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Southward migration of Arctic Ocean species during the last glacial period

Citation

Zhang, Penghui et al. (2022), Southward migration of Arctic Ocean species during the last glacial period, Dryad, Dataset, https://doi.org/10.5061/dryad.9zw3r22hr

Abstract

The East Asian winter monsoon (EAWM) is associated with northerly surface winds affecting crop and livestock productivity and social and economic activities across East Asia. However, the relationship between EAWM dynamics and marine biota remains poorly understood. In this study, we analyzed fossil ostracods from sediment cores collected in the northwestern Pacific Ocean to detect the appearance/disappearance of circumpolar species during the late Quaternary. We compared our ostracod records, including dating results, with ice-rafted debris records from the Sea of Japan, and identified two southward migration events of Arctic ostracods at 120–100 ka (Marine Isotope Stage [MIS] 5d stadial) and 30–15 ka (MIS 3 and 2, peak Last Glacial), which corresponded to a strengthened EAWM system. Our results indicate that an intensified EAWM influenced the Yellow Sea Bottom Cold Water formation, lowered the winter water temperatures, and allowed Arctic ostracods to migrate southward into the Yellow Sea.

Funding

Natural Science Foundation of Jiangsu Province, Award: BK20210991

State Key Laboratory of Palaeobiology and Stratigraphy (Nanjing Institute of Geology and Palaeontology Chinese Academy of Sciences), Award: 20202104

Research Grants Council of Hong Kong, Award: 17300720

Small Equipment Grant of the University of Hong Kong, Award: 202011159122

Germany-Hong Kong Joint Research Scheme, Award: G-HKU709/21

Seed Collaborative Research Fund, Award: SKLMP/SCRF/0031

HKU-TCL Joint Research Centre for Artificial Intelligence

Ecology and Biodiversity Division Fund, the University of Hong Kong, and Peter Buck Postdoc Fellowship, Smithsonian Institution

Nanjing Institute of Geology and Palaeontology, Award: 203108

Post-doctoral Fellow Scheme of the University of Hong Kong

China Geological Survey, Award: DD20190818

China Geological Survey, Award: DD20160152

The National Natural Science Foundation of China, Award: 41702162

Research Grants Council of Hong Kong, Award: 17300821

Small Equipment Grant of the University of Hong Kong, Award: 202111159167