Quantifying resilience of humans and other animals

Marten Scheffer*, J.E. Bolhuis, Denny Borsboom, Timothy G. Buchman, Sanne M.W. Gijzel, Dave Goulson, Jan E. Kammenga, Bas Kemp, Ingrid A. van de Leemput, Simon Levin, Carmel Mary Martin, René J.F. Melis, Egbert H. van Nes, L.M. Romero, Marcel G.M. Olde Rikkert

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

54 Citations (Scopus)

Abstract

All life requires the capacity to recover from challenges that are as inevitable as they are unpredictable. Understanding this resilience is essential for managing the health of humans and their livestock. It has long been difficult to quantify resilience directly, forcing practitioners to rely on indirect static indicators of health. However, measurements from wearable electronics and other sources now allow us to analyze the dynamics of physiology and behavior with unsurpassed resolution. The resulting flood of data coincides with the emergence of novel analytical tools for estimating resilience from the pattern of microrecoveries observed in natural time series. Such dynamic indicators of resilience may be used to monitor the risk of systemic failure across systems ranging from organs to entire organisms. These tools invite a fundamental rethinking of our approach to the adaptive management of health and resilience.
Original languageEnglish
Pages (from-to)11883-11890
JournalProceedings of the National Academy of Sciences of the United States of America
Volume115
Issue number47
DOIs
Publication statusPublished - 20 Nov 2018

Fingerprint Dive into the research topics of 'Quantifying resilience of humans and other animals'. Together they form a unique fingerprint.

Cite this