Preprints
https://doi.org/10.5194/egusphere-2025-6345
https://doi.org/10.5194/egusphere-2025-6345
11 Feb 2026
 | 11 Feb 2026
Status: this preprint is open for discussion and under review for Earth System Dynamics (ESD).

An Information-Based World-Earth System Resilience Index

John M. Anderies, Max Bechthold, Jonathan F. Donges, Ingo Fetzer, Nico Wunderling, Wolfram Barfuss, and Johan Rockström

Abstract. In order to address the emerging global polycrisis, it is essential to develop quantitative indicators for estimating resilience of essential bio-geophysical and social drivers of change. Such indicators are required to navigate the Anthropocene and to assess which actions increase the likelihood of achieving a safe and just operating space (SAJOS). In this paper, we propose a novel information-based resilience metric. We define it as the conditional probability of a system reaching a desired system state, e.g. a SAJOS, given initial conditions and an information set. This information set reflects knowledge about relevant ranges of bio-physical and socio-cultural system dynamics, boundaries and perturbations. The resulting resilience index is highly dependent on the available information about the system and its intrinsic action capacities. An increase in epistemic knowledge about the system does not necessarily result in enhanced resilience. It is still possible to envisage scenarios in which one could find oneself in a world that is capable of attaining a SAJOS in only a limited number of circumstances. Our proposed approach facilitates the operationalization and quantification of resilience in complex World-Earth system (WES) models. Resilience should be understood as being constrained by available information about the system, its internal processes, boundaries, and the capacity of the system to act in an uncertain future. This further implies the importance of making informed investment decisions that balance improving system understanding (i.e. gaining information), increasing (anticipatory) capacities of action, and taking common-sense action to enhance resilience. Our information-based index can be applied to any kind of system. Since it answers the classical question of "resilience of what, to what" on a meta level, it allows moving beyond a highly specified and static notion of resilience, allowing for a wide range of application cases.

Competing interests: At least one of the (co-)authors is a member of the editorial board of Earth System Dynamics.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this paper. While Copernicus Publications makes every effort to include appropriate place names, the final responsibility lies with the authors. Views expressed in the text are those of the authors and do not necessarily reflect the views of the publisher.
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John M. Anderies, Max Bechthold, Jonathan F. Donges, Ingo Fetzer, Nico Wunderling, Wolfram Barfuss, and Johan Rockström

Status: open (until 25 Mar 2026)

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John M. Anderies, Max Bechthold, Jonathan F. Donges, Ingo Fetzer, Nico Wunderling, Wolfram Barfuss, and Johan Rockström

Data sets

An Information-Based World Earth System Index; Data Max Bechthold and John M. Anderies https://doi.org/10.5281/zenodo.17098743

Model code and software

An-Information-Based-World-Earth-System-Resilience-Index Max Bechthold and John M. Anderies https://doi.org/10.5281/zenodo.17100929

John M. Anderies, Max Bechthold, Jonathan F. Donges, Ingo Fetzer, Nico Wunderling, Wolfram Barfuss, and Johan Rockström

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Short summary
This paper explores a new approach to understanding human-Earth system resilience. It introduces a measure that estimates how likely a system is to reach a safe and just state. Available knowledge about how the system works, its boundaries, and potential disruptions centrally constrain the measure. It could help decision-makers strike a balance between gaining knowledge, building capacity to act, and taking practical measures to improve resilience in many different types of systems.
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