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  • 64PE332; 64PE332-1_3; 64PE332-11_2; 64PE332-12_1; 64PE332-13_3; 64PE332-14_4; 64PE332-15_1; 64PE332-17_2; 64PE332-18_5; 64PE332-22_5; 64PE332-23_2; 64PE332-24_2; 64PE332-25_2; 64PE332-26_2; 64PE332-27_3; 64PE332-28_7; 64PE332-29_2; 64PE332-3_7; 64PE332-30_1; 64PE332-31_2; 64PE332-33_1; 64PE332-332_EM30224; 64PE332-34_2; 64PE332-36_3; 64PE332-37_2; 64PE332-38_1; 64PE332-4_1; 64PE332-40_1; 64PE332-5_2; 64PE332-6_1; 64PE332-7_2; 64PE332-9_1; BC; Box corer; Calculated after Rampen et al. (2008); Calculated after Rampen et al. (2012); Calculated after Willmott et al. (2010); DATE/TIME; DEPTH, sediment/rock; DEPTH, water; Diol upwelling index; Elevation of event; Event label; Latitude of event; Long chain diol, C28 1,13-diol, fractional abundance; Long chain diol, C28 1,14-diol, fractional abundance; Long chain diol, C30:1 1,14-diol, fractional abundance; Long chain diol, C30 1,13-diol, fractional abundance; Long chain diol, C30 1,14-diol, fractional abundance; Long chain diol, C30 1,15-diol, fractional abundance; Long chain diol, C32 1,15-diol, fractional abundance; Long chain diol, C32 1,17-diol, fractional abundance; Long chain diol index; Longitude of event; MUC; MultiCorer; Pacemaker; Pelagia; Portuguese Margin; Sample ID; Tagus; Transect  (1)
  • Bass_River_Site; BR; DRILL; Drilling/drill rig; Leg174AX; NIOZ_UU; NIOZ Royal Netherlands Institute for Sea Research, and Utrecht University; North American East Coast; Ocean Drilling Program; ODP  (1)
  • 2015-2019  (2)
Document type
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  • 2015-2019  (2)
Year
  • 1
    Publication Date: 2024-02-16
    Description: 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 per mil 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 per mil), 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.
    Keywords: 64PE332; 64PE332-1_3; 64PE332-11_2; 64PE332-12_1; 64PE332-13_3; 64PE332-14_4; 64PE332-15_1; 64PE332-17_2; 64PE332-18_5; 64PE332-22_5; 64PE332-23_2; 64PE332-24_2; 64PE332-25_2; 64PE332-26_2; 64PE332-27_3; 64PE332-28_7; 64PE332-29_2; 64PE332-3_7; 64PE332-30_1; 64PE332-31_2; 64PE332-33_1; 64PE332-332_EM30224; 64PE332-34_2; 64PE332-36_3; 64PE332-37_2; 64PE332-38_1; 64PE332-4_1; 64PE332-40_1; 64PE332-5_2; 64PE332-6_1; 64PE332-7_2; 64PE332-9_1; BC; Box corer; Calculated after Rampen et al. (2008); Calculated after Rampen et al. (2012); Calculated after Willmott et al. (2010); DATE/TIME; DEPTH, sediment/rock; DEPTH, water; Diol upwelling index; Elevation of event; Event label; Latitude of event; Long chain diol, C28 1,13-diol, fractional abundance; Long chain diol, C28 1,14-diol, fractional abundance; Long chain diol, C30:1 1,14-diol, fractional abundance; Long chain diol, C30 1,13-diol, fractional abundance; Long chain diol, C30 1,14-diol, fractional abundance; Long chain diol, C30 1,15-diol, fractional abundance; Long chain diol, C32 1,15-diol, fractional abundance; Long chain diol, C32 1,17-diol, fractional abundance; Long chain diol index; Longitude of event; MUC; MultiCorer; Pacemaker; Pelagia; Portuguese Margin; Sample ID; Tagus; Transect
    Type: Dataset
    Format: text/tab-separated-values, 390 data points
    Location Call Number Limitation Availability
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  • 2
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    PANGAEA
    In:  Supplement to: de Bar, Marijke W; Rampen, Sebastiaan W; Hopmans, Ellen C; Sinninghe Damsté, Jaap S; Schouten, Stefan (2019): Constraining the applicability of organic paleotemperature proxies for the last 90 Myrs. Organic Geochemistry, 128, 122-136, https://doi.org/10.1016/j.orggeochem.2018.12.005
    Publication Date: 2024-01-09
    Description: We evaluated changes in the distributions of long-chain alkenones, long-chain diols and GDGTs, lipids commonly used for paleothermometry, over the last 90 Myrs for sediments deposited on the New Jersey shelf (the Bass River site) and assessed potential effects of different ancestral producers and diagenesis on their distributions and their impact on the associated temperature proxies. As reported before, the Paleogene distributions of alkenones are generally similar to those in haptophytes, but unusual alkenone distributions, characterized by a dominant di-unsaturated C40 alkenone, are observed for Late Cretaceous sediments, suggesting different ancestral source organisms for alkenones in this interval. The isoprenoid GDGT distributions remained comparable to modern-day distributions, suggesting that the TEX86 can be applied up to ca. 90 Ma. The Miocene long-chain diol distributions are similar to modern-day distributions, but the older sediments reveal unusual distributions, dominated by the C28 1,12- and C26 1,13-diols, suggesting different source organisms before ~30 Ma. Accordingly, the LDI does not match other paleotemperature proxies, suggesting its applicability might be compromised for sediments older than the Miocene. Our results indicate that of the three proxies, the TEX86 seems to be the most applicable for deep time temperature reconstructions.
    Keywords: Bass_River_Site; BR; DRILL; Drilling/drill rig; Leg174AX; NIOZ_UU; NIOZ Royal Netherlands Institute for Sea Research, and Utrecht University; North American East Coast; Ocean Drilling Program; ODP
    Type: Dataset
    Format: application/zip, 4 datasets
    Location Call Number Limitation Availability
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