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Alkenone paleothermometry: Biological lessons from marine sediment records off western South America

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An empirical global core-top calibration that relates the alkenone unsaturation index to mean annual SST (maSST) is statistically the same as that defined for a subarctic Pacific strain of Emiliania huxleyi (CCMP1742) grown exponentially in batch culture under isothermal conditions. Although both equations have been applied widely for paleoSST reconstruction, uncertainty still stems from two key ecological factors: variability in the details of biosynthesis among genetically distinct alkenone-producing strains, and impacts of non-thermal physiological growth factors on . New batch culture experiments with CCMP1742 here reveal that diverge systematically from the core-top calibration in response to nutrient depletion and light deprivation, two physiological stresses experienced by phytoplankton populations in the real ocean. Other aspects of alkenone/alkenoate composition also respond to these stresses and may serve as signatures of such effects, providing an opportunity to detect, understand, and potentially correct for such impacts on the geologic record. A test case documents that sediments from the Southeast Pacific display the alkenone/alkenoate compositional signature characteristic of cells physiologically stressed by light deprivation. Such an observation could be explained if marine snow provided a major vector of sedimentation for these biomarkers. Late Pleistocene records in the Southeast Pacific yield plausible paleotemperature histories of ice-age cooling, but ice-age alkenone/alkenoate signatures fall outside the range of modern calibration samples of similar . They better match core-top samples deposited beneath waters characterized by much cooler maSST, suggesting key features of ice-age ecology for alkenone-producing haptophytes were different from today, and that the index taken alone may misgauge the total range of ice-age cooling at these locations. Analysis of the full spectrum of alkenone/alkenoate compositions preserved in sediments opens up a new opportunity that may improve the accuracy of paleotemperature estimates based on simple analysis and help resolve longstanding disagreements between various paleotemperature reconstruction methods.
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Alkenone paleothermometry: Biological lessons from marine
sediment records off western South America
Fredrick G. Prahl
*
, Alan C. Mix, Margaret A. Sparrow
College of Oceanic and Atmospheric Sciences, Oregon State University, Corvallis, OR 97331-5503, USA
Received 14 March 2005; accepted in revised form 24 August 2005
Abstract
An empirical global core-top calibration that relates the alkenone unsaturation index UK0
37 to mean annual SST (maSST) is statistically
the same as that defined for a subarctic Pacific strain of Emiliania huxleyi (CCMP1742) grown exponentially in batch culture under iso-
thermal conditions. Although both equations have been applied widely for paleoSST reconstruction, uncertainty still stems from two key
ecological factors: variability in the details of biosynthesis among genetically distinct alkenone-producing strains, and impacts of non-
thermal physiological growth factors on UK0
37. New batch culture experiments with CCMP1742 here reveal that UK0
37 diverge systematically
from the core-top calibration in response to nutrient depletion and light deprivation, two physiological stresses experienced by phyto-
plankton populations in the real ocean. Other aspects of alkenone/alkenoate composition also respond to these stresses and may serve
as signatures of such effects, providing an opportunity to detect, understand, and potentially correct for such impacts on the geologic
record. A test case documents that sediments from the Southeast Pacific display the alkenone/alkenoate compositional signature char-
acteristic of cells physiologically stressed by light deprivation. Such an observation could be explained if marine snow provided a major
vector of sedimentation for these biomarkers. Late Pleistocene UK0
37 records in the Southeast Pacific yield plausible paleotemperature his-
tories of ice-age cooling, but ice-age alkenone/alkenoate signatures fall outside the range of modern calibration samples of similar UK0
37.
They better match core-top samples deposited beneath waters characterized by much cooler maSST, suggesting key features of ice-age
ecology for alkenone-producing haptophytes were different from today, and that the UK0
37 index taken alone may misgauge the total range
of ice-age cooling at these locations. Analysis of the full spectrum of alkenone/alkenoate compositions preserved in sediments opens up a
new opportunity that may improve the accuracy of paleotemperature estimates based on simple UK0
37 analysis and help resolve longstand-
ing disagreements between various paleotemperature reconstruction methods.
2005 Elsevier Inc. All rights reserved.
1. Introduction
Since publication of the seminal work by Brassell et al.
(1986), the alkenone unsaturation index UK0
37 has often been
employed as a paleothermometric tool for Quaternary re-
search. Establishment of a simple, statistically well-be-
haved global calibration (Muller et al., 1998) justifiably
supports use of UK0
37 as a proxy for reconstruction of mean
annual sea-surface temperature (maSST). Nonetheless,
paleoreconstructions of maSST change must still be scruti-
nized, as even small systematic biases can change inferences
about mechanisms of climate change.
The relationship between UK0
37 values and maSST is
empirical (Herbert et al., 1998; Muller et al., 1998), not
causative (e.g., Prahl et al., 2000). Sediment trap time series
show that alkenone export from surface waters is seasonal
in many ocean locations (see Prahl et al., 2000 and refer-
ences therein). Also, the euphotic zone in many ocean loca-
tions is often thermally structured and modeled as a two-
layered biological system (Coale and Bruland, 1987; Small
et al., 1987). Thus, at least some portion of alkenone export
could derive from deeper in the euphotic zone where tem-
peratures are significantly colder than that at the sea sur-
face (e.g., Bentaleb et al., 1999; Prahl et al., 1993, 2001;
Ternois et al., 1997). Furthermore, work with laboratory
cultures shows UK0
37 values set by cells are species, even
strain, dependent (e.g., Conte et al., 1998; Yamamoto
0016-7037/$ - see front matter 2005 Elsevier Inc. All rights reserved.
doi:10.1016/j.gca.2005.08.023
*
Corresponding author. Fax: +1 541 737 2064.
E-mail address: fprahl@coas.oregonstate.edu (F.G. Prahl).
www.elsevier.com/locate/gca
Geochimica et Cosmochimica Acta 70 (2006) 101–117
et al., 2000), and are sensitive not only to growth tempera-
ture but also to physiological factors such as nutrient and
light availability (e.g., Epstein et al., 1998, 2001). These
observations contribute to uncertainty in absolute temper-
ature estimates derived from UK0
37 using a simple linear cal-
ibration curve, suggesting that the observed ±1.5 C
standard deviation of residuals in the global core-top cali-
bration (compared to typical ±0.5 C or better analytical
reproducibility of single samples) reflects systematic eco-
logical effects, rather than just random error. By better
understanding how physiological factors act to shape the
biochemical fingerprint, an opportunity is at hand to im-
prove use of alkenones as paleotemperature proxies.
Here, we document concordance between maSST and
UK0
37 measured in modern sea-floor sediments accumulating
along the continental margin, in deep basins, and on ridges
off western South America, that is consistent with the pre-
vious global calibration (Muller et al., 1998). We also char-
acterize the C
37
,C
38
, and C
39
alkenone and related C
36
alkenoate ÔfingerprintsÕpreserved in the surface sediments,
and with depth in three piston cores from sites representa-
tive of the subpolar transition zone off southern Chile, the
eastern boundary current off southern Peru, and the equa-
torial ‘‘cold-tongue’’ upwelling zone extending offshore
from South America. Each of these piston cores yields per-
spective on glacial–interglacial changes in oceanographic
conditions over the past 150 Kyrs. Examination of our
collective sediment data set in context with results from
laboratory-controlled batch culture experiments shows that
physiological factors likely have a significant impact on the
biomarker signature (and the implied paleotemperature
estimates) preserved in sediments from this region, and that
key features of the ecology of alkenone producers were
potentially quite different under ice-age conditions than
at present, with no apparent modern analog in the region.
2. Materials and methods
2.1. Sediment samples
Near-surface sediment was sampled from 33 multicores
collected in 1997 along a north-to-south transect from 13
to 51S off the Chile–Peru margin, and from four gravity
and three piston cores collected along an east-to-west tran-
sect from 90 to 140W in the eastern equatorial Pacific.
All multicores recovered pristine sediment–water interfac-
es, including soupy ‘‘fluff’’ layers. Upon recovery at sea,
the multicores were stored vertically under refrigerated
conditions (4 C) in the Oregon State University (OSU)
Core Repository (http://corelab-www.coas.oregonstate.
edu/), and after several months of storage were split and
described. These were then sealed in D-tubes and stored
horizontally under refrigeration prior to sampling. The
samples were taken in 1 cm thick sections from within
the bioturbated mixed-layer, as close to the core top as pos-
sible (Table 1). Samples taken at 5–6 cm depth in 13 of the
multicores reflect the fact that sediments settled during ver-
tical storage, and measurements of sample depths are in-
dexed to the top of the liner; that is, the true depth of
these samples below the original sediment–water interface
is 2–3 cm. Given the relatively high sedimentation rates
in the region, in some cases of over 100 cm/kyr (Mix
et al., 2003), all of these near-surface sediments are consid-
ered representative of modern conditions, averaged over
the past few hundred to perhaps a thousand years because
of bioturbation effects. Sediments were also sampled with
depth in three piston cores: Y69-71P, Y71-6-12P, and
RR9702A-11PC (Tables 1 and 2), which represent varia-
tions in composition over the last glacial–interglacial cycle.
2.2. Culture experiments
We selected a strain of Emiliania huxleyi (CCMP1742,
aka 55a) (obtained from the Pravasoli-Guillard National
Center for Culture of Marine Phytoplankton; http://
ccmp.bigelow.org/) for culture experiments because its
established UK0
37-growth temperature calibration (Prahl
et al., 1988) provides an excellent match with the empirical
core-top calibration for UK0
37 versus maSST (Muller et al.,
1998).
Three manipulative batch culture experiments were con-
ducted in controlled temperature baths using either f/2 or f/
20 as the nutrient media (see CCMP website for recipes)
and cool-white fluorescent lighting for illumination. Exper-
iments were designed to allow daily sampling over a period
extending from healthy, exponential growth into physio-
logically stressed growth. Inoculations used to initiate
experiments were made using cell stocks acclimated previ-
ously for growth at the experimental temperature. In all
experiments, cells were grown using a 12 h light/dark cycle.
Light intensity during the day was held constant at 50–
60 lEin/(m
2
s). Each day, approximately 1 h after lights
turned on automatically in the culture room, flasks were
swirled gently to assure homogenization and immediately
subsampled using a sterile pipette in order to monitor
changes in alkenone/alkenoate content and composition,
as well as cell density and nutrient concentration.
Cell density in the culture samples was determined
microscopically using a hemocytometer. Cells for biomark-
er analysis were collected by filtration on pre-combusted
(450 C, 8 h) glass fiber filters (GF/F: 25 mm, Whatman),
which were wrapped in aluminum foil and stored in an
ultrafreezer (80 C) until needed. The filtrate from each
subsample was collected in an acid-washed, plastic polyvial
(30 mL) and stored frozen until analyzed for nitrate and
phosphate by standard autoanalyzer techniques (Strick-
land and Parsons, 1972).
In one paired experiment, inoculated culture flasks
(500 mL) containing f/20 media (100 lM nitrate, 4 lM
phosphate) were maintained isothermally at 15 C and al-
lowed to grow either exponentially until nutrient-depleted
or until cell division was forced to stop by exclusion of
all light. More details about this experimental design are
given elsewhere (Prahl et al., 2003). This experiment evalu-
102 F.G. Prahl et al. 70 (2006) 101–117
Table 1
Alkenone and other ancillary data for surface sediments collected along the continental margin off the west coast of South America
Code Lat
a
(S)
Long
(W)
Water depth
(m)
sumSST
b
(C)
winSST
b
(C)
maSST
b
(C)
Core depth
(cm)
c
OC
(wt%)
%CaCO
3
(wt%)
RAlk
d
(lg/gOC)
UK0
37 UK0
37 T
e
(C)
%K37
f
%K38
f
ME/K37
f
EE/ME
f
RR9702A-01MC3 50.7 77.0 3964 9.7 7.2 8.7 5.5 0.29 5.6 303 0.370 9.7 52 43 0.253 0.666
RR9702A-08MC2 46.4 76.7 3014 11.9 7.4 10.3 5.5 1.0 5.4 360 0.420 11.2 51 44 0.226 0.729
RR9702A-12MC2 43.4 76.3 3523 13.5 9.2 11.8 5.5 1.3 1.8 348 0.467 12.6 50 44 0.213 0.711
RR9702A-27MC2 40.5 75.9 3850 15.4 10.5 13.2 5.5 1.2 0.4 399 0.470 12.7 50 44 0.185 0.700
RR9702A-44MC2 35.8 73.0 172 16.3 10.7 13.6 5.5 2.5 3.3 294 0.488 13.2 53 43 0.183 0.653
RR9702A-50MC1 23.6 73.6 3396 20.4 16.0 17.8 5.5 0.27 63.4 169 0.640 17.7 53 42 0.118 0.780
RR9702A-60MC1 20.9 81.5 2480 21.4 18.0 19.4 5.5 0.2 90.5 78 0.707 19.7
ggg g
RR9702A-34MC1 36.5 73.4 133 16.7 11.1 13.9 5.5 3.5 1.2 369 0.479 12.9 51 43 0.141 0.725
RR9702A-48MC3 32.6 73.7 3920 17.4 13.1 15.1 5.5 0.56 23.3 387 0.564 15.4 52 43 0.142 0.794
RR9702A-54MC1 21.4 81.4 1323 21.1 17.9 19.2 5.5 0.2 95.6 239 0.749 20.9
ggg g
RR9702A-77MC1 16.1 77.0 2588 22.8 16.6 19.4 5.5 1.6 5.7 679 0.677 18.8 53 42 0.078 0.907
RR9702A-80MC4 13.5 76.9 448 21.7 14.7 18.0 5.5 4.4 0.3 657 0.699 19.4 55 42 0.060 0.779
RR9702A-31MC1 37.7 75.4 3946 17.0 11.7 14.3 5.5 1.3 0.4 505 0.495 13.4 49 45 0.160 0.751
RR9702A-06MC2 46.9 76.6 3298 11.9 7.4 10.3 0.5 0.89 2.7 376 0.402 10.7 47 48 0.239 0.684
RR9702A-14MC4 43.5 76.5 3471 13.5 9.2 11.8 0.5 1.1 1.6 354 0.453 12.2 47 47 0.202 0.711
RR9702A-20MC7 40.0 74.5 1055 15.9 10.1 13.2 1.5 1.0 4.5 452 0.479 12.9 47 48 0.186 0.710
RR9702A-04MC5 47.0 76.6 3354 11.9 7.4 10.3 2.5 0.92 2.7 399 0.410 10.9 46 48 0.241 0.717
RR9702A-10MC2 46.3 76.5 2879 11.9 7.4 10.3 2.0 0.85 6.5 398 0.430 11.5 47 47 0.232 0.696
RR9702A-22MC3 40.0 74.1 430 15.2 9.6 12.9 0.5 1.4 2.0 479 0.487 13.2 47 48 0.189 0.667
RR9702A-25MC2 39.9 75.9 4087 16.1 10.9 13.6 0.5 1.1 0.5 336 0.489 13.2 46 47 0.182 0.691
RR9702A-39MC3 36.2 73.6 510 16.7 11.1 13.9 2.0 2.3 1.0 392 0.507 13.8 49 46 0.174 0.697
RR9702A-42MC1 36.2 73.7 1028 16.7 11.1 13.9 0.5 2.4 4.7 441 0.481 13.0 50 46 0.186 0.668
RR9702A-46MC1 33.3 73.5 3852 16.9 12.6 14.7 2.0 0.94 7.8 397 0.533 14.5 49 46 0.170 0.740
RR9702A-52MC1 23.2 73.3 3418 20.4 16.0 17.8 2.5 0.33 54.2 167 0.633 17.5 51 45 0.125 0.729
RR9702A-62MC1 18.1 79.0 2937 22.5 17.6 19.7 1.5 0.92 75.7 68 0.698 19.4 53 44 0.106 0.889
RR9702A-72MC1 16.5 76.2 3782 22.8 16.6 19.4 2.0 0.84 0.5 349 0.696 19.3 52 44 0.083 0.869
RR9702A-74MC1 16.2 76.2 3476 22.8 16.6 19.4 2.0 1.2 0.1 478 0.675 18.7 53 44 0.088 0.982
RR9702A-66MC1 16.1 77.1 2575 22.9 16.9 19.6 2.0 1.6 6.4 427 0.677 18.8 53 44 0.095 0.819
RR9702A-68MC1 16.0 76.4 3228 22.8 16.6 19.4 1.5 1.6 0.0 513 0.685 19.0 51 45 0.077 0.886
RR9702A-70MC1 16.7 76.0 4124 22.8 16.6 19.4 3.0 0.67 0.0 270 0.661 18.3 53 43 0.098 0.894
RR9702A-64MC1 17.0 78.1 2930 22.9 17.4 19.8 2.0 0.44 55.9 227 0.701 19.5 52 44 0.086 0.982
RR9702A-83MC2 13.2 77.3 1419 22.3 15.9 18.9 2.5 8.9 0.0 571 0.748 20.9 52 44 0.070 0.890
RR9702A-82MC4 13.7 76.7 264 21.7 14.7 18.0 2.0 15.0 4.4 618 0.736 20.5 52 43 0.062 1.035
VNTR01-19PC (7.9) 90.5 3448 27.6 26.8 27.4 3.5
hh h
0.911 25.6
ggg g
VNTR01-9PC 3.0 110.5 3860 26.0 22.1 24.1 2.5
hh h
0.876 24.6
ggg g
VNTR01-12GC 3.0 95.1 3535 26.3 20.3 23.2 3.5
hh h
0.802 22.4
ggg g
VNTR01-10GC 4.5 102.0 3405 25.4 22.2 24.3 3.5
hh h
0.867 24.3
ggg g
VNTR01-8PC 0.0 110.5 3791 25.7 21.8 23.4 0.5
hh h
0.868 24.4
ggg g
VNTR01-21GC (9.6) 94.6 3710 27.8 27.2 27.7 3.5
hh h
0.908 25.6
ggg g
MANOP-14GC (1.0) 140.0 3900 27.0 25.3 26.1 0.5 0.36 80 92 0.957 27.0
ggg g
a
Numbers in parentheses are north latitude, i.e. N.
b
sumSST, winSST, mast, summer, winter, and mean annual SST, respectively.
c
Depths measured from top of core liner. Cores settled during transport, so all samples actually taken within the top 3 cm of original sediment–water interface.
d
Total C
37
,C
38
, and C
39
alkenone concentration.
e
Temperature estimated from calibration equation UK0
37 ¼0:034Tþ0:039 (Prahl et al., 1988)
f
Alkenone/alkenoate compositional properties—see text for definition.
g
Chromatograms contained interfering peaks which prohibited reliable quantitation of these compositional properties.
h
Not determined.
Alkenone paleothermometry off western South America 103
Table 2
Compositional data for alkenone/alkenoate signatures measured with depth in piston cores collected along the continental margin off the west coast of South America
RR9702A-11PC Y71-6-12P Y69-71P
Latitude (46.317S); Longitude (76.538W); Water
depth (2825 m)
Latitude (16.443S); Longitude (77.563W); Water depth (2734 m) Latitude (0.083N); Longitude (86.482W); Water depth (2740 m)
Depth (cm) Age (Kyr) UK0
37 ME/K37 EE/ME Depth (cm) Age (Kyr) UK0
37 %K37 %K38 ME/K37 EE/ME Depth (cm) Age (Kyr) UK0
37 %K37 %K38 ME/K37 EE/ME
1.5 0.6 0.463 0.229 0.673 12.5 4.2 0.712 52 44 0.140 0.868 7.3 1.1 0.857 55 42 0.069 0.921
11.5 4.8 0.425 0.269 0.519 17.5 6.5 0.710 54 42 0.102 0.780 10.5 1.5 0.859 54 42 0.066 0.967
21.5 9.0 0.405 0.268 0.448 27.0 10.8 0.683 54 42 0.101 0.746 18.5 2.6 0.854 55 42 0.057 1.077
31.5 13.1 0.322 0.308 0.522 32.0 12.7 0.696 52 43 0.095 0.848 40.5 5.6 0.831 55 41 0.056 1.088
41.5 17.3 0.290 0.321 0.475 45.5 16.8 0.646 53 43 0.113 0.699 50.0 6.9 0.816 54 43 0.055 1.198
51.5 21.5 0.268 0.310 0.504 49.5 18.3 0.616 53 43 0.121 0.645 62.0 8.5 0.797 55 42 0.064 1.026
61.5 0.262 a a 55.5 20.4 0.625 54 42 0.126 0.621 80.5 11.0 0.787 55 42 0.058 0.983
71.5 0.308 a a 60.5 21.9 0.612 53 43 0.131 0.644 100.5 12.8 0.756 54 42 0.056 1.128
81.5 0.365 a a 65.5 23.5 0.625 54 42 0.131 0.658 120.5 14.5 0.767 55 41 0.055 0.928
91.5 0.348 a a 65.5 23.5 0.613 54 42 0.132 0.664 139.5 16.2 0.764 55 41 0.056 0.852
101.5 0.349 a a 70.5 26.0 0.626 54 43 0.124 0.762 149.0 17.0 0.771 55 41 0.054 0.905
111.5 0.347 a a 75.5 28.3 0.624 54 42 0.127 0.707 180.0 19.2 0.777 56 41 0.059 0.719
121.5 0.363 a a 80.5 31.5 0.622 54 42 0.138 0.599 201.0 20.5 0.766 56 41 0.061 0.887
131.5 0.355 a a 85.5 37.8 0.627 54 42 0.138 0.596 218.5 21.5 0.777 57 39 0.070 0.565
141.5 0.349 a a 90.5 44.6 0.639 54 42 0.122 0.596 240.5 22.8 0.779 56 41 0.063 0.570
151.5 0.376 a a 96.5 50.0 0.662 54 42 0.122 0.532 250.0 23.5 0.790 55 41 0.074 0.528
161.5 0.367 a a 100.0 52.9 0.659 55 42 0.117 0.539 260.5 24.2 0.801 55 41 0.062 0.628
171.5 0.367 a a 104.5 56.5 0.683 54 43 0.111 0.533 279.5 26.4 0.814 55 41 0.067 0.651
181.5 0.330 a a 113.0 60.4 0.678 54 42 0.113 0.521 300.5 29.1 0.827 54 43 0.094 0.562
191.5 0.342 a a 117.5 62.1 0.678 53 43 0.117 0.476 322.5 31.8 0.809 54 42 0.069 0.668
200.5 0.337 a a 119.5 62.7 0.674 54 42 0.117 0.513 336.5 33.6 0.820 55 41 0.078 0.514
210.5 0.323 a a 125.5 66.0 0.659 54 43 0.126 0.468 339.0 33.9 0.797 57 41 0.082 0.483
220.5 0.319 a a 130.5 70.9 0.673 54 42 0.132 0.436 348.5 35.1 0.813 55 42 0.078 0.509
230.5 0.335 a a 135.5 75.8 0.712 54 43 0.125 0.448 357.5 36.2 0.808 56 41 0.074 0.530
250.5 0.334 a a 140.5 79.9 0.735 54 42 0.127 0.429 361.0 36.6 0.819 55 42 0.070 0.574
270.1 0.307 a a 145.0 85.0 0.738 53 43 0.123 0.429 377.5 38.7 0.797 56 41 0.077 0.556
290.5 0.300 a a 150.0 91.1 0.695 54 42 0.117 0.440 381.0 39.1 0.785 56 41 0.074 0.568
310.5 0.265 0.320 a 155.0 97.1 0.706 55 42 0.118 0.450 400.5 41.6 0.809 55 41 0.069 0.607
320.5 0.264 0.331 a 160.0 103.1 0.689 54 42 0.121 0.466 420.0 44.0 0.818 56 41 0.074 0.569
330.5 0.259 0.304 a 165.0 106.6 0.712 54 42 0.115 0.424 449.0 47.6 0.833 56 41 0.073 0.531
350.5 0.350 a a 170.0 108.9 0.681 54 42 0.107 0.485 459.0 48.9 0.831 56 41 0.077 0.484
370.5 0.325 a a 175.0 111.7 0.714 53 43 0.104 0.440 482.0 51.8 0.846 56 41 0.076 0.437
391.0 0.347 a a 180.0 115.7 0.734 53 43 0.091 0.485 501.0 54.1 0.819 56 41 0.078 0.565
410.5 0.350 a a 186.5 122.8 0.738 52 43 0.086 0.503 519.5 56.4 0.840 56 41 0.093 0.406
430.5 0.342 a a 194.5 133.8 0.701 51 44 0.100 0.491 538.5 58.9 0.816 56 41 0.077 0.467
450.5 0.332 a a 201.0 138.6 0.689 51 45 0.113 0.541 548.5 60.8 0.799 56 41 0.080 0.428
470.5 0.307 a a 206.0 141.9 0.704 53 43 0.092 0.505 559.5 62.9 0.796 56 41 0.077 0.476
500.5 0.307 a a 210.0 144.8 0.680 52 43 0.102 0.465 577.5 66.3 0.809 55 41 0.091 0.405
520.5 0.326 a a 216.0 149.1 0.683 52 44 0.104 0.520 598.5 70.1 0.806 55 41 0.110 0.346
530.5 0.302 a a 221.0 152.5 0.657 52 44 0.107 0.466 618.0 73.5 0.812 56 41 0.089 0.396
550.5 0.296 a a 226.0 155.7 0.682 52 44 0.092 0.530 637.5 77.0 0.844 55 42 0.087 0.346
570.5 0.302 0.326 a 231.0 158.8 0.660 52 43 0.089 0.489 648.5 79.0 0.869 55 42 0.071 0.413
610.5 0.284 0.311 a 236.0 162.0 0.676 52 44 0.092 0.550 662.5 81.5 0.859 55 42 0.076 0.401
680.5 0.284 a a 241.0 165.9 0.645 53 43 0.097 0.529 678.5 84.8 0.862 55 42 0.086 0.422
700.5 0.306 a a 246.0 170.1 0.673 53 44 0.094 0.560 698.5 89.7 0.864 55 42 0.087 0.397
104 F.G. Prahl et al. 70 (2006) 101–117
ated how nutrient depletion, an environmental stress that
would likely occur during termination of a bloom event,
might affect the alkenone/alkenoate composition transmit-
ted to the sediment record. In a second experiment, a pair
of culture flasks was filled with f/2 media (900 lM nitrate,
40 lM phosphate), inoculated, and allowed to grow expo-
nentially for several days at 20 C. Growth temperature
was then abruptly decreased to 15 C. When the 5 C tem-
perature decrease was imposed, one flask was covered for a
continuous 5-day period with aluminum foil to exclude all
light while the other, serving as a control, was left other-
wise unchanged. This experiment was designed to evaluate
the extent to which the alkenone/alkenoate composition of
viable cells inadvertently packaged into settling materials
such as marine snow could be modified physiologically
during transit to the sediment record as viable cells experi-
ence temperature drop and complete darkness during set-
tling. With the exception of higher nutrient
concentrations and a temperature shift, this second exper-
iment was conducted in a manner identical with the first
set.
The cultures grown using f/2 media have initial nutrient
concentrations significantly higher than typical oceanic val-
ues. We chose this condition, however, to obtain sufficient
material to monitor in detail changes in alkenone/alkeno-
ate content through the different stages of this experiment
from exponential to stressed growth under conditions that
approximate in key ways known real-world effects. Such
physiological stress effects cannot be simulated using che-
mostats which, by design, focus on nutrient-limited, stea-
dy-state, exponential growth conditions (e.g., Popp et al.,
1998). Given our prior findings that the direct effects of
high nutrient concentration are negligible on UK0
37 (Prahl
et al., 1988), we believe the use in our culture experiments
of a media with high initial nutrients is most appropriate.
2.3. Lipid biomarker analyses
Each sample, either as wet sediment (1–3 g dry) or as al-
gal cells (P10
6
) on GF/F, was put into a glass centrifuge
tube (50 mL), spiked with a recovery standard (nonadec-
an-2-one), and ultrasonically extracted using a 3:1 mixture
of methylene chloride and methanol (20 mL, 3·). Extracts
were combined in a separatory funnel and, after addition of
pre-extracted water (10 mL), partitioned into hexane
(20 mL, 3·). The hexane solution was then dried over gran-
ular, anhydrous Na
2
SO
4
(24 h) and the solvent was subse-
quently removed by rotary evaporation under gentle
vacuum at room temperature.
From the resultant lipid residue, a fraction enriched in
C
37
–C
39
alkenones and C
36
alkenoates (Brassell, 1993)
was isolated by silica gel column chromatography. The
concentration and composition of the alkenone/alkenoate
mixtures contained in these fractions were measured quan-
titatively using on-column, capillary gas chromatography
with flame ionization detection. See Prahl et al. (1989) for
further procedural details. All reported concentration data
720.5 0.305 a a 251.0 174.1 0.640 53 43 0.105 0.508 718.5 95.5 0.874 55 42 0.076 0.436
740.5 0.313 a a 737.5 100.6 0.866 55 43 0.074 0.440
760.5 0.321 a a 758.5 105.6 0.850 54 42 0.065 0.489
783.0 111.9 0.814 56 41 0.065 0.502
800.5 116.7 0.874 56 42 0.061 0.396
818.5 121.5 0.899 55 42 0.053 0.498
838.5 125.4 0.905 54 42 0.039 0.853
858.5 129.2 0.872 54 43 0.052 0.772
878.5 132.9 0.847 54 43 0.064 0.642
898.5 136.6 0.840 54 43 0.063 0.604
919.5 140.4 0.855 54 43 0.052 0.648
938.5 143.9 0.857 54 43 0.046 0.650
958.5 147.4 0.824 54 43 0.052 0.654
980.5 151.1 0.827 54 43 0.049 0.751
1002.5 155.0 0.843 54 43 0.046 0.819
a, Gas chromatographic interference prevented reliable quantitation.
Alkenone paleothermometry off western South America 105
have been corrected for internal standard recovery, which
was typically 80–90%. The routine precision on biomarker
concentration and relative compositional properties and
the unsaturation index UK0
37 was typically better than ±5–
10% and ±0.5–1%, respectively.
2.4. Elemental carbon analyses
Total carbon (TC) and total organic carbon (OC) were
measured in all multicore samples by a high-temperature
combustion method using a Carlo Erba NA-1500 Elemen-
tal Analyzer. Prior to elemental analysis, subsamples of
sediment slotted for OC determination were treated with
an excess quantity of a volatile acid (either concentrated
HCl or H
2
SO
3
) to remove inorganic carbon (Hedges and
Stern, 1984; Verardo et al., 1990). Calcium carbonate con-
tent of each sample was then estimated as a weight percent-
age of dry sediment (%CaCO
3
), assuming all detectable
inorganic carbon, calculated from the difference between
TC and OC, exists in that mineralogical form.
2.5. Stable isotope analyses and chronostratigraphy
Stratigraphic and chronologic control in the sediment
cores is provided by oxygen isotope analysis of the benthic
foraminfera, Uvigerina peregrina and/or Planulina wueller-
storfi, using Finnigan MAT-251 and MAT-252 mass spec-
trometers at Oregon State University. Acid digestion of
carbonate shells was done using an Autoprep Systems com-
mon acid batch system online with the MAT-251, or using
a Finnigan ‘‘Kiel-III’’ separate acid bath device online with
the MAT-252. Calibration to the widely accepted Pee Dee
Belemnite (PDB) scale was accomplished by analysis of
two standards from the National Institute of Standards
and Technology (NIST): NBS-19 and NBS-20. The preci-
sion of replicate d
18
O analyses for both standards was
±0.06&, with no significant offset between results on the
two different instruments.
Age models in the sediment cores are based on correla-
tion of down-core d
18
O variations with global reference re-
cords (e.g., Martinson et al., 1987; Pisias and Mix, 1997)
and linear interpolation between discrete time horizons.
Additional chronologic control comes from published
radiocarbon dates that have been converted to calendar
ages (Clark et al., 2004; Feldberg and Mix, 2003).
3. Results
3.1. Sediment analyses
Near-surface sediment samples from 33 multicores, four
gravity cores, and three piston cores (Fig. 1) were analyzed
for both the content and composition of C
37
,C
38
, and C
39
alkenones and C
36
alkenoates (Table 1). Both types of com-
pounds, biomarkers unique to a small subset of haptophyte
algae (Green and Leadbetter, 1994), were readily detected
constituents of the solvent extractable lipid fraction isolat-
ed from all samples. The same compositional information
was also obtained from analysis of sediments sampled
stratigraphically in three piston cores (see stars in Fig. 1).
3.2. Alkenone content of surface sediments
Total alkenone concentrations (RAlk), defined by the
sum of all di- and tri-unsaturated C
37
methyl, C
38
methyl
and ethyl, and C
39
ethyl ketone constituents (Brassell,
1993), spanned almost two orders of magnitude in the sam-
ple set, ranging from 0.1 to 92 lg/g dry sediment and aver-
aging 8.0 lg/g. RAlk normalized to total organic carbon
(OC) also spanned a wide range, from 68 to 679 lg/gOC.
RAlk normalized to dry sediment weight covaries positively
with the weight percent OC content of sediments (%OC)
with a high degree of correlation (r= +0.993). Although
this statistical finding supports the interpretation that the
OC content of these sediments is predominantly of marine
origin, such inference cannot be made unequivocally from
simple correlation alone.
3.3. Calcium carbonate content of surface sediments
%CaCO
3
estimates varied widely in the set of surface sed-
iments examined, from undetectable to P95% (Table 1).
Since the coccolithophorid E. huxleyi is considered a domi-
nant source of alkenones in the world ocean today (Brassell,
1993), significant correlation between RAlk (normalized to
dry sediment) and %CaCO
3
could be expected. These prop-
erties do covary positively, but the correlation is weak
(r= +0.26). Additional CaCO
3
contribution from sources
such as foraminiferal tests as well as fundamental differences
in organic matter decomposition and CaCO
3
dissolution
mechanisms probably account for this weak correlation.
3.4. Alkenone unsaturation pattern in surface sediments
UK0
37 values measured in the set of surface sediments
spanned 60% of the 0 to 1 range possible for the index
(Table 1). The correlation of UK0
37 with SST in overlying sur-
face waters (Table 1) is high regardless of whether World
Ocean Atlas 2001 data (http://www.awi-bremerhaven.de/
GEO/ODV/data/WOA01/) are viewed as summer (Janu-
ary–March: r= +0.97, n= 40), winter (July–September:
r= +0.96) or mean annual (r= +0.98) values.
All UK0
37 values were converted into algal growth temper-
ature (gT) estimates using the established laboratory cali-
bration equation for the benchmark strain of E. huxleyi
CCMP1742 (i.e., UK0
37 ¼0:034Tþ0:039: Prahl et al.,
1988). gT estimates ranged from 9.7 to 27 C(Table 1),
with values within the seasonal range of SST observed
for waters overlying each coring site in all but two cases
(VNTR01-19PC and 21GC) and generally approximating
maSST. A scatter plot (Fig. 1) shows findings for surface
sediments from our study region comply well with the
UK0
37maSST calibration obtained by statistical analysis of
the global data set (Muller et al., 1998).
106 F.G. Prahl et al. 70 (2006) 101–117
3.5. Alkenone/alkenoate signature in surface sediments
Four indices in addition to UK0
37 describe the overall alke-
none/alkenoate signature (Brassell, 1993) preserved in the
surface sediments and its geographic variation throughout
the study region (Table 1). Two indices (%K37, %K38)
quantify the distribution of total C
37
(or C
38
) alkenones rel-
ative to alkenones of all three possible carbon chain
lengths, i.e., C
37
,C
38
, and C
39
. A third (ME/K37) quanti-
fies the proportion of total C
36
methyl ester (ME) concen-
tration relative to total C
37
alkenone (K37) concentration.
And, a fourth (EE/ME) quantifies the distribution of the
C
36
alkenoate in its ethyl ester (EE) relative to its methyl
ester (ME) form.
C
37
components are the most abundant alkenones in all
sediments, comprising 46–53% of the total. C
38
compo-
nents are next most abundant (43–48%), and C
39
compo-
nents are relatively rare (3–7%). Methyl esters of the C
36
alkenoic acid are between 5 and 25% as abundant as
C
37
alkenones. The relative proportion of the C
36
alkenoic
acid in its ethyl (EE) and methyl (ME) ester forms ranges
from 0.7–1.0.
Variations in %K37, ME/K37, and EE/ME in modern
(core-top) sediments all follow systematic trends when
plotted versus UK0
37. %K37 values increase gradually in di-
rect proportion to the alkenone unsaturation index
(Fig. 2A) while ME/K37 values decrease (Fig. 2B).
Although significant scatter masks any clear trend below
aUK0
37 of 0.6, an increase in EE/ME values is apparent for
higher values of the alkenone unsaturation index (Fig. 2C).
3.6. Down-core stratigraphic biomarker distributions
Alkenone and alkenoate composition was also charac-
terized stratigraphically with depth in cores collected at
three specific locations along the continental margin off
maSST (oC)
0.25
0.50
0.75
1.00
multicore tops
Prahl et al. (1988)
Muller et al. (1998)
U K’
37
5 1015202530
110 100 90 80 70 60
-50
-40
-30
-20
-10
0
10
20
10
12
14
16
16
18
18
20
20
22
22
24
24
26
28
Latitude (+ oN, - oS)
Lon
g
itude (oW)
Fig. 1. Map on the left shows locations along the continental margin off the west coast of South America where sediment samples were obtained for
detailed alkenone/alkenoate analysis. Solid symbols depict sites where surface sediments from core-tops were obtained from 33 multicores, three (of four)
gravity cores, and three piston cores (Table 1); open stars depict three piston core sites where sediments were obtained stratigraphically with depth (Table
2). Dashed lines represent isotherms for mean annual sea-surface temperature (maSST) (Ocean Climate Laboratory, 2003). Major oceanographic currents
and features in the study region (Strub et al., 1998) are also identified (bold arrows) to provide context for discussion. The graph on the right shows a
scatter plot for UK0
37 values measured in surface sediments versus maSST in waters overlying each multicore site (all data from Table 1). Dotted line depicts
the global calibration equation ðUK0
37 ¼0:033Tþ0:044Þestablished for surface sediment collected from 60Nto60S throughout all ocean basins (Muller
et al., 1998). Dashed line depicts the UK0
37 versus temperature relationship established for a single strain of E. huxleyi grown in laboratory-controlled batch
cultures (UK0
37 ¼0:034Tþ0:039: Prahl et al., 1988).
Alkenone paleothermometry off western South America 107
%K37
40
45
50
55
60
65
70
ME/K37
0.00
0.05
0.10
0.15
0.20
0.25
0.30
0.35 Multicores
Y69-71P
Y71-6-12P
RR9702A-11P
Ehux: 15oC, nutrient stress
Ehux: 15oC, dark stress
Ehux: 20 to 15oC shift, dark stress
Ehux: 20 to 15oC shift, control
0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0
EE/ME
0.25
0.50
0.75
1.00
1.25
EE
E
E
E
E
E
E
E
E
E
E
UK'
37
A
B
C
Fig. 2. Scatter plot of values for (A) %K37, (B) ME/K37, and (C) EE/ME versus UK0
37 measured in surface sediments (Table 1) and three piston cores (Y69-
71P, Y71-6-12P, and RR9702A-11PC: Table 2) from the continental margin off the west coast of South America (see text for definition of each
compositional property). The black lines represent trends defined by data for the same compositional properties measured in a Ônutrient stressÕ(solid) and
Ôdark stressÕ(dashed) experiment with E. huxleyi grown isothermally at 15 C under laboratory-controlled, batch culture conditions. The solid grey lines
represent trends defined by time series data obtained from an experiment where Ôdark stressÕwas imposed with a simultaneous 5 C decrease in growth
temperature (i.e., 20–15 C). The dashed grey lines represent the trend for a control on the latter experiment, i.e., case where the 20–15 C temperature shift
was imposed with no dark stress. The letter E associated with each line depicts the composition of exponentially dividing cells at the start of each
experiment. The arrowhead on each line indicates the time series trajectory of compositional change caused by each stress. All culture data used to draw
the lines depicted in this figure are given in Table 3. The filled and open symbols for core data correspond to sediments deposited since and prior to the
LGM (21 Ka), respectively.
108 F.G. Prahl et al. 70 (2006) 101–117
the west coast of South America (Fig. 1). One (Y69-71P:
0.08N, 86.5W) records the depositional history of equa-
torial waters at the northern edge of our surface sediment
survey area. The second (Y71-6-12P: 16.4S, 77.6W) re-
cords the depositional history of waters underlying a sub-
tropical section of the Peru Current. And the third
(RR9702A-11PC: 46.3S, 76.5W) records depositional his-
tory in the subpolar transition zone, where waters from the
West Wind Drift bifurcate into the north-flowing Peru
Current and the south-flowing Cape Horn Current. In
cores Y69-71P and Y71-6-12P, approximately 150 Kyr of
deposition are represented based on d
18
O stratigraphy. Be-
cause of the scarcity of calcareous fossils and unavailability
of radiocarbon data, assignment of an equivalent age scale
for RR9702A-11PC is not now possible. For this core, ten-
tative assignment of climate events is made based on corre-
lation of UK0
37 variations here with the other sites.
UK0
37 was reliably determined in all intervals sampled
from the three cores. Values varied significantly in each,
spanning a range from 0.756 to 0.905, 0.612 to 0.738,
and 0.259 to 0.463, respectively (Table 2). Down-core vari-
ations generally track benthic foraminiferal records of d
18
O
available for both Y69-71P and Y71-6-12P (Figs. 3A and
B) with colder temperature estimates broadly correspond-
ing to glacial intervals (relatively high d
18
O values). Assign-
ment of the LGM time horizon in RR9702A-11PC is
placed within the 50–60 cm depth interval of the core based
solely on visual inspection of the UK0
37 profile (Fig. 3C).
The correspondence of UK0
37 temperature estimates with
oxygen isotope stages in both Y69-71P and Y71-6-12P is
imperfect. For example, warming associated with the last
deglaciation appears to lag d
18
O changes at the equator
(Core Y69-71P) but leads to d
18
O changes in Y71-6-12P.
In contrast with the alkenone-based estimates, tempera-
tures inferred at the equator and in core Y71-6-12P based
on planktonic foraminiferal species assemblages (Feldberg
and Mix, 2003) yield higher-amplitude temperature chang-
es, and the equatorial zone appears to warm earlier during
the deglaciation than the eastern boundary current (Fig. 3).
Reliable stratigraphic measurement of the four other
compositional properties (%K37, %K38, ME/K37, and
EE/ME) analyzed in surface sediments was only possible
20 21 22 23 24 25 26
Core Depth (cm)
0
250
500
750
1000
3.03.54.04.55.05.5
UK' -T
δ18O
16 17 18 19 20 21
0
50
100
150
200
250
δ18O
δ18O3.54.04.55.0
T (oC)T (oC) T (oC)
0
250
500
750
Y69-71P Y71-6-12P RR9702A-11PC
789101112136
37
ABC
Fig. 3. Profiles for estimates of UK0
37-based sea-surface temperature (SST) with depth in three piston cores from the study area (Fig. 1): (A) Y69-71P; (B)
Y71-6-12P; and (C) RR9702A-11PC. SST estimates were calculated using a standard calibration equation (UK0
37 ¼0:034Tþ0:039: Prahl et al., 1988). The
depth profile for stable oxygen isotope measurements (d
18
O) on benthic foraminiferal tests from discrete depths in Y79-71P (Clark et al., 2004) and Y71-6-
12P (Feldberg and Mix, 2003) are also plotted in (A) and (B) for stratigraphic reference purposes.
Alkenone paleothermometry off western South America 109
in Y69-71P and Y71-6-12P. Weak biomarker signal com-
bined with the presence of interfering gas chromatograph-
ic peaks prevented their routine determination in
RR9702A-11PC in all but a few cases for ME/K37 and
EE/ME. Complete down-core records for %K37 and
ME/K37 in Y69-71P and Y71-6-12P are plotted in Figs.
2A and B, respectively. In both cores, the signatures for
these properties fall along trends defined by correspond-
ing surface sediment data. GC traces were of sufficiently
high quality in the case of only 10% of the samples ana-
lyzed from R9702A-11PC to allow confident determina-
tion of ME/K37. All acceptable data from this core fall
along the projected surface-sediment trend defined for this
property (Fig. 2B).
EE/ME
0.25 0.50 0.75 1.00 1.25
Age (kiloyears)
0
25
50
75
100
125
150
175
RR9702A-11PC
Y71-6-12P
Y69-71P
Fig. 4. Stratigraphic profiles for EE/ME values measured in three piston cores from our study area (Y69-71P; Y71-6-12P; and RR9702A-11PC, see stars in
Fig. 1). An age model was established for the first two cores using available depth records for d
18
O in benthic foraminiferal shells and radiocarbon dates on
foraminiferal carbonate in sediment samples from discrete depths (Pisias and Mix, 1997). For the third core, ages were assigned more arbitrarily, assuming a
constant rate of sedimentation and the LGM time horizon (21 Kyr) corresponds to the depth of the observed UK0
37 minimum at 50 cm (Table 2).
110 F.G. Prahl et al. 70 (2006) 101–117
In contrast to the case for %K37 and ME/K37, EE/ME
from pre-Holocene samples for Y69-71P and Y71-6-12P
deviate significantly from the surface-sediment trend
(Fig. 2C). Closer examination shows that EE/ME varies
systematically through time. EE/ME for all depth intervals
younger than 17 Kyr in Y69-71P and 28 Kyr in Y71-6-
12P are reasonably consistent with the surface-sediment
trends, but decrease at greater ages, until returning to
near-modern values in Y69-71P at ages >120 ka (Fig. 4).
In RR9702A-11PC, GC data quality limited reliable EE/
ME determination to only the six samples examined above
the purported LGM depth at 50–60 cm. Although the
surface-sediment value is consistent with the regional trend
for modern samples, EE/ME appears anomalously low
(Fig. 2C). The shift to lower EE/ME values in RR9702A-
11PC occurs at younger age than that observed in lower
latitude cores Y71-6-12P and Y69-71P, in which EE/ME
values display gradual increase beginning approximately
at the depth of oxygen isotope stage boundary 3/2 and
extending through the LGM to recent times (Fig. 4).
A long-term preservational effect provides one possible
explanation for this EE/ME deviation in older sediments.
That is, the ethyl ester (EE) may over long time spans be
selectively degraded relative to its methyl ester (ME) form.
However, EE/ME in Y69-71P returns down-core to values
within the modern range of values (Fig. 4), arguing against
accumulation of monotonic preservational effects over
time.
An alternative possibility is that the assemblage of
organisms contributing to this biomarker record has chan-
ged over time, i.e., there is no modern analog for alkenone
producers present during some intervals of the last ice age.
If so, this finding would challenge the accuracy of absolute
ice-age temperatures derived from alkenones in this region.
The relatively low EE/ME signatures in the ice-age samples
are consistent with core-top samples associated with much
lower maSST than is suggested by their UK0
37 signature
(Fig. 2). Clearly, we must better understand physiological
controls on these changing biomarker compositions in or-
der to assess unequivocally the implications for paleocea-
nographic reconstruction of surface water temperatures.
3.7. Physiological controls on biomarker composition
Results from a Ônutrient stressÕand a Ôdark stressÕexper-
iment (Table 3) confirm that the alkenone content of E.
huxleyi can vary widely depending upon the cellÕs physio-
logical status (Conte et al., 1998; Epstein et al., 1998). Sig-
nificant increase in alkenone concentrations occurs under
well-illuminated, nutrient-limited stationary growth condi-
tions while significant decrease occurs when cells are ex-
posed to prolonged darkness. Results also confirm that
the metabolic gain and loss of cellular alkenone content
can occur compound selectively and lead to considerable
variation in UK0
37 values independent of temperature. Selec-
tive mobilization of compounds has an opposite effect on
UK0
37, causing values to decrease under nutrient stress condi-
tions and to increase in the case of prolonged dark stress.
The magnitude of the impact on UK0
37 values in the algal
strain studied (CCMP1742) is equivalent to that expected
for a growth temperature change of up to ±3 C when
gauged using the empirical relationship established from
global surface sediments (Muller et al., 1998).
Tabulated results also show that non-thermal physiolog-
ical factors can significantly impact compositional proper-
ties of the overall alkenone/alkenoate signature, not just
the C
37
alkenone unsaturation index UK0
37. However, impacts
of nutrient depletion and continuous darkness on the com-
positional properties %K37, ME/K37, and EE/ME are not
opposite as observed for UK0
37. At least in the paleoceano-
graphic benchmark strain of E. huxleyi, CCMP1742, both ef-
fects are unidirectional for %K37, ME/K37, and nutrient
stress has little quantitative effect on ME/K37.
Fig. 2 places collective compositional data obtained
from these two batch culture experiments in quantitative
perspective with sediment data. %K37, ME/K37, and
EE/ME values measured in exponentially growing (i.e., un-
stressed) E. huxleyi cells all fall outside the compositional
trend defined by sediment data, while those measured in
cells exposed to longer periods of non-thermal stress tend
toward the sediment recorded signature. The latter obser-
vation applies to all properties except ME/K37 in the case
of the nutrient stress experiment. These findings imply that
the alkenone/alkenoate signatures in these sedimentary re-
cords reflect the history of stressed populations, which may
have relationships to the environment different from popu-
lations growing exponentially in continuous cultures. Of
particular interest is our observation that populations
stressed by nutrient deprivation may register paleotemper-
atures that are anomalously cold, or that populations
stressed by light deprivation (e.g., in sinking blooms) may
register paleotemperatures that are anomalously warm.
AÔdark stressÕexperiment analogous to the one just de-
scribed, but with a 5 C decrease in growth temperature
(which simulates settling of viable phytoplankton out of
the euphotic zone and into underlying, colder waters),
yielded effects on the cellular biomarker content and the
compositional properties of %K37, ME/K37, and EE/
ME similar to those of the prior experiment (Table 3).
There was one most notable exception, however—virtually
no change in UK0
37 values occurred. In this experiment, the
decrease in growth temperature fortuitously compensated
for the effect of prolonged darkness on UK0
37 values. In a
control for the latter Ôdark stressÕexperiment, growth tem-
perature was shifted but a normal daily 12 h L:D cycle was
maintained. Control results revealed that UK0
37 responds
immediately to the shift in growth temperature, as expected
from prior culture work (Prahl et al., 1988). %K37, ME/
K37, and EE/ME values also all responded and displayed
shifts in the direction expected for cells rapidly adapting
to the new growth temperature (Fig. 2).
Overall findings demonstrate that the alkenone/alkeno-
ate composition of E. huxleyi grown in culture can be
affected significantly by temperature not only when these
Alkenone paleothermometry off western South America 111
biomarkers are biosynthetically assembled but also when
they are metabolically destroyed by the cell. Assuming
the noted compensatory effect of cooling on the UK0
37 ex-
pressed by cells under prolonged darkness is applicable to
populations growing in the real ocean, such effects might
mitigate some apparent temperature biases depending on
the sinking rate of cells relative to the thermal gradient
experienced with depth.
4. Discussion
Paleoceanographers now employ a variety of methods
to reconstruct glacial–interglacial sea-surface temperature
(SST) change throughout different regions of the world
ocean. The classic method for SST reconstruction, involv-
ing statistical analysis of microfossil species assemblages
derived from planktonic organisms such as foraminifera,
radiolaria, and diatoms (CLIMAP, 1981), has been ad-
vanced with a variety of statistical schemes, including
updated transfer functions that circumvent faunal no-ana-
log problems (Mix et al., 1999), several different modern
analogous methods (Ortiz and Mix, 1997; Pflaumann
et al., 1996; Waelbroeck et al., 1998), neural network pat-
tern matching schemes (Malmgren and Nordlund, 1997),
and correspondence analysis methods that consider multi-
ple environmental parameters (Morey et al., 2005). In spite
of these advances, legitimate questions remain about the
accuracy of faunal temperature estimates based on statisti-
cal calibrations, in part because different statistical meth-
ods give slightly different temperature estimates in some
Table 3
Summary of results from batch culture experiments with E. huxleyi strain CCMP1742
Sampling day Growth condition Density
(cells/mL)
Nitrate
(lM)
Phosphate
(lM)
RAlk
(pg/cell)
UK0
37 %K37 %K38 ME/K37 EE/ME
Isothermal (15 C), ÔNutrient StressÕExperiment
115, 12:12 L/D 1.93E+05 83.1 11.5 1.2 0.579 68 31 0.070 0.627
215, 12:12 L/D 3.18E+05 74.3 10.7 1.2 0.572 68 31 0.068 0.652
315, 12:12 L/D 4.27E+05 61.6 9.8 1.5 0.559 69 30 0.067 0.617
415, 12:12 L/D 6.16E+05 44.5 8.5 1.3 0.554 69 30 0.073 0.635
515, 12:12 L/D 9.39E+05 18.3 6.6 1.5 0.535 68 31 0.065 0.592
615, 12:12 L/D 1.26E+06 0.1 4.5 1.4 0.511 67 31 0.061 0.621
715, 12:12 L/D 1.48E+06 0.2 2.8 2.0 0.497 63 35 0.062 0.686
815, 12:12 L/D 1.54E+06 0.2 1.6 2.7 0.498 61 37 0.063 0.721
915, 12:12 L/D 1.60E+06 0.1 0.5 3.3 0.496 58 39 0.064 0.809
10 15, 12:12 L/D 1.72E+06 0.0 0.5 3.3 0.492 56 41 0.063 0.820
11 15, 12:12 L/D 1.76E+06 0.0 0.5 3.7 0.493 54 42 0.066 0.797
Isothermal (15 C), ÔDark StressÕExperiment
115, 12:12 L/D 2.04E+05 81.9 11.4 1.5 0.566 68 31 0.066 0.650
215, Dark Shift 3.06E+05 74.3 10.8 1.5 0.553 67 32 0.067 0.608
315, 24 D 3.82E+05 71.4 10.5 1.3 0.528 66 32 0.081 0.610
415, 24 D 4.00E+05 70.4 10.4 1.0 0.554 64 35 0.096 0.675
515, 24 D 4.17E+05 65.5 10.2 0.6 0.567 58 40 0.144 0.760
615, 24 D 4.02E+05 59.8 9.8 0.5 0.587 51 46 0.197 0.859
715, 24 D 3.99E+05 52.4 9.3 0.4 0.608 49 48 0.244 0.841
20–15 C Temperature Shift, ÔDark StressÕExperiment
120, 12:12 L/D 3.64E+05 898 37.4 1.4 0.761 67 31 0.025 a
2 T and Dark Shift 5.59E+05 924 36.0 1.3 0.745 67 31 0.022 a
315, 24 D 5.54E+05 918 36.9 1.3 0.725 65 33 0.031 a
415, 24 D 5.58E+05 924 37.0 0.95 0.749 61 37 0.040 a
515, 24 D 5.41E+05 924 37.5 0.66 0.764 56 42 0.053 a
615, 24 D 5.11E+05 922 37.1 0.62 0.763 54 44 0.063 a
715, 24 D 5.29E+05 929 37.1 0.61 0.765 52 45 0.066 a
Control for 20–15 C Temperature Shift, ÔDark StressÕExperiment
120, 12:12 L/D 1.41E+05 955 34.4 1.8 0.747 67 31 0.028 a
2 T Shift, 12:12 L/D 2.37E+05 790 28.6 1.5 0.749 66 32 0.023 a
315, 12:12 L/D 2.83E+05 931 33.5 1.6 0.687 66 32 0.030 a
415, 12:12 L/D 3.62E+05 924 32.5 1.8 0.645 67 32 0.036 a
515, 12:12 L/D 5.52E+05 902 31.0 1.7 0.599 66 32 0.042 a
615, 12:12 L/D 7.94E+05 871 28.8 1.8 0.571 66 32 0.048 a
715, 12:12 L/D 9.73E+05 842 26.8 1.9 0.556 66 32 0.053 a
815, 12:12 L/D 1.55E+06 749 22.4 2.1 0.529 65 33 0.053 a
915, 12:12 L/D 1.92E+06 818 23.2 1.8 0.530 64 34 0.059 a
10 15, 12:12 L/D 2.86E+06 679 15.9 1.6 0.517 62 35 0.060 a
a, Cannot be calculated; EE not resolved by GC from tri-unsaturated C
38
ethyl ketone; hence, calculated %K37 and %K38 values are 3% too low and too
high, respectively.
112 F.G. Prahl et al. 70 (2006) 101–117
regions (e.g., Kucera et al., 2005). Examples of promising
geochemical approaches for SST reconstruction include
measurement of magnesium to calcium ratios in planktonic
foraminiferal shells (Elderfield and Ganssen, 2000) and the
alkenone unsaturation index UK0
37 (Brassell et al., 1986).
Paired use of techniques such as these, however, has in
some cases yielded conflicting conclusions about the mag-
nitude and timing of SST change (e.g., Niebler et al.,
2003), suggesting that the geochemical methods need to
be assessed for biases just as the faunal methods do.
As a case in point, Feldberg and Mix (2003) argued, based
on results from statistical analysis of foraminiferal species
assemblages, that equatorial waters in the Eastern Tropical
Pacific Ocean (ETP) during the LGM were 3–5 C colder
than at present while those in the north-flowing Peru Current
off southern Peru were 6–8 C colder. Our stratigraphic anal-
ysis of UK0
37 in a core from the ETP (Y69-71P) and from the
Peru Current off southern Peru (Y71-6-12P) suggests the
magnitude of SST cooling in the LGM was 3C at both
sites (Figs. 3A and B), and the cooling occurred at slightly
different times. Can the noted differences in assessment be
reconciled objectively? A definitive answer to this question
is beyond the scope of the present study, but it is now possible
to more objectively advance our sense of uncertainty in UK0
37-
based SST estimates for the Southeast Pacific region, given
results from a detailed analysis of alkenone/alkenoate com-
positions preserved in these sediments coupled with findings
from our laboratory-controlled batch culture experiments
with E. huxleyi.
4.1. Oceanographic controls on the sedimentary biomarker
signature
The greatest uncertainty in the UK0
37 technique now ap-
pears to stem from yet limited knowledge of the ecology
of alkenone producers in surface waters and of the biogeo-
chemical processes controlling alkenone export production
from the euphotic zone. Two key questions arise. First,
what species contribute to the alkenone/alkenoate signa-
ture preserved in sediments and how does this assemblage
change through space and time? Second, what is the phys-
iological status of cells packaged into settling particulate
material that ultimately forms the long-term sedimentary
record?
Our study shows surface sediments accumulating all
along the continental margin off the west coast of South
America are consistent with the global UK0
37maSST calibra-
tion, both in trend and scatter (Fig. 1). On this basis, the
overall alkenone/alkenoate composition in exponentially
dividing cells of this algal strain would be expected to close-
ly match that preserved in surface sediment from our study
region. However, preserved compositions of %K37, ME/
K37, and EE/ME more closely match those in nutrient
and/or dark stressed cells than those in healthy, exponen-
tially dividing cells (Fig. 2). This finding is not surprising
because biogenic sedimentation is largely controlled by
the settling of particle aggregates (McCave, 1975), which
originate from surface waters as products of feeding pro-
cesses (Turner, 2002). Fecal pellets and marine snow (Pas-
sow et al., 2001; Thornton, 2002) represent two distinct
classes of such biogenic particle aggregates. Assuming dia-
genetic overprinting is an insignificant process, the alke-
none/alkenoate signatures recorded by sediments
accumulating at the seafloor should reflect that encoded
into fecal pellets and marine snow at the time such particle
aggregates are produced or perhaps shortly thereafter.
Bloom events, although particularly renowned in re-
gions of divergence where upwelling occurs, are features
common to most oceanic surface waters (Miller, 2004).
The fate for most bloom-generated organic matter is to
be grazed and remineralized within the euphotic zone.
However, some fraction survives in situ destruction and be-
comes packaged during grazing and other feeding process-
es into aggregates that rapidly settle out of the euphotic
zone, thereby contributing to export production (Turner,
2002). Compositional characteristics of alkenone/alkeno-
ate signatures encoded within export production would de-
pend upon when during blooms that cells are packaged
into these aggregates and specifically how the packaging
occurred.
Blooms represent periods of unbalanced primary pro-
duction in surface waters and are terminated ultimately
by nutrient depletion (Miller, 2004) with processes such
as lysis, either massive viral or auto-induced (e.g., Bidle
and Falkowski, 2004 and references therein) further facili-
tating the termination. Some of the alkenone/alkenoate
content of export production from blooms certainly derives
from direct grazing of Ônutrient-stressedÕcells and thereby
should carry the biomarker signature of such cells to the
seafloor. A significant fraction of the biomarker signature
exported from surface waters is potentially associated with
living cells inadvertently incorporated into marine snow
aggregates generated by other planktonic processes within
the euphotic zone (e.g., Thornton, 2002; Turner, 2002). The
alkenone/alkenoate signature initially imparted to marine
snow by capture of a viable cell, regardless of its growth
stage, could then be physiologically modified over a period
of days as the aggregate settled out of the euphotic zone
into darkness in transit to the seafloor. In this way, the sed-
iment record would also inherit a signature for ÔstressedÕ
cells.
Literature supports our proposition that the alkenone/
alkenoate composition preserved in marine sediments is
shaped by that most characteristic of stressed cells. Conte
et al. (1998) documented significant compositional change
as cells shifted from the exponentially dividing to the sta-
tionary growth phase. Conte et al. (1995) also compared
their laboratory results for ME/K37 with measurements
for this property in samples of suspended particulate mate-
rials (SPM) collected from the euphotic zone in the North
Atlantic and found values measured in SPM collected un-
der non-bloom and late bloom conditions were typically
consistent with those characteristic of cultures in a station-
ary growth phase. Nonetheless, ÔstressedÕsignatures were
Alkenone paleothermometry off western South America 113
not always observed in their work. SPM collected during
periods of bloom development in mesocosm experiments
displayed ME/K37 values fitting expectation, i.e., those
characteristic of healthy, exponentially dividing cells. Giv-
en the findings of ConteÕs research group and our current
results, a resemblance of alkenone/alkenoate compositions
in surface sediments throughout our study area and those
in ÔstressedÕcells of E. huxleyi is reasonable (Fig. 2).
Grimalt et al. (2000) reviewed a body of evidence from
field study and laboratory experiments that suggest UK0
37 is
insensitive to significant alteration once set biosynthetically
within the phytoplankton cell. However, results from more
recent, follow-up studies suggest otherwise (Marchand
et al., 2005; Rontani et al., 2005). Diagenetic effects would
likely be most pronounced on ME/K37, a property based
on the relative abundance of two functionally distinct com-
pound classes with potentially the greatest susceptibility to
differential degradation (Harvey, 2000). Indeed, experimen-
tal results from laboratory-based studies with microbes
spanning a range of metabolisms show alkenoates are
degraded more rapidly than alkenones (Teece et al.,
1998). However, assuming the order of diagenetic selectiv-
ity defined by these laboratory experiments applied to nat-
ural environments, diagenesis could not possibly transform
the ME/K37 composition of healthy, exponentially divid-
ing cells into one resembling that preserved in sediments
from our study area, because the trend is opposite
(Fig. 2B). Furthermore, field evidence is lacking for signif-
icant differential degradation of alkenones and alkenoates.
In the North Atlantic, comparable rates of loss were appar-
ent for both compound classes at five bathypelagic sedi-
ment sites (Madureira et al., 1995) and no significant
offset was apparent between ME/K37 compositions in
SPM and underlying sediment (Conte et al., 1995). On this
basis, we discount diagenesis as a key cause for composi-
tional differences noted between alkenone/alkenoate signa-
tures in living cells of E. huxleyi and those preserved in
sediments and submit that ecological and physiological
processes operating in the upper ocean are the controlling
factors.
4.2. Impact of sedimentation process on alkenone-based SST
estimations
Alkenone/alkenoate signatures preserved in marine sed-
iments from the Southeast Pacific suggest that the pre-
served record derives predominantly from physiologically
ÔstressedÕcells. Given that stresses imposed experimentally
on cultured cells are similar to those present in the natural
world and cause significant systematic variability in UK0
37
values at a specified growth temperature, it is reasonable
to infer that some of the observed scatter in the global
core-top calibration for UK0
37 versus maSST is not just ran-
dom analytical noise. Thus, greater caution is required
whenever down-core UK0
37 measurements are used to recon-
struct absolute changes in maSST. This point is particular-
ly relevant when assessments disagree significantly with
those made through analysis of alternative paleoSST prox-
ies, the circumstance now apparent in many regions,
including those represented by two core sites (Y69-71P
and Y71-6-12P) studied in the present work.
How accurately does standard use of alkenone paleoth-
ermometry constrain the magnitude of maSST change be-
tween the LGM and the present in our study area? The
method could either systematically under-estimate or
over-estimate actual SST change, given a relatively minor
change in the mechanical details of marine snow-dominat-
ed sedimentation (Thornton, 2002; Turner, 2002) such as
a simple shift in the timing of biomarker export from sur-
face water blooms. Whether the assessment yielded an un-
der-estimate or over-estimate would depend on how the
minor ecological change related to the past versus present
ocean.
Let us assume that CCMP1742, the strain of E. huxleyi
we cultured, represents the average alkenone/alkenoate
producer living in surface waters throughout our study
area at least since the LGM. Also, let us assume results
from our batch culture experiments accurately gauge how
the conditions of nutrient depletion and continuous dark-
ness would impact the alkenone/alkenoate composition
of these organisms in their natural environment. Given
only the occurrence of nutrient stress and current prospects
for minimal impact from selective diagenetic alteration, a
match between the ME/K37 composition of cells and that
preserved in surface sediments could then not be made
(Fig. 2B) unless most cells contributing to the biomarker
signal experienced dark stress at some point in their depo-
sitional history.
Extrapolating from culture results, dark stress acting
alone would cause an increase in UK0
37 or a perceived Ôwarm-
ing.ÕHowever, waters underlying the euphotic zone become
colder. Results from our temperature shift experiment (Ta-
ble 3) indicate the water temperature decrease encountered
beneath the euphotic zone may partially, perhaps even fully
compensate for the apparent ÔwarmingÕeffect of just dark
stress. Consequently, the UK0
37 signature initially incorporat-
ed within sinking marine snow could potentially retain an
approximate record of changing sea-surface temperature,
despite significant metabolic loss of the biomarker signal
in the viable cell under continuous darkness conditions.
Of our three piston core sites, the temperature gradient be-
tween the euphotic zone (nominally 100 m) and 250 m
depth is strongest at the equatorial site (10 Conan
annual average), intermediate at the Peru site (5C),
and lowest at the subpolar transition site (2C) as shown
by data from World Ocean Atlas 2001 visualized using
Ocean Data View. On this basis, we predict the net impact
of temperature compensation on any dark stress effect
would be greatest at the equatorial site. However, under
conditions of sea-surface cooling during glacial episodes,
reduced thermal gradients with depth could allow more
of the dark stress effect to be expressed, resulting in a slight
under-estimate of temperature changes by UK0
37. Conversely,
an increase in the vertical thermal gradient during cold
114 F.G. Prahl et al. 70 (2006) 101–117
periods, driven by subsurface temperature changes, could
cause UK0
37 to over-estimate changes in temperature.
No matter how the process of dark stress specifically im-
pacts the UK0
37 of viable cells captured within sinking marine
snow in natural settings on a quantitative basis, it is possi-
ble that, for a given water temperature, the value incorpo-
rated within marine snow would not necessarily always
start out the same. The initial value would depend upon
the physiological status of the cell captured by the sedimen-
tary process. For example, assuming results from laborato-
ry experiments with CCMP1742 extrapolate to the field
(see Popp et al., 2005; Prahl et al., 2005), cells captured un-
der nutrient-replete, mid-bloom conditions would display
UK0
37 values appearing somewhat ÔwarmerÕthan those cap-
tured under nutrient-depleted late-bloom conditions. In
the case of our Southeast Pacific study area, glacial condi-
tions were thought to be more highly productive (Mohtadi
and Hebbeln, 2004). If so, and this productivity was asso-
ciated with less nutrient stress on the populations during
cold events, UK0
37 values could conceivably under-estimate
total temperature changes.
4.3. The paleoceanographic tally
Unquestionably, significant glacial–interglacial variabil-
ity in UK0
37 is apparent in down-core stratigraphic records at
three distinct sites in our study area (Table 2). In each case,
values display a relatively smooth decrease back to the
LGM. Standard translation of these records into maSST
estimates suggests the magnitude of LGM ÔcoolingÕwas
not the same everywhere (Fig. 3). It was similar (3C)
at the equatorial site (Y69-71P) and the site within the
northern part of the Peru Current (Y71-6-12P) but two
times greater at the site (RR9702A-11PC) where the West
Wind Drift bifurcates, ultimately forming the Peru Current
(Fig. 1).
Results for Y71-6-12P agree with previous alkenone-
based estimates in the region (TG7, Calvo et al., 2001).
Nevertheless, in view of prospects we document for non-
thermal physiological impacts on UK0
37, and our inference
based on ME/EE signatures that all ice-age samples from
the region may have no modern ecological analogs, there
is now legitimate reason to question the accuracy of
LGM ÔcoolingÕassessed by this method, which is much less
than that inferred from foraminiferal species assemblages
(Feldberg and Mix, 2003; Kucera et al., 2005) and some-
what less than that inferred from radiolarian species assem-
blages (Pisias and Mix, 1997). Furthermore, analysis of
d
18
O and Mg/Ca data for foraminifera preserved in cores
from the equatorial region represented by Y69-71P sug-
gests LGM ÔcoolingÕwas much less than that suggested
by any of the faunal estimates, and only 50% of the
UK0
37-based assessment made here (Koutavas and Lynch-
Stieglitz, 2003). Clearly, no consensus yet exists about the
true magnitude of ice-age cooling in this region.
Discrepancies between SST assessments based on analy-
sis of alkenones and foraminiferal species assemblages are
not unique to our study. Niebler et al. (2003) recognized
similar effects in their paleoceanographic study of the equa-
torial and south Atlantic and its associated eastern bound-
ary current system, especially in upwelling systems. They
ascribed the discrepancy to differences in the life history
of alkenone producers and foraminifera but did not ad-
dress the issue of physiological impacts on UK0
37. In view
of our findings, non-thermal physiological impacts on the
phytoplankton producing these biomarkers may provide
at least partial explanation for the discrepancy and need
to be considered carefully.
Finding systematic stratigraphic changes in the ME/EE
signature suggests major changes occurred in the phyto-
plankton ecology of surface waters overlying each of our
core sites. This prospect may provide a logical explanation
for some of the observed misfits between records for UK0
37
and various other types of temperature proxies. However,
all fault cannot and should not be cast on the UK0
37 method
as some level of systematic bias almost certainly applies as
well to other biologically based proxy assessments. Unfortu-
nately, there is yet insufficient information available both
from culture experiments with alkenone producers and anal-
ysis of core records from our study area to determine more
specifically what type of ecological change may have oc-
curred. Pending further study, we cannot determine confi-
dently how our evidence for ecological change impacts the
accuracy of UK0
37-based maSST assessments. Nonetheless,
given EE/ME values display the smallest LGM—Modern
change in RR9702A-11PC (Fig. 4), we now propose that
non-thermal physiological effects on the accuracy of maSST
assessments are lowest and perhaps unimportant in the
southern part of our study area. The stratigraphic behavior
of EE/ME values in the two northern cores suggests non-
thermal physiological factors have not been constant since
the LGM. Consequently, the accuracy of LGM ÔcoolingÕin
these regions currently warrants greatest suspicion.
By careful analysis of the full alkenone/alkenoate com-
positional suite preserved in sediments, understanding of
both past temperature changes and other key elements of
paleocirculation and ecosystems will be improved, yielding
deeper insights into past and plausible future changes in the
global system. Advancement in future development of the
UK0
37 paleothermometer will almost certainly require coordi-
nated laboratory culture and natural surface water studies,
and efforts made to put new biological discoveries in ocean-
ographic context with the fossil sediment record for these
biomarkers.
5. Conclusions
(1) The regional core-top calibration for UK0
37 versus
maSST in the modern Southeast Pacific closely
matches the equivalent global core-top calibration
of Muller et al. (1998).
(2) Batch culture experiments with the paleoceanograph-
ic benchmark strain of E. huxleyi, CCMP1742, dem-
onstrate there can be significant non-thermal
Alkenone paleothermometry off western South America 115
physiological effects on UK0
37 and the alkenone/alkeno-
ate composition. A compelling, although yet unprov-
en, argument can be made that these non-thermal
physiological effects shape the overall biomarker sig-
nature preserved in Southeast Pacific sediments and
likely elsewhere in the ocean.
(3) Analysis of sediment cores collected on the conti-
nental margin off the west coast of South America
yields plausible regional histories of paleotempera-
ture based on UK0
37, but other aspects of the pre-
served alkenone/alkenoate signature imply that
ice-age samples may have no modern ecological
analog in the core-top calibration set. Further
analysis of the complete set of alkenone/alkenoate
compositional properties in sedimentary records, in
the modern water column, and in carefully
designed culture experiments should shed light on
these ecological issues and eventually yield richer
information about paleoceanographic change than
is now possible through current use of just the
UK0
37 index.
Acknowledgments
We are thankful to Joe Jennings for all nutrient analy-
ses, Dr. R. Schlitzer for making available a powerful way
to visualize data from World Ocean Atlas 2001 using the
software package Ocean Data View (http://www.
awi-bremerhaven.de/GEO/ODV/), and two reviewers
(Jean-Franc¸ois Rontani and one anonymous) for highly
constructive comments on a prior version of this paper.
We are also most grateful to the National Science Founda-
tion funded Core Repository at Oregon State University
for providing all sediment samples analyzed in this
study and to the Ocean Sciences Division of NSF for all
research support (OCE-9730376: both F.G.P. and
A.C.M.; OCE-9986306 and 0350409: F.G.P.).
Associate Editor: H. Rodger Harvey
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Alkenone paleothermometry off western South America 117
... ACC is the Antarctic Circumpolar Current; PCC is the Peru-Chile Current; CHC is the Cape Horn Current; STF is the subtropical front; SAF is the Subantarctic Front; PF is the polar front; SACCF is the southern Antarctic Circumpolar Current front. Red dots indicate the southern Chilean margin and Drake Passage samples (this study); orange dots indicate the Drake Passage samples (Lamping et al., 2021; this study); light blue dots indicate the northern-central Chilean margin samples (Prahl et al., 2006(Prahl et al., , 2010; dark blue dots indicate the northern-central Chilean margin samples (Kaiser et al., 2015); yellow dots indicate the South Pacific Gyre, central South Pacific, and Aotearoa / New Zealand margin samples (Jaeschke et al., 2017); and green dots indicate the central South Pacific and Aotearoa / New Zealand margin samples (Ho et al., 2014). The map was created using the program ocean data view (Schlitzer, 2023 ...
... Our alkenone-based SSTs fit the WOA05-derived annual mean and summer temperatures and show only a small seasonal effect towards warmer SSTs. This observation is also in line with previous data from the northern-central Chilean margin, which yield a slight seasonal effect south of 50 • S (Prahl et al., 2006(Prahl et al., , 2010. Also, a previous study from the Chilean fjord region confirms that the SST signals are only slightly shifted towards summer in the southern Chilean fjord region ( Fig. 4; Caniupán et al., 2014). ...
... We compared the samples from our relatively small study region with published data from the South Pacific Gyre, the central South Pacific, the Aotearoa / New Zealand margin (Jaeschke et al., 2017), and the northern-central Chilean margin (Prahl et al., 2006(Prahl et al., , 2010, based on the Müller98 and Sikes97 calibrations (Fig. 5). We also calculated the residual temperatures by subtracting the modern WOA05 temperatures at 10 m water depth from our calculated temperatures, which are shown in combination with U K 37 against SSTs (Fig. 5). ...
Article
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As remnants of living organisms, alkenones and isoprenoid glycerol dialkyl glycerol tetraether lipids (isoGDGTs) are widely used biomarkers for determining ocean water temperatures from the past. The organisms that these proxy carriers stem from are influenced by a number of environmental parameters, such as water depth, nutrient availability, light conditions, or seasonality, which all may significantly bias the calibration to ambient water temperatures. Reliable temperature determinations thus remain challenging, especially in higher latitudes and for undersampled regions. We analyzed 33 sediment surface samples from the southern Chilean continental margin and the Drake Passage for alkenones and isoGDGTs and compared the results with gridded instrumental reference data from the World Ocean Atlas 2005 (WOA05) and previously published data from an extended study area covering the central and western South Pacific towards the Aotearoa / New Zealand continental margin. We show that for alkenone-derived sea surface temperatures (SSTs), the widely used global core-top calibration of Müller et al. (1998) yields the smallest deviation of the WOA05-based SSTs. On the contrary, the calibration of Sikes et al. (1997), determined for higher latitudes and summer SSTs, overestimates modern WOA05-based SSTs in both the annual mean and summer. Our alkenone SSTs show a slight seasonal shift of ∼ 1 ∘C at the southern Chilean margin and up to ∼ 2 ∘C in the Drake Passage towards austral summer SSTs. Samples in the central South Pacific, on the other hand, reflect an annual mean signal. We show that for isoGDGT-based temperatures, the subsurface calibration of Kim et al. (2012a) best reflects temperatures from the WOA05 in areas north of the Subantarctic Front (SAF). Temperatures south of the SAF are, in contrast, significantly overestimated by up to 14 ∘C, irrespective of the applied calibration. In addition, we used the GDGT [2]/[3] ratios, which give an indication of the production depth of the isoGDGTs and/or potential influences from land. Our samples reflect a subsurface (0–200 m water depth) rather than a surface (0–50 m water depth) signal in the entire study area and show a correlation with the monthly dust distribution in the South Pacific, indicating terrigenous influences. The overestimation of isoGDGT surface and subsurface temperatures south of the SAF highlights the need for a reassessment of existing calibrations in the polar Southern Ocean. Therefore, we suggest a modified Southern Ocean tetraether index (TEX86)-based calibration for surface and subsurface temperatures, which shows a lower temperature sensitivity and yields principally lower absolute temperatures, which align more closely with WOA05-derived values and also OH–isoGDGT-derived temperatures.
... Our alkenone-based SSTs fits world ocean atlas-derived annual mean and summer temperatures, showing only a small seasonal effect towards warmer SSTs. This observation is also in line with previous data from the Northern -Central Chilean Margin, which yields a slight seasonal effect south of 50° S (Prahl et al., 2006;Prahl et al., 2010). Also, a previous study from the Chilean fjord region confirms SST signals being only slightly shifted towards summer in the southern Chilean fjord region 160 (Fig. 4;Caniupán et al., 2014). ...
... We compared the samples from our relatively small study region with published data from the South Pacific Gyre, the Central South Pacific, the New Zealand Margin (Jaeschke et al., 2017) and the Northern -Central Chilean Margin (Prahl et al., 2006;Prahl et al., 2010) based on the Müller98 and Sikes97 calibrations (Figure 5). We also calculated the residual temperatures by subtracting the modern WOA05 temperatures at 10 m water depth from our calculated temperatures, shown in combination with U K' 37 against SSTs (Figure 5). ...
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Alkenones and Glycerol Dialkyl Glycerol Tetraether lipids (GDGT) as remnants of living organisms are widely used biomarkers for determining past oceans’ water temperatures. The organisms these proxy carriers stem from, are influenced by a number of environmental parameters, such as water depth, nutrient availability, light conditions or seasonality, which all may significantly bias the calibration to ambient water temperatures. Reliable temperature determinations remain thus challenging, especially in higher latitudes and for under-sampled regions. We analyzed 33 sediment surface samples from the Southern Chilean continental margin and the Drake Passage for alkenones and GDGTs and compared the results with gridded instrumental reference data from the World Ocean Atlas 2005 (WOA05), as well as previously published data from an extended study area covering the Central and Western South Pacific towards the New Zealand continental margin. We show that for alkenone-derived SSTs, the widely-used global core-top calibration of Müller et al. (1998) yields the smallest residuals, whereas the calibration of Sikes et al. (1997), adapted to higher latitudes and supposed to show summer SSTs, overestimates modern WOA05-based (summer and annual mean) SSTs. Our alkenone SSTs show a slight seasonal shift of ~1 °C at the Southern Chilean Margin and up to ~2 °C in the Drake Passage towards austral summer SSTs, whereas samples in the Central South Pacific reflect an annual mean signal. We show that for GDGT-based temperatures, a more complex pattern emerges. In areas north of the Subantarctic Front (SAF) the subsurface calibration of Kim et al. (2012a) best reflects temperatures from the WOA05, largely within the margin error of ±2.2 °C. Temperatures south of the SAF instead are significantly overestimated by up to 14 °C, irrespective of the applied calibration. Based on a qualitative assessment of the GDGT [2] / [3]-ratios, which likely indicate water depth of origin, our samples reflect a subsurface (0 to 200 m water depth) rather than a surface (0–50 m water depth) signal. The overestimation of surface and subsurface temperatures south of the SAF highlights the need for a re-assessment of existing calibrations in the polar Southern Ocean, and leads to limitations in reliably both obtaining absolute values and assessing relative changes. Therefore, we suggest a modified Southern Ocean calibration for surface and subsurface GDGT-based temperatures, which shows a lower temperature sensitivity of the TEXL86 and yields principally lower absolute temperatures, which align more closely with WOA05-derived values.
... Alkenones are a class of mono-, di-, tri-, tetra-and penta-unsaturated C 35 -C 40 methyl and ethyl ketones, which are produced by certain haptophytes [74][75][76][77][78]. The unsaturation ratio of C 37 37:3 ] are the concentrations of di-and tri-unsaturated C 37 methyl alkenones, respectively) varies positively with the growth temperature of the alga [79,80] and is thus now routinely used for paleotemperature reconstructions (e.g., [81,82]). ...
... Alkenones are a class of mono-, di-, tri-, tetra-and penta-unsaturated C35-C40 methyl and ethyl ketones, which are produced by certain haptophytes [74][75][76][77][78] 3] are the concentrations of di-and tri-unsaturated C37 methyl alkenones, respectively) varies positively with the growth temperature of the alga [79,80] and is thus now routinely used for paleotemperature reconstructions (e.g., [81,82]). Due to the trans-geometry of the alkenone double bonds [83], which is poorly reactive with 1 O2 [33), alkenones are not affected by type II photosensitized oxidation processes [84,85]. ...
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This paper reviews applications of gas chromatography-mass spectrometry techniques for the characterization of photooxidation and autoxidation products of lipids of senescent phototrophic organisms. Particular attention is given to: (i) the selection of oxidation products that are sufficiently stable under environmental conditions and specific to each lipid class and degradation route; (ii) the description of electron ionization mass fragmentation of trimethylsilyl derivatives of these compounds; and (iii) the use of specific fragment ions for monitoring the oxidation of the main unsaturated lipid components of phototrophs. The techniques best geared for this task were gas chromatography-quadrupole-time of flight to monitor fragment ions with very high resolution and accuracy, and gas chromatography-tandem mass spectrometry to monitor very selective transitions in multiple reaction monitoring mode. The extent of the degradation processes can only be estimated if the oxidation products are unaffected by fast secondary oxidation reactions, as it is notably the case of ∆5-sterols, monounsaturated fatty acids, chlorophyll phytyl side-chain, and di- and triterpenoids. In contrast, the primary degradation products of highly branched isoprenoid alkenes possessing more than one trisubstituted double bond, alkenones, carotenoids and polyunsaturated fatty acids, appear to be too unstable with respect to secondary oxidation or other reactions to serve for quantification in environmental samples.
... While temperature is consistently found as the first-order influence on the U K 0 37 index (Prahl et al., 1988(Prahl et al., , 2010Müller et al., 1998;Tierney and Tingley, 2018), scatter from the linear calibration arises due to secondary, non-thermal factors. These could include seasonally-variable alkenone export by zooplankton grazing (Conte et al., 2006;Prahl et al., 2006), which modifies the effect of seasonal production noted above; environmental stresses (e.g., light, nutrients: Epstein et al., 1998;Prahl et al., 2006Prahl et al., , 2010Pan and Sun, 2011); and limited but perhaps selective degradation in sediments, which modifies U K 0 37 (Prahl et al., 2010;Pan and Sun, 2011;Rontani et al., 2013). Since we cannot provide a detailed review of these influences here, please see the respective citations for further details. ...
... While temperature is consistently found as the first-order influence on the U K 0 37 index (Prahl et al., 1988(Prahl et al., , 2010Müller et al., 1998;Tierney and Tingley, 2018), scatter from the linear calibration arises due to secondary, non-thermal factors. These could include seasonally-variable alkenone export by zooplankton grazing (Conte et al., 2006;Prahl et al., 2006), which modifies the effect of seasonal production noted above; environmental stresses (e.g., light, nutrients: Epstein et al., 1998;Prahl et al., 2006Prahl et al., , 2010Pan and Sun, 2011); and limited but perhaps selective degradation in sediments, which modifies U K 0 37 (Prahl et al., 2010;Pan and Sun, 2011;Rontani et al., 2013). Since we cannot provide a detailed review of these influences here, please see the respective citations for further details. ...
Article
Full-text available
Quaternary interglacial climates are often used as analogues for how the Antarctic Ice Sheet will respond to future climate warming. Southern Ocean marine sediments provide an important paleoclimate archive in this respect. Sea surface temperature (SST) reconstructions in the Southern Ocean depend exclusively on the fossils or geochemical signatures of planktic organisms, but the strengths of these SST proxies remain poorly quantified in this region. To improve confidence in paleoclimate reconstructions, Part 1 of this two-part study evaluates the reliability of Southern Ocean SST proxies employed at Quaternary glacial-interglacial time scales, focusing on three key potential problems: advection/dispersion, seasonality, and non-thermal influences. We find that foraminifera assemblages and long-chain alkenones likely provide the most reliable SST reconstructions in this region. Diatom assemblages and the Globigerina bulloides Mg/Ca ratio are considered to be 'moderately' reliable. Both are subject to potentially significant non-thermal influences, and diatom assemblages are likely modified by species-dependent advection as they sink to the sea floor. Nevertheless, diatoms are valuable at higher latitudes, since alkenones and foraminifera assemblages lose sensitivity below~1 to 2 C. Dinocyst assemblages, radiolarian assemblages, GDGTs and Neogloboquadrina pachyderma Mg/Ca are considered the least reliable in the Southern Ocean, due to weak calibrations, poorly-constrained non-thermal influences, and/or strong advection bias. We note that the seasonality of all proxies remains poorly constrained. Overall, Southern Ocean SST reconstructions using the recommended proxies and calibrations should be robust when averaging across multiple sites and proxy types, but should be treated with caution when analysing spatial variability, a small number of sites, or a single proxy type. Quantifying the effect of advection should be a priority for all planktic groups employed in Southern Ocean paleoclimate reconstructions.
... Haptophyte algae primarily adapt their cell membrane structure to increasing temperature by reducing the degree of unsaturation, which can be expressed as the relative abundances of C37 di-, tri-and tetraunsaturated alkenones (U K 37, Brassell et al., 1986). However, other limiting factors, such as stress induced from limited nutrients and darkness under ice cover, may result in artificially lower temperature estimates ( Prahl et al., 2006). A number of lacustrine U K 37-temperature calibrations now exist based on core-top ( Zink et al., 2001;Chu et al., 2005), in situ ( Toney et al., 2010;D'Andrea et al., 2011;Wang and Liu, 2013), downcore (D'Andrea et al., 2012) and culturing ( Sun et al., 2007;Toney et al., 2012;Theroux et al., 2013;Nakamura et al., 2013) studies. ...
... Over recent decades, numerous marine sediment core studies have generated surface and bottom water temperature proxy records based on Mg/Ca and δ 18 O of benthic and planktonic foraminifera, calcite wt%, the alkenone unsaturation index (U "# $-) and biotic species assemblages, such as dinoflagellates and diatoms (Andersen et al., 2004;Castañeda et al., 2004;Giraudeau et al., 2004;Smith et al., 2005;Solignac et al., 2006;Bendle and Rosell-Melé, 2007;Justwan et al., 2008;Ran et al., 2008;Ólafsdóttir et al., 2010;Jiang et al., 2015;Moossen et al., 2015;Kristjánsdóttir et al., 2016). Sea surface temperature (SST) proxies derived from phytoplankton result in a bias toward spring/summer SST and are influenced by additional confounding variables (i.e., salinity, nutrients, and depth habitat of biota, e.g., Prahl et al., 2006;Chival et al., 2014), resulting in markedly different Holocene temperature reconstructions around Iceland ( Kristjánsdóttir et al., 2016). As an example, the Little Ice Age (LIA, 1250-1850 CE) is believed to be the coldest multi-centennial climate anomaly of the Holocene in Iceland, yet the coldest Holocene conditions inferred from alkenones ( Kristjánsdóttir et al., 2016), dinocysts ( Solignac et al., 2006) and diatoms (Andersen et al., 2004;Justwan et al., 2008) occur earlier, between 4 and 2 ka. ...
Thesis
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Iceland’s position at the confluence of major oceanic and atmospheric fronts results in a highly sensitive climate evident in both instrumental and paleo records. However, open questions still remain regarding the pre-instrumental evolution of climate, glacier, and volcanic activity at this hemispherically relevant location. This dissertation capitalizes on and merges a range of analytical techniques in an effort to refine our understanding of Icelandic climate variability, glacier extent, and tephrochronology during the Holocene epoch, with a focus on Northwest Iceland. In order to provide robust age control in our records, this research required the development of a tephrochronological framework for West Iceland, a region that lacks the otherwise widely-dispersed rhyolitic marker tephras. Glacier proxies (threshold lake sediment records and emerging dead vegetation from receding ice margins) provide firm constraints on the Holocene activity of Drangajökull, an ice cap in northwest Iceland, and high-resolution lake sediment proxy records (TOC, δ13C, C/N and biogenic silica) collected adjacent to the glacier elucidate the concomitant climate. Furthermore, we explore two lipid biomarker paleothermometers (alkenones and branched glycerol dialkyl glycerol tetraether, GDGTs) in one of these lakes and its catchment soils for the first time in Iceland to quantify the evolution of Holocene summer temperature. Similar to other Icelandic ice cap histories, our records collectively illustrate that a warm early Holocene (2 to 5 oC above modern) likely resulted in the complete demise of Drangajökull shortly after 9 ka. Subsequent to peak early Holocene summer warmth, lake sediment climate proxies indicate punctuated declines in algal productivity and increases in soil erosion alongside steadily decreasing northern hemisphere (NH) summer insolation. As summers continued to cool, Drangajökull re-nucleated by ~2.3 ka and episodically expanded to its maximum dimension during the Little Ice Age (0.7-0.1 ka), when summer temperatures are estimated to be ~1 oC below modern. Triggers for cold anomalies are linked to variable combinations of freshwater pulses from waning Pleistocene ice sheets, low total solar irradiance, explosive and effusive volcanism, and internal modes of climate variability, with cooling likely sustained by ocean/sea-ice feedbacks. In addition to the lake record, GDGTs were also applied in two other settings: a Holocene soil archive in central Iceland and in the marine realm along the North Iceland Shelf. For the latter, we also developed an Icelandic GDGT-temperature calibration based on marine surface sediment that highlights the reduced uncertainty (± 0.4 oC) achievable for local rather than global calibrations (e.g., ± 4.0 oC). Local calibrations are particularly important for areas where the temperature relationship of GDGTs deviates from the overall linear correlation observed in global calibrations (i.e., cold and warm regions), such as Iceland. Although clearly reflected in the maximum dimensions of Drangajökull, the Little Ice Age cooling is obscured in all lake, soil and marine organic geochemical records investigated in this dissertation. For the former two, the erosion of older soils, nutrients and relic GDGTs likely compromise the records and imply warmth. On the other hand, the development of thick sea ice inferred from highly branched isoprenoid biomarkers on the North Iceland Shelf insulated the subsurface waters during the peak Little Ice Age, likely preventing the ventilation of heat from below the surface layer to the atmosphere. This dissertation provides critical and nuanced observations necessary for evaluating modeling simulations aiming to forecast the poorly constrained climate of the coming century.
... This depth is then used to calculate the average irradiance value for a given sediment sample. This choice of production depth is consistent with the very strong correlation between surface ocean temperatures and alkenone unsaturation ratios in surface sediments (Kienast et al., 2012;Müller et al., 1998;Prahl et al., 2006;Sikes et al., 1991Sikes et al., , 1997Sonzogni et al., 1997;Tierney & Tingley, 2018), although there is evidence for alkenone production below the mixed layer but within the photic zone (Ohkouchi et al., 1999;Wolhowe et al., 2014). We further discuss the prescribed production depth in Section 3.4.2. ...
Article
Full-text available
Carbon isotope records from alkenone biomarkers (εp37:2) produced by haptophyte algae are frequently used for atmospheric CO2 paleobarometry, but this method has yielded inconsistent results during periods where CO2 variations are known independently. Recent syntheses of algal cultures have quantitatively demonstrated that εp37:2 indeed records CO2 information: εp37:2 increases as aqueous CO2 concentrations increase relative to carbon demand. However, interpretations of εp37:2 are complicated by irradiance, where higher irradiance yields higher εp37:2. Here we examine the roles of physiology and environment in setting εp37:2 in the ocean. We compile water‐column and sediment core‐top εp37:2 data and add new core‐top measurements, including estimates of cell sizes and growth rates of the alkenone‐producing population. In support of culture studies, we find irradiance to be a key control on εp37:2 in the modern ocean. We test a culture‐derived model of εp37:2 and find that the quantitative relationships calibrated in culture experiments can be used to predict εp37:2 in sediment samples. In water‐column samples, the model substantially overestimates εp37:2, largely resulting from higher irradiance at the depth of sample collection than the integrated light conditions under which the sampled biomass was produced and vertically mixed to the collection depth. We argue that the theory underpinning the conventional diffusive alkenone carbon isotope fractionation model, including the “b” parameter, is not supported by field data and should not be used to reconstruct past CO2 changes. Future estimates of CO2 from εp37:2 should use empirical or mechanistic models to quantitatively account for irradiance and cell size variations.
... The 37 k E U  temperature calibrated with recent sediment samples and tested with culture studies for modern LCAs strains is widely assumed to yield accurate temperatures for earlier times in the Cenozoic. However, it has been proposed that non-thermal factors such as haptophyte algae assemblage composition or surface ocean productivity could affect the long chain alkenone distribution and abundances and, therefore, could bias the initial alkenone-derived SST reconstruction (Conte et al., 1998;Prahl et al., 2006) since 37 k E U  is calibrated to specific environment strains. Particularly for marginal ocean environments, it is proposed that environments with strongly contrasting salinity may host different alkenone-producing strains (Kaiser et al., 2017;Longo et al., 2016). ...
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... The 37 k E U  temperature calibrated with recent sediment samples and tested with culture studies for modern LCAs strains is widely assumed to yield accurate temperatures for earlier times in the Cenozoic. However, it has been proposed that non-thermal factors such as haptophyte algae assemblage composition or surface ocean productivity could affect the long chain alkenone distribution and abundances and, therefore, could bias the initial alkenone-derived SST reconstruction (Conte et al., 1998;Prahl et al., 2006) since 37 k E U  is calibrated to specific environment strains. Particularly for marginal ocean environments, it is proposed that environments with strongly contrasting salinity may host different alkenone-producing strains (Kaiser et al., 2017;Longo et al., 2016). ...
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