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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-18-1081-2021</article-id><title-group><article-title>The transformation of the forest steppe in the lower Danube <?xmltex \hack{\break}?>Plain of
southeastern Europe: 6000 years of vegetation and <?xmltex \hack{\break}?>land use dynamics</article-title><alt-title>Deforestation of the lower Danube Plain</alt-title>
      </title-group><?xmltex \runningtitle{Deforestation of the lower Danube Plain}?><?xmltex \runningauthor{A.~Feurdean et al.}?>
      <contrib-group>
        <contrib contrib-type="author" equal-contrib="yes" corresp="yes" rid="aff1 aff2 aff3">
          <name><surname>Feurdean</surname><given-names>Angelica</given-names></name>
          <email>angelica.feurdean@gmail.com</email><email>feurdean@em.uni-frankfurt.de</email>
        <ext-link>https://orcid.org/0000-0002-2497-3005</ext-link></contrib>
        <contrib contrib-type="author" equal-contrib="yes" corresp="no" rid="aff3">
          <name><surname>Grindean</surname><given-names>Roxana</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff3 aff4 aff5">
          <name><surname>Florescu</surname><given-names>Gabriela</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-7605-9557</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff3">
          <name><surname>Tanţău</surname><given-names>Ioan</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-7197-916X</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2">
          <name><surname>Niedermeyer</surname><given-names>Eva M.</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff3">
          <name><surname>Diaconu</surname><given-names>Andrei-Cosmin</given-names></name>
          
        <ext-link>https://orcid.org/0000-0003-0958-4818</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff6">
          <name><surname>Hutchinson</surname><given-names>Simon M.</given-names></name>
          
        <ext-link>https://orcid.org/0000-0003-0072-1062</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff7">
          <name><surname>Nielsen</surname><given-names>Anne Brigitte</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff8">
          <name><surname>Sava</surname><given-names>Tiberiu</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff3">
          <name><surname>Panait</surname><given-names>Andrei</given-names></name>
          
        <ext-link>https://orcid.org/0000-0001-7278-8448</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff9">
          <name><surname>Braun</surname><given-names>Mihaly</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1 aff2">
          <name><surname>Hickler</surname><given-names>Thomas</given-names></name>
          
        </contrib>
        <aff id="aff1"><label>1</label><institution>Department of Physical Geography, Goethe University,
Altenhöferallee 1, 60438 Frankfurt am Main, Germany</institution>
        </aff>
        <aff id="aff2"><label>2</label><institution>Senckenberg Biodiversity and Climate Research Centre (BiK-F),
Senckenberganlage 25, <?xmltex \hack{\break}?> 60325 Frankfurt am Main, Germany</institution>
        </aff>
        <aff id="aff3"><label>3</label><institution>Department of Geology, Babeş-Bolyai University, Kogălniceanu
1, 400084, Cluj-Napoca, Romania</institution>
        </aff>
        <aff id="aff4"><label>4</label><institution>Department of Geography, Stefan cel Mare University, Universităţii Street 13, 720229, Suceava, Romania</institution>
        </aff>
        <aff id="aff5"><label>5</label><institution>Department of Botany, Faculty of Science, Charles University, 12801 Prague, Czech Republic</institution>
        </aff>
        <aff id="aff6"><label>6</label><institution>School of Science, Engineering and Environment, University of Salford,
Salford, M5 4WT, UK</institution>
        </aff>
        <aff id="aff7"><label>7</label><institution>Department of Geology, Lund University, Sölvegatan 12, 22362 Lund,
Sweden</institution>
        </aff>
        <aff id="aff8"><label>8</label><institution>Horia Hulubei National Institute for Physics and Nuclear Engineering
(IFIN-HH), Reactorului 30, <?xmltex \hack{\break}?>077125, Măgurele, Romania</institution>
        </aff>
        <aff id="aff9"><label>9</label><institution>Institute for Nuclear Research, Hungarian Academy of Sciences, Bem tér 18/C, 4026 Debrecen, Hungary</institution>
        </aff><author-comment content-type="econtrib"><p>These authors contributed equally to this work.</p></author-comment>
      </contrib-group>
      <author-notes><corresp id="corr1">Angelica Feurdean (angelica.feurdean@gmail.com, feurdean@em.uni-frankfurt.de)</corresp></author-notes><pub-date><day>15</day><month>February</month><year>2021</year></pub-date>
      
      <volume>18</volume>
      <issue>3</issue>
      <fpage>1081</fpage><lpage>1103</lpage>
      <history>
        <date date-type="received"><day>22</day><month>June</month><year>2020</year></date>
           <date date-type="rev-request"><day>10</day><month>August</month><year>2020</year></date>
           <date date-type="rev-recd"><day>2</day><month>November</month><year>2020</year></date>
           <date date-type="accepted"><day>24</day><month>November</month><year>2020</year></date>
      </history>
      <permissions>
        <copyright-statement>Copyright: © 2021 Angelica Feurdean et al.</copyright-statement>
        <copyright-year>2021</copyright-year>
      <license license-type="open-access"><license-p>This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link></license-p></license></permissions><self-uri xlink:href="https://bg.copernicus.org/articles/18/1081/2021/bg-18-1081-2021.html">This article is available from https://bg.copernicus.org/articles/18/1081/2021/bg-18-1081-2021.html</self-uri><self-uri xlink:href="https://bg.copernicus.org/articles/18/1081/2021/bg-18-1081-2021.pdf">The full text article is available as a PDF file from https://bg.copernicus.org/articles/18/1081/2021/bg-18-1081-2021.pdf</self-uri>
      <abstract><title>Abstract</title>
    <p id="d1e247">Forest steppes are dynamic ecosystems, highly susceptible to changes in
climate, disturbances and land use. Here we examine the Holocene history of
the European forest steppe ecotone in the lower Danube Plain to better
understand its sensitivity to climate fluctuations, fire and human impact,
and the timing of its transition into a cultural forest steppe. We used
multi-proxy analyses (pollen, <inline-formula><mml:math id="M1" display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>-alkanes, coprophilous fungi, charcoal and
geochemistry) of a 6000-year sequence from Lake Oltina (southeastern Romania) combined
with a REVEALS (Regional Estimates of Vegetation Abundance from Large Sites) model of quantitative vegetation cover. We found a greater tree cover, composed of xerothermic (<italic>Carpinus orientalis</italic> and <italic>Quercus</italic>) and temperate (<italic>Carpinus betulus</italic>, <italic>Tilia, Ulmus</italic> and <italic> Fraxinus</italic>)  tree taxa,
between 6000 and 2500 cal yr BP. Maximum tree cover (<inline-formula><mml:math id="M2" display="inline"><mml:mo lspace="0mm">∼</mml:mo></mml:math></inline-formula> 50 %), dominated by <italic>C. orientalis</italic> occurred between 4200 and 2500 cal yr BP at a time of
wetter climatic conditions and moderate fire activity. Compared to other
European forest steppe areas, the dominance of <italic>C. orientalis</italic> represents the most distinct
feature of the woodland's composition at this time. Tree loss was underway
by 2500 yr BP (Iron Age), with the REVEALS model indicating a fall to
<inline-formula><mml:math id="M3" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 20 % tree cover from the Late Holocene forest maximum,
linked to clearance for agriculture, while climate conditions remained wet.
Biomass burning increased markedly at 2500 cal yr BP, suggesting that fire
was regularly used as a management tool until 1000 cal yr BP when woody
vegetation became scarce. A sparse tree cover, with only weak signs of
forest recovery, then became a permanent characteristic of the lower Danube
Plain, highlighting more or less continuous anthropogenic pressure. The
timing of anthropogenic ecosystem transformation here (2500 cal yr BP) falls between that in central-eastern (between 3700 and 3000 cal yr BP) and
eastern (after 2000 cal yr BP) Europe. Our study is the first quantitative
land cover estimate at the forest steppe ecotone in southeastern Europe
spanning 6000 years. It provides critical<?pagebreak page1082?> empirical evidence that, at a
broad spatial scale, the present-day forest steppe and woodlands reflect the
potential natural vegetation in this region under current climate
conditions. However, the extent of tree cover and its composition have
been neither stable in time nor shaped solely by the climate. Consequently,
vegetation change must be seen as dynamic and reflecting wider changes in
environmental conditions including natural disturbances and human impact.</p>
  </abstract>
    </article-meta>
  </front>
<body>
      

<sec id="Ch1.S1" sec-type="intro">
  <label>1</label><title>Introduction</title>
      <p id="d1e302">Projected changes in climate and increasing human environmental impacts are
generating global concern about the functioning of ecosystems as well as the
provision of ecosystem services (IPCC, 2014; IPBES, 2019). Lowland
ecosystems (mesic and steppic grasslands, woodlands, etc.) provide an array
of provisioning (e.g. crops, grazed areas and wood) and regulating services
(e.g. soil protection; European Environmental Agency, 2016). However, in
comparison to the mountainous areas of central-eastern Europe, lowland
ecosystems, especially steppic grasslands, have been more strongly impacted
by human activities (Magyari et al., 2010; Tonkov et al., 2014; Feurdean et
al., 2015; Kuneš et al., 2015; Novenko et al., 2016; Shumilovskikh et
al., 2018, 2019; Jamrichová et al., 2019; Vincze et al., 2019; Cleary et al., 2019; Gumnior et al., 2020). This partly reflects the lowlands' deeper
and more fertile soils and the greater accessibility of the terrain, which
have promoted extensive agro-pastoral activities and human settlement.
Lowlands also include more frequent ecotones, i.e. woodland and grassland
borders, which are naturally more sensitive to climate change (Bohn et al.,
2003).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F1" specific-use="star"><?xmltex \currentcnt{1}?><?xmltex \def\figurename{Figure}?><label>Figure 1</label><caption><p id="d1e307">Potential natural vegetation cover in Europe showing the extent of
the European forest steppe region (after Bohn, 2003; © BfN,
Bundesamt für Naturschutz), the location of the study site and the other
published records used for comparisons. 1: Lake Oltina (study site); 2: Lake
Vracov; 3: Sarló-hát; 4: Lake Stiucii; 5: Durankulak 2; 6: Durankulak 3; 7: Dovjok; 8: Kardashinski; 9: Sudzha; 10: Selikhovo; 11: Istochek; 12: Podkosmovo. For references see Table 3.</p></caption>
        <?xmltex \igopts{width=455.244094pt}?><graphic xlink:href="https://bg.copernicus.org/articles/18/1081/2021/bg-18-1081-2021-f01.png"/>

      </fig>

      <p id="d1e316">According to Bohn et al. (2003), the potential natural vegetation (PNV) in
the study area, the easternmost part of the lower Danube Plain, also known
as the southern Dobrogea Plateau, is forest steppe, i.e. woodland patches
within a matrix of graminoid- and forb-dominated communities. It borders
steppe grasslands i.e. treeless vegetation cover dominated by graminoids
and forbs to the east. Forest steppe and steppe vegetation extend over 6000 km
along an east–west gradient across Eurasia (Fig. 1) under climate conditions
delimited by a ca. 2-month long late-summer drought for the forest steppe
zone and a 4–6 month one for the steppe (Walter, 1974). However, according to
the management plan for the region (Planul de Management, 2016), there are
currently few patches of natural steppe vegetation preserved in the southern
Dobrogea Plateau, as most have become ruderal steppe. Since the lower Danube
Plain represents one of the oldest areas of continuous human occupation from
the Neolithic onwards, i.e. 8000 cal yr BP (<uri>http://ran.cimec.ro</uri> (last access: 28 May 2019); Bălăşescu and Radu, 2004; Weininger et al.,
2009; Wunderlich et al., 2012; Nowacki et al., 2019; Preoteasa et al., 2018), and one of the most important agricultural areas in Europe (European
Environmental Agency, 2016), the current vegetation is likely very different
from its natural state, though it is not known exactly how different it is. The use
of the PNV as a baseline for natural vegetation has been found to be problematic,
as it considers only climax vegetation, i.e. the final stage of an
ecological succession, and assumes that vegetation remains static in space
and time (Chiarucci et al., 2010; Jackson et al., 2013; Abraham et al.,
2016; Rull, 2015). The PNV also fails to consider the vital role of natural
disturbances such as fire and herbivores and their impacts on vegetation
succession (Chiarucci et al., 2010; Feurdean et al., 2018), leading to
unrealistic vegetation reconstruction even in the absence of disturbance by
humans (Jackson et al., 2013). As a consequence, many areas that are
currently covered by grasslands or open woodlands in central-eastern Europe
are defined as naturally dominated by deciduous broadleaf forest or mixed
coniferous and broadleaf forest as the PNV (Feurdean et al., 2018).
Additionally, the representation of pioneer trees is much lower in the PNV than
suggested by pollen-based Holocene vegetation estimates (Abraham et al.,
2016). Significantly, the inaccurate identification of natural vegetation
types can lead to inappropriate decision making in terms of conservation
practices and policies. For example, the Global Partnership on Forest and
Landscape Restoration use the PNV to identify opportunities for landscape
restoration to mitigate climate change in areas where the climate can
sustain forest (<uri>http://www.wri.org/applications/maps/flr-atlas</uri>, last access: 20 May 2019). However,
this approach threatens grassland ecosystems, as such policies are based on
the false assumption that most grasslands are man-made and ignores
their richness at a smaller spatial scale (Whittaker et al. 2001), as well
as their unique cultural significance (Dengler et al., 2014).</p>
      <p id="d1e326">Palaeoecological records provide a way to assess the former natural
vegetation of a region and the legacy of natural disturbances and
anthropogenic impacts on landscapes (Willis and Birks, 2006). However, due
to the dry climate of the lower Danube Plain, very few palaeoecological
archives are available to document past natural vegetation types. This
leaves many open questions regarding the temporal dynamics of vegetation
composition and drivers of changes in this region and how its vegetation
composition compares to other forest steppe areas in central-eastern Europe
(Magyari et al., 2010; Feurdean et al., 2015; Kuneš et al., 2015),
southeastern Europe (Tonkov et al., 2014; Marinova and Atanassova, 2006) and the Eastern European Plain (Novenko et al., 2016; Shumilovskikh et al., 2018). Most of
the archaeological and loess deposits in the region are devoid of an
absolute chronology, have poor lithological context and lack favourable
pollen preservation (Tomescu, 2000). Nevertheless, based on these fragmentary
records, it appears that steppe may have covered the landscapes of this
region in the Early Holocene, while forest steppe vegetation may have
expanded during a moist phase of the Mid Holocene (Feurdean et al., 2014;
Tomescu, 2000; Wunderlich et al., 2012; Hansen<?pagebreak page1083?> et al., 2015). In
addition, models of deforestation rates, using a scenario that accounts for
population history and technological advances, suggest that the extent of
deforestation in the lower Danube basin has increased continuously since
4000 cal yr BP (Kaplan et al., 2009; Giosan et al., 2012). Indirect evidence
for the Holocene persistence of steppe grasslands in this region comes from
the genetic investigation of steppe species including <italic>Adonis vernalis</italic>, <italic>Astragalus exscapus</italic>, <italic>Stipa capillata</italic>, and <italic>S. pulcherrima</italic>, which
mostly show a unique genetic diversity reflecting the continuous occurrence
and limited past migration of these steppe elements within Europe (Kropf et al., 2020; Plenk et al., 2020).</p>
      <p id="d1e341">Here, we explore the long-term vegetation dynamics of the lower Danube
Plain's landscape and the competing driving forces (climate, fire and
anthropogenic impact). More specifically, we address the following research
questions:
<list list-type="custom"><list-item><label>i.</label>
      <p id="d1e346">Is forest steppe the natural vegetation type of the lower Danube Plain under
climatic conditions similar to those in the present?</p></list-item><list-item><label>ii.</label>
      <p id="d1e350">Has the tree cover been more extensive or dominated by other tree taxa in
the past?</p></list-item><list-item><label>iii.</label>
      <p id="d1e354">When did this area undergo the most marked land cover and land use changes,
and was this transformation continuous in time?</p></list-item></list>
This study is built on a pollen-based quantitative vegetation reconstruction
(REVEALS model; Regional Estimates of Vegetation Abundance from Large Sites), along with records of long-chain higher-plant wax
<inline-formula><mml:math id="M4" display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>-alkanes, macro-charcoal, coprophilous fungi and geochemistry from a
sedimentary sequence retrieved from Lake Oltina, southeastern Romania. This
is the first pollen-based quantitative land cover estimate in the forest
steppe of southeastern Europe. It allows for the hypothesis of the naturalness
of forest steppe ecosystems in this region, as well as its sensitivity to
climate and anthropogenic impact, to be critically tested (i.e. see Harrison et al., 2020).</p><?xmltex \hack{\newpage}?>
</sec>
<?pagebreak page1084?><sec id="Ch1.S2">
  <label>2</label><title>Study area</title>
<sec id="Ch1.S2.SS1">
  <label>2.1</label><title>Geography, climate and vegetation</title>
      <p id="d1e381">Lake Oltina (44<inline-formula><mml:math id="M5" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>09<inline-formula><mml:math id="M6" display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula>16<inline-formula><mml:math id="M7" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>′</mml:mo><mml:mo>′</mml:mo></mml:mrow></mml:msup></mml:math></inline-formula> N, 27<inline-formula><mml:math id="M8" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>38<inline-formula><mml:math id="M9" display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula>13<inline-formula><mml:math id="M10" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>′</mml:mo><mml:mo>′</mml:mo></mml:mrow></mml:msup></mml:math></inline-formula> E, 7 m a.s.l.) is
located on the floodplain of the Danube River, the lower Danube Plain, in
southeastern Romania (Fig. 1). It is the largest fluvial lake on the Danube
floodplain with a surface area of 33 km<inline-formula><mml:math id="M11" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:math></inline-formula> and is part of a natural
reserve and a Natura 2000 site (ROSPA0056; Management Plan 2016). The lake
has a major tributary, Canaraua Fetii, and is connected to two smaller
lakes, Ceamurlia and Iortmac, located upstream as well as to the Danube
River via an artificial dam built to prevent flooding (Telteu, 2014). The
climate in the study region is wet warm-temperate continental
(Köppen–Geiger class Dfa), also termed excessive, with the prevalence of
harsh winters and hot summers (Posea, 2005), due to the influence of
air masses from continental Asia. The mean annual temperature is ca. 11 <inline-formula><mml:math id="M12" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C, with a mean January temperature of ca. <inline-formula><mml:math id="M13" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M14" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C and a mean
summer temperature of 25 <inline-formula><mml:math id="M15" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C. Annual precipitation is about 400 mm
(Adamclisi meteorological station). The geology of the catchment comprises limestone
and loess deposits, whereas the soils are represented mainly by Haplic and
Luvic Chernozem and Phaeozem (IUSS WRB 2006). Friable steep loess
deposits are frequently eroded, delivering a clastic sedimentary influx into
the lake (Romanescu et al., 2010).</p>
      <p id="d1e491">The main potential vegetation types of the region include forest, forest
steppe and calciphile steppe (Bohn at al., 2003). The main forest types are:
thermophilous mixed deciduous broadleaf forests (subtypes G21, G22 and G34
according to Bohn et al., 2003), mesophytic deciduous broadleaf forests
(subtypes F49 and F67), forest steppe (subtype L13) and steppe (subtype M5).
Additionally, alluvial forests (subtypes U19 and U20), halophytic vegetation
(P33) and tall-reed vegetation and sedge swamps (R1) prevail (Bohn et al.,
2003). CORINE (Coordination of Information on the Environment) Land Cover data (2012) indicate that the present land cover
within a 20 km radius of the lake comprises ca. 65 % arable land and
orchards, 19 % steppe and semi-natural grassland, and 16 % deciduous
forest (S1; Grindean et al., 2019). Important tree species in forests within
this radius, and thus the most relevant for the pollen source area, are
<italic>Quercus pubescens, Q. pedunculiflora, Q. robur, Q. cerris, Q. virgiliana, Carpinus orientalis, Acer tataricum, Tilia tomentosa, Fraxinus excelsior</italic> and <italic>Ulmus minor</italic>, whereas hygrophilous tree taxa, growing along the Danube River, are
represented by <italic>Populus nigra</italic>, <italic>P. alba</italic>, <italic>Salix alba</italic> and <italic>S. fragilis</italic>. Shrubs occur abundantly either as understory
vegetation or as thickets and are composed of <italic>Fraxinus ornus, Cotinus coggygria</italic>, <italic>Prunus mahaleb</italic>, <italic>P. spinosa</italic>, <italic>P. cerasifera</italic>, <italic>Rosa canina</italic>, <italic>Pyrus communis</italic>, <italic>Crataegus monogyna</italic>, <italic>Amorpha fruticosa</italic>, <italic>Gleditsia triacanthos</italic>, <italic>Elaeagnus angustifolia</italic> and <italic>Ailanthus altissima</italic>. Natural grassland steppic species are common on calcareous
slopes and include <italic>Stipa stenophylla, S. ucrainica, S. capillata, Poa angustifolia, Festuca valesiaca</italic>, <italic>Bothriochloa ischaemum</italic>, <italic>Artemisia austriaca, Agrostis tenuis, Carex humilis, Centaurea orientalis</italic>, <italic>Astragalus ponticus</italic> and <italic>Thymus marschallianus</italic> (Sârbu et al., 2009; Grindean et al., 2019).</p>
</sec>
</sec>
<sec id="Ch1.S3">
  <label>3</label><title>Material and methods</title>
<sec id="Ch1.S3.SS1">
  <label>3.1</label><title>Core collection, lithology and chronology</title>
      <p id="d1e579">Sediment cores were extracted with a Livingstone piston corer (1 m long and 5 cm
diameter) from the central part of the lake (1.8 m water depth) in spring
2016. The less consolidated sediment at the surface (36 cm) had previously
been retrieved with a gravity corer in 2014. A lithostratigraphic
description was made according to changes in texture, colour, magnetic
susceptibility and the organic carbon content (loss on ignition; LOI).</p>
      <p id="d1e582">Volume magnetic susceptibility (<inline-formula><mml:math id="M16" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">κ</mml:mi><mml:mtext>vol</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula>) was measured with a
Bartington Instruments Ltd MS2 meter and E sensor (Bartington
Instruments, 2008). For LOI, samples were dried overnight at 105 <inline-formula><mml:math id="M17" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C and combusted for 5 h at 550 <inline-formula><mml:math id="M18" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C and then for 2 h at
900 <inline-formula><mml:math id="M19" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C, and LOI is expressed as percentage loss of the dry weight
(Heiri et al., 2001). A composite sedimentary core record totalling 964 cm
was constructed using the uppermost 10 cm from the gravity core and 10 overlapping Livingstone core sections. To determine the erosion and anoxic
conditions in the lake, elemental geochemical concentration was measured on
190 sediment samples (extracted at <inline-formula><mml:math id="M20" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 5 cm intervals along the
core) and subsequently dried and homogenized using a non-destructive Niton
XL3t 900 x-ray fluorescence analyser (FPXRF). An NCS DC73308 was employed as a
certified reference material (CRM). Measurement follows the procedure
described by Hutchinson et al. (2015). We selected the detrital element Zr as a
proxy for erosion (Kylander et al., 2011) and employed the Fe <inline-formula><mml:math id="M21" display="inline"><mml:mo>:</mml:mo></mml:math></inline-formula> Mn ratio to
reconstruct anoxic conditions in the lake (Nacher et al., 2013).</p>

      <?xmltex \floatpos{p}?><fig id="Ch1.F2" specific-use="star"><?xmltex \currentcnt{2}?><?xmltex \def\figurename{Figure}?><label>Figure 2</label><caption><p id="d1e640">Age–depth model for Lake Oltina using a Bayesian approach (for
more details, see Appendix A1). Accumulation: acc.; memory: mem.</p></caption>
          <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://bg.copernicus.org/articles/18/1081/2021/bg-18-1081-2021-f02.png"/>

        </fig>

<?xmltex \floatpos{p}?><table-wrap id="Ch1.T1" specific-use="star"><?xmltex \currentcnt{1}?><?xmltex \def\figurename{Table}?><label>Table 1</label><caption><p id="d1e653">AMS (accelerator mass spectrometry) <inline-formula><mml:math id="M22" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">14</mml:mn></mml:msup></mml:math></inline-formula>C measurements at Lake Oltina.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="5">
     <oasis:colspec colnum="1" colname="col1" align="justify" colwidth="65pt"/>
     <oasis:colspec colnum="2" colname="col2" align="justify" colwidth="24pt"/>
     <oasis:colspec colnum="3" colname="col3" align="justify" colwidth="50pt"/>
     <oasis:colspec colnum="4" colname="col4" align="justify" colwidth="75pt"/>
     <oasis:colspec colnum="5" colname="col5" align="justify" colwidth="55pt"/>
     <oasis:thead>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Lab code</oasis:entry>
         <oasis:entry colname="col2">Core</oasis:entry>
         <oasis:entry colname="col3">Depth (cm)</oasis:entry>
         <oasis:entry colname="col4">Material dated</oasis:entry>
         <oasis:entry colname="col5"><inline-formula><mml:math id="M23" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">14</mml:mn></mml:msup></mml:math></inline-formula>C age (<inline-formula><mml:math id="M24" display="inline"><mml:mrow><mml:mo>±</mml:mo><mml:mn mathvariant="normal">1</mml:mn><mml:mi mathvariant="italic">σ</mml:mi></mml:mrow></mml:math></inline-formula>)</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>
         <oasis:entry colname="col1">DeA-10928 <?xmltex \hack{\hfill\break}?>DeA-11083 <?xmltex \hack{\hfill\break}?>DeA-11085 <?xmltex \hack{\hfill\break}?>DeA-11087 <?xmltex \hack{\hfill\break}?>RoAMS 131.45 <?xmltex \hack{\hfill\break}?>RoAMS 128.45 <?xmltex \hack{\hfill\break}?>RoAMS 132.45 <?xmltex \hack{\hfill\break}?>RoAMS 366.45 <?xmltex \hack{\hfill\break}?>RoAMS 133.45 <?xmltex \hack{\hfill\break}?>RoAMS 356.45 <?xmltex \hack{\hfill\break}?>RoAMS 134.45 <?xmltex \hack{\hfill\break}?>RoAMS 364.45 <?xmltex \hack{\hfill\break}?>RoAMS 129.45 <?xmltex \hack{\hfill\break}?>RoAMS 135.45 <?xmltex \hack{\hfill\break}?>RoAMS 130.45 <?xmltex \hack{\hfill\break}?>RoAMS 363.45 <?xmltex \hack{\hfill\break}?>RoAMS 361.45</oasis:entry>
         <oasis:entry colname="col2">1.1 <?xmltex \hack{\hfill\break}?>1.2 <?xmltex \hack{\hfill\break}?>1.2 <?xmltex \hack{\hfill\break}?>1.3 <?xmltex \hack{\hfill\break}?>1.3 <?xmltex \hack{\hfill\break}?>1.4 <?xmltex \hack{\hfill\break}?>1.5 <?xmltex \hack{\hfill\break}?>1.5 <?xmltex \hack{\hfill\break}?>1.6 <?xmltex \hack{\hfill\break}?>1.6 <?xmltex \hack{\hfill\break}?>1.7 <?xmltex \hack{\hfill\break}?>1.7 <?xmltex \hack{\hfill\break}?>1.8 <?xmltex \hack{\hfill\break}?>1.9 <?xmltex \hack{\hfill\break}?>1.10 <?xmltex \hack{\hfill\break}?>1.10 <?xmltex \hack{\hfill\break}?>1.10</oasis:entry>
         <oasis:entry colname="col3">30 <?xmltex \hack{\hfill\break}?>105 <?xmltex \hack{\hfill\break}?>160 <?xmltex \hack{\hfill\break}?>240 <?xmltex \hack{\hfill\break}?>280 <?xmltex \hack{\hfill\break}?>374 <?xmltex \hack{\hfill\break}?>447 <?xmltex \hack{\hfill\break}?>487 <?xmltex \hack{\hfill\break}?>548 <?xmltex \hack{\hfill\break}?>547 <?xmltex \hack{\hfill\break}?>620 <?xmltex \hack{\hfill\break}?>683 <?xmltex \hack{\hfill\break}?>752 <?xmltex \hack{\hfill\break}?>804 <?xmltex \hack{\hfill\break}?>891 <?xmltex \hack{\hfill\break}?>926 <?xmltex \hack{\hfill\break}?>963</oasis:entry>
         <oasis:entry colname="col4">Shell <?xmltex \hack{\hfill\break}?>Bulk <?xmltex \hack{\hfill\break}?>Bulk <?xmltex \hack{\hfill\break}?>Bulk <?xmltex \hack{\hfill\break}?>Shell <?xmltex \hack{\hfill\break}?>Shell <?xmltex \hack{\hfill\break}?>Shell <?xmltex \hack{\hfill\break}?>Shell <?xmltex \hack{\hfill\break}?>Plant macrofossil <?xmltex \hack{\hfill\break}?>Shell <?xmltex \hack{\hfill\break}?>Shell <?xmltex \hack{\hfill\break}?>Shell <?xmltex \hack{\hfill\break}?>Shell <?xmltex \hack{\hfill\break}?>Shell <?xmltex \hack{\hfill\break}?>Shell <?xmltex \hack{\hfill\break}?>Bulk <?xmltex \hack{\hfill\break}?>Shell</oasis:entry>
         <oasis:entry colname="col5">880 <inline-formula><mml:math id="M25" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 19 <?xmltex \hack{\hfill\break}?>2053 <inline-formula><mml:math id="M26" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 28 <?xmltex \hack{\hfill\break}?>1832 <inline-formula><mml:math id="M27" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 27 <?xmltex \hack{\hfill\break}?>1928 <inline-formula><mml:math id="M28" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 37 <?xmltex \hack{\hfill\break}?>3016 <inline-formula><mml:math id="M29" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 30 <?xmltex \hack{\hfill\break}?>3473 <inline-formula><mml:math id="M30" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 23 <?xmltex \hack{\hfill\break}?>4042 <inline-formula><mml:math id="M31" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 24 <?xmltex \hack{\hfill\break}?>4715 <inline-formula><mml:math id="M32" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 34 <?xmltex \hack{\hfill\break}?>3459 <inline-formula><mml:math id="M33" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 31 <?xmltex \hack{\hfill\break}?>4457 <inline-formula><mml:math id="M34" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 35 <?xmltex \hack{\hfill\break}?>4856 <inline-formula><mml:math id="M35" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 25 <?xmltex \hack{\hfill\break}?>5097 <inline-formula><mml:math id="M36" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 36 <?xmltex \hack{\hfill\break}?>5476 <inline-formula><mml:math id="M37" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 25 <?xmltex \hack{\hfill\break}?>5648 <inline-formula><mml:math id="M38" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 27 <?xmltex \hack{\hfill\break}?>5055 <inline-formula><mml:math id="M39" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 30 <?xmltex \hack{\hfill\break}?>8886 <inline-formula><mml:math id="M40" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 41 <?xmltex \hack{\hfill\break}?>6093 <inline-formula><mml:math id="M41" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 42</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

      <p id="d1e1027">The chronology was established based on 18 AMS (accelerator mass spectrometry) <inline-formula><mml:math id="M42" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">14</mml:mn></mml:msup></mml:math></inline-formula>C measurements
(Table 1). Attempts to constrain the chronology of the top core via
<inline-formula><mml:math id="M43" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">210</mml:mn></mml:msup></mml:math></inline-formula>Pb and <inline-formula><mml:math id="M44" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">137</mml:mn></mml:msup></mml:math></inline-formula>Cs gamma assay measurements failed to produce any
meaningful results, probably due to surface sediment mixing. An attempt to
establish a tephra-based chronology also failed due to a poor match to any
known volcanic eruptions. The radiocarbon age estimates were converted into
calendar years BP via the Bacon software (Blaauw and Christen, 2011) using the
IntCal13 data set of Reimer et al. (2013). An age–depth curve was derived
based on a smoothing spline model (Fig. 2; for details on age–depth
construction, see Fig. A1 in the Appendix).</p>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T2" specific-use="star"><?xmltex \currentcnt{2}?><?xmltex \def\figurename{Table}?><label>Table 2</label><caption><p id="d1e1060">Pollen productivity estimates relative to Poaceae and their
respective fall speeds used in the REVEALS model.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="4">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="right"/>
     <oasis:colspec colnum="3" colname="col3" align="right"/>
     <oasis:colspec colnum="4" colname="col4" align="left"/>
     <oasis:thead>
       <oasis:row rowsep="1">
         <oasis:entry namest="col1" nameend="col4">(a) Local pollen productivity estimates (PPEs) </oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>
         <oasis:entry colname="col1">Taxon</oasis:entry>
         <oasis:entry colname="col2">PPE (Grindean</oasis:entry>
         <oasis:entry colname="col3">Fall speed</oasis:entry>
         <oasis:entry colname="col4">Reference for fall speed</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2">et al., 2019)</oasis:entry>
         <oasis:entry colname="col3">(m s<inline-formula><mml:math id="M46" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>)</oasis:entry>
         <oasis:entry colname="col4"/>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"><italic>Quercus</italic></oasis:entry>
         <oasis:entry colname="col2">1.10</oasis:entry>
         <oasis:entry colname="col3">0.035</oasis:entry>
         <oasis:entry colname="col4">Mazier et al. (2012)</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"><italic>Carpinus orientalis</italic></oasis:entry>
         <oasis:entry colname="col2">0.24</oasis:entry>
         <oasis:entry colname="col3">0.042</oasis:entry>
         <oasis:entry colname="col4">Mazier et al. (2012)</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"><italic>Acer</italic></oasis:entry>
         <oasis:entry colname="col2">0.30</oasis:entry>
         <oasis:entry colname="col3">0.056</oasis:entry>
         <oasis:entry colname="col4">Mazier et al. (2012)</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"><italic>Fraxinus</italic></oasis:entry>
         <oasis:entry colname="col2">2.99</oasis:entry>
         <oasis:entry colname="col3">0.022</oasis:entry>
         <oasis:entry colname="col4">Mazier et al. (2012)</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Poaceae</oasis:entry>
         <oasis:entry colname="col2">1.00</oasis:entry>
         <oasis:entry colname="col3">0.035</oasis:entry>
         <oasis:entry colname="col4">Mazier et al. (2012)</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Apiaceae</oasis:entry>
         <oasis:entry colname="col2">5.91</oasis:entry>
         <oasis:entry colname="col3">0.042</oasis:entry>
         <oasis:entry colname="col4">Mazier et al. (2012)</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Asteraceae</oasis:entry>
         <oasis:entry colname="col2">0.16</oasis:entry>
         <oasis:entry colname="col3">0.029</oasis:entry>
         <oasis:entry colname="col4">Mazier et al. (2012)</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Fabaceae</oasis:entry>
         <oasis:entry colname="col2">0.40</oasis:entry>
         <oasis:entry colname="col3">0.021</oasis:entry>
         <oasis:entry colname="col4">Commerford et al. (2013)</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"><italic>Plantago lanceolata</italic></oasis:entry>
         <oasis:entry colname="col2">0.58</oasis:entry>
         <oasis:entry colname="col3">0.029</oasis:entry>
         <oasis:entry colname="col4">Mazier et al. (2012)</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"><italic>Artemisia</italic></oasis:entry>
         <oasis:entry colname="col2">5.89</oasis:entry>
         <oasis:entry colname="col3">0.014</oasis:entry>
         <oasis:entry colname="col4">Abraham and Kozakova (2012)</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Rubiaceae</oasis:entry>
         <oasis:entry colname="col2">7.97</oasis:entry>
         <oasis:entry colname="col3">0.019</oasis:entry>
         <oasis:entry colname="col4">Broström et al. (2004)</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Cerealia</oasis:entry>
         <oasis:entry colname="col2">0.22</oasis:entry>
         <oasis:entry colname="col3">0.06</oasis:entry>
         <oasis:entry colname="col4">Mazier et al. (2012)</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Rosaceae</oasis:entry>
         <oasis:entry colname="col2">0.29</oasis:entry>
         <oasis:entry colname="col3">0.018</oasis:entry>
         <oasis:entry colname="col4">Mazier et al. (2012)</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry namest="col1" nameend="col4">(b) Literature-based pollen productivity estimates </oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Taxon</oasis:entry>
         <oasis:entry colname="col2">PPE</oasis:entry>
         <oasis:entry colname="col3">Fall speed</oasis:entry>
         <oasis:entry colname="col4">Reference</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3">(m s<inline-formula><mml:math id="M47" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>)</oasis:entry>
         <oasis:entry colname="col4"/>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"><italic>Pinus</italic></oasis:entry>
         <oasis:entry colname="col2">2</oasis:entry>
         <oasis:entry colname="col3">0.031</oasis:entry>
         <oasis:entry colname="col4">Abraham et al. (2014)</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"><italic>Salix</italic></oasis:entry>
         <oasis:entry colname="col2">2.31</oasis:entry>
         <oasis:entry colname="col3">0.022</oasis:entry>
         <oasis:entry colname="col4">Abraham et al. (2014)</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"><italic>Betula</italic></oasis:entry>
         <oasis:entry colname="col2">2.62</oasis:entry>
         <oasis:entry colname="col3">0.024</oasis:entry>
         <oasis:entry colname="col4">Abraham et al. (2014)</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"><italic>Ulmus</italic></oasis:entry>
         <oasis:entry colname="col2">6</oasis:entry>
         <oasis:entry colname="col3">0.032</oasis:entry>
         <oasis:entry colname="col4">Abraham et al. (2014)</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"><italic>Tilia</italic></oasis:entry>
         <oasis:entry colname="col2">0.5</oasis:entry>
         <oasis:entry colname="col3">0.032</oasis:entry>
         <oasis:entry colname="col4">Abraham et al. (2014)</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"><italic>Corylus avellana</italic></oasis:entry>
         <oasis:entry colname="col2">1.4</oasis:entry>
         <oasis:entry colname="col3">0.025</oasis:entry>
         <oasis:entry colname="col4">Abraham et al. (2014)</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"><italic>Carpinus betulus</italic></oasis:entry>
         <oasis:entry colname="col2">3.55</oasis:entry>
         <oasis:entry colname="col3">0.042</oasis:entry>
         <oasis:entry colname="col4">Abraham et al. (2014)</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"><italic>Alnus glutinosa</italic></oasis:entry>
         <oasis:entry colname="col2">4.2</oasis:entry>
         <oasis:entry colname="col3">0.021</oasis:entry>
         <oasis:entry colname="col4">Abraham et al. (2014)</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"><italic>Sambucus</italic></oasis:entry>
         <oasis:entry colname="col2">1.3</oasis:entry>
         <oasis:entry colname="col3">0.013</oasis:entry>
         <oasis:entry colname="col4">Abraham and Kozakova (2012)</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"><italic>Populus</italic></oasis:entry>
         <oasis:entry colname="col2">3</oasis:entry>
         <oasis:entry colname="col3">0.025</oasis:entry>
         <oasis:entry colname="col4">Matthias et al. (2012)</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Chenopodiaceae</oasis:entry>
         <oasis:entry colname="col2">4.28</oasis:entry>
         <oasis:entry colname="col3">0.019</oasis:entry>
         <oasis:entry colname="col4">Abraham and Kozakova (2012)</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"><italic>Rumex</italic></oasis:entry>
         <oasis:entry colname="col2">2.14</oasis:entry>
         <oasis:entry colname="col3">0.018</oasis:entry>
         <oasis:entry colname="col4">Mazier et al. (2012)</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Urticaceae</oasis:entry>
         <oasis:entry colname="col2">10.52</oasis:entry>
         <oasis:entry colname="col3">0.007</oasis:entry>
         <oasis:entry colname="col4">Abraham and Kozakova (2012)</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Ranunculaceae</oasis:entry>
         <oasis:entry colname="col2">1.96</oasis:entry>
         <oasis:entry colname="col3">0.014</oasis:entry>
         <oasis:entry colname="col4">Mazier et al. (2012)</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table><table-wrap-foot><p id="d1e1063"><inline-formula><mml:math id="M45" display="inline"><mml:msup><mml:mi/><mml:mo>∗</mml:mo></mml:msup></mml:math></inline-formula> Standardized after Mazier
et al. (2012).</p></table-wrap-foot></table-wrap>

<?xmltex \hack{\newpage}?>
</sec>
<?pagebreak page1086?><sec id="Ch1.S3.SS2">
  <label>3.2</label><title>Vegetation reconstruction</title>
<sec id="Ch1.S3.SS2.SSS1">
  <label>3.2.1</label><title>Pollen-based quantitative reconstruction of land cover using the
REVEALS model</title>
      <p id="d1e1629">To determine the past vegetation cover we used pollen analysis on samples of
1 cm<inline-formula><mml:math id="M48" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> at intervals ranging between 5 and 10 cm (a total of 105 samples)
along the composite core. Sediment preparation followed the protocol of
Goeury and de Beaulieu (1979). We identified the pollen grains using the
atlases of Reille (1995, 1999). A minimum of 300 terrestrial pollen grains
were counted at each level and used to calculate the pollen percentages. We
corrected for biases in taxon-specific pollen productivities and dispersal
and thereby produced a quantitative reconstruction of the vegetation cover
in the region surrounding Lake Oltina using the Regional Estimates of
Vegetation Abundance from Large Sites, i.e. REVEALS model (Sugita, 2007).
In this model, we used pollen productivity estimates (PPEs) for the most
characteristic plant taxa from the studied region. For 13 plant taxa that
include five woody and eight herbaceous and shrub taxa, we used PPEs
measured in this particular region (Grindean et al., 2019). We have
complemented these with literature-based PPEs for 14 additional taxa that
significantly contribute to the regional vegetation composition (Table 2).
We used the Sugita (2007) dispersal model with default settings for neutral
atmospheric conditions and wind speed (3 m s<inline-formula><mml:math id="M49" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>). The literature-based fall
speed of each pollen type (Table 2) is used to model dispersal. The spatial
extent of the regional vegetation is set at a 100 km radius. The vegetation
cover reconstructed using REVEALS always adds up to 100 %, which means
that taxa not included in the model, as well<?pagebreak page1087?> as non-pollen-producing areas,
are ignored. The 27 taxa selected for our REVEALS model represent between 77 and 95 % in the terrestrial pollen sum. Significant changes
in the vegetation assemblages were defined using stratigraphically
constrained cluster analyses (incremental sum of squares method) of REVEALS-based vegetation cover percentages in Tilia (Grimm, 2004).</p>
</sec>
<sec id="Ch1.S3.SS2.SSS2">
  <label>3.2.2</label><?xmltex \opttitle{Vegetation reconstruction based on leaf wax $n$-alkanes}?><title>Vegetation reconstruction based on leaf wax <inline-formula><mml:math id="M50" display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>-alkanes</title>
      <p id="d1e1669">To determine the source of organic matter and the predominant vegetation
type (Eglinton and Calvin, 1967; Ficken et al., 2000; Diefendorf et al., 2015), we measured the concentration of higher-plant-derived <inline-formula><mml:math id="M51" display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>-alkane
homologues of 60 sediment samples selected along the composite core.
<inline-formula><mml:math id="M52" display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>-Alkanes are an integral part of higher-plant leaf epicuticular waxes, highly
resistant to degradation and among the most stable lipid components of the
protective waxes coating terrestrial plant leaves (Eglinton and Eglinton,
2008; Sachse et al., 2012). They are commonly used to distinguish sources of
organic matter based on their chain length (see below). <inline-formula><mml:math id="M53" display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>-Alkanes were
extracted from freeze-dried and finely ground sediment samples (ca. 1 g dry
weight) with a Büchi SpeedExtractor at 75 <inline-formula><mml:math id="M54" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C and 100 bar
using 20 mL of a mixture of dichloromethane / methanol (<inline-formula><mml:math id="M55" display="inline"><mml:mrow><mml:mn mathvariant="normal">9</mml:mn><mml:mo>:</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula>) for 10 min, which
was repeated three times. Total lipid extracts (TLEs) were dried under a
stream of <inline-formula><mml:math id="M56" 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> at 36 <inline-formula><mml:math id="M57" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C. The apolar fraction containing
<inline-formula><mml:math id="M58" display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>-alkanes was eluted from the TLE by silica-gel column chromatography using
hexane. <inline-formula><mml:math id="M59" display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>-Alkanes were subsequently isolated from the apolar fraction using
urea adduction (Vasiliev et al., 2013). <inline-formula><mml:math id="M60" display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>-Alkane homologues were separated
and quantified by gas chromatography–mass spectrometry (GC–MS) using a
Thermo Finnigan Trace GC equipped with a HP-5MS column (30 m <inline-formula><mml:math id="M61" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 0.25 mm <inline-formula><mml:math id="M62" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 0.25 <inline-formula><mml:math id="M63" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>m) connected to a Thermo Finnigan DSQ II mass spectrometer. The
GC oven was held at 70 <inline-formula><mml:math id="M64" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C for 1 min and ramped at 10 <inline-formula><mml:math id="M65" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C min<inline-formula><mml:math id="M66" 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> to a final temperature of 280 <inline-formula><mml:math id="M67" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C, which was held for 15 min. <inline-formula><mml:math id="M68" display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>-Alkanes were identified by comparison of their mass spectra and
retention time to an external standard (<inline-formula><mml:math id="M69" display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>-C<inline-formula><mml:math id="M70" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">7</mml:mn></mml:msub></mml:math></inline-formula> to <inline-formula><mml:math id="M71" display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>-C<inline-formula><mml:math id="M72" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">40</mml:mn></mml:msub></mml:math></inline-formula>; Supelco) at a
concentration of 25 ng <inline-formula><mml:math id="M73" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>L. They were quantified using total ion
chromatogram peak areas calibrated against the external standard. Precision
of the quantification is 96 % as inferred from the standard deviation of
repeated standard runs (<inline-formula><mml:math id="M74" display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">5</mml:mn></mml:mrow></mml:math></inline-formula>). Concentrations of individual <inline-formula><mml:math id="M75" display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>-alkanes were
expressed as ng <inline-formula><mml:math id="M76" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>L<inline-formula><mml:math id="M77" 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> dry weight of sediment.</p>
      <p id="d1e1906">In this study, we calculated the ratio of straight-chain <inline-formula><mml:math id="M78" display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>-alkanes of
different chain lengths (homologues), as these have been previously used as
proxies for the relative contribution of various types of plants in
lacustrine sediments (e.g. Ficken et al., 2000; Zhou et al., 2005). Average
chain length (ACL) is an indicator of the relative abundance of short-
(C<inline-formula><mml:math id="M79" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">16</mml:mn></mml:msub></mml:math></inline-formula>–C<inline-formula><mml:math id="M80" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">20</mml:mn></mml:msub></mml:math></inline-formula>) vs. long-chain <inline-formula><mml:math id="M81" display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>-alkanes and may be linked to the
predominance of higher taxonomic plants over lower taxonomic plants (Ficken
et al., 2000; Eglinton and Calvin, 1967). Within the long-chain <inline-formula><mml:math id="M82" display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>-alkanes, the abundance of <inline-formula><mml:math id="M83" display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>-alkanes with <inline-formula><mml:math id="M84" display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>-C<inline-formula><mml:math id="M85" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">31</mml:mn></mml:msub></mml:math></inline-formula> and <inline-formula><mml:math id="M86" display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>-C<inline-formula><mml:math id="M87" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">33</mml:mn></mml:msub></mml:math></inline-formula> may be indicative of
grass predominance, whereas <inline-formula><mml:math id="M88" display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>-C<inline-formula><mml:math id="M89" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">27</mml:mn></mml:msub></mml:math></inline-formula> and <inline-formula><mml:math id="M90" display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>-C<inline-formula><mml:math id="M91" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">29</mml:mn></mml:msub></mml:math></inline-formula> may indicate a
predominantly tree-covered landscape (Aichner et al., 2010; Meyers, 2003).
The aquatic index (<inline-formula><mml:math id="M92" display="inline"><mml:mrow><mml:msub><mml:mi>P</mml:mi><mml:mtext>aq</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula>) quantifies the abundance of submerged and
floating vascular macrophytes, which are characterized by medium-chain-length <inline-formula><mml:math id="M93" display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>-alkanes, relative to emergent plant types that are characterized by
long-chain <inline-formula><mml:math id="M94" display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>-alkanes (Ficken et al., 2000). It should be noted that
<inline-formula><mml:math id="M95" display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>-alkanes are less successful in detecting coniferous than angiosperms
(Diefendorf et al., 2015) and that  some overlap within the medium-chain-length
alkanes <inline-formula><mml:math id="M96" display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>-C<inline-formula><mml:math id="M97" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">23</mml:mn></mml:msub></mml:math></inline-formula> and <inline-formula><mml:math id="M98" display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>-C<inline-formula><mml:math id="M99" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">25</mml:mn></mml:msub></mml:math></inline-formula> is possible (Aichner et al., 2010;
Meyers, 2003).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F3" specific-use="star"><?xmltex \currentcnt{3}?><?xmltex \def\figurename{Figure}?><label>Figure 3</label><caption><p id="d1e2088">Integrative diagram showing in-lake ecosystem and catchment
changes. Lake properties: volume magnetic susceptibly, organic matter
content and detrital elements (Zr and Fe <inline-formula><mml:math id="M100" display="inline"><mml:mo>:</mml:mo></mml:math></inline-formula> Mn ratio). Biomass burning as
determined from the macro-charcoal (CHAR) record and grazing activity from
coprophilous spores. Landscape cover determined from the arboreal-pollen
(AP) and the open-land pollen percentages; ACL (average chain length) of
higher plant and the ratio of (<inline-formula><mml:math id="M101" display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>-C<inline-formula><mml:math id="M102" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">31</mml:mn></mml:msub></mml:math></inline-formula> <inline-formula><mml:math id="M103" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> <inline-formula><mml:math id="M104" display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>-C<inline-formula><mml:math id="M105" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">33</mml:mn></mml:msub></mml:math></inline-formula>) <inline-formula><mml:math id="M106" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> (<inline-formula><mml:math id="M107" display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>-C<inline-formula><mml:math id="M108" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">27</mml:mn></mml:msub></mml:math></inline-formula> <inline-formula><mml:math id="M109" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> <inline-formula><mml:math id="M110" display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>-C<inline-formula><mml:math id="M111" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">29</mml:mn></mml:msub></mml:math></inline-formula>) as a proxy for abundance of higher plants, and herbs vs. trees
predominance in the landscape, respectively. Regional lake level
fluctuations at Lake Ledro, northern Italy
(45<inline-formula><mml:math id="M112" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N), and Lake Preola, southern Italy (37<inline-formula><mml:math id="M113" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N)
(Magni et al., 2013). Archaeological finds include settlements and
cemeteries within a 20 km radius of Lake Oltina taken from the Repertoriul
Arheologic National (National Archaeological Record of Romania; <uri>http://ran.cimec.ro</uri>, last access: 28 May 2019).</p></caption>
            <?xmltex \igopts{width=497.923228pt}?><graphic xlink:href="https://bg.copernicus.org/articles/18/1081/2021/bg-18-1081-2021-f03.png"/>

          </fig>

      <p id="d1e2213">The <inline-formula><mml:math id="M114" display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>-alkane proxies were calculated using the following equations:

                  <disp-formula id="Ch1.Ex1"><mml:math id="M115" display="block"><mml:mrow><mml:mstyle displaystyle="true" class="stylechange"/><mml:mtable class="split" columnspacing="1em" rowspacing="0.2ex" displaystyle="true" columnalign="right left"><mml:mtr><mml:mtd/><mml:mtd><mml:mrow><mml:mtext>Higher plants ACL</mml:mtext><mml:mspace linebreak="nobreak" width="0.25em"/><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">C</mml:mi><mml:mn mathvariant="normal">25</mml:mn></mml:msub></mml:mrow><mml:mo>-</mml:mo><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">C</mml:mi><mml:mn mathvariant="normal">33</mml:mn></mml:msub></mml:mrow><mml:mo>=</mml:mo><mml:mo>(</mml:mo><mml:mn mathvariant="normal">25</mml:mn><mml:mo>×</mml:mo><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">C</mml:mi><mml:mn mathvariant="normal">25</mml:mn></mml:msub></mml:mrow><mml:mo>+</mml:mo><mml:mn mathvariant="normal">27</mml:mn><mml:mo>×</mml:mo><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">C</mml:mi><mml:mn mathvariant="normal">27</mml:mn></mml:msub></mml:mrow><mml:mo>+</mml:mo><mml:mn mathvariant="normal">29</mml:mn></mml:mrow></mml:mtd></mml:mtr><mml:mtr><mml:mtd/><mml:mtd><mml:mrow><mml:mo>×</mml:mo><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">C</mml:mi><mml:mn mathvariant="normal">29</mml:mn></mml:msub></mml:mrow><mml:mo>+</mml:mo><mml:mn mathvariant="normal">31</mml:mn><mml:mo>×</mml:mo><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">C</mml:mi><mml:mn mathvariant="normal">31</mml:mn></mml:msub></mml:mrow><mml:mo>+</mml:mo><mml:mn mathvariant="normal">33</mml:mn><mml:mo>×</mml:mo><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">C</mml:mi><mml:mn mathvariant="normal">33</mml:mn></mml:msub></mml:mrow><mml:mo>)</mml:mo><mml:mo>/</mml:mo><mml:mo>(</mml:mo><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">C</mml:mi><mml:mn mathvariant="normal">25</mml:mn></mml:msub></mml:mrow><mml:mo>+</mml:mo><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">C</mml:mi><mml:mn mathvariant="normal">27</mml:mn></mml:msub></mml:mrow><mml:mo>+</mml:mo><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">C</mml:mi><mml:mn mathvariant="normal">29</mml:mn></mml:msub></mml:mrow><mml:mo>+</mml:mo><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">C</mml:mi><mml:mn mathvariant="normal">31</mml:mn></mml:msub></mml:mrow></mml:mrow></mml:mtd></mml:mtr><mml:mtr><mml:mtd/><mml:mtd><mml:mrow><mml:mo>+</mml:mo><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">C</mml:mi><mml:mn mathvariant="normal">33</mml:mn></mml:msub></mml:mrow><mml:mo>)</mml:mo><mml:mspace linebreak="nobreak" width="0.25em"/><mml:mtext>(Poynter and Eglinton, 1990),</mml:mtext></mml:mrow></mml:mtd></mml:mtr><mml:mtr><mml:mtd/><mml:mtd><mml:mrow><mml:mtext>Tree vs. grass</mml:mtext><mml:mo>=</mml:mo><mml:mo>(</mml:mo><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">C</mml:mi><mml:mn mathvariant="normal">27</mml:mn></mml:msub></mml:mrow><mml:mo>+</mml:mo><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">C</mml:mi><mml:mn mathvariant="normal">29</mml:mn></mml:msub></mml:mrow><mml:mo>)</mml:mo><mml:mo>/</mml:mo><mml:mo>(</mml:mo><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">C</mml:mi><mml:mn mathvariant="normal">31</mml:mn></mml:msub></mml:mrow><mml:mo>+</mml:mo><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">C</mml:mi><mml:mn mathvariant="normal">33</mml:mn></mml:msub></mml:mrow><mml:mo>)</mml:mo></mml:mrow></mml:mtd></mml:mtr><mml:mtr><mml:mtd/><mml:mtd><mml:mrow><mml:mtext>(Aichner et al., 2010),</mml:mtext></mml:mrow></mml:mtd></mml:mtr><mml:mtr><mml:mtd/><mml:mtd><mml:mrow><mml:msub><mml:mi>P</mml:mi><mml:mtext>aq</mml:mtext></mml:msub><mml:mo>=</mml:mo><mml:mo>(</mml:mo><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">C</mml:mi><mml:mn mathvariant="normal">23</mml:mn></mml:msub></mml:mrow><mml:mo>+</mml:mo><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">C</mml:mi><mml:mn mathvariant="normal">25</mml:mn></mml:msub></mml:mrow><mml:mo>)</mml:mo><mml:mo>/</mml:mo><mml:mo>(</mml:mo><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">C</mml:mi><mml:mn mathvariant="normal">23</mml:mn></mml:msub></mml:mrow><mml:mo>+</mml:mo><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">C</mml:mi><mml:mn mathvariant="normal">25</mml:mn></mml:msub></mml:mrow><mml:mo>+</mml:mo><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">C</mml:mi><mml:mn mathvariant="normal">29</mml:mn></mml:msub></mml:mrow><mml:mo>+</mml:mo><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">C</mml:mi><mml:mn mathvariant="normal">31</mml:mn></mml:msub></mml:mrow><mml:mo>)</mml:mo></mml:mrow></mml:mtd></mml:mtr><mml:mtr><mml:mtd/><mml:mtd><mml:mrow><mml:mtext>(Ficken et al., 2000)</mml:mtext><mml:mo>.</mml:mo></mml:mrow></mml:mtd></mml:mtr></mml:mtable></mml:mrow></mml:math></disp-formula>

            Analysis of the composition of lipid compounds in modern river sediment
deposits along the Danube River shows a predominantly local source of proxies derived from
branched glycerol dialkyl glycerol tetraethers (Freymond et
al., 2017). In line with this finding, we presume that changes in <inline-formula><mml:math id="M116" display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>-alkane
homologue abundance in our record integrate vegetation changes not only in the lake and
near the lake but also more regionally in the lake catchment.</p>
</sec>
</sec>
<sec id="Ch1.S3.SS3">
  <label>3.3</label><title>Regime disturbances by fire and herbivores</title>
      <p id="d1e2516">To determine past disturbance by fire, macroscopic charcoal particles were
counted in samples of 2 cm<inline-formula><mml:math id="M117" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> extracted at 1 cm contiguous intervals.
Samples were bleached, wet-sieved through a 150 <inline-formula><mml:math id="M118" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>m mesh and identified
under a stereomicroscope following the methodology described in Feurdean et al. (2017a). Here we report only the results for total macro-charcoal
particles. We calculated the macro-charcoal accumulation rate (CHAR,
particles cm<inline-formula><mml:math id="M119" 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> yr<inline-formula><mml:math id="M120" 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 dividing the total macro-charcoal
concentration by sediment deposition time (yr cm<inline-formula><mml:math id="M121" 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>). To determine past grazing
activity, coprophilous fungi (<italic>Sporormiella,</italic> <italic>Sordaria</italic> and <italic>Podospora</italic>) were tallied during routine pollen
counting (van Geel et al., 1980; Baker et al., 2013). Percentages of
coprophilous fungi were determined by adding their own sum to the total
terrestrial pollen sum.</p><?xmltex \hack{\newpage}?>
</sec>
</sec>
<?pagebreak page1088?><sec id="Ch1.S4">
  <label>4</label><title>Results</title>
<sec id="Ch1.S4.SS1">
  <label>4.1</label><title>Chronology and sediment composition</title>
      <p id="d1e2599">The lithology of the core at Lake Oltina showed little variability
throughout the profile and comprises clay, gyttja clay and sandy clay. The
age–depth model indicates a rather constant sediment accumulation rate with
a mean of 5 yr cm<inline-formula><mml:math id="M122" 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 no evidence of hiatuses (Figs. 2; A1). Organic matter (OM) as
determined from LOI at 550 <inline-formula><mml:math id="M123" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C varied between 3 % and 10 % with
slightly higher values between 5000 and 3500 cal yr BP and over the past
2000 years (Fig. 3). Our selected geochemical detrital element, Zr, a proxy
for erosion, showed the lowest values between 5500 and 3500 cal yr BP (up to
150 ppm) and greater, highly fluctuating values at the beginning of the
record and over the 2500 years (Fig. 3). The <inline-formula><mml:math id="M124" display="inline"><mml:mrow class="chem"><mml:mi mathvariant="normal">Fe</mml:mi><mml:mo>:</mml:mo><mml:mi mathvariant="normal">Mn</mml:mi></mml:mrow></mml:math></inline-formula> ratio, a proxy for
anoxic conditions in the lake, generally displayed large variability
throughout the profile, although values were higher between 4000 and 3500 cal yr BP, around 3000 cal yr BP, and between 2000 and 1500 cal yr BP (Fig. 3).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F4" specific-use="star"><?xmltex \currentcnt{4}?><?xmltex \def\figurename{Figure}?><label>Figure 4</label><caption><p id="d1e2637">Raw pollen percentages and estimated regional vegetation cover
based on the REVEALS model for 27 taxa including trees, shrubs and herbs at
Lake Oltina. Horizontal lines denote the timing of the most important
changes in the vegetation assemblages. NAP: non-arboreal pollen; CONISS: stratigraphically constrained cluster analysis.</p></caption>
          <?xmltex \igopts{width=497.923228pt}?><graphic xlink:href="https://bg.copernicus.org/articles/18/1081/2021/bg-18-1081-2021-f04.png"/>

        </fig>

</sec>
<sec id="Ch1.S4.SS2">
  <label>4.2</label><title>Landscape reconstruction from pollen</title>
      <p id="d1e2654">The cluster analysis applied on the pollen record indicated three major
periods of change in land cover and vegetation openness over the last 6000 years: open temperate and xerothermic deciduous broadleaf forest between
6000 and 4200 cal yr BP, the maximum extent of broadleaf tree cover between
4200 and 2500 cal yr BP, and the expansion of grassland between 2500 cal yr BP and the present (Fig. 4). Results from the REVEALS model suggest that
landscape openness was ca. 10 %–15 % greater than the estimates derived from
the raw pollen data. Overall, REVEALS indicate a greater proportion of
<italic>Carpinus orientalis</italic>, <italic>Tilia</italic>, <italic>Acer</italic>, Rosaceae, Cerealia  and  Asteraceae and a lower proportion of <italic>Corylus avellana, Betula, Ulmus, Alnus</italic>,
<italic>Fraxinus, Salix,</italic> <italic>Artemisia</italic> and Chenopodiaceae than the raw pollen data (Fig. 4). <italic>Quercus, Plantago lanceolata</italic> and Poaceae show a
largely similar abundance in both the raw data and REVEALS estimates.</p>
<sec id="Ch1.S4.SS2.SSS1">
  <label>4.2.1</label><?xmltex \opttitle{6000--4200\,cal\,yr\,BP: open temperate and xerothermic deciduous broadleaf forest or forest steppe}?><title>6000–4200 cal yr BP: open temperate and xerothermic deciduous broadleaf forest or forest steppe</title>
      <p id="d1e2687">The REVEALS estimate of tree cover fluctuated around 40 %, compared to
<inline-formula><mml:math id="M125" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 55 % in the raw pollen percentages, and was primarily
represented by <italic>Carpinus orientalis, Quercus, Carpinus betulus, Corylus avellana, Tilia</italic> and <italic>Ulmus</italic> (Fig. 4). The REVEALS model predicts an almost equal
proportion of total forb (<italic>Artemisia,</italic> Chenopodiaceae, Asteraceae, Rosaceae,
Brassicaceae, <italic>Plantago major</italic>, <italic>Thalictrum</italic> and Caryophyllaceae) and grass (Poaceae) in the herbaceous cover
(Fig. 4). However, in the raw pollen percentages, forbs dominate the
herbaceous assemblages (30 %), whereas Poaceae constitutes <inline-formula><mml:math id="M126" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 20 % (Figs. 4; A2). The Cerealia cover estimate fluctuates around
<inline-formula><mml:math id="M127" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 20 % in the REVEALS model<?pagebreak page1089?> and was below 5 % in the raw
pollen percentages. CHAR values were high between 6000 and 5000 cal yr BP
and declined markedly thereafter (Fig. 3). The abundance of coprophilous
fungi (<italic>Podospora, Sordaria</italic> and <italic>Sporormiella</italic>), on the other hand, rose between 5000 and 4000 cal yr BP (Figs. 3; A2).</p>
</sec>
<sec id="Ch1.S4.SS2.SSS2">
  <label>4.2.2</label><?xmltex \opttitle{4200--2500\,cal\,yr\,BP: maximum extent of temperate and xerothermic deciduous broadleaf tree cover}?><title>4200–2500 cal yr BP: maximum extent of temperate and xerothermic deciduous broadleaf tree cover</title>
      <?pagebreak page1090?><p id="d1e2742">Tree cover increased to its maximum extent in the profile (fluctuating
around 55 %) and was mostly represented by <italic>Carpinus orientalis</italic> and <italic>Quercus</italic> with some occurrence of <italic>Carpinus betulus, Corylus avellana</italic> and <italic>Tilia</italic> (Fig. 4).  The rise in <italic>Carpinus orientalis</italic> abundance is more evident in the REVEALS reconstruction
(40 %) than in the raw pollen percentages (20 %). In the herbaceous
cover, Poaceae declined the most, but there were no marked changes in pollen
of primary anthropogenic indicators (Cerealia; Fig. 4). Both the abundance
of CHAR and of coprophilous fungi decreased to one of the lowest in the
profile (Fig. 3).</p>
</sec>
<sec id="Ch1.S4.SS2.SSS3">
  <label>4.2.3</label><?xmltex \opttitle{2500--0\,cal\,yr\,BP: decline in \textit{Carpinus orientalis}--\textit{Quercus} tree cover and the expansion of grassland and pasture and arable cover}?><title>2500–0 cal yr BP: decline in <italic>Carpinus orientalis</italic>–<italic>Quercus</italic> tree cover and the expansion of grassland and pasture and arable cover</title>
      <p id="d1e2775">The tree cover declined abruptly to ca. 20 %; this was most evident for
<italic>Carpinus orientalis</italic>, decreasing from 40 % to 10 %  (Fig. 4). However, tree cover fluctuated strongly over
the last 2500 years, with intervals of lower values (20 %) between 2500
and 1700 cal yr BP and over the last 1000 years and of increases (30 %)
between 1700 and 1000 cal yr BP (Fig. 4).  The REVEALS estimate also suggests
an increased proportion of grass (Poaceae), cultivated cereals (Cerealia and
<italic>Secale cereale</italic>) and forbs.  Among forbs, ruderal taxa Asteraceae, <italic>Plantago lanceolata</italic> and Rosaceae showed the
most visible increase (Figs. 4; A2). CHAR values increased gradually from the
beginning of this time interval and attained a maximum in the profile
between 2000 and 1700 cal yr BP, followed by the lowest values in the
profile over the last 1000 years (Fig. 3). The abundance of coprophilous
fungi was particularly elevated between 2500 and 2000 cal yr BP and over the
last 1000 years.</p>
</sec>
</sec>
<sec id="Ch1.S4.SS3">
  <label>4.3</label><?xmltex \opttitle{$n$-Alkane-based lake catchment ecosystem changes}?><title><inline-formula><mml:math id="M128" display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>-Alkane-based lake catchment ecosystem changes</title>
      <p id="d1e2803">The (C<inline-formula><mml:math id="M129" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">27</mml:mn></mml:msub></mml:math></inline-formula>–C<inline-formula><mml:math id="M130" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">29</mml:mn></mml:msub></mml:math></inline-formula>) <inline-formula><mml:math id="M131" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> (C<inline-formula><mml:math id="M132" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">31</mml:mn></mml:msub></mml:math></inline-formula>–C<inline-formula><mml:math id="M133" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">33</mml:mn></mml:msub></mml:math></inline-formula>) ratio in Lake Oltina varied
between 0.63 and 5.99 and showed the greatest values (2.84) between 4200 and
2000 cal yr BP and the lowest values between 5500 and 4200 cal yr BP (1.76) as
well as over the past 2000 years (1.83; Fig. 3). The ACL varied between 27
and 30 and shows an opposite pattern to the
(C<inline-formula><mml:math id="M134" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">27</mml:mn></mml:msub></mml:math></inline-formula>–C<inline-formula><mml:math id="M135" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">29</mml:mn></mml:msub></mml:math></inline-formula>) <inline-formula><mml:math id="M136" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> (C<inline-formula><mml:math id="M137" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">31</mml:mn></mml:msub></mml:math></inline-formula>–C<inline-formula><mml:math id="M138" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">33</mml:mn></mml:msub></mml:math></inline-formula>) ratio. <inline-formula><mml:math id="M139" display="inline"><mml:mrow><mml:msub><mml:mi>P</mml:mi><mml:mtext>aq</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> varied between 2 and
12 and showed the greatest values between 6000 and 5500, 4000 and 2500, and 1200 and 500 cal yr BP.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F5"><?xmltex \currentcnt{5}?><?xmltex \def\figurename{Figure}?><label>Figure 5</label><caption><p id="d1e2906">Comparative summary of the percentage vegetation cover estimates
based on the REVEALS model and raw pollen percentages at Lake Oltina. Open
land cover includes all non-arboreal-pollen types, mostly indicators of
pastures and grasslands. The Cerealia group includes <italic>Secale cereale</italic>, <italic>Triticum, Zea</italic> and <italic>Hordeum</italic>. Horizontal lines
denote the timing of the most important changes in the vegetation
assemblages. Archaeological finds as in Fig. 3.</p></caption>
          <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://bg.copernicus.org/articles/18/1081/2021/bg-18-1081-2021-f05.png"/>

        </fig>

</sec>
</sec>
<sec id="Ch1.S5">
  <label>5</label><title>Discussion</title>
<sec id="Ch1.S5.SS1">
  <label>5.1</label><?xmltex \opttitle{Forest steppe and woodlands between 6000 and 2500\,cal\,yr\,BP with a maximum
tree cover between 4200 and 2500\,cal\,yr\,BP}?><title>Forest steppe and woodlands between 6000 and 2500 cal yr BP with a maximum
tree cover between 4200 and 2500 cal yr BP</title>
      <p id="d1e2942">The pollen-based quantitative land cover reconstruction shows an average
tree cover of 40 % between 6000 and 4200 cal yr BP and a tree cover
maximum of 50 % between 4200 and 2500 cal yr BP in the surroundings of
Lake Oltina (Figs. 4 and 5). In a pollen-based biome reconstruction, such a
proportion of trees is likely to be indicative of a forest steppe or open-woodland type (Marinova et al., 2018). This woodland consists of tree taxa
of xerothermic  character including <italic>Quercus</italic> (likely <italic>Q. cerris</italic> and <italic>Q. pubescens</italic>) and <italic>Carpinus orientalis,</italic> along with temperate trees
such as <italic>Carpinus betulus</italic>, <italic>Acer,</italic> <italic>Tilia, Ulmus</italic> and <italic>Fraxinus</italic>. Shrub (Rosaceae, <italic>Rosa canina, Sambucus, Prunus</italic> and <italic>Cornus</italic>), grass and forb communities were
abundant and composed of a diverse mixture of mesophytic, xerothermic and
halophilous taxa (Fig. A2). Coeval with the maximum extent in tree cover,
the <inline-formula><mml:math id="M140" display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>-alkanes were dominated by shorter chain lengths (ACL) and a higher
<inline-formula><mml:math id="M141" display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>(C<inline-formula><mml:math id="M142" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">27</mml:mn></mml:msub></mml:math></inline-formula> <inline-formula><mml:math id="M143" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> C<inline-formula><mml:math id="M144" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">29</mml:mn></mml:msub></mml:math></inline-formula>) <inline-formula><mml:math id="M145" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> (C<inline-formula><mml:math id="M146" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">33</mml:mn></mml:msub></mml:math></inline-formula> <inline-formula><mml:math id="M147" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> C<inline-formula><mml:math id="M148" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">31</mml:mn></mml:msub></mml:math></inline-formula>) ratio, indicative of an increased
contribution of tree-derived <inline-formula><mml:math id="M149" display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>-alkanes (Meyers, 2003; Aichner et al., 2010).
However, the concentration of individual <inline-formula><mml:math id="M150" display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>-alkanes <inline-formula><mml:math id="M151" display="inline"><mml:mo>&gt;</mml:mo></mml:math></inline-formula> C<inline-formula><mml:math id="M152" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">27</mml:mn></mml:msub></mml:math></inline-formula> (not shown) varied with that of detrital element Zr. It was high between
6000 and 4200 cal yr BP and declined between 4200 and 2500 cal yr BP,
suggesting a reduction in terrestrial plant delivery into the lake during
the highest tree cover. The maximum extent of tree cover parallels a slight
Fe <inline-formula><mml:math id="M153" display="inline"><mml:mo>:</mml:mo></mml:math></inline-formula> Mn ratio increase more evident between 4000–3500 and 3000–2500 cal yr BP. This may indicate the establishment of more anoxic conditions
(Naeher et al., 2013), possibly associated with a higher lake level due to
the intensification of Danube water and sediment discharge into the lake, a
higher lake<?pagebreak page1091?> trophic status or less turbulent conditions. Increased anoxia
linked to a higher lake trophic status and the decomposition of organic
matter is supported by the slight increase of submerged aquatic macrophyte
(<inline-formula><mml:math id="M154" display="inline"><mml:mrow><mml:msub><mml:mi>P</mml:mi><mml:mtext>aq</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula>; Fig. 3). The presence of more aquatic plants in the lake at the
time of the rise in the Fe <inline-formula><mml:math id="M155" display="inline"><mml:mo>:</mml:mo></mml:math></inline-formula> Mn ratio is also reflected in the increased abundance
of aquatic and wetland taxa (<italic>Potamogeton, Myriophyllum</italic> and <italic>Typha/Sparganim</italic>; Fig. 4). On the other hand, low values of the
lithogenic element Zr between 4200 and 2500 cal yr BP indicate more stable
slope conditions with lower catchment run off, which might support the
hypothesis that increased anoxia may have resulted from less turbulent
conditions in the lake.</p>
      <p id="d1e3111">On a regional scale, the 6000–4200 cal yr BP interval was characterized by
contrasting climate conditions north and south of 45<inline-formula><mml:math id="M156" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N latitude, due
to differences in the dynamics of the storm tracks carrying moisture from
the North Atlantic Ocean and Mediterranean Sea (Persoiu et al., 2017).
Whilst southern Europe lake levels were low prior to 4500 cal yr BP, those
in central Europe showed high stands during the same period (Magny et al.,
2013). An opposite pattern is, however, visible after 4500 cal yr BP, when
southern Europe lake levels increased, whereas those in central Europe
declined. The lake level increase after 4500 cal yr BP also paralleled an
intensification of fluvial activity in several rivers in southern Romania
and the southern part of the Danube River at this time (Bozilova and Tonkov,
1998; Filipova-Marinova et al., 2007; Howard et al., 2004). Coastal lakes along the Black Sea were also at higher water levels at
this time, whereas the Black Sea's level fluctuated strongly (Lamy et al.,
2006). Lake Oltina is situated at 45<inline-formula><mml:math id="M157" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N and thus at the
transition between these contrasting southern and northern Europe changes in
hydro-climatic conditions. Our evidence of the maximum expansion of the tree
cover and possibly an association with wetter conditions after 4500 cal yr BP may indicate the response of tree cover to increased moisture
availability in the region (Fig. 3). A greater-than-present extent of tree
cover at 6000 cal yr BP in response to higher precipitation has also been
simulated for this region (Patriche et al., 2020).</p>
      <p id="d1e3132">Macro-charcoal-based reconstruction of biomass burning and thus disturbance
by fire was low between 4200 and 2500 cal yr BP at the time of greater
forest cover and wetter climate conditions (Fig. 3).
This fire–climate–vegetation relationship is typical for a temperate
environment but contrasts with the pattern found in environments with low
vegetation productivity, where increased moisture tends to enhance
vegetation productivity and therefore fuel availability (Pausas and Ribeiro
2013; Feurdean et al., 2020). Disturbance by herbivores, as inferred from
the abundance of coprophilous spores, showed moderate values at the
beginning of the record but declined during the interval of tree cover
increase (Fig. 3). This may point to some impact by herbivores on the degree
of forest openness, i.e. increased tree cover with a decline in grazing
activity. However, given the large size of the study lake, the distance from
the lakeshore to the coring point might have limited the transportation of
these spores and have an impact on how representative their presence might be
(Baker et al., 2013).</p>
</sec>
<sec id="Ch1.S5.SS2">
  <label>5.2</label><?xmltex \opttitle{Transition from forest steppe to cultural steppe over the last 2500\,cal\,yr\,BP}?><title>Transition from forest steppe to cultural steppe over the last 2500 cal yr BP</title>
      <p id="d1e3144">Tree cover dropped from 50 % at 2500 cal yr BP to <inline-formula><mml:math id="M158" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 20 %
at 2200 cal yr BP (Fig. 5). Tree species composition retained a xerothermic
character, although <italic>Carpinus orientalis</italic>,  typical of hot and dry climatic and soil conditions (Sikkema and Caudullo, 2016), declined most strongly from 40 % to 10 % (Fig. 4).
The pollen-based reduction in tree cover was concurrent with a decreasing
<inline-formula><mml:math id="M159" display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>(C<inline-formula><mml:math id="M160" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">27</mml:mn></mml:msub></mml:math></inline-formula> <inline-formula><mml:math id="M161" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> C<inline-formula><mml:math id="M162" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">29</mml:mn></mml:msub></mml:math></inline-formula>) <inline-formula><mml:math id="M163" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> (C<inline-formula><mml:math id="M164" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">33</mml:mn></mml:msub></mml:math></inline-formula> <inline-formula><mml:math id="M165" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> C<inline-formula><mml:math id="M166" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">31</mml:mn></mml:msub></mml:math></inline-formula>) ratio, characteristic of an
increased contribution of grasses, further suggesting a tree loss
(Fig. 4). An average of 20 % tree cover at 2200 cal yr BP is close to the
current tree cover in the surroundings of Lake Oltina (15 %), which
suggests the opening up of the forest steppe to a similar extent as today.
Anthropogenic conversion of broadleaf forests to agricultural land from 2500 cal yr BP onwards is suggested by the rise in the pollen of Cerealia
(<italic>Secale cereale</italic>, <italic>Triticum, Zea</italic> and <italic>Hordeum</italic>), grassland (Poaceae), and pastoral and ruderal indicators (<italic>P. lanceolata, Urtica, Rumex,</italic> Chenopodiaceae,
<italic>Artemisia,</italic> Asteraceae and Apiaceae; Figs. 4, 5 and A2). The levels of pollen of grazing
indicators and nutrient-enriched soils (<italic>Plantago lanceolata, Urtica</italic> and <italic>Rumex)</italic>, as well as coprophilous fungi, are
particularly elevated after 2200 cal yr BP and may reflect more intensive
animal husbandry. A higher representation of Cerealia in the REVEALS estimate
(40 %) than the raw pollen record (5 %) is not surprising given the poor
productivity and dispersal of most of the Cerealia pollen types. However, the
magnitude of this difference is greater than generally reported in the
literature. Nevertheless, the good match between the proportion of arable
cover in the REVEALS and current land cover maps from CORINE for recent
times suggest that our REVEALS reconstruction best reflects that of
cultivated land. Uncertainties in pollen-based land cover reconstruction are
common and connected to the availability and accuracy of the productivity
estimates (PPEs), changes in cropland and grassland management, and the
general assumptions of the REVEALS model (Sugita, 2017; Hellman et
al., 2009; Trondman et al., 2015; Feurdean et al., 2017b). Our Cerealia
pollen includes <italic>Triticum, Zea, Hordeum</italic> and <italic>Secale cereale</italic>, for which we have used productivity estimates derived
from the calibration of local surface pollen samples with a vegetation
inventory (Grindean et al., 2019). These productivity estimates are
considerably lower than the average for Europe (0.22 vs. 1.85; Mazier et
al., 2012) and are therefore the main cause of the high proportion of Cerealia
cover reconstructed by REVEALS and the disparity between the outcome of this
study and others elsewhere in Europe. Furthermore, the crop species included
in Cerealia also vary regionally and with time, which may also introduce
further variation when<?pagebreak page1092?> applying their PPEs for landscape reconstruction over
an extended period of time. Lastly, the occurrence of wild-grass species
with pollen that fall in the Cerealia pollen type (all Poaceae grains larger
than 40 <inline-formula><mml:math id="M167" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>m) may have led to an overestimation of the proportion of
Cerealia at certain times in the past. Biomass burning increased
concurrently with the spread of pasture and grassland communities, which may
indicate the use of fire for land use management (Fig. 3). However, fire
activity fell to its lowest level in the profile in the last 1000 years,
probably due to a decline in biomass availability associated with intensive
land use and landscape fragmentation typical of lowlands (Marlon et al.,
2016; Feurdean et al., 2013, 2020).</p>
      <p id="d1e3259">The timing of forest loss coincides with the peak number of archaeological
finds in the Iron Age but is pre-dated by the abundant archaeological finds
of the Bronze Age, i.e. 4000 cal yr BP (Fig. 5). Interestingly, the typology
of the houses in this area (i.e. small houses three-quarters buried in the
ground with one-quarter above ground comprising mud brick walls, roofed
with straw or reeds typical during the past 3000 years) also reflects the
limited availability of timber for building (Ailincăi, 2009). Historical
records show that, due to its smaller size, <italic>Carpinus orientalis</italic> was managed in coppice stands
for household items and fuel production as firewood or charcoal (Goldstein et
al., 1995; San-Miguel-Ayanz et al., 2016), and this may have also been
the cause of its marked reduction from 2500 cal yr BP at Lake Oltina.
<italic>Quercus</italic> decline on the other hand was more modest except for the last 1000 years.
Historically, the aftermaths of the Slavic (first millennium CE) and Mongol
(1224 CE) invasions could be a reason for a strong <italic>Quercus</italic> decline around this time
(Matei, 1984; Epure, 2004). Oak was preferentially used for fortification in
southwestern Romania (Sava et al., 2019; Gumnior et al., 2020). Nevertheless, tree
cover and <italic>Quercus</italic>, in particular, recorded episodic rises with the strongest being
visible between 1700 and 1300 cal yr BP. This reforestation phase appears to
coincide with the post-Roman decline in rural settlement and the subsequent
re-growth of secondary forests (Roberts et al., 2018). However, selective
oak preservation, due to its economic significance, may have also led to
this pattern of <italic>Quercus </italic>increases, as documented over large areas in Europe (Gardner et al., 2002; Feurdean et al., 2011; Jamrichová et al., 2017; Gumnior et al., 2020). Models of deforestation rates, using a scenario that accounts
for population history and technological advances, suggest that the extent
of deforestation in the lower Danube basin increased continuously from 4000
cal yr BP and rapidly doubled after 1000 CE (Kaplan et al., 2009; Giosan et
al., 2012), thus much later than our pollen-based land cover reconstruction.
Assuming no age correction for the hard-water effect would result in an age
1000 years older than that calculated by taking into account this dating
limitation, which pushes the timing of major deforestation back to 3500 cal yr BP. This corroborates with the timing of deforestation found in
Transylvania, central Romania, based on the REVEALS model (Feurdean et al., 2015)
and with the onset of a local increase in archaeological finds of the Bronze
Age (Fig. 5).</p>
      <p id="d1e3277">In-lake and catchment changes are also apparent in the Lake Oltina around
the onset of forest loss. A slight increase in the Fe <inline-formula><mml:math id="M168" display="inline"><mml:mo>:</mml:mo></mml:math></inline-formula> Mn ratio, along with
the sharp rise in Zr concentrations between 2500 and 1500 cal yr BP, may
reflect soil erosion and detrital input into the lake associated with a
diminished tree cover (Fig. 3), an inference also supported by an abrupt
rise in charcoal and <inline-formula><mml:math id="M169" display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>-alkane <inline-formula><mml:math id="M170" display="inline"><mml:mo>&gt;</mml:mo></mml:math></inline-formula> C<inline-formula><mml:math id="M171" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">27</mml:mn></mml:msub></mml:math></inline-formula> concentrations.
Intensification in fluvial activity in several rivers in southern Romania
(Howard et al., 2004; Persoiu and Radoane, 2017), as well as on a wider
scale in central Europe (Wirth et al., 2013), has been reconstructed after
3000 cal yr BP. The Danube's water and sediment discharge could therefore
be another source of detrital and terrestrial plant delivery into the lake.
In contrast, the Black Sea level lowered, which also suggests drier
conditions in the eastern Mediterranean and over the Black Sea around the time
of deforestation (Lamy et al., 2006), in line with the drier conditions in
southwestern Romania found between 2000 and 1000 cal yr BP (Dragusin et al., 2014).
Southern European lake levels remained high at the time of deforestation,
while those from central Europe (Magny et al., 2011, 2013) and central
Romania declined (Feurdean et al., 2013), though others in Romania increased
(Magyari et al., 2009).</p>

      <?xmltex \floatpos{p}?><fig id="Ch1.F6" specific-use="star"><?xmltex \currentcnt{6}?><?xmltex \def\figurename{Figure}?><label>Figure 6</label><caption><p id="d1e3313">Arboreal-pollen percentages illustrating temporal trends in
deforestation in three different sub-regions along a west–east transect
across the European forest steppe region. For the location of individual
sites, see Fig. 1 and Table 3.</p></caption>
          <?xmltex \igopts{width=312.980315pt}?><graphic xlink:href="https://bg.copernicus.org/articles/18/1081/2021/bg-18-1081-2021-f06.png"/>

        </fig>

<?xmltex \floatpos{p}?><table-wrap id="Ch1.T3" specific-use="star"><?xmltex \currentcnt{3}?><?xmltex \def\figurename{Table}?><label>Table 3</label><caption><p id="d1e3325">Compilation of palaeoecological records along a west–east transect
of the European forest steppe. Cz: Czech Republic; Hu: Hungary; RO: Romania;
BG: Bulgaria; UA: Ukraine; RU: Russia.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="5">
     <oasis:colspec colnum="1" colname="col1" align="justify" colwidth="60pt"/>
     <oasis:colspec colnum="2" colname="col2" align="justify" colwidth="30pt"/>
     <oasis:colspec colnum="3" colname="col3" align="justify" colwidth="80pt"/>
     <oasis:colspec colnum="4" colname="col4" align="justify" colwidth="40pt"/>
     <oasis:colspec colnum="5" colname="col5" align="justify" colwidth="120pt"/>
     <oasis:thead>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Site</oasis:entry>
         <oasis:entry colname="col2">Country</oasis:entry>
         <oasis:entry colname="col3">Latitude, longitude</oasis:entry>
         <oasis:entry colname="col4">Elevation (m a.s.l.)</oasis:entry>
         <oasis:entry colname="col5">References</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>
         <oasis:entry colname="col1">Lake Oltina <?xmltex \hack{\hfill\break}?>Lake Vracov <?xmltex \hack{\hfill\break}?>Sarló-hát <?xmltex \hack{\hfill\break}?>Lake Stiucii <?xmltex \hack{\hfill\break}?>Durankulak 2 <?xmltex \hack{\hfill\break}?>Durankulak 3 <?xmltex \hack{\hfill\break}?>Dovjok <?xmltex \hack{\hfill\break}?>Kardashinski <?xmltex \hack{\hfill\break}?>Sudzha <?xmltex \hack{\hfill\break}?>Selikhovo <?xmltex \hack{\hfill\break}?>Istochek <?xmltex \hack{\hfill\break}?>Podkosmovo</oasis:entry>
         <oasis:entry colname="col2">RO <?xmltex \hack{\hfill\break}?>CZ <?xmltex \hack{\hfill\break}?>HU <?xmltex \hack{\hfill\break}?>RO <?xmltex \hack{\hfill\break}?>BG <?xmltex \hack{\hfill\break}?>BG <?xmltex \hack{\hfill\break}?>UA <?xmltex \hack{\hfill\break}?>UA <?xmltex \hack{\hfill\break}?>RU <?xmltex \hack{\hfill\break}?>RU <?xmltex \hack{\hfill\break}?>RU <?xmltex \hack{\hfill\break}?>RU</oasis:entry>
         <oasis:entry colname="col3">44<inline-formula><mml:math id="M172" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>09<inline-formula><mml:math id="M173" display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula> N, 27<inline-formula><mml:math id="M174" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>38<inline-formula><mml:math id="M175" display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula> E <?xmltex \hack{\hfill\break}?>48<inline-formula><mml:math id="M176" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>58<inline-formula><mml:math id="M177" display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula> N, 17<inline-formula><mml:math id="M178" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>11<inline-formula><mml:math id="M179" display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula> E <?xmltex \hack{\hfill\break}?>47<inline-formula><mml:math id="M180" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>54<inline-formula><mml:math id="M181" display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula> N, 21<inline-formula><mml:math id="M182" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>18<inline-formula><mml:math id="M183" display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula> E <?xmltex \hack{\hfill\break}?>46<inline-formula><mml:math id="M184" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>58<inline-formula><mml:math id="M185" display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula> N, 23<inline-formula><mml:math id="M186" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>58<inline-formula><mml:math id="M187" display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula> E <?xmltex \hack{\hfill\break}?>43<inline-formula><mml:math id="M188" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>39<inline-formula><mml:math id="M189" display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula> N, 28<inline-formula><mml:math id="M190" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>31<inline-formula><mml:math id="M191" display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula> E <?xmltex \hack{\hfill\break}?>43<inline-formula><mml:math id="M192" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>39<inline-formula><mml:math id="M193" display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula> N, 28<inline-formula><mml:math id="M194" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>31<inline-formula><mml:math id="M195" display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula> E <?xmltex \hack{\hfill\break}?>48<inline-formula><mml:math id="M196" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>45<inline-formula><mml:math id="M197" display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula> N, 28<inline-formula><mml:math id="M198" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>15<inline-formula><mml:math id="M199" display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula> E <?xmltex \hack{\hfill\break}?>46<inline-formula><mml:math id="M200" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>31<inline-formula><mml:math id="M201" display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula> N, 32<inline-formula><mml:math id="M202" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>37<inline-formula><mml:math id="M203" display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula> E <?xmltex \hack{\hfill\break}?>51<inline-formula><mml:math id="M204" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>8<inline-formula><mml:math id="M205" display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula> N, 35<inline-formula><mml:math id="M206" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>17<inline-formula><mml:math id="M207" display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula> E <?xmltex \hack{\hfill\break}?>53<inline-formula><mml:math id="M208" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>13<inline-formula><mml:math id="M209" display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula> N, 35<inline-formula><mml:math id="M210" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>46<inline-formula><mml:math id="M211" display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula> E <?xmltex \hack{\hfill\break}?>54<inline-formula><mml:math id="M212" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>41<inline-formula><mml:math id="M213" display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula> N 37<inline-formula><mml:math id="M214" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>30<inline-formula><mml:math id="M215" display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula> E <?xmltex \hack{\hfill\break}?>53<inline-formula><mml:math id="M216" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>40<inline-formula><mml:math id="M217" display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula> N, 38<inline-formula><mml:math id="M218" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>35<inline-formula><mml:math id="M219" display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula> E</oasis:entry>
         <oasis:entry colname="col4">7 <?xmltex \hack{\hfill\break}?>100 <?xmltex \hack{\hfill\break}?>86 <?xmltex \hack{\hfill\break}?>239 <?xmltex \hack{\hfill\break}?> <inline-formula><mml:math id="M220" display="inline"><mml:mo>&lt;</mml:mo></mml:math></inline-formula> 10 <?xmltex \hack{\hfill\break}?> <inline-formula><mml:math id="M221" display="inline"><mml:mo>&lt;</mml:mo></mml:math></inline-formula> 10 <?xmltex \hack{\hfill\break}?> <inline-formula><mml:math id="M222" display="inline"><mml:mo>&lt;</mml:mo></mml:math></inline-formula> 100 <?xmltex \hack{\hfill\break}?> <inline-formula><mml:math id="M223" display="inline"><mml:mo>&lt;</mml:mo></mml:math></inline-formula> 100 <?xmltex \hack{\hfill\break}?>134 <?xmltex \hack{\hfill\break}?>200 <?xmltex \hack{\hfill\break}?>200 <?xmltex \hack{\hfill\break}?>200</oasis:entry>
         <oasis:entry colname="col5">This study <?xmltex \hack{\hfill\break}?>Kunes et al. (2015) <?xmltex \hack{\hfill\break}?>Magyari et al. (2010) <?xmltex \hack{\hfill\break}?>Feurdean et al. (2015) <?xmltex \hack{\hfill\break}?>Bozilova and Tonkov (1985) <?xmltex \hack{\hfill\break}?>Marinova and Atanassova (2006) <?xmltex \hack{\hfill\break}?>Kremenetski (1995) <?xmltex \hack{\hfill\break}?>Kremenetski (1995) <?xmltex \hack{\hfill\break}?>Shumilovskikh et al. (2018) <?xmltex \hack{\hfill\break}?>Novenko et al. (2016) <?xmltex \hack{\hfill\break}?>Shumilovskikh et al. (2018) <?xmltex \hack{\hfill\break}?>Novenko et al. (2014)</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

</sec>
<sec id="Ch1.S5.SS3">
  <label>5.3</label><title>Comparison with other European forest steppe regions</title>
      <p id="d1e3974">Our quantitative record of vegetation cover indicates a higher-than-present
tree cover across the landscape of the eastern lower Danube Plain between
6000 and 4200 cal yr BP with an absolute maximum of 50 % (60 % raw
pollen percentages) between 4200 and 2500 cal yr BP (Fig. 6). The
composition and structure of Mid to Late Holocene vegetation of the eastern
lower Danube Plain resembled, to a large degree, that of other European
forest steppe areas, although particularities also exist. Whilst in central-eastern European forest steppe <italic>Quercus</italic> and <italic>Carpinus betulus</italic> were the dominant tree species, with a
lower occurrence of <italic>Tilia, Ulmus, Corylus</italic> and <italic>Pinus</italic> (Magyari et al., 2010; Feurdean et al., 2015;
Kuneš et al., 2015), on the Eastern European Plain <italic>Tilia</italic> and <italic>Quercus</italic> and, in some
places, <italic>Pinus</italic> were the dominant tree taxa (Kremenetski et al., 1995; Novenko et al., 2016, 2018; Shumilovskikh et al., 2018, 2019). Forests in the Black Sea
region also included thermophilus taxa, i.e. <italic>Quercus cerris</italic> and <italic>C. orientalis</italic> (this study; Marinova and Atanassova, 2006; Tonkov et al., 2014). Remarkably, <italic>Carpinus orientalis</italic> was found to be significantly
more abundant around the Black Sea coast, i.e. Romania (20 %) and Bulgaria
(<inline-formula><mml:math id="M224" display="inline"><mml:mo lspace="0mm">&gt;</mml:mo></mml:math></inline-formula> 5 %) with only scattered occurrences in Ukraine, whilst
it was absent from central European forest steppe. Our pollen–vegetation
calibration model shows that the adjusted abundance of <italic>C. orientalis</italic> is twice that
recorded by its raw pollen percentages (Fig. 4).</p>
      <?pagebreak page1094?><p id="d1e4019">Mid Holocene landscape openness near Lake Oltina (ca. 45 % raw pollen
percentages) appears to fall in between that of the steppe in southeastern
Bulgaria (60 %–80 %; Tonkov et al., 2014), the forest steppe of Ukraine
(25 %; Kremenetski et al., 1995, 1999) and that of the Eastern European
Plain (20 %–50 %; Shumilovskikh et al., 2018). However, landscape openness
was greater than in other forest steppe sites from central-eastern Europe,
i.e. Romania (Feurdean et al., 2015; Tantau et al., 2006), Hungary (Willis
et al., 1997; Magyari et al., 2010), the Czech Republic and Slovakia
(Pokorny et al., 2015; Hajkova et al., 2013; Kuneš et al., 2015),
where it varied between 10 % and 35 % (Fig. 6). The composition of
herbaceous plant cover included grasses (Poaceae) and a diversity of forbs
thriving on a wide variety of habitats ranging from dry and saline soils
(<italic>Artemisia,</italic> Chenopodiaceae, Asteraceae Compositae and Asteraceae Tubuliflorae) to dry and
wet meadows (<italic>Filipendula, Galium, Anthemis,</italic> <italic>Aster</italic>, Caryophyllaceae, <italic>Euphorbia, Helianthemum, Hypericum</italic>, Fabaceae, <italic>Plantago lanceolata, P. major/P. media, Teucrium, Thalictrum</italic> and <italic>Verbascum</italic>; Figs. 4; A2). Notably,
however, the proportion of steppe and saline elements (<italic>Artemisia</italic> and Chenopodiaceae) was
greater at sites located in the Black Sea region, in agreement with greater
temperature seasonality, lower precipitation and the occurrence of
saline soils in this region.</p>
      <p id="d1e4044">The comparison of pollen records from the European forest steppe shows a
west-to-east gradient in the timing and magnitude of deforestation (Fig. 6).
For example, the timing of major anthropogenic ecosystem transformation in
the lower Danube Plain from about 2500 cal yr BP falls in between that of
other records in lowland areas in central-eastern and southeastern Europe,
where it generally occurred after 3000 cal yr BP (Fig. 6). However, this is
earlier than on the Eastern European Plain, where it mostly occurred
after 2000 cal yr BP. On the Thracian Plain, southeastern Bulgaria,
anthropogenic deforestation was, however, noted already from 4000 cal yr BP
(Connor et al., 2013). The anthropogenically driven opening up of the forest
steppe soon reached a similar extent as today in most regions, which then
remained open until the present day, although climate conditions could have
allowed for the recovery of tree cover. Notably, however, the study region is
increasingly confronted by desertification (European Environmental Agency,
2016). Given its dry character, the conversion of forests to cropland may
have acted as a positive feedback to the warm and dry climate, enhancing
evaporation and altering the moisture balance, further contributing to the
tendency towards the aridization of Lower Danube landscapes. Ongoing climate
change (warmer temperatures and a decline in precipitation), coupled with
agricultural intensification, will probably exacerbate the process of
desertification.</p>
</sec>
</sec>
<sec id="Ch1.S6" sec-type="conclusions">
  <label>6</label><title>Conclusions</title>
      <p id="d1e4056">The pollen-based vegetation modelling applied here (REVEALS) provides the
first, long-term quantitative reconstruction of land cover changes across
the lower Danube Plain (southeastern Romania) and in southeastern Europe. Enhanced moisture
availability likely led to a more extensive tree cover between 6000 and 2500 cal yr BP and its maximum of 50 % between 4200 and 2500 cal yr BP. This
woodland consisted of tree taxa of xerothermic  character including <italic>Quercus</italic> (likely
<italic>Q. cerris</italic> and <italic>Q. pubescens</italic>) and <italic>Carpinus orientalis,</italic> and temperate trees such as <italic>Carpinus betulus</italic>, <italic>Acer,</italic> <italic>Tilia, Ulmus, Fraxinus</italic>. However, the proportion of
xerophilous tree taxa, <italic>C. orientalis,</italic> increased between 4200 and 2500 cal yr BP. The
forests of the lower Danube Plain were intensively cleared and converted to
agricultural land and pasture and semi-natural grasslands from the Iron Age
(2500 cal yr BP). The landscapes became deforested to present-day levels
(ca. 20 % tree cover) 2200 years ago. Tree cover remained low throughout
the last 2 millennia, demonstrating the continuous anthropogenic pressure
on the region. The permanent loss of the tree cover is visible across a
west–east gradient of the central-eastern European forest steppe region,
highlighting its sensitivity to anthropogenic impact. Given the dry
character of the study region, deforestation and land conversion to
agriculture may have additionally enhanced evaporation, altering the
moisture balance and further contributing to the tendency towards
aridization. This palaeoecological study also demonstrates that, at a broad
spatial scale, the natural vegetation of the eastern Romanian Plain under
climatic conditions similar to today is forest steppe and woodlands, which is in
agreement with expert-based assessments of potential tree cover. However,
tree cover extent and composition have been neither stable in time nor
solely shaped by the climate with disturbances by fire and grazing and
later through anthropogenic impact, playing an important role. In comparison
to pollen-based vegetation reconstruction, the PNV assumes a lower proportion of
<italic>C. orientalis</italic> and a higher proportion of <italic>Quercus.</italic></p>
      <p id="d1e4089">We also show that both the extension and decline in tree cover determined by
pollen, a well-established proxy for past vegetation change, is also
reflected in the <inline-formula><mml:math id="M225" display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>-alkane record, which indicates their potential as a
reliable record of tree vs. grass cover changes in dry regions where
reliable pollen records are difficult to obtain.</p><?xmltex \hack{\clearpage}?>
</sec>

      
      </body>
    <back><app-group>

<?pagebreak page1095?><app id="App1.Ch1.S1">
  <?xmltex \currentcnt{A}?><label>Appendix A</label><title/>
<sec id="App1.Ch1.S1.SS1">
  <label>A1</label><title>Lake Oltina chronology</title>
      <p id="d1e4117">A chronology for Lake Oltina was established on the basis of 17 AMS <inline-formula><mml:math id="M226" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">14</mml:mn></mml:msup></mml:math></inline-formula>C
measurements (Table 1). Attempts to constrain the chronology of the top
core via <inline-formula><mml:math id="M227" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">210</mml:mn></mml:msup></mml:math></inline-formula>Pb and <inline-formula><mml:math id="M228" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">137</mml:mn></mml:msup></mml:math></inline-formula>Cs gamma assay measurements failed to
produce any meaningful results probably due to sediment mixing. An attempt
via the geochemical identification of tephra also failed due to a poor match
to any known volcanic eruption. The radiocarbon age estimates were converted
into calendar years BP via the Bacon software (Blaauw and Christen, 2011) using
the IntCal13 data set of Reimer et al. (2013). An age–depth curve was
derived based on a smoothing spline model. Calendar age point estimates for
depths were based on weighted average age–depth curves and also by taking
into account the error range of the calibrated ages. Due to the lack of
plant macrofossils, we used mostly shells and bulk material for the
radiocarbon measurements. Consequently, age determination was problematic
due to the low organic carbon levels and possible hard-water effects (Table A1).</p>
      <p id="d1e4147">We have attempted to correct for the reservoir effect in the following ways.
Firstly, we compared our youngest radiocarbon date on the shell sample from
30 cm in depth (880 uncal yr BP) with the potential sediment age of recent
samples based on geochemistry, mineral magnetic measurements and a specific
pollen marker; 30 cm geochemical elements (particularly Pb) potentially
associated with regional industrialization (after 1850) show concentrations
above the background levels that would naturally be found, suggesting an
additional anthropogenic input (Fig. A1). Further, mineral magnetic
properties (X) also show an increase from 30 cm that might reflect an
anthropogenic influence on the sediment (Fig. A1). Rose et al. (2009),
Akinyemi et al. (2013) and Hutchinson et al. (2016) note  atmospherically derived inputs of trace elements and
heavy metals and mineral magnetic particles in the Romanian
Carpathian Mountains from the start of the
20th century with peaks from the 1950s. Similarly, Begy et al. (2012)
attribute peaks in heavy metals in a lake in the Danube delta to industrial
and traffic pollution from the 1950s. We noted the occurrence of pollen of
<italic>Ambrosia</italic>, an invasive species that arrived and spread after 1850, which also increased at
this depth (Fig. A1). Taken together, results from the geochemistry, mineral
magnetic measurements and pollen agree in suggesting that the age of the
sediment at 30 cm must be after 1850 CE. Based on the difference of the two
age estimates (880 years on the shell) and <inline-formula><mml:math id="M229" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 50–100 years (via
the geochemistry, mineral magnetic measurement and pollen), the age offset
at 30 cm is about 700 years.</p>
      <p id="d1e4160">Secondly, for older sediments, we compared the radiocarbon date of the
terrestrial macrofossil sample at a depth of 548 cm (3459 <inline-formula><mml:math id="M230" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 3) with the
shells from the same layer (4457 <inline-formula><mml:math id="M231" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 35). Here the age difference between
the two measurements is 1000 years, which is close to the 700 years age
offset observed at 30 cm. Consequently, we have estimated the hard-water
effect at about <inline-formula><mml:math id="M232" display="inline"><mml:mrow><mml:mn mathvariant="normal">800</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">200</mml:mn></mml:mrow></mml:math></inline-formula> years. In the Bacon model an age offset of 1000 years was specified for all radiocarbon dating on shells (Fig. 2).
Furthermore, all measurements performed on bulk samples were rejected from
the age–depth model. This is because the reservoir effect on bulk sediment
is much larger than for shell, with a much larger possible error. In
addition, in at least two age measurements on bulk samples (at 150 and 230 cm), the H fraction was very different from the L fraction, which indicates that
the bulk organic matter is a composite organic
material of a very different age. The results of our final model provide an age–depth curve with
fewer age–depth reversals than seen when including the bulk samples.</p>

<?xmltex \floatpos{t}?><table-wrap id="App1.Ch1.S1.T4"><?xmltex \currentcnt{A1}?><?xmltex \def\figurename{Table}?><label>Table A1</label><caption><p id="d1e4193">AMS <inline-formula><mml:math id="M233" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">14</mml:mn></mml:msup></mml:math></inline-formula>C measurements at Lake Oltina showing different age of
the H and L fractions of bulk samples for two of the four samples performed
using bulk material. HEKAL: HEKAL AMS Lab, Isotoptech Zrt.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="4">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="left"/>
     <oasis:colspec colnum="3" colname="col3" align="left"/>
     <oasis:colspec colnum="4" colname="col4" align="right"/>
     <oasis:thead>
       <oasis:row>
         <oasis:entry colname="col1">AMS <inline-formula><mml:math id="M234" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">14</mml:mn></mml:msup></mml:math></inline-formula>C</oasis:entry>
         <oasis:entry colname="col2">HEKAL</oasis:entry>
         <oasis:entry colname="col3">Depth and</oasis:entry>
         <oasis:entry colname="col4">Conventional</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">lab code</oasis:entry>
         <oasis:entry colname="col2">sample nr.</oasis:entry>
         <oasis:entry colname="col3">material dated</oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M235" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">14</mml:mn></mml:msup></mml:math></inline-formula>C age</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3"/>
         <oasis:entry colname="col4">(yr BP <inline-formula><mml:math id="M236" display="inline"><mml:mrow><mml:mo>±</mml:mo><mml:mn mathvariant="normal">1</mml:mn><mml:mi mathvariant="italic">σ</mml:mi></mml:mrow></mml:math></inline-formula>)</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>
         <oasis:entry colname="col1">DeA-10928</oasis:entry>
         <oasis:entry colname="col2">I/1451/1</oasis:entry>
         <oasis:entry colname="col3">20 cm (shell)</oasis:entry>
         <oasis:entry colname="col4">880 <inline-formula><mml:math id="M237" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 19</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">DeA-11083</oasis:entry>
         <oasis:entry colname="col2">I/1451/2L</oasis:entry>
         <oasis:entry colname="col3">95 cm bulk</oasis:entry>
         <oasis:entry colname="col4">2053 <inline-formula><mml:math id="M238" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 28</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">DeA-11084</oasis:entry>
         <oasis:entry colname="col2">I/1451/2H</oasis:entry>
         <oasis:entry colname="col3">95 cm (bulk)</oasis:entry>
         <oasis:entry colname="col4">2818 <inline-formula><mml:math id="M239" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 42</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">DeA-11085</oasis:entry>
         <oasis:entry colname="col2">I/1451/3L</oasis:entry>
         <oasis:entry colname="col3">150 cm (bulk)</oasis:entry>
         <oasis:entry colname="col4">1832 <inline-formula><mml:math id="M240" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 27</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">DeA-11086</oasis:entry>
         <oasis:entry colname="col2">I/1451/3H</oasis:entry>
         <oasis:entry colname="col3">150 cm (bulk)</oasis:entry>
         <oasis:entry colname="col4">2374 <inline-formula><mml:math id="M241" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 27</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">DeA-11087</oasis:entry>
         <oasis:entry colname="col2">I/1451/4L</oasis:entry>
         <oasis:entry colname="col3">230 cm (bulk)</oasis:entry>
         <oasis:entry colname="col4">1928 <inline-formula><mml:math id="M242" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 37</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">DeA-11088</oasis:entry>
         <oasis:entry colname="col2">I/1451/4H</oasis:entry>
         <oasis:entry colname="col3">230 cm (bulk)</oasis:entry>
         <oasis:entry colname="col4">2013 <inline-formula><mml:math id="M243" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 24</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

<?xmltex \hack{\clearpage}?><?xmltex \floatpos{t}?><fig id="App1.Ch1.S1.F7"><?xmltex \currentcnt{A1}?><?xmltex \def\figurename{Figure}?><label>Figure A1</label><caption><p id="d1e4454">Selected geochemical elements (Pb and Zn), mineral magnetic
measurements (magnetic susceptibility) and pollen (<italic>Ambrosia</italic>), displaying their
simultaneous increase after 30 cm (vertical dashed line) reflecting the post-1850 CE trend of regional industrialization and the known spread of an
invasive weed.</p></caption>
          <?xmltex \igopts{width=162.180709pt}?><graphic xlink:href="https://bg.copernicus.org/articles/18/1081/2021/bg-18-1081-2021-f07.png"/>

        </fig>

<?xmltex \hack{\clearpage}?><?xmltex \floatpos{t}?><fig id="App1.Ch1.S1.F8" specific-use="star"><?xmltex \currentcnt{A2}?><?xmltex \def\figurename{Figure}?><label>Figure A2</label><caption><p id="d1e4469">Full-pollen diagram for Lake Oltina grouped on trees, shrubs
herbs, wetland and aquatic taxa as well as coprophilous fungi.</p></caption>
          <?xmltex \igopts{width=497.923228pt}?><graphic xlink:href="https://bg.copernicus.org/articles/18/1081/2021/bg-18-1081-2021-f08.png"/>

        </fig>

<?xmltex \hack{\clearpage}?>
</sec>
</app>
  </app-group><notes notes-type="dataavailability"><title>Data availability</title>

      <p id="d1e4485">All essential input data can be requested from the corresponding author.</p>
  </notes><app-group>
        <supplementary-material position="anchor"><p id="d1e4488">The supplement related to this article is available online at: <inline-supplementary-material xlink:href="https://doi.org/10.5194/bg-18-1081-2021-supplement" xlink:title="pdf">https://doi.org/10.5194/bg-18-1081-2021-supplement</inline-supplementary-material>.</p></supplementary-material>
        </app-group><notes notes-type="authorcontribution"><title>Author contributions</title>

      <p id="d1e4497">AF designed the study. AF, AD, AP and MB performed the
fieldwork. RG, IT and AF performed the pollen analysis. GF and EMN analysed the biomarkers. GF and SMH performed
the geochemistry analysis. AD performed the macro-charcoal analysis. ST, AP and AF performed the <inline-formula><mml:math id="M244" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">C</mml:mi><mml:mn mathvariant="normal">1</mml:mn></mml:msub><mml:mn mathvariant="normal">4</mml:mn></mml:mrow></mml:math></inline-formula> measurements and age–depth model results. RG, AN and AF performed the REVEALS modelling. AF prepared the paper with
contributions and input from all authors.</p>
  </notes><notes notes-type="competinginterests"><title>Competing interests</title>

      <p id="d1e4516">The authors declare that they have no conflict of interest.</p>
  </notes><ack><title>Acknowledgements</title><p id="d1e4522">We thank the managers at Lake Oltina and Natura 2000 for
granting and facilitating access to the lake for sediment sampling. Gabriela Florescu and Eva Niedermeyer thank Ulrich Treffert for laboratory support regarding
biomarker analysis. Roxana Grindean thanks Sorina Farcas for granting laboratory
access for pollen preparation. We thank Rebecca Kearney for her work on
tephrostratigraphy, Mihaly Molnar for the suggestions on the construction of the
age model and David, a student assistant, for assistance in the field. Finally, we thank the two
reviewers, Simon Connor and Natalie Schroeter, for their constructive comments on the paper.</p></ack><notes notes-type="financialsupport"><title>Financial support</title>

      <p id="d1e4527">This research has been supported by the Deutsche Forschungsgemeinschaft (grant nos. FE_1096/4 and FE_1096/6) and the CNCS-UEFISCDI (grant nos. PN-II-RU-TE-2014-4-2445 and PN-III-P4-ID-PCE-2016-0711).<?xmltex \hack{\newline}?><?xmltex \hack{\newline}?>This open-access publication was funded <?xmltex \hack{\newline}?> by the Goethe University Frankfurt.</p>
  </notes><notes notes-type="reviewstatement"><title>Review statement</title>

      <p id="d1e4539">This paper was edited by Sönke Zaehle and reviewed by Simon Connor and Natalie Schroeter.</p>
  </notes><ref-list>
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<abstract-html><p>Forest steppes are dynamic ecosystems, highly susceptible to changes in
climate, disturbances and land use. Here we examine the Holocene history of
the European forest steppe ecotone in the lower Danube Plain to better
understand its sensitivity to climate fluctuations, fire and human impact,
and the timing of its transition into a cultural forest steppe. We used
multi-proxy analyses (pollen, <i>n</i>-alkanes, coprophilous fungi, charcoal and
geochemistry) of a 6000-year sequence from Lake Oltina (southeastern Romania) combined
with a REVEALS (Regional Estimates of Vegetation Abundance from Large Sites) model of quantitative vegetation cover. We found a greater tree cover, composed of xerothermic (<i>Carpinus orientalis</i> and <i>Quercus</i>) and temperate (<i>Carpinus betulus</i>, <i>Tilia, Ulmus</i> and <i> Fraxinus</i>)  tree taxa,
between 6000 and 2500&thinsp;cal&thinsp;yr&thinsp;BP. Maximum tree cover ( ∼ &thinsp;50&thinsp;%), dominated by <i>C. orientalis</i> occurred between 4200 and 2500&thinsp;cal&thinsp;yr&thinsp;BP at a time of
wetter climatic conditions and moderate fire activity. Compared to other
European forest steppe areas, the dominance of <i>C. orientalis</i> represents the most distinct
feature of the woodland's composition at this time. Tree loss was underway
by 2500&thinsp;yr&thinsp;BP (Iron Age), with the REVEALS model indicating a fall to
 ∼ &thinsp;20&thinsp;% tree cover from the Late Holocene forest maximum,
linked to clearance for agriculture, while climate conditions remained wet.
Biomass burning increased markedly at 2500&thinsp;cal&thinsp;yr&thinsp;BP, suggesting that fire
was regularly used as a management tool until 1000&thinsp;cal&thinsp;yr&thinsp;BP when woody
vegetation became scarce. A sparse tree cover, with only weak signs of
forest recovery, then became a permanent characteristic of the lower Danube
Plain, highlighting more or less continuous anthropogenic pressure. The
timing of anthropogenic ecosystem transformation here (2500&thinsp;cal&thinsp;yr&thinsp;BP) falls between that in central-eastern (between 3700 and 3000&thinsp;cal&thinsp;yr&thinsp;BP) and
eastern (after 2000&thinsp;cal&thinsp;yr&thinsp;BP) Europe. Our study is the first quantitative
land cover estimate at the forest steppe ecotone in southeastern Europe
spanning 6000 years. It provides critical empirical evidence that, at a
broad spatial scale, the present-day forest steppe and woodlands reflect the
potential natural vegetation in this region under current climate
conditions. However, the extent of tree cover and its composition have
been neither stable in time nor shaped solely by the climate. Consequently,
vegetation change must be seen as dynamic and reflecting wider changes in
environmental conditions including natural disturbances and human impact.</p></abstract-html>
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