Egbert H. van Nes

Reconstructing Langevin systems from high and low-resolution time series using Euler and Hermite reconstructions

This paper introduces Euler and Hermite reconstruction methods to estimate Langevin systems from time series data, showing their effectiveness across simulated and real ecological and climate datasets.

Multivariate resilience indicators to anticipate vector-borne disease outbreaks: a West Nile virus case-study

This paper compares multivariate and univariate resilience indicators for early warning of West Nile virus outbreaks, finding multivariate indicators perform better in data-poor scenarios.

Early warning signals of emerging infectious diseases

This study evaluates early warning signals for infectious disease outbreaks using critical slowing down indicators and time-to-event analyses across multiple diseases and regions, finding reliable lead times for intervention.

Improved potential analysis for inadequate ecological data

This paper introduces an improved potential analysis method to better handle ecological data limitations and enhance predictions of ecosystem dynamics and resilience.

Stochastic regimes can hide the attractors in data, reconstruction algorithms can reveal them

The paper shows that stochastic regimes can obscure attractors in data, and that reconstruction algorithms can reveal them by analyzing the relationship between noise and system equilibria.