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de Bar, Marijke W; Dorhout, Denise J C; Hopmans, Ellen C; Rampen, Sebastiaan W; Sinninghe Damsté, Jaap S (2019): Long chain diols and diol indices of surface sediments of the Iberian Atlantic margin (Version 2, 2019-01-25) [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.897673, Supplement to: de Bar, Marijke W; Dorhout, Denise J C; Hopmans, Ellen C; Rampen, Sebastiaan W; Sinninghe Damsté, Jaap S; Schouten, Stefan (2016): Constraints on the application of long chain diol proxies in the Iberian Atlantic margin. Organic Geochemistry, 101, 184-195, https://doi.org/10.1016/j.orggeochem.2016.09.005

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Abstract:
Long chain diols are lipids that have gained interest over the last years due to their high potential to serve as biomarkers and diol indices have been proposed to reconstruct upwelling conditions and sea surface temperature (SST). However, little is known about the sources of the diols and the mechanisms impacting their distribution. Here we studied the factors controlling diol distributions in the Iberian Atlantic margin, which is characterized by a dynamic continental shelf under the influence of upwelling of nutrient-rich cold deep waters, and fluvial input. We analyzed suspended particulate matter (SPM) of the Tagus river, marine SPM and marine surface sediments along five transects off the Iberian margin, as well as riverbank sediments and soil from the catchment area of the Tagus river. Relatively high fractional abundances of the C32 1,15-diol (normalized with respect to the 1,13- and 1,15-diols) were observed in surface sediments in front of major river mouths and this abundance correlates strongly with the BIT index, a tracer for continental input of organic carbon. Together with an even higher fractional abundance of the C32 1,15-diol in the Tagus river SPM, and the absence of long chain diols in the watershed riverbank sediments and soils, we suggest that this long chain diol is produced in-situ in the river. Further support for this hypothesis comes from the small but distinct stable carbon isotopic difference of 1.3‰ with the marine C28 1,13-diol. The 1,14-diols are relatively abundant in surface sediments directly along the northern part of the coast, close to the upwelling zone, suggesting that Diol Indices based on 1,14-diols would work well as upwelling tracers in this region. Strikingly, we observed a significant difference in stable carbon isotopic composition between the monounsaturated C30:1 1,14- and the saturated C28 1,14-diol (3.8±0.7‰), suggesting different sources, in accordance with their different distributions. In addition, the Long chain Diol Index (LDI), a proxy for sea surface temperature, was applied for the surface sediments. The results correlate well with satellite SSTs offshore but reveal a significant discrepancy with satellite-derived SSTs in front of the Tagus and Sado rivers. This suggests that river outflow might compromise the applicability of this proxy.
Related to:
Zell, Claudia; Kim, Jung-Hyun; Hollander, David J; Lorenzoni, Laura; Baker, Paul A; Silva, Cleverson Guizan; Nittrouer, Charles A; Sinninghe Damsté, Jaap S (2014): Sources and distributions of branched and isoprenoid tetraether lipids on the Amazon shelf and fan: Implications for the use of GDGT-based proxies in marine sediments. Geochimica et Cosmochimica Acta, 139, 293-312, https://doi.org/10.1016/j.gca.2014.04.038
Zell, Claudia; Kim, Jung-Hyun; Moreira-Turcq, Patricia; Abril, Gwenaël; Hopmans, Ellen C; Bonnet, Marie-Paule; de Lima Sobrinho, Rodrigo; Sinninghe Damsté, Jaap S (2013): Disentangling the origins of branched tetraether lipids and crenarchaeol in the lower Amazon River: Implications for GDGT-based proxies. Limnology and Oceanography, 58(1), 343-353, https://doi.org/10.4319/lo.2013.58.1.0343
Coverage:
Median Latitude: 39.485969 * Median Longitude: -9.430438 * South-bound Latitude: 38.226000 * West-bound Longitude: -10.216000 * North-bound Latitude: 41.243000 * East-bound Longitude: -8.695000
Date/Time Start: 2011-07-12T00:00:00 * Date/Time End: 2012-05-24T00:00:00
Minimum Elevation: -2432.0 m * Maximum Elevation: -15.3 m
Event(s):
64PE332-1_3  * Latitude: 41.134000 * Longitude: -8.695000 * Date/Time: 2011-03-14T14:08:00 * Elevation: -15.3 m * Location: Portuguese Margin * Campaign: 64PE332 (Pacemaker) * Basis: Pelagia * Method/Device: MultiCorer (MUC)
64PE332-3_7  * Latitude: 41.136000 * Longitude: -9.612000 * Date/Time: 2011-03-16T08:01:00 * Elevation: -1989.0 m * Location: Portuguese Margin * Campaign: 64PE332 (Pacemaker) * Basis: Pelagia * Method/Device: MultiCorer (MUC)
64PE332-4_1  * Latitude: 41.132000 * Longitude: -9.371000 * Date/Time: 2011-03-16T12:50:00 * Elevation: -1006.9 m * Location: Portuguese Margin * Campaign: 64PE332 (Pacemaker) * Basis: Pelagia * Method/Device: MultiCorer (MUC)
Size:
401 data points

Data

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Event

Latitude

Longitude

Elevation [m]

Transect

Sample ID

Depth water [m]

Date/Time

Depth sed [m]
10 
C28 1,14-diol
11 
C28 1,13-diol
12 
C30 1,15-diol
13 
C30 1,14-diol
14 
C30:1 1,14-diol
15 
C30 1,13-diol
16 
C32 1,15-diol
17 
C32 1,17-diol
18 
LDI
(Calculated after Rampen et al...)
19 
Upw index
(Calculated after Rampen et al...)
20 
Upw index
(Calculated after Willmott et ...)
21 
NDI
64PE332-1_3 41.13-8.70-15I100.070.100.500.190.050.100.460.840.82
64PE332-7_2 41.15-8.87-51I200.050.120.500.200.050.080.550.800.83
64PE332-9_1 41.24-9.06-104I300.170.220.360.110.100.050.450.620.58
64PE332-6_1 41.13-9.09-110I400.190.240.400.120.060.440.630.57
64PE332-5_2 41.13-9.35-506I500.150.480.250.120.090.620.340.45
64PE332-4_1 41.13-9.37-1007I600.190.400.240.110.060.570.380.45
64PE332-3_7 41.14-9.61-1989I700.170.430.240.090.060.630.360.48
64PE332-11_2 40.13-8.97-28II100.130.910.87
64PE332-12_1 40.13-9.25-108II200.130.250.400.120.090.500.610.61
64PE332-13_3 40.13-9.70-505II300.150.520.170.090.070.690.250.42
64PE332-14_4 40.13-9.82-981II400.030.160.440.230.090.060.630.360.490.03
64PE332-15_1 40.13-9.97-1808II500.210.400.260.080.050.580.390.47
64PE332-24_2 38.95-9.46-41III100.020.060.170.430.170.070.080.580.720.780.01
64PE332-17_2 38.93-9.48-48III200.110.210.520.070.080.540.710.74
64PE332-18_5 39.03-9.67-116III300.020.130.280.340.090.090.050.560.560.620.02
64PE332-25_2 38.97-9.64-119III400.030.180.280.330.030.090.060.510.560.570.03
64PE332-26_2 39.01-10.00-259III500.170.450.200.120.060.610.310.42
64PE332-332_EM30224 39.26-10.00-308III600.160.500.170.100.070.660.250.39
64PE332-22_5 39.34-10.13-1100III700.030.150.470.200.100.070.660.320.480.03
64PE332-23_2 39.42-10.22-1980III800.040.170.470.230.070.060.660.360.520.04
64PE332-27_3 38.61-9.36-20IV100.180.220.240.130.230.420.520.44
64PE332-29_2 38.58-9.37-48IV200.100.180.310.130.090.190.490.630.62
64PE332-30_1 38.65-9.47-81IV300.180.250.350.120.100.450.580.54
64PE332-28_7 38.56-9.37-95IV400.250.250.290.120.100.400.540.44
64PE332-31_2 38.42-9.42-478IV500.240.330.230.130.070.470.410.38
64PE332-33_1 38.39-9.43-1052IV600.030.180.350.250.110.070.540.450.490.03
64PE332-36_3 38.23-9.48-2432IV700.040.130.400.260.100.080.640.430.570.04
64PE332-34_2 38.45-8.99-48V100.030.130.170.360.110.100.100.420.700.630.03
64PE332-38_1 38.42-9.06-98V200.280.230.300.110.110.380.560.44
64PE332-37_2 38.34-9.24-516V300.030.190.340.260.110.070.530.460.490.03
64PE332-40_1 38.33-9.26-979V400.030.190.380.230.100.070.570.410.480.04
Tagus 38.95-8.992011-07-1200.470.010.020.250.240.030.39
Tagus38.95-8.992011-09-1600.410.030.050.340.170.060.36
Tagus38.95-8.992011-10-1800.410.020.050.300.210.050.34
Tagus38.95-8.992011-11-2200.290.020.080.480.130.070.20
Tagus38.95-8.992011-12-1600.340.040.070.410.140.100.35
Tagus38.95-8.992012-01-1600.390.500.11
Tagus38.95-8.992012-02-1700.350.040.060.360.200.090.38
Tagus38.95-8.992012-03-1600.360.020.040.350.230.060.36
Tagus38.95-8.992012-04-1200.320.030.030.340.270.080.45
Tagus38.95-8.992012-05-2400.410.030.040.280.240.080.49