Automated Author ProfileKienast, Frank
Senckenberg, Research Institute and Natural History Museum, Research Station for Quaternary Palaeontology, Am Jakobskirchhof 4, 99423 Weimar, Germany
Kienast, Frank
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 2.3 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Although ancient DNA from sediments (sedaDNA) has been used to investigate past ecosystems, the approach has never been directly compared to the traditional methods of pollen and macrofossil analysis. We conducted a comparative survey of 18 ancient permafrost samples spanning the Late Pleistocene (46–12.5 thousand years ago), from the Taymyr Peninsula in northern Siberia. The results show that pollen, macrofossils and sedaDNA are complementary rather than overlapping, and in combination reveal more detailed information on plant palaeocommunities than can be achieved by each individual approach. SedaDNA and macrofossils share greater overlap in plant identifications than with pollen, suggesting that sedaDNA is local in origin. These two proxies also permit identification to lower taxonomic levels than pollen, enabling investigation of temporal changes in species composition and the determination of indicator species to describe environmental changes. Combining data from all three proxies, reveals an area continually dominated by a mosaic vegetation of tundra-steppe, pioneer and wet-indicator plants. Such vegetational stability is unexpected, given the severe climate changes taking place in the northern hemisphere during this time, with changes in average annual temperatures of > 22ºC. This may explain the abundance of ice-age mammals such as horse and bison in Taymyr Peninsula during the Pleistocene, and why it acted as a refugium for the last mainland woolly mammoth. Our finding reveals the benefits of combining sedaDNA, pollen and macrofossil for palaeovegetational reconstruction and add to the increasing evidence suggesting large areas of the northern hemisphere remained ecologically stable during the Late Pleistocene.
Authors
- Jørgensen, Tina ;
- Haile, James ;
- Möller, Per ;
- Andreev, Andrei ;
- Boessenkool, Sanne ;
- Rasmussen, Morten ;
- Kienast, Frank ;
- Coissac, Eric ;
- Taberlet, Pierre ;
- Brochmann, Christian ;
- Bigelow, Nancy H. ;
- Andersen, Kenneth ;
- Orlando, Ludovic ;
- Gilbert, M. Thomas P. ;
- Willerslev, Eske