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Ceccopieri, Milena; Carreira, Renato S; Wagener, Angela L R; Hefter, Jens; Mollenhauer, Gesine (2019): Alkenone- and GDGT-based temperature proxies in surface sediments in the south-eastern Brazilian continental margin (Campos Basin). PANGAEA, https://doi.org/10.1594/PANGAEA.897888, Supplement to: Ceccopieri, M et al. (2018): On the application of alkenone- and GDGT-based temperature proxies in the south-eastern Brazilian continental margin. Organic Geochemistry, 126, 43-56, https://doi.org/10.1016/j.orggeochem.2018.10.009

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Abstract:
The applicability of two organic geochemical proxies (UK'37 based on alkenones and TEXH86 based on glycerol dialkyl glycerol tetraethers) for ocean temperatures was investigated on a regional scale in the SE Brazilian continental margin (Campos Basin) using 53 core-top sediments. In 71% of the samples for UK'37 and 85% for TEXH86, the estimated annual mean sea surface temperature (SST) is comparable to the climatological annual mean data, with deviations within the calibration error. The surface TEXH86 estimates reflects the surface mixed layer, while the depth-integrated (0-200 m) TEXH86 estimates showed better agreement with temperatures at 100-200 mdepth. In addition, the SST-UK'37 results were more consistent (73% of the samples) using a winter calibration rather than an annual mean calibration. This seasonal effect might be ascribed to an increase in the abundance of haptophytes in the region during the winter. Exceptions to these general trends were observed for both proxies as a strong cold bias in reconstructed temperature in a few samples in the southern portion of the studied region, which may be related to (i) a predominant subsurface habitat of Thaumarchaeota combined with enhanced primary production and flux of particles during upwelling and (ii) alkenones being laterally transported from adjacent colder waters. Effects of river input of terrestrially sourced GDGTs on TEXH86 are not evident. Overall, our findings show that UK'37 and TEXH86 are suitable temperature proxies for paleoclimate studies at a regional scale in the SE Brazilian continental margin, but on a local scale the effects of upwelling must be taken in consideration.
Keyword(s):
Cabo Frio upwelling system; Campos Basin; surface sediments; TEXH86; UK'37
Project(s):
Campos Basin Environmental Heterogeneity Project (CENPES/Petrobras) (Habitats)
Coverage:
Median Latitude: -22.438747 * Median Longitude: -40.444313 * South-bound Latitude: -24.489300 * West-bound Longitude: -42.014100 * North-bound Latitude: -21.153400 * East-bound Longitude: -38.448100
Minimum DEPTH, sediment/rock: 0.01 m * Maximum DEPTH, sediment/rock: 0.01 m
Event(s):
HAB_A01 (A01)  * Latitude: -22.919300 * Longitude: -42.014100 * Elevation: -25.0 m * Location: South Atlantic Ocean * Campaign: HAB11 (Campos Basin Environmental Heterogeneity Project (CENPES/Petrobras)) * Basis: Miss Emma McCall * Method/Device: van Veen Grab, modified (VGRABM) * Comment: summer 2009 (2009-01-05 -2009-03-17)
HAB_A02 (A02)  * Latitude: -22.934600 * Longitude: -41.897900 * Elevation: -50.0 m * Location: South Atlantic Ocean * Campaign: HAB11 (Campos Basin Environmental Heterogeneity Project (CENPES/Petrobras)) * Basis: Miss Emma McCall * Method/Device: van Veen Grab, modified (VGRABM) * Comment: summer 2009 (2009-01-05 -2009-03-17)
HAB_A03 (A03)  * Latitude: -23.060300 * Longitude: -41.964300 * Elevation: -75.0 m * Location: South Atlantic Ocean * Campaign: HAB11 (Campos Basin Environmental Heterogeneity Project (CENPES/Petrobras)) * Basis: Miss Emma McCall * Method/Device: van Veen Grab, modified (VGRABM) * Comment: summer 2009 (2009-01-05 -2009-03-17)
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
Event labelEventCeccopieri, Milena
DEPTH, sediment/rockDepth sedmCeccopieri, MilenaGeocode
Depth, top/minDepth topmCeccopieri, Milena
Depth, bottom/maxDepth botmCeccopieri, Milena
Sea surface temperature, annual meanSST (1-12)°CCeccopieri, Milenaextracted from the World Ocean Atlas 2013 (WOA13)
Alkenone, unsaturation index UK'37UK'37Ceccopieri, MilenaHigh Performance Liquid Chromatography (HPLC-APCI-MS)
Alkenone per unit sediment massAlkenone/sedng/gCeccopieri, MilenaHigh Performance Liquid Chromatography (HPLC-APCI-MS)Total
Alkenone, per unit mass total organic carbonAlkenone/TOCµg/gCeccopieri, MilenaHigh Performance Liquid Chromatography (HPLC-APCI-MS)Total
Tetraether index of 86 carbon atomsTEX86Ceccopieri, MilenaHigh Performance Liquid Chromatography (HPLC-APCI-MS)
10 Isoprenoid glycerol dialkyl glycerol tetraether, per unit sediment massiso GDGT/sedng/gCeccopieri, MilenaHigh Performance Liquid Chromatography (HPLC-APCI-MS)Total
11 Isoprenoid glycerol dialkyl glycerol tetraether, per unit mass total organic carboniso GDGT/TOCµg/gCeccopieri, MilenaHigh Performance Liquid Chromatography (HPLC-APCI-MS)Total
12 Acyclic glycerol dialkyl glycerol tetraether, fractional abundanceGDGT-0Ceccopieri, MilenaHigh Performance Liquid Chromatography (HPLC-APCI-MS)
13 Monocyclic glycerol dialkyl glycerol tetraether, fractional abundanceGDGT-1Ceccopieri, MilenaHigh Performance Liquid Chromatography (HPLC-APCI-MS)
14 Dicyclic glycerol dialkyl glycerol tetraether, fractional abundanceGDGT-2Ceccopieri, MilenaHigh Performance Liquid Chromatography (HPLC-APCI-MS)
15 Tricyclic glycerol dialkyl glycerol tetraether, fractional abundanceGDGT-3Ceccopieri, MilenaHigh Performance Liquid Chromatography (HPLC-APCI-MS)
16 Crenarchaeol, fractional abundanceCrenCeccopieri, MilenaHigh Performance Liquid Chromatography (HPLC-APCI-MS)
17 Crenarchaeol isomer, fractional abundanceCren isoCeccopieri, MilenaHigh Performance Liquid Chromatography (HPLC-APCI-MS)
Size:
745 data points

Data

Download dataset as tab-delimited text — use the following character encoding:


Event

Depth sed [m]

Depth top [m]

Depth bot [m]

SST (1-12) [°C]

UK'37

Alkenone/sed [ng/g]

Alkenone/TOC [µg/g]

TEX86
10 
iso GDGT/sed [ng/g]
11 
iso GDGT/TOC [µg/g]
12 
GDGT-0
13 
GDGT-1
14 
GDGT-2
15 
GDGT-3
16 
Cren
17 
Cren iso
HAB_A01 0.0100.0222.930.8462.3691.790.50144.23212.310.390.060.030.010.500.01
HAB_A02 0.0100.0222.930.86186.61111.060.50348.87207.630.400.070.040.010.460.01
HAB_A03 0.0100.0223.360.861695.85129.430.511769.56135.060.370.080.050.010.470.02
HAB_A04 0.0100.0223.360.861901.68139.430.552496.84183.070.370.070.050.020.460.02
HAB_A05 0.0100.0224.240.881275.59319.520.59501.74125.680.310.090.080.020.480.03
HAB_A06 0.0100.0224.240.901000.19193.130.611113.93215.100.320.080.070.020.470.04
HAB_A07 0.0100.0224.240.872560.28202.600.651980.45156.720.320.080.080.010.470.04
HAB_A08 0.0100.0224.240.901380.96136.610.641682.50166.430.320.080.080.020.460.04
HAB_A09 0.0100.0224.430.911370.35213.600.62679.24105.870.330.080.090.020.450.04
HAB_A10 0.0100.0224.570.91407.0359.720.63554.1781.300.330.090.090.020.430.04
HAB_A11 0.0100.0224.790.91212.3246.840.63429.7794.820.330.090.100.010.420.04
HAB_A12 0.0100.0224.880.92125.3143.960.63292.96102.780.330.100.110.010.400.05
HAB_B1 0.0100.0222.690.790.491589.94126.130.360.070.040.010.510.01
HAB_B2 0.0100.0222.690.51504.29228.970.390.070.050.010.470.01
HAB_B3 0.0100.0223.370.760.57253.63139.240.330.070.060.020.510.02
HAB_B4 0.0100.0224.030.790.62296.1467.270.270.080.080.020.500.03
HAB_B5 0.0100.0224.030.730.63258.0063.490.270.080.090.030.510.03
HAB_B6 0.0100.0224.330.780.621817.03111.050.310.080.080.020.480.03
HAB_B7 0.0100.0224.330.840.611754.04111.800.320.080.070.020.480.03
HAB_B8 0.0100.0224.330.840.632142.87131.160.320.080.080.020.460.04
HAB_B9 0.0100.0224.490.810.651129.7397.600.310.080.090.020.450.04
HAB_B10 0.0100.0224.490.700.66327.7845.840.310.080.090.010.460.04
HAB_B11 0.0100.0224.700.890.68286.1373.460.310.070.100.010.460.05
HAB_B12 0.0100.0225.020.68174.6483.840.300.080.110.010.460.05
HAB_G03 0.0100.0224.870.93177.6475.070.59371.12156.830.280.090.080.020.500.03
HAB_G04 0.0100.0224.870.60428.33150.610.290.100.090.030.470.03
HAB_G05 0.0100.0224.870.93150.1776.050.60232.78117.890.290.090.080.030.480.03
HAB_G07 0.0100.0225.080.91674.33197.680.60445.73130.670.330.090.080.020.460.03
HAB_G08 0.0100.0225.080.90803.58101.550.64896.15113.250.330.080.090.020.440.04
HAB_G09 0.0100.0225.080.91721.64126.900.62537.8894.590.340.080.080.020.450.04
HAB_G10 0.0100.0225.250.92526.0688.470.62319.9253.800.300.090.090.020.480.04
HAB_G11 0.0100.0225.470.93110.1028.620.68298.5677.620.330.080.110.010.430.04
HAB_G12 0.0100.0225.560.9419.0615.360.59108.8187.700.360.080.070.010.450.04
HAB_H1 0.0100.0224.380.890.65859.800.300.080.080.020.480.04
HAB_H2 0.0100.0224.680.900.66860.37318.660.300.080.090.020.480.04
HAB_H3 0.0100.0224.940.860.61357.6297.020.250.080.070.020.550.03
HAB_H4 0.0100.0224.940.850.63249.2778.690.260.070.080.020.540.03
HAB_H5 0.0100.0224.940.890.62312.4596.420.270.070.070.020.530.03
HAB_H6 0.0100.0224.940.900.64633.8496.300.280.080.080.020.510.04
HAB_H7 0.0100.0224.940.900.66731.4679.620.300.070.080.020.490.04
HAB_H10 0.0100.0225.330.910.65238.5444.450.310.080.090.010.470.04
HAB_H11 0.0100.0225.540.920.68129.4349.140.300.080.100.010.460.04
HAB_H12 0.0100.0225.640.810.625.857.380.210.070.080.020.590.02
HAB_I02 0.0100.0224.760.93155.3546.210.62331.2298.520.260.070.070.030.540.02
HAB_I04 0.0100.0224.900.93199.0545.030.63389.1088.020.270.070.070.030.530.03
HAB_I05 0.0100.0224.760.92557.4491.210.62786.66128.720.270.070.070.020.540.03
HAB_I06 0.0100.0224.900.931339.2998.220.592058.60150.970.310.100.080.020.460.03
HAB_I07 0.0100.0225.140.931642.66145.590.631436.40127.310.340.080.080.020.450.03
HAB_I08 0.0100.0225.140.911319.60129.110.631164.18113.900.310.080.080.010.480.04
HAB_I09 0.0100.0225.140.91866.4899.720.62791.5591.090.330.080.080.020.450.04
HAB_I10 0.0100.0225.470.92247.0552.400.65273.7058.050.320.080.090.010.450.04
HAB_I11 0.0100.0225.650.9492.8238.060.65254.69104.440.320.090.100.010.430.04
HAB_I12 0.0100.0225.720.9532.5429.200.63210.60188.970.340.080.090.010.450.03