Benthic foraminifera in the Arctic Ocean

• Main Authors: Wollenburg, Jutta E, Kuhnt, Wolfgang
• Format: Dataset
• Language: English
• Published: PANGAEA 2000
• Subjects: Amundsen Basin; Arctic Ocean; ARK-IX/4; ARK-VIII/2; ARK-VIII/3; ARK-XI/1; AWI_Paleo; Barents Sea; Gakkel Ridge; Giant box corer; GKG; Laptev Sea; Taymyr Island; Lomonosov Ridge; Makarov Basin; MIC; MiniCorer; Morris Jesup Rise; MUC; MultiCorer; Nansen Basin; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; PS19/091; PS19/094; PS19/100; PS19/111; PS19/113; PS19/114; PS19/117; PS19/150; PS19/152; PS19/153; PS19/154; PS19/157; PS19/158; PS19/159; PS19/160; PS19/161; PS19/164; PS19/165; PS19/166; PS19/167; PS19/172; PS19/173; PS19/175; PS19/176; Arctic; Taymyr; amundsen basin; Foraminifera*; laptev; makarov basin; Spitsbergen
• Online Access: https://doi.pangaea.de/10.1594/PANGAEA.728293; https://doi.org/10.1594/PANGAEA.728293

We examine the quantitative composition of benthic foraminiferal assemblages of Rose Bengal-stained surface samples from 37 stations in the Laptev Sea, and combine this data set with an existing data set along a transect from Spitsbergen to the central Arctic Ocean. Foraminiferal test accumulation rates, diversity, faunal composition and statistically defined foraminiferal associations are analysed for living (Rose Bengal-stained) and dead foraminifers. We compare the results of several benthic foraminiferal diversity indices and statistically defined foraminiferal associations, including Fisher's alpha and Shannon-Wiener diversity indices, Q-mode principal component analysis and correspondence analysis. Diversity and faunal density (standing stock) of living benthic foraminifers are positively correlated to trophic resources. In contrast, the accumulation rate of dead foraminifers (BFAR) shows fluctuating values depending on test disintegration processes. Foraminiferal associations defined by Q-mode principal component analysis and correspondence analysis are comparable. The factor values of the correspondence analysis allow a quantitative correlation between the foraminiferal fauna and the local carbon flux, which may be used as a tool to estimate changes in primary productivity.