ALBERT

All Library Books, journals and Electronic Records Telegrafenberg

feed icon rss

Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
Filter
Collection
Keywords
  • 1
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: Gupta, Anil K; Sundar Raj, M; Mohan, Kuppusamy; De, Soma (2008): A major change in monsoon-driven productivity in the tropical Indian Ocean during ca 1.2-0.9 Myr: Foraminiferal faunal and stable isotope data. Palaeogeography, Palaeoclimatology, Palaeoecology, 261(3-4), 234-245, https://doi.org/10.1016/j.palaeo.2008.01.012
    Publication Date: 2023-07-10
    Description: Tropical climate is variable on astronomical time scale, driving changes in surface and deep-sea fauna during the Pliocene-Pleistocene. To understand these changes in the tropical Indian Ocean over the past 2.36 Myr, we quantitatively analyzed deep-sea benthic foraminifera and selected planktic foraminifera from 〉125 µm size fraction from Deep Sea Drilling Project Site 219. The data from Site 219 was combined with published foraminiferal and isotope data from Site 214, eastern Indian Ocean to determine the nature of changes. Factor and cluster analyses of the 28 highest-ranked species distinguished four biofacies, characterizing distinct deep-sea environmental settings. These biofacies have been named after their most dominant species such as Stilostomella lepidula-Pleurostomella alternans (Sl-Pa), Nuttallides umbonifer-Globocassidulina subglobosa (Nu-Gs), Oridorsalis umbonatus-Gavelinopsis lobatulus (Ou-Gl) and Epistominella exigua-Uvigerina hispido-costata (Ee-Uh) biofacies. Biofacies Sl-Pa ranges from ~2.36 to 0.55 Myr, biofacies Nu-Gs ranges from ~1.9 to 0.65 Myr, biofacies Ou-Gl ranges from ~1 to 0.35 Myr and biofacies Ee-Uh ranges from 1.1 to 0.25 Myr. The proxy record indicates fluctuating tropical environmental conditions such as oxygenation, surface productivity and organic food supply. These changes appear to have been driven by changes in monsoonal wind intensity related to glacial-interglacial cycles. A shift at ~1.2-0.9 Myr is observed in both the faunal and isotope records at Site 219, indicating a major increase in monsoon-induced productivity. This coincides with increased amplitude of glacial cycles, which appear to have influenced low latitude monsoonal climate as well as deep-sea conditions in the tropical Indian Ocean.
    Keywords: 23-219; Astrononion umbilicatulum; Bolivina pseudoplicata; Bolivina pusilla; Bulimina aculeata; Bulimina alazanensis; Bulimina striata; Cassidulina carinata; Cibicides bradyi; Cibicides wuellerstorfi; Counting 〉125 µm fraction; Deep Sea Drilling Project; Discopulvinulina bertheloti; DRILL; Drilling/drill rig; DSDP; DSDP/ODP/IODP sample designation; Eggerella bradyi; Ehrenbergina carinata; Epistominella exigua; Evolvocassidulina bradyii; Gavelinopsis lobatulus; Globocassidulina pacifica; Globocassidulina subglobosa; Glomar Challenger; Gyroidinoides cibaoensis; Hoeglundina elegans; Indian Ocean/Arabian Sea/RIDGE; Leg23; Melonis barleeanus; Nuttallides umbonifera; Oridorsalis umbonatus; Osangularia culter; Pleurostomella alternans; Pullenia bulloides; Sample code/label; Stilostomella lepidula; Uvigerina hispidocostata; Uvigerina proboscidea
    Type: Dataset
    Format: text/tab-separated-values, 2059 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 2
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: De, Soma; Gupta, Anil K (2010): Deep-sea faunal provinces and their inferred environments in the Indian Ocean based on distribution of Recent benthic foraminifera. Palaeogeography, Palaeoclimatology, Palaeoecology, 291(3-4), 429-442, https://doi.org/10.1016/j.palaeo.2010.03.012
    Publication Date: 2024-02-29
    Description: Multivariate analysis was performed on percentages of 46 species of unstained deep-sea benthic foraminifera from 131 core-top to near-core-top samples (322–5013 m) from across the Indian Ocean. Faunal data are combined with GEOSECS geochemical data to investigate any relationship between benthic foraminifera (assemblages and species) and deep-sea properties. In general, benthic foraminifera show a good correlation to surface productivity, organic carbon flux to the sea floor, deep-sea oxygenation and, to a lesser extent, to bottom temperature, without correlation with the water depths. The foraminiferal census data combined with geochemical data has enabled the division of the Indian Ocean into two faunal provinces. Province A occupies the northwestern Indian Ocean (Arabian Sea region) where surface primary production has a major maximum during the summer monsoon season and a secondary maximum during winter monsoon season that leads to high organic flux to the seafloor, making the deep-sea one of the most oxygen-deficient regions in the world ocean, with a pronounced oxygen minimum zone (OMZ). This province is dominated by benthic foraminifera characteristic of low oxygen and high organic food flux including Uvigerina peregrina, Robulus nicobarensis, Bolivinita pseudopunctata, Bolivinita sp., Bulimina aculeata, Bulimina alazanensis, Ehrenbergina carinata and Cassidulina carinata. Province B covers southern, southeastern and eastern parts of the Indian Ocean and is dominated by Nuttallides umbonifera, Epistominella exigua, Globocassidulina subglobosa, Uvigerina proboscidea, Cibicides wuellerstorfi, Cassidulina laevigata, Pullenia bulloides, Pullenia osloensis, Pyrgo murrhina, Oridorsalis umbonatus, Gyroidinoides (= Gyroidina) soldanii and Gyroidinoides cf. gemma suggesting well-oxygenated, cold deep water with low (oligotrophic) and pulsed food supply.
    Keywords: 115-705A; 115-707A; 115-707B; 115-708A; 115-709B; 115-709C; 115-710A; 115-710B; 115-711B; 115-712A; 115-714A; 115-714B; 115-715A; 115-716A; 115-716B; 116-718B; 117-721A; 117-722B; 117-723A; 117-725B; 117-725C; 117-728B; 117-729A; 117-731A; 121-752A; 121-756B; 121-757A; 121-757B; 121-758A; AII15-765; AII15-766; AR4-55; Arabian Sea; Argo; Astrononion umbilicatulum; BC; Bolivina ordinaria; Bolivina pygmaea; Bolivina seminuda; Bolivinita pseudopunctata; Bolivinita sp.; Box corer; Bulimina aculeata; Bulimina alazanensis; Bulimina marginata; Cassidulina carinata; Cassidulina crassa; Cassidulina laevigata; CD17; CD17-05; CD17-06; CD17-14; CD17-15; CD17-17; CD17-18; CD17-23; CD17-27; CD17-28; CD17-29; CD17-30; CD17-32; CD17-33; CD17-34; CD17-35; CD17-36; CD17-39; CD17-42; Charles Darwin; Cibicides wuellerstorfi; Counting 〉125 µm fraction; Cribrostomoides wiesneri; DEPTH, sediment/rock; Discopulvinulina bertheloti; DODO; DODO-131; DODO-148; DODO-149; DODO-151G; DRILL; Drilling/drill rig; Eggerella bradyi; Ehrenbergina carinata; Ehrenbergina trigona; Elevation of event; Epistominella exigua; Event label; Gaudryina solida; GC; Globocassidulina subglobosa; Gravity corer; Gyroidinoides cf. gemma; Gyroidinoides cibaoensis; Gyroidinoides orbicularis; Gyroidinoides soldanii; Horizon; Hyalinea balthica; Indian Ocean; Joides Resolution; Lakshadweep Sea; Laticarinina pauperata; Latitude of event; Leg115; Leg116; Leg117; Leg121; Longitude of event; LSDA; LSDA-122G; LSDA-123G; LSDH; LSDH-025G; LUSIAD-A; LUSIAD-H; Marion Dufresne (1972); MD13; MD77-146; MD77-148; MD77-149; MD77-150; MD77-151; MD77-152; MD77-153; MD77-154; MD77-155; MD77-156; MD77-159; MD77-160; Melonis barleeanus; MONS01AR-MONS08AR; MONSOON; MSN-55G; MSN-56P; MSN-61G; MSN-62G; Nuttallides umbonifera; Ocean Drilling Program; ODP; Oridorsalis umbonatus; OSIRIS III; PC; Piston corer; Pullenia bulloides; Pullenia osloensis; Pullenia quinqueloba; Pyrgo murrhina; RC11; RC11-101; RC11-103; RC1112; RC14; RC14-12A; RC14-21TW; RC14-29; RC14-31TW; RC14-33TW; RC14-34TW; RC14-35TW; RC14-36; RC14-37TW; RC14-53TW; RC17; RC17-131TW; RC17-132TW; RC17-135; RC17-136TW; RC17-137TW; RC17-63; RC17-80; RC17-81; RC17-82; RC17-83; RC17-84; RC17-85; RC17-88TW; RC17-90; RC17-92; RC17-93; RC17-94; RC17-95; RC17-97; Recurvoides scitulum; Reference/source; Reophax bilocularis; Reophax dentaliniformis; Robert Conrad; Robulus iota; Robulus nicobarensis; Sample code/label; Sigmoilopsis schlumbergeri; South Indian Ridge, South Indian Ocean; Sphaeroidina bulloides; Textularia agglutinans; Uvigerina peregrina; Uvigerina porrecta; Uvigerina proboscidea; Uvigerina spinicostata; V16; V16-65; V16-66; V18; V18-191; V18-193; V20; V20-170; V20-174; V20-175; V24; V24-201; V24-208; V28; V28-352; V28-352TW; V29; V29-4; V29-6; V29-76; V29-8; V34; V34-48; V34-49; V34-50; V34-51; V34-52; V34-53; V34-54; V34-55; V34-56; V34-58; V34-59; V34-60; Vema
    Type: Dataset
    Format: text/tab-separated-values, 6288 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 3
    Publication Date: 2010-08-16
    Description: This study is aimed at understanding past 444 ka record of climate variability in the equatorial Indian Ocean using high resolution records of planktic and benthic foraminifera and pteropods from Ocean Drilling Program Hole 716A, Maldives Ridge, southeastern Arabian Sea. In total, 892 samples of 10 cm3 volume from 444 ka old sequence were analysed at 1 cm intervals to generate census data of the foraminiferal fauna and pteropods. The percent and detrended time series of mixed-layer species Globigerinoides ruber and Globigerinoides sacculifer and thermocline species Neogloboquadrina dutertrei, benthic foraminifera Cymbaloporetta squammosa, Sphaeroidina bulloides and Uvigerina proboscidea, and pteropods from ODP Hole 716A reveal significant changes in wind intensity during the past 444 ka. An abrupt decrease in the Cymbaloporetta squammosa population at c. 300 ka (across MIS 8/9) suggests a weakening of equatorial wind intensity, which could be linked to Indian monsoon and may have driven pronounced changes in the oxygen minimum zone in the Maldivian region. These changes were contemporaneous with the Mid-Brunhes Climatic Event, the beginning of aridity in the Indonesian-Australian region and the onset of a humid phase in equatorial East Africa as observed in several oceanic and continental records. This strengthens a connection between equatorial Indian Ocean wind intensity, the Indian monsoon and Indonesian-Australian-African climates. Supplementary materialPercentages of benthic and planktic foraminifera and pteropods used in the present study are available at http://www.geolsoc.org.uk/SUP18413
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 4
    Publication Date: 2015-12-07
    Print ISSN: 1550-7998
    Electronic ISSN: 1550-2368
    Topics: Physics
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 5
    Publication Date: 2014-06-04
    Print ISSN: 1550-7998
    Electronic ISSN: 1550-2368
    Topics: Physics
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 6
    Publication Date: 2013-07-08
    Print ISSN: 1550-7998
    Electronic ISSN: 1550-2368
    Topics: Physics
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 7
    Publication Date: 2013-09-24
    Print ISSN: 1550-7998
    Electronic ISSN: 1550-2368
    Topics: Physics
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 8
    Publication Date: 2010-01-17
    Print ISSN: 1087-0156
    Electronic ISSN: 1546-1696
    Topics: Biology , Process Engineering, Biotechnology, Nutrition Technology
    Published by Springer Nature
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 9
    Publication Date: 2008-02-11
    Print ISSN: 1539-3755
    Electronic ISSN: 1550-2376
    Topics: Physics
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 10
    Publication Date: 2015-04-28
    Print ISSN: 0924-090X
    Electronic ISSN: 1573-269X
    Topics: Mathematics
    Published by Springer
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
Close ⊗
This website uses cookies and the analysis tool Matomo. More information can be found here...