Early predictor for the onset of critical transitions in networked dynamical systems

Z Liu, X Zhang, X Ru, TT Gao, JM Moore, G Yan - Physical Review X, 2024 - APS
Numerous natural and human-made systems exhibit critical transitions whereby slow
changes in environmental conditions spark abrupt shifts to a qualitatively distinct state …

Antifragility in complex dynamical systems

C Axenie, O López-Corona, MA Makridis… - npj Complexity, 2024 - nature.com
Antifragility characterizes the benefit of a dynamical system derived from the variability in
environmental perturbations. Antifragility carries a precise definition that quantifies a …

Predicting multiple observations in complex systems through low-dimensional embeddings

T Wu, X Gao, F An, X Sun, H An, Z Su, S Gupta… - Nature …, 2024 - nature.com
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 …

Reactivity of complex communities can be more important than stability

Y Yang, KZ Coyte, KR Foster, A Li - Nature Communications, 2023 - nature.com
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 …

Early warning signals have limited applicability to empirical lake data

DA O'Brien, S Deb, G Gal, SJ Thackeray… - Nature …, 2023 - nature.com
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 …

Towards ecosystem‐based techniques for tip** point detection

DA Hemraj, J Carstensen - Biological Reviews, 2024 - Wiley Online Library
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 …

Early warning signals of complex critical transitions in deterministic dynamics

K Evers, D Borsboom, EI Fried, F Hasselman… - Nonlinear …, 2024 - Springer
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 …

Tracking the distance to criticality in systems with unknown noise

B Harris, LL Gollo, BD Fulcher - Physical Review X, 2024 - APS
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 …

EWSmethods: an R package to forecast tip** points at the community level using early warning signals, resilience measures, and machine learning models

DA O'Brien, S Deb, S Sidheekh, NC Krishnan… - …, 2023 - Wiley Online Library
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 …

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 …