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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" dtd-version="3.0"><?xmltex \makeatother\@nolinetrue\makeatletter?>
  <front>
    <journal-meta>
<journal-id journal-id-type="publisher">BG</journal-id>
<journal-title-group>
<journal-title>Biogeosciences</journal-title>
<abbrev-journal-title abbrev-type="publisher">BG</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">Biogeosciences</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1726-4189</issn>
<publisher><publisher-name>Copernicus Publications</publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>

    <article-meta>
      <article-id pub-id-type="doi">10.5194/bg-14-4577-2017</article-id><title-group><article-title>Coccolithophore fluxes in the open tropical North Atlantic:
influence of thermocline depth, Amazon water, and Saharan dust</article-title>
      </title-group><?xmltex \runningtitle{Coccolithophore fluxes in the open tropical North
Atlantic}?><?xmltex \runningauthor{C.~V.~Guerreiro et~al.}?>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes" rid="aff1 aff6">
          <name><surname>Guerreiro</surname><given-names>Catarina V.</given-names></name>
          <email>catarina.guerreiro@uni-bremen.de</email>
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1 aff2">
          <name><surname>Baumann</surname><given-names>Karl-Heinz</given-names></name>
          
        <ext-link>https://orcid.org/0000-0003-2109-5179</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff3 aff4">
          <name><surname>Brummer</surname><given-names>Geert-Jan A.</given-names></name>
          
        <ext-link>https://orcid.org/0000-0003-4145-1281</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1 aff2">
          <name><surname>Fischer</surname><given-names>Gerhard</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff3">
          <name><surname>Korte</surname><given-names>Laura F.</given-names></name>
          
        <ext-link>https://orcid.org/0000-0001-7804-0481</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1 aff2">
          <name><surname>Merkel</surname><given-names>Ute</given-names></name>
          
        <ext-link>https://orcid.org/0000-0001-9851-0575</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff5 aff6">
          <name><surname>Sá</surname><given-names>Carolina</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff3">
          <name><surname>de Stigter</surname><given-names>Henko</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2 aff3">
          <name><surname>Stuut</surname><given-names>Jan-Berend W.</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-5348-2512</ext-link></contrib>
        <aff id="aff1"><label>1</label><institution>University of Bremen, Geosciences Department, Klagenfurter
Str., 28359 Bremen, Germany</institution>
        </aff>
        <aff id="aff2"><label>2</label><institution>MARUM – Center for Marine Environmental Sciences, University of Bremen, Leobener Str. 8, 28359 Bremen, Germany</institution>
        </aff>
        <aff id="aff3"><label>3</label><institution>NIOZ Royal Netherlands Institute for Sea Research,
Department of Ocean Systems, Den Burg 1790 AB, and Utrecht University, the Netherlands</institution>
        </aff>
        <aff id="aff4"><label>4</label><institution>VU University, Earth and Climate Cluster, Department of
Earth Sciences, Faculty of Earth and Life Sciences, <?xmltex \hack{\newline}?>De Boelelaan
1085 1081 HV Amsterdam, the Netherlands</institution>
        </aff>
        <aff id="aff5"><label>5</label><institution>MARE Marine and Environmental Science Centre, Faculdade de
Ciências da Universidade de Lisboa, Campo Grande, 1749-016
Lisbon, Portugal</institution>
        </aff>
        <aff id="aff6"><label>6</label><institution>CIMA, Centre for Marine and Environmental Research, Universidade do Algarve, 8005-139 Faro, Portugal</institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">Catarina V. Guerreiro (catarina.guerreiro@uni-bremen.de)</corresp></author-notes><pub-date><day>17</day><month>October</month><year>2017</year></pub-date>
      
      <volume>14</volume>
      <issue>20</issue>
      <fpage>4577</fpage><lpage>4599</lpage>
      <history>
        <date date-type="received"><day>29</day><month>May</month><year>2017</year></date>
           <date date-type="accepted"><day>8</day><month>September</month><year>2017</year></date>
           <date date-type="rev-recd"><day>7</day><month>September</month><year>2017</year></date>
           <date date-type="rev-request"><day>14</day><month>June</month><year>2017</year></date>
      </history>
      <permissions>
<license license-type="open-access">
<license-p>This work is licensed under the Creative Commons Attribution 3.0 Unported License. To view a copy of this licence, visit <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/3.0/">https://creativecommons.org/licenses/by/3.0/</ext-link></license-p>
</license>
</permissions><self-uri xlink:href="https://bg.copernicus.org/articles/14/4577/2017/bg-14-4577-2017.html">This article is available from https://bg.copernicus.org/articles/14/4577/2017/bg-14-4577-2017.html</self-uri>
<self-uri xlink:href="https://bg.copernicus.org/articles/14/4577/2017/bg-14-4577-2017.pdf">The full text article is available as a PDF file from https://bg.copernicus.org/articles/14/4577/2017/bg-14-4577-2017.pdf</self-uri>


      <abstract>
    <p>Coccolithophores are calcifying phytoplankton and major contributors
to both the organic and inorganic oceanic carbon pumps. Their export
fluxes, species composition, and seasonal patterns were determined in
two sediment trap moorings (M4 at 12<inline-formula><mml:math id="M1" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, 49<inline-formula><mml:math id="M2" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W and
M2 at 14<inline-formula><mml:math id="M3" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, 37<inline-formula><mml:math id="M4" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W) collecting settling particles
synchronously from October 2012 to November 2013 at 1200 <inline-formula><mml:math id="M5" display="inline"><mml:mi mathvariant="normal">m</mml:mi></mml:math></inline-formula>
of water depth in the open equatorial North Atlantic.</p>
    <p>The two trap locations showed a similar seasonal pattern in total
coccolith export fluxes and a predominantly tropical coccolithophore
settling assemblage. Species fluxes were dominated throughout the
year by lower photic zone (LPZ) taxa (<italic>Florisphaera profunda</italic>, <italic>Gladiolithus flabellatus</italic>) but also included
upper photic zone (UPZ) taxa (<italic>Umbellosphaera</italic> spp.,
<italic>Rhabdosphaera</italic> spp., <italic>Umbilicosphaera</italic> spp.,
<italic>Helicosphaera</italic> spp.). The LPZ flora was most abundant during
fall 2012, whereas the UPZ flora was more important during
summer. In spite of these similarities, the western part of the
study area produced persistently higher fluxes, averaging <inline-formula><mml:math id="M6" display="inline"><mml:mrow><mml:mn mathvariant="normal">241</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mn mathvariant="normal">7</mml:mn></mml:msup><mml:mo>±</mml:mo><mml:mn mathvariant="normal">76</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mn mathvariant="normal">7</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula> coccoliths <inline-formula><mml:math id="M7" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="normal">m</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">d</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> at station M4 compared to
only <inline-formula><mml:math id="M8" display="inline"><mml:mrow><mml:mn mathvariant="normal">66</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mn mathvariant="normal">7</mml:mn></mml:msup><mml:mo>±</mml:mo><mml:mn mathvariant="normal">31</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mn mathvariant="normal">7</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula> coccoliths <inline-formula><mml:math id="M9" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="normal">m</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">d</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> at station M2. Higher fluxes
at M4 were mainly produced by the LPZ species, favoured by the
westward deepening of the thermocline and nutricline. Still, most
UPZ species also contributed to higher fluxes, reflecting enhanced
productivity in the western equatorial North Atlantic. Such was the
case of two marked flux peaks of the more opportunistic species
<italic>Gephyrocapsa muellerae</italic> and <italic>Emiliania huxleyi</italic> in
January and April 2013 at M4, indicating a fast response to
the nutrient enrichment of the UPZ, probably by wind-forced
mixing. Later, increased fluxes of <italic>G. oceanica</italic> and
<italic>E. huxleyi</italic> in October–November 2013 coincided with the
occurrence of Amazon-River-affected surface waters. Since the spring
and fall events of 2013 were also accompanied by two dust flux peaks,
we propose a scenario in which atmospheric dust also provided
fertilizing nutrients to this area. Enhanced surface buoyancy
associated with the river plume indicates that the Amazon acted not
only as a nutrient source, but also as a surface density retainer
for nutrients supplied from the atmosphere. Nevertheless, lower
total coccolith fluxes during these events compared to the maxima
recorded in November 2012 and July 2013 indicate that transient
productivity by opportunistic species was less important than
“background” tropical productivity in the equatorial North
Atlantic. This study illustrates how two apparently similar sites in
the tropical open ocean actually differ greatly in ecological and
oceanographic terms. The results presented here provide valuable
insights into the processes governing the ecological dynamics and
the downward export of coccolithophores in the tropical North
Atlantic.</p>
  </abstract>
    </article-meta>
  </front>
<body>
      

<sec id="Ch1.S1" sec-type="intro">
  <title>Introduction</title>
      <p>The centres of subtropical gyres and tropical open-ocean regions are marked
by nearly permanently stratified waters, which result in nutrient depletion
at the surface and low primary production, particularly at the surface during
most of the year (see Mann and Lazier, 2006). With the exception of
equatorial upwelling areas where the renewal of nutrients in the mixed layer
results from the upward advection of nutrient-rich deeper water, algal blooms
in subtropical gyres and tropical oceans are highly dependent on the seasonal
dynamics of the mixed layer depth, the latter changing as a geostrophic
response to the wind field and the curl of the wind stress (e.g. Longhurst
et al., 1995). Basin-scale thermocline tilting, mesoscale eddies, and
vertical mixing due to wind forcing and winter cooling are recognized as the
main mechanisms responsible for bringing nutrients to the upper photic layer
and promoting algal blooms in tropical and subtropical areas (e.g. Longhurst,
1993; Dufois et al., 2016). In addition, millions of tons of Saharan dust
blown over and into the Atlantic Ocean every year are also thought to act as
major nutrient suppliers to the nutrient-depleted equatorial North Atlantic
(see Goudie and Middleton, 2001 and refs. therein; Okin et al., 2011). The
fertilizing potential of Saharan dust is supported by previous studies in the
Amazon Basin (Mahowald et al., 2008, 2009; Bristow et al., 2010), the Gulf of
Mexico and the coast of southern Florida (Walsh et al., 2006; Lenes et al.,
2012), and the North Atlantic subtropical gyre (Pabortsava et al., 2017). In
addition to Saharan dust inputs, <inline-formula><mml:math id="M10" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">N</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> fixation by marine diazotrophs
(Carpenter et al., 1999) and the seasonal discharge and eastward advection of
the nutrient-enriched Amazon River Plume (e.g. De Master et al., 1986) are
additional nutrient sources for marine phytoplankton in the tropical
Atlantic.</p>
      <p>Despite relatively low primary production rates, tropical oceans play
an important role in the global carbon cycle because of their large
surface area (e.g. Wang et al., 2013; Signorini and McClain, 2012;
Longhurst, 1993).  How these oceanographic and atmospheric processes
are linked to phytoplankton productivity on seasonal to annual
timescales in the tropics, however, remains poorly understood. As
longer-term phytoplankton sampling in the vast and remote open ocean
is rather costly, most of the available studies are based on data from
snapshots taken during research cruises or remote-sensing
estimates that only cover the phytoplankton biomass at the surface of
the photic layer. Time-series sediment traps collecting settling
particles (organic and inorganic) from phytoplankton export
productivity over longer periods of time (from weeks to years) offer
a good alternative to plankton studies for assessing the seasonal
variation of marine phytoplankton and the relative proportion of
individual species or groups of species in the open ocean
(e.g. Milliman, 1993; Baumann et al., 2005).</p>
      <p>Coccolithophores, being at the same time photosynthetic and
calcifying, are major contributors to the organic and inorganic
oceanic carbon pumps (e.g.  Rost and Riebesell, 2004). Due to their
ability to cover their cells with tiny calcite plates (the
coccoliths), coccolithophores can be studied in time series samples
collected by deep-ocean sediment traps (e.g. Broerse et al., 2000;
Sprengel et al., 2002; Ziveri et al., 1995; Köbrich et al., 2015),
thus providing insight into the seasonal to inter-annual dynamics of
open-ocean phytoplankton. Coccolithophores are amongst the most
important phytoplankton groups within open-ocean,
stratified oligotrophic waters (e.g.  Winter et al., 1994), hence
displaying features more typical of <inline-formula><mml:math id="M11" display="inline"><mml:mi>K</mml:mi></mml:math></inline-formula>-selected taxa (Margalef,
1978). These so-called “<inline-formula><mml:math id="M12" display="inline"><mml:mi>K</mml:mi></mml:math></inline-formula>-selected” taxa are typically better
adapted to compete successfully for limited nutrient availability in
more stable environments, such as tropical regions and subtropical
gyres, within populations that are at or near equilibrium conditions
for long periods of time (<inline-formula><mml:math id="M13" display="inline"><mml:mi>K</mml:mi></mml:math></inline-formula>; see Margalef, 1978). Still,
coccolithophores also include more opportunistic taxa, so-called
“<inline-formula><mml:math id="M14" display="inline"><mml:mi>r</mml:mi></mml:math></inline-formula>-selected”, that quickly respond to short-term changes associated
with nutrient input (e.g. Guerreiro et al., 2013). The latter are
characterized by living in highly variable populations (for <inline-formula><mml:math id="M15" display="inline"><mml:mi>r</mml:mi></mml:math></inline-formula>) and
being well adapted to rapidly reproducing in unstable and
nutrient-enriched conditions, such as turbulent coastal
environments. Sediment trap studies using this group are based on the
assumption that the settling of coccoliths in open-ocean areas is
primarily related to the production occurring in the overlying photic
layer (see Deuser et al., 1981; Honjo, 1982; Steinmetz, 1994; Beaufort
and Heussner, 2001), allowing for the assessment of the export fluxes and seasonal
trends of distinct coccolithophore species during longer periods than
most plankton studies (Baumann et al., 2005).</p>
      <p>Although a significant amount of sediment trap data on
coccolithophores fluxes exists for the open ocean (e.g. Knappertsbusch
and Brummer, 1995; Broerse et al., 2000) and for regions near
continental margins and islands (Beaufort and Heussner, 2001; Romero
et al., 2002; Köbrich et al., 2015; Sprengel et al., 2002) at
subtropical and temperate latitudes in the Atlantic, there is no
information available on the export and seasonal patterns of
coccolithophores in the equatorial Atlantic region. Previous studies
by Kinkel et al. (2000) and Winter et al. (2002) focusing on the
living coccolithophore communities in the tropical Atlantic have
reported <italic>Florisphaera profunda</italic> as the dominant species in the
lower photic zone (LPZ) and <italic>Emiliania huxleyi</italic> as the dominant
species in the upper photic zone (UPZ) close to the equatorial
upwelling and in the western Caribbean Sea, whereas
<italic>Umbellosphaera</italic> spp. were most abundant in the UPZ of more
open-ocean oligotrophic areas. Further north, in the subtropics of
offshore Bermuda, Haidar and Thierstein (2001) studied the
relationship between the seasonal coccolithophore dynamics and several
environmental parameters, including light, dissolved nutrients,
salinity, and temperature, over a period of 3 years. The results
showed that living coccolithophores display pronounced seasonal and
inter-annual variability, with the highest standing stocks from winter to
spring and the lowest during summer. <italic>E. huxleyi</italic> was the dominant
species at the surface during spring, whereas the LPZ species
<italic>F. profunda</italic> and <italic>Gladiolithus flabellatus</italic>
(referred to by these authors as <italic>Thoracosphaera flabellata</italic>)
were most common below the surface during fall. During maximum
stratification conditions in summer and fall, <italic>Umbellosphaera</italic>
spp. increase in abundance in the top 75 <inline-formula><mml:math id="M16" display="inline"><mml:mi mathvariant="normal">m</mml:mi></mml:math></inline-formula> of water depth but
in much lower cell densities than <italic>E. huxleyi</italic> or
<italic>F. profunda</italic>. Several of these previous observations were
confirmed by Poulton et al. (2017), who defined three floral depth
groups in the subtropical gyres and equatorial waters of the Atlantic
Ocean: (1) an upper euphotic zone flora characterized by high levels
of surface radiance and high cell densities of <italic>Umbellosphaera</italic>
spp. and holococcolithophores; (2) a lower euphotic zone flora
characterized by intermediate to low surface radiance levels and high
cell densities of <italic>E. huxleyi</italic> and <italic>Gephyrocapsa ericsonii</italic>; and (3) a sub-euphotic zone flora characterized by high
cell densities of <italic>F. profunda</italic> and <italic>Gladiolithus</italic>
spp. thriving below the depth at which light is considered sufficient to
support photosynthesis, probably by mechanisms of mixotrophy and/or
phagotrophy. Therefore, more insight into the ecological preferences
and environmental needs of coccolithophores can be expected
from a clear distinction between the distribution and abundance of UPZ
and LPZ taxa.</p>
      <p>Here, we present new data on the coccolithophore export fluxes,
seasonal patterns, and species composition from the open equatorial
North Atlantic to investigate the environmental factors triggering
phytoplankton productivity, including Saharan dust deposition and the
discharge and eastward dispersion of the Amazon River water. To assess
the spatio-temporal variability of these processes, we (a) compare
results from two sediment trap moorings, M2 and M4, located in the
central and western parts of the equatorial North Atlantic,
respectively, and (b) relate coccolithophore data with environmental
time series data obtained from satellite remote sensing for the
sediment trap sampling period and with particle flux data collected
from the same sediment traps and recently published by Korte
et al. (2017).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F1" specific-use="star"><caption><p>Location of the trap mooring sites M4 and M2 and a schematic
representation of <bold>(a)</bold> the main surface currents in the
equatorial Atlantic Ocean, with the inset showing the seasonal eastward
retroflection of the North Brazilian Current (NBC) during boreal
summer (adapted from Mann and Lazier, 2006). <bold>(b)</bold> The
main water masses present in the study area (TWS – tropical surface
water; SACW – South Atlantic Central Water; AAIW – Antarctic
Intermediate Water; NADW – North Atlantic Deep Water) based on
water depths reported by Emery and Meincke (1986), Reid (1994), and
Stramma and Schott (1999) and on water temperature profiles
performed along a transatlantic array (12<inline-formula><mml:math id="M17" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N) from
12 January and 2 February 2015 on-board RV <italic>Pelagia</italic>
(cruise PE395; Stuut et al., 2015).</p></caption>
        <?xmltex \igopts{width=500.768504pt}?><graphic xlink:href="https://bg.copernicus.org/articles/14/4577/2017/bg-14-4577-2017-f01.png"/>

      </fig>

</sec>
<sec id="Ch1.S2">
  <title>Oceanographic and meteorological settings</title>
      <p>Surface water circulation in the study area, involving tropical
surface water (TSW) and the South Atlantic Central Water (SACW), is
mostly driven by the north-easterly trade winds responsible for
generating the westward-flowing North Equatorial Current (NEC) between
approximately 10  and 20<inline-formula><mml:math id="M18" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N (Fig. 1). South of the NEC is the North Equatorial Counter
Current (NECC) flowing in the eastward direction counter to the wind
(Stramma and Schott, 1999). Both currents are subjected to the
latitudinal migration of the Intertropical Convergence Zone (ITCZ)
between approximately 5<inline-formula><mml:math id="M19" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S and 12<inline-formula><mml:math id="M20" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N depending on
the season (Basha et al., 2015). During boreal summer when the ITCZ
is at its northernmost position, the SE trade winds intensify along
the Equator, even penetrating into the Northern Hemisphere and
intensifying the surface circulation. Between summer and late fall,
the NECC flows along an equatorial band centred between 5
and 8<inline-formula><mml:math id="M21" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N (Longhurst, 1993; Garzoli and Katz, 1983). During
the same period an important part of the northward-flowing North
Brazilian Current (NBC) is retroflected off the South American
north-eastern margin towards the east into the western tropical North
Atlantic after crossing the Equator (approximately at 8<inline-formula><mml:math id="M22" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N
and 50<inline-formula><mml:math id="M23" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W; Philander, 2001), feeding into the NECC
(Richardson and Walsh, 1986), and often expanding northward through
the shedding of anticyclonic eddies drifting in the NW direction (Schott
et al., 1998; Fig. 1). During boreal winter, the southward migration
of the ITCZ causes the weakening of the trade winds along the Equator
and the concomitant disappearance of the NECC in the western part of
the equatorial region. This results in a generally westward-flowing
circulation in the equatorial North Atlantic north of the Equator west
of 25<inline-formula><mml:math id="M24" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W (Stramma and Schott, 1999). At the same time, the
NBC ceases to retroflect but rather continues to flow north-westward
along the continental slope off the coast of South America (Johns
et al., 1998; Lux et al., 2001; Philander, 2001). This is the period
of maximum northward transport of heat across the Equator (Philander,
2001), for which the NBC is the main pathway (Goni and Johns, 2001).</p>
      <p>The western equatorial North Atlantic where station M4 was located is
also seasonally influenced by the Amazon River, the world's largest
river with respect to freshwater discharge into the open ocean (Mann
and Lanzier, 2006). From August to December, when the retroflection of
the NBC carries the river plume eastward in the uppermost <inline-formula><mml:math id="M25" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">50</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M26" display="inline"><mml:mi mathvariant="normal">m</mml:mi></mml:math></inline-formula> of the water column, large amounts of nutrients (Boyle
et al., 1977; Sholkovitz et al., 1978; De Master et al., 1986) are
entrained into the NECC far into the central equatorial North Atlantic
(Muller-Karger et al., 1988; Molleri et al., 2010; Ffield, 2005; Fig. 1). From August to October, the Amazon Plume was observed to
reach speeds of <inline-formula><mml:math id="M27" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">90</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M28" display="inline"><mml:mrow><mml:mi mathvariant="normal">cm</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">s</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> near 45<inline-formula><mml:math id="M29" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W with
a gradual slowdown to 30 <inline-formula><mml:math id="M30" display="inline"><mml:mrow><mml:mi mathvariant="normal">cm</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">s</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> while moving
eastward. Near the African continent, a part of it continued into the
Guinea Current, while another part moved northward into the NEC and
then westward (e.g. Muller-Karger et al., 1988; Molleri et al.,
2010).</p>
      <p>The upper water masses in the study area, including the mixed layer,
consist mostly of the warm, salty, and nutrient-depleted TSW in the
upper <inline-formula><mml:math id="M31" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">100</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M32" display="inline"><mml:mi mathvariant="normal">m</mml:mi></mml:math></inline-formula> (temperature – <inline-formula><mml:math id="M33" display="inline"><mml:mi>T</mml:mi></mml:math></inline-formula>: <inline-formula><mml:math id="M34" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">27</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M35" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C,
salinity – <inline-formula><mml:math id="M36" display="inline"><mml:mi>S</mml:mi></mml:math></inline-formula>: 36.7–37) and the cooler, less salty, and relatively
nutrient-enriched South Atlantic Central Water (SACW) at depths down
to <inline-formula><mml:math id="M37" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">500</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M38" display="inline"><mml:mi mathvariant="normal">m</mml:mi></mml:math></inline-formula> (<inline-formula><mml:math id="M39" display="inline"><mml:mi>T</mml:mi></mml:math></inline-formula>: 6.0–18 <inline-formula><mml:math id="M40" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C, <inline-formula><mml:math id="M41" display="inline"><mml:mi>S</mml:mi></mml:math></inline-formula>: 34.3–35.8).
Further down to 1200 <inline-formula><mml:math id="M42" display="inline"><mml:mi mathvariant="normal">m</mml:mi></mml:math></inline-formula> of water depth the Antarctic Intermediate
Water (AAIW) is characterized by a subsurface oxygen maximum and
a salinity minimum (<inline-formula><mml:math id="M43" display="inline"><mml:mi>T</mml:mi></mml:math></inline-formula>: 2–6 <inline-formula><mml:math id="M44" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C, <inline-formula><mml:math id="M45" display="inline"><mml:mi>S</mml:mi></mml:math></inline-formula>: 33.8–34.8; Emery and
Meincke, 1986; Reid, 1994; Stramma and Schott, 1999). Below the AAIW
is the cold North Atlantic Deep Water (NADW) flowing southward between
1200 and 4000 <inline-formula><mml:math id="M46" display="inline"><mml:mi mathvariant="normal">m</mml:mi></mml:math></inline-formula> (Stramma and Schott, 1999; see Fig. 1b)</p>
</sec>
<sec id="Ch1.S3">
  <title>Material and methods</title>
<sec id="Ch1.S3.SS1">
  <title>Sediment trap sampling</title>
      <p>Two sediment traps at sites M2 (14<inline-formula><mml:math id="M47" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, 37<inline-formula><mml:math id="M48" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W) and M4
(12<inline-formula><mml:math id="M49" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, 49<inline-formula><mml:math id="M50" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W) collected sinking particles in
synchronous intervals of 16 days from 19 October 2012 to
7 November 2013 in the central and western equatorial North Atlantic,
respectively (Fig. 1, Table 1). Details of the mooring equipment, the
deployment and recovery of the sediment traps, and the treatment of the
recovered sample bottles are described in Stuut et al. (2013).</p>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T1" specific-use="star"><caption><p>Background information regarding the DUSTTRAFFIC sediment
trap moorings (M4 and M2) used in this study.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="3">
     <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:thead>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1">Mooring station</oasis:entry>  
         <oasis:entry colname="col2">M4</oasis:entry>  
         <oasis:entry colname="col3">M2</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>  
         <oasis:entry colname="col1">Position</oasis:entry>  
         <oasis:entry colname="col2">12<inline-formula><mml:math id="M51" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N 49<inline-formula><mml:math id="M52" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W</oasis:entry>  
         <oasis:entry colname="col3">14<inline-formula><mml:math id="M53" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N 37<inline-formula><mml:math id="M54" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Trap depth (m)</oasis:entry>  
         <oasis:entry colname="col2">1130</oasis:entry>  
         <oasis:entry colname="col3">1235</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Bottom depth (m)</oasis:entry>  
         <oasis:entry colname="col2">4670</oasis:entry>  
         <oasis:entry colname="col3">4790</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Sampling period</oasis:entry>  
         <oasis:entry colname="col2">19 Oct 2012–7 Nov 2013</oasis:entry>  
         <oasis:entry colname="col3">19 Oct 2012–7 Nov 2013</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Number of studied samples</oasis:entry>  
         <oasis:entry colname="col2">23</oasis:entry>  
         <oasis:entry colname="col3">23</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Sampling resolution (days)</oasis:entry>  
         <oasis:entry colname="col2">16</oasis:entry>  
         <oasis:entry colname="col3">16</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

<?xmltex \hack{\newpage}?>
</sec>
<sec id="Ch1.S3.SS2">
  <title>Laboratory and microscope analysis</title>
      <p>Sediment trap samples from stations M4 and M2 were initially
wet-sieved over a 1 <inline-formula><mml:math id="M55" display="inline"><mml:mi mathvariant="normal">mm</mml:mi></mml:math></inline-formula> mesh, wet-split into five aliquot
subsamples using a rotary splitter (WSD-10; McLane Laboratories),
washed to remove the <inline-formula><mml:math id="M56" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">HgCl</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> and salts, and
centrifuged. Average weight differences between replicate aliquots
were within 2.4 % (SD <inline-formula><mml:math id="M57" display="inline"><mml:mrow><mml:mo>=</mml:mo><mml:mn mathvariant="normal">2.2</mml:mn></mml:mrow></mml:math></inline-formula>), with 87 % of all samples
differing <inline-formula><mml:math id="M58" display="inline"><mml:mrow><mml:mo>&lt;</mml:mo><mml:mn mathvariant="normal">5</mml:mn></mml:mrow></mml:math></inline-formula> % between splits (detailed procedure in Korte
et al., 2017).  Micropalaeontological analysis was undertaken from one
<inline-formula><mml:math id="M59" display="inline"><mml:mrow><mml:mn mathvariant="normal">1</mml:mn><mml:mo>/</mml:mo><mml:mn mathvariant="normal">5</mml:mn></mml:mrow></mml:math></inline-formula> split of each original sample after being oxidized in a low-temperature asher for approximately 4 <inline-formula><mml:math id="M60" display="inline"><mml:mi mathvariant="normal">h</mml:mi></mml:math></inline-formula> to remove the organic
matter and obtain a sample strictly composed of mineral particles
(Fallet et al., 2009). The coccolith export fluxes and species
composition were assessed following the methods described in Andruleit
(1996). Depending on the particle content of the samples, a split of
usually 1/2000 of the original sample was filtered onto polycarbonate
membrane filters (47 <inline-formula><mml:math id="M61" display="inline"><mml:mi mathvariant="normal">mm</mml:mi></mml:math></inline-formula> diameter, 0.45 <inline-formula><mml:math id="M62" display="inline"><mml:mrow><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula> pore
size). The only exception was the material-loaded sample M4-24 for
which a split of <inline-formula><mml:math id="M63" display="inline"><mml:mrow><mml:mn mathvariant="normal">1</mml:mn><mml:mo>/</mml:mo><mml:mn mathvariant="normal">16</mml:mn><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mn mathvariant="normal">000</mml:mn></mml:mrow></mml:math></inline-formula> was necessary. Once dried, a segment of
each filter was cut and mounted on a scanning electron microscope
(SEM) stub. A minimum of 500 coccoliths was then counted from an
arbitrarily chosen transect and each coccolith was identified to the
lowest taxonomic level possible at <inline-formula><mml:math id="M64" display="inline"><mml:mrow><mml:mn mathvariant="normal">3000</mml:mn><mml:mo>×</mml:mo></mml:mrow></mml:math></inline-formula> magnification using
a Zeiss DSM 940A SEM at 10 <inline-formula><mml:math id="M65" display="inline"><mml:mi mathvariant="normal">kV</mml:mi></mml:math></inline-formula> of accelerating voltage.</p>
      <p>The taxonomic identification of coccolithophore species followed Jordan
et al. (2004) and Young et al. (2011). Coccolith species counts were
converted into coccolith export fluxes
(i.e. coccoliths <inline-formula><mml:math id="M66" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="normal">m</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">d</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>) by extrapolating to the
entire effective filter area and to the original sample and dividing
by the sample interval and the trap aperture area. Finally, the
Shannon–Weaver diversity index <inline-formula><mml:math id="M67" display="inline"><mml:mrow><mml:msup><mml:mi>H</mml:mi><mml:mo>′</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula> (e.g. Tuomisto, 2013) was
determined to assess the coccolithophore species diversity at each
location.</p>
      <p>Shallowing or deepening of the nutricline was inferred from the ratio
between upper photic zone (UPZ) species and lower photic zone (LPZ)
species, with larger ratios (i.e. higher abundance of UPZ taxa)
indicating shallower depths of the nutricline. The ratio was
calculated as the sum of the fluxes of <italic>Gephyrocapsa muellerae</italic>, <italic>G. oceanica</italic>, and <italic>Emiliania huxleyi</italic>
divided by the sum of the fluxes of <italic>Florisphaera profunda</italic> and
<italic>Gladiolithus flabellatus</italic> (e.g. Molfino and McIntyre, 1990;
Beaufort et al., 1997; Stoll et al., 2007). In spite of also being
considered an LPZ species, <italic>Reticulofenestra sessilis</italic> was not
included in the equation due to its much lower export fluxes and
different seasonality compared to the latter two species.</p>
</sec>
<sec id="Ch1.S3.SS3">
  <title>Oceanographic and meteorological data</title>
      <p>Time series of hydrological (sea surface temperature – SST, salinity – SSS,
and Chl <inline-formula><mml:math id="M68" display="inline"><mml:mi>a</mml:mi></mml:math></inline-formula> concentrations) and meteorological parameters obtained from
satellite data (i.e. daily precipitation rates, photosynthetically available
radiance (PAR), wind speed) were used as a complementary framework for
interpreting the influence of environmental variability on the
coccolithophore export fluxes (Table 2). The aerosol optical depth (AOD) was
used as a measure of aerosols distributed within a column of air from the top
of the atmosphere to the surface of the Earth. Based on Lelli et al. (2014),
spatio-temporal variations in AOD during the sampling period were interpreted
as an indicator of the atmospheric aerosols originating from the African
deserts. The percentage of cloud cover was estimated from MODIS data as the
percentage of pixels in the image flagged (L2-flags) with “probable cloud or
ice contamination”. For each trap location, satellite data were retrieved
considering a <inline-formula><mml:math id="M69" display="inline"><mml:mrow><mml:msup><mml:mn mathvariant="normal">2</mml:mn><mml:mo>∘</mml:mo></mml:msup><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">2</mml:mn><mml:mo>∘</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula> latitude–longitude area centred
around the trap location and averaged for each 16-day interval of the
sediment trap sampling period. The <inline-formula><mml:math id="M70" display="inline"><mml:mrow><mml:msup><mml:mn mathvariant="normal">2</mml:mn><mml:mo>∘</mml:mo></mml:msup><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">2</mml:mn><mml:mo>∘</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula> box,
corresponding to <inline-formula><mml:math id="M71" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">119</mml:mn><mml:mo>×</mml:mo><mml:mn mathvariant="normal">119</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M72" display="inline"><mml:mrow><mml:mi mathvariant="normal">N</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mi mathvariant="normal">mi</mml:mi></mml:mrow></mml:math></inline-formula> (<inline-formula><mml:math id="M73" display="inline"><mml:mrow><mml:msup><mml:mn mathvariant="normal">1</mml:mn><mml:mo>∘</mml:mo></mml:msup><mml:mo>=</mml:mo><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">59</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M74" display="inline"><mml:mrow><mml:mi mathvariant="normal">N</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mi mathvariant="normal">mi</mml:mi></mml:mrow></mml:math></inline-formula>), was assumed to be representative of the catchment area of
a trap deployed at 1200 <inline-formula><mml:math id="M75" display="inline"><mml:mi mathvariant="normal">m</mml:mi></mml:math></inline-formula> of depth, taking into account the sinking
speed for marine phytoplankton and algal aggregates (e.g. Waniek et al.,
2000) and based on temperature–pressure measurements; this indicates that M2
and M4 were equally and effectively vertical during the deployment period
(Korte et al., 2017). Data were downloaded from various sources as listed in
the Supplement and processed for the study period 2012–2013, as shown in
Fig. 2.</p>
</sec>
<sec id="Ch1.S3.SS4">
  <title>Statistical multivariate analysis</title>
      <p>The relationship between the coccolithophore taxa and the
environmental conditions during the monitored period was investigated
on the basis of a statistical multivariate analysis (<inline-formula><mml:math id="M76" display="inline"><mml:mi>r</mml:mi></mml:math></inline-formula>-mode factor
analysis; Statistica 13) performed upon a data matrix of 46 samples
(i.e. cases) and 17 variables (columns). The factor analysis
considered only the percentages of the 10 most common species or taxonomic
groups (i.e. <inline-formula><mml:math id="M77" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:math></inline-formula> % of the annual mean assemblage in at least
one of the stations) and the hydrological and meteorological
parameters obtained from satellite data (SST, SSS, Chl <inline-formula><mml:math id="M78" display="inline"><mml:mi>a</mml:mi></mml:math></inline-formula>, PAR,
precipitation rate, AOD, and wind speed). Results from the original
data matrices were optimized through a varimax raw rotation and the
obtained factor scores were plotted against time to assess the
temporal variability of the factors at both mooring locations.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F2" specific-use="star"><caption><p>Time series of relevant atmospheric and oceanographic
parameters during the monitored time interval determined from
remote sensing; <bold>(a, b)</bold> sea surface temperature (SST), sea
surface salinity (SSS) and Chl <inline-formula><mml:math id="M79" display="inline"><mml:mi>a</mml:mi></mml:math></inline-formula> concentrations, <bold>(c, d)</bold>
photosynthetic available radiance (PAR), precipitation rate and wind
speed, and <bold>(e, f)</bold> aerosol optical depth (AOD) and cloud
cover percentage (for data sources and processing, see the Supplement and
Sect. 3.3). Dark and light grey bands refer to fall and summer,
respectively.</p></caption>
          <?xmltex \igopts{width=369.885827pt}?><graphic xlink:href="https://bg.copernicus.org/articles/14/4577/2017/bg-14-4577-2017-f02.png"/>

        </fig>

</sec>
</sec>
<sec id="Ch1.S4">
  <title>Results</title>
<sec id="Ch1.S4.SS1">
  <title>Oceanographic and meteorological conditions during the
sampling period</title>
      <p>The seasonal development of sea surface conditions did not differ
drastically between the two mooring stations during the monitored
period, despite considerable differences in the range of values of
salinity and Chl <inline-formula><mml:math id="M80" display="inline"><mml:mi>a</mml:mi></mml:math></inline-formula> concentrations (Fig. 2). SST tended to be lower
from late winter to early summer and higher during late summer and
fall in both areas, although it was generally higher at station M4
(26.2–29.2 <inline-formula><mml:math id="M81" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C) than at M2 (24.3–28.2 <inline-formula><mml:math id="M82" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C). SST
minima were recorded in late March and April 2013 at station M4 and
in late March and late May of the same year at station M2. Differences
were, however, encountered in terms of the range and seasonal patterns
of SSS. Whereas station M2 revealed little variability in surface
salinity (35.5–36.3), station M4 experienced a sharp and quite
distinct decrease during the fall months, particularly in
October–November 2013 (33.9–36.5). Surface Chl <inline-formula><mml:math id="M83" display="inline"><mml:mi>a</mml:mi></mml:math></inline-formula> concentrations
were generally low during most of the year at both stations (<inline-formula><mml:math id="M84" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">0.1</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M85" display="inline"><mml:mrow><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">L</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>) but distinctively increased in
October–November 2013 at station M4 (up to
1.13 <inline-formula><mml:math id="M86" display="inline"><mml:mrow><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">L</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>) (Fig. 2a, b).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F3" specific-use="star"><caption><p>Temporal variation in total coccolith export fluxes
(coccolith <inline-formula><mml:math id="M87" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="normal">m</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">d</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>; green bars), Shannon–Weaver
diversity index (<inline-formula><mml:math id="M88" display="inline"><mml:mrow><mml:msup><mml:mi>H</mml:mi><mml:mo>′</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula>; solid grey line), and annual mean
coccolith flux (horizontal black line) at trap stations M4
<bold>(a)</bold> and M2 <bold>(b)</bold>.</p></caption>
          <?xmltex \igopts{width=369.885827pt}?><graphic xlink:href="https://bg.copernicus.org/articles/14/4577/2017/bg-14-4577-2017-f03.png"/>

        </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F4"><caption><p>Deviation from the annual mean coccolith flux determined for
trap stations M4 (green) and M2 (transparent white).</p></caption>
          <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://bg.copernicus.org/articles/14/4577/2017/bg-14-4577-2017-f04.png"/>

        </fig>

      <p>Atmospheric conditions were similar at both locations. Despite the narrow
range of PAR values observed at both stations, a clear seasonality is
evidenced from slightly higher PAR during spring and summer (up to
65.615 Einstein <inline-formula><mml:math id="M89" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="normal">m</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">d</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> in April 2013) towards slightly lower
PAR during fall and winter (down to 65.588 Einstein <inline-formula><mml:math id="M90" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="normal">m</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">d</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> in
December 2012) at both stations
(Fig. 2c and d). Precipitation rates were higher during summer and fall, up
to 10 <inline-formula><mml:math id="M91" display="inline"><mml:mrow><mml:mi mathvariant="normal">mm</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">d</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> in early November 2012 at M2 and up to
9 <inline-formula><mml:math id="M92" display="inline"><mml:mrow><mml:mi mathvariant="normal">mm</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">d</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> in September–October 2013 at M4. Both stations received
little to no precipitation during the winter and spring months (Fig. 2c
and d). Winds were stronger albeit variable during winter and spring and then
dropped during the summer months to gradually increase again during the
following fall. Slightly stronger winds prevailed during winter and spring at
M4 (up to 10 <inline-formula><mml:math id="M93" display="inline"><mml:mrow><mml:mi mathvariant="normal">m</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">s</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> in December 2013, April, and June 2013) and
during spring, summer, and fall at M2 (up to 9.5 <inline-formula><mml:math id="M94" display="inline"><mml:mrow><mml:mi mathvariant="normal">m</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">s</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> in
May–June and October–November 2013; Fig. 2c and d). AOD had a similar
month-to-month variation at both locations, generally increasing during the
spring–summer transition but reaching higher values at station M2,
particularly in May–June 2013 (up to <inline-formula><mml:math id="M95" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">0.85</mml:mn></mml:mrow></mml:math></inline-formula>), compared to M4
(only 0.35; Fig. 2e and f). Cloud cover percentage was fairly variable during
the sampling period, generally higher at station M2 with a tendency to
increase during spring and summer. Clouds and AOD appear weakly covariant
(ascending) during winter and spring, whereas during summer and fall the
discrepancy between the two parameters increases, pointing to a higher error
in dust flux estimates from AOD during summer and fall (Fig. 2e and f).</p>
</sec>
<sec id="Ch1.S4.SS2">
  <title>Total coccolith fluxes at stations M4 and M2</title>
      <p>Station M4 received much higher fluxes than M2 during most of the
year, reaching an annual mean of <inline-formula><mml:math id="M96" display="inline"><mml:mrow><mml:mn mathvariant="normal">241</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mn mathvariant="normal">7</mml:mn></mml:msup><mml:mo>±</mml:mo><mml:mn mathvariant="normal">76</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mn mathvariant="normal">7</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M97" display="inline"><mml:mrow><mml:mi mathvariant="normal">coccoliths</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">m</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">d</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> compared to only <inline-formula><mml:math id="M98" display="inline"><mml:mrow><mml:mn mathvariant="normal">66</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mn mathvariant="normal">7</mml:mn></mml:msup><mml:mo>±</mml:mo><mml:mn mathvariant="normal">31</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mn mathvariant="normal">7</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula> coccoliths <inline-formula><mml:math id="M99" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="normal">m</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">d</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>
at station M2 (Fig. 3,
Table 3). In spite of this conspicuous contrast, the two stations
revealed an overall similar temporal variation in coccolith fluxes,
with maxima during the fall of 2012 (in early November at M4 and late
October in M2) and during the summer of 2013 (in late July at M4 and
early July at M2) and minima during the fall of 2012 (late October at
M4 and early November at M2), spring 2013 (late March at M4 and late
May at M2), and the summer–fall transition in 2013 (at both
stations). Only from January to March 2013 did stations M4 and M2 diverge
with fluxes below and above the corresponding annual means,
respectively (Figs. 3 and 4).</p>
</sec>
<sec id="Ch1.S4.SS3">
  <title>Coccolithophore species fluxes and relative abundances</title>
      <p>The number of species or groups of species was similar at stations M4 and
M2 (47 and 43 taxa, respectively) although slightly higher at the
westernmost site as also indicated by the higher Shannon–Weaver
diversity index (<inline-formula><mml:math id="M100" display="inline"><mml:mrow><mml:msup><mml:mi>H</mml:mi><mml:mo>′</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula>; Fig. 3). The <inline-formula><mml:math id="M101" display="inline"><mml:mrow><mml:msup><mml:mi>H</mml:mi><mml:mo>′</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula> value was highest
during the fall of 2012 and later in April and October–November 2013
at M4. It was highest during late November 2012 and lowest in March–April and
July–August of 2013 at M2 (Fig. 3). In spite of this species
diversity, only 10 taxa occurred in abundances of <inline-formula><mml:math id="M102" display="inline"><mml:mrow><mml:mo>≥</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:math></inline-formula> % in at
least one of the stations and were selected for our further analysis
(see Figs. 5 and 6). Mean, minimum, and maximum coccolith fluxes and
percentages for each taxon or group of taxa are given in Table 3. The
dominant taxa by far were the LPZ species <italic>Florisphaera profunda</italic> and <italic>Gladiolithus flabellatus,</italic> with fluxes
together comprising 74 and 69 % of the annual mean flux at M4 and
M2, respectively. The remaining taxa, including <italic>Emiliania huxleyi</italic>, <italic>Umbellosphaera</italic> spp., <italic>Rhabdosphaera</italic> spp.,
<italic>Helicosphaera</italic> spp., <italic>Umbilicosphaera</italic> spp.,
<italic>Reticulofenestra sessilis</italic>, <italic>Gephyrocapsa</italic>
<italic>muellerae</italic>, and <italic>G. oceanica,</italic> exhibited mean
percentages of 2–7 % (Table 3, Fig. 5).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F5" specific-use="star"><caption><p>Percentage of the most abundant coccolithophore taxa (<inline-formula><mml:math id="M103" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:math></inline-formula> %) at stations M4 and M2.</p></caption>
          <?xmltex \igopts{width=500.768504pt}?><graphic xlink:href="https://bg.copernicus.org/articles/14/4577/2017/bg-14-4577-2017-f05.png"/>

        </fig>

      <p>Most of the taxa produced much higher coccolith fluxes at the western
station M4. Such was particularly the case of <italic>F. profunda</italic>,
<italic>G. flabellatus</italic>, and <italic>E. huxleyi</italic>, with maximum fluxes
nearly 3–5 times higher at M4 than at M2. It was also the case of the UPZ
species <italic>G. muellerae</italic> and <italic>G. oceanica</italic>, which recorded
flux maxima up to 72 and 26 times higher at M4, respectively. Species
within <italic>Umbellosphaera</italic>, <italic>Rhabdosphaera</italic>,
<italic>Umbilicosphaera</italic>, <italic>Helicosphaera</italic>, and
<italic>R. sessilis</italic> had more similar ranges of abundance at the two
sites. In terms of relative abundance, however, all the species
recorded higher percentages at station M2 compared to M4, with the
exception of <italic>G. flabellatus</italic>, <italic>E. huxleyi</italic>, and species
within <italic>Gephyrocapsa</italic> spp.</p>
<sec id="Ch1.S4.SS3.SSS1">
  <title>Site M4</title>
      <p>Coccoliths produced by <italic>F. profunda</italic> (29–56 %) were high
in November 2012 and late July 2013, with lower fluxes in
October 2012, late March, late August, and late September 2013. In
terms of relative abundances, <italic>F. profunda</italic> was most common in
early November 2012 and least common in late April 2013 (Fig. 6a).
A similar seasonal pattern was shown by <italic>G. flabellatus</italic>
(18–47 %) but with a less abrupt decrease in the transition to
spring compared to <italic>F. profunda.</italic> Lower fluxes of
<italic>G. flabellatus</italic> occurred in October 2012, March, and
October–November 2013, whereas its relative abundances generally
followed the same seasonal pattern of the fluxes
(Fig. 6b). Seasonality in <italic>Umbellosphaera</italic> spp. (2–8 %)
and <italic>R. sessilis</italic> (0.2–2 %) was somewhat similar to that
of <italic>G. flabellatus.</italic> Maximum fluxes of <italic>Umbellosphaera</italic>
spp. occurred in December 2012 and September 2013, and lower fluxes
occurred from late winter to early spring, with higher percentages in
October and December 2012 and later in September 2013 (Fig. 6d). Flux
maxima of <italic>R. sessilis</italic> occurred in late December 2012 and late
July and early October 2013, and flux minima occurred in October 2012, late
March, late April, and late May 2012 (Fig. 6h).</p>
      <p><italic>Rhabdosphaera</italic> spp. (0–3 %) and <italic>Umbilicosphaera</italic>
spp. (1–3 %) revealed similar seasonal patterns, with the highest
fluxes recorded during spring and summer and maxima in late July 2013
and later in April and June 2013 (Fig. 6e and g). In the case of
<italic>Umbilicosphaera</italic> spp., flux increases were also noticed in
early December 2012 and November 2013. The lowest fluxes of both taxa were
recorded from January to March 2013. The seasonal pattern of their
relative abundance generally followed that of the coccolith export
fluxes. In spite of some similarity with the latter taxa,
<italic>Helicosphaera</italic> spp.  (0.1–2 %) was clearly more abundant
in late April and late July, with the lowest fluxes from late summer to
late winter (Fig. 6f), whereas <italic>E. huxleyi</italic> (0.1–2 %)
showed two distinct and very sharp peaks in late April 2013 and in
October–November 2013 (Fig. 6c).</p>
      <p><italic>Gephyrocapsa muellerae</italic> (0–25 %) occurred in persistently
low fluxes and percentages throughout the year but remarkably
increased in January 2013 (Fig. 6i).  Seasonality in
<italic>G. oceanica</italic> (0.1–9 %) was somewhat in between
<italic>G. muellerae</italic> and <italic>E. huxleyi</italic>, but it was slightly
more abundant from December 2012 until April 2013 and strikingly
increased in October–November 2013 (Fig. 6j).</p>
</sec>
<sec id="Ch1.S4.SS3.SSS2">
  <title>Site M2</title>
      <p>In comparison to the western site where different species revealed
distinct seasonal variations, at the more central site M2 most of the
taxa revealed a very similar seasonality, with the highest fluxes in late
October 2012 and early July 2013 and lower fluxes in early
November 2012, late May, and August 2013 (Fig. 6) The exceptions were
<italic>G. flabellatus</italic> (Fig. 6b), which was the only one of the
most abundant species without a flux increase in early March 2013, and
<italic>Helicosphaera</italic> spp. (Fig. 6f), which were clearly more
abundant from late winter to early summer 2013.</p>
      <p><italic>F. profunda</italic> (53–72 %) stood out for being much more
common at site M2 compared to M4 (Fig. 6a), and species within
<italic>Umbellosphaera</italic> spp. (4–10 %), <italic>H. carteri</italic>
(1–9 %), <italic>Rhabdosphaera</italic> spp. (1–5 %),
<italic>Umbilicosphaera</italic> spp. (1–5 %), and <italic>R. sessilis</italic>
(1–4 %) were also generally more common in this area than at M4
(Fig. 6d–h). By contrast, <italic>G. flabellatus</italic>
(4–16 %), <italic>E. huxleyi</italic> (3–13 %), <italic>G. oceanica</italic>
(0–2 %), and <italic>G. muellerae</italic> (0–1 %) revealed much
lower fluxes and percentages as well as comparatively low
month-to-month variation in fluxes compared to M4 (Fig. 6b, c, i, and j).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F6" specific-use="star"><caption><p>Coccolith export fluxes and relative abundance of the most
important species at stations M4 and M2: <bold>(a)</bold> <italic>F. profunda</italic>, <bold>(b)</bold> <italic>G. flabellatus</italic>, <bold>(c)</bold>
<italic>E. huxleyi</italic>, <bold>(d)</bold> <italic>Umbellosphaera</italic> spp.,
<bold>(e)</bold> <italic>Rhabdosphaera</italic> spp., <bold>(f)</bold>
<italic>Helicosphaera</italic> spp., <bold>(g)</bold> <italic>Umbilicosphaera</italic>
spp., <bold>(h)</bold> <italic>R. sessilis</italic>, <bold>(i)</bold>
<italic>G. muellerae</italic>, and <bold>(j)</bold> <italic>G. oceanica.</italic> Dark
and light grey bars indicate boreal fall and summer,
respectively. Numbers 7, 12, and 24 indicate the sample reference for
the time intervals during which <italic>G.  muellerae</italic>,
<italic>E. huxleyi</italic>,
and <italic>G. oceanica</italic> produced “pulse-like” maxima at station
M4 (i.e. late January, middle April, and late October to early
November 2013, respectively), whereas number 9 indicates the sample
reference for the time interval during which enhanced fluxes of
<italic>E. huxleyi</italic> occurred at station M2 (i.e. early March 2013).</p></caption>
            <?xmltex \igopts{width=500.768504pt}?><graphic xlink:href="https://bg.copernicus.org/articles/14/4577/2017/bg-14-4577-2017-f06.png"/>

          </fig>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T2" specific-use="star"><caption><p>Annual mean and range of coccolith fluxes and relative
abundances of the most abundant coccolithophore taxa (mean <inline-formula><mml:math id="M104" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:math></inline-formula> %) for mooring stations M4 (left) and M2
(right). Loadings marked in bold refer to the strongest significant correlations (<inline-formula><mml:math id="M105" display="inline"><mml:mrow><mml:mi>r</mml:mi><mml:mo>≥</mml:mo><mml:mn mathvariant="normal">0.4</mml:mn></mml:mrow></mml:math></inline-formula>).</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="9">
     <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" colsep="1"/>
     <oasis:colspec colnum="6" colname="col6" align="right"/>
     <oasis:colspec colnum="7" colname="col7" align="right"/>
     <oasis:colspec colnum="8" colname="col8" align="right"/>
     <oasis:colspec colnum="9" colname="col9" align="right"/>
     <oasis:thead>
       <oasis:row>  
         <oasis:entry colname="col1">Taxa</oasis:entry>  
         <oasis:entry namest="col2" nameend="col5" align="center" colsep="1">Coccolith fluxes (coccoliths <inline-formula><mml:math id="M106" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="normal">m</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">d</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mn mathvariant="normal">7</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>) </oasis:entry>  
         <oasis:entry namest="col6" nameend="col9" align="center">Relative abundances (%) </oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"/>  
         <oasis:entry rowsep="1" namest="col2" nameend="col3" align="center">M4 </oasis:entry>  
         <oasis:entry rowsep="1" namest="col4" nameend="col5" align="center" colsep="1">M2 </oasis:entry>  
         <oasis:entry rowsep="1" namest="col6" nameend="col7" align="center">M4 </oasis:entry>  
         <oasis:entry rowsep="1" namest="col8" nameend="col9" align="center">M2 </oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2">Mean</oasis:entry>  
         <oasis:entry colname="col3">Min–Max</oasis:entry>  
         <oasis:entry colname="col4">Mean</oasis:entry>  
         <oasis:entry colname="col5">Min–Max</oasis:entry>  
         <oasis:entry colname="col6">Mean</oasis:entry>  
         <oasis:entry colname="col7">Min–Max</oasis:entry>  
         <oasis:entry colname="col8">Mean</oasis:entry>  
         <oasis:entry colname="col9">Min–Max</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1">Total fluxes</oasis:entry>  
         <oasis:entry colname="col2">247</oasis:entry>  
         <oasis:entry colname="col3">117–423</oasis:entry>  
         <oasis:entry colname="col4">66</oasis:entry>  
         <oasis:entry colname="col5">25–153</oasis:entry>  
         <oasis:entry colname="col6"/>  
         <oasis:entry colname="col7"/>  
         <oasis:entry colname="col8"/>  
         <oasis:entry colname="col9"/>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">UPZ TAXA</oasis:entry>  
         <oasis:entry colname="col2"/>  
         <oasis:entry colname="col3"/>  
         <oasis:entry colname="col4"/>  
         <oasis:entry colname="col5"/>  
         <oasis:entry colname="col6"/>  
         <oasis:entry colname="col7"/>  
         <oasis:entry colname="col8"/>  
         <oasis:entry colname="col9"/>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"><italic>G. oceanica</italic></oasis:entry>  
         <oasis:entry colname="col2">4</oasis:entry>  
         <oasis:entry colname="col3">0.2–26</oasis:entry>  
         <oasis:entry colname="col4">0.3</oasis:entry>  
         <oasis:entry colname="col5">0–1</oasis:entry>  
         <oasis:entry colname="col6">2</oasis:entry>  
         <oasis:entry colname="col7">0.1–9</oasis:entry>  
         <oasis:entry colname="col8">0,4</oasis:entry>  
         <oasis:entry colname="col9">0–2</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"><italic>E. huxleyi</italic></oasis:entry>  
         <oasis:entry colname="col2">17</oasis:entry>  
         <oasis:entry colname="col3">4–69</oasis:entry>  
         <oasis:entry colname="col4">4</oasis:entry>  
         <oasis:entry colname="col5">1–14</oasis:entry>  
         <oasis:entry colname="col6">7</oasis:entry>  
         <oasis:entry colname="col7">3–21</oasis:entry>  
         <oasis:entry colname="col8">5</oasis:entry>  
         <oasis:entry colname="col9">3–13</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"><italic>G. muellerae</italic></oasis:entry>  
         <oasis:entry colname="col2">7</oasis:entry>  
         <oasis:entry colname="col3">0–72</oasis:entry>  
         <oasis:entry colname="col4">0.2</oasis:entry>  
         <oasis:entry colname="col5">0–1</oasis:entry>  
         <oasis:entry colname="col6">3</oasis:entry>  
         <oasis:entry colname="col7">0–25</oasis:entry>  
         <oasis:entry colname="col8">0.3</oasis:entry>  
         <oasis:entry colname="col9">0–1</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"><italic>Helicosphaera</italic> spp.</oasis:entry>  
         <oasis:entry colname="col2">2</oasis:entry>  
         <oasis:entry colname="col3">0.1–6</oasis:entry>  
         <oasis:entry colname="col4">2</oasis:entry>  
         <oasis:entry colname="col5">1–4</oasis:entry>  
         <oasis:entry colname="col6">1</oasis:entry>  
         <oasis:entry colname="col7">0.1–2</oasis:entry>  
         <oasis:entry colname="col8">3</oasis:entry>  
         <oasis:entry colname="col9">1–9</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"><italic>Rhabdos.</italic> spp.</oasis:entry>  
         <oasis:entry colname="col2">4</oasis:entry>  
         <oasis:entry colname="col3">0–11</oasis:entry>  
         <oasis:entry colname="col4">2</oasis:entry>  
         <oasis:entry colname="col5">0.3–5</oasis:entry>  
         <oasis:entry colname="col6">1</oasis:entry>  
         <oasis:entry colname="col7">0–3</oasis:entry>  
         <oasis:entry colname="col8">2</oasis:entry>  
         <oasis:entry colname="col9">1–5</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"><italic>Umbellos.</italic> spp.</oasis:entry>  
         <oasis:entry colname="col2">9</oasis:entry>  
         <oasis:entry colname="col3">3–16</oasis:entry>  
         <oasis:entry colname="col4">5</oasis:entry>  
         <oasis:entry colname="col5">1–11</oasis:entry>  
         <oasis:entry colname="col6">4</oasis:entry>  
         <oasis:entry colname="col7">2–8</oasis:entry>  
         <oasis:entry colname="col8">7</oasis:entry>  
         <oasis:entry colname="col9">4–10</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1"><italic>Umbilico.</italic> spp.</oasis:entry>  
         <oasis:entry colname="col2">4</oasis:entry>  
         <oasis:entry colname="col3">2–9</oasis:entry>  
         <oasis:entry colname="col4">1</oasis:entry>  
         <oasis:entry colname="col5">0.3–3</oasis:entry>  
         <oasis:entry colname="col6">2</oasis:entry>  
         <oasis:entry colname="col7">1–3</oasis:entry>  
         <oasis:entry colname="col8">2</oasis:entry>  
         <oasis:entry colname="col9">1–3</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">LPZ TAXA</oasis:entry>  
         <oasis:entry colname="col2"/>  
         <oasis:entry colname="col3"/>  
         <oasis:entry colname="col4"/>  
         <oasis:entry colname="col5"/>  
         <oasis:entry colname="col6"/>  
         <oasis:entry colname="col7"/>  
         <oasis:entry colname="col8"/>  
         <oasis:entry colname="col9"/>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"><italic>R. sessilis</italic></oasis:entry>  
         <oasis:entry colname="col2">2</oasis:entry>  
         <oasis:entry colname="col3">1–5</oasis:entry>  
         <oasis:entry colname="col4">2</oasis:entry>  
         <oasis:entry colname="col5">0.4–3</oasis:entry>  
         <oasis:entry colname="col6">1</oasis:entry>  
         <oasis:entry colname="col7">0.2–2</oasis:entry>  
         <oasis:entry colname="col8">3</oasis:entry>  
         <oasis:entry colname="col9">1–4</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"><italic>F. profunda</italic></oasis:entry>  
         <oasis:entry colname="col2">97</oasis:entry>  
         <oasis:entry colname="col3">51–235</oasis:entry>  
         <oasis:entry colname="col4">39</oasis:entry>  
         <oasis:entry colname="col5">14–90</oasis:entry>  
         <oasis:entry colname="col6">39</oasis:entry>  
         <oasis:entry colname="col7">29–56</oasis:entry>  
         <oasis:entry colname="col8">60</oasis:entry>  
         <oasis:entry colname="col9">53–72</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"><italic>G. flabellatus</italic></oasis:entry>  
         <oasis:entry colname="col2">85</oasis:entry>  
         <oasis:entry colname="col3">36–146</oasis:entry>  
         <oasis:entry colname="col4">6</oasis:entry>  
         <oasis:entry colname="col5">2–24</oasis:entry>  
         <oasis:entry colname="col6">35</oasis:entry>  
         <oasis:entry colname="col7">18–47</oasis:entry>  
         <oasis:entry colname="col8">9</oasis:entry>  
         <oasis:entry colname="col9">4–16</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

</sec>
</sec>
<sec id="Ch1.S4.SS4">
  <title>Coccolithophore variability from multivariate factor analysis</title>
      <p>Four factors were extracted from the multivariate factor analysis,
together explaining 63 % of the total variability within the data
(Fig. 7, Table 3). Factor 1 (F1, explaining 30 % of the total
variance) is represented by <italic>F. profunda</italic>,
<italic>R. sessilis</italic>, <italic>Umbellosphaera</italic> spp.,
<italic>Helicosphaera</italic> spp., and <italic>Rhabdosphaera</italic> spp. in
opposition to <italic>G. flabellatus</italic> and SST. Whereas both groups of
variables do not show a clear seasonal pattern throughout the study
period, they indicate contrasting ecological conditions between M2 and
M4. The first group was clearly more associated with station M2 during
the entire year, particularly during spring (most negative score in
late March 2013), whereas the second group was persistently more
associated with station M4 (most positive scores in November 2012 and
later from May to September 2013).</p>
      <p>Factor 2 (F2 – 16 %) is represented by precipitation, SST, and
Chl <inline-formula><mml:math id="M107" display="inline"><mml:mi>a</mml:mi></mml:math></inline-formula> in opposition to SSS, AOD, PAR, and to a lesser extent,
wind and <italic>Helicosphaera</italic> spp. The two groups of variables
showed a similar seasonal pattern at both stations, with
precipitation, SST, and Chl <inline-formula><mml:math id="M108" display="inline"><mml:mi>a</mml:mi></mml:math></inline-formula> displaying a stronger negative signal
during the fall months, particularly at M4 (most negative score in
October 2013). The second group was most strongly correlated during
spring and early summer at both stations (most positive scores in
late May and early June 2013; Fig. 7, Table 3).</p>
      <p>Factor 3 (F3, 10 %) is represented by <italic>G. muellerae</italic> and
to a lesser extent <italic>G. oceanica</italic>, in opposition to
<italic>Rhabdosphaera</italic> spp., <italic>Umbilicosphaera</italic> spp., PAR, and
to a lesser extent, <italic>Umbellosphaera</italic> spp. The latter group
revealed little statistical significance throughout the year at either
location (i.e. scores close to zero) except in January 2013 when
<italic>G. muellerae</italic> recorded high negative scores at station M4
(Fig. 7, Table 3).</p>
      <p>Factor 4 (F4, 8 %) reflects <italic>F. profunda</italic> in opposition
to <italic>E. huxleyi</italic>, <italic>G. oceanica</italic>, and to a lesser
extent, wind speed. F4 reveals a weak signal at both locations
during most of the year, except in April and October 2013 when two
sharp positive peaks at station M4 reflected the short-term and sharp
increases in <italic>E. huxleyi</italic> and <italic>G. oceanica</italic>.  Relatively
minor but still significant positive peaks occurred in January at M4
and in March at M2. Negative peaks were recorded in November 2012 at both
stations, later in early May at M4, and in late August 2013 at
both stations, reflecting the higher presence of <italic>F. profunda</italic>
during these periods (Fig. 7, Table 3).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F7" specific-use="star"><caption><p>Spatio-temporal variation in the scores obtained from factor
analysis. For taxonomical references, see Table 3.</p></caption>
          <?xmltex \igopts{width=426.791339pt}?><graphic xlink:href="https://bg.copernicus.org/articles/14/4577/2017/bg-14-4577-2017-f07.png"/>

        </fig>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T3"><caption><p>Factor loadings (varimax raw), eigenvalues, and percentage of the
explained variance extracted from the data matrices referring to the
period from October 2012 to October–November 2013 at stations M4 and
M2 (<inline-formula><mml:math id="M109" display="inline"><mml:mi>r</mml:mi></mml:math></inline-formula>-mode factor analysis by Statistica 13; marked loadings are <inline-formula><mml:math id="M110" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">0.4</mml:mn></mml:mrow></mml:math></inline-formula>). Chl <inline-formula><mml:math id="M111" display="inline"><mml:mi>a</mml:mi></mml:math></inline-formula> – surface phytoplankton biomass, SST and SSS – sea
surface temperature and salinity, PAR – photosynthetic available
radiance, AOD – aerosol optical depth, Prec – daily precipitation
rate, and Wind – wind speed. In Factor 3, numbers 7 and 12 indicate
the sample reference for the time intervals during which
<italic>G. muellerae</italic> and <italic>E. huxleyi</italic> produced “pulse-like”
maxima at station M4 (i.e. late January and middle April 2013,
respectively; see Fig. 6i and c), whereas in Factor 4, number 24
indicates the sample reference for the time interval during which the
pulse-like maxima of sea surface Chl <inline-formula><mml:math id="M112" display="inline"><mml:mi>a</mml:mi></mml:math></inline-formula> and <italic>G. oceanica</italic>,
together with a sharp increase in <italic>E.  huxleyi</italic>, occurred at
station M4 (i.e. late October to early November 2013; see
Fig. 6c and j). In Factor 2, numbers 23 and 24 indicate the
time intervals during which SSS minima were recorded during fall at the same
site (see Fig. 2).</p></caption><oasis:table frame="topbot"><?xmltex \begin{scaleboxenv}{.9}[.9]?><oasis:tgroup cols="5">
     <oasis:colspec colnum="1" colname="col1" align="justify" colwidth="120pt"/>
     <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:thead>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2">F1</oasis:entry>  
         <oasis:entry colname="col3">F2</oasis:entry>  
         <oasis:entry colname="col4">F3</oasis:entry>  
         <oasis:entry colname="col5">F4</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>  
         <oasis:entry colname="col1"><italic>F. profunda</italic> (Fp)</oasis:entry>  
         <oasis:entry colname="col2"><inline-formula><mml:math id="M113" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula><bold>0.8</bold></oasis:entry>  
         <oasis:entry colname="col3">0.2</oasis:entry>  
         <oasis:entry colname="col4">0.1</oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math id="M114" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula><bold>0.4</bold></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"><italic>G. flabellatus</italic> (Gf)</oasis:entry>  
         <oasis:entry colname="col2"><bold>0.9</bold></oasis:entry>  
         <oasis:entry colname="col3"><inline-formula><mml:math id="M115" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.2</oasis:entry>  
         <oasis:entry colname="col4">0</oasis:entry>  
         <oasis:entry colname="col5">0</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"><italic>E. huxleyi</italic> (Eh)</oasis:entry>  
         <oasis:entry colname="col2">0.2</oasis:entry>  
         <oasis:entry colname="col3">0.1</oasis:entry>  
         <oasis:entry colname="col4">0.2</oasis:entry>  
         <oasis:entry colname="col5"><bold>0.8</bold></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"><italic>Umbellosphaera</italic> spp. (Umbel)</oasis:entry>  
         <oasis:entry colname="col2"><inline-formula><mml:math id="M116" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula><bold>0.7</bold></oasis:entry>  
         <oasis:entry colname="col3"><inline-formula><mml:math id="M117" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.2</oasis:entry>  
         <oasis:entry colname="col4"><bold>0.4</bold></oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math id="M118" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.1</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"><italic>Rhabdosphaera</italic> spp. (Rhab)</oasis:entry>  
         <oasis:entry colname="col2"><inline-formula><mml:math id="M119" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula><bold>0.5</bold></oasis:entry>  
         <oasis:entry colname="col3">0</oasis:entry>  
         <oasis:entry colname="col4"><bold>0.6</bold></oasis:entry>  
         <oasis:entry colname="col5">0.2</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"><italic>Helicosphaera</italic> spp. (Heli)</oasis:entry>  
         <oasis:entry colname="col2"><inline-formula><mml:math id="M120" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula><bold>0.6</bold></oasis:entry>  
         <oasis:entry colname="col3"><bold>0.4</bold></oasis:entry>  
         <oasis:entry colname="col4">0.2</oasis:entry>  
         <oasis:entry colname="col5">0</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"><italic>Umbilicosphaera</italic> spp. (Umbil)</oasis:entry>  
         <oasis:entry colname="col2"><inline-formula><mml:math id="M121" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.3</oasis:entry>  
         <oasis:entry colname="col3">0.1</oasis:entry>  
         <oasis:entry colname="col4"><bold>0.5</bold></oasis:entry>  
         <oasis:entry colname="col5">0.2</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"><italic>R. sessilis</italic> (Rses)</oasis:entry>  
         <oasis:entry colname="col2"><inline-formula><mml:math id="M122" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula><bold>0.8</bold></oasis:entry>  
         <oasis:entry colname="col3">0</oasis:entry>  
         <oasis:entry colname="col4">0.1</oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math id="M123" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.2</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"><italic>G. muellerae</italic> (Gm)</oasis:entry>  
         <oasis:entry colname="col2">0.2</oasis:entry>  
         <oasis:entry colname="col3">0.1</oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math id="M124" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula><bold>0.8</bold></oasis:entry>  
         <oasis:entry colname="col5">0.1</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"><italic>G. oceanica</italic> (Go)</oasis:entry>  
         <oasis:entry colname="col2">0.2</oasis:entry>  
         <oasis:entry colname="col3"><inline-formula><mml:math id="M125" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.2</oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math id="M126" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula><bold>0.4</bold></oasis:entry>  
         <oasis:entry colname="col5"><bold>0.6</bold></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Chl <inline-formula><mml:math id="M127" display="inline"><mml:mi>a</mml:mi></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col2">0</oasis:entry>  
         <oasis:entry colname="col3"><inline-formula><mml:math id="M128" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula><bold>0.5</bold></oasis:entry>  
         <oasis:entry colname="col4">0</oasis:entry>  
         <oasis:entry colname="col5">0.2</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">SST</oasis:entry>  
         <oasis:entry colname="col2"><bold>0.5</bold></oasis:entry>  
         <oasis:entry colname="col3"><inline-formula><mml:math id="M129" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula><bold>0.7</bold></oasis:entry>  
         <oasis:entry colname="col4">0.1</oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math id="M130" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.1</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">PAR</oasis:entry>  
         <oasis:entry colname="col2">0.2</oasis:entry>  
         <oasis:entry colname="col3"><bold>0.5</bold></oasis:entry>  
         <oasis:entry colname="col4"><bold>0.5</bold></oasis:entry>  
         <oasis:entry colname="col5">0.1</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">AOD</oasis:entry>  
         <oasis:entry colname="col2"><inline-formula><mml:math id="M131" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.2</oasis:entry>  
         <oasis:entry colname="col3"><bold>0.6</bold></oasis:entry>  
         <oasis:entry colname="col4">0.2</oasis:entry>  
         <oasis:entry colname="col5">0</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">SSS</oasis:entry>  
         <oasis:entry colname="col2"><inline-formula><mml:math id="M132" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.1</oasis:entry>  
         <oasis:entry colname="col3"><bold>0.8</bold></oasis:entry>  
         <oasis:entry colname="col4">0.2</oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math id="M133" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.1</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Prec</oasis:entry>  
         <oasis:entry colname="col2">0.1</oasis:entry>  
         <oasis:entry colname="col3"><inline-formula><mml:math id="M134" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula><bold>0.8</bold></oasis:entry>  
         <oasis:entry colname="col4">0.2</oasis:entry>  
         <oasis:entry colname="col5">0</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Wind</oasis:entry>  
         <oasis:entry colname="col2">0</oasis:entry>  
         <oasis:entry colname="col3"><bold>0.4</bold></oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math id="M135" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.3</oasis:entry>  
         <oasis:entry colname="col5"><bold>0.4</bold></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Eigenvalues</oasis:entry>  
         <oasis:entry colname="col2">3.8</oasis:entry>  
         <oasis:entry colname="col3">3.2</oasis:entry>  
         <oasis:entry colname="col4">2.1</oasis:entry>  
         <oasis:entry colname="col5">1.6</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Expl. Var. (%)</oasis:entry>  
         <oasis:entry colname="col2">30</oasis:entry>  
         <oasis:entry colname="col3">16</oasis:entry>  
         <oasis:entry colname="col4">10</oasis:entry>  
         <oasis:entry colname="col5">8</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup><?xmltex \end{scaleboxenv}?></oasis:table></table-wrap>

</sec>
</sec>
<sec id="Ch1.S5">
  <title>Discussion</title>
<sec id="Ch1.S5.SS1">
  <title>Similar temporal variations in the tropical flora in the
western and central equatorial North Atlantic</title>
      <p>Comparable seasonal patterns in total coccolith fluxes observed at
stations M4 and M2 point to similar environmental background
conditions during the sampling period at both sites (Figs. 3
and 4). This is better expressed in Factor 2 (explaining 16 % of
the variance), showing that the overall atmospheric and oceanographic
conditions did not vary considerably between the two locations
(Fig. 7). In the tropical North Atlantic, meteorological conditions are
mostly controlled by seasonal variations in the trade winds and the
Intertropical Convergence Zone (ITCZ), the latter being a zone of low
pressure and increased cloudiness and precipitation near the Equator
(e.g. Oschlies and Garçon, 1998). The ITCZ migrates in latitude
during summer and winter months in the Northern Hemisphere, shifting
on average between 5<inline-formula><mml:math id="M136" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S during January and 12<inline-formula><mml:math id="M137" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N
during July (e.g. Basha et al., 2015; see Fig. 8). Maxima in
coccolith flux in October–November 2012 and July 2013 (Figs. 3 and 4)
appear to have occurred under the direct influence of the ITCZ. This
was especially the case in the fall months, as revealed by the
prevailing high precipitation rates, weaker winds, and low PAR
conditions during this period (Figs. 2c, d and 7; F2 negative
scores). Whereas persistently high SSTs can be interpreted as an
indicator of the generally stratified conditions typical of tropical
open-ocean regions (e.g. Mann and Lazier, 2006; Haidar and Thierstein,
2001), the highest temperature values during the fall of 2012 and from
mid-summer to the fall of 2013 suggest that stratification was the
strongest under the influence of the ITCZ, probably reflecting
the weakening of the winds during these periods. The highest coccolith
fluxes recorded under these conditions suggest that higher stability
of the photic layer favoured the development and/or the settling
of coccolithophores during these periods. In contrast, minima in
coccolith flux during the winter–spring period occurred when the ITCZ
was displaced further south of the study area, and hence surface
circulation was mostly influenced by the NE trade winds and by the
westward-flowing NEC (see Sect. 2). This appears to be reflected in
the positive correlation between wind strength and high PAR (F2
positive scores) and the negative correlation between wind and
precipitation (Fig. 7). SST minima and the intensification of the wind
during winter and spring suggest that deepening of the mixed layer due to
winter cooling combined with some wind-forced vertical mixing
(Fig. 2a, b, e, and f) could have resulted in some nutrient entrainment
from below (see Sect. 5.2.2). The lowest coccolith fluxes under these
conditions seem to indicate that enhanced wind-forced mixing was less
favourable to the productivity and/or downward transfer of coccoliths
compared to the more stable conditions in the fall and summer.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F8" specific-use="star"><caption><p>Climatological seasonal means of wind (speed and direction;
reference vector length: 3 <inline-formula><mml:math id="M138" display="inline"><mml:mrow><mml:mi mathvariant="normal">m</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">s</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>) and precipitation
rates (colour shading; mm/day) over the central-western equatorial
Atlantic Ocean for boreal <bold>(a)</bold> winter (December–February),
<bold>(b)</bold> spring (March–May), <bold>(c)</bold> summer
(June–August), and <bold>(d)</bold> autumn (September–November)
illustrating the seasonal latitudinal migrations of the
Intertropical Convergence Zone (ITCZ). Wind data (years: 1988–2015)
were obtained from the CCMP Ocean Surface Wind Vector
Analyses (Atlas et al., 2011) and precipitation data (years:
1979–2015) from the CPC Merged Analysis of Precipitation
(CMAP; Xie and Arkin, 1997). Red and black stars refer to the
location of sites M4 and M2, respectively.</p></caption>
          <?xmltex \igopts{width=426.791339pt}?><graphic xlink:href="https://bg.copernicus.org/articles/14/4577/2017/bg-14-4577-2017-f08.png"/>

        </fig>

      <p>Comparable seasonal developments in total coccolith export fluxes at
stations M2 and M4 were also reflected in the species composition.
A predominantly tropical assemblage was found throughout the
investigated period in both areas (Figs. 5 and 6), in general
agreement with previous studies from nearby tropical and subtropical
areas (Kinkel et al., 2000; Haidar and Thierstein, 2001; Winter
et al., 2002; Boeckel and Baumann, 2008; Poulton et al., 2017). It
included species considered well adapted to the high-nutrient and
low-light conditions prevailing in the LPZ, such as
<italic>F. profunda</italic>, <italic>G. flabellatus</italic>, and <italic>R. sessilis</italic>
(e.g. Okada and Honjo, 1973; Young, 1994; Haidar and Thierstein, 2001;
Winter et al., 2002), and taxa that are more often found in the
nutrient-depleted and well-illuminated UPZ, such as
<italic>Umbellosphaera</italic> spp., <italic>Rhabdosphaera</italic> spp., and
<italic>Umbilicosphaera</italic> spp. (e.g. Winter et al., 1994, 2002; Young,
1994; Haidar and Thierstein, 2001). The presence of taxa with a higher
affinity for mesotrophic conditions, such as <italic>Helicosphaera</italic>
spp. (Haidar and Thierstein, 2001; Boeckel et al., 2006; Ziveri
et al., 2004), and species with affinity with more turbulent and
eutrophic environments, such as <italic>E. huxleyi</italic>,
<italic>G. muellerae</italic>, and <italic>G. oceanica</italic> (e.g. Winter et al.,
1994, 2002; Kinkel et al., 2000; Guerreiro et al., 2013), point to
occasionally enhanced environmental variability promoting nutrient
input, as discussed in Sect. 5.2.2.</p>
      <p>In terms of seasonal patterns, however, little is known about the
living coccolithophore communities thriving in the tropical
Atlantic. In the subtropical Atlantic near Bermuda, 2200 <inline-formula><mml:math id="M139" display="inline"><mml:mi mathvariant="normal">km</mml:mi></mml:math></inline-formula>
further north, seasonal variability appears more pronounced with the
highest standing stocks from winter to spring and the lowest during summer
(Haidar and Thierstein, 2001). This is opposite to our observations in
the tropical Atlantic showing coccolith flux maxima during fall and
summer (Figs. 3 and 4). Species relative proportions are different as
well; whereas the subtropical Bermuda living coccolithophore community
was largely dominated by the fast-blooming <italic>E. huxleyi</italic>, the
settling coccolith assemblages at stations M4 and M2 were persistently
dominated by the LPZ species <italic>F. profunda</italic> and
<italic>G. flabellatus</italic> (Fig. 5). The difference between the two areas
appears to reflect the much stronger winter cooling, vertical mixing,
nutrient entrainment, and summer stratification in the subtropical
Atlantic off Bermuda compared to the more oligotrophic and
persistently stratified conditions in the tropical Atlantic (Molfino
and McIntyre, 1990; Haidar and Thierstein, 2001; Mann and Lazier, 2006
and references therein).  Nevertheless, higher
coccolith and coccosphere concentrations of <italic>F. profunda</italic> (<inline-formula><mml:math id="M140" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">30</mml:mn></mml:mrow></mml:math></inline-formula>–100 liths per sphere; Okada and Honjo, 1973) and possibly also
<italic>G. flabellatus</italic> compared to <italic>E. huxleyi</italic> (<inline-formula><mml:math id="M141" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">9</mml:mn></mml:mrow></mml:math></inline-formula>–50 liths per sphere; Cros and Fortuno, 2002) could result in
overestimation of their abundance in the traps. This means that the
dominance of the LPZ flora in the settling coccolith assemblages from
the equatorial North Atlantic may not necessarily reflect
overwhelmingly higher productivity compared to <italic>E. huxleyi</italic>
but simply a high production rate combined with higher settling of
coccoliths per cell.</p>
      <p>That <italic>F. profunda</italic> and <italic>G. flabellatus</italic> revealed similar
seasonal patterns and the highest abundances during strong stratification
conditions in fall and summer, which is consistent with observations from the
open subtropical North Atlantic (Haidar and Thierstein, 2001; Broerse
et al., 2000; Fig. 6a and b). The increase in both fluxes and
percentages during fall at both stations appears to reflect their
better adaptation to high stratification conditions and lower light
intensities compared to other species. Conversely, the increase in
several UPZ tropical species within <italic>Umbellosphaera</italic> spp.,
<italic>Rhabdosphaera</italic> spp., <italic>Helicosphaera</italic> spp., and
<italic>Umbilicosphaera</italic> spp. during summer appears to be related to
slightly higher PAR levels during this period (Figs. 2c, d and 7). The general affinity of <italic>Umbellosphaera</italic> spp.,
<italic>Rhabdosphaera</italic> spp., and <italic>Umbilicosphaera</italic> spp. for
stratified and well-illuminated conditions was also evidenced by their
higher percentages and positive correlation with PAR from late spring
to early fall at both stations (F3; Fig. 7). This is also consistent
with previous studies from other tropical and subtropical areas in the
North Atlantic (Haidar and Thierstein, 2001; Kinkel et al., 2000;
Winter et al., 2002; Poulton et al., 2017).</p>
</sec>
<sec id="Ch1.S5.SS2">
  <title>Spatial variations in coccolith fluxes: western
vs. central equatorial North Atlantic</title>
      <p>In spite of similar seasonal developments in both coccolith fluxes and
species composition, stations M2 and M4 revealed striking differences
in export fluxes by most species, pointing to the influence of
environmental factors that are specific to each location. Below we
highlight the main differences between the two areas and discuss the
factors that potentially trigger them.</p>
<sec id="Ch1.S5.SS2.SSS1">
  <title>Higher productivity and/or transfer efficiency of the
LPZ flora at the western site M4</title>
      <p>Fluxes recorded at station M4 were high not only in comparison to
station M2, but also to several other locations in the Atlantic Ocean,
including open-ocean temperate and subtropical settings
(e.g. Knappertsbusch and Brummer, 1995; Broerse et al., 2000; Sprengel
et al., 2002), areas in the vicinity of islands (Sprengel et al.,
2002), and more marginal regions, even when under the influence
of coastal upwelling (Beaufort and Heussner, 1999; Köbrich and
Baumann, 2009). Furthermore, most of these flux studies referred to
the opportunistic <italic>E. huxleyi</italic> as being the dominant species,
while the unexpectedly high total coccolith fluxes we found in the
presumably oligotrophic western equatorial North Atlantic were mostly
due to the LPZ dwellers <italic>F. profunda</italic> and
<italic>G. flabellatus</italic>. Mean fluxes of <italic>G. flabellatus</italic>, in
particular, were almost 14 times higher at M4 than at M2 (Fig. 6b,
Table 2) and contributed importantly to Factor 1, explaining the
highest percentage of the variability within the taxa and
environmental parameters (i.e. 30 %) compared to the other factors
(16, 10, and 9 % for F2, F3, and F4, respectively; Fig. 7). That F1
is clearly characterized by the opposition between the central station
M2 and the western station M4 highlights the much higher abundances of
<italic>G. flabellatus</italic> further west as the most important
feature or difference between the two sites and indicates the presence
of spatial variability shown by the LPZ flora as the statistically
more relevant factor explaining our flux records. This finding is
consistent with what it is known about the well-constrained
enhancement of this species in surface sediments from the western
equatorial Atlantic and Brazilian continental margin (Kinkel et al.,
2000; Boeckel et al., 2006). That <italic>Umbellosphaera</italic> spp.,
<italic>Rhabdosphaera</italic> spp., <italic>Umbilicosphaera</italic> spp.,
<italic>E. huxleyi</italic>, and gephyrocapsids also produced higher coccolith
fluxes in this area points to enhanced productivity throughout the
entire photic zone at M4.</p>
      <p>The persistent and overwhelming dominance of the LPZ flora suggests
profiting from some subsurface and year-round nutrient supply. Forced
by the trade winds, the westward deepening of the equatorial mixed
layer and associated nutricline (see Hastenrath and Merle, 1987;
Longhurst, 1993; Philander, 2001) could have promoted higher
production of the LPZ flora in the western equatorial Atlantic
(Fig. 10). In situ CTD and nutrient measurements at both stations do
indicate a consistently deeper nutricline at M4, particularly during
spring when the deep chlorophyll maximum (DCM) was found deeper at
station M4 compared to station M2 (data not shown; Roepert and
Brummer in Stuut et al., 2016).</p>
      <p>In addition to the westward tilting of the nutricline, changes in the
depth range of the Antarctic Intermediate Water (AAIW) flowing in from
the south-west (Reid, 1994) may have also contributed to the enhanced
fluxes of the LPZ flora further west (see
<uri>http://whp-atlas.ucsd.edu</uri> and Fig. 10). Originating from the
surface region of the Antarctic circumpolar layer, this water mass is
known to follow the South Atlantic subtropical gyre to enter the
western equatorial Atlantic (Stramma et al., 2003; Stramma and
England, 1999). It crosses the Equator and spreads along the Brazilian
shelf (Talley, 1996), contributing high nutrients and low oxygen to
the Gulf Stream and North Atlantic Current (Reid, 1994). Furthermore,
Poulton et al. (2017) have recently reported that <italic>F. profunda</italic> and
<italic>Gladiolithus</italic> spp. thrive below the depth
at which light is thought to be sufficient to support photosynthesis in
equatorial waters, probably by mechanisms of mixotrophy and/or
phagotrophy. This means that these two species may be able to live
even deeper in the water column than originally thought.</p>
      <p>Higher fluxes at station M4 may also be related to the higher production
of faecal pellets by zooplankton grazers acting as vehicles for the
downward flux of coccolithophores in this area. Recent observations by
Knebel (2016) report higher fluxes of spinose planktonic
foraminifera at station M4 compared to M2. Knappertsbusch and Brummer
(1995) argued earlier that the export of coccolithophores is
intimately related to day-to-day fluctuations in faecal pellet
production by migrating zooplankton and nekton in the overlying
mesopelagic zone. Therefore, higher zooplankton grazing in the western
equatorial North Atlantic may have increased the coccoliths' transfer
efficiency, hence contributing to the much higher coccolith fluxes
compared to the central equatorial North Atlantic (Fig. 10).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F9" specific-use="star"><caption><p><bold>(a, b)</bold> Seasonal variation in total coccolith fluxes
(black), sea surface salinity (SSS; dark blue), Chl <inline-formula><mml:math id="M142" display="inline"><mml:mi>a</mml:mi></mml:math></inline-formula>
concentrations (green), and <inline-formula><mml:math id="M143" display="inline"><mml:mrow><mml:mtext>UPZ</mml:mtext><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mo>/</mml:mo><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mtext>LPZ</mml:mtext></mml:mrow></mml:math></inline-formula> ratio (purple)
calculated from the sum of the fluxes by <italic>G. muellerae</italic>,
<italic>G. oceanica</italic>, and <italic>E. huxleyi</italic> divided by the sum of
the fluxes by <italic>F. profunda</italic> and <italic>G. flabellatus</italic>;
<bold>(c, d)</bold> fluxes of dust inferred from the residual lithogenic
fraction (orange bars) and organic material (OM, green bars)
recently published by Korte et al. (2017); <bold>(e, f)</bold>
correlation between <inline-formula><mml:math id="M144" display="inline"><mml:mrow><mml:mtext>UPZ</mml:mtext><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mo>/</mml:mo><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mtext>LPZ</mml:mtext></mml:mrow></mml:math></inline-formula>
and the dust. Dark and
light grey bands refer to fall and summer, respectively.</p></caption>
            <?xmltex \igopts{width=500.768504pt}?><graphic xlink:href="https://bg.copernicus.org/articles/14/4577/2017/bg-14-4577-2017-f09.png"/>

          </fig>

      <?xmltex \floatpos{p}?><fig id="Ch1.F10" specific-use="star"><caption><p>Schematic figure summarizing
the main environmental mechanisms interpreted as being at the
origin of the ecological contrasts observed between stations M4
and M2 from October 2012 to October–November 2013:  (A)
nutrient supply by AAIW depth range oscillations (dark blue
lowermost layer) combined with  (B) nutricline E–W
basin-scale tilting (dashed black line), promoting the development
of the LPZ species <italic>G. flabellatus</italic> and
<italic>F. profunda</italic> further west;  (C) wind-forced
surface ocean mixing and  (D) eastward dispersion of the
Amazon River Plume, resulting in transient “pulse-like”
increases in the opportunistic UPZ species <italic>E. huxleyi</italic>,
<italic>G. muellerae</italic>, and <italic>G. oceanica</italic>;  (E)
higher production of faecal pellets by zooplankton grazers (white
vertical arrow) at M4 contributing to increase the coccolith
export efficiency;  (F) Saharan dust deposition (yellow
dots) influencing the study area, particularly at M4 where the
Amazon River Plume acts as a surface density retainer of nutrients
settling from the atmosphere;  (G) sea surface Chl <inline-formula><mml:math id="M145" display="inline"><mml:mi>a</mml:mi></mml:math></inline-formula>
concentrations averaged for the sampling period in the equatorial
Atlantic Ocean illustrating the contrast between higher and lower
surface productivity at stations M4 and M2, respectively.
Abbreviations: UPZ – upper photic zone; LPZ – lower photic zone;
<italic>E. huxleyi</italic> – Eh; <italic>G. muellerae</italic> – Gm;
<italic>G. oceanica</italic> – Go; Fp – <italic>F. profunda</italic>; Gf –
<italic>G. flabellatus</italic>; TSW – tropical surface water; SACW –
South Atlantic Central Water; AAIW – Antarctic Intermediate
Water.</p></caption>
            <?xmltex \igopts{width=369.885827pt}?><graphic xlink:href="https://bg.copernicus.org/articles/14/4577/2017/bg-14-4577-2017-f10.png"/>

          </fig>

</sec>
<sec id="Ch1.S5.SS2.SSS2">
  <?xmltex \opttitle{Transient productivity of the $r$-selected UPZ flora at
the western site M4}?><title>Transient productivity of the <inline-formula><mml:math id="M146" display="inline"><mml:mi>r</mml:mi></mml:math></inline-formula>-selected UPZ flora at
the western site M4</title>
      <p>Spatial environmental variability in the equatorial North Atlantic is
most clearly expressed by the much higher fluxes and the pulsed maxima
of the more opportunistic species <italic>E. huxleyi</italic>,
<italic>G. muellerae</italic>, and <italic>G. oceanica</italic> at station M4 compared
to their persistently low abundances and weak seasonality at station
M2 (Figs. 6c, i, j, and 5). Their occurrence in the form of short-term
high-flux events in January, April, and October–November 2013 at
station M4 was associated with strikingly increasing ratios between
these species and the LPZ flora (Fig. 9). Stoll et al. (2007) have
used similar ratios as indicators of upwelling in the Bay of Bengal
based on the idea that the decrease in the LPZ flora reflects the
shallowing of the nutricline (Molfino and McIntyre, 1990; Beaufort
et al., 1997). The sporadic sharp increase in the
<inline-formula><mml:math id="M147" display="inline"><mml:mrow><mml:mtext>UPZ</mml:mtext><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mo>/</mml:mo><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mtext>LPZ</mml:mtext></mml:mrow></mml:math></inline-formula> ratio at station M4 hence suggests that the
nutricline was temporarily shallower, resulting in a fast production
response of the more opportunistic placolith-bearing species to
increased nutrient input. Higher fluxes of these UPZ taxa at station
M4 support the argument that the equatorial North Atlantic becomes
generally more productive further west.</p>
</sec>
<sec id="Ch1.S5.SS2.SSSx1" specific-use="unnumbered">
  <title>Influence of wind-forced water mixing and dispersal of
the Amazon River Plume</title>
      <p>The pronounced maximum of <italic>G. muellerae</italic> in January 2013 (samples M4-6
and M4-7; Figs. 6i and 9a) was strong enough to be reflected in Factor 3,
explaining 10 % of the variance (Fig. 7). This event occurred when the
wind had just started to intensify and PAR was gradually increasing, as
expected from the fall–winter transition in the equatorial North Atlantic
(Fig. 2). This probably resulted in some degree of vertical mixing, as
suggested by the decrease in SST, which in turn may have led to the supply of
nutrients from below the pycnocline to shallower levels in the photic zone
(see Sect. 5.1). The lack of a significant response by <italic>E. huxleyi</italic>
and <italic>G. oceanica</italic> during this period suggests that nutrient
availability was lower and/or not persistent enough for these species to
bloom. Previous studies reported <italic>G. muellerae</italic> to have an affinity
for intermediate to higher nutrient conditions in more transitional water
conditions where competition with <italic>E. huxleyi</italic> and
<italic>G. oceanica</italic> is lower (e.g. Giraudeau and Bailey, 1995; Boeckel
et al., 2006; Guerreiro et al., 2013) and to occupy a deeper position in the
photic zone than other species of the genus <italic>Gephyrocapsa</italic> (Boeckel
and Baumann, 2008; Guerreiro et al., 2013). Low surface Chl <inline-formula><mml:math id="M148" display="inline"><mml:mi>a</mml:mi></mml:math></inline-formula>
concentrations (Fig. 9a) and the absence of any significant increase in
biogenic mass fluxes during this January period (Korte et al., 2017; Fig. 9b)
point to a scenario in which only a few species profit from short-term
nutrient supply and moderate light intensities at intermediate levels in the
photic zone.</p>
      <p>Similar conditions appear to have recurred in April 2013 (sample
M4–12), with a pulsed maximum of <italic>E. huxleyi</italic> occurring under
maximum PAR and lower SST following a period of more persistent wind
strength increase that lasted from early winter until late spring
(Figs. 2, 6c, and 9). This suggests that the water masses were
stratified enough but still nutrient enriched due to previous
wind-forced vertical mixing, hence promoting favourable conditions for
blooming species to rapidly develop in the UPZ. The observed response
of <italic>E. huxleyi</italic> is consistent with previous observations from
other open-ocean areas reporting this species to dominate spring
coccolithophore blooms (Haidar and Thierstein, 2001) and to induce
enhanced coccolith fluxes (Broerse et al., 2000; Sprengel et al.,
2002) following the water mixing and concomitant
nutrient replenishment of the photic zone typical of late
winter and early spring. That <italic>E. huxleyi</italic> responded in April but
not in January suggests that it was more efficiently growing under
presumably higher nutrient availability and maximum light levels
during spring. This is consistent with previous observations of
<italic>E. huxleyi</italic> bursting into a bloom within only a few days in
response to nutrient availability and clear sky conditions in surface
waters (Guerreiro et al., 2013). The high tolerance of this species to
high levels of light has been considered crucial for its capacity to
dominate coccolithophore assemblages (Nanninga and Tyrrell, 1996;
Tyrell and Merico, 2004). Although to a lesser extent compared to
<italic>E. huxleyi,</italic> other taxa that also increased during this April
period include <italic>Helicosphaera</italic> spp., <italic>Rhabdosphaera</italic>
spp., and <italic>Umbilicosphaera</italic> spp. This event was strong enough to
be reflected in Factor F4, explaining 8 % of the variance
(Fig. 7) in enhanced total coccolith fluxes and species <inline-formula><mml:math id="M149" display="inline"><mml:mrow><mml:msup><mml:mi>H</mml:mi><mml:mo>′</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula>
(Fig. 3), and by a striking flux increase in <inline-formula><mml:math id="M150" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">CaCO</mml:mi><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>, organic
matter, and biogenic silica (Korte et al., 2017; Fig. 9b). This
suggests that nutrient and light conditions were sufficiently
favourable and persistent enough to promote the development of the
entire UPZ plankton community during this short period.</p>
      <p>The pulsed maxima of <italic>G. oceanica</italic> and <italic>E. huxleyi</italic> in
October–November 2013 (sample M4-24) were also strong enough to be
revealed by Factor 4 (Fig. 7) and by a slight increase in the total
coccolith export production (Figs. 3 and 6c, j). Higher fluxes of
these species were accompanied by increased surface Chl <inline-formula><mml:math id="M151" display="inline"><mml:mi>a</mml:mi></mml:math></inline-formula>
concentrations (Fig. 9a), pointing to high productivity in the
uppermost photic zone (Figs. 6c, j and 9a). During the SEM counting of
coccoliths throughout sample M4-24, extremely high amounts of large
diatom fragments were found, strongly supporting a scenario in which
nutrient enrichment at the surface and clear sky conditions
promoted the development of more competitive phytoplankton
species. This is further supported by a striking flux increase in
organic matter, biogenic silica, and to a lesser extent,
<inline-formula><mml:math id="M152" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">CaCO</mml:mi><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> during the same period (Korte et al., 2017;
Fig. 9b). The ability of <italic>E. huxleyi</italic> and <italic>G. oceanica</italic>
to compete with diatoms in surface waters and to rapidly respond to
nutrient availability was observed in coastal waters off central
Portugal, confirming its capacity for rapid population growth in
nutrient-rich environments (Guerreiro et al., 2013).</p>
      <p>During the fall 2013 event, SSS had dropped to a minimum of 33.9 at
station M4 compared to <inline-formula><mml:math id="M153" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">36.25</mml:mn></mml:mrow></mml:math></inline-formula> recorded at station M2 during the
same period (Figs. 2a, b and 9a, b). Since both areas are under the
influence of the ITCZ with a comparable precipitation regime (see
Fig. 8) and given that higher precipitation during the fall of 2012
at M2 was associated with much higher SSS than at M4 for the same
period (Fig. 2c and d), the distinctly lower salinity at M4 in
October–November 2013 likely reflected advected Amazon River
water (Figs. 9 and 10). A strong positive correlation between high
surface Chl <inline-formula><mml:math id="M154" display="inline"><mml:mi>a</mml:mi></mml:math></inline-formula> concentrations and the salinity minimum revealed by
Factor 2 (Fig. 7) along with the sharp increase in surface-dwelling
opportunistic species, biogenic silica, and organic matter during this
period (Fig. 9; Korte et al., 2017) suggest that this nutrient-rich
buoyant plume promoted the development of phytoplankton at the
surface of the western equatorial North Atlantic. The presence of the
plume at station M4 was also noticed in a CTD profile taken during the
recovery of the sediment trap mooring in late November 2013, showing
a relatively shallow chlorophyll maximum associated with
Amazon-related phytoplankton productivity (unpublished data, not
shown). Previous satellite observations from this area have shown the
north-eastward dispersion of the Amazon River Plume forced by the NBC
retroflection at around 5–10<inline-formula><mml:math id="M155" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, 50<inline-formula><mml:math id="M156" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W, typically
from August to December (e.g.  Muller-Karger et al., 1988; Molleri
et al., 2010; see Sect. 2). The plume resulted in a dramatic surface
salinity contrast (Wilson et al., 1994) and promoted a gradient in
environmental conditions that evolved while the plume was meandering
northward and mixing with the open-ocean waters, with a strong impact
on the magnitude and composition of phytoplankton communities
(refs. in Goes et al., 2014). The influence of the Amazon River water
on the living coccolithophore communities has been previously reported
by Winter et al. (2002) in the Caribbean Sea where enhanced cell
densities of <italic>E. huxleyi</italic> and <italic>G. oceanica</italic> were seen
coupled with this buoyant water mass. Our trap record clearly
testifies to its impact by changing the flux and species composition
of the coccolithophore communities in the oligotrophic western
equatorial North Atlantic. Furthermore, despite the limitations
of using environmental data that only represent the atmospheric
conditions and the surface of the ocean, it highlights the
remarkably good statistical correlation between surface satellite data
(i.e. drastic salinity decrease and associated increase in Chl <inline-formula><mml:math id="M157" display="inline"><mml:mi>a</mml:mi></mml:math></inline-formula>)
and enhanced coccolith fluxes of <italic>G. oceanica,</italic>
<italic>E. huxleyi,</italic> organic matter, and biogenic silica (Korte et al.,
2017) in the trap at 1200 <inline-formula><mml:math id="M158" display="inline"><mml:mi mathvariant="normal">m</mml:mi></mml:math></inline-formula> of depth.</p>
</sec>
<sec id="Ch1.S5.SS2.SSSx2" specific-use="unnumbered">
  <title>Influence of Saharan dust deposition</title>
      <p>The present-day deposition of Saharan dust has been recently quantified
based on a transatlantic array of four sediment trap moorings between
NW Africa and the Caribbean, which included mooring traps M4 and M2
(Korte et al., 2017; van der Does et al., 2016). The increase in AOD
from spring to mid-summer at both stations (Fig. 2e and f) and its
positive correlation with wind speed during this time (F2 positive
scores; Fig. 7) corresponds to the same period when Korte
et al. (2017) found the best accordance between dust outbreaks
detected from satellite and high fluxes of dust-driven lithogenic
particles.  This agrees with previous observations that transatlantic
Saharan dust fluxes are the highest during summer (e.g. Prospero et al.,
2014). Since precipitation started to increase at the beginning of
July at both stations (Fig. 2c and d), wet dust deposition probably
contributed to the observed enhanced coccolith fluxes (Figs. 3
and 4). Through the exposure of the dust particles to cloud processes and
mixing with anthropogenic species such as <inline-formula><mml:math id="M159" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">HNO</mml:mi><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> in the
atmosphere, wet dust deposition is thought to provide more
bioavailable (soluble) nutrients compared to dry dust deposition and
hence to have a greater fertilizing effect for primary production
(Ridame et al., 2014). With the exception of <italic>R. sessilis</italic>, all
the tropical taxa, including both UPZ and LPZ flora, showed
increased fluxes during the July period at both locations, suggesting that
coccolithophores benefited from the nutrient input by dust along
the entire photic zone. A positive correlation between AOD and
<italic>Helicosphaera</italic> species thought to thrive in waters of
moderately high fertility (Roth and Bergen, 1975; Haidar and
Thierstein, 2001; Boeckel et al., 2006) points to an ecological
response to increased nutrient levels in July (F2; Fig. 7).
Whereas <italic>E. huxleyi</italic> and <italic>G. oceanica</italic> also slightly
increased during this period, one would expect these species to have
a more significant response compared to the tropical assemblage. This
was, however, not the case, suggesting that the dust acted more as
a ballast than as a fertilizer during summer.</p>
      <p>Two prominent dust flux peaks not detected by satellite were
recorded in April and October–November of 2013 at station M4 (Korte
et al., 2017), precisely when <italic>E. huxleyi</italic> and
<italic>G. oceanica</italic> revealed a pulse-like increase in abundance
(Figs. 6c, j and 9). This points to a scenario in which Saharan dust also
acted as a nutrient fertilizer in this area in addition to
surface–ocean mixing (spring) and the discharge and advection of the
Amazon River Plume (fall). In fact, our observations suggest that the
Amazon acted not only as a nutrient supplier during fall, but also as
a buoyant surface density retainer of dust nutrients in the surface
layer. Such a combination would explain the much higher fluxes of
biogenic silica reported for this period by Korte et al. (2017)
and the drastic increase in Chl <inline-formula><mml:math id="M160" display="inline"><mml:mi>a</mml:mi></mml:math></inline-formula> at the surface of the ocean
(Figs. 2a and 9a). A similar case was observed offshore of central
Portugal where the stabilization of a river buoyant plume was seen
providing optimum stratification and nutrient-rich conditions for
phytoplankton to bloom at the surface, resulting in a striking
increase in Chl <inline-formula><mml:math id="M161" display="inline"><mml:mi>a</mml:mi></mml:math></inline-formula> concentrations, <italic>E. huxleyi</italic>,
<italic>G. oceanica</italic>, and long-chain diatoms within only a few days
(Guerreiro et al., 2013). Given the huge amounts of Saharan dust continuously blown
into and over the Atlantic Ocean (e.g. Prospero et al.,
2014), one could argue that the massive algal blooms reported to occur
in the western equatorial North Atlantic, until now interpreted as
being solely associated with nutrients provided by the Amazon, could
actually result from the combination of surface buoyancy and nutrients
provided by atmospheric dust deposition. In addition, the fall event
was also marked by high precipitation rates, possibly resulting in
higher nutrient bioavailability by means of wet dust deposition. In
contrast, the Amazon Plume was not yet present in the study area
during spring and the nearly non-existent precipitation possibly
resulted in comparably lower nutrient bioavailability by dry dust
deposition (see Ridame et al., 2014). Such differences in
atmospheric–sea surface conditions between the two events apparently
had an effect on phytoplankton species composition, resulting in
higher development of several opportunist phytoplankton species during
the fall and only <italic>E. huxleyi</italic> during spring.</p>
      <p>The observed short-term shift from a more typically tropical (<inline-formula><mml:math id="M162" display="inline"><mml:mi>K</mml:mi></mml:math></inline-formula>-selected)
to a more opportunistic (<inline-formula><mml:math id="M163" display="inline"><mml:mi>r</mml:mi></mml:math></inline-formula>-selected) settling coccolith assemblage during
April and October–November 2013 at station M4 supports the dust
fertilization hypothesis earlier proposed by Martin (1990) and later
corroborated by observations from the Amazon Basin (Bristow et al., 2010),
the Gulf of Mexico, and the coast of southern Florida (Lenes et al., 2012).
High fluxes of organic material recently observed in a sediment trap in the
North Atlantic subtropical gyre (23<inline-formula><mml:math id="M164" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, 41<inline-formula><mml:math id="M165" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W) have been
associated with enhanced phytoplankton productivity resulting from stimulated
nitrogen fixation by <italic>Trichodesmium</italic> species following the deposition
of dust-derived nutrients (Pabortsava et al., 2017). The role of aeolian dust
for nitrogen fixation in subtropical and tropical oligotrophic regions has
been previously reported by several authors (e.g. Falkowski et al., 1998;
Mills et al., 2004; Jickels et al., 2005 and refs. therein; Martino et al.,
2014). In the tropical North Atlantic where phytoplankton communities are
nitrogen limited, experiments conducted by Mills et al. (2004) have shown
Saharan dust addition to stimulate nitrogen fixation in this area, presumably
by supplying iron and phosphorous. This is supported by Baker et al. (2006),
who reported soluble phosphorous concentrations to be the highest in Saharan
aerosols from the North Atlantic. Guieu et al. (2014), on the other hand,
report the importance of strong and short-term (pulse-like) dust deposition
events for marine productivity in low-nutrient, low-chlorophyll (LNLC) areas,
whereas Romero et al. (2011) add that when dust input is accompanied by
turbulence (i.e. strong winds), its potential fertilizing effects on
phytoplankton are prone to be amplified. This fits well with the episodic
nature of the dust deposition events at station M4 and the fact that they
were accompanied by some degree of wind intensification.</p>
      <p>In spite of all this evidence, mineral dust deposition is also thought to
increase carbon sequestration to the deep ocean by acting as a mineral
ballast of sinking particles (Pabortsava et al., 2017). Van der Jagt
et al. (2017) report more abundant and faster-sinking aggregates when formed
from a natural plankton community that has been exposed to Saharan dust
deposition compared to less abundant and slower-sinking aggregates when
formed without dust. The same authors argue that such dust-influenced
aggregates would become heavily ballasted with lithogenic material at the
surface and hence without scavenging any additional particles during their
settling. This could at least partially explain why the dust peaks in spring
and fall were marked by maxima of surface-dwelling species but not maxima of
the deep-dwelling species. To confirm whether the pulsed flux maxima of
opportunistic species presented in our study truly reflected the response of
living coccolithophores thriving in the overlying photic layer to such a
combination of factors (ecological signal) or resulted from enhanced particle
transfer efficiency (e.g. ballasting by dust; faecal pellet production by
zooplankton grazers; Armstrong et al., 2002; Ziveri et al., 2007; Fischer and
Karakas, 2009; Fischer et al., 2016), a comparison between settling coccolith
assemblages and the living coccolithophore communities as well as with in
situ atmospheric–oceanographic observations would be required.</p>
      <p>Whereas the spring and fall <inline-formula><mml:math id="M166" display="inline"><mml:mi>r</mml:mi></mml:math></inline-formula>-selected pulse events were
accompanied by a slight increase in the total coccolith export, such
an increase was never as high as in the peaks of November 2012 and
July 2013 (see Sects. 4.1 and 5.1). This suggests that <inline-formula><mml:math id="M167" display="inline"><mml:mi>r</mml:mi></mml:math></inline-formula>-selected
transient productivity is comparably less important than tropical
background productivity for the overall bulk coccolith export
production in the equatorial North Atlantic. Our observations indicate
that enhanced productivity and/or transfer efficiency in the LPZ in
the context of highly stratified tropical regions may be at least as
important from a long-term perspective as that of the fast-blooming taxa
more often found at higher latitudes and within productive
coastal neritic areas.</p>
</sec>
<sec id="Ch1.S5.SS2.SSS3">
  <title>Typical oligotrophic open-ocean conditions at the
central site M2</title>
      <p>In contrast to station M4, persistently lower abundances of opportunistic
coccolithophore species, in particular the gephyrocapsids, and the absence of
major pulse-like increases in these species at station M2 point to comparably
more stable and oligotrophic conditions in this area. A narrower range and
lower values of the <inline-formula><mml:math id="M168" display="inline"><mml:mrow><mml:mtext>UPZ</mml:mtext><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mo>/</mml:mo><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mtext>LPZ</mml:mtext></mml:mrow></mml:math></inline-formula> ratios at station M2 suggest
that the UPZ was more persistently stratified and nutrient depleted in the
central equatorial North Atlantic (Fig. 9). An exception occurs in early
March 2013 when an increase in the <inline-formula><mml:math id="M169" display="inline"><mml:mrow><mml:mtext>UPZ</mml:mtext><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mo>/</mml:mo><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mtext>LPZ</mml:mtext></mml:mrow></mml:math></inline-formula> ratio at M2
and a species composition similar to that recorded in April at M4 is
observed. It coincides with a slight flux increase in dust and carbonate
(Korte et al., 2017), suggesting that M2 was also subjected to some degree of
wind-forced water mixing (Fig. 2c and d) combined with Saharan dust
deposition (Fig. 9). There are no indications of influence from Amazon River
water at M2, as revealed by persistently low Chl <inline-formula><mml:math id="M170" display="inline"><mml:mi>a</mml:mi></mml:math></inline-formula> concentrations at the
surface and low fluxes of opportunistic taxa during the fall of 2013
(Fig. 9a). Our observations suggest that, compared to M4, M2 was less
affected by continental influences whether from Amazon River water or Saharan
dust. The location of station M2, which is more central and 2<inline-formula><mml:math id="M171" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>
further north than station M4 closer to the centre of the North Atlantic
subtropical gyre, may have contributed to the more oligotrophic character of
this station (Fig. 10).</p>
      <p>That the evidence we found for ocean fertilization by Saharan dust is
more significant at station M4 than at station M2 may be due to the
presence of buoyant Amazon water retaining nutrients and phytoplankton
near the surface at M4 and to higher wet dust deposition
during fall 2013 at station M4 (e.g. Ridame et al., 2014; Fig. 2c
and d). A longer distance to the dust source in Africa at M4 compared to
M2 may have also contributed to increasing the bioavailability of
dust-driven nutrients further west (see Stuut and Prins, 2014). This
could also help explain the lack of clear evidence for dust
fertilization in open-ocean regions west of Africa (see Fischer
et al., 2016; Neuer et al., 2004) since aerosols sinking in these
areas would not be fine and chemically processed enough to act as
fertilizers.</p>
</sec>
</sec>
</sec>
<sec id="Ch1.S6" sec-type="conclusions">
  <title>Conclusions</title>
      <p>Our study provides important insights into the environmental factors
governing the spatio-temporal variability of coccolithophores in the
equatorial North Atlantic and illustrates how this supposedly
oligotrophic and stable open-ocean region actually reveals significant
ecological variability. The main findings from our sediment trap study
are as follows.
<list list-type="order"><list-item><p>A predominantly tropical coccolith settling assemblage and
a generally similar seasonality in total coccolith fluxes at the
western station M4 and central station M2 point to comparable
background environmental conditions at both sites. Flux maxima were
associated with stronger stratification conditions under the
influence of the Intertropical Convergence Zone (ITCZ) during
summer and fall, whereas flux minima occurred during stronger NE trade
winds and lower SSTs during winter and spring.</p></list-item><list-item><p>Low-light- and deep-nutricline-dwelling <italic>F. profunda</italic> and
<italic>G. flabellatus</italic> dominated at both locations during the
entire sampling period, especially during fall. Upper photic zone
taxa such as <italic>Umbellosphaera</italic> spp., <italic>Rhabdosphaera</italic>
spp., <italic>Helicosphaera</italic> spp., and <italic>Umbilicosphaera</italic>
spp. were more abundant during summer.</p></list-item><list-item><p>In spite of the similar seasonal pattern, the two open-ocean
locations in the oligotrophic equatorial North Atlantic revealed
striking differences in coccolith export fluxes, species
proportions, and oceanographic processes.</p></list-item><list-item><p>Total coccolith fluxes were almost 4 times higher at the western
station M4 than at the central station M2, mostly due to
<italic>G. flabellatus</italic> and <italic>F. profunda,</italic> although many
other species showed higher fluxes year-round. We interpret this as
resulting from (i) westward deepening of the north equatorial
nutricline and nutrient supply by the Antarctic Intermediate Water
(AAIW), both favouring the LPZ flora, and (ii) higher transfer
efficiency, possibly by enhanced zooplankton grazing in this area.</p></list-item><list-item><p>Higher abundances and pulsed flux maxima of more opportunistic
species at station M4 point to the occurrence of transient
productivity in this area: (a) the increase in <italic>E. huxleyi</italic>
in April reflected a fast ecological response to intermittent
nutrient input promoted by sea surface cooling and wind-forced
vertical mixing combined with dry dust deposition, whereas
(b) pulsed maxima of <italic>E. huxleyi</italic> and <italic>G. oceanica</italic> in
October–November reflected a response to surface nutrient enrichment
derived from Amazon River discharge combined with wet dust
deposition.</p></list-item><list-item><p>Enhanced surface buoyancy provided by the relatively less saline
Amazon River Plume appears to have contributed through retaining
dust-derived nutrients in the surface layer during the fall of 2013,
promoting the development of several opportunistic phytoplankton
groups in the western site M4.</p></list-item><list-item><p>In contrast, persistently low coccolith fluxes in the central
site M2, in particular of more opportunistic species, and the
absence of major <inline-formula><mml:math id="M172" display="inline"><mml:mi>r</mml:mi></mml:math></inline-formula>-selected pulsed maxima point to comparatively
more stable and oligotrophic conditions prevailing in the centres of
subtropical gyres.</p></list-item></list>
Our findings (i) provide relevant evidence to support the hypothesis
of Saharan dust acting as a fertilizer for marine phytoplankton in the
Atlantic Ocean and (ii) highlight the importance of LPZ
coccolithophore species in terms of coccolith export production in the
tropical Atlantic, with possible implications for the global oceanic
carbonate budget.</p>
</sec>

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

      <p>Data are available at
<ext-link xlink:href="10.1594/PANGAEA.881485">https://doi.org/10.1594/
PANGAEA.881485</ext-link>.</p>
  </notes><notes notes-type="competinginterests">

      <p>The authors declare that they have no conflict of
interest.</p>
  </notes><app-group>
        <supplementary-material position="anchor"><p><bold>The Supplement related to this article is available online at <inline-supplementary-material xlink:href="https://doi.org/10.5194/bg-14-4577-2017-supplement" xlink:title="pdf">https://doi.org/10.5194/bg-14-4577-2017-supplement</inline-supplementary-material>.</bold></p></supplementary-material>
        </app-group><ack><title>Acknowledgements</title><p>Moorings were deployed during RV <italic>Meteor</italic> cruise M89 and
recovered after 1 year during RV <italic>Pelagia</italic> cruise 64PE378
by the Royal Netherlands Institute for Sea Research (NIOZ) in the
framework of the ongoing multidisciplinary projects TRAFFIC,
funded by the Netherlands Organization for Scientific Research (NWO;
project no. 822.01.008), and DUSTTRAFFIC, funded by the European
Research Council (ERC; project no. 311152). Lab preparation of the
<inline-formula><mml:math id="M173" display="inline"><mml:mrow><mml:mn mathvariant="normal">1</mml:mn><mml:mo>/</mml:mo><mml:mn mathvariant="normal">5</mml:mn></mml:mrow></mml:math></inline-formula> split of the original sediment trap sample was conducted at
the NIOZ, whereas the splitting, filtering, and SEM taxonomical
analysis were performed at the Geosciences Department of the University of
Bremen, Germany. The first author benefited from a Marie Curie
post-doctoral fellowship supported by the University of Bremen and
the European Union FP7 COFUND under grant agreement
no. 600411. Regarding the satellite data
used in this study, the authors would like to acknowledge the following: the MODIS
Atmosphere Science Team, the Aerosol Retrieval Group, and the MODIS
Adaptive Processing System (MODAPS); the NASA EOSDIS Physical
Oceanography Distributed Active Archive Centre (PO.DAAC)
(<uri>http://podaac.jpl.nasa.gov/SeaSurfaceSalinity/Aquarius</uri>); and the Ocean Biology Processing Group (OBPG) and
the Atmosphere Archive and Distribution System (LAADS) at the NASA
Goddard Space Flight Center. The CCMP version 2.0 vector wind
analyses were produced by Remote Sensing Systems
(<uri>www.remss.com</uri>) and the CMAP precipitation data were provided
by NOAA/OAR/ESRL PSD, Boulder, Colorado, USA
(<uri>http://www.esrl.noaa.gov/psd/</uri>). The authors are thankful to
Leandro Ponsoni, Lluisa Cros, Oliver Knebel, and Friederike Ebersbach
for their contributions during the discussion of the
data and to Alex Poulton and two anonymous referees for their constructive
reviews.
<?xmltex \hack{\newline}?><?xmltex \hack{\newline}?>
The article processing charges for this open-access <?xmltex \hack{\newline}?> publication were covered by the University of Bremen.
<?xmltex \hack{\newline}?><?xmltex \hack{\newline}?> Edited by: Emilio
Marañón <?xmltex \hack{\newline}?> Reviewed by:
Alex Poulton and two anonymous referees</p></ack><ref-list>
    <title>References</title>

      <ref id="bib1.bib1"><label>1</label><mixed-citation>
Andruleit, H.: A filtration technique for quantitative studies of
coccoliths, Micropaleontology, 42, 403–406, 1996.</mixed-citation></ref>
      <ref id="bib1.bib2"><label>2</label><mixed-citation>
Armstrong, R. A., Lee, C., Hedges, J. I., Honjo, S., and Wakeham, S. G.: A
new, mechanistic model of organic carbon fluxes in the ocean based on the
quantitative association of POC with ballast minerals, Deep-Sea Res. Pt. II,
49, 219–236, 2002.</mixed-citation></ref>
      <ref id="bib1.bib3"><label>3</label><mixed-citation>
Atlas, R., Hoffman, R. N., Ardizzone, J., Leidner, S. M.,
Jusem, J. C., Smith, D. K., and Gombos, D.: A cross-calibrated, multiplatform ocean surface wind velocity product for meteorological and oceanographic applications, B. Am. Meteorol. Soc., 92, 157–174, 2011.</mixed-citation></ref>
      <ref id="bib1.bib4"><label>4</label><mixed-citation>
Baker, A. R., Jickells, T. D., Biswas, K. F., Weston, K., and French, M.: Nutrients in atmospheric aerosol particles along the Atlantic Meridional Transect, Deep-Sea Res. Pt. II, 53, 1706–1719, 2006.</mixed-citation></ref>
      <ref id="bib1.bib5"><label>5</label><mixed-citation>
Basha, G., Kishore, P., Venkat Ratnamc, M., Ouarda, T. B. M. J.,
Velicogna, I., and Sutterley, T.: Vertical and latitudinal variation of the intertropical convergence zone derived using GPS radio occultation measurements, Remote Sens. Environ., 163, 262–269, 2015.</mixed-citation></ref>
      <ref id="bib1.bib6"><label>6</label><mixed-citation>
Baumann, K.-H., Andruleit, H., Bockel, B., Geisen, M., and Kinkel, H.: The significance of extant coccolithophores as indicators of ocean water masses, surface water temperature, and paleoproductivity: a review, Palaeont. Z., 79, 93–112, 2005.</mixed-citation></ref>
      <ref id="bib1.bib7"><label>7</label><mixed-citation>
Beaufort, L. and Heussner, S.: Coccolithophorids on the continental slope of the Bay of Biscay – production, transport and contribution to mass fluxes, Deep-Sea Res. Pt. II, 46, 2147–2174, 1999.</mixed-citation></ref>
      <ref id="bib1.bib8"><label>8</label><mixed-citation>
Beaufort, L. and Heussner, S.: Seasonal dynamics of calcareous nannoplankton on a West European continental margin: the Bay of Biscay, Mar. Micropaleontol., 43, 27–55, 2001.</mixed-citation></ref>
      <ref id="bib1.bib9"><label>9</label><mixed-citation>
Beaufort, L., Lancelot, Y., Camberlin, P., Cayre, O., Vincent, E., Bassinot,
F., and Labeyrie, L.: Insolation Cycles as a Major Control of Equatorial
Indian Ocean Primary Production, Science, 278, 1451–1454, 1997.</mixed-citation></ref>
      <ref id="bib1.bib10"><label>10</label><mixed-citation>
Boeckel, B. and Baumann, K.-H.: Vertical and lateral variations in coccolithophore community structure across the subtropical frontal zone in the South Atlantic Ocean, Mar. Micropaleontol., 76, 255–273, 2008.</mixed-citation></ref>
      <ref id="bib1.bib11"><label>11</label><mixed-citation>
Boeckel, B., Baumann, K.-H., Henrich, R., and Kinkel, H.: Coccolith distribution patterns in South Atlantic and Southern Ocean surface sediments in relation to environmental gradients, Deep-Sea Res. Pt. I, 53, 1073–1099, 2006.</mixed-citation></ref>
      <ref id="bib1.bib12"><label>12</label><mixed-citation>
Boyle, E. A., Edmond, J. M., and Sholkovitz, E. R.: On the mechanism of iron removal in estuaries, Geoch. Geoph. Acta, 41, 1313–1324, 1977.</mixed-citation></ref>
      <ref id="bib1.bib13"><label>13</label><mixed-citation>Bristow, C. S., Hudson-Edwards, K. A., and Chappell, A.: Fertilizing the
Amazon and equatorial Atlantic with West African dust, Geophys. Res. Lett.,
37, L14807, <ext-link xlink:href="https://doi.org/10.1029/2010GL043486" ext-link-type="DOI">10.1029/2010GL043486</ext-link>, 2010.</mixed-citation></ref>
      <ref id="bib1.bib14"><label>14</label><mixed-citation>Broerse, A. T. C., Ziveri, P., van Hinte, J. E., and Honjo, S.: Coccolithophore export production, species composition and coccolith-Ca<inline-formula><mml:math id="M174" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">CO</mml:mi><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> fluxes in the NE Atlantic (34<inline-formula><mml:math id="M175" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N 21<inline-formula><mml:math id="M176" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W and, 48<inline-formula><mml:math id="M177" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N 21<inline-formula><mml:math id="M178" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W). Deep-Sea Res. Pt. II, 47, 1877–1906, 2000.</mixed-citation></ref>
      <ref id="bib1.bib15"><label>15</label><mixed-citation>Carpenter, E. J., Montoya, J. P., Burns, J., Mulholland, M. R.,
Subramaniam, A., and Capone, D. G.: Extensive bloom of a <inline-formula><mml:math id="M179" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">N</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>-fixing diatom/cyanobacterial association in the tropical Atlantic Ocean, Mar. Ecol.-Prog. Ser., 185, 273–283, 1999.</mixed-citation></ref>
      <ref id="bib1.bib16"><label>16</label><mixed-citation>
Cros, L. and Fortuño, J.-M.: Atlas of northwestern Mediterranean coccolithophores, Sci. Mar., 66, 7–182, 2002.</mixed-citation></ref>
      <ref id="bib1.bib17"><label>17</label><mixed-citation>
De Master, D. J., Kuehl, S. A., and Nittrouer, C. A.: Effects of suspended
sediments on geochemical processes near the mouth of the Amazon River:
examination of biogenic silica uptake and the fate of particle-reactive
elements, Cont. Shelf Res., 6, 107–125, 1986.</mixed-citation></ref>
      <ref id="bib1.bib18"><label>18</label><mixed-citation>
Deuser, W. G., Ross, E. H., and Anderson, R. F.: Seasonality in the supply of sediment to the deep Sargasso Sea and implications for the rapid transfer of matter to the deep ocean, Deep-Sea Res. I, 28A, 495–505, 1981.</mixed-citation></ref>
      <ref id="bib1.bib19"><label>19</label><mixed-citation>Dufois, F., Hardman-Mountford, N. J., Greenwood, J., Richardson, A. J., Feng,
M., and Matear, R. J.: Anticyclonic eddies are more productive than cyclonic
eddies in subtropical gyres because of winter mixing, Sci. Adv., 2, 1600282,
<ext-link xlink:href="https://doi.org/10.1126/sciadv.1600282" ext-link-type="DOI">10.1126/sciadv.1600282</ext-link>, 2016.</mixed-citation></ref>
      <ref id="bib1.bib20"><label>20</label><mixed-citation>
Emery, W. J. and Meincke, J.: Global water masses: summary and review,
Oceanol. Acta, 9, 383–391, 1986.</mixed-citation></ref>
      <ref id="bib1.bib21"><label>21</label><mixed-citation>
Falkowski, P. G., Barber, R. T., and Smetacek, V.: Biogeochemical Controls and Feedbacks on Ocean Primary Production, Science, 281, 200–207, 1998.</mixed-citation></ref>
      <ref id="bib1.bib22"><label>22</label><mixed-citation>Fallet, U., van Assen, C., Boer, W., Greaves, M., and Brummer, G.-J. A.: A novel application of wet-oxidation to retrieve carbonates from large organic-rich samples for ocean-Clim. Res., Geochem. Geophy. Geosy., 10, Q08004, <ext-link xlink:href="https://doi.org/10.1029/2009GC002573" ext-link-type="DOI">10.1029/2009GC002573</ext-link>, 2009.</mixed-citation></ref>
      <ref id="bib1.bib23"><label>23</label><mixed-citation>
Ffield, A.: North Brazil current rings viewed by TRMM Microwave Imager SST and the influence of the Amazon Plume, Deep-Sea Res. Pt. I, 52, 137–160, 2005.</mixed-citation></ref>
      <ref id="bib1.bib24"><label>24</label><mixed-citation>Fischer, G. and Karakaş, G.: Sinking rates and ballast composition of particles in the Atlantic Ocean: implications for the organic carbon fluxes to the deep ocean, Biogeosciences, 6, 85–102, <ext-link xlink:href="https://doi.org/10.5194/bg-6-85-2009" ext-link-type="DOI">10.5194/bg-6-85-2009</ext-link>, 2009.</mixed-citation></ref>
      <ref id="bib1.bib25"><label>25</label><mixed-citation>Fischer, G., Romero, O., Merkel, U., Donner, B., Iversen, M., Nowald, N., Ratmeyer, V., Ruhland, G., Klann, M., and Wefer, G.: Deep ocean mass fluxes in the coastal upwelling off Mauritania from 1988 to  2012: variability on seasonal to decadal timescales, Biogeosciences, 13, 3071–3090, <ext-link xlink:href="https://doi.org/10.5194/bg-13-3071-2016" ext-link-type="DOI">10.5194/bg-13-3071-2016</ext-link>, 2016.</mixed-citation></ref>
      <ref id="bib1.bib26"><label>26</label><mixed-citation>
Garzoli. S. and Katz, E. J.: The forced reversal of the Atlantic North
equatorial countercurrent, J. Phys. Oceanogr., 13, 2082–2090, 1983.</mixed-citation></ref>
      <ref id="bib1.bib27"><label>27</label><mixed-citation>
Giraudeau, J. and Bayley, G. W.: Spatial dynamics of coccolithophore
communities during an upwelling event in the Southern Benguela system, Cont. Shelf Res., 15, 1825–1852, 1995.</mixed-citation></ref>
      <ref id="bib1.bib28"><label>28</label><mixed-citation>
Goes, J. I., Gomes, H. R., Chekalyuk, A. M., Carpenter, E. J.,
Montoya, J. P., Coles, V. J., Yager, P. L., Berelson, W. M.,
Capone, D. G., Foster, R. A., Steinberg, D. K., Subramaniam, A., and Hafez, M. A.: Influence of the Amazon River discharge on the biogeography of phytoplankton communities in the western tropical north Atlantic, Prog. Oceanogr., 120, 29–40, 2014.</mixed-citation></ref>
      <ref id="bib1.bib29"><label>29</label><mixed-citation>
Goni, G. J. and Johns, W. E.: A census of North Brazil current rings observed from TOPEX/POSEIDON altimetry: 1992–1998, Geophys. Res. Lett., 28, 1–4, 2001.</mixed-citation></ref>
      <ref id="bib1.bib30"><label>30</label><mixed-citation>
Goudie, A. S. and Middleton, N. J.: Saharan dust storms: nature and consequences, Earth-Sci. Rev., 56, 179–204, 2001.</mixed-citation></ref>
      <ref id="bib1.bib31"><label>31</label><mixed-citation>
Guerreiro, C., Oliveira, A., Cachão, M., de Stigter, H.,
Sá, C., Borges, C., Cros, C., Santos, A., and Rodrigues, A.: Late
winter coccolithophore bloom off central Portugal in response to river
discharge and upwelling, Cont. Shelf Res., 59, 65–83, 2013.</mixed-citation></ref>
      <ref id="bib1.bib32"><label>32</label><mixed-citation>Guieu, C., Aumont, O., Paytan, A., Bopp, L., Law, C. S., Mahowald, N.,
Achterberg, E. P., Marañón, E., Salihoglu, B., Crise, A., Wagener,
T., Herut, B., Desboeufs, K., Kanakidou, M., Olgun, N., Peters, F.,
Pulido-Villena, E., Tovar-Sanchez, A., and Völker, C.: The significance
of the episodic nature of atmospheric deposition to Low Nutrient Low
Chlorophyll regions, Global Biogeochem. Cy., 28, 1179–1198,
<ext-link xlink:href="https://doi.org/10.1002/2014GB004852" ext-link-type="DOI">10.1002/2014GB004852</ext-link>, 2014.</mixed-citation></ref>
      <ref id="bib1.bib33"><label>33</label><mixed-citation>
Haidar, A. T. and Thierstein, H. R.: Coccolithophore dynamics off Bermuda (N. Atlantic), Deep-Sea Res. Pt. II, 48, 1925–1956, 2001.</mixed-citation></ref>
      <ref id="bib1.bib34"><label>34</label><mixed-citation>
Hastenrath, S. and Merle, J.: Annual Cycle of Subsurface Thermal Structure in the Tropical Atlantic Ocean, J. Phys. Oceanogr., 17, 1518–1538, 1987.</mixed-citation></ref>
      <ref id="bib1.bib35"><label>35</label><mixed-citation>
Honjo, S.: Seasonality and interaction of biogenic and lithogenic particle flux at the Panama Basin, Science, 281, 883–884, 1982.</mixed-citation></ref>
      <ref id="bib1.bib36"><label>36</label><mixed-citation>
Jickells, T. D., An, Z. S., Andersen, K. K., Baker, A. R., Bergametti, G.,
Brooks, N., Cao, J. J., Boyd, P. W., Duce, R. A., Hunter, K. A., Kawahata,
H., Kubilay, N., laRoche, J., Liss, P. S., Mahowald, N., Prospero, J. M.,
Ridgwell, A. J., Tegen, I., and Torres, R.: Global Iron Connections Between
Desert Dust, Ocean Biogeochemistry, and Climate, Science, 308, 67–71, 2005.</mixed-citation></ref>
      <ref id="bib1.bib37"><label>37</label><mixed-citation>
Johns, W., Lee, T., Beardsley, R. C., Candela, J., Limeburner, R., and
Castro, B.:
Annual cycle and variability of the North Brazil Current, J. Phys. Oceanogr., 28, 103–128, 1998.</mixed-citation></ref>
      <ref id="bib1.bib38"><label>38</label><mixed-citation>
Jordan, R., Cros, L., and Young, J. A revised classification scheme for living haptophytes, Micropaleontol., 50, 55–79, 2004.</mixed-citation></ref>
      <ref id="bib1.bib39"><label>39</label><mixed-citation>
Kinkel, H., Baumann, K.-H., and Cepek, M.: Coccolithophores in the equatorial
Atlantic Ocean: response to seasonal and Late Quaternary surface water
variability, Mar. Micropaleontol., 39, 87–112, 2000.</mixed-citation></ref>
      <ref id="bib1.bib40"><label>40</label><mixed-citation>
Knappertsbusch, M. and Brummer, G.-J. A.: A sediment trap investigation of sinking coccolithophores in the North Atlantic, Deep-Sea Res. I, 42, 1083–1109, 1995.</mixed-citation></ref>
      <ref id="bib1.bib41"><label>41</label><mixed-citation>
Knebel, O.: Production and export fluxes of biomineralising microplankton in
the equatorial mid North Atlantic Ocean, MSc Thesis (AM_1147, 24 ects),
Vrije Universiteit Amsterdam, Amsterdam, the Netherlands, 190 pp., 2016.</mixed-citation></ref>
      <ref id="bib1.bib42"><label>42</label><mixed-citation>
Köbrich, M. I. and Baumann, K.-H.: Coccolithophore flux in
a sediment trap off Cape Blanc (NW Africa), J. Nannoplankton Res., 30, 83–96, 2009.</mixed-citation></ref>
      <ref id="bib1.bib43"><label>43</label><mixed-citation>Köbrich, M. I., Baumann, K.-H., and Fischer, G.: Seasonal and
inter-annual dynamics of coccolithophore fluxes from the upwelling region off
Cape Blanc, NW Africa, J. Micropalaeontol., 35, 103–116,
<ext-link xlink:href="https://doi.org/10.1144/jmpaleo2014-024" ext-link-type="DOI">10.1144/jmpaleo2014-024</ext-link>, 2015.</mixed-citation></ref>
      <ref id="bib1.bib44"><label>44</label><mixed-citation>Korte, L. F., Brummer,
G.-J. A., van der Does, M., Guerreiro, C. V., Hennekam, R., van Hateren, J. A., Jong, D.,
Munday, C. I., Schouten, S., and Stuut, J.-B. W.: Downward particle fluxes of biogenic
matter and Saharan dust across the equatorial North Atlantic, Atmos. Chem. Phys., 17, 6023–6040, <ext-link xlink:href="https://doi.org/10.5194/acp-17-6023-2017" ext-link-type="DOI">10.5194/acp-17-6023-2017</ext-link>,
2017.</mixed-citation></ref>
      <ref id="bib1.bib45"><label>45</label><mixed-citation>
Lelli, L., von Hoyningen-Huene, W., Vountas, M., Jäger, M., and Burrows, J. P.: Dust deposition rates derived from optical satellite observations, Past. Glob. C., 22, 64–65, 2014.</mixed-citation></ref>
      <ref id="bib1.bib46"><label>46</label><mixed-citation>
Lenes, J. M., Prospero, J. M., Landing, W. M., Virmani, J. I., and Walsh, J. J.: A model of Saharan dust deposition to the eastern Gulf of Mexico, Mar. Chem., 134, 1–9, 2012.</mixed-citation></ref>
      <ref id="bib1.bib47"><label>47</label><mixed-citation>
Levy, R., Hsu, C., et al.: MODIS Atmosphere L2 Aerosol Product, NASA MODIS
Adaptive Processing System, Goddard Space Flight Center, USA,
2015.</mixed-citation></ref>
      <ref id="bib1.bib48"><label>48</label><mixed-citation>
Longhurst, A.: Seasonal cooling and blooming in tropical oceans, Deep-Sea Res. I, 40, 2145–2165, 1993.</mixed-citation></ref>
      <ref id="bib1.bib49"><label>49</label><mixed-citation>
Longhurst, A., Sathyendranath, S., Platt, T., and Caverhill, C.: An
estimate of global primary production in the ocean from satellite
radiometer data, J. Plankton Res., 17, 1245–1271, 1995.</mixed-citation></ref>
      <ref id="bib1.bib50"><label>50</label><mixed-citation>
Lux, M., Mercier, H., and Arhan, M.: Interhemispheric exchanges of mass and heat in the Atlantic Ocean in January–March 1993, Deep-Sea Res. I, 48, 605–638, 2001.</mixed-citation></ref>
      <ref id="bib1.bib51"><label>51</label><mixed-citation>Mahowald, N., Jickells, T. D., Baker, A. R., Artaxo, P., Benitez-Nelson, C.
R., Bergametti, G., Bond, T. C., Chen, Y., Cohen, D. D., Herut, B., Kubilay,
N., Losno, R., Luo, C., Maenhaut, W., McGee, K. A., Okin, G. S., Siefert, R.
L., and Tsukuda, S.: Global distribution of atmospheric phosphorous sources,
concentration and deposition rates, and anthropogenic impacts, Global
Biogeochem. Cy., 22, GB4026, <ext-link xlink:href="https://doi.org/10.1029/2008GB003240" ext-link-type="DOI">10.1029/2008GB003240</ext-link>, 2008.</mixed-citation></ref>
      <ref id="bib1.bib52"><label>52</label><mixed-citation>
Mahowald, N. M., Engelstaedter, S., Luo, C., Sealy, A., Artaxo, P.,
Benitez-Nelson, C., Bonnet, S., Chen, Y., Chuang, P. Y., Cohen, D. D.,
Dulac, F., Herut, B., Johansen, A. M., Kubilay, N., Losno, R.,
Maenhaut, W., Paytan, A., Prospero, J. M., Shank, L. M., and Siefert, R. L.: Atmospheric iron deposition: global distribution, variability, and human perturbations, Annu. Rev. Mar. Sci., 1, 245–278, 2009.</mixed-citation></ref>
      <ref id="bib1.bib53"><label>53</label><mixed-citation>
Mann, K. H. and Lazier, J. R.: Dynamics of Marine Ecosystems,
Biological-Physical Interactions in the Oceans, 3 Edn., Blackwell Publishing,
Malden, MA, Oxford, UK, 512 pp., 2006.</mixed-citation></ref>
      <ref id="bib1.bib54"><label>54</label><mixed-citation>
Margalef, R.: Life-forms of phytoplankton as survival alternatives in an unstable environment, Oceanol. Acta, 1, 493–509, 1978.</mixed-citation></ref>
      <ref id="bib1.bib55"><label>55</label><mixed-citation>Martin, J. H.: Glacial–Interglacial <inline-formula><mml:math id="M180" 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> change: the Iron Hypothesis, Paleoceanography, 5, 1–13, 1990.</mixed-citation></ref>
      <ref id="bib1.bib56"><label>56</label><mixed-citation>Martino, M., Hamilton, D., Baker, A. R., Jickells, T. D., Bromley, T.,
Nojiri, Y., Quack, B., and Boyd, P. W.: Western Pacific atmospheric nutrient deposition fluxes, their impact on surface ocean productivity, Global Biogeochem. Cy., 28, 712–728, <ext-link xlink:href="https://doi.org/10.1002/2013GB004794" ext-link-type="DOI">10.1002/2013GB004794</ext-link>, 2014.</mixed-citation></ref>
      <ref id="bib1.bib57"><label>57</label><mixed-citation>
Milliman, J. D.: Production and accumulation of calcium carbonate in the ocean: budget of a nonsteady state, Global Biogeochem. Cy., 7, 927–957, 1993.</mixed-citation></ref>
      <ref id="bib1.bib58"><label>58</label><mixed-citation>
Mills, M. M., Ridame, C., Davey, M., Roche, J. L., and Geider, R. J.: Iron and phosphorus co-limit nitrogen fixation in the eastern tropical North Atlantic, Nature, 429, 292–294, 2004.</mixed-citation></ref>
      <ref id="bib1.bib59"><label>59</label><mixed-citation>
Molfino, B. and McIntyre, A.: Precessional forcing of nutricline dynamics in the equatorial Atlantic, Science, 249, 766–769, 1990.</mixed-citation></ref>
      <ref id="bib1.bib60"><label>60</label><mixed-citation>
Molleri, G. S. F., Novo, E. M. L., and Kampel, M.: Space–time
variability of the Amazon River plume based on satellite ocean color, Cont. Shelf Res., 30, 342–352, 2010.</mixed-citation></ref>
      <ref id="bib1.bib61"><label>61</label><mixed-citation>
Muller-Karger, F., McClain, C., and Richardson, P.: The dispersal of the Amazon's water, Nature, 333, 56–58, 1988.</mixed-citation></ref>
      <ref id="bib1.bib62"><label>62</label><mixed-citation>
Nanninga, J. H. and Tyrrell, T.: Importance of light for the formation of algal blooms by Emiliania huxleyi, Mar. Ecol.-Prog. Ser., 136, 195–203, 1996.</mixed-citation></ref>
      <ref id="bib1.bib63"><label>63</label><mixed-citation>Neuer, S., Torres-Padron, M. E., Gelado-Caballero, M. D., Rueda, M. J.,
Hernandez-Brito, J., Davenport, R., and Wefer, G.: Dust deposition pulses to
the eastern subtropical North Atlantic gyre: Does ocean's biogeochemistry
respond?, Global Biogeochem. Cy., 18, GB4020, <ext-link xlink:href="https://doi.org/10.1029/2004GB002228" ext-link-type="DOI">10.1029/2004GB002228</ext-link>,
2004.</mixed-citation></ref>
      <ref id="bib1.bib64"><label>64</label><mixed-citation>
Okada, H. and Honjo, S.: The distribution of oceanic coccolithophorids in the Pacific, Deep-Sea Res., 20, 355–374, 1973.</mixed-citation></ref>
      <ref id="bib1.bib65"><label>65</label><mixed-citation>Okin, G. S., Baker, A. R., Tegen, I., Mahowald, N. M., Dentener, F. J., Duce,
R. A., Galloway, J. N., Hunter, K., Kanakidou, M., Kubilay, N., Prospero, J.
M., Sarin, M., Surapipith, V., Uematsu, M., and Zhu, T.: Impacts of
atmospheric nutrient deposition on marine productivity: roles of nitrogen,
phosphorous and iron, Global Biogeochem. Cy., 25, GB2022,
<ext-link xlink:href="https://doi.org/10.1029/2010GB003858" ext-link-type="DOI">10.1029/2010GB003858</ext-link>, 2011.</mixed-citation></ref>
      <ref id="bib1.bib66"><label>66</label><mixed-citation>
Oschlies, A. and Garçon, V.: Eddy-induced enhancement of primary
production in a coupled ecosystem-circulation model of the North Atlantic
Ocean, Nature, 394, 266–269, 1998.</mixed-citation></ref>
      <ref id="bib1.bib67"><label>67</label><mixed-citation>Pabortsava, K., Lampitt, R. S., Benson, J., Crowe, C., McLachlan, R., Le
Moigne, F. A. C., Moore, C. M., Pebody, C., Provost, P., Rees, A. P.,
Tilstone, G. H., and Woodward, E. M. S.: Carbon sequestration in the deep
Atlantic enhanced by Saharan dust, Nat. Geosci., 10, 189–194,
<ext-link xlink:href="https://doi.org/10.1038/ngeo2899" ext-link-type="DOI">10.1038/ngeo2899</ext-link>, 2017.</mixed-citation></ref>
      <ref id="bib1.bib68"><label>68</label><mixed-citation>Philander, S. G.: Atlantic Ocean Equatorial Currents, Encyclopedia of Ocean
Sciences 2001, 188–191, <ext-link xlink:href="https://doi.org/10.1006/rwos.2001.0361" ext-link-type="DOI">10.1006/rwos.2001.0361</ext-link>, 2001.</mixed-citation></ref>
      <ref id="bib1.bib69"><label>69</label><mixed-citation>Poulton, A. J., Holligan, P. M., Charalampopoulou, A., and Adey, T. R.:
Coccolithophore ecology in the tropical and subtropical Atlantic Ocean: new
perspectives from the Atlantic Meridional Transect (AMT) programme, Prog.
Oceanogr., <ext-link xlink:href="https://doi.org/10.1016/j.pocean.2017.01.003" ext-link-type="DOI">10.1016/j.pocean.2017.01.003</ext-link>, 2017.</mixed-citation></ref>
      <ref id="bib1.bib70"><label>70</label><mixed-citation>
Prospero, J., Collard, F-X., Molinié, J., and Jeannot, A.: Characterizing the annual cycle of African dust transport to the Caribbean Basin and South America and its impact on the environment and air quality, Global Biogeochem. Cy., 29, 757–773, 2014.</mixed-citation></ref>
      <ref id="bib1.bib71"><label>71</label><mixed-citation>
Reid, J. L.: On the total geostrophic circulation of the North Atlantic Ocean: flow patterns, tracers, and transports, Prog. Oceanogr., 33, 1–92, 1994.</mixed-citation></ref>
      <ref id="bib1.bib72"><label>72</label><mixed-citation>
Richardson, P. L. and Walsh, D.: Mapping Climatological
SeasonalVariations of Surface Currents in the Tropical Atlantic Using
Ship Drifts, J. Geophys. Res., 91, 10537–10550, 1986.</mixed-citation></ref>
      <ref id="bib1.bib73"><label>73</label><mixed-citation>Ridame, C., Dekaezemacker, J., Guieu, C., Bonnet, S., L'Helguen, S., and Malien, F.: Contrasted Saharan dust events in LNLC environments: impact on nutrient dynamics and primary production, Biogeosciences, 11, 4783–4800, <ext-link xlink:href="https://doi.org/10.5194/bg-11-4783-2014" ext-link-type="DOI">10.5194/bg-11-4783-2014</ext-link>, 2014.</mixed-citation></ref>
      <ref id="bib1.bib74"><label>74</label><mixed-citation>
Romero, O., Boeckel, B., Donner, B., Lavik, G., Fischer, G., and
Wefer, G.: Seasonal productivity dynamics in the pelagic central
Benguela System inferred from the flux of carbonate and silicate
organisms, J. Marine Syst., 37, 259–278, 2002.</mixed-citation></ref>
      <ref id="bib1.bib75"><label>75</label><mixed-citation>
Romero, E., Peters, F., Marraseì, C., Guadayol, O.,
Gasola, J. M., and Weinbauer, M. G.: Coastal Mediterranean plankton stimulation dynamics through a dust storm event: an experimental simulation, Estuar. Coast. Shelf S., 93, 27–39, 2011.</mixed-citation></ref>
      <ref id="bib1.bib76"><label>76</label><mixed-citation>
Rost, B. and Riebesell, U.: Coccolithophores and the biological pump:
responses to environmental changes. in: Coccolithophores: from
Molecular Processes to Global Impact, edited by:  Thierstein,
H. R. and Young, J. R., Springer, Berlin, 99–125, 2004.</mixed-citation></ref>
      <ref id="bib1.bib77"><label>77</label><mixed-citation>
Roth, P. H. and Berger, H.: Distribution and dissolution of coccoliths in the
South and Central Pacific, in: Dissolution of Deep-Sea Carbonates, 13, edited
by: Sliter, W. V., Be, A. W. H. and Berger, W. H., Cushman Found,
Foraminiferal Res. Spec. Pub., American Science Foundation, 87–113,
1975.</mixed-citation></ref>
      <ref id="bib1.bib78"><label>78</label><mixed-citation>
Schott, F. A., Fischer, J. and Stramma, L.: Transports and pathways of
the upper- layer circulation in the western tropical Atlantic, J. Phys. Oceanogr., 28, 1904–1928, 1998.</mixed-citation></ref>
      <ref id="bib1.bib79"><label>79</label><mixed-citation>
Sholkovitz, E. R., Boyle, E. A., and Price, N. B.: The removal of dissolved humic acids and iron during estuarine mixing, Earth Planet. Sc. Lett., 40, 130–136, 1978.</mixed-citation></ref>
      <ref id="bib1.bib80"><label>80</label><mixed-citation>
Signorini, S. R. and McClain, C. R.: Subtropical gyre variability as seen from satellites, Remote Sens. Lett., 3, 471–479, 2012.</mixed-citation></ref>
      <ref id="bib1.bib81"><label>81</label><mixed-citation>
Sprengel, C., Baumann, K.-H., Henderiks, J., Henrich, R., and Neuer, S.: Modern coccolithophore and carbonate sedimentation along a productivity gradient in the Canary Islands region: seasonal export production and surface accumulation rates, Deep-Sea Res. II, 49, 3577– 3598, 2002.</mixed-citation></ref>
      <ref id="bib1.bib82"><label>82</label><mixed-citation>
Steinmetz, J. C.:  Sedimentation of coccolithophores, in:
Coccolithophores, edited by: Winter, A., and Siesser, W., Cambridge
University Press, Cambridge, 13–37, 1994.</mixed-citation></ref>
      <ref id="bib1.bib83"><label>83</label><mixed-citation>
Stoll, H. M., Arevalos, A., Burke, A., Ziveri, P., Mortyn, G.,
Shimizu, N., and Unger, D.: Seasonal cycles in biogenic production and export in Northern Bay of Bengal sediment traps, Deep-Sea Res. II, 54, 558–580, 2007.</mixed-citation></ref>
      <ref id="bib1.bib84"><label>84</label><mixed-citation>
Stramma, L. and England, M.: On the water masses and mean circulation
of the South Atlantic Ocean, J. Geophys. Res., 104, 20863–20883, 1999.</mixed-citation></ref>
      <ref id="bib1.bib85"><label>85</label><mixed-citation>
Stramma, L. and Schott, F.: The mean flow field of the tropical Atlantic Ocean, Deep-Sea Res. II, 46, 279–303, 1999.</mixed-citation></ref>
      <ref id="bib1.bib86"><label>86</label><mixed-citation>
Stramma, L., Fischer, J., Brandt, P., and Schott, F.: Circulation,
variability and near-equatorial meridional flow in the central
tropical Atlantic, in: Interhemispheric Water Exchange in the Atlantic
Ocean, edited by:  Goni, G. J. and Malanotte-Rizzoli, P., 22 pp., 2003.</mixed-citation></ref>
      <ref id="bib1.bib87"><label>87</label><mixed-citation>
Stuut, J.-B. and Prins, M.: The significance of particle size of long-range transported mineral dust, Past Glob. Changes, 22, 70–71, 2014.</mixed-citation></ref>
      <ref id="bib1.bib88"><label>88</label><mixed-citation>
Stuut, J.-B. W., Brummer, G.-J., van der Does, M., Friese, C., Geerken, E.,
van der Heide, R., Korte, L., Koster, B., Metcalfe, B., Munday, C., van
Ooijen, J., Siccha, M., Veldhuizen, R., de Visser, J.-D., Witte, Y., and
Wuis, L.: Cruise report and preliminary results (64PE378), TRAFFIC II:
Transatlantic fluxes of Saharan dust (Las Palmas de Gran Canaria, Spain –
St. Maarten), Royal NIOZ, the Netherlands, 54 pp., 2013.</mixed-citation></ref>
      <ref id="bib1.bib89"><label>89</label><mixed-citation>
Stuut, J.-B. W., Witte, Y., de Visser, J.-D., Boersen, B., Koster, B.,
Bakker, K., Laan, P., van der Does, M., Korte, L., Munday, C., and van
Hateren, H.: Cruise report and preliminary results (64PE378), DUSTTRAFFIC
III: Transatlantic fluxes of Saharan dust (Mindelo, Sao Vicente (Cape-Verdian
Islands) – Bridgetown, Barbados), Royal NIOZ, the Netherlands, 51 pp., 2015.</mixed-citation></ref>
      <ref id="bib1.bib90"><label>90</label><mixed-citation>
Stuut, J.-B. W., Boekschoten, B., Boersen, B., Brummer, G.-J., Brussaard, C.,
de Boer, J., de Bruin, T., Jong, D., Knebel, O., Kooijman, K., Korte, L.,
Koster, B., Laan, P., Martens, M., Munday, C., Noordeloos, A., Pausch, F.,
Roepert, A., Rosell-Melé, T., Schreuder, L., Sevenster, L., van der Does,
M., Venhuizen, G., Guerreiro, C. V., and Witte, Y.: Cruise report and
preliminary results (JC134). DUSTTRAFFIC IV: Transatlantic fluxes of Saharan
dust (St. Johns, Antigua – Sta. Cruz, Tenerife, Spain), Royal NIOZ, the
Netherlands, 101 pp., 2016.</mixed-citation></ref>
      <ref id="bib1.bib91"><label>91</label><mixed-citation>
Talley, L. D.: Antarctic intermediate water in the South
Atlantic, in: The South Atlantic – Present and Past Circulation,
edited by: Wefer, G., Berger, W. H., Siedler, G. and Webb, D. J., Springer, Berlin, 219–238, 1996.</mixed-citation></ref>
      <ref id="bib1.bib92"><label>92</label><mixed-citation>Tuomisto, H.: Defining, Measuring, and Partitioning Species Diversity,
Encyclopedia of Biodiversity, 2, 434–446,
<ext-link xlink:href="https://doi.org/10.1016/B978-0-12-384719-5.00378-6" ext-link-type="DOI">10.1016/B978-0-12-384719-5.00378-6</ext-link>, 2013.</mixed-citation></ref>
      <ref id="bib1.bib93"><label>93</label><mixed-citation>
Tyrell, T. and Merico, A.: Emiliania huxleyi: bloom observations and
the conditions that induce them, in:  Coccolithophores – From
Molecular Processes to Global Impact, edited by: Thierstein, H. R. and Young, J. R., Springer, Berlin, 75–98, 2004.</mixed-citation></ref>
      <ref id="bib1.bib94"><label>94</label><mixed-citation>van der Does, M., Korte, L. F., Munday, C. I., Brummer, G.-J. A., and Stuut,
J.-B. W.: Particle size traces modern Saharan dust transport and deposition
across the equatorial North Atlantic, Atmos. Chem. Phys., 16, 13697–13710,
<ext-link xlink:href="https://doi.org/10.5194/acp-16-13697-2016" ext-link-type="DOI">10.5194/acp-16-13697-2016</ext-link>, 2016.</mixed-citation></ref>
      <ref id="bib1.bib95"><label>95</label><mixed-citation>
van der Jagt, H., Friese, C., Stuut, J.-B., W., Fischer, G., and
Iversen, M. H.: The ballasting effect of Saharan dust deposition on aggregate
dynamics and carbon export: aggregation, settling and scavenging of marine
snow, Limnol. Oceanogr., submitted, 2017.</mixed-citation></ref>
      <ref id="bib1.bib96"><label>96</label><mixed-citation>Walsh, J. J., Jolliff, J. K., Darrow, B. P., Lenes, J. M., Milroy, S. P.,
Remsen, A., Dieterle, D. A., Carder, K. L., Chen, F. R., Vargo, G. A.,
Weisberg, R. H., Fanning, K. A., Muller-Karger, F. E., Shinn, E., Steidinger,
K. A., Heil, C. A., Tomas, C. R., Prospero, J. S., Lee, T. N., Kirkpatrick,
G. J., Whitledge, T. E., Stockwell, D. A., Villareal, T. A., Jochens, A. E.,
and Bontempi, P. S.: Red tides in the Gulf of Mexico: where, when, and why?,
J. Geophys. Res., 111, C11003, <ext-link xlink:href="https://doi.org/10.1029/2004JC002813" ext-link-type="DOI">10.1029/2004JC002813</ext-link>, 2006.</mixed-citation></ref>
      <ref id="bib1.bib97"><label>97</label><mixed-citation>
Wang, X., Murtugudde, R., Hackert, E., and Marañón, E.:
Phytoplankton carbon and chlorophyll distributions in the equatorial
Pacific and Atlantic: a basin-scale comparative study, J. Marine Syst., 109–110, 138–148, 2013.</mixed-citation></ref>
      <ref id="bib1.bib98"><label>98</label><mixed-citation>
Waniek, J., Koeve1, W., and Prien, R. D.: Trajectories of sinking particles and the catchment areas above sediment traps in the northeast Atlantic, J. Mar. Res., 58, 983–1006, 2000.</mixed-citation></ref>
      <ref id="bib1.bib99"><label>99</label><mixed-citation>
Wilson, W. D., Johns, E., and Molinari, R. L.: Upper layer circulation in the western tropical North Atlantic Ocean during August 1989, J. Geophys. Res., 99, 22513–22523, 1994.</mixed-citation></ref>
      <ref id="bib1.bib100"><label>100</label><mixed-citation>Winter, A., Jordan, R., and Roth, P.: Biogeography of living
coccolithophores in ocean waters. in: Coccolithophores, edited by:  Winter, A. and Siesser, W., Cambridge Univ. Press, 161–177, 1994.
 </mixed-citation></ref><?xmltex \hack{\newpage}?>
      <ref id="bib1.bib101"><label>101</label><mixed-citation>
Winter, A., Rost, B., Hilbrecht, H., and Elbrachter, M.: Vertical and horizontal distribution of coccolithophores in the Caribbean Sea, Geo-Mar. Lett., 22, 150–161, 2002.</mixed-citation></ref>
      <ref id="bib1.bib102"><label>102</label><mixed-citation>
Xie, P. and Arkin, P. A.: Global precipitation: a 17 year monthly analysis based on gauge observations, satellite estimates, and numerical model outputs, B. Am. Meteorol. Soc., 78, 2539–2558, 1997.</mixed-citation></ref>
      <ref id="bib1.bib103"><label>103</label><mixed-citation>
Young, J.: Functions of coccoliths. in: Coccolithophores, edited by:
Winter, A. and Siesser, W., Cambridge Univ. Press, Cambridge, 63–82, 1994.</mixed-citation></ref>
      <ref id="bib1.bib104"><label>104</label><mixed-citation>Young, J. R., Bown, P. R., and Lees, J. A. (Eds.): Nannotax website,
International Nannoplankton Association,
<uri>http://www.mikrotax.org/Nannotax3/</uri>, last access: 21 September 2011.</mixed-citation></ref>
      <ref id="bib1.bib105"><label>105</label><mixed-citation>
Ziveri, P., Thunell, R. C., and Rio, D.: Export production of coccolithophores in an upwelling region: results from San Pedro Basin, Southern California Borderlands, Mar. Micropaleontol., 24, 335–358, 1995.</mixed-citation></ref>
      <ref id="bib1.bib106"><label>106</label><mixed-citation>
Ziveri, P., Baumann, K.-H., Boeckel, B., Bollmann, J., and
Young, J. R.: Biogeography of selected Holocene coccoliths in the
Atlantic Ocean. in: Coccolithophores – From Molecular Processes to
Global Impact, edited by: Thierstein, H. R. and Young, J. R., Springer, Berlin, 403–428, 2004.</mixed-citation></ref>
      <ref id="bib1.bib107"><label>107</label><mixed-citation>
Ziveri, P., de Bernard, B., Baumann, K.-H., Stoll, H. M., and Morty, P. G.:
Sinking of coccolith carbonate and potential contribution to organic carbon
ballasting in the deep ocean, Deep-Sea Res. Pt. II, 54, 659–675, 2007.</mixed-citation></ref>

  </ref-list><app-group content-type="float"><app><title/>

    </app></app-group></back>
    <!--<article-title-html>Coccolithophore fluxes in the open tropical North Atlantic: influence of thermocline depth, Amazon water, and Saharan dust</article-title-html>
<abstract-html><p class="p">Coccolithophores are calcifying phytoplankton and major contributors
to both the organic and inorganic oceanic carbon pumps. Their export
fluxes, species composition, and seasonal patterns were determined in
two sediment trap moorings (M4 at 12° N, 49° W and
M2 at 14° N, 37° W) collecting settling particles
synchronously from October 2012 to November 2013 at 1200 m
of water depth in the open equatorial North Atlantic.</p><p class="p">The two trap locations showed a similar seasonal pattern in total
coccolith export fluxes and a predominantly tropical coccolithophore
settling assemblage. Species fluxes were dominated throughout the
year by lower photic zone (LPZ) taxa (<i>Florisphaera
profunda</i>, <i>Gladiolithus flabellatus</i>) but also included
upper photic zone (UPZ) taxa (<i>Umbellosphaera</i> spp.,
<i>Rhabdosphaera</i> spp., <i>Umbilicosphaera</i> spp.,
<i>Helicosphaera</i> spp.). The LPZ flora was most abundant during
fall 2012, whereas the UPZ flora was more important during
summer. In spite of these similarities, the western part of the
study area produced persistently higher fluxes, averaging 241×10<sup>7</sup> ± 76×10<sup>7</sup> coccoliths m<sup>−2</sup> d<sup>−1</sup> at station M4 compared to
only 66×10<sup>7</sup> ± 31×10<sup>7</sup> coccoliths m<sup>−2</sup> d<sup>−1</sup> at station M2. Higher fluxes
at M4 were mainly produced by the LPZ species, favoured by the
westward deepening of the thermocline and nutricline. Still, most
UPZ species also contributed to higher fluxes, reflecting enhanced
productivity in the western equatorial North Atlantic. Such was the
case of two marked flux peaks of the more opportunistic species
<i>Gephyrocapsa muellerae</i> and <i>Emiliania huxleyi</i> in
January and April 2013 at M4, indicating a fast response to
the nutrient enrichment of the UPZ, probably by wind-forced
mixing. Later, increased fluxes of <i>G. oceanica</i> and
<i>E. huxleyi</i> in October–November 2013 coincided with the
occurrence of Amazon-River-affected surface waters. Since the spring
and fall events of 2013 were also accompanied by two dust flux peaks,
we propose a scenario in which atmospheric dust also provided
fertilizing nutrients to this area. Enhanced surface buoyancy
associated with the river plume indicates that the Amazon acted not
only as a nutrient source, but also as a surface density retainer
for nutrients supplied from the atmosphere. Nevertheless, lower
total coccolith fluxes during these events compared to the maxima
recorded in November 2012 and July 2013 indicate that transient
productivity by opportunistic species was less important than
<q>background</q> tropical productivity in the equatorial North
Atlantic. This study illustrates how two apparently similar sites in
the tropical open ocean actually differ greatly in ecological and
oceanographic terms. The results presented here provide valuable
insights into the processes governing the ecological dynamics and
the downward export of coccolithophores in the tropical North
Atlantic.</p></abstract-html>
<ref-html id="bib1.bib1"><label>1</label><mixed-citation>
Andruleit, H.: A filtration technique for quantitative studies of
coccoliths, Micropaleontology, 42, 403–406, 1996.
</mixed-citation></ref-html>
<ref-html id="bib1.bib2"><label>2</label><mixed-citation>
Armstrong, R. A., Lee, C., Hedges, J. I., Honjo, S., and Wakeham, S. G.: A
new, mechanistic model of organic carbon fluxes in the ocean based on the
quantitative association of POC with ballast minerals, Deep-Sea Res. Pt. II,
49, 219–236, 2002.
</mixed-citation></ref-html>
<ref-html id="bib1.bib3"><label>3</label><mixed-citation>
Atlas, R., Hoffman, R. N., Ardizzone, J., Leidner, S. M.,
Jusem, J. C., Smith, D. K., and Gombos, D.: A cross-calibrated, multiplatform ocean surface wind velocity product for meteorological and oceanographic applications, B. Am. Meteorol. Soc., 92, 157–174, 2011.
</mixed-citation></ref-html>
<ref-html id="bib1.bib4"><label>4</label><mixed-citation>
Baker, A. R., Jickells, T. D., Biswas, K. F., Weston, K., and French, M.: Nutrients in atmospheric aerosol particles along the Atlantic Meridional Transect, Deep-Sea Res. Pt. II, 53, 1706–1719, 2006.
</mixed-citation></ref-html>
<ref-html id="bib1.bib5"><label>5</label><mixed-citation>
Basha, G., Kishore, P., Venkat Ratnamc, M., Ouarda, T. B. M. J.,
Velicogna, I., and Sutterley, T.: Vertical and latitudinal variation of the intertropical convergence zone derived using GPS radio occultation measurements, Remote Sens. Environ., 163, 262–269, 2015.
</mixed-citation></ref-html>
<ref-html id="bib1.bib6"><label>6</label><mixed-citation>
Baumann, K.-H., Andruleit, H., Bockel, B., Geisen, M., and Kinkel, H.: The significance of extant coccolithophores as indicators of ocean water masses, surface water temperature, and paleoproductivity: a review, Palaeont. Z., 79, 93–112, 2005.
</mixed-citation></ref-html>
<ref-html id="bib1.bib7"><label>7</label><mixed-citation>
Beaufort, L. and Heussner, S.: Coccolithophorids on the continental slope of the Bay of Biscay – production, transport and contribution to mass fluxes, Deep-Sea Res. Pt. II, 46, 2147–2174, 1999.
</mixed-citation></ref-html>
<ref-html id="bib1.bib8"><label>8</label><mixed-citation>
Beaufort, L. and Heussner, S.: Seasonal dynamics of calcareous nannoplankton on a West European continental margin: the Bay of Biscay, Mar. Micropaleontol., 43, 27–55, 2001.
</mixed-citation></ref-html>
<ref-html id="bib1.bib9"><label>9</label><mixed-citation>
Beaufort, L., Lancelot, Y., Camberlin, P., Cayre, O., Vincent, E., Bassinot,
F., and Labeyrie, L.: Insolation Cycles as a Major Control of Equatorial
Indian Ocean Primary Production, Science, 278, 1451–1454, 1997.
</mixed-citation></ref-html>
<ref-html id="bib1.bib10"><label>10</label><mixed-citation>
Boeckel, B. and Baumann, K.-H.: Vertical and lateral variations in coccolithophore community structure across the subtropical frontal zone in the South Atlantic Ocean, Mar. Micropaleontol., 76, 255–273, 2008.
</mixed-citation></ref-html>
<ref-html id="bib1.bib11"><label>11</label><mixed-citation>
Boeckel, B., Baumann, K.-H., Henrich, R., and Kinkel, H.: Coccolith distribution patterns in South Atlantic and Southern Ocean surface sediments in relation to environmental gradients, Deep-Sea Res. Pt. I, 53, 1073–1099, 2006.
</mixed-citation></ref-html>
<ref-html id="bib1.bib12"><label>12</label><mixed-citation>
Boyle, E. A., Edmond, J. M., and Sholkovitz, E. R.: On the mechanism of iron removal in estuaries, Geoch. Geoph. Acta, 41, 1313–1324, 1977.
</mixed-citation></ref-html>
<ref-html id="bib1.bib13"><label>13</label><mixed-citation>
Bristow, C. S., Hudson-Edwards, K. A., and Chappell, A.: Fertilizing the
Amazon and equatorial Atlantic with West African dust, Geophys. Res. Lett.,
37, L14807, <a href="https://doi.org/10.1029/2010GL043486" target="_blank">https://doi.org/10.1029/2010GL043486</a>, 2010.
</mixed-citation></ref-html>
<ref-html id="bib1.bib14"><label>14</label><mixed-citation>
Broerse, A. T. C., Ziveri, P., van Hinte, J. E., and Honjo, S.: Coccolithophore export production, species composition and coccolith-CaCO<sub>3</sub> fluxes in the NE Atlantic (34° N 21° W and, 48° N 21° W). Deep-Sea Res. Pt. II, 47, 1877–1906, 2000.
</mixed-citation></ref-html>
<ref-html id="bib1.bib15"><label>15</label><mixed-citation>
Carpenter, E. J., Montoya, J. P., Burns, J., Mulholland, M. R.,
Subramaniam, A., and Capone, D. G.: Extensive bloom of a N<sub>2</sub>-fixing diatom/cyanobacterial association in the tropical Atlantic Ocean, Mar. Ecol.-Prog. Ser., 185, 273–283, 1999.
</mixed-citation></ref-html>
<ref-html id="bib1.bib16"><label>16</label><mixed-citation>
Cros, L. and Fortuño, J.-M.: Atlas of northwestern Mediterranean coccolithophores, Sci. Mar., 66, 7–182, 2002.
</mixed-citation></ref-html>
<ref-html id="bib1.bib17"><label>17</label><mixed-citation>
De Master, D. J., Kuehl, S. A., and Nittrouer, C. A.: Effects of suspended
sediments on geochemical processes near the mouth of the Amazon River:
examination of biogenic silica uptake and the fate of particle-reactive
elements, Cont. Shelf Res., 6, 107–125, 1986.
</mixed-citation></ref-html>
<ref-html id="bib1.bib18"><label>18</label><mixed-citation>
Deuser, W. G., Ross, E. H., and Anderson, R. F.: Seasonality in the supply of sediment to the deep Sargasso Sea and implications for the rapid transfer of matter to the deep ocean, Deep-Sea Res. I, 28A, 495–505, 1981.
</mixed-citation></ref-html>
<ref-html id="bib1.bib19"><label>19</label><mixed-citation>
Dufois, F., Hardman-Mountford, N. J., Greenwood, J., Richardson, A. J., Feng,
M., and Matear, R. J.: Anticyclonic eddies are more productive than cyclonic
eddies in subtropical gyres because of winter mixing, Sci. Adv., 2, 1600282,
<a href="https://doi.org/10.1126/sciadv.1600282" target="_blank">https://doi.org/10.1126/sciadv.1600282</a>, 2016.
</mixed-citation></ref-html>
<ref-html id="bib1.bib20"><label>20</label><mixed-citation>
Emery, W. J. and Meincke, J.: Global water masses: summary and review,
Oceanol. Acta, 9, 383–391, 1986.
</mixed-citation></ref-html>
<ref-html id="bib1.bib21"><label>21</label><mixed-citation>
Falkowski, P. G., Barber, R. T., and Smetacek, V.: Biogeochemical Controls and Feedbacks on Ocean Primary Production, Science, 281, 200–207, 1998.
</mixed-citation></ref-html>
<ref-html id="bib1.bib22"><label>22</label><mixed-citation>
Fallet, U., van Assen, C., Boer, W., Greaves, M., and Brummer, G.-J. A.: A novel application of wet-oxidation to retrieve carbonates from large organic-rich samples for ocean-Clim. Res., Geochem. Geophy. Geosy., 10, Q08004, <a href="https://doi.org/10.1029/2009GC002573" target="_blank">https://doi.org/10.1029/2009GC002573</a>, 2009.
</mixed-citation></ref-html>
<ref-html id="bib1.bib23"><label>23</label><mixed-citation>
Ffield, A.: North Brazil current rings viewed by TRMM Microwave Imager SST and the influence of the Amazon Plume, Deep-Sea Res. Pt. I, 52, 137–160, 2005.
</mixed-citation></ref-html>
<ref-html id="bib1.bib24"><label>24</label><mixed-citation>
Fischer, G. and Karakaş, G.: Sinking rates and ballast composition of particles in the Atlantic Ocean: implications for the organic carbon fluxes to the deep ocean, Biogeosciences, 6, 85–102, <a href="https://doi.org/10.5194/bg-6-85-2009" target="_blank">https://doi.org/10.5194/bg-6-85-2009</a>, 2009.
</mixed-citation></ref-html>
<ref-html id="bib1.bib25"><label>25</label><mixed-citation>
Fischer, G., Romero, O., Merkel, U., Donner, B., Iversen, M., Nowald, N., Ratmeyer, V., Ruhland, G., Klann, M., and Wefer, G.: Deep ocean mass fluxes in the coastal upwelling off Mauritania from 1988 to  2012: variability on seasonal to decadal timescales, Biogeosciences, 13, 3071–3090, <a href="https://doi.org/10.5194/bg-13-3071-2016" target="_blank">https://doi.org/10.5194/bg-13-3071-2016</a>, 2016.
</mixed-citation></ref-html>
<ref-html id="bib1.bib26"><label>26</label><mixed-citation>
Garzoli. S. and Katz, E. J.: The forced reversal of the Atlantic North
equatorial countercurrent, J. Phys. Oceanogr., 13, 2082–2090, 1983.
</mixed-citation></ref-html>
<ref-html id="bib1.bib27"><label>27</label><mixed-citation>
Giraudeau, J. and Bayley, G. W.: Spatial dynamics of coccolithophore
communities during an upwelling event in the Southern Benguela system, Cont. Shelf Res., 15, 1825–1852, 1995.
</mixed-citation></ref-html>
<ref-html id="bib1.bib28"><label>28</label><mixed-citation>
Goes, J. I., Gomes, H. R., Chekalyuk, A. M., Carpenter, E. J.,
Montoya, J. P., Coles, V. J., Yager, P. L., Berelson, W. M.,
Capone, D. G., Foster, R. A., Steinberg, D. K., Subramaniam, A., and Hafez, M. A.: Influence of the Amazon River discharge on the biogeography of phytoplankton communities in the western tropical north Atlantic, Prog. Oceanogr., 120, 29–40, 2014.
</mixed-citation></ref-html>
<ref-html id="bib1.bib29"><label>29</label><mixed-citation>
Goni, G. J. and Johns, W. E.: A census of North Brazil current rings observed from TOPEX/POSEIDON altimetry: 1992–1998, Geophys. Res. Lett., 28, 1–4, 2001.
</mixed-citation></ref-html>
<ref-html id="bib1.bib30"><label>30</label><mixed-citation>
Goudie, A. S. and Middleton, N. J.: Saharan dust storms: nature and consequences, Earth-Sci. Rev., 56, 179–204, 2001.
</mixed-citation></ref-html>
<ref-html id="bib1.bib31"><label>31</label><mixed-citation>
Guerreiro, C., Oliveira, A., Cachão, M., de Stigter, H.,
Sá, C., Borges, C., Cros, C., Santos, A., and Rodrigues, A.: Late
winter coccolithophore bloom off central Portugal in response to river
discharge and upwelling, Cont. Shelf Res., 59, 65–83, 2013.
</mixed-citation></ref-html>
<ref-html id="bib1.bib32"><label>32</label><mixed-citation>
Guieu, C., Aumont, O., Paytan, A., Bopp, L., Law, C. S., Mahowald, N.,
Achterberg, E. P., Marañón, E., Salihoglu, B., Crise, A., Wagener,
T., Herut, B., Desboeufs, K., Kanakidou, M., Olgun, N., Peters, F.,
Pulido-Villena, E., Tovar-Sanchez, A., and Völker, C.: The significance
of the episodic nature of atmospheric deposition to Low Nutrient Low
Chlorophyll regions, Global Biogeochem. Cy., 28, 1179–1198,
<a href="https://doi.org/10.1002/2014GB004852" target="_blank">https://doi.org/10.1002/2014GB004852</a>, 2014.
</mixed-citation></ref-html>
<ref-html id="bib1.bib33"><label>33</label><mixed-citation>
Haidar, A. T. and Thierstein, H. R.: Coccolithophore dynamics off Bermuda (N. Atlantic), Deep-Sea Res. Pt. II, 48, 1925–1956, 2001.
</mixed-citation></ref-html>
<ref-html id="bib1.bib34"><label>34</label><mixed-citation>
Hastenrath, S. and Merle, J.: Annual Cycle of Subsurface Thermal Structure in the Tropical Atlantic Ocean, J. Phys. Oceanogr., 17, 1518–1538, 1987.
</mixed-citation></ref-html>
<ref-html id="bib1.bib35"><label>35</label><mixed-citation>
Honjo, S.: Seasonality and interaction of biogenic and lithogenic particle flux at the Panama Basin, Science, 281, 883–884, 1982.
</mixed-citation></ref-html>
<ref-html id="bib1.bib36"><label>36</label><mixed-citation>
Jickells, T. D., An, Z. S., Andersen, K. K., Baker, A. R., Bergametti, G.,
Brooks, N., Cao, J. J., Boyd, P. W., Duce, R. A., Hunter, K. A., Kawahata,
H., Kubilay, N., laRoche, J., Liss, P. S., Mahowald, N., Prospero, J. M.,
Ridgwell, A. J., Tegen, I., and Torres, R.: Global Iron Connections Between
Desert Dust, Ocean Biogeochemistry, and Climate, Science, 308, 67–71, 2005.
</mixed-citation></ref-html>
<ref-html id="bib1.bib37"><label>37</label><mixed-citation>
Johns, W., Lee, T., Beardsley, R. C., Candela, J., Limeburner, R., and
Castro, B.:
Annual cycle and variability of the North Brazil Current, J. Phys. Oceanogr., 28, 103–128, 1998.
</mixed-citation></ref-html>
<ref-html id="bib1.bib38"><label>38</label><mixed-citation>
Jordan, R., Cros, L., and Young, J. A revised classification scheme for living haptophytes, Micropaleontol., 50, 55–79, 2004.
</mixed-citation></ref-html>
<ref-html id="bib1.bib39"><label>39</label><mixed-citation>
Kinkel, H., Baumann, K.-H., and Cepek, M.: Coccolithophores in the equatorial
Atlantic Ocean: response to seasonal and Late Quaternary surface water
variability, Mar. Micropaleontol., 39, 87–112, 2000.
</mixed-citation></ref-html>
<ref-html id="bib1.bib40"><label>40</label><mixed-citation>
Knappertsbusch, M. and Brummer, G.-J. A.: A sediment trap investigation of sinking coccolithophores in the North Atlantic, Deep-Sea Res. I, 42, 1083–1109, 1995.
</mixed-citation></ref-html>
<ref-html id="bib1.bib41"><label>41</label><mixed-citation>
Knebel, O.: Production and export fluxes of biomineralising microplankton in
the equatorial mid North Atlantic Ocean, MSc Thesis (AM_1147, 24 ects),
Vrije Universiteit Amsterdam, Amsterdam, the Netherlands, 190 pp., 2016.
</mixed-citation></ref-html>
<ref-html id="bib1.bib42"><label>42</label><mixed-citation>
Köbrich, M. I. and Baumann, K.-H.: Coccolithophore flux in
a sediment trap off Cape Blanc (NW Africa), J. Nannoplankton Res., 30, 83–96, 2009.
</mixed-citation></ref-html>
<ref-html id="bib1.bib43"><label>43</label><mixed-citation>
Köbrich, M. I., Baumann, K.-H., and Fischer, G.: Seasonal and
inter-annual dynamics of coccolithophore fluxes from the upwelling region off
Cape Blanc, NW Africa, J. Micropalaeontol., 35, 103–116,
<a href="https://doi.org/10.1144/jmpaleo2014-024" target="_blank">https://doi.org/10.1144/jmpaleo2014-024</a>, 2015.
</mixed-citation></ref-html>
<ref-html id="bib1.bib44"><label>44</label><mixed-citation>
Korte, L. F., Brummer,
G.-J. A., van der Does, M., Guerreiro, C. V., Hennekam, R., van Hateren, J. A., Jong, D.,
Munday, C. I., Schouten, S., and Stuut, J.-B. W.: Downward particle fluxes of biogenic
matter and Saharan dust across the equatorial North Atlantic, Atmos. Chem. Phys., 17, 6023–6040, <a href="https://doi.org/10.5194/acp-17-6023-2017" target="_blank">https://doi.org/10.5194/acp-17-6023-2017</a>,
2017.
</mixed-citation></ref-html>
<ref-html id="bib1.bib45"><label>45</label><mixed-citation>
Lelli, L., von Hoyningen-Huene, W., Vountas, M., Jäger, M., and Burrows, J. P.: Dust deposition rates derived from optical satellite observations, Past. Glob. C., 22, 64–65, 2014.
</mixed-citation></ref-html>
<ref-html id="bib1.bib46"><label>46</label><mixed-citation>
Lenes, J. M., Prospero, J. M., Landing, W. M., Virmani, J. I., and Walsh, J. J.: A model of Saharan dust deposition to the eastern Gulf of Mexico, Mar. Chem., 134, 1–9, 2012.
</mixed-citation></ref-html>
<ref-html id="bib1.bib47"><label>47</label><mixed-citation>
Levy, R., Hsu, C., et al.: MODIS Atmosphere L2 Aerosol Product, NASA MODIS
Adaptive Processing System, Goddard Space Flight Center, USA,
2015.
</mixed-citation></ref-html>
<ref-html id="bib1.bib48"><label>48</label><mixed-citation>
Longhurst, A.: Seasonal cooling and blooming in tropical oceans, Deep-Sea Res. I, 40, 2145–2165, 1993.
</mixed-citation></ref-html>
<ref-html id="bib1.bib49"><label>49</label><mixed-citation>
Longhurst, A., Sathyendranath, S., Platt, T., and Caverhill, C.: An
estimate of global primary production in the ocean from satellite
radiometer data, J. Plankton Res., 17, 1245–1271, 1995.
</mixed-citation></ref-html>
<ref-html id="bib1.bib50"><label>50</label><mixed-citation>
Lux, M., Mercier, H., and Arhan, M.: Interhemispheric exchanges of mass and heat in the Atlantic Ocean in January–March 1993, Deep-Sea Res. I, 48, 605–638, 2001.
</mixed-citation></ref-html>
<ref-html id="bib1.bib51"><label>51</label><mixed-citation>
Mahowald, N., Jickells, T. D., Baker, A. R., Artaxo, P., Benitez-Nelson, C.
R., Bergametti, G., Bond, T. C., Chen, Y., Cohen, D. D., Herut, B., Kubilay,
N., Losno, R., Luo, C., Maenhaut, W., McGee, K. A., Okin, G. S., Siefert, R.
L., and Tsukuda, S.: Global distribution of atmospheric phosphorous sources,
concentration and deposition rates, and anthropogenic impacts, Global
Biogeochem. Cy., 22, GB4026, <a href="https://doi.org/10.1029/2008GB003240" target="_blank">https://doi.org/10.1029/2008GB003240</a>, 2008.
</mixed-citation></ref-html>
<ref-html id="bib1.bib52"><label>52</label><mixed-citation>
Mahowald, N. M., Engelstaedter, S., Luo, C., Sealy, A., Artaxo, P.,
Benitez-Nelson, C., Bonnet, S., Chen, Y., Chuang, P. Y., Cohen, D. D.,
Dulac, F., Herut, B., Johansen, A. M., Kubilay, N., Losno, R.,
Maenhaut, W., Paytan, A., Prospero, J. M., Shank, L. M., and Siefert, R. L.: Atmospheric iron deposition: global distribution, variability, and human perturbations, Annu. Rev. Mar. Sci., 1, 245–278, 2009.
</mixed-citation></ref-html>
<ref-html id="bib1.bib53"><label>53</label><mixed-citation>
Mann, K. H. and Lazier, J. R.: Dynamics of Marine Ecosystems,
Biological-Physical Interactions in the Oceans, 3 Edn., Blackwell Publishing,
Malden, MA, Oxford, UK, 512 pp., 2006.
</mixed-citation></ref-html>
<ref-html id="bib1.bib54"><label>54</label><mixed-citation>
Margalef, R.: Life-forms of phytoplankton as survival alternatives in an unstable environment, Oceanol. Acta, 1, 493–509, 1978.
</mixed-citation></ref-html>
<ref-html id="bib1.bib55"><label>55</label><mixed-citation>
Martin, J. H.: Glacial–Interglacial CO<sub>2</sub> change: the Iron Hypothesis, Paleoceanography, 5, 1–13, 1990.
</mixed-citation></ref-html>
<ref-html id="bib1.bib56"><label>56</label><mixed-citation>
Martino, M., Hamilton, D., Baker, A. R., Jickells, T. D., Bromley, T.,
Nojiri, Y., Quack, B., and Boyd, P. W.: Western Pacific atmospheric nutrient deposition fluxes, their impact on surface ocean productivity, Global Biogeochem. Cy., 28, 712–728, <a href="https://doi.org/10.1002/2013GB004794" target="_blank">https://doi.org/10.1002/2013GB004794</a>, 2014.
</mixed-citation></ref-html>
<ref-html id="bib1.bib57"><label>57</label><mixed-citation>
Milliman, J. D.: Production and accumulation of calcium carbonate in the ocean: budget of a nonsteady state, Global Biogeochem. Cy., 7, 927–957, 1993.
</mixed-citation></ref-html>
<ref-html id="bib1.bib58"><label>58</label><mixed-citation>
Mills, M. M., Ridame, C., Davey, M., Roche, J. L., and Geider, R. J.: Iron and phosphorus co-limit nitrogen fixation in the eastern tropical North Atlantic, Nature, 429, 292–294, 2004.
</mixed-citation></ref-html>
<ref-html id="bib1.bib59"><label>59</label><mixed-citation>
Molfino, B. and McIntyre, A.: Precessional forcing of nutricline dynamics in the equatorial Atlantic, Science, 249, 766–769, 1990.
</mixed-citation></ref-html>
<ref-html id="bib1.bib60"><label>60</label><mixed-citation>
Molleri, G. S. F., Novo, E. M. L., and Kampel, M.: Space–time
variability of the Amazon River plume based on satellite ocean color, Cont. Shelf Res., 30, 342–352, 2010.
</mixed-citation></ref-html>
<ref-html id="bib1.bib61"><label>61</label><mixed-citation>
Muller-Karger, F., McClain, C., and Richardson, P.: The dispersal of the Amazon's water, Nature, 333, 56–58, 1988.
</mixed-citation></ref-html>
<ref-html id="bib1.bib62"><label>62</label><mixed-citation>
Nanninga, J. H. and Tyrrell, T.: Importance of light for the formation of algal blooms by Emiliania huxleyi, Mar. Ecol.-Prog. Ser., 136, 195–203, 1996.
</mixed-citation></ref-html>
<ref-html id="bib1.bib63"><label>63</label><mixed-citation>
Neuer, S., Torres-Padron, M. E., Gelado-Caballero, M. D., Rueda, M. J.,
Hernandez-Brito, J., Davenport, R., and Wefer, G.: Dust deposition pulses to
the eastern subtropical North Atlantic gyre: Does ocean's biogeochemistry
respond?, Global Biogeochem. Cy., 18, GB4020, <a href="https://doi.org/10.1029/2004GB002228" target="_blank">https://doi.org/10.1029/2004GB002228</a>,
2004.
</mixed-citation></ref-html>
<ref-html id="bib1.bib64"><label>64</label><mixed-citation>
Okada, H. and Honjo, S.: The distribution of oceanic coccolithophorids in the Pacific, Deep-Sea Res., 20, 355–374, 1973.
</mixed-citation></ref-html>
<ref-html id="bib1.bib65"><label>65</label><mixed-citation>
Okin, G. S., Baker, A. R., Tegen, I., Mahowald, N. M., Dentener, F. J., Duce,
R. A., Galloway, J. N., Hunter, K., Kanakidou, M., Kubilay, N., Prospero, J.
M., Sarin, M., Surapipith, V., Uematsu, M., and Zhu, T.: Impacts of
atmospheric nutrient deposition on marine productivity: roles of nitrogen,
phosphorous and iron, Global Biogeochem. Cy., 25, GB2022,
<a href="https://doi.org/10.1029/2010GB003858" target="_blank">https://doi.org/10.1029/2010GB003858</a>, 2011.
</mixed-citation></ref-html>
<ref-html id="bib1.bib66"><label>66</label><mixed-citation>
Oschlies, A. and Garçon, V.: Eddy-induced enhancement of primary
production in a coupled ecosystem-circulation model of the North Atlantic
Ocean, Nature, 394, 266–269, 1998.
</mixed-citation></ref-html>
<ref-html id="bib1.bib67"><label>67</label><mixed-citation>
Pabortsava, K., Lampitt, R. S., Benson, J., Crowe, C., McLachlan, R., Le
Moigne, F. A. C., Moore, C. M., Pebody, C., Provost, P., Rees, A. P.,
Tilstone, G. H., and Woodward, E. M. S.: Carbon sequestration in the deep
Atlantic enhanced by Saharan dust, Nat. Geosci., 10, 189–194,
<a href="https://doi.org/10.1038/ngeo2899" target="_blank">https://doi.org/10.1038/ngeo2899</a>, 2017.
</mixed-citation></ref-html>
<ref-html id="bib1.bib68"><label>68</label><mixed-citation>
Philander, S. G.: Atlantic Ocean Equatorial Currents, Encyclopedia of Ocean
Sciences 2001, 188–191, <a href="https://doi.org/10.1006/rwos.2001.0361" target="_blank">https://doi.org/10.1006/rwos.2001.0361</a>, 2001.
</mixed-citation></ref-html>
<ref-html id="bib1.bib69"><label>69</label><mixed-citation>
Poulton, A. J., Holligan, P. M., Charalampopoulou, A., and Adey, T. R.:
Coccolithophore ecology in the tropical and subtropical Atlantic Ocean: new
perspectives from the Atlantic Meridional Transect (AMT) programme, Prog.
Oceanogr., <a href="https://doi.org/10.1016/j.pocean.2017.01.003" target="_blank">https://doi.org/10.1016/j.pocean.2017.01.003</a>, 2017.
</mixed-citation></ref-html>
<ref-html id="bib1.bib70"><label>70</label><mixed-citation>
Prospero, J., Collard, F-X., Molinié, J., and Jeannot, A.: Characterizing the annual cycle of African dust transport to the Caribbean Basin and South America and its impact on the environment and air quality, Global Biogeochem. Cy., 29, 757–773, 2014.
</mixed-citation></ref-html>
<ref-html id="bib1.bib71"><label>71</label><mixed-citation>
Reid, J. L.: On the total geostrophic circulation of the North Atlantic Ocean: flow patterns, tracers, and transports, Prog. Oceanogr., 33, 1–92, 1994.
</mixed-citation></ref-html>
<ref-html id="bib1.bib72"><label>72</label><mixed-citation>
Richardson, P. L. and Walsh, D.: Mapping Climatological
SeasonalVariations of Surface Currents in the Tropical Atlantic Using
Ship Drifts, J. Geophys. Res., 91, 10537–10550, 1986.
</mixed-citation></ref-html>
<ref-html id="bib1.bib73"><label>73</label><mixed-citation>
Ridame, C., Dekaezemacker, J., Guieu, C., Bonnet, S., L'Helguen, S., and Malien, F.: Contrasted Saharan dust events in LNLC environments: impact on nutrient dynamics and primary production, Biogeosciences, 11, 4783–4800, <a href="https://doi.org/10.5194/bg-11-4783-2014" target="_blank">https://doi.org/10.5194/bg-11-4783-2014</a>, 2014.
</mixed-citation></ref-html>
<ref-html id="bib1.bib74"><label>74</label><mixed-citation>
Romero, O., Boeckel, B., Donner, B., Lavik, G., Fischer, G., and
Wefer, G.: Seasonal productivity dynamics in the pelagic central
Benguela System inferred from the flux of carbonate and silicate
organisms, J. Marine Syst., 37, 259–278, 2002.
</mixed-citation></ref-html>
<ref-html id="bib1.bib75"><label>75</label><mixed-citation>
Romero, E., Peters, F., Marraseì, C., Guadayol, O.,
Gasola, J. M., and Weinbauer, M. G.: Coastal Mediterranean plankton stimulation dynamics through a dust storm event: an experimental simulation, Estuar. Coast. Shelf S., 93, 27–39, 2011.
</mixed-citation></ref-html>
<ref-html id="bib1.bib76"><label>76</label><mixed-citation>
Rost, B. and Riebesell, U.: Coccolithophores and the biological pump:
responses to environmental changes. in: Coccolithophores: from
Molecular Processes to Global Impact, edited by:  Thierstein,
H. R. and Young, J. R., Springer, Berlin, 99–125, 2004.
</mixed-citation></ref-html>
<ref-html id="bib1.bib77"><label>77</label><mixed-citation>
Roth, P. H. and Berger, H.: Distribution and dissolution of coccoliths in the
South and Central Pacific, in: Dissolution of Deep-Sea Carbonates, 13, edited
by: Sliter, W. V., Be, A. W. H. and Berger, W. H., Cushman Found,
Foraminiferal Res. Spec. Pub., American Science Foundation, 87–113,
1975.
</mixed-citation></ref-html>
<ref-html id="bib1.bib78"><label>78</label><mixed-citation>
Schott, F. A., Fischer, J. and Stramma, L.: Transports and pathways of
the upper- layer circulation in the western tropical Atlantic, J. Phys. Oceanogr., 28, 1904–1928, 1998.
</mixed-citation></ref-html>
<ref-html id="bib1.bib79"><label>79</label><mixed-citation>
Sholkovitz, E. R., Boyle, E. A., and Price, N. B.: The removal of dissolved humic acids and iron during estuarine mixing, Earth Planet. Sc. Lett., 40, 130–136, 1978.
</mixed-citation></ref-html>
<ref-html id="bib1.bib80"><label>80</label><mixed-citation>
Signorini, S. R. and McClain, C. R.: Subtropical gyre variability as seen from satellites, Remote Sens. Lett., 3, 471–479, 2012.
</mixed-citation></ref-html>
<ref-html id="bib1.bib81"><label>81</label><mixed-citation>
Sprengel, C., Baumann, K.-H., Henderiks, J., Henrich, R., and Neuer, S.: Modern coccolithophore and carbonate sedimentation along a productivity gradient in the Canary Islands region: seasonal export production and surface accumulation rates, Deep-Sea Res. II, 49, 3577– 3598, 2002.
</mixed-citation></ref-html>
<ref-html id="bib1.bib82"><label>82</label><mixed-citation>
Steinmetz, J. C.:  Sedimentation of coccolithophores, in:
Coccolithophores, edited by: Winter, A., and Siesser, W., Cambridge
University Press, Cambridge, 13–37, 1994.
</mixed-citation></ref-html>
<ref-html id="bib1.bib83"><label>83</label><mixed-citation>
Stoll, H. M., Arevalos, A., Burke, A., Ziveri, P., Mortyn, G.,
Shimizu, N., and Unger, D.: Seasonal cycles in biogenic production and export in Northern Bay of Bengal sediment traps, Deep-Sea Res. II, 54, 558–580, 2007.
</mixed-citation></ref-html>
<ref-html id="bib1.bib84"><label>84</label><mixed-citation>
Stramma, L. and England, M.: On the water masses and mean circulation
of the South Atlantic Ocean, J. Geophys. Res., 104, 20863–20883, 1999.
</mixed-citation></ref-html>
<ref-html id="bib1.bib85"><label>85</label><mixed-citation>
Stramma, L. and Schott, F.: The mean flow field of the tropical Atlantic Ocean, Deep-Sea Res. II, 46, 279–303, 1999.
</mixed-citation></ref-html>
<ref-html id="bib1.bib86"><label>86</label><mixed-citation>
Stramma, L., Fischer, J., Brandt, P., and Schott, F.: Circulation,
variability and near-equatorial meridional flow in the central
tropical Atlantic, in: Interhemispheric Water Exchange in the Atlantic
Ocean, edited by:  Goni, G. J. and Malanotte-Rizzoli, P., 22 pp., 2003.
</mixed-citation></ref-html>
<ref-html id="bib1.bib87"><label>87</label><mixed-citation>
Stuut, J.-B. and Prins, M.: The significance of particle size of long-range transported mineral dust, Past Glob. Changes, 22, 70–71, 2014.
</mixed-citation></ref-html>
<ref-html id="bib1.bib88"><label>88</label><mixed-citation>
Stuut, J.-B. W., Brummer, G.-J., van der Does, M., Friese, C., Geerken, E.,
van der Heide, R., Korte, L., Koster, B., Metcalfe, B., Munday, C., van
Ooijen, J., Siccha, M., Veldhuizen, R., de Visser, J.-D., Witte, Y., and
Wuis, L.: Cruise report and preliminary results (64PE378), TRAFFIC II:
Transatlantic fluxes of Saharan dust (Las Palmas de Gran Canaria, Spain –
St. Maarten), Royal NIOZ, the Netherlands, 54 pp., 2013.
</mixed-citation></ref-html>
<ref-html id="bib1.bib89"><label>89</label><mixed-citation>
Stuut, J.-B. W., Witte, Y., de Visser, J.-D., Boersen, B., Koster, B.,
Bakker, K., Laan, P., van der Does, M., Korte, L., Munday, C., and van
Hateren, H.: Cruise report and preliminary results (64PE378), DUSTTRAFFIC
III: Transatlantic fluxes of Saharan dust (Mindelo, Sao Vicente (Cape-Verdian
Islands) – Bridgetown, Barbados), Royal NIOZ, the Netherlands, 51 pp., 2015.
</mixed-citation></ref-html>
<ref-html id="bib1.bib90"><label>90</label><mixed-citation>
Stuut, J.-B. W., Boekschoten, B., Boersen, B., Brummer, G.-J., Brussaard, C.,
de Boer, J., de Bruin, T., Jong, D., Knebel, O., Kooijman, K., Korte, L.,
Koster, B., Laan, P., Martens, M., Munday, C., Noordeloos, A., Pausch, F.,
Roepert, A., Rosell-Melé, T., Schreuder, L., Sevenster, L., van der Does,
M., Venhuizen, G., Guerreiro, C. V., and Witte, Y.: Cruise report and
preliminary results (JC134). DUSTTRAFFIC IV: Transatlantic fluxes of Saharan
dust (St. Johns, Antigua – Sta. Cruz, Tenerife, Spain), Royal NIOZ, the
Netherlands, 101 pp., 2016.
</mixed-citation></ref-html>
<ref-html id="bib1.bib91"><label>91</label><mixed-citation>
Talley, L. D.: Antarctic intermediate water in the South
Atlantic, in: The South Atlantic – Present and Past Circulation,
edited by: Wefer, G., Berger, W. H., Siedler, G. and Webb, D. J., Springer, Berlin, 219–238, 1996.
</mixed-citation></ref-html>
<ref-html id="bib1.bib92"><label>92</label><mixed-citation>
Tuomisto, H.: Defining, Measuring, and Partitioning Species Diversity,
Encyclopedia of Biodiversity, 2, 434–446,
<a href="https://doi.org/10.1016/B978-0-12-384719-5.00378-6" target="_blank">https://doi.org/10.1016/B978-0-12-384719-5.00378-6</a>, 2013.
</mixed-citation></ref-html>
<ref-html id="bib1.bib93"><label>93</label><mixed-citation>
Tyrell, T. and Merico, A.: Emiliania huxleyi: bloom observations and
the conditions that induce them, in:  Coccolithophores – From
Molecular Processes to Global Impact, edited by: Thierstein, H. R. and Young, J. R., Springer, Berlin, 75–98, 2004.
</mixed-citation></ref-html>
<ref-html id="bib1.bib94"><label>94</label><mixed-citation>
van der Does, M., Korte, L. F., Munday, C. I., Brummer, G.-J. A., and Stuut,
J.-B. W.: Particle size traces modern Saharan dust transport and deposition
across the equatorial North Atlantic, Atmos. Chem. Phys., 16, 13697–13710,
<a href="https://doi.org/10.5194/acp-16-13697-2016" target="_blank">https://doi.org/10.5194/acp-16-13697-2016</a>, 2016.
</mixed-citation></ref-html>
<ref-html id="bib1.bib95"><label>95</label><mixed-citation>
van der Jagt, H., Friese, C., Stuut, J.-B., W., Fischer, G., and
Iversen, M. H.: The ballasting effect of Saharan dust deposition on aggregate
dynamics and carbon export: aggregation, settling and scavenging of marine
snow, Limnol. Oceanogr., submitted, 2017.
</mixed-citation></ref-html>
<ref-html id="bib1.bib96"><label>96</label><mixed-citation>
Walsh, J. J., Jolliff, J. K., Darrow, B. P., Lenes, J. M., Milroy, S. P.,
Remsen, A., Dieterle, D. A., Carder, K. L., Chen, F. R., Vargo, G. A.,
Weisberg, R. H., Fanning, K. A., Muller-Karger, F. E., Shinn, E., Steidinger,
K. A., Heil, C. A., Tomas, C. R., Prospero, J. S., Lee, T. N., Kirkpatrick,
G. J., Whitledge, T. E., Stockwell, D. A., Villareal, T. A., Jochens, A. E.,
and Bontempi, P. S.: Red tides in the Gulf of Mexico: where, when, and why?,
J. Geophys. Res., 111, C11003, <a href="https://doi.org/10.1029/2004JC002813" target="_blank">https://doi.org/10.1029/2004JC002813</a>, 2006.
</mixed-citation></ref-html>
<ref-html id="bib1.bib97"><label>97</label><mixed-citation>
Wang, X., Murtugudde, R., Hackert, E., and Marañón, E.:
Phytoplankton carbon and chlorophyll distributions in the equatorial
Pacific and Atlantic: a basin-scale comparative study, J. Marine Syst., 109–110, 138–148, 2013.
</mixed-citation></ref-html>
<ref-html id="bib1.bib98"><label>98</label><mixed-citation>
Waniek, J., Koeve1, W., and Prien, R. D.: Trajectories of sinking particles and the catchment areas above sediment traps in the northeast Atlantic, J. Mar. Res., 58, 983–1006, 2000.
</mixed-citation></ref-html>
<ref-html id="bib1.bib99"><label>99</label><mixed-citation>
Wilson, W. D., Johns, E., and Molinari, R. L.: Upper layer circulation in the western tropical North Atlantic Ocean during August 1989, J. Geophys. Res., 99, 22513–22523, 1994.
</mixed-citation></ref-html>
<ref-html id="bib1.bib100"><label>100</label><mixed-citation>
Winter, A., Jordan, R., and Roth, P.: Biogeography of living
coccolithophores in ocean waters. in: Coccolithophores, edited by:  Winter, A. and Siesser, W., Cambridge Univ. Press, 161–177, 1994.

</mixed-citation></ref-html>
<ref-html id="bib1.bib101"><label>101</label><mixed-citation>
Winter, A., Rost, B., Hilbrecht, H., and Elbrachter, M.: Vertical and horizontal distribution of coccolithophores in the Caribbean Sea, Geo-Mar. Lett., 22, 150–161, 2002.
</mixed-citation></ref-html>
<ref-html id="bib1.bib102"><label>102</label><mixed-citation>
Xie, P. and Arkin, P. A.: Global precipitation: a 17 year monthly analysis based on gauge observations, satellite estimates, and numerical model outputs, B. Am. Meteorol. Soc., 78, 2539–2558, 1997.
</mixed-citation></ref-html>
<ref-html id="bib1.bib103"><label>103</label><mixed-citation>
Young, J.: Functions of coccoliths. in: Coccolithophores, edited by:
Winter, A. and Siesser, W., Cambridge Univ. Press, Cambridge, 63–82, 1994.
</mixed-citation></ref-html>
<ref-html id="bib1.bib104"><label>104</label><mixed-citation>
Young, J. R., Bown, P. R., and Lees, J. A. (Eds.): Nannotax website,
International Nannoplankton Association,
<a href="http://www.mikrotax.org/Nannotax3/" target="_blank">http://www.mikrotax.org/Nannotax3/</a>, last access: 21 September 2011.
</mixed-citation></ref-html>
<ref-html id="bib1.bib105"><label>105</label><mixed-citation>
Ziveri, P., Thunell, R. C., and Rio, D.: Export production of coccolithophores in an upwelling region: results from San Pedro Basin, Southern California Borderlands, Mar. Micropaleontol., 24, 335–358, 1995.
</mixed-citation></ref-html>
<ref-html id="bib1.bib106"><label>106</label><mixed-citation>
Ziveri, P., Baumann, K.-H., Boeckel, B., Bollmann, J., and
Young, J. R.: Biogeography of selected Holocene coccoliths in the
Atlantic Ocean. in: Coccolithophores – From Molecular Processes to
Global Impact, edited by: Thierstein, H. R. and Young, J. R., Springer, Berlin, 403–428, 2004.
</mixed-citation></ref-html>
<ref-html id="bib1.bib107"><label>107</label><mixed-citation>
Ziveri, P., de Bernard, B., Baumann, K.-H., Stoll, H. M., and Morty, P. G.:
Sinking of coccolith carbonate and potential contribution to organic carbon
ballasting in the deep ocean, Deep-Sea Res. Pt. II, 54, 659–675, 2007.
</mixed-citation></ref-html>--></article>
