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<article xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:oasis="http://docs.oasis-open.org/ns/oasis-exchange/table" xml:lang="en" dtd-version="3.0"><?xmltex \makeatother\@nolinetrue\makeatletter?>
  <front>
    <journal-meta><journal-id journal-id-type="publisher">CP</journal-id><journal-title-group>
    <journal-title>Climate of the Past</journal-title>
    <abbrev-journal-title abbrev-type="publisher">CP</abbrev-journal-title><abbrev-journal-title abbrev-type="nlm-ta">Clim. Past</abbrev-journal-title>
  </journal-title-group><issn pub-type="epub">1814-9332</issn><publisher>
    <publisher-name>Copernicus Publications</publisher-name>
    <publisher-loc>Göttingen, Germany</publisher-loc>
  </publisher></journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.5194/cp-15-1083-2019</article-id><title-group><article-title>Effects of atmospheric <inline-formula><mml:math id="M1" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">CO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> variability of the past 800 kyr on the biomes of southeast Africa</article-title><alt-title>Effects of atmospheric CO<inline-formula><mml:math id="M2" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> variability</alt-title>
      </title-group><?xmltex \runningtitle{Effects of atmospheric CO${}_{2}$ variability}?><?xmltex \runningauthor{L. M. Dupont et al.}?>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes" rid="aff1">
          <name><surname>Dupont</surname><given-names>Lydie M.</given-names></name>
          <email>ldupont@marum.de</email>
        <ext-link>https://orcid.org/0000-0001-9531-6793</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2">
          <name><surname>Caley</surname><given-names>Thibaut</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff3">
          <name><surname>Castañeda</surname><given-names>Isla S.</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-2524-9326</ext-link></contrib>
        <aff id="aff1"><label>1</label><institution>MARUM – Center for Marine Environmental Sciences, University of
Bremen, Bremen, Germany</institution>
        </aff>
        <aff id="aff2"><label>2</label><institution>EPOC, UMR 5805, CNRS, University of Bordeaux, Pessac,
France</institution>
        </aff>
        <aff id="aff3"><label>3</label><institution>University of Massachusetts Amherst, Department of Geosciences,
Amherst, MA, USA</institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">Lydie M. Dupont (ldupont@marum.de)</corresp></author-notes><pub-date><day>19</day><month>June</month><year>2019</year></pub-date>
      
      <volume>15</volume>
      <issue>3</issue>
      <fpage>1083</fpage><lpage>1097</lpage>
      <history>
        <date date-type="received"><day>6</day><month>February</month><year>2019</year></date>
           <date date-type="rev-request"><day>20</day><month>February</month><year>2019</year></date>
           <date date-type="rev-recd"><day>10</day><month>May</month><year>2019</year></date>
           <date date-type="accepted"><day>23</day><month>May</month><year>2019</year></date>
      </history>
      <permissions>
        <copyright-statement>Copyright: © 2019 </copyright-statement>
        <copyright-year>2019</copyright-year>
      <license license-type="open-access"><license-p>This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link></license-p></license></permissions><self-uri xlink:href="https://cp.copernicus.org/articles/.html">This article is available from https://cp.copernicus.org/articles/.html</self-uri><self-uri xlink:href="https://cp.copernicus.org/articles/.pdf">The full text article is available as a PDF file from https://cp.copernicus.org/articles/.pdf</self-uri>
      <abstract><title>Abstract</title>
    <p id="d1e131">Very little is known about the impact of atmospheric
carbon dioxide pressure (<inline-formula><mml:math id="M3" display="inline"><mml:mrow class="chem"><mml:mi>p</mml:mi><mml:msub><mml:mi mathvariant="normal">CO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>) on the shaping of biomes. The development
of <inline-formula><mml:math id="M4" display="inline"><mml:mrow class="chem"><mml:mi>p</mml:mi><mml:msub><mml:mi mathvariant="normal">CO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> throughout the Brunhes Chron may be considered a natural
experiment to elucidate relationships between vegetation and <inline-formula><mml:math id="M5" display="inline"><mml:mrow class="chem"><mml:mi>p</mml:mi><mml:msub><mml:mi mathvariant="normal">CO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>. While
the glacial periods show low to very low values (<inline-formula><mml:math id="M6" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">220</mml:mn></mml:mrow></mml:math></inline-formula> to
<inline-formula><mml:math id="M7" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">190</mml:mn></mml:mrow></mml:math></inline-formula> ppmv, respectively), the <inline-formula><mml:math id="M8" display="inline"><mml:mrow class="chem"><mml:mi>p</mml:mi><mml:msub><mml:mi mathvariant="normal">CO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> levels of the
interglacial periods vary from intermediate to relatively high
(<inline-formula><mml:math id="M9" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">250</mml:mn></mml:mrow></mml:math></inline-formula> to more than 270 ppmv, respectively). To study the influence
of <inline-formula><mml:math id="M10" display="inline"><mml:mrow class="chem"><mml:mi>p</mml:mi><mml:msub><mml:mi mathvariant="normal">CO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> on the Pleistocene development of SE African vegetation, we used
the pollen record of a marine core (MD96-2048) retrieved from Delagoa Bight
south of the Limpopo River mouth in combination with stable isotopes and
geochemical proxies. Applying endmember analysis, four pollen assemblages
could be distinguished representing different biomes: heathland, mountain
forest, shrubland and woodland. We find that the vegetation of the Limpopo
River catchment and the coastal region of southern Mozambique is
influenced not only by hydroclimate but also by temperature and atmospheric
<inline-formula><mml:math id="M11" display="inline"><mml:mrow class="chem"><mml:mi>p</mml:mi><mml:msub><mml:mi mathvariant="normal">CO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>. Our results suggest that the extension of mountain forest occurred
during those parts of the glacials when <inline-formula><mml:math id="M12" display="inline"><mml:mrow class="chem"><mml:mi>p</mml:mi><mml:msub><mml:mi mathvariant="normal">CO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> and temperatures were
moderate and that only during the colder periods when atmospheric
<inline-formula><mml:math id="M13" display="inline"><mml:mrow class="chem"><mml:mi>p</mml:mi><mml:msub><mml:mi mathvariant="normal">CO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> was low (less than 220 ppmv) open ericaceous vegetation including
C<inline-formula><mml:math id="M14" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> sedges extended. The main development of woodlands in the area took place
after the Mid-Brunhes Event (<inline-formula><mml:math id="M15" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">430</mml:mn></mml:mrow></mml:math></inline-formula> ka) when interglacial
<inline-formula><mml:math id="M16" display="inline"><mml:mrow class="chem"><mml:mi>p</mml:mi><mml:msub><mml:mi mathvariant="normal">CO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> levels regularly rose over 270 ppmv.</p>
  </abstract>
    </article-meta>
  </front>
<body>
      

      <?xmltex \hack{\newpage}?>
<sec id="Ch1.S1" sec-type="intro">
  <label>1</label><title>Introduction</title>
      <p id="d1e313">Understanding the role of atmospheric carbon dioxide pressure (<inline-formula><mml:math id="M17" display="inline"><mml:mrow class="chem"><mml:mi>p</mml:mi><mml:msub><mml:mi mathvariant="normal">CO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>) is
paramount for the interpretation of the of the palaeovegetation record. The
effects of low <inline-formula><mml:math id="M18" display="inline"><mml:mrow class="chem"><mml:mi>p</mml:mi><mml:msub><mml:mi mathvariant="normal">CO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> on glacial vegetation have been discussed in a
number of studies (Ehleringer et al., 1997; Jolly and Haxeltine, 1997;
Cowling and Sykes, 1999; Prentice and Harrison, 2009; Prentice et al., 2017)
predicting that glacial increases in C<inline-formula><mml:math id="M19" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> vegetation favoured by low
atmospheric <inline-formula><mml:math id="M20" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">CO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> would have opened the landscape and lowered the tree
line. Comparing records of this glacial C<inline-formula><mml:math id="M21" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula>-rich vegetation with modern
analogues could have led to estimating more severe aridity than actually
occurred during the Last Glacial Maximum. These studies, however,
mostly cover the last glacial–interglacial transition and do not examine
periods with intermediate <inline-formula><mml:math id="M22" display="inline"><mml:mrow class="chem"><mml:mi>p</mml:mi><mml:msub><mml:mi mathvariant="normal">CO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> such as during the early glacial (MIS
5a–d) or interglacials prior to 430 000 years ago (430 ka). Comparing
the vegetation record of subsequent climate cycles showing different
<inline-formula><mml:math id="M23" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">CO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> levels might help to better understand the effects of <inline-formula><mml:math id="M24" display="inline"><mml:mrow class="chem"><mml:mi>p</mml:mi><mml:msub><mml:mi mathvariant="normal">CO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> on
the vegetation.</p>
      <p id="d1e409">During the Brunhes Chron (past 780 kyr), the length of the glacial cycles
became much longer, lasting roughly 100 kyr due to a strong non-linear
response of the ice sheets to solar forcing (Mudelsee and Stattegger, 1997).
Model experiments of Ganopolski and Calov (2011) indicate that low
atmospheric <inline-formula><mml:math id="M25" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">CO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> concentrations are a prerequisite for the long duration
of the glacial cycles of the past 800 kyr. Then, roughly midway through the
Brunhes Chron, the amplitude of the climate cycles shifted with a change in
the maximum <inline-formula><mml:math id="M26" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">CO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> concentration during interglacials.</p>
      <?pagebreak page1084?><p id="d1e434"><?xmltex \hack{\newpage}?>This so-called Mid-Brunhes Event (MBE) (Jansen et al., 1986) – also called
Mid-Brunhes Transition – occurred about 430 kyr ago and marks the transition
between interglacials characterized by rather low atmospheric <inline-formula><mml:math id="M27" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">CO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>
around 240 ppm (parts of Marine Isotope Stages (MIS) 19, 17, 15, 13) to
interglacials in which <inline-formula><mml:math id="M28" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">CO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> levels reached 270 ppmv or more (parts of
MIS 11, 9, 7, 5, 1) (Lüthi et al., 2008; Bereiter et al., 2015). The
climate transition of the MBE has been extensively studied using Earth
system models of intermediate complexity. Yin and Berger (2010) stress the
importance of forcing by austral summer insolation, and Yin and Berger (2012) argue that the model vegetation (tree fraction) was forced by
precession through precipitation at low latitudes. Both papers show the
necessity to include the change in atmospheric <inline-formula><mml:math id="M29" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">CO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> in the explanation
of the MBE (Yin and Berger, 2010, 2012). Yin (2013), however, concludes
that it is not necessary to invoke a sudden event around 430 ka to explain
the increased interglacial <inline-formula><mml:math id="M30" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">CO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>; the differences between interglacials
before and after the MBE can be explained by individual responses in
Southern Ocean ventilation and deep-sea temperature to various combinations
of the astronomical parameters. On the other hand, statistical analysis
suggests a dominant role of the carbon cycle, which changed over the MBE
(Barth et al., 2018). Paillard (2017) developed a conceptual model of orbital
forcing of the carbon cycle in which sea-level fluctuations and the effects
on carbon burial are decisive during shifts in the climate system. Further
modelling by Bouttes et al. (2018) showed qualitative agreement with the
palaeodata of pre- and post-MBE interglacials but largely underestimated the
amplitude of the changes. Moreover, the simulated vegetation seems to
counteract the effects of the oceanic response (Bouttes et al., 2018). Thus,
the vegetation, in particular at low latitudes, may play a crucial but
poorly understood role in the climate system.</p>
      <p id="d1e482">Comparing records of pre- and post-MBE interglacials could offer insight in
the interglacial climate at different levels of <inline-formula><mml:math id="M31" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">CO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> (Foley et al., 1994;
Swann et al., 2010). We define interglacials after PAGES (2016) listing MIS
19c, 17c, 15a, 15e and 13a as pre-MBE and MIS 11c, 9e, 7e, 7a–c, 5e and 1 as
post-MBE. Currently, only a handful of vegetation records covering the
entire Brunhes Chron have sufficient temporal resolution to enable
comparisons between interglacials before and after the Mid-Brunhes
Transition. These records are from the eastern Mediterranean, the Colombian
Andes (PAGES, 2016), west and east Africa (Dupont et al., 1989; Miller and
Goslin, 2014; Castañeda et al., 2016a; Johnson et al., 2016; Ivory et al.,
2018; Owen et al., 2018). The Andean pollen record is strongly influenced by
the immigration of oak from North America during MIS 12 (Torres et al., 2013).
For the eastern Mediterranean, a decline in plant diversity is
observed at Tenaghi Philippon (Greece) where the modern Mediterranean oak
forests gradually emerged in the interglacials after MIS 16 but before the MBE
(Tzedakis et al., 2006, 2009). The west African record of Lake Bosumtwi in
Ghana allows identification of six forest assemblages since 540 ka related
to the interglacials of MIS 13, 11, 9, 7, 5e and 1. The forests' assemblage
of MIS 13, however, does not show a strong contrast with those of the
interglacials after the MBE (Miller and Goslin, 2014). The marine pollen
record of Ocean Drilling Program (ODP) site 658 off Cape Blanc tracks the latitudinal position of the
open grass-rich vegetation zones at the boundary between the Sahara and Sahel
suggesting shifting vegetation zones between glacials and interglacials
(Dupont and Hooghiemstra, 1989; Dupont et al., 1989). The drier interglacials
occurred after MIS 9, which indicates a transition after the MBE to more
arid conditions. Additionally, stable carbon isotope records from Chinese
loess sections indicate interglacial–glacial variability in the C<inline-formula><mml:math id="M32" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>–C<inline-formula><mml:math id="M33" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula>
proportions of the vegetation (Sun et al., 2010; Lyu et al., 2018). However,
the latter records do not show a prominent vegetation shift over the MBE.</p>
      <p id="d1e515">For East Africa, two terrestrial records and a marine one are available. From
Lake Malawi, Johnson et al. (2016) infer wetter conditions and increased
woodland vegetation between 800 and 400 ka based on the stable carbon
isotopic composition of plant wax shifting from less to more strongly
depleted values. Also from Lake Malawi, Ivory et al. (2018) published a
pollen record of the past 600 kyr revealing a number of phases of Miombo
woodland and mountain forest alternating with savannah vegetation (dry
woodland and wooded grassland). Recently, a new record from Lake Magadi
(Kenya) has been published indicating a change from wetter conditions to
more aridity after 500 ka, contrasting the Lake Malawi results (Owen et al., 2018).
In Lake Magadi, the representation of <italic>Podocarpus</italic> decreased over the MBE, while
open grassy vegetation and salinity of the lake increased (Owen et al., 2018).
Neither the Lake Malawi nor the Lake Magadi records show dominant
interglacial–glacial variability.</p>
      <p id="d1e521">The marine record retrieved south of the Limpopo River mouth (core
MD96-2048) allows inferences about vegetation and climate in the catchment
area of the Limpopo River draining large areas of South Africa, Botswana,
Zimbabwe and Mozambique. Based on sediment chemistry, Caley et al. (2018a)
reported the effects of increased summer insolation in increased fluvial
discharge and variability associated with eccentricity, which modulates
precession amplitudes. Superimposed on the orbital-scale precipitation
variability, a long-term trend from 1000 to 600 ka towards increased aridity
in southeastern Africa was found (Caley et al., 2018a). The plant leaf wax
carbon isotopic (hereafter <inline-formula><mml:math id="M34" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">13</mml:mn></mml:msup><mml:msub><mml:mi mathvariant="normal">C</mml:mi><mml:mi mathvariant="normal">wax</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>) record of the same
core was originally interpreted as reflecting a trend toward increasingly
drier glacials and wetter interglacials over the past 800 kyr (Castañeda
et al., 2016a). Additionally, the average chain lengths of the plant leaf
waxes exhibit a stepwise decrease at 430 ka suggesting a change from more
shrub vegetation before the MBE to a larger contribution of trees during the
post-MBE interglacials (Castañeda et al., 2016a). Thus, a pollen record of
MD96-2048 has the potential to register the changes in<?pagebreak page1085?> interglacial
vegetation cover over the MBE. We might expect a change of Southern
Hemisphere vegetation being less ambiguous than the changes found on the
Northern Hemisphere (see above), because modelling indicates that the
effects of the MBE were more pronounced on the Southern Hemisphere (Yin and
Berger, 2010). Until now, the palynology of only the last 350 kyr has been
published (Dupont et al., 2011a), and therefore here we extend the pollen
record of MD96-2048 to cover the past 800 kyr in sufficient resolution. As
described below, our new palynology results have led to the
reinterpretation of the MD96-2048 <inline-formula><mml:math id="M35" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">13</mml:mn></mml:msup><mml:msub><mml:mi mathvariant="normal">C</mml:mi><mml:mi mathvariant="normal">wax</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> record
(Castañeda et al., 2016a).</p>
<sec id="Ch1.S1.SS1">
  <label>1.1</label><title>Previous work on core MD96-2048</title>
      <p id="d1e563">The sediments of MD96-2048 were retrieved in the middle of the Delagoa Bight
(Fig. 1) from the southern Limpopo cone forming a depot centre that has
been build up at least since the Late Miocene (Martin, 1981). The site
collects terrestrial material including pollen and spores mostly from the
rivers that discharge into the Delagoa Bight of which the Limpopo River is
the biggest draining large areas of northern South Africa and southern
Mozambique. Apart from the offshore winds descending from the interior
plateau, so-called Berg winds, the predominant wind direction is landward
(Tyson and Preston-Whyte, 2000) and aeolian input of terrestrial material is
probably minor. Thus, pollen source areas would cover the region north of
the Delagoa Bight in southern Mozambique and the region west of
the Lebombo hills and the Drakensberg escarpment (Dupont et al., 2011a).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F1" specific-use="star"><?xmltex \currentcnt{1}?><label>Figure 1</label><caption><p id="d1e568"><bold>(a)</bold> Map of southern Africa with the main phytochoria
after White (1983). <bold>(b)</bold> Site location of MD96-2048; main vegetation
formations; main rivers; 100, 200, 500 and 1000 m contours; 200, 500 and 1000 m bathymetric contours;
Agulhas (AC) and counter current (CC)
forming a coastal Delagoa Bight lee eddy. Zambezian vegetation woodland and
savannah north of <inline-formula><mml:math id="M36" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">25</mml:mn></mml:mrow></mml:math></inline-formula><inline-formula><mml:math id="M37" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>30<inline-formula><mml:math id="M38" display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula> S,
Tongaland–Pondoland coastal forests south of <inline-formula><mml:math id="M39" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">25</mml:mn></mml:mrow></mml:math></inline-formula><inline-formula><mml:math id="M40" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>30<inline-formula><mml:math id="M41" display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula> S, Zanzibar–Inhambane coastal forests east of
33–34<inline-formula><mml:math id="M42" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E. West of the escarpment with Afromontane forest rises
the interior plateau covered with Highveld grasslands.</p></caption>
          <?xmltex \igopts{width=312.980315pt}?><graphic xlink:href="https://cp.copernicus.org/articles/15/1083/2019/cp-15-1083-2019-f01.jpg"/>

        </fig>

      <p id="d1e646">A wide variety of measurements have been performed on MD96-2048 sediments.
Caley et al. (2011, 2018a) recorded stable oxygen isotopes of benthic
foraminifers (<italic>Planulina wuellerstorfi</italic>) providing a stable oxygen stratigraphy and age model aligned
to the global stack LR04 (Lisiecki and Raymo, 2005) for the past 2200 kyr.
Trace element (<inline-formula><mml:math id="M43" display="inline"><mml:mrow class="chem"><mml:mi mathvariant="normal">Mg</mml:mi><mml:mo>/</mml:mo><mml:mi mathvariant="normal">Ca</mml:mi></mml:mrow></mml:math></inline-formula> ratios) of the planktic foraminifer <italic>Globigerinoides ruber sensu stricto</italic> and foraminifer
assemblages were combined to produce a robust sea surface temperature (SST)
record (Caley et al., 2018a). High-resolution (0.5 cm) X-ray fluorescence (XRF) scanning has been
performed over the total core length, of which the iron–calcium ratios,
ln(<inline-formula><mml:math id="M44" display="inline"><mml:mrow class="chem"><mml:mi mathvariant="normal">Fe</mml:mi><mml:mo>/</mml:mo><mml:mi mathvariant="normal">Ca</mml:mi></mml:mrow></mml:math></inline-formula>), were used to estimate fluvial terrestrial input variability
(Caley et al., 2018a). At millennial resolution, higher plant leaf wax
(<inline-formula><mml:math id="M45" display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>-alkane) concentrations and ratios and compound-specific stable carbon
isotopes (<inline-formula><mml:math id="M46" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">13</mml:mn></mml:msup><mml:msub><mml:mi mathvariant="normal">C</mml:mi><mml:mi mathvariant="normal">wax</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>) provided a record of vegetation changes
in terms of open versus closed canopy and C<inline-formula><mml:math id="M47" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> versus C<inline-formula><mml:math id="M48" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> plants of the past
800 kyr (Castañeda et al., 2016a). A very low-resolution leaf wax deuterium
isotopic record was generated (Caley et al., 2018a) and, in conjunction with
other high-resolution proxies including ln(<inline-formula><mml:math id="M49" display="inline"><mml:mrow class="chem"><mml:mi mathvariant="normal">Fe</mml:mi><mml:mo>/</mml:mo><mml:mi mathvariant="normal">Ca</mml:mi></mml:mrow></mml:math></inline-formula>), was used to reconstruct
rainfall and Limpopo River runoff during the past 2.0 Myr.</p><?xmltex \hack{\newpage}?>
</sec>
<sec id="Ch1.S1.SS2">
  <label>1.2</label><title>Present-day climate and vegetation</title>
      <p id="d1e742">Modern climate is seasonal with the rainy season in summer (November to
March). Yearly precipitation ranges from 600 mm in the lowlands to 1400 mm
in the mountains, whereby rains are more frequent along the coast under the
influence of SSTs (Jury et al., 1993; Reason and Mulenga, 1999).
Annual average temperatures range from 24 to 16 <inline-formula><mml:math id="M50" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C, but in the
highlands clear winter nights may be frosty.</p>
      <p id="d1e754">The modern vegetation of this area belongs to the forest, Highveld
grassland and savannah biomes and also includes azonal vegetation (Fig. 1) (Dupont et al., 2011a, and references therein). The natural
potential vegetation of the coastal belt is forest, although at present it
is almost gone; north of the Limpopo River mouth, rain forests belong to the
Inhambane phytogeographical mosaic and south of the Limpopo River the forest
belongs to the Tongaland–Pondoland regional mosaic (White, 1983). The vegetation of the northern part of the Tongaland–Pondoland
region is the Northern Coastal Forest (Mucina and Rutherford,
2006). Semi-deciduous forest is found in the Lebombo hills (Kersberg, 1996). Afromontane forest and Highveld grasslands grow along the
escarpment and on the mountains. The savannahs of the Zambezian
phytogeographical region, including, e.g. the Miombo dry forest, occur further
inland (White, 1983). Azonal vegetation consists of freshwater
swamps, alluvial and seashore vegetation, and mangroves (Mucina and Rutherford, 2006).</p>
</sec>
</sec>
<sec id="Ch1.S2">
  <label>2</label><title>Material and methods</title>
      <p id="d1e766">Pollen analysis of the 37.59 m long core MD96-2048 (26<inline-formula><mml:math id="M51" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>10<inline-formula><mml:math id="M52" display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula> S,
34<inline-formula><mml:math id="M53" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>01<inline-formula><mml:math id="M54" display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula> E; 660 m water depth) was extended with 65 samples down core
to 12 m (790 ka). Average sampling distance for the Brunhes part was 7 cm
reaching an average temporal resolution of 4 kyr according to the age model
based on the stable oxygen isotope stratigraphy of benthic foraminifers
(Caley et al., 2011, 2018a). Two older windows have been sampled; 20 samples
between 15 and 26 m (943–1537 ka) and 19 samples between 30 and 36 m
(1785–2143 ka) were taken with an average resolution of 31 and 20 kyr,
respectively.</p>
      <p id="d1e805">Pollen preparation has been described in Dupont et al. (2011a). In summary,
samples were decalcified with hydrochloric acid (HCl) (<inline-formula><mml:math id="M55" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">10</mml:mn></mml:mrow></mml:math></inline-formula> %), treated with hydrofluoric acid (HF)
(<inline-formula><mml:math id="M56" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">40</mml:mn></mml:mrow></mml:math></inline-formula> %) for 2 d, ultrasonically sieved over an
8 <inline-formula><mml:math id="M57" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula> screen and, if necessary, decanted. The samples were spiked with
two <italic>Lycopodium</italic> spore tablets (either of batch no. 938934 or batch no. 177745).
Residues were mounted in glycerol and pollen and spores examined at <inline-formula><mml:math id="M58" display="inline"><mml:mrow><mml:mn mathvariant="normal">400</mml:mn><mml:mo>×</mml:mo></mml:mrow></mml:math></inline-formula> or
<inline-formula><mml:math id="M59" display="inline"><mml:mrow><mml:mn mathvariant="normal">1000</mml:mn><mml:mo>×</mml:mo></mml:mrow></mml:math></inline-formula> magnification. Percentages are expressed based on the total of pollen
and spores ranging from over 400 to 60 – only in six samples this sum
amounts to less than 100. Confidence intervals (95 %) were calculated
after Maher Jr. (1972, 1981). Pollen has been identified using the<?pagebreak page1086?> reference
collection of African pollen grains of the Department of Palynology and
Climate Dynamics of the University of Göttingen, the African Pollen
Database collection and literature (e.g. Bonnefille and Riollet, 1980;
Scott, 1982; Köhler and Brückner, 1982, 1989; Schüler and Hemp,
2016).</p>
      <p id="d1e862">We assigned pollen taxa to groups such as riparian, woodland, forest, etc.
(Table S1 in the Supplement) using information given by Scott (1982), White (1983),
Beentje (1994), Kersberg (1996), Coates Palgrave (2002) and Vincens et al. (2007).
Additionally, we carried out a multivariate analysis in the form
of an endmember model unmixing procedure (Weltje, 1997), the statistics of
which are specifically designed for the treatment of percentage data. We
regard the pollen percentages as a series of pollen assemblage mixtures,
whereby each modelled endmember may be interpreted as the representation of
one or more biomes. This linear mixing model can be compared to a ternary
diagram but allowing for more than three axes. We use a version of the
unmixing algorithm programmed in MATLAB by David Heslop in 2008. Taxa
occurring in six or more samples (listed in Table S2 in the Supplement) were used in the endmember modelling (148 of 231 taxa in 220 samples). We selected a model with four components explaining more than 95 % of the variance (<inline-formula><mml:math id="M60" display="inline"><mml:mrow><mml:msup><mml:mi>r</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.953</mml:mn></mml:mrow></mml:math></inline-formula>). Iteration was stopped at <inline-formula><mml:math id="M61" display="inline"><mml:mrow><mml:mn mathvariant="normal">1000</mml:mn><mml:mo>×</mml:mo></mml:mrow></mml:math></inline-formula> resulting in a convexity at
termination of <inline-formula><mml:math id="M62" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1.6881</mml:mn></mml:mrow></mml:math></inline-formula>. The significance level at 99 % for taxa to score on
the assemblages was 0.018.</p>
      <p id="d1e900">To study the correlations between different parameters, we used a linear
regression model (least-square regression) on linearly interpolated values
(5 kyr steps) from 0 to 790 ka. Correlation coefficients are given in Table 1.
For interpolation and testing the correlation, we used the package PAST
(Hammer et al., 2001).</p>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T1" specific-use="star"><?xmltex \currentcnt{1}?><label>Table 1</label><caption><p id="d1e907">Correlation coefficients calculated with PAST (Hammer et
al., 2001). Significant correlations are underlined (95 %) or bold and
underlined (99 %). Average chain length (ACL), ratio of concentrations of
C<inline-formula><mml:math id="M63" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">31</mml:mn></mml:msub></mml:math></inline-formula> <inline-formula><mml:math id="M64" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> (C<inline-formula><mml:math id="M65" display="inline"><mml:mrow><mml:msub><mml:mi/><mml:mn mathvariant="normal">31</mml:mn></mml:msub><mml:mo>+</mml:mo></mml:mrow></mml:math></inline-formula> C<inline-formula><mml:math id="M66" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">29</mml:mn></mml:msub></mml:math></inline-formula>) and stable carbon isotope composition of
the C<inline-formula><mml:math id="M67" display="inline"><mml:mrow><mml:msub><mml:mi/><mml:mn mathvariant="normal">31</mml:mn></mml:msub><mml:mi>n</mml:mi></mml:mrow></mml:math></inline-formula>-alkane (<inline-formula><mml:math id="M68" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">13</mml:mn></mml:msup><mml:msub><mml:mi mathvariant="normal">C</mml:mi><mml:mi mathvariant="normal">wax</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>) after Castañeda et al. (2016b). Cyperaceae and Poaceae pollen percentages (of
total pollen and spores) after Dupont et al. (2011b) and this
study. ln(<inline-formula><mml:math id="M69" display="inline"><mml:mrow class="chem"><mml:mi mathvariant="normal">Fe</mml:mi><mml:mo>/</mml:mo><mml:mi mathvariant="normal">Ca</mml:mi></mml:mrow></mml:math></inline-formula>) data are after Caley et al. (2018c).</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="7">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="right"/>
     <oasis:colspec colnum="3" colname="col3" align="right"/>
     <oasis:colspec colnum="4" colname="col4" align="right"/>
     <oasis:colspec colnum="5" colname="col5" align="right"/>
     <oasis:colspec colnum="6" colname="col6" align="right"/>
     <oasis:colspec colnum="7" colname="col7" align="right"/>
     <oasis:thead>
       <oasis:row>
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3">Ratio</oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M70" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">13</mml:mn></mml:msup><mml:msub><mml:mi mathvariant="normal">C</mml:mi><mml:mi mathvariant="normal">wax</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col5">Cyperaceae</oasis:entry>
         <oasis:entry colname="col6">Poaceae</oasis:entry>
         <oasis:entry colname="col7">XRF</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"><inline-formula><mml:math id="M71" display="inline"><mml:mrow><mml:msup><mml:mi>r</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col2">ACL</oasis:entry>
         <oasis:entry colname="col3">C<inline-formula><mml:math id="M72" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">31</mml:mn></mml:msub></mml:math></inline-formula> <inline-formula><mml:math id="M73" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> (C<inline-formula><mml:math id="M74" display="inline"><mml:mrow><mml:msub><mml:mi/><mml:mn mathvariant="normal">29</mml:mn></mml:msub><mml:mo>+</mml:mo></mml:mrow></mml:math></inline-formula> C<inline-formula><mml:math id="M75" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">31</mml:mn></mml:msub></mml:math></inline-formula>)</oasis:entry>
         <oasis:entry colname="col4">(‰)</oasis:entry>
         <oasis:entry colname="col5">(%)</oasis:entry>
         <oasis:entry colname="col6">(%)</oasis:entry>
         <oasis:entry colname="col7">ln(<inline-formula><mml:math id="M76" display="inline"><mml:mrow class="chem"><mml:mi mathvariant="normal">Fe</mml:mi><mml:mo>/</mml:mo><mml:mi mathvariant="normal">Ca</mml:mi></mml:mrow></mml:math></inline-formula>)</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>
         <oasis:entry colname="col1">ACL</oasis:entry>
         <oasis:entry colname="col2">1</oasis:entry>
         <oasis:entry colname="col3"/>
         <oasis:entry colname="col4"/>
         <oasis:entry colname="col5"/>
         <oasis:entry colname="col6"/>
         <oasis:entry colname="col7"/>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Ratio C<inline-formula><mml:math id="M77" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">31</mml:mn></mml:msub></mml:math></inline-formula> <inline-formula><mml:math id="M78" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> (C<inline-formula><mml:math id="M79" display="inline"><mml:mrow><mml:msub><mml:mi/><mml:mn mathvariant="normal">31</mml:mn></mml:msub><mml:mo>+</mml:mo></mml:mrow></mml:math></inline-formula> C<inline-formula><mml:math id="M80" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">29</mml:mn></mml:msub></mml:math></inline-formula>)</oasis:entry>
         <oasis:entry colname="col2"><underline>
                  <bold>0.635</bold>
                </underline></oasis:entry>
         <oasis:entry colname="col3">1</oasis:entry>
         <oasis:entry colname="col4"/>
         <oasis:entry colname="col5"/>
         <oasis:entry colname="col6"/>
         <oasis:entry colname="col7"/>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"><inline-formula><mml:math id="M81" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">13</mml:mn></mml:msup><mml:msub><mml:mi mathvariant="normal">C</mml:mi><mml:mi mathvariant="normal">wax</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col2"><underline>
                  <bold>0.079</bold>
                </underline></oasis:entry>
         <oasis:entry colname="col3"><underline>
                  <bold>0.180</bold>
                </underline></oasis:entry>
         <oasis:entry colname="col4">1</oasis:entry>
         <oasis:entry colname="col5"/>
         <oasis:entry colname="col6"/>
         <oasis:entry colname="col7"/>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Cyperaceae (%)</oasis:entry>
         <oasis:entry colname="col2">0.027</oasis:entry>
         <oasis:entry colname="col3"><underline>
                  <bold>0.140</bold>
                </underline></oasis:entry>
         <oasis:entry colname="col4"><underline>
                  <bold>0.142</bold>
                </underline></oasis:entry>
         <oasis:entry colname="col5">1</oasis:entry>
         <oasis:entry colname="col6"/>
         <oasis:entry colname="col7"/>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Poaceae (%)</oasis:entry>
         <oasis:entry colname="col2">0.003</oasis:entry>
         <oasis:entry colname="col3">0.016</oasis:entry>
         <oasis:entry colname="col4">0.003</oasis:entry>
         <oasis:entry colname="col5"><underline>
                  <bold>0.165</bold>
                </underline></oasis:entry>
         <oasis:entry colname="col6">1</oasis:entry>
         <oasis:entry colname="col7"/>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">XRF ln(<inline-formula><mml:math id="M82" display="inline"><mml:mrow class="chem"><mml:mi mathvariant="normal">Fe</mml:mi><mml:mo>/</mml:mo><mml:mi mathvariant="normal">Ca</mml:mi></mml:mrow></mml:math></inline-formula>)</oasis:entry>
         <oasis:entry colname="col2">0.016</oasis:entry>
         <oasis:entry colname="col3"><underline>0.032</underline></oasis:entry>
         <oasis:entry colname="col4"><underline>
                  <bold>0.227</bold>
                </underline></oasis:entry>
         <oasis:entry colname="col5"><underline>
                  <bold>0.110</bold>
                </underline></oasis:entry>
         <oasis:entry colname="col6">0.011</oasis:entry>
         <oasis:entry colname="col7">1</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

</sec>
<?pagebreak page1087?><sec id="Ch1.S3">
  <label>3</label><title>Result and discussion</title>
<sec id="Ch1.S3.SS1">
  <label>3.1</label><?xmltex \opttitle{Terrestrial input and provenance of the C${}_{4}$ plant wax}?><title>Terrestrial input and provenance of the C<inline-formula><mml:math id="M83" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> plant wax</title>
      <p id="d1e1391">Pollen percentages of Cyperaceae (sedges) and Poaceae (grasses) are plotted
in Fig. 2 together with the <inline-formula><mml:math id="M84" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">13</mml:mn></mml:msup><mml:msub><mml:mi mathvariant="normal">C</mml:mi><mml:mi mathvariant="normal">wax</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> of the 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>
<inline-formula><mml:math id="M86" display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>-alkane and XRF-scanning data, ln(<inline-formula><mml:math id="M87" display="inline"><mml:mrow class="chem"><mml:mi mathvariant="normal">Fe</mml:mi><mml:mo>/</mml:mo><mml:mi mathvariant="normal">Ca</mml:mi></mml:mrow></mml:math></inline-formula>), the natural logarithm of elemental
ratios of iron over calcium. Comparing the records of Cyperaceae and <inline-formula><mml:math id="M88" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">13</mml:mn></mml:msup><mml:msub><mml:mi mathvariant="normal">C</mml:mi><mml:mi mathvariant="normal">wax</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>
reveals that high relative amounts of C<inline-formula><mml:math id="M89" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> plant material
co-varied with increased representation of sedges. They also co-varied with
higher terrestrial input indicated by ln(<inline-formula><mml:math id="M90" display="inline"><mml:mrow class="chem"><mml:mi mathvariant="normal">Fe</mml:mi><mml:mo>/</mml:mo><mml:mi mathvariant="normal">Ca</mml:mi></mml:mrow></mml:math></inline-formula>) and increased precipitation
as suggested by deuterium of the C<inline-formula><mml:math id="M91" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">31</mml:mn></mml:msub></mml:math></inline-formula> <inline-formula><mml:math id="M92" display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>-alkane (Caley et al., 2018a). We
substantiated the correlations for the Brunhes Chron between pollen
percentages, leaf waxes and elemental ratios in Table 1. Leaf wax data are
after Castañeda et al. (2016b) including average chain length (ACL) of
the C<inline-formula><mml:math id="M93" 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="M94" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">33</mml:mn></mml:msub></mml:math></inline-formula> <inline-formula><mml:math id="M95" display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>-alkanes, the ratio of
C<inline-formula><mml:math id="M96" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">31</mml:mn></mml:msub></mml:math></inline-formula> <inline-formula><mml:math id="M97" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> (C<inline-formula><mml:math id="M98" display="inline"><mml:mrow><mml:msub><mml:mi/><mml:mn mathvariant="normal">31</mml:mn></mml:msub><mml:mo>+</mml:mo></mml:mrow></mml:math></inline-formula> C<inline-formula><mml:math id="M99" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">29</mml:mn></mml:msub></mml:math></inline-formula>) and <inline-formula><mml:math id="M100" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">13</mml:mn></mml:msup><mml:msub><mml:mi mathvariant="normal">C</mml:mi><mml:mi mathvariant="normal">wax</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>. XRF ln(<inline-formula><mml:math id="M101" display="inline"><mml:mrow class="chem"><mml:mi mathvariant="normal">Fe</mml:mi><mml:mo>/</mml:mo><mml:mi mathvariant="normal">Ca</mml:mi></mml:mrow></mml:math></inline-formula>)
ratios are from Caley et al. (2018c). Significant correlation is found
between the leaf wax parameters and Cyperaceae data but not between <inline-formula><mml:math id="M102" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">13</mml:mn></mml:msup><mml:msub><mml:mi mathvariant="normal">C</mml:mi><mml:mi mathvariant="normal">wax</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>
(indicative of C<inline-formula><mml:math id="M103" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> inputs) and Poaceae pollen percentages –
although a correlation exists between Cyperaceae and Poaceae percentages.
While the sedge pollen percentages fluctuate between 10 % and 50 % (mostly
&gt; 20 %), the percentages of grass pollen are always lower than
20 %. Such low grass pollen values have not been found adjacent C<inline-formula><mml:math id="M104" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> grass
dominated biomes (mainly savannahs) on the western side of the continent
(Dupont, 2011). It is, therefore, likely that in sediments of MD96-2048 the
C<inline-formula><mml:math id="M105" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> component of the plant wax originated from C<inline-formula><mml:math id="M106" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> sedges rather than from C<inline-formula><mml:math id="M107" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula>
grasses.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F2" specific-use="star"><?xmltex \currentcnt{2}?><label>Figure 2</label><caption><p id="d1e1648">Indicators of C<inline-formula><mml:math id="M108" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> vegetation and terrestrial input.
<bold>(a)</bold> Elemental <inline-formula><mml:math id="M109" display="inline"><mml:mrow class="chem"><mml:mi mathvariant="normal">Fe</mml:mi><mml:mo>/</mml:mo><mml:mi mathvariant="normal">Ca</mml:mi></mml:mrow></mml:math></inline-formula> ratios (Caley et al., 2018c); less negative values indicate relatively wetter conditions. <bold>(b)</bold> <inline-formula><mml:math id="M110" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">13</mml:mn></mml:msup><mml:msub><mml:mi mathvariant="normal">C</mml:mi><mml:mi mathvariant="normal">wax</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> of the <inline-formula><mml:math id="M111" display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>-alkane C<inline-formula><mml:math id="M112" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">31</mml:mn></mml:msub></mml:math></inline-formula> (Castañeda et al., 2016b; Caley et al., 2018e); less negative values of around <inline-formula><mml:math id="M113" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">24</mml:mn></mml:mrow></mml:math></inline-formula> ‰ indicate more C<inline-formula><mml:math id="M114" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> inputs while more negative values of around <inline-formula><mml:math id="M115" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">28</mml:mn></mml:mrow></mml:math></inline-formula> ‰ indicate more C<inline-formula><mml:math id="M116" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> inputs. <bold>(c)</bold> Cyperaceae (sedges) pollen percentages (Dupont et al., 2011b, this study). <bold>(d)</bold> Poaceae (grass) pollen percentages (Dupont et al., 2011b, this study). Shaded areas denote 95 % confidence intervals after Maher Jr. (1972). Stars denote corresponding maxima in Cyperaceae pollen percentages and the stable carbon isotopes indicating C<inline-formula><mml:math id="M117" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> vegetation. VPDB: Vienna Pee Dee Belemnite. Note the scale break.</p></caption>
          <?xmltex \igopts{width=398.338583pt}?><graphic xlink:href="https://cp.copernicus.org/articles/15/1083/2019/cp-15-1083-2019-f02.png"/>

        </fig>

      <p id="d1e1771">South Africa has 68 species of Cyperaceae (sedges) of which 28 use the C<inline-formula><mml:math id="M118" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula>
pathway (among the 10 <italic>Cyperus</italic> species, 8 are C<inline-formula><mml:math id="M119" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula>) predominantly growing in the
northern part of the country (Stock et al., 2004). They are an important
constituent of tropical swamps and riversides (Chapman et al., 2001). An
inventory of six modern wetlands between 500 and 1900 m in KwaZulu-Natal
shows that C<inline-formula><mml:math id="M120" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> grasses dominate the dry surroundings of the wetlands at all
altitudes (Kotze and O'Connor, 2000). In the wet parts of the wetlands,
however, C<inline-formula><mml:math id="M121" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> sedges may make up to 60 % of the vegetation cover at 550 m.
At higher altitudes the coverage of C<inline-formula><mml:math id="M122" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> sedges declines (Kotze and O'Connor, 2000).</p>
      <p id="d1e1824">Cyperaceae pollen concentration (Fig. 3) and percentages correlate with
ln(<inline-formula><mml:math id="M123" display="inline"><mml:mrow class="chem"><mml:mi mathvariant="normal">Fe</mml:mi><mml:mo>/</mml:mo><mml:mi mathvariant="normal">Ca</mml:mi></mml:mrow></mml:math></inline-formula>) and with <inline-formula><mml:math id="M124" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">13</mml:mn></mml:msup><mml:msub><mml:mi mathvariant="normal">C</mml:mi><mml:mi mathvariant="normal">wax</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> (Table 1, Fig. 2). The ratios
of terrestrial iron over marine calcium can be interpreted as a measure for
terrestrial input, which in this part of the ocean is mainly fluvial.
Correlation between increased fluvial discharge and increased C<inline-formula><mml:math id="M125" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> vegetation
as well as increased Cyperaceae pollen has been reported from sediments off
the Zambezi (Schefuß et al., 2011; Dupont and Kuhlmann, 2017). Moreover,
a fingerprint of C<inline-formula><mml:math id="M126" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> sedges was found in Lake Tanganyika (Ivory and Russel,
2016). As a consequence, material (leaf waxes and pollen) from the riverine
vegetation is probably better represented than that from dry and upland
vegetation. These results corroborate the reinterpretation of the <inline-formula><mml:math id="M127" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">13</mml:mn></mml:msup><mml:msub><mml:mi mathvariant="normal">C</mml:mi><mml:mi mathvariant="normal">wax</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> record, in which the increased representation of C<inline-formula><mml:math id="M128" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> plants
(<inline-formula><mml:math id="M129" display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>-alkanes enriched in <inline-formula><mml:math id="M130" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">13</mml:mn></mml:msup><mml:mi mathvariant="normal">C</mml:mi></mml:mrow></mml:math></inline-formula>) is instead attributed to stronger transport
of material from the upper Limpopo catchment and the extension of swamps
containing C<inline-formula><mml:math id="M131" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> sedges under more humid conditions (Caley et al., 2018a).
Previously, Castañeda et al. (2016a) had interpreted increased C<inline-formula><mml:math id="M132" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> inputs
as reflecting increased aridity.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F3" specific-use="star"><?xmltex \currentcnt{3}?><label>Figure 3</label><caption><p id="d1e1938">Summary of results of MD96-2048. <bold>(a)</bold> Stable oxygen isotopes of benthic foraminifers of core MD96-2048 (Caley et al., 2018b). <bold>(b)</bold> Global stack of stable oxygen isotopes of benthic foraminifers, LR04 (Liesiecki and Raymo, 2005). <bold>(c)</bold> Elemental ratios <inline-formula><mml:math id="M133" display="inline"><mml:mrow class="chem"><mml:mi>ln⁡</mml:mi><mml:mo>(</mml:mo><mml:mi mathvariant="normal">Fe</mml:mi><mml:mo>/</mml:mo><mml:mi mathvariant="normal">Ca</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>. <bold>(d)</bold> Cyperaceae pollen concentration per mililitre (shading denote 95 % confidence intervals after Maher Jr., 1981). <bold>(e)</bold> Pollen summary diagram (woodland and forest taxa are listed in Table S1 in the Supplement). <bold>(f)</bold> Fractional abundance of endmembers E-Heathland, E-Mountain-Forest, E-Woodland and E-Shrubland. <bold>(g)</bold> Pollen and spore count used to calculate percentages. On top interglacial peaks after PAGES (2016) are indicated. VPDB: Vienna Pee Dee Belemnite.</p></caption>
          <?xmltex \igopts{width=455.244094pt}?><graphic xlink:href="https://cp.copernicus.org/articles/15/1083/2019/cp-15-1083-2019-f03.png"/>

        </fig>

      <p id="d1e1987">Relatively low values of Cyperaceae pollen and <inline-formula><mml:math id="M134" display="inline"><mml:mrow class="chem"><mml:mi mathvariant="normal">Fe</mml:mi><mml:mo>/</mml:mo><mml:mi mathvariant="normal">Ca</mml:mi></mml:mrow></mml:math></inline-formula> ratios are found for
most interglacials of the Brunhes Chron (Figs. 2 and 3), which could be
interpreted as an effect of sea-level highstands. However, Caley et al. (2018a)
demonstrated that the fluvial discharge is not related to sea-level
changes. From the bathymetry of Delagoa Bight, a strong influence of sea level
is also not expected because the shelf is not broad and the locality of core
MD96-2048 is relatively remote on the Limpopo cone in the centre of the
clockwise flowing Delagoa Bight lee eddy. The eddy transports terrestrial
material northeastwards before it is taken southwards (Fig. 1) (Martin,
1981) and likely has not changed direction during glacial times. Thus,
fluvial discharge was probably low during interglacials (among other
periods), which might be the combined result of more evapotranspiration and
less precipitation. Despite drier conditions, the representation of woodland
and dry<?pagebreak page1088?> forest is relatively high during the interglacial periods (Fig. 3;
see also next section).</p>
</sec>
<sec id="Ch1.S3.SS2">
  <label>3.2</label><title>Endmembers representing vegetation on land</title>
      <p id="d1e2010">Palynological results have been published for the past 350 kyr (Dupont et al., 2011a)
providing a detailed vegetation record for the past three climate
cycles. Pollen and spore assemblages could be characterized initially by
three endmembers via endmember modelling (EM1, EM2, EM3). The assemblage of
EM1 was dominated by <italic>Podocarpus</italic> (yellow wood) pollen percentages being more abundant
during the non-interglacial parts of MIS 5, 7 and 9. EM2 was characterized
by pollen percentages of Cyperaceae (sedges), Ericaceae (heather) and other
plants of open vegetation and abundant during full glacial stages. EM3
constituted of pollen from woodland, forest and coastal vegetation and was
interpreted to represent a mix of several vegetation complexes.</p>
      <p id="d1e2016">We repeated the endmember modelling for the extended record covering the
entire Brunhes Chron and the two early Pleistocene windows. The analysis of
the extended dataset gave compatible results with the previous analysis
(Dupont et al., 2011a). The main difference is that the longer sequence
allowed to distinguish two assemblages of interglacial vegetation. In terms
of analysis, the cumulative increase of explanatory power lessened after
four (instead of three) endmembers, and a model with four endmembers was
chosen. We used the scores of the different pollen taxa on the endmember
assemblages for our interpretation of the endmembers (list of taxa and
scores in Tables S1 and S2 in the Supplement). This interpretation is summarized
in Table 2. To distinguish between the previous and current analyses (which
show strong similarities), we have given new names to the endmember
assemblages reflecting our interpretation: E-heathland, E-Mountain-Forest,
E-Shrubland and E-Woodland. A selection of pollen percentage curves are plotted
together with each endmember's fractional abundance in Figs. S2–S5 in the Supplement.
<list list-type="custom"><list-item><label> </label>
      <p id="d1e2021"><italic>E-Heathland.</italic> Of the four endmember assemblages (Fig. 3), one
endmember had a counterpart in EM2 (Dupont et al., 2011a) of the previous
analysis. Not only composition but also the fractional abundances, which
were high during glacial stages, are very much alike. We name this endmember
“E-Heathland”, which is dominated by Cyperaceae (sedges) pollen percentages,
followed by Ericaceae (heather) pollen and hornwort (Anthocerotaceae) spores
(Table 2). Also <italic>Lycopodium</italic> (clubmoss) spore, Restionaceae and <italic>Stoebe</italic>-type pollen percentages
score highest on this endmember. The E-Heathland assemblage represents a
fynbos-like open vegetation growing during full glacials. Other pollen
records from SE Africa also indicate an open ericaceous vegetation with
sedges and Restionaceae during glacial<?pagebreak page1089?> times (Scott, 1999; Dupont and Kuhlmann, 2017).
The record of MD96-2048 testifies that this type of open
glacial vegetation has regularly occurred for at least 2 million years.</p></list-item><list-item><label> </label>
      <p id="d1e2033"><italic>E-Mountain-Forest.</italic> Like the endmember EM1 (Dupont et al., 2011a) of
the previous analysis, one endmember is dominated by <italic>Podocarpus</italic> (yellow wood) pollen
percentages (Table 2). The assemblage is enriched by pollen of <italic>Celtis</italic>
(hackberries) and <italic>Olea</italic> (olive trees) accompanied by undifferentiated fern
spores. The interpretation as an assemblage representing mountain forest is
rather straightforward, and we name the assemblage “E-Mountain-Forest”. The
fractional abundance of the E-Mountain-Forest is also high in glacials of
the Brunhes Chron but not during the extreme glacial stages, when
temperatures and <inline-formula><mml:math id="M135" display="inline"><mml:mrow class="chem"><mml:mi>p</mml:mi><mml:msub><mml:mi mathvariant="normal">CO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> are particularly low (Fig. 3). It is low in the
early Pleistocene parts of the record.</p></list-item><list-item><label> </label>
      <?pagebreak page1090?><p id="d1e2061"><italic>E-Shrubland.</italic> The remaining endmember assemblages have no direct
counterpart in the previous analysis, although summed together the pattern
of fractional abundance is similar to that of EM3 (Dupont et al., 2011a). One
endmember groups together 44 pollen taxa, mostly from coastal and dune
vegetation, which we name “E-Shrubland”. It includes pollen of Asteraceae
and Poaceae (grasses). The latter are not very specific as grass pollen
values score almost as high on other endmember assemblages (E-Heathland and
E-Woodland). Several taxa scoring on this endmember are known from coastal
or halophytic settings such as <italic>Gazania</italic> type, Amaranthaceae, <italic>Tribulus</italic>, Acanthaceae and
<italic>Euphorbia</italic> type. Arboreal taxa in this assemblage are <italic>Dombeya</italic>,
<italic>Acacia</italic> and Meliaceae/Sapotaceae (Table 2). The most typical taxa are the
<italic>Buxus</italic> species. We distinguished three types of
<italic>Buxus</italic> pollen: <italic>B. macowanii</italic> type, <italic>B. hildebrandtii</italic> type
and <italic>B.</italic> cf. <italic>madagascarica</italic> (Köhler and Brückner, 1982, 1989). <italic>B. madagascarica</italic> grows
on Madagascar and its pollen is only found sporadically, while the other two
species inhabit bushland and forest on coastal dunes of the east African
mainland. <italic>B. hildebrandtii</italic> nowadays is found in Somalia and Ethiopia, and <italic>B. macowanii</italic> is native in
South Africa. The record of M96-2048 indicates that these <italic>Buxus</italic> species were more
common in the early Pleistocene than during the Brunhes Chron (Fig. 3).</p></list-item><list-item><label> </label>
      <p id="d1e2114"><italic>E-Woodland.</italic> The last endmember, which we name “E-Woodland”, groups
together 39 pollen taxa from forest and woodland species with maximum values
of less than 5 % or 2 % of the total of pollen and spores. To this
assemblage belong <italic>Pseudolachnostylis</italic>, <italic>Dodonaea viscosa</italic> and
<italic>Manilkara</italic>, which are woodland trees. <italic>Protea</italic> (sugarbush) and
<italic>Myrsine africana</italic> (Cape myrtle) grow more upland, and <italic>Alchornea</italic> is a pioneer forest tree often growing
along rivers. Others include wide-range woodland taxa such as Combretaceae
species. The occurrence of pollen of <italic>Brachystegia</italic> (Miombo tree),
<italic>Burkea africana</italic>, <italic>Spirostachys</italic> <italic>africana</italic> and <italic>Hymenocardia</italic> in this
assemblage is indicative of Miombo dry forest and woodland. The assemblage
additionally includes Rhizophoraceae pollen from the coastal mangrove forest
(Table 2). The fractional abundance of the E-Woodland assemblage is low
during the early Pleistocene, increased during the interglacials prior to
the MBE and had maximum values during Interglacials 9e, 5e and 1 (Figs. 3, 4).
These interglacials also exhibited maximum percentages of arboreal
pollen excluding <italic>Podocarpus</italic>.</p></list-item></list></p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F4" specific-use="star"><?xmltex \currentcnt{4}?><label>Figure 4</label><caption><p id="d1e2159">Comparing pollen assemblages E-Mountain-Forest, E-Woodland and
E-Shrubland with atmospheric <inline-formula><mml:math id="M136" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">CO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> (Bereiter et al., 2015; PAGES, 2016). On
top are denoted interglacial peaks of the past 800 kyr (PAGES, 2016) and stable oxygen
isotopes of benthic foraminifera (<inline-formula><mml:math id="M137" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">18</mml:mn></mml:msup><mml:msub><mml:mi mathvariant="normal">O</mml:mi><mml:mi mathvariant="normal">benthic</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>) of MD96-2048 (Caley
et al., 2018b). <inline-formula><mml:math id="M138" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">CO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> levels of 220 and 270 ppmv are indicated with
green–red shading. Grey shading highlights periods with maximum atmospheric
<inline-formula><mml:math id="M139" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">CO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> and maximum values of the sum of E-Woodland and E-Mountain-Forest.
VPDB: Vienna Pee Dee Belemnite.</p></caption>
          <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://cp.copernicus.org/articles/15/1083/2019/cp-15-1083-2019-f04.png"/>

        </fig>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T2"><?xmltex \currentcnt{2}?><label>Table 2</label><caption><p id="d1e2221">Interpretation of the endmembers.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="2">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="justify" colwidth="145.109055pt"/>
     <oasis:thead>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Endmember</oasis:entry>
         <oasis:entry colname="col2">Main pollen taxa</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">E-Heathland</oasis:entry>
         <oasis:entry colname="col2">Cyperaceae, Ericaceae, <italic>Phaeoceros</italic>, Restionaceae, <italic>Stoebe</italic> type, <italic>Anthoceros</italic>, <italic>Typha</italic>, <italic>Lycopodium</italic>, Restionaceae</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">E-Mountain-Forest</oasis:entry>
         <oasis:entry colname="col2"><italic>Podocarpus</italic>, <italic>Celtis</italic>, <italic>Olea</italic></oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">E-Shrubland</oasis:entry>
         <oasis:entry colname="col2">Poaceae, Asteroideae, <italic>Buxus</italic>, Amaranthaceae, <italic>Euphorbia</italic>, Meliaceae–Sapotaceae, <italic>Acacia</italic>, <italic>Riccia</italic> type, <italic>Tribulus</italic>, Acanthaceae pp., Asteraceae Vernoniae, <italic>Hypoestes</italic>–<italic>Dicliptera</italic> type, <italic>Gazania</italic> type, <italic>Dombeya</italic></oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">E-Woodland</oasis:entry>
         <oasis:entry colname="col2"><italic>Alchornea</italic>, <italic>Spirostachys</italic> <italic>africana</italic>, <italic>Pteridium</italic> type, Polypodiaceae, <italic>Myrsine</italic> <italic>africana</italic>, <italic>Cassia</italic> type, Rhizophoraceae, Aizoaceae, Combretaceae pp., <italic>Manilkara</italic>, <italic>Burkea</italic> <italic>africana</italic>, <italic>Brachystegia</italic>, <italic>Dodonaea</italic> <italic>viscosa</italic>, <italic>Pseudolachnostylis</italic>, <italic>Hymenocardia</italic>, <italic>Aloe</italic>, Rhamnaceae pp., <italic>Protea</italic>, <italic>Parinari</italic></oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

      <p id="d1e2387">In summary, the endmember analysis indicates a very stable open ericaceous
vegetation with partially wet elements such as sedges and Restionaceae
characterizing the landscape of full glacials (when global temperatures and
<inline-formula><mml:math id="M140" display="inline"><mml:mrow class="chem"><mml:mi>p</mml:mi><mml:msub><mml:mi mathvariant="normal">CO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> were lowest). During the less extreme parts of the glacials,
mountain <italic>Podocarpus</italic> forest was extensive as in most mountains of Africa (Dupont, 2011;
Ivory et al., 2018). On the other hand, interglacials were characterized by
coastal shrubs. In the course of the Brunhes, the woody component, which was
relatively weak before the MBE, became more and more important, reflecting
the same long-term trend found in the leaf wax records (Castañeda et al., 2016a).
It is likely that the Miombo dry forest and woodland migrated into
the region in the successive interglacials of the Brunhes Chron.
Particularly during Interglacials 9e and 1, the area might have been more
forested than during the older interglacials of the Brunhes Chron.</p>
</sec>
<sec id="Ch1.S3.SS3">
  <label>3.3</label><title>Long-term trends in vegetation and climate of east Africa</title>
      <p id="d1e2414">The region of the Limpopo River becoming more and more wooded in the course
of successive interglacials (Castañeda et al., 2016a) somewhat paralleled
the conditions around Lake Malawi (Johnson et al., 2016). However, around
Lake Malawi, forested phases of either mountain forest, seasonal forest or
Miombo woodland alternating with savannahs occurred during both glacial and
interglacial stages (Ivory et al., 2018). Also in contrast to the Lake Malawi
record, the MD96-2048 Poaceae pollen percentages fluctuated little and
remained relatively low (less than 20 %), indicating that savannahs were of
less importance in the Limpopo catchment area and the coastal region of
southern Mozambique.</p>
      <p id="d1e2417">The trend to increased woodland in SE Africa after the MBE, noted at both
Lake Malawi and in the Limpopo River catchment (Johnson et al., 2016; Caley
et al., 2018a, this study), contrasts with the trend around Lake Magadi at the
Equator. At Lake Magadi, a trend to less forest marks the Mid-Brunhes
Transition (Owen et al., 2018). Antiphase behaviour of SE African climate with
that of west and east Africa emphasizes the importance of the average position
of the tropical rain belt shifting southwards during globally cold periods as
has been inferred from Holocene to last glacial records of Lake Malawi
(Johnson et al., 2002; Scholz et al., 2011). Our results confirm this
relationship existed over the entire Brunhes Chron.</p>
      <p id="d1e2420">The Lake Malawi pollen records and Lake Magadi pollen records
in Kenya (Johnson et al., 2016; Owen et al., 2018) do not show much of a glacial–interglacial
rhythm and are dominated by the precession variability in tropical rainfall
(e.g. Clement et al., 2004).
Obviously, in the tropical climate of the
Southern Hemisphere north of <inline-formula><mml:math id="M141" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">15</mml:mn></mml:mrow></mml:math></inline-formula><inline-formula><mml:math id="M142" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S, the
hydrological regime had more effect on the vegetation than changes<?pagebreak page1091?> in
temperature, while further south the impact of glacial–interglacial
variability on the vegetation increased.</p>
</sec>
<sec id="Ch1.S3.SS4">
  <label>3.4</label><?xmltex \opttitle{Effects of atmospheric {$\protect\chem{\mathit{p}CO_{2}}$}}?><title>Effects of atmospheric <inline-formula><mml:math id="M143" display="inline"><mml:mrow class="chem"><mml:mi>p</mml:mi><mml:msub><mml:mi mathvariant="normal">CO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula></title>
      <p id="d1e2462">While the hydroclimate of the region shows precession variability (Caley et al., 2018a), the
vegetation shows a glacial–interglacial rhythm (Fig. S1 in the Supplement),
indicating that besides hydrology, temperature and/or atmospheric
<inline-formula><mml:math id="M144" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">CO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> levels were important drivers of the vegetation development.
Combining the results of the pollen assemblages with stable carbon isotopes
and elemental information indicates that during interglacials the region of
SE Africa (northern South Africa, Zimbabwe and southern Mozambique) was less
humid. This is in accordance with other palaeoclimate estimates for the
region (see reviews by Simon et al., 2015; Singarayer and Burrough, 2015).</p>
      <p id="d1e2476">The interglacial woodlands (represented by E-Woodland, Fig. 4) would
probably have grown under warmer and drier conditions than the glacial
mountain forest (represented by E-Mountain-Forest). The increase in maximum
<inline-formula><mml:math id="M145" display="inline"><mml:mrow class="chem"><mml:mi>p</mml:mi><mml:msub><mml:mi mathvariant="normal">CO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> levels during the post-MBE interglacials might have favoured tree
growth, as higher <inline-formula><mml:math id="M146" display="inline"><mml:mrow class="chem"><mml:mi>p</mml:mi><mml:msub><mml:mi mathvariant="normal">CO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> levels would have allowed decreased stomatal
conductivity and thus relieved drought stress (Jolly and Haxeltine, 1997).
Woodlands would have expanded at the cost of mountain forest during MIS 11c, 9e,
5e and 1, and to a lesser extent during 7e and 7c, when temperatures and
<inline-formula><mml:math id="M147" display="inline"><mml:mrow class="chem"><mml:mi>p</mml:mi><mml:msub><mml:mi mathvariant="normal">CO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> were high (Fig. 4). It might be only after interglacial
<inline-formula><mml:math id="M148" display="inline"><mml:mrow class="chem"><mml:mi>p</mml:mi><mml:msub><mml:mi mathvariant="normal">CO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> levels rose over <inline-formula><mml:math id="M149" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">270</mml:mn></mml:mrow></mml:math></inline-formula> ppmv that Miombo woodland
could fully establish in the area during the warm and relatively dry
post-MBE interglacials.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F5" specific-use="star"><?xmltex \currentcnt{5}?><label>Figure 5</label><caption><p id="d1e2543">Comparing Cyperaceae pollen percentages and fractional abundances
of the glacial pollen assemblages E-Mountain-Forest and E-Heathland with
atmospheric <inline-formula><mml:math id="M150" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">CO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> (Bereiter et al., 2015; PAGES, 2016) and sea
surface temperatures of the southeastern Indian Ocean (SST PC1 scores of
MD96-2048) (Caley et al., 2018d). On top are denoted terminations I through to IX of the
past nine glaciations, even-numbered marine isotope stages (MISs), and stable oxygen
isotopes of benthic foraminifera (<inline-formula><mml:math id="M151" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">18</mml:mn></mml:msup><mml:msub><mml:mi mathvariant="normal">O</mml:mi><mml:mi mathvariant="normal">benthic</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>) of
MD96-2048 (Caley et al., 2018b). <inline-formula><mml:math id="M152" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">CO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> levels of 220 and 270 ppmv are
indicated with blue–green–red shading. Grey shading highlights
periods with minimum atmospheric <inline-formula><mml:math id="M153" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">CO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>, minimum values of
E-Mountain-Forest and maximum values of E-Heathland and Cyperaceae pollen.
VPDB: Vienna Pee Dee Belemnite.</p></caption>
          <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://cp.copernicus.org/articles/15/1083/2019/cp-15-1083-2019-f05.png"/>

        </fig>

      <p id="d1e2602">The glacial stages showed the expansion of either mountain forest or
heathland. The record indicates extension of mountain forests in SE Africa
during those parts of the glacial stages with low temperatures and
atmospheric <inline-formula><mml:math id="M154" display="inline"><mml:mrow class="chem"><mml:mi>p</mml:mi><mml:msub><mml:mi mathvariant="normal">CO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> exceeding <inline-formula><mml:math id="M155" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">220</mml:mn></mml:mrow></mml:math></inline-formula> ppmv (Fig. 5). If low
temperatures were the only driver of the extension of mountain forests,
further spread into the lowlands during the coldest glacial phases should be
expected. Instead, when <inline-formula><mml:math id="M156" display="inline"><mml:mrow class="chem"><mml:mi>p</mml:mi><mml:msub><mml:mi mathvariant="normal">CO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> dropped below <inline-formula><mml:math id="M157" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">220</mml:mn></mml:mrow></mml:math></inline-formula> ppmv
during those colder glacial periods, mountain forest declined, in particular
during MIS 18, 16, 14, 8, 6 and 2. A picture emerges of cool glacial stages
in SE Africa in which tree cover broke down when atmospheric <inline-formula><mml:math id="M158" display="inline"><mml:mrow class="chem"><mml:mi>p</mml:mi><mml:msub><mml:mi mathvariant="normal">CO</mml:mi><mml:mn mathvariant="normal">2<?pagebreak page1092?></mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> became
too low. Additionally, mountain forests were important during Interglacials 19c, 17c, 15e, 15a, 13a and 7e, in which <inline-formula><mml:math id="M159" display="inline"><mml:mrow class="chem"><mml:mi>p</mml:mi><mml:msub><mml:mi mathvariant="normal">CO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> and
Antarctic temperatures were subdued.</p>
      <p id="d1e2678">With an inverse modelling technique, Wu et al. (2007) estimated the climate
inputs for the vegetation model BIOME4 using as information the biome scores
of pollen records from equatorial east African mountains. Wu et al. (2007) found
that lowering of the tree line under glacial conditions (1–3 <inline-formula><mml:math id="M160" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C
lower temperatures, less precipitation, 200 ppmv <inline-formula><mml:math id="M161" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula>CO<inline-formula><mml:math id="M162" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>) depended hardly
on temperature but primarily on increased aridity and somewhat on lower
<inline-formula><mml:math id="M163" display="inline"><mml:mrow class="chem"><mml:mi>p</mml:mi><mml:msub><mml:mi mathvariant="normal">CO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>, whereby lower <inline-formula><mml:math id="M164" display="inline"><mml:mrow class="chem"><mml:mi>p</mml:mi><mml:msub><mml:mi mathvariant="normal">CO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> amplified the effects of water limitation.
However, Izumi and Lézine (2016) found contrasting results using pollen
records of mountain sites on both sides of the Congo basin. At any rate, the
lack of trees in the southeast African mountains during glacial extremes is
unlikely the result of drought, because our record indicates that climate
conditions in SE Africa were less dry during glacials than during
interglacials (the post-MBE interglacials in particular). Instead, C<inline-formula><mml:math id="M165" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> sedges
being an important constituent of the ericaceous fynbos-like vegetation
increased during glacials when atmospheric <inline-formula><mml:math id="M166" display="inline"><mml:mrow class="chem"><mml:mi>p</mml:mi><mml:msub><mml:mi mathvariant="normal">CO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> and temperatures were
low (Fig. 5). However, low temperatures are not particularly favourable for
C<inline-formula><mml:math id="M167" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> sedges as indicated by the altitudinal distribution of C<inline-formula><mml:math id="M168" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> sedges in
modern wetlands of KwaZulu-Natal (Kotze and O'Connor, 2000). We presume,
therefore, that the extension of C<inline-formula><mml:math id="M169" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> sedges during the colder phases of
the glacials is the result of low atmospheric <inline-formula><mml:math id="M170" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">CO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> concentrations rather
than of low temperatures.</p>
      <?pagebreak page1093?><p id="d1e2793">Pollen records of ericaceous vegetation suggest an extensive open vegetation
existing in the east African mountains (e.g. Coetzee, 1967; Bonnefille and Riollet, 1988; Marchant et al., 1997;
Debusk, 1998; Bonnefille and Chalié, 2000) and in SE Africa and Madagascar (e.g. Botha et al., 1992; Scott, 1999;
Gasse and Van Campo, 2001; Scott and Tackeray, 1987) during the last glacial.
In our study, ericaceous fynbos-like vegetation (E-Heathland) was found for
those parts of the glacials having lower (less than <inline-formula><mml:math id="M171" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">220</mml:mn></mml:mrow></mml:math></inline-formula> ppmv) atmospheric
<inline-formula><mml:math id="M172" display="inline"><mml:mrow class="chem"><mml:mi>p</mml:mi><mml:msub><mml:mi mathvariant="normal">CO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> (Fig. 5). Exceptions were found for MIS 12 and
14 when the difference of <inline-formula><mml:math id="M173" display="inline"><mml:mrow class="chem"><mml:mi>p</mml:mi><mml:msub><mml:mi mathvariant="normal">CO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> with that of the preceding stage was
small (Bereiter et al., 2015). Dupont et al. (2011a) argued that increase of
C<inline-formula><mml:math id="M174" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> vegetation as the result of low <inline-formula><mml:math id="M175" display="inline"><mml:mrow class="chem"><mml:mi>p</mml:mi><mml:msub><mml:mi mathvariant="normal">CO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> was unlikely because no
extension of grasses was recorded. However, this argument is flawed if
sedges dominantly constituted the C<inline-formula><mml:math id="M176" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> vegetation in the area. We also note
that in many parts of South Africa, no substantial increase of C<inline-formula><mml:math id="M177" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> grasses
occurred but that many sites suggest an expansion of C<inline-formula><mml:math id="M178" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> grasses during the
Last Glacial Maximum (Scott, 2002).</p>
      <p id="d1e2882">As climate was wetter during most of the glacials in this part of the world,
the question arises about the climatic implication of the ericaceous
fynbos-like vegetation (represented by E-Heathland, Fig. 5) extending
during full glacials over the mountains of South Africa – and correlating
with the SST record (see also the correlation between SST and EM2 in Dupont
et al., 2011a). The correlation with SST, however, is problematic. Singarayer
and Burrough (2015) argued that the control of the Indian Ocean SSTs on the
precipitation of South Africa shifted from a positive correlation during the
interglacial to a negative correlation during the Last Glacial Maximum. They
invoked the effects of the exposure of the Sunda Shelf (Indonesia) and Sahul
Shelf (Australia) on the Walker circulation causing a wetter region over the
western Indian Ocean but also weaker easterly winds to transport moisture
inland. To question the link between SST and precipitation in SE Africa even
further, Caley et al. (2018a) found that the precession signature in the
river discharge proxy (ln(<inline-formula><mml:math id="M179" display="inline"><mml:mrow class="chem"><mml:mi mathvariant="normal">Fe</mml:mi><mml:mo>/</mml:mo><mml:mi mathvariant="normal">Ca</mml:mi></mml:mrow></mml:math></inline-formula>); see also Fig. S1 in the Supplement) was
absent in the SST record from the same core. SE Africa would have been more
humid during glacials when the temperature difference between land and sea
increased.</p>
      <p id="d1e2897">The increase in C<inline-formula><mml:math id="M180" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> vegetation during relative cool and humid climate would
be in conflict with the idea that C<inline-formula><mml:math id="M181" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> plants are more competitive in hot and
dry climates (Ehleringer et al., 1997; Sage, 2004). However, this idea is
mainly based on the ecology of grasses and the development of savannahs,
while the C<inline-formula><mml:math id="M182" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> vegetation expansion in SE Africa during cool and humid phases
seems to be driven by sedges. A survey of the distribution of C<inline-formula><mml:math id="M183" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> sedges in
South Africa revealed that those Cyperaceae do not have the same temperature
constraints as C<inline-formula><mml:math id="M184" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> grass species (Stock et al., 2004). More important, South
African C<inline-formula><mml:math id="M185" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> sedges appear to have evolved under wetland conditions rather
than under aridity. C<inline-formula><mml:math id="M186" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> <italic>Cyperus</italic> species even occur in the wettest parts of
lower-altitude wetlands in KwaZulu-Natal (Kotze and O'Conner, 2000).</p>
</sec>
</sec>
<sec id="Ch1.S4" sec-type="conclusions">
  <label>4</label><title>Conclusions</title>
      <p id="d1e2977">Palynology in combination with sediment chemistry and carbon isotope
analysis of leaf waxes carried out on the marine sediments of MD96-2048
retrieved from the Limpopo River cone in the Delagoa Bight (SE Africa)
allowed a detailed reconstruction of the biome developments over the Brunhes
Chron and comparison with earlier Pleistocene vegetation of SE Africa.</p>
      <p id="d1e2980">Using endmember modelling, we could distinguish four pollen assemblages:
E-Heathland, E-Mountain-Forest, E-Shrubland and E-Woodland. The open sedge-rich
and ericaceous vegetation represented by E-Heathland occurred during those
parts of the glacials with lower temperatures and atmospheric <inline-formula><mml:math id="M187" display="inline"><mml:mrow class="chem"><mml:mi>p</mml:mi><mml:msub><mml:mi mathvariant="normal">CO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>.
<italic>Podocarpus</italic>-rich mountain forest represented by E-Mountain-Forest extended during the
less extreme parts of the glacials. E-Shrubland represents a shrublike
vegetation with coastal elements and <italic>Buxus</italic> species and mainly occurred during the
earlier Pleistocene (before 1 Ma). E-Woodland represents interglacial
woodlands, Miombo woodland in particular, becoming more and more important
in the successive interglacial stages of the Brunhes Chron and dominated the
post-MBE interglacials.</p>
      <?pagebreak page1094?><p id="d1e3002">Our results indicate the influence of atmospheric <inline-formula><mml:math id="M188" display="inline"><mml:mrow class="chem"><mml:mi>p</mml:mi><mml:msub><mml:mi mathvariant="normal">CO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> fluctuations on
the shaping of the biomes in SE Africa during the Brunhes Chron. We argue
that (1) the precessional rhythms of river discharge compared to the
interglacial–glacial biome variability indicate that hydroclimate cannot be
the only driver of vegetation change. The other options of forcing
mechanisms on interglacial–glacial timescales are temperature and
<inline-formula><mml:math id="M189" display="inline"><mml:mrow class="chem"><mml:mi>p</mml:mi><mml:msub><mml:mi mathvariant="normal">CO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>. (2) Because of the correlation between Cyperaceae pollen
percentages and <inline-formula><mml:math id="M190" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">13</mml:mn></mml:msup><mml:msub><mml:mi mathvariant="normal">C</mml:mi><mml:mi mathvariant="normal">wax</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> and the lack of correlation
between Poaceae percentages and <inline-formula><mml:math id="M191" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">13</mml:mn></mml:msup><mml:msub><mml:mi mathvariant="normal">C</mml:mi><mml:mi mathvariant="normal">wax</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> in combination
with the relatively low grass pollen percentages, we deduce that the C<inline-formula><mml:math id="M192" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula>
plant imprint mainly derives from the sedges. (3) The expansion of C<inline-formula><mml:math id="M193" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> sedges
during the colder periods of the glacials is unlikely to result from lower
temperatures. Thus, during the colder phases of the glacials, low
atmospheric <inline-formula><mml:math id="M194" display="inline"><mml:mrow class="chem"><mml:mi>p</mml:mi><mml:msub><mml:mi mathvariant="normal">CO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> might have favoured the expansion of C<inline-formula><mml:math id="M195" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> sedges. (4) The
expansion of mountain forest during the glacial periods with moderate
temperatures and moderate <inline-formula><mml:math id="M196" display="inline"><mml:mrow class="chem"><mml:mi>p</mml:mi><mml:msub><mml:mi mathvariant="normal">CO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>, and the lack of extension into the
lowlands of mountain forest during the colder periods, suggests that low
<inline-formula><mml:math id="M197" display="inline"><mml:mrow class="chem"><mml:mi>p</mml:mi><mml:msub><mml:mi mathvariant="normal">CO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> became restrictive to the forest. Mountain forests could thrive
during glacials as long as <inline-formula><mml:math id="M198" display="inline"><mml:mrow class="chem"><mml:mi>p</mml:mi><mml:msub><mml:mi mathvariant="normal">CO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> levels exceeded <inline-formula><mml:math id="M199" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">220</mml:mn></mml:mrow></mml:math></inline-formula> ppmv.
(5) Based on the elemental composition as a proxy for river discharge
[ln(<inline-formula><mml:math id="M200" display="inline"><mml:mrow class="chem"><mml:mi mathvariant="normal">Fe</mml:mi><mml:mo>/</mml:mo><mml:mi mathvariant="normal">Ca</mml:mi></mml:mrow></mml:math></inline-formula>)], we recognize the post-MBE interglacials as the drier intervals
of the sequence. Nevertheless, woodland extended during those periods, which
we attribute to increased temperatures and <inline-formula><mml:math id="M201" display="inline"><mml:mrow class="chem"><mml:mi>p</mml:mi><mml:msub><mml:mi mathvariant="normal">CO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>. Atmospheric
<inline-formula><mml:math id="M202" display="inline"><mml:mrow class="chem"><mml:mi>p</mml:mi><mml:msub><mml:mi mathvariant="normal">CO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> levels over 250 ppmv might have been a prerequisite for the expansion of
the Miombo woodlands into SE Africa during the post-MBE
interglacials.</p>
      <p id="d1e3192">The vegetation record of the Limpopo catchment area shows a greater impact
of glacial–interglacial variability, mainly driven by <inline-formula><mml:math id="M203" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">CO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> fluctuations,
and less influence of hydroclimate compared to the more equatorial records
of Lake Malawi and Lake Magadi. The long-term trend of increased woodiness
in the course of the Brunhes Chron paralleled that of Lake Malawi but
contrasted Lake Magadi, suggesting a long-term southward shift in the
average position of the tropical rain belt.</p>
</sec>

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

      <p id="d1e3210">Data are archived on PANGAEA; <ext-link xlink:href="https://doi.org/10.1594/PANGAEA.771285" ext-link-type="DOI">10.1594/PANGAEA.771285</ext-link> (Dupont et al., 2011b) and <ext-link xlink:href="https://doi.org/10.1594/PANGAEA.897922" ext-link-type="DOI">10.1594/PANGAEA.897922</ext-link> (Dupont et al., 2019).</p>
  </notes><app-group>
        <supplementary-material position="anchor"><p id="d1e3219">The supplement related to this article is available online at: <inline-supplementary-material xlink:href="https://doi.org/10.5194/cp-15-1083-2019-supplement" xlink:title="zip">https://doi.org/10.5194/cp-15-1083-2019-supplement</inline-supplementary-material>.</p></supplementary-material>
        </app-group><notes notes-type="authorcontribution"><title>Author contributions</title>

      <p id="d1e3228">LMD carried out the palynological analysis and conceptualised and wrote the paper, TC carried out the sedimentology and stratigraphy and contributed to the discussion, ISC conducted the stable isotope analysis on plant waxes and contributed to the discussion.</p>
  </notes><notes notes-type="competinginterests"><title>Competing interests</title>

      <p id="d1e3234">The authors declare that they have no conflict of interest.</p>
  </notes><ack><title>Acknowledgements</title><p id="d1e3240">David Heslop is thanked for providing the endmember model in
a MATLAB application.  We thank two anonymous reviewers for their constructive comments that strongly improved the paper.</p></ack><notes notes-type="financialsupport"><title>Financial support</title>

      <p id="d1e3245">This project was funded through DFG – Research Center/Cluster of Excellence “The Ocean in the Earth System”. Thibaut Caley is supported by CNRS-INSU. Funding from LEFE IMAGO CNRS INSU project SeaSalt is acknowledged.<?xmltex \hack{\newline}?><?xmltex \hack{\newline}?>The article processing charges for this open-access publication were covered by the University of Bremen.</p>
  </notes><notes notes-type="reviewstatement"><title>Review statement</title>

      <p id="d1e3254">This paper was edited by Nathalie Combourieu Nebout and reviewed by two anonymous referees.</p>
  </notes><ref-list>
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    <!--<article-title-html>Effects of atmospheric CO<sub>2</sub> variability of the past 800&thinsp;kyr on the biomes of southeast Africa</article-title-html>
<abstract-html><p>Very little is known about the impact of atmospheric
carbon dioxide pressure (<i>p</i>CO<sub>2</sub>) on the shaping of biomes. The development
of <i>p</i>CO<sub>2</sub> throughout the Brunhes Chron may be considered a natural
experiment to elucidate relationships between vegetation and <i>p</i>CO<sub>2</sub>. While
the glacial periods show low to very low values ( ∼ 220 to
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interglacial periods vary from intermediate to relatively high
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of <i>p</i>CO<sub>2</sub> on the Pleistocene development of SE African vegetation, we used
the pollen record of a marine core (MD96-2048) retrieved from Delagoa Bight
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geochemical proxies. Applying endmember analysis, four pollen assemblages
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forest, shrubland and woodland. We find that the vegetation of the Limpopo
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influenced not only by hydroclimate but also by temperature and atmospheric
<i>p</i>CO<sub>2</sub>. Our results suggest that the extension of mountain forest occurred
during those parts of the glacials when <i>p</i>CO<sub>2</sub> and temperatures were
moderate and that only during the colder periods when atmospheric
<i>p</i>CO<sub>2</sub> was low (less than 220&thinsp;ppmv) open ericaceous vegetation including
C<sub>4</sub> sedges extended. The main development of woodlands in the area took place
after the Mid-Brunhes Event ( ∼ 430&thinsp;ka) when interglacial
<i>p</i>CO<sub>2</sub> levels regularly rose over 270&thinsp;ppmv.</p></abstract-html>
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