Anticipation of Oligocene's climate heartbeat by simplified eigenvalue estimation
Martin He{\ss}ler, Oliver Kamps

TL;DR
This paper introduces a simplified eigenvalue estimation method to analyze climate transition signals in sediment data, revealing potential early indicators of the Oligocene's climate shift from greenhouse to icehouse conditions.
Contribution
It presents a novel autoregression-based eigenvalue estimation technique for detecting bifurcations in paleoclimate time series, with validation and application to Eocene-Oligocene data.
Findings
Identified a potential bifurcation point 34 million years ago.
Demonstrated the method's robustness across parameter ranges.
Suggested early warning signals for climate regime shifts.
Abstract
The Eocene-Oligocene transition marks a watershed point of earth's climate history. The climate shifts from a greenhouse state to an icehouse state in which Antarctica glaciated for the first time and periodic dynamics arise which are still relevant for our current climate. We analyse a concentration time series which covers the Eocene-Oligocene transition and which is obtained from a Pacific sediment core at site DSDP1218. Therefore, we introduce a simplified autoregression-based variant of the dominant eigenvalue (DEV) estimation procedure. The DEV works as leading indicator of bifurcation-induced transitions and enables us to identify the bifurcation type. We confirm its reliability in a methodological study and demonstrate the crucial importance of proper detrending to obtain unbiased results. As a remark, we discuss also possible pathways to estimate the stability of limit…
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Taxonomy
TopicsEcosystem dynamics and resilience · Sustainability and Ecological Systems Analysis
