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Abstract
Sea ice is a key factor for the functioning and services provided by polar marine ecosystems. However, ecosystem responses to sea-ice loss are largely unknown because time-series data are lacking. Here, we use shotgun metagenomics of marine sedimentary ancient DNA off Kamchatka (Western Bering Sea) covering the last ~20,000 years. We traced shifts from a sea ice-adapted late-glacial ecosystem, characterized by diatoms, copepods, and codfish to an ice-free Holocene characterized by cyanobacteria, salmon, and herring. By providing information about marine ecosystem dynamics across a broad taxonomic spectrum, our data show that ancient DNA will be an important new tool in identifying long-term ecosystem responses to climate transitions for improvements of ocean and cryosphere risk assessments. We conclude that continuing sea-ice decline on the northern Bering Sea shelf might impact on carbon export and disrupt benthic food supply and could allow for a northward expansion of salmon and Pacific herring.
Ecosystem responses to prehistoric sea-ice loss are poorly known. Using marine sedimentary ancient DNA form the Bering Sea covering the last ~20,000 years, this study reveals a transition from a sea ice-adapted ecosystem, characterized by diatoms, copepods and codfish, to an ice-free Holocene with cyanobacteria, salmon and herring.
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1 Polar Terrestrial Environmental Systems, Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research, Potsdam, Germany (GRID:grid.10894.34) (ISNI:0000 0001 1033 7684); Geological Survey of Denmark and Greenland (GEUS), Department of Glaciology and Climate, Copenhagen, Denmark (GRID:grid.13508.3f) (ISNI:0000 0001 1017 5662)
2 Polar Terrestrial Environmental Systems, Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research, Potsdam, Germany (GRID:grid.10894.34) (ISNI:0000 0001 1033 7684)
3 Polar Terrestrial Environmental Systems, Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research, Potsdam, Germany (GRID:grid.10894.34) (ISNI:0000 0001 1033 7684); Constructor University Bremen, Computational Systems Biology, Bremen, Germany (GRID:grid.7704.4) (ISNI:0000 0001 2297 4381)
4 Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research, Data Science Support, Bremerhaven, Germany (GRID:grid.10894.34) (ISNI:0000 0001 1033 7684)
5 Constructor University Bremen, Computational Systems Biology, Bremen, Germany (GRID:grid.7704.4) (ISNI:0000 0001 2297 4381)
6 Ocean circulation and climate dynamics, GEOMAR Helmholtz Centre for Ocean Research Kiel, Kiel, Germany (GRID:grid.15649.3f) (ISNI:0000 0000 9056 9663)
7 Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research, Marine Geology, Bremerhaven, Germany (GRID:grid.10894.34) (ISNI:0000 0001 1033 7684); University of Bremen, MARUM, Center for Marine Environmental Sciences, Bremen, Germany (GRID:grid.7704.4) (ISNI:0000 0001 2297 4381)
8 Polar Terrestrial Environmental Systems, Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research, Potsdam, Germany (GRID:grid.10894.34) (ISNI:0000 0001 1033 7684); University of Potsdam, Institute of Biochemistry and Biology, Potsdam, Germany (GRID:grid.11348.3f) (ISNI:0000 0001 0942 1117); University of Potsdam, Institute of Environmental Sciences and Geography, Potsdam, Germany (GRID:grid.11348.3f) (ISNI:0000 0001 0942 1117)