives from basal ice melting. This
water may flow at the base of the glacier, be held in porewaters in
overridden water-saturated sediment, or represent refrozen water from
pressure melting during the regelation process. The parent water has
potential to acquire dissolved compounds (including dissolved organic carbon (DOC) and low molecular weight (LMW)-DOC) via
biogeochemical interactions with the overridden subglacial material. To
date, there has been only limited examination of the potential for different
bedrock types and overridden organic matter, such as palaeosols and
lacustrine material (Wadham et al., 2008; Stibal et al., 2012), to act as a
source of bioavailable DOC to basal ice, subglacial meltwater, and runoff,
either directly (via abiotic leaching or in situ abiotic processes such as
dissolution in water films around basal debris and in liquid water veins;
Mader et al., 2006) or indirectly (via microbial cycling). Further
knowledge is needed to determine the abundance and composition of
potentially bioavailable LMW-DOC in basal ice at the base of glaciers and
ice sheets and the implications this may have on subglacial DOC cycling.</p>
      <p>OC cycling in the subglacial environment can be investigated by incubation
experiments that monitor DOC decline and/or biogenic gas (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
CH<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> production (Montross et al., 2012; Stibal et al., 2012) and
provide a direct measure of bioavailability. Analysis of marker compounds in
the DOC, such as free amino acids (FAAs) (Pautler et al., 2011), may provide
an indirect assessment of bioavailability. These analyses may be
complemented by fluorescence spectroscopy, where fluorescing components
(fluorophores) are identified and associated with particular DOC compounds,
e.g. protein-like and humic-like components. The protein-like compounds are
more easily utilized by aquatic heterotrophs when compared with the more
aromatic humic-like components (Fellman et al., 2008) and are indicative of
recent microbial activity (Barker et al., 2006, 2010). More recently,
glacial DOC has been characterized at the molecular level by
electrospray ionization (ESI) Fourier transform ion cyclotron resonance
(FT-ICR) mass spectrometry (MS) (Grannas et al., 2006; Bhatia et al.,
2010; Lawson et al., 2014a), and by solution-state <inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">1</mml:mn></mml:msup></mml:math></inline-formula>H nuclear magnetic
resonance (NMR) spectroscopy (Pautler et al.,
2011, 2012). Both methods have provided unprecedented high-resolution mass
spectral information on DOC, but are not fully quantitative. Ion
chromatography has been used to quantify a much smaller range of common
LMW-DOC compounds, including carboxylic acids in ice cores and snow from
Greenland, Antarctica, and alpine glaciers (Saigne et al., 1987; Maupetit
and Delmas 1994; Tison et al., 1998). These LMW-DOC compounds typically
represent small fractions of the bulk DOC (Borch and Kirchmann,
1997), yet are believed to be highly bioavailable to microorganisms owing to
their rapid turnover and uptake rates (Rich et al., 1997; Skoog and
Benner, 1997). Ion chromatography has yet to be widely employed to determine
the molecular structure of glacial LMW-DOC due to the trace analyte
concentrations (Lawson et al., 2014b). Recent advances in ion chromatography
instrumentation and system optimization (e.g. greater column sensitivities,
low flow rates, multiple eluents, and gradient elution) enabled this study to
identify and quantify numerous LMW-DOC compounds at low (&lt; 70 nM C)
concentrations, which demonstrates a novel methodological approach to glacial
LMW-DOC analysis.</p>
      <p>Here, we investigate the abundance and composition of LMW-DOC compounds
(free amino acids, carbohydrates, and carboxylic acids) in debris-rich basal
ice. We investigate four different glaciers with distinct temperature
regimes, overridden substrates and, hence, contrasting sources of
terrestrial organic matter. These glaciers were Joyce Glacier (Antarctica –
lacustrine organic matter, cold-based), Russell Glacier (Greenland Ice
Sheet, GrIS – palaeosols, polythermal), Finsterwalderbreen (Svalbard –
bedrock with high OC, polythermal), and Engabreen (Norway – bedrock with
low OC, temperate). We investigate whether LMW-DOC abundance in basal ice is
influenced by the magnitude and bioreactivity of the OC in the overridden
material.</p>
</sec>
<sec id="Ch1.S2">
  <title>Sampling sites, basal ice description, and sample collection</title>
<sec id="Ch1.S2.SS1">
  <title>Joyce Glacier, Antarctica</title>
      <p>Joyce Glacier (67<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>06<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula> S, 50<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>09<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula> W; 90 km<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> is
situated in the Garwood Valley, Antarctica. A large
proglacial lake, dammed by an ice sheet grounded in the McMurdo Sound
&gt; 23 000 <inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn>14</mml:mn></mml:msup></mml:math></inline-formula>C yr BP (Péwé, 1960; Hendy, 2000),
is thought to have previously occupied the valley (Hendy, 2000). Joyce
Glacier is cold-based, meaning that it is completely frozen to the
underlying substrate. The bedrock lithology includes dolomite, granite, and
metamorphic rocks. Joyce Glacier recently advanced over lake sediment
(Stuiver et al., 1981), and hence the basal material is thought to
contain labile OC and algal-derived organic matter of Holocene age.</p>
</sec>
<sec id="Ch1.S2.SS2">
  <title>Russell Glacier, GrIS</title>
      <p>Russell Glacier (67<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>03<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula> N, 50<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>10<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula> W;
&gt; 600 km<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>, situated on the west margin of the GrIS, is
polythermal-based. Warm ice, with a temperature at the pressure melting
point, in the interior is surrounded by a frozen layer beneath the thinner
ice of the margins. Surface melting delivers supraglacial meltwater to the
subglacial system from the onset of the spring thaw. The bedrock is
predominantly Archaean gneiss (Escher and Watt, 1976). Basal debris contains
overridden Quaternary deposits (including palaeosols) and relatively fresh
organic matter (Knight et al., 2002), which was buried during the Holocene
(Simpson et al., 2009).</p>
</sec>
<sec id="Ch1.S2.SS3">
  <title>Finsterwalderbreen, Svalbard</title>
      <p>Finsterwalderbreen (77<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>28<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula> N, 15<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></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> E; 44 km<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> is located on the southern side of Van
Keulenfjorden, southern Svalbard, and is a polythermal surge-type glacier.
Finsterwalderbreen last surged between 1898 and 1920 (Liestøl,
1999),
which may have influenced the formation of the basal ice as has been shown,
for example, at Variegated Glacier (Sharp et al., 1994). The glacier is
currently retreating at a rate of 10–45 m a<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> (Wadham et al.,
2007). The bedrock consists of Precambrian carbonates, sandstones,
limestones, and shales (Dallmann et al., 1990). Shales exposed to water
may provide a steady source of DOC (Schillawski and Petsch, 2008). The shale
beneath Finsterwalderbreen contains up to 2.3 % OC (Wadham et
al., 2004).</p>
</sec>
<sec id="Ch1.S2.SS4">
  <title>Engabreen, Norway</title>
      <p>Engabreen (66<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>41<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula> N, 13<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>46<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula> E; 40 km<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> is temperate and part of the western Svartisen ice cap, northern
Norway. Engabreen bedrock consists mostly of schist and gneiss, with calcite-filled cracks (Jansson et al., 1996), and contains relatively little
OC. A combination of in-washed material from the glacier surface and
overridden soils of Holocene age may be the principal OC sources
(Stibal et al., 2012).</p>
</sec>
<sec id="Ch1.S2.SS5">
  <title>Basal ice description and sample collection</title>
      <p>Joyce Glacier basal ice samples were collected in the austral summer of 2010
from recently exposed, upthrust bands of debris-rich basal ice at the margin
on the southern flank of the glacier. Basal ice was sampled where the facies
were composed of frozen debris and only weakly exhibited layers that were
&gt; 1 mm thick but &lt; 1 m thick, classified as solid banded
basal ice (Hubbard et al., 2009). We assume that the basal ice was
formed under cold-based conditions.</p>
      <p>Debris-rich basal ice blocks from the Russell Glacier margin were collected
in spring 2008. Samples were collected from the southern corner of the
glacier where it has previous advanced into a dune and from within 1.5 m of
the ice–bed contact. The basal ice samples contained subglacial sediment
that had been extruded up from the glacier bed via fissures near the
terminus. This comprised banded basal ice where the debris was generally
restricted to narrow sediment layers and large vein networks were clearly
evident. As Russell Glacier is polythermal, we assume that the basal ice was
formed by a combination of regelation and cold-based processes such as basal
adfreezing onto the glacier sole.</p>
      <p>Finsterwalderbreen was sampled in autumn 2008. Basal ice blocks were
collected from the terminus on the northern flank of the glacier from
sections of dispersed banded basal ice (referred to as DB basal ice), within
1.5 m of the ice–bed contact, and from surface outcrops of frozen subglacial
material, or thrust bands, with distinct debris layers (referred to as solid
banded (SB) basal ice). It is probable that the thrust bands were formed
during the most recent surge during two phases of thrusting: primary
thrusting during the early surge phase in the subglacial zone between
temperate ice and cold ice, and secondary thrusting during the surge
termination due to ice flow compression, as envisaged for the similar
polythermal surge-type Kuannersuit Glacier (Larsen et al., 2010).
Finsterwalderbreen DB and SB basal ice are reported separately due to the
very different mean debris concentrations (by mass): <inline-formula><mml:math display="inline"><mml:mrow><mml:mn>20</mml:mn><mml:mo>±</mml:mo><mml:mn>27</mml:mn></mml:mrow></mml:math></inline-formula> % (DB
basal ice) and <inline-formula><mml:math display="inline"><mml:mrow><mml:mn>86</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">6</mml:mn></mml:mrow></mml:math></inline-formula> % (SB basal ice, where the debris component
was much higher). As Finsterwalderbreen is polythermal, we assume that the
basal ice was formed by a combination of regelation and cold-based
processes. Basal ice samples from Finsterwalderbreen and Russell Glacier
were collected from the same sites as the samples that were analysed in
Stibal et al. (2012), and hence we use their <inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn>14</mml:mn></mml:msup></mml:math></inline-formula>C ages (Table 2).</p>
      <p>Debris-rich basal ice samples from Engabreen were collected in autumn 2009
from an underground tunnel system excavated through bedrock beneath 210 m of
sliding ice (Cohen, 2000). The basal ice stratigraphy comprises
sediment-rich ice layers overlain by clean sediment-free and bubble-free ice
(Jansson et al., 1996). We collected samples from sections of banded basal
cryofacies from within 1.5 m of the ice–bed contact. Hot-water drilling was
first implemented to create a basal cavity and the ice subsequently
extracted by chain-sawing (described below). As Engabreen is temperate, we
assume that the basal ice was formed primarily by regelation (Jansson et
al., 1996).</p>
      <p>Basal ice blocks (<inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 40 cm<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> were collected by
chain-sawing in all sample locations. The outermost <inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 0.5 m of
the ice surface was removed before the blocks were cut. The blocks were
wrapped in pre-combusted foil and stored at <inline-formula><mml:math display="inline"><mml:mo>≤</mml:mo></mml:math></inline-formula><inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></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>C, before
being transported frozen to the University of Bristol and subsequently
stored at <inline-formula><mml:math display="inline"><mml:mrow><mml:mo>≤</mml:mo><mml:mo>-</mml:mo><mml:mn>20</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C.</p>
</sec>
</sec>
<sec id="Ch1.S3">
  <title>Methodology</title>
<sec id="Ch1.S3.SS1">
  <title>Basal ice melt and sediment sample preparation</title>
      <p>Subsamples of the basal ice were prepared for analysis by chipping
<inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 15 cm<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> chunks from the main block using a flame
sterilized chisel. The outer <inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 10–30 mm of the chips was
removed by rinsing with ultrapure (<inline-formula><mml:math display="inline"><mml:mo>≥</mml:mo></mml:math></inline-formula> 18.2 M<inline-formula><mml:math display="inline"><mml:mi mathvariant="normal">Ω</mml:mi></mml:math></inline-formula> cm) deionized water
(DI) (Millipore), and the remaining ice was transferred into a pre-combusted
glass beaker covered with foil. The ice was allowed to melt inside a laminar
flow cabinet (Telstar Mini-H) under ambient laboratory conditions, which
allowed any sediment to settle out of suspension. The ice melt was then
decanted into smaller pre-combusted beakers. Ice melt was filtered through
Whatman polypropylene Puradisc<sup>™</sup> 0.45 <inline-formula><mml:math display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>m syringe filters.
Water samples for subsequent OC analysis were stored in clean pre-combusted
borosilicate glass bottles (thrice rinsed with the sample before storage).
Five samples of filtered ice melt were taken from the <inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 15 cm<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> chunks cut out of the Joyce Glacier basal ice block, the
Finsterwalderbreen DB ice block, and the Finsterwalderbreen SB ice block.
Slightly larger volumes of ice melt permitted six samples of filtered ice melt
to be collected from the Engabreen basal ice chunk, and seven from the
Russell Glacier chunk. DI procedural blanks (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">5</mml:mn></mml:mrow></mml:math></inline-formula>) were subject to
identical processing as the samples from the filtration stage onwards to
monitor for possible contamination during processing and storage. Sample
concentrations were subsequently blank corrected (see Sect. 3.3.4).</p>
      <p>Subsamples from each ice block were also collected for free carboxylic acid
(FCA) determination. Ice was melted in an inert gas (O<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>-free-N<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>,
OFN) atmosphere to limit potential contamination during the melting process
(Saigne et al., 1987). The OFN gas first travelled through a
hydrocarbon trap (HT200-4, Agilent) to remove any volatile OC compounds.
Ice melt was filtered through Whatman polypropylene Puradisc<sup>™</sup>
0.45 <inline-formula><mml:math display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>m syringe filters into 1.5 mL vials with PTFE caps (Chromacol).
Samples were analysed within 24 h of melting to minimize losses due to
the volatile nature of the FCA compounds. Procedural blanks were collected
in concert.</p>
      <p>The subglacial sediment OC content was derived from analysis of the settled
particles, which were transferred from the beakers with clean,
ethanol-rinsed metal spatulas and stored in sterile 0.5 L Whirl-pak bags
(Nasco). Every effort was made to collect as much of the finer sediment as
possible from the bottom and sides of the beakers. However, some fine
sediment may have remained in the beaker and was thus excluded from the OC
determinations. We were also unable to collect the fine particles that
remained in suspension owing to the use of syringe filters to filter the
ice melt. The total mass of this finer sediment was small compared to the
mass of the settled sediment; therefore OC determinations were not unduly
compromised. Sediment and filtered samples were stored in the dark at <inline-formula><mml:math display="inline"><mml:mrow><mml:mo>≤</mml:mo><mml:mo>-</mml:mo><mml:mn>20</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C until analytical processing.</p>
<sec id="Ch1.S3.SS1.SSSx1" specific-use="unnumbered">
  <title>Basal ice debris concentration</title>
      <p>Basal ice debris concentrations (% by mass) were determined by mass
subtraction. Basal ice debris typically comprised sediment particles
predominantly &lt; 2 mm plus some small gravel in the
Finsterwalderbreen SB samples. First, the melted basal ice samples (sediment
<inline-formula><mml:math display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> ice melt) were weighed and the sediment extracted according to the
procedure described above. The sediment was dried in a hot-air oven (105 <inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C) for a minimum of 12 h and weighed. The basal ice debris
concentration was expressed as a percentage of a mass (of sediment) to mass
(total mass of ice and sediment) basis.</p>
</sec>
</sec>
<sec id="Ch1.S3.SS2">
  <title>Basal sediment analysis</title>
<sec id="Ch1.S3.SS2.SSS1">
  <title>Elemental analysis</title>
      <p>The subglacial sediments were first dried in a hot-air oven (105 <inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C, 12 h) and then manually homogenized by grinding. Total carbon (TC)
was measured on an EA1108 Elemental Analyser (EuroVector). Inorganic carbon
(InC) was determined by a modified Coulomat 702 Analyser (Ströhlein
Instruments). Total OC was calculated as the difference between TC and InC.
The precision of determinations was &lt; 5 %. Samples were calibrated
using external reference standards at a detection limit of 0.1 mg g<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>
(or 0.01 %).</p>
</sec>
<sec id="Ch1.S3.SS2.SSS2">
  <title>Carbohydrate sediment extractions</title>
      <p>Previous studies have estimated sediment OC bioavailability based on the
concentration of extractable carbohydrates (Biersmith and Benner, 1998;
Pusceddu et al., 2009). We employed this method to provide a conservative
estimate and acknowledge that this is not a comprehensive assessment of
bioavailable OC in the subglacial material, as other compounds, such as
enzymatically hydrolysable amino acids, were not quantified.
Operationally defined minimum estimates of extractable carbohydrate
concentrations in basal sediment were quantified by ion chromatography
following an acid-extraction protocol to convert any polysaccharides and
sugar derivatives to lower molecular weight components (Jensen et al.,
2005). We followed the protocol described in Stibal et al. (2010) and
conducted each extraction procedure in triplicate. Monosaccharide losses
occurred during hydrolysis, including the total loss of fructose, and were
not compensated for (Borch and Kirchmann, 1997; Jensen et al., 2005). This
methodological limitation means that some of the variability between samples
will be due to procedural effects, rather than a true disparity between
sediment carbohydrate concentrations.</p>
</sec>
<sec id="Ch1.S3.SS2.SSS3">
  <title>Cell counts</title>
      <p>Cell counts were conducted to quantify the microbial abundance in basal
sediment and determine whether there is potential for subglacial microbial
activity. We followed the protocol described in Stibal et al. (2012). For
Joyce Glacier samples, the method followed that of Porter and Feig (1980) (detailed in the Supplement).</p>
</sec>
</sec>
<sec id="Ch1.S3.SS3">
  <title>Analysis of basal ice melt</title>
<sec id="Ch1.S3.SS3.SSS1">
  <title>Bulk DOC</title>
      <p>DOC was determined by high-temperature combustion (680 <inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C)
using a Shimadzu TOC-V<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">CSN</mml:mi></mml:msub></mml:math></inline-formula>/TNM-1 Analyzer equipped with a high-sensitivity catalyst. Precision and accuracy of standard solutions (5–170 <inline-formula><mml:math display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>M C) of potassium hydrogen phthalate (C<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">8</mml:mn></mml:msub></mml:math></inline-formula>H<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">5</mml:mn></mml:msub></mml:math></inline-formula>KO<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>
(Merck) were &lt; <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula>6 %, and the limit of detection (LOD) was 5 <inline-formula><mml:math display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>M C.</p>
</sec>
<sec id="Ch1.S3.SS3.SSS2">
  <title>Fluorescence spectroscopy</title>
      <p>Fluorescence spectra were determined on a HORIBA Jobin Yvon Fluorolog-3
spectrofluorometer equipped with excitation and emission monochromators, a
Xenon lamp (excitation source) and FluorEssence Software. Synchronous scans
were performed at 1 nm increments with a 0.1 s integration period, 10 nm
bandwidth, and an 18 nm offset between excitation and emission monochromators
(Barker et al., 2006). The accuracy of the monochromators was
<inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula>0.5 nm. Synchronous scans of DI were run under identical scanning
conditions and subtracted from all sample spectra to correct for Raman
scattering. All scans were dark corrected and internally corrected for inner
filter effects and variations in lamp performance. Post-scan data correction
followed the protocol described by Barker et al. (2006).
Fluorophore recognition was based on values reported in the literature
(Miano and Senesi, 1992; Ferrari and Mingazzini, 1995; Coble, 1996;
Yamashita and Tanoue, 2003), and all spectra were normalized to the sample
fluorescence peak spectral maximum.</p>
</sec>
<sec id="Ch1.S3.SS3.SSS3">
  <title>OC compound determination by ion chromatography</title>
      <p>FAA, carbohydrate (FCHO), and carboxylic acid (FCA) determinations were
performed by an ICS-3000 dual-analysis reagent-free ion chromatography
system, employing electrolytic NaOH eluent generation
(Dionex<sup>™</sup>, part of Thermo Fisher Scientific).
Precision and accuracy were monitored by periodically running certified
external standards (Dionex<sup>™</sup>), and internal
standards during each sample run, at concentrations within the range of
sample concentrations (10–2000 nM C). The limit of quantification (LOQ)
was defined as the concentration of the lowest standard that could be
significantly differentiated from the next highest. The 28 basal ice samples
and five DI blanks were analysed in small batches. To limit any potential
change in analyte abundance or composition over the course of the batch
analysis due to inorganic or organic activity within the sample vial, we
typically ran 8–10 samples (plus standards and DI to flush the system)
during each run. Prior to running the samples we assessed the level of drift
(which may account for instrumental drift plus changes in LMW-DOC compounds)
in a low-level standard (50 <inline-formula><mml:math display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>g L<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> and found that ca. 21
samples could be run before significant drift (exceeding the precision of the
instrument) was noted. Due to the scarcity of sample volume we were unable to
explore whether LMW-DOC concentrations in each sample changed over the course
of the sample run.</p>
      <p>FAAs were separated via gradient anion exchange on an AminoPac PA10 column
(<inline-formula><mml:math display="inline"><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>×</mml:mo><mml:mn>250</mml:mn></mml:mrow></mml:math></inline-formula> mm) after passing through an AminoPac PA10 guard column
(<inline-formula><mml:math display="inline"><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>×</mml:mo><mml:mn>50</mml:mn></mml:mrow></mml:math></inline-formula> mm). Pulsed electrochemical detection with an Au electrode was
employed. A gradient mix of 0.25 M NaOH, 1.0 M sodium acetate (NaOAC) and
DI was used to elute 14 FAAs (lysine, alanine, threonine, glycine, valine,
serine/proline, isoleucine, leucine, methionine, phenylalanine, cysteine,
aspartic acid, glutamic acid and tyrosine) at a flow rate of
0.25 mL min<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>. Serine and proline were reported together due to
co-elution. Precision was typically ca. <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula>5 % for lysine, alanine,
threonine, glycine, valine, serine/proline, isoleucine, leucine, methionine,
and cysteine, and ca. <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula>10 % for phenylalanine, aspartic acid,
glutamic acid and tyrosine. Accuracy was &lt; <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula>7 % for all
analytes (certified external standard, Fluka Analytical). The LOQ ranged from
10 to 60 nM C.</p>
      <p>FCHOs – fucose, rhamnose, arabinose, galactose, glucose, xylose/mannose, fructose/sucrose, ribose, and
lactose – were separated isocratically at a flow rate of
0.35 mL min<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> on a CarboPac PA20 column (<inline-formula><mml:math display="inline"><mml:mrow><mml:mn mathvariant="normal">3</mml:mn><mml:mo>×</mml:mo><mml:mn>150</mml:mn></mml:mrow></mml:math></inline-formula> mm) after
passing through a CarboPac PA20 guard column (<inline-formula><mml:math display="inline"><mml:mrow><mml:mn mathvariant="normal">3</mml:mn><mml:mo>×</mml:mo><mml:mn>30</mml:mn></mml:mrow></mml:math></inline-formula> mm). Xylose and
mannose, and fructose and sucrose, were reported together due to co-elution.
Precision for fucose, rhamnose, arabinose, glucose, and xylose/mannose was
generally ca. <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula>5 %, and ca. <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula>10 % for galactose,
fructose/sucrose, ribose, and lactose. Accuracy of a certified external
standard (Dionex<sup>™</sup>) was &lt; <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula>7 %
for all analytes. The LOQ ranged from 10 to 80 nM C.</p>
      <p>FCAs – acetate, formate, propionate, and butyrate – were separated via gradient anion exchange on an
IonPac Hydroxide-Selective Anion Exchange AS11-HC column (<inline-formula><mml:math display="inline"><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>×</mml:mo><mml:mn>250</mml:mn></mml:mrow></mml:math></inline-formula> mm)
with an AS11-HC guard column (<inline-formula><mml:math display="inline"><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>×</mml:mo><mml:mn>50</mml:mn></mml:mrow></mml:math></inline-formula> mm) and Anion Self-Regenerating
Suppressor (ASRS). Electrolytic eluent generation was employed to allow
analyte separation along a NaOH gradient during the 30 min run at a flow
rate of 0.5 mL min<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>. Precision and accuracy of the four FCAs in a
certified reference standard (Supelco Analytical) were 5–8 % and
3–4 %, respectively. The LOQ ranged from 90 to 130 nM C.</p>
</sec>
<sec id="Ch1.S3.SS3.SSS4">
  <title>Blank corrections</title>
      <p>Preparation of DI blanks is described in Sect. 3.1. Blank corrections were
not required for FAAs due to the negligible blank concentrations. Minimal
corrections were required for FCHOs (1.3 nM C), but larger corrections were
required for DOC (5.85 <inline-formula><mml:math display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>M C) and FCAs (23.06 nM C).</p>
</sec>
</sec>
</sec>
<sec id="Ch1.S4">
  <title>Results</title>
<sec id="Ch1.S4.SS1">
  <title>Basal sediment characteristics</title>
      <p>Basal ice debris concentrations (by mass) differed between glaciers.
Finsterwalderbreen solid banded (FSB) and Russell Glacier basal ice
contained the highest concentration of debris (<inline-formula><mml:math display="inline"><mml:mrow><mml:mn>86</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">7</mml:mn></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math display="inline"><mml:mrow><mml:mn>55</mml:mn><mml:mo>±</mml:mo><mml:mn>25</mml:mn></mml:mrow></mml:math></inline-formula> %, Table 1), which are similar to percentages in GrIS banded
ice (46–57 %), solid ice (61 %) (Yde et al., 2010), and debris bands
(71 %) (Sugden et al., 1987). Debris concentrations in basal ice from
Engabreen (<inline-formula><mml:math display="inline"><mml:mrow><mml:mn>37</mml:mn><mml:mo>±</mml:mo><mml:mn>21</mml:mn></mml:mrow></mml:math></inline-formula> %), Joyce Glacier (<inline-formula><mml:math display="inline"><mml:mrow><mml:mn>21</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">6</mml:mn></mml:mrow></mml:math></inline-formula> %), and
Finsterwalderbreen dispersed banded (FDB) (<inline-formula><mml:math display="inline"><mml:mrow><mml:mn>20</mml:mn><mml:mo>±</mml:mo><mml:mn>27</mml:mn></mml:mrow></mml:math></inline-formula> %) were lower
than percentages in GrIS and FSB ice.</p>
      <p>We investigated possible correlations between DOC (and LMW-DOC) and the
debris content of the basal ice, which may provide information on DOC
provenance and the potential for DOC to leach from sediments into the basal
ice. We acknowledge that if DOC is leached from sediments the controlling
variable will be the surface area, rather than the debris concentration.
However, a detailed investigation into the particle size distribution was
beyond the scope of this study. We thus conducted a preliminary analysis to
determine if the relationship with debris concentration differed for DOC and
LMW-DOC. Significant positive associations between debris concentration and
DOC were only evident in Joyce Glacier (<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>0.71</mml:mn></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mi mathvariant="italic">&lt;</mml:mi><mml:mn>0.05</mml:mn></mml:mrow></mml:math></inline-formula>)
and Russell Glacier (<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>0.72</mml:mn></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mi mathvariant="italic">&lt;</mml:mi><mml:mn>0.05</mml:mn></mml:mrow></mml:math></inline-formula>) basal ice (Fig. 1a).
No significant associations between LMW-DOC and debris concentrations
were observed (Fig. 1b, <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:mi mathvariant="italic">&lt;</mml:mi><mml:mn>0.1</mml:mn></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mi mathvariant="italic">&lt;</mml:mi><mml:mn>0.05</mml:mn></mml:mrow></mml:math></inline-formula>).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F1"><caption><p>Associations between <bold>(a)</bold> DOC and debris concentration, and <bold>(b)</bold>
LMW-DOC and debris concentration. Engabreen samples are given in black,
Finsterwalderbreen in red (FDB (dispersed banded ice) as triangles and FSB
(solid banded ice) as circles), Russell Glacier in blue, and Joyce Glacier in
green. <inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mi mathvariant="italic">&lt;</mml:mi><mml:mn>0.05</mml:mn></mml:mrow></mml:math></inline-formula> for all regression equations, only significant
correlations are shown.</p></caption>
          <?xmltex \igopts{width=199.169291pt}?><graphic xlink:href="https://bg.copernicus.org/articles/13/3833/2016/bg-13-3833-2016-f01.jpg"/>

        </fig>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T1" specific-use="star"><caption><p>Biogeochemical data for basal ice from Engabreen (E),
Finsterwalderbreen (F), Russell Glacier (R), and Joyce Glacier (J). DB
indicates dispersed banded and SB solid banded. Values given are the mean
concentrations for each analyte, and the standard deviation is given in
parentheses. LMW-DOC is free carbohydrates (FCHOs) <inline-formula><mml:math display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> free amino acids
(FAAs) <inline-formula><mml:math display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> free carboxylic acids (FCAs). Only values &gt; LOQ have
been included.</p></caption><oasis:table frame="topbot"><?xmltex \begin{scaleboxenv}{.97}[.97]?><oasis:tgroup cols="7">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="left"/>
     <oasis:colspec colnum="3" colname="col3" align="left"/>
     <oasis:colspec colnum="4" colname="col4" align="left"/>
     <oasis:colspec colnum="5" colname="col5" align="left"/>
     <oasis:colspec colnum="6" colname="col6" align="left"/>
     <oasis:colspec colnum="7" colname="col7" align="left"/>
     <oasis:thead>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1">Sample</oasis:entry>  
         <oasis:entry colname="col2">% debris (by mass)</oasis:entry>  
         <oasis:entry colname="col3">DOC  (<inline-formula><mml:math display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>M C)</oasis:entry>  
         <oasis:entry colname="col4">LMW  DOC  (nM C)</oasis:entry>  
         <oasis:entry colname="col5">FCHOs  (nM C)</oasis:entry>  
         <oasis:entry colname="col6">FAAs  (nM C)</oasis:entry>  
         <oasis:entry colname="col7">FCAs  (nM C)</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>  
         <oasis:entry colname="col1">E (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">6</mml:mn></mml:mrow></mml:math></inline-formula>)</oasis:entry>  
         <oasis:entry colname="col2">36.83 (20.96)</oasis:entry>  
         <oasis:entry colname="col3">113.56 (106.60)</oasis:entry>  
         <oasis:entry colname="col4">417.70 (213.07)</oasis:entry>  
         <oasis:entry colname="col5">0.00</oasis:entry>  
         <oasis:entry colname="col6">22.41  (24.24)</oasis:entry>  
         <oasis:entry colname="col7">442.19  (164.00)</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">FDB (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">5</mml:mn></mml:mrow></mml:math></inline-formula>)</oasis:entry>  
         <oasis:entry colname="col2">20.22 (26.74)</oasis:entry>  
         <oasis:entry colname="col3">14.85 (9.91)</oasis:entry>  
         <oasis:entry colname="col4">169.67  (183.90)</oasis:entry>  
         <oasis:entry colname="col5">0.00</oasis:entry>  
         <oasis:entry colname="col6">0.00</oasis:entry>  
         <oasis:entry colname="col7">169.67  (183.90)</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">FSB (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">5</mml:mn></mml:mrow></mml:math></inline-formula>)</oasis:entry>  
         <oasis:entry colname="col2">86.47  (6.58)</oasis:entry>  
         <oasis:entry colname="col3">33.38 (33.30)</oasis:entry>  
         <oasis:entry colname="col4">312.67 (502.64)</oasis:entry>  
         <oasis:entry colname="col5">0.00</oasis:entry>  
         <oasis:entry colname="col6">46.47  (48.99)</oasis:entry>  
         <oasis:entry colname="col7">274.91  (549.83)</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">R (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">7</mml:mn></mml:mrow></mml:math></inline-formula>)</oasis:entry>  
         <oasis:entry colname="col2">54.89 (24.51)</oasis:entry>  
         <oasis:entry colname="col3">53.31 (28.89)</oasis:entry>  
         <oasis:entry colname="col4">343.72 (689.83)</oasis:entry>  
         <oasis:entry colname="col5">0.00</oasis:entry>  
         <oasis:entry colname="col6">50.59  (62.97)</oasis:entry>  
         <oasis:entry colname="col7">365.62  (817.56)</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">J (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">5</mml:mn></mml:mrow></mml:math></inline-formula>)</oasis:entry>  
         <oasis:entry colname="col2">21.22  (6.41)</oasis:entry>  
         <oasis:entry colname="col3">272.09 (99.38)</oasis:entry>  
         <oasis:entry colname="col4">4429.83 (2625.95)</oasis:entry>  
         <oasis:entry colname="col5">28.29  (15.83)</oasis:entry>  
         <oasis:entry colname="col6">4353.30  (2643.59)</oasis:entry>  
         <oasis:entry colname="col7">0.00</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup><?xmltex \end{scaleboxenv}?></oasis:table></table-wrap>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T2" specific-use="star"><caption><p>Mean sediment characteristics. An asterisk indicates sediment OC age
from Stibal et al. (2012), method described in the online supporting
information. ND denotes not determined. E – Engabreen, F –
Finsterwalderbreen, R – Russell Glacier, J – Joyce Glacier. Standard
deviation is given in parentheses.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="7">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="left"/>
     <oasis:colspec colnum="3" colname="col3" align="left"/>
     <oasis:colspec colnum="4" colname="col4" align="left"/>
     <oasis:colspec colnum="5" colname="col5" align="left"/>
     <oasis:colspec colnum="6" colname="col6" align="left"/>
     <oasis:colspec colnum="7" colname="col7" align="left"/>
     <oasis:thead>
       <oasis:row>  
         <oasis:entry colname="col1">Sample</oasis:entry>  
         <oasis:entry colname="col2"><inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn>14</mml:mn></mml:msup></mml:math></inline-formula>C age</oasis:entry>  
         <oasis:entry colname="col3">%OC</oasis:entry>  
         <oasis:entry colname="col4">%InC</oasis:entry>  
         <oasis:entry colname="col5">Extractable <?xmltex \hack{\hfill\break}?><?xmltex \hack{\hfill\break}?></oasis:entry>  
         <oasis:entry colname="col6">Carbohydrate  <?xmltex \hack{\hfill\break}?></oasis:entry>  
         <oasis:entry colname="col7">Cell</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2">(years, BP)<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>*</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col3"/>  
         <oasis:entry colname="col4"/>  
         <oasis:entry colname="col5">carbohydrates</oasis:entry>  
         <oasis:entry colname="col6">fraction</oasis:entry>  
         <oasis:entry colname="col7">abundance</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">(<inline-formula><mml:math display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>g g<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>)</oasis:entry>  
         <oasis:entry colname="col6">(% of OC)<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∗</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col7">(cell g<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>  
         <oasis:entry colname="col1">E (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">5</mml:mn></mml:mrow></mml:math></inline-formula>)</oasis:entry>  
         <oasis:entry colname="col2">ND</oasis:entry>  
         <oasis:entry colname="col3">0.19 (0.08)</oasis:entry>  
         <oasis:entry colname="col4">0.24 (0.18)</oasis:entry>  
         <oasis:entry colname="col5">3.26</oasis:entry>  
         <oasis:entry colname="col6">0.17</oasis:entry>  
         <oasis:entry colname="col7"><inline-formula><mml:math display="inline"><mml:mrow><mml:mn>6.80</mml:mn><mml:mo>×</mml:mo><mml:mn>10</mml:mn></mml:mrow></mml:math></inline-formula><inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">5</mml:mn></mml:msup></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">F (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">5</mml:mn></mml:mrow></mml:math></inline-formula>)</oasis:entry>  
         <oasis:entry colname="col2">3750 (150)</oasis:entry>  
         <oasis:entry colname="col3">0.57 (0.12)</oasis:entry>  
         <oasis:entry colname="col4">1.80 (0.25)</oasis:entry>  
         <oasis:entry colname="col5">2.34</oasis:entry>  
         <oasis:entry colname="col6">0.04</oasis:entry>  
         <oasis:entry colname="col7"><inline-formula><mml:math display="inline"><mml:mrow><mml:mn>1.68</mml:mn><mml:mo>×</mml:mo><mml:mn>10</mml:mn></mml:mrow></mml:math></inline-formula><inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">5</mml:mn></mml:msup></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">R (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">5</mml:mn></mml:mrow></mml:math></inline-formula>)</oasis:entry>  
         <oasis:entry colname="col2">1830 (50)</oasis:entry>  
         <oasis:entry colname="col3">0.44 (0.09)</oasis:entry>  
         <oasis:entry colname="col4">0.01 (0.00)</oasis:entry>  
         <oasis:entry colname="col5">20.83 <?xmltex \hack{\hfill\break}?></oasis:entry>  
         <oasis:entry colname="col6">0.47</oasis:entry>  
         <oasis:entry colname="col7"><inline-formula><mml:math display="inline"><mml:mrow><mml:mn>2.26</mml:mn><mml:mo>×</mml:mo><mml:mn>10</mml:mn></mml:mrow></mml:math></inline-formula><inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">5</mml:mn></mml:msup></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">J (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">5</mml:mn></mml:mrow></mml:math></inline-formula>)</oasis:entry>  
         <oasis:entry colname="col2">ND</oasis:entry>  
         <oasis:entry colname="col3">0.01 (0.02)</oasis:entry>  
         <oasis:entry colname="col4">0.28 (0.05)</oasis:entry>  
         <oasis:entry colname="col5">23.95</oasis:entry>  
         <oasis:entry colname="col6">17.11</oasis:entry>  
         <oasis:entry colname="col7"><inline-formula><mml:math display="inline"><mml:mrow><mml:mn>1.16</mml:mn><mml:mo>×</mml:mo><mml:mn>10</mml:mn></mml:mrow></mml:math></inline-formula><inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">5</mml:mn></mml:msup></mml:math></inline-formula></oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

      <p>The sediment OC content was low (&lt; 0.6 %) in all basal ice samples
(Table 2). Minor fractions of extractable carbohydrate (&lt; 0.5 % of
the sediment OC) were measured in Engabreen, Russell Glacier, and
Finsterwalderbreen sediments. A higher carbohydrate fraction (17 % of the
sediment OC) was measured at Joyce Glacier (Table 2). We use this as a proxy
for lability (Biersmith and Benner, 1998; Pusceddu et al., 2009) and thus
make the assumption that Joyce Glacier sediment is bioavailable. Microbial
cell abundance was comparable in all samples (1–<inline-formula><mml:math display="inline"><mml:mrow><mml:mn mathvariant="normal">7</mml:mn><mml:mo>×</mml:mo><mml:mn>10</mml:mn></mml:mrow></mml:math></inline-formula><inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">5</mml:mn></mml:msup></mml:math></inline-formula> cells g<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>, Table 2).</p>
</sec>
<sec id="Ch1.S4.SS2">
  <title>Subglacial DOC quantity and complexity</title>
      <p>DOC abundance and composition varied between the four glaciers. The highest
mean DOC concentrations were observed in basal ice from Joyce Glacier (<inline-formula><mml:math display="inline"><mml:mrow><mml:mn>272</mml:mn><mml:mo>±</mml:mo><mml:mn>99</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>M C), and Engabreen (<inline-formula><mml:math display="inline"><mml:mrow><mml:mn>114</mml:mn><mml:mo>±</mml:mo><mml:mn>106</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>M C), with
lower concentrations in Russell Glacier basal ice (<inline-formula><mml:math display="inline"><mml:mrow><mml:mn>53</mml:mn><mml:mo>±</mml:mo><mml:mn>29</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>M C), FDB (<inline-formula><mml:math display="inline"><mml:mrow><mml:mn>15</mml:mn><mml:mo>±</mml:mo><mml:mn>10</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>M C) and FSB (<inline-formula><mml:math display="inline"><mml:mrow><mml:mn>33</mml:mn><mml:mo>±</mml:mo><mml:mn>33</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>M C)
(Table 1). The relatively large standard deviations show that subglacial DOC
concentrations are highly variable, even in basal ice from the same glacier.
Between five and seven replicate samples were taken from each of the
<inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 15 cm<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> chunks cut out of the main ice blocks from each
glacier (detailed in Sect. 3.1). The variability in the DOC concentrations
suggests that there is significant spatial heterogeneity even at the level
of the <inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 15 cm<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> basal ice chunks analysed from each
glacier.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F2"><caption><p>Mean normalized synchronous fluorescence spectra for basal ice
samples. E – Engabreen, F – Finsterwalderbreen, R – Russell Glacier, J
– Joyce Glacier, DB – dispersed banded, SB – solid banded.</p></caption>
          <?xmltex \igopts{width=199.169291pt}?><graphic xlink:href="https://bg.copernicus.org/articles/13/3833/2016/bg-13-3833-2016-f02.jpg"/>

        </fig>

      <p>The composition of the subglacial DOC was investigated by
spectrofluorescence and ion chromatography. The synchronous fluorescence
spectra of all basal ice samples illustrated the dominance of three key
fluorophores of a marine humic-like/fulvic acid type, at ca. 340, 385, and
440 nm (excitation wavelengths, Fig. 2, Table 3), and several unresolved
fluorophores at longer excitation wavelengths. Protein-like peaks
(<inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 279 nm excitation wavelength), indicative of tyrosine-like
compounds (Ferrari and Mingazzini, 1995; Yamashita and Tanoue, 2003),
were only evident in Joyce Glacier and FSB basal ice (Table 3). Ion
chromatographic analyses provided a greater level of detail on the molecular
composition of the DOC. LMW-DOC compounds, with concentrations &gt; LOQ, accounted for &lt; 3 % of the DOC in all basal ice samples. Mean
LMW-DOC concentrations in Engabreen, Finsterwalderbreen, and Russell Glacier
basal ice were &lt; 420 nM C (Table 1). Mean LMW-DOC concentrations
were an order of magnitude higher (4430 nM C) in Joyce Glacier basal ice. As
with DOC concentrations, the variability in the LMW-DOC compound
concentrations suggests high spatial heterogeneity within the basal ice.</p>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T3" specific-use="star"><caption><p>Summary of the dominant fluorophores in basal ice from four
contrasting glacial environments. The dominant fluorophores (denoted by an asterisk)
have been identified according to previous characterization of spectral
compounds (see Barker et al., 2009, and references therein). DB – dispersed
banded, SB – solid banded.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="4">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="left"/>
     <oasis:colspec colnum="3" colname="col3" align="left"/>
     <oasis:colspec colnum="4" colname="col4" align="left"/>
     <oasis:thead>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1">Sample</oasis:entry>  
         <oasis:entry colname="col2">Fluorophore <?xmltex \hack{\hfill\break}?>(peak excitation <?xmltex \hack{\hfill\break}?>wavelength, nm)</oasis:entry>  
         <oasis:entry colname="col3">Dominant fluorophore identification</oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula></oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>  
         <oasis:entry colname="col1">Engabreen</oasis:entry>  
         <oasis:entry colname="col2">342, 386*, 440, 483</oasis:entry>  
         <oasis:entry colname="col3">Fulvic acid, marine humic-like</oasis:entry>  
         <oasis:entry colname="col4">6</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Finsterwalderbreen DB</oasis:entry>  
         <oasis:entry colname="col2">342, 389*, 440</oasis:entry>  
         <oasis:entry colname="col3">Fulvic acid, marine humic-like</oasis:entry>  
         <oasis:entry colname="col4">5</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Finsterwalderbreen SB</oasis:entry>  
         <oasis:entry colname="col2">276, 336, 389*, 440</oasis:entry>  
         <oasis:entry colname="col3">Fulvic acid, marine humic-like</oasis:entry>  
         <oasis:entry colname="col4">5</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Russell Glacier</oasis:entry>  
         <oasis:entry colname="col2">335*, 385, 440, 483</oasis:entry>  
         <oasis:entry colname="col3">Protein-like/marine humic-like</oasis:entry>  
         <oasis:entry colname="col4">7</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Joyce Glacier</oasis:entry>  
         <oasis:entry colname="col2">279, 342, 386*, 440, 460, 551</oasis:entry>  
         <oasis:entry colname="col3">Fulvic acid, marine humic-like</oasis:entry>  
         <oasis:entry colname="col4">5</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

      <p>LMW-DOC was typically dominated by FCAs (Table 1), except in Joyce Glacier
samples, which are subsequently discussed. Overall, acetate was the most
common analyte (Fig. 3), being present in 60 % of the samples that
contained FCAs at concentrations &gt; LOQ. Basal ice FCHO
concentrations were typically &lt; LOQ (&lt; 4 % of the LMW-DOC,
Table 1) and only detected in Joyce Glacier samples, comprising glucose (16–49 nM C) and ribose (16–19 nM C, data not shown). Joyce Glacier basal
ice DOC was unique in that most (98 %) of the LMW-DOC was derived from the
extremely diverse FAA pool (Fig. 4). Mean FAA concentration in Joyce
Glacier basal ice (<inline-formula><mml:math display="inline"><mml:mrow><mml:mn>4353</mml:mn><mml:mo>±</mml:mo><mml:mn>2643</mml:mn></mml:mrow></mml:math></inline-formula> nM C) was an order of magnitude higher
than mean FAA concentrations in Engabreen, Finsterwalderbreen, and Russell
Glacier basal ice (0–51 nM C, Table 1). Some 14 FAAs were detected in
Joyce Glacier basal ice, including methionine, glutamic acid, aspartic acid
and cysteine, which were not observed in the other basal ice samples.
Serine/proline, alanine, and valine dominated the Joyce Glacier FAA pool.
FAAs accounted for 59 % of the LMW-DOC in Russell Glacier basal and FSB
ice, primarily in the form of alanine and valine, respectively.</p>
</sec>
</sec>
<sec id="Ch1.S5">
  <title>Discussion</title>
      <p>The application of a novel methodological approach (within the field of
glacial science) using ion chromatography has allowed the identification and
quantification of a range of LMW-DOC compounds in debris-rich basal ice,
including FCAs, FCHOs, and FAAs, at unprecedented low concentrations
(&lt; 70 nM C). This represents, to our knowledge, the first study to
quantify LMW-DOC in basal ice from a range of glaciers and ice sheets. We
demonstrate that ion chromatographic systems that have been optimized for
the detection of trace-level LMW-DOC concentrations (e.g. by using multiple
eluents, low flow rates, and gradient elution) can be utilized as an
additional quantitative technique to supplement characterizations of glacial
LMW-DOC by ESI FT-ICR MS (Grannas et al., 2006; Bhatia et al., 2010;
Lawson et al., 2014a) and solution-state <inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">1</mml:mn></mml:msup></mml:math></inline-formula>H NMR spectroscopy
(Pautler et al., 2011, 2012).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F3"><caption><p>FCA compositions in basal ice samples. E – Engabreen, F –
Finsterwalderbreen, R – Russell Glacier, DB – dispersed banded, SB –
solid banded. Samples with zero concentrations have been excluded from the
plot, and only values &gt; LOQ have been included.</p></caption>
        <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://bg.copernicus.org/articles/13/3833/2016/bg-13-3833-2016-f03.jpg"/>

      </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F4"><caption><p>FAA composition in basal ice samples from <bold>(a)</bold> Engabreen (E),
Finsterwalderbreen (F), Russell Glacier (R), and Joyce Glacier (J), <bold>(b)</bold> FAAs
in Joyce Glacier basal ice, plotted separately due to an order of magnitude
increase in concentrations. Samples with zero concentrations have been
excluded from the plot, and only values &gt; LOQ have been included.
S/P – serine and proline, reported together due to co-elution. SB –
solid banded.</p></caption>
        <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://bg.copernicus.org/articles/13/3833/2016/bg-13-3833-2016-f04.jpg"/>

      </fig>

<sec id="Ch1.S5.SS1">
  <title>The influence of debris type on sediment OC and basal ice DOC
concentrations</title>
      <p>We find little evidence that the type of overridden material (i.e. the
pre-entrainment sedimentary type such as lacustrine material or palaeosols)
and the mean sediment OC content has a significant influence on the DOC
content in basal ice. Indeed, the mean basal ice DOC concentrations (Table 1) and mean sediment OC content (Table 2) were relatively similar in all
basal ice samples despite the differences in the types of overridden
material. Furthermore, the fact that the highest mean DOC concentration was
observed in Joyce Glacier basal ice (272 <inline-formula><mml:math display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>M C) yet the corresponding
sediment OC % was the lowest (0.01 %) of all four sites demonstrates the
lack of a relationship between sediment OC % and basal ice DOC. This may
be due to the particular section of basal sediment that was sampled as, in
the case of Joyce Glacier, higher OC content has previously been observed in
other Antarctic lacustrine samples, such as subglacial sediment beneath
Lower Wright Glacier (0.7 % OC) (Stibal et al., 2012), and Antarctic Dry
Valley lacustrine sediments containing microbial mats (<inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 9 %
OC) (Squyres et al., 1991). This suggests a more diverse basal
sediment matrix comprising algal mats and organic lacustrine material that
mixed with sand and/or other low-OC, mineral-based material during basal ice
formation beneath Joyce Glacier. However, we acknowledge that some of the
difference in sediment OC (and extractable carbohydrate concentrations) may
be due to the different analytical methods employed in this and previous
studies. The concentrations that we present may also be conservative as our
methodological approach meant that fine-sediment fractions, which may be
OC-rich, remained in suspension and were not included in the OC
determinations.</p>
      <p>Key differences were, however, observed in the proportions of extractable
carbohydrates (a proxy for bioavailable compounds in the basal sediment) and
LMW-DOC concentrations in basal ice from the four sites. The LMW-DOC
concentrations in Joyce Glacier basal ice, which were an order of magnitude
higher than LMW-DOC concentrations in samples from the other three sites and
predominantly due to high FAA concentrations, may have derived from the
relatively large pool of potentially bioreactive extractable carbohydrates
in Joyce Glacier basal sediment (17 % of the sediment OC, compared with
&lt; 0.5 % of the sediment OC in samples from Russell Glacier,
Engabreen, and Finsterwalderbreen). The bioreactive OC pool in Joyce Glacier
basal sediment may have been enhanced by the assimilation of proglacial
algal mats into overridden material during glacial advance, which likely
enriched the basal ice with lacustrine material and associated algal
necromass (Pautler et al., 2012), which may include autochthonous material
produced by microorganisms prior to basal ice formation. Indeed, lacustrine
material is generally acknowledged as a source of reactive OC to
microorganisms (Meyers and Ishiwatari, 1993). The lower extractable
carbohydrate concentrations in basal sediment from Russell Glacier,
Engabreen, and Finsterwalderbreen (compared with Joyce Glacier) are thought
to reflect the more refractory nature of the overridden material. OC in
subglacial material beneath this sampled section of Russell Glacier is
thought to derive from a soil origin, based on relatively high
concentrations of <inline-formula><mml:math display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>-alkanoic acids, steroids, and other soil-derived
functional compounds that have been identified in basal ice samples (Stibal
et al., 2012). Due to this, and the relatively young age of Russell Glacier
sediment OC (&lt; 1900 <inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn>14</mml:mn></mml:msup></mml:math></inline-formula>C yr BP), we expected the total and
bioreactive OC concentrations to be higher than 0.44 and 0.47 % of the
OC, respectively. For instance, OC content in Greenland soils range from 0.1 to 44.8 %
in C horizons and peat soils (Horwath Burnham and Slettern,
2010). The low OC and extractable carbohydrate concentrations in Russell
Glacier basal ice may reflect a heterogeneous sediment matrix that
incorporates a lower proportion of palaeosols mixed with other low-OC,
mineral-based material. However, as discussed earlier, these differences in
sediment OC concentrations may be due to the conservative nature of our
methodological approach that may have excluded the potentially OC-rich fine-sediment fractions. The low extractable carbohydrate concentration (0.04 %
of the OC) in Finsterwalderbreen basal sediment is likely influenced by the
predominance of OC from kerogen in the overridden shale bedrock (Wadham et
al., 2004) that has been incorporated into the basal ice matrix. Kerogen is
ancient carbon comprising stable carbon macromolecules
and has limited bioreactivity. Similarly, low bioreactive OC in Engabreen
basal sediment (0.17 % of the OC comprised extractable carbohydrates) is
influenced by the subglacial substrate comprising overridden continental
shield rock depleted in reactive OC, the limited opportunity for material
from supraglacial environments to be in-washed, and the limited input of
overridden palaeosols (Stibal et al., 2012). A lack of organic biomarkers
(derived from algal and higher plant inputs) in Engabreen basal ice further
suggests that incorporation of organic material is probably limited (Stibal
et al., 2012). Alternatively, the lack of organic biomarkers may be due to
debris entrainment by regelation rather than a freeze-on (adfreezing).</p>
      <p>In summary, our data suggest that where glaciers and ice sheets override
lacustrine sediments, there is an injection of particulate and dissolved
bioavailable compounds into the basal ice at the glacier bed, which is less
evident where the glacier overrode palaeosols or bedrock. This has
implications for subglacial LMW-DOC cycling as this abiotic input of LMW-DOC
(via leaching) has the potential to stimulate microbial activity in wet
sediments in the subglacial environment. We go on to investigate the DOC and
LMW-DOC signatures in basal ice from these contrasting subglacial
environments.</p>
</sec>
<sec id="Ch1.S5.SS2">
  <title>Basal ice LMW-DOC signatures and provenance</title>
      <p>The presence of LMW-DOC compounds and the similarities in the types of
compounds detected in basal ice samples from the four sites may reflect
common sources and pathways of transformation of DOC in subglacial
environments beneath glaciers and ice sheets. The potential for interactions
between basal sediment and subglacial ice melt suggests that inputs from the
overridden subglacial material may represent a key contribution to basal ice
DOC. The chemical composition of basal ice, including DOC compounds, should
reflect characteristics of the parent water prior to being frozen (Knight,
1997), where this water might be either flowing at the base of the glacier,
held in porewaters in overridden water-saturated sediment, or refrozen water
from pressure melting during the regelation process. These water sources
have extensive contact with the subglacial material and so have the
potential to acquire dissolved compounds via biogeochemical interactions.
However, these processes are highly site specific. Where there are
well-developed quick-flow components and scoured bedrock channels, for
instance, there will be less scope for fast-flowing waters to acquire
dissolved compounds from biogeochemical interactions with the overridden
material. DOC and LMW-DOC components in basal ice may also be acquired by in
situ abiotic processes, e.g. by reactions, such as dissolution, in water
films around debris and in liquid water veins (Mader et al., 2006). It is
likely that certain organic compounds will remain associated with the debris
and others will dissociate to become DOC. To fully assess whether DOC is
largely terrestrially derived and leached from sediments, we would need data
on the surface area of the debris and information on particle size
distribution. As this was beyond the scope of this study we instead used
debris concentrations for a preliminary investigation. We find that for
sites where there is a bioavailable OC source in sediments (Joyce Glacier)
there is a significant relationship between DOC and debris concentration
(Fig. 1a). This suggests that subglacial meltwater contact with subglacial
sediment beneath Joyce Glacier, which is cold-based and so has little
supraglacial meltwater penetration to the glacier bed, is a major control on
DOC acquisition. We find several additional lines of evidence to support the
leaching of DOC from subglacial sediments, including the presence of fulvic
acids that have previously been associated with terrestrial material
(&gt; 440 nm fluorescence wavelengths) in all basal ice samples
(McKnight et al., 2001). The basal ice LMW-DOC compounds may also be a
leached relic of the overridden material that has been preserved in the ice
when frozen. However, the lack of significant association between LMW-DOC
and debris concentration (Fig. 1b) is reflective of additional sources and
sinks of these compounds in the basal ice layer and/or in the parent water
body from which basal ice formed. The LMW-DOC signature in basal ice may
also be influenced by in situ microbial production and consumption, as
illustrated in earlier work that has proposed a range of microbial processes
to be active in the subglacial environment, including in situ
chemoautotrophic production (Bhatia et al., 2006, 2013),
chemoheterotrophic oxidation of OC substrates to protein-like LMW-DOC
compounds (Bhatia et al., 2010), and release of LMW-DOC from decaying cells.
It is probable that subglacial microbial activity cycles LMW-DOC both before
and after the formation of basal ice. For instance, microorganisms in
subglacial sediment porewaters and basal meltwater flowing at the
rock–water interface may actively utilize OC substrates and energy sources
derived from the overridden material. Via this activity, they may also go on
to produce simple LMW-DOC compounds, which may subsequently be incorporated
into basal ice. The protein-like peaks that were observed in the
spectrofluorescence spectra in Joyce Glacier and FSB ice (Table 3)
tentatively suggest that some of the LMW-DOC is of a microbial provenance.
Protein-like fluorescence is linked with recent biological activity (De
Souza Sierra et al., 1994) and is associated with active FAA production
during microbial metabolism (Yamashita and Tanoue, 2003). The finding
that FSB samples contained larger protein-like peaks and had higher mean FCA
and FAA concentrations when compared with FDB samples may be explained by
the different basal ice formation processes at Finsterwalderbreen. FSB
debris, sampled from surface outcrops of frozen subglacial material, or
thrust bands, is expected to derive from further upglacier than FDB debris
and likely formed during the most recent surge ca. 1898–1920 (Liestøl, 1969).
This suggests that FSB debris may have been glacier-covered for a much
longer period than FDB debris. These conditions may have led to enhanced
leaching of LMW-DOC from the subglacial material and/or greater production
(vs. consumption) of LMW-DOC by in situ microorganisms. It is also possible
that LMW-DOC in basal ice from the polythermal and warm-based glaciers
sampled in this study (Finsterwalderbreen, Russell Glacier, and Engabreen)
could derive from supraglacial inputs as glacially overridden material is
not the sole source of DOC in basal ice.</p>
      <p>In this study, we were not able to categorically separate LMW-DOC derived
from biotic and abiotic processes as, at a molecular level, many LMW-DOC
compounds are non-specific biomarkers due to their pervasive occurrence in
plants and microorganisms (Biersmith and Benner, 1998). For example,
valine, a common FAA in most basal ice samples, can be synthesized in plants
via several steps starting from pyruvic acid (e.g. described in Singh,
1999). Valine can also be microbially synthesized from pyruvate (Blombach et
al., 2007) and produced by aerobic Gram-positive microbes (Valle et al.,
2008). Similarly, glucose can be produced by photosynthesis (Kirchman et
al., 2001) and chemoautotrophic bacterial activity (Jansen et al., 1982).
The key point is that the presence of numerous LMW-DOC compounds in basal
ice from all four glacial sites provides evidence that viable substrates for
microbial growth, whether derived from a terrestrial or microbial source,
are available in subglacial environments. These LMW-DOC compounds may help
support microbial communities within the present-day basal ice, e.g. beneath
Russell Glacier, where recent work has shown that the basal ice may be
microbially active in the current frozen state (Yde et al., 2010). The
microbial cell counts observed in all basal ice samples in this study
(10<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">5</mml:mn></mml:msup></mml:math></inline-formula> cells g<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>, Table 2) are comparable to microbial populations
(10<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">5</mml:mn></mml:msup></mml:math></inline-formula>–10<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">8</mml:mn></mml:msup></mml:math></inline-formula> cells g<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> reported in other subglacial
sediments that have been proven to be microbially active (Sharp et al.,
1999; Foght et al., 2004; Kastovska et al., 2007; Yde et al., 2010; Montross
et al., 2012).</p>
</sec>
<sec id="Ch1.S5.SS3">
  <title>Implications for LMW-DOC cycling beneath glaciers with bioreactive
subglacial sediment</title>
      <p>The margin of Joyce Glacier rests upon ancient lake sediments and, hence,
represents a case where a very labile organic matter source is overridden.
This situation may have been common in past periods of glaciation, when, for
example, the Pleistocene ice sheets advanced over regions with a high
density of lakes, such as in northern Canada and Scandinavia (Wadham et al.,
2008). Hence, the potential for LMW-DOC incorporation in Joyce Glacier basal
ice and sediment may be applicable to these other types of lacustrine-based
subglacial ecosystems. In addition, the abundance of LMW-DOC in Joyce
Glacier suggests that overridden lacustrine material can be sequestered even
if the glacier is cold-based. Contrary to traditional assumptions that
drainage in cold-based glaciers is entirely supraglacial, it is possible
that discrete subglacial channels exist where water is in contact with the
substrate, e.g. at Longyearbreen (Yde et al., 2008). This mechanism may
enable the release of DOC to downstream ecosystems. If the glacier were
warm-based, then the DOC could be flushed out during the summer melt seasons
and contribute to the net export of bioavailable DOC to downstream
environments. DOC in glacial runoff may derive from multiple sources:
terrestrial DOC derived from overridden material at the bed (Hood et al.,
2009), anthropogenic aerosol deposition on the glacier surface (Stubbins et
al., 2012), and biological activity in both supraglacial (Anesio et al.,
2009) and subglacial (Bhatia et al., 2013) environments. The contribution
from basal ice may be more significant in cold-based glacier systems, e.g.
in the Antarctic Dry Valleys, where daily radiation melting of the steep ice
cliffs may release solute from the debris-rich basal ice that is exposed on
the cliffs. The distributed drainage system beneath temperate and
polythermal glaciers may also include a constant source of water from basal
ice melt and groundwater in contact with glacial till (Paterson, 1999).</p>
      <p>The dramatic difference in the DOC composition beneath glaciers resting on
different OC substrates that our data have highlighted may have implications
for the rate and degree to which this overridden OC can be cycled to
biogenic gases in current subglacial environments, which in turn has
relevance for the global carbon cycle (Wadham et al., 2008; Stibal et al.,
2012). While the DOC and LMW-DOC signatures of basal ice may arise from
several confounding factors which are difficult to disentangle, identifying
the abundance and composition of DOC in basal ice is an important first step
to understanding LMW-DOC cycling in subglacial environments.</p>
</sec>
</sec>
<sec id="Ch1.S6" sec-type="conclusions">
  <title>Conclusions</title>
      <p>We employ a combined spectrofluorometric and ion chromatographic
methodological approach to produce the first identification and
quantification, at trace-level concentrations, of major LMW-DOC fractions
(free amino acids, carbohydrates, and carboxylic acids) in debris-rich basal
ice. We demonstrate that ion chromatographic systems that are optimized for
trace-level LMW-DOC analyte detection can supplement traditional methods of
LMW-DOC characterization as a quantitative technique. Our work adds to the
growing body of research addressing sources and reactivity of DOC in
subglacial ecosystems and provides a characterization of LMW-DOC in basal
ice from four different glacial environments with distinctive basal debris
types including lacustrine material (Joyce Glacier), overridden soils and
tundra (Russell Glacier), kerogen in bedrock (Finsterwalderbreen), and
bedrock/soils (Engabreen). We infer that terrestrial inputs from the
overridden subglacial material represent a key contribution to basal ice
DOC. Our data show that LMW-DOC concentrations in basal ice are dependent on
the bioavailability of the overridden OC, which in turn is influenced by
the type of overridden material. We find that where glaciers and ice sheets
override lakes, such as at Joyce Glacier, there is an injection of
particulate and dissolved bioavailable compounds into the basal ice at the
glacier bed, which is less evident where glaciers overrode palaeosols or
bedrock. There is also potential for the overridden substrate to act as an
indirect (via microbial cycling) source of DOC, as the leached LMW-DOC
compounds may stimulate microbial activity in wet sediments in the
subglacial environment. This has implications for the cycling of overridden
OC to biogenic gases in subglacial environments and concurs with recent
findings that accelerated melting of glaciers and ice sheets could
constitute a significant source of DOC and other, potentially bioavailable
dissolved organic matter, to glacially fed ecosystems. The abundance of
LMW-DOC in Joyce Glacier basal ice suggests that overridden material may be
sequestered even if the glacier is cold-based. Identifying the abundance and
composition of DOC in basal ice is an important first step to understanding LMW-DOC cycling in subglacial environments, which has relevance for local
carbon cycling and wider ecosystem processes.</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-13-3833-2016-supplement" xlink:title="pdf">doi:10.5194/bg-13-3833-2016-supplement</inline-supplementary-material>.</bold></p></supplementary-material>
        </app-group><notes notes-type="authorcontribution">

      <p>Jemma L. Wadham and Martyn Tranter conceived the project. Emily C. O'Donnell, Jemma L. Wadham, Grzegorz P. Lis, Marek Stibal, and Sean Fitzsimons collected field
data. Emily C. O'Donnell, Grzegorz P. Lis, Amy E. Pickard, and Marek Stibal undertook the lab analysis. Paul Dewsbury, Grzegorz P. Lis, and Emily C. O'Donnell
assisted with the Dionex<sup>™</sup> ICS-3000 ion chromatography system
optimization and method development. Emily C. O'Donnell, Jemma L. Wadham, and Martyn Tranter wrote the paper with
additional comments from the co-authors.</p>
  </notes><ack><title>Acknowledgements</title><p>This research was funded by the Natural Environment Research Council (UK –
NERC grant NE/E004016/1), a NERC CASE studentship to Emily C. O'Donnell (neé
Lawson) (NERC DTG/GEOG SN1316.6525), co-sponsored by Dionex Corporation (now
part of Thermo Fisher Scientific). Support to Jemma L. Wadham was also provided
by the Leverhulme Trust via a Philip Leverhulme Prize and a Leverhulme
Trust Research Fellowship. We thank Jon Telling for laboratory assistance
and are grateful to everyone who helped with basal ice sample collection.<?xmltex \hack{\newline}?><?xmltex \hack{\newline}?>
Edited by: X. Wang</p></ack><ref-list>
    <title>References</title>

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    <!--<article-title-html>Identification and analysis of low-molecular-weight dissolved organic carbon
in subglacial basal ice ecosystems by ion chromatography</article-title-html>
<abstract-html><p class="p">Determining the concentration and composition of dissolved organic carbon
(DOC) in glacial ecosystems is important for assessments of in situ
microbial activity and contributions to wider biogeochemical cycles.
Nonetheless, there is limited knowledge of the abundance and character of
DOC in basal ice and the subglacial environment and a lack of quantitative
data on low-molecular-weight (LMW) DOC components, which are believed to be
highly bioavailable to microorganisms. We investigated the abundance and
composition of DOC in basal ice via a molecular-level DOC analysis.
Spectrofluorometry and a novel ion chromatographic method, which has been
little utilized in glacial science for LMW-DOC determinations, were employed
to identify and quantify the major LMW fractions (free amino acids,
carbohydrates, and carboxylic acids) in basal ice from four glaciers, each
with a different type of overridden material (i.e. the pre-entrainment
sedimentary type such as lacustrine material or palaeosols). Basal ice from
Joyce Glacier (Antarctica) was unique in that 98 % of the LMW-DOC was
derived from the extremely diverse free amino acid (FAA) pool, comprising
14 FAAs. LMW-DOC concentrations in basal ice were dependent on the
bioavailability of the overridden organic carbon (OC), which in turn was
influenced by the type of overridden material. Mean LMW-DOC concentrations
in basal ice from Russell Glacier (Greenland), Finsterwalderbreen (Svalbard),
and Engabreen (Norway) were low (0–417 nM C), attributed to the relatively
refractory nature of the OC in the overridden palaeosols and bedrock. In
contrast, mean LMW-DOC concentrations were an order of magnitude higher
(4430 nM C) in basal ice from Joyce Glacier, a reflection of the high
bioavailability of the overridden lacustrine material (&gt; 17 %
of the sediment OC comprised extractable carbohydrates, a proxy for
bioavailable OC). We find that the overridden material may act as a direct
(via abiotic leaching) and indirect (via microbial cycling) source of DOC to
the subglacial environment and provides a range of LMW-DOC compounds that
may stimulate microbial activity in wet subglacial sediments.</p></abstract-html>
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