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  <front>
    <journal-meta><journal-id journal-id-type="publisher">CP</journal-id><journal-title-group>
    <journal-title>Climate of the Past</journal-title>
    <abbrev-journal-title abbrev-type="publisher">CP</abbrev-journal-title><abbrev-journal-title abbrev-type="nlm-ta">Clim. Past</abbrev-journal-title>
  </journal-title-group><issn pub-type="epub">1814-9332</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/cp-14-397-2018</article-id><title-group><article-title>Land–sea coupling of early Pleistocene glacial cycles <?xmltex \hack{\break}?> in the southern North
Sea exhibit dominant<?xmltex \hack{\break}?> Northern Hemisphere forcing</article-title><alt-title>Land–sea coupling of early Pleistocene glacial cycles</alt-title>
      </title-group><?xmltex \runningtitle{Land--sea coupling of early Pleistocene glacial cycles}?><?xmltex \runningauthor{T.~H.~Donders et al.}?>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes" rid="aff1 aff2">
          <name><surname>Donders</surname><given-names>Timme H.</given-names></name>
          <email>t.h.donders@uu.nl</email>
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff3">
          <name><surname>van Helmond</surname><given-names>Niels A. G. M.</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2">
          <name><surname>Verreussel</surname><given-names>Roel</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff4">
          <name><surname>Munsterman</surname><given-names>Dirk</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff4">
          <name><surname>ten Veen</surname><given-names>Johan</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff5">
          <name><surname>Speijer</surname><given-names>Robert P.</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-5873-7203</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff3 aff8">
          <name><surname>Weijers</surname><given-names>Johan W. H.</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff3">
          <name><surname>Sangiorgi</surname><given-names>Francesca</given-names></name>
          
        <ext-link>https://orcid.org/0000-0003-4233-6154</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff3">
          <name><surname>Peterse</surname><given-names>Francien</given-names></name>
          
        <ext-link>https://orcid.org/0000-0001-8781-2826</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff3 aff6">
          <name><surname>Reichart</surname><given-names>Gert-Jan</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff3 aff6">
          <name><surname>Sinninghe Damsté</surname><given-names>Jaap S.</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-8683-1854</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff3">
          <name><surname>Lourens</surname><given-names>Lucas</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff7">
          <name><surname>Kuhlmann</surname><given-names>Gesa</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff3 aff6">
          <name><surname>Brinkhuis</surname><given-names>Henk</given-names></name>
          
        <ext-link>https://orcid.org/0000-0003-0253-6610</ext-link></contrib>
        <aff id="aff1"><label>1</label><institution>Department of Physical Geography, Faculty of Geosciences, Utrecht
University, Heidelberglaan 2, <?xmltex \hack{\break}?> 3584 CD, Utrecht, the Netherlands</institution>
        </aff>
        <aff id="aff2"><label>2</label><institution>TNO – Applied Geosciences, Netherlands Organisation of Applied
Scientific Research Princetonlaan 6, <?xmltex \hack{\break}?>3584 CB, Utrecht, the Netherlands</institution>
        </aff>
        <aff id="aff3"><label>3</label><institution>Department of Earth Sciences, Faculty of Geosciences, Utrecht
University, Heidelberglaan 2, <?xmltex \hack{\break}?>3584 CS, Utrecht, the Netherlands</institution>
        </aff>
        <aff id="aff4"><label>4</label><institution>TNO – Geological Survey of the Netherlands, Netherlands Organisation
of Applied Scientific Research,<?xmltex \hack{\break}?> Princetonlaan 6, 3584 CB, Utrecht, the
Netherlands</institution>
        </aff>
        <aff id="aff5"><label>5</label><institution>Department of Earth and Environmental Sciences, KU Leuven, 3001
Heverlee, Belgium</institution>
        </aff>
        <aff id="aff6"><label>6</label><institution>NIOZ Royal Netherlands Institute for Sea Research, 1790
AB, Den Burg, Texel, the Netherlands</institution>
        </aff>
        <aff id="aff7"><label>7</label><institution>BGR – Federal Institute for Geosciences and Natural Resources,
Geozentrum Hannover, Stilleweg 2,<?xmltex \hack{\break}?> 30655 Hanover, Germany</institution>
        </aff>
        <aff id="aff8"><label>a</label><institution>now at: Shell Global Solutions International B.V., Grasweg 31, 1031
HW, Amsterdam, the Netherlands</institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">Timme H. Donders (t.h.donders@uu.nl)</corresp></author-notes><pub-date><day>23</day><month>March</month><year>2018</year></pub-date>
      
      <volume>14</volume>
      <issue>3</issue>
      <fpage>397</fpage><lpage>411</lpage>
      <history>
        <date date-type="received"><day>7</day><month>September</month><year>2017</year></date>
           <date date-type="rev-request"><day>20</day><month>September</month><year>2017</year></date>
           <date date-type="rev-recd"><day>25</day><month>January</month><year>2018</year></date>
           <date date-type="accepted"><day>14</day><month>February</month><year>2018</year></date>
      </history>
      <permissions>
        <copyright-statement>Copyright: © 2018 Timme H. Donders et al.</copyright-statement>
        <copyright-year>2018</copyright-year>
      <license license-type="open-access"><license-p>This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link></license-p></license></permissions><self-uri xlink:href="https://cp.copernicus.org/articles/14/397/2018/cp-14-397-2018.html">This article is available from https://cp.copernicus.org/articles/14/397/2018/cp-14-397-2018.html</self-uri><self-uri xlink:href="https://cp.copernicus.org/articles/14/397/2018/cp-14-397-2018.pdf">The full text article is available as a PDF file from https://cp.copernicus.org/articles/14/397/2018/cp-14-397-2018.pdf</self-uri>
      <abstract><title>Abstract</title>
    <p id="d1e262">We assess the disputed phase relations between forcing and
climatic response in the early Pleistocene with a spliced Gelasian
(<inline-formula><mml:math id="M1" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">2.6</mml:mn></mml:mrow></mml:math></inline-formula>–1.8 Ma) multi-proxy record from the southern North
Sea basin. The cored sections couple climate evolution on both land and sea
during the intensification of Northern Hemisphere glaciation (NHG) in NW
Europe, providing the first well-constrained stratigraphic sequence of the
classic terrestrial Praetiglian stage. Terrestrial signals were derived from
the Eridanos paleoriver, a major fluvial system that contributed a large
amount of freshwater to the northeast Atlantic. Due to its latitudinal
position, the Eridanos catchment was likely affected by early Pleistocene
NHG, leading to intermittent shutdown and reactivation of river flow and
sediment transport. Here we apply organic geochemistry, palynology, carbonate
isotope geochemistry, and seismostratigraphy to document both vegetation
changes in the Eridanos catchment and regional surface water conditions and
relate them to early Pleistocene glacial–interglacial cycles and relative
sea level changes. Paleomagnetic and palynological data provide a solid
integrated timeframe that ties the obliquity cycles, expressed in the
borehole geophysical logs, to Marine Isotope Stages (MIS) 103 to 92,
independently confirmed by a local benthic oxygen isotope record. Marine and
terrestrial palynological and organic geochemical records provide high-resolution reconstructions of relative terrestrial and sea surface
temperature (TT and SST), vegetation, relative sea level, and coastal
influence.</p>
    <p id="d1e275">During the prominent cold stages MIS 98 and 96, as well as 94, the record
indicates increased non-arboreal vegetation, low SST and TT, and low
relative sea level. During the warm stages MIS 99, 97, and 95 we infer
increased stratification of the water column together with a higher
percentage of
arboreal vegetation, high SST, and relative sea level maxima. The early
Pleistocene distinct warm–cold alterations are synchronous between land and
sea, but lead the relative sea level change by 3000–8000 years. The
record provides<?pagebreak page398?> evidence for a dominantly Northern Hemisphere-driven cooling that leads the
glacial buildup and varies on the obliquity timescale. Southward migration of
Arctic surface water masses during glacials, indicated by cool-water
dinoflagellate cyst assemblages, is furthermore relevant for the discussion
on the relation between the intensity of the Atlantic meridional overturning
circulation and ice sheet growth.</p>
  </abstract>
    </article-meta>
  </front>
<body>
      

<sec id="Ch1.S1" sec-type="intro">
  <label>1</label><title>Introduction</title>
      <p id="d1e287">The buildup of extensive Northern Hemisphere (NH) land ice started around
3.6 Ma (Ruddiman et al., 1986; Mudelsee and Raymo, 2005; Ravelo et al.,
2004; Ravelo, 2010), with stepwise intensifications between 2.7 and 2.54 Ma
ago (e.g., Shackleton and Hall, 1984; Raymo et al., 1989; Haug et al., 2005;
Lisiecki and Raymo, 2005; Sosdian and Rosenthal, 2009). In the North Atlantic
region the first large-scale early Pleistocene glaciations, Marine Isotope
Stages (MIS) 100–96, are marked by, for example, appearance of ice-rafted debris and
southward shift of the Arctic front (see overviews in Naafs et al., 2013;
Hennissen et al., 2015). On land, the glaciations led to faunal turnover
(e.g., Lister, 2004; Meloro et al., 2008) and widespread vegetation changes
(e.g., Zagwijn, 1992; Hooghiemstra and Ran, 1994; Svenning,
2003; Brigham-Grette et al., 2013). Many hypotheses have been put forward to
explain the initiation of these NH glaciations around the Pliocene–Pleistocene
transition interval. Causes include tectonics (Keigwin, 1982; Raymo, 1994;
Haug and Tiedemann, 1998; Knies et al., 2014; Poore et
al., 2006), orbital forcing dominated by obliquity-paced variability (Hays et
al., 1976; Maslin et al., 1998; Raymo et al., 2006), and atmospheric
<inline-formula><mml:math id="M2" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">CO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> concentration decline (Pagani et al., 2010; Seki et al., 2010;
Bartoli et al., 2011) driven by, for example, changes in ocean stratification that
affected the biological pump (Haug et al., 1999). Changes were amplified by
NH albedo changes (Lawrence et al., 2010), evaporation feedbacks (Haug et
al., 2005), and possibly tropical atmospheric circulation change and
breakdown of a permanent El Niño (Ravelo et al., 2004; Brierley and
Fedorov, 2010; Etourneau et al., 2010).</p>
      <p id="d1e301">Key aspects in this discussion are the phase relations between temperature
change on land, in the surface and deep ocean, and ice sheet accretion
(expressed through global eustatic sea level lowering) in both the Northern
Hemisphere and Southern Hemisphere. According to Raymo et al. (2006), early
Pleistocene obliquity forcing dominated global sea level and <inline-formula><mml:math id="M3" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O<inline-formula><mml:math id="M4" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">benthic</mml:mi></mml:msub></mml:math></inline-formula> because precession-paced changes in the Greenland
and Antarctic ice sheets canceled each other out. In this view, climate
records independent of sea level variations should display significant
variations on precession timescale. Recent tests of this
hypothesis indicate that early Pleistocene precession signals are prominent
in both Laurentide Ice Sheet
meltwater pulses and iceberg-rafted debris of the East Antarctic ice sheet
and are decoupled from marine <inline-formula><mml:math id="M5" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O (Patterson et al., 2014; Shakun
et al., 2016). Alternatively, variations in the total integrated summer
energy, which is obliquity controlled, might be responsible for the dominant
obliquity pacing of the early Pleistocene (Huybers, 2011; Tzedakis et al.,
2017). The dominance of the obliquity component has been attributed to
feedbacks between high-latitude insolation, albedo (sea ice and vegetation),
and ocean heat flux (Koenig et al., 2011; Tabor et al., 2014). Sosdian and
Rosenthal (2009) suggested that temperature variations, based on benthic
foraminifer magnesium <inline-formula><mml:math id="M6" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> calcium (Mg <inline-formula><mml:math id="M7" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> Ca) ratios from the North
Atlantic, explain a substantial portion of the global variation in the
<inline-formula><mml:math id="M8" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O<inline-formula><mml:math id="M9" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">benthic</mml:mi></mml:msub></mml:math></inline-formula> signal. Early Pleistocene North Atlantic
climate responses were closely phased with <inline-formula><mml:math id="M10" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O<inline-formula><mml:math id="M11" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">benthic</mml:mi></mml:msub></mml:math></inline-formula>
changes, evidenced by dominant 41 kyr variability in North American
biomarker dust fluxes at IODP Site U1313 (Naafs et al., 2012), suggesting a
strong common NH high-latitude imprint on North Atlantic climate signals
(Lawrence et al., 2010). Following this reasoning, glacial buildup should be
in phase with decreases in NH sea surface temperatures (SSTs) and terrestrial
temperatures (TTs).</p>
      <p id="d1e390">To explicitly test this hypothesis we perform a high-resolution multiproxy
terrestrial and marine palynological, organic geochemical, and stable
isotope study on a marginal marine sediment sequence from the southern North
Sea (SNS) during the early Pleistocene “41 kyr world”. We investigate the
leads and lags of regional marine vs. terrestrial climatic cooling during
MIS 102–92 and assess the local sea level response relative to global
patterns from the <inline-formula><mml:math id="M12" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O<inline-formula><mml:math id="M13" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">benthic</mml:mi></mml:msub></mml:math></inline-formula> stack of Lisiecki and
Raymo (2005; LR04). In a dominantly NH-obliquity-driven scenario, we expect
the marine and terrestrial temperature proxies to be in phase on obliquity
timescales with a short (less than 10 kyr) lead on sea level variations. In
addition, the record can better constrain the signature and timing of the
regional continental Praetiglian stage (Van der Vlerk and Florschütz,
1953; Zagwijn, 1960) that is still widely used, although its stratigraphic
position and original description are not well defined (Donders et al.,
2007; Kemna and Westerhoff, 2007; Meijer et al., 2006).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F1" specific-use="star"><?xmltex \currentcnt{1}?><label>Figure 1</label><caption><p id="d1e416">Geographical map of the
present-day North Sea region with the superimposed thickness of Cenozoic
sediment infill after Ziegler (1990) and the offshore sectors (dashed lines).
The reconstructed different water sources (see Gibbard and Lewin, 2016) that
influenced the Pliocene and early Pleistocene North Sea hydrography,
including the freshwater supply of the Baltic River system, the Rhine–Meuse
River system, and Atlantic surface waters, are indicated with blue arrows.
The location of both boreholes A15-3 (UTM X 552567.1, Y 6128751.6) and A15-4
(UTM X 557894.4, Y 6117753.5) is marked by an asterisk; see Fig. S1 in the
Supplement for details.</p></caption>
        <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://cp.copernicus.org/articles/14/397/2018/cp-14-397-2018-f01.pdf"/>

      </fig>

</sec>
<sec id="Ch1.S2">
  <label>2</label><title>Geological setting</title>
      <p id="d1e433">During the Neogene the epicontinental North Sea basin was confined by
landmasses except towards the northwest, where it opened into the Atlantic
domain (Fig. 1) (Bijlsma, 1981; Ziegler, 1990). Water depths in the central
part were approximately between 100 and 300 m as deduced from seismic
geometry (Huuse et al., 2001; Overeem et al., 2001). In contrast, the recent
North Sea has an average depth between 20 and 50 m in the south that deepens
only towards the shelf edge towards 200 m in the northwest (e.g., Caston,
1979). From the present-day Baltic region a formidable river system, known as
the Eridanos paleoriver, developed and built<?pagebreak page399?> up the southern North Sea delta
across southern Scandinavia (Sørensen et al., 1997; Michelsen et al.,
1998; Huuse et al., 2001; Overeem et al., 2001).</p>
      <p id="d1e436">This delta was characterized by an extensive distributary system that
supplied large amounts of freshwater and sediment to the shelf sea during
the Neogene and early Pleistocene (Overeem et al., 2001), resulting in a
sediment infill of <inline-formula><mml:math id="M14" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 1500 m in the central North Sea Basin
(Fig. 1). This system was fed by rainfall as well as by meltwater
originating from Scandinavian glaciers (Kuhlmann et al., 2004), principally
from the Baltic Shield in the east with some contribution from the south
(Fig. 1) (Bijlsma, 1981; Kuhlmann, 2004). The sedimentation rates reached up
to 84 cm kyr<inline-formula><mml:math id="M15" 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> at the studied locations (Fig. 2) (Kuhlmann et al., 2006b).
Today, the continental river runoff contributes only 0.5 % of the water
budget in the North Sea (Zöllmer and Irion, 1996) resulting in
sedimentation rates ranging between 0.4 and 1.9 cm kyr<inline-formula><mml:math id="M16" 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> in the Norwegian
Channel and between 0.5 and 1 cm kyr<inline-formula><mml:math id="M17" 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> in the southern part of the North Sea (de Haas
et al., 1997).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F2" specific-use="star"><?xmltex \currentcnt{2}?><label>Figure 2</label><caption><p id="d1e484">Chronology and mean sedimentation rates as derived from
biostratigraphy and paleomagnetic data (Kuhlmann et al., 2006a, b) in
combination with the gamma-ray log of A15-3 and A15-4 used in this study on
a common depth scale. The position of various sample types and the mapped
seismic horizons S4–6 (Fig. S1) are indicated. Material for the sidewall
cores is limited and used only for palynology and organic geochemistry.
Bioevents based on Kuhlmann et al. (2006a, b) are listed in Table S1.</p></caption>
        <?xmltex \igopts{width=284.527559pt}?><graphic xlink:href="https://cp.copernicus.org/articles/14/397/2018/cp-14-397-2018-f02.pdf"/>

      </fig>

</sec>
<sec id="Ch1.S3">
  <label>3</label><title>Material, core description, and age model</title>
      <p id="d1e501">Recent exploration efforts in the SNS led to the successful recovery of
cored sedimentary successions of MIS 102–92 and
continuous paleomagnetic logs (Fig. 2) (Kuhlmann et al., 2006a, b). For
quantitative palynological and geochemical analyses, discrete sediment
samples were taken from two exploration wells, A15-3 and A15-4, located in the
northernmost part of the Dutch offshore sector in the SNS at the Neogene
sedimentary depocenter (Fig. 1). An integrated age model is available based
on a multidisciplinary geochronological analysis of several boreholes within
the SNS (Kuhlmann et al., 2006a, b) and dinocyst biostratigraphy. The
magnetostratigraphy, core correlation and age-diagnostic dinocyst events
used for this age model are summarized in Fig. 2 and Table S1 in the Supplement. The recovered
material mainly consists of finely grained soft sediments (clayey to very
fine sandy), sampled from cuttings, undisturbed sidewall cores, and core
sections (Fig. 2). Geochemical analyses were limited to the (sidewall) core
intervals, while the cuttings were to increase resolution of the
palynological samples, and are based on larger rock chips that have been
cleaned before treatment. Clear cyclic variations in the gamma ray signal
and associated seismic reflectors across the interval can be correlated
across the entire basin (Kuhlmann et al., 2006a; Kuhlmann and Wong, 2008;
Thöle et al., 2014). Samples from the two boreholes were spliced based on
the gamma-ray logs (Figs. 2, S2 in the Supplement) and biostratigraphic events to generate a
composite record. The age model is mainly based on continuous paleomagnetic
logging supported by discrete sample measurements and high-resolution
biostratigraphy. There is evidence of small hiatuses above (<inline-formula><mml:math id="M18" display="inline"><mml:mo lspace="0mm">∼</mml:mo></mml:math></inline-formula> 2.1 Ma) and significant hiatuses below the selected interval (within the
early Pliocene and Miocene, particularly the Mid-Miocene<?pagebreak page400?> Unconformity),
which is why we excluded these intervals in this study. The position of the
Gauss–Matuyama transition at the base of log unit 6 correlates to the base
of MIS 103. The identification of the X event, at the top of log unit 9,
correlates to MIS 96, and the Olduvai magnetochron is present within log
units 16–18 (Kuhlmann et al., 2006a, b). These ages are supported by dinocyst
and several other bioevents (Table S1, updated from Kuhlmann et al.,
2006a, b). Consistent with the position of the X event, the depositional
model by Kuhlmann and Wong (2008) relates the relatively coarsely grained, low
gamma-ray intervals to interglacials characterized by high runoff. A recent
independent study on high-resolution stable isotope analyses of benthic
foraminifera from an onshore section in the same basin confirmed this phase
relation (Noorbergen et al., 2015). Around glacial terminations, when sea
level was lower but the basin remained fully marine, massive amounts of very
finely grained clayey to fine silty material were deposited in the basin, the
waste products of intense glacial erosion. During interglacials with high
sea level, more mixed, coarsely grained sediments characterize the deposits,
also reflecting a dramatically changed hinterland, retreated glaciers, and
possibly (stronger) bottom currents (Kuhlmann and Wong, 2008). Based on this
phase relation, detailed magneto- and biostratigraphy, grain size
measurements, and previous low-resolution relative SST indices (Kuhlmann et
al., 2004; Kuhlmann et al., 2006a, b), the finer-grained units are
consistently correlated to MIS 102–92. Based on this correlation of the
gamma ray inflection points to the corresponding LR04 MIS transitions, the sequence
is here transferred to an age scale through interpolation with a smoothing
spline function (Fig. S3 in the Supplement).</p>
      <p id="d1e511">The regional structure and development of the delta front across the
Pliocene–Pleistocene transition interval is very well constrained by a
high-resolution regional geological model that represents the anatomy of the
Eridanos (pro-) delta (Kuhlmann and Wong, 2008; Ten Veen et al., 2014). A
total of 25 seismic horizons in the Pliocene–Pleistocene transition interval
were mapped using a series of publically available 2-D and 3-D seismic surveys
across the northern part of the Dutch offshore sector. For all these
surfaces the distribution of delta elements such as of topset, foreset, and
toeset to prodelta has been determined, resulting in zonal maps (250 m grid
size) that represent the present-day geometry of the surfaces. The
paleoenvironmental reconstructions are compared to these maps to constrain
the regional setting and aid the interpretations.</p>
</sec>
<sec id="Ch1.S4">
  <label>4</label><title>Paleoenvironmental proxies and methods</title>
<sec id="Ch1.S4.SS1">
  <label>4.1</label><?xmltex \opttitle{Benthic oxygen and carbon isotopes \hack{\break} ($\delta^{{18}}$O${}_{\mathrm{b}}$ and
$\delta^{{13}}$C${}_{\mathrm{b}})$}?><title>Benthic oxygen and carbon isotopes <?xmltex \hack{\break}?> (<inline-formula><mml:math id="M19" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O<inline-formula><mml:math id="M20" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">b</mml:mi></mml:msub></mml:math></inline-formula> and
<inline-formula><mml:math id="M21" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">13</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>C<inline-formula><mml:math id="M22" display="inline"><mml:mrow><mml:msub><mml:mi/><mml:mi mathvariant="normal">b</mml:mi></mml:msub><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula></title>
      <p id="d1e574">Oxygen and carbon isotopes were measured on tests of <italic>Cassidulina teretis</italic>, a cold-water species
of endobenthic foraminifera that is generally abundant in the samples and
common in finely grained sediment and at relatively low salinities (Mackensen and
Hald, 1988; Rosoff and Corliss, 1992). Because of their endobenthic habitat,
they record<?pagebreak page401?> isotope compositions of pore waters, which leads to somewhat
reduced (<inline-formula><mml:math id="M23" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">13</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>C<inline-formula><mml:math id="M24" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">b</mml:mi></mml:msub></mml:math></inline-formula>) values compared to the overlying bottom
waters. Since the amount of material from the sidewall cores is limited, the
isotope data are only produced for the cored intervals with the principal aim
to confirm the phase relationship described by Kuhlmann and Wong (2008)
between facies and climate. Preservation was based on a visual inspection
and assignment of a relative preservation scale of 1–5, after which the
poorest two classes were discarded because primary calcite was nearly absent.
The best-preserved specimens (cat. 1) had shiny tests (original wall
calcite) and showed no signs of overgrowth. Category 2 specimens showed
signs of overgrowth but were not recrystallized and cat. 3 specimens were
dull and overgrown by a thin layer of secondary calcite. Between
<inline-formula><mml:math id="M25" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 20 and 50 <inline-formula><mml:math id="M26" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>g of specimens per sample was weighed,
after which the isotopes of the carbonate were measured using a Kiel III
device coupled to a 253 Thermo Finnigan MAT instrument. Isotope measurements
were normalized to an external standard “NBS-19” (<inline-formula><mml:math id="M27" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O <inline-formula><mml:math id="M28" display="inline"><mml:mrow><mml:mo>=</mml:mo><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2.20</mml:mn><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mi mathvariant="normal">‰</mml:mi></mml:mrow></mml:math></inline-formula>,
<inline-formula><mml:math id="M29" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">13</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>C <inline-formula><mml:math id="M30" display="inline"><mml:mrow><mml:mo>=</mml:mo><mml:mn mathvariant="normal">1.95</mml:mn><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mi mathvariant="normal">‰</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>.</p>
</sec>
<sec id="Ch1.S4.SS2">
  <label>4.2</label><title>Palynological proxies</title>
      <p id="d1e676">In modern oceans, dinoflagellates are an important component of the
(phyto)plankton. About 15–20 % of the marine dinoflagellates form an
organic walled cyst (dinocyst) during the life cycle that can be preserved
in sediments (Head, 1996). Dinocyst distribution in marine surface sediments
has shown to reflect changes in the sea surface water properties, mostly
responding to temperature (e.g., Rochon et al., 1999; Zonneveld et al.,
2013). Down-core changes in dinocyst assemblages are widely used in
reconstructing past environmental changes in the Quaternary (e.g., de Vernal
et al., 2009), but also in the Neogene and Paleogene (e.g., Versteegh and
Zonneveld, 1994; Head et al., 2004; Pross and Brinkhuis, 2005; Sluijs et
al., 2005; Schreck et al., 2013; De Schepper et al., 2011, 2013; Hennissen
et al., 2017).</p>
      <p id="d1e679">Here we use the preference of certain taxa for cold-temperate to arctic
surface waters to derive SST trends. The cumulative
percentage of the dinocysts <italic>Filisphaera microornata</italic>, <italic>Filisphaera filifera</italic>, <italic>Filisphaera</italic> sp., <italic>Habibacysta tectata</italic>, and <italic>Bitectatodinium tepikiense</italic> in the
total dinocysts represents our cold surface water indicator (Versteegh and
Zonneveld, 1994; Donders et al., 2009; De Schepper et al., 2011).
Interestingly, <italic>Bitectatodinium tepikiense</italic>, the only extant dinocyst
among our cold-water species, has been recorded from the mixing zone of polar
front oceanic waters with cold brackish meltwaters from glacier ice (e.g.,
Bakken and Dale, 1986) and at the transition between the subpolar and
temperate zones (Dale, 1996). The combined abundance of <italic>Lingulodinium machaerophorum</italic>, <italic>Tuberculodinium vancampoae</italic>, <italic>Polysphaeridium zoharyi</italic>, and <italic>Operculodinium israelianum</italic> is used here to indicate
coastal waters, although they generally also relate to warmer conditions. In
particular, high percentages of <italic>L. machaerophorum</italic> are typically
recorded in eutrophic coastal areas where reduced salinity and (seasonal)
stratification due to runoff occur (Dale, 1996; Sangiorgi and Donders, 2004;
Zonneveld et al., 2009). At present, <italic>T. vancampoae</italic>, <italic>P. zoharyi</italic>, and <italic>O. israelianum</italic> are also found
in lagoonal euryhaline environments (Zonneveld et al., 2013) and hence could
be used to indicate a more proximal condition relative to <italic>L. machaerophorum</italic> (Pross and Brinkhuis, 2005).</p>
      <p id="d1e729">At present, Protoperidinioid (P) cysts are mostly formed by heterotrophic
dinoflagellates and the percentage of P cysts may be used as an indicator of
high eukaryotic productivity (see Reichart and Brinkhuis, 2003; Sangiorgi and
Donders, 2004; Sluijs et al., 2005). Here we use the percentage of P cysts
(<italic>Brigantedinium</italic> spp., <italic>Lejeunecysta</italic> spp.,
<italic>Trinovantedinium glorianum</italic>, <italic>Selenopemphix</italic> spp.,
<italic>Islandinium</italic> spp., <italic>Barssidinium</italic> <italic>graminosum</italic>, and
<italic>B. wrennii</italic>) to indicate eukaryotic productivity.</p>
      <p id="d1e757">Terrestrial palynomorphs (sporomorphs) reflect variations in the vegetation
on the surrounding land masses and provide information on climate variables
such as continental temperatures and precipitation (e.g., Heusser and
Shackleton, 1979; Donders et al., 2009; Kotthoff et al., 2014). A ratio of
terrestrial to marine palynomorphs (T <inline-formula><mml:math id="M31" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> M ratio) is widely used as a relative
measure of distance to the coast and thereby reflects sea level variations
and depth trends in the basin (e.g., McCarthy and Mudie, 1998; Donders et al.,
2009; Quaijtaal et al., 2014; Kotthoff et al., 2014). Morphological
characteristics of late Neogene pollen types can, in most cases, be related
to extant genera and families (Donders et al., 2009; Larsson et al., 2011;
Kotthoff et al., 2014). In A15-3 and A15-4, the relatively long distance between the
land and the site of deposition means that the pollen assemblage is not only
a reflection of vegetation cover and climate but also includes information on the
mode of transport. Assemblages with a relatively high number of taxa,
including insect-pollinated forms, are indicative of substantial pollen input
through water transport (Whitehead, 1983), whereas wind-transported pollen
typically show a low diversity. Sediments of a location proximal to a river
delta likely receive a majority of pollen that is water transported, while
distal locations are dominated by wind-transported pollen and particularly
bisaccate taxa (Hooghiemstra, 1988; Mudie and McCarthy, 1994). To exclude these effects, the percentage of arboreal pollen
(AP), representing relative terrestrial temperatures, was calculated
excluding bisaccate forms. The non-arboreal pollen (NAP; mainly Poaceae and
also <italic>Artemisia</italic>, Chenopodiaceae, and Asteraceae) consist only of
nonaquatic herbs. High AP percentages indicate warm, moist conditions,
whereas open vegetation (NAP and Ericaceae) is indicative of cooler, drier
conditions consistent with a glacial climate (Faegri et al., 1989).</p>
</sec>
<?pagebreak page402?><sec id="Ch1.S4.SS3">
  <label>4.3</label><title>Palynological processing</title>
      <p id="d1e778">The samples were processed using standard palynological procedures (e.g.,
Faegri et al., 1989) involving HCl (30 %) and cold HF (40 %) digestion
of carbonates and silicates. Residues were sieved with 15 <inline-formula><mml:math id="M32" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>m mesh and
treated using heavy liquid separation (ZnCl, specific gravity 2.1 g cm<inline-formula><mml:math id="M33" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>).
The slides were counted for dinocysts (with a minimum of 100 cysts) and
pollen (with a preferable minimum of 200 grains). The dinocyst taxonomy
follows Williams et al. (2017). Resulting counts were expressed as percent
abundance of the respective terrestrial or marine groups of palynomorphs.</p>
</sec>
<sec id="Ch1.S4.SS4">
  <label>4.4</label><title>Organic geochemical proxies</title>
      <p id="d1e809">We applied three measures for the relative marine versus terrestrial
hydrocarbon sources. The carbon preference index (CPI), based on
C<inline-formula><mml:math id="M34" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">25</mml:mn></mml:msub></mml:math></inline-formula>–C<inline-formula><mml:math id="M35" display="inline"><mml:mrow><mml:msub><mml:mi/><mml:mn mathvariant="normal">34</mml:mn></mml:msub><mml:mi>n</mml:mi></mml:mrow></mml:math></inline-formula>-alkanes, originally devised to infer thermal maturity
(Bray and Evans, 1961), has high values for predominantly terrestrial plant
sources (Eglinton and Hamilton, 1967; Rieley et al., 1991). Values closer to
1 indicate greater input from marine microorganisms and/or recycled organic
matter (e.g., Kennicutt et al., 1987). Furthermore, peat mosses like
<italic>Sphagnum</italic> are characterized by a dominance of the shorter C<inline-formula><mml:math id="M36" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">23</mml:mn></mml:msub></mml:math></inline-formula>
and C<inline-formula><mml:math id="M37" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">25</mml:mn></mml:msub></mml:math></inline-formula> <inline-formula><mml:math id="M38" display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>-alkanes (e.g., Baas et al., 2000; Vonk and Gustafsson, 2009),
whereas longer-chain <inline-formula><mml:math id="M39" display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>-alkanes (C<inline-formula><mml:math id="M40" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">27</mml:mn></mml:msub></mml:math></inline-formula>–C<inline-formula><mml:math id="M41" display="inline"><mml:mrow><mml:msub><mml:mi/><mml:mn mathvariant="normal">33</mml:mn></mml:msub><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> are synthesized by higher
plants (e.g., Pancost et al., 2002; Nichols et al., 2006). Here we express
the abundance of <italic>Sphagnum</italic> relative to higher plants as the
proportion of C<inline-formula><mml:math id="M42" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">23</mml:mn></mml:msub></mml:math></inline-formula> and C<inline-formula><mml:math id="M43" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">25</mml:mn></mml:msub></mml:math></inline-formula> relative to the C<inline-formula><mml:math id="M44" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">27</mml:mn></mml:msub></mml:math></inline-formula>–C<inline-formula><mml:math id="M45" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">33</mml:mn></mml:msub></mml:math></inline-formula>
odd-carbon-numbered <inline-formula><mml:math id="M46" display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>-alkanes. Finally, the input of soil organic matter
into the marine environment was estimated using the relative abundance of
branched glycerol dialkyl glycerol tetraethers (brGDGTs), produced by
bacteria that are abundant in soils, versus that of the marine
Thaumarchaeota-derived isoprenoid GDGT crenarchaeol (Sinninghe Damsté et
al., 2002), which is quantified in the branched and isoprenoid tetraether
(BIT) index (Hopmans et al., 2004). The distribution of brGDGTs in soils is
temperature dependent (Weijers et al., 2007; Peterse et al., 2012). Annual
mean air temperatures (MATs) were reconstructed based on down-core
distributional changes of brGDGT and a global soil calibration that uses both
the 5- and 6-methyl isomers of the brGDGTs (MAT<inline-formula><mml:math id="M47" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">mr</mml:mi></mml:msub></mml:math></inline-formula>; De Jonge et
al., 2014a). Cyclization of branched tetraethers (CBT) ratios was shown
earlier to correlate with the ambient MAT and soil pH (Weijers et al., 2007;
Peterse et al., 2012). The much improved CBT' ratio (De
Jonge et al., 2014a), which includes the pH-dependent 6-methyl brGDGTs, is
used here to reconstruct soil pH. The total organic carbon (TOC) and total
nitrogen measurements are used to determine the atomic C <inline-formula><mml:math id="M48" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> N ratio that
in coastal marine sediments can indicate the dominant source of organic
matter, with marine C <inline-formula><mml:math id="M49" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> N values at <inline-formula><mml:math id="M50" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">10</mml:mn></mml:mrow></mml:math></inline-formula> and terrestrial between 15
and 30 (Hedges et al., 1997).</p><?xmltex \hack{\newpage}?>
</sec>
<sec id="Ch1.S4.SS5">
  <label>4.5</label><title>Organic geochemical processing</title>
      <p id="d1e981">Organic geochemical analyses were limited to the core and sidewall core
samples. For TOC determination <inline-formula><mml:math id="M51" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">0.3</mml:mn></mml:mrow></mml:math></inline-formula> g of freeze-dried and
powdered sediment was weighed and treated with 7.5 mL 1 M HCL to remove
carbonates, followed by 4 h of shaking, centrifugation, and decanting. This
procedure was repeated with 12 h of shaking. Residues were washed twice with
demineralized water and dried at 40–50 <inline-formula><mml:math id="M52" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C for 96 h after which weight
loss was determined. About 15 to 20 mg of ground sample was measured
in a Fisons NA 1500 NCS elemental analyzer with a normal Dumas combustion
setup. Results were normalized to three external standards (Bureau Communautaire de Référence BCR-71,
atropine,
and acetanilide) and analyzed before and after the series, and after each 10
measurements. % TOC was determined by % C <inline-formula><mml:math id="M53" display="inline"><mml:mi>x</mml:mi></mml:math></inline-formula> decalcified weight divided by the original
weight.</p>
      <p id="d1e1010">For biomarker extraction ca. 10 g of sediment was freeze-dried and
mechanically powdered. The sediments were extracted with a dichloromethane
(DCM) : methanol (MeOH) solvent mixture (<inline-formula><mml:math id="M54" display="inline"><mml:mrow><mml:mn mathvariant="normal">9</mml:mn><mml:mo>:</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M55" display="inline"><mml:mrow><mml:mi>v</mml:mi><mml:mo>/</mml:mo><mml:mi>v</mml:mi></mml:mrow></mml:math></inline-formula>, three times for 5 min each)
using an accelerated solvent extractor (ASE, Dionex 200) at 100 <inline-formula><mml:math id="M56" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C
and ca. 1000 psi. The resulting total lipid extract (TLE) was evaporated to
near dryness using a rotary evaporator under near vacuum conditions. The TLE was then
transferred to a 4 mL vial and dried under a continuous N<inline-formula><mml:math id="M57" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> flow. A
50 % split of the TLE was archived. For the other working half, elemental
sulfur was removed by adding activated (in 2M HCl) copper turnings to the TLE
in DCM and stirring overnight. The TLE was subsequently filtered over
Na<inline-formula><mml:math id="M58" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>SO<inline-formula><mml:math id="M59" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> to remove the CuS, after which 500 ng of a C<inline-formula><mml:math id="M60" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">46</mml:mn></mml:msub></mml:math></inline-formula> GDGT
internal standard was added (Huguet et al., 2009). The resulting TLE was separated over
a small column (Pasteur pipette) packed with activated Al<inline-formula><mml:math id="M61" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>O<inline-formula><mml:math id="M62" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> (2 h
at 150 <inline-formula><mml:math id="M63" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C). The TLE was separated into an apolar, a ketone, and a
polar fraction by eluting with <inline-formula><mml:math id="M64" display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>-hexane <inline-formula><mml:math id="M65" display="inline"><mml:mo>:</mml:mo></mml:math></inline-formula> DCM <inline-formula><mml:math id="M66" display="inline"><mml:mrow><mml:mn mathvariant="normal">9</mml:mn><mml:mo>:</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula> (<inline-formula><mml:math id="M67" display="inline"><mml:mrow><mml:mi>v</mml:mi><mml:mo>/</mml:mo><mml:mi>v</mml:mi></mml:mrow></mml:math></inline-formula>),
<inline-formula><mml:math id="M68" display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>-hexane <inline-formula><mml:math id="M69" display="inline"><mml:mo>:</mml:mo></mml:math></inline-formula> DCM <inline-formula><mml:math id="M70" display="inline"><mml:mrow><mml:mn mathvariant="normal">1</mml:mn><mml:mo>:</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula> (<inline-formula><mml:math id="M71" display="inline"><mml:mrow><mml:mi>v</mml:mi><mml:mo>/</mml:mo><mml:mi>v</mml:mi></mml:mrow></mml:math></inline-formula>), and DCM <inline-formula><mml:math id="M72" display="inline"><mml:mo>:</mml:mo></mml:math></inline-formula> MeOH <inline-formula><mml:math id="M73" display="inline"><mml:mrow><mml:mn mathvariant="normal">1</mml:mn><mml:mo>:</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula> (<inline-formula><mml:math id="M74" display="inline"><mml:mrow><mml:mi>v</mml:mi><mml:mo>/</mml:mo><mml:mi>v</mml:mi></mml:mrow></mml:math></inline-formula>) solvent
mixtures, respectively. The apolar fraction was analyzed using gas
chromatography (GC) coupled to a flame ionization detector (FID) and gas
chromatography mass spectroscopy (GC-MS) for quantification and
identification of specific biomarkers, respectively. For GC, samples were
dissolved in 55 <inline-formula><mml:math id="M75" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>L of hexane and analyzed using a Hewlett-Packard
G1513A autosampler interfaced to a Hewlett-Packard 6890 series GC system equipped with a FID, using a
CP-Sil 5 fused silica capillary column (25 m <inline-formula><mml:math id="M76" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 0.32 mm, film
thickness 0.12 <inline-formula><mml:math id="M77" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>m), with a 0.53 mm pre-column. The temperature
program goes from 70 to 130 <inline-formula><mml:math id="M78" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C (0 min) at 20 <inline-formula><mml:math id="M79" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C min<inline-formula><mml:math id="M80" 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> and then to
320 <inline-formula><mml:math id="M81" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C at 4 <inline-formula><mml:math id="M82" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C min<inline-formula><mml:math id="M83" 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> (hold time 20 min). The
injection volume of the samples was 1 <inline-formula><mml:math id="M84" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>L.</p>
      <p id="d1e1312">Analyses of the apolar fractions were performed on a Thermo Finnigan TRACE GC
ultra interfaced to a Thermo Finnigan TRACE DSQ MS instrument using the same
temperature program, column, and injection volume as for GC<?pagebreak page403?> analysis. Alkane
ratios are calculated using peak surface areas of the respective alkanes
from the GC-FID chromatograms.</p>
      <p id="d1e1315">Prior to analyses, the polar fractions, containing the GDGTs, were dissolved
in <inline-formula><mml:math id="M85" display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>-hexane : propanol (<inline-formula><mml:math id="M86" display="inline"><mml:mrow><mml:mn mathvariant="normal">99</mml:mn><mml:mo>:</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M87" display="inline"><mml:mrow><mml:mi>v</mml:mi><mml:mo>/</mml:mo><mml:mi>v</mml:mi></mml:mrow></mml:math></inline-formula>) and filtered over a
0.45 <inline-formula><mml:math id="M88" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>m mesh PTFE filter (ø 4 mm). Subsequently, analyses of
the GDGTs were performed using ultra-high-performance liquid
chromatography mass spectrometry (UHPLC-MS) on an Agilent 1290 infinity
series instrument coupled to a 6130 quadrupole mass selective detector with settings as described
in Hopmans et al. (2016). In short, separation of GDGTs was performed on two
silica Waters ACQUITY UHPLC HEB HILIC (1.7 <inline-formula><mml:math id="M89" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>m,
2.1 mm <inline-formula><mml:math id="M90" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 150 mm) columns, preceded by a guard column of the same
material. GDGTs were eluted isocratically using 82 % A and 18 % B for
25 min and then with a linear gradient to 70 % A and 30 % B for
25 min, where A is <inline-formula><mml:math id="M91" display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>-hexane and B <inline-formula><mml:math id="M92" display="inline"><mml:mrow><mml:mo>=</mml:mo><mml:mi>n</mml:mi></mml:mrow></mml:math></inline-formula>-hexane <inline-formula><mml:math id="M93" display="inline"><mml:mo>:</mml:mo></mml:math></inline-formula> isopropanol. The
flow rate was constant at 0.2 mL min<inline-formula><mml:math id="M94" 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>. The [M <inline-formula><mml:math id="M95" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> H]<inline-formula><mml:math id="M96" display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula> ions of
the GDGTs were detected in selected ion monitoring mode and quantified
relative to the peak area of the C<inline-formula><mml:math id="M97" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">46</mml:mn></mml:msub></mml:math></inline-formula> GDGT internal standard.</p>
</sec>
</sec>
<sec id="Ch1.S5">
  <label>5</label><title>Results</title>
<sec id="Ch1.S5.SS1">
  <label>5.1</label><title>Stable isotope data</title>
      <p id="d1e1452">The glacial–interglacial (G–IG) range in <italic>Cassidulina teretis</italic> <inline-formula><mml:math id="M98" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O (<inline-formula><mml:math id="M99" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O<inline-formula><mml:math id="M100" display="inline"><mml:mrow><mml:msub><mml:mi/><mml:mi mathvariant="normal">b</mml:mi></mml:msub><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> is <inline-formula><mml:math id="M101" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula> ‰ between MIS 98
and 97 and <inline-formula><mml:math id="M102" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 1.3 ‰ between MIS 95 and 94,
but with considerably more variation in especially MIS 95 (Fig. 3). The
<inline-formula><mml:math id="M103" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">13</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>C<inline-formula><mml:math id="M104" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">b</mml:mi></mml:msub></mml:math></inline-formula> data covary consistently with <inline-formula><mml:math id="M105" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O<inline-formula><mml:math id="M106" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">b</mml:mi></mml:msub></mml:math></inline-formula> and have a G–IG range of <inline-formula><mml:math id="M107" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 1.1 ‰, in addition to one strongly depleted value in MIS 94
(<inline-formula><mml:math id="M108" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3.5</mml:mn></mml:mrow></mml:math></inline-formula> ‰). The MIS 95 <inline-formula><mml:math id="M109" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">13</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>C<inline-formula><mml:math id="M110" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">b</mml:mi></mml:msub></mml:math></inline-formula> values are
less variable than the <inline-formula><mml:math id="M111" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O<inline-formula><mml:math id="M112" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">b</mml:mi></mml:msub></mml:math></inline-formula>, pointing to an externally
forced signal in the latter. The <inline-formula><mml:math id="M113" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O<inline-formula><mml:math id="M114" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">b</mml:mi></mml:msub></mml:math></inline-formula> confirms the
relation between glacial stages and finely grained sediment as proposed by
Kuhlmann et al. (2006a, b). Although the data are somewhat scattered, the
A15-3 and A15-4 phase relation to the sediment facies is in agreement with the
high-resolution stable isotope benthic foraminifera record of the onshore
Noordwijk borehole (Noorbergen et al., 2015). The glacial-to-interglacial
ranges are very similar in magnitude with those reported by Sosdian and
Rosenthal (2009) for the North Atlantic but are on average lighter by
<inline-formula><mml:math id="M115" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 0.5 ‰ (<inline-formula><mml:math id="M116" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O<inline-formula><mml:math id="M117" display="inline"><mml:mrow><mml:msub><mml:mi/><mml:mi mathvariant="normal">b</mml:mi></mml:msub><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> and
<inline-formula><mml:math id="M118" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 1.8 ‰ (<inline-formula><mml:math id="M119" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">13</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>C<inline-formula><mml:math id="M120" display="inline"><mml:mrow><mml:msub><mml:mi/><mml:mi mathvariant="normal">b</mml:mi></mml:msub><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>.</p>
</sec>
<sec id="Ch1.S5.SS2">
  <label>5.2</label><title>Palynology</title>
      <p id="d1e1698">Palynomorphs, including dinocysts, freshwater palynomorphs, and pollen, are
abundant, diverse, and well preserved in these sediments. Striking is the
dominance of conifer pollen. Angiosperm (tree) pollen are present and
diverse, but low in abundance relative to conifers. During interglacials (MIS
103, 99, 97, 95, and 93) the pollen record generally shows increased and more
diverse tree pollen (particularly <italic>Picea</italic> and <italic>Tsuga</italic>) and
warm temperate <italic>Osmunda</italic> spores, whereas during glacials (MIS 102,
(100), 98, 96, and 94) herb and heath pollen indicative of open landscapes
are dominant (Fig. S2 in the Supplement). The percentage of arboreal pollen (AP;
excluding bisaccate pollen) summarizes these changes, showing maximum values
of <inline-formula><mml:math id="M121" display="inline"><mml:mi mathvariant="italic">&gt;</mml:mi></mml:math></inline-formula> 40 % restricted to just a part of the more coarsely grained
interglacial intervals (Fig. 3). The percentage record of cold-water
dinocysts is quite scattered in some intervals but indicates generally colder
conditions within glacial stages and minima during % AP maxima (Fig. 3).
After peak cold conditions and a TOC maximum (see below), but still well
within the glacials, the percentage of Protoperidinoid consistently increases. Some
intervals (e.g., top of MIS 94) are marked by influxes of freshwater algae
(<italic>Pediastrum</italic> and <italic>Botryococcus)</italic>, indicating a strong riverine
input; these data, however, do not indicate a clear trend. This robust in-phase
pattern of G–IG variations is also reflected by high
T <inline-formula><mml:math id="M122" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> M ratios during glacials, indicating coastal proximity, and low
T <inline-formula><mml:math id="M123" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> M during (final phases of) interglacials. The G–IG
variability in the T <inline-formula><mml:math id="M124" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> M ratio is superimposed on a long-term
increase. The coastal (warm-tolerant) dinocyst maxima are confined to the
interglacial intervals and their abundance increases throughout the record.
Successive increases in coastal inner neritic <italic>Lingulodinium machaerophorum</italic>, followed by increases in coastal lagoonal species in the
youngest part, mirror the shoaling trend in the T <inline-formula><mml:math id="M125" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> M ratio, which in
time corresponds with the gradual progradation of the Eridanos delta front
(Fig. S1).</p>
</sec>
<sec id="Ch1.S5.SS3">
  <label>5.3</label><title>Organic geochemical proxies</title>

      <?xmltex \floatpos{t}?><fig id="Ch1.F3" specific-use="star"><?xmltex \currentcnt{3}?><label>Figure 3</label><caption><p id="d1e1765">Spliced record of A15-3 and A15-4 showing the principal geochemical
and palynological indices. Shaded blue intervals represent the identified
glacial MIS delimited by the gamma-ray transitions following Kuhlmann et al.
(2006a, b). Data density is dependent on type of sample as indicated in
Fig. 1. Age scale is based on correlation and LOESS interpolation of the
identified MIS transitions to the LR04 benthic stack (Lisiecki and Raymo,
2005) as shown in Fig S3. Data are available in Tables S2 and S3. Red line in
the T <inline-formula><mml:math id="M126" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> M ratio is a LOWESS (locally weighted scatter plot
smoothing) function with span 0.1.</p></caption>
          <?xmltex \igopts{width=497.923228pt}?><graphic xlink:href="https://cp.copernicus.org/articles/14/397/2018/cp-14-397-2018-f03.pdf"/>

        </fig>

      <p id="d1e1781">The lowest TOC contents are reached in the clay intervals and typically
range between 0.5 % in glacials and 1 % in interglacials (Fig. 3).
Nitrogen concentrations are relatively stable, resulting in C <inline-formula><mml:math id="M127" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> N ratios
primarily determined by organic carbon content, ranging between
<inline-formula><mml:math id="M128" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 8 and 9 (glacials) and <inline-formula><mml:math id="M129" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 14 and 17
(interglacials). The carbon preference index (CPI) is generally high,
reflecting a continuous input of immature terrestrial organic matter.
Minimum CPI values of <inline-formula><mml:math id="M130" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 2.8–2.9 are reached at the
transitions from the coarser sediments to the clay intervals, after which
they increase to maxima of 4.5–5.0 in the late interglacials. The
<inline-formula><mml:math id="M131" display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>-</mml:mo></mml:mrow></mml:math></inline-formula>C<inline-formula><mml:math id="M132" display="inline"><mml:msub><mml:mi/><mml:mrow><mml:mn mathvariant="normal">23</mml:mn><mml:mo>+</mml:mo><mml:mn mathvariant="normal">25</mml:mn></mml:mrow></mml:msub></mml:math></inline-formula> <italic>Sphagnum</italic> biomarker correlates consistently with the T <inline-formula><mml:math id="M133" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> M ratio, % AP,
and cold-water dinocysts (Fig. 3), while the variation in the CPI index is
partially out of phase; it is more gradual and lags the % TOC and other
signals. Generally lower BIT index
values during interglacials (Fig. 3) indicate more marine conditions, i.e.,
larger distance to the coast and relatively reduced terrestrial input from
the Eridanos catchment (see Sinninghe Damsté, 2016). As both brGDGT
input (runoff, soil exposure, and erosion) and sea level (distance to the
coast) vary across G–IG timescales, for example during deglaciation and
subsequent reactivation of fluvial transport (Bogaart and van Balen, 2000),
the variability in the BIT index is somewhat different compared to the T <inline-formula><mml:math id="M134" display="inline"><mml:mo>/<?pagebreak page404?></mml:mo></mml:math></inline-formula> M
palynomorph ratio (Fig. 3), but is generally in phase with gradual
transitions along G–IG cycles. The MAT<inline-formula><mml:math id="M135" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">mr</mml:mi></mml:msub></mml:math></inline-formula>-based temperature
reconstructions vary between 5 and 17 <inline-formula><mml:math id="M136" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C, reaching maximum values
in MIS 97. However, in the MIS 99 <inline-formula><mml:math id="M137" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> 98 and MIS 96 <inline-formula><mml:math id="M138" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> 95 transitions the
MAT<inline-formula><mml:math id="M139" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">mr</mml:mi></mml:msub></mml:math></inline-formula> shows variability opposite to the identified G–IG cycles and the
signal contains a lot of high-order variability. Low values during interglacials
generally coincide with low CBT'-reconstructed soil pH of <inline-formula><mml:math id="M140" display="inline"><mml:mi mathvariant="italic">&lt;</mml:mi></mml:math></inline-formula> 6.0
(Fig. 3).</p>
</sec>
</sec>
<sec id="Ch1.S6">
  <label>6</label><title>Discussion</title>
<sec id="Ch1.S6.SS1">
  <label>6.1</label><title>Paleoenvironmental setting and climate signals</title>
      <p id="d1e1919">The source area study by Kuhlmann et al. (2004) indicated the Eridanos
paleoriver as the principal source of the terrestrial deposits. The detailed
seismic interpretations indeed show the advancing Eridanos delta front from
the east toward the sites, especially between 2.44 and 2.34 Ma (Fig. S1).
This trend is captured by the long-term increases in the T <inline-formula><mml:math id="M141" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> M ratio and
the proportion of coastal dinocysts (Fig. 3). Bisaccate pollen is the
component most sensitive to differential transport processes, yet regardless
of whether it is included in the T <inline-formula><mml:math id="M142" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> M index (Fig. S5 in the Supplement)
the same patterns are recorded, indicating no direct influence of
differential transport on the T <inline-formula><mml:math id="M143" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> M ratio in this dataset. During MIS
103, 99, 97, 95, and 93 the percentage of AP increases indicate generally warmer and more
humid conditions than during MIS 102, 98, 96, and 94 (Fig. 3). The cold-water
temperature signal based on dinocysts is more variable than the terrestrial
cooling signals from the percentage of AP. Pollen assemblages represent mean standing
vegetation in the catchment and also depend on dominant circulation patterns
and short-term climate variations (Donders et al., 2009). Due to<?pagebreak page405?> exclusion of
bisaccate pollen, the percentage of AP is generally low but eliminates any climate signal
bias due to the direct effect of sea level changes (Donders et al., 2009;
Kotthoff et al., 2014). In the record there are small but significant time
lags between proxies, which have important implications for explaining the
forcing of G–IG cycles. In the best-constrained MIS transition (98 to 97),
the G–IG transition is seen first in decreases of the cold-water dinocysts
and <inline-formula><mml:math id="M144" display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>-C<inline-formula><mml:math id="M145" display="inline"><mml:msub><mml:mi/><mml:mrow><mml:mn mathvariant="normal">23</mml:mn><mml:mo>+</mml:mo><mml:mn mathvariant="normal">25</mml:mn></mml:mrow></mml:msub></mml:math></inline-formula> <inline-formula><mml:math id="M146" display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>-alkanes predominantly derived from <italic>Sphagnum</italic>.
Subsequently, the BIT decreases, and MAT<inline-formula><mml:math id="M147" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">mr</mml:mi></mml:msub></mml:math></inline-formula> and the percentage of AP increase,
and finally the <inline-formula><mml:math id="M148" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O<inline-formula><mml:math id="M149" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">b</mml:mi></mml:msub></mml:math></inline-formula> and T <inline-formula><mml:math id="M150" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> M ratio decrease with a lag
of a few thousand years (Fig. 3). Changes in the CPI record are more gradual
but are generally in line with T <inline-formula><mml:math id="M151" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> M. The percentage of AP and T <inline-formula><mml:math id="M152" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> M proxies have the
most extensive record, and detailed analysis of several G–IG
transitions shows that the declines in percentage of AP consistently lead the T <inline-formula><mml:math id="M153" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> M
increases by 3–8 kyr based on the present age model (Fig. S2). The
T <inline-formula><mml:math id="M154" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> M ratio variability corresponds well to the LR04 benthic stack
(Fig. 3), which is primarily an obliquity signal. Within the constraints of
the sample availability, our record captures the approximate symmetry between
glaciation and deglaciation typical of the early Pleistocene (Lisiecki and
Raymo, 2005).</p>
      <p id="d1e2040">The high variability and strongly depleted values in <inline-formula><mml:math id="M155" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O<inline-formula><mml:math id="M156" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">b</mml:mi></mml:msub></mml:math></inline-formula>
during MIS 95 occur during peak coastal dinocyst abundances, suggesting
high runoff during maximum warming phases. During cold-water dinocyst
maxima, the high abundance of Protoperidinioids indicates high nutrient
input and productive spring–summer blooms, which point to strong seasonal
temperature variations. This productivity signal markedly weakens in MIS 94
and 92 and the gradual T <inline-formula><mml:math id="M157" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> M increase is consistent with the basin infill and
gradually approaching shelf-edge delta (Fig. S1). As Protoperidinioid minima
generally occur during TOC maxima there is no indication for a preservation
overprint since selective degradation typically lowers relative abundances
of these P cysts (Gray et al., 2017). Combined, the high TOC and CPI values,
coastal and stratified water conditions, and intervals of depleted <inline-formula><mml:math id="M158" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O<inline-formula><mml:math id="M159" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">b</mml:mi></mml:msub></mml:math></inline-formula> document increased Eridanos runoff during interglacials.
These suggest a primarily terrestrial organic matter source that, based on
mineral provenance studies (Kuhlmann et al., 2004) and high conifer pollen
abundance documented here, likely originated from the Fennoscandian Shield.
The finely grained material during cold phases is probably transported by
meltwater during summer from local glaciers that have developed since the late
Pliocene at the surrounding Scandinavian mainland (Mangerud et al., 1996;
Kuhlmann et al., 2004).</p>
</sec>
<sec id="Ch1.S6.SS2">
  <label>6.2</label><title>Temperature reconstruction and brGDGT input</title>
      <p id="d1e2098">Whereas the BIT index reflects the G–IG cycles consistently, the
MAT<inline-formula><mml:math id="M160" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">mr</mml:mi></mml:msub></mml:math></inline-formula> record, which is based on GDGTs, has a variable phase
relation with the G–IG cycles and high variability. The use of
MAT<inline-formula><mml:math id="M161" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">mr</mml:mi></mml:msub></mml:math></inline-formula> in coastal marine sediments is based on the assumption that
river-deposited brGDGTs reflect an integrated signal of the catchment area.
As the Eridanos system is reactivated following glacials, glacial soils
containing brGDGT are likely eroded, causing a mixed signal of glacial and
interglacial material. The lowest MAT<inline-formula><mml:math id="M162" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">mr</mml:mi></mml:msub></mml:math></inline-formula> and highest variability
is indeed observed during periods of deposition of sediments with a higher
TOC content and minima of CBT'-derived pH below 6 (Fig. 3), consistent with
increased erosion of acidic glacial (peat) soil. Additional analysis of the
apolar fractions in part of the samples reveals a
relatively high abundance of the C<inline-formula><mml:math id="M163" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">31</mml:mn></mml:msub></mml:math></inline-formula> 17<inline-formula><mml:math id="M164" display="inline"><mml:mi mathvariant="italic">α</mml:mi></mml:math></inline-formula>, 21<inline-formula><mml:math id="M165" display="inline"><mml:mi mathvariant="italic">β</mml:mi></mml:math></inline-formula>-homohopanes during these periods,
which in immature soils indicates a significant input of acidic peat (Pancost
et al., 2003). This suggests that the variability in the MAT<inline-formula><mml:math id="M166" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">mr</mml:mi></mml:msub></mml:math></inline-formula>
record is not fully reliable due to (variable) erosion of glacial soils or
peats. Alternatively, the terrestrial brGDGT signal may be altered by a
contribution of brGDGTs produced in the marine realm. BrGDGTs were initially
believed to be solely produced in soils, but emerging evidence suggests that
brGDGTs are also produced in the river itself (e.g., Zell et al., 2013; De
Jonge et al., 2014b) and in the coastal marine sediments (e.g., Peterse et
al., 2009; Sinninghe Damsté, 2016). Based on the modern system, the degree
of cyclization of tetramethylated brGDGTs (#rings<inline-formula><mml:math id="M167" display="inline"><mml:mrow><mml:msub><mml:mi/><mml:mi mathvariant="normal">tetra</mml:mi></mml:msub><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> has been
proposed to identify a possible in situ overprint (Sinninghe Damsté,
2016). The #rings<inline-formula><mml:math id="M168" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">tetra</mml:mi></mml:msub></mml:math></inline-formula> in this sediment core is <inline-formula><mml:math id="M169" display="inline"><mml:mrow><mml:mi mathvariant="italic">&lt;</mml:mi><mml:mn mathvariant="normal">0.37</mml:mn></mml:mrow></mml:math></inline-formula>,
which is well below the suggested threshold of 0.7, and thus suggests that
the brGDGTs are primarily soil derived. However, a ternary diagram of the
brGDGT distribution shows some offset to the global soil calibration that
decreases with increasing BIT values (Fig. S6 in the Supplement), pointing to
some influence of in situ GDGT production when terrestrial input is
relatively low. Finally, selective preservation in the catchment and during
fluvial transport may have affected the brGDGT signal, although experimental
evidence on fluvial transport processes indicates that these do not
significantly affect initial soil-brGDGT compositions (Peterse et al., 2015).</p>
</sec>
<sec id="Ch1.S6.SS3">
  <label>6.3</label><title>Implications for the intensification of Northern Hemisphere glaciations</title>
      <?pagebreak page406?><p id="d1e2200">The classic Milankovitch model predicts that global ice volume is forced by
high northern summer insolation (e.g., Hays et al., 1976). Raymo et
al. (2006) suggested an opposite response of ice sheets in both hemispheres
due to precession forcing, canceling out the signal and amplifying obliquity
in the early Pleistocene. That hypothesis predicts that regional climate
records for both hemispheres should contain a precession component that is
not visible in the sea level and deep-sea <inline-formula><mml:math id="M170" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O<inline-formula><mml:math id="M171" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">b</mml:mi></mml:msub></mml:math></inline-formula> record
and is supported by evidence from Laurentide Ice Sheet melt and iceberg-rafted debris of the East Antarctic ice sheet
(Patterson et al., 2014; Shakun et al., 2016). Alternatively, a dominantly
obliquity-forced G–IG cycle is supported by a significant temperature
component in the deep-sea <inline-formula><mml:math id="M172" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O<inline-formula><mml:math id="M173" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">b</mml:mi></mml:msub></mml:math></inline-formula> temperature record
(Sosdian and Rosenthal, 2009) and dominant 41 kyr variability in North
American biomarker dust fluxes. Our results show that the regional NH climate
on both land and sea surface vary on the same timescale as the local relative
sea level, which, with the best possible age information so far (Fig. S3),
mirrors the global LR04 <inline-formula><mml:math id="M174" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O<inline-formula><mml:math id="M175" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">b</mml:mi></mml:msub></mml:math></inline-formula> record. The temperature
changes lead the local sea level by 3–8 kyr, which is consistent with a NH
obliquity forcing scenario as cooling would precede ice buildup and sea level
change. Contrary to the model proposed by Raymo et al. (2006), this suggests
that the NH obliquity forcing is the primary driver for the G–IG in the
early Pleistocene, although we cannot exclude precession forcing as a
contributing factor. Various
studies indicate the importance of gradual CO<inline-formula><mml:math id="M176" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> decline in the
intensification of NHG (Kürschner et al., 1996; Seki et al., 2010;
Bartoli et al., 2011) combined with the threshold effects of ice albedo
(Lawrence et al., 2010; Etourneau et al., 2010) and land cover changes
(Koenig et al., 2011). Simulations of four coupled 3-D ice models indicate
that Antarctic ice volume increases respond primarily to sea level lowering,
while Eurasian and North American ice sheet growth is initiated by
temperature decrease (de Boer et al., 2012). The latter dominate the eustatic
sea level variations during glacials. Our observations agree with the modeled
temperature sensitivity of NH ice sheet growth. The dominant obliquity signal
further suggests a seasonal aspect of the climate forcing. The combination of
high summer productivity, based on increased Protoperidinioid dinocysts, and
increased proportions of cold dinocysts during the glacials in the SNS record
indicate a strong seasonal cycle. This confirms similar results from the
North Atlantic (Hennissen et al., 2015) and is consistent with an
obliquity-driven G–IG signal in a midlatitudinal setting, likely promoting
meridional humidity transport and ice buildup.</p>
      <p id="d1e2273">The southward migration of Arctic surface water masses indicated by increases
in cold-water dinocysts (Fig. 3) is furthermore relevant for understanding
the relation between the Atlantic meridional overturning circulation (AMOC)
intensity and ice sheet growth (e.g., Bartoli et al., 2005; Naafs et al., 2010). Mid-Pliocene increased heat transport and
subsequent decrease during NHG due to AMOC intensity changes has been invoked
from many proxy records but is difficult to sustain in models (Zhang et al.,
2013). Our results indicate that the NW European early Pleistocene climate
experienced significant cooling in all temperature-sensitive proxies during
sea level lowstands, which is consistent with southward displacement of the
Arctic front and decreased AMOC (Naafs et al., 2010). The MAT<inline-formula><mml:math id="M177" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">mr</mml:mi></mml:msub></mml:math></inline-formula>
indicates a 4–6 <inline-formula><mml:math id="M178" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C G–IG amplitude, although the
timing is offset relative to the other proxies. The data–model mismatch in
AMOC changes might be due to dynamic feedbacks in vegetation or (sea) ice
(Koenig et al., 2011; de Boer et al., 2012) that are prescribed variables in
the model comparison by Zhang et al. (2013).</p>
      <p id="d1e2294">In addition, our SNS record provides a well-dated early Pleistocene
G–IG succession integrating marine and terrestrial signals
improving on the classic terrestrial Praetiglian stage. While conceptually
valid, the earliest Pleistocene glacial stages defined in the continental
succession of the SE Netherlands (Van der Vlerk and Florschütz, 1953;
Zagwijn, 1960) and currently considered textbook knowledge are highly
incomplete and locally varied (Donders et al., 2007). This shallow marine
SNS record provides a much more suitable reflection of large-scale
transitions and trends in NW Europe and merits further development by
complete recovery of the sequence in a scientific drilling project
(Westerhoff et al., 2016).</p>
</sec>
</sec>
<sec id="Ch1.S7" sec-type="conclusions">
  <label>7</label><title>Conclusions</title>
      <p id="d1e2306">The independently dated late Pliocene–early Pleistocene sedimentary
succession of the southern North Sea Basin provides a record that straddles
the intensification of Northern Hemisphere glaciation and the subsequent
climate fluctuations in a shallow marine setting in great detail. The
intensification of the glaciation and the correlation to Marine Isotope
Stages 103 to 92, including the conspicuous first Pleistocene glacial stages
98, 96, and 94, is well expressed in the marine and terrestrial palynomorph
and organic biomarker records of the southern North Sea. The independent
relative sea- and land-based temperature records show clearly coeval (at
this resolution) expression of glacial–interglacial and sea level cycles
that are well correlated to the LR04 benthic stack. Critically, both the
biomarker signals, percentage of AP, and cold-water dinocyst variations show
consistent in-phase variability on obliquity timescales, leading sea level
changes by 3–8 kyr, which supports a dominantly direct NH insolation control
over early Pleistocene glaciations. Based on this integrated record, NH
obliquity forcing is the primary driver for the glacial–interglacial cycles
in the early Pleistocene. Furthermore, our findings support the hypothesis
of temperature sensitivity of NH ice sheet growth. The interglacials are
characterized by (seasonally) stratified waters and/or near-shore conditions
as glacial–interglacial cycles became more expressive and the Eridanos delta
progressed into the region. The strong seasonality at midlatitudes points to
a vigorous hydrological cycling that should be considered as a potential
factor in ice sheet formation in further investigations.</p>
</sec>

      
      </body>
    <back><notes notes-type="dataavailability"><title>Data availability</title>

      <p id="d1e2313">All original data of this publication are available in the
Supplement Tables S2 and S3.</p>
  </notes><app-group>
        <supplementary-material position="anchor"><p id="d1e2316">The supplement related to this article is available online at: <inline-supplementary-material xlink:href="https://doi.org/10.5194/cp-14-397-2018-supplement" xlink:title="zip">https://doi.org/10.5194/cp-14-397-2018-supplement</inline-supplementary-material>.</p></supplementary-material>
        </app-group><notes notes-type="authorcontribution"><title>Author contributions</title>

      <p id="d1e2325">THD, HB, and GK designed the research. NAGMvH carried out the geochemical
analyses under supervision of JWHW, GJR, FP, and JSSD. RV, DM, and THD carried
out the palynological analyses and interpreted the data together with FS.<?pagebreak page407?> LL
and RPS provided stable isotope data on benthic foraminifera. JtV provided
seismic interpretations. THD integrated the data and wrote the paper with
contributions from all authors.</p>
  </notes><notes notes-type="competinginterests"><title>Competing interests</title>

      <p id="d1e2331">Part of the palynological analyses, aimed construction of a
regional stratigraphical model, were financed by Chevron Exploration and
Production Netherlands B.V., Total E&amp;P Nederland B.V., Dana Petroleum
Netherlands B.V., Oranje-Nassau Energie B.V., and Energie Beheer Nederland
(EBN). The results and conclusions of the present study were by no means
influenced by these companies.</p>
  </notes><ack><title>Acknowledgements</title><p id="d1e2337">We are grateful for the constructive comments of Stijn de Schepper and David
Naafs and an anonymous referee that helped to improve the paper. We
gratefully acknowledge the support in providing the offshore samples to this
study and permission to publish from Wintershall Noordzee B.V. and project
support from partners Chevron Exploration and Production Netherlands B.V.,
Total E&amp;P Nederland B.V., Dana Petroleum Netherlands B.V., Oranje-Nassau
Energie B.V., and Energie Beheer Nederland (EBN). Arnold van Dijk is thanked
for running C <inline-formula><mml:math id="M179" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> N and stable isotope analyses and Giovanni Dammers for
processing palynological samples. The work was partly supported by funding
from the Netherlands Earth System Science Center (NESSC) through a
gravitation grant (NWO 024.002.001) from the Dutch Ministry for Education,
Culture, and Science to Jaap S. Sinninghe Damsté, Gert-Jan Reichart,
and Lucas Lourens.<?xmltex \hack{\newline}?><?xmltex \hack{\newline}?>
Edited by: Erin McClymont<?xmltex \hack{\newline}?>
Reviewed by: Stijn De Schepper, David Naafs, <?xmltex \hack{\newline}?>and one anonymous referee</p></ack><ref-list>
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<abstract-html><p>We assess the disputed phase relations between forcing and
climatic response in the early Pleistocene with a spliced Gelasian
( ∼ 2.6–1.8&thinsp;Ma) multi-proxy record from the southern North
Sea basin. The cored sections couple climate evolution on both land and sea
during the intensification of Northern Hemisphere glaciation (NHG) in NW
Europe, providing the first well-constrained stratigraphic sequence of the
classic terrestrial Praetiglian stage. Terrestrial signals were derived from
the Eridanos paleoriver, a major fluvial system that contributed a large
amount of freshwater to the northeast Atlantic. Due to its latitudinal
position, the Eridanos catchment was likely affected by early Pleistocene
NHG, leading to intermittent shutdown and reactivation of river flow and
sediment transport. Here we apply organic geochemistry, palynology, carbonate
isotope geochemistry, and seismostratigraphy to document both vegetation
changes in the Eridanos catchment and regional surface water conditions and
relate them to early Pleistocene glacial–interglacial cycles and relative
sea level changes. Paleomagnetic and palynological data provide a solid
integrated timeframe that ties the obliquity cycles, expressed in the
borehole geophysical logs, to Marine Isotope Stages (MIS) 103 to 92,
independently confirmed by a local benthic oxygen isotope record. Marine and
terrestrial palynological and organic geochemical records provide high-resolution reconstructions of relative terrestrial and sea surface
temperature (TT and SST), vegetation, relative sea level, and coastal
influence.</p><p>During the prominent cold stages MIS 98 and 96, as well as 94, the record
indicates increased non-arboreal vegetation, low SST and TT, and low
relative sea level. During the warm stages MIS 99, 97, and 95 we infer
increased stratification of the water column together with a higher
percentage of
arboreal vegetation, high SST, and relative sea level maxima. The early
Pleistocene distinct warm–cold alterations are synchronous between land and
sea, but lead the relative sea level change by 3000–8000 years. The
record provides evidence for a dominantly Northern Hemisphere-driven cooling that leads the
glacial buildup and varies on the obliquity timescale. Southward migration of
Arctic surface water masses during glacials, indicated by cool-water
dinoflagellate cyst assemblages, is furthermore relevant for the discussion
on the relation between the intensity of the Atlantic meridional overturning
circulation and ice sheet growth.</p></abstract-html>
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