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  <front>
    <journal-meta><journal-id journal-id-type="publisher">ESSD</journal-id><journal-title-group>
    <journal-title>Earth System Science Data</journal-title>
    <abbrev-journal-title abbrev-type="publisher">ESSD</abbrev-journal-title><abbrev-journal-title abbrev-type="nlm-ta">Earth Syst. Sci. Data</abbrev-journal-title>
  </journal-title-group><issn pub-type="epub">1866-3516</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/essd-13-2487-2021</article-id><title-group><article-title>Marine terraces of the last interglacial period along the Pacific coast of South America (1<inline-formula><mml:math id="M1" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N–40<inline-formula><mml:math id="M2" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S)</article-title><alt-title>Marine terraces along the Pacific coast of South America</alt-title>
      </title-group><?xmltex \runningtitle{Marine terraces along the Pacific coast of South America}?><?xmltex \runningauthor{R. Freisleben et al.}?>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes" rid="aff1">
          <name><surname>Freisleben</surname><given-names>Roland</given-names></name>
          <email>freisleb@uni-potsdam.de</email>
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Jara-Muñoz</surname><given-names>Julius</given-names></name>
          
        <ext-link>https://orcid.org/0000-0001-6600-4889</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2 aff3">
          <name><surname>Melnick</surname><given-names>Daniel</given-names></name>
          
        <ext-link>https://orcid.org/0000-0001-8397-7391</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2 aff3">
          <name><surname>Martínez</surname><given-names>José Miguel</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Strecker</surname><given-names>Manfred R.</given-names></name>
          
        </contrib>
        <aff id="aff1"><label>1</label><institution>Institut für Geowissenschaften, Universität Potsdam, 14476
Potsdam, Germany</institution>
        </aff>
        <aff id="aff2"><label>2</label><institution>Instituto de Ciencias de la Tierra, TAQUACH, Universidad Austral de
Chile, Valdivia, Chile</institution>
        </aff>
        <aff id="aff3"><label>3</label><institution>Millennium Nucleus the Seismic Cycle along Subduction Zones,
Valdivia, Chile</institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">Roland Freisleben (freisleb@uni-potsdam.de)</corresp></author-notes><pub-date><day>3</day><month>June</month><year>2021</year></pub-date>
      
      <volume>13</volume>
      <issue>6</issue>
      <fpage>2487</fpage><lpage>2513</lpage>
      <history>
        <date date-type="received"><day>11</day><month>December</month><year>2020</year></date>
           <date date-type="rev-request"><day>18</day><month>December</month><year>2020</year></date>
           <date date-type="rev-recd"><day>2</day><month>April</month><year>2021</year></date>
           <date date-type="accepted"><day>7</day><month>April</month><year>2021</year></date>
      </history>
      <permissions>
        <copyright-statement>Copyright: © 2021 </copyright-statement>
        <copyright-year>2021</copyright-year>
      <license license-type="open-access"><license-p>This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link></license-p></license></permissions><self-uri xlink:href="https://essd.copernicus.org/articles/.html">This article is available from https://essd.copernicus.org/articles/.html</self-uri><self-uri xlink:href="https://essd.copernicus.org/articles/.pdf">The full text article is available as a PDF file from https://essd.copernicus.org/articles/.pdf</self-uri>
      <abstract><title>Abstract</title>
    <p id="d1e149">Tectonically active coasts are dynamic environments characterized
by the presence of multiple marine terraces formed by the combined effects
of wave erosion, tectonic uplift, and sea-level oscillations at
glacial-cycle timescales. Well-preserved erosional terraces from the last
interglacial sea-level highstand are ideal marker horizons for
reconstructing past sea-level positions and calculating vertical
displacement rates. We carried out an almost continuous mapping of the last
interglacial marine terrace along <inline-formula><mml:math id="M3" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 5000 km of the western
coast of South America between 1<inline-formula><mml:math id="M4" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N and 40<inline-formula><mml:math id="M5" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S. We used
quantitatively replicable approaches constrained by published terrace-age
estimates to ultimately compare elevations and patterns of uplifted terraces
with tectonic and climatic parameters in order to evaluate the controlling
mechanisms for the formation and preservation of marine terraces and
crustal deformation. Uncertainties were estimated on the basis of
measurement errors and the distance from referencing points. Overall, our
results indicate a median elevation of 30.1 m, which would imply a median
uplift rate of 0.22 m kyr<inline-formula><mml:math id="M6" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> averaged over the past <inline-formula><mml:math id="M7" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 125 kyr. The patterns of terrace elevation and uplift rate display high-amplitude
(<inline-formula><mml:math id="M8" display="inline"><mml:mo lspace="0mm">∼</mml:mo></mml:math></inline-formula> 100–200 m) and long-wavelength (<inline-formula><mml:math id="M9" display="inline"><mml:mo lspace="0mm">∼</mml:mo></mml:math></inline-formula> 10<inline-formula><mml:math id="M10" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:math></inline-formula> km) structures at the Manta Peninsula (Ecuador), the San Juan de Marcona
area (central Peru), and the Arauco Peninsula (south-central Chile).
Medium-wavelength structures occur at the Mejillones Peninsula and Topocalma
in Chile, while short-wavelength (<inline-formula><mml:math id="M11" display="inline"><mml:mo lspace="0mm">&lt;</mml:mo></mml:math></inline-formula> 10 km) features are for instance
located near Los Vilos, Valparaíso, and Carranza, Chile. We interpret
the long-wavelength deformation to be controlled by deep-seated processes at
the plate interface such as the subduction of major bathymetric anomalies
like the Nazca and Carnegie ridges. In contrast, short-wavelength
deformation may be primarily controlled by sources in the upper plate such
as crustal faulting, which, however, may also be associated with the
subduction of topographically less pronounced bathymetric anomalies.
Latitudinal differences in climate additionally control the formation and
preservation of marine terraces. Based on our synopsis we propose that
increasing wave height and tidal range result in enhanced erosion and
morphologically well-defined marine terraces in south-central Chile. Our
study emphasizes the importance of using systematic measurements and
uniform, quantitative methodologies to characterize and correctly interpret
marine terraces at regional scales, especially if they are used to unravel the
tectonic and climatic forcing mechanisms of their formation. This database
is an integral part of the World Atlas of Last Interglacial Shorelines
(WALIS), published online at <ext-link xlink:href="https://doi.org/10.5281/zenodo.4309748" ext-link-type="DOI">10.5281/zenodo.4309748</ext-link>
(Freisleben et al., 2020).</p>
  </abstract>
    </article-meta>
  </front>
<body>
      

<?pagebreak page2488?><sec id="Ch1.S1" sec-type="intro">
  <label>1</label><title>Introduction</title>
      <p id="d1e239">Tectonically active coasts are highly dynamic geomorphic environments, and
they host densely populated centers and associated infrastructure (Melet et
al., 2020). Coastal areas have been episodically affected by the effects of
sea-level changes at glacial timescales, modifying the landscape and leaving
behind fossil geomorphic markers, such as former paleo-shorelines and
marine terraces (Lajoie, 1986). One of the most prominent coastal landforms
are marine terraces that were generated during the protracted last
interglacial sea-level highstand that occurred <inline-formula><mml:math id="M12" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 125 kyr ago
(Siddall et al., 2006; Hearty et al., 2007; Pedoja et al., 2011). These
terraces are characterized by a higher preservation potential which
facilitates their recognition, mapping, and lateral correlation.
Furthermore, because of their high degree of preservation and relatively
young age, they have been used to estimate vertical deformation rates at
local and regional scales. The relative abundance and geomorphic
characteristics of the last interglacial marine terraces make them ideal
geomorphic markers with which to reconstruct past sea-level positions and to
enable comparisons between distant sites under different climatic and
tectonic settings.</p>
      <p id="d1e249">The western South American coast (WSAC) is a tectonically active region that
has been repeatedly affected by megathrust earthquakes and associated
surface deformation (Beck et al., 1998; Melnick et al., 2006; Bilek, 2010;
Baker et al., 2013). Interestingly, previous studies have shown that despite
the broad spectrum of latitudinal climatic conditions and erosional regimes
along the WSAC, marine terraces are scattered but omnipresent along the
coast (Ota et al., 1995; Regard et al., 2010; Rehak et al., 2010; Bernhardt
et al., 2016, 2017; Melnick, 2016). However, only a few
studies on interglacial marine terraces have been conducted along the WSAC,
primarily in specific areas where they are best expressed; this has resulted
in disparate and inconclusive marine terrace measurements based on different
methodological approaches and ambiguous interpretations concerning their
origin in a tectonic and climatic context (Hsu et al., 1989; Ortlieb and
Macharé, 1990; Hsu, 1992; Macharé and Ortlieb, 1992; Pedoja et al.,
2006b, 2011; Saillard et al., 2009, 2011;
Rodríguez et al., 2013). This lack of reliable data points has revealed
a need to re-examine the last interglacial marine terraces along the WSAC
based on standardized methodologies in order to obtain a systematic and
continuous record of marine terrace elevations along the coast. This
information is crucial in order to increase our knowledge of the climatic
and tectonic forcing mechanisms that contributed to the formation and
degradation of marine terraces in this region.</p>
      <p id="d1e252">Marine terrace sequences at tectonically active coasts are landforms formed
by wave erosion and/or accumulation of sediments resulting from the
interaction between tectonic uplift and superposed oscillating sea-level
changes (Lajoie, 1986; Anderson et al., 1999; Jara-Muñoz et al., 2015).
Typically, marine terrace elevations are estimated based on the shoreline
angle. The marine terrace morphology comprises a gently inclined erosional
or depositional paleo-platform that terminates landward at a steeply sloping
paleo-cliff surface. The intersection point between both surfaces represents
the approximate sea-level position during the formation of the marine
terrace, also known as shoreline angle; if coastal uplift is rapid, such
uplifting abrasion or depositional surfaces may be preserved in the
landscape and remain unaltered by the effects of subsequent sea-level
oscillations (Lajoie, 1986).</p>
      <p id="d1e255">The analysis of elevation patterns based on shoreline-angle measurements at
subduction margins has been largely used to estimate vertical deformation
rates and the mechanisms controlling deformation, including the interaction
of the upper plate with bathymetric anomalies, the activity of crustal
faults in the upper plate, and deep-seated processes such as basal accretion
of subducted trench sediments (Taylor et al., 1987; Hsu, 1992; Macharé
and Ortlieb, 1992; Ota et al., 1995; Pedoja et al., 2011; Saillard et al.,
2011; Jara-Muñoz et al., 2015; Melnick, 2016). The shoreline angle
represents a 1D descriptor of the marine terrace elevation whose
measurements are reproducible when using quantitative morphometric
approaches (Jara-Muñoz et al., 2016). Furthermore, the estimation of the
marine terrace elevations based on shoreline angles can be further improved
by quantifying their relationship with paleo sea level, also known as the
indicative meaning (Lorscheid and Rovere, 2019).</p>
      <p id="d1e259">In this continental-scale compilation of marine terrace elevations along the
WSAC, we present systematically mapped shoreline angles of marine terraces
of the last (Eemian–Sangamonian) interglacial obtained along 5000 km of coastline between 1<inline-formula><mml:math id="M13" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N and 40<inline-formula><mml:math id="M14" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S. In this synthesis we rely on
chronological constraints from previous regional studies and compilations
(Pedoja et al., 2011). For the first time we are able to introduce an almost
continuous pattern of terrace elevation and coastal uplift rates at a
spatial scale of 10<inline-formula><mml:math id="M15" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> km along the WSAC. Furthermore, in our database we
compare tectonic and climatic parameters to elucidate the mechanisms
controlling the formation and preservation of marine terraces and patterns
of crustal deformation along the coast. This study was thus primarily
intended to provide a comprehensive, standardized database and description
of last interglacial marine terrace elevations along the tectonically active
coast of South America. This database therefore warrants future research into
coastal environments to decipher potential tectonic forcings with regard to
the deformation and seismotectonic segmentation of the forearc; as such this
database will ultimately help to decipher the relationship between
upper-plate deformation, vertical motion, and bathymetric anomalies and aid
in the identification of regional fault motions along pre-existing
anisotropies in the South American continental plate. Finally, our database
includes information on climate-driving forcing mechanisms that may
influence the formation, modification, and/or destruction of marine terraces
in different climatic sectors along the South<?pagebreak page2489?> American convergent margin.
This new database is part of the World Atlas of Last Interglacial Shorelines
(WALIS), published online at <ext-link xlink:href="https://doi.org/10.5281/zenodo.4309748" ext-link-type="DOI">10.5281/zenodo.4309748</ext-link>
(Freisleben et al., 2020).</p>
</sec>
<sec id="Ch1.S2">
  <label>2</label><title>Geologic and geomorphic setting of the WSAC</title>
<sec id="Ch1.S2.SS1">
  <label>2.1</label><title>Tectonic and seismotectonic characteristics</title>
<sec id="Ch1.S2.SS1.SSS1">
  <label>2.1.1</label><title>Subduction geometry and bathymetric features</title>
      <p id="d1e314">The tectonic setting of the convergent margin of South America is controlled
by subduction of the oceanic Nazca plate beneath the South American
continental plate. The convergence rate varies between 66 mm yr<inline-formula><mml:math id="M16" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> in the north
(8<inline-formula><mml:math id="M17" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S latitude) and 74 mm yr<inline-formula><mml:math id="M18" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> in the south (27<inline-formula><mml:math id="M19" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S
latitude) (Fig. 1). The convergence azimuth changes slightly from
81.7<inline-formula><mml:math id="M20" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N toward 77.5<inline-formula><mml:math id="M21" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N from north to south (DeMets et al.,
2010). The South American subduction zone is divided into four major
segments with variable subduction angles inferred from the spatial
distribution of Benioff seismicity (Barazangi and Isacks, 1976; Jordan et
al., 1983) (Fig. 1). The segments beneath northern and central Peru
(2–15<inline-formula><mml:math id="M22" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S) and beneath central Chile (27–33<inline-formula><mml:math id="M23" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S) are characterized by a gentle dip of the subducting plate
between 5 and 10<inline-formula><mml:math id="M24" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> at depths of <inline-formula><mml:math id="M25" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 100 km
(Hayes et al., 2018), whereas the segments beneath southern Peru and
northern Chile (15–27<inline-formula><mml:math id="M26" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S) and beneath southern Chile
(33–45<inline-formula><mml:math id="M27" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S) have steeper dips of 25–30<inline-formula><mml:math id="M28" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>. Spatial distributions of earthquakes furthermore indicate a
steep-slab subduction segment in Ecuador and southern Colombia (2<inline-formula><mml:math id="M29" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S to 5<inline-formula><mml:math id="M30" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N) and a flat-slab segment in NW Colombia (north of
5<inline-formula><mml:math id="M31" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N) (Pilger, 1981; Cahill and Isacks, 1992; Gutscher et al.,
2000; Ramos and Folguera, 2009). Processes that have been inferred to be
responsible for the shallowing of the subduction slab include the subduction
of large buoyant ridges or plateaus (Espurt et al., 2008), as well as the
combination of the trenchward motion of thick, buoyant continental lithosphere
accompanied by trench retreat (Sobolev and Babeyko, 2005; Manea et al.,
2012). Volcanic activity, as well as the forearc architecture and
distribution of upper-plate deformation, further emphasizes the location of
flat-slab subduction segments (Jordan et al., 1983; Kay et al., 1987; Ramos
and Folguera, 2009).</p>
      <p id="d1e467">Several high bathymetric features have been recognized on the subducting
Nazca plate. The two most prominent bathymetric features being subducted
beneath South America are the Carnegie and Nazca aseismic ridges at
0 and 15<inline-formula><mml:math id="M32" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S, respectively; they consist of seamounts
related to hot-spot volcanism (Gutscher et al., 1999; Hampel, 2002). The
300 km wide and <inline-formula><mml:math id="M33" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 2 km high Carnegie Ridge subducts roughly
parallel to the convergence direction, and its geometry should have
remained relatively stable beneath the continental plate (Angermann et al.,
1999; Gutscher et al., 1999; DeMets et al., 2010; Martinod et al., 2016a).
In contrast, the obliquity of the 200 km wide and 1.5 km high Nazca Ridge
with respect to the convergence direction resulted in 500 km SE-directed
migration of its locus of ridge subduction during the last 10 Myr (Hampel,
2002; Saillard et al., 2011; Martinod et al., 2016a). Similarly, smaller
aseismic ridges such as the Juan Fernández Ridge and the Iquique Ridge
subduct beneath the South American continent at 32 and
21<inline-formula><mml:math id="M34" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S, respectively. The intercepts between these bathymetric
anomalies and the upper plate are thought to influence the characteristics
of interplate coupling and seismic rupture (Bilek et al., 2003; Wang and
Bilek, 2011; Geersen et al., 2015; Collot et al., 2017) and mark the
boundaries between flat and steep subduction segments and changes between
subduction erosion and accretion (Jordan et al., 1983; von Huene et al.,
1997; Ramos and Folguera, 2009) (Fig. 1).</p>
      <p id="d1e495">In addition to bathymetric anomalies, several studies have shown that
variations in the volume of sediments in the trench may control the
subduction regime from an erosional mode to an accretionary mode (von Huene
and Scholl, 1991; Bangs and Cande, 1997). In addition, the volume of
sediment in the trench has also been hypothesized to influence the style of
interplate seismicity (Lamb and Davis, 2003). At the southern Chilean margin,
thick trench-sediment sequences and a steeper subduction angle correlate
primarily with subduction accretion, although the area of the intercept of
the continental plate with the Chile Rise spreading center locally exhibits
the opposite case (von Huene and Scholl, 1991; Bangs and Cande, 1997).
Subduction erosion characterizes the region north of the southern volcanic
zone from central and northern Chile to southern Peru (33–15<inline-formula><mml:math id="M35" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S) due to decreasing sediment supply to the trench,
especially within the flat-slab subduction segments (Stern, 1991; von Huene
and Scholl, 1991; Bangs and Cande, 1997; Clift and Vannucchi, 2004). Clift
and Hartley (2007) and Lohrmann et al. (2003) argued for an alternate style
of slow tectonic erosion leading to underplating of subducted material below
the base of the crustal forearc, which is synchronous with tectonic erosion beneath
the trenchward part of the forearc. For the northern Andes, several authors
also classify the subduction zone as an erosional type (Clift and Vannucchi,
2004; Scholl and Huene, 2007; Marcaillou et al., 2016).</p>
</sec>
<sec id="Ch1.S2.SS1.SSS2">
  <label>2.1.2</label><title>Major continental fault systems in the coastal realm</title>
      <p id="d1e515">The South American convergent margin comprises several fault systems with
different kinematics whose presence is closely linked to oblique subduction
and the motion and deformation of forearc slivers. Here we summarize the
main structures that affect the Pacific coastal areas. North of the Talara
bend (5<inline-formula><mml:math id="M36" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S), active thrusting and dextral strike-slip faulting
dominate the coastal lowlands of Ecuador (e.g., Mache, Bahía, Jipijapa
faults), although normal faulting also occurs at Punta Galera
(Cumilínche fault) and the Manta Peninsula (Río Salado fault)
(Fig. 1). Farther south, normal faulting is active in the Gulf of Guayaquil
(Posorja fault),<?pagebreak page2490?> and dextral strike-slip faulting occurs at the Santa Elena
Peninsula (La Cruz fault) (Veloza et al., 2012; Costa et al., 2020). The
most prominent dextral fault in this region is the 2000 km long,
NE-striking Dolores–Guayaquil megashear (DGM) which starts in the
Gulf of Guayaquil and terminates in the Colombian hinterland east of the
range-bounding thrust faults of the Colombian Andes (Veloza et al., 2012;
Villegas-Lanza et al., 2016; Costa et al., 2020) (Fig. 1). Normal faults
have been described along the coast of Peru at the Illescas Peninsula in the
north (6<inline-formula><mml:math id="M37" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S), within the El Huevo–Lomas fault system in the San
Juan de Marcona area (14.5–16<inline-formula><mml:math id="M38" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S), and within the
Incapuquio fault system farther south (17–18<inline-formula><mml:math id="M39" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S)
(Veloza et al., 2012; Villegas-Lanza et al., 2016; Costa et al., 2020). The
main fault zones of the Chilean convergent margin comprise the Atacama fault
system (AFS) in the Coastal Cordillera extending from Iquique to La Serena
(29.75<inline-formula><mml:math id="M40" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S; Fig. 1) with predominantly north–south-striking normal faults,
which result in the relative uplift of their western side (e.g., Mejillones
fault, Salar del Carmen fault) (Naranjo, 1987; González and Carrizo,
2003; Cembrano et al., 2007). Coastal fault systems farther south are
located in the Altos de Talinay area (30.5<inline-formula><mml:math id="M41" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S; Puerto Aldea
fault), near Valparaíso (33<inline-formula><mml:math id="M42" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S; Quintay and Valparaíso
faults), near the Arauco Peninsula (36–39<inline-formula><mml:math id="M43" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S; Santa
María and Lanalhue faults), and in between these areas (Topocalma,
Pichilemu, Carranza, and Pelluhue faults) (Ota et al., 1995; Melnick et al.,
2009, 2020; Santibáñez et al., 2019; Maldonado et
al., 2021) (Fig. 1). However, there is still limited knowledge regarding
Quaternary slip rates and kinematics and, most importantly, the location of
active faults along the forearc region of South America (Jara-Muñoz et
al., 2018; Melnick et al., 2019).</p>
</sec>
</sec>
<sec id="Ch1.S2.SS2">
  <label>2.2</label><title>Climate and geomorphic setting</title>
<sec id="Ch1.S2.SS2.SSS1">
  <label>2.2.1</label><title>Geomorphology</title>
      <p id="d1e607">The 8000 km long Andean orogen is a major, hemisphere-scale feature that can
be divided into segments with distinctive geomorphic and tectonic
characteristics. The principal segments comprise the NNE–SSW-trending
Colombian–Ecuadorian segment (12<inline-formula><mml:math id="M44" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N–5<inline-formula><mml:math id="M45" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S), the NW–SE-oriented Peruvian segment (5–18<inline-formula><mml:math id="M46" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S), and the north–south-trending Chilean segment (18–56<inline-formula><mml:math id="M47" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S) (Jaillard et al.,
2000) (Fig. 1). Two major breaks separate these segments; these are the
Huancabamba bend in northern Peru and the Arica bend at the Peru–Chile
border. The distance of the trench from the WSAC coastline averages 118 km
and ranges between 44 and 217 km. The depth of the trench varies between
2920 and 8177 m (GEBCO Bathymetric Compilation Group, 2020), and the
continental shelf has an average width of 28 km (Paris et al., 2016).</p>

      <?xmltex \floatpos{p}?><fig id="Ch1.F1" specific-use="star"><?xmltex \currentcnt{1}?><?xmltex \def\figurename{Figure}?><label>Figure 1</label><caption><p id="d1e648"><bold>(a)</bold> Morphotectonic setting of the South American margin showing
major fault systems and crustal faults (Costa et al., 2000; Veloza et al., 2012;
Maldonado et al., 2021), slab depth (Hayes et al., 2018), flat-slab
subduction segments, active volcanos (Venzke, 2013), bathymetric features of
the subducting plate, trench-sediment thickness (Bangs and Cande, 1997),
segments of subduction erosion and accretion (Clift and Vannucchi, 2004),
plate age (Müller et al., 2008), convergence vectors (DeMets et al.,
2010), and marine terrace ages used for lateral correlation. DGM:
Dolores–Guayaquil megashear; AFS: Atacama fault system; LOFZ:
Liquiñe–Ofqui fault zone; FZ: fracture zone; 1: Punta Galera; 2: Manta
Pen.; 3: Gulf of Guayaquil, Santa Elena Pen.; 4: Tablazo Lobitos; 5: Paita
Pen.; 6: Illescas Pen.; 7: Chiclayo; 8: Lima; 9: San Juan de Marcona; 10:
Chala Bay; 11: Pampa del Palo; 12: Pisagua; 13: Iquique; 14: Tocopilla; 15:
Mejillones Pen.; 16: Taltal; 17: Caldera; 18: Punta Choros; 19: Altos de
Talinay; 20: Los Vilos; 21: Valparaíso; 22: Topocalma; 23: Carranza;
24: Arauco Pen.; 25: Valdivia (World Ocean Basemap: Esri, Garmin, GEBCO,
NOAA NGDC, and other contributors). <bold>(b)</bold> Location of the study area.</p></caption>
            <?xmltex \igopts{width=256.074803pt}?><graphic xlink:href="https://essd.copernicus.org/articles/13/2487/2021/essd-13-2487-2021-f01.png"/>

          </fig>

      <p id="d1e662">In the 50 to 180 km wide coastal area of the Ecuadorian Andes, where the
Western Cordillera is flanked by a structural depression, relief is
relatively low (<inline-formula><mml:math id="M48" display="inline"><mml:mo lspace="0mm">&lt;</mml:mo></mml:math></inline-formula> 300 m a.s.l.). The Gulf of Guayaquil (3<inline-formula><mml:math id="M49" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S)
and the Dolores–Guayaquil megashear separate the northern from the southern
forearc units. The coast-trench distance along the Huancabamba bend is quite
small (<inline-formula><mml:math id="M50" display="inline"><mml:mo lspace="0mm">∼</mml:mo></mml:math></inline-formula> 55–90 km), except for the Gulf of Guayaquil, and the
trench east of the Carnegie Ridge is at a relatively shallow depth of
<inline-formula><mml:math id="M51" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 3.5 km. Farther south, the Peruvian forearc comprises the up
to 160 km wide Coastal Plains in the north and the narrow, 3000 m high
Western Cordillera. While the Coastal Plains in north-central Peru are
relatively narrow (<inline-formula><mml:math id="M52" display="inline"><mml:mo lspace="0mm">&lt;</mml:mo></mml:math></inline-formula> 40 km), they widen in southern Peru, and the
elevation of the Western Cordillera increases to more than 5000 m
(Suárez et al., 1983; Jaillard et al., 2000). The region between the
coast and the trench in central Peru (up to 220 km) narrows toward the San
Juan de Marcona area (<inline-formula><mml:math id="M53" display="inline"><mml:mo lspace="0mm">∼</mml:mo></mml:math></inline-formula> 75 km) near the intercept with the
Nazca Ridge, and the relatively deep trench (<inline-formula><mml:math id="M54" display="inline"><mml:mo lspace="0mm">∼</mml:mo></mml:math></inline-formula> 6.5 km) becomes
shallower (<inline-formula><mml:math id="M55" display="inline"><mml:mo lspace="0mm">&lt;</mml:mo></mml:math></inline-formula> 5 km) (GEBCO Bathymetric Compilation Group, 2020).
Between 18 and 28<inline-formula><mml:math id="M56" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S, the Chilean forearc comprises
the 50 km wide and up to 2700 m high Coastal Cordillera, which is separated
from the Precordillera by the Central Depression. In the flat-slab
subduction segment between 27 and 33<inline-formula><mml:math id="M57" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S there is
neither a morphotectonic region characterized by a central depression nor
active volcanism in the high Andean cordillera (Fig. 1) (Jordan et al.,
1983). The Chilean forearc comprises the Coastal Cordillera, which varies in
altitude from up to 2000 m at 33<inline-formula><mml:math id="M58" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S to 500 m at 46<inline-formula><mml:math id="M59" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S,
and the Central Depression that separates the forearc from the Main
Cordillera. From the Arica bend, where the coast-trench distance is up to
170 km and the trench <inline-formula><mml:math id="M60" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 8 km deep, a slight increase in
coast-trench distance can be observed in Chile toward the south
(<inline-formula><mml:math id="M61" display="inline"><mml:mo lspace="0mm">∼</mml:mo></mml:math></inline-formula> 80–130 km), as can a decrease in trench depth to
<inline-formula><mml:math id="M62" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 4.5 km.</p>
</sec>
<sec id="Ch1.S2.SS2.SSS2">
  <label>2.2.2</label><title>Marine terraces and coastal uplift rates</title>
      <p id="d1e790">Wave erosion generates wave-cut terrace levels, while the accumulation of
shallow marine sediments during sea-level highstands forms wave-built
terraces. Another type of terrace is known as “rasa” and refers to wide
shore platforms formed under slow-uplift conditions (<inline-formula><mml:math id="M63" display="inline"><mml:mo lspace="0mm">&lt;</mml:mo></mml:math></inline-formula> 0.2 m kyr<inline-formula><mml:math id="M64" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>)
and the repeated reoccupation of this surface by high sea levels (Regard et
al., 2010; Rodríguez et al., 2013; Melnick, 2016). Other studies
indicate a stronger influence of climate and rock resistance to erosion
compared to marine wave action (Prémaillon et al., 2018). Typically, the
formation of Pleistocene marine terraces in the study area occurred during
interglacial and interstadial relative sea-level highstands that were
superposed on the uplifting coastal areas; according to the Quaternary
oxygen-isotope curve defining warm and cold periods, high Quaternary sea
levels have been correlated with warm periods and are denoted with the
odd-numbered Marine Isotope Stages (MISs) (Lajoie, 1986; Shackleton et al.,
2003).</p>
      <?pagebreak page2492?><p id="d1e812">Along the WSAC, staircase-like sequences of multiple marine terraces are
preserved nearly continuously along the coast. These terraces comprise
primarily wave-cut surfaces that are frequently covered by beach ridges of
siliciclastic sediments and local accumulations of carbonate bioclastic
materials (Ota et al., 1995; Saillard et al., 2009; Rodríguez et al.,
2013; Martinod et al., 2016b). Rasa surfaces exist in the regions of
southern Peru and northern Chile (Regard et al., 2010; Rodríguez et
al., 2013; Melnick, 2016). Particularly the well-preserved MIS 5e terrace
level has been largely used as a strain marker in the correlation of
uplifted coastal sectors due to its lateral continuity and high potential
for preservation. Global observations of sea-level fluctuations during MIS 5
allow us to differentiate between three second-order highstands at 80 ka (5a),
105 ka (5c), and 128 to 116 ka (5e) with paleo sea levels of <inline-formula><mml:math id="M65" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">20</mml:mn></mml:mrow></mml:math></inline-formula> m for both
of the younger and <inline-formula><mml:math id="M66" display="inline"><mml:mrow><mml:mo>+</mml:mo><mml:mn mathvariant="normal">3</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:math></inline-formula> m for the oldest highstand (Stirling et
al., 1998; Siddall et al., 2006; Hearty et al., 2007; Rohling et al., 2009;
Pedoja et al., 2011), although glacio-isostatic adjustments (GIAs) can cause
local differences of up to 30 m (Simms et al., 2016; Creveling et al.,
2017). The database generated in this study is based exclusively on the last
interglacial marine terraces exposed along the WSAC between Ecuador and
southern Chile (1–40<inline-formula><mml:math id="M67" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S). In the following section
we present a brief review of previously studied marine terrace sites in this
area.</p>
      <p id="d1e848">Paleo-shoreline elevations of the last interglacial (MIS 5e) in Ecuador are
found at elevations of around 45 <inline-formula><mml:math id="M68" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 2 m a.s.l. in Punta Galera (Esmeraldas area), 43–57 <inline-formula><mml:math id="M69" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 2 m on the Manta Peninsula and La Plata Island, and <inline-formula><mml:math id="M70" display="inline"><mml:mrow><mml:mn mathvariant="normal">15</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">5</mml:mn></mml:mrow></mml:math></inline-formula> m a.s.l. on the Santa Elena Peninsula (Pedoja et al., 2006b, a). In northern Peru, MIS 5e terraces have been described at
elevations of 18–31 m a.s.l. for the Tablazo Lobitos (Cancas and Mancora
areas), at 25 <inline-formula><mml:math id="M71" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 5 m a.s.l. on the Paita Peninsula, and at 18 <inline-formula><mml:math id="M72" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 3 m a.s.l. on the Illescas Peninsula and the Bay of Bayovar (Pedoja et al., 2006b).
Farther south, MIS 5e terraces are exceptionally high in the San Juan de
Marcona area immediately south of the subducting Nazca Ridge, with maximum
elevations of 80 m at the Cerro Trés Hermanas and 105 m at the Cerro El
Huevo (Hsu et al., 1989; Ortlieb and Macharé, 1990; Saillard et al.,
2011). The Pampa del Palo region in southern Peru exhibits relatively thick
vertical stacks of shallow marine terrace deposits related to MIS 7, 5e
(<inline-formula><mml:math id="M73" display="inline"><mml:mo lspace="0mm">∼</mml:mo></mml:math></inline-formula> 20 m), and 5c that may indicate a different geodynamic
behavior compared to adjacent regions (Ortlieb et al., 1996b). In central
and northern Chile, the terrace levels of the last interglacial occur at
250–400, 150–240, 80–130, and 30–40 m and in southern Chile at
170–200, 70, 20–38, and 8–10 m (Fuenzalida et al., 1965). Specifically,
between 24 and 32<inline-formula><mml:math id="M74" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S, paleo-shoreline elevations of
the last interglacial (MIS 5e) range between 25 and 45 m (Ota et al., 1995;
Saillard et al., 2009; Martinod et al., 2016b). Shore platforms are higher
in the Altos de Talinay area (30.3–31.3<inline-formula><mml:math id="M75" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S) but are
small, poorly preserved, and terminate at a high coastal scarp between
26.75 and 24<inline-formula><mml:math id="M76" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S (Martinod et al., 2016b).
Shoreline-angle elevations between 34 and 38<inline-formula><mml:math id="M77" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S (along
the Maule seismotectonic segment) vary from high altitudes in the Arauco and
Topocalma areas (200 m) to moderate elevations near Carranza (110 m) and to
very low elevations in between (15 m) (Melnick et al., 2009; Jara-Muñoz
et al., 2015).</p>
      <?pagebreak page2493?><p id="d1e935">Coastal uplift-rate estimates along the WSAC mainly comprise calculations
for the Talara Arc, the San Juan de Marcona area, the Mejillones Peninsula,
the Altos de Talinay area, and several regions in south-central Chile. Along
the Talara Arc (6.5<inline-formula><mml:math id="M78" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S–1<inline-formula><mml:math id="M79" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N), marine terraces of the
Manta Peninsula and La Plata Island in central Ecuador indicate the most
pronounced uplift rates of 0.31–0.42 m kyr<inline-formula><mml:math id="M80" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> since MIS 5e, while similar
uplift rates are documented to the north in the Esmeraldas area (0.34 m kyr<inline-formula><mml:math id="M81" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>)
and lower ones to the south at the Santa Elena Peninsula (0.1 m kyr<inline-formula><mml:math id="M82" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>). In
northern Peru, last interglacial uplift rates are relative low, ranging from
0.17–0.21 m kyr<inline-formula><mml:math id="M83" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> for the Tablazo Lobitos and 0.16 m kyr<inline-formula><mml:math id="M84" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> for the Paita
Peninsula to 0.12 m kyr<inline-formula><mml:math id="M85" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> for the Bay of Bayovar and the Illescas Peninsula
(Pedoja et al., 2006b, a). Marine terraces on the
continental plate above the subducting Nazca Ridge (13.5–15.6<inline-formula><mml:math id="M86" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S) record variations in uplift rate where the coastal
forearc above the northern flank of the ridge is either stable or has
undergone net subsidence (Macharé and Ortlieb, 1992). The coast above
the ridge crest has been rising at about 0.3 m kyr<inline-formula><mml:math id="M87" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> and the coast above the southern flank (San Juan de Marcona) has been uplifting at a rate of 0.5 m kyr<inline-formula><mml:math id="M88" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> (Hsu, 1992) or even 0.7 m kyr<inline-formula><mml:math id="M89" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> (Ortlieb and Macharé, 1990) for at least the last 125 kyr. Saillard et al. (2011) state that long-term regional uplift in the San
Juan de Marcona area has increased since about 800 ka related to the
southward migration of the Nazca Ridge, and it ranges from 0.44 to 0.87 m kyr<inline-formula><mml:math id="M90" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>.
The Pampa del Palo area in southern Peru rose more slowly or was even
down-faulted and had subsided with respect to the adjacent coastal regions
(Ortlieb et al., 1996b). These movements ceased after the highstand during
the MIS 5e, and slow-uplift rates of approximately 0.16 m kyr<inline-formula><mml:math id="M91" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> have
characterized the region since 100 ka (Ortlieb et al., 1996b). In northern
Chile (24–32<inline-formula><mml:math id="M92" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S), uplift rates for the Late
Pleistocene average around 0.28 <inline-formula><mml:math id="M93" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.15 m kyr<inline-formula><mml:math id="M94" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> (Martinod et al., 2016b),
except for the Altos de Talinay area where pulses of rapid uplift occurred
during the Middle Pleistocene (Ota et al., 1995; Saillard et al., 2009;
Martinod et al., 2016b). The Central Andean rasa (15–33<inline-formula><mml:math id="M95" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S) and Lower to Middle Pleistocene shore platforms – which
are also generally wider – indicate a period of tectonic stability or
subsidence followed by accelerated and spatially continuous uplift after
<inline-formula><mml:math id="M96" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 400 ka (MIS 11) (Regard et al., 2010; Rodríguez et al.,
2013; Martinod et al., 2016b). However, according to Melnick (2016), the
central Andean rasa has experienced slow and steady long-term uplift with a
rate of 0.13 <inline-formula><mml:math id="M97" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.04 m kyr<inline-formula><mml:math id="M98" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> during the Quaternary, predominantly
accumulating strain through deep earthquakes at the crust–mantle boundary
(Moho) below the locked portion of the plate interface. The lowest uplift
rates occur at the Arica bend and increase gradually southward; the highest
values are attained along geomorphically distinct peninsulas (Melnick,
2016). In the Maule segment (34–38<inline-formula><mml:math id="M99" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S), the mean
uplift rate for the MIS 5 terrace level is 0.5 m kyr<inline-formula><mml:math id="M100" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>, exceeded only in the
areas of Topocalma, Carranza, and Arauco, where it amounts to 1.6 m kyr<inline-formula><mml:math id="M101" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>
(Melnick et al., 2009; Jara-Muñoz et al., 2015). Although there are
several studies of marine terraces along the WSAC, these are isolated and
based on different methodological approaches, mapping and leveling
resolutions, and dating techniques, which make regional comparisons
and correlations difficult in the context of the data presented here.</p>
</sec>
<sec id="Ch1.S2.SS2.SSS3">
  <label>2.2.3</label><title>Climate</title>
      <p id="d1e1205">Apart from latitudinal temperature changes, the present-day morphotectonic
provinces along the South American margin have a pronounced impact on the
precipitation gradients on the west coast of South America. Since mountain
ranges are oriented approximately perpendicular to moisture-bearing winds,
they affect both flanks of the orogen (Strecker et al., 2007). The
regional-scale pattern of wind circulation is dominated by westerly winds at
subtropical and extratropical latitudes primarily up to about 27<inline-formula><mml:math id="M102" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S
(Garreaud, 2009). However, anticyclones over the South Pacific result in
winds blowing from the south along the coast between 35<inline-formula><mml:math id="M103" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S and
10<inline-formula><mml:math id="M104" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S (Garreaud, 2009). The moisture in the equatorial Andes
(Ecuador and Colombia) and in the areas farther south (27<inline-formula><mml:math id="M105" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S) is
fed by winds from the Amazon basin and the Gulf of Panama, resulting in
rainfall mainly on the eastern flanks of the mountain range (Bendix et al.,
2006; Bookhagen and Strecker, 2008; Garreaud, 2009). The Andes of southern
Ecuador, Peru, and northern Chile are dominated by a rain-shadow effect that
causes aridity within the Andean Plateau (Altiplano-Puna), the Western
Cordillera, and the coastal region (Houston and Hartley, 2003; Strecker et
al., 2007; Garreaud, 2009). Furthermore, the aridity is exacerbated by the
effects of the cold Humboldt current which prevents humidity from the
Pacific from penetrating inland (Houston and Hartley, 2003; Garreaud, 2009;
Coudurier-Curveur et al., 2015). The precipitation gradient reverses between
27 and 35<inline-formula><mml:math id="M106" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S where the Southern Hemisphere
westerlies cause abundant rainfall on the western flanks of the Coastal and
Main cordilleras (Garreaud, 2009). Martinod et al. (2016b) proposed that
latitudinal differences in climate largely influence coastal morphology,
specifically the formation of high coastal scarps that prevent the
development of extensive marine terrace sequences. However, the details of
this relationship have not been conclusively studied along the full extent
of the Pacific coast of South America.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F2" specific-use="star"><?xmltex \currentcnt{2}?><?xmltex \def\figurename{Figure}?><label>Figure 2</label><caption><p id="d1e1255">Orthometrically corrected TanDEM-X and slope map of <bold>(a)</bold> Chala Bay
in south-central Peru and <bold>(b)</bold> Punta Galera in northern Ecuador with mapped
inner shoreline edges of the MIS 5e and 5c terrace levels. Colored
rectangles represent swath-profile boxes of various widths that were placed
perpendicular to the inner edges for the subsequent estimation of terrace
elevation in TerraceM. The red star indicates the referencing point with the
age constraint for the respective area (Pedoja et al., 2006b; Saillard,
2008). Panels <bold>(c)</bold> and <bold>(d)</bold> show the estimation of shoreline-angle elevations in TerraceM
by intersecting linear-regression fits of the paleo-cliff and paleo-platform
(200 m wide swath profiles). <bold>(e)</bold> Histograms of elevation differences
measured in both areas for various swath widths (70, 100, and 130 m)
with respect to the 200 m wide reference swath profile (blue). Vertical
lines indicate median values and standard deviations (2<inline-formula><mml:math id="M107" display="inline"><mml:mi mathvariant="italic">σ</mml:mi></mml:math></inline-formula>).</p></caption>
            <?xmltex \igopts{width=497.923228pt}?><graphic xlink:href="https://essd.copernicus.org/articles/13/2487/2021/essd-13-2487-2021-f02.png"/>

          </fig>

</sec>
</sec>
</sec>
<sec id="Ch1.S3">
  <label>3</label><title>Methods</title>
      <p id="d1e1297">We combined – and describe in detail below – bibliographic information,
different topographic data sets, and uniform morphometric and statistical
approaches to assess the elevation of marine terraces and accompanying
vertical deformation rates along the western South American margin.<?xmltex \hack{\newpage}?></p>
<sec id="Ch1.S3.SS1">
  <label>3.1</label><title>Mapping of marine terraces</title>
      <p id="d1e1308">Marine terraces are primarily described based on their elevation, which is
essential for determining vertical deformation rates. The measurements of
the marine terrace elevations of the last interglacial were performed using
TanDEM-X topography (12 and 30 m horizontal resolution) (German Aerospace
Center, DLR, 2018) and digital terrain models from lidar (1, 2.5, and 5 m
horizontal resolution). The digital elevation models (DEMs) were converted to orthometric heights by
subtracting the EGM2008 geoid and projected in the universal transverse mercator (UTM) coordinate system using the World Geodetic
System (WGS1984) using zone 19S for Chile, zone 18S for southern and central
Peru, and zone 17S for northern Peru and Ecuador.</p>
      <p id="d1e1311">To trace the MIS 5 shoreline, we mapped its inner edge along the west coast
of South America based on slope changes in TanDEM-X topography at the foot
of paleo-cliffs (Jara-Muñoz et al., 2016) (Fig. 2a and b). To facilitate
mapping, we used slope and hillshade maps. We correlated the results of the
inner-edge mapping with the marine terraces catalog of Pedoja et al. (2011)
and references therein (Sect. 2.2.2, Table 1).
Further references used to validate MIS 5e terrace heights include Victor et
al. (2011) for the Pampa de Mejillones, Martinod et al. (2016b) for northern
Chile, and Jara-Muñoz et al. (2015) for the area between 34
and 38<inline-formula><mml:math id="M108" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S. We define the term “referencing point” for these
previously published terrace heights and age constraints. The referencing
point with the shortest distance to the location of our measurements served
as a topographical and chronological benchmark for mapping the MIS 5 terrace
in the respective areas. In addition, this distance is used to assign a
quality rating (QR) to our measurements.</p>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T1" specific-use="star"><?xmltex \currentcnt{1}?><label>Table 1</label><caption><p id="d1e1326">Age constraints used for mapping of the inner edge of MIS 5 and for
verifying our terrace-elevation measurements. This compilation is mainly
based on the terrace catalog of Pedoja et al. (2011); added references
include Victor et al. (2011) for Pampa de Mejillones, Martinod et al. (2016b) for northern Chile, and Jara-Muñoz et al. (2015) for
south-central Chile. Absolute ages refer to MIS 5e marine terraces unless
otherwise specified; inferred ages refer to their associated MIS. IRSL:
infrared-stimulated luminescence, AAR: amino-acid racemization, CRN:
cosmogenic radionuclides, ESR: electron spin resonance.</p></caption><oasis:table frame="topbot"><?xmltex \begin{scaleboxenv}{.87}[.87]?><oasis:tgroup cols="8">
     <oasis:colspec colnum="1" colname="col1" align="justify" colwidth="1.5cm"/>
     <oasis:colspec colnum="2" colname="col2" align="justify" colwidth="3cm"/>
     <oasis:colspec colnum="3" colname="col3" align="right"/>
     <oasis:colspec colnum="4" colname="col4" align="right"/>
     <oasis:colspec colnum="5" colname="col5" align="justify" colwidth="2.3cm"/>
     <oasis:colspec colnum="6" colname="col6" align="right"/>
     <oasis:colspec colnum="7" colname="col7" align="justify" colwidth="4cm"/>
     <oasis:colspec colnum="8" colname="col8" align="right"/>
     <oasis:thead>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Country</oasis:entry>
         <oasis:entry colname="col2">Location</oasis:entry>
         <oasis:entry colname="col3">Lat.</oasis:entry>
         <oasis:entry colname="col4">Long.</oasis:entry>
         <oasis:entry colname="col5">Dating method</oasis:entry>
         <oasis:entry colname="col6">Confidence</oasis:entry>
         <oasis:entry colname="col7">Reference</oasis:entry>
         <oasis:entry colname="col8">Age (ka)</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Ecuador</oasis:entry>
         <oasis:entry colname="col2">Galera</oasis:entry>
         <oasis:entry colname="col3">0.81</oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M109" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">80.03</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col5">IRSL</oasis:entry>
         <oasis:entry colname="col6">5</oasis:entry>
         <oasis:entry colname="col7">Pedoja et al. (2006b)</oasis:entry>
         <oasis:entry colname="col8"><inline-formula><mml:math id="M110" display="inline"><mml:mrow><mml:mn mathvariant="normal">98</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">23</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Ecuador</oasis:entry>
         <oasis:entry colname="col2">Manta</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M111" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.93</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M112" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">80.66</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col5">IRSL, U/Th</oasis:entry>
         <oasis:entry colname="col6">5</oasis:entry>
         <oasis:entry colname="col7">Pedoja et al. (2006b)</oasis:entry>
         <oasis:entry colname="col8"><inline-formula><mml:math id="M113" display="inline"><mml:mrow><mml:mn mathvariant="normal">76</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">18</mml:mn></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M114" display="inline"><mml:mrow><mml:mn mathvariant="normal">85</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Ecuador</oasis:entry>
         <oasis:entry colname="col2">La Plata</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M115" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1.26</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M116" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">81.07</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col5">U/Th</oasis:entry>
         <oasis:entry colname="col6">5</oasis:entry>
         <oasis:entry colname="col7">Pedoja et al. (2006b)</oasis:entry>
         <oasis:entry colname="col8"><inline-formula><mml:math id="M117" display="inline"><mml:mrow><mml:mn mathvariant="normal">104</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Ecuador</oasis:entry>
         <oasis:entry colname="col2">Manta</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M118" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1.27</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M119" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">80.78</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col5">IRSL</oasis:entry>
         <oasis:entry colname="col6">5</oasis:entry>
         <oasis:entry colname="col7">Pedoja et al. (2006b)</oasis:entry>
         <oasis:entry colname="col8"><inline-formula><mml:math id="M120" display="inline"><mml:mrow><mml:mn mathvariant="normal">115</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">23</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Ecuador</oasis:entry>
         <oasis:entry colname="col2">Santa Elena</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M121" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2.21</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M122" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">80.88</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col5">U/Th</oasis:entry>
         <oasis:entry colname="col6">5</oasis:entry>
         <oasis:entry colname="col7">Pedoja et al. (2006b)</oasis:entry>
         <oasis:entry colname="col8"><inline-formula><mml:math id="M123" display="inline"><mml:mrow><mml:mn mathvariant="normal">136</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">4</mml:mn></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M124" display="inline"><mml:mrow><mml:mn mathvariant="normal">112</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Ecuador</oasis:entry>
         <oasis:entry colname="col2">Puna</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M125" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2.60</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M126" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">80.40</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col5">U/Th</oasis:entry>
         <oasis:entry colname="col6">5</oasis:entry>
         <oasis:entry colname="col7">Pedoja et al. (2006b)</oasis:entry>
         <oasis:entry colname="col8"><inline-formula><mml:math id="M127" display="inline"><mml:mrow><mml:mn mathvariant="normal">98</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M128" display="inline"><mml:mrow><mml:mn mathvariant="normal">95</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Peru</oasis:entry>
         <oasis:entry colname="col2">Cancas</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M129" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3.72</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M130" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">80.75</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col5">Morphostratigraphy</oasis:entry>
         <oasis:entry colname="col6">5</oasis:entry>
         <oasis:entry colname="col7">Pedoja et al. (2006b)</oasis:entry>
         <oasis:entry colname="col8"><inline-formula><mml:math id="M131" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 125</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Peru</oasis:entry>
         <oasis:entry colname="col2">Mancora/Lobitos</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M132" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">4.10</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M133" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">81.05</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col5">Morphostratigraphy</oasis:entry>
         <oasis:entry colname="col6">5</oasis:entry>
         <oasis:entry colname="col7">Pedoja et al. (2006b)</oasis:entry>
         <oasis:entry colname="col8"><inline-formula><mml:math id="M134" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 125</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Peru</oasis:entry>
         <oasis:entry colname="col2">Talara</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M135" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">4.5</mml:mn></mml:mrow></mml:math></inline-formula>6</oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M136" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">81.28</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col5">Morphostratigraphy</oasis:entry>
         <oasis:entry colname="col6">5</oasis:entry>
         <oasis:entry colname="col7">Pedoja et al. (2006b)</oasis:entry>
         <oasis:entry colname="col8"><inline-formula><mml:math id="M137" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 125</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Peru</oasis:entry>
         <oasis:entry colname="col2">Paita</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M138" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">5.03</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M139" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">81.06</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col5">Morphostratigraphy</oasis:entry>
         <oasis:entry colname="col6">5</oasis:entry>
         <oasis:entry colname="col7">Pedoja et al. (2006b)</oasis:entry>
         <oasis:entry colname="col8"><inline-formula><mml:math id="M140" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 125</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Peru</oasis:entry>
         <oasis:entry colname="col2">Bayovar/Illescas</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M141" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">5.31</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M142" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">81.10</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col5">IRSL</oasis:entry>
         <oasis:entry colname="col6">5</oasis:entry>
         <oasis:entry colname="col7">Pedoja et al. (2006b)</oasis:entry>
         <oasis:entry colname="col8"><inline-formula><mml:math id="M143" display="inline"><mml:mrow><mml:mn mathvariant="normal">111</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">6</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Peru</oasis:entry>
         <oasis:entry colname="col2">Cerro Huevo</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M144" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>15.31</oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M145" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>75.17</oasis:entry>
         <oasis:entry colname="col5">CRN</oasis:entry>
         <oasis:entry colname="col6">5</oasis:entry>
         <oasis:entry colname="col7">Saillard et al. (2011)</oasis:entry>
         <oasis:entry colname="col8">228 <inline-formula><mml:math id="M146" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 28 (7e)</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Peru</oasis:entry>
         <oasis:entry colname="col2">Chala Bay</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M147" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>15.85</oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M148" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>74.31</oasis:entry>
         <oasis:entry colname="col5">CRN</oasis:entry>
         <oasis:entry colname="col6">5</oasis:entry>
         <oasis:entry colname="col7">Saillard (2008)</oasis:entry>
         <oasis:entry colname="col8"><inline-formula><mml:math id="M149" display="inline"><mml:mo>&gt;</mml:mo></mml:math></inline-formula> 100</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Peru</oasis:entry>
         <oasis:entry colname="col2">Ilo</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M150" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>17.55</oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M151" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>71.37</oasis:entry>
         <oasis:entry colname="col5">AAR</oasis:entry>
         <oasis:entry colname="col6">5</oasis:entry>
         <oasis:entry colname="col7">Ortlieb et al. (1996b);</oasis:entry>
         <oasis:entry colname="col8"><inline-formula><mml:math id="M152" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 125,</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3"/>
         <oasis:entry colname="col4"/>
         <oasis:entry colname="col5"/>
         <oasis:entry colname="col6"/>
         <oasis:entry colname="col7">Hsu et al. (1989)</oasis:entry>
         <oasis:entry colname="col8"><inline-formula><mml:math id="M153" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 105</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Chile</oasis:entry>
         <oasis:entry colname="col2">Punta Lobos</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M154" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>20.35</oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M155" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>70.18</oasis:entry>
         <oasis:entry colname="col5">U/Th, ESR</oasis:entry>
         <oasis:entry colname="col6">5</oasis:entry>
         <oasis:entry colname="col7">Radtke (1989)</oasis:entry>
         <oasis:entry colname="col8"><inline-formula><mml:math id="M156" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 125</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Chile</oasis:entry>
         <oasis:entry colname="col2">Cobija</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M157" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>22.55</oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M158" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>70.26</oasis:entry>
         <oasis:entry colname="col5">Morphostratigraphy</oasis:entry>
         <oasis:entry colname="col6">4</oasis:entry>
         <oasis:entry colname="col7">Ortlieb et al. (1995)</oasis:entry>
         <oasis:entry colname="col8"><inline-formula><mml:math id="M159" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 125, <inline-formula><mml:math id="M160" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 105</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Chile</oasis:entry>
         <oasis:entry colname="col2">Michilla</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M161" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>22.71</oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M162" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>70.28</oasis:entry>
         <oasis:entry colname="col5">AAR</oasis:entry>
         <oasis:entry colname="col6">3</oasis:entry>
         <oasis:entry colname="col7">Leonard and Wehmiller (1991)</oasis:entry>
         <oasis:entry colname="col8"><inline-formula><mml:math id="M163" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 125</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Chile</oasis:entry>
         <oasis:entry colname="col2">Hornitos</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M164" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>22.85</oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M165" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>70.30</oasis:entry>
         <oasis:entry colname="col5">U/Th</oasis:entry>
         <oasis:entry colname="col6">5</oasis:entry>
         <oasis:entry colname="col7">Ortlieb et al. (1996a)</oasis:entry>
         <oasis:entry colname="col8">108 <inline-formula><mml:math id="M166" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 1, 118 <inline-formula><mml:math id="M167" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 6</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Chile</oasis:entry>
         <oasis:entry colname="col2">Chacaya</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M168" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>22.95</oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M169" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>70.30</oasis:entry>
         <oasis:entry colname="col5">AAR</oasis:entry>
         <oasis:entry colname="col6">5</oasis:entry>
         <oasis:entry colname="col7">Ortlieb et al. (1996a)</oasis:entry>
         <oasis:entry colname="col8"><inline-formula><mml:math id="M170" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 125</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Chile</oasis:entry>
         <oasis:entry colname="col2">Pampa Mejillones</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M171" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>23.14</oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M172" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>70.45</oasis:entry>
         <oasis:entry colname="col5">U/Th</oasis:entry>
         <oasis:entry colname="col6">5</oasis:entry>
         <oasis:entry colname="col7">Victor et al. (2011)</oasis:entry>
         <oasis:entry colname="col8">124 <inline-formula><mml:math id="M173" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 3</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Chile</oasis:entry>
         <oasis:entry colname="col2">Mejillones/<?xmltex \hack{\hfill\break}?>Punta Jorge</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M174" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>23.54</oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M175" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>70.55</oasis:entry>
         <oasis:entry colname="col5">U/Th, ESR</oasis:entry>
         <oasis:entry colname="col6">3</oasis:entry>
         <oasis:entry colname="col7">Radtke (1989)</oasis:entry>
         <oasis:entry colname="col8"><inline-formula><mml:math id="M176" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 125</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Chile</oasis:entry>
         <oasis:entry colname="col2">Coloso</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M177" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>23.76</oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M178" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>70.46</oasis:entry>
         <oasis:entry colname="col5">ESR</oasis:entry>
         <oasis:entry colname="col6">3</oasis:entry>
         <oasis:entry colname="col7">Schellmann and Radtke (1997)</oasis:entry>
         <oasis:entry colname="col8">106 <inline-formula><mml:math id="M179" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 3</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Chile</oasis:entry>
         <oasis:entry colname="col2">Punta Piedras</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M180" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>24.76</oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M181" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>70.55</oasis:entry>
         <oasis:entry colname="col5">CRN</oasis:entry>
         <oasis:entry colname="col6">5</oasis:entry>
         <oasis:entry colname="col7">Martinod et al. (2016b)</oasis:entry>
         <oasis:entry colname="col8">138 <inline-formula><mml:math id="M182" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 15</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Chile</oasis:entry>
         <oasis:entry colname="col2">Esmeralda</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M183" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>25.91</oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M184" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>70.67</oasis:entry>
         <oasis:entry colname="col5">CRN</oasis:entry>
         <oasis:entry colname="col6">5</oasis:entry>
         <oasis:entry colname="col7">Martinod et al. (2016b)</oasis:entry>
         <oasis:entry colname="col8">79 <inline-formula><mml:math id="M185" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 9</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Chile</oasis:entry>
         <oasis:entry colname="col2">Caldera</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M186" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>27.01</oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M187" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>70.81</oasis:entry>
         <oasis:entry colname="col5">U/Th, ESR</oasis:entry>
         <oasis:entry colname="col6">5</oasis:entry>
         <oasis:entry colname="col7">Marquardt et al. (2004)</oasis:entry>
         <oasis:entry colname="col8"><inline-formula><mml:math id="M188" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 125</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Chile</oasis:entry>
         <oasis:entry colname="col2">Bahía Inglesa</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M189" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>27.10</oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M190" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>70.85</oasis:entry>
         <oasis:entry colname="col5">U/Th, ESR</oasis:entry>
         <oasis:entry colname="col6">5</oasis:entry>
         <oasis:entry colname="col7">Marquardt et al. (2004)</oasis:entry>
         <oasis:entry colname="col8"><inline-formula><mml:math id="M191" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 125</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Chile</oasis:entry>
         <oasis:entry colname="col2">Caleta Chañaral</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M192" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>29.03</oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M193" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>71.49</oasis:entry>
         <oasis:entry colname="col5">CRN</oasis:entry>
         <oasis:entry colname="col6">5</oasis:entry>
         <oasis:entry colname="col7">Martinod et al. (2016b)</oasis:entry>
         <oasis:entry colname="col8">138 <inline-formula><mml:math id="M194" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Chile</oasis:entry>
         <oasis:entry colname="col2">Coquimbo</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M195" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>29.96</oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M196" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>71.34</oasis:entry>
         <oasis:entry colname="col5">AAR</oasis:entry>
         <oasis:entry colname="col6">5</oasis:entry>
         <oasis:entry colname="col7">Leonard and Wehmiller</oasis:entry>
         <oasis:entry colname="col8"><inline-formula><mml:math id="M197" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 125</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3"/>
         <oasis:entry colname="col4"/>
         <oasis:entry colname="col5"/>
         <oasis:entry colname="col6"/>
         <oasis:entry colname="col7">(1992); Hsu et al. (1989)</oasis:entry>
         <oasis:entry colname="col8"/>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Chile</oasis:entry>
         <oasis:entry colname="col2">Punta Lengua de Vaca</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M198" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>30.24</oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M199" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>71.63</oasis:entry>
         <oasis:entry colname="col5">U/Th</oasis:entry>
         <oasis:entry colname="col6">5</oasis:entry>
         <oasis:entry colname="col7">Saillard et al. (2012)</oasis:entry>
         <oasis:entry colname="col8">95 <inline-formula><mml:math id="M200" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 2 (5c)</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Chile</oasis:entry>
         <oasis:entry colname="col2">Punta Lengua de Vaca</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M201" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>30.30</oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M202" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>71.61</oasis:entry>
         <oasis:entry colname="col5">U/Th</oasis:entry>
         <oasis:entry colname="col6">5</oasis:entry>
         <oasis:entry colname="col7">Saillard et al. (2012)</oasis:entry>
         <oasis:entry colname="col8">386 <inline-formula><mml:math id="M203" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 124 (11)</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Chile</oasis:entry>
         <oasis:entry colname="col2">Quebrada Palo Cortado</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M204" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>30.44</oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M205" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>71.69</oasis:entry>
         <oasis:entry colname="col5">CRN</oasis:entry>
         <oasis:entry colname="col6">5</oasis:entry>
         <oasis:entry colname="col7">Saillard et al. (2009)</oasis:entry>
         <oasis:entry colname="col8">149 <inline-formula><mml:math id="M206" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 10</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Chile</oasis:entry>
         <oasis:entry colname="col2">Limarí River</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M207" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>30.63</oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M208" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>71.71</oasis:entry>
         <oasis:entry colname="col5">CRN</oasis:entry>
         <oasis:entry colname="col6">5</oasis:entry>
         <oasis:entry colname="col7">Saillard et al. (2009)</oasis:entry>
         <oasis:entry colname="col8">318 <inline-formula><mml:math id="M209" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 30 (9c)</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Chile</oasis:entry>
         <oasis:entry colname="col2">Quebrada de la Mula</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M210" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>30.79</oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M211" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>71.70</oasis:entry>
         <oasis:entry colname="col5">CRN</oasis:entry>
         <oasis:entry colname="col6">5</oasis:entry>
         <oasis:entry colname="col7">Saillard et al. (2009)</oasis:entry>
         <oasis:entry colname="col8">225 <inline-formula><mml:math id="M212" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 17 (7e)</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Chile</oasis:entry>
         <oasis:entry colname="col2">Quebrada del Teniente</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M213" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>30.89</oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M214" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>71.68</oasis:entry>
         <oasis:entry colname="col5">CRN</oasis:entry>
         <oasis:entry colname="col6">5</oasis:entry>
         <oasis:entry colname="col7">Saillard et al. (2009)</oasis:entry>
         <oasis:entry colname="col8">678 <inline-formula><mml:math id="M215" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 51 (17)</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Chile</oasis:entry>
         <oasis:entry colname="col2">Puertecillo</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M216" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>34.09</oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M217" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>71.94</oasis:entry>
         <oasis:entry colname="col5">IRSL</oasis:entry>
         <oasis:entry colname="col6">5</oasis:entry>
         <oasis:entry colname="col7">Jara-Munoz et al. (2015)</oasis:entry>
         <oasis:entry colname="col8">87 <inline-formula><mml:math id="M218" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 7 (5c)</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Chile</oasis:entry>
         <oasis:entry colname="col2">Pichilemu</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M219" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>34.38</oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M220" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>71.97</oasis:entry>
         <oasis:entry colname="col5">IRSL</oasis:entry>
         <oasis:entry colname="col6">5</oasis:entry>
         <oasis:entry colname="col7">Jara-Munoz et al. (2015)</oasis:entry>
         <oasis:entry colname="col8">106 <inline-formula><mml:math id="M221" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 9 (5c)</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup><?xmltex \end{scaleboxenv}?></oasis:table></table-wrap>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T2" specific-use="star"><?xmltex \currentcnt{1}?><label>Table 1</label><caption><p id="d1e3232">Continued.</p></caption><oasis:table frame="topbot"><?xmltex \begin{scaleboxenv}{.87}[.87]?><oasis:tgroup cols="8">
     <oasis:colspec colnum="1" colname="col1" align="justify" colwidth="1.5cm"/>
     <oasis:colspec colnum="2" colname="col2" align="justify" colwidth="3cm"/>
     <oasis:colspec colnum="3" colname="col3" align="right"/>
     <oasis:colspec colnum="4" colname="col4" align="right"/>
     <oasis:colspec colnum="5" colname="col5" align="justify" colwidth="2.3cm"/>
     <oasis:colspec colnum="6" colname="col6" align="right"/>
     <oasis:colspec colnum="7" colname="col7" align="justify" colwidth="4cm"/>
     <oasis:colspec colnum="8" colname="col8" align="right"/>
     <oasis:thead>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Country</oasis:entry>
         <oasis:entry colname="col2">Location</oasis:entry>
         <oasis:entry colname="col3">Lat.</oasis:entry>
         <oasis:entry colname="col4">Long.</oasis:entry>
         <oasis:entry colname="col5">Dating method</oasis:entry>
         <oasis:entry colname="col6">Confidence</oasis:entry>
         <oasis:entry colname="col7">Reference</oasis:entry>
         <oasis:entry colname="col8">Age (ka)</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Chile</oasis:entry>
         <oasis:entry colname="col2">Putu</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M222" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>35.16</oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M223" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>72.25</oasis:entry>
         <oasis:entry colname="col5">IRSL</oasis:entry>
         <oasis:entry colname="col6">5</oasis:entry>
         <oasis:entry colname="col7">Jara-Munoz et al. (2015)</oasis:entry>
         <oasis:entry colname="col8">85 <inline-formula><mml:math id="M224" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 8 (5c)</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Chile</oasis:entry>
         <oasis:entry colname="col2">Constitucion</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M225" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>35.40</oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M226" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>72.49</oasis:entry>
         <oasis:entry colname="col5">IRSL</oasis:entry>
         <oasis:entry colname="col6">5</oasis:entry>
         <oasis:entry colname="col7">Jara-Munoz et al. (2015)</oasis:entry>
         <oasis:entry colname="col8">105 <inline-formula><mml:math id="M227" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 8 (5c)</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Chile</oasis:entry>
         <oasis:entry colname="col2">Constitucion</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M228" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>35.44</oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M229" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>72.47</oasis:entry>
         <oasis:entry colname="col5">IRSL</oasis:entry>
         <oasis:entry colname="col6">5</oasis:entry>
         <oasis:entry colname="col7">Jara-Munoz et al. (2015)</oasis:entry>
         <oasis:entry colname="col8">124 <inline-formula><mml:math id="M230" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 11</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Chile</oasis:entry>
         <oasis:entry colname="col2">Carranza</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M231" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>35.58</oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M232" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>72.61</oasis:entry>
         <oasis:entry colname="col5">IRSL</oasis:entry>
         <oasis:entry colname="col6">5</oasis:entry>
         <oasis:entry colname="col7">Jara-Munoz et al. (2015)</oasis:entry>
         <oasis:entry colname="col8">67 <inline-formula><mml:math id="M233" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 6 (5c)</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Chile</oasis:entry>
         <oasis:entry colname="col2">Carranza</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M234" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>35.64</oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M235" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>72.54</oasis:entry>
         <oasis:entry colname="col5">IRSL</oasis:entry>
         <oasis:entry colname="col6">5</oasis:entry>
         <oasis:entry colname="col7">Jara-Munoz et al. (2015)</oasis:entry>
         <oasis:entry colname="col8">104 <inline-formula><mml:math id="M236" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 9</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Chile</oasis:entry>
         <oasis:entry colname="col2">Pelluhue</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M237" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>35.80</oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M238" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>72.54</oasis:entry>
         <oasis:entry colname="col5">IRSL</oasis:entry>
         <oasis:entry colname="col6">5</oasis:entry>
         <oasis:entry colname="col7">Jara-Munoz et al. (2015)</oasis:entry>
         <oasis:entry colname="col8">112 <inline-formula><mml:math id="M239" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 10</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Chile</oasis:entry>
         <oasis:entry colname="col2">Pelluhue</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M240" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>35.80</oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M241" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>72.55</oasis:entry>
         <oasis:entry colname="col5">IRSL</oasis:entry>
         <oasis:entry colname="col6">5</oasis:entry>
         <oasis:entry colname="col7">Jara-Munoz et al. (2015)</oasis:entry>
         <oasis:entry colname="col8">102 <inline-formula><mml:math id="M242" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 9 (5c)</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Chile</oasis:entry>
         <oasis:entry colname="col2">Curanipe</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M243" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>35.97</oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M244" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>72.78</oasis:entry>
         <oasis:entry colname="col5">IRSL</oasis:entry>
         <oasis:entry colname="col6">5</oasis:entry>
         <oasis:entry colname="col7">Jara-Munoz et al. (2015)</oasis:entry>
         <oasis:entry colname="col8">265 <inline-formula><mml:math id="M245" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 29</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Chile</oasis:entry>
         <oasis:entry colname="col2">Arauco</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M246" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>37.62</oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M247" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>73.67</oasis:entry>
         <oasis:entry colname="col5">IRSL</oasis:entry>
         <oasis:entry colname="col6">5</oasis:entry>
         <oasis:entry colname="col7">Jara-Munoz et al. (2015)</oasis:entry>
         <oasis:entry colname="col8">89 <inline-formula><mml:math id="M248" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 9 (5c)</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Chile</oasis:entry>
         <oasis:entry colname="col2">Arauco</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M249" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>37.68</oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M250" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>73.57</oasis:entry>
         <oasis:entry colname="col5">CRN</oasis:entry>
         <oasis:entry colname="col6">5</oasis:entry>
         <oasis:entry colname="col7">Melnick et al. (2009)</oasis:entry>
         <oasis:entry colname="col8">127 <inline-formula><mml:math id="M251" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 13</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Chile</oasis:entry>
         <oasis:entry colname="col2">Arauco</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M252" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>37.71</oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M253" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>73.39</oasis:entry>
         <oasis:entry colname="col5">CRN</oasis:entry>
         <oasis:entry colname="col6">5</oasis:entry>
         <oasis:entry colname="col7">Melnick et al. (2009)</oasis:entry>
         <oasis:entry colname="col8">133 <inline-formula><mml:math id="M254" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 14</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Chile</oasis:entry>
         <oasis:entry colname="col2">Arauco</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M255" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>37.76</oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M256" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>73.38</oasis:entry>
         <oasis:entry colname="col5">CRN</oasis:entry>
         <oasis:entry colname="col6">5</oasis:entry>
         <oasis:entry colname="col7">Melnick et al. (2009)</oasis:entry>
         <oasis:entry colname="col8">130 <inline-formula><mml:math id="M257" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 13</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Chile</oasis:entry>
         <oasis:entry colname="col2">Cerro Caleta Curiñanco</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M258" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>39.72</oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M259" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>73.40</oasis:entry>
         <oasis:entry colname="col5">Tephrochronology</oasis:entry>
         <oasis:entry colname="col6">4</oasis:entry>
         <oasis:entry colname="col7">Pino et al. (2002)</oasis:entry>
         <oasis:entry colname="col8"><inline-formula><mml:math id="M260" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 125</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Chile</oasis:entry>
         <oasis:entry colname="col2">South Curiñanco</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M261" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>39.76</oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M262" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>73.39</oasis:entry>
         <oasis:entry colname="col5">Tephrochronology</oasis:entry>
         <oasis:entry colname="col6">4</oasis:entry>
         <oasis:entry colname="col7">Pino et al. (2002)</oasis:entry>
         <oasis:entry colname="col8"><inline-formula><mml:math id="M263" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 125</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Chile</oasis:entry>
         <oasis:entry colname="col2">Valdivia</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M264" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>39.80</oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M265" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>73.39</oasis:entry>
         <oasis:entry colname="col5">Tephrochronology</oasis:entry>
         <oasis:entry colname="col6">4</oasis:entry>
         <oasis:entry colname="col7">Pino et al. (2002)</oasis:entry>
         <oasis:entry colname="col8"><inline-formula><mml:math id="M266" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 125</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Chile</oasis:entry>
         <oasis:entry colname="col2">Camping Bellavista</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M267" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>39.85</oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M268" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>73.40</oasis:entry>
         <oasis:entry colname="col5">Tephrochronology</oasis:entry>
         <oasis:entry colname="col6">4</oasis:entry>
         <oasis:entry colname="col7">Pino et al. (2002)</oasis:entry>
         <oasis:entry colname="col8"><inline-formula><mml:math id="M269" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 125</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Chile</oasis:entry>
         <oasis:entry colname="col2">Mancera</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M270" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>39.89</oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M271" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>73.39</oasis:entry>
         <oasis:entry colname="col5">Tephrochronology</oasis:entry>
         <oasis:entry colname="col6">5</oasis:entry>
         <oasis:entry colname="col7">Silva (2005)</oasis:entry>
         <oasis:entry colname="col8"><inline-formula><mml:math id="M272" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 125</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup><?xmltex \end{scaleboxenv}?></oasis:table></table-wrap>

      <?xmltex \floatpos{t}?><fig id="Ch1.F3"><?xmltex \currentcnt{3}?><?xmltex \def\figurename{Figure}?><label>Figure 3</label><caption><p id="d1e4089">Comparison of MIS 5 uplift-rate estimates. <bold>(a)</bold> Uplift rates
derived by correlating mapped terrace occurrences located immediately below
the MIS 5e level to either MIS 5c (blue) or MIS 5a (red) with respect to
MIS 5e uplift rates. Marine terraces correlated to MIS 5c by an age
constraint are plotted in gray color. <bold>(b)</bold> Histograms of differences between
MIS 5a or MIS 5c uplift rates and MIS 5e uplift rates. Vertical lines show
median uplift-rate differences. See Sect. 2.2.2 for relative sea-level
elevations of MIS 5a, 5c, and 5e.</p></caption>
          <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://essd.copernicus.org/articles/13/2487/2021/essd-13-2487-2021-f03.png"/>

        </fig>

      <p id="d1e4104">In addition to MIS 5e, we also mapped MIS 5c in areas with high uplift rates
such as at the Manta Peninsula, San Juan de Marcona, Topocalma, Carranza,
and Arauco. Although we observed a terrace level correlated to MIS 5a in the
Marcona area, we excluded this level from the database due to its limited
preservation at other locations and lack of chronological constraints. Our
assignment of mapped terrace levels to MIS 5c is primarily based on age
constraints by Saillard et al. (2011) for the Marcona area and
Jara-Muñoz et al. (2015) for the area between 34 and
38<inline-formula><mml:math id="M273" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S. However, in order to evaluate the possibility that our
correlation with MIS 5c is flawed, we estimated uplift rates for the lower
terraces by assigning them tentatively to either MIS 5a or MIS 5c. We
interpolated the uplift rates derived from the MIS 5e level at the sites of
the lower terraces and compared the differences (Fig. 3a). If we infer
that uplift rates were constant in time at each site throughout the three
MIS 5 substages, the comparison suggests these lower terrace levels
correspond to MIS 5c because of the smaller difference in uplift rate
rather than to MIS 5a (Fig. 3b).</p>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T3" specific-use="star"><?xmltex \currentcnt{2}?><label>Table 2</label><caption><p id="d1e4119">Median values and standard deviations (2<inline-formula><mml:math id="M274" display="inline"><mml:mi mathvariant="italic">σ</mml:mi></mml:math></inline-formula>) representing the
indicative meaning along the WSAC. The four sectors were chosen based on
their main geomorphic characteristics (see Sect. 4).</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="5">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="right"/>
     <oasis:colspec colnum="3" colname="col3" align="right"/>
     <oasis:colspec colnum="4" colname="col4" align="right"/>
     <oasis:colspec colnum="5" colname="col5" align="right"/>
     <oasis:thead>
       <oasis:row>
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2">Upper limit of</oasis:entry>
         <oasis:entry colname="col3">Lower limit of</oasis:entry>
         <oasis:entry colname="col4">Reference</oasis:entry>
         <oasis:entry colname="col5">Indicative</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2">modern analog (m)</oasis:entry>
         <oasis:entry colname="col3">modern analog (m)</oasis:entry>
         <oasis:entry colname="col4">water level (m)</oasis:entry>
         <oasis:entry colname="col5">range (m)</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>
         <oasis:entry colname="col1">Ecuador and northern Peru</oasis:entry>
         <oasis:entry colname="col2">2.89 <inline-formula><mml:math id="M275" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.16</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M276" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>1.78 <inline-formula><mml:math id="M277" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.47</oasis:entry>
         <oasis:entry colname="col4">0.54 <inline-formula><mml:math id="M278" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.21</oasis:entry>
         <oasis:entry colname="col5">4.66 <inline-formula><mml:math id="M279" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.65</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Central and southern Peru</oasis:entry>
         <oasis:entry colname="col2">2.98 <inline-formula><mml:math id="M280" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.31</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M281" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>3.05 <inline-formula><mml:math id="M282" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.52</oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M283" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.03 <inline-formula><mml:math id="M284" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.11</oasis:entry>
         <oasis:entry colname="col5">6.06 <inline-formula><mml:math id="M285" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.90</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Northern Chile</oasis:entry>
         <oasis:entry colname="col2">3.01 <inline-formula><mml:math id="M286" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.15</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M287" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>2.89 <inline-formula><mml:math id="M288" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.30</oasis:entry>
         <oasis:entry colname="col4">0.06 <inline-formula><mml:math id="M289" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.08</oasis:entry>
         <oasis:entry colname="col5">5.90 <inline-formula><mml:math id="M290" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.51</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Central Chile</oasis:entry>
         <oasis:entry colname="col2">3.21 <inline-formula><mml:math id="M291" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.19</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M292" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>3.03 <inline-formula><mml:math id="M293" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.38</oasis:entry>
         <oasis:entry colname="col4">0.07 <inline-formula><mml:math id="M294" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.11</oasis:entry>
         <oasis:entry colname="col5">6.25 <inline-formula><mml:math id="M295" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.60</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

      <p id="d1e4399">A rigorous assessment of marine terrace elevations is crucial for
determining accurate vertical deformation rates. Since fluvial degradation
and hillslope processes subsequent to the abandonment of marine terraces may
alter terrace morphology (Anderson et al., 1999; Jara-Muñoz et al.,
2015), direct measurements of terrace elevations at the inner edge (foot of
the paleo-cliff) may result in overestimation of the terrace elevations and
vertical deformation rates (Jara-Muñoz et al., 2015). To precisely
measure the shoreline-angle elevations of the MIS 5 terrace level, we used a
profile-based approach in TerraceM, a graphical user interface in
MATLAB<sup>®</sup> (Jara-Muñoz et al., 2016); <uri>http://www.terracem.com/</uri> (last access: 6 May 2021). We
placed swath profiles of variable width perpendicular to the previously
mapped inner edge, which were used by the TerraceM algorithm to extract
maximum elevations to avoid areas of fluvial incision (Fig. 2a and b). For
the placement of the swath profiles we tried to capture a local
representation of marine terrace topography with a sufficiently long, planar
paleo-platform and a sufficiently high paleo-cliff, simultaneously avoiding
topographic disturbance, such as colluvial wedges or areas affected by
incision. North of Caleta Chañaral (29<inline-formula><mml:math id="M296" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S), we used swath
profiles of 200 m width, although we occasionally used 100 m wide profiles
for narrow terrace remnants. South of 29<inline-formula><mml:math id="M297" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S, we used swath widths
of 130 and 70 m. The width was chosen based on fluvial drainage densities
that are associated with precipitation gradients. Sensitivity tests
comparing shoreline-angle measurements from different swath widths in the
Chala Bay and at Punta Galera show only minimal vertical deviations of less
than 0.5 m (Fig. 2e). The sections of these profiles, which represent the
undisturbed paleo-platform and paleo-cliff areas, were picked manually and
fitted by linear regression. The extrapolated intersection between both
regression lines ultimately allowed us to determine the buried
shoreline-angle elevation and associated uncertainty, which is derived from
the 95 % confidence interval (2<inline-formula><mml:math id="M298" display="inline"><mml:mi mathvariant="italic">σ</mml:mi></mml:math></inline-formula>) of both regressions (Fig. 2c and d). In total, we measured 1843 MIS 5e and 110 MIS 5c shoreline-angle
elevations. To quantify the paleo-position of the relative sea-level
elevation and the involved uncertainty for the WALIS database, we calculated
the indicative meaning for each marine terrace measurement using the IMCalc
software from Lorscheid and Rovere (2019). The indicative meaning comprises
the range between the lower and upper limits of sea-level formation – the
indicative range – as well as its mathematically averaged position, which
corresponds to the reference water level (Lorscheid and Rovere, 2019). Table 2<?pagebreak page2497?> documents the medians and standard deviations of these values for four
extensive regions along the WSAC.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F4"><?xmltex \currentcnt{4}?><?xmltex \def\figurename{Figure}?><label>Figure 4</label><caption><p id="d1e4436">Influence of the parameters on the quality rating. The <inline-formula><mml:math id="M299" display="inline"><mml:mi>x</mml:mi></mml:math></inline-formula> axis is
the distance to reference point (RP), the <inline-formula><mml:math id="M300" display="inline"><mml:mi>y</mml:mi></mml:math></inline-formula> axis is the quality rating, and the
color lines represent different values of quality-rating parameters. While
one parameter is being tested, the remaining parameters are set to their
best values. That is why the QR does not reach values of 1 in the graphs
displayed here. <bold>(a)</bold> Shoreline-angle elevation error. <bold>(b)</bold> Confidence value of
the referencing point. <bold>(c)</bold> Topographic resolution of the DEM used for
terrace-elevation estimation. <bold>(d)</bold> Histogram displaying the distribution of
distances between each shoreline-angle measurement and its nearest RP (<inline-formula><mml:math id="M301" display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>:
number of measurements). The red line is an exponential fit.</p></caption>
          <?xmltex \igopts{width=199.169291pt}?><graphic xlink:href="https://essd.copernicus.org/articles/13/2487/2021/essd-13-2487-2021-f04.png"/>

        </fig>

      <?pagebreak page2498?><p id="d1e4479">To quantify the reliability and consistency of our shoreline-angle
measurements, we developed a quality rating from low (1) to high (5)
confidence. Equation (1) illustrates how we calculated the individual
parameters and the overall quality rating:
            <disp-formula id="Ch1.E1" content-type="numbered"><label>1</label><mml:math id="M302" display="block"><mml:mtable rowspacing="0.2ex" class="split" columnspacing="1em" displaystyle="true" columnalign="right left"><mml:mtr><mml:mtd><mml:mrow><mml:mtext>QR</mml:mtext><mml:mo>=</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:mtd><mml:mtd><mml:mrow><mml:mo>+</mml:mo><mml:mn mathvariant="normal">2.4</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mfenced open="(" close=")"><mml:mrow><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:msub><mml:mi>C</mml:mi><mml:mtext>RP</mml:mtext></mml:msub></mml:mrow><mml:mrow><mml:mo>max⁡</mml:mo><mml:mo>(</mml:mo><mml:msub><mml:mi>C</mml:mi><mml:mtext>RP</mml:mtext></mml:msub><mml:mo>)</mml:mo></mml:mrow></mml:mfrac></mml:mstyle><mml:mo>×</mml:mo><mml:mfenced open="(" close=")"><mml:mrow><mml:mn mathvariant="normal">1</mml:mn><mml:mo>-</mml:mo><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:msub><mml:mi>D</mml:mi><mml:mtext>RP</mml:mtext></mml:msub></mml:mrow><mml:mrow><mml:mo>max⁡</mml:mo><mml:mfenced open="(" close=")"><mml:mrow><mml:msub><mml:mi>D</mml:mi><mml:mtext>RP</mml:mtext></mml:msub></mml:mrow></mml:mfenced></mml:mrow></mml:mfrac></mml:mstyle></mml:mrow></mml:mfenced></mml:mrow></mml:mfenced><mml:mi>e</mml:mi></mml:msup></mml:mrow></mml:mtd></mml:mtr><mml:mtr><mml:mtd/><mml:mtd><mml:mrow><mml:mo>+</mml:mo><mml:mn mathvariant="normal">1.2</mml:mn><mml:mo>×</mml:mo><mml:mfenced open="(" close=")"><mml:mrow><mml:mn mathvariant="normal">1</mml:mn><mml:mo>-</mml:mo><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:msub><mml:mi>E</mml:mi><mml:mtext>T</mml:mtext></mml:msub></mml:mrow><mml:mrow><mml:mo>max⁡</mml:mo><mml:mfenced open="(" close=")"><mml:mrow><mml:msub><mml:mi>E</mml:mi><mml:mtext>T</mml:mtext></mml:msub></mml:mrow></mml:mfenced></mml:mrow></mml:mfrac></mml:mstyle></mml:mrow></mml:mfenced></mml:mrow></mml:mtd></mml:mtr><mml:mtr><mml:mtd/><mml:mtd><mml:mrow><mml:mo>+</mml:mo><mml:mn mathvariant="normal">0.4</mml:mn><mml:mo>×</mml:mo><mml:mn mathvariant="normal">1.2</mml:mn><mml:mo>×</mml:mo><mml:mfenced close=")" open="("><mml:mrow><mml:mn mathvariant="normal">1</mml:mn><mml:mo>-</mml:mo><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mi>R</mml:mi><mml:mrow><mml:mo>max⁡</mml:mo><mml:mo>(</mml:mo><mml:mi>R</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:mfrac></mml:mstyle></mml:mrow></mml:mfenced><mml:mo>.</mml:mo></mml:mrow></mml:mtd></mml:mtr></mml:mtable></mml:math></disp-formula>
          The four parameters included in our quality rating (QR) comprise (a) the
distance to the nearest referencing point (<inline-formula><mml:math id="M303" display="inline"><mml:mrow><mml:msub><mml:mi>D</mml:mi><mml:mtext>RP</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula>), (b) the confidence of
the referencing point based on the dating method used by previous studies
(<inline-formula><mml:math id="M304" display="inline"><mml:mrow><mml:msub><mml:mi>C</mml:mi><mml:mtext>RP</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula>) (Pedoja et al., 2011), (c) the measurement error in TerraceM
(<inline-formula><mml:math id="M305" display="inline"><mml:mrow><mml:msub><mml:mi>E</mml:mi><mml:mtext>T</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula>), and (d) the pixel-scale resolution of the topographic data set (<inline-formula><mml:math id="M306" display="inline"><mml:mi>R</mml:mi></mml:math></inline-formula>) (Fig. 4). We did not include the error that results from the usage of
different swath widths since the calculated elevation difference with
respect to the most frequently used 200 m swath width is very low (<inline-formula><mml:math id="M307" display="inline"><mml:mo lspace="0mm">&lt;</mml:mo></mml:math></inline-formula> 0.5 m) (Fig. 2e). From the reference points we only used data points with a
confidence value of 3 or greater (1 – poor, 5 – very good) based on the
previous qualification of Pedoja et al. (2011). The confidence depends
mainly on the reliability of the dating method but can be increased by good
age constraints of adjacent terrace levels or detailed morphostratigraphic
correlations, such as in Chala Bay (Fig. 2a) (Goy et al., 1992; Saillard,
2008). We further used this confidence value to quantify the quality of the
age constraints in the WALIS template.<?xmltex \hack{\newpage}?></p>
      <p id="d1e4674">To account for the different uncertainties of the individual parameters in
the QR, we combined and weighted the parameters <inline-formula><mml:math id="M308" display="inline"><mml:mrow><mml:msub><mml:mi>D</mml:mi><mml:mtext>RP</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M309" display="inline"><mml:mrow><mml:msub><mml:mi>C</mml:mi><mml:mtext>RP</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> in a first equation claiming 60 % of the final QR, <inline-formula><mml:math id="M310" display="inline"><mml:mrow><mml:msub><mml:mi>E</mml:mi><mml:mtext>T</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> in a second, and <inline-formula><mml:math id="M311" display="inline"><mml:mi>R</mml:mi></mml:math></inline-formula> in a third equation weighted 30 % and 10 %, respectively. We justify these percentages by the fact that the distance and confidence to the nearest
referencing point is of utmost importance for identifying the MIS 5e terrace
level. The measurement error represents how well the mapping of the
paleo-platform and paleo-cliff resulted in the shoreline-angle measurement,
while the topographic resolution of the underlying DEM only influences the
precise representation of the actual topography and has little impact on the
measurement itself. The coefficient assigned to the topographic resolution
is multiplied by a factor of 1.2 in order to maintain the possibility of a
maximum QR for a DEM resolution of 5 m. Furthermore, we added an exponent to
the first part of the equation to reinforce low confidence and/or high
distance of the referencing point for low-quality ratings. The exponent
adjusts the QR according to the distribution of distances from referencing
points, which follows an exponential relationship (Fig. 4d).</p>
      <p id="d1e4717">The influence of each parameter to the quality rating can be observed in
Fig. 4. We observe that for high <inline-formula><mml:math id="M312" display="inline"><mml:mrow><mml:msub><mml:mi>D</mml:mi><mml:mtext>RP</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> values the QR becomes constant; likewise, the influence of QR parameters becomes significant for QR values higher than 3. We justify the constancy of the QR for high <inline-formula><mml:math id="M313" display="inline"><mml:mrow><mml:msub><mml:mi>D</mml:mi><mml:mtext>RP</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> values (<inline-formula><mml:math id="M314" display="inline"><mml:mo lspace="0mm">&gt;</mml:mo></mml:math></inline-formula> 300 km) by the fact that most terrace measurements have <inline-formula><mml:math id="M315" display="inline"><mml:mrow><mml:msub><mml:mi>D</mml:mi><mml:mtext>RP</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> values below 200 km (Fig. 4d). The quality rating is then used as a descriptor of the confidence of marine terrace-elevation measurements.</p>
</sec>
<sec id="Ch1.S3.SS2">
  <label>3.2</label><title>Estimating coastal uplift rates</title>
      <p id="d1e4768">Uplift-rate estimates from marine terraces <inline-formula><mml:math id="M316" display="inline"><mml:mrow><mml:mo>(</mml:mo><mml:mi>u</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> were calculated using Eqs. (2) and (3):

                <disp-formula specific-use="align" content-type="numbered"><mml:math id="M317" display="block"><mml:mtable displaystyle="true"><mml:mlabeledtr id="Ch1.E2"><mml:mtd><mml:mtext>2</mml:mtext></mml:mtd><mml:mtd><mml:mstyle displaystyle="true" class="stylechange"/></mml:mtd><mml:mtd><mml:mrow><mml:mstyle displaystyle="true" class="stylechange"/><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>H</mml:mi><mml:mo>=</mml:mo><mml:msub><mml:mi>H</mml:mi><mml:mtext>T</mml:mtext></mml:msub><mml:mo>-</mml:mo><mml:msub><mml:mi>H</mml:mi><mml:mtext>SL</mml:mtext></mml:msub><mml:mo>,</mml:mo></mml:mrow></mml:mtd></mml:mlabeledtr><mml:mlabeledtr id="Ch1.E3"><mml:mtd><mml:mtext>3</mml:mtext></mml:mtd><mml:mtd><mml:mstyle class="stylechange" displaystyle="true"/></mml:mtd><mml:mtd><mml:mrow><mml:mstyle class="stylechange" displaystyle="true"/><mml:mi>u</mml:mi><mml:mo>=</mml:mo><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:msub><mml:mi>H</mml:mi><mml:mtext>T</mml:mtext></mml:msub><mml:mo>-</mml:mo><mml:msub><mml:mi>H</mml:mi><mml:mtext>SL</mml:mtext></mml:msub></mml:mrow><mml:mi>T</mml:mi></mml:mfrac></mml:mstyle><mml:mo>,</mml:mo></mml:mrow></mml:mtd></mml:mlabeledtr></mml:mtable></mml:math></disp-formula>

            where <inline-formula><mml:math id="M318" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>H</mml:mi></mml:mrow></mml:math></inline-formula>is the relative sea level, <inline-formula><mml:math id="M319" display="inline"><mml:mrow><mml:msub><mml:mi>H</mml:mi><mml:mtext>SL</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> is the sea-level altitude of the interglacial maximum, <inline-formula><mml:math id="M320" display="inline"><mml:mrow><mml:msub><mml:mi>H</mml:mi><mml:mtext>T</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> is the shoreline-angle elevation of the marine terrace, and <inline-formula><mml:math id="M321" display="inline"><mml:mi>T</mml:mi></mml:math></inline-formula> is its associated age (Lajoie, 1986).</p>
      <p id="d1e4890">We calculated the standard error SE<inline-formula><mml:math id="M322" display="inline"><mml:mrow><mml:mo>(</mml:mo><mml:mi>u</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> using Eq. (4) from Gallen et al. (2014):

                <disp-formula id="Ch1.E4" content-type="numbered"><label>4</label><mml:math id="M323" display="block"><mml:mrow><mml:mstyle displaystyle="true" class="stylechange"/><mml:mtext>SE</mml:mtext><mml:mo>(</mml:mo><mml:mi>u</mml:mi><mml:msup><mml:mo>)</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:msup><mml:mo>=</mml:mo><mml:msup><mml:mi>u</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup><mml:mfenced close=")" open="("><mml:mrow><mml:mfenced open="(" close=")"><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:msubsup><mml:mi mathvariant="italic">σ</mml:mi><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>H</mml:mi></mml:mrow><mml:mn mathvariant="normal">2</mml:mn></mml:msubsup></mml:mrow><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:msup><mml:mi>H</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:mrow></mml:mfrac></mml:mstyle></mml:mfenced><mml:mo>+</mml:mo><mml:mfenced open="(" close=")"><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:msubsup><mml:mi mathvariant="italic">σ</mml:mi><mml:mtext>T</mml:mtext><mml:mn mathvariant="normal">2</mml:mn></mml:msubsup></mml:mrow><mml:mrow><mml:msup><mml:mi>T</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:mrow></mml:mfrac></mml:mstyle></mml:mfenced></mml:mrow></mml:mfenced><mml:mo>,</mml:mo></mml:mrow></mml:math></disp-formula>

          where <inline-formula><mml:math id="M324" display="inline"><mml:mrow><mml:msubsup><mml:mi mathvariant="italic">σ</mml:mi><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>H</mml:mi></mml:mrow><mml:mn mathvariant="normal">2</mml:mn></mml:msubsup></mml:mrow></mml:math></inline-formula>, the error in relative sea level, equals
<inline-formula><mml:math id="M325" display="inline"><mml:mrow><mml:mo>(</mml:mo><mml:msubsup><mml:mi mathvariant="italic">σ</mml:mi><mml:mrow><mml:msub><mml:mi>H</mml:mi><mml:mtext>T</mml:mtext></mml:msub></mml:mrow><mml:mn mathvariant="normal">2</mml:mn></mml:msubsup><mml:mo>+</mml:mo><mml:msubsup><mml:mi mathvariant="italic">σ</mml:mi><mml:mrow><mml:msub><mml:mi>H</mml:mi><mml:mtext>SL</mml:mtext></mml:msub></mml:mrow><mml:mn mathvariant="normal">2</mml:mn></mml:msubsup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>. The standard-error estimates
comprise the uncertainty in shoreline-angle elevations from TerraceM
<inline-formula><mml:math id="M326" display="inline"><mml:mrow><mml:mo>(</mml:mo><mml:msub><mml:mi mathvariant="italic">σ</mml:mi><mml:mrow><mml:msub><mml:mi>H</mml:mi><mml:mtext>T</mml:mtext></mml:msub></mml:mrow></mml:msub><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>, error estimates in absolute sea level <inline-formula><mml:math id="M327" display="inline"><mml:mrow><mml:mo>(</mml:mo><mml:msub><mml:mi mathvariant="italic">σ</mml:mi><mml:mrow><mml:msub><mml:mi>H</mml:mi><mml:mtext>SL</mml:mtext></mml:msub></mml:mrow></mml:msub><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> from Rohling et al. (2009), and an arbitrary range of 10 kyr for the duration of the highstand <inline-formula><mml:math id="M328" display="inline"><mml:mrow><mml:mo>(</mml:mo><mml:msub><mml:mi mathvariant="italic">σ</mml:mi><mml:mtext>T</mml:mtext></mml:msub><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>.</p>
      <p id="d1e5079">Vertical displacement rates and relative sea level are influenced by
flexural rebound associated with loading and unloading of ice sheets during
glacio-isostatic adjustments (GIAs) (Stewart et al., 2000; Shepherd and
Wingham, 2007). The amplitude and wavelength of GIAs is mostly determined by
the flexural rigidity of the lithosphere (Turcotte and Schubert, 1982) and
should therefore not severely influence vertical deformation along
non-glaciated coastal regions (Rabassa and Clapperton, 1990) that are
located in the forearc of active subduction zones. This is supported by
Creveling et al. (2017) who showed no significant GIA along the WSAC between
1<inline-formula><mml:math id="M329" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N and 40<inline-formula><mml:math id="M330" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S since MIS 5a. Current GIA models use an
oversimplified lithospheric structure defined by horizontal layers of
homogeneous rheology (e.g., Creveling et al., 2017), which might be
appropriate for cratons and ocean basins but not necessarily for the
forearcs of subduction margins. Therefore, we did not account for the GIA
effect on terrace elevations and uplift rates.</p>
</sec>
<sec id="Ch1.S3.SS3">
  <label>3.3</label><title>Tectonic parameters of the South American convergent margin</title>
      <p id="d1e5108">We compared the deformation patterns of marine terraces along the coast of
South America with proxies that included crustal faults, bathymetric
anomalies, trench-sediment thickness, and distance to the trench. To
evaluate the possible control of climatic parameters in the morphology of
marine terraces, we compared our data set with wave heights, tidal range,
mean annual precipitation rate, and the azimuth of the coastline (Schweller
et al., 1981; Bangs and Cande, 1997; von Huene et al., 1997; Collot et al.,
2002; Ceccherini et al., 2015; Hayes et al., 2018; Santibáñez et
al., 2019; GEBCO Bathymetric Compilation Group, 2020) (Fig. 1).</p>
      <p id="d1e5111">To evaluate the potential correlations between tectonic parameters and
marine terraces, we analyzed the latitudinal variability of these parameters
projected along a curved “simple profile” and a 300 km wide “swath
profile” following the trace of the trench. We used simple profiles for
visualizing 2D data sets; for instance, to compare crustal faults along the
forearc area of the margin (Veloza et al., 2012; Maldonado et al., 2021), we
projected the seaward tip of each fault. For the trench-sediment thickness,
we projected discrete thickness estimates based on measurements from seismic
reflection profiles of Bangs and Cande (1997), Collot et al. (2002), Huene
et al. (1996), and Schweller et al. (1981). Finally, we projected the
discrete trench distances from the point locations of our marine terrace
measurements along a simple profile. To compare bathymetric features on the
oceanic plate, we used a compilation of bathymetric measurements at 450 m
resolution (GEBCO Bathymetric Compilation Group, 2020). The data set was
projected along a curved, 300 km wide swath profile using TopoToolbox
(Schwanghart and Kuhn, 2010).</p>
      <p id="d1e5114">Finally, to elucidate the influence of climatic factors on marine terrace
morphology, we compared the elevation but<?pagebreak page2499?> also the number of measurements
as a proxy for the preservation and exposure of marine terraces. We calculated
wave heights, tidal ranges, and reference water levels at the point
locations of our marine terrace measurements using the indicative meaning
calculator (IMCalc) from Lorscheid and Rovere (2019). We used the maximum
values of the hourly significant wave height, and for the tidal range we
calculated the difference between the highest and lowest astronomical tide.
The reference water level represents the averaged position of the paleo sea
level with respect to the shoreline-angle elevation and, together with the
indicative range (uncertainty), quantifies the indicative meaning (Lorscheid
and Rovere, 2019). We furthermore used the high-resolution data set of
Ceccherini et al. (2015) for mean annual precipitation, and we compared the
azimuth of the coast in order to evaluate its exposure to wind and waves. To
facilitate these comparisons, we extracted the values of all these
parameters at the point locations of our marine terrace measurements and
projected them along a simple profile. Calculations and outputs were
processed and elaborated using MATLAB<sup>®</sup> (2020b).</p>
</sec>
</sec>
<sec id="Ch1.S4">
  <label>4</label><title>Results</title>
<sec id="Ch1.S4.SS1">
  <label>4.1</label><title>Marine terrace geomorphology and shoreline-angle elevations</title>
      <p id="d1e5136">In the following sections we describe our synthesized database of last
interglacial marine terrace elevations along the WSAC. Marine terraces of
the last interglacial are generally well preserved and almost continuously
exposed along the WSAC, allowing the estimation of elevations with a high
spatial density. To facilitate the descriptions of marine terrace-elevation
patterns, we divided the coastline into four sectors based on their main
geomorphic characteristics (Fig. 5): (1) the Talara bend in northern Peru and
Ecuador, (2) southern and central Peru, (3) northern Chile, and (4) central and
south-central Chile. In total we carried out 1843 MIS 5e terrace
measurements with a median elevation of 30.1 m a.s.l. and 110 MIS 5c terrace
measurements with a median of 38.6 m. The regions with exceptionally high
marine terrace elevations (<inline-formula><mml:math id="M331" display="inline"><mml:mo lspace="0mm">≥</mml:mo></mml:math></inline-formula> 100 m) comprise the Manta Peninsula in
Ecuador, the San Juan de Marcona area in south-central Peru, and three
regions in south-central Chile (Topocalma, Carranza, and Arauco). Marine
terraces at high altitudes (<inline-formula><mml:math id="M332" display="inline"><mml:mo lspace="0mm">≥</mml:mo></mml:math></inline-formula> 60 m) can also be found in Chile on the
Mejillones Peninsula, south of Los Vilos, near Valparaíso, in Tirúa,
and near Valdivia, while terrace levels only slightly above the median
elevation are located at Punta Galera in Ecuador, south of Puerto Flamenco,
at Caldera and Bahía Inglesa, near Caleta Chañaral, and near the
Quebrada El Moray in the Altos de Talinay area in Chile. In the following
sections we describe the characteristics of each site in detail; the names
of the sites are written in brackets following the same nomenclature as in
the WALIS database (i.e., Pe – Peru, Ec – Ecuador, Ch – Chile).<?xmltex \hack{\newpage}?></p>

      <?xmltex \floatpos{p}?><fig id="Ch1.F5" specific-use="star"><?xmltex \currentcnt{5}?><?xmltex \def\figurename{Figure}?><label>Figure 5</label><caption><p id="d1e5156">Shoreline-angle elevation measurements (colored points),
referencing points (black stars), Quaternary faults (bold black lines)
(Veloza et al., 2012; Maldonado et al., 2021), and locations mentioned in the
text for the four main geomorphic segments (for location see Fig. 1a) (World
Ocean Basemap: Esri, Garmin, GEBCO, NOAA NGDC, and other contributors). Site
names referring to the entries in the WALIS database are on the left margin
of each panel (Pe – Peru, Ec – Ecuador, Ch – Chile). <bold>(a)</bold> Talara bend
in Ecuador and northern Peru. <bold>(b)</bold> Central and southern Peru. <bold>(c)</bold> Northern
Chile. <bold>(d)</bold> Central and south-central Chile.</p></caption>
          <?xmltex \igopts{width=497.923228pt}?><graphic xlink:href="https://essd.copernicus.org/articles/13/2487/2021/essd-13-2487-2021-f05.png"/>

        </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F6" specific-use="star"><?xmltex \currentcnt{6}?><?xmltex \def\figurename{Figure}?><label>Figure 6</label><caption><p id="d1e5179">Measured shoreline-angle elevations of MIS 5e and 5c in Ecuador
(Ec) and northern Peru (Pe). A high and inferred long-wavelength change in
terrace elevation occurs at the Manta Peninsula (gray area) and at low
elevations farther south at the Santa Elena Peninsula. Several
terrace-elevation changes over short distances coincide with faulting at
Punta Galera and on the Illescas Peninsula. Median elevation: 30.1 m. For
location see Fig. 5a.</p></caption>
          <?xmltex \igopts{width=497.923228pt}?><graphic xlink:href="https://essd.copernicus.org/articles/13/2487/2021/essd-13-2487-2021-f06.png"/>

        </fig>

<sec id="Ch1.S4.SS1.SSS1">
  <label>4.1.1</label><?xmltex \opttitle{Ecuador and northern Peru (1{${}^{{\circ}}$}\,N--6.5{${}^{{\circ}}$}\,S)}?><title>Ecuador and northern Peru (1<inline-formula><mml:math id="M333" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N–6.5<inline-formula><mml:math id="M334" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S)</title>
      <p id="d1e5215">The MIS 5e terrace levels in Ecuador and northern Peru (sites Ec1 to Ec4 and
Pe1) are discontinuously preserved along the coast (Fig. 6). They often
occur at low elevations (between 12 and 30 m) and show abrupt local
changes in elevation, reaching a maximum at the Manta Peninsula. Punta
Galera in northern Ecuador displays relatively broad and well-preserved
marine terraces ranging between 40 and 45 m elevation that rapidly decrease
eastward to about 30 m a.s.l. across the Cumilínche fault (Ec1). Farther
south, between Pedernales and Canoa (Ec1), narrow terraces occur at lower
altitudes of 22–34 m a.s.l. A long-wavelength (<inline-formula><mml:math id="M335" display="inline"><mml:mo lspace="0mm">∼</mml:mo></mml:math></inline-formula> 120 km)
pattern in terrace-elevation change can be observed across the Manta
Peninsula with the highest MIS 5e terraces peaking at <inline-formula><mml:math id="M336" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 100 m a.s.l. at its southern coast (Ec2). This terrace level is hardly visible in its
highest areas with platform widths smaller than 100 m due to deeply incised
and narrowly spaced river valleys. We observe lower and variable elevations
between 30 and 50 m across the Rio Salado fault in the San Mateo paleo-gulf
in the north, while the terrace elevations increase gradually from
<inline-formula><mml:math id="M337" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 40 m in the Pile paleo-gulf in the south (Ec3) toward the
center of the peninsula (El Aromo dome) and the Montecristi fault (Ec3). A
lower terrace level correlated to MIS 5c displays similar elevation patterns
as MIS 5e within the Pile paleo-gulf and areas to the north. Near the Gulf
of Guayaquil and the Dolores–Guayaquil megashear, the lowest terrace
elevations occur at the Santa Elena Peninsula ranging between 17 and 24 m a.s.l., even lower altitudes in its southern part, and between 11 and 16 m a.s.l. on the Puna Island (Ec4). In northern Peru (Pe1), we observe
dismembered MIS 5e terraces in the coastal area between Cancas and Talara
below the prominent Mancora Tablazo. “Tablazo” is a local descriptive name
used in northern Peru (<inline-formula><mml:math id="M338" display="inline"><mml:mo lspace="0mm">∼</mml:mo></mml:math></inline-formula> 3.5–6.5<inline-formula><mml:math id="M339" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S) for marine
terraces that cover a particularly wide surface area (Pedoja et al., 2006b).
South of Cancas, MIS 5e terrace elevations range between 17 and 20 m a.s.l.,
reaching 32 m near Organos, and vary between 20 and 29 m in the vicinity of
Talara. In the southward continuation of the Talara harbor, the Talara
Tablazo widens, with a lower marine terrace at about 23 m a.s.l. immediately
north of Paita Peninsula reaching 30 m a.s.l. in the northern part of the
peninsula. The last occurrence of well-preserved MIS 5e terraces in this
sector exists at the Illescas Peninsula, where terrace elevations decrease
from around 30 to 17 m a.s.l. southward.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F7" specific-use="star"><?xmltex \currentcnt{7}?><?xmltex \def\figurename{Figure}?><label>Figure 7</label><caption><p id="d1e5257">Measured shoreline-angle elevations of MIS 5e and 5c terraces in
central and southern Peru (Pe). While only sparsely preserved terraces below
the median (30.1 m) occur in central Peru between Chiclayo and Lima, a
relatively broad and asymmetric distribution of marine terraces
characterizes the area of San Juan de Marcona. For location see Fig. 5b.</p></caption>
            <?xmltex \igopts{width=497.923228pt}?><graphic xlink:href="https://essd.copernicus.org/articles/13/2487/2021/essd-13-2487-2021-f07.png"/>

          </fig>

</sec>
<sec id="Ch1.S4.SS1.SSS2">
  <label>4.1.2</label><?xmltex \opttitle{Central and southern Peru (6.5--18.3{${}^{{\circ}}$}\,S)}?><title>Central and southern Peru (6.5–18.3<inline-formula><mml:math id="M340" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S)</title>
      <?pagebreak page2501?><p id="d1e5284">This segment comprises marine terraces at relatively low and constant
elevations but which are rather discontinuous (sites Pe2 to Pe10), except
in the San Juan de Marcona area where the terraces increase in elevation
drastically (Fig. 7). The coast in north-central Peru exhibits poor records
of MIS 5e marine terraces characterized by mostly narrow and discontinuous
remnants that are sparsely distributed along the margin with limited age
constraints. Marine terraces increase in elevation from 11 to 35 m a.s.l. south
of Chiclayo (Pe2) and decrease to 17 m a.s.l. near Cercado de Lima (Pe3, Pe4),
forming a long-wavelength (<inline-formula><mml:math id="M341" display="inline"><mml:mo lspace="0mm">∼</mml:mo></mml:math></inline-formula> 600 km), small amplitude
(<inline-formula><mml:math id="M342" display="inline"><mml:mo lspace="0mm">∼</mml:mo></mml:math></inline-formula> 20 m) upwarped structure. The MIS 5e terrace levels are
better expressed in the south-central and southern part of Peru at
elevations between 35 and 47 m a.s.l. in San Vicente de Cañete, decreasing
to approximately 30 m a.s.l. in the vicinity of Pisco (Pe5). South of Pisco,
the coastal area becomes narrow with terrace elevations ranging between 25
and 34 m a.s.l. (Pe6) and increasing abruptly to 74–79 m near Puerto Caballas
and the Río Grande delta. MIS 5e terrace elevations are highest within
the San Juan de Marcona area, reaching 93–109 m at Cerro Huevo and 56–87 m
at Cerro Trés Hermanas (Pe7). These higher terrace elevations coincide
with a wider coastal area, a better-preserved terrace sequence, and several
crustal faults, such as the San Juan and El Huevo faults.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F8" specific-use="star"><?xmltex \currentcnt{8}?><?xmltex \def\figurename{Figure}?><label>Figure 8</label><caption><p id="d1e5303">Measured shoreline-angle elevations of MIS 5e and 5c terraces in
northern Chile (Ch). Faults and asymmetrically uplifted marine terraces of
up to 60 m elevation characterize the Mejillones Peninsula, reaching values
below 20 m at the southern margin. Terrace elevations attain peak values
south of Puerto Flamenco, at Caldera and Bahía Inglesa, and north of Caleta
Chañaral, while in between minimum elevations below 20 m prevail (north
of Carrizal Bajo). Median elevation: 30.1 m. For location see Fig. 5c.</p></caption>
            <?xmltex \igopts{width=497.923228pt}?><graphic xlink:href="https://essd.copernicus.org/articles/13/2487/2021/essd-13-2487-2021-f08.png"/>

          </fig>

      <p id="d1e5312">Terrace heights west of Yauca indicate a further decrease to 50–58 m before
a renewed increase to 70–72 m can be observed in the Chala embayment (Pe8).
We observe a similar trend in elevation changes for the shoreline angles
attributed to the MIS 5c interglacial within the previously described
high-elevation area: 31–39 m near the Río Grande delta, 58–62 m below
the Cerro Huevo peak, 27–64 m below the Cerro Trés Hermanas peak (Pe7),
36–40 m near Yauca, and 34–40 m within the Chala embayment (Pe8). Besides
various changes in between, terrace elevations decrease slowly from 54 m
south of the Chala region to 38 m near Atico (Pe8). The overall decrease
south of the San Juan de Marcona area therefore contrasts strikingly with
the sharper decrease to the north. These high-elevation marine terraces,
which extend <inline-formula><mml:math id="M343" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 250 km along the coast from north of the San
Juan de Marcona area to south of Chala Bay, constitute one of the longest
wavelength structures of the WSAC. SE of Atico, less well-preserved
marine terraces appear again in the form of small remnants in a narrower coastal
area. Starting with elevations as low as 24 m, MIS 5e terrace altitudes
increase southeastward to up to 40 m near Mollendo (Pe9) before they
slightly decrease again. The broader and quite well-preserved terraces of
the adjacent Ilo area resulted in a smooth increase from values greater than
25 to 33 m and a sudden decrease to as low as 22 m across the Chololo
fault (Pe9). North of the Arica bend, shoreline-angle measurements yielded
estimates of 24–29 m in altitude (Pe10).</p>
</sec>
<?pagebreak page2502?><sec id="Ch1.S4.SS1.SSS3">
  <label>4.1.3</label><?xmltex \opttitle{Northern Chile (18.3--29.3{${}^{{\circ}}$}\,S)}?><title>Northern Chile (18.3–29.3<inline-formula><mml:math id="M344" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S)</title>
      <p id="d1e5340">Along the northern Chilean coast, marine terraces of the MIS 5e are
characterized by a variable elevation pattern and the occurrence of numerous
crustal faults associated with the Atacama fault system, although the
changes in terrace elevation are not as pronounced as in the northern
segments (Fig. 8) (sites Ch1 to Ch7). The local widening of the coastal area
near the Arica bend narrows southward with MIS 5e terraces at elevations of
between 24 and 28 m a.s.l. in northernmost Chile (Ch1). Just north of Pisagua,
we measured shoreline-angle elevations of well-preserved marine terraces
between 19 and 26 m across the Atajana fault (Ch1). An areally limited
zigzag pattern starting with shoreline-angle elevation values of 32 m south
of Iquique and south of the Zofri and Cavancha faults decreases rapidly to
approximately 22 m but increases again to similar altitudes and drops as
low as 18 m toward Chanabaya south of the Barranco Alto fault (Ch1). A
gentle, steady rise in terrace elevations can be observed south of Tocopilla
where altitudes of 25 m are attained. South of Gatico, terrace markers of
the MIS 5e highstand increase and continue northward for much of the
Mejillones Peninsula within an approximate elevation range of 32–50 m a.s.l.
before reaching a maximum of 62 m a.s.l. at the Pampa de Mejillones (Ch2). With
its <inline-formula><mml:math id="M345" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 100 km latitudinal extent, we consider this
terrace-elevation change to be a medium-wavelength structure. Although no
MIS 5e terrace levels have been preserved at the Morro Mejillones Horst
(Binnie et al., 2016), we measured shoreline-angle elevations at the
elevated SW part of the peninsula that decrease sharply from 55 to
17 m a.s.l. in the vicinity of the Mejillones fault system (Ch2). After a short
interruption of the MIS 5e terrace level at Pampa Aeropuerto, elevations
remain relatively low between 19 and 25 m farther south (Ch2). Along the
<inline-formula><mml:math id="M346" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 300 km coastal stretch south of Mejillones, marine terraces
are scattered along the narrow coastal area ranging between 25 and 37 m a.s.l.
(Ch3). South of Puerto Flamenco, MIS 5e terrace elevations range between 40
and 45 m a.s.l. until Caldera and Bahía Inglesa (Ch4). The MIS 5e marine
terrace elevations decrease abruptly south of the Caldera fault and the
Morro Copiapó (Morro Copiapó fault) to between 25 and 33 m a.s.l.,
reaching 20 m a.s.l. north of Carrizal Bajo (Ch4). In the southernmost part of the northern Chilean sector, the MIS 5e terraces rise from around 30 m a.s.l. to a maximum of 45 m a.s.l. near the Cabo Leones fault (Ch4) before decreasing in elevation abruptly near Caleta Chañaral and Punta Choros (Ch5, Ch6,
Ch7).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F9" specific-use="star"><?xmltex \currentcnt{9}?><?xmltex \def\figurename{Figure}?><label>Figure 9</label><caption><p id="d1e5359">Measured shoreline-angle elevations of MIS 5e and 5c terraces in
central Chile (Ch). Extensive faulting coincides with various high terrace
elevations of the last interglacial highstand north of Los Vilos, near
Valparaíso, at Topocalma, Carranza, and near Valdivia. The most pronounced long-wavelength change in terrace elevation occurs on the Arauco
Peninsula with maximum elevations over 200 m and minimum elevations below 10 m north of Concepción. Qd. – Quebrada. Median elevation: 30.1 m. For
location see Fig. 5d.</p></caption>
            <?xmltex \igopts{width=497.923228pt}?><graphic xlink:href="https://essd.copernicus.org/articles/13/2487/2021/essd-13-2487-2021-f09.png"/>

          </fig>

</sec>
<sec id="Ch1.S4.SS1.SSS4">
  <label>4.1.4</label><?xmltex \opttitle{Central Chile (29.3--40{${}^{{\circ}}$}\,S)}?><title>Central Chile (29.3–40<inline-formula><mml:math id="M347" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S)</title>
      <p id="d1e5386">Marine terraces along central Chile display variable, high-amplitude
terrace-elevation patterns associated with numerous crustal faults and
include a broad-scale change in terrace altitudes with the highest MIS 5e
marine terrace elevations of the entire South American margin on the Arauco
Peninsula (Fig. 9) (sites Ch8 to Ch78). South of Punta Choros, marine
terrace elevations decrease from values close to 40 to 22 m a.s.l. north of
Punta Teatinos (Ch8, Ch9). A maximum elevation of 40 m is reached by the
terraces just south of this area (Ch10), whereas north of La Serena, a sharp
decrease leads to values between 20 and 30 m for marine terraces south of
Coquimbo Bay and in the Tongoy Bay area (Ch11, Ch12). South of Punta Lengua
de Vaca, our measurements of the exceptionally well-preserved staircase
morphology of the terraces are within the same elevation range between 20
and 30 m, increasing slowly to 40 m near the Quebrada el Moray (Ch13).
Although we could not observe a significant change in terrace elevation
across the Puerto Aldea fault, we measured an offset of <inline-formula><mml:math id="M348" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 7 m
across the Quebrada Palo Cortado fault. MIS 5e terrace levels decrease
thereafter and vary between 20 and 30 m in altitude until north of Los Vilos
(Ch14–Ch18) where they increase in elevation (Ch19), reaching 60 m near
the Quilimari River (Ch20). The marine terraces become wider in this area and
are associated with scattered sea stacks. Decreasing farther south to only
20 m a.s.l. (Ch21–Ch25), the coastal area narrows and has terrace heights of
up to 64 m near Valparaíso in an area that is cut by numerous faults
(e.g., Valparaíso and Quintay faults) (Ch26–Ch32). Another
low-elevation area follows southward, with values as low as 17 m
(Ch33–Ch35). Farther south, between 34 and 38<inline-formula><mml:math id="M349" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S,
broad (<inline-formula><mml:math id="M350" display="inline"><mml:mo lspace="0mm">∼</mml:mo></mml:math></inline-formula> 200 km at Arauco), medium (<inline-formula><mml:math id="M351" display="inline"><mml:mo lspace="0mm">∼</mml:mo></mml:math></inline-formula> 45 km at
Topocalma), and narrow (Carranza) upwarped zones occur that are manifested
by variable terrace elevations. These include prominent high-terrace
elevations at Topocalma with a maximum of 180 m (Ch36–Ch39), slightly lower
levels of 110 m at Carranza (Ch42–Ch47), exceptionally low values near the
Itata River (<inline-formula><mml:math id="M352" display="inline"><mml:mo lspace="0mm">&lt;</mml:mo></mml:math></inline-formula> 10 m) (Ch48–Ch64, Ch66), and the most extensive
and highest shoreline-angle elevations on the Arauco Peninsula with
elevations in excess of 200 m (Ch67–Ch73). Additionally, we measured MIS 5c
terrace elevations in the three higher exposed areas with a range of 20–55 m at Carranza and a few locations at Topocalma (76–81 m) and Arauco
(117–123 m). The medium-wavelength structure of Topocalma is bounded by the
Pichilemu and Topocalma faults, and near Carranza several fault offsets
(e.g., Pelluhue and Carranza faults) are responsible for the
short-wavelength changes in terrace elevation. In contrast, crustal faulting
is nearly absent in the high-elevation and long-wavelength structure at
Arauco. MIS 5e terrace elevations are highly variable within a small area
south of the Arauco Peninsula near the Tirúa fault, increasing rapidly from
27 to 78 m and decreasing thereafter to<?pagebreak page2504?> approximately 20 m (Ch74, Ch75).
The continuity of terraces is interrupted by the absence of terrace levels
between Imperial River and Toltén River but resumes afterward
with a highly frequent zigzag pattern and multiple faults (e.g., Estero
Ralicura and Curinanco faults) from as low as 18 m to a maximum of 40 m
(Ch76, Ch77). In this area locations with the highest terrace levels
comprise the terraces near Mehuín and Calfuco. A final increase in
shoreline-angle elevations from about 20–30 m up to 76 m near Valdivia
coincides with the southern terminus of our terrace-elevation measurements
(Ch78).</p>
</sec>
</sec>
<sec id="Ch1.S4.SS2">
  <label>4.2</label><title>Statistical analysis</title>
      <p id="d1e5435">Our statistical analysis of mapped shoreline-angle elevations resulted in a
maximum kernel density at 28.96 m with a 95 % confidence interval from
18.59 to 67.85 m (2<inline-formula><mml:math id="M353" display="inline"><mml:mi mathvariant="italic">σ</mml:mi></mml:math></inline-formula>) for the MIS 5e terrace level (Fig. 10a). The
MIS 5c terrace yielded a maximum kernel density at a higher elevation of
37.20 m with 2<inline-formula><mml:math id="M354" display="inline"><mml:mi mathvariant="italic">σ</mml:mi></mml:math></inline-formula> ranging from 24.50 to 63.92 m. It is important to
note that the number of MIS 5c measurements is neither as high nor as
continuous compared to that of the MIS 5e level. MIS 5c data points were
measured almost exclusively at sites where MIS 5e reaches high elevations
(e.g., San Juan de Marcona with MIS 5e elevations between 40 and 110 m).<?xmltex \hack{\newpage}?></p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F10"><?xmltex \currentcnt{10}?><?xmltex \def\figurename{Figure}?><label>Figure 10</label><caption><p id="d1e5455">Statistical analysis of measured shoreline-angle elevations. <bold>(a)</bold> Kernel-density plot of MIS 5e and 5c terrace elevations with maximum likelihood probabilities (MLPs) at 28.96 m elevation for MIS 5e and 37.20 m elevation for MIS 5c (<inline-formula><mml:math id="M355" display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>: number of measurements). Colored bars on top highlight the standard deviations <inline-formula><mml:math id="M356" display="inline"><mml:mi mathvariant="italic">σ</mml:mi></mml:math></inline-formula> and 2<inline-formula><mml:math id="M357" display="inline"><mml:mi mathvariant="italic">σ</mml:mi></mml:math></inline-formula>. <bold>(b)</bold> Kernel densities and their associated standard-deviation (<inline-formula><mml:math id="M358" display="inline"><mml:mi mathvariant="italic">σ</mml:mi></mml:math></inline-formula> and 2<inline-formula><mml:math id="M359" display="inline"><mml:mi mathvariant="italic">σ</mml:mi></mml:math></inline-formula>) calculations of terrace-elevation errors for source DEMs of
various resolutions. The measurements on the most abundant DEM, the 12 m TanDEM-X, have an MLP error of
1.16 m, while the 30 m TanDEM-X and the 1–5 m lidar produce slightly lower errors of 0.91 and 0.93 m, respectively. <bold>(c)</bold> Terrace-elevation errors
plotted against terrace elevation for the individual source DEMs. Although the point density for
high terrace elevations is low, a weak correlation of high errors with high
terrace elevations can be observed.</p></caption>
          <?xmltex \igopts{width=213.395669pt}?><graphic xlink:href="https://essd.copernicus.org/articles/13/2487/2021/essd-13-2487-2021-f10.png"/>

        </fig>

      <p id="d1e5509">The distribution of measurement errors was studied using probability
kernel-density plots for each topographic resolution (1–5 m lidar, 12 m
TanDEM-X, and 30 m TanDEM-X). The three data sets display similar
distributions and maximum likelihood probabilities (MLPs); for instance,
lidar data show an MLP of 0.93 m, the 12 m TanDEM-X an MLP of 1.16 m, and 30 m
TanDEM-X an MLP of 0.91 m (Fig. 10b). We observe the lowest errors from the
30 m TanDEM-X, slightly higher errors from the 1–5 m lidar data, and the
highest errors from the 12 m TanDEM-X. This observation is counterintuitive
as we would expect lower errors for topographic data sets with higher
resolution (1–5 m lidar). The reason for these errors is probably related to
the higher number of measurements using the 12 m TanDEM-X (1564) in
comparison with the measurements using 30 m TanDEM-X (50), which result in a
higher dispersion and a more realistic representation of the measurement
errors (Fig. 10b). In addition, the relation between terrace elevations and
error estimates shows that comparatively higher errors are associated with
higher terrace elevations, although the sparse point density of high
terrace-elevation measurements prevents the recognition of a clear correlation
(Fig. 10c).</p>
</sec>
<?pagebreak page2505?><sec id="Ch1.S4.SS3">
  <label>4.3</label><title>Coastal uplift-rate estimates</title>
      <p id="d1e5520">We calculated uplift rates from 1953 terrace-elevation measurements of
MIS 5e (1843) and MIS 5c (110) along the WSAC with a median uplift rate of
approximately 0.22 m kyr<inline-formula><mml:math id="M360" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> (Fig. 11). As with the distribution of terrace
elevations, we similarly observed several small-scale and large-scale
high-amplitude changes in uplift rate along the coast. The most pronounced
long-wavelength highs (<inline-formula><mml:math id="M361" display="inline"><mml:mo lspace="0mm">≥</mml:mo></mml:math></inline-formula> 1<inline-formula><mml:math id="M362" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> latitude) in uplift rate are
located on the Manta Peninsula (0.79 m kyr<inline-formula><mml:math id="M363" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>), in the San Juan de Marcona area
(0.85 m kyr<inline-formula><mml:math id="M364" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>), and on the Arauco Peninsula (1.62 m kyr<inline-formula><mml:math id="M365" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>). Medium-wavelength
structures include the Mejillones Peninsula (0.47 m kyr<inline-formula><mml:math id="M366" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>) and Topocalma (1.43 m kyr<inline-formula><mml:math id="M367" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>), while shorter wavelength structures that are characterized by
exceptionally high uplift rates seem to be limited to the central Chilean
part of the coastline, especially between 31.5 and 40<inline-formula><mml:math id="M368" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S. The most striking example includes Carranza with an uplift rate of up to
0.87 m kyr<inline-formula><mml:math id="M369" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> since the formation of the oldest MIS 5 terrace levels. Lower, but still quite high, uplift rates were calculated for areas north of Los Vilos (0.46 m kyr<inline-formula><mml:math id="M370" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>), near Valparaíso (0.49 m kyr<inline-formula><mml:math id="M371" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>), and near Valdivia (0.59 m kyr<inline-formula><mml:math id="M372" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>). The lowest uplift rates along the South American margin occur at Penco immediately north of Concepción (0.03 m kyr<inline-formula><mml:math id="M373" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>), south of Chiclayo in
northern Peru (0.07 m kyr<inline-formula><mml:math id="M374" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>), and on the southern Santa Elena Peninsula in
Ecuador (0.07 m kyr<inline-formula><mml:math id="M375" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>).</p>
</sec>
</sec>
<sec id="Ch1.S5">
  <label>5</label><title>Discussion</title>
<sec id="Ch1.S5.SS1">
  <label>5.1</label><title>Advantages and limitations of the database of last interglacial marine terrace elevations along the WSAC</title>
      <p id="d1e5723">In this study we generated a systematic database of last interglacial marine
terrace elevations with unprecedented resolution based on an almost
continuous mapping of <inline-formula><mml:math id="M376" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 2000 measurements along 5000 km of
the WSAC. This opens up several possibilities for future applications in
which this database can be used; for example, marine terraces are excellent
strain markers that can be used in studies on deformation processes at
regional scale, and thus the synthesis allows for comparisons between
deformation rates at different temporal scales in different sectors of the
margin or analyses linking specific climate-driven and tectonic coastal
processes and landscape evolution. However, there are a number of
limitations and potential uncertainties that can limit the use of this
database in such studies without taking several caveats into consideration.</p>
      <p id="d1e5733">One of the most critical limitations of using the database is associated
with the referencing points used to tie our marine terrace measurements
which are in turn based on the results and chronological constraints
provided by previous studies. The referencing points are heterogeneously
distributed along the WSAC, resulting in some cases with distances of up to 600 km
to the nearest constrained point, such as in Central Peru, e.g., Pe2. This
may have a strong influence on the confidence in the measurement of the
marine terrace elevation at these sites. In addition, the geochronological
control of some of the referencing points may be based on dating methods
with pronounced uncertainties (e.g., amino acid racemization, electron spin
resonance, terrestrial cosmogenic radionuclides) which may result in
equivocal interpretations and chronologies of marine terrace levels. In
order to address these potential factors of uncertainty we defined a quality
rating (see Sect. 3.1) which allows us to classify our mapping results
based on their confidence and reliability. Therefore,<?pagebreak page2506?> by considering
measurements above a defined quality it is possible to increase the level of
confidence for future studies using this database; however, this might
result in a decrease in the number of measurements available for analysis
and comparison.</p>
</sec>
<sec id="Ch1.S5.SS2">
  <label>5.2</label><title>Tectonic and climatic controls on the elevation and morphology of marine terraces along the WSAC</title>
      <p id="d1e5744">In this section we provide a brief synthesis of our data set and its
implications for coastal processes and overall landscape evolution
influenced by a combination of tectonic and climatic forcing factors. This
synthesis emphasizes the significance of our comprehensive data set for a
variety of coastal research problems that were briefly introduced in Sect. 5.1. Our detailed measurements of marine terraces along the WSAC reveal
variable elevations and a heterogeneous distribution of uplift rates
associated with patterns of short, medium, and long wavelengths. In
addition, we observe different degrees of development of marine terraces
along the margin expressed in variable shoreline-angle densities. There are
several possible causes for this variability which we explore by comparing
terrace-elevation patterns with different climatic and tectonic parameters.</p>
<sec id="Ch1.S5.SS2.SSS1">
  <label>5.2.1</label><title>Tectonic controls on coastal uplift rates</title>
      <p id="d1e5754">The spatial distribution of the MIS 5 marine terrace elevations along the
convergent South American margin has revealed several high-amplitude and
long-wavelength changes with respect to tectonically controlled topography.
Long-wavelength patterns in terrace elevation (<inline-formula><mml:math id="M377" display="inline"><mml:mo lspace="0mm">∼</mml:mo></mml:math></inline-formula> 10<inline-formula><mml:math id="M378" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:math></inline-formula> km)
are observed at the Manta Peninsula in Ecuador, central Peru between
Chiclayo and Lima, San Juan de Marcona (Peru), and on the Arauco Peninsula
in Chile, while medium-wavelength structures occur at Mejillones Peninsula
and Topocalma (Chile). Instead, short-wavelength patterns in MIS 5 terrace
elevations are observed, for instance, near Los Vilos, Valparaíso, and
Carranza in Chile.</p>

      <?xmltex \floatpos{p}?><fig id="Ch1.F11" specific-use="star"><?xmltex \currentcnt{11}?><?xmltex \def\figurename{Figure}?><label>Figure 11</label><caption><p id="d1e5775">Terrace-elevation and uplift-rate estimates plotted in comparison
with various parameters (i.e., bathymetry, trench fill, trench distance,
wave height, tidal range, precipitation, and coastal azimuth) that might
influence the disparate characteristics of the marine terrace distribution
revealed by our data set. We projected these parameters, elevations, and
uplift rates with respect to a south–north-oriented polyline that represents the
trench. <bold>(a)</bold> Terrace-elevation measurements and the most important crustal faults
(Veloza et al., 2012; Maldonado et al., 2021). This shows the range of
altitudes in different regions along the coast and possible relationships
between terrace elevation and crustal faulting. The blue horizontal line
indicates the median elevation (30.1 m). <bold>(b)</bold> Coastal uplift rates and mean
bathymetry (GEBCO Bathymetric Compilation Group, 2020) of a 150 km swath
west of the trench. The blue horizontal line indicates the median uplift
rate (0.22 mm yr<inline-formula><mml:math id="M379" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>). <bold>(c)</bold> Sediment thickness of trench-fill deposits (red) (Bangs and Cande, 1997) and the distance of the trench from our terrace measurements (orange). Flat-slab segments of the subducting Nazca plate are
indicated for central Chile and Peru. <bold>(d)</bold> Maximum wave heights along the WSAC (light green) and the tidal range (dark green) between highest and
lowest astronomical tides (Lorscheid and Rovere, 2019). <bold>(e)</bold> Precipitation
(blue) along the WSAC (Ceccherini et al., 2015) and azimuthal orientation of
the coastline (cyan). <bold>(f)</bold> Histogram of terrace-elevation measurements along
the WSAC.</p></caption>
            <?xmltex \igopts{width=497.923228pt}?><graphic xlink:href="https://essd.copernicus.org/articles/13/2487/2021/essd-13-2487-2021-f11.png"/>

          </fig>

      <p id="d1e5815">The subduction of bathymetric anomalies has been shown to exert a
substantial influence on upper-plate deformation (Fryer and Smoot, 1985;
Taylor et al., 1987; Macharé and Ortlieb, 1992; Cloos and Shreve, 1996;
Gardner et al., 2013; Wang and Bilek, 2014; Ruh et al., 2016), resulting in
temporally and spatially variable fault activity, kinematics, and
deformation rates (Mann et al., 1998; Saillard et al., 2011; Morgan and
Bangs, 2017; Melnick et al., 2019). When comparing the uplift pattern of
MIS 5 marine terraces and the bathymetry of the oceanic plate, we observe
that the two long-wavelength structures in this area, on the Manta Peninsula
and at San Juan de Marcona, both coincide with the location of the
subducting Nazca and Carnegie ridges, respectively (Fig. 11a and b); this
was also previously observed by other authors (Macharé and Ortlieb,
1992; Gutscher et al., 1999; Pedoja et al., 2006a; Saillard et al., 2011).
In summary, long-wavelength structures in coastal areas of the upper plate
may be associated with deep-seated processes (Melosh and Raefsky, 1980;
Watts and Daly, 1981) possibly related to changes in the mechanical behavior
of the plate interface. In this context it is interesting that the high
uplift rates on the Arauco Peninsula do not correlate with bathymetric
anomalies, which may suggest a different deformation mechanism. The scarcity
of crustal faults described in the Arauco area rather suggests that shallow
structures associated with crustal bending and splay faults occasionally
breaching through the upper crust (Melnick et al., 2012; Jara-Muñoz et
al., 2015; Jara-Muñoz et al., 2017; Melnick et al., 2019) may cause
long-wavelength warping and uplift there (Fig. 11a).</p>
      <p id="d1e5819">In contrast, small-scale bathymetric anomalies correlate in part with the
presence of crustal faults perpendicular to the coastal margin near, for
instance, the Juan Fernandez, Taltal, and Copiapó ridges (Fig. 11b);
this results in short-wavelength structures and a more localized altitudinal
differentiation of uplifted terraces. This emphasizes also the importance of
last interglacial marine terraces as strain markers with respect to
currently active faults, which might be compared in the future with
short-term deformation estimates from GPS or the earthquake catalog. In
summary, short-wavelength structures in the coastal realms of western South
America may be associated with faults that root at shallow depths within the
continental crust (Jara-Muñoz et al., 2015, 2017;
Melnick et al., 2019).</p>
      <p id="d1e5822">The thickness of sediment in the trench is an additional controlling factor
on forearc architecture that may determine which areas of the continental
margin are subjected to subduction erosion or accretion (Hilde, 1983; Cloos
and Shreve, 1988; Menant et al., 2020). Our data show that the accretionary
part of the WSAC (south of the intersection with the Juan Fernandez Ridge at
32.9<inline-formula><mml:math id="M380" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S) displays faster median uplift rates of 0.26 m kyr<inline-formula><mml:math id="M381" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> than in
the rest of the WSAC (Fig. 11b and c). However, no clear correlation is
observed between trench fill, uplift rates, and the different structural
patterns in the erosive part of the margin. On the other hand, we observe
lower uplift rates for greater distances from the trench at the Arica bend,
in central Peru, and in the Gulf of Guayaquil, while higher uplift rates
occur in areas closer to the trench, such as near the Nazca and Carnegie
ridges and the Mejillones Peninsula.</p>
</sec>
<sec id="Ch1.S5.SS2.SSS2">
  <label>5.2.2</label><title>Climatic controls on the formation and preservation of last interglacial marine terraces</title>
      <?pagebreak page2508?><p id="d1e5854">The latitudinal climate differences that characterize the western margin of
South America may also control coastal morphology and the generation and
preservation of marine terraces (Martinod et al., 2016b). In order to
evaluate the influence of climate in the generation and/or degradation of
marine terraces, we compared the number of marine terrace measurements,
which is a proxy for the degree of marine terrace preservation, and
climatically controlled parameters such as wave height, tidal range,
coastline orientation, and the amount of precipitation.</p>
      <p id="d1e5857">The maximum wave height along the WSAC decreases northward from
<inline-formula><mml:math id="M382" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 8 to <inline-formula><mml:math id="M383" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 2 m (see Sect. 3.3, Fig. 11d). Similarly, the tidal range decreases
progressively northward from 2 to 1 m between Valdivia and San Juan de
Marcona, followed by a rapid increase to 4 m between San Juan de Marcona and
the Manta Peninsula. We observe an apparent correlation between the number
of measurements and the tidal range in the north, between Illescas and Manta
(Fig. 11f). Likewise, the increasing trend in the number of measurements
southward matches with the increase in wave height (Fig. 11d). An increase
in wave height and tidal range may lead to enhanced erosion and
morphologically well-expressed marine terraces (Anderson et al., 1999;
Trenhaile, 2002), which is consequently reflected in a higher number of
measurements that can be carried out. Furthermore, we observe low values for
the reference water level (<inline-formula><mml:math id="M384" display="inline"><mml:mo lspace="0mm">&lt;</mml:mo></mml:math></inline-formula> 0.7 m) resulting from tide and
wave-height estimations in IMCalc (Lorscheid and Rovere, 2019), which are
used to correct our shoreline-angle measurements in the WALIS database (see
Sect. 3.3).</p>
      <p id="d1e5881">The control of wave-erosion processes on the morphological expression of
marine terraces may be counteracted by erosional processes such as river
incision. We note that the high number of preserved marine terraces between
Mejillones and Valparaíso decreases southward, which coincides with a
sharp increase in mean annual precipitation from 10 to 1000 mm yr<inline-formula><mml:math id="M385" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> (Fig. 11e and f) and fluvial dissection. However, in the area with a high number of
measurements between the Illescas Peninsula and Manta we observe an opposite
correlation: higher rainfall associated with an increase in marine terrace
preservation (Fig. 11e). This suggests that the interplay between marine
terrace generation and degradation processes apparently buffer each other
resulting in different responses under different climatic conditions and
coastal settings.</p>
      <p id="d1e5896">The greater number of marine terraces between Mejillones and Valparaíso
and north of Illescas corresponds with a SSW–NNE orientation of the
coastline (azimuth between 200 and 220<inline-formula><mml:math id="M386" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>). In contrast, NW–SE- to
north–south-oriented coastlines (azimuth between 125 and 180<inline-formula><mml:math id="M387" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>), such as
between the Arica and Huancabamba bends, correlate with a lower number of
marine terrace measurements (Fig. 11e and f). This observation appears,
however, implausible considering that NW–SE-oriented coastlines may be
exposed more directly to the erosive effect of storm waves associated with
winds approaching from the south. We interpret the orientation of the
coastline therefore to be of secondary importance at regional scale for the
formation of marine terraces compared to other parameters, such as wave
height, tidal range, or rainfall.</p>
</sec>
</sec>
</sec>
<sec id="Ch1.S6" sec-type="conclusions">
  <label>6</label><title>Conclusions</title>
      <p id="d1e5927">We measured 1953 shoreline-angle elevations as proxies for paleo sea levels
of the MIS 5e and 5c terraces along <inline-formula><mml:math id="M388" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 5000 km of the WSAC
between Ecuador and southern Chile. Our measurements are based on a
systematic methodology, and the resulting data have been standardized within
the framework of the WALIS database. Our mapping was tied using referencing
points based on previously published terrace-elevation estimates and age
constraints that are summarized in the compilation of Pedoja et al. (2011).
The limitations of this database are associated with the temporal accuracy
and spatial distribution of the referencing points, which we attempt to
consider by providing a quality-rating value to each measurement. The marine
terrace elevations display a median value of 30.1 m for the MIS 5e level and
a median uplift rate of 0.22 m kyr<inline-formula><mml:math id="M389" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> for MIS 5e and 5c. The lowest terrace
elevations and uplift rates along the entire WSAC occur immediately north of
Concepción in Chile (6 m, 0.03 m kyr<inline-formula><mml:math id="M390" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>), south of Chiclayo in northern Peru, and on the Santa Elena Peninsula in Ecuador (both 12 m, 0.07 m kyr<inline-formula><mml:math id="M391" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>).
The regions with exceptionally high marine terrace elevations (<inline-formula><mml:math id="M392" display="inline"><mml:mo lspace="0mm">≥</mml:mo></mml:math></inline-formula> 100 m)
comprise the Manta Peninsula in Ecuador, the San Juan de Marcona area in
south-central Peru, and three regions in south-central Chile (Topocalma,
Carranza, and Arauco).</p>
      <p id="d1e5980">The pattern of terrace elevations displays short-, medium-, and
long-wavelength structures controlled by a combination of various
mechanisms. Long-wavelength structures may be controlled by deep-seated
processes at the plate interface, such as the subduction of major
bathymetric anomalies (e.g., Manta Peninsula and San Juan de Marcona region).
In contrast, short- and medium-wavelength deformation patterns may be
controlled by crustal faults rooted within the upper plate (e.g., between
Mejillones and Valparaíso).</p>
      <p id="d1e5983">Latitudinal climate characteristics along the WSAC may influence the
generation and preservation of marine terraces. An increase in wave height
and tidal range generally results in enhanced erosion and morphologically
well-expressed, sharply defined marine terraces, which correlates with the
southward increase in the number of our marine terrace measurements.
Conversely, river incision and lateral scouring in areas with high
precipitation may degrade marine terraces, thus decreasing the number of
potential marine terrace measurements, such as observed south of
Valparaíso.</p>
</sec>
<sec id="Ch1.S7">
  <label>7</label><title>Data availability</title>
      <?pagebreak page2509?><p id="d1e5994">The South American database of last interglacial shoreline-angle elevations is available online at <ext-link xlink:href="https://doi.org/10.5281/zenodo.4309748" ext-link-type="DOI">10.5281/zenodo.4309748</ext-link>
(Freisleben et al., 2020). The description of the WALIS-database fields can
be found at <ext-link xlink:href="https://doi.org/10.5281/zenodo.3961543" ext-link-type="DOI">10.5281/zenodo.3961543</ext-link> (Rovere et al., 2020).<?xmltex \hack{\newpage}?></p>
</sec>

      
      </body>
    <back><notes notes-type="authorcontribution"><title>Author contributions</title>

      <p id="d1e6008">The main compilers of the database were RF, JMM, and JJM. The paper was written by RF with significant input from JJ, DM, and MRS regarding
interpretation and further improvements of graphical data representation.</p>
  </notes><notes notes-type="sistatement"><title>Special issue statement</title>

      <p id="d1e6014">This article is part of the special issue “WALIS – the World Atlas of Last Interglacial Shorelines”. It is not associated with a conference.</p>
  </notes><ack><title>Acknowledgements</title><p id="d1e6020">We thank Alessio Rovere for his assistance with the WALIS database. The
WALIS database was developed under the auspices of the ERC starting grant “Warmcoasts”
(ERC-StG-802414) and PALSEA. PALSEA is a working group of the International
Union for Quaternary Sciences (INQUA) and Past Global Changes (PAGES), which
in turn received support from the Swiss Academy of Sciences and the Chinese
Academy of Sciences. This work is a contribution to the International Geoscience Programme (IGCP) project 639. The structure of the database was designed by Alessio Rovere, Dierdre Ryan, Thomas Lorscheid, Andrea Dutton, Peter Chutcharavan, Dominik Brill, Nathan Jankowski, Daniela Mueller, Melanie Bartz, Evan Gowan, and Kim Cohen. This study was
supported by the Millennium Scientific Initiative of the Chilean government
through grant NC160025 “Millennium Nucleus CYCLO the Seismic Cycle Along
Subduction Zones”, Chilean National Fund for Development of Science and
Technology (FONDECYT) grants 1181479 and 1190258, and the ANID PIA Anillo
ACT192169. Roland Freisleben was supported by a research grant of Deutsche
Forschungsgemeinschaft to Manfred R. Strecker (DFG STR373/41-1). Constructive reviews by Vincent Regard and Paula Marques Figueiredo helped to improve the paper.</p></ack><notes notes-type="financialsupport"><title>Financial support</title>

      <p id="d1e6025">This research has been supported by the Deutsche Forschungsgemeinschaft (grant no. STR373/41-1).</p>
  </notes><notes notes-type="reviewstatement"><title>Review statement</title>

      <p id="d1e6031">This paper was edited by Alexander Simms and reviewed by Vincent Regard and Paula Marques Figueiredo.</p>
  </notes><ref-list>
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    <!--<article-title-html>Marine terraces of the last interglacial period along the Pacific coast of South America (1°&thinsp;N–40°&thinsp;S)</article-title-html>
<abstract-html><p>Tectonically active coasts are dynamic environments characterized
by the presence of multiple marine terraces formed by the combined effects
of wave erosion, tectonic uplift, and sea-level oscillations at
glacial-cycle timescales. Well-preserved erosional terraces from the last
interglacial sea-level highstand are ideal marker horizons for
reconstructing past sea-level positions and calculating vertical
displacement rates. We carried out an almost continuous mapping of the last
interglacial marine terrace along  ∼ &thinsp;5000&thinsp;km of the western
coast of South America between 1°&thinsp;N and 40°&thinsp;S. We used
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estimates to ultimately compare elevations and patterns of uplifted terraces
with tectonic and climatic parameters in order to evaluate the controlling
mechanisms for the formation and preservation of marine terraces and
crustal deformation. Uncertainties were estimated on the basis of
measurement errors and the distance from referencing points. Overall, our
results indicate a median elevation of 30.1&thinsp;m, which would imply a median
uplift rate of 0.22&thinsp;m&thinsp;kyr<sup>−1</sup> averaged over the past  ∼ &thinsp;125&thinsp;kyr. The patterns of terrace elevation and uplift rate display high-amplitude
( ∼ &thinsp;100–200&thinsp;m) and long-wavelength ( ∼ &thinsp;10<sup>2</sup>&thinsp;km) structures at the Manta Peninsula (Ecuador), the San Juan de Marcona
area (central Peru), and the Arauco Peninsula (south-central Chile).
Medium-wavelength structures occur at the Mejillones Peninsula and Topocalma
in Chile, while short-wavelength ( &lt; &thinsp;10&thinsp;km) features are for instance
located near Los Vilos, Valparaíso, and Carranza, Chile. We interpret
the long-wavelength deformation to be controlled by deep-seated processes at
the plate interface such as the subduction of major bathymetric anomalies
like the Nazca and Carnegie ridges. In contrast, short-wavelength
deformation may be primarily controlled by sources in the upper plate such
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subduction of topographically less pronounced bathymetric anomalies.
Latitudinal differences in climate additionally control the formation and
preservation of marine terraces. Based on our synopsis we propose that
increasing wave height and tidal range result in enhanced erosion and
morphologically well-defined marine terraces in south-central Chile. Our
study emphasizes the importance of using systematic measurements and
uniform, quantitative methodologies to characterize and correctly interpret
marine terraces at regional scales, especially if they are used to unravel the
tectonic and climatic forcing mechanisms of their formation. This database
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(Freisleben et al., 2020).</p></abstract-html>
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