An expanded database of Southern Hemisphere surface sediment dinoflagellate cyst assemblages and their oceanographic affinities
Abstract n = 66) from around Antarctica, doubling the number of Antarctic-proximal samples to 100 (dataset wsi_100) and increasing the total number of Southern Hemisphere samples to 655 (dataset sh_655). Additionally, we use modelled ocean conditions and apply Lagrangian techniques to all Southern Hemisphere sample stations to quantify and evaluate the influence of lateral transport on the sinking trajectory of microplankton and, with that, to the inferred ocean conditions. k k -means cluster analysis identifies nine clusters with a characteristic assemblage. In most clusters a single dinocyst species dominates the assemblage. These clusters correspond to well-defined oceanic conditions in specific Southern Ocean zones or along the ocean fronts. We find that, when lateral transport is predominantly zonal, the environmental parameters inferred from the sea floor assemblages mostly correspond to those of the overlying ocean surface. In this case, the transport factor can thus be neglected and will not represent a bias in the reconstructions. Yet, for some individual sites, e.g. deep-water sites or sites under strong-current regimes, lateral transport can play a large role. The results of our study further constrain environmental conditions represented by dinocyst assemblages and the location of Southern Ocean frontal systems.
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Erschienen in
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An expanded database of Southern Hemisphere surface sediment dinoflagellate cyst assemblages and their oceanographic affinities ; volume:42 ; number:1 ; year:2023 ; pages:35-56 ; extent:22
Journal of micropalaeontology ; 42, Heft 1 (2023), 35-56 (gesamt 22)
- Urheber
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Thöle, Lena Mareike
Nooteboom, Peter Dirk
Hou, Suning
Wang, Rujian
Nie, Senyan
Michel, Elisabeth
Sauermilch, Isabel
Marret, Fabienne
Sangiorgi, Francesca
Bijl, Peter K.
- DOI
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10.5194/jm-42-35-2023
- URN
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urn:nbn:de:101:1-2023060804353908125467
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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14.08.2025, 10:44 MESZ
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Beteiligte
- Thöle, Lena Mareike
- Nooteboom, Peter Dirk
- Hou, Suning
- Wang, Rujian
- Nie, Senyan
- Michel, Elisabeth
- Sauermilch, Isabel
- Marret, Fabienne
- Sangiorgi, Francesca
- Bijl, Peter K.
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