Ho, Sze Ling; Mollenhauer, Gesine; Fietz, Susanne; Martínez‐García, Alfredo; Lamy, Frank; Rueda, Gemma; Schipper, Konstanze; Méheust, Marie; Rosell-Melé, Antoni; Stein, Ruediger; Tiedemann, Ralf (2014): Sediment core-top GDGT data from the Arctic, the North Pacific and the Southern Ocean [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.832467, Supplement to: Ho, SL et al. (2014): Appraisal of TEX86 and TEX(L)86 thermometries in subpolar and polar regions. Geochimica et Cosmochimica Acta, 131, 213-226, https://doi.org/10.1016/j.gca.2014.01.001
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Published: 2014-05-12 • DOI registered: 2014-06-10
Abstract:
TEX86 (TetraEther indeX of tetraethers consisting of 86 carbon atoms) is a sea surface temperature (SST) proxy based on the distribution of archaeal isoprenoid glycerol dialkyl glycerol tetraethers (GDGTs). In this study, we appraise the applicability of TEX86 and TEX86L in subpolar and polar regions using surface sediments. We present TEX86 and TEX86L data from 160 surface sediment samples collected in the Arctic, the Southern Ocean and the North Pacific. Most of the SST estimates derived from both TEX86 and TEX86L are anomalously high in the Arctic, especially in the vicinity of Siberian river mouths and the sea ice margin, plausibly due to additional archaeal contributions linked to terrigenous input. We found unusual GDGT distributions at five sites in the North Pacific. High GDGT-0/crenarchaeol and GDGT-2/crenarchaeol ratios at these sites suggest a substantial contribution of methanogenic and/or methanotrophic archaea to the sedimentary GDGT pool here. Apart from these anomalous findings, TEX86 and TEX86L values in the surface sediments from the Southern Ocean and the North Pacific do usually vary with overlaying SSTs. In these regions, the sedimentary TEX86-SST relationship is similar to the global calibration, and the derived temperature estimates agree well with overlaying annual mean SSTs at the sites. However, there is a systematic offset between the regional TEX86L-SST relationships and the global calibration. At these sites, temperature estimates based on the global TEX86L calibration are closer to summer SSTs than annual mean SSTs. This finding suggests that in these subpolar settings a regional TEX86L calibration may be a more suitable equation for temperature reconstruction than the global calibration.
Project(s):
Funding:
German Research Foundation (DFG), grant/award no. 5472008: Priority Programme 1158 Antarctic Research with Comparable Investigations in Arctic Sea Ice Areas
Coverage:
Median Latitude: 23.875183 * Median Longitude: 149.301698 * South-bound Latitude: -68.730300 * West-bound Longitude: 2.842400 * North-bound Latitude: 88.675200 * East-bound Longitude: -3.984200
Date/Time Start: 1992-09-18T16:34:00 * Date/Time End: 2010-01-24T01:33:00
Minimum DEPTH, sediment/rock: 0 m * Maximum DEPTH, sediment/rock: 0 m
Event(s):
BP00-02 * Latitude: 75.401900 * Longitude: 74.003283 * Date/Time: 2000-09-04T05:53:00 * Elevation: -49.6 m * Location: Kara Sea * Campaign: BP00 * Basis: Akademik Boris Petrov * Method/Device: Multiple investigations (MULT)
BP00-26 * Latitude: 75.708533 * Longitude: 77.959817 * Date/Time: 2000-09-15T07:20:00 * Elevation: -68.0 m * Location: Kara Sea * Campaign: BP00 * Basis: Akademik Boris Petrov * Method/Device: Multiple investigations (MULT)
BP00-36/04 * Latitude: 76.961783 * Longitude: 81.963167 * Date/Time: 2000-09-19T03:35:00 * Elevation: -66.0 m * Recovery: 5.63 m * Location: Kara Sea * Campaign: BP00 * Basis: Akademik Boris Petrov * Method/Device: Gravity corer (GC)
Parameter(s):
# | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
---|---|---|---|---|---|---|
1 | Event label | Event | ||||
2 | Method/Device of event | Method/Device | ||||
3 | Area/locality | Area | ||||
4 | Latitude of event | Latitude | ||||
5 | Longitude of event | Longitude | ||||
6 | Elevation of event | Elevation | m | |||
7 | DEPTH, sediment/rock | Depth sed | m | Geocode | ||
8 | Acyclic glycerol dialkyl glycerol tetraether, fractional abundance | GDGT-0 | Ho, Sze Ling | fractional abundance = GDGT-0/(GDGT-0 + GDGT-1 + GDGT-2 + GDGT-3 + Crenarchaeol + Crenarchaeol regio-isomer) | ||
9 | Monocyclic glycerol dialkyl glycerol tetraether, fractional abundance | GDGT-1 | Ho, Sze Ling | fractional abundance = GDGT-1/(GDGT-0 + GDGT-1 + GDGT-2 + GDGT-3 + Crenarchaeol + Crenarchaeol regio-isomer) | ||
10 | Dicyclic glycerol dialkyl glycerol tetraether, fractional abundance | GDGT-2 | Ho, Sze Ling | fractional abundance = GDGT-2/(GDGT-0 + GDGT-1 + GDGT-2 + GDGT-3 + Crenarchaeol + Crenarchaeol regio-isomer) | ||
11 | Tricyclic glycerol dialkyl glycerol tetraether, fractional abundance | GDGT-3 | Ho, Sze Ling | fractional abundance = GDGT-3/(GDGT-0 + GDGT-1 + GDGT-2 + GDGT-3 + Crenarchaeol + Crenarchaeol regio-isomer) | ||
12 | Crenarchaeol, fractional abundance | Cren | Ho, Sze Ling | fractional abundance = Crenarchaeol/(GDGT-0 + GDGT-1 + GDGT-2 + GDGT-3 + Crenarchaeol + Crenarchaeol regio-isomer) | ||
13 | Crenarchaeol regio-isomer, fractional abundance | Cren' | Ho, Sze Ling | fractional abundance = Crenarchaeol regio-isomer/(GDGT-0 + GDGT-1 + GDGT-2 + GDGT-3 + Crenarchaeol + Crenarchaeol regio-isomer) |
License:
Creative Commons Attribution 3.0 Unported (CC-BY-3.0)
Size:
1127 data points