Objective
A central problem of understanding the Earth system is quantifying climate-solid Earth feedback that requires time-series studies. One important time series is the climate (sea level) record that shows transitions between ice ages and warm periods for the last millions of years, involving vast mass transfer between continents (ice load) and oceans. Volcanism is sensitive to such pressure changes, but its response to glacial cycles is largely unknown for the global mid-ocean-ridge (MOR) system, where 80% of Earth’s volcanism occurs. Models of MOR response to sealevel fluctuations predict changes in crustal thickness, chemistry of lavas and hydrothermal activity. Establishing high-resolution time series on MORs, however, has previously not been possible, because the sea floor is rapidly covered by sediment as it moves away from the MOR and thus cannot be directly sampled. Recent studies, however, show MOR eruptions deposit samples of lava as glass on nearby sediments for up to 100 ka. These carbonate-rich sediments can be precisely dated by oxygen isotope stratigraphy and provide an archive of ridge eruptions (glasses) and hydrothermal activity (trace metals) in the sediments that can be sampled by gravity coring. Through closely spaced new cores to be retrieved during multiple research cruises, a high-resolution time series of volcanism and hydrothermal activity can be achieved and directly linked to the climate record, whereas seismic techniques can be used to determine variations in crustal thickness over time. We propose to obtain integrated data sets for all these processes from slow, intermediate and fast spreading ridge segments over the past 1.5 Ma in unprecedented detail. The results of these glass, sediment and crustal thickness time series will allow us to unequivocally test the influence of glacial cycles on MOR processes and will provide the first high-resolution time series of ocean ridge magmatism, opening up a new frontier of scientific exploration.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- natural sciencesearth and related environmental sciencesgeologyvolcanology
- engineering and technologymaterials engineering
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Keywords
Programme(s)
- HORIZON.1.1 - European Research Council (ERC) Main Programme
Topic(s)
Funding Scheme
HORIZON-ERC-SYG - HORIZON ERC Synergy GrantsHost institution
24148 Kiel
Germany