Early predictor for the onset of critical transitions in networked dynamical systems
Numerous natural and human-made systems exhibit critical transitions whereby slow
changes in environmental conditions spark abrupt shifts to a qualitatively distinct state …
changes in environmental conditions spark abrupt shifts to a qualitatively distinct state …
Antifragility in complex dynamical systems
Antifragility characterizes the benefit of a dynamical system derived from the variability in
environmental perturbations. Antifragility carries a precise definition that quantifies a …
environmental perturbations. Antifragility carries a precise definition that quantifies a …
Predicting multiple observations in complex systems through low-dimensional embeddings
Forecasting all components in complex systems is an open and challenging task, possibly
due to high dimensionality and undesirable predictors. We bridge this gap by proposing a …
due to high dimensionality and undesirable predictors. We bridge this gap by proposing a …
Reactivity of complex communities can be more important than stability
Understanding stability—whether a community will eventually return to its original state after
a perturbation—is a major focus in the study of various complex systems, particularly …
a perturbation—is a major focus in the study of various complex systems, particularly …
Early warning signals have limited applicability to empirical lake data
Research aimed at identifying indicators of persistent abrupt shifts in ecological
communities, aka regime shifts, has led to the development of a suite of early warning …
communities, aka regime shifts, has led to the development of a suite of early warning …
Towards ecosystem‐based techniques for tip** point detection
An ecosystem shifts to an alternative stable state when a threshold of accumulated pressure
(ie direct impact of environmental change or human activities) is exceeded. Detecting this …
(ie direct impact of environmental change or human activities) is exceeded. Detecting this …
Early warning signals of complex critical transitions in deterministic dynamics
Abstract Early Warning Signals (EWS) have generated much excitement for their potential to
anticipate transitions in various systems, ranging from climate change in ecology to disease …
anticipate transitions in various systems, ranging from climate change in ecology to disease …
Tracking the distance to criticality in systems with unknown noise
Many real-world systems undergo abrupt changes in dynamics as they move across critical
points, often with dramatic and irreversible consequences. Much existing theory on …
points, often with dramatic and irreversible consequences. Much existing theory on …
EWSmethods: an R package to forecast tip** points at the community level using early warning signals, resilience measures, and machine learning models
Early warning signals (EWSs) represent a potentially universal tool for identifying whether a
system is approaching a tip** point, and have been applied in fields including ecology …
system is approaching a tip** point, and have been applied in fields including ecology …
Time-series-analysis-based detection of critical transitions in real-world non-autonomous systems
K Lehnertz - Chaos: An Interdisciplinary Journal of Nonlinear …, 2024 - pubs.aip.org
Real-world non-autonomous systems are open, out-of-equilibrium systems that evolve in
and are driven by temporally varying environments. Such systems can show multiple …
and are driven by temporally varying environments. Such systems can show multiple …