Cyanobacterial glycolipids as tracers of continental climate change
CYANITE aims to enhance climate models by using novel lipid proxies from lake sediments to reconstruct high-resolution continental climate change records, improving predictions of future warming.
Projectdetails
Introduction
Global surface temperatures are increasing in a manner unprecedented in modern Earth history. The extent of future warming on regional to global scales is difficult to predict but crucial for developing climate-resilient pathways and strategies for adaptation and sustainability.
Importance of Ancient Climate Study
The study of ancient climates allows a mechanistic exploration of the Earth system and the opportunity to quantitatively and qualitatively evaluate and improve new generations of climate models. Particularly on the continents, however, the spatiotemporal reconstruction of ancient climates is often associated with large uncertainties due to the scarcity of proxy records.
Innovative Approach of CYANITE
CYANITE takes an innovative approach to fill the ‘proxy record’ gap by tapping lacustrine sediment deposits as high-resolution archives of continental climate change. This will, for the first time, be feasible by the PI’s recent discovery of a novel suite of lipids, known as heterocyte glycolipids (HGs), that are ubiquitously present in lakes worldwide.
Research Objectives
CYANITE will interrogate the sensitivity of HGs to climate forcing in space and time and will develop, validate, and apply HG-based lipid palaeothermometers that will provide essential new insights on the magnitude and timing of past continental climate change.
Methodology
CYANITE will go beyond the current state-of-the-art and through an integrated approach deliver:
- Culture and sediment calibrations to transfer HG-based proxy values to absolute temperatures.
- High-resolution Cenozoic proxy records of continental climate change to facilitate palaeoclimate model-data comparison.
Conclusion
As such, CYANITE will open new pathways in palaeoclimate research and significantly advance our capabilities to reliably forecast future climate change.
Financiële details & Tijdlijn
Financiële details
Subsidiebedrag | € 2.284.012 |
Totale projectbegroting | € 2.284.012 |
Tijdlijn
Startdatum | 1-2-2023 |
Einddatum | 31-1-2028 |
Subsidiejaar | 2023 |
Partners & Locaties
Projectpartners
- RHEINISCH-WESTFAELISCHE TECHNISCHE HOCHSCHULE AACHENpenvoerder
- RUPRECHT-KARLS-UNIVERSITAET HEIDELBERG
Land(en)
Vergelijkbare projecten binnen European Research Council
Project | Regeling | Bedrag | Jaar | Actie |
---|---|---|---|---|
Provenance And tranSport PathwayS of mArine proxy-bearinG particlEsThis project aims to enhance the accuracy of paleoceanographic studies by assessing hydrodynamic impacts on marine sediments and correcting climate signal biases using advanced radiocarbon techniques. | ERC Starting... | € 1.499.766 | 2022 | Details |
Analysing frozen Foraminifera by Cryostage LA-ICPMS: Neogene CO2, patterns, cycles, and climate sensitivity.ForCry aims to revolutionize past climate data recovery by developing a novel laser ablation technique for analyzing small samples, enhancing CO2 reconstructions and understanding climate sensitivity. | ERC Starting... | € 1.451.069 | 2022 | Details |
Using lake sediments to reconstruct soil weathering trajectories over the HoloceneLAKE-SWITCH aims to develop quantitative weathering records over 100-10,000 years using isotopic proxies in Alpine lake sediments to understand human-climate impacts on the Earth's Critical Zone. | ERC Starting... | € 1.494.788 | 2022 | Details |
High-resolution Boron and beyond Geologic reconstructions for carbon and climate processesHighBorG aims to clarify the relationship between climate, CO2, and Antarctic Ice Sheet dynamics across key geological periods to improve future sea level and temperature projections. | ERC Consolid... | € 1.999.925 | 2024 | Details |
Deep ice - Deep learning. Artificial intelligence revealing the oldest ice climate signalsAiCE aims to revolutionize paleoclimate research by using deep learning to analyze chemical impurity signals in Antarctic ice cores, revealing insights into climate dynamics from the Mid-Pleistocene Transition. | ERC Consolid... | € 1.980.998 | 2024 | Details |
Provenance And tranSport PathwayS of mArine proxy-bearinG particlEs
This project aims to enhance the accuracy of paleoceanographic studies by assessing hydrodynamic impacts on marine sediments and correcting climate signal biases using advanced radiocarbon techniques.
Analysing frozen Foraminifera by Cryostage LA-ICPMS: Neogene CO2, patterns, cycles, and climate sensitivity.
ForCry aims to revolutionize past climate data recovery by developing a novel laser ablation technique for analyzing small samples, enhancing CO2 reconstructions and understanding climate sensitivity.
Using lake sediments to reconstruct soil weathering trajectories over the Holocene
LAKE-SWITCH aims to develop quantitative weathering records over 100-10,000 years using isotopic proxies in Alpine lake sediments to understand human-climate impacts on the Earth's Critical Zone.
High-resolution Boron and beyond Geologic reconstructions for carbon and climate processes
HighBorG aims to clarify the relationship between climate, CO2, and Antarctic Ice Sheet dynamics across key geological periods to improve future sea level and temperature projections.
Deep ice - Deep learning. Artificial intelligence revealing the oldest ice climate signals
AiCE aims to revolutionize paleoclimate research by using deep learning to analyze chemical impurity signals in Antarctic ice cores, revealing insights into climate dynamics from the Mid-Pleistocene Transition.