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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-15-3975-2018</article-id><title-group><article-title>A 1500-year multiproxy record of coastal hypoxia from the northern Baltic
Sea indicates unprecedented deoxygenation over<?xmltex \hack{\break}?> the 20th century</article-title><alt-title>A 1500-year multiproxy record of coastal hypoxia from the
northern Baltic Sea</alt-title>
      </title-group><?xmltex \runningtitle{A 1500-year multiproxy record of coastal hypoxia from the
northern Baltic Sea}?><?xmltex \runningauthor{S. A. Jokinen et al.}?>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes" rid="aff1">
          <name><surname>Jokinen</surname><given-names>Sami A.</given-names></name>
          <email>sami.jokinen@utu.fi</email>
        <ext-link>https://orcid.org/0000-0002-9499-9155</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2">
          <name><surname>Virtasalo</surname><given-names>Joonas J.</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-9712-3642</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff3">
          <name><surname>Jilbert</surname><given-names>Tom</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff4">
          <name><surname>Kaiser</surname><given-names>Jérôme</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-0290-9088</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff4">
          <name><surname>Dellwig</surname><given-names>Olaf</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff4">
          <name><surname>Arz</surname><given-names>Helge W.</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff5">
          <name><surname>Hänninen</surname><given-names>Jari</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff6">
          <name><surname>Arppe</surname><given-names>Laura</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff7">
          <name><surname>Collander</surname><given-names>Miia</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Saarinen</surname><given-names>Timo</given-names></name>
          
        </contrib>
        <aff id="aff1"><label>1</label><institution>Department of Geography and Geology, University of Turku, 20014 Turku,
Finland</institution>
        </aff>
        <aff id="aff2"><label>2</label><institution>Marine Geology, Geological Survey of Finland (GTK), P.O. Box 96, 02151
Espoo, Finland</institution>
        </aff>
        <aff id="aff3"><label>3</label><institution>Department of Environmental Sciences, University of Helsinki, P.O. Box
65, 00014 Helsinki, Finland</institution>
        </aff>
        <aff id="aff4"><label>4</label><institution>Leibniz Institute for Baltic Sea Research Warnemünde (IOW),
Seestrasse 15, 18119 Rostock, Germany</institution>
        </aff>
        <aff id="aff5"><label>5</label><institution>Archipelago Research Institute, University of Turku, 20014 Turku,
Finland</institution>
        </aff>
        <aff id="aff6"><label>6</label><institution>Finnish Museum of Natural History, University of Helsinki, P.O. Box
64, 00014 Helsinki, Finland</institution>
        </aff>
        <aff id="aff7"><label>7</label><institution>Department of Food and Environmental Sciences, University of Helsinki,
P.O. Box 66, 00014 Helsinki, Finland</institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">Sami A. Jokinen (sami.jokinen@utu.fi)</corresp></author-notes><pub-date><day>5</day><month>July</month><year>2018</year></pub-date>
      
      <volume>15</volume>
      <issue>13</issue>
      <fpage>3975</fpage><lpage>4001</lpage>
      <history>
        <date date-type="received"><day>12</day><month>January</month><year>2018</year></date>
           <date date-type="rev-request"><day>16</day><month>January</month><year>2018</year></date>
           <date date-type="rev-recd"><day>1</day><month>June</month><year>2018</year></date>
           <date date-type="accepted"><day>6</day><month>June</month><year>2018</year></date>
      </history>
      <permissions>
        
        
      <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://bg.copernicus.org/articles/15/3975/2018/bg-15-3975-2018.html">This article is available from https://bg.copernicus.org/articles/15/3975/2018/bg-15-3975-2018.html</self-uri><self-uri xlink:href="https://bg.copernicus.org/articles/15/3975/2018/bg-15-3975-2018.pdf">The full text article is available as a PDF file from https://bg.copernicus.org/articles/15/3975/2018/bg-15-3975-2018.pdf</self-uri>
      <abstract>
    <p id="d1e206">The anthropogenically forced expansion of coastal hypoxia is a
major environmental problem affecting coastal ecosystems and biogeochemical
cycles throughout the world. The Baltic Sea is a semi-enclosed shelf sea
whose central deep basins have been highly prone to deoxygenation during its
Holocene history, as shown previously by numerous paleoenvironmental studies.
However, long-term data on past fluctuations in the intensity of hypoxia in
the coastal zone of the Baltic Sea are largely lacking, despite the
significant role of these areas in retaining nutrients derived from the
catchment. Here we present a 1500-year multiproxy record of near-bottom water
redox changes from the coastal zone of the northern Baltic Sea, encompassing
the climatic phases of the Medieval Climate Anomaly (MCA), the Little Ice Age
(LIA), and the Modern Warm Period (MoWP). Our reconstruction shows that
although multicentennial climate variability has modulated the depositional
conditions and delivery of organic matter (OM) to the basin the modern
aggravation of coastal hypoxia is unprecedented and, in addition to gradual changes
in the basin configuration, it must have been forced by excess human-induced
nutrient loading. Alongside the anthropogenic nutrient input, the progressive
deoxygenation since the beginning of the 1900s was fueled by the combined
effects of gradual shoaling of the basin and warming climate, which amplified
sediment focusing and increased the vulnerability to hypoxia. Importantly,
the eutrophication of coastal waters in our study area began decades earlier
than previously thought, leading to a marked aggravation of hypoxia in the
1950s. We find no evidence of similar anthropogenic forcing during the MCA.
These results have implications for the assessment of reference conditions
for coastal water quality. Furthermore, this study highlights the need for
combined use of sedimentological, ichnological, and geochemical proxies in
order to robustly reconstruct subtle redox shifts especially in dynamic,
non-euxinic coastal settings with strong seasonal contrasts in the bottom
water quality.</p>
  </abstract>
    </article-meta>
  </front>
<body>
      

<sec id="Ch1.S1" sec-type="intro">
  <title>Introduction</title>
      <p id="d1e216">The expansion of hypoxic dead zones is an ongoing global problem both in the
marine realm (Diaz and Rosenberg, 2008; Vaquer-Sunyer and Duarte, 2008;
Gooday et al., 2009; Rabalais et al., 2010, 2014) and in lacustrine
settings (Jenny et al., 2016a, b). Bottom water oxygen depletion
(&lt; 2 mg L<inline-formula><mml:math id="M1" 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> dissolved oxygen), caused by the combined effects
of water column stratification and excess delivery of organic matter (OM) to
the seafloor, deteriorates benthic ecosystems (Levin et al., 2009) and often
triggers harmful algal blooms (Zhang<?pagebreak page3976?> et al., 2010) due to the impact of
hypoxia on biogeochemical cycles at the sediment–water interface (Middelburg
and Levin, 2009). Upon bottom water deoxygenation, phosphorus (P) is released
efficiently to the water column from surface sediments, fueling further
primary productivity and dinitrogen (<inline-formula><mml:math id="M2" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">N</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>) fixation by diazotrophic
cyanobacteria, thus triggering a self-sustaining positive feedback mechanism
commonly associated with eutrophication (Vahtera et al., 2007). In addition,
the ability of benthic ecosystems to remove nitrogen via denitrification and
anaerobic ammonium oxidation may be reduced upon repeated or prolonged
exposure to bottom water hypoxia (Conley et al., 2009a; Middelburg and Levin,
2009; Carstensen et al., 2014b). Due to these internal feedback mechanisms,
recovery from hypoxia is often slow, hampering management of the problem
through reductions in external nutrient loading (Vahtera et al., 2007).
Furthermore, global warming is likely to exacerbate the spreading of hypoxia
in many regions through enhanced nutrient inputs (linked to increased
precipitation and discharge), decreased solubility of oxygen due to increased
temperature, and acceleration of internal nutrient cycling (Meier et al.,
2011; Meire et al., 2013).</p>
      <p id="d1e242">Over the past century, the Baltic Sea has seen a marked expansion of benthic
hypoxia (Jonsson et al., 1990; Conley et al., 2011; Carstensen et al.,
2014a), and the Baltic Sea dead zone is often referred to as the largest
anthropogenically induced hypoxic marine area in the world (Diaz and
Rosenberg, 2008). Yet, although long-term trends in the expansion of hypoxia
in offshore areas of the Baltic Sea have been widely studied, little is known
about the past evolution of hypoxia in the shallow coastal areas, where
episodic or seasonal oxygen deficiency is forced by thermal rather than
salinity stratification (Virtasalo et al., 2005; Conley et al., 2011).
Importantly, these coastal areas act as a filter for nutrients received from
the catchment (Asmala et al., 2017). Thus, changes in biogeochemical cycles
in coastal sediments may have an impact on nutrient transport to offshore areas of
the Baltic Sea (Almroth-Rosell et al., 2016). Elucidating fluctuations in
coastal hypoxia will aid in the understanding of the efficiency of the coastal
filter and is therefore vital for understanding the expansion of hypoxia in
the entire Baltic Sea. Indeed, it is still debated whether the decisive
factor triggering the hypoxic event during the Medieval Climate Anomaly (MCA,
900–1350 AD) in the Baltic Proper was intensified land use in the catchment
(Zillén and Conley, 2010) or anomalously warm climate (Kabel et al.,
2012; Papadomanolaki et al., 2018).</p>
      <p id="d1e245">In this study, we present a multiproxy reconstruction of the development of
hypoxia in an enclosed coastal setting in the Finnish Archipelago Sea
(northern Baltic Sea) over the past 1500 years, covering the known climatic
oscillations of the MCA, the Little Ice Age (LIA, 1350–1850 AD), and the
Modern Warm Period (MoWP, after 1850 AD) in order to assess how the coastal
zone responds to centennial–millennial climate variability and potential past
inputs of nutrients from the catchment areas. We use diverse bulk sediment
geochemical proxies in combination with integrated sedimentological and
ichnological analyses to elucidate temporal changes in the intensity of
near-bottom water oxygen deficiency. In order to constrain the drivers behind
the observed oxygenation changes, we assess past fluctuations in hydrodynamic
conditions at the study site, and in the delivery of OM, and compare these
with the past climate variability and changes in the anthropogenic nutrient
loading from the catchment.</p>
</sec>
<sec id="Ch1.S2">
  <title>Study location</title>
      <p id="d1e254">The Baltic Sea is a shallow (mean depth 54 m) semi-enclosed basin located on
a continental shelf (Fig. 1a) between maritime temperate and continental
sub-Arctic climate zones. Climatic conditions in the area are largely
modulated by the North Atlantic Oscillation (NAO) as well as the summer low
and winter high over Eurasia (e.g., Rutgersson et al., 2014). Winter mean air
temperature ranges from <inline-formula><mml:math id="M3" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">12</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M4" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C in the north to 0 <inline-formula><mml:math id="M5" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C in
the south, whereas summer mean temperature has a narrower range of
14–17 <inline-formula><mml:math id="M6" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C. The sea is essentially non-tidal, but irregular
variations in wind and atmospheric pressure modulate the water level with
a maximum amplitude of 2 m.</p>
      <p id="d1e294">Surface salinity exhibits an increasing trend from north to south, from 3–5
in the Gulf of Finland and Gulf of Bothnia to 8–10 in the southern Baltic
(Leppäranta and Myrberg, 2009). This horizontal salinity gradient results
from combined effects of high riverine freshwater input in the north and
occasional inflows of saline water from the North Sea through the Danish
straits in the south. The contrasting density of these two water masses leads
to the formation of a strong 10–20 m thick pycnocline, which lies at a depth of
40–80 m depending on the sub-basin (Leppäranta and Myrberg, 2009).
Irregular saline inflow events from the North Sea occasionally ventilate the
deep stagnant bottom waters of the Baltic Proper, but this oxygen is readily
exhausted with a net effect of stronger stratification and possibly even more
severe oxygen depletion (Conley et al., 2002; Carstensen et al., 2014a).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F1" specific-use="star"><caption><p id="d1e299">Maps of the study area. <bold>(a)</bold> Bathymetric map of the Baltic Sea. The
abbreviations for the indicated sub-basins are as follows: BB, Bothnian
Bay; BS, Bothnian Sea; AS, Archipelago Sea; GF, Gulf of Finland.
Locations of the varved lakes used for the correlation of the pollution Pb
profiles are also shown. <bold>(b)</bold> Inset map of the study location. White dashed
line indicates the 5 m contour line that roughly corresponds to the
paleoshoreline at <inline-formula><mml:math id="M7" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 760 AD.</p></caption>
        <?xmltex \igopts{width=369.885827pt}?><graphic xlink:href="https://bg.copernicus.org/articles/15/3975/2018/bg-15-3975-2018-f01.pdf"/>

      </fig>

      <p id="d1e321">The Archipelago Sea, located in the southwestern coastal area of Finland in
the northern Baltic Sea (Fig. 1a), is a mosaic of thousands of islands and
small bays within an area of <inline-formula><mml:math id="M8" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 8000 km<inline-formula><mml:math id="M9" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:math></inline-formula>. Salinity in the area
ranges from 5 to 7, increasing towards the open sea. Mean water depth is only
23 m, although some depths reach
over 100 m. The length of the ice season is 3–4.5 months (Seinä, 1994),
but a current decreasing trend of 46 days per century has been reported
(Ronkainen, 2013). The rate of the present glacio-isostatic uplift is
3–4 mm per year (Mäkinen and Saaranen, 1998), which exposes previously
deposited sediments to wave erosion and modulates hydrographic conditions in
the area.</p>
      <p id="d1e341">The complex topography of the Archipelago Sea results in restricted water
exchange between the inner archipelago and the open-sea areas (Mälkki et
al., 1979), and numerous small<?pagebreak page3977?> basins with contrasting bottom water
conditions exist in close proximity (Virtasalo et al., 2005). Water exchange
in the area mostly occurs through deep straits following the fault-lines of
the crystalline bedrock, which are mostly aligned in a north–south
direction. In enclosed basins, a strong thermocline impedes mixing of
dissolved oxygen to the bottom waters during summer, which together with
high delivery of reactive OM to the seafloor commonly results in seasonal
hypoxia (Virtasalo et al., 2005; Jokinen et al., 2015). Mixing of the water
column through thermal convection takes place in spring and autumn due to
the lack of a permanent halocline (Leppäranta and Myrberg, 2009).</p>
      <p id="d1e344">The sediment fill of the Archipelago Sea since the deglacial to present
comprises a succession of ice-proximal tills and outwash, glaciolacustrine
rhythmites, patchily distributed debrites, postglacial lacustrine clays, and
brackish-water mud drifts (Virtasalo et al., 2007, 2014). The study area was
deglaciated at <inline-formula><mml:math id="M10" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 11 400 cal BP (Stroeven et al., 2016), which led
to freshwater conditions in the area (Tuovinen et al., 2008). By
<inline-formula><mml:math id="M11" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 7600 cal BP, the eustatic ocean-level rise surpassed the
glacio-isostatic rebound rate and the Danish straits became inundated,
resulting in marine flooding of the Baltic Sea basin and consequent
salinization of the Archipelago Sea (Tuovinen et al., 2008). Since then,
sedimentation in the Archipelago Sea has been characterized by wave and
current modulated deposition of brackish-water mud drifts with laminated
intervals and local unconformities (Virtasalo et al., 2007).</p>
      <p id="d1e361">Haverö is a small, extremely enclosed basin in the middle of the
Archipelago Sea (Fig. 1). The Proterozoic bedrock surface in the area is
dominated by microcline granites, with small patches of gneisses,
amphibolite, and granodiorite (Bedrock
of Finland, DigiKP). Due to the relatively high elevation of the surrounding
islands, Quaternary deposits have been largely removed by erosion after the
islands were uplifted above the wave base (Maankamara, DigiKP). The distance
to the mouths of the largest rivers in the area, Aurajoki River and
Paimionjoki River, is 25 and 38 km, respectively. A small brook drains into
the basin from a lake located on the Haverö island. Sedimentation in the
Haverö basin is dominated by reworking of previously deposited late- and
postglacial clays and organic-rich brackish-water muds during autumn and
winter, and by rapid settling of organic-rich aggregates during spring and
summer (Jokinen et al., 2015). This seasonal contrast in the sedimentation,
accompanied by severe seasonal hypoxia and consequent deterioration of
macrobenthic fauna, has enabled the formation and preservation of annual
laminations (varves) over the past decades (Jokinen et al., 2015). Population
around Haverö is sparse, and the dominant direct anthropogenic nutrient
loading is sourced from two local fish farming cages that were operational
from 1987 to 2008 AD (Fig. 1b).</p>
</sec>
<sec id="Ch1.S3">
  <title>Description of the proxies</title>
<sec id="Ch1.S3.SS1">
  <title>Proxies for hydrodynamic conditions</title>
<sec id="Ch1.S3.SS1.SSS1">
  <title>Sediment grain size</title>
      <p id="d1e380">Sediment grain size depends on sediment inputs and hydrodynamic conditions.
Given that sediment provenance remains fixed, temporal variation in grain
size distribution in the coastal zone of the Baltic Sea, excluding river
mouths, is mainly governed by changes in wind stress and local seafloor
morphometry that modulate the bottom water energy flux (Lehmann et al.,
2002b; Jönsson et al., 2005a; Ning et al., 2016). In general, periods
with enhanced near-bottom<?pagebreak page3978?> currents become recorded in sediments through
increased proportion of coarse grains (e.g., Hjulström, 1939).</p>
</sec>
<sec id="Ch1.S3.SS1.SSS2">
  <title>Titanium to potassium ratio</title>
      <p id="d1e389">In fine-grained sediments, potassium (K) is mainly associated with illite
((<inline-formula><mml:math id="M12" display="inline"><mml:mrow class="chem"><mml:mi mathvariant="normal">K</mml:mi><mml:mo>,</mml:mo><mml:msub><mml:mi mathvariant="normal">H</mml:mi><mml:mn mathvariant="normal">3</mml:mn></mml:msub><mml:mi mathvariant="normal">O</mml:mi></mml:mrow></mml:math></inline-formula>)<inline-formula><mml:math id="M13" display="inline"><mml:mrow class="chem"><mml:mo>(</mml:mo><mml:mi mathvariant="normal">Al</mml:mi><mml:mo>,</mml:mo><mml:mi mathvariant="normal">Mg</mml:mi><mml:mo>,</mml:mo><mml:mi mathvariant="normal">Fe</mml:mi><mml:msub><mml:mo>)</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula><inline-formula><mml:math id="M14" display="inline"><mml:mrow class="chem"><mml:mo>(</mml:mo><mml:mi mathvariant="normal">Si</mml:mi><mml:mo>,</mml:mo><mml:mi mathvariant="normal">Al</mml:mi><mml:msub><mml:mo>)</mml:mo><mml:mn mathvariant="normal">4</mml:mn></mml:msub><mml:msub><mml:mi mathvariant="normal">O</mml:mi><mml:mn mathvariant="normal">10</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>[<inline-formula><mml:math id="M15" display="inline"><mml:mrow class="chem"><mml:mo>(</mml:mo><mml:mi mathvariant="normal">OH</mml:mi><mml:msub><mml:mo>)</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>(<inline-formula><mml:math id="M16" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">H</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mi mathvariant="normal">O</mml:mi></mml:mrow></mml:math></inline-formula>)]),
whereas titanium (Ti) is mainly present in heavy minerals such as rutile
(<inline-formula><mml:math id="M17" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">TiO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>) or ilmenite ((Fe, Mg, Mn, Ti)<inline-formula><mml:math id="M18" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">O</mml:mi><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>) and thus it
concentrates in the coarse fraction of sediments due to sorting effects
(Dellwig et al., 2000). Therefore, variations in Ti <inline-formula><mml:math id="M19" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> K in locations with
negligible changes in sediment provenance over time can be ascribed to
changes in depositional energy and sediment transport processes (Piva et al.,
2008; Spofforth et al., 2008), whereby an increase in the ratio denotes
amplified bottom water currents.</p>
</sec>
</sec>
<sec id="Ch1.S3.SS2">
  <title>Proxies for the source of organic matter</title>
<sec id="Ch1.S3.SS2.SSS1">
  <title>Carbon to nitrogen ratio</title>
      <p id="d1e525">Due to the contrasting composition of vascular plants in comparison to
phytoplankton, carbon (C) to nitrogen (N) ratios of sediment OM can be used
to estimate relative contributions of OM originating from terrestrial and
marine compartments (Meyers, 1994, 1997, and references therein). This
difference arises from the high abundance of proteins in algae, while
vascular plants are rich in cellulose instead. Accordingly, marine and
terrestrial OM are characterized by molar C <inline-formula><mml:math id="M20" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> N ratios of 4–10 and
&gt; 20, respectively. However, C <inline-formula><mml:math id="M21" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> N of OM produced in the
euphotic zone is potentially elevated during sinking (Müller, 1977;
Meyers, 2003) and diagenesis (Gälman et al., 2008) due to preferential
degradation of N over C. Conversely, adsorption of ammonia (produced upon OM
decomposition) onto clay mineral surfaces has the potential to decrease
sediment C <inline-formula><mml:math id="M22" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> N during diagenesis, especially in sediments with less than
0.3 % of C<inline-formula><mml:math id="M23" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">org</mml:mi></mml:msub></mml:math></inline-formula> (Müller, 1977). Despite these potential
constraints, the C <inline-formula><mml:math id="M24" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> N ratio often accurately records past variations in the
source of OM to the seafloor (Meyers, 1994; 1997), as suggested for the
coastal Baltic Sea (Müller and Mathesius, 1999).</p>
</sec>
<sec id="Ch1.S3.SS2.SSS2">
  <title>Stable isotope composition of carbon</title>
      <p id="d1e571">Stable isotope composition of sediment organic carbon
(<inline-formula><mml:math id="M25" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">13</mml:mn></mml:msup><mml:mi mathvariant="normal">C</mml:mi></mml:mrow></mml:math></inline-formula><inline-formula><mml:math id="M26" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">org</mml:mi></mml:msub></mml:math></inline-formula>) depends on the isotopic ratio of the C
source as well as on the fractionation between <inline-formula><mml:math id="M27" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">12</mml:mn></mml:msup><mml:mi mathvariant="normal">C</mml:mi></mml:mrow></mml:math></inline-formula> and
<inline-formula><mml:math id="M28" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">13</mml:mn></mml:msup><mml:mi mathvariant="normal">C</mml:mi></mml:mrow></mml:math></inline-formula> during photosynthesis (e.g., Hayes, 1993). A vast majority of
plants present in the study area fix C via the Calvin (<inline-formula><mml:math id="M29" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">C</mml:mi><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>) pathway,
whereby <inline-formula><mml:math id="M30" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">12</mml:mn></mml:msup><mml:mi mathvariant="normal">C</mml:mi></mml:mrow></mml:math></inline-formula> is preferentially incorporated, producing
C<inline-formula><mml:math id="M31" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">org</mml:mi></mml:msub></mml:math></inline-formula> with 20 ‰ lighter isotope composition than the
inorganic C (C<inline-formula><mml:math id="M32" display="inline"><mml:mrow><mml:msub><mml:mi/><mml:mi mathvariant="normal">inorg</mml:mi></mml:msub><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> source. Land plants use atmospheric carbon
dioxide (<inline-formula><mml:math id="M33" 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>, <inline-formula><mml:math id="M34" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">13</mml:mn></mml:msup><mml:mi mathvariant="normal">C</mml:mi></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M35" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> <inline-formula><mml:math id="M36" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">7</mml:mn></mml:mrow></mml:math></inline-formula> ‰) as
their source of C<inline-formula><mml:math id="M37" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">inorg</mml:mi></mml:msub></mml:math></inline-formula>, whereas marine algae utilize dissolved
bicarbonate (<inline-formula><mml:math id="M38" display="inline"><mml:mrow class="chem"><mml:msubsup><mml:mi mathvariant="normal">HCO</mml:mi><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M39" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">13</mml:mn></mml:msup><mml:mi mathvariant="normal">C</mml:mi></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M40" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 0 ‰)
in addition to <inline-formula><mml:math id="M41" 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>, resulting in higher <inline-formula><mml:math id="M42" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">13</mml:mn></mml:msup><mml:mi mathvariant="normal">C</mml:mi></mml:mrow></mml:math></inline-formula> values
in marine phytoplankton. Although the preferential source of C for marine
algae is dissolved <inline-formula><mml:math id="M43" 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>, they incorporate a progressively higher
proportion of <inline-formula><mml:math id="M44" display="inline"><mml:mrow class="chem"><mml:msubsup><mml:mi mathvariant="normal">HCO</mml:mi><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> with respect to <inline-formula><mml:math id="M45" 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> under
decreasing <inline-formula><mml:math id="M46" display="inline"><mml:mrow class="chem"><mml:mi>p</mml:mi><mml:msub><mml:mi mathvariant="normal">CO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> (Fogel et al., 1992; Rost et al., 2003),
leading to increasing <inline-formula><mml:math id="M47" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">13</mml:mn></mml:msup><mml:mi mathvariant="normal">C</mml:mi></mml:mrow></mml:math></inline-formula> values in their cells. Accordingly,
organic matter produced by land plants has an average <inline-formula><mml:math id="M48" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">13</mml:mn></mml:msup><mml:mi mathvariant="normal">C</mml:mi></mml:mrow></mml:math></inline-formula>
value of <inline-formula><mml:math id="M49" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> <inline-formula><mml:math id="M50" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">27</mml:mn></mml:mrow></mml:math></inline-formula> ‰, whereas phytoplankton-derived marine
organic matter is characterized by a <inline-formula><mml:math id="M51" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">13</mml:mn></mml:msup><mml:mi mathvariant="normal">C</mml:mi></mml:mrow></mml:math></inline-formula> signature from <inline-formula><mml:math id="M52" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">20</mml:mn></mml:mrow></mml:math></inline-formula>
to <inline-formula><mml:math id="M53" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">22</mml:mn></mml:mrow></mml:math></inline-formula> ‰ (Meyers, 1994). Although early diagenetic processes
potentially alter the original stable isotope composition of OM (Lehmann et
al., 2002a), a number of studies indicate that the <inline-formula><mml:math id="M54" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">13</mml:mn></mml:msup><mml:mi mathvariant="normal">C</mml:mi></mml:mrow></mml:math></inline-formula>
signature of sediment OM often robustly records past environmental changes in
the water column (Meyers, 1994, 1997; Freudenthal et al., 2001; Kohzu et al.,
2011).</p>
</sec>
<sec id="Ch1.S3.SS2.SSS3">
  <title>Stable isotope composition of nitrogen</title>
      <p id="d1e917">The stable isotope composition of nitrogen (<inline-formula><mml:math id="M55" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">15</mml:mn></mml:msup><mml:mi mathvariant="normal">N</mml:mi></mml:mrow></mml:math></inline-formula>) in marine OM
produced in the euphotic zone is governed by the isotopic ratio of nitrate
(<inline-formula><mml:math id="M56" display="inline"><mml:mrow class="chem"><mml:msubsup><mml:mi mathvariant="normal">NO</mml:mi><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula>) and the extent to which this nutrient reservoir is
consumed by phytoplankton (Altabet and Francois, 1994; Voss et al., 1996).
Due to the preferential assimilation of <inline-formula><mml:math id="M57" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">14</mml:mn></mml:msup><mml:msubsup><mml:mi mathvariant="normal">NO</mml:mi><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> during
photosynthesis, the produced OM is depleted in <inline-formula><mml:math id="M58" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">15</mml:mn></mml:msup><mml:mi mathvariant="normal">N</mml:mi></mml:mrow></mml:math></inline-formula> relative to the
inorganic N source. If the available nutrient pool is not continuously
replenished (e.g., due to thermal stratification), the <inline-formula><mml:math id="M59" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">15</mml:mn></mml:msup><mml:mi mathvariant="normal">N</mml:mi></mml:mrow></mml:math></inline-formula>
signature of the remaining <inline-formula><mml:math id="M60" display="inline"><mml:mrow class="chem"><mml:msubsup><mml:mi mathvariant="normal">NO</mml:mi><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> pool becomes progressively
enriched following Rayleigh fractionation kinetics (Altabet and Francois,
1994). Consequently, upon complete exhaustion of the <inline-formula><mml:math id="M61" display="inline"><mml:mrow class="chem"><mml:msubsup><mml:mi mathvariant="normal">NO</mml:mi><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> pool
due to a period of intensive primary productivity, such as a spring bloom, no
net isotopic fractionation occurs and the “original” <inline-formula><mml:math id="M62" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">15</mml:mn></mml:msup><mml:mi mathvariant="normal">N</mml:mi></mml:mrow></mml:math></inline-formula>
signature of <inline-formula><mml:math id="M63" display="inline"><mml:mrow class="chem"><mml:msubsup><mml:mi mathvariant="normal">NO</mml:mi><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> is communicated to the accumulated OM. On
continental margin settings characterized by high sedimentation rates and
intensive phytoplankton blooms that contribute the majority of OM delivery to
the seafloor, as in the Baltic Sea, alteration of the primary
<inline-formula><mml:math id="M64" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">15</mml:mn></mml:msup><mml:mi mathvariant="normal">N</mml:mi></mml:mrow></mml:math></inline-formula> signal attained by phytoplankton within the euphotic zone
is minute both during sinking through the water column (Altabet et al., 1991;
Altabet and Francois, 1994) and during early diagenesis (Kienast et al.,
2002; Thunell et al., 2004). Hence, high <inline-formula><mml:math id="M65" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">15</mml:mn></mml:msup><mml:mi mathvariant="normal">N</mml:mi></mml:mrow></mml:math></inline-formula> values in
coastal sediments often record eutrophication through agricultural and urban
contribution to riverine N loading (McClelland and Valiela, 1998; Voss et
al., 2000, 2005; Struck et al., 2000; Cole et al., 2004), owing to the
enrichment of <inline-formula><mml:math id="M66" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">15</mml:mn></mml:msup><mml:mi mathvariant="normal">N</mml:mi></mml:mrow></mml:math></inline-formula> in fertilizer and manure due to N transformations
such as denitrification and ammonia volatilization in catchment soils
(Heaton, 1986; Aravena et al., 1993).</p>
</sec>
<sec id="Ch1.S3.SS2.SSS4">
  <title>Branched isoprenoid tetraether index</title>
      <p id="d1e1086">Founded on the observation that branched glycerol dialkyl glycerol
tetraethers (GDGTs I–III) are mainly sourced from terrestrial environment
(soil OM), whereas crenarchaeol originates predominantly from the marine
environment (a<?pagebreak page3979?> characteristic lipid for aquatic Thaumarchaeota),
Hopmans et al. (2004) defined the branched isoprenoid tetraether (BIT) index
as a proxy for the relative abundance of terrestrial OM:

                  <disp-formula specific-use="align" content-type="numbered"><mml:math id="M67" display="block"><mml:mtable displaystyle="true"><mml:mlabeledtr id="Ch1.E1"><mml:mtd/><mml:mtd><mml:mstyle displaystyle="true" class="stylechange"/></mml:mtd><mml:mtd><mml:mrow><mml:mstyle displaystyle="true" class="stylechange"/><?xmltex \hack{\hbox\bgroup\fontsize{9.3}{9.3}\selectfont$\displaystyle}?><mml:mtext mathvariant="normal">BIT index</mml:mtext><mml:mo>=</mml:mo><?xmltex \hack{$\egroup}?></mml:mrow></mml:mtd></mml:mlabeledtr><mml:mtr><mml:mtd><mml:mstyle displaystyle="true" class="stylechange"/></mml:mtd><mml:mtd><mml:mrow><?xmltex \hack{\hbox\bgroup\fontsize{9.5}{9.5}\selectfont$\displaystyle}?><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:mo>[</mml:mo><mml:mi mathvariant="normal">GDGT</mml:mi><mml:mo>-</mml:mo><mml:mi mathvariant="normal">I</mml:mi><mml:mo>]</mml:mo><mml:mo>+</mml:mo><mml:mo>[</mml:mo><mml:mi mathvariant="normal">GDGT</mml:mi><mml:mo>-</mml:mo><mml:mi mathvariant="normal">II</mml:mi><mml:mo>]</mml:mo><mml:mo>+</mml:mo><mml:mo>[</mml:mo><mml:mi mathvariant="normal">GDGT</mml:mi><mml:mo>-</mml:mo><mml:mi mathvariant="normal">III</mml:mi><mml:mo>]</mml:mo></mml:mrow><mml:mrow><mml:mo>[</mml:mo><mml:mi mathvariant="normal">Crenarchaeol</mml:mi><mml:mo>]</mml:mo><mml:mo>+</mml:mo><mml:mo>[</mml:mo><mml:mi mathvariant="normal">GDGT</mml:mi><mml:mo>-</mml:mo><mml:mi mathvariant="normal">I</mml:mi><mml:mo>]</mml:mo><mml:mo>+</mml:mo><mml:mo>[</mml:mo><mml:mi mathvariant="normal">GDGT</mml:mi><mml:mo>-</mml:mo><mml:mi mathvariant="normal">II</mml:mi><mml:mo>]</mml:mo><mml:mo>+</mml:mo><mml:mo>[</mml:mo><mml:mi mathvariant="normal">GDGT</mml:mi><mml:mo>-</mml:mo><mml:mi mathvariant="normal">III</mml:mi><mml:mo>]</mml:mo></mml:mrow></mml:mfrac></mml:mstyle><mml:mo>,</mml:mo><?xmltex \hack{$\egroup}?></mml:mrow></mml:mtd></mml:mtr></mml:mtable></mml:math></disp-formula>

              where end-member values of 0 and 1 denote open marine and coastal
environment, respectively. Diagenetic effects on the BIT index are regarded
as minute due to the structural similarity of the compounds involved (Schouten
et al., 2013). Possible constraints on the application of the BIT index
include potential in situ production of branched GDGTs in the water column
(Sinninghe Damsté et al., 2009) and marine sediments (Peterse et al.,
2009) as well as the potential production of crenarchaeol in soils (Weijers
et al., 2006).</p>
</sec>
</sec>
<sec id="Ch1.S3.SS3">
  <title>Redox proxies</title>
<sec id="Ch1.S3.SS3.SSS1">
  <title>Sedimentary fabric</title>
      <p id="d1e1211">Sedimentary-fabric analysis is focused on the preservation of primary
sedimentary structure, its mixing by macrofaunal bioturbation, and the
characteristics of identifiable bioturbation structures (trace fossils).
Trace fossil assemblages of the organic-rich brackish-water muds of the
Baltic Sea are well applicable for reconstructing past bottom water redox
shifts (Virtasalo et al., 2011a, b). Benthic faunal responses to bottom
water hypoxia include avoidance or even mortality of large species, loss of
diversity, and shoaling of penetration depth or emergence from sediment
(Levin et al., 2009). Consequently, the vertical extent, diameter, and
diversity of burrows constructed by macrobenthic fauna decrease with
declining bottom water oxygenation, which is thought to be the decisive
factor shaping biogenic sedimentary fabrics in the Baltic Sea (Savrda and
Bottjer, 1986, 1991; Virtasalo et al., 2011a, b), although other factors
such as salinity, substrate consistency, and food supply also affect trace
fossil assemblages in the area (Virtasalo et al., 2006, 2011a). Importantly,
the behavior of macrobenthic fauna responds rapidly to changes in the bottom
water environmental conditions, and these responses can be readily recorded
in the trace fossil assemblages (Savrda and Bottjer, 1986; Wetzel, 1991).
The magnitude of this response is governed by the intensity and duration the
deoxygenation as well as by the recovery time between consecutive hypoxic
events (Levin et al., 2009).</p>
</sec>
<sec id="Ch1.S3.SS3.SSS2">
  <title>Molybdenum content</title>
      <p id="d1e1220">Sedimentary molybdenum (Mo) content is a well-established proxy for past
redox fluctuations in bottom waters overlying marine sediments (e.g., Algeo
and Lyons, 2006; Scott and Lyons, 2012; Helz and Adelson, 2013). It has been
successfully applied to Baltic Sea sediments for bottom water redox
reconstructions, especially in deep areas (Mort et al., 2010; Jilbert and
Slomp, 2013; Jilbert et al., 2015; Dijkstra et al., 2016; Hardisty et al.,
2016; van Helmond et al., 2017). The sensitivity of sedimentary Mo content to
redox fluctuations is due to the conversion of the relatively inert molybdate
ion (<inline-formula><mml:math id="M68" display="inline"><mml:mrow class="chem"><mml:msubsup><mml:mi mathvariant="normal">MoO</mml:mi><mml:mn mathvariant="normal">4</mml:mn><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>-</mml:mo></mml:mrow></mml:msubsup></mml:mrow></mml:math></inline-formula>) in seawater to a series of particle-reactive
thiomolybdates (<inline-formula><mml:math id="M69" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">MoO</mml:mi><mml:mi>x</mml:mi></mml:msub><mml:msub><mml:mi mathvariant="normal">S</mml:mi><mml:mrow><mml:mn mathvariant="normal">4</mml:mn><mml:mo>-</mml:mo><mml:mi>x</mml:mi></mml:mrow></mml:msub></mml:mrow></mml:math></inline-formula>) under exposure to hydrogen sulfide
(<inline-formula><mml:math id="M70" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">H</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mi mathvariant="normal">S</mml:mi></mml:mrow></mml:math></inline-formula>). Where the concentration of <inline-formula><mml:math id="M71" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">H</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mi mathvariant="normal">S</mml:mi></mml:mrow></mml:math></inline-formula><inline-formula><mml:math id="M72" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">aq</mml:mi></mml:msub></mml:math></inline-formula>
exceeds <inline-formula><mml:math id="M73" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 11 <inline-formula><mml:math id="M74" display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>M, the so-called sulfide switch is activated
and a quantitative conversion to tetrathiomolybdate <inline-formula><mml:math id="M75" display="inline"><mml:mrow class="chem"><mml:msubsup><mml:mi mathvariant="normal">MoS</mml:mi><mml:mn mathvariant="normal">4</mml:mn><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>-</mml:mo></mml:mrow></mml:msubsup></mml:mrow></mml:math></inline-formula> may
occur (Helz et al., 1996; Erickson and Helz, 2000), triggering effective
fixation of Mo in association with Fe-S phases (Helz et al., 1996, 2011;
O'Connor et al., 2015) and organic matter (Helz et al., 1996; Algeo and
Lyons, 2006; Dahl et al., 2017). In addition, Mo is reduced from oxidation state
(VI) to (IV) during burial in sediments (Dahl et al., 2013). Under
non-euxinic conditions, where <inline-formula><mml:math id="M76" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">H</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mi mathvariant="normal">S</mml:mi></mml:mrow></mml:math></inline-formula> is only found in pore waters but
not in bottom waters, the initial sedimentation of water column Mo often
occurs through adsorption to solid-phase manganese (Mn) oxides at the
sediment–water interface (Scott and Lyons, 2012; Scholz et al., 2013;
Noordmann et al., 2015). Upon reduction of Mn oxides, Mo is released into the
pore waters, from where it may efflux back to the water column or become
sequestered into the sediments in the presence of sufficiently high sulfide
levels. In such settings, the depth and intensity of the pore water
<inline-formula><mml:math id="M77" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">H</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mi mathvariant="normal">S</mml:mi></mml:mrow></mml:math></inline-formula> maximum (in Baltic Sea sediments typically associated with the
sulfate–methane transition zone (SMTZ), Egger et al., 2015; Jilbert et al.,
2018) is expected to regulate the amount of Mo sequestered in the sediment
(Adelson et al., 2001; Scott and Lyons, 2012; Helz and Adelson, 2013;
Sulu-Gambari et al., 2017).</p>
</sec>
<sec id="Ch1.S3.SS3.SSS3">
  <title>Pristane to phytane ratio</title>
      <p id="d1e1357">The application of the pristane to phytane ratio (Pr <inline-formula><mml:math id="M78" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> Ph) as a redox
proxy is based on the theory that both
of these aliphatic hydrocarbons are mainly sourced from the phytol side chain
of chlorophylls, with preferential diagenetic formation of Ph upon exposure
to reducing conditions (Didyk et al., 1978). Didyk et al. (1978) postulated
that Pr <inline-formula><mml:math id="M79" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> Ph ratios of &lt; 1 are indicative of deposition under
anoxic water column, while ratios fluctuating about 1 record oscillations
between anoxic and oxic bottom waters, and persistently oxic bottom waters
result in ratios &gt; 1. However, it has been shown that a decline
in Pr <inline-formula><mml:math id="M80" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> Ph may also be caused by excess production of Ph sourced from
methanogenic microbes below the SMTZ (Brassel et al., 1981; Venkatesan and
Kaplan, 1987; Duan, 2000). As a result, the ratio should be used cautiously
and in association with other indicators of redox conditions. This redox
proxy is widely used in petroleum geology to characterize source rocks
(Peters et al., 2005) but is so far unutilized in studies of Baltic Sea
sediments.</p><?xmltex \hack{\newpage}?>
</sec>
</sec>
</sec>
<?pagebreak page3980?><sec id="Ch1.S4">
  <title>Materials and methods</title>
<sec id="Ch1.S4.SS1">
  <title>Sediment coring, subsampling, and analysis of grain size</title>
      <p id="d1e1395">The study site was selected based on previous studies by Jokinen et
al. (2015), where it was found that the sediment in the basin comprises thick
varves since the beginning of the 20th century, providing a high-resolution
archive of environmental change for the corresponding period. Due to this
apparent sensitivity of the basin to bottom water hypoxia, as manifested in
the continuous laminations, together with the central location in the middle of the
Archipelago Sea, we expected the site to be representative of the past
environmental changes in the area. Importantly, despite the contrasting
bottom water oxygenation between adjacent sub-basins in the area (Virtasalo
et al., 2005), the long-term trends in environmental conditions are largely
congruent over the entire Archipelago Sea, excluding areas close to prominent
nutrient point sources (Suomela, 2011).</p>
      <p id="d1e1398">Two replicate sediment cores (HAV-KU-5 and HAV-KU-6) were retrieved using a
5 m long piston corer onboard R/V <italic>Aurelia</italic> of the Archipelago
Research Institute in June 2015 (Table 1). The coring device was adjusted to
start the core retrieval with the piston positioned 1–2 decimeters above the
sediment–water interface, in order to capture the sediment surface as intact
as possible. In the laboratory, the cores were split lengthwise and trimmed
for digital photography and description of lithology. All of the following
analyses, except for X-radiography, were conducted for the HAV-KU-6 core
only. The sediment was sub-sampled into cubic (7 cm<inline-formula><mml:math id="M81" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula>) polystyrene
sample boxes at approximately every 3.0 cm for geochemical analyses. In
addition, the HAV-KU-6 core was continuously subsampled at 1 cm resolution
into reclosable polyethylene bags for <inline-formula><mml:math id="M82" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">137</mml:mn></mml:msup><mml:mi mathvariant="normal">Cs</mml:mi></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M83" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">14</mml:mn></mml:msup><mml:mi mathvariant="normal">C</mml:mi></mml:mrow></mml:math></inline-formula>, and
grain size analyses. Grain size distributions were analyzed at every 10 cm
by a Coulter LS200 laser diffractometer after pretreatment with excess
<inline-formula><mml:math id="M84" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">H</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:msub><mml:mi mathvariant="normal">O</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> and dispersing the particles in an ultrasonic bath.</p>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T1" specific-use="star"><caption><p id="d1e1456">Retrieved sediment cores.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="8">
     <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="right"/>
     <oasis:colspec colnum="6" colname="col6" align="left"/>
     <oasis:colspec colnum="7" colname="col7" align="left"/>
     <oasis:colspec colnum="8" colname="col8" align="right"/>
     <oasis:thead>
       <oasis:row>
         <oasis:entry colname="col1">Core ID</oasis:entry>
         <oasis:entry colname="col2">Sampling date</oasis:entry>
         <oasis:entry colname="col3">Latitude</oasis:entry>
         <oasis:entry colname="col4">Longitude</oasis:entry>
         <oasis:entry colname="col5">Water depth</oasis:entry>
         <oasis:entry colname="col6">Gear</oasis:entry>
         <oasis:entry colname="col7">Research</oasis:entry>
         <oasis:entry colname="col8">Recovery</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3">(WGS 84)</oasis:entry>
         <oasis:entry colname="col4">(WGS 84)</oasis:entry>
         <oasis:entry colname="col5">(m)</oasis:entry>
         <oasis:entry colname="col6"/>
         <oasis:entry colname="col7">vessel</oasis:entry>
         <oasis:entry colname="col8">(cm)</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>
         <oasis:entry colname="col1">HAV-KU-5</oasis:entry>
         <oasis:entry colname="col2">11 June 2015</oasis:entry>
         <oasis:entry colname="col3">60<inline-formula><mml:math id="M85" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>14.117 N</oasis:entry>
         <oasis:entry colname="col4">22<inline-formula><mml:math id="M86" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>02.642 E</oasis:entry>
         <oasis:entry colname="col5">23.3</oasis:entry>
         <oasis:entry colname="col6">Piston corer</oasis:entry>
         <oasis:entry colname="col7"><italic>Aurelia</italic></oasis:entry>
         <oasis:entry colname="col8">330</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">HAV-KU-6</oasis:entry>
         <oasis:entry colname="col2">11 June 2015</oasis:entry>
         <oasis:entry colname="col3">60<inline-formula><mml:math id="M87" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>14.116 N</oasis:entry>
         <oasis:entry colname="col4">22<inline-formula><mml:math id="M88" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>02.642 E</oasis:entry>
         <oasis:entry colname="col5">23.3</oasis:entry>
         <oasis:entry colname="col6">Piston corer</oasis:entry>
         <oasis:entry colname="col7"><italic>Aurelia</italic></oasis:entry>
         <oasis:entry colname="col8">390</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

</sec>
<sec id="Ch1.S4.SS2">
  <title>Geochronological methods</title>
      <p id="d1e1640">Age constraints for the age model were obtained based on visual varve
counting (1900 AD onwards), <inline-formula><mml:math id="M89" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">137</mml:mn></mml:msup><mml:mi mathvariant="normal">Cs</mml:mi></mml:mrow></mml:math></inline-formula> profiles, and recognizable
features in the measured atmospheric lead (Pb) fallout profile. Three
analysts independently counted the varves within the continuously laminated
interval (0–76 cm core depth) from the freshly split sediment surface in
order to constrain the reproducibility of the method. To fix this floating
varve chronology, <inline-formula><mml:math id="M90" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">137</mml:mn></mml:msup><mml:mi mathvariant="normal">Cs</mml:mi></mml:mrow></mml:math></inline-formula> activity was measured for the topmost
60 cm of the core by measuring the gamma spectra of the wet subsamples at
the Geological Survey of Finland using an EG&amp;E Ortec
ACE<sup>™</sup>-2K
spectrometer with a 4 in. (1 decimeter) NaI <inline-formula><mml:math id="M91" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> Tl detector.
Two or three consecutive 1 cm thick subsamples were combined for the 20–60
and 0–20 cm depth intervals, respectively, to gain enough material for the
measurement. No corrections were applied for the results, because the target
was only to detect relative <inline-formula><mml:math id="M92" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">137</mml:mn></mml:msup><mml:mi mathvariant="normal">Cs</mml:mi></mml:mrow></mml:math></inline-formula> activity peaks (Jokinen et al.,
2015). Due to the lack of datable macrofossils, we also attempted to
constrain the age model with bulk sediment radiocarbon dating of the
NaOH-soluble fraction as suggested by Rößler et al. (2011). The
NaOH-extraction and accelerator mass spectrometry (AMS)-<inline-formula><mml:math id="M93" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">14</mml:mn></mml:msup><mml:mi mathvariant="normal">C</mml:mi></mml:mrow></mml:math></inline-formula>
measurements for nine selected core depths were conducted at the Poznań
Radiocarbon Laboratory, Poland (Goslar et al., 2004). In addition, we
compared our bulk sediment Pb profiles with the Pb fallout records from
varved lakes in Sweden (Brännvall et al., 1999) to constrain the
chronology.</p>
</sec>
<sec id="Ch1.S4.SS3">
  <title>X-radiography, trace fossils, and bioturbation index</title>
      <p id="d1e1708">For X-radiography, plastic boxes (<inline-formula><mml:math id="M94" display="inline"><mml:mrow><mml:mn mathvariant="normal">50</mml:mn><mml:mo>×</mml:mo><mml:mn mathvariant="normal">4</mml:mn><mml:mo>×</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:math></inline-formula> cm) were pressed
into the sediment, cut out using a steel string, trimmed with a thin aluminum
sheet, and sealed after inserting a lid (Virtasalo et al., 2006). Due to
disturbance of the uppermost sediments in the reference half of HAV-KU-6
during splitting of the core, the subsampling for X-radiography for the
topmost 170 cm was done for the replicate core HAV-KU-5. For the bottom
part, the subsampling was conducted for HAV-KU-6 due to the longer core
retrieval (Table 1). The cores were correlated visually based on the
occurrence of the laminated intervals and the boundaries of the lithological
units described below. The 2-D projections of the sedimentary structures were
investigated from high-resolution digital X-radiographs of the boxes, which
were obtained by a custom-made tungsten-anode micro-computed-tomography
Nanotom device (Phoenix<inline-formula><mml:math id="M95" display="inline"><mml:mo>|</mml:mo></mml:math></inline-formula>Xray Systems<inline-formula><mml:math id="M96" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> Services GmbH) at the University of
Helsinki. Power settings of the X-ray source were 100 kV and
150 <inline-formula><mml:math id="M97" display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>A, and the detector was adjusted to exposure time of 1 s and
an averaging of 30 images per radiograph. The resulting pixel size in
the X-radiographs was 38 <inline-formula><mml:math id="M98" display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>m. X-radiographs were used for further
lithological description as well as for analysis of bioturbation index and
ichnological structures to the ichnogenus level (for ichnofossil
descriptions, see Virtasalo et al., 2011a) in 6 cm thick sediment intervals.
We assigned a bioturbation index of 1–4, modified from Behl and
Kennett (1996), to these intervals based on the preservation of the primary
sedimentary fabric so that high values denote intense mixing (Table 2).</p>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T2" specific-use="star"><caption><p id="d1e1758">Classification scheme for assessing bioturbation index, modified
from Behl and Kennett (1996).</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="2">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="left"/>
     <oasis:thead>
       <oasis:row>
         <oasis:entry colname="col1">Bioturbation</oasis:entry>
         <oasis:entry colname="col2">Description of the sedimentary fabric</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">index</oasis:entry>
         <oasis:entry colname="col2"/>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>
         <oasis:entry colname="col1">1</oasis:entry>
         <oasis:entry colname="col2">Unbioturbated sediment with distinct, continuous lamination</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">2</oasis:entry>
         <oasis:entry colname="col2">Diffuse, discontinuous, or irregular laminations</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">3</oasis:entry>
         <oasis:entry colname="col2">Slightly bioturbated sediment, with either faint, diffuse laminations/bedding or with few discrete</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2">patches of laminations surrounded by homogenized sediment</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">4</oasis:entry>
         <oasis:entry colname="col2">Completely bioturbated sediment wherein the primary sedimentary fabric is thoroughly obliterated</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

</sec>
<sec id="Ch1.S4.SS4">
  <title>Geochemical analyses</title>
<sec id="Ch1.S4.SS4.SSS1">
  <title>Carbon and nitrogen contents and stable isotope ratios</title>
      <?pagebreak page3981?><p id="d1e1848">Lids of the polystyrene sample boxes were removed, the samples were
freeze-dried, and the dry bulk density was calculated. Subsequently, the
sediment samples were ground in an agate mortar and analyzed for total carbon
(C<inline-formula><mml:math id="M99" display="inline"><mml:mrow><mml:msub><mml:mi/><mml:mi mathvariant="normal">tot</mml:mi></mml:msub><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> and nitrogen (N<inline-formula><mml:math id="M100" display="inline"><mml:mrow><mml:msub><mml:mi/><mml:mi mathvariant="normal">tot</mml:mi></mml:msub><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> by a CHNS analyzer (TruSpec
Micro, LECO Corporation) in the Department of Food and Environmental Sciences
at the University of Helsinki. The amount of inorganic C and N was assumed to
be negligible in this setting, and thus C<inline-formula><mml:math id="M101" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">tot</mml:mi></mml:msub></mml:math></inline-formula> and N<inline-formula><mml:math id="M102" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">tot</mml:mi></mml:msub></mml:math></inline-formula>
contents are assumed to equal to C<inline-formula><mml:math id="M103" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">org</mml:mi></mml:msub></mml:math></inline-formula> and N<inline-formula><mml:math id="M104" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">org</mml:mi></mml:msub></mml:math></inline-formula>,
respectively (Jilbert et al., 2018). The relative contributions of
terrestrial plant-derived (%OC<inline-formula><mml:math id="M105" display="inline"><mml:mrow><mml:msub><mml:mi/><mml:mi mathvariant="normal">terr</mml:mi></mml:msub><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> and phytoplankton-derived
OM (%OC<inline-formula><mml:math id="M106" display="inline"><mml:mrow><mml:msub><mml:mi/><mml:mi mathvariant="normal">phyt</mml:mi></mml:msub><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> to the total C<inline-formula><mml:math id="M107" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">org</mml:mi></mml:msub></mml:math></inline-formula> were estimated with
a simple two-end-member mixing model for the molar N <inline-formula><mml:math id="M108" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> C ratio, applying
end-member values of N <inline-formula><mml:math id="M109" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> C<inline-formula><mml:math id="M110" display="inline"><mml:mrow><mml:msub><mml:mi/><mml:mi mathvariant="normal">terr</mml:mi></mml:msub><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.04</mml:mn></mml:mrow></mml:math></inline-formula> (C <inline-formula><mml:math id="M111" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> N <inline-formula><mml:math id="M112" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 25)
and N <inline-formula><mml:math id="M113" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> C<inline-formula><mml:math id="M114" display="inline"><mml:mrow><mml:msub><mml:mi/><mml:mi mathvariant="normal">phyt</mml:mi></mml:msub><mml:mo>=</mml:mo></mml:mrow></mml:math></inline-formula> 0.13 (C <inline-formula><mml:math id="M115" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> N <inline-formula><mml:math id="M116" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 7.7) for terrestrial
and phytoplankton-derived OM, respectively (Goñi et al., 2003):
              <disp-formula id="Ch1.E2" content-type="numbered"><mml:math id="M117" display="block"><mml:mrow><mml:mi mathvariant="italic">%</mml:mi><mml:msub><mml:mi mathvariant="normal">OC</mml:mi><mml:mi mathvariant="normal">terr</mml:mi></mml:msub><mml:mo>=</mml:mo><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:mo>(</mml:mo><mml:mrow class="chem"><mml:mi mathvariant="normal">N</mml:mi></mml:mrow><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mo>/</mml:mo><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mrow class="chem"><mml:mi mathvariant="normal">C</mml:mi></mml:mrow><mml:msub><mml:mo>)</mml:mo><mml:mi mathvariant="normal">sample</mml:mi></mml:msub><mml:mo>-</mml:mo><mml:mo>(</mml:mo><mml:mrow class="chem"><mml:mi mathvariant="normal">N</mml:mi></mml:mrow><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mo>/</mml:mo><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mrow class="chem"><mml:mi mathvariant="normal">C</mml:mi></mml:mrow><mml:msub><mml:mo>)</mml:mo><mml:mi mathvariant="normal">phyt</mml:mi></mml:msub></mml:mrow><mml:mrow><mml:mo>(</mml:mo><mml:mrow class="chem"><mml:mi mathvariant="normal">N</mml:mi></mml:mrow><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mo>/</mml:mo><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mrow class="chem"><mml:mi mathvariant="normal">C</mml:mi></mml:mrow><mml:msub><mml:mo>)</mml:mo><mml:mi mathvariant="normal">terr</mml:mi></mml:msub><mml:mo>-</mml:mo><mml:mo>(</mml:mo><mml:mrow class="chem"><mml:mi mathvariant="normal">N</mml:mi></mml:mrow><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mo>/</mml:mo><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mrow class="chem"><mml:mi mathvariant="normal">C</mml:mi></mml:mrow><mml:msub><mml:mo>)</mml:mo><mml:mi mathvariant="normal">phyt</mml:mi></mml:msub></mml:mrow></mml:mfrac></mml:mstyle><mml:mo>×</mml:mo><mml:mn mathvariant="normal">100</mml:mn><mml:mo>,</mml:mo></mml:mrow></mml:math></disp-formula>
            where %OC<inline-formula><mml:math id="M118" display="inline"><mml:mrow><mml:msub><mml:mi/><mml:mi mathvariant="normal">terr</mml:mi></mml:msub><mml:mo>=</mml:mo></mml:mrow></mml:math></inline-formula> 100 <inline-formula><mml:math id="M119" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula> %OC<inline-formula><mml:math id="M120" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">phyt</mml:mi></mml:msub></mml:math></inline-formula>. The
terrestrial end-member integrates various sources of terrestrial OM, from
fresh vascular plant detritus to more degraded soil OM. Since virtually all
of the OM transported by rivers to the coastal zone of the Archipelago Sea
passes through the soil reservoir and enters the marine environment as a
mixture of variably degraded material, further deconvolution of the
terrestrial end-member by N <inline-formula><mml:math id="M121" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> C ratios alone is impractical. The validity
of these end-member values for determining terrestrial vs. phytoplankton
material, however, was recently confirmed by a study in the southern coast of
Finland, where a strong gradient of N <inline-formula><mml:math id="M122" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> C values of sediment OM was
reported along an estuarine transect (Jilbert et al., 2018). Further
assumptions in the mixing model are that the N <inline-formula><mml:math id="M123" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> C ratios of the both
end-members are temporally and spatially constant and that these values
remain effectively unaltered during OM sedimentation and burial. To obtain
the desired fraction of terrestrially derived C<inline-formula><mml:math id="M124" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">org</mml:mi></mml:msub></mml:math></inline-formula> rather than
N<inline-formula><mml:math id="M125" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">org</mml:mi></mml:msub></mml:math></inline-formula> from this model, we use N <inline-formula><mml:math id="M126" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> C instead of the C <inline-formula><mml:math id="M127" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> N ratio
for the calculation (Perdue and Koprivnjak, 2007). Elsewhere in the text and
in the figures we refer to the more commonly used C <inline-formula><mml:math id="M128" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> N ratio.</p>
      <p id="d1e2211">In the Laboratory of Chronology at the University of Helsinki, selected
freeze-dried and ground samples were measured for stable isotope compositions
of carbon (<inline-formula><mml:math id="M129" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">13</mml:mn></mml:msup><mml:mi mathvariant="normal">C</mml:mi></mml:mrow></mml:math></inline-formula><inline-formula><mml:math id="M130" display="inline"><mml:mrow><mml:msub><mml:mi/><mml:mi mathvariant="normal">org</mml:mi></mml:msub><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> and nitrogen
(<inline-formula><mml:math id="M131" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">15</mml:mn></mml:msup><mml:mi mathvariant="normal">N</mml:mi></mml:mrow></mml:math></inline-formula>) by an isotope ratio mass spectrometer
(Delta V Plus, Thermo Fisher
Scientific) coupled to an NC2500 elemental analyzer. The measured
<inline-formula><mml:math id="M132" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">13</mml:mn></mml:msup><mml:mi mathvariant="normal">C</mml:mi></mml:mrow></mml:math></inline-formula><inline-formula><mml:math id="M133" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">org</mml:mi></mml:msub></mml:math></inline-formula> and <inline-formula><mml:math id="M134" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">15</mml:mn></mml:msup><mml:mi mathvariant="normal">N</mml:mi></mml:mrow></mml:math></inline-formula> values are
reported relative to the Vienna Pee Dee Belemnite (V-PDB) and AIR scales for
C and N, respectively. Precision of the measurements, as checked against
in-house and reference standards, yielded &lt; 0.02 % (1<inline-formula><mml:math id="M135" display="inline"><mml:mi mathvariant="italic">σ</mml:mi></mml:math></inline-formula>)
for both elements. Based on analysis of replicate samples, precision of the
entire procedure was &lt; 0.2 and &lt; 2.6 % for
<inline-formula><mml:math id="M136" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">13</mml:mn></mml:msup><mml:mi mathvariant="normal">C</mml:mi></mml:mrow></mml:math></inline-formula><inline-formula><mml:math id="M137" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">org</mml:mi></mml:msub></mml:math></inline-formula> and <inline-formula><mml:math id="M138" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">15</mml:mn></mml:msup><mml:mi mathvariant="normal">N</mml:mi></mml:mrow></mml:math></inline-formula>, respectively. To
account for the historic decline in <inline-formula><mml:math id="M139" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">13</mml:mn></mml:msup><mml:mi mathvariant="normal">C</mml:mi></mml:mrow></mml:math></inline-formula> of atmospheric
<inline-formula><mml:math id="M140" 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> due to fossil fuel burning and deforestation, the measured
values for samples postdating 1700 AD were corrected according to the
equation suggested by Verburg (2007):

                  <disp-formula specific-use="align" content-type="numbered"><mml:math id="M141" display="block"><mml:mtable displaystyle="true"><mml:mtr><mml:mtd><mml:mrow><mml:mstyle displaystyle="true" class="stylechange"/><mml:mi mathvariant="italic">%</mml:mi><mml:msub><mml:mi mathvariant="normal">OC</mml:mi><mml:mi mathvariant="normal">terr</mml:mi></mml:msub><mml:mrow class="chem"><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">13</mml:mn></mml:msup><mml:mi mathvariant="normal">C</mml:mi></mml:mrow></mml:mrow></mml:mtd><mml:mtd><mml:mrow><mml:mstyle class="stylechange" displaystyle="true"/><mml:mo>=</mml:mo><mml:mn mathvariant="normal">7.7738118</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">16</mml:mn></mml:mrow></mml:msup><mml:mo>×</mml:mo><mml:msup><mml:mi>Y</mml:mi><mml:mn mathvariant="normal">6</mml:mn></mml:msup></mml:mrow></mml:mtd></mml:mtr><mml:mtr><mml:mtd><mml:mstyle displaystyle="true" class="stylechange"/></mml:mtd><mml:mtd><mml:mrow><mml:mstyle class="stylechange" displaystyle="true"/><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1.2222044</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">11</mml:mn></mml:mrow></mml:msup><mml:mo>×</mml:mo><mml:msup><mml:mi>Y</mml:mi><mml:mn mathvariant="normal">5</mml:mn></mml:msup></mml:mrow></mml:mtd></mml:mtr><mml:mtr><mml:mtd><mml:mstyle displaystyle="true" class="stylechange"/></mml:mtd><mml:mtd><mml:mrow><mml:mstyle class="stylechange" displaystyle="true"/><mml:mo>+</mml:mo><mml:mn mathvariant="normal">7.1612441</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">8</mml:mn></mml:mrow></mml:msup><mml:mo>×</mml:mo><mml:msup><mml:mi>Y</mml:mi><mml:mn mathvariant="normal">4</mml:mn></mml:msup></mml:mrow></mml:mtd></mml:mtr><mml:mtr><mml:mtd><mml:mstyle displaystyle="true" class="stylechange"/></mml:mtd><mml:mtd><mml:mrow><mml:mstyle class="stylechange" displaystyle="true"/><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2.1017147</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">4</mml:mn></mml:mrow></mml:msup><mml:mo>×</mml:mo><mml:msup><mml:mi>Y</mml:mi><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:mrow></mml:mtd></mml:mtr><mml:mtr><mml:mtd><mml:mstyle class="stylechange" displaystyle="true"/></mml:mtd><mml:mtd><mml:mrow><mml:mstyle class="stylechange" displaystyle="true"/><mml:mo>+</mml:mo><mml:mn mathvariant="normal">3.3316112</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mo>×</mml:mo><mml:msup><mml:mi>Y</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:mrow></mml:mtd></mml:mtr><mml:mlabeledtr id="Ch1.E3"><mml:mtd/><mml:mtd><mml:mstyle displaystyle="true" class="stylechange"/></mml:mtd><mml:mtd><mml:mrow><mml:mstyle class="stylechange" displaystyle="true"/><mml:mo>-</mml:mo><mml:mn mathvariant="normal">273.715025</mml:mn><mml:mo>×</mml:mo><mml:mi>Y</mml:mi><mml:mo>+</mml:mo><mml:mn mathvariant="normal">91703.261</mml:mn><mml:mo>,</mml:mo></mml:mrow></mml:mtd></mml:mlabeledtr></mml:mtable></mml:math></disp-formula>

              where <inline-formula><mml:math id="M142" display="inline"><mml:mrow><mml:mi>Y</mml:mi><mml:mo>=</mml:mo><mml:mi mathvariant="normal">year</mml:mi></mml:mrow></mml:math></inline-formula> (AD) of the sediment accumulation.</p>
</sec>
<sec id="Ch1.S4.SS4.SSS2">
  <title>Biomarker analyses</title>
      <p id="d1e2548">Selected freeze-dried and homogenized samples were analyzed for various
biomarkers at the Department of Marine Geology in the Leibniz Institute for
Baltic Sea Research (IOW) following Kaiser and Arz (2016). Briefly,
0.5–1.0 g of<?pagebreak page3982?> sediment was used for accelerated solvent extraction (Dionex
ASE 350, Thermo Fisher Scientific) with a 9 : 1 volumetric mixture of
dichloromethane and methanol using high pressure (100 bar) and temperature
(100 <inline-formula><mml:math id="M143" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C). After the addition of internal standards (squalane,
nonadecan-2-one, 5<inline-formula><mml:math id="M144" display="inline"><mml:mi mathvariant="italic">α</mml:mi></mml:math></inline-formula>-androstan-3<inline-formula><mml:math id="M145" display="inline"><mml:mi mathvariant="italic">β</mml:mi></mml:math></inline-formula>-ol, and C<inline-formula><mml:math id="M146" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">46</mml:mn></mml:msub></mml:math></inline-formula>-GDGT) for
quantification, the total extracts were divided into four fractions by
microscale silica gel column chromatography. For the determination of Pr and
Ph contents, the apolar alkane fraction was measured on a multichannel Trace
Ultra gas chromatograph (Thermo Fisher Scientific), utilizing a
split/splitless inlet, a DB-5 MS capillary column, and a FID (flame
ionization detector) detector. Peak
identification from the obtained chromatograms was done based on the
comparison of peak retention times with an external standard containing Pr,
Ph, and <inline-formula><mml:math id="M147" display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>-C<inline-formula><mml:math id="M148" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">8</mml:mn></mml:msub></mml:math></inline-formula> to <inline-formula><mml:math id="M149" display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>-C<inline-formula><mml:math id="M150" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">40</mml:mn></mml:msub></mml:math></inline-formula> alkanes, complemented with GC-MS analyses
(see for details Kaiser and Arz, 2016). To calculate the BIT index, the most
polar fraction (including glycerol dialkyl glycerol tetraethers, GDGTs) was
measured with HPLC APCI-MS (Dionex Ultimate 3000 UHPLC, Thermo Fisher
Scientific system coupled to a MSQ Plus, Thermo Fisher Scientific) (see for
details Kaiser and Arz, 2016).</p>
</sec>
<sec id="Ch1.S4.SS4.SSS3">
  <title>Major and trace element contents</title>
      <p id="d1e2622">Elemental contents of the freeze-dried and homogenized samples were estimated
by a combination of ICP-OES (inductively coupled plasma optical emission
spectrometry) and ICP-MS (inductively coupled plasma mass
spectrometry) analysis. Initial ICP-OES analysis for K and Ti was performed
at the Department of Food and Environmental Sciences at the University of
Helsinki. A portion of 0.1–0.2 g of dry
sediment was dissolved in 2.5 mL of HF (38 %) and 2.5 mL of a mixture
of <inline-formula><mml:math id="M151" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">HClO</mml:mi><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> (70 %) and <inline-formula><mml:math id="M152" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">HNO</mml:mi><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> (65 %) (volumetric ratio
3 : 2) in closed Teflon bombs at 90 <inline-formula><mml:math id="M153" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C for 12 h. After
evaporating the acids at 160 <inline-formula><mml:math id="M154" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C, the remaining gel was dissolved in
Suprapur<sup>®</sup> 1 M <inline-formula><mml:math id="M155" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">HNO</mml:mi><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> and analyzed
for K and Ti by ICP-OES (Thermo Fisher Scientific, precision determined by
replicate analyses &lt; 5 %).</p>
      <p id="d1e2680">Accuracy of the initial ICP-OES results was checked by digestion and analysis
of a subset of 28 samples at IOW together with the international reference
material SGR-1b (USGS). A total of 50 mg of dried and ground sediment was
first treated in open Teflon vessels (PDS-6; Heinrichs et al., 1986) with
1 mL <inline-formula><mml:math id="M156" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">HNO</mml:mi><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> (65 %) at 60 <inline-formula><mml:math id="M157" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C for 1 h to oxidize OM.
After addition of 2 mL concentrated HF and 2 mL concentrated
<inline-formula><mml:math id="M158" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">HClO</mml:mi><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>, the closed vessels were heated at 180 <inline-formula><mml:math id="M159" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C for 12 h.
After evaporation of the acids on a hot plate at 180 <inline-formula><mml:math id="M160" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C, the
digestions were fumed off 3 times with 6 M HCl, re-dissolved in 25 ml
2 vol % <inline-formula><mml:math id="M161" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">HNO</mml:mi><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>, and finally measured by ICP-OES (iCAP 7300 Duo,
Thermo Fisher Scientific) for K and Ti using Sc as internal standard.
Precision and accuracy of the measurements of SGR-1b at IOW were respectively
0.7 and <inline-formula><mml:math id="M162" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>5.9 % for K and 0.8 and <inline-formula><mml:math id="M163" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>7 % for Ti. Constant offsets
of up to 20 % were observed between the datasets from Helsinki and IOW
for the 28 samples. A correction factor was thus applied to the results from
the Helsinki data using a linear regression between the IOW and Helsinki
results. The K and Ti data reported in this paper are thus the corrected
Helsinki data and may be considered to have precision and accuracy
&lt; 10 % (this value integrates both the quality of the IOW
measurements and the goodness of fit of the linear regression). Internal
reproducibility between the two sample sets was good (&lt; 7 %),
suggesting that the offsets observed between the respective ICP-OES datasets
from Helsinki and IOW were related to analytical issues rather than the
digestion protocols.</p>
      <p id="d1e2758">ICP-MS was used to determine the contents of Mo, Pb, and the ratio of stable
Pb isotopes (<inline-formula><mml:math id="M164" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">206</mml:mn></mml:msup><mml:mi mathvariant="normal">Pb</mml:mi></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M165" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> <inline-formula><mml:math id="M166" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">207</mml:mn></mml:msup><mml:mi mathvariant="normal">Pb</mml:mi></mml:mrow></mml:math></inline-formula>). ICP-MS analysis (iCAP Q,
Thermo Fisher Scientific) was performed at IOW on the complete set of digests
from Helsinki and the subset of 28 digested samples from IOW. The
international reference material SGR-1b (USGS) served to determine the
precision and accuracy of Mo (<inline-formula><mml:math id="M167" display="inline"><mml:mrow><mml:mn mathvariant="normal">0.7</mml:mn><mml:mo>/</mml:mo><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1.6</mml:mn></mml:mrow></mml:math></inline-formula> %) and Pb (<inline-formula><mml:math id="M168" display="inline"><mml:mrow><mml:mn mathvariant="normal">0.6</mml:mn><mml:mo>/</mml:mo><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2.2</mml:mn></mml:mrow></mml:math></inline-formula> %)
measurements using Rh and Ir as internal standards in KED (kinetic energy discrimination)
mode using He as collision gas. For determination of
<inline-formula><mml:math id="M169" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">206</mml:mn></mml:msup><mml:mi mathvariant="normal">Pb</mml:mi></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M170" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> <inline-formula><mml:math id="M171" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">207</mml:mn></mml:msup><mml:mi mathvariant="normal">Pb</mml:mi></mml:mrow></mml:math></inline-formula> in standard mode, the samples were
diluted to a Pb concentration of <inline-formula><mml:math id="M172" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 1 <inline-formula><mml:math id="M173" display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>g L<inline-formula><mml:math id="M174" 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 the
instrument was tuned to provide best results for the NIST standard SRM-981,
resulting in a precision &lt; 0.07 %.</p>
      <p id="d1e2878">All measured elemental contents were corrected for the weight of the salt in
the pore water using the ambient salinity and porosity (Lenz et al., 2015).
Mass accumulation rates (MARs) of the individual elements were calculated as
follows:
              <disp-formula id="Ch1.E4" content-type="numbered"><mml:math id="M175" display="block"><mml:mrow><mml:msub><mml:mi mathvariant="normal">MAR</mml:mi><mml:mi>x</mml:mi></mml:msub><mml:mo>=</mml:mo><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:msub><mml:mi mathvariant="normal">C</mml:mi><mml:mi>x</mml:mi></mml:msub></mml:mrow><mml:mn mathvariant="normal">100</mml:mn></mml:mfrac></mml:mstyle><mml:mo>×</mml:mo><mml:mi mathvariant="normal">LSR</mml:mi><mml:mo>×</mml:mo><mml:mi mathvariant="normal">DBD</mml:mi><mml:mo>,</mml:mo></mml:mrow></mml:math></disp-formula>
            where C<inline-formula><mml:math id="M176" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> is the element content (%), LSR is the linear sedimentation
rate (cm a<inline-formula><mml:math id="M177" 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>, DBD is the dry bulk density (g cm<inline-formula><mml:math id="M178" display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>, and subscript
<inline-formula><mml:math id="M179" display="inline"><mml:mi>x</mml:mi></mml:math></inline-formula> denotes the element in question.</p>
</sec>
</sec>
</sec>
<sec id="Ch1.S5">
  <title>Results</title>
<sec id="Ch1.S5.SS1">
  <title>Age model</title>
      <?pagebreak page3983?><p id="d1e2974">The three independent varve counts for the continuously laminated recent
sediments (3–76 cm) suggest that this section covers <inline-formula><mml:math id="M180" display="inline"><mml:mrow><mml:mn mathvariant="normal">113</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">5</mml:mn></mml:mrow></mml:math></inline-formula> varve
years of deposition. The <inline-formula><mml:math id="M181" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">137</mml:mn></mml:msup><mml:mi mathvariant="normal">Cs</mml:mi></mml:mrow></mml:math></inline-formula> activity increase at 33 cm core
depth, derived from the Chernobyl nuclear power plant accident in 1986 AD,
enabled us to fix the floating varve chronology, which indicated that the
onset of continuous lamination occurred at <inline-formula><mml:math id="M182" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 1900 AD (Fig. 2). A
similar <inline-formula><mml:math id="M183" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">137</mml:mn></mml:msup><mml:mi mathvariant="normal">Cs</mml:mi></mml:mrow></mml:math></inline-formula> activity increase at this site was found at 32 cm
core depth in a core taken in 2013 AD (Jokinen et al., 2015), implying that
no marked loss of surface sediment occurred during the piston coring. This is
supported by the varve counting, which (after fixing with the <inline-formula><mml:math id="M184" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">137</mml:mn></mml:msup><mml:mi mathvariant="normal">Cs</mml:mi></mml:mrow></mml:math></inline-formula>
activity profile) suggested that the sediment surface was indeed of modern
age (Table 3).</p>
      <p id="d1e3032">The apparent temporal fluctuations in the magnitude of the bulk sediment
reservoir age as indicated by the downcore reversals in <inline-formula><mml:math id="M185" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">14</mml:mn></mml:msup><mml:mi mathvariant="normal">C</mml:mi></mml:mrow></mml:math></inline-formula> age
(Fig. 2; Lougheed et al., 2017) impeded utilization of the bulk sediment
AMS-<inline-formula><mml:math id="M186" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">14</mml:mn></mml:msup><mml:mi mathvariant="normal">C</mml:mi></mml:mrow></mml:math></inline-formula> dates for the construction of the age model. Because our
data did not enable robust correction for such variations, we desisted from
using bulk sediment <inline-formula><mml:math id="M187" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">14</mml:mn></mml:msup><mml:mi mathvariant="normal">C</mml:mi></mml:mrow></mml:math></inline-formula> dates as age constraints.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F2" specific-use="star"><caption><p id="d1e3073">Simplified lithology, constructed age model, and <inline-formula><mml:math id="M188" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">137</mml:mn></mml:msup><mml:mi mathvariant="normal">Cs</mml:mi></mml:mrow></mml:math></inline-formula> and Pb
profiles for the sediment core HAV-KU-6. Correlation of Pb profiles with
pollution Pb reconstructions from two varved lakes in Sweden (data from
Brännvall et al., 1999) are also shown. For details of the indicated age
constraints the reader is referred to Table 2. NaOH-extractable bulk
sediment <inline-formula><mml:math id="M189" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">14</mml:mn></mml:msup><mml:mi mathvariant="normal">C</mml:mi></mml:mrow></mml:math></inline-formula> dates are also indicated, although they were not used for
constructing the age model due to the apparent temporal variation in the
bulk sediment reservoir age. Note the reversed <inline-formula><mml:math id="M190" display="inline"><mml:mi>x</mml:mi></mml:math></inline-formula> axes for the
<inline-formula><mml:math id="M191" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">206</mml:mn></mml:msup><mml:mi mathvariant="normal">Pb</mml:mi></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M192" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> <inline-formula><mml:math id="M193" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">207</mml:mn></mml:msup><mml:mi mathvariant="normal">Pb</mml:mi></mml:mrow></mml:math></inline-formula> profiles. The error bars for the age model indicate
1<inline-formula><mml:math id="M194" display="inline"><mml:mi mathvariant="italic">σ</mml:mi></mml:math></inline-formula> uncertainty range. The linear sedimentation rate (LSR) profile
calculated based on the age model is also shown.</p></caption>
          <?xmltex \igopts{width=426.791339pt}?><graphic xlink:href="https://bg.copernicus.org/articles/15/3975/2018/bg-15-3975-2018-f02.pdf"/>

        </fig>

      <p id="d1e3152">To estimate the content of atmospheric pollution Pb in the sediment, we
applied a simple two-component mixing model following Brännvall et
al. (1999):

                <disp-formula specific-use="align" content-type="numbered"><mml:math id="M195" display="block"><mml:mtable displaystyle="true"><mml:mlabeledtr id="Ch1.E5"><mml:mtd/><mml:mtd><mml:mstyle displaystyle="true" class="stylechange"/></mml:mtd><mml:mtd><mml:mrow><mml:mstyle displaystyle="true" class="stylechange"/><mml:msub><mml:mrow class="chem"><mml:mi mathvariant="normal">Pb</mml:mi></mml:mrow><mml:mi mathvariant="normal">pollution</mml:mi></mml:msub><mml:mo>=</mml:mo></mml:mrow></mml:mtd></mml:mlabeledtr><mml:mtr><mml:mtd><mml:mstyle class="stylechange" displaystyle="true"/></mml:mtd><mml:mtd><mml:mrow><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:mo>(</mml:mo><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">206</mml:mn></mml:msup><mml:mi mathvariant="normal">Pb</mml:mi></mml:mrow><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mo>/</mml:mo><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">207</mml:mn></mml:msup><mml:mi mathvariant="normal">Pb</mml:mi></mml:mrow><mml:msub><mml:mo>)</mml:mo><mml:mi mathvariant="normal">sample</mml:mi></mml:msub><mml:mo>-</mml:mo><mml:mo>(</mml:mo><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">206</mml:mn></mml:msup><mml:mi mathvariant="normal">Pb</mml:mi></mml:mrow><mml:mo>/</mml:mo><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">207</mml:mn></mml:msup><mml:mi mathvariant="normal">Pb</mml:mi></mml:mrow><mml:msub><mml:mo>)</mml:mo><mml:mi mathvariant="normal">background</mml:mi></mml:msub></mml:mrow><mml:mrow><mml:mo>(</mml:mo><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">206</mml:mn></mml:msup><mml:mi mathvariant="normal">Pb</mml:mi></mml:mrow><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mo>/</mml:mo><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">207</mml:mn></mml:msup><mml:mi mathvariant="normal">Pb</mml:mi></mml:mrow><mml:msub><mml:mo>)</mml:mo><mml:mi mathvariant="normal">pollution</mml:mi></mml:msub><mml:mo>-</mml:mo><mml:mo>(</mml:mo><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">206</mml:mn></mml:msup><mml:mi mathvariant="normal">Pb</mml:mi></mml:mrow><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mo>/</mml:mo><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">207</mml:mn></mml:msup><mml:mi mathvariant="normal">Pb</mml:mi></mml:mrow><mml:msub><mml:mo>)</mml:mo><mml:mi mathvariant="normal">background</mml:mi></mml:msub></mml:mrow></mml:mfrac></mml:mstyle><mml:mo>×</mml:mo><mml:msub><mml:mrow class="chem"><mml:mi mathvariant="normal">Pb</mml:mi></mml:mrow><mml:mi mathvariant="normal">sample</mml:mi></mml:msub><mml:mo>.</mml:mo></mml:mrow></mml:mtd></mml:mtr></mml:mtable></mml:math></disp-formula></p>
      <p id="d1e3299">The background isotope composition of Pb was calculated as the mean prior to
the apparent onset of Pb pollution at 900 AD (Fig. 2), which yielded an
estimate of 1.397. We used the age model based on <inline-formula><mml:math id="M196" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">137</mml:mn></mml:msup><mml:mi mathvariant="normal">Cs</mml:mi></mml:mrow></mml:math></inline-formula> dating and varve
counting for the sediments deposited after 1900 AD to assign a
time-dependent <inline-formula><mml:math id="M197" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">206</mml:mn></mml:msup><mml:mi mathvariant="normal">Pb</mml:mi></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M198" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> <inline-formula><mml:math id="M199" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">207</mml:mn></mml:msup><mml:mi mathvariant="normal">Pb</mml:mi></mml:mrow></mml:math></inline-formula> composition for the pollution Pb. We
assumed a constant <inline-formula><mml:math id="M200" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">206</mml:mn></mml:msup><mml:mi mathvariant="normal">Pb</mml:mi></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M201" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> <inline-formula><mml:math id="M202" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">207</mml:mn></mml:msup><mml:mi mathvariant="normal">Pb</mml:mi></mml:mrow></mml:math></inline-formula> ratio of 1.17 for the pollution Pb
prior to 1900 AD, a linear decrease from 1.17 to 1.15 between 1900 and 1945 AD, and a constant ratio of 1.15 since 1945 AD (Brännvall et al.,
1999, and references therein).</p>
      <p id="d1e3377">We found a remarkable consistency between our Pb record and the pollution Pb
profiles of varved lakes in eastern Sweden, where the preindustrial Pb
fallout was mainly sourced from mainland Europe and from the British Isles
(Brännvall et al., 1999; Fig. 2). Hence, we used the main Pb pollution
features found consistently in all of these lakes to constrain an age model
for our sediment core (Fig. 2; Table 3). The onset of medieval Pb pollution
(at 900 AD, Lougheed et al., 2012) and the medieval pollution maximum
(at 1200 AD, Lougheed et al., 2012, 2017; Zillén et al., 2012)
have previously been used as age
constraints in sediments from the Baltic Proper. However, our study is, to
our best knowledge, the first to identify the 1530 AD pollution peak and the
pollution minima of 1350 and 1600 AD (Brännvall et al., 1999; Renberg et
al., 2002) as age–depth points in Baltic Sea sediments.</p>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T3" specific-use="star"><caption><p id="d1e3383">Age constraints given as an input for the age model constructed
using OxCal 4.2 software. Pb pollution features were obtained from
Brännvall et al. (1999). The IDs are as in Fig. 2. Measured bulk
sediment AMS-<inline-formula><mml:math id="M203" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">14</mml:mn></mml:msup><mml:mi mathvariant="normal">C</mml:mi></mml:mrow></mml:math></inline-formula> dates are given as <inline-formula><mml:math id="M204" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">14</mml:mn></mml:msup><mml:mi mathvariant="normal">C</mml:mi></mml:mrow></mml:math></inline-formula> ages without any
calibration or reservoir effect correction, although they were not used in
the age model due to the large uncertainties in the bulk sediment reservoir
effect.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="6">
     <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="right"/>
     <oasis:colspec colnum="5" colname="col5" align="right"/>
     <oasis:colspec colnum="6" colname="col6" align="right"/>
     <oasis:thead>
       <oasis:row>
         <oasis:entry colname="col1">Dating</oasis:entry>
         <oasis:entry colname="col2">Event</oasis:entry>
         <oasis:entry colname="col3">ID</oasis:entry>
         <oasis:entry colname="col4">Core depth</oasis:entry>
         <oasis:entry colname="col5">Age</oasis:entry>
         <oasis:entry colname="col6">Age uncertainty</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">method</oasis:entry>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3"/>
         <oasis:entry colname="col4">(cm)</oasis:entry>
         <oasis:entry colname="col5">(year AD)</oasis:entry>
         <oasis:entry colname="col6">(<inline-formula><mml:math id="M205" display="inline"><mml:mo lspace="0mm">±</mml:mo></mml:math></inline-formula>1<inline-formula><mml:math id="M206" display="inline"><mml:mi mathvariant="italic">σ</mml:mi></mml:math></inline-formula>)</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>
         <oasis:entry colname="col1">Varves</oasis:entry>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3"/>
         <oasis:entry colname="col4">3</oasis:entry>
         <oasis:entry colname="col5">2014</oasis:entry>
         <oasis:entry colname="col6">5</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Varves</oasis:entry>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3"/>
         <oasis:entry colname="col4">13</oasis:entry>
         <oasis:entry colname="col5">2006</oasis:entry>
         <oasis:entry colname="col6">5</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Varves</oasis:entry>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3"/>
         <oasis:entry colname="col4">23</oasis:entry>
         <oasis:entry colname="col5">1997</oasis:entry>
         <oasis:entry colname="col6">5</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Cs-137</oasis:entry>
         <oasis:entry colname="col2">Chernobyl</oasis:entry>
         <oasis:entry colname="col3">Cs-1</oasis:entry>
         <oasis:entry colname="col4">33</oasis:entry>
         <oasis:entry colname="col5">1986</oasis:entry>
         <oasis:entry colname="col6">2</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Varves</oasis:entry>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3"/>
         <oasis:entry colname="col4">43</oasis:entry>
         <oasis:entry colname="col5">1970</oasis:entry>
         <oasis:entry colname="col6">5</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Varves</oasis:entry>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3"/>
         <oasis:entry colname="col4">53</oasis:entry>
         <oasis:entry colname="col5">1951</oasis:entry>
         <oasis:entry colname="col6">5</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Varves</oasis:entry>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3"/>
         <oasis:entry colname="col4">63</oasis:entry>
         <oasis:entry colname="col5">1931</oasis:entry>
         <oasis:entry colname="col6">5</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Varves</oasis:entry>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3"/>
         <oasis:entry colname="col4">73</oasis:entry>
         <oasis:entry colname="col5">1908</oasis:entry>
         <oasis:entry colname="col6">5</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Varves</oasis:entry>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3"/>
         <oasis:entry colname="col4">76</oasis:entry>
         <oasis:entry colname="col5">1901</oasis:entry>
         <oasis:entry colname="col6">5</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Pb pollution</oasis:entry>
         <oasis:entry colname="col2">Pollution minimum</oasis:entry>
         <oasis:entry colname="col3">Pb-1</oasis:entry>
         <oasis:entry colname="col4">140</oasis:entry>
         <oasis:entry colname="col5">1600</oasis:entry>
         <oasis:entry colname="col6">56</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Pb pollution</oasis:entry>
         <oasis:entry colname="col2">Pollution maximum</oasis:entry>
         <oasis:entry colname="col3">Pb-2</oasis:entry>
         <oasis:entry colname="col4">155</oasis:entry>
         <oasis:entry colname="col5">1530</oasis:entry>
         <oasis:entry colname="col6">56</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Pb pollution</oasis:entry>
         <oasis:entry colname="col2">Pollution minimum</oasis:entry>
         <oasis:entry colname="col3">Pb-3</oasis:entry>
         <oasis:entry colname="col4">179</oasis:entry>
         <oasis:entry colname="col5">1350</oasis:entry>
         <oasis:entry colname="col6">50</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Pb pollution</oasis:entry>
         <oasis:entry colname="col2">Medieval pollution peak</oasis:entry>
         <oasis:entry colname="col3">Pb-4</oasis:entry>
         <oasis:entry colname="col4">219</oasis:entry>
         <oasis:entry colname="col5">1200</oasis:entry>
         <oasis:entry colname="col6">71</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Pb pollution</oasis:entry>
         <oasis:entry colname="col2">Onset of medieval pollution</oasis:entry>
         <oasis:entry colname="col3">Pb-5</oasis:entry>
         <oasis:entry colname="col4">289</oasis:entry>
         <oasis:entry colname="col5">900</oasis:entry>
         <oasis:entry colname="col6">50</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">AMS-<inline-formula><mml:math id="M207" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">14</mml:mn></mml:msup><mml:mi mathvariant="normal">C</mml:mi></mml:mrow></mml:math></inline-formula> dates</oasis:entry>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3"/>
         <oasis:entry colname="col4"/>
         <oasis:entry colname="col5"/>
         <oasis:entry colname="col6"/>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Radiocarbon</oasis:entry>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3">Poz-76784</oasis:entry>
         <oasis:entry colname="col4">72.5</oasis:entry>
         <oasis:entry colname="col5">725</oasis:entry>
         <oasis:entry colname="col6">30</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Radiocarbon</oasis:entry>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3">Poz-76785</oasis:entry>
         <oasis:entry colname="col4">147.5</oasis:entry>
         <oasis:entry colname="col5">670</oasis:entry>
         <oasis:entry colname="col6">30</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Radiocarbon</oasis:entry>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3">Poz-81729</oasis:entry>
         <oasis:entry colname="col4">174.5</oasis:entry>
         <oasis:entry colname="col5">660</oasis:entry>
         <oasis:entry colname="col6">30</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Radiocarbon</oasis:entry>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3">Poz-81730</oasis:entry>
         <oasis:entry colname="col4">212.5</oasis:entry>
         <oasis:entry colname="col5">670</oasis:entry>
         <oasis:entry colname="col6">30</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Radiocarbon</oasis:entry>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3">Poz-79786</oasis:entry>
         <oasis:entry colname="col4">229.5</oasis:entry>
         <oasis:entry colname="col5">270</oasis:entry>
         <oasis:entry colname="col6">30</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Radiocarbon</oasis:entry>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3">Poz-81731</oasis:entry>
         <oasis:entry colname="col4">260.5</oasis:entry>
         <oasis:entry colname="col5">270</oasis:entry>
         <oasis:entry colname="col6">30</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Radiocarbon</oasis:entry>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3">Poz-76787</oasis:entry>
         <oasis:entry colname="col4">304.5</oasis:entry>
         <oasis:entry colname="col5">60</oasis:entry>
         <oasis:entry colname="col6">30</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Radiocarbon</oasis:entry>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3">Poz-81732</oasis:entry>
         <oasis:entry colname="col4">350.5</oasis:entry>
         <oasis:entry colname="col5"><inline-formula><mml:math id="M208" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">15</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col6">30</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Radiocarbon</oasis:entry>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3">Poz-76788</oasis:entry>
         <oasis:entry colname="col4">389.5</oasis:entry>
         <oasis:entry colname="col5">15</oasis:entry>
         <oasis:entry colname="col6">30</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

      <p id="d1e4012">A conservative 1<inline-formula><mml:math id="M209" display="inline"><mml:mi mathvariant="italic">σ</mml:mi></mml:math></inline-formula> uncertainty of 50 years for all of the Pb
constraints was assumed. In addition to this, we assigned an additional
uncertainty for the Pb age constraints in cases where the position of the
feature was ambiguous by first calculating the mean LSR for the 900–1900 AD
period (from the sharp onset of Pb pollution to the onset of continuous
lamination). Based on this LSR estimate (0.21 cm a<inline-formula><mml:math id="M210" 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 the width of
the Pb features, an additional uncertainty was added to these constraints by
assuming that the width of each recognized feature in our Pb profile
corresponds to the 2<inline-formula><mml:math id="M211" display="inline"><mml:mi mathvariant="italic">σ</mml:mi></mml:math></inline-formula> uncertainty in the correlation with the
Swedish pollution Pb records.</p>
      <p id="d1e4044">The obtained age constraints (Table 3) were used to construct a Bayesian age
model in OxCal 4.2 software (Bronk Ramsey, 2009), using the <inline-formula><mml:math id="M212" display="inline"><mml:mi>P</mml:mi></mml:math></inline-formula>-sequence function
(Bronk Ramsey, 2008) with a <inline-formula><mml:math id="M213" display="inline"><mml:mi>k</mml:mi></mml:math></inline-formula> value of 20. The resulting age model indicates
that the core HAV-KU-6 covers <inline-formula><mml:math id="M214" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 1500 years of depositional history in
the area (Fig. 2). A substantial increase in LSR is observed coincident with
the onset of laminated sediment accumulation at 76 cm depth (Fig. 2).</p>
</sec>
<sec id="Ch1.S5.SS2">
  <title>Lithology and trace fossils</title>
      <p id="d1e4074">The sediment in the core HAV-KU-6 is characterized by organic-rich mud,
which conforms to the brackish-water mud drift sensu Virtasalo et al. (2007), indicative of recent deposition in the basin. Based on lithology,
the core can be divided into four units as described below (Figs. 2 and 3).
These units approximately correspond to the pre-MCA, MCA, LIA, and MoWP
intervals (Fig. 3).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F3" specific-use="star"><caption><p id="d1e4079">X-radiographs of different lithological units together with their
interpretations. <bold>(a)</bold> Intensely <italic>Planolites</italic>-mottled
sedimentary fabric characterized by a low number of distinct traces.
<bold>(b)</bold> Thinly bedded sedimentary fabric overprinted by abundant
<italic>Planolites</italic> trace fossils. The lowermost bed is disturbed by bivalve
biodeformation (bbd). <bold>(c)</bold> Intensely burrow-mottled sedimentary
fabric with abundant <italic>Planolites</italic> (Pl) and <italic>Arenicolites</italic> (Ar)
trace fossils. <bold>(d)</bold> Sharply laminated sedimentary fabric punctuated
with gentle blurring of the lamination. The black holes in the X-radiographs
are artefacts produced by holes in the sample boxes.</p></caption>
          <?xmltex \igopts{width=369.885827pt}?><graphic xlink:href="https://bg.copernicus.org/articles/15/3975/2018/bg-15-3975-2018-f03.pdf"/>

        </fig>

      <p id="d1e4113">The basal part (393–324 cm, <inline-formula><mml:math id="M215" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 500–780 AD) of the core HAV-KU-6 roughly
corresponds to the pre-MCA interval and comprises seemingly homogenous
greenish-brown mud. The X-radiographs show that this mud is intensely
burrow mottled (<italic>Planolites</italic> mottling) and is thus characterized by a
bioturbation index of 4 (Fig. 4), although discrete trace fossils are hardly
discernible due to the high burrow density and low contrast enhancement by
pyritization along the burrows (Fig. 3a), probably resulting in substantial
underestimation of the number of traces. The upper contact to the
thinly bedded mud is relatively sharp, but no clear signs of erosion are
observed in the X-radiograph.</p>
      <p id="d1e4126">The thinly bedded mud (324–201 cm, <inline-formula><mml:math id="M216" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 780–1290 AD) roughly corresponds
to the MCA interval and comprises 2–5 cm thick beds, which are
burrow mottled and poorly graded, and locally inverse graded (Fig. 3b).
The bioturbation index in this unit varies from 3 to 4 depending on the
preservation of the beds (Fig. 4). In places where the bedding pattern is
clearly visible, the basal parts of the beds are dark grey and appear dark in
the X-radiographs, suggesting relatively low density. In contrast, the upper
parts of the beds are greenish-grey and appear bright in the X-radiographs,
pointing to higher density and coarser grain size. The beds are mottled by
abundant <italic>Planolites</italic>, rare to abundant <italic>Arenicolites</italic>, and
rare large <italic>Planolites</italic> ichnofossils and complex bivalve
biodeformational structures (Figs. 3b and 4).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F4" specific-use="star"><caption><p id="d1e4148">Profiles of median grain size and Ti <inline-formula><mml:math id="M217" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> K denoting fluctuations
in local hydrodynamic conditions plotted together with the proxies for
hypoxia intensity.</p></caption>
          <?xmltex \igopts{width=369.885827pt}?><graphic xlink:href="https://bg.copernicus.org/articles/15/3975/2018/bg-15-3975-2018-f04.pdf"/>

        </fig>

      <p id="d1e4164">The thinly bedded mud is gradationally overlain by greenish-grey mud roughly
corresponding to the LIA interval (201–76 cm, <inline-formula><mml:math id="M218" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 1290–1900 AD), with
occasional 1–4 cm thick indistinctly laminated intervals. In general, this
unit is characterized by a complete obliteration of the primary
sedimentary fabric (bioturbation index of 4) and the trace fossil assemblage
comprises abundant <italic>Planolites</italic> and <italic>Arenicolites</italic>, rare large
<italic>Planolites</italic>, and complex bivalve biodeformational structures
(Figs. 3c and 4). The bioturbation index<?pagebreak page3984?> and the number of traces decline rapidly
at 91 cm core depth (<inline-formula><mml:math id="M219" display="inline"><mml:mo lspace="0mm">∼</mml:mo></mml:math></inline-formula> 1820 AD) and remain low to the top of the
unit (Fig. 4). The upper contact to the sharply laminated mud is gradational.</p>
      <p id="d1e4190">The sharply laminated mud (76–0 cm) roughly corresponds to the MoWP and
comprises rhythmically alternating light brown, black, and grey laminae. The
thickness of the individual lamina successions varies from 2 to 13 mm, with
a generally upward increasing trend, which partly results from decreasing
compaction. These laminites correspond to the varves
described by Jokinen et al. (2015). Trace fossils are virtually absent in
this unit (bioturbation index of 1–2), although occasional blurring of the
laminations is observed (Figs. 3d and 4). Black sulfide staining becomes
predominant from 53 cm upwards.</p>
</sec>
<sec id="Ch1.S5.SS3">
  <title>Geochemistry</title>
<sec id="Ch1.S5.SS3.SSS1">
  <title>Lithogenic components: trends over the entire study interval</title>
      <p id="d1e4204">Median grain size (range 1.8–2.4 <inline-formula><mml:math id="M220" display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>m) and Ti <inline-formula><mml:math id="M221" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> K (range
0.146–0.159) are closely coupled and show a generally decreasing trend
towards the present (Fig. 4). Superimposed on this trend the LIA stands out
as an interval of decreased values in both profiles (median grain size
<inline-formula><mml:math id="M222" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 1.9 <inline-formula><mml:math id="M223" display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>m, Ti <inline-formula><mml:math id="M224" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> K <inline-formula><mml:math id="M225" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 0.149) in comparison to the
pre-MCA, MCA, and MoWP.</p>
</sec>
<sec id="Ch1.S5.SS3.SSS2">
  <title>Organic component: trends over the entire study interval</title>
      <p id="d1e4256">The proxies for organic matter contents and composition correlate strongly
with each other and show profiles very similar to those in Ti <inline-formula><mml:math id="M226" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> K and
grain size (e.g., Ti <inline-formula><mml:math id="M227" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> K vs. C<inline-formula><mml:math id="M228" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">org</mml:mi></mml:msub></mml:math></inline-formula> <inline-formula><mml:math id="M229" display="inline"><mml:mrow><mml:msub><mml:mi>r</mml:mi><mml:mi mathvariant="normal">s</mml:mi></mml:msub><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.83</mml:mn></mml:mrow></mml:math></inline-formula>,
<inline-formula><mml:math id="M230" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula> &lt; 0.001; Table 4). Namely, the organic proxies display a
long-term trend (towards lower C<inline-formula><mml:math id="M231" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">org</mml:mi></mml:msub></mml:math></inline-formula> content and
<inline-formula><mml:math id="M232" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">13</mml:mn></mml:msup><mml:mi mathvariant="normal">C</mml:mi></mml:mrow></mml:math></inline-formula><inline-formula><mml:math id="M233" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">org</mml:mi></mml:msub></mml:math></inline-formula>, higher BIT and C <inline-formula><mml:math id="M234" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> N) onto which
changes during the MCA and MoWP (towards higher C<inline-formula><mml:math id="M235" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">org</mml:mi></mml:msub></mml:math></inline-formula> content and
<inline-formula><mml:math id="M236" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">13</mml:mn></mml:msup><mml:mi mathvariant="normal">C</mml:mi></mml:mrow></mml:math></inline-formula><inline-formula><mml:math id="M237" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">org</mml:mi></mml:msub></mml:math></inline-formula>, lower BIT and C <inline-formula><mml:math id="M238" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> N) are superimposed
(Fig. 5). Despite the relatively narrow ranges of values for C<inline-formula><mml:math id="M239" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">org</mml:mi></mml:msub></mml:math></inline-formula>
(2.9–4.5 %), C <inline-formula><mml:math id="M240" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> N (8.6–9.9), BIT index (0.18–0.29), and
<inline-formula><mml:math id="M241" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">13</mml:mn></mml:msup><mml:mi mathvariant="normal">C</mml:mi></mml:mrow></mml:math></inline-formula><inline-formula><mml:math id="M242" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">org</mml:mi></mml:msub></mml:math></inline-formula> (<inline-formula><mml:math id="M243" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">23.9</mml:mn></mml:mrow></mml:math></inline-formula> to <inline-formula><mml:math id="M244" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">22.2</mml:mn></mml:mrow></mml:math></inline-formula> ‰), variability
in these proxies is internally consistent over the last 1500 years (Fig. 5).
The MAR of C<inline-formula><mml:math id="M245" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">org</mml:mi></mml:msub></mml:math></inline-formula> remained between 20 and 50 g m<inline-formula><mml:math id="M246" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> a<inline-formula><mml:math id="M247" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>
until the onset of the 20th century, after which it increased up to
<inline-formula><mml:math id="M248" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 100 g m<inline-formula><mml:math id="M249" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> a<inline-formula><mml:math id="M250" 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> by the end of the century. Meanwhile, the
bulk sedimentary <inline-formula><mml:math id="M251" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">15</mml:mn></mml:msup><mml:mi mathvariant="normal">N</mml:mi></mml:mrow></mml:math></inline-formula> remained fairly constant
(3.1–3.5 ‰) throughout much of the study period, until a steady
increase from 3.4 to 5.2 ‰ in the 1900s.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F5" specific-use="star"><caption><p id="d1e4518">Geochemical profiles reflecting the delivery and preservation of
organic material in the basin. Fractions of C<inline-formula><mml:math id="M252" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">org</mml:mi></mml:msub></mml:math></inline-formula> were calculated from
molar C <inline-formula><mml:math id="M253" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> N ratios, applying end-member values of 25 and 7.7 for
terrestrial and phytoplankton-derived C<inline-formula><mml:math id="M254" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">org</mml:mi></mml:msub></mml:math></inline-formula>, respectively. A
loess-smoothed dendroclimatic summer temperature reconstruction for
southeastern Finland (data from Helama et al., 2014) is also shown. Note the
marked decline in the input of phytoplankton-derived C<inline-formula><mml:math id="M255" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">org</mml:mi></mml:msub></mml:math></inline-formula> during
the LIA.</p></caption>
            <?xmltex \igopts{width=369.885827pt}?><graphic xlink:href="https://bg.copernicus.org/articles/15/3975/2018/bg-15-3975-2018-f05.pdf"/>

          </fig>

<?xmltex \hack{\newpage}?>
</sec>
<?pagebreak page3985?><sec id="Ch1.S5.SS3.SSS3">
  <title>Proxies for hypoxia: trends over the entire study interval</title>
      <p id="d1e4569">Sedimentary Mo content and MAR (ranges 2–8 mg kg<inline-formula><mml:math id="M256" 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
0.09–1.21 <inline-formula><mml:math id="M257" display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>g cm<inline-formula><mml:math id="M258" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> a<inline-formula><mml:math id="M259" 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> display negligible changes
throughout the pre-MCA, MCA, and LIA intervals, but increase to maximum
values during the MoWP (Fig. 4). When expressed as MAR, the recent increase
in Mo continues to the present day (Fig. 6). The correlation between Mo and
C<inline-formula><mml:math id="M260" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">org</mml:mi></mml:msub></mml:math></inline-formula> is generally weak (<inline-formula><mml:math id="M261" display="inline"><mml:mrow><mml:msub><mml:mi>r</mml:mi><mml:mi mathvariant="normal">s</mml:mi></mml:msub><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.18</mml:mn></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M262" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M263" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 0.04), although
this improves towards the present (i.e., when considering the LIA and MoWP
intervals only, Fig. S1 in the Supplement).</p>
      <p id="d1e4657">Pr <inline-formula><mml:math id="M264" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> Ph ratio also shows little systematic change throughout most of the
record, recording values in the range of 0.4–1.0 from the pre-MCA to the
early MoWP. Coincident with the subrecent increase in Mo, Pr <inline-formula><mml:math id="M265" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> Ph drops
sharply to nearly zero at the depth interval corresponding to 1960 AD,
before recovering to 0.6 in the most recent sediments (Fig. 4). Throughout
the entire record, Mo and Pr <inline-formula><mml:math id="M266" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> Ph show a negative correlation (<inline-formula><mml:math id="M267" display="inline"><mml:mrow><mml:msub><mml:mi>r</mml:mi><mml:mi mathvariant="normal">s</mml:mi></mml:msub><mml:mo>=</mml:mo><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.48</mml:mn></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M268" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula> &lt; 0.001; Fig. S1; Table 4).</p>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T4" specific-use="star"><caption><p id="d1e4708">Spearman rank correlation (<inline-formula><mml:math id="M269" display="inline"><mml:mrow><mml:msub><mml:mi>r</mml:mi><mml:mi mathvariant="normal">s</mml:mi></mml:msub><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> matrix for selected variables.
The number of stars denotes the degree of significance for each pair of
variables: *** for very high significance (<inline-formula><mml:math id="M270" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula> &lt; 0.001), ** for
high significance (0.001 &lt; <inline-formula><mml:math id="M271" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula> &lt; 0.01), * for
significance (0.01 &lt; <inline-formula><mml:math id="M272" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula> &lt; 0.05), and no symbol for weak
or no significance (<inline-formula><mml:math id="M273" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula> &lt; 0.05). Correlation coefficients with absolute
values exceeding 0.70 are bolded.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="11">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="right"/>
     <oasis:colspec colnum="3" colname="col3" align="right"/>
     <oasis:colspec colnum="4" colname="col4" align="right"/>
     <oasis:colspec colnum="5" colname="col5" align="right"/>
     <oasis:colspec colnum="6" colname="col6" align="right"/>
     <oasis:colspec colnum="7" colname="col7" align="right"/>
     <oasis:colspec colnum="8" colname="col8" align="right"/>
     <oasis:colspec colnum="9" colname="col9" align="right"/>
     <oasis:colspec colnum="10" colname="col10" align="right"/>
     <oasis:colspec colnum="11" colname="col11" align="right"/>
     <oasis:thead>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2">C<inline-formula><mml:math id="M274" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">org</mml:mi></mml:msub></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">C <inline-formula><mml:math id="M275" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> N</oasis:entry>
         <oasis:entry colname="col4">C<inline-formula><mml:math id="M276" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">org</mml:mi></mml:msub></mml:math></inline-formula> MAR</oasis:entry>
         <oasis:entry colname="col5">BIT</oasis:entry>
         <oasis:entry colname="col6">Mo</oasis:entry>
         <oasis:entry colname="col7">Mo MAR</oasis:entry>
         <oasis:entry colname="col8">Pr <inline-formula><mml:math id="M277" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> Ph</oasis:entry>
         <oasis:entry colname="col9">Ti <inline-formula><mml:math id="M278" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> K</oasis:entry>
         <oasis:entry colname="col10"><inline-formula><mml:math id="M279" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">13</mml:mn></mml:msup><mml:mi mathvariant="normal">C</mml:mi></mml:mrow></mml:math></inline-formula><inline-formula><mml:math id="M280" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">org</mml:mi></mml:msub></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col11"><inline-formula><mml:math id="M281" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">15</mml:mn></mml:msup><mml:mi mathvariant="normal">N</mml:mi></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>
         <oasis:entry colname="col1">C<inline-formula><mml:math id="M282" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">org</mml:mi></mml:msub></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col2">1</oasis:entry>
         <oasis:entry colname="col3">***</oasis:entry>
         <oasis:entry colname="col4">***</oasis:entry>
         <oasis:entry colname="col5">***</oasis:entry>
         <oasis:entry colname="col6">*</oasis:entry>
         <oasis:entry colname="col7">***</oasis:entry>
         <oasis:entry colname="col8">–</oasis:entry>
         <oasis:entry colname="col9">***</oasis:entry>
         <oasis:entry colname="col10">**</oasis:entry>
         <oasis:entry colname="col11">–</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">C <inline-formula><mml:math id="M283" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> N</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M284" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="bold">0.73</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">1</oasis:entry>
         <oasis:entry colname="col4">***</oasis:entry>
         <oasis:entry colname="col5">***</oasis:entry>
         <oasis:entry colname="col6">**</oasis:entry>
         <oasis:entry colname="col7">–</oasis:entry>
         <oasis:entry colname="col8">***</oasis:entry>
         <oasis:entry colname="col9">***</oasis:entry>
         <oasis:entry colname="col10">**</oasis:entry>
         <oasis:entry colname="col11">–</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">C<inline-formula><mml:math id="M285" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">org</mml:mi></mml:msub></mml:math></inline-formula> MAR</oasis:entry>
         <oasis:entry colname="col2"><bold>0.70</bold></oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M286" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.34</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4">1</oasis:entry>
         <oasis:entry colname="col5">**</oasis:entry>
         <oasis:entry colname="col6">***</oasis:entry>
         <oasis:entry colname="col7">***</oasis:entry>
         <oasis:entry colname="col8">*</oasis:entry>
         <oasis:entry colname="col9">***</oasis:entry>
         <oasis:entry colname="col10">–</oasis:entry>
         <oasis:entry colname="col11">**</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">BIT</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M287" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="bold">0.74</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3"><bold>0.76</bold></oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M288" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.38</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col5">1</oasis:entry>
         <oasis:entry colname="col6">–</oasis:entry>
         <oasis:entry colname="col7">–</oasis:entry>
         <oasis:entry colname="col8">***</oasis:entry>
         <oasis:entry colname="col9">***</oasis:entry>
         <oasis:entry colname="col10">***</oasis:entry>
         <oasis:entry colname="col11">–</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Mo</oasis:entry>
         <oasis:entry colname="col2">0.18</oasis:entry>
         <oasis:entry colname="col3">0.23</oasis:entry>
         <oasis:entry colname="col4">0.54</oasis:entry>
         <oasis:entry colname="col5">0.07</oasis:entry>
         <oasis:entry colname="col6">1</oasis:entry>
         <oasis:entry colname="col7">***</oasis:entry>
         <oasis:entry colname="col8">***</oasis:entry>
         <oasis:entry colname="col9">*</oasis:entry>
         <oasis:entry colname="col10">–</oasis:entry>
         <oasis:entry colname="col11">–</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Mo MAR</oasis:entry>
         <oasis:entry colname="col2">0.37</oasis:entry>
         <oasis:entry colname="col3">0.04</oasis:entry>
         <oasis:entry colname="col4"><bold>0.80</bold></oasis:entry>
         <oasis:entry colname="col5"><inline-formula><mml:math id="M289" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.03</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col6"><bold>0.91</bold></oasis:entry>
         <oasis:entry colname="col7">1</oasis:entry>
         <oasis:entry colname="col8">***</oasis:entry>
         <oasis:entry colname="col9">***</oasis:entry>
         <oasis:entry colname="col10">–</oasis:entry>
         <oasis:entry colname="col11">**</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Pr <inline-formula><mml:math id="M290" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> Ph</oasis:entry>
         <oasis:entry colname="col2">0.20</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M291" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.52</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M292" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.30</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col5"><inline-formula><mml:math id="M293" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.41</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col6"><inline-formula><mml:math id="M294" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.48</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col7"><inline-formula><mml:math id="M295" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.47</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col8">1</oasis:entry>
         <oasis:entry colname="col9">–</oasis:entry>
         <oasis:entry colname="col10">*</oasis:entry>
         <oasis:entry colname="col11">*</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Ti <inline-formula><mml:math id="M296" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> K</oasis:entry>
         <oasis:entry colname="col2"><bold>0.83</bold></oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M297" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.53</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4"><bold>0.80</bold></oasis:entry>
         <oasis:entry colname="col5"><inline-formula><mml:math id="M298" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.68</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col6">0.40</oasis:entry>
         <oasis:entry colname="col7">0.58</oasis:entry>
         <oasis:entry colname="col8">0.05</oasis:entry>
         <oasis:entry colname="col9">1</oasis:entry>
         <oasis:entry colname="col10">***</oasis:entry>
         <oasis:entry colname="col11">–</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"><inline-formula><mml:math id="M299" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">13</mml:mn></mml:msup><mml:mi mathvariant="normal">C</mml:mi></mml:mrow></mml:math></inline-formula><inline-formula><mml:math id="M300" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">org</mml:mi></mml:msub></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col2">0.51</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M301" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.52</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4">0.09</oasis:entry>
         <oasis:entry colname="col5"><inline-formula><mml:math id="M302" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="bold">0.76</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col6"><inline-formula><mml:math id="M303" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.12</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col7"><inline-formula><mml:math id="M304" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.14</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col8">0.43</oasis:entry>
         <oasis:entry colname="col9">0.63</oasis:entry>
         <oasis:entry colname="col10">1</oasis:entry>
         <oasis:entry colname="col11">**</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"><inline-formula><mml:math id="M305" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">15</mml:mn></mml:msup><mml:mi mathvariant="normal">N</mml:mi></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col2">0.12</oasis:entry>
         <oasis:entry colname="col3">0.12</oasis:entry>
         <oasis:entry colname="col4">0.46</oasis:entry>
         <oasis:entry colname="col5">0.22</oasis:entry>
         <oasis:entry colname="col6">0.34</oasis:entry>
         <oasis:entry colname="col7">0.47</oasis:entry>
         <oasis:entry colname="col8"><inline-formula><mml:math id="M306" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.44</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col9">0.04</oasis:entry>
         <oasis:entry colname="col10"><inline-formula><mml:math id="M307" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.54</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col11">1</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

<?xmltex \hack{\newpage}?>
</sec>
<sec id="Ch1.S5.SS3.SSS4">
  <title>Trends during the Modern Warm Period</title>
      <p id="d1e5488">The recent changes observed in our proxies during the MoWP are complex and
are described here in more detail. The LIA–MoWP transition (1800–1900 AD)
was characterized by low Mo and C<inline-formula><mml:math id="M308" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">org</mml:mi></mml:msub></mml:math></inline-formula> contents and MARs (range
during the MoWP 0.17–1.21 <inline-formula><mml:math id="M309" display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>g cm<inline-formula><mml:math id="M310" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> a<inline-formula><mml:math id="M311" 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
22–122 g m<inline-formula><mml:math id="M312" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> a<inline-formula><mml:math id="M313" 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>, respectively) as well as low sediment MAR
(range during the MoWP 0.7–2.9 kg m<inline-formula><mml:math id="M314" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> a<inline-formula><mml:math id="M315" 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 high Pr <inline-formula><mml:math id="M316" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> Ph
(Fig. 6). At 1900 AD, coinciding with the onset of continuous laminations,
MARs of Mo, C<inline-formula><mml:math id="M317" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">org</mml:mi></mml:msub></mml:math></inline-formula>, and sediment increased contemporaneously with a
marked decrease in Pr <inline-formula><mml:math id="M318" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> Ph. After this point, the strongly enhanced
sediment MAR appears to partially dilute the Mo content, particularly in the
late 20th century (see also Fig. 4). Hence we focus on the MAR of Mo as a
proxy for recent changes in hypoxia during the MoWP. The Mo MAR shows a
steady increase throughout the MoWP, displaying several decadal-scale
oscillations (Fig. 6).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F6" specific-use="star"><caption><p id="d1e5608">Comparison of possible climatic and anthropogenic drivers of
eutrophication in the study area versus geochemical profiles reflecting the
sources and delivery of organic
matter to the sediment (C<inline-formula><mml:math id="M319" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">org</mml:mi></mml:msub></mml:math></inline-formula>, <inline-formula><mml:math id="M320" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">13</mml:mn></mml:msup><mml:mi mathvariant="normal">C</mml:mi></mml:mrow></mml:math></inline-formula><inline-formula><mml:math id="M321" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">org</mml:mi></mml:msub></mml:math></inline-formula>,
and <inline-formula><mml:math id="M322" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">15</mml:mn></mml:msup><mml:mi mathvariant="normal">N</mml:mi></mml:mrow></mml:math></inline-formula>) and redox conditions at the sediment–water
interface (content and MAR of Mo, Pr <inline-formula><mml:math id="M323" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> Ph ratio) over the past
<inline-formula><mml:math id="M324" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 200 years. Modeled development of hypoxic area in the Baltic Sea
(redrawn from Carstensen et al., 2014b), excluding Kattegat, Danish straits,
and the coastal zone, is shown for reference. Data regarding agricultural
practices in Finland (annual sales of N and P fertilizers and area of
cultivated land) were obtained from the Natural Resources Institute of
Finland. Maximum ice extent data for the Baltic Sea (MIB) was provided by the
Finnish Meteorological Institute (30-year moving average with error range
indicated for the early estimates), and the summer temperature record for the
city of Turku (shown as 11-year running mean) was retrieved from Tuomenvirta
et al. (2015). The population growth curve for the city of Turku was compiled
from Lahtinen (2014) and data provided by the Population Register Centre of
Finland.</p></caption>
            <?xmltex \igopts{width=369.885827pt}?><graphic xlink:href="https://bg.copernicus.org/articles/15/3975/2018/bg-15-3975-2018-f06.pdf"/>

          </fig>

      <p id="d1e5674">Despite declining rapidly after the onset of continuous laminations,
Pr <inline-formula><mml:math id="M325" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> Ph recovered to pre-MoWP values in the period 1990 AD–present
(Fig. 6). The possible reasons for this observation are discussed below.
Meanwhile, the proxies for organic matter composition during the MoWP<?pagebreak page3986?> are
consistent with a steady increase in the relative supply of autochthonous
material. The <inline-formula><mml:math id="M326" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">13</mml:mn></mml:msup><mml:mi mathvariant="normal">C</mml:mi></mml:mrow></mml:math></inline-formula><inline-formula><mml:math id="M327" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">org</mml:mi></mml:msub></mml:math></inline-formula> values increase
progressively from 1900 AD to present (<inline-formula><mml:math id="M328" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">23.6</mml:mn></mml:mrow></mml:math></inline-formula> to
<inline-formula><mml:math id="M329" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">22.2</mml:mn></mml:mrow></mml:math></inline-formula> ‰), while C <inline-formula><mml:math id="M330" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> N declines from
9.8 to 9.1.</p>
</sec>
</sec>
</sec>
<sec id="Ch1.S6">
  <title>Discussion</title>
<sec id="Ch1.S6.SS1">
  <title>Physical changes in the depositional conditions</title>
      <p id="d1e5745">Although the Haverö basin has been an enclosed basin throughout the study
period (Fig. 1b), the glacio-isostatic rebound has resulted in progressively
calmer depositional conditions in the area, as evidenced by the generally
decreasing trajectories in Ti <inline-formula><mml:math id="M331" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> K and grain size over the past 1500 years
(Fig. 4). Assuming a constant glacio-isostatic uplift rate of 4 mm a<inline-formula><mml:math id="M332" 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>
for the past 1000 years (Mäkinen and Saaranen, 1998), and taking into
account the <inline-formula><mml:math id="M333" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 3 m of sediment accumulated during this period, the
basin was <inline-formula><mml:math id="M334" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 7 m deeper around 1000 AD than at present (Fig. 7a). In
addition, the intensive sediment focusing and drift-like deposition of the
brackish-water muds has likely smoothed the bottom topography (Virtasalo et
al., 2007), which has further decreased the bottom water volume towards
present times upon<?pagebreak page3989?> progressive basin infilling. The gradual shoaling of the
basin has decreased the area located below the wave base, which in
combination with the steep shoreline topography has increased the sediment
source-to-sink ratio and led to more effective sediment focusing in the
deepest parts of the basin towards the present (Fig. 7), as implied by the
enhanced sediment MAR during the MoWP (Fig. 6).</p>
      <p id="d1e5781">Superimposed on this general trend towards calmer sedimentary conditions
towards the present, climatic oscillations have exerted a prominent control
on the bottom water hydrographic conditions at the study site. We ascribe the
elevated Ti <inline-formula><mml:math id="M335" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> K and slightly coarser grain size during the MCA and MoWP
in comparison to the LIA to enhanced bottom water currents and lateral
sediment transport (Fig. 4; Spoffort et al., 2008), whereby the lack of ice
cover in the late autumn–early winter promoted wave-induced sediment
focusing upon exposure to storms (Fig. 7). Conversely, the early formation of
ice cover during the LIA likely suppressed wind-induced mixing of the water
column (Lincoln et al., 2016), thereby reducing the bottom water energy flux.
Accordingly, it has been shown that a major proportion of the annual sediment
accumulation in the Haverö occurs in late autumn and early winter due to
the interplay of intensified cyclonic activity and lack of ice cover (Jokinen
et al., 2015).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F7" specific-use="star"><caption><p id="d1e5793"><bold>(a)</bold> Conceptual illustration of the sedimentation dynamics and
changes in basin configuration at the study site from 1000 AD to the
present. The combination of glacio-isostatic uplift and accumulation of
brackish-water muds has resulted in shoaling of the basin and increase in
source-to-sink ratio. <bold>(b)</bold> Description of the effects of climatic warming and
basin shoaling on sediment focusing at the study site.</p></caption>
          <?xmltex \igopts{width=426.791339pt}?><graphic xlink:href="https://bg.copernicus.org/articles/15/3975/2018/bg-15-3975-2018-f07.pdf"/>

        </fig>

</sec>
<sec id="Ch1.S6.SS2">
  <title>Organic matter input</title>
<sec id="Ch1.S6.SS2.SSS1">
  <title>Source of the deposited organic matter</title>
      <p id="d1e5818">The bulk sediment <inline-formula><mml:math id="M336" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">13</mml:mn></mml:msup><mml:mi mathvariant="normal">C</mml:mi></mml:mrow></mml:math></inline-formula><inline-formula><mml:math id="M337" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">org</mml:mi></mml:msub></mml:math></inline-formula> signature (from <inline-formula><mml:math id="M338" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">23.9</mml:mn></mml:mrow></mml:math></inline-formula>
to <inline-formula><mml:math id="M339" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">22.2</mml:mn></mml:mrow></mml:math></inline-formula> ‰) together with the low C <inline-formula><mml:math id="M340" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> N ratios (from 8.6 to
9.9) indicates that most of the OM deposited in the Haverö basin
originates from autochthonous primary productivity rather than from
terrestrial sources (e.g., Meyers, 1994, 1997), agreeing with the findings
from analogous settings in the Swedish archipelago areas (Jönsson et al.,
2005b; Savage et al., 2010; Ning et al., 2018). The marked positive
correlation of BIT index and C <inline-formula><mml:math id="M341" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> N ratio as well as their negative correlation
with <inline-formula><mml:math id="M342" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">13</mml:mn></mml:msup><mml:mi mathvariant="normal">C</mml:mi></mml:mrow></mml:math></inline-formula><inline-formula><mml:math id="M343" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">org</mml:mi></mml:msub></mml:math></inline-formula> (Fig. 5; Table 4) implies that all of
these parameters are primarily sensitive to variations in the source of OM.
Furthermore, the correlation of C <inline-formula><mml:math id="M344" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> N and BIT (Fig. S2) also confirms
that the two-end-member model of C <inline-formula><mml:math id="M345" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> N ratios is sufficient to trace OM
provenance. Hence, it can be concluded that either the C <inline-formula><mml:math id="M346" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> N ratios of
soil and vascular plant-derived OM are rather similar in this system, and/or
that their relative contribution has remained constant over time. The mixing
model suggests that, on average, 23 % (range from 15 to 32 %) of the
sediment C<inline-formula><mml:math id="M347" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">org</mml:mi></mml:msub></mml:math></inline-formula> originates from terrestrial sources, with the highest
contribution being reached when the amount of phytoplankton-derived
C<inline-formula><mml:math id="M348" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">org</mml:mi></mml:msub></mml:math></inline-formula> is at minimum (Fig. 5). Similarly, conversion of the BIT
index values to percentages of terrestrial (soil) OM (%OM<inline-formula><mml:math id="M349" display="inline"><mml:mrow><mml:msub><mml:mi/><mml:mi mathvariant="normal">terr</mml:mi></mml:msub><mml:mo>=</mml:mo><mml:mn mathvariant="normal">100</mml:mn><mml:mo>⋅</mml:mo></mml:mrow></mml:math></inline-formula> BIT) yields an
average estimate of 22 % (range from 18 to 29 %). These figures are
in line with the C <inline-formula><mml:math id="M350" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> N-based estimates of <inline-formula><mml:math id="M351" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 20 % for
%OC<inline-formula><mml:math id="M352" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">terr</mml:mi></mml:msub></mml:math></inline-formula> in the middle parts of the archipelago area south of
the Pojo Bay, in the Gulf of Finland (Jilbert et al., 2018). Collectively,
these observations demonstrate that the changes in OM deposition are mainly
controlled by variations in the autochthonous, phytoplankton-derived input.</p>
      <p id="d1e5977">We note that the excessively old bulk sediment radiocarbon dates for the
NaOH-soluble fraction suggest a marked input of old reworked OM (Fig. 2).
Despite this contribution of pre-aged carbon, likely related to intensive
reworking and lateral sediment advection in the basin (Jokinen et al., 2015),
we assume that the C<inline-formula><mml:math id="M353" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">org</mml:mi></mml:msub></mml:math></inline-formula> content and
<inline-formula><mml:math id="M354" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">13</mml:mn></mml:msup><mml:mi mathvariant="normal">C</mml:mi></mml:mrow></mml:math></inline-formula><inline-formula><mml:math id="M355" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">org</mml:mi></mml:msub></mml:math></inline-formula> signature of the redeposited material have
remained relatively constant, because this material represents a spatial and
temporal mixture of sediments deposited in the area (Struck et al., 2000).
The enclosed configuration of the basin throughout the study interval
suggests that the majority of OM that has ultimately settled at our study
site likely originates from a rather small area, and thus the observed
increases in OM accumulation are likely caused by local enhanced
productivity. Nevertheless, the intensive reworking and lateral sediment
transport is likely to dilute and smooth the signal of the delivery of OM
sourced from the contemporaneous local primary productivity in the euphotic
zone, partly explaining the generally subtle variability in the sediment
C <inline-formula><mml:math id="M356" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> N and <inline-formula><mml:math id="M357" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">13</mml:mn></mml:msup><mml:mi mathvariant="normal">C</mml:mi></mml:mrow></mml:math></inline-formula><inline-formula><mml:math id="M358" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">org</mml:mi></mml:msub></mml:math></inline-formula> profiles.</p>
</sec>
<sec id="Ch1.S6.SS2.SSS2">
  <title>Temporal fluctuations in the organic matter input</title>
      <p id="d1e6044">Although inferences about past productivity based solely on the
phytoplankton-derived C<inline-formula><mml:math id="M359" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">org</mml:mi></mml:msub></mml:math></inline-formula> content of sediments are limited by
potential dilution and preservation issues, variable productivity remains the
most likely explanation for the observations in Fig. 5. Specifically, the
contribution of terrestrial OM remains rather constant throughout the record
(Fig. 5), whereas the phytoplankton-derived component is greater during the
MCA and MoWP than during the LIA, implying variable input of phytoplankton
material over time. This variable input likely controls the bulk sediment
BIT, C <inline-formula><mml:math id="M360" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> N, and <inline-formula><mml:math id="M361" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">13</mml:mn></mml:msup><mml:mi mathvariant="normal">C</mml:mi></mml:mrow></mml:math></inline-formula><inline-formula><mml:math id="M362" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">org</mml:mi></mml:msub></mml:math></inline-formula>, which all show
concordant trends. We note also that productivity and preservation effects
often reinforce one another, since increased delivery of OM to the sediments
is likely to stimulate preservation through decreased bottom water
oxygenation (e.g., Pedersen and Calvert, 1990). Hence, in the following we
interpret the content of phytoplankton-derived OM as a first-order estimate
of changes in productivity over the studied interval. However, an important
distinction is that C<inline-formula><mml:math id="M363" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">org</mml:mi></mml:msub></mml:math></inline-formula> MAR is not only a function of
productivity, but also of changes in sedimentation processes such as focusing. These become especially
important at our study site in the later part of the record.</p>
      <p id="d1e6093">The fluctuations in the input of phytoplankton-derived OM to the basin
generally coincide with the past climatic oscillations (Fig. 5) and with
paleoproductivity records from the Baltic Proper (Leipe et al., 2008; Kabel
et al., 2012; Jilbert and Slomp, 2013). Indeed, the MCA and MoWP are typified
by relatively high input in comparison to the LIA, implying enhanced
productivity under warm climatic phases. However, we note that
<inline-formula><mml:math id="M364" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">13</mml:mn></mml:msup><mml:mi mathvariant="normal">C</mml:mi></mml:mrow></mml:math></inline-formula><inline-formula><mml:math id="M365" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">org</mml:mi></mml:msub></mml:math></inline-formula> and the MAR of C<inline-formula><mml:math id="M366" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">org</mml:mi></mml:msub></mml:math></inline-formula> during the<?pagebreak page3990?> MCA
remained below the MoWP values, indicating that the export production of OM
and consequent sediment focusing never reached the MoWP levels. By contrast,
a distinct decrease in C<inline-formula><mml:math id="M367" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">org</mml:mi></mml:msub></mml:math></inline-formula> and
<inline-formula><mml:math id="M368" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">13</mml:mn></mml:msup><mml:mi mathvariant="normal">C</mml:mi></mml:mrow></mml:math></inline-formula><inline-formula><mml:math id="M369" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">org</mml:mi></mml:msub></mml:math></inline-formula>, paralleled by an increase in C <inline-formula><mml:math id="M370" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> N
and the BIT index, coincides with the MCA–LIA transition (Fig. 5), suggesting
that this marked decline in local primary productivity was most likely forced
by the climatic cooling (Kabel et al., 2012).</p>
      <p id="d1e6164">The temporal trend in OM input observed in our data is similar to the trend
in temperature recorded in millennial-scale regional climate model
simulations (Schimanke et al., 2012), and with dendroclimatic summer
temperature reconstructions for southeastern Finland (Helama et al., 2014)
as well as with a TEX<inline-formula><mml:math id="M371" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">86</mml:mn></mml:msub></mml:math></inline-formula>-derived sea surface temperature reconstruction for
the Baltic Proper (Kabel et al., 2012). All of these studies report a decline
in temperatures at <inline-formula><mml:math id="M372" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 1300–1400 AD with a persistently cold period
lasting until the late 19th century, similarly to the fluctuations in the OM
input at our study site (Fig. 5). Furthermore, the period of lowest
productivity at <inline-formula><mml:math id="M373" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 1700–1900 AD, as indicated by the maximum values in
C <inline-formula><mml:math id="M374" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> N and BIT and concurrent minimum in the
<inline-formula><mml:math id="M375" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">13</mml:mn></mml:msup><mml:mi mathvariant="normal">C</mml:mi></mml:mrow></mml:math></inline-formula><inline-formula><mml:math id="M376" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">org</mml:mi></mml:msub></mml:math></inline-formula> signature, is sympathetic with a minimum
in summer temperatures in southeastern Finland (Fig. 5; Helama et al.,
2014).</p>
      <p id="d1e6218">Importantly, we note that the long-term trends in land use and precipitation
in the catchment show no similarity to our record of phytoplankton-derived OM
input prior to the MoWP, suggesting that external nutrient inputs did not
force past increases in productivity. Indeed, in agreement with the
population growth records for Finland (Kuosmanen et al., 2016, and references
therein), marked human-induced land-use changes in the catchments of varved
lakes in southwestern and south-central Finland became discernible at
<inline-formula><mml:math id="M377" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 1400 AD (Tiljander et al., 2003; Ojala and Alenius, 2005). This
interval coincides with the onset of the LIA, during which both precipitation
(Väliranta et al., 2007; Helama et al., 2009; Luoto, 2009; Saarni et al.,
2015) and soil erosion rate (Tiljander et al., 2003; Ojala and Alenius, 2005;
Saarni et al., 2016) increased in south-central Finland. However, this period
is characterized by a shift to suppressed primary productivity at our study
site, implying no influence of enhanced external nutrient inputs. The lack of
anthropogenic forcing of OM input during the MCA is also in line with a
recent paleoenvironmental reconstruction from the eastern coast of Sweden in
the western part of the Baltic Proper (Ning et al., 2018), where no
substantial signs of intensified land use were detected prior to 1400 AD.
Finally, indirect anthropogenic influence via nutrient transport from the
Baltic Proper, claimed to have received considerable human-induced nutrient
loading already during the MCA (Zillén and Conley, 2010), is unlikely as
the nutrient input in the study area is mainly driven by the local nutrient
sources (Hänninen et al., 2000) due to the restricted water exchange with
the open-sea areas (Mälkki et al., 1979).</p>
      <p id="d1e6229">The progressive increase in the <inline-formula><mml:math id="M378" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">15</mml:mn></mml:msup><mml:mi mathvariant="normal">N</mml:mi></mml:mrow></mml:math></inline-formula> values, beginning already
before the turn of the 20th century, attests to recent increased
anthropogenic nutrient loading from agriculture and urban sources to the
Baltic Sea (Voss and Struck, 1997; Struck et al., 2000; Voss et al., 2000,
2005; Savage et al., 2010). This is supported by the contemporaneous
exponential population increase in Turku, which combined with the
construction of a sewer network for the city likely enhanced sewage loading
to the Archipelago Sea (Fig. 6). Yet, we observe negligible changes in the
source of OM around 1900 AD, as implied by the relatively constant C <inline-formula><mml:math id="M379" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> N
and <inline-formula><mml:math id="M380" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">13</mml:mn></mml:msup><mml:mi mathvariant="normal">C</mml:mi></mml:mrow></mml:math></inline-formula> values (Fig. 6). This suggests that the enhanced
anthropogenic nutrient influx alone was insufficient to explain the strong
increase in the C<inline-formula><mml:math id="M381" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">org</mml:mi></mml:msub></mml:math></inline-formula> MAR at this time. Therefore, we infer that
the OM accumulation was markedly amplified by intensified sediment focusing
from 1900 AD onwards, as supported by the contemporaneous increases in
Ti <inline-formula><mml:math id="M382" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> K and sediment MAR sympathetic with a marked decline in the Baltic
Sea ice extent (Figs. 4 and 6). We propose that the<?pagebreak page3991?> general trend towards
higher source-to-sink ratio in the basin combined with the climate-driven
intensification of wind-induced sediment reworking (Fig. 7) to increase the
C<inline-formula><mml:math id="M383" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">org</mml:mi></mml:msub></mml:math></inline-formula> MAR to the sediments. This enhanced focusing likely promoted
accumulation of variably degraded OM comprising a mixture from labile to more
refractory material.</p>
      <p id="d1e6291">By contrast to the increase in OM accumulation in the early 20th century, the
shift to unprecedentedly heavy <inline-formula><mml:math id="M384" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">13</mml:mn></mml:msup><mml:mi mathvariant="normal">C</mml:mi></mml:mrow></mml:math></inline-formula> signature, sympathetic
with a decrease in C <inline-formula><mml:math id="M385" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> N and the BIT index around 1950 AD (Fig. 6), points
to markedly enhanced export production of phytoplankton-derived OM at this
time (Meyers, 1994, 1997; Hopmans et al., 2004). This later shift was likely
fueled by the concomitant substantial increase in nutrient loading from urban
and agricultural sources in the catchment (Fig. 6), being in line with
eutrophication trajectories elsewhere in the Baltic Sea linked to amplified
anthropogenic nutrient inputs (Struck et al., 2000; Conley et al., 2009a;
Savage et al., 2010; Gustafsson et al., 2012; Carstensen et al., 2014a).
Finally, we infer that while C<inline-formula><mml:math id="M386" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">org</mml:mi></mml:msub></mml:math></inline-formula> MAR during the MoWP has clearly
exceeded the MCA levels (Fig. 5), the intensive sediment focusing and
ballasting effects (Sect. 6.3.2) are likely to have diluted C<inline-formula><mml:math id="M387" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">org</mml:mi></mml:msub></mml:math></inline-formula>
content over the 20th century.</p>
</sec>
</sec>
<sec id="Ch1.S6.SS3">
  <title>Changes in hypoxia intensity and its causes</title>
<sec id="Ch1.S6.SS3.SSS1">
  <title>Bottom water oxygenation prior to the Modern Warm Period</title>
      <p id="d1e6344">The intensive <italic>Planolites</italic> mottling that completely overprints the
primary sedimentary fabric (bioturbation index 4) in the pre-MCA sediments
clearly demonstrates efficient ventilation of the bottom waters, which
enabled macrobenthic fauna to inhabit the seafloor (Figs. 3a and 4). The
scarcity of discrete traces in this sediment interval could be attributed to
less intense pyritization along the burrow walls than in the overlying
sediments (Thomsen and Vorren, 1984) and to the overlapping of densely spaced
burrows (Virtasalo et al., 2011a, b). Macrofauna living in the area and
capable of completely mixing the seafloor sediment include the isopod
<italic>Saduria entomon</italic>, the polychaete <italic>Harmothoe sarsi</italic>, the
amphipods <italic>Monoporeia affinis</italic> and <italic>Pontoporeia femorata</italic>, and
the mysid shrimp <italic>Mysis relicta</italic>. The discrete <italic>Planolites</italic> are
produced by vermiform burrowers such as the priapulid <italic>Halicryptus spinulosus</italic>.</p>
      <p id="d1e6372">The enhanced preservation of the thinly bedded sedimentary fabric during the
MCA at <inline-formula><mml:math id="M388" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 900–1200 AD, as demonstrated by the decrease in the
bioturbation index (Figs. 3b and 4), is indicative of declining near-bottom
oxygen levels during this period. The poorly developed grading of these beds
is ascribed to the predominantly lateral sediment transport in the basin
(Jokinen et al., 2015) and possibly results from the slow migration of thin
accretionary bedforms. The dominance of <italic>Planolites</italic> with a small
diameter and vertical extent in the trace fossil assemblage together with the
subtle decrease in the bioturbation index (Fig. 4) demonstrate low burrowing
activity under a considerable oxygen stress (Savrda and Bottjer, 1986, 1991),
especially during the first half of the MCA.</p>
      <p id="d1e6385">Despite the decline in the bottom water oxygen concentration during the MCA,
we infer that the pore water chemistry was typified by a relatively deep and
poorly developed SMTZ with low <inline-formula><mml:math id="M389" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">H</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mi mathvariant="normal">S</mml:mi></mml:mrow></mml:math></inline-formula> concentration, which hampered
efficient Mo sequestration (Helz and Adelson, 2013) and Ph production by
methanogenic microbes (Sect. 6.3.2). This could explain why the Mo and
Pr <inline-formula><mml:math id="M390" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> Ph profiles fail to record the modest deoxygenation during the MCA
indicated by the trace fossil data. Since <inline-formula><mml:math id="M391" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 1200 AD, the increases in
the bioturbation index and in the abundance of <italic>Arenicolites</italic> trace
fossils, characterized by generally larger size and greater vertical extent
than <italic>Planolites</italic>, denote enhanced bottom water oxygenation and
a downward shift of the SMTZ, continuing throughout the LIA (Figs. 3c and 4).
Indeed, the greater burrow depth and size suggests a downward shift in the
annual mean depth of the redoxcline during this period (Savrda and Bottjer,
1986, 1991).</p>
      <p id="d1e6421">We attribute the multicentennial-scale fluctuations in bottom water
oxygenation associated with the MCA and LIA to climatic variability that
modulated both hydrographic conditions and accumulation of OM at the
seafloor. This is supported by the Ti <inline-formula><mml:math id="M392" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> K and grain size profiles and the
organic matter proxies (Sect. 6.1 and 6.2) that indicate amplified lateral
sediment transport (focusing) and primary productivity during the MCA in
comparison to the LIA (Figs. 4 and 5). In addition, we note a slight decrease
in LSR at <inline-formula><mml:math id="M393" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 1380 AD (Fig. 2), coinciding with the MCA–LIA transition.
The temporal pattern is similar to the development of hypoxia in the Baltic
Proper (Jilbert and Slomp, 2013; Funkey et al., 2014; Jilbert et al., 2015;
Dijsktra et al., 2016; Hardisty et al., 2016; Papadomanolaki et al., 2018)
and in the Danish straits (van Helmond et al., 2017), where warm climatic
phases during the Holocene have been characterized by declining oxygen
levels. Yet, we note that the amplitude of these changes appears markedly
less pronounced at our study site, which is most likely attributed to the
lack of permanent halocline in this shallow coastal region. Collectively, the
similar trends in the intensity of hypoxia in different parts of the Baltic
Sea basin attest to regional forcing that was most likely related to changes
in the atmospheric circulation patterns such as the NAO, as suggested by
Jilbert and Slomp (2013).</p>
</sec>
<sec id="Ch1.S6.SS3.SSS2">
  <title>Progressive intensification of hypoxia during the Modern Warm
Period</title>
      <p id="d1e6444">The MAR of Mo in the sediments at our study site increased during the MoWP
(Fig. 6). Due to the fact that the study site is seasonally hypoxic, rather
than permanently anoxic or euxinic, the most likely mechanism for Mo
enrichment is via diffusion of seawater Mo into the sediment towards the SMTZ
(see Helz and Adelson, 2013), which may be<?pagebreak page3992?> amplified by the shuttling of Mo
associated with Mn oxides (Algeo and Lyons, 2006; Scheiderich et al., 2010;
Scott and Lyons, 2012; Sulu-Gambari et al., 2017). It is thus plausible that
the scavenging of Mo mostly takes place close to the sediment surface at the
end of summer stratification period when the SMTZ reaches its shallowest
position in the sediment column (Mogollón et al., 2011) and shuttling and
refluxing of Mn is expected to be at its annual maximum. Indeed, total
sulfide concentrations of &gt; 600 <inline-formula><mml:math id="M394" display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>M have been reported
to prevail in the uppermost centimeters of the sediment column within the
SMTZ at the study site (Karoliina Koho, University of Helsinki, personal communication, 2018). Assuming a salinity
and temperature of 5.6 and 9 <inline-formula><mml:math id="M395" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C, respectively (Virtasalo et al.,
2005), and a pH of 6.6 (our unpublished data) at the sediment–water
interface, this total sulfide concentration corresponds to
a <inline-formula><mml:math id="M396" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">H</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mi mathvariant="normal">S</mml:mi></mml:mrow></mml:math></inline-formula><inline-formula><mml:math id="M397" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">aq</mml:mi></mml:msub></mml:math></inline-formula> concentration of &gt; 400 <inline-formula><mml:math id="M398" display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>M
(calculated with R package AquaEnv, Hoffmann et al., 2010), clearly exceeding
the requirement of 11 <inline-formula><mml:math id="M399" display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>M <inline-formula><mml:math id="M400" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">H</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mi mathvariant="normal">S</mml:mi></mml:mrow></mml:math></inline-formula><inline-formula><mml:math id="M401" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">aq</mml:mi></mml:msub></mml:math></inline-formula> for the
activation of the sulfide switch (Helz et al., 1996; Erickson and Helz,
2000). The annual accumulation rate of Mo is expected to be controlled by the
duration of the late summer period when the SMTZ is located closest to the
sediment surface (Adelson et al., 2001; Helz and Adelson, 2013), which, in
turn, is modulated by the balance between the delivery of labile OM and
electron acceptors at the seafloor (Middelburg and Levin, 2009). By
extension, when this period is longer in duration we expect seasonal hypoxia
in the bottom water to be more intense and thus that the Mo accumulation
rate provides a first-order proxy for bottom water hypoxia during the MoWP.
We note that the amount of anthropogenically sourced Mo in our sediment
record is likely negligible in comparison to the enrichment caused by
authigenic processes. Indeed, it has been shown that modern sediment
sequestration of Mo in the area shows no spatial trends but is largely
controlled by bottom water oxygenation (Peltola et al., 2011). Furthermore,
the similarity between raw Mo content and Mo <inline-formula><mml:math id="M402" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> Al profiles (Fig. S3)
implies that the sediment Mo content at the study site is determined by
authigenic Mo sequestration.</p>
      <p id="d1e6527">During the MoWP, the Haverö basin has undergone a progressive aggravation
of bottom water hypoxia, typified by two distinct regime shifts. First, a
marked shoaling of the sediment redoxcline at 1900 AD is manifested in the
contemporaneous occurrence of continuous lamination (near-complete cessation
of macrobenthic activity), a decrease in Pr <inline-formula><mml:math id="M403" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> Ph, and an increase in the
MAR of Mo (Fig. 6). Although the onset of the increased Mo MAR is hard to
constrain due to the scarcity of age constraints prior to the preservation of
continuous laminations, the appearance of subtle enrichments in Mo content
evidences intermittent shoaling of the SMTZ and consequently intensified
sequestration of Mo in the sediments since 1900 AD (Adelson et al., 2001;
Helz and Adelson, 2013). Likewise, the preservation of laminated
sedimentary fabric suggests upward migration of the redoxcline towards the
sediment–water interface, inhibiting burrowing by macroinfauna, whereas the
occasional blurring of laminations (Fig. 3d) is ascribed to subtle mixing by
meiofauna or transient colonization by opportunistic nectobenthos (Virtasalo
et al., 2011b; Jokinen et al., 2015). Although annual recovery of macrofauna
is common to systems prone to recurring seasonal hypoxia (Diaz and Rosenberg,
1995; Levin et al., 2009), such rapid recolonization was effectively
inhibited in the Haverö basin since 1900 AD, possibly owing to increased
porewater <inline-formula><mml:math id="M404" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">H</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mi mathvariant="normal">S</mml:mi></mml:mrow></mml:math></inline-formula> concentration (Diaz and Rosenberg, 1995). A critical
threshold for defaunation in areas experiencing seasonal hypoxia is often
around 0.7 mg L<inline-formula><mml:math id="M405" 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> (Llansó, 1992; Diaz and Rosenberg, 1995),
pointing to severe near-bottom water oxygen depletion at the study site
already at 1900 AD.</p>
      <p id="d1e6562">Considering the negligible variation in the proxies for the source of OM
prior to 1930 AD (Fig. 6), the onset of seasonal hypoxia and the resulting
preservation of continuous lamination since the beginning of 20th century was
apparently not solely forced by potential changes in primary productivity
linked to human-induced eutrophication. Instead, we postulate that this
deoxygenation was forced by the following complex interplay of factors:
(1) increased source-to-sink ratio, combined with intensified lateral
sediment transport especially during early winter due to the warming climate,
leading to enhanced sediment focusing and higher MAR of C<inline-formula><mml:math id="M406" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">org</mml:mi></mml:msub></mml:math></inline-formula>
(Fig. 7; Sect. 6.2.2) – together with the prior accumulation of organic-rich
brackish-water muds in the basin at least since <inline-formula><mml:math id="M407" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 500 AD, this likely
led to progressive depletion of electron acceptors (“oxygen debt”) at the
seafloor (Pamatmat, 1971); (2) decreased bottom water volume due to the
gradual shoaling of the basin, resulting in increased vulnerability to
hypoxia (Caballero-Alfonso et al., 2015); (3) strengthened summer thermocline
caused by global warming and gradual isolation of the
basin hampered the replenishment of the
bottom water oxygen reservoir (Hordoir et al., 2017); (4) increased
anthropogenic nutrient loading from the catchment potentially stimulated
primary productivity and the delivery of OM to the seafloor (Sect. 6.2.2).
Accordingly, the onset of recurring seasonal hypoxia at around 1900 AD can
be at least partly attributed to the naturally increased vulnerability to
deoxygenation, which alongside global warming and direct anthropogenic
forcing irreversibly tipped the ecosystem over a threshold, inducing a regime
shift commonly associated with coastal oxygen deficiency (e.g., Conley et
al., 2009b).</p>
      <p id="d1e6581">Another marked redox shift is observed at 1950 AD, where a rapid increase in
Mo MAR accompanied by a prominent decrease in Pr <inline-formula><mml:math id="M408" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> Ph suggest
unprecedentedly reducing conditions at the sediment–water interface
(Fig. 6). This shift likely denotes shoaling of the redox zonation as a
response to eutrophication in the area, which has been reported in previous
studies of the Baltic Sea (Slomp et al., 2013; Egger et al., 2015; Rooze et
al., 2016; Jilbert et al., 2018) and reflects intensified delivery of labile
OM to the seafloor with respect to the supply of electron acceptors
(Middelburg and Levin, 2009). Considering the decreasing trend in the<?pagebreak page3993?> local
summer temperatures over this interval, promoting less intense sediment
focusing, weaker thermal stratification, and suppressed productivity, we
infer that the upward migration of the SMTZ was more likely driven by the
increased anthropogenic nutrient loading from the catchment than by climatic
factors (Fig. 6). Similar exacerbation of bottom water hypoxia around the 1950s
has been reported in the coastal areas of Sweden (Persson and Jonsson, 2000;
Savage et al., 2010) and in the Baltic Proper (Fig. 6; Jonsson et al., 1990;
Carstensen et al., 2014a), reflecting synchronous increases in the
anthropogenic nutrient loading around the Baltic Sea (Conley et al., 2009a;
Savage et al., 2010; Gustafsson et al., 2012; Carstensen et al., 2014a). This
deoxygenation around the 1950s conforms to the global spread of hypoxia in
coastal areas (Vaquer-Sunyer and Duarte, 2008) following the “Great
Acceleration” (Steffen et al., 2015). Accordingly, the steepest gradient in
the <inline-formula><mml:math id="M409" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">15</mml:mn></mml:msup><mml:mi mathvariant="normal">N</mml:mi></mml:mrow></mml:math></inline-formula> profile at our study site is reached between 1950 and
1995 AD, paralleled by intensified agricultural practices and fast
population growth rate (Fig. 6).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F8"><caption><p id="d1e6607">Contour plots for water column dissolved oxygen concentration in
August over the past decades at four intensive monitoring stations (data
from HERTTA database) located around the study site (HAV-KU-6). The
interpolations were produced with the Ocean Data View software (Schlitzer,
2017). White dots represent the original measurement data.</p></caption>
            <?xmltex \igopts{width=241.848425pt}?><graphic xlink:href="https://bg.copernicus.org/articles/15/3975/2018/bg-15-3975-2018-f08.jpg"/>

          </fig>

      <p id="d1e6616">Although the decline in Mo content and concomitant increase in Pr <inline-formula><mml:math id="M410" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> Ph
suggest a slight improvement in the bottom water oxygenation since 1990 AD
(Fig. 6), this is an unlikely scenario. Instead, the MAR of Mo has remained
high since 1950 AD and reached the highest values of the record as late as
2005 AD, suggesting that aggravation of bottom water hypoxia has continued
up to the present, as evidenced by the local monitoring data directly at the
study site (Fig. S4). In line with this, monitoring data in other parts of
the Archipelago Sea consistently demonstrate progressive deoxygenation in the
area during last two decades (Fig. 8; Suomela, 2011; Caballero-Alfonso et
al., 2015). Therefore, we ascribe the decrease in Mo content at 1990 AD to
dilution by the concurrently enhanced sediment MAR (Fig. 6). We postulate
that, in addition to effective sediment focusing, the increased sediment MAR
was likely fueled by ballasting effects, whereby eutrophication-induced
increase in the OM production in the euphotic zone drives the sedimentation
of fine-grained lithogenic material through aggregation (Passow, 2004; Passow
and De La Rocha, 2006; De La Rocha et al., 2008), as suggested by the close
covariation between sediment and C<inline-formula><mml:math id="M411" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">org</mml:mi></mml:msub></mml:math></inline-formula> MARs (Fig. 6). In line with
this, it has been shown that rapid sedimentation events during vernal
phytoplankton blooms in the study area are caused by the formation of
organomineralic aggregates adhered together by sticky transparent exopolymers
(TEP) excreted by phytoplankton (Jokinen et al., 2015), coupling the
sedimentation of lithogenic material to autochthonous primary production.
Therefore, while C<inline-formula><mml:math id="M412" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">org</mml:mi></mml:msub></mml:math></inline-formula> content remained fairly constant over the
shift to enhanced sediment MAR at 1985 AD due to intensified sediment
focusing and ballasting effects, the content of Mo was diluted as the depth
and intensity of the <inline-formula><mml:math id="M413" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">H</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mi mathvariant="normal">S</mml:mi></mml:mrow></mml:math></inline-formula> front remained relatively unaffected.</p>
      <p id="d1e6657">The recovery in Pr <inline-formula><mml:math id="M414" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> Ph at the core top (Fig. 6), which is observed
despite the obvious aggravation of hypoxia until the present, suggests that
the distinct minimum in Pr <inline-formula><mml:math id="M415" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> Ph between 1950 (53.5 cm) and 1990 AD
(29 cm) is caused by a post-depositional overprint. Although the mechanism
causing a diagenetic decline in Pr <inline-formula><mml:math id="M416" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> Ph in this depth interval at the
present day remains speculative, a likely candidate is the excess Ph
production by methanogenic microbes (Brassel et al., 1981; Venkatesan and
Kaplan, 1987; Duan, 2000). Indeed, the current position of the SMTZ at our
study site is likely located in the uppermost 10–20 cm below the sediment
surface (see Sawicka and Brüchert, 2017 and Jilbert et al., 2018, for
comparable systems), below which methane concentrations are expected to
increase to the millimolar range. As such, Pr <inline-formula><mml:math id="M417" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> Ph may not be a direct
proxy for bottom water oxygenation at our study site. Instead, it likely
records the rate of methanogenesis below the SMTZ, reflecting the amount of
labile OM that escapes aerobic degradation. Importantly, the invariably high
Pr <inline-formula><mml:math id="M418" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> Ph prior to the 20th century (Fig. 4) could<?pagebreak page3994?> denote that intensive
methane formation, due to increased productivity and subsequent shoaling of
the redox zonation over the past few decades (Slomp et al., 2013; Egger et
al., 2015; Rooze et al., 2016; Jilbert et al., 2018), is unprecedented in our
sediment record. However, the low Mo content of &lt; 10 mg kg<inline-formula><mml:math id="M419" 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>
(Fig. 6) suggests that the basin has remained non-euxinic until the present
(Scott and Lyons, 2012). This is also evidenced by the slope of <inline-formula><mml:math id="M420" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 2.7
for the linear regression between Mo and C<inline-formula><mml:math id="M421" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">org</mml:mi></mml:msub></mml:math></inline-formula> (Fig. S1), being
slightly shallower than reported for continental margin upwelling systems
characterized by persistently hypoxic, but non-euxinic bottom water
conditions (Algeo and Rowe, 2012, and references therein). Furthermore, the
MAR of Mo has remained in less than half of the MAR reported for the
seasonally mildly euxinic Chesapeake Bay (Helz and Adelson, 2013).</p>
</sec>
</sec>
</sec>
<sec id="Ch1.S7">
  <title>Implications</title>
      <p id="d1e6732">Previous studies have suggested that the eutrophication of the Archipelago
Sea began in the late 1960s (Bonsdorff et al., 1997a, b; Hänninen et al.,
2000; Suomela, 2011). Our data show that environmental conditions around the
study site in the Archipelago Sea likely deteriorated several decades prior
to this and therefore also prior to the establishment of water quality monitoring
campaigns in the 1960s. This highlights the use of sediment-core studies for
the long-term reconstruction of environmental conditions in such settings.
Our <inline-formula><mml:math id="M422" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">15</mml:mn></mml:msup><mml:mi mathvariant="normal">N</mml:mi></mml:mrow></mml:math></inline-formula> record demonstrates increased anthropogenic nutrient
input already at the beginning of the 20th century (Fig. 6), although the
onset of hypoxia and laminated sediment deposition at this time was
additionally driven by physical factors (Sect. 6.3.2). However, the prominent
aggravation of hypoxia in the 1950s was unequivocally
anthropogenically induced. The timing of this shift predates the major
establishment period of fish farms in the Archipelago Sea in 1970s
(Hänninen et al., 2000), suggesting that, although aquaculture has
aggravated hypoxia since the 1970s (Bonsdorff et al., 1997a), other human
activities had significantly degraded the coastal water quality up to
20 years previously.</p>
      <p id="d1e6748">Despite the decreased loading of sewage waters since the 1980s, following the
establishment of a wastewater treatment plant for the city of Turku (Suomela,
2011; Fig. 6), the continued leakage of nutrients from agriculture to the
Archipelago Sea (Ekholm et al., 2015) together with intensive P regeneration
from surface sediments mainly upon the dissolution of Fe-bound P (Puttonen et
al., 2014) has sustained the trend toward increasing eutrophication and
shoaling of hypoxia until the present (Figs. 6 and 7). In addition, the
recent trajectory towards further aggravation of hypoxia has likely been
amplified by the progressively increasing summer temperatures (Fig. 6), which
is also supported by the increased importance of climatic effects in the
forcing of oxygen depletion in the Swedish coast of the Baltic Sea since the
late 1970s (Savage et al., 2010). Hence, while reductions in nutrient loading
appear to have improved bottom water oxygenation in the Stockholm Archipelago
since the 1990s (Karlsson et al., 2010), we observe no signs of recovery in
the Archipelago Sea so far.</p>
</sec>
<sec id="Ch1.S8" sec-type="conclusions">
  <title>Conclusions</title>
      <p id="d1e6757">This study shows that multicentennial-scale climatic oscillations affect
near-bottom water oxygenation of a shallow coastal basin in the northern
Baltic Sea currently suffering from severe seasonal hypoxia. During warm
phases, increased export production of labile, phytoplankton-derived OM
combined with effective sediment focusing to the deepest part of the basin
drives deoxygenation of the near-bottom waters in summer. Accordingly,
decreased oxygen levels are observed during the MCA and MoWP, but the
intensity of the MoWP hypoxia, typified by complete deterioration of the
macrobenthic community, is unprecedentedly severe. The progressive
deoxygenation during the 1900s was originally triggered by gradual shoaling
of the basin due to glacio-isostatic uplift and basin infilling that,
together with warming climate and anthropogenic nutrient input, promoted the
vulnerability of the basin to hypoxia and intensified OM accumulation. By
contrast, the marked aggravation of hypoxia in the 1950s was unequivocally
attributed to the excessive anthropogenic nutrient loading from the
catchment, which substantially stimulated autochthonous primary production.
Our results demonstrate that the markedly more severe hypoxia during the
MoWP in comparison to the MCA is not only attributed to the excess
anthropogenic nutrient loading, but also to the gradual changes in the basin
configuration that have increased the sensitivity to deoxygenation towards
the present. Such natural changes should be considered when elucidating
anthropogenic contribution to hypoxia. Furthermore, signs of eutrophication
in the area are readily discernible in our sediment record already in the
beginning of 1900s, implying that the water quality diverged from natural
conditions decades prior to the establishment of monitoring campaigns. This
has important implications for the assessment of reference conditions for
water quality in the area. Despite the recent measures taken to reduce
anthropogenic nutrient loading to the area, we find no evidence of recovery
from hypoxia, suggesting that further measures are needed to alleviate
oxygen depletion.</p>
</sec>

      
      </body>
    <back><notes notes-type="dataavailability">

      <p id="d1e6764">The data we have produced ourselves can now be found in
Pangaea: <uri>https://doi.pangaea.de/10.1594/PANGAEA.891284</uri>. In cases where
data from a third party were used, this has been clearly indicated in the
figure captions.</p>
  </notes><app-group>
        <supplementary-material position="anchor"><p id="d1e6770">The supplement related to this article is available online at: <inline-supplementary-material xlink:href="https://doi.org/10.5194/bg-15-3975-2018-supplement" xlink:title="pdf">https://doi.org/10.5194/bg-15-3975-2018-supplement</inline-supplementary-material>.</p></supplementary-material>
        </app-group><notes notes-type="authorcontribution">

      <p id="d1e6779">SJ devised the study, conducted field and laboratory work, interpreted the
data, produced the figures, and drafted the paper. JV devised the study,
interpreted the data, and assisted with trace fossil analysis and writing
the paper. TJ assisted with laboratory work, interpreted the data, and
assisted with writing the paper. JK assisted with the biomarker analyses,
interpreted the data, and assisted with writing the paper. OD carried out
the ICP-OES and ICP-MS analyses at IOW, interpreted the data, and assisted
with writing the paper. HA interpreted the data and assisted with writing
paper. JH conducted fieldwork, interpreted the data, and assisted with
writing the paper. LA carried out the IRMS analysis and assisted with
writing the paper. MC assisted with the ICP-OES analysis in Helsinki. TS
conducted field and laboratory work and assisted with writing the paper.</p>
  </notes><notes notes-type="competinginterests">

      <p id="d1e6786">The authors declare that they have no conflict of interest.</p>
  </notes><ack><title>Acknowledgements</title><p id="d1e6792">We acknowledge the crew on R/V <italic>Aurelia</italic> for their valuable help in
sediment coring. Nadine Hollman, Anne Köhler, Arto Peltola, Jouko Saren,
and Hannu Wenho are thanked for their assistance with the laboratory work.
Ilppo Vuorinen is thanked for stimulating discussions on the eutrophication
of the Archipelago Sea. This research was funded by the Finnish Cultural
Foundation project 00150315, Maa- ja Vesitekniikan Tuki project 32719, and by
the BaltRap project SAW-2017-IOW-2, which was funded by the Leibniz
Association. SJ received funding from the Doctoral Programme in Biology,
Geography and Geology (BGG) at the University of Turku. This study has
utilized research infrastructure facilities provided by FINMARI (Finnish
Marine Research Infrastructure network).<?xmltex \hack{\newline}?><?xmltex \hack{\newline}?>
Edited by: S. W. A. Naqvi<?xmltex \hack{\newline}?>
Reviewed by: two anonymous referees</p></ack><ref-list>
    <title>References</title>

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    <!--<article-title-html>A 1500-year multiproxy record of coastal hypoxia from the northern Baltic Sea indicates unprecedented deoxygenation over the 20th century</article-title-html>
<abstract-html><p>The anthropogenically forced expansion of coastal hypoxia is a
major environmental problem affecting coastal ecosystems and biogeochemical
cycles throughout the world. The Baltic Sea is a semi-enclosed shelf sea
whose central deep basins have been highly prone to deoxygenation during its
Holocene history, as shown previously by numerous paleoenvironmental studies.
However, long-term data on past fluctuations in the intensity of hypoxia in
the coastal zone of the Baltic Sea are largely lacking, despite the
significant role of these areas in retaining nutrients derived from the
catchment. Here we present a 1500-year multiproxy record of near-bottom water
redox changes from the coastal zone of the northern Baltic Sea, encompassing
the climatic phases of the Medieval Climate Anomaly (MCA), the Little Ice Age
(LIA), and the Modern Warm Period (MoWP). Our reconstruction shows that
although multicentennial climate variability has modulated the depositional
conditions and delivery of organic matter (OM) to the basin the modern
aggravation of coastal hypoxia is unprecedented and, in addition to gradual changes
in the basin configuration, it must have been forced by excess human-induced
nutrient loading. Alongside the anthropogenic nutrient input, the progressive
deoxygenation since the beginning of the 1900s was fueled by the combined
effects of gradual shoaling of the basin and warming climate, which amplified
sediment focusing and increased the vulnerability to hypoxia. Importantly,
the eutrophication of coastal waters in our study area began decades earlier
than previously thought, leading to a marked aggravation of hypoxia in the
1950s. We find no evidence of similar anthropogenic forcing during the MCA.
These results have implications for the assessment of reference conditions
for coastal water quality. Furthermore, this study highlights the need for
combined use of sedimentological, ichnological, and geochemical proxies in
order to robustly reconstruct subtle redox shifts especially in dynamic,
non-euxinic coastal settings with strong seasonal contrasts in the bottom
water quality.</p></abstract-html>
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