Project description DEENESFRITPL Studying past Arctic ice melt to predict the future In the late 20th century, the extent of Arctic sea ice was over 2 million square kilometres more than it is today. Sea ice cover in the Arctic has been decreasing steadily over recent decades and continues to do so. The EU-funded ICEPRINT project will design, test and apply new genetic proxies for reconstruction of past sea ice extent. An understanding of past variability is key to predicting the range of climate change impacts on the Earth system. As such, the identification of new reliable proxies for sea ice tops the list of challenges facing palaeoclimatology today. The project will apply classical taxonomy and DNA metabarcoding to study the vertical export of microalgae in the spring, after sea ice melt. Show the project objective Hide the project objective Objective Through this MSC action, I propose to design, test, and apply new genetic proxies for reconstruction of past sea ice extent. Satellite observations show an abrupt decrease in the extent of seasonal sea ice and state-of-the-art projections point to a seasonally ice-free Arctic Ocean by mid-century. Predicting the full range of climate change impacts on the Earth system requires an understanding of past variability. Past sea ice information is, however, limited by the fact that sea ice leaves no direct fingerprint in the geological record. The identification of new reliable proxies for sea ice is one of the most important challenges facing paleoclimatology today. DNA from sea ice microalgae offers an exciting possibility, as the sea ice environment harbours an enormously diverse and highly specialized community of protists, including diatoms and dinoflagellates. Because only a small fraction of sea ice microalgae leave a microfossil imprint in marine sediments and many species are only identifiable by advanced microscopy techniques, one limitation is that molecular references are lacking for many potential DNA gene markers. To identify the potential proxies I will apply classical taxonomy and DNA metabarcoding to study the vertical export of microalgae in the spring, after sea ice melt. The potential of the new sea ice proxies will be tested and selected markers will be applied by exploring sedimentary ancient DNA preserved in marine sediments records from the Arctic. Fields of science natural sciencesearth and related environmental sciencespalaeontologypaleoclimatologynatural sciencesbiological sciencesgeneticsDNAengineering and technologymechanical engineeringvehicle engineeringaerospace engineeringsatellite technologynatural sciencesphysical sciencesopticsmicroscopynatural sciencesearth and related environmental sciencesatmospheric sciencesclimatologyclimatic changes Programme(s) H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions Main Programme H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility Topic(s) MSCA-IF-2018 - Individual Fellowships Call for proposal H2020-MSCA-IF-2018 See other projects for this call Funding Scheme MSCA-IF-GF - Global Fellowships Coordinator Geological Survey of Denmark and Greenland Net EU contribution € 273 687,36 Address Oster voldgade 10 1350 Kobenhavn k Denmark See on map Region Danmark Hovedstaden Byen København Activity type Other Links Contact the organisation Opens in new window Website Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Other funding € 0,00 Partners (1) Sort alphabetically Sort by Net EU contribution Expand all Collapse all Partner Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement. UNIVERSITE LAVAL Canada Net EU contribution € 0,00 Address Allee des bibliotheques 2345 G1V 0A6 Quebec See on map Activity type Higher or Secondary Education Establishments Links Contact the organisation Opens in new window Website Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Other funding € 164 031,36
