Early warning signals for critical transitions: A generalized modelling approach

S Lade, T Gross

Research output: Contribution to journalArticle (Academic Journal)peer-review

64 Citations (Scopus)

Abstract

Critical transitions are sudden, often irreversible, changes that can occur in a large variety of complex systems. Signals that warn of critical transitions are highly desirable, but their construction can be impeded by limited availability of data. We propose a method that can significantly reduce the amount of time series data required for a robust early warning signal by using other information about the system. This information is integrated through the framework of a generalized model. We demonstrate the applicability of the proposed approach through several examples, including a previously published fisheries model.
Translated title of the contributionEarly warning signals for critical transitions: A generalized modelling approach
Original languageEnglish
Article numbere1002360
Number of pages6
JournalPLoS Computational Biology
Volume8
DOIs
Publication statusPublished - 2012

Bibliographical note

Publisher: Public Library of Science

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