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  • Center for Marine Environmental Sciences; MARUM; Ocean Drilling Program; ODP  (2)
  • Ocean Drilling Program; ODP  (2)
  • 11; AFRIDEEP; Beckman Coulter Laser diffraction particle size analyzer LS 200; Center for Marine Environmental Sciences; DEPTH, sediment/rock; GeoB9307-3; Gravity corer (Kiel type); M63/1; MARUM; Meteor (1986); Sambesi Fan; Size fraction 0.412-0.375 µm; Size fraction 0.452-0.412 µm; Size fraction 0.496-0.452 µm; Size fraction 0.545-0.496 µm; Size fraction 0.598-0.545 µm; Size fraction 0.656-0.598 µm; Size fraction 0.721-0.656 µm; Size fraction 0.791-0.721 µm; Size fraction 0.868-0.791 µm; Size fraction 0.948-1.041 mm; Size fraction 0.953-0.868 µm; Size fraction 1.041-1.143 mm; Size fraction 1.047-0.953 µm; Size fraction 1.143-1.255 mm; Size fraction 1.149-1.047 µm; Size fraction 1.255-1.377 mm; Size fraction 1.261-1.149 µm; Size fraction 1.377-1.512 mm; Size fraction 1.384 -1.261 µm; Size fraction 1.512-1.660 mm; Size fraction 1.520-1.384 µm; Size fraction 1.668-1.520 µm; Size fraction 1.822-1.660 mm; Size fraction 1.832-1.668 µm; Size fraction 10.78-9.818 µm; Size fraction 101.1-92.09 µm; Size fraction 11.83-10.78 µm; Size fraction 111.0-101.1 µm; Size fraction 12.99-11.83 µm; Size fraction 121.8-111.0 µm; Size fraction 133.7-121.8 µm; Size fraction 14.26-12.99 µm; Size fraction 146.8-133.7 µm; Size fraction 15.65-14.26 µm; Size fraction 161.2-146.8 µm; Size fraction 17.18-15.65 µm; Size fraction 176.9 -161.2 µm; Size fraction 18.86-17.18 µm; Size fraction 194.2 -176.9 µm; Size fraction 2.000-1.822 mm; Size fraction 2.010-1.832 µm; Size fraction 2.207-2.010 µm; Size fraction 2.423-2.207 µm; Size fraction 2.660-2.423 µm; Size fraction 2.920-2.660 µm; Size fraction 20.70-18.86 µm; Size fraction 213.2-194.2 µm; Size fraction 213.2-234.1 µm; Size fraction 22.73-20.70 µm; Size fraction 234.1-256.8 µm; Size fraction 24.95-22.73 µm; Size fraction 256.8-282.1 µm; Size fraction 27.38-24.95 µm; Size fraction 282.1-309.6 µm; Size fraction 3.205-2.920 µm; Size fraction 3.519-3.205 µm; Size fraction 3.862-3.519 µm; Size fraction 30.07-27.38 µm; Size fraction 309.6-339.8 µm; Size fraction 33.01-30.07 µm; Size fraction 339.8-373.1 µm; Size fraction 36.24-33.01 µm; Size fraction 373.1-409.6 µm; Size fraction 39.77-36.24 µm; Size fraction 4.240-3.863 µm; Size fraction 4.655-4.240 µm; Size fraction 409.6-449.7 µm; Size fraction 43.67-39.78 µm; Size fraction 449.7-493.6 µm; Size fraction 47.94-43.67 µm; Size fraction 493.6-541.9 µm; Size fraction 5.110-4.655 µm; Size fraction 5.610-5.110 µm; Size fraction 52.62-47.94 µm; Size fraction 541.9-594.9 µm; Size fraction 57.77-52.62 µm; Size fraction 594.9-653.0 µm; Size fraction 6.158-5.611 µm; Size fraction 6.761-6.158 µm; Size fraction 63.41-57.77 µm; Size fraction 653.0-716.9 µm; Size fraction 69.62-63.41 µm; Size fraction 7.421-6.760 µm; Size fraction 716.9-786.9 µm; Size fraction 76.42-69.61 µm; Size fraction 786.9-863.9 µm; Size fraction 8.147-7.421 µm; Size fraction 8.943-8.147 µm; Size fraction 83.89-76.42 µm; Size fraction 863.9-948.2 µm; Size fraction 9.818-8.943 µm; Size fraction 92.09-83.90 µm; SL  (1)
  • Radiocarbon
  • 2010-2014  (5)
Document type
Keywords
Publisher
Years
Year
  • 1
    Publication Date: 2023-06-27
    Keywords: 11; AFRIDEEP; Beckman Coulter Laser diffraction particle size analyzer LS 200; Center for Marine Environmental Sciences; DEPTH, sediment/rock; GeoB9307-3; Gravity corer (Kiel type); M63/1; MARUM; Meteor (1986); Sambesi Fan; Size fraction 0.412-0.375 µm; Size fraction 0.452-0.412 µm; Size fraction 0.496-0.452 µm; Size fraction 0.545-0.496 µm; Size fraction 0.598-0.545 µm; Size fraction 0.656-0.598 µm; Size fraction 0.721-0.656 µm; Size fraction 0.791-0.721 µm; Size fraction 0.868-0.791 µm; Size fraction 0.948-1.041 mm; Size fraction 0.953-0.868 µm; Size fraction 1.041-1.143 mm; Size fraction 1.047-0.953 µm; Size fraction 1.143-1.255 mm; Size fraction 1.149-1.047 µm; Size fraction 1.255-1.377 mm; Size fraction 1.261-1.149 µm; Size fraction 1.377-1.512 mm; Size fraction 1.384 -1.261 µm; Size fraction 1.512-1.660 mm; Size fraction 1.520-1.384 µm; Size fraction 1.668-1.520 µm; Size fraction 1.822-1.660 mm; Size fraction 1.832-1.668 µm; Size fraction 10.78-9.818 µm; Size fraction 101.1-92.09 µm; Size fraction 11.83-10.78 µm; Size fraction 111.0-101.1 µm; Size fraction 12.99-11.83 µm; Size fraction 121.8-111.0 µm; Size fraction 133.7-121.8 µm; Size fraction 14.26-12.99 µm; Size fraction 146.8-133.7 µm; Size fraction 15.65-14.26 µm; Size fraction 161.2-146.8 µm; Size fraction 17.18-15.65 µm; Size fraction 176.9 -161.2 µm; Size fraction 18.86-17.18 µm; Size fraction 194.2 -176.9 µm; Size fraction 2.000-1.822 mm; Size fraction 2.010-1.832 µm; Size fraction 2.207-2.010 µm; Size fraction 2.423-2.207 µm; Size fraction 2.660-2.423 µm; Size fraction 2.920-2.660 µm; Size fraction 20.70-18.86 µm; Size fraction 213.2-194.2 µm; Size fraction 213.2-234.1 µm; Size fraction 22.73-20.70 µm; Size fraction 234.1-256.8 µm; Size fraction 24.95-22.73 µm; Size fraction 256.8-282.1 µm; Size fraction 27.38-24.95 µm; Size fraction 282.1-309.6 µm; Size fraction 3.205-2.920 µm; Size fraction 3.519-3.205 µm; Size fraction 3.862-3.519 µm; Size fraction 30.07-27.38 µm; Size fraction 309.6-339.8 µm; Size fraction 33.01-30.07 µm; Size fraction 339.8-373.1 µm; Size fraction 36.24-33.01 µm; Size fraction 373.1-409.6 µm; Size fraction 39.77-36.24 µm; Size fraction 4.240-3.863 µm; Size fraction 4.655-4.240 µm; Size fraction 409.6-449.7 µm; Size fraction 43.67-39.78 µm; Size fraction 449.7-493.6 µm; Size fraction 47.94-43.67 µm; Size fraction 493.6-541.9 µm; Size fraction 5.110-4.655 µm; Size fraction 5.610-5.110 µm; Size fraction 52.62-47.94 µm; Size fraction 541.9-594.9 µm; Size fraction 57.77-52.62 µm; Size fraction 594.9-653.0 µm; Size fraction 6.158-5.611 µm; Size fraction 6.761-6.158 µm; Size fraction 63.41-57.77 µm; Size fraction 653.0-716.9 µm; Size fraction 69.62-63.41 µm; Size fraction 7.421-6.760 µm; Size fraction 716.9-786.9 µm; Size fraction 76.42-69.61 µm; Size fraction 786.9-863.9 µm; Size fraction 8.147-7.421 µm; Size fraction 8.943-8.147 µm; Size fraction 83.89-76.42 µm; Size fraction 863.9-948.2 µm; Size fraction 9.818-8.943 µm; Size fraction 92.09-83.90 µm; SL
    Type: Dataset
    Format: text/tab-separated-values, 6624 data points
    Location Call Number Limitation Availability
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  • 2
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    Unknown
    PANGAEA
    In:  Supplement to: Vallé, Francesca; Dupont, Lydie M; Leroy, Suzanne A G; Schefuß, Enno; Wefer, Gerold (2014): Pliocene environmental change in West Africa and the onset of strong NE trade winds (ODP Sites 659 and 658). Palaeogeography, Palaeoclimatology, Palaeoecology, 414, 403-414, https://doi.org/10.1016/j.palaeo.2014.09.023
    Publication Date: 2024-01-09
    Description: Pliocene vegetation dynamics and climate variability in West Africa have been investigated through pollen and XRF-scanning records obtained from sediment cores of ODP Site 659 (18°N, 21°W). The comparison between total pollen accumulation rates and Ti/Ca ratios, which is strongly correlated with the dust input at the site, showed elevated aeolian transport of pollen during dusty periods. Comparison of the pollen records of ODP Site 659 and the nearby Site 658 resulted in a robust reconstruction of West African vegetation change since the Late Pliocene. Between 3.6 and 3.0 Ma the savannah in West Africa differed in composition from its modern counterpart and was richer in Asteraceae, in particular of the Tribus Cichorieae. Between 3.24 and 3.20 Ma a stable wet period is inferred from the Fe/K ratios, which could stand for a narrower and better specified mid-Pliocene (mid-Piacenzian) warm time slice. The northward extension of woodland and savannah, albeit fluctuating, was generally greater in the Pliocene. NE trade wind vigour increased intermittently around 2.7 and 2.6 Ma, and more or less permanently since 2.5 Ma, as inferred from increased pollen concentrations of trade wind indicators (Ephedra, Artemisia, Pinus). Our findings link the NE trade wind development with the intensification of the Northern Hemisphere glaciations (iNHG). Prior to the iNHG, little or no systematic relation could be found between sea surface temperatures of the North Atlantic with aridity and dust in West Africa.
    Keywords: Ocean Drilling Program; ODP
    Type: Dataset
    Format: application/zip, 2 datasets
    Location Call Number Limitation Availability
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  • 3
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    Unknown
    PANGAEA
    In:  Supplement to: Talbot, Helen M; Handley, Luke; Spencer-Jones, Charlotte L; Dinga, Bienvenu Jean; Schefuß, Enno; Mann, Paul James; Poulsen, John R; Spencer, Robert GM; Wabakanghanzi, Jose N; Wagner, Thomas (2014): Variability in aerobic methane oxidation over the past 1.2Myrs recorded in microbial biomarker signatures from Congo fan sediments. Geochimica et Cosmochimica Acta, 133, 387-401, https://doi.org/10.1016/j.gca.2014.02.035
    Publication Date: 2024-02-02
    Description: Methane (CH4) is a strong greenhouse gas known to have perturbed global climate in the past, especially when released in large quantities over short time periods from continental or marine sources. It is therefore crucial to understand and, if possible, quantify the individual and combined response of these variable methane sources to natural climate variability. However, past changes in the stability of greenhouse gas reservoirs remain uncertain and poorly constrained by geological evidence. Here, we present a record from the Congo fan of a highly specific bacteriohopanepolyol (BHP) biomarker for aerobic methane oxidation (AMO), 35-aminobacteriohopane-30,31,32,33,34-pentol (aminopentol), that identifies discrete periods of increased AMO as far back as 1.2 Ma. Fluctuations in the concentration of aminopentol, and other 35-aminoBHPs, follow a pattern that correlates with late Quaternary glacial-interglacial climate cycles, with highest concentrations during warm periods. We discuss possible sources of aminopentol, and the methane consumed by the precursor methanotrophs, within the context of the Congo River setting, including supply of methane oxidation markers from terrestrial watersheds and/or marine sources (gas hydrate and/or deep subsurface gas reservoir). Compound-specific carbon isotope values of -30 per mil to -40 per mil for BHPs in ODP 1075 and strong similarities between the BHP signature of the core and surface sediments from the Congo estuary and floodplain wetlands from the interior of the Congo River Basin, support a methanotrophic and likely terrigenous origin of the 35-aminoBHPs found in the fan sediments. This new evidence supports a causal connection between marine sediment BHP records of tropical deep sea fans and wetland settings in the feeding river catchments, and thus tropical continental hydrology. Further research is needed to better constrain the different sources and pathways of methane emission. However, this study identifies the large potential of aminoBHPs, in particular aminopentol, to trace and, once better calibrated and understood, quantify past methane sources and fluxes from terrestrial and potentially also marine sources.
    Keywords: Center for Marine Environmental Sciences; MARUM; Ocean Drilling Program; ODP
    Type: Dataset
    Format: application/zip, 3 datasets
    Location Call Number Limitation Availability
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  • 4
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    Unknown
    PANGAEA
    In:  Supplement to: Küchler, Rony R; Schefuß, Enno; Beckmann, Britta; Dupont, Lydie M; Wefer, Gerold (2013): NW African hydrology and vegetation during the Last Glacial cycle reflected in plant-wax-specific hydrogen and carbon isotopes. Quaternary Science Reviews, 82, 56-67, https://doi.org/10.1016/j.quascirev.2013.10.013
    Publication Date: 2024-01-09
    Description: We present a hydrologic reconstruction of the Sahara-Sahel transition, covering the complete last glacial cycle (130 ka), based on a combination of plant-wax-specific hydrogen (dD) and carbon isotopes (d13C). The dD and d13C signatures of long-chain n-alkanes from ODP Site 659 off NW Africa reveal a significant anti-correlation. Complementary to published pollen data, we infer that this plant-wax signal reflects sensitive responses of the vegetation cover to precipitation changes in the Sahel region, as well as varying contributions from biomes north of the Sahara (C3 domain) by North-East Trade Winds (NETW). During arid phases, especially the northern parts of the Sahel likely experienced crucial water stress, which resulted in a pronounced contraction of the vegetation cover, thus reducing the amount of C4 plant waxes from the region. The increase in NETW strength during dry periods further promoted a more pronounced C3-plant-wax signal derived from the North African C3 plant domain. During humid periods, the C4-dominated Sahelian environments spread northward into the Saharan realm, in association with lower NETW inputs of C3 plant waxes. Arid-humid cycles deduced from plant-wax dD are in accordance with concomitant changes in weathering intensity reflected in varying major element distributions. Environmental shifts are generally linked to periods with large fluctuations in Northern Hemisphere summer insolation. During Marine Isotope Stages 2 and 3, when insolation variability was low, coupling of the hydrologic regime to alkenone-based estimates of NE Atlantic sea-surface temperatures becomes apparent.
    Keywords: Center for Marine Environmental Sciences; MARUM; Ocean Drilling Program; ODP
    Type: Dataset
    Format: application/zip, 3 datasets
    Location Call Number Limitation Availability
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  • 5
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    Unknown
    PANGAEA
    In:  Supplement to: Hötzel, Sebastian; Dupont, Lydie M; Schefuß, Enno; Rommerskirchen, Florian; Wefer, Gerold (2013): The role of fire in Miocene to Pliocene C4 grassland and ecosystem evolution. Nature Geoscience, 6, 1027-1030, https://doi.org/10.1038/ngeo1984
    Publication Date: 2024-01-09
    Description: Modern savannah grasslands were established during the late Miocene and Pliocene (8-3 million years ago). In the tropics, grasslands are dominated by grasses that use the C4 photosynthetic pathway, rather than the C3 pathway. The C4 pathway is better adapted to warm, dry and low-CO2 conditions, leading to suggestions that declining atmospheric CO2 levels, increasing aridity and enhanced rainfall seasonality allowed grasses using this pathway to expand during this interval. The role of fire in C4 expansion may have been underestimated. Here we use analyses of pollen, microscopic charcoal and the stable isotopic composition of plant waxes from a marine sediment core off the coast of Namibia to reconstruct the relative timing of changes in plant composition and fire activity for the late Miocene and Pliocene. We find that in southwestern Africa, the expansion of C4 grasses occurred alongside increasing aridity and enhanced fire activity. During further aridification in the Pliocene, the proportion of C4 grasses in the grasslands increased, while the grassland contracted and deserts and semi-deserts expanded. Our results are consistent with the hypothesis that ecological disturbance by fire was an essential feedback mechanism leading to the establishment of C4 grasslands in the Miocene and Pliocene.
    Keywords: Ocean Drilling Program; ODP
    Type: Dataset
    Format: application/zip, 2 datasets
    Location Call Number Limitation Availability
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